<?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">JBM</journal-id><journal-title-group><journal-title>Journal of Biosciences and Medicines</journal-title></journal-title-group><issn pub-type="epub">2327-5081</issn><publisher><publisher-name>Scientific Research Publishing</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.4236/jbm.2016.41007</article-id><article-id pub-id-type="publisher-id">JBM-62624</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></subj-group></article-categories><title-group><article-title>
 
 
  Evidence of Renal Damage in HIV-Infected Patients with High CD4 Counts Following the Use of Traditional Medicine
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>umbara</surname><given-names>Deebii</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Ezinne</surname><given-names>Janefrances Nwankwo</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Ogechukwu</surname><given-names>Samuel Obi</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Mpakaboari</surname><given-names>Tonye Bekinbo</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib></contrib-group><aff id="aff2"><addr-line>Department of Human Physiology, University of Port Harcourt, Port Harcourt, Nigeria</addr-line></aff><aff id="aff1"><addr-line>Department of Haematology, Blood Transfusion and Immunology, University of Port Harcourt, Port Harcourt,
Nigeria</addr-line></aff><pub-date pub-type="epub"><day>25</day><month>12</month><year>2015</year></pub-date><volume>04</volume><issue>01</issue><fpage>54</fpage><lpage>58</lpage><history><date date-type="received"><day>22</day>	<month>November</month>	<year>2015</year></date><date date-type="rev-recd"><day>accepted</day>	<month>8</month>	<year>January</year>	</date><date date-type="accepted"><day>11</day>	<month>January</month>	<year>2016</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>
 
 
  Kidney dysfunction is one of the most serious complications resulting from the use of traditional medicine which is common in Africa accounting for about 35% of renal damage in HIV-infected patients. In this cross sectional study, 250 HIV-infected patients were groups as follows: ART GrpA (100), ART + traditional medicine use GrpB (100) and ART treatment na&#239;ve + traditional medicine GrpC (50). Tubular dysfunctions were defined when at least two or more of the following abnormalities were repeatedly present: Uricosuria ≥ 0.05 mg/dl, Phosphaturia ≥ 20.0 mg/dl, Glucosuria ≥ 0.1 mg/dl, Proteinuria = positive protein on dipstick urine. Renal dysfunctions were found to be significantly high (P = 0.001) in the group of patients treated with ART + traditional medicine. 27 (64.29%) patients followed by ART treatment na&#239;ve patients + traditional medicine; 12 (28.57%) patients and only 4 (7.14%) patients developed renal toxicity in the ART treatment Grp. But strikingly CD4 counts were also significantly higher in Grp B (683 cell/ul) compared to group A (446 cell/ul) and C (206 cell/ul). Our results show that HIV-infected patients on ART combined with traditional medicine might develop renal abnormalities in the presence of high CD4 counts, in the course of incessant use of traditional medicine. Thus it is important that more research be conducted on its usage among the Black population with HIV infection.
 
</p></abstract><kwd-group><kwd>Renal Dysfunction</kwd><kwd> Traditional Medicine</kwd><kwd> HIV-Infected Patients</kwd><kwd> CD4 Counts</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>HIV-infected patients in both rural and urban settings usually preferred traditional medicine healers before or instead of consultation with a physician [<xref ref-type="bibr" rid="scirp.62624-ref1">1</xref>] -[<xref ref-type="bibr" rid="scirp.62624-ref3">3</xref>] . The reasons for this choice often are multifactorial (e.g., as a result of family or societal pressure, economic pressure, stigmatization, or fright of hospitals) [<xref ref-type="bibr" rid="scirp.62624-ref3">3</xref>] . Traditional healers play a significant role in health care in Africa, and most of their users do not need to resort to Western medicine. Similar to Western medicine, latrogenic complications may arise, however, from the use of traditional therapies. Thus clinicians are usually faced with life threatening renal complications, arising from the used of these traditional medicines. Antiretroviral therapy (ART) has been shown to be highly effective at reducing viral load in people living with HIV. There are a number of symptoms associated with both the treatment and disease which could be addressed through complementary and