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1.
Trop Med Int Health ; 16(11): 1372-9, 2011 Nov.
Article in English | MEDLINE | ID: mdl-21883724

ABSTRACT

OBJECTIVES: Total lymphocyte counts (TLC) may be used as an alternative for CD4 cell counts to monitor HIV infection in resource-limited settings, where CD4 cell counts are too expensive or not available. METHODS: We used prospectively collected patient data from an urban HIV clinic in Indonesia. Predictors of mortality were identified via Cox regression, and the relation between TLC and CD4 cell counts was calculated by linear regression. Receiver operating characteristics (ROC) curves were used to choose the cut-off values of TLC corresponding with CD4 cell counts <200 and ≤350 cells/µl. Based on these analyses, we designed TLC-based treatment algorithms. RESULTS: Of 889 antiretroviral treatment (ART)-naïve subjects included, 66% had CD4 cell counts <200 and 81% had 350 ≤ cells/µl at baseline. TLC and CD4 cell count were equally strong predictors of mortality in our population, where ART was started based on CD4 cell count criteria. The correlation coefficient (R) between TLC and √CD4 was 0.70. Optimal cut-off values for TLC to identify patients with CD4 cell counts <200 and ≤350 cells/µl were 1500 and 1700 cells/µl, respectively. Treatment algorithms based on a combination of TLC, gender, oral thrush, anaemia and body mass index performed better in terms of predictive value than WHO staging or TLC alone. In our cohort, such an algorithm would on average have saved $14.05 per patient. CONCLUSION: Total lymphocyte counts is a good marker for HIV-associated mortality. Simple algorithms including TLC can prioritize patients for HIV treatment in a resource-limited setting, until affordable CD4 cell counts will be universally available.


Subject(s)
Antiretroviral Therapy, Highly Active/methods , Biomarkers , HIV Infections/mortality , Lymphocyte Count , Adult , Antiretroviral Therapy, Highly Active/economics , CD4 Lymphocyte Count , Cohort Studies , Female , HIV Infections/drug therapy , HIV Infections/immunology , Humans , Indonesia , Male , Predictive Value of Tests , Regression Analysis , Young Adult
2.
JAMA ; 291(21): 2607-15, 2004 Jun 02.
Article in English | MEDLINE | ID: mdl-15173152

ABSTRACT

CONTEXT: The proportion of paratyphoid fever cases to typhoid fever cases may change due to urbanization and increased dependency on food purchased from street vendors. For containment of paratyphoid a different strategy may be needed than for typhoid, because risk factors for disease may not coincide and current typhoid vaccines do not protect against paratyphoid fever. OBJECTIVE: To determine risk factors for typhoid and paratyphoid fever in an endemic area. DESIGN, SETTING, AND PARTICIPANTS: Community-based case-control study conducted from June 2001 to February 2003 in hospitals and outpatient health centers in Jatinegara district, Jakarta, Indonesia. Enrolled participants were 1019 consecutive patients with fever lasting 3 or more days, from which 69 blood culture-confirmed typhoid cases, 24 confirmed paratyphoid cases, and 289 control patients with fever but without Salmonella bacteremia were interviewed, plus 378 randomly selected community controls. MAIN OUTCOME MEASURES: Blood culture-confirmed typhoid or paratyphoid fever; risk factors for both diseases. RESULTS: In 1019 fever patients we identified 88 (9%) Salmonella typhi and 26 (3%) Salmonella paratyphi A infections. Paratyphoid fever among cases was independently associated with consumption of food from street vendors (comparison with community controls: odds ratio [OR], 3.34; 95% confidence interval [CI], 1.41-7.91; with fever controls: OR, 5.17; 95% CI, 2.12-12.60) and flooding (comparison with community controls: OR, 4.52; 95% CI, 1.90-10.73; with fever controls: OR, 3.25; 95% CI, 1.31-8.02). By contrast, independent risk factors for typhoid fever using the community control group were mostly related to the household, ie, to recent typhoid fever in the household (OR, 2.38; 95% CI, 1.03-5.48); no use of soap for handwashing (OR, 1.91; 95% CI, 1.06-3.46); sharing food from the same plate (OR, 1.93; 95% CI, 1.10-3.37), and no toilet in the household (OR, 2.20; 95% CI, 1.06-4.55). Also, typhoid fever was associated with young age in years (OR, 0.96; 95% CI, 0.94-0.98). In comparison with fever controls, risk factors for typhoid fever were use of ice cubes (OR, 2.27; 95% CI, 1.31-3.93) and female sex (OR, 1.79; 95% CI, 1.04-3.06). Fecal contamination of drinking water was not associated with typhoid or paratyphoid fever. We did not detect fecal carriers among food handlers in the households. CONCLUSIONS: In Jakarta, typhoid and paratyphoid fever are associated with distinct routes of transmission, with the risk factors for disease either mainly within the household (typhoid) or outside the household (paratyphoid).


Subject(s)
Paratyphoid Fever/epidemiology , Typhoid Fever/epidemiology , Adolescent , Adult , Aged , Case-Control Studies , Child , Child, Preschool , Family Characteristics , Female , Food Handling , Humans , Indonesia/epidemiology , Infant , Male , Middle Aged , Paratyphoid Fever/transmission , Population Surveillance , Risk Factors , Typhoid Fever/transmission , Water Supply
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