Predictors of in-ICU Mortality among Older Patients with Healthcare-Associated Infection: A Cohort Study

Fereshteh Rezaie, Farahnaz Mohammadi-Shahboulaghi, Reza Fadayevatan, Mohsen Shati, Gholamreza Ghaedamini Harouni
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Abstract

Background: Deaths occur frequently in intensive care units (ICUs), especially in older adults, and healthcare-associated infections (HCAIs) can increase mortality risk in this age range. Identifying the underlying factors that lead to HCAI is crucial for preventing and mitigating the risk of premature deaths. Objectives: This study aimed to identify predictors of in-ICU mortality among older adult patients with HCAI. Methods: This prospective cohort study was conducted in two general hospitals in Tehran, Iran, where 461 individuals aged 60 years and older were meticulously observed over a 6-month in March 2021. Mortality was considered the outcome, and the Apache II questionnaire, the frailty index, and demographic information were completed. The data were analyzed using binary logistic regression with a significance level of P < 0.05. Results: Older adult patients with HCAI had a 77% death rate out of 461 eligible individuals. Half of HCAIs were reported as ventilator-associated pneumonia. The most significant death percentages were observed in Klebsiella (37%) and Acinetobacter (21%). Ventilator-associated pneumonia (OR = 50.90, CI = 1.22 - 214.95), frailty status (OR = 45.94, CI = 17.51 - 120.52), COVID-19 (OR = 2.87, CI = 1.24 - 6.66), Apache-II (OR = 1.192, CI = 1.13 - 1.25) and length of hospital stays (OR = 1.05, CI = 1.02 - 1.07) significantly predicted mortality in older adult patients with HCAI. Conclusions: The mortality of older adults with HCAI is affected by factors such as Ventilator-associated pneumonia, frailty, COVID-19, disease severity, and length of hospital stay. Identifying risk factors for mortality is helpful for treatment planning, resource allocation, and identifying at-risk patients.
老年保健相关感染患者icu内死亡率的预测因素:一项队列研究
背景:重症监护病房(icu)经常发生死亡,尤其是老年人,医疗保健相关感染(HCAIs)可增加该年龄段的死亡风险。确定导致卫生保健人工智能的潜在因素对于预防和减轻过早死亡风险至关重要。目的:本研究旨在确定老年HCAI患者icu内死亡率的预测因素。方法:这项前瞻性队列研究在伊朗德黑兰的两家综合医院进行,于2021年3月对461名60岁及以上的个体进行了为期6个月的仔细观察。死亡率被认为是结果,并完成Apache II问卷、虚弱指数和人口统计信息。数据分析采用二元logistic回归,显著性水平为P <0.05. 结果:461例符合条件的老年HCAI患者死亡率为77%。半数hcai报告为呼吸机相关性肺炎。致死率最高的是克雷伯菌(37%)和不动杆菌(21%)。呼吸机相关肺炎(OR = 50.90, CI = 1.22 ~ 214.95)、虚弱状态(OR = 45.94, CI = 17.51 ~ 120.52)、COVID-19 (OR = 2.87, CI = 1.24 ~ 6.66)、Apache-II (OR = 1.192, CI = 1.13 ~ 1.25)和住院时间(OR = 1.05, CI = 1.02 ~ 1.07)显著预测老年HCAI患者的死亡率。结论:老年人HCAI的死亡率受呼吸机相关性肺炎、虚弱、COVID-19、疾病严重程度和住院时间等因素的影响。确定死亡率的危险因素有助于制定治疗计划、资源分配和识别高危患者。
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