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STEMI Lit Review: Cath Times and In-Hospital Mortality
STEMI Lit Review: Cath Times and In-Hospital Mortality

STEMI Lit Review: Cath Times and In-Hospital Mortality

The Paper

Sammour YM, Khan SU, Hong H, et al. Institutional Variability in Processes of Care and Outcomes Among Patients With STEMI in the US. JAMA Cardiol. Published online June 11, 2025. doi:10.1001/jamacardio.2025.1411. PMID: 40498491

In STEMI, “time is myocardium”—but are we actually achieving timely PCI in the United States? Current ACC/AHA guidelines recommend:

  • ≤90 min First Medical Contact (FMC)-to-device time for primary presentations to PCI centers
  • ≤120 min for interhospital transfers

This study explored how well hospitals met guideline-recommended FMC-to-device time targets and whether delays actually translate into worse in-hospital outcomes, especially mortality. It’s one of the largest and most recent analyses of STEMI care performance.

Study Design

Clinical Question

Are delays in PCI—measured by failure to meet FMC-to-device time goals—associated with higher in-hospital mortality and worse outcomes in STEMI patients?

Study Design

  • Type: Retrospective cross-sectional
  • Data Source: AHA Get With The Guidelines–CAD Registry (2020–2022)
  • Population: 73,826 patients from 503 US hospitals
  • Inclusion: STEMI/STEMI equivalents undergoing primary PCI split into two cohorts
    • Primary (walked into PCI-capable hospital)
    • Transfers (initial hospital → PCI hospital)
  • Exclusion: Patients treated with fibrinolysis, missing data, or who didn’t receive PCI
  • Exposures: First medical contact (FMC) to device time with target times ≤ 90 min and ≤ 120 min for primary and transfer sites respectively
  • Primary Outcomes: In-hospital mortality, length of stay

Hospitals Stratified by Performance

Hospital Performance was grouped into tertiles (high, intermediate, and low) by how often they met:

  • ≤90 min FMC-to-device time for primary presentations
  • ≤120 min FMC-to-device time for transfer patients

Outcomes Measured

  1. Primary: In-hospital mortality and length of stay (LOS)
  2. Secondary:
    • Cardiogenic shock
    • Heart failure
    • Cardiac arrest
    • Stroke
    • Major bleeding

Statistical Methods

  • Hierarchical logistic regression models: These allow adjusting for both patient-level factors (age, sex, vitals, comorbidities) and hospital-level differences (size, teaching status, region). Covariates included:
    • Patient factors: age, sex, race, insurance status, BMI, comorbidities (HTN, DM, CAD, CKD, PAD, CVA, LVEF), vitals, arrest/shock/heart failure on arrival, and labs (creatinine)
    • Site factors: hospital size, teaching status, urban/rural location, regional distribution
  • Adjusted Odds Ratio (aOR): Measures how much more likely an outcome is if a patient missed the PCI time target, controlling for other factors (see above)
    • Example: aOR 2.21 for mortality = 2.2x greater odds of death if PCI was delayed.
    • Confidence Interval (CI): Tells us the range where the “true” value probably lies. If the CI does not cross 1.0 for an odds ratio, it's statistically significant.
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Biostats Primer: Why adjust for patient factors?
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Biostats Primer: How did the study adjust for confounders?

Results

Primary Outcome

Outcome
Primary Presentations
Transfers
% Meeting Target Time
59.5% (≤90 min)
50.3% (≤120 min)
In-Hospital Mortality Risk (missed target FMC to device time)
aOR 2.21 (95% CI 2.02–2.42)
aOR 2.44 (95% CI 1.90–3.12)
LOS (missed target FMC to device time)
aOR 1.35 (95% CI 1.30–1.41)
aOR 1.35 (95% CI 1.28–1.42)

Explanation: Only about half of STEMI patients met guideline-recommended PCI time targets, and those who missed them had more than double the odds of in-hospital death and significantly longer hospital stays.

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Biostats Primer: Extrapolating the Number Needed to Treat (NNT)

Primary Outcome by Hospital Performance (High vs. Low)

Group
% Met PCI Target Time
Median FMC-to-Device
Primary, High Performance
72.2%
76 min
Primary, Low Performance
46.0%
93 min
Transfer, High Performance
72.3%
100 min
Transfer, Low Performance
21.9%
155 min
Outcome
Primary Presentations
Transfers
Mortality Risk (low vs high performing hospitals)
aOR 1.16 (1.00–1.34)
aOR 1.09 (0.96–1.25) ❌ NS (not statistically significant)
LOS (low vs high performers)
aOR 1.21 (1.15–1.27)
aOR 1.57 (1.48–1.67)

Explanation: High-performing hospitals achieved PCI time goals in over 70% of cases with substantially shorter FMC-to-device times, yet showed only a modest or non-significant reduction in mortality compared to low-performing sites. However, patients at low-performing hospitals had significantly longer hospital stays, especially among transfers.

