<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article  PUBLIC "-//NLM//DTD Journal Publishing DTD v3.0 20080202//EN" "http://dtd.nlm.nih.gov/publishing/3.0/journalpublishing3.dtd"><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="3.0" xml:lang="en" article-type="research article"><front><journal-meta><journal-id journal-id-type="publisher-id">OALibJ</journal-id><journal-title-group><journal-title>Open Access Library Journal</journal-title></journal-title-group><issn pub-type="epub">2333-9705</issn><publisher><publisher-name>Scientific Research Publishing</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.4236/oalib.1108611</article-id><article-id pub-id-type="publisher-id">OALibJ-116774</article-id><article-categories><subj-group subj-group-type="heading"><subject>Articles</subject></subj-group><subj-group subj-group-type="Discipline-v2"><subject>Biomedical&amp;Life Sciences</subject><subject> Business&amp;Economics</subject><subject> Chemistry&amp;Materials Science</subject><subject> Computer Science&amp;Communications</subject><subject> Earth&amp;Environmental Sciences</subject><subject> Engineering</subject><subject> Medicine&amp;Healthcare</subject><subject> Physics&amp;Mathematics</subject><subject> Social Sciences&amp;Humanities</subject></subj-group></article-categories><title-group><article-title>
 
 
  Selected Biochemical Values of Suitable Blood Donors at Kenyatta National Hospital
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Jackson</surname><given-names>Ireri Mrama</given-names></name><xref ref-type="aff" rid="aff1"><sub>1</sub></xref></contrib></contrib-group><aff id="aff1"><label>1</label><addr-line>Department of Human Pathology, School of Medicine, University of Nairobi, Nairobi, Kenya</addr-line></aff><pub-date pub-type="epub"><day>31</day><month>03</month><year>2022</year></pub-date><volume>09</volume><issue>04</issue><fpage>1</fpage><lpage>8</lpage><history><date date-type="received"><day>15,</day>	<month>March</month>	<year>2022</year></date><date date-type="rev-recd"><day>22,</day>	<month>April</month>	<year>2022</year>	</date><date date-type="accepted"><day>25,</day>	<month>April</month>	<year>2022</year></date></history><permissions><copyright-statement>&#169; Copyright  2014 by authors and Scientific Research Publishing Inc. </copyright-statement><copyright-year>2014</copyright-year><license><license-p>This work is licensed under the Creative Commons Attribution International License (CC BY). http://creativecommons.org/licenses/by/4.0/</license-p></license></permissions><abstract><p>
 
 
  <em>Background</em>: Clinical values derived from groups of apparently normal individuals are used for the determination of reference ranges. Only individuals with good health are recruited as blood donors and so can form a suitable cohort for the development of reference intervals. Reference intervals are necessary in interpreting and making critical decisions in diagnostic and research purposes. In this cross-section study, male and female selected biochemical values were determined on blood donors attended to at Kenyatta national Hospital donor unit. 
  <em>Objective</em>: To determine gender-based means, medians, 2.5th and 97.5th interquartile ranges of: aspartate transaminase, alanine aminotransaminase, gamma-glutamyl transaminase, alkaline phosphatase, total bilirubin, direct bilirubin, total protein, albumin, and creatinine. 
  <em>Methods</em>: A total of 202 blood donors aged between 18 and 60 years were recruited for the study. Of these 108 (53.5%) were females and the rest males. Social demographic data of the participants was captured in structured questionnaire form. Blood samples for the analytes were collected from the participants into red capped vacutainer for serum extraction. Serum samples were stored at ≤-18&#176;C till testing. Analysis was done using standard laboratory methods. Obtained data was entered into SPSS version 21 where statistical analysis was done. Bootstrap methods were used to calculate means, medians and confidence intervals. The fit of distribution of the obtained data was determined using Shapiro-Wilk test with P &gt; 0.05 indicating Gaussian distribution. Means, medians and 2.5th and 97.5th interquartiles were determined. Gender-based differences were compared using Wilcoxon rank-sum test; P value of less than 0.05 was considered significant. 
