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预测呼吸困难救护车患者的预后:一项前瞻性队列研究。

Predicting outcome for ambulance patients with dyspnea: a prospective cohort study.

作者信息

Lindskou Tim Alex, Lübcke Kenneth, Kløjgaard Torben Anders, Laursen Birgitte Schantz, Mikkelsen Søren, Weinreich Ulla Møller, Christensen Erika Frischknecht

机构信息

Department of Clinical Medicine Centre for Prehospital and Emergency Research Aalborg University Aalborg Denmark.

Emergency Medical Services North Denmark Region Aalborg Denmark.

出版信息

J Am Coll Emerg Physicians Open. 2020 Apr 1;1(3):163-172. doi: 10.1002/emp2.12036. eCollection 2020 Jun.

DOI:10.1002/emp2.12036
PMID:33000031
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7493583/
Abstract

OBJECTIVE

To validate the discrimination and classification accuracy of a novel acute dyspnea scale for identifying outcomes of out-of-hospital patients with acute dyspnea.

METHODS

Prospective observational population-based study in the North Denmark Region. We included patients from July 1, 2017 to September 24, 2019 assessed as having acute dyspnea by the emergency dispatcher or by emergency medical services (EMS) personnel. Patients rated dyspnea using the 11-point acute dyspnea scale. The primary outcomes were hospitalization >2 days, ICU admission within 48 hours of ambulance run, and 30-day mortality. We used 5-fold cross-validation and area under receiver operating curves (AUC) to assess predictive properties of the acute dyspnea scale score alone and combined with vital data, age, and sex.

RESULTS

We included 3144 EMS patients with reported dyspnea. Median acute dyspnea scale score was 7 (interquartile range 5 to 8). The outcomes were: 1966 (63%) hospitalized, 164 (5%) ICU stay, and 224 (9%) died within 30 days of calling the ambulance. The acute dyspnea scale score alone showed poor discrimination for hospitalization (AUC 0.56, 95% confidence intervals: 0.54-0.58), intensive care unit admission (0.58, 0.53-0.62), and mortality (0.46, 0.41-0.50). Vital signs (respiratory rate, blood oxygen saturation, blood pressure, and heart rate) showed similarly poor discrimination for all outcomes. The combination of [vital signs + acute dyspnea scale score] showed better discrimination for hospitalization, ICU admission, and mortality (AUC 0.71-0.72). Patients not able to report an acute dyspnea scale score worse outcomes on all parameters.

CONCLUSION

The dyspnea scale showed poor accuracy and discrimination when predicting hospitalization, stay at intensive care unit, and mortality on its own. However, the dyspnea scale may be beneficial as performance measure and indicator of out-of-hospital care.

摘要

目的

验证一种新型急性呼吸困难量表对识别院外急性呼吸困难患者预后的鉴别能力和分类准确性。

方法

在丹麦北部地区进行基于人群的前瞻性观察研究。纳入2017年7月1日至2019年9月24日期间经急救调度员或紧急医疗服务(EMS)人员评估为急性呼吸困难的患者。患者使用11点急性呼吸困难量表对呼吸困难进行评分。主要结局为住院时间>2天、救护车出诊后48小时内入住重症监护病房(ICU)以及30天死亡率。我们采用5折交叉验证和受试者操作特征曲线下面积(AUC)来评估单独的急性呼吸困难量表评分以及结合生命体征、年龄和性别后的预测性能。

结果

我们纳入了3144例报告有呼吸困难的EMS患者。急性呼吸困难量表评分中位数为7(四分位间距5至8)。结局如下:1966例(63%)住院,164例(5%)入住ICU,224例(9%)在呼叫救护车后30天内死亡。单独的急性呼吸困难量表评分对住院(AUC 0.56,95%置信区间:0.54 - 0.58)、重症监护病房入住(0.58,0.53 - 0.62)和死亡率(0.46,0.41 - 0.50)的鉴别能力较差。生命体征(呼吸频率、血氧饱和度、血压和心率)对所有结局的鉴别能力同样较差。[生命体征 + 急性呼吸困难量表评分]的组合对住院、ICU入住和死亡率的鉴别能力较好(AUC 0.71 - 0.72)。无法报告急性呼吸困难量表评分的患者在所有参数上的结局更差。

结论

该呼吸困难量表在单独预测住院、入住重症监护病房和死亡率时准确性和鉴别能力较差。然而,该呼吸困难量表作为院外护理的绩效指标可能有益。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e942/7493583/aae3dfc9207d/EMP2-1-163-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e942/7493583/a727f78626db/EMP2-1-163-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e942/7493583/dd50a106b9bb/EMP2-1-163-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e942/7493583/aae3dfc9207d/EMP2-1-163-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e942/7493583/a727f78626db/EMP2-1-163-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e942/7493583/dd50a106b9bb/EMP2-1-163-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e942/7493583/aae3dfc9207d/EMP2-1-163-g003.jpg

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本文引用的文献

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2
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West J Emerg Med. 2019 Mar;20(2):219-227. doi: 10.5811/westjem.2019.1.41244. Epub 2019 Feb 14.
3
Symptom, diagnosis and mortality among respiratory emergency medical service patients.
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Br J Gen Pract. 2025 May 6. doi: 10.3399/BJGP.2024.0538.
4
Advancing a machine learning-based decision support tool for pre-hospital assessment of dyspnoea by emergency medical service clinicians: a retrospective observational study.推进一种基于机器学习的决策支持工具,供紧急医疗服务临床医生用于院前呼吸困难评估:一项回顾性观察研究。
BMC Emerg Med. 2025 Jan 5;25(1):2. doi: 10.1186/s12873-024-01166-9.
5
Final diagnoses and mortality rates in ambulance patients administered nebulized β2-agonists bronchodilators.接受雾化β2受体激动剂支气管扩张剂治疗的救护车患者的最终诊断和死亡率
Intern Emerg Med. 2024 Nov 11. doi: 10.1007/s11739-024-03795-1.
6
Characteristics of low acuity prehospital emergency patients with 48-h mortality, an observational cohort study.48 小时病死率低 acuity 院前急救患者的特征:一项观察性队列研究。
Scand J Trauma Resusc Emerg Med. 2022 Dec 8;30(1):64. doi: 10.1186/s13049-022-01048-8.
7
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6
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7
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Acad Emerg Med. 2017 Mar;24(3):328-336. doi: 10.1111/acem.13118.
8
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9
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10
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