alternative medicine, including comorbidities (e.g. cardiovascular, liver and renal diseases) and mental health issues (e.g. depression). Since the beginning of the HIV epidemic, traditional medicine has been popular among people living with HIV due to a lack of effective treatments early in the epidemic and a continued lack of access to ART in low and middle-income countries [<xref ref-type="bibr" rid="scirp.62624-ref4">4</xref>] . People living with HIV use traditional medicine for a variety of causes, many related to the use of ART (e.g. poor and antagonistic effects, high cost and lack of availability) [<xref ref-type="bibr" rid="scirp.62624-ref5">5</xref>] . Despite the popularity of traditional medicine, choices by people living with HIV to utilize these types of therapies are often poorly informed [<xref ref-type="bibr" rid="scirp.62624-ref6">6</xref>] . Existing and updated literatures indicate that there is petite research on the frequency of traditional medicine use in Africa and the Caribbean to treat HIV. However, available research indicates that, in African countries with a strong traditional system of medicine, people living with HIV often seek treatment from traditional healers or take herbal medicines prior to accessing clinical care or starting antiretroviral drugs [<xref ref-type="bibr" rid="scirp.62624-ref7">7</xref>] . Herbal medicine in Africa is majorly used as both primary and secondary treatment for HIV and other tropical infectious diseases. It is believed that due to the impending interactions between traditional medicine and antiretroviral drugs and the potentially harmful effects on adherence, it is important that more research be conducted on its usage among the Black population. This will help clinicians and other health care providers to be aware of popular types of traditional medicine and potential interactions, thus creating a reassuring environment where people living with HIV can reveal their traditional medicine use and be informed about their personal health choices.</p></sec><sec id="s2"><title>2. Material and Methods</title><sec id="s2_1"><title>2.1. Study Protocol</title><p>HIV-infected patients on different treatment regimen as well as those who are treatment na&#239;ve were group as follows: Group A (100 HIV infected patients on ART), Group B (100 HIV infected patients on ART combined with traditional medicine), and Group C (54 HIV infected patients who are ART treatment na&#239;ve but on traditional medicine).</p></sec><sec id="s2_2"><title>2.2. Exclusion Criteria</title><p>Exclusion criteria were as follows: Inability to give informed consent, Diabetes and Hepatitis B/C, known renal disease, patients on aminoglycosides or other nephrotoxic medications and pregnancy.</p><p>From every patient’s social-demographics details of age, sex, occupation, education, income, and HIV status (CD4 T-lymphocyte count) were recorded at the time of recruitment in to the study. Total prior exposure to traditional medicine was considered as the number of months of uninterrupted anti-HIV treatment up to inclusion. Periods of drug interruption for any reason, if occurring, were discounted. This information was obtained from the patient’s treatment file and pharmacy records, as all patients recruited in to the studies had to obtain antiretroviral drugs on a monthly basis from the hospital pharmacy. Treatment was provided without any cost to patients.</p></sec><sec id="s2_3"><title>2.3. Samples Collection</title><p>A fasting blood sample was obtained during the protocol visits; the patients also provided a sample of the 24-h urine collection and a morning spot urine sample. Serum and blood samples were analyzed for routine chemistry and a complete blood count. The 24-h urine samples were centrifuged and sent to the central laboratory for evaluation of routine parameters. Carley et al., [<xref ref-type="bibr" rid="scirp.62624-ref8">8</xref>] simple normograms for the calculation of sample size for clinical diagnostic study was used for the calculation of sample size for this study.</p></sec><sec id="s2_4"><title>2.4. Statistical Analysis</title><p>Continuous values are given as mean and standard deviation while categorical data are given as percentages. The three groups of patients analyzed were first compared using chi-squared for categorical data and parametric tests for continuous variables. The level of significance was 0.05. All statistical analyses were performed using SPSS v20.0 software package (SPSS inc., Chicago, Illinois, USA).