  <em>Results</em>: Recruited males were majorly either in business or in formal employment (35.1%) and had tertially education (51.1%); while females were in business (45%) and had tertially education (43.5%). Males demonstrated significantly higher median values than females in: aspartate transaminase (AST), alanine aminotransaminase (ALT), alkaline phosphatase (ALP), total bilirubin (T.Bil), direct bilirubin (D.Bil), albumin (ALB) and creatinine (CRT). Conversely, females demonstrated significantly higher values in total protein (TP). 
  <em>Conclusion</em>: There exist gender-based disparities in biochemical reference intervals that need to be considered in the interpretation and making of accurate decisions in clinical practice and in research.
 
</p></abstract><kwd-group><kwd>Biochemical Values</kwd><kwd> Blood Donors</kwd><kwd> Kenyatta National Hospital</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>Factors such as race, geographical locations, sex, altitude, climate, diet, and environment influence reference ranges of biochemical values [<xref ref-type="bibr" rid="scirp.116774-ref1">1</xref>] [<xref ref-type="bibr" rid="scirp.116774-ref2">2</xref>] [<xref ref-type="bibr" rid="scirp.116774-ref3">3</xref>]. These ranges are used in making critical decisions on laboratory results for both diagnosis and determination of therapeutic outcomes. Levels of biochemical values may be indicators of functional disorders of various body systems and organs. For example, liver function state can be assessed by measuring serum levels of: alanine aminotransaminase (ALT), aspartate transaminase (AST), gamma-glutamyl transaminase (GGT), alkaline phosphatase (ALP), total bilirubin (T.Bil), direct bilirubin (D.Bil), total protein (TP) and albumin (ALB) among others. Conversely, kidney function can be assessed by determining serum levels of creatinine (CRT) and urea [<xref ref-type="bibr" rid="scirp.116774-ref4">4</xref>]. Results of these assays should be compared with the reference ranges of the respective parameters in order to ascertain whether the functions of these organs are deranged or not. Incidentally, these ranges are not universally the same. For example, people of African descent have been shown to have higher ranges in ALT, AST, ALP, TP, ALB, and CRT than the Caucasians [<xref ref-type="bibr" rid="scirp.116774-ref5">5</xref>]. There are significantly higher median values in ALT, GGT, TP, ALB in males below 60 years than those above 60 years, but significantly lower values in T.Bil, D.Bill. Females below 60 years have demonstrated lower AST, ALT, GGT, ALP and TP median values but higher ALB, T.Bil and D.Bil than those above 60 years [<xref ref-type="bibr" rid="scirp.116774-ref6">6</xref>]. Significantly higher median values in males than in females have been demonstrated in: AST, ALT, ALP, GGT, T.Bil, D.Bil, Urea and CRT [<xref ref-type="bibr" rid="scirp.116774-ref7">7</xref>]. There is seasonal variation in biochemical values in which significant decreases in AST, ALT and T.Bil, median values between dry- and rainy-seasons among Guneans aged between 6 and 45 years have been demonstrated. In the same study, gender-based disparities were demonstrated in different age groups with males demonstrating significantly higher AST, ALT and CRT median values [<xref ref-type="bibr" rid="scirp.116774-ref8">8</xref>]. With the background of such variations, the recommendation for national and regional based biochemical reference intervals is justified [<xref ref-type="bibr" rid="scirp.116774-ref9">9</xref>]. Further to this pursuit, the current study aims at determining reference intervals for routinely evaluated biochemical values that can be used for diagnosis and research in the settings of the study.</p></sec><sec id="s2"><title>2. Materials and Methods</title><sec id="s2_1"><title>2.1. Ethical Statement</title><p>The Ethics and Research Committees of Kenyatta National Hospital-University of Nairobi (KNH-UoN) approved the study protocol.