RESEARCHTable 1. Description of studies included in analysis of hepatitis virus seroprevalence, Malawi, 1989–2008*Study name,period (reference) Study site/setting Study typeStudypopulationHIVstatusAims of studyICAR,1989–1994(21,22)Queen Elizabeth CentralHospital, Blantyre/urbanObservationalcohortPregnant andpostpartum+/– Assess adverse pregnancy outcomes andrates of mother-to-child transmission ofSUCOMA, 1998(23)NVAZ, 2000–2004(24)MWANZA, 2001(T.E. Taha, unpub.data)METRO, 2003–2005 (25)PEPI, 2004–2008(26)Nchalo District, sugarestate/rural, occupationalQueen Elizabeth CentralHospital, Blantyre/urbanMwanza District/ruralQueen Elizabeth CentralHospital; health centers inBlantyre/urbanQueen Elizabeth CentralHospital; health centers inBlantyre/urbanObservationalsurveyRandomizedclinical trialObservationalsurveyRandomizedclinical trialRandomizedclinical trialwomenHIVAdult men +/– Identify epidemiologic and biologicdeterminants of HIV infection in anoccupational male cohortPregnantwomenAdult men andwomenAdult women(nonpregnant)Pregnantwomen+ Assess efficacy of short antiretroviralpost-exposure prophylaxis to preventmother to child transmission of HIV+/– Assess risk factors associated withprevalent HIV infection in a rural areaadjacent to the borders with Mozambique+/– Assess the efficacy of intermittentintravaginal metronidazole gel use inreducing bacterial vaginosis infection+ Assess efficacy of extended antiretroviralpostexposure prophylaxis to preventmother to child transmission of HIV*ICAR, International Collaborations on AIDS Research; SUCOMA, a study of HIV prevalence among male workers for the Sugar Company of Malawi;NVAZ, a study of efficacy of nevirapine/zidovudinel postexposure prophylaxis to prevent mother-to-child transmission of HIV; MWANZA, a study of riskfactors associated with prevalent HIV infection in the rural town of Malawi; METRO, a study in which efficacy of intravaginal metronidazole gel in reducingbacterial vaginosis was assessed; PEPI, a study of antiretroviral postexposure prophylaxis to prevent mother to child transmission of HIV.regression to estimate adjusted odds ratios. Because of differencesin follow-up periods and inconsistencies in availabilityof comparable data, we used baseline data for allcovariates, regardless of whether an enrollment or followupsample was used for the hepatitis testing. A p value of≤0.05 was considered statistically significant. Analysis wasperformed by using Stata <strong>version</strong> 11.2 (StataCorp LLC,College Station, TX, USA).Previous data on the prevalence of hepatitis E in Malawiwas not available. To estimate an appropriate samplesize for this analysis, a conservative prediction of 2%prevalence was used. A sample size of 800 was determinedto enable detection of a prevalence of 2% with aprecision of 1% (28).ResultsTable 2 shows the distribution of hepatitis seropositivityoverall and across main exposure variables. Overall,132 (16.5%) of 800 samples tested positive for HEV antibodies.The overall seroprevalence of HAV antibodies,HBsAg and HCV antibodies in samples collected fromdifferent populations in Malawi was 99.6%, 7.5%, and7.1%, respectively (Table 2). HEV seroprevalence washigher among HIV-uninfected (20.2%) than among HIVinfected(12.9%) persons, and HCV seroprevalence washigher among male (10.2%) than female (5.6%) (p
Seroprevalence of Hepatitides, MalawiTable 2. Prevalence of anti-HEV IgG, total anti-HAV Ig, HBsAg, and total anti-HCV Ig in Malawi*HEV HAV HBsAg HCVCharacteristicNo.positive/no.tested% Positive(95% CI)No.positive/no.tested% Positive(95% CI)No.positive/no.tested% Positive(95% CI)No.positive/no.tested% Positive(95% CI)Total cohort 132/800 16.5(13.9–19.1)777/780 99.6(99.2–100.0)58/773 7.5(5.6–9.4)55/779 7.1(5.3–8.9)HIV statusNegative 80/397 20.2(16.2–24.1)390/391 99.7(99.2–100.0)32/388 8.2(5.5–11.0)29/394 7.4(4.8–10.0)Positive 52/403 12.9(9.6–16.2)387/389 99.5(98.8–100.0)26/385 6.8(4.2–9.3)26/385 6.8(4.2–9.3)SexM 45/246 18.3(13.4–23.2)244/245 99.6(98.8–100.0)25/245 