Agreement and comparative accuracy of instability criteria at discharge for predicting adverse events in patients with community-acquired pneumonia.

IF 3.6 3区 医学 Q1 RESPIRATORY SYSTEM
Anne Danjou, Magali Bouisse, Bastien Boussat, Sophie Blaise, Jacques Gaillat, Patrice Francois, Xavier Courtois, Elodie Sellier, Anne-Claire Toffart, Carole Schwebel, Ethan A Halm, José Labarere
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引用次数: 0

Abstract

Objective: Five definitions of clinical instability have been published to assess the appropriateness and safety of discharging patients hospitalised for pneumonia. This study aimed to quantify the level of agreement between these definitions and estimate their discriminatory accuracy in predicting post-discharge adverse events.

Study design and setting: We conducted a retrospective cohort study involving 1038 adult patients discharged alive following hospitalisation for pneumonia.

Results: The prevalence of unstable criteria within 24 hours before discharge was 4.5% for temperature >37.8°C, 13.8% for heart rate >100/min, 1.0% for respiratory rate >24/min, 2.6% for systolic blood pressure <90 mm Hg, 3.3% for oxygen saturation <90%, 5.4% for inability to maintain oral intake and 6.4% for altered mental status. The percentage of patients classified as unstable at discharge ranged 12.8%-41.0% across different definitions (Fleiss Kappa coefficient, 0.47; 95% CI 0.44 to 0.50). Overall, 140 (13.5 %) patients experienced adverse events within 30 days of discharge, including 108 unplanned readmissions (10.4%) and 32 deaths (3.1%). Clinical instability was associated with a 1.3-fold to 2.0-fold increase in the odds of postdischarge adverse events, depending on the definition, with c-statistics ranging 0.54-0.59 (p=0.31).

Conclusion: Clinical instability was associated with higher odds of 30-day postdischarge adverse events according to all but one of the published definitions. This study supports the validity of definitions that combine vital signs, mental status and the ability to maintain oral intake within 24 hours prior to discharge to identify patients at a higher risk of postdischarge adverse events.

预测社区获得性肺炎患者不良事件的出院时不稳定性标准的一致性和比较准确性。
目的:目前已发布了五种临床不稳定性定义,用于评估肺炎患者出院的适当性和安全性。本研究旨在量化这些定义之间的一致程度,并估计它们在预测出院后不良事件方面的鉴别准确性:我们进行了一项回顾性队列研究,涉及 1038 名因肺炎住院后活着出院的成年患者:出院前24小时内不稳定标准的发生率为:体温>37.8°C,4.5%;心率>100/min,13.8%;呼吸频率>24/min,1.0%;收缩压c-统计量为0.54-0.59,2.6%(p=0.31):结论:根据所有已发表的定义,临床不稳定性与出院后 30 天不良事件发生率较高有关,但其中一个定义除外。本研究支持结合生命体征、精神状态和出院前 24 小时内维持口服摄入能力的定义,以识别出院后不良事件风险较高的患者。
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来源期刊
BMJ Open Respiratory Research
BMJ Open Respiratory Research RESPIRATORY SYSTEM-
CiteScore
6.60
自引率
2.40%
发文量
95
审稿时长
12 weeks
期刊介绍: BMJ Open Respiratory Research is a peer-reviewed, open access journal publishing respiratory and critical care medicine. It is the sister journal to Thorax and co-owned by the British Thoracic Society and BMJ. The journal focuses on robustness of methodology and scientific rigour with less emphasis on novelty or perceived impact. BMJ Open Respiratory Research operates a rapid review process, with continuous publication online, ensuring timely, up-to-date research is available worldwide. The journal publishes review articles and all research study types: Basic science including laboratory based experiments and animal models, Pilot studies or proof of concept, Observational studies, Study protocols, Registries, Clinical trials from phase I to multicentre randomised clinical trials, Systematic reviews and meta-analyses.
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