</p></sec><sec id="s2_2"><title>2.2. Study Design, Setting and Population</title><p>This was a cross section study carried out on blood donors attended to at Kenyatta national Hospital, Kenya between 2018 and 2019. A total of 202 adults aged between 18 and 60 years were consecutively recruited into the study. Female participants comprised of 108 (53.5%) and the rests were males. The social demographic characteristics were captured in a structured questionnaire form adopted and modified from the hospital donor recruitment form. Five milliliters of blood samples were obtained from each enrollee into plain vacutainers for serum extraction. Serum samples obtained by centrifuging clotted blood samples were stored frozen in plastic vial at ≤−18˚C till analysis.</p></sec><sec id="s2_3"><title>2.3. Experimental Procedures</title><p>The biochemical tests were done on fully automated, HUMASTAR, 600<sup>&#174;</sup> analyzer. The analyzer was quality controlled using trilevel controls (low, normal and high) for each analyte. The reagents for: ALT, AST, ALP, GGT, T.Bil, D.Bil, TP, ALB, CRT and UREA were positioned in the analyzer. The analyzer mixed the samples and the reagents, incubated, read the absorbance at appropriate wavelength, displayed the results and printed them automatically. Test serum sample were run after commercial controls met the manufacturer’s recommended ranges (Appendix 1).</p></sec><sec id="s2_4"><title>2.4. Statistics</title><p>The raw data was entered into excel computer data base for cleaning and verification. The data was then transported into statistical package for the social sciences (SPSS) version 21 for analysis. The fit of the observed distribution was determined using Shapiro-Wilk tests with P &gt; 0.05 being considered significant. Bootstrap parametric and non-parametric methods were used to calculate means and medians to raise the power of the low sample sizes [<xref ref-type="bibr" rid="scirp.116774-ref10">10</xref>]. Medians were used to describe non-parametric parameters, while means and standard deviations were used to describe data with Gaussian distribution. Wilcoxon rank-sum test was used to compare male and female median values.</p></sec></sec><sec id="s3"><title>3. Results</title><p>The enrollees were majorly in business and held tertially level of education as shown in <xref ref-type="table" rid="table1">Table 1</xref>.</p><p>Males demonstrated significantly higher median values than females in AST</p><table-wrap id="table1" ><label><xref ref-type="table" rid="table1">Table 1</xref></label><caption><title> Social demographic characteristics of the study participants</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  rowspan="3"  >Gender</th><th align="center" valign="middle"  colspan="10"  >Variable</th></tr></thead><tr><td align="center" valign="middle" >Age</td><td align="center" valign="middle"  colspan="4"  >Education</td><td align="center" valign="middle"  colspan="5"  >Vocation</td></tr><tr><td align="center" valign="middle" >Mean (&#177;SD)</td><td align="center" valign="middle" >None F (%)</td><td align="center" valign="middle" >Primary F (%)</td><td align="center" valign="middle" >Secondary F (%)</td><td align="center" valign="middle" >Tertially F (%)</td><td align="center" valign="middle" >None F (%)</td><td align="center" valign="middle" >House/wife F (%)</td><td align="center" valign="middle" >Student F (%)</td><td align="center" valign="middle" >Business F (%)</td><td align="center" valign="middle" >Employed F (%)</td></tr><tr><td align="center" valign="middle" >Combined (n = 202)</td><td align="center" valign="middle" >31.88 (9.25)</td><td align="center" valign="middle" >1 (1)</td><td align="center" valign="middle" >25 (12.3)</td><td align="center" valign="middle" >81 (39.9)</td><td align="center" valign="middle" >95 (46.8)</td><td align="center" valign="middle" >3 (1.5)</td><td align="center" valign="middle" >12 (5.9)</td><td align="center" valign="middle" >53 (26.2)</td><td