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<article xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" article-type="research-article" xml:lang="en">
<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">AJLM</journal-id>
<journal-title-group>
<journal-title>African Journal of Laboratory Medicine</journal-title>
</journal-title-group>
<issn pub-type="ppub">2225-2002</issn>
<issn pub-type="epub">2225-2010</issn>
<publisher>
<publisher-name>AOSIS</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="publisher-id">AJLM-13-2509</article-id>
<article-id pub-id-type="doi">10.4102/ajlm.v13i1.2509</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Original Research</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>An audit of the iron status of patients at Chris Hani Baragwanath Academic Hospital, in Johannesburg, South Africa</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<contrib-id contrib-id-type="orcid">https://orcid.org/0000-0001-9741-4418</contrib-id>
<name>
<surname>Grove</surname>
<given-names>Jurette S.</given-names>
</name>
<xref ref-type="aff" rid="AF0001">1</xref>
<xref ref-type="aff" rid="AF0002">2</xref>
</contrib>
<contrib contrib-type="author">
<contrib-id contrib-id-type="orcid">https://orcid.org/0000-0001-8068-7460</contrib-id>
<name>
<surname>Khoza</surname>
<given-names>Siyabonga</given-names>
</name>
<xref ref-type="aff" rid="AF0001">1</xref>
<xref ref-type="aff" rid="AF0002">2</xref>
</contrib>
<contrib contrib-type="author">
<contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-6591-7026</contrib-id>
<name>
<surname>Mabuza</surname>
<given-names>Dineo V.</given-names>
</name>
<xref ref-type="aff" rid="AF0003">3</xref>
</contrib>
<contrib contrib-type="author">
<contrib-id contrib-id-type="orcid">https://orcid.org/0000-0001-5050-8097</contrib-id>
<name>
<surname>Khan</surname>
<given-names>Shaida B.</given-names>
</name>
<xref ref-type="aff" rid="AF0001">1</xref>
<xref ref-type="aff" rid="AF0002">2</xref>
</contrib>
<aff id="AF0001"><label>1</label>Department of Chemical Pathology, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa</aff>
<aff id="AF0002"><label>2</label>National Health Laboratory Service, Johannesburg, South Africa</aff>
<aff id="AF0003"><label>3</label>Department of Chemical Pathology, Faculty of Pathology, PathCare Laboratories, Johannesburg, South Africa</aff>
</contrib-group>
<author-notes>
<corresp id="cor1"><bold>Corresponding author:</bold> Jurette Grove, <email xlink:href="jurettegrove@gmail.com">jurettegrove@gmail.com</email></corresp>
</author-notes>
<pub-date pub-type="epub"><day>18</day><month>10</month><year>2024</year></pub-date>
<pub-date pub-type="collection"><year>2024</year></pub-date>
<volume>13</volume>
<issue>1</issue>
<elocation-id>2509</elocation-id>
<history>
<date date-type="received"><day>24</day><month>05</month><year>2024</year></date>
<date date-type="accepted"><day>12</day><month>08</month><year>2024</year></date>
</history>
<permissions>
<copyright-statement>&#x00A9; 2024. The Authors</copyright-statement>
<copyright-year>2024</copyright-year>
<license license-type="open-access" xlink:href="https://creativecommons.org/licenses/by/4.0/">
<license-p>Licensee: AOSIS. This work is licensed under the Creative Commons Attribution License.</license-p>
</license>
</permissions>
<abstract>
<sec id="st1">
<title>Background</title>
<p>Iron deficiency is a common disorder, especially in developing countries. Accurately assessing iron status remains challenging, particularly for patients with chronic diseases such as HIV and chronic kidney disease, prevalent in South Africa.</p>
</sec>
<sec id="st2">
<title>Objective</title>
<p>This study aimed to determine how ferritin cut-offs affect iron status classification in adult patients treated at a tertiary hospital in South Africa. Additionally, it assessed the frequency of these conditions and the impact of age and gender on iron status.</p>
</sec>
<sec id="st3">
<title>Methods</title>
<p>This retrospective study analysed iron profiles in adult patients from 01 October 2020 to 31 March 2021. Iron status was categorised into five groups: iron deficiency anaemia (IDA), anaemia of chronic disease, IDA with anaemia of chronic disease, iron deficiency without anaemia, and iron replete based on haemoglobin, transferrin saturation, and ferritin levels. The impact of using two different ferritin cut-off values (15 &#x00B5;g/L and 30 &#x00B5;g/L) was investigated.</p>
</sec>
<sec id="st4">
<title>Results</title>
<p>The study included 3221 complete iron profiles. There was a predominance of female patients (2.2:1 ratio). Anaemia of chronic disease was the most prevalent iron disorder (39&#x0025;), regardless of ferritin cut-off. Using a higher ferritin cut-off of 30 &#x00B5;g/L significantly increased the detection rates of both IDA and iron deficiency without anaemia (<italic>p</italic> &#x003C; 0.001).</p>
</sec>
<sec id="st5">
<title>Conclusion</title>
<p>This study suggests that a higher ferritin threshold (30 &#x00B5;g/L) might improve diagnosis of iron disorders in settings with high inflammatory diseases. Further studies are needed to refine thresholds. Local guidelines should be adjusted to consider higher ferritin cut-offs, and longitudinal studies are recommended to evaluate long-term outcomes.</p>
</sec>
<sec id="st6">
<title>What this study adds</title>
<p>This study confirms the use of higher ferritin cut-offs for enhanced detection of iron deficiency states. The findings also emphasise the ongoing need for establishing simple, standardised, and accurate methods for iron status classification.</p>
</sec>
</abstract>
<kwd-group>
<kwd>Iron</kwd>
<kwd>iron status</kwd>
<kwd>ferritin</kwd>
<kwd>ferritin diagnostic threshold</kwd>
<kwd>iron deficiency</kwd>
<kwd>iron deficiency anaemia</kwd>
<kwd>anaemia of chronic disease</kwd>
</kwd-group>
<funding-group>
<funding-statement><bold>Sources of support</bold> This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.</funding-statement>
</funding-group>
</article-meta>
</front>
<body>
<sec id="s0001">
<title>Introduction</title>
<p>Iron deficiency is the most common nutritional disorder worldwide, and more prevalent in developing countries.<sup><xref ref-type="bibr" rid="CIT0001">1</xref>,<xref ref-type="bibr" rid="CIT0002">2</xref>,<xref ref-type="bibr" rid="CIT0003">3</xref></sup> Pregnant women, young children, and women of reproductive age are at higher risk.<sup><xref ref-type="bibr" rid="CIT0004">4</xref>,<xref ref-type="bibr" rid="CIT0005">5</xref></sup> Iron deficiency refers to decreased or depleted iron stores, which precedes the development of ineffective haematopoiesis resulting in iron deficiency anaemia (IDA).<sup><xref ref-type="bibr" rid="CIT0004">4</xref></sup> Iron deficiency can also manifest as part of complex pathological processes seen in chronic diseases, where it is called functional iron deficiency. Without treatment, iron deficiency can cause significant morbidity and mortality, making an accurate and timely diagnosis important.<sup><xref ref-type="bibr" rid="CIT0006">6</xref></sup></p>
<p>Accurate determination of iron status is often difficult and complex. The gold standard for diagnosis of iron deficiency is a bone marrow biopsy demonstrating the absence of stainable iron.<sup><xref ref-type="bibr" rid="CIT0002">2</xref>,<xref ref-type="bibr" rid="CIT0007">7</xref></sup> However, since this approach is costly and invasive, biochemical tests are more frequently utilised for diagnosis. A working group from the World Health Organization has recommended five biomarkers for the work-up of iron deficiency, namely haemoglobin, mean cell volume (MCV), zinc protoporphyrin, soluble transferrin receptor, and serum ferritin.<sup><xref ref-type="bibr" rid="CIT0008">8</xref></sup></p>
