PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
April 10, 2026Journal of Vascular Surgery2 citationsOpen Access

Optimizing identification of major adverse limb and cardiovascular events among adults with peripheral artery disease in administrative data

View Full Paper
HNHasan NassereldineSSSamantha SymeNSNeha D Shetty

Key Result

Administrative diagnosis-only codes identified MACE with an F1 score of 60.3%, while procedure-only codes identified MALE with an F1 score of 95.2% compared to clinical adjudication.

Study Design

Type

Observational (n=620)

Multicenter

Yes

Structured PICO

Can administrative codes accurately identify major adverse cardiovascular and limb events in patients with peripheral artery disease compared to clinical adjudication?

P
Population
620 adults with peripheral artery disease evaluated in vascular surgery clinics, followed for a median of 2.7 years to validate administrative codes for adverse events.
E
Exposure
Administrative coding strategies using hospitalization diagnosis (International Classification of Diseases) and/or procedure (Current Procedural Terminology) codes
C
Comparator
Clinical adjudication of electronic health record (EHR) data by expert consensus (gold standard)
O
Outcome
Accuracy of identifying long-term MACE (myocardial infarct, nontraumatic stroke, cardiac death) and MALE (major revascularization, amputation)

Administrative codes can accurately identify major adverse limb events using procedure codes, but are less accurate for major adverse cardiovascular events in patients with peripheral artery disease.

Limitations

  • MACE identification is limited by positive predictive value and net reclassification indices
  • MALE identification is limited to procedure-based events

Abstract

OBJECTIVE: Atherosclerotic cardiovascular diseases (ASCVD) are the commonest cause of death. Peripheral artery disease (PAD) is an ASCVD that significantly increases risk of death and reduces quality of life; however, characterization of its consequences is limited because it requires manual adjudication of major adverse cardiovascular events (MACEs) and major adverse limb events (MALEs). Hence, we developed and validated a system to quantify MACE and MALE using administrative data. METHODS: In a multihospital single health care system (2016-2023), we identified adult index vascular surgery clinic visits for PAD. We randomly sampled the patients for clinical adjudication of their electronic health record (EHR) data to identify long-term MACE (myocardial infarct, nontraumatic stroke, cardiac death) and MALE (major revascularization, amputation). We achieved consensus through a modified Delphi process with three rounds of EHR review by five experts, generating the gold standard diagnosis. We compared the accuracy of hospitalization diagnosis (International Classification of Diseases) and/or procedure (Current Procedural Terminology) codes to the EHR review gold standard diagnoses. Testing parameters identified the optimal administrative coding strategies when compared to the gold standard diagnoses. The predictive increment was measured by net reclassification indices (NRI). RESULTS: We included 620 patients (mean age, 70 ± 12 years; 40% female; 89% White race; 16% frail). Throughout long-term follow-up (median, 2.7 years; interquartile range, 1.3-4.7 years), clinical adjudication identified 13% MACE and 22% MALE. Administrative strategies yielded similar rates for MACE and MALE. For MACE, diagnosis-only codes optimized identification with an F1 score of 60.3% and 0.55 Mathews Correlation Coefficient. For MALE, procedure-only codes optimized identification with an F1 score of 95.2% F1 score and Matthews correlation coefficient of 0.94. The NRI was 33% for MACE and 2% for MALE. CONCLUSIONS: Administrative codes can accurately identify ASCVD outcomes among patients with PAD. MACE identification is inferior to MALE identification, but optimized with International Classification of Diseases codes only, driven by limitations in positive predictive value and NRI. MALE identification, which is limited to procedure-based events, is optimized with Current Procedural Terminology codes alone, with minimal false negatives.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Nassereldine et al. (2026) conducted an observational in Peripheral artery disease (n=620). Administrative coding strategies (ICD and CPT codes) vs. Clinical adjudication (EHR review gold standard) was evaluated on Accuracy of administrative codes for identifying MACE and MALE. Administrative diagnosis-only codes identified MACE with an F1 score of 60.3%, while procedure-only codes identified MALE with an F1 score of 95.2% compared to clinical adjudication.

synapsesocial.com/papers/6aa3c24c5b183923dd1aaaaehttps://doi.org/10.1016/j.jvs.2026.03.614
Ask AI
Helpful
Bookmark
Share
View Full Paper