align="center" valign="middle" >81 (40.6.6)</td><td align="center" valign="middle" >53 (26.2)</td></tr><tr><td align="center" valign="middle" >Male (n = 94)</td><td align="center" valign="middle" >31.91 (9.66)</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >7 (7.4)</td><td align="center" valign="middle" >39 (41.5)</td><td align="center" valign="middle" >48 (51.1)</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >28 (29.8)</td><td align="center" valign="middle" >33 (35.1)</td><td align="center" valign="middle" >33 (35.1)</td></tr><tr><td align="center" valign="middle" >Female (n = 108)</td><td align="center" valign="middle" >31.85 (8.92)</td><td align="center" valign="middle" >1(1)</td><td align="center" valign="middle" >18 (16.7)</td><td align="center" valign="middle" >42 (38.9)</td><td align="center" valign="middle" >47 (43.5)</td><td align="center" valign="middle" >3 (2.8)</td><td align="center" valign="middle" >12 (11)</td><td align="center" valign="middle" >25 (22.9)</td><td align="center" valign="middle" >49 (45)</td><td align="center" valign="middle" >20 (18.3)</td></tr></tbody></table></table-wrap><p>F = Frequency.</p><p>(26 u/l vs 24 u/l, p = 0.001), ALT (18 u/l vs 13 u/l, p &lt; 0.001), ALP (99 u/l vs 84 u/l, p &lt; 0.001), T.Bil (7.01 μmoles/l vs 5.49 μmoles/l, p = 0.004), D.Bil (3.42 μmoles/l vs 2.5 μmoles/l, p &lt; 0.001), ALB (45 g/l vs 41 g/l, p &lt; 0.001) and CRT (97 mmoles/l vs 86 mmoles/l. p = 0.001). Females demonstrated significantly higher TP median values than males (77 g/l vs 69 g/l, p &lt; 0.001). This is shown in <xref ref-type="table" rid="table2">Table 2</xref>.</p></sec><sec id="s4"><title>4. Discussion</title><p>Significantly higher median values in males than in females demonstrated in AST, ALT, ALP, T.Bil, D.Bil and ALB and CRT in the current study have been reported also by Kibaya et al. (2008) among 1020 males and 521 females from different ethnic people groups residing in Kericho situated 2042 m above sea level and lying 260 km northwest of Nairobi. The results of UREA were however, not comparable in the two studies as gender-based significant difference was only demonstrated in the current study [<xref ref-type="bibr" rid="scirp.116774-ref11">11</xref>]. These findings clearly show that the observed gender-based differences in biochemical parameters were not tagged to the studied sample sizes or altitude. Sex hormones play major roles in the various aspects of reproduction, differentiation, growth and homeostasis in influencing development of specific gender-traits and consequently, influencing the regulation of structure and function of nearly all tissues and organs [<xref ref-type="bibr" rid="scirp.116774-ref12">12</xref>]. Thus their role in the observed differences in the biochemical parameters may not be exonerated. Specifically, estrogen has been reported to have protective role against cardiovascular diseases in premenopausal females when compared to age-matched males, and to postmenopause females [<xref ref-type="bibr" rid="scirp.116774-ref13">13</xref>]. Moreover, there are reported increases in urea, Lactate dehydrogenase and ALP values in Caucasian females above 48 years which is considered as menopausal transition period [<xref ref-type="bibr" rid="scirp.116774-ref14">14</xref>] [<xref ref-type="bibr" rid="scirp.116774-ref15">15</xref>] when levels of estrogen start declining compared with the values of those below 45 years [<xref ref-type="bibr" rid="scirp.116774-ref16">16</xref>]. This observation supports the role of sex hormones in influencing the levels of biochemical parameters. Contradicting reports of insignificant differences between males and females in ALT, AST ALP and TP values</p><table-wrap id="table2" ><label><xref ref-type="table" rid="table2">Table 2</xref></label><caption><title> Means, medians, SD, modes, Ranges, 2.5 - 97.5 percentiles Z-value, p-value of females and males AST, ALT, G-GT, ALP, T.Bil, D.Bil, TP, ALBUREA &amp; CRT