10.2(6.4–14.0)25/245 10.2(6.4–14.0)F 87/554 15.7(12.7–18.7)533/535 99.6(99.1–100.0)33/528 6.3(4.2–8.3)30/534 5.6(3.7–7.6)Study, periodICAR,1989–19956/70 8.6(1.8–15.3)70/70 100.0 0/70 0.0 2/70 2.9(1.1–6.9)SUCOMA,1994–199937/178 20.8(14.8–26.8)176/177 99.4(98.3–100.0)21/178 11.8(7.0–16.6)19/178 10.7(6.1–15.3)NVAZ,2000–200319/165 11.5(6.6–16.4)157/157 100.0 6/156 3.9(0.8–6.9)8/148 5.4(1.7–9.1)MWANZA,200113/100 13.0(6.3–19.7)99/99 100.0 7/98 7.1(2.0–12.3)9/99 9.1(3.3–14.9)METRO,2003–200539/148 26.4(19.2–33.5)141/142 99.3(97.9–100.0)8/137 5.8(1.9–9.8)9/146 6.2(2.2–10.1)PEPI,2004–200918/139 12.9(7.3–18.6)134/135 99.3(97.8–100.0)16/134 11.9(6.4–17.5)8/138 5.8(1.8–9.7)Age range, y15–19 15/77 19.5(10.4–28.5)75/75 100.0 5/76 6.6(0.9–12.3)6/75 8.0(1.7–14.3)20–29 72/438 16.4(13.0–19.9)424/426 99.5(98.9–100.0)33/420 7.9(5.3–10.4)30/424 7.1(4.6–9.5)30–39 28/191 14.7(9.6–19.7)185/186 99.5(98.4–100.0)12/184 6.5(2.9–10.1)12/186 6.5(2.9–10.0)40–49 7/60 11.7(3.3–20.0)59/59 100.0 3/59 5.1(0.7 to 10.9)3/60 5.0(0.7 to 10.7)50–59 6/18 33.3(9.2–57.5)18/18 100.0 2/18 11.1(5.0 to 27.2)2/18 11.1(5.0 to 27.2)60–69 2/4 50.0(41.9 to141.9)4/4 100.0 4/4 100.0 1/4 25.0(54.6 to104.6)*HEV, hepatitis E virus; HAV, hepatitis A virus; HBsAg, hepatitis B surface antigen; HCV, hepatitis C virus; ICAR, International Collaborations on AIDS Research;SUCOMA, a study of HIV prevalence among male workers for the Sugar Company of Malawi; NVAZ, a study of efficacy of nevirapine/zidovudinel postexposureprophylaxis to prevent mother-to-child transmission of HIV; MWANZA, a study of risk factors associated with prevalent HIV infection in the rural town of Malawi;METRO, a study in which efficacy of intravaginal metronidazole gel in reducing bacterial vaginosis was assessed; PEPI, a study of antiretroviral postexposureprophylaxis to prevent mother to child transmission of HIV.significantly more likely to be positive for HEV antibodiescompared with participants in the ICAR earlier study(1989–1994) (OR 2.80 and 3.82, p = 0.03 and 0.004, respectively).In the multivariate analysis, only the METROstudy year (2003–2005) remained statistically significantafter adjusting for other variables included in Table 3 (p= 0.01 for METRO study). Although not statistically significantin the multivariate analysis, participants who testedHIV-positive and those who reported having running waterin the house were less likely to be seropositive for HEV antibodiesin the univariate analyses (HIV-positive OR 0.59,p = 0.01; have running water OR 0.61, p = 0.06).HAV seroprevalence was high, and the distributionwas comparable across all variables and strata ofeach covariate; therefore, no associations of HAV withcovariates included in this study were observed in bothunivariate and multivariate analyses. Table 4 shows theunivariate, unadjusted ORs for HBsAg and HCV. Participantsin the Nevirapine-Zidovudine (NVAZ) study wereless likely to be positive for HBsAg than participants inthe ICAR study (OR 0.30, p = 0.01 [21,22]). Residentsof urban areas also had lower odds for testing positivefor HBsAg compared with residents of rural areas (OR0.57, p = 0.04), and female participants were less likely totest positive than male participants (OR 0.59, p = 0.05).A statistically nonsignificant trend of increasing odds ofHBsAg over time on the basis of enrollment calendaryear in the parent study is also shown in Table 4 (OR1.07, p = 0.06). The univariate analysis of HCV associationwith the risk factors listed in Table 3 showed thatfemale participants had statistically significantly lowerodds of being seropositive for HCV compared with maleEmerging Infectious Diseases • www.cdc.gov/eid • Vol. 21, No. 7, July 2015 1177
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July 2015SynopsisOn the CoverMarian
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1240 Gastroenteritis OutbreaksCause
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SYNOPSISDisseminated Infections wit
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