<p>Although haemoglobin concentration, MCV and ferritin are readily available in South Africa, zinc protoporphyrin and soluble transferrin receptor are not commonly measured. Specifically, in our setting at Chris Hani Baragwanath Academic Hospital, the markers available to assess iron status are haemoglobin concentration, MCV, serum iron, transferrin with transferrin saturation (TSAT), and serum ferritin. The diagnosis of the various pathological processes rests on the integrated interpretation of these tests.<sup><xref ref-type="bibr" rid="CIT0002">2</xref>,<xref ref-type="bibr" rid="CIT0007">7</xref>,<xref ref-type="bibr" rid="CIT0009">9</xref>,<xref ref-type="bibr" rid="CIT0010">10</xref></sup></p>
<p>Interpretation of these biochemical parameters with a subsequent diagnosis is not always simple, as the effect of inflammation is a confounding factor that needs to be considered. Chronic inflammation is associated with production of cytokines, which blunts the erythropoietin response. This results in a disruption of normal iron homeostasis and causes increased uptake of iron, with subsequent retention thereof in the reticuloendothelial system. The outcome is iron-restricted erythropoiesis, followed by the development of anaemia of chronic disease (ACD) with an elevated ferritin, low haemoglobin, and decreased TSAT.<sup><xref ref-type="bibr" rid="CIT0002">2</xref>,<xref ref-type="bibr" rid="CIT0003">3</xref>,<xref ref-type="bibr" rid="CIT0011">11</xref></sup> Furthermore, inflammation induces pro-inflammatory cytokines such as interleukin 6, which increases hepcidin production. Hepcidin acts as a regulator of iron homeostasis by mediating the internalisation of iron and degradation of ferroportin, the iron exporter. This results in decreased iron release from enterocytes and macrophages and, subsequently, to lower plasma iron levels than required to meet the body&#x2019;s needs. In addition, serum ferritin is significantly elevated during inflammation.<sup><xref ref-type="bibr" rid="CIT0012">12</xref>,<xref ref-type="bibr" rid="CIT0013">13</xref>,<xref ref-type="bibr" rid="CIT0014">14</xref>,<xref ref-type="bibr" rid="CIT0015">15</xref></sup></p>
<p>In the South African setting, a national health and demographic survey found that as much as a third of South African women of reproductive age are anaemic based on point-of-care haemoglobin measurement, although iron status was not assessed.<sup><xref ref-type="bibr" rid="CIT0006">6</xref></sup> A meta-analysis found that the prevalence of anaemia in women of reproductive age ranged from 22.0&#x0025; to 44.0&#x0025;, compared to iron deficiency which ranged from 7.7&#x0025; to 19.0&#x0025;, and IDA, specifically, which ranged from 9.7&#x0025; to 10.5&#x0025;, utilising a ferritin cut-off of &#x003C; 15 &#x00B5;g/L.<sup><xref ref-type="bibr" rid="CIT0016">16</xref></sup> Furthermore, it was found that IDA in pregnant patients resulted in an increased risk for premature birth, thus emphasising the importance of a correct and timely diagnosis.<sup><xref ref-type="bibr" rid="CIT0017">17</xref></sup> In the general South African population, 12.6&#x0025; of participants had anaemia, compared to the high prevalence of 39.8&#x0025; for iron deficiency, in this case specifically using the higher ferritin cut-off of &#x003C; 30 &#x00B5;g/L for improved sensitivity.<sup><xref ref-type="bibr" rid="CIT0004">4</xref></sup> The distribution of anaemia between the sexes indicated a much higher prevalence of 18.3&#x0025; in women compared to 2.9&#x0025; in men.<sup><xref ref-type="bibr" rid="CIT0004">4</xref></sup> Despite these assessments, the iron status of hospital-attending patients in the South African context has not been studied.</p>
<p>A 2016 study in Cape Town, South Africa, found ACD to be the predominant cause of anaemia in patients with HIV and tuberculosis, seen in over 95&#x0025; of their study population, also utilising the higher ferritin cut-off of &#x003C; 30 &#x00B5;g/L.<sup><xref ref-type="bibr" rid="CIT0018">18</xref></sup> Importantly, this study was more extensive in the usage of other biochemistry of iron status such as soluble transferrin receptor, as well as infective markers such as C-reactive protein, which likely improved the sensitivity. The high prevalence of chronic inflammatory conditions like HIV, as well as chronic kidney disease, together with the presence of inflammation in hospitalised patients, increases the prevalence of ACD.<sup><xref ref-type="bibr" rid="CIT0019">19</xref>,<xref ref-type="bibr" rid="CIT0020">20</xref></sup> This raises the question on the iron status of an inpatient population, and on the diagnostic impact of coexisting ACD and iron deficiency.</p>
<p>Evidently, the cut-off used for ferritin for the diagnosis of iron deficiency is not harmonised, with most studies suggesting using &#x003C; 30 &#x00B5;g/L, and others, &#x003C; 15 &#x00B5;g/L.<sup><xref ref-type="bibr" rid="CIT0002">2</xref>,<xref ref-type="bibr" rid="CIT0010">10</xref></sup> Clinicians at our site frequently rely on a ferritin cut-off value of &#x003C; 15 &#x00B5;g/L for the diagnosis of IDA, based on the World Health Organization guidelines,<sup><xref ref-type="bibr" rid="CIT0008">8</xref></sup> and this is applied universally, regardless of sex. The question remains whether this international guideline is applicable to the South African population and, more specifically, to a hospital-attending cohort. To our knowledge, there are no local studies that have investigated the effect on the classification of iron status using these different cut-offs to date.</p>
<p>Given the aforementioned context, there is a need to investigate the diagnostic utility of these available biochemical parameters for iron status evaluation in the South African milieu. Thus, the aims of this retrospective study were to analyse and categorise the iron profiles in a South African adult population treated at a tertiary hospital setting, and to evaluate how various ferritin thresholds influence the identification of iron deficiency.</p>
</sec>
<sec id="s0002">
<title>Methods</title>
<sec id="s20003">
<title>Ethical considerations</title>
<p>Ethical approval to conduct the study was obtained from the Human Research Ethics Committee of the University of the Witwatersrand (reference no.: M210512). Patients&#x2019; informed consent was not required due to the retrospective nature of the study. Patient data were de-identified to maintain patient privacy and anonymity. Data were securely stored on a password-protected Excel spreadsheet (Office 2016, Microsoft, Redmond, Washington, United States), accessible only to the investigators of the study. The research was conducted adhering to the ethical principles of the Declaration of Helsinki (2013).</p>
</sec>
<sec id="s20004">
<title>Study design and setting</title>
<p>This study employed a retrospective cross-sectional design analysing laboratory data from patients attending Chris Hani Baragwanath Academic Hospital in Soweto, South Africa. Pathology services are provided primarily by the National Health Laboratory Services, which serves 80&#x0025; of the population in the public sector health system.</p>
</sec>
<sec id="s20005">
<title>Data collection</title>
<p>Data for the period from 01 October 2020 to 31 March 2021 were obtained from the National Health Laboratory Services Corporate Data Warehouse after mining from the Laboratory Information System (TrackCare Lab, InterSystems Corporation, Cambridge, Massachusetts, United States). The study included results from adult patients (&#x003E; 18 years) attending Chris Hani Baragwanath Academic Hospital who had the following parameters: sex, haemoglobin, MCV, iron, transferrin, TSAT, and ferritin. Patient results with missing data for age, sex, haemoglobin, ferritin, or TSAT were excluded.</p>
</sec>
<sec id="s20006">
<title>Laboratory analysis</title>
