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Interhospital Variation in 180-Day Infections and Associated Medicare Spending after Cardiac Surgery

The Journal of Thoracic and Cardiovascular Surgery·August 4
Respiratory SystemPractice changingPneumoniaPostoperative InfectionSepsisSurgical Site InfectionUrinary Tract InfectionRetrospective Cohort StudyCardiac SurgeryOlder Adult

Summary

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What was studied

This study examined interhospital variation in 180-day postoperative infection rates (including UTI, pneumonia, sepsis, sternal wound infection, and others) among 239,039 Medicare beneficiaries undergoing cardiac surgery at 1,007 hospitals between January 2018 and June 2023, and linked those rates to Medicare spending and clinical outcomes.

Key findings

Infections occurred in 20.8% of procedures. High- vs. low-tercile infection-rate hospitals were associated with +$15,757 in mean 180-day Medicare spending per procedure (95% CI: $15,169–$16,345); infection rates explained 23.6% of spending variation. Benchmarking to the lowest tercile could prevent ~2,603 infections and ~$441M in annual Medicare payments.

Study limitations

Observational Medicare claims data cannot establish causation; coding accuracy for infection diagnoses may vary by hospital. The cohort is limited to Medicare beneficiaries (mean age 74.2 years, predominantly White), limiting generalizability to younger or commercially insured populations.

Clinical implications

Hospitals in the highest infection-rate tercile carry a substantial cost and outcomes burden after cardiac surgery — reducing postoperative infections toward best-practice benchmarks could meaningfully cut both patient harm and healthcare spending. Cardiac surgery programs should benchmark their 180-day infection rates against low-tercile peers as a quality and cost-reduction target.

Caveats

  • The cohort is 87.1% White Medicare beneficiaries aged 74+ — findings may not generalize to younger, non-White, or non-Medicare cardiac surgery populations.
  • The impact_flag 'practice_changing' is applied because the $441M avoidable spending projection and 23.6% spending variation attributable to infections represent a strong policy and quality-improvement signal, though causal inference is limited by study design.
  • The study is observational using administrative claims; infection rate differences across hospitals may partly reflect coding practice variation rather than true clinical differences.

Related Questions

Explore related topics

Which infection prevention bundles after cardiac surgery have the strongest evidence for reducing postoperative infection rates?How do hospital-level quality metrics for cardiac surgery correlate with 30-day vs 180-day outcomes in Medicare patients?What is the cost-effectiveness of enhanced infection surveillance programs in cardiac surgery centers?

Publication Details

Year
2026
Journal
The Journal of Thoracic and Cardiovascular Surgery
Sample Size
n=239,039
Source
View article
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