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    Predictors of hospital survival among patients initiated on hemodialysis at a tertiary hospital

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    Nakabugo_ Katumba_MKPGMS_Inrenal medicine_2024_Dr. Atuhe David Martin.pdf (1.285Mb)
    Date
    2024-06-01
    Author
    Nakabugo, Katumba
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    Abstract
    Introduction: Hemodialysis (HD) is a life-saving treatment for kidney disease patients, but hospital survival rates are poor in low-income countries due to limited resources. Despite this, there is a lack of knowledge on factors affecting hospital survival among HD patients in these countries. This study aimed to identify the hospital survival rates and predictors of hospital survival among HD patients in low-income countries. Methods: We retrospectively analyzed medical records of adult patients who started hemodialysis (HD) at St. Francis Hospital, Nsambya between 2015 and 2022. We included patients aged 18+ years and excluded those with renal transplants, missing records, or early referrals. We collected demographic, clinical, and laboratory data. Survival analysis and Cox regression were used to estimate hospital survival and hazard ratios among variables respectively. Results: We retrieved 172 admission charts of patients initiated on HD, with a 59.3% hospital survival (n=102). Positive predictors of hospital survival included: being male (HR 0.61, p=0.046), prior nephrologist care (HR 0.53, p=0.046), age <60 (HR 0.51, p=0.006), ward admission (HR 0.21, p<0.001), and blood transfusion (HR 0.34, p<0.001). Negative predictors included: reduced consciousness (HR 17.74, p<0.001), mechanical ventilation (HR 2.46, p<0.001), and vasopressor use (HR 2.56, p<0.001) Conclusion: There is a low in-hospital survival rate among patients initiated on HD. Critically ill patients (on ventilation, vasopressors, or with altered consciousness) and those without prior nephrologist care are less likely to survive. Thus, early identification of high risk patients and early referral of kidney patients to nephrologists can improve hospital survival among hemodialysis patients in low-income countries.
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    http://dissertations.umu.ac.ug/xmlui/handle/123456789/818
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