From: Trends in mortality and loss to follow-up in HIV care at the Nkongsamba Regional hospital, Cameroon
Factor | Type of variable and categorisation | Rationale for categorisation |
---|---|---|
Calendar year of entry | Ordered categorical: | Events, program performances usually vary with time |
2005, 2006, 2007, 2008, 2009, 2010 | ||
Current age groups (years) | Ordered categorical: 15 – 24, 25 – 34, 35 – 44 , >45 (using Lexis expansion) | Events vary with age and adjusting for age attained in cohort is more appropriate than by age at entry as this avoids residual confounding |
Gender | Binary: Females, Males | Gender is usually associated with most diseases and thus a strong confounder |
Region or province | Unordered categorical: Littoral, South-West, West, Other | Risk of clustering of events by place of residence |
Marital status | Unordered categorical: Single, Monogamous, polygamous, divorced, widowed | Socio-cultural and economic empowerment is usually differential in African context |
Partner HIV Status | Unordered categorical: Negative | Health seeking behaviour, adherence, treatment success or failure may be determined by partner HIV status, viral load and viral strain |
Positive but not taking ART, Positive and taking ART, Unknown | ||
Occupation | Binary: Lower grade, higher grade | Proxy measure of level of socio-economic status. Grading based on International Standard Classification of Occupations (ISCO) |
Distance(km) | Binary: ≤5, >5 | Usual walking distance within 30 minutes to health facility is 5 km (indicator of accessibility); also reflects the population living in the urban centre and usually accessible to community workers |
Alcohol Intake | Binary: No, Yes | Interaction with drugs, co-morbidity, behaviour change |
Smoking | Binary: No, Yes | Factor of many co-morbid conditions |
WHO Clinical Stage | Ordered categorical: | Risk of death and health care seeking behaviour is influenced by the severity of disease usually; the staging also guides when to start ART |
I = Asymptomatic condition | ||
II = Mild | ||
III = Advanced | ||
IV = Severe | ||
Immune deficiency | Ordered categorical: based on CD4 count | Risk of opportunistic infection and thus death depend on CD4 count; initiation of ART also depends on CD4 count |
None: ≥500 | ||
Mild: 350-499 | ||
Advanced: 200-350 | ||
Severe: <200 | ||
Haemoglobin level (g/dl) | Binary: <10, ≥10 | Cut off point based on the median value in this HIV cohort to define anaemia |
Alanine amino-Transferase, ALAT (IU/l) | Binary: <50 , ≥50 | Cut off point as determined by the hospital laboratory |
Above which indicates liver injury (more specific marker) | ||
Aspartate amino-Transferase, ASAT (IU/l) | Binary: <45, ≥45 | Cut off point as determined the hospital laboratory |
Above which indicates liver injury(less specific marker) | ||
Fasting blood sugar (mg/dl) | Binary: <126, ≥126 | Cut off point above which defines diabetes mellitus |
Creatinine level(mg/l) | Binary: ≤15, >15 | Cut off point as determined the hospital laboratory |
Above which indicates kidney injury | ||
NNRTI Regimen | Binary: EFV(efavirenz)-based, NVP(nevirapine)-based | EFV or NVP is present in all first line regimens; their relative efficacy, tolerance or toxicity may be relevant |
NRTI Regimen | Unordered categorical: ABC(abacavir)/TDF(tenofovir)-based, AZT(zidovudine)-based, | NRTI form the backbone of all first line regimens; while 3TC is invariably present, the relative toxicity, efficacy and tolerance may be relevant to adherence and emergence of drug resistance and thus to Mortality and LTFU |
D4T(stavudine)-based, None (missing value) | ||
Drug Change | Binary: No, Yes | Proxy measure for the presence of drug toxicity (usually) or drug resistance (rarely) |
Cotrimoxazole Prophylaxis | Binary: No, Yes | Measure to prevent common opportunistic infections |