values</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Parameter</th><th align="center" valign="middle" >Sex</th><th align="center" valign="middle" >N</th><th align="center" valign="middle" >Mean</th><th align="center" valign="middle" >SD</th><th align="center" valign="middle" >95% CI</th><th align="center" valign="middle" >p-value</th><th align="center" valign="middle" >Mode</th><th align="center" valign="middle" >Median</th><th align="center" valign="middle" >2.5<sup>th</sup> - 97.5<sup>th</sup></th></tr></thead><tr><td align="center" valign="middle"  rowspan="3"  >AST u/l</td><td align="center" valign="middle" >Combined</td><td align="center" valign="middle" >202</td><td align="center" valign="middle" >26.13</td><td align="center" valign="middle" >8.47</td><td align="center" valign="middle" >24.95 - 27.30</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >22</td><td align="center" valign="middle" >25</td><td align="center" valign="middle" >14.0 -46.62</td></tr><tr><td align="center" valign="middle" >Female</td><td align="center" valign="middle" >108</td><td align="center" valign="middle" >24</td><td align="center" valign="middle" >7</td><td align="center" valign="middle" >23.1 - 25.6</td><td align="center" valign="middle"  rowspan="2"  >0.001</td><td align="center" valign="middle" >22</td><td align="center" valign="middle" >24</td><td align="center" valign="middle" >14.0 - 42.0</td></tr><tr><td align="center" valign="middle" >Male</td><td align="center" valign="middle" >94</td><td align="center" valign="middle" >28</td><td align="center" valign="middle" >10.00.</td><td align="center" valign="middle" >26.1 - 30.2</td><td align="center" valign="middle" >24</td><td align="center" valign="middle" >26</td><td align="center" valign="middle" >16.0 - 64.0</td></tr><tr><td align="center" valign="middle"  rowspan="3"  >ALT u/l</td><td align="center" valign="middle" >Combined</td><td align="center" valign="middle" >202</td><td align="center" valign="middle" >17.87</td><td align="center" valign="middle" >11.28</td><td align="center" valign="middle" >16.31 - 19.44</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >13</td><td align="center" valign="middle" >15.5</td><td align="center" valign="middle" >5.0 - 48.9</td></tr><tr><td align="center" valign="middle" >Female</td><td align="center" valign="middle" >108</td><td align="center" valign="middle" >15</td><td align="center" valign="middle" >8</td><td align="center" valign="middle" >13.3 - 16.3</td><td align="center" valign="middle"  rowspan="2"  >&lt;0.001</td><td align="center" valign="middle" >13</td><td align="center" valign="middle" >13</td><td align="center" valign="middle" >4.0 - 38</td></tr><tr><td align="center" valign="middle" >Male</td><td align="center" valign="middle" >94</td><td align="center" valign="middle" >21</td><td align="center" valign="middle" >13</td><td align="center" valign="middle" >18.5 - 24.1</td><td align="center" valign="middle" >17</td><td align="center" valign="middle" >18</td><td align="center" valign="middle" >7.0 - 70.0</td></tr><tr><td align="center" valign="middle"  rowspan="3"  >G-GT u/l</td><td align="center" valign="middle" >Combined</td><td align="center" valign="middle" >202</td><td align="center" valign="middle" >26.83</td><td align="center" valign="middle" >21.88</td><td align="center" valign="middle" >23.8 - 29.9</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >15</td><td align="center" valign="middle" >21</td><td align="center" valign="middle" >7.0 - 92.6</td></tr><tr><td align="center" valign="middle" >Female</td><td align="center" valign="middle" >108</td><td align="center" valign="middle" >26.6</td><td align="center" valign="middle" >20.5</td><td align="center" valign="middle" >22.7 - 30.6</td><td align="center" valign="middle"  rowspan="2"  >0.902</td><td align="center" valign="middle" >15</td><td align="center" valign="middle" >22.5</td><td align="center" valign="middle" >7.0 - 102.0</td></tr><tr><td align="center" valign="middle" >Male</td><td