</p></sec><sec id="s2_5"><title>2.5. Safety and Ethical Consideration</title><p>The study was carried out in accordance with universal ethical standards and commence only after approval was given by the University of Port Harcourt Ethical Board and the University of Port Harcourt Teaching Hospital Ethical Committee. All data generated were kept in strict confidentiality.</p></sec></sec><sec id="s3"><title>3. Results</title>Characteristics of Patients<p>A total of 250 HIV patients were recruited for the study. At recruitment, 100 patients were under ART (Group A), 100 on ART combined with traditional medicine (Group B) and 50 were ART treatment na&#239;ve patients on traditional medicine (Group C).</p><p>Tubular dysfunction were defined when at least two or more of the following abnormalities were repeatedly present; Uricosuria ≥ 0.05 mg/dl, Phosphaturia ≥ 20.0 mg/dl, Glucosuria ≥ 0.1 mg/dl, Proteinuria = positive protein on dipstick urine. The mean age of the distinct patients’ populations include: ART only (Group A) 31.23 years, ART and Traditional medicine (Group B) 32.32 years, and ART treatment-na&#239;ve and traditional medicine (Group C) 31.34 years, thedifferences between the groups were not statistically significant (P = 0.099) as shown in <xref ref-type="table" rid="table1">Table 1</xref>. The gender distribution in this study was statistically significant (P = 0.004) and were observed to be; 108 (42.52%) males and 146 (57.48%) females. Of the 150 patients exposed to traditional medicine, 80 (53.33%) had been on the drug for 1 - 12 months, 30 (20.00%) for 13 - 24 months, 25 (16.67%) for 25 - 36 months and 15 (10.0%) for 37 months and above (P-value = 0.01) as shown in <xref ref-type="table" rid="table2">Table 2</xref>.</p><p>Our results show renal dysfunction in the study groups to be as follows: Group A, 3 (7.14%), Group B, 27 (64.29%) and Group C, 12 (28.57%) patients and the difference among the groups was statistically significant (P = 0.003) (<xref ref-type="table" rid="table3">Table 3</xref>). <xref ref-type="table" rid="table3">Table 3</xref> also shows values of CD4 of the study groups to be as follows: Group A, 446 ul/cells, Group B, 683 ul/cells, and Group C, 206 ul/cells, the difference was statistically significant (P = 0.003).</p><table-wrap id="table1" ><label><xref ref-type="table" rid="table1">Table 1</xref></label><caption><title> Age and sex characteristics of the study population</title></caption><table><tbody><thead><tr><th align="center" valign="middle" ></th><th align="center" valign="middle" >Mean age</th><th align="center" valign="middle" >No. of patients</th><th align="center" valign="middle" >Std. deviation</th><th align="center" valign="middle" >P-value</th></tr></thead><tr><td align="center" valign="middle" >Sex</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Male</td><td align="center" valign="middle" >32.07</td><td align="center" valign="middle" >108 (42.52%)</td><td align="center" valign="middle" >7.79</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Female</td><td align="center" valign="middle" >31.20</td><td align="center" valign="middle" >146 (57.48%)</td><td align="center" valign="middle" >8.57</td><td align="center" valign="middle" >(Z-test) P = 0.004</td></tr><tr><td align="center" valign="middle" >Total</td><td align="center" valign="middle" >31.63</td><td align="center" valign="middle" >250 (100%)</td><td align="center" valign="middle" >8.03</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Regimen group</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Grp 1</td><td align="center" valign="middle" >31.23</td><td align="center" valign="middle" >100 (40.0%)</td><td align="center" valign="middle" >6.83</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Grp 2</td><td align="center" valign="middle" >32.32</td><td align="center" valign="middle" >100 (40.0%)</td><td align="center" valign="middle" >7.32</td><td align="center" valign="middle" >(ANOVA) P = 0.099</td></tr><tr><td align="center" valign="middle" >Grp 3</td><td align="center" valign="middle" >31.34</td><td align="center" valign="middle" >50 (20.0%)</td><td align="center" valign="middle" >6.76</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Total</td><td align="center" valign="middle" >31.63</td><td align="center" valign="middle" >250 (100%)</td><td align="center" valign="middle" >8.01</td><td align="center" valign="middle" ></td></tr></tbody></table></table-wrap><p>Values in parenthesis show the percentage of patients in the study population.