Surasura Arun, Siva Krishna Pavan Kumar Bobbadi Gajendra, Chinamanagonda Sravani, Durga Divya, Gubbala Sahithi
Internal Medicine, NRI Medical College and General Hospital, Guntur, IND.
Internal Medicine, NRI Academy of Medical Sciences, Guntur, IND.
Cureus. 2024 May 2;16(5):e59524. doi: 10.7759/cureus.59524. eCollection 2024 May.
Hospital readmissions among chronic kidney disease (CKD) patients pose substantial challenges in healthcare, impacting both patients and healthcare systems. Understanding the patterns and determinants of CKD-related readmissions is crucial for devising effective interventions.
This research aimed to investigate the factors contributing to hospital readmissions among CKD patients, identify the primary reasons for readmissions, and explore potential interventions to mitigate readmission risks.
A retrospective analysis was conducted among a cohort of 300 CKD patients over an 18-month period at a tertiary care unit specializing in nephrology services. Data on demographics, CKD stages, comorbidities, reasons for readmissions, and lengths of hospital stays were analyzed. Logistic regression models were employed to identify predictors of readmissions.
Advancing CKD stages were associated with increased readmission rates, with higher rates observed in older patients. Cardiovascular complications and acute kidney injury were prominent reasons for readmissions. Age, comorbid conditions, and previous hospitalizations emerged as significant predictors of readmissions. Lengths of hospital stays during readmissions were also correlated with CKD stages.
The research underscores the complex interplay of demographic and clinical factors contributing to hospital readmissions among CKD patients. Tailored interventions addressing disease severity, comorbidities, and patient-specific characteristics are pivotal in reducing readmission risks and enhancing care outcomes for this population.
慢性肾脏病（CKD）患者的医院再入院给医疗保健带来了重大挑战，对患者和医疗系统都产生了影响。了解CKD相关再入院的模式和决定因素对于制定有效的干预措施至关重要。
本研究旨在调查导致CKD患者医院再入院的因素，确定再入院的主要原因，并探索减轻再入院风险的潜在干预措施。
在一家专门提供肾脏病服务的三级护理单位，对300名CKD患者进行了为期18个月的队列回顾性分析。分析了人口统计学、CKD分期、合并症、再入院原因和住院时间的数据。采用逻辑回归模型确定再入院的预测因素。
CKD分期进展与再入院率增加相关，老年患者的再入院率更高。心血管并发症和急性肾损伤是再入院的主要原因。年龄、合并症和既往住院史是再入院的重要预测因素。再入院期间的住院时间也与CKD分期相关。
该研究强调了人口统计学和临床因素在CKD患者医院再入院中的复杂相互作用。针对疾病严重程度、合并症和患者特定特征的量身定制干预措施对于降低再入院风险和改善该人群的护理结果至关重要。
