Positive Predictive Value of ICD-10-CM Codes for Myocarditis in Claims Data: A Multi-Institutional Study in Taiwan

被引:9
|
作者
Wu, Li-Ying [1 ]
Shao, Shih-Chieh [2 ,4 ]
Liao, Shu-Chen [1 ,3 ,5 ]
机构
[1] Keelung Chang Gung Mem Hosp, Dept Emergency Med, Keelung, Taiwan
[2] Keelung Chang Gung Mem Hosp, Dept Pharm, Keelung, Taiwan
[3] Chang Gung Univ, Coll Med, Taoyuan, Taiwan
[4] Keelung Chang Gung Mem Hosp, Dept Pharm, Maijin Rd, Keelung 222, Taiwan
[5] Keelung Chang Gung Mem Hosp, Dept Emergency Med, Maijin Rd, Keelung 222, Taiwan
来源
CLINICAL EPIDEMIOLOGY | 2023年 / 15卷
关键词
ICD-CM-10; codes; positive predictive value; myocarditis; multi-institutional study; Chang Gung Research Database; FOLLOW-UP; COVID-19; VACCINATION; MANAGEMENT; STATEMENT; DIAGNOSIS;
D O I
10.2147/CLEP.S405660
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
Purpose: The validity of the diagnosis codes to identify myocarditis cases in healthcare databases research remains unclear, and this study aimed to determine the coding accuracy of myocarditis in Taiwan.Methods: We conducted a cross-sectional study based on Taiwan's largest multi-institutional healthcare system to identify inpatients newly diagnosed with ICD-10-CM myocarditis codes at discharge between January 1st, 2017 and March 31st, 2022. We ascertained the myocarditis diagnosis by a gold standard biopsy or by review of electronic medical records, and the positive predictive values (PPV) with 95% confidence intervals (CI) of the ICD-10-CM codes for myocarditis were determined.Results: We included a total of 498 inpatients (mean age: 33.8 years old; female: 38.8%) with new myocarditis diagnosis at discharge. Codes I409 (30.1%) and I514 (45.4%) constituted the majority of myocarditis diagnostic codes in any coding position, and the overall PPV of the myocarditis codes was 73.5% (95% CI: 69.6-77.4%). However, the highest PPV (96.6%) for myocarditis diagnosis was noted with code I409 as the primary diagnosis. We found 132 inpatients (26.5%) who were false-positive myocarditis cases, identified by the ICD-10-CM codes, and potential reasons for misclassification included other inflammation diseases (n=35, 26.5%), pre-existing heart failure (n= 25, 18.9%) and acute myocardial infarction (n=16, 12.1%).Conclusion: The PPV of ICD-10-CM codes for myocarditis in Taiwan was acceptable, but some other inflammation diseases and pre-existing heart diseases may be falsely coded as myocarditis. Our results may serve future secondary database studies as a fundamental reference on the validity of myocarditis diagnosis codes.
引用
收藏
页码:459 / 468
页数:10
相关论文
共 15 条
  • [1] Positive Predictive Values of Anaphylaxis Diagnosis in Claims Data: A Multi-Institutional Study in Taiwan
    Chang, Chun
    Liao, Shu-Chen
    Shao, Shih-Chieh
    JOURNAL OF MEDICAL SYSTEMS, 2023, 47 (01)
  • [2] Positive Predictive Values of Anaphylaxis Diagnosis in Claims Data: A Multi-Institutional Study in Taiwan
    Chun Chang
    Shu-Chen Liao
    Shih-Chieh Shao
    Journal of Medical Systems, 47
  • [3] Validation of Diagnostic Codes to Identify Glaucoma in Taiwan's Claims Data: A Multi-Institutional Study
    Lu, Pei-Ting
    Tsai, Tsung-Hsien
    Lai, Chi-Chun
    Chuang, Lan-Hsin
    Shao, Shih-Chieh
    CLINICAL EPIDEMIOLOGY, 2024, 16 : 227 - 234
  • [4] Validation of body mass index (BMI)-related ICD-9-CM and ICD-10-CM administrative diagnosis codes recorded in US claims data
    Ammann, Eric M.
    Kalsekar, Iftekhar
    Yoo, Andrew
    Johnston, Stephen S.
    PHARMACOEPIDEMIOLOGY AND DRUG SAFETY, 2018, 27 (10) : 1092 - 1100
  • [5] Positive Predictive Value of ICD-10 Codes for Cerebral Venous Sinus Thrombosis in Taiwan's National Health Insurance Claims Database
    Liao, Shu-Chen
    Shao, Shih-Chieh
    Lai, Edward Chia-Cheng
    Lin, Swu-Jane
    Huang, Wei-, I
    Hsieh, Cheng-Yang
    CLINICAL EPIDEMIOLOGY, 2022, 14 : 1 - 7
  • [6] Validation of ICD-9-CM and ICD-10-CM Diagnostic Codes for Identifying Patients with Out-of-Hospital Cardiac Arrest in a National Health Insurance Claims Database
    Tsai, Ming-Jen
    Tsai, Cheng-Han
    Pan, Ru-Chiou
    Hsu, Chi-Feng
    Sung, Sheng-Feng
    CLINICAL EPIDEMIOLOGY, 2022, 14 : 721 - 730
  • [7] Positive Predictive Value of ICD-10 Diagnosis Codes for COVID-19
    Bodilsen, Jacob
    Leth, Steffen
    Nielsen, Stig Lonberg
    Holler, Jon Gitz
    Benfield, Thomas
    Omland, Lars Haukali
    CLINICAL EPIDEMIOLOGY, 2021, 13 : 367 - 372
  • [8] Performance of ICD-10-CM Diagnosis Codes for Identifying Acute Ischemic Stroke in a National Health Insurance Claims Database
    Hsieh, Meng-Tsang
    Hsieh, Cheng-Yang
    Tsai, Tzu-Tung
    Wang, Yi-Ching
    Sung, Sheng-Feng
    CLINICAL EPIDEMIOLOGY, 2020, 12 : 1007 - 1013
  • [9] Validation of ICD-10-CM Diagnosis Codes for Identification of Patients with Acute Hemorrhagic Stroke in a National Health Insurance Claims Database
    Hsieh, Meng-Tsang
    Huang, Kuo-Chang
    Hsieh, Cheng-Yang
    Tsai, Tzu-Tung
    Chen, Li-Ching
    Sung, Sheng-Feng
    CLINICAL EPIDEMIOLOGY, 2021, 13 : 43 - 51
  • [10] Positive predictive value and sensitivity of ICD-9-CM codes for identifying pediatric leukemia
    Weinmann, Sheila
    Francisco, Melanie C.
    Kwan, Marilyn L.
    Bowles, Erin J. A.
    Rahm, Alanna Kulchak
    Greenlee, Robert T.
    Stout, Natasha K.
    Pole, Jason D.
    Kushi, Lawrence H.
    Smith-Bindman, Rebecca
    Miglioretti, Diana L.
    PEDIATRIC BLOOD & CANCER, 2022, 69 (02)