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Table 4 Predictors of death amongst HIV positive patients (Cox regression analysis)

From: Survival of HIV infected patients on maintenance hemodialysis in Cameroon: a comparative study

Variable Basic models Final models
HRa (95% CIb) p HRa (95% CI) p
Age 1.02 (0.98–1.06) 0.284 1.02 (0.98–1.06) 0.452
Gender (female vs male) 1.00 (0.40–2.52) 0.993 1.09 (0.44–2.72) 0.857
Unemployed 1.24 (0.53–2.89) 0.619 1.95 (0.76–4.97) 0.165
Absence of nephrology follow up before 1st dialysis 1.14 (0.49–2.65) 0.757 0.93 (0.39–2.19) 0.863
Dialysis initiation with a temporary catheter 2.30 (0.31–17.09) 0.417 3.31 (0.42–25.94) 0.254
Hypertension 1.03 (0.43–2.48) 0.949 0.89 (0.33–2.42) 0.825
Diabetes 2.32 (0.87–6.19) 0.094 1.76 (0.64–4.85) 0.271
Hepatitis B 0.52 (0.07–3.90) 0.528 0.21 (0.03–1.81) 0.156
Hepatitis C 1.39 (0.44–4.39) 0.572 1.40 (0.43–4.61) 0.579
No cARTc at dialysis initiation 2.99 (1.27–7.06) 0.012 2.66 (1.09–6.50) 0.031
  1. a HR Hazard ratio, b: Confidence interval, c: cART Combined anti-retroviral treatment
  2. Basic models are adjusted for age, and final models are adjusted for age and all predictors with a p value < 0.1 in the basic models (diabetes, absence of c-ART at dialysis initiation)
  3. Values in bold are significant (p < 0.05)