Survival Pattern of Patients on Maintenance Haemodialysis for End Stage Renal Disease in a Nigerian Dialysis Centre

S. Dada, Inubile Aj, A. Thomas, O. E. Dada, A. Ro
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引用次数: 4

Abstract

Background: The increasing incidence and prevalence of chronic kidney disease (CKD) is a serious health challenge globally. The need to examine the longevity of patients with CKD can never be over emphasized. We investigated the survival experience and factors that may contribute to the longevity of chronic kidney disease patient on haemodialysis. Methods: Data for the study were extracted from the record of CKD patient on haemodialysis. Kaplan-Meier survival analysis was done to assess both short- and long-term survival. The impact of six covariates on survival chances were separately investigated using Log-rank test and collectively examined using both Cox and Weibull models. Akaike Information Criterion was then employed for determination of a better model between variables. P-value of <0.05 was considered as statistically significant. Results: The overall median survival time was 182 days. Only 66.3% of all the patients survived their 90th days after starting dialysis and approximately 25% survived to 366 days. The hazard ratios for those patients with family history of chronic kidney disease was 0.45; 95% CI 0.23-0.90 and for those with urinary symptoms was 0.59; 95% CI 0.35-0.99. Model generated imply hi(t)= –5.1499 exp{–0.7850Family His. Of CKDi –0.5353Urinary symptomi}. The age of the patient was also found to be statistically significant when separately investigated. Conclusion: Family history of chronic kidney disease and urinary symptoms were found to influence the survival of patients on haemodialysis. Early identification of at-risk family and prompt treatment of urinary symptoms is advocated.
尼日利亚透析中心终末期肾病患者维持血液透析的生存模式
背景:慢性肾脏疾病(CKD)的发病率和患病率不断上升是全球健康面临的严峻挑战。检查CKD患者寿命的必要性再怎么强调也不为过。我们调查了慢性肾脏病血液透析患者的生存经验和可能影响其寿命的因素。方法:从CKD患者血液透析记录中提取研究数据。Kaplan-Meier生存分析评估短期和长期生存。六个协变量对生存率的影响分别使用Log-rank检验进行调查,并使用Cox和Weibull模型进行集体检验。然后采用赤池信息准则确定变量间更好的模型。p值<0.05为有统计学意义。结果:总中位生存时间为182天。只有66.3%的患者在开始透析后90天存活,约25%的患者存活至366天。有慢性肾脏疾病家族史患者的危险比为0.45;95%可信区间为0.23-0.90,有泌尿系统症状者为0.59;95% ci 0.35-0.99。生成的模型隐含hi(t)= -5.1499 exp{-0.7850Family His。CKDi - 0.5353尿路症状}。在单独调查时,发现患者的年龄也具有统计学意义。结论:慢性肾脏疾病家族史和泌尿系症状影响血液透析患者的生存。提倡早期识别有风险的家庭并及时治疗泌尿系统症状。
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