三级医院学术中心急性肾损伤的季节性:一项观察性队列研究。

Gianmarco Lombardi, Giovanni Gambaro, Nicoletta Pertica, Alessandro Naticchia, Matteo Bargagli, Pietro Manuel Ferraro
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引用次数: 7

摘要

背景:我们研究的目的是描述住院人群急性肾损伤(AKI)的季节性趋势及其与天气条件的关系。方法:我们回顾性收集2010年1月至2014年12月期间Fondazione Policlinico Universitario A. Gemelli IRCCS住院患者的人口统计学(年龄、性别)、临床(诊断出院的ICD-9-CM代码)和实验室数据(肌酐值),纳入所有≥18岁且至少有两个肌酐值的患者。关注的结果是AKI的发展,根据肌酐动力学标准定义。令人感兴趣的是一年中的月份和季节;空气温度和湿度水平也进行了评估。采用校正了年龄、性别、eGFR、合并症、Charlson/Deyo指数评分、住院时间的对数二项回归模型来估计风险比(RR)和95%置信区间(CI)。结果:64,610例患者符合纳入标准。2864例(4.4%)住院患者发生AKI。完全调整后,冬季与AKI风险增加相关(RR 1.16, 95% CI 1.05, 1.29, p=0.003)。较低的空气温度和较高的湿度水平与AKI风险相关,但在多变量调整模型中,只有较高的湿度水平显示出显著且独立的关联。结论:AKI是住院人群中最常见的并发症之一,具有明确的季节性模式,冬季发病率显著增加;天气条件,特别是较高的湿度水平,是AKI的独立预测因子,可以部分证明观测到的季节变化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Seasonality of acute kidney injury in a tertiary hospital academic center: an observational cohort study.

Seasonality of acute kidney injury in a tertiary hospital academic center: an observational cohort study.

Seasonality of acute kidney injury in a tertiary hospital academic center: an observational cohort study.

Seasonality of acute kidney injury in a tertiary hospital academic center: an observational cohort study.

Background: The aim of our study was to describe seasonal trends of acute kidney injury (AKI) and its relationship with weather conditions in a hospitalized population.

Methods: We retrospectively collected demographic (age, sex), clinical (ICD-9-CM codes of diagnosis discharge) and laboratory data (creatinine values) from the inpatient population admitted to Fondazione Policlinico Universitario A. Gemelli IRCCS between January 2010 and December 2014 with inclusion of all patients ≥18 years with at least two values available for creatinine. The outcome of interest was AKI development, defined according to creatinine kinetics criteria. The exposures of interest were the months and seasons of the year; air temperature and humidity level were also evaluated. Log-binomial regression models adjusted for age, sex, eGFR, comorbidities, Charlson/Deyo index score, year of hospitalization were used to estimate risk ratios (RR) and 95% confidential intervals (CI).

Results: A total of 64,610 patients met the inclusion criteria. AKI occurred in 2864 (4.4%) hospital admissions. After full adjustment, winter period was associated with increased risk of AKI (RR 1.16, 95% CI 1.05, 1.29, p=0.003). Lower air temperature and higher humidity level were associated with risk of AKI, however in multivariable-adjusted models only higher humidity level showed a significant and independent association.

Conclusions: AKI is one of the most common complications of hospitalized populations with a defined seasonal pattern and a significant increase in incidence during wintertime; weather conditions, particularly higher humidity level, are independent predictors of AKI and could partially justify the observed seasonal variations.

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