<p>The iron profile analyses (serum iron, transferrin and ferritin) were conducted on the Roche <bold>cobas</bold><sup>&#x00AE;</sup> 8000 automated chemistry analyser (Roche Diagnostics, Mannheim, Germany). Iron was measured using the FerroZine colourimetric method without deproteinisation. Iron reacts with FerroZine to form a coloured complex which is measured photometrically. Transferrin and ferritin were measured using immunoturbidimetric methods utilising anti-human transferrin and anti-human ferritin antibodies, respectively. Transferrin saturation was calculated according to the formula: &#x0025; saturation = (iron / [transferrin x 25.6]) &#x00D7; 100&#x0025;.</p>
<p>The haematological parameters (haemoglobin, MCV) were measured using the Sysmex XN10/XN20 series automated haematology analyser (Sysmex Corporation, Kobe, Japan). Haemoglobin was measured spectrophotometrically using a non-cyanide sodium lauryl sulphate. Mean cell volume was calculated as follows: haematocrit &#x0025; &#x00D7; 10 &#x00F7; red blood cell count. The National Health Laboratory Services laboratory at Chris Hani Baragwanath Academic Hospital maintains accreditation status with the relevant governing bodies and participates in external quality assurance schemes for ongoing independent quality assessment.</p>
</sec>
<sec id="s20007">
<title>Data processing</title>
<p>Data included in the study were classified into IDA, ACD, iron deficiency with ACD (iron deficiency + ACD), iron deficiency without anaemia (IDWA), and iron replete using pre-defined criteria and two different cut-offs for ferritin (<xref ref-type="table" rid="T0001">Table 1</xref>). Haemoglobin and ferritin levels were used as hard criteria for classification, while TSAT was used primarily as an adjunct. Results that did not fall into these categories using the criteria were classified as indeterminate.</p>
<table-wrap id="T0001">
<label>TABLE 1</label>
<caption><p>Criteria for iron status classification, Johannesburg, South Africa, 01 October 2020 to 31 March 2021.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="left">Parameter</th>
<th valign="top" align="left">Sex</th>
<th valign="top" align="center">Iron deficiency anaemia</th>
<th valign="top" align="center">Anaemia of chronic disease</th>
<th valign="top" align="center">Iron deficiency + anaemia of chronic disease</th>
<th valign="top" align="center">Iron deficiency without anaemia</th>
<th valign="top" align="center">Iron replete</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left" rowspan="2">Haemoglobin (g/dL)<xref ref-type="table-fn" rid="TFN0001">&#x2020;</xref>:</td>
<td align="left">Male</td>
<td align="center">&#x003C; 13</td>
<td align="center">&#x003C; 13</td>
<td align="center">&#x003C; 13</td>
<td align="center">&#x2265; 13</td>
<td align="center">&#x2265; 13</td>
</tr>
<tr>
<td align="left">Female</td>
<td align="center">&#x003C; 12</td>
<td align="center">&#x003C; 12</td>
<td align="center">&#x003C; 12</td>
<td align="center">&#x2265; 12</td>
<td align="center">&#x2265; 12</td>
</tr>
<tr>
<td align="left" rowspan="2">Ferritin (&#x03BC;g/L):</td>
<td align="left">Female</td>
<td align="center">&#x003C; 15 or &#x003C;30</td>
<td align="center">&#x2265; 100<xref ref-type="table-fn" rid="TFN0002">&#x2021;</xref></td>
<td align="center">15&#x2013;100 or 30&#x2013;100</td>
<td align="center">&#x003C; 15 or &#x003C; 30</td>
<td align="center">15&#x2013;150</td>
</tr>
<tr>
<td align="left">Male</td>
<td align="center">&#x003C; 15 or &#x003C;30</td>
<td align="center">&#x2265; 100</td>
<td align="center">15&#x2013;100 or 30&#x2013;100</td>
<td align="center">&#x003C; 15 or &#x003C; 30</td>
<td align="center">30&#x2013;400</td>
</tr>
<tr>
<td align="left">TSAT (&#x0025;)</td>
<td align="left">-</td>
<td align="center">&#x2264; 16<xref ref-type="table-fn" rid="TFN0003">&#x00A7;</xref></td>
<td align="center">&#x2264; 16 or 17&#x2013;45</td>
<td align="center">&#x2264; 16 or 17&#x2013;45</td>
<td align="center">&#x2264; 16</td>
<td align="center">17&#x2013;45</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn><p>TSAT, transferrin saturation.</p></fn>
<fn id="TFN0001"><label>&#x2020;</label><p>, The values for haemoglobin in the assessment of anaemia are from the World Health Organization.</p></fn>
<fn id="TFN0002"><label>&#x2021;</label><p>, The values for ferritin in the assessment of anaemia of chronic disease are from Weiss and Goodnough.<sup><xref ref-type="bibr" rid="CIT0011">11</xref></sup></p></fn>
<fn id="TFN0003"><label>&#x00A7;</label><p>, The values for transferrin saturation for the assessment of iron deficiency anaemia is from Beutler and Waalen.<sup><xref ref-type="bibr" rid="CIT0009">9</xref></sup></p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s20008">
<title>Statistical analysis</title>
<p>Statistical analyses were performed using SPSS software 29.0.0.0 (IBM Corp. Armonk, New York, United States). All the data were non-parametric when the normality was evaluated using the Shapiro-Wilk test. Categorical data were presented using frequencies and percentages. Non-parametric data were presented as median (interquartile range). The Chi-squared test was used to compare categorical variables, while the Mann-Whitney <italic>U</italic> test was used to compare the medians of two groups of continuous data. For continuous data with three or more groups, the Kruskal-Wallis test with Bonferroni correction was employed to assess the differences in medians among the groups. A <italic>p</italic>-value of &#x003C; 0.05 was considered statistically significant.</p>
</sec>
</sec>
<sec id="s0009">
<title>Results</title>
<sec id="s20010">
<title>Demographics</title>
<p>Following the removal of duplicate episodes (<italic>n</italic> = 2249), results showing an age below 18 years (<italic>n</italic> = 248), results with missing demographic data (<italic>n</italic> = 48), and incomplete profiles (<italic>n</italic> = 3891), 3221 episodes from a total of 9657 episodes were included in the analysis (<xref ref-type="table" rid="T0002">Table 2</xref>). There was a predominance of women with a ratio of 2.2:1. Women were also younger overall, with a median age of 42 years, compared to 50 years for men. This difference was statistically significant in the IDA (<italic>p</italic> &#x003C; 0.001) and iron deficiency + ACD (<italic>p</italic> &#x003C; 0.001) groups, but not for the ACD (<italic>p</italic> = 0.430), IDWA (<italic>p</italic> = 0.260), iron replete (<italic>p</italic> = 0.212) and indeterminate (<italic>p</italic> = 0.345) groups (<xref ref-type="fig" rid="F0001">Figure 1</xref>). The majority of requests originated from the inpatient population (62&#x0025;), primarily from the medical (82&#x0025;) and surgical departments (17&#x0025;) for male patients, and from the medical (68&#x0025;) and maternity (23&#x0025;) departments for female patients (Online Supplementary Figure 1).</p>
<fig id="F0001">
<label>FIGURE 1</label>
<caption><p>Age differences between male and female patients in different iron status groups defined using a ferritin 30 &#x00B5;g/L, Johannesburg, South Africa, 01 October 2020 to 31 March 2021.</p></caption>
<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="AJLM-13-2509-g001.tif"/>
</fig>
<table-wrap id="T0002">
<label>TABLE 2</label>
<caption><p>Iron status of patients in Johannesburg, South Africa, 01 October 2020 to 31 March 2021.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="left" rowspan="2">Parameter</th>
<th valign="top" align="center" colspan="5">Total<hr/></th>
<th valign="top" align="center" colspan="5">Women<hr/></th>
<th valign="top" align="center" colspan="5">Men<hr/></th>
</tr>
<tr>
<th valign="top" align="center"><italic>n</italic></th>
<th valign="top" align="center">&#x0025;</th>
<th valign="top" align="center">Median</th>
<th valign="top" align="center">IQR</th>
<th valign="top" align="center"><italic>p</italic></th>
<th valign="top" align="center"><italic>n</italic></th>
<th valign="top" align="center">&#x0025;</th>
<th valign="top" align="center">Median</th>
<th valign="top" align="center">IQR</th>
<th valign="top" align="center"><italic>p</italic></th>
<th valign="top" align="center"><italic>n</italic></th>
<th valign="top" align="center">&#x0025;</th>