align="center" valign="middle" >94</td><td align="center" valign="middle" >27</td><td align="center" valign="middle" >23.5</td><td align="center" valign="middle" >22.2 - 31.8</td><td align="center" valign="middle" >17</td><td align="center" valign="middle" >20</td><td align="center" valign="middle" >7.0 - 138.0</td></tr><tr><td align="center" valign="middle"  rowspan="3"  >ALP u/l</td><td align="center" valign="middle" >Combined</td><td align="center" valign="middle" >202</td><td align="center" valign="middle" >92.1</td><td align="center" valign="middle" >35.89</td><td align="center" valign="middle" >87.0 - 97.0</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >83</td><td align="center" valign="middle" >88</td><td align="center" valign="middle" >30 - 171.3</td></tr><tr><td align="center" valign="middle" >Female</td><td align="center" valign="middle" >108</td><td align="center" valign="middle" >83.5</td><td align="center" valign="middle" >34.5</td><td align="center" valign="middle" >77.0 - 90.0</td><td align="center" valign="middle"  rowspan="2"  >&lt;0.001</td><td align="center" valign="middle" >53</td><td align="center" valign="middle" >84</td><td align="center" valign="middle" >21.0 - 172.0</td></tr><tr><td align="center" valign="middle" >Male</td><td align="center" valign="middle" >94</td><td align="center" valign="middle" >101.9</td><td align="center" valign="middle" >35.1</td><td align="center" valign="middle" >95.0 - 101.0</td><td align="center" valign="middle" >83</td><td align="center" valign="middle" >99</td><td align="center" valign="middle" >31.0 - 187.0</td></tr><tr><td align="center" valign="middle"  rowspan="3"  >T.BIL μmoles/l</td><td align="center" valign="middle" >Combined</td><td align="center" valign="middle" >202</td><td align="center" valign="middle" >7.13</td><td align="center" valign="middle" >3.77</td><td align="center" valign="middle" >6.61 - 76.5</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >4.57</td><td align="center" valign="middle" >6.25</td><td align="center" valign="middle" >2.6 - 18.7</td></tr><tr><td align="center" valign="middle" >Female</td><td align="center" valign="middle" >108</td><td align="center" valign="middle" >6.43</td><td align="center" valign="middle" >3.19</td><td align="center" valign="middle" >5.8 - 7.0</td><td align="center" valign="middle"  rowspan="2"  >0.004</td><td align="center" valign="middle" >4.51</td><td align="center" valign="middle" >5.49</td><td align="center" valign="middle" >2.15 - 14.56</td></tr><tr><td align="center" valign="middle" >Male</td><td align="center" valign="middle" >94</td><td align="center" valign="middle" >7.94</td><td align="center" valign="middle" >4.23</td><td align="center" valign="middle" >7.1 - 8.8</td><td align="center" valign="middle" >8.13</td><td align="center" valign="middle" >7.01</td><td align="center" valign="middle" >2.86 - 22.05</td></tr><tr><td align="center" valign="middle"  rowspan="3"  >D.Bil μmoles/l</td><td align="center" valign="middle" >Combined</td><td align="center" valign="middle" >202</td><td align="center" valign="middle" >3.14</td><td align="center" valign="middle" >1.51</td><td align="center" valign="middle" >2.93 - 3.34</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >1.71</td><td align="center" valign="middle" >2.81</td><td align="center" valign="middle" >1.71 -6.88</td></tr><tr><td align="center" valign="middle" >Female</td><td align="center" valign="middle" >108</td><td align="center" valign="middle" >2.73</td><td align="center" valign="middle" >1.04</td><td align="center" valign="middle" >2.5 - 2.9</td><td align="center" valign="middle"  rowspan="2"  >&lt;0.001</td><td align="center" valign="middle" >1.71</td><td align="center" valign="middle" >2.5</td><td align="center" valign="middle" >1.71 - 5.47</td></tr><tr><td align="center" valign="middle" >Male</td><td align="center" valign="middle" >94</td><td align="center" valign="middle" >3.6</td><td align="center" valign="middle" >1.8</td><td align="center" valign="middle" >3.2 - 4.0</td><td align="center" valign="middle" >1.71</td><td align="center" valign="middle" >3.42</td><td align="center" valign="middle" >1.71 - 11.58</td></tr><tr><td align="center" valign="middle"  rowspan="3"  >TP g/l</td><td align="center" valign="middle" >Combined</td><td align="center" valign="middle" >202</td><td align="center" valign="middle" >73.54</td><td align="center" valign="middle" >10.205</td><td align="center" valign="middle" >72.1 - 75.0</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >71</td><td align="center" valign="middle" >72</td><td align="center" valign="middle" >57.0 - 96.0</td></tr><tr><td align="center" valign="middle" >Female</td><td align="center" valign="middle" >108</td><td align="center" valign="middle" >77</td><td align="center" valign="middle" >11</td><td align="center" valign="middle" >74.9 - 79.2</td><td align="center" valign="middle"  rowspan="2"  >&lt;0.001</td><td align="center" valign="middle" >71</td><td align="center" valign="middle" >77</td><td align="center" valign="middle" >58.0 - 104.0</td></tr><tr><td align="center" valign="middle" >Male</td><td align="center" valign="middle" >94</td><td align="center" valign="middle" >69</td><td align="center" valign="middle" >7</td><td align="center" valign="middle" >68.1 - 70.9</td><td align="center" valign="middle" >68</td><td align="center" valign="middle" >69</td><td align="center" valign="middle" >57.0 - 87.0</td></tr><tr><td align="center" valign="middle"  rowspan="3"  >ALB g/l</td><td align="center" valign="middle" >Combined</td><td align="center" valign="middle" >202</td><td align="center" valign="middle" >43.94</td><td align="center" valign="middle" >4.98</td><td align="center" valign="middle" >43.2 - 44.6</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >41</td><td align="center" valign="middle" >44</td><td align="center" valign="middle" >36.0 - 53.0</td></tr><tr><td align="center" valign="middle" >Female</td><td align="center" valign="middle" >108</td><td align="center" valign="middle" >42</td><td align="center" valign="middle" >5</td><td align="center" valign="middle" >41.5 - 43.4</td><td align="center" valign="middle"  rowspan="2"  >&lt;0.001</td><td align="center" valign="middle" >41</td><td align="center" valign="middle" >41</td><td align="center" valign="middle" >34.0 - 53.0</td></tr><tr><td align="center" valign="middle" >Male</td><td align="center" valign="middle" >94</td><td align="center" valign="middle" >46</td><td align="center" valign="middle" >4</td><td align="center" valign="middle" >47.7 - 46.6</td><td align="center" valign="middle" >44</td><td align="center" valign="middle" >45</td><td align="center" valign="middle" >38.0 - 55.0</td></tr><tr><td align="center" valign="middle"  rowspan="3"  >UREA μmoles/l</td><td align="center" valign="middle" >Combined</td><td align="center" valign="middle" >202</td><td align="center" valign="middle" >39.6</td><td align="center" valign="middle" >1.77</td><td align="center" valign="middle" >3.71 - 4.20</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >4</td><td align="center" valign="middle" >3.5</td><td align="center" valign="middle" >2.1 - 9.15</td></tr><tr><td align="center" valign="middle" >Female</td><td align="center" valign="middle" >108</td><td align="center" valign="middle" >3.8</td><td align="center" valign="middle" >1.5</td><td align="center" valign="middle" >3.5 - 4.1</td><td align="center" valign="middle"  rowspan="2"  >0.133</td><td align="center" valign="middle" >3.1</td><td align="center" valign="middle" >3.4</td><td align="center" valign="middle" >2.1 - 8.4</td></tr><tr><td align="center" valign="middle" >Male</td><td align="center" valign="middle" >94</td><td align="center" valign="middle" >4.2</td><td align="center" valign="middle" >2</td><td align="center" valign="middle" >3.7 - 4.6</td><td align="center" valign="middle" >4</td><td align="center" valign="middle" >3.8</td><td align="center" valign="middle" >2.2 - 10.8</td></tr><tr><td