</p><table-wrap id="table2" ><label><xref ref-type="table" rid="table2">Table 2</xref></label><caption><title> Mean and median age (months) of patients exposed to ART</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >ART exposure (months)</th><th align="center" valign="middle" >No. of patients</th><th align="center" valign="middle" >Mean age (months)</th><th align="center" valign="middle" >Std. error of mean</th><th align="center" valign="middle" >% of patients</th><th align="center" valign="middle" >Median age (months)</th></tr></thead><tr><td align="center" valign="middle" >N-ART</td><td align="center" valign="middle" >52</td><td align="center" valign="middle" >32.50</td><td align="center" valign="middle" >0.96</td><td align="center" valign="middle" >20.5%</td><td align="center" valign="middle" >31.00</td></tr><tr><td align="center" valign="middle" >1 - 12 months</td><td align="center" valign="middle" >100</td><td align="center" valign="middle" >35.38</td><td align="center" valign="middle" >0.90</td><td align="center" valign="middle" >39.4%</td><td align="center" valign="middle" >34.00</td></tr><tr><td align="center" valign="middle" >13 - 24 months</td><td align="center" valign="middle" >48</td><td align="center" valign="middle" >32.99</td><td align="center" valign="middle" >1.03</td><td align="center" valign="middle" >18.9%</td><td align="center" valign="middle" >32.00</td></tr><tr><td align="center" valign="middle" >25 - 36 months</td><td align="center" valign="middle" >26</td><td align="center" valign="middle" >37.27</td><td align="center" valign="middle" >1.35</td><td align="center" valign="middle" >10.2%</td><td align="center" valign="middle" >37.50</td></tr><tr><td align="center" valign="middle" >&gt;37 months</td><td align="center" valign="middle" >28</td><td align="center" valign="middle" >37.55</td><td align="center" valign="middle" >1.34</td><td align="center" valign="middle" >11.0%</td><td align="center" valign="middle" >35.95</td></tr><tr><td align="center" valign="middle" >Total</td><td align="center" valign="middle" >254</td><td align="center" valign="middle" >34.77</td><td align="center" valign="middle" >0.50</td><td align="center" valign="middle" >100.0%</td><td align="center" valign="middle" >33.10</td></tr></tbody></table></table-wrap><p>ANOVA, P = 0.01 (Significant).</p><table-wrap id="table3" ><label><xref ref-type="table" rid="table3">Table 3</xref></label><caption><title> Association between tubular damage and use of traditional medicine</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  colspan="2"   rowspan="2"  ></th><th align="center" valign="middle"  colspan="3"  >Regimen group</th><th align="center" valign="middle"  rowspan="2"  >Total</th></tr></thead><tr><td align="center" valign="middle" >Grp A</td><td align="center" valign="middle" >Grp B</td><td align="center" valign="middle" >Grp A</td></tr><tr><td align="center" valign="middle"  rowspan="4"  >Tubular damage</td><td align="center" valign="middle" >Absent</td><td align="center" valign="middle" >97 (46.63%)</td><td align="center" valign="middle" >73 (35.10%)</td><td align="center" valign="middle" >38 (18.27%)</td><td align="center" valign="middle" >208 (100)%</td></tr><tr><td align="center" valign="middle" >Present</td><td align="center" valign="middle" >3 (7.14%)</td><td align="center" valign="middle" >27 (64.29%)</td><td align="center" valign="middle" >12 (28.57%)</td><td align="center" valign="middle" >42 (100%)</td></tr><tr><td align="center" valign="middle" >Total</td><td align="center" valign="middle" >100 (40.0%)</td><td align="center" valign="middle" >100 (40.0%)</td><td align="center" valign="middle" >50 (20.0%)</td><td align="center" valign="middle" >250 (100%)</td></tr><tr><td align="center" valign="middle" >CD4 count</td><td align="center" valign="middle" >446 ul/cells</td><td align="center" valign="middle" >683 ul/cells</td><td align="center" valign="middle" >206 ul/cells</td><td align="center" valign="middle" ></td></tr></tbody></table></table-wrap><p>X<sup>2</sup> = 3.52, P = 0.001 (Significant) for renal damage and use of traditional medicine, and X<sup>2</sup> = 3. 205, P = 0.003 (Significant) for use of traditional medi- cine and CD4 counts. Values in parenthesis show percentage of patients.