Correlation of WHO clinical staging with CD4 counts in adult HIV/AIDS patients at Kenyatta National Hospital, Nairobi.

OBJECTIVE: To determine the degree of correlation between the WHO clinical staging and CD4 T-cell counts in HIV/AIDS adults at Kenyatta National Hospital, Nairobi. DESIGN: Cross-sectional study. SETTING: Kenyatta National Hospital, Nairobi. SUBJECTS: One hundread and fifty two newly diagnosed HIV patients were recruited prospectively. Patients were first staged using the 2005 WHO clinical staging and then blood drawn for CD4 cell count. RESULTS: The mean age in the study was 35 years, with females comprising 52.6% of the study group. The mean CD4 counts were 455, 420, 203 and 92 for WHO Stage 1, 2, 3 and 4 respectively. The sensitivity of the WHO clinical staging to predict CD4 counts of > 350 cells/microl was 63% with a specificity of 82%. The most common HIV clinical events were bacterial infections (33%), severe weight loss (28%) and tuberculosis (27%). CONCLUSIONS: There was correlation between the WHO clinical staging and expected CD4 T-cell count. However, the sensitivity was low and missed over a third of the patients in need of HAART. Majority of the patients presented in severe disease in need of HAART at the onset of their HIV diagnosis with 107 (70.3%) of the patients with Stage 3 or 4 disease and 114 (75%) of patients with CD4 counts of < 350 cells/microl.

Tuberculosis risk among staff of a large public hospital in Kenya.

SETTING: In sub-Saharan Africa, high rates of tuberculosis (TB) and human immunodeficiency virus (HIV) infection pose a serious threat for occupationally acquired TB among health care workers. OBJECTIVE: To identify factors associated with TB disease among staff of an 1800-bed hospital in Kenya. DESIGN: We calculated TB incidence among staff and conducted a case-control study where cases (n = 65) were staff diagnosed with TB and controls (n = 316) were randomly selected staff without recent TB. RESULTS: The annual incidence of TB from 2001 to 2005 ranged from 645 to 1115 per 100000 population. Factors associated with TB disease were additional daily hours spent in rooms with patients (adjusted odds ratio [aOR] 1.3, 95%CI 1.2-1.5), working in areas where TB patients received care (aOR 2.1, 95%CI 1.1-4.2), HIV infection (aOR 29.1, 95%CI 5.1-167) and living in a slum (aOR 4.7, 95%CI 1.8-12.5) or hospital-provided low-income housing (aOR 2.6, 95%CI 1.2-5.6). CONCLUSION: Hospital exposures were associated with TB disease among staff at this hospital regardless of their job designation, even after controlling for living conditions, suggesting transmission from patients. Health care facilities should improve infection control practices, provide quality occupational health services and encourage staff testing for HIV infection to address the TB burden in hospital staff.