align="center" valign="middle"  rowspan="3"  >CRT mmoles/l</td><td align="center" valign="middle" >Combined</td><td align="center" valign="middle" >202</td><td align="center" valign="middle" >93.33</td><td align="center" valign="middle" >22.92</td><td align="center" valign="middle" >90.1 - 96.5</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >86</td><td align="center" valign="middle" >90</td><td align="center" valign="middle" >52.2 - 146.9</td></tr><tr><td align="center" valign="middle" >Female</td><td align="center" valign="middle" >108</td><td align="center" valign="middle" >88.2</td><td align="center" valign="middle" >23.2</td><td align="center" valign="middle" >83.8 - 92.6</td><td align="center" valign="middle"  rowspan="2"  >0.001</td><td align="center" valign="middle" >86</td><td align="center" valign="middle" >86</td><td align="center" valign="middle" >50 - 173</td></tr><tr><td align="center" valign="middle" >Male</td><td align="center" valign="middle" >94</td><td align="center" valign="middle" >99.2</td><td align="center" valign="middle" >21.2</td><td align="center" valign="middle" >94.9 - 103.6</td><td align="center" valign="middle" >88</td><td align="center" valign="middle" >97</td><td align="center" valign="middle" >70.0 - 159.0</td></tr></tbody></table></table-wrap><p>Comparison of male and female parameters using Independent t-test p &lt; 0.05 considered significant. Bold denotes significant. AST= Aspartate transaminase, ALT = alanine aminotransaminase, ALP = alkaline phosphatase, T.Bil = total bilirubin, D.Bil = direct bilirubin, ALB = albumin, CRT = creatinine. TP = total protein.</p><p>from a study conducted among 35 Indian females and 35 males [<xref ref-type="bibr" rid="scirp.116774-ref12">12</xref>] raises a question on the need of using large sample sizes when determining reference intervals of a population [<xref ref-type="bibr" rid="scirp.116774-ref17">17</xref>]. Significantly lower ALB values in females have been reported elsewhere and have been attributed to increased degradation [<xref ref-type="bibr" rid="scirp.116774-ref12">12</xref>]. The significantly higher TP values in females than males observed in the current study concurs with the findings observed in elderly subjects aged between 60 and 75 years [<xref ref-type="bibr" rid="scirp.116774-ref18">18</xref>]. Nonetheless, there is a contradictory report of insignificant gender-based differences in TP levels [<xref ref-type="bibr" rid="scirp.116774-ref5">5</xref>]. Although there is no obvious explanation of the reported discrepancies in TP values, it would be helpful to evaluate the performance of different assay techniques using different age group subjects and from different racial backgrounds.</p></sec><sec id="s5"><title>5. Conclusion</title><p>In health males demonstrate significantly higher biochemical median values than females and the main possible cause of the disparities is the effect in sex hormones. It is also apparent that gender-based disparities were not tagged to the studied sample sizes or altitude. Notwithstanding too low sample sizes for example that of 35 participants did not demonstrate the significant gender-based disparities in ALT, AST ALP and TP observed in larger sample sizes.</p></sec><sec id="s6"><title>Recommendations</title><p>Localized gender-based reference intervals for ALT, AST, ALP, T.Bil, D.Bil, TP, ALB, and CRT for different age groups are established for use in clinical practice and research. The reference ranges established in the current study could be used in the interpretation of laboratory test results in the setting of the study if no other appropriate reference intervals are available.</p></sec><sec id="s7"><title>Conflicts of Interest</title><p>The author has no conflict of interest tagged to this study work.</p></sec><sec id="s8"><title>Cite this paper</title><p>Mrama, J.I. (2022) Selected Biochemical Values of Suitable Blood Donors at Kenyatta National Hospital. 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