<th valign="top" align="center">Median</th>
<th valign="top" align="center">IQR</th>
<th valign="top" align="center"><italic>p</italic></th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">Profiles</td>
<td align="center">3221</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="left"></td>
<td align="center">-</td>
<td align="center">2201</td>
<td align="center">68</td>
<td align="center">-</td>
<td align="left"></td>
<td align="center">-</td>
<td align="center">1020</td>
<td align="center">32</td>
<td align="center">-</td>
<td align="left"></td>
<td align="center">&#x003C; 0.001<xref ref-type="table-fn" rid="TFN0004">&#x002A;</xref></td>
</tr>
<tr>
<td align="left">Age (years)</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">45</td>
<td align="center">33&#x2013;60</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">42</td>
<td align="center">31&#x2013;59</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">50</td>
<td align="center">38&#x2013;61</td>
<td align="center">&#x003C; 0.001<xref ref-type="table-fn" rid="TFN0005">&#x002A;&#x002A;</xref></td>
</tr>
<tr>
<td align="left"><bold>Location</bold></td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">&#x003C; 0.001<xref ref-type="table-fn" rid="TFN0006">&#x002A;&#x002A;&#x002A;</xref></td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">&#x003C; 0.001<xref ref-type="table-fn" rid="TFN0006">&#x002A;&#x002A;&#x002A;</xref></td>
</tr>
<tr>
<td align="left">&#x2003;Inpatient</td>
<td align="center">1982</td>
<td align="center">62</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">1231</td>
<td align="center">56</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">751</td>
<td align="center">74</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">&#x2003;Outpatient</td>
<td align="center">1239</td>
<td align="center">38</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">970</td>
<td align="center">44</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">269</td>
<td align="center">26</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left" colspan="16"><bold>Diagnosis (ferritin &#x003C; 15 &#x00B5;g/L)</bold></td>
</tr>
<tr>
<td align="left">&#x2003;Iron deficiency anaemia</td>
<td align="center">458</td>
<td align="center">14</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">402</td>
<td align="center">18</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">56</td>
<td align="center">6</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">&#x2003;Anaemia of chronic disease</td>
<td align="center">1285</td>
<td align="center">39</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">712</td>
<td align="center">32</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">573</td>
<td align="center">56</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">&#x2003;Iron deficiency + anaemia of chronic disease</td>
<td align="center">731</td>
<td align="center">23</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">584</td>
<td align="center">27</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">147</td>
<td align="center">14</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">&#x2003;Iron deficiency without anaemia</td>
<td align="center">14</td>
<td align="center">1</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">14</td>
<td align="center">1</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">0</td>
<td align="center">0</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">&#x2003;Iron replete</td>
<td align="center">315</td>
<td align="center">10</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">178</td>
<td align="center">8</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">137</td>
<td align="center">13</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">&#x2003;Indeterminate</td>
<td align="center">418</td>
<td align="center">13</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">311</td>
<td align="center">14</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">107</td>
<td align="center">11</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left" colspan="16"><bold>Diagnosis (ferritin &#x003C; 30 &#x00B5;g/L)</bold></td>
</tr>
<tr>
<td align="left">&#x2003;Iron deficiency anaemia</td>
<td align="center">758</td>
<td align="center">24</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">&#x003C; 0.001<xref ref-type="table-fn" rid="TFN0007">&#x002A;&#x002A;&#x002A;&#x002A;</xref></td>
<td align="center">645</td>
<td align="center">29</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">&#x003C; 0.001<xref ref-type="table-fn" rid="TFN0007">&#x002A;&#x002A;&#x002A;&#x002A;</xref></td>
<td align="center">113</td>
<td align="center">11</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">&#x003C; 0.001<xref ref-type="table-fn" rid="TFN0007">&#x002A;&#x002A;&#x002A;&#x002A;</xref></td>
</tr>
<tr>
<td align="left">&#x2003;Anaemia of chronic disease</td>
<td align="center">1285</td>
<td align="center">39</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">1.000<xref ref-type="table-fn" rid="TFN0007">&#x002A;&#x002A;&#x002A;&#x002A;</xref></td>
<td align="center">712</td>
<td align="center">32</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">1.000<xref ref-type="table-fn" rid="TFN0007">&#x002A;&#x002A;&#x002A;&#x002A;</xref></td>
<td align="center">573</td>
<td align="center">56</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">1.000<xref ref-type="table-fn" rid="TFN0007">&#x002A;&#x002A;&#x002A;&#x002A;</xref></td>
</tr>
<tr>
<td align="left">&#x2003;Iron deficiency + anaemia of chronic disease</td>
<td align="center">431</td>
<td align="center">13</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">&#x003C; 0.001<xref ref-type="table-fn" rid="TFN0007">&#x002A;&#x002A;&#x002A;&#x002A;</xref></td>
<td align="center">341</td>
<td align="center">16</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">&#x003C; 0.001<xref ref-type="table-fn" rid="TFN0007">&#x002A;&#x002A;&#x002A;&#x002A;</xref></td>
<td align="center">90</td>
<td align="center">9</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">&#x003C; 0.001<xref ref-type="table-fn" rid="TFN0007">&#x002A;&#x002A;&#x002A;&#x002A;</xref></td>
</tr>
<tr>
<td align="left">&#x2003;Iron deficiency without anaemia</td>
<td align="center">79</td>
<td align="center">3</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">&#x003C; 0.001<xref ref-type="table-fn" rid="TFN0007">&#x002A;&#x002A;&#x002A;&#x002A;</xref></td>
<td align="center">70</td>
<td align="center">3</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">&#x003C; 0.001<xref ref-type="table-fn" rid="TFN0007">&#x002A;&#x002A;&#x002A;&#x002A;</xref></td>
<td align="center">9</td>
<td align="center">1</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">&#x003C; 0.001<xref ref-type="table-fn" rid="TFN0007">&#x002A;&#x002A;&#x002A;&#x002A;</xref></td>
</tr>
<tr>
<td align="left">&#x2003;Iron replete</td>
<td align="center">304</td>
<td align="center">10</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">0.672<xref ref-type="table-fn" rid="TFN0007">&#x002A;&#x002A;&#x002A;&#x002A;</xref></td>
<td align="center">167</td>
<td align="center">8</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">0.499<xref ref-type="table-fn" rid="TFN0007">&#x002A;&#x002A;&#x002A;&#x002A;</xref></td>
<td align="center">137</td>
<td align="center">13</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">1.000<xref ref-type="table-fn" rid="TFN0007">&#x002A;&#x002A;&#x002A;&#x002A;</xref></td>
</tr>
<tr>
<td align="left">&#x2003;Indeterminate</td>
<td align="center">364</td>
<td align="center">11</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">0.062<xref ref-type="table-fn" rid="TFN0007">&#x002A;&#x002A;&#x002A;&#x002A;</xref></td>
<td align="center">266</td>
<td align="center">12</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">0.052<xref ref-type="table-fn" rid="TFN0007">&#x002A;&#x002A;&#x002A;&#x002A;</xref></td>
<td align="center">98</td>
