丹麦全国患者登记册中成年患者肥厚型心肌病诊断的有效性。

IF 3.4 2区 医学 Q1 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH Clinical Epidemiology Pub Date : 2024-10-22 eCollection Date: 2024-01-01 DOI:10.2147/CLEP.S467341
Tino Severinsen, Helga Lillian Gudmundsdottir, Anna Axelsson Raja, Emil Loldrup Fosbøl, Henning Bundgaard, Jens Jakob Thune
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引用次数: 0

摘要

目的:评估丹麦全国患者登记册(DNPR)中肥厚型心肌病(HCM)诊断代码的阳性预测值(PPV),并确定影响PPV的因素:我们在 2017 年 12 月 1 日至 2021 年 9 月 16 日期间,从丹麦东部随机抽取了 200 名在 DNPR 中登记、诊断代码为 DI421(阻塞性)或 DI422(非阻塞性)HCM 的患者。我们评估了患者的病历,并根据欧洲心脏病学会(ESC)指南对 HCM 诊断是否正确、错误或不确定进行了分类。我们估算了所有医院(不分专科)和专门的遗传性心脏病中心的总体PPV:在200名患者中,有7名患者被排除在外;其中6名患者最初确诊时年龄小于18岁,1名成年患者要求不提供其医疗记录用于研究目的。在有医疗记录可供评估的 193 名患者(中位数年龄 61 岁,四分位距 (IQR) 50-70,女性占 40%)中,148 名(77%)患者登记正确,41 名(21%)登记错误,4 名(2%)患者数据不足,无法确定诊断是否正确。总体 PPV 为 0.77(95% 置信区间 (CI):0.70-0.82)。在专门的遗传性心脏病中心确诊的患者的 PPV 为 0.91(95% 置信区间为 0.84-0.95)。对于在遗传性心脏病专科中心确诊并接受过一次以上临床检查的患者,PPV 增加到 0.99(95% CI 0.93-1),但灵敏度有可能降低,因为这些患者仅占正确登记患者的 52%:结论:DNPR 中 HCM 诊断代码的总体 PPV 为 0.77(95% CI 0.70-0.82)。在专门的遗传性心脏病中心,诊断的有效性更高。这些发现可能对未来基于登记册的研究有用。
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Validity of a Hypertrophic Cardiomyopathy Diagnosis in Adult Patients in the Danish National Patient Register.

Purpose: To assess the positive predictive value (PPV) of the diagnostic codes for hypertrophic cardiomyopathy (HCM) in the Danish National Patient Register (DNPR) and identify factors affecting the PPV.

Patients and methods: We randomly sampled 200 patients registered in DNPR with the diagnostic codes DI421 (obstructive) or DI422 (non-obstructive) HCM, from Eastern Denmark, between December 1st, 2017, and September 16th, 2021. We assessed patients' medical records and classified whether the diagnosis of HCM was correct, incorrect, or uncertain according to the European Society of Cardiology (ESC) guidelines. Overall PPVs were estimated for all hospitals irrespective of specialty and for dedicated centers for inherited cardiac diseases.

Results: Of the 200 patients, seven were excluded; six were younger than 18 years when initially diagnosed and one adult patient had requested that their medical records be unavailable for research purposes. Of the 193 patients (median age 61 years, Interquartile range (IQR) 50-70, 40% female) with medical records available for assessment, 148 (77%) patients were registered correctly, 41 (21%) were incorrectly registered and for four (2%) patients there was insufficient data to determine if the diagnosis was correct. The overall PPV was 0.77 (95% confidence interval (CI) 0.70-0.82). The PPV for patients diagnosed in dedicated centers for inherited cardiac diseases was 0.91 (95% CI 0.84-0.95). For patients diagnosed in a dedicated center for inherited cardiac diseases with more than one clinical visit, the PPV increased to 0.99 (95% CI 0.93-1), however with the risk of a reduced sensitivity as these patients constituted only 52% of the correctly registered patients.

Conclusion: The overall PPV of the HCM diagnostic codes in the DNPR was 0.77 (95% CI 0.70-0.82). The validity of the diagnosis was higher at dedicated centers for inherited cardiac diseases. These findings may prove useful for future register-based research.

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来源期刊
Clinical Epidemiology
Clinical Epidemiology Medicine-Epidemiology
CiteScore
6.30
自引率
5.10%
发文量
169
审稿时长
16 weeks
期刊介绍: Clinical Epidemiology is an international, peer reviewed, open access journal. Clinical Epidemiology focuses on the application of epidemiological principles and questions relating to patients and clinical care in terms of prevention, diagnosis, prognosis, and treatment. Clinical Epidemiology welcomes papers covering these topics in form of original research and systematic reviews. Clinical Epidemiology has a special interest in international electronic medical patient records and other routine health care data, especially as applied to safety of medical interventions, clinical utility of diagnostic procedures, understanding short- and long-term clinical course of diseases, clinical epidemiological and biostatistical methods, and systematic reviews. When considering submission of a paper utilizing publicly-available data, authors should ensure that such studies add significantly to the body of knowledge and that they use appropriate validated methods for identifying health outcomes. The journal has launched special series describing existing data sources for clinical epidemiology, international health care systems and validation studies of algorithms based on databases and registries.
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