急性呼吸困难患者死亡率的社会经济和临床预测因素。

Open Access Emergency Medicine : OAEM Pub Date : 2021-03-25 eCollection Date: 2021-01-01 DOI:10.2147/OAEM.S277448
Torgny Wessman, Rafid Tofik, Thoralph Ruge, Olle Melander
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引用次数: 0

摘要

背景:预测急性呼吸困难患者长期预后的因素可以指导急性治疗和随访。本研究的目的是确定急诊科收治的急性呼吸困难患者全因死亡率的社会经济和临床危险因素。方法:纳入2013 - 2016年瑞典sk大学医院Malmö急诊科收治的798例急性呼吸困难患者。暴露者生活在移民密集的城市地区Malmö (IDUD),出生国家,年收入,合并症,吸烟习惯,医疗分诊优先级和呼吸困难的严重程度。平均随访时间为2.2年。使用Cox比例风险模型,暴露与全因死亡率风险相关。结果:随访期间死亡40%。在调整了年龄和性别的模型中,年收入低、以前或正在吸烟、某些合并症、医疗分诊优先级高和严重呼吸困难都与死亡率增加显著相关。在调整了年龄、性别和所有重要暴露因素后,收入最低的五分之一、正在吸烟或以前吸烟、严重感染史、贫血、髋部骨折、医疗分诊优先级高和严重呼吸困难显著且独立地预测了死亡率。相比之下,出生国和使用节育器的国家都没有预测死亡风险。结论:除了几个临床危险因素外,低年收入预测急性呼吸困难患者2年死亡风险。对于出生和生活在节育期的国家来说,情况并非如此。我们的结果强调急性呼吸困难患者的死亡危险因素范围广泛。了解患者的年收入以及某些临床特征可能有助于风险分层,并确定在医院和从急诊科出院后是否需要随访。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Socioeconomic and Clinical Predictors of Mortality in Patients with Acute Dyspnea.

Socioeconomic and Clinical Predictors of Mortality in Patients with Acute Dyspnea.

Background: Factors predicting long-term prognosis in patients with acute dyspnea may guide both acute management and follow-up. The aim of this study was to identify socioeconomic and clinical risk factors for all-cause mortality among acute dyspnea patients admitted to an Emergency Department.

Methods: We included 798 patients with acute dyspnea admitted to the ED of Skåne University Hospital, Malmö, Sweden from 2013 to 2016. Exposures were living in the immigrant-dense urban part of Malmö (IDUD), country of birth, annual income, comorbidities, smoking habits, medical triage priority and severity of dyspnea. Mean follow-up time was 2.2 years. Exposures were related to risk of all-cause mortality using Cox proportional hazard model.

Results: During follow-up 40% died. In models adjusted for age and gender, low annual income, previous or ongoing smoking, certain comorbidities, high medical triage priority and severe dyspnea were all significantly associated with increased mortality. After adjusting for age, gender and all significant exposures, the lowest quintile of income, ongoing or previous smoking, history of serious infection, anemia, hip fracture, high medical triage priority and severe dyspnea significantly and independently predicted mortality. In contrast, neither country of birth nor living in IDUD predicted a mortality risk.

Conclusion: Apart from several clinical risk factors, low annual income predicts two-year mortality risk in patients with acute dyspnea. This is not the case for country of birth and living in IDUD. Our results underline the wide range of mortality risk factors in acute dyspnea patients. Knowledge of patients' annual income as well as certain clinical features may aid risk stratification and determining the need of follow-up both in hospital and after discharge from an ED.

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