<td align="center">10</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">0.461<xref ref-type="table-fn" rid="TFN0007">&#x002A;&#x002A;&#x002A;&#x002A;</xref></td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn><p>IQR, interquartile range.</p></fn>
<fn id="TFN0004"><label>&#x002A;</label><p>, <italic>p</italic>-value: Women vs men, Chi-squared test.</p></fn>
<fn id="TFN0005"><label>&#x002A;&#x002A;</label><p>, <italic>p</italic>-value: Women vs men, Mann-Whitney <italic>U</italic> test.</p></fn>
<fn id="TFN0006"><label>&#x002A;&#x002A;&#x002A;</label><p>, <italic>p</italic>-value: Inpatients vs outpatients, Chi-squared test.</p></fn>
<fn id="TFN0007"><label>&#x002A;&#x002A;&#x002A;&#x002A;</label><p>, <italic>p</italic>-values: Ferritin 30 &#x00B5;g/L vs ferritin 15 &#x00B5;g/L, Chi-squared test.</p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s20011">
<title>Frequencies of iron disorders based on ferritin cut-off</title>
<p>Irrespective of the ferritin cut-off used for iron status classification, ACD was the most prevalent iron disorder (overall = 39&#x0025;) in this study. In contrast, the frequency of patients with IDA, iron deficiency + ACD, IDWA and iron replete varied depending on the ferritin cut-off employed for the classification (<xref ref-type="table" rid="T0002">Table 2</xref>). The use of the higher ferritin cut-off of 30 &#x00B5;g/L results in a statistically significant increase in the frequency of IDA (<italic>p</italic> &#x003C; 0.001) and IDWA (<italic>p</italic> &#x003C; 0.001). Utilising this higher ferritin cut-off in combination with a TSAT of &#x003C;16&#x0025; improved the differentiation of IDWA from the indeterminate group, reducing the frequency of the latter from 11&#x0025; to 5&#x0025; (Online Supplementary Figure 2). The lower ferritin cut-off also precludes the identification of IDWA in the male group. The iron deficient states, IDA, IDWA, and iron deficiency + ACD were more frequent in female patients. Less than 15&#x0025; of the study group could not be classified into any iron status category as per the criteria in <xref ref-type="table" rid="T0001">Table 1</xref> and were therefore classified as indeterminate.</p>
</sec>
<sec id="s20012">
<title>Distributions of parameters across different iron status groups</title>
<p>The pattern of distribution of parameters in the IDA group remained consistent across the two different ferritin cut-offs employed (<xref ref-type="table" rid="T0003">Table 3</xref>). Lower levels of iron, TSAT and MCV were found in the IDA and iron deficiency + ACD groups compared to other groups. The highest ferritin levels were present in the ACD (median = 554 &#x00B5;g/L [258&#x2013;1156]) and indeterminate (median = 170 &#x00B5;g/L [58&#x2013;361]) groups. The iron replete and indeterminate groups were statistically similar in the distribution of parameters, except for transferrin and ferritin (<xref ref-type="table" rid="T0003">Table 3</xref>).</p>
<table-wrap id="T0003">
<label>TABLE 3</label>
<caption><p>Distribution of parameters according to diagnosis using two different ferritin cut-offs, Johannesburg, South Africa, 01 October 2020 to 31 March 2021.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="left" rowspan="3">Parameter</th>
<th valign="top" align="center" colspan="12">Diagnosis<hr/></th>
<th valign="top" align="center" rowspan="3"><italic>p</italic><xref ref-type="table-fn" rid="TFN0009">&#x002A;&#x002A;</xref></th>
</tr>
<tr>
<th valign="top" align="center" colspan="2">Iron deficiency anaemia<hr/></th>
<th valign="top" align="center" colspan="2">Anaemia of chronic disease<hr/></th>
<th valign="top" align="center" colspan="2">Iron deficiency + anaemia of chronic disease<hr/></th>
<th valign="top" align="center" colspan="2">Iron deficiency without anaemia<hr/></th>
<th valign="top" align="center" colspan="2">Iron replete<hr/></th>
<th valign="top" align="center" colspan="2">Indeterminate<hr/></th>
</tr>
<tr>
<th valign="top" align="center">Median</th>
<th valign="top" align="center">IQR</th>
<th valign="top" align="center">Median</th>
<th valign="top" align="center">IQR</th>
<th valign="top" align="center">Median</th>
<th valign="top" align="center">IQR</th>
<th valign="top" align="center">Median</th>
<th valign="top" align="center">IQR</th>
<th valign="top" align="center">Median</th>
<th valign="top" align="center">IQR</th>
<th valign="top" align="center">Median</th>
<th valign="top" align="center">IQR</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left" colspan="14"><bold>Ferritin &#x003C; 15 &#x00B5;g/L</bold></td>
</tr>
<tr>
<td align="left">&#x2003;Ferritin (&#x00B5;g/L)</td>
<td align="center">9<xref ref-type="table-fn" rid="TFN0008">&#x002A;</xref></td>
<td align="center">6&#x2013;12<xref ref-type="table-fn" rid="TFN0008">&#x002A;</xref></td>
<td align="center">554<xref ref-type="table-fn" rid="TFN0008">&#x002A;</xref></td>
<td align="center">258&#x2013;1156<xref ref-type="table-fn" rid="TFN0008">&#x002A;</xref></td>
<td align="center">36<xref ref-type="table-fn" rid="TFN0008">&#x002A;</xref></td>
<td align="center">21&#x2013;58<xref ref-type="table-fn" rid="TFN0008">&#x002A;</xref></td>
<td align="center">12<xref ref-type="table-fn" rid="TFN0008">&#x002A;</xref></td>
<td align="center">10&#x2013;13<xref ref-type="table-fn" rid="TFN0008">&#x002A;</xref></td>
<td align="center">95</td>
<td align="center">59&#x2013;142</td>
<td align="center">170<xref ref-type="table-fn" rid="TFN0008">&#x002A;</xref></td>
<td align="center">58&#x2013;361<xref ref-type="table-fn" rid="TFN0008">&#x002A;</xref></td>
<td align="center">&#x003C; 0.001</td>
</tr>
<tr>
<td align="left">&#x2003;TSAT (&#x0025;)</td>
<td align="center">4<xref ref-type="table-fn" rid="TFN0008">&#x002A;</xref></td>
<td align="center">3&#x2013;6<xref ref-type="table-fn" rid="TFN0008">&#x002A;</xref></td>
<td align="center">21</td>
<td align="center">13&#x2013;32</td>
<td align="center">9<xref ref-type="table-fn" rid="TFN0008">&#x002A;</xref></td>
<td align="center">6&#x2013;15<xref ref-type="table-fn" rid="TFN0008">&#x002A;</xref></td>
<td align="center">12<xref ref-type="table-fn" rid="TFN0008">&#x002A;</xref></td>
<td align="center">7&#x2013;15<xref ref-type="table-fn" rid="TFN0008">&#x002A;</xref></td>
<td align="center">24</td>
<td align="center">19&#x2013;30</td>
<td align="center">15</td>
<td align="center">12&#x2013;23</td>
<td align="center">&#x003C; 0.001</td>
</tr>
<tr>
<td align="left">&#x2003;Transferrin (g/L)</td>
<td align="center">3.71<xref ref-type="table-fn" rid="TFN0008">&#x002A;</xref></td>
<td align="center">3.26&#x2013;4.19<xref ref-type="table-fn" rid="TFN0008">&#x002A;</xref></td>
<td align="center">1.65<xref ref-type="table-fn" rid="TFN0008">&#x002A;</xref></td>
<td align="center">1.29&#x2013;2.01<xref ref-type="table-fn" rid="TFN0008">&#x002A;</xref></td>
<td align="center">2.95<xref ref-type="table-fn" rid="TFN0008">&#x002A;</xref></td>
<td align="center">2.40&#x2013;3.57<xref ref-type="table-fn" rid="TFN0008">&#x002A;</xref></td>
<td align="center">3,22</td>
<td align="center">2.97&#x2013;3.53</td>
<td align="center">2.61</td>
<td align="center">2.31&#x2013;2.91</td>
<td align="center">2.58<xref ref-type="table-fn" rid="TFN0008">&#x002A;</xref></td>
<td align="center">2.15&#x2013;3.03<xref ref-type="table-fn" rid="TFN0008">&#x002A;</xref></td>
<td align="center">&#x003C; 0.001</td>
</tr>
<tr>
<td align="left">&#x2003;Iron (&#x00B5;mol/L)</td>
<td align="center">3.7<xref ref-type="table-fn" rid="TFN0008">&#x002A;</xref></td>
<td align="center">2.8&#x2013;5.2<xref ref-type="table-fn" rid="TFN0008">&#x002A;</xref></td>
<td align="center">8.2<xref ref-type="table-fn" rid="TFN0008">&#x002A;</xref></td>
<td align="center">4.9&#x2013;14<xref ref-type="table-fn" rid="TFN0008">&#x002A;</xref></td>
<td align="center">6.4<xref ref-type="table-fn" rid="TFN0008">&#x002A;</xref></td>
<td align="center">4.3&#x2013;10.5<xref ref-type="table-fn" rid="TFN0008">&#x002A;</xref></td>
<td align="center">8.7<xref ref-type="table-fn" rid="TFN0008">&#x002A;</xref></td>
