Cardiovascular-Kidney-Metabolic Syndrome: Development of an ICD-10-CM Coding Framework

Scritto il 01/06/2026
da Minzhe Zhao

JMIR Diabetes. 2026 Jun 1;11:e91827. doi: 10.2196/91827.

ABSTRACT

BACKGROUND: Cardiovascular-kidney-metabolic (CKM) syndrome is a multisystem construct describing the intertwined progression of cardiometabolic risk factors, chronic kidney disease (CKD), and cardiovascular disease. The American Heart Association (AHA) proposed CKM stages (0-4) for risk stratification and prevention. However, CKM lacks a single ICD-10-CM (International Classification of Diseases, Tenth Revision, Clinical Modification) code, which hinders standardized stage identification in electronic health records and claims data.

OBJECTIVE: This study aimed to develop an AHA-aligned ICD-10-CM coding framework as an implementation template that operationalizes CKM stages 0-4 for reproducible cohort identification and stage-based analyses in real-world data.

METHODS: We mapped AHA CKM stages (0-4) to ICD-10-CM diagnosis code sets using Fiscal Year 2026 conventions, code-set engineering best practices, and clinician review. To improve reproducibility, we defined a hierarchical staging algorithm, co-occurrence rules, and recommended lookback and encounter-confirmation thresholds. Stage 3 includes guidance for electronic health record-enhanced ascertainment and claims-only proxies.

RESULTS: We provide stage-specific ICD-10-CM code sets for CKM stages 0-4. Stage 1 captures excess or dysfunctional adiposity or prediabetes. Stage 2 captures established metabolic disease and earlier-stage CKD. Stage 3 captures subclinical cardiovascular injury or very high-risk CKD. Stage 4 captures overt clinical cardiovascular disease events, with or without kidney failure.

CONCLUSIONS: This implementation framework enables transparent, reproducible CKM staging in real-world datasets and supports stage-based epidemiologic and health-system applications. Empirical validation and local implementation testing are needed before clinical deployment.

PMID:42224011 | DOI:10.2196/91827