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Introduction: CKD5D is a high risk subgroup with high comorbidity burden, need for frequent visits to dialysis centre and a compromised immune system. The effect of SARS COV2 virus on this population is not well known. Methods: This prospective study enrolled, all CKD5D with COVID 19 infection, admitted to our hospital, from 23rd April to 30th June 2020 & whose outcome as discharge/mortality was known. Their clinical profile, investigations, treatment and outcome in terms of mortality or discharge after clearing infection was noted and analysed. Results: Total 203 dialysis patients with COVID 19 were referred to our institute. Of these total, 131 were analysed. Median age was 50 years (19-80 years) with 57% were males. Hypertension (76%) was the commonest comorbidity followed by diabetes (29%) and coronary artery disease (22%). Dyspnoea, fever and cough were present in 50%, 40%, and 33% patients respectively. 26% were asymptomatic. None had dialyser clotting. Mortality was 20.6%. Time to turn RT PCR negative was 14 days (3-40 days). Comparing deceased vs survivors: Age [56 vs 49 yrs], diabetes [56% vs 22%], duration of symptoms at admission [5 vs 4 days], dyspnea [85% vs 40%] and encephalopathy [30% vs 1%] at admission, bilateral opacities on Chest X ray [93% vs 20%] and high leucocyte count [11,059 ± 5,929 vs 7,022 ± 2,935/cmm] were statistically significant variables associated with mortality. Conclusion: Asymptomatic group was 26% of the total CKD5D with COVID 19 infection population analysed. Mortality was 20.61%. Higher age, later presentation to hospital, diabetes, dyspnoea, & encephalopathy at presentation, bilateral opacities on Chest X- Ray & higher leukocyte counts were significantly associated with mortality. [ABSTRACT FROM AUTHOR]

Introduction: Clinical parameters especially co-morbidities among end stage renal disease (ESRD) patients are associated with mortality. This study aims to determine the risk factors that are associated with mortality within three years among prevalent patients with ESRD. Methods: This is a cohort study where prevalent ESRD patients' details were recorded between May 2012 and October 2012. Their records were matched with national death record at the end of year 2015 to identify the deceased patients within three years. Four models were formulated with two models were based on logistic regression models but with different number of predictors and two models were developed based on risk scoring technique. The preferred models were validated by using sensitivity and specificity analysis. Results: A total of 1332 patients were included in the study. Majority succumbed due to cardiovascular disease (48.3%) and sepsis (41.3%). The identified risk factors were mode of dialysis (P < 0.001), diabetes mellitus (P < 0.001), chronic heart disease (P < 0.001) and leg amputation (P = 0.016). The accuracy of four models was almost similar with AUC between 0.680 and 0.711. The predictive models from logistic regression model and risk scoring model were selected as the preferred models based on both accuracy and simplicity. Besides the mode of dialysis, diabetes mellitus and its complications are the important predictors for early mortality among prevalent ESRD patients. Conclusions: The models either based on logistic regression or risk scoring model can be used to screen high risk prevalent ESRD patients. [ABSTRACT FROM AUTHOR]