<td align="center">6.4&#x2013;13<xref ref-type="table-fn" rid="TFN0008">&#x002A;</xref></td>
<td align="center">12.1</td>
<td align="center">16.0&#x2013;19.9</td>
<td align="center">8.0</td>
<td align="center">10.4&#x2013;13.5</td>
<td align="center">&#x003C; 0.001</td>
</tr>
<tr>
<td align="left">&#x2003;Haemoglobin (g/dL)</td>
<td align="center">7.2<xref ref-type="table-fn" rid="TFN0008">&#x002A;</xref></td>
<td align="center">5.5&#x2013;8.5<xref ref-type="table-fn" rid="TFN0008">&#x002A;</xref></td>
<td align="center">8.6<xref ref-type="table-fn" rid="TFN0008">&#x002A;</xref></td>
<td align="center">6.9&#x2013;10.3<xref ref-type="table-fn" rid="TFN0008">&#x002A;</xref></td>
<td align="center">9.6<xref ref-type="table-fn" rid="TFN0008">&#x002A;</xref></td>
<td align="center">7.7&#x2013;10.9<xref ref-type="table-fn" rid="TFN0008">&#x002A;</xref></td>
<td align="center">12.6</td>
<td align="center">12.1&#x2013;12.9</td>
<td align="center">14.0</td>
<td align="center">13.2&#x2013;15.1</td>
<td align="center">13.6</td>
<td align="center">12.8&#x2013;14.4</td>
<td align="center">&#x003C; 0.001</td>
</tr>
<tr>
<td align="left">&#x2003;MCV (fL)</td>
<td align="center">72.8<xref ref-type="table-fn" rid="TFN0008">&#x002A;</xref></td>
<td align="center">67.1&#x2013;79.1<xref ref-type="table-fn" rid="TFN0008">&#x002A;</xref></td>
<td align="center">91.6<xref ref-type="table-fn" rid="TFN0008">&#x002A;</xref></td>
<td align="center">84.9&#x2013;97.7<xref ref-type="table-fn" rid="TFN0008">&#x002A;</xref></td>
<td align="center">85.3<xref ref-type="table-fn" rid="TFN0008">&#x002A;</xref></td>
<td align="center">77.6&#x2013;92.5<xref ref-type="table-fn" rid="TFN0008">&#x002A;</xref></td>
<td align="center">86.4</td>
<td align="center">79.5&#x2013;92.6</td>
<td align="center">94.1</td>
<td align="center">89.5&#x2013;98.2</td>
<td align="center">92.8</td>
<td align="center">87.3&#x2013;98.2</td>
<td align="center">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" colspan="14"><bold>Ferritin &#x003C; 30 &#x00B5;g/L</bold></td>
</tr>
<tr>
<td align="left">&#x2003;Ferritin (&#x00B5;g/L)</td>
<td align="center">12<xref ref-type="table-fn" rid="TFN0008">&#x002A;</xref></td>
<td align="center">8&#x2013;18<xref ref-type="table-fn" rid="TFN0008">&#x002A;</xref></td>
<td align="center">554<xref ref-type="table-fn" rid="TFN0008">&#x002A;</xref></td>
<td align="center">258&#x2013;1156<xref ref-type="table-fn" rid="TFN0008">&#x002A;</xref></td>
<td align="center">52<xref ref-type="table-fn" rid="TFN0008">&#x002A;</xref></td>
<td align="center">39&#x2013;74<xref ref-type="table-fn" rid="TFN0008">&#x002A;</xref></td>
<td align="center">22<xref ref-type="table-fn" rid="TFN0008">&#x002A;</xref></td>
<td align="center">18&#x2013;27<xref ref-type="table-fn" rid="TFN0008">&#x002A;</xref></td>
<td align="center">100</td>
<td align="center">63&#x2013;143</td>
<td align="center">196<xref ref-type="table-fn" rid="TFN0008">&#x002A;</xref></td>
<td align="center">86&#x2013;414<xref ref-type="table-fn" rid="TFN0008">&#x002A;</xref></td>
<td align="center">&#x003C; 0.001</td>
</tr>
<tr>
<td align="left">&#x2003;TSAT (&#x0025;)</td>
<td align="center">5<xref ref-type="table-fn" rid="TFN0008">&#x002A;</xref></td>
<td align="center">4&#x2013;7<xref ref-type="table-fn" rid="TFN0008">&#x002A;</xref></td>
<td align="center">21</td>
<td align="center">13&#x2013;32</td>
<td align="center">11<xref ref-type="table-fn" rid="TFN0008">&#x002A;</xref></td>
<td align="center">7&#x2013;18<xref ref-type="table-fn" rid="TFN0008">&#x002A;</xref></td>
<td align="center">12<xref ref-type="table-fn" rid="TFN0008">&#x002A;</xref></td>
<td align="center">10&#x2013;17<xref ref-type="table-fn" rid="TFN0008">&#x002A;</xref></td>
<td align="center">25</td>
<td align="center">19&#x2013;31</td>
<td align="center">16</td>
<td align="center">13&#x2013;24</td>
<td align="center">&#x003C; 0.001</td>
</tr>
<tr>
<td align="left">&#x2003;Transferrin (g/L)</td>
<td align="center">3.59<xref ref-type="table-fn" rid="TFN0008">&#x002A;</xref></td>
<td align="center">3.09&#x2013;4.17<xref ref-type="table-fn" rid="TFN0008">&#x002A;</xref></td>
<td align="center">1.65<xref ref-type="table-fn" rid="TFN0008">&#x002A;</xref></td>
<td align="center">1.29&#x2013;2.01<xref ref-type="table-fn" rid="TFN0008">&#x002A;</xref></td>
<td align="center">2.64</td>
<td align="center">2.19&#x2013;3.23</td>
<td align="center">3.12<xref ref-type="table-fn" rid="TFN0008">&#x002A;</xref></td>
<td align="center">2.86&#x2013;3.43<xref ref-type="table-fn" rid="TFN0008">&#x002A;</xref></td>
<td align="center">2.59</td>
<td align="center">2.30&#x2013;2.91</td>
<td align="center">2.52<xref ref-type="table-fn" rid="TFN0008">&#x002A;</xref></td>
<td align="center">2.08&#x2013;2.94<xref ref-type="table-fn" rid="TFN0008">&#x002A;</xref></td>
<td align="center">&#x003C; 0.001</td>
</tr>
<tr>
<td align="left">&#x2003;Iron (&#x00B5;mol/L)</td>
<td align="center">4.3<xref ref-type="table-fn" rid="TFN0008">&#x002A;</xref></td>
<td align="center">3.1&#x2013;6.6<xref ref-type="table-fn" rid="TFN0008">&#x002A;</xref></td>
<td align="center">8.2<xref ref-type="table-fn" rid="TFN0008">&#x002A;</xref></td>
<td align="center">4.9&#x2013;14<xref ref-type="table-fn" rid="TFN0008">&#x002A;</xref></td>
<td align="center">7.1<xref ref-type="table-fn" rid="TFN0008">&#x002A;</xref></td>
<td align="center">4.6&#x2013;11.4<xref ref-type="table-fn" rid="TFN0008">&#x002A;</xref></td>
<td align="center">10.1<xref ref-type="table-fn" rid="TFN0008">&#x002A;</xref></td>
<td align="center">8&#x2013;13.7<xref ref-type="table-fn" rid="TFN0008">&#x002A;</xref></td>
<td align="center">16.2</td>
<td align="center">12.1&#x2013;20.2</td>
<td align="center">10.5</td>
<td align="center">8.0&#x2013;13.7</td>
<td align="center">&#x003C; 0.001</td>
</tr>
<tr>
<td align="left">&#x2003;Haemoglobin (g/dL)</td>
<td align="center">7.8<xref ref-type="table-fn" rid="TFN0008">&#x002A;</xref></td>
<td align="center">6.2&#x2013;9.6<xref ref-type="table-fn" rid="TFN0008">&#x002A;</xref></td>
<td align="center">8.6<xref ref-type="table-fn" rid="TFN0008">&#x002A;</xref></td>
<td align="center">6.9&#x2013;10.3<xref ref-type="table-fn" rid="TFN0008">&#x002A;</xref></td>
<td align="center">9.9<xref ref-type="table-fn" rid="TFN0008">&#x002A;</xref></td>
<td align="center">8.1&#x2013;11.10<xref ref-type="table-fn" rid="TFN0008">&#x002A;</xref></td>
<td align="center">13.1</td>
<td align="center">12.4&#x2013;13.8</td>
<td align="center">14.1</td>
<td align="center">13.2&#x2013;15.2</td>
<td align="center">13.6</td>
<td align="center">12.8&#x2013;14.5</td>
<td align="center">&#x003C; 0.001</td>
</tr>
<tr>
<td align="left">&#x2003;MCV (fL)</td>
<td align="center">76.1<xref ref-type="table-fn" rid="TFN0008">&#x002A;</xref></td>
<td align="center">69.7&#x2013;84.1<xref ref-type="table-fn" rid="TFN0008">&#x002A;</xref></td>
<td align="center">91.6<xref ref-type="table-fn" rid="TFN0008">&#x002A;</xref></td>
<td align="center">84.9&#x2013;97.7<xref ref-type="table-fn" rid="TFN0008">&#x002A;</xref></td>
<td align="center">88.4<xref ref-type="table-fn" rid="TFN0008">&#x002A;</xref></td>
<td align="center">79.6&#x2013;94.8<xref ref-type="table-fn" rid="TFN0008">&#x002A;</xref></td>
<td align="center">91.3</td>
<td align="center">86.3&#x2013;95.2</td>
<td align="center">94.3</td>
<td align="center">89.6&#x2013;97.8</td>
<td align="center">92.9</td>
<td align="center">87.4&#x2013;98.5</td>
<td align="center">&#x003C; 0.001</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn><p>IQR, interquartile range; TSAT, transferrin saturation; MCV, mean cell volume.</p></fn>
<fn id="TFN0008"><label>&#x002A;</label><p>, <italic>p</italic> &#x003C; 0.05 vs iron replete.</p></fn>
<fn id="TFN0009"><label>&#x002A;&#x002A;</label><p>, Kruskal-Wallis test.</p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
</sec>
<sec id="s0013">
<title>Discussion</title>
