Department of Medicine, University of Otago, Wellington, New Zealand.
Department of Medicine, Faculty of Medicine, Thammasat University, Pathumthani, Thailand.
Int J Rheum Dis. 2022 Feb;25(2):154-162. doi: 10.1111/1756-185X.14250. Epub 2021 Nov 18.
This study aims to explore the association between inpatient gout flare-related variables and the length of stay (LOS) in hospitalized people with comorbid gout.
Using data from the Aotearoa/New Zealand national data collections, this cohort study included adults with comorbid gout who were admitted to publicly funded hospitals during 2017 for reasons other than gout. The primary outcome was LOS. Association between 20 variables and the LOS was explored using two generalized linear models. Directed acyclic graph (DAG) was constructed to evaluate the causal relationship between pre-admission urate lowering therapy (ULT) and LOS.
The cohort included 36 047 admissions. We identified five variables associated with shorter LOS (pre-admission regular urate-lowering therapy (ULT), serum urate testing, male gender, Māori ethnicity and low-dose aspirin) and seven variables associated with longer LOS (M3 multimorbidity index, acute admission, operation, loop diuretics, potassium-sparing diuretics, NSAIDs, and age). Regular ULT had the strongest impact on shorter LOS (10% shorter). The model estimated an additional four days of hospitalization if the patient had multiple variables associated with longer LOS. DAG suggested a causal relationship between regular ULT and LOS under the condition that all unobserved confounders affected only ULT use, with no impact on in-hospital gout flares and/or LOS except through its influence on ULT use or as mediator of confounders that were observed.
We have identified a set of gout flare-related variables found to be associated with LOS in hospitalized people with comorbid gout. Pre-admission ULT may help reduce the LOS in such patients.
本研究旨在探讨住院痛风发作相关变量与合并痛风患者住院时间(LOS)之间的关系。
本队列研究使用来自新西兰的数据,纳入了 2017 年因非痛风原因住院的合并痛风的成年人。主要结局为 LOS。使用两个广义线性模型探讨了 20 个变量与 LOS 的关系。构建有向无环图(DAG)以评估降尿酸治疗(ULT)与 LOS 之间的因果关系。
该队列包括 36047 例住院患者。我们确定了五个与 LOS 缩短相关的变量(入院前定期 ULT、尿酸检测、男性、毛利族裔和小剂量阿司匹林)和七个与 LOS 延长相关的变量(M3 合并症指数、急性入院、手术、袢利尿剂、保钾利尿剂、非甾体抗炎药和年龄)。定期 ULT 对 LOS 缩短的影响最大(缩短 10%)。如果患者有多个与 LOS 延长相关的变量,该模型估计会增加住院 4 天。DAG 表明,在所有未观察到的混杂因素仅影响 ULT 使用的情况下,定期 ULT 与 LOS 之间存在因果关系,除了通过影响 ULT 使用或作为观察到的混杂因素的中介之外,不会对住院内痛风发作和/或 LOS 产生影响。
我们已经确定了一组与合并痛风患者住院时间相关的痛风发作相关变量。入院前 ULT 可能有助于缩短此类患者的 LOS。