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丹麦国家患者登记处院外和院内心脏骤停算法的有效性。

Validity of out-of-hospital and in-hospital cardiac arrest algorithms in the Danish National Patient Registry.

作者信息

Brodersen Katrine D, Petersen Søren R, Bonnesen Kasper, Terkelsen Christian J, Schmidt Morten

机构信息

Department of Clinical Epidemiology, Aarhus University Hospital and Aarhus University, Olof Palmes Allé 43-45, DK-8200 Aarhus N, Denmark.

Department of Clinical Medicine, Aarhus University, Palle Juul-Jensens Boulevard 99, DK-8200 Aarhus N, Denmark.

出版信息

Resusc Plus. 2024 Dec 28;21:100856. doi: 10.1016/j.resplu.2024.100856. eCollection 2025 Jan.

Abstract

AIMS

Cardiac arrest is registered in the Danish National Patient Registry (DNPR) with the International Classification of Diseases 10 revision code I46. However, it does not distinguish between out-of-hospital cardiac arrest (OHCA) and in-hospital cardiac arrest (IHCA). We validated an algorithm to identify cardiac arrest subtypes (out-of-hospital vs. in-hospital).

METHODS

From Aarhus University Hospital, Denmark, we sampled patients with a primary or secondary cardiac arrest discharge diagnosis during 2019-2023. The algorithm categorized these patients as OHCA if they (1) only had a single department course during their hospitalization or (2) had multiple department courses during their hospitalization but were discharged with a cardiac arrest diagnosis from the first department course. The algorithm categorized the remaining patients as IHCA. We randomly sampled 200 patients with algorithm-based OHCA ( = 100) and IHCA ( = 100). Using medical record review as the reference, we calculated positive predictive values (PPVs) with 95% confidence intervals (CIs).

RESULTS

Cardiac arrest was confirmed in 192 of 200 cases, yielding a PPV for cardiac arrest overall of 96% (95% CI: 92-98%). The PPV was 87% (95% CI: 79-92%) for OHCA and 61% (95% CI: 51-70%) for IHCA. The results were robust in age and sex strata.

CONCLUSIONS

The validity of a cardiac arrest diagnosis in the DNPR was overall high. The algorithm to distinguish cardiac arrest subtypes showed a high PPV for OHCA but a poor PPV for IHCA.

摘要

目的

丹麦国家患者登记处(DNPR)使用国际疾病分类第10版修订代码I46记录心脏骤停。然而,它并未区分院外心脏骤停(OHCA)和院内心脏骤停(IHCA)。我们验证了一种用于识别心脏骤停亚型(院外与院内)的算法。

方法

我们从丹麦奥胡斯大学医院抽取了2019年至2023年期间有原发性或继发性心脏骤停出院诊断的患者。如果患者(1)住院期间仅在一个科室就诊,或(2)住院期间在多个科室就诊,但从首个科室就诊出院时被诊断为心脏骤停,则该算法将这些患者归类为OHCA。该算法将其余患者归类为IHCA。我们随机抽取了200例基于算法的OHCA患者(n = 100)和IHCA患者(n = 100)。以病历审查为参考,我们计算了阳性预测值(PPV)及其95%置信区间(CI)。

结果

200例病例中有192例确诊为心脏骤停,心脏骤停总体PPV为96%(95%CI:92 - 98%)。OHCA的PPV为87%(95%CI:79 - 92%),IHCA的PPV为61%(95%CI:51 - 70%)。结果在年龄和性别分层中具有稳健性。

结论

DNPR中心脏骤停诊断的有效性总体较高。区分心脏骤停亚型的算法对OHCA显示出较高的PPV,但对IHCA的PPV较差。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d3b6/11780140/66a0259d0f26/gr1.jpg

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