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行政数据库中心肌梗死诊断的有效性:一项系统评价。

Validity of myocardial infarction diagnoses in administrative databases: a systematic review.

作者信息

McCormick Natalie, Lacaille Diane, Bhole Vidula, Avina-Zubieta J Antonio

机构信息

Faculty of Pharmaceutical Sciences, University of British Columbia, Vancouver, British Columbia, Canada; Arthritis Research Centre of Canada, Richmond, British Columbia, Canada.

Arthritis Research Centre of Canada, Richmond, British Columbia, Canada; Division of Rheumatology, Department of Medicine. University of British Columbia, Vancouver, British Columbia, Canada; Co-chair, Cardiovascular Committee of the CANRAD Network, Richmond, British Columbia, Canada.

出版信息

PLoS One. 2014 Mar 28;9(3):e92286. doi: 10.1371/journal.pone.0092286. eCollection 2014.

Abstract

BACKGROUND

Though administrative databases are increasingly being used for research related to myocardial infarction (MI), the validity of MI diagnoses in these databases has never been synthesized on a large scale.

OBJECTIVE

To conduct the first systematic review of studies reporting on the validity of diagnostic codes for identifying MI in administrative data.

METHODS

MEDLINE and EMBASE were searched (inception to November 2010) for studies: (a) Using administrative data to identify MI; or (b) Evaluating the validity of MI codes in administrative data; and (c) Reporting validation statistics (sensitivity, specificity, positive predictive value (PPV), negative predictive value, or Kappa scores) for MI, or data sufficient for their calculation. Additonal articles were located by handsearch (up to February 2011) of original papers. Data were extracted by two independent reviewers; article quality was assessed using the Quality Assessment of Diagnostic Accuracy Studies tool.

RESULTS

Thirty studies published from 1984-2010 were included; most assessed codes from the International Classification of Diseases (ICD)-9th revision. Sensitivity and specificity of hospitalization data for identifying MI in most [≥50%] studies was ≥86%, and PPV in most studies was ≥93%. The PPV was higher in the more-recent studies, and lower when criteria that do not incorporate cardiac troponin levels (such as the MONICA) were employed as the gold standard. MI as a cause-of-death on death certificates also demonstrated lower accuracy, with maximum PPV of 60% (for definite MI).

CONCLUSIONS

Hospitalization data has higher validity and hence can be used to identify MI, but the accuracy of MI as a cause-of-death on death certificates is suboptimal, and more studies are needed on the validity of ICD-10 codes. When using administrative data for research purposes, authors should recognize these factors and avoid using vital statistics data if hospitalization data is not available to confirm deaths from MI.

摘要

背景

尽管行政数据库越来越多地用于与心肌梗死(MI)相关的研究,但这些数据库中心肌梗死诊断的有效性从未在大规模研究中进行过综合分析。

目的

对报告行政数据中识别心肌梗死诊断代码有效性的研究进行首次系统评价。

方法

检索MEDLINE和EMBASE数据库(建库至2010年11月),查找符合以下条件的研究:(a)使用行政数据识别心肌梗死;或(b)评估行政数据中心肌梗死代码的有效性;以及(c)报告心肌梗死的验证统计数据(敏感性、特异性、阳性预测值(PPV)、阴性预测值或Kappa值),或有足够数据用于计算这些指标。通过手工检索(截至2011年2月)原始论文获取更多文章。由两名独立评审员提取数据;使用诊断准确性研究质量评估工具评估文章质量。

结果

纳入了1984年至2010年发表的30项研究;大多数研究评估了国际疾病分类(ICD)第九版的代码。在大多数[≥50%]研究中,住院数据识别心肌梗死的敏感性和特异性≥86%,大多数研究中的阳性预测值≥93%。在较新研究中阳性预测值更高,而当采用不纳入心肌肌钙蛋白水平的标准(如莫尼卡(MONICA)标准)作为金标准时阳性预测值较低。死亡证明上作为死因的心肌梗死准确性也较低,确诊心肌梗死的最大阳性预测值为60%。

结论

住院数据具有较高的有效性,因此可用于识别心肌梗死,但死亡证明上作为死因的心肌梗死准确性欠佳,需要更多关于ICD - 10代码有效性的研究。当将行政数据用于研究目的时,作者应认识到这些因素,若无法获取住院数据以确认心肌梗死导致的死亡,则应避免使用生命统计数据。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/070e/3969323/8a902f91934e/pone.0092286.g001.jpg

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