SURVIVAL OUTCOMES OF PREVALENT DIALYSIS PATIENTS IN ZIMBABWE

 

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SURVIVAL OUTCOMES OF PREVALENT DIALYSIS PATIENTS IN ZIMBABWE

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Rumbidzai
Dahwa
Rumbidzai Dahwa rfdahwa@gmail.com University of Zimbabwe Faculty of Medicine & Health sciences Harare Zimbabwe * University of New South Wales Faculty of Medicine & Health Sydney Australia The George Institute for Global Health University of New South Wales Sydney Australia
Locadia Rutsito locarumbirutsito@gmail.com University of Zimbabwe Faculty of Medicine & Health sciences Harare Zimbabwe -
Amanda N Siriwardana ASiriwardana@georgeinstitute.org.au The George Institute for Global Health University of New South Wales Sydney Australia - University of Sydney Faculty of Medicine & Health Sydney Australia Royal North Shore Hospital Department of Renal Medicine Sydney Australia
Namrata Nath Kumar nnathkumar@georgeinstitute.org.au The George Institute for Global Health University of New South Wales Sydney Australia -
Martin Gallagher martin.gallagher@unsw.edu.au University of New South Wales Faculty of Medicine & Health, Sydney Australia - The George Institute for Global Health University of New South Wales Sydney Australia Liverpool Hospital Department of Renal Medicine Sydney Australia
 
 
 
 
 
 
 
 
 
 

The prevalence of chronic kidney disease (CKD) and its most advanced form, kidney failure, are rapidly increasing in sub-Saharan Africa (SSA). However, equitable access to kidney replacement therapy to manage kidney failure are lacking in the region, and there is very limited data on survival outcomes among those that manage to access treatment. The Dialysis in Zimbabwe (DIAZ) project was designed to collect and report on prevalence and outcomes of dialysis patients in Zimbabwe. This analysis reports on the survival and other clinical outcomes of prevalent dialysis patients in Zimbabwe. 

The DIAZ project was a prospective observational cohort study that aimed to enrol all prevalent adult patients receiving dialysis in public or private facilities in Zimbabwe as of February 2018. Patients receiving maintenance in-centre haemodialysis (HD) or home-based peritoneal dialysis (PD) were approached for participation over a 4-week period.  All participants provided written consent. A custom-designed questionnaire was administered by study staff in February 2018, with questions directed at participants and additional data collected through medical record review. Subsequent follow-up questionnaires were administered at 3, 6, 12 and 24 months to determine survival and dialysis status.  The primary outcome of this analysis was survival, assessed using Kaplan-Meier analyses. Factors associated with mortality were examined using Cox proportional hazards models. 

Figure 1. Kaplan-Meier survival curve of the overall prevalent dialysis cohort.


A total of 482 prevalent dialysis patients were identified across 16 dialysis units in February 2018 (HD = 457 patients, PD = 25 patients). Of these, 367 patients (HD = 354 patients, PD = 13 patients) consented to participate in the DIAZ project for baseline data collection and follow-up, representing 76% of Zimbabwe’s prevalent dialysis population. Patients were young (mean age 53.1 years), male (65.7%), with a short dialysis vintage (median 1.7 years) and high rates of hypertension (88.6%) and diabetes (37.9%). A total of 137 (37.3%) died within the 24 month follow-up period, 10 patients (2.7%) had recovery of renal function sufficient to cease dialysis and 5 patients (1.4%) underwent kidney transplantation. 

 

The 1-year overall survival was 81.5% (95% confidence interval (CI) 77.5-85.7) and 2-year survival was 58.7% (95% CI 53.4-64.4) shown in Figure 1. Patients with a dialysis vintage >2yrs at baseline had a lower hazard of mortality in both univariate (unadjusted HR 0.66, 95% CI 0.47-0.92) and multivariate analyses (adjusted HR 0.58, 95% CI 0.41-0.83). HIV positive status was associated with a higher hazard of mortality (adjusted HR 1.60, 95% CI 1.01-2.53) in multivariate analysis. Known diabetes was associated with a higher unadjusted hazard of mortality (unadjusted HR 1.46, 95% CI 1.04-2.04); however this association was no longer present in multivariate analysis.


 

 Survival of prevalent dialysis patients in Zimbabwe is broadly similar to other dialysis cohorts in SSA but remains significantly lower than in high-income settings. The high HIV prevalence appears to play a part in this mortality. The paradoxical greater survival of patients with a longer dialysis history may be related to greater access to medical and financial support.  Further work is needed to understand drivers of poor survival and to inform strategies to improve these outcomes.

Kewords