</p></sec><sec id="s4"><title>4. Discussion</title><p>Despite the limited evidence for benefits of traditional medicine as part of HIV treatment, there remains a high frequency of use among people living with HIV [<xref ref-type="bibr" rid="scirp.62624-ref9">9</xref>] [<xref ref-type="bibr" rid="scirp.62624-ref10">10</xref>] . This level of use is likely explained, at least in part, by findings from studies that revealed high self-report scores related to traditional medicine in terms of its contributions to enhancements in quality of life and relief of specific symptoms, including fever, flu, pain, skin irritations, abdominal pain, nausea, diarrhea, pain, quality of sleep, appetite, increasing body weight, depression and other clinical outcomes [<xref ref-type="bibr" rid="scirp.62624-ref11">11</xref>] [<xref ref-type="bibr" rid="scirp.62624-ref12">12</xref>] . In addition, some findings have suggested that traditional medicine can assist in the treatment of comorbidities such as osteoporosis and atherosclerosis [<xref ref-type="bibr" rid="scirp.62624-ref6">6</xref>] . A systematic review found that the only effective traditional medicine interventions for people living with HIV were stress management-based with the rest having insufficient data to support them [<xref ref-type="bibr" rid="scirp.62624-ref9">9</xref>] [<xref ref-type="bibr" rid="scirp.62624-ref13">13</xref>] . Studies have shown that the rates of traditional medicine use in Africa vary among people living with HIV and ranges from 36 to 68% [<xref ref-type="bibr" rid="scirp.62624-ref12">12</xref>] .</p><p>Specifically the use of traditional herbal remedies has been implicated in 35% of all cases of acute renal failure in Africa [<xref ref-type="bibr" rid="scirp.62624-ref14">14</xref>] - [<xref ref-type="bibr" rid="scirp.62624-ref17">17</xref>] . This figure is likely to be an underestimate of the true incidence because of the secrecy surrounding the use of traditional remedies. Mortality in this group of patients ranges from 24% to 75% [<xref ref-type="bibr" rid="scirp.62624-ref1">1</xref>] [<xref ref-type="bibr" rid="scirp.62624-ref15">15</xref>] , but long-term renal outcomes after herbal toxin?associated ARF rarely have been described. In our series of patients study, renal dysfunction was evidence in 42 patients, of which this dysfunction was more prominent in the group of patients treated with ART combined with traditional medicine, 27 (64.29%), second by the group of patients treated with traditional medicine but never exposed to ART, 12 (28.57%) compared to patients on ART only, 3 (7.14%). From our result patients treated with ART combined with traditional medicine have a higher CD4 counts (683 cells/ul) compared to patients on ART only (446 cells/ul). Thus it’s seem that traditional medicine helps boast immunity and but its counter interaction seem to caused renal dysfunction. Again it is assume that the unguided doses of traditional medicine to which these patients are exposed to might likely be the cause of this renal dysfunction. Consequently it is likely that, renal dysfunction might had persisted for several days before presentation.</p></sec><sec id="s5"><title>5. Conclusion</title><p>In conclusion, it is extremely likely that the cause of renal dysfunction in our patients was due to the use of traditional medicine administered as an additional remedy for the treatment of HIV infection. We believe that similar analyses of herbal remedies associated with renal damage would identify potentially toxic substances. The ultimate aim would be to develop a strategy to increase awareness and decrease the use of toxic traditional therapies in the treatment of HIV, reducing the incidence of renal damage and decreasing the demands placed on already toxic traditional therapies.</p></sec><sec id="s6"><title>Acknowledgements</title><p>We thank the study participants; Mr. Kanee Rogers Bariture, for help in manuscript preparation; and Njoku, Bestman, for technical assistance.</p></sec><sec id="s7"><title>Conflict of Interest</title><p>The authors confirm that this article content has no conflicts of interest.</p></sec><sec id="s8"><title>Cite this paper</title><p>NumbaraDeebii,Ezinne JanefrancesNwankwo,Ogechukwu SamuelObi,Mpakaboari TonyeBekinbo, (2016) Evidence of Renal Damage in HIV-Infected Patients with High CD4 Counts Following the Use of Traditional Medicine. Journal of Biosciences and Medicines,04,54-58. doi: 10.4236/jbm.2016.41007</p></sec><sec id="s9"><title>NOTES</title></sec></body><back><ref-list><title>References</title><ref id="scirp.62624-ref1"><label>1</label><mixed-citation publication-type="other" xlink:type="simple">Buchanan, N. and Cane, R.D. (1976) Poisoning Associated with Witchdoctor Attendance. South African Medical Journal, 50, 1138-1140.</mixed-citation></ref><ref id="scirp.62624-ref2"><label>2</label><mixed-citation publication-type="journal" xlink:type="simple"><name name-style="western"><surname>Gold</surname><given-names> C.H. </given-names></name>,<etal>et al</etal>. 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