Problems of ICD-10 coding in health information systems using the example of coronary artery disease
https://doi.org/10.15829/1560-4071-2025-5969
EDN: ZMQORJ
Abstract
Aim. To assess the possibilities and problems of using health information systems (HIS) to record disease cases and causes of death using ICD-10 codes using coronary artery disease (CAD) forms as an example.
Material and methods. The study combined data from electronic databases of the Main Civil Registry Office and outpatient clinics of the Moscow Oblast. All cases with CAD codes registered as the underlying cause of death (UCD) in outpatient clinics and in medical certificates of cause of death (MCCD) one year before death were included. A total of 3476 deaths.
Results. On average, 1,4 four-digit ICD codes from the CAD group (I20-I25) per patient were registered in outpatient clinics per year. More than 1 code from the CAD group was registered in 33,3% of patients. For one conditional disease (CAD), 86 unique consecutive combinations of 4-digit CAD codes were identified, which indicates the changes of the patient's condition over time. Myocardial infarction (MI) as a UCD is indicated in 12,1% of the MCCD (9,1% — I21 and 3% — I22); in 83,9% — one of 7 codes of the chronic forms of CAD group (I25.0, 1, 2, 3, 5, 8, 9). Among those who had only codes of the chronic forms of CAD group (I25) indicated in outpatient clinics, 9,6% died of MI. The problems associated with the use of codes for creating registers and their subsequent clinical interpretation are described. In addition to CAD codes, other diseases represented by 4-digit codes (on average, 6,0±4,9 per patient) were registered in the outpatient clinics in 90,7% of patients. Causes of death (Part II of the MCCD) were indicated in 24,3%.
Conclusion. HIS have significant potential for accumulation and subsequent clinical analysis of data, but for full use, expert approval of the criteria for applying codes for various clinical forms of CAD is required.
About the Authors
I. V. SamorodskayaRussian Federation
Moscow
Competing Interests:
нет
E. P. Kakorina
Russian Federation
Moscow
Competing Interests:
нет
I. V. Klyuchnikov
Russian Federation
Moscow
Competing Interests:
нет
References
1. Khan MA, Hashim MJ, Mustafa H, et al. Global epidemiology of ischemic heart disease: Results from the Global Burden of Disease Study. Cureus. 2020;12(7):e9349. doi: 10.7759/cureus.9349.
2. Boytsov SA, Shakhnovich RM, Erlikh AD, et al. Registry of Acute Myocardial Infarction. REGION-MI — Russian Registry of Acute Myocardial Infarction. Kardiologiia. 2021; 61(6):41-51. (In Russ.) doi: 10.18087/cardio.2021.6.n1595.
3. Davidson J, Banerjee A, Muzambi R, et al. Validity of Acute Cardiovascular Outcome Diagnoses Recorded in European Electronic Health Records: A Systematic Review. Clin Epidemiol. 2020;12:1095-111. doi: 10.2147/CLEP.S265619.
4. Nakajima E, Shweiki Alrefaee B, Austin PC, et al. Validation of the Use of Discharge Diagnostic Codes for the Verification of Secondary Atrial Fibrillation in Administrative Databases. CJC Open. 2023;5(8):597-602. doi: 10.1016/j.cjco.2023.05.007.
5. Haue AD, Armenteros JJA, Holm PC, et al. Temporal patterns of multi-morbidity in 570157 ischemic heart disease patients: a nationwide cohort study. Cardiovasc Diabetol. 2022;21(1):87. doi: 10.1186/s12933-022-01527-3.
6. Beridze G, Abbadi A, Ars J, et al. Patterns of multimorbidity in primary care electronic health records: A systematic review. J Multimorb Comorb. 2024;14:26335565231223350. doi: 10.1177/26335565231223350.
7. Ng SHX, Rahman N, Ang IYH, et al. Characterization of high healthcare utilizer groups using administrative data from an electronic medical record database. BMC Health Serv Res. 2019;19:452. doi: 10.1186/s12913-019-4239-2.
8. Russian Society of Cardiology (RSC). 2020 Clinical practice guidelines for Stable coronary artery disease. Russian Journal of Cardiology. 2020;25(11):4076. (In Russ.) doi: 10.15829/29/1560-4071-2020-4076.
9. Virani SS, Newby LK, Arnold SV, et al.; Peer Review Committee Members. 2023 AHA/ACC/ACCP/ASPC/NLA/PCNA Guideline for the Management of Patients With Chronic Coronary Disease: A Report of the American Heart Association/American College of Cardiology Joint Committee on Clinical Practice Guidelines. Circulation. 2023;148(9):e9-e119. doi: 10.1161/CIR.0000000000001168.
10. Byrne RA, Rossello X, Coughlan JJ, et al. 2023 ESC Guidelines for the management of acute coronary syndromes: Developed by the task force on the management of acute coronary syndromes of the European Society of Cardiology (ESC) European Heart Journal. 2023;44(38):3720-826. doi: 10.1093/eurheartj/ehad191.
11. Chowdhury SR, Chandra Das D, Sunna TC, et al. Global and regional prevalence of multimorbidity in the adult population in community settings: a systematic review and meta-analysis. EClinicalMedicine. 2023;57:101860. doi: 10.1016/j.eclinm.2023.101860.
Supplementary files
- Health information systems (HIS) have significant potential for accumulation and clinical analysis of data.
- For full use of HIS, expert approval of criteria for the application of ICD codes for various clinical types of coronary artery disease is required.
Review
For citations:
Samorodskaya I.V., Kakorina E.P., Klyuchnikov I.V. Problems of ICD-10 coding in health information systems using the example of coronary artery disease. Russian Journal of Cardiology. 2025;30(3):5969. (In Russ.) https://doi.org/10.15829/1560-4071-2025-5969. EDN: ZMQORJ