<p>Employing a multi-marker approach for the assessment of iron status, we classified 3221 iron profiles using haemoglobin, serum ferritin with two different cut-offs, and TSAT. Consistent with another study conducted in 2020 in patients attending a hospital in Italy,<sup><xref ref-type="bibr" rid="CIT0021">21</xref></sup> ACD (39&#x0025;) was the most common iron disorder in our setting, irrespective of the ferritin threshold (15 &#x00B5;g/L vs 30 &#x00B5;g/L). Using different thresholds did not affect the frequency, as the diagnostic criterion employed was a serum ferritin concentration &#x003E; 100 &#x00B5;g/L, and the observed median ferritin levels (554 &#x00B5;g/L, interquartile range: 258&#x2013;1156) were substantially elevated. The predominance of ACD in our setting can be attributed to the high burden of pro-inflammatory communicable and non-communicable disorders such as HIV, chronic kidney disease, type 2 diabetes, and metabolic syndrome. Anaemia of chronic disease results from a cytokine-mediated disruption of iron homeostasis, affecting red blood cell survival, erythropoiesis, and iron efflux from macrophages. The elevations in serum ferritin seen in these patients stem from stimulation of the divalent metal transporter 1 with increased intracellular iron shifts.<sup><xref ref-type="bibr" rid="CIT0011">11</xref>,<xref ref-type="bibr" rid="CIT0022">22</xref></sup> The risk of developing ACD increases with advancing age, which corresponds with our observation that ACD was the most frequent iron disorder in the elderly (38.&#x0025;). Among all the categories in our study, patients in the ACD group had the lowest levels of transferrin (median = 1.65 &#x00B5;g/L, interquartile range: 1.29&#x2013;2.01). This observation can be explained by the hepatic inhibition of transferrin production as a consequence of the ongoing inflammatory process.<sup><xref ref-type="bibr" rid="CIT0023">23</xref></sup></p>
<p>An examination of the impact of applying the two distinct ferritin cut-offs on the distribution of patients between iron status categories revealed a noticeable shift in all groups except for ACD. When using a higher cut-off of 30 &#x00B5;g/L, patients initially categorised as iron deficiency + ACD, iron replete, or indeterminate were re-classified as iron deficiency and IDWA, with a 1.7-fold increase for iron deficiency, and a 5.6-fold increase for IDWA. The cut-off of 30 &#x00B5;g/L has been shown to have significantly higher sensitivity (98&#x0025;) when compared to a serum ferritin of 15 &#x00B5;g/L, which is highly specific but lacks sensitivity for recognising iron deficiency, as shown in studies conducted in 1998 in America and 1993 in Sweden.<sup><xref ref-type="bibr" rid="CIT0024">24</xref>,<xref ref-type="bibr" rid="CIT0025">25</xref></sup> This may explain the higher prevalence of profiles identified as indicative of iron deficient states when using 30 &#x00B5;g/L as a serum ferritin threshold. The use of a higher threshold could inadvertently lead to an increase in false positives, but the primary advantage is the increased detection rate of cases that might otherwise go undetected when utilising the lower cut-off of 15 &#x00B5;g/L, which may include up to 50&#x0025; of true cases of IDA.<sup><xref ref-type="bibr" rid="CIT0026">26</xref></sup> Within our clinical setting, there is widespread adoption of the World Health Organization-recommended ferritin cut-off value of 15 &#x00B5;g/L for the diagnosis of IDA. However, potential confusion may arise due to the presence of method-specific (and potentially sex-specific) reference intervals for ferritin reported by the National Health Laboratory Services Laboratory Information System. It is crucial to recognise that these reference intervals are not directly applicable to the diagnosis of all iron status disorders. Instead, they represent the range of ferritin values observed in a healthy population.</p>
<p>It is important to identify and treat iron deficiency, even in the absence of anaemia (normal haemoglobin levels), in order to minimise any potential adverse consequences, such as reduced cognitive function, poor performance, and poorer outcomes across a range of medical conditions that may occur in IDWA.<sup><xref ref-type="bibr" rid="CIT0027">27</xref>,<xref ref-type="bibr" rid="CIT0028">28</xref>,<xref ref-type="bibr" rid="CIT0029">29</xref></sup> Although previous research indicates that the frequency of IDWA may be twice as high as that of IDA,<sup><xref ref-type="bibr" rid="CIT0030">30</xref></sup> our study population produced a lower than expected frequency (&#x003C; 5&#x0025; using either ferritin cut-off), likely because our group was primarily made up of patients attending a hospital or hospitalised, where IDA and ACD are expectedly more common. Despite our low frequency of IDWA (3&#x0025;) being in sharp contrast to that identified in a healthy outpatient population in Lebanon in 2020 (57.5&#x0025; using ferritin &#x003C; 30 &#x00B5;g/L),<sup><xref ref-type="bibr" rid="CIT0031">31</xref></sup> it remains consistent with the established sex differences, where female patients exhibit a higher tendency for iron deficiency.<sup><xref ref-type="bibr" rid="CIT0031">31</xref></sup> The differences in prevalence estimates may also be due to lack of consistency in definitions and parameters, making it challenging to accurately identify IDWA.<sup><xref ref-type="bibr" rid="CIT0028">28</xref></sup> The common practice is relying on a normal haemoglobin combined with a low ferritin in a patient with suggestive clinical symptoms, but there is a lack of guidance for diagnosing IDWA in patients with disorders known to affect ferritin levels. As recommended by Al-Naseem et al. from England in 2021,<sup><xref ref-type="bibr" rid="CIT0028">28</xref></sup> when using a low TSAT as a diagnostic criterion in patients where ferritin levels are elevated, our study showed the prevalence of IDWA increases to 8&#x0025; (ferritin cut-off 15 &#x00B5;g/L) and 9&#x0025; (ferritin cut-off 30 &#x00B5;g/L). These results imply that the inclusion of TSAT may reclassify patients who, according to traditional parameters, would otherwise be classified as indeterminate using our criteria. It is important to acknowledge that TSAT is a ratio of serum iron to transferrin or total iron binding capacity, and is therefore susceptible to variations in either of these parameters.<sup><xref ref-type="bibr" rid="CIT0032">32</xref></sup> Serum iron levels are strongly influenced by dietary consumption and show pronounced diurnal fluctuations, while conditions such as chronic illness and malnutrition suppress the synthesis of transferrin.<sup><xref ref-type="bibr" rid="CIT0033">33</xref></sup> This is supported by evidence from research conducted in 2022 on Kenyan patients that TSAT (&#x003C; 20&#x0025;) shows a relatively low predictive value (31.5&#x0025;) in identifying IDWA.<sup><xref ref-type="bibr" rid="CIT0034">34</xref></sup></p>