‣
The Paradox Explained: High-performing hospitals achieved much higher rates of timely PCI—so why was the mortality benefit so modest, even negligible, compared to low-performing hospitals?

Secondary Outcomes: Missed FMC to Device Target

Outcome
Primary Presentation
Transfers
Cardiogenic Shock
aOR 1.62 (95% CI 1.51–1.74)
aOR 1.86 (95% CI 1.56–2.22)
New/Worsening HF
aOR 1.41 (95% CI 1.33–1.49)
aOR 1.52 (95% CI 1.29–1.78)
Cardiac Arrest
aOR 1.58 (95% CI 1.47–1.70)
aOR 1.81 (95% CI 1.50–2.19)
Major Bleeding
aOR 1.03 (95% CI 0.94–1.13) ❌ NS
aOR 1.13 (95% CI 0.95–1.34) ❌ NS
Stroke
aOR 1.02 (95% CI 0.87–1.21) ❌ NS
aOR 1.10 (95% CI 0.83–1.46) ❌ NS

Explanation: Missing PCI time goals was associated with significantly higher odds of cardiogenic shock, heart failure, and cardiac arrest—but not with major bleeding or stroke—highlighting that delays primarily increase cardiopulmonary complications, not procedural ones.

Author Conclusions

“Failure to meet guideline-recommended FMC-to-device time targets was associated with higher in-hospital mortality and longer length of stay. However, inter-hospital differences in performance had minimal effect on mortality, suggesting that patient-level factors may dominate hospital-level differences.”

Critical Appraisal

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RAMMBO Assessment (FIRST10EM)

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BEEM Prognostic Appraisal (Best Evidence in Emergency Medicine)

Strengths

  • Huge sample size
  • Detailed patient-level variables (shock, cardiac arrest, LVEF, vitals, labs) allow robust statistical adjustment for confounders
  • Separately analyzes primary vs transfer STEMI
  • Real-world hospital performance stratification
  • In-hospital mortality and LOS are hard endpoints that minimize reporting bias.
  • Mortality and LOS are highly relevant outcomes

Limitations

  • Observational study → can’t prove causation
  • Does not include patients treated with fibrinolytics
  • No data on symptom onset-to-device time
  • Some delays may reflect sicker patients, even with adjustment
  • Outcomes beyond hospital discharge (e.g., 30-60 day mortality, rehospitalization, heart failure progression) were not measured.
  • Excludes fibrinolysis cohort which limits applicability to centers or patients where lytics are used, especially in rural or resource-limited settings.

Bottom Line

In STEMI care, faster PCI saves lives—yet nearly half of patients in this national cohort missed guideline-recommended door-to-balloon time targets. These delays were independently associated with increased in-hospital mortality, cardiogenic shock, heart failure, and cardiac arrest. The findings reinforce the clinical value of timely PCI and highlight the need to streamline STEMI systems of care, particularly for transfer patients. However, as an observational study limited to in-hospital outcomes, the analysis may either underestimate or overstate the true impact of PCI delays on long-term prognosis. Additionally, the study did not include patients treated with fibrinolytics—a strategy that may offer life-saving benefit when timely PCI is not achievable—limiting its applicability to resource-constrained settings where lytics are often the only option.

References

  1. Rao SV, Tamis-Holland JE, Nallamothu BK, et al. 2025 ACC/AHA/ACEP/NAEMSP/SCAI Guideline for the Management of Patients With Acute Coronary Syndromes: A Report of the American College of Cardiology/American Heart Association Joint Committee on Clinical Practice Guidelines. J Am Coll Cardiol. 2025;S0735-1097(24)06538-2. doi:10.1016/j.jacc.2024.05.001.
  2. Sammour YM, Khan SU, Hong H, et al. Institutional Variability in Processes of Care and Outcomes Among Patients With STEMI in the US. JAMA Cardiol. Published online June 11, 2025. doi:10.1001/jamacardio.2025.1411. PMID: 40498491

This post is for education only and not medical advice.

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