Coronary disease & ACS

Impact of name-based implicit bias on time to diagnosis and outcomes in ST-elevation myocardial infarction

HeartPublished prospective registry

Main finding · FMC-to-diagnosis timeResult — go to the resultMean difference +16.8 min

Authors' conclusion

Patients with phonetically uncommon surnames experienced significant STEMI diagnostic delays within an efficient fast-track network. Protocol-driven care following diagnosis operated equitably, leading to no difference in long-term MACE.

Study context

Population
ST-elevation myocardial infarction (STEMI) patients within an established fast-track network, with surnames classified as phonetically common or uncommon against Canton Fribourg population data
Participants
1,208 patients
Exposure
Patients with phonetically uncommon surnames compared with patients with common surnames
  • Uncommon namesn = 284
Outcome
FMC-to-diagnosis time
Methodological detailsconsecutive STEMI patients, June 2008 to November 2024
  • Consecutive STEMI patients
  • June 2008 to November 2024

Main finding

As reported in the abstract

Mean difference

+16.8 min

P = 0.009

By group

Observational data: associations, not effects.

Further findings

FMC-to-balloon time · prolonged with uncommon names

mean difference +17.5 · P = 0.016

OutcomeMean difference (U/L)P value
Peak creatine kinase muscle-brainNon-significant elevation+52.0P = 0.077

Exceeding the 90 min first medical contact (FMC)-to-balloon threshold

Uncommon names significantly more likely to exceed; printed as
39.2% vs 48.4%; p=0.010

Exceeding the 120 min FMC-to-balloon threshold

Uncommon names significantly more likely to exceed; printed as
16.4% vs 23.5%; p=0.018

Diagnosis-to-balloon time

Remained unaffected
P > 0.80

MACE · 30 days and 5 years

No differences between patients with common and uncommon names

Original publication

Impact of name-based implicit bias on time to diagnosis and outcomes in ST-elevation myocardial infarction. Heart. Published 23 February 2026. doi:10.1136/heartjnl-2025-327383

Composed by AI from the published abstract and checked against it. How Briefs are made →

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