<p>Mixed aetiology anaemia, iron deficiency + ACD, is characterised by the co-occurrence of true iron deficiency in patients with ACD. The underlying mechanism is thought to be chronic blood loss associated with a disorder with persistent inflammatory activity.<sup><xref ref-type="bibr" rid="CIT0035">35</xref></sup> It is important to accurately diagnose true iron deficiency in ACD patients in order to prevent delayed iron replacement and failure to identify the underlying cause of blood loss.<sup><xref ref-type="bibr" rid="CIT0036">36</xref>,<xref ref-type="bibr" rid="CIT0037">37</xref></sup> The substantial overlap in conventional blood parameters makes it difficult to distinguish between IDA, iron deficiency + ACD, and ACD. A limit of &#x003C; 100 &#x00B5;g/L has been suggested as a diagnostic criterion for iron deficiency + ACD to account for the inflammation-induced elevation in ferritin.<sup><xref ref-type="bibr" rid="CIT0014">14</xref></sup> In our study, using this cut-off, iron deficiency + ACD ranked second behind ACD (defined by ferritin &#x003C; 15 &#x00B5;g/L) as the most common iron disorder. It is interesting to note however, that a 2021 study conducted in gastroenterology patients in the United Kingdom<sup><xref ref-type="bibr" rid="CIT0035">35</xref></sup> has shown that non-traditional markers such as hepcidin, soluble transferrin receptor (sTfR), sTfR/log ferritin index, and reticulocyte haemoglobin equivalent, can be used to correctly reclassify a substantial proportion of patients in this group as either IDA or ACD alone, indicating that using only traditional markers may overstate the true prevalence of iron deficiency + ACD.<sup><xref ref-type="bibr" rid="CIT0037">37</xref></sup> However, these markers are not without limitations. For instance, the soluble transferrin receptor exhibits an inverse relationship with tissue iron availability and thus is elevated in iron deficiency states. However, due to its correlation with erythropoiesis, its levels also increase in response to enhanced erythropoietic activity, which poses a limitation.<sup><xref ref-type="bibr" rid="CIT0032">32</xref></sup> While the sTfR/log ferritin index has been proposed to improve diagnostic accuracy in anaemia classification compared to sTfR alone, the routine use of both soluble sTfR and the sTfR/log ferritin index remains limited due to cost considerations and significant analytical challenges. These challenges include the lack of standardisation in assay methodologies as well as diagnostic thresholds.<sup><xref ref-type="bibr" rid="CIT0037">37</xref>,<xref ref-type="bibr" rid="CIT0038">38</xref></sup></p>
<p>In our study, the observed parameters in patients with IDA form a classic picture of microcytic anaemia, hypoferraemia, low ferritin levels, decreased TSAT percentages, and elevated transferrin levels. Interestingly, regardless of the cut-off, median IDA ferritin levels remained less than 15 &#x00B5;g/L. Mean cell volume was not used in this study as a diagnostic criterion for classification, but its analysis showed that subjects with iron deficiency (IDA, iron deficiency + ACD, and IDWA) tended to have lower median values than subjects with ACD, iron replete, and indeterminate categories. Notably, the median MCV for only the IDA group (72.8 fL, interquartile range: 67.1&#x2013;79.1) fell below the reference range in our study. Studies show that up to 40&#x0025; of IDA patients may have a normal MCV, thus its usefulness as a stand-alone diagnostic tool for iron deficiency is very limited.<sup><xref ref-type="bibr" rid="CIT0039">39</xref></sup></p>
<p>Lastly, there was a subset of profiles in our study that could not be categorised into any of the pre-defined groups according to our specified criteria and were deemed indeterminate. This unclassifiable group was predominantly characterised by profiles with normal haemoglobin, elevated serum ferritin, and borderline low TSAT levels, and is suggestive of underlying inflammation potentially affecting these parameters. It is noteworthy that a sizeable number of the profiles would be re-classified as IDWA had the TSAT been used in cases of elevated ferritin levels, decreasing the frequency of this group from 13&#x0025; to 5&#x0025; (ferritin &#x003C; 15 &#x00B5;g/L) and 11&#x0025; to 5&#x0025; (ferritin &#x003C; 30 &#x00B5;g/L).</p>
<sec id="s20014">
<title>Limitations</title>
<p>As a retrospective study, this analysis of laboratory data is inherently limited by the lack of information on clinical diagnoses and potentially incomplete data, which may impact the interpretability of the findings. The lack of a comparison to the gold standard diagnostic test, a bone marrow biopsy, made it impossible to verify the accuracy of the IDA classification using ferritin. The lack of inflammatory marker data in this study restricts our ability to incorporate them directly into the analysis of inflammatory conditions groups and the impact on ferritin levels. Specifically, this data cohort was obtained during the coronavirus 2019 pandemic, which could have affected results due to the effect of inflammation on ferritin and transferrin concentration. While a range of ferritin cut-off values have been proposed for the diagnosis of ACD, we opted to utilise a cut-off of 100 &#x00B5;g/L. This specific value aligns with the established threshold for initiating iron replacement therapy in patients with confirmed IDA.<sup><xref ref-type="bibr" rid="CIT0011">11</xref></sup> Our selection of a TSAT &#x003C; 16&#x0025; for iron status classification differs from the &#x003C; 20&#x0025; cut-off employed by some authors, potentially affecting direct comparability of prevalence to other studies.<sup><xref ref-type="bibr" rid="CIT0033">33</xref></sup></p>
</sec>
<sec id="s20015">
<title>Conclusion</title>
<p>In the absence of an acceptable non-invasive gold standard marker for iron deficiency, a ferritin cut-off of 30 &#x00B5;g/L might be a suitable threshold for iron deficiency assessment. While this approach is likely to result in a small increase in false-positive diagnoses, more true iron deficiency cases will be identified compared to a lower ferritin cut-off of 15 &#x00B5;g/L. Furthermore, considering the potential underdiagnosis of IDWA based on existing literature, we recommend screening for iron deficiency using ferritin in patients with normal haemoglobin who present with suggestive clinical symptoms. Our findings highlight the difficulties in accurately assessing iron status using traditional laboratory tests. Non-standardised ferritin cut-offs, suboptimal test performance in inflammatory settings, and considerable overlap in marker profiles between iron deficiency and other conditions contribute to these challenges. Further investigation into the diagnostic accuracy, as well as the feasibility of employing novel markers in our setting, is warranted.</p>
</sec>
</sec>
</body>
<back>
<ack>
<title>Acknowledgements</title>
<p>We express our gratitude to the National Health Laboratory Service Corporate Data Warehouse for their assistance in data mining and for granting us permission to utilise their data for our investigation.</p>
<sec id="s20016" sec-type="COI-statement">
<title>Competing interests</title>
<p>The authors declare that they have no financial or personal relationships that may have inappropriately influenced them in writing this article.</p>
</sec>
<sec id="s20017">
<title>Authors&#x2019; contributions</title>
<p>The conceptualisation of the study and methodology was developed by J.S.G., D.V.M., S.B.K., and S.K. J.S.G. was involved in data collection, and S.B.K. conducted the data analysis. J.S.G., D.V.M., S.B.K., and S.K. reviewed the findings and contributed to the final article. J.S.G. and S.B.K. created the first draft, and D.V.M. and S.K. edited it.</p>
</sec>
<sec id="s20019" sec-type="data-availability">
<title>Data availability</title>
<p>All data generated from this study are available upon reasonable request from the corresponding author, J.S.G.</p>
</sec>
<sec id="s20020">
<title>Disclaimer</title>
<p>The views and opinions expressed in this article are those of the authors and are the product of professional research. It does not necessarily reflect the official policy or position of any affiliated institution, funder, agency, or that of the publisher. The authors are responsible for this article&#x2019;s results, findings, and content.</p>
</sec>
</ack>
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<fn><p><bold>How to cite this article:</bold> Grove JS, Khoza S, Mabuza DV, Khan SB. An audit of the iron status of patients at Chris Hani Baragwanath Academic Hospital, in Johannesburg, South Africa. Afr J Lab Med. 2024;13(1), a2509. <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.4102/ajlm.v13i1.2509">https://doi.org/10.4102/ajlm.v13i1.2509</ext-link></p></fn>
<fn><p><bold>Note:</bold> Additional supporting information may be found in the online version of this article as Online Supplementary Document 1.</p></fn>
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