We have located links that may give you full text access.
Association Between Past and Present Operative Mortality in Congenital Heart Surgery.
Annals of Thoracic Surgery 2024 Februrary 23
BACKGROUND: Mortality following congenital heart surgery is an important metric across benchmarking, quality, and reporting initiatives. All rely on estimates from prior years, and it is unclear how well these reflect current outcomes.
METHODS: STS Congenital Database index operations (2014-2019) were included. Adjusted operative mortality in "past" 4- and 1-year intervals vs. the most recent year ("present") was evaluated using Bayesian hierarchical logistic regression with results presented as odds ratios (95% credible interval).
RESULTS: Among 115,699 operations (106 hospitals), overall present observed mortality was 2.5%. Regression to the mean was evident and individual hospital's present vs. past adjusted mortality were only weakly correlated (-0.11 vs. past 1-year, 0.22 vs. past 4-year data). There was a significant relationship between past and present mortality only for the group of hospitals in the highest mortality quartile, most prominent for past 4-year data [adjusted odds ratio vs. lowest mortality quartile 2.04 (1.44-2.80)]. The proportion of present hospital mortality variation explained by past mortality quartile was 52% (20%-90%) using past 4-year and only 27% (92%-83%) using past 1-year data. Overall 66% of hospitals changed mortality quartiles from past to present (30% by ≥2 quartiles).
CONCLUSIONS: Past mortality relates to present primarily for groups of hospitals at the extremes, with past 4-year more informative than past 1-year data. For individual hospitals, past may differ from present, regression to the mean is common, and many change quartiles. Past mortality should be used thoughtfully and not as the sole factor informing present decision making.
METHODS: STS Congenital Database index operations (2014-2019) were included. Adjusted operative mortality in "past" 4- and 1-year intervals vs. the most recent year ("present") was evaluated using Bayesian hierarchical logistic regression with results presented as odds ratios (95% credible interval).
RESULTS: Among 115,699 operations (106 hospitals), overall present observed mortality was 2.5%. Regression to the mean was evident and individual hospital's present vs. past adjusted mortality were only weakly correlated (-0.11 vs. past 1-year, 0.22 vs. past 4-year data). There was a significant relationship between past and present mortality only for the group of hospitals in the highest mortality quartile, most prominent for past 4-year data [adjusted odds ratio vs. lowest mortality quartile 2.04 (1.44-2.80)]. The proportion of present hospital mortality variation explained by past mortality quartile was 52% (20%-90%) using past 4-year and only 27% (92%-83%) using past 1-year data. Overall 66% of hospitals changed mortality quartiles from past to present (30% by ≥2 quartiles).
CONCLUSIONS: Past mortality relates to present primarily for groups of hospitals at the extremes, with past 4-year more informative than past 1-year data. For individual hospitals, past may differ from present, regression to the mean is common, and many change quartiles. Past mortality should be used thoughtfully and not as the sole factor informing present decision making.
Full text links
Related Resources
Trending Papers
Haemodynamic monitoring during noncardiac surgery: past, present, and future.Journal of Clinical Monitoring and Computing 2024 April 31
2024 AHA/ACC/AMSSM/HRS/PACES/SCMR Guideline for the Management of Hypertrophic Cardiomyopathy: A Report of the American Heart Association/American College of Cardiology Joint Committee on Clinical Practice Guidelines.Circulation 2024 May 9
Obesity pharmacotherapy in older adults: a narrative review of evidence.International Journal of Obesity 2024 May 7
Get seemless 1-tap access through your institution/university
For the best experience, use the Read mobile app
All material on this website is protected by copyright, Copyright © 1994-2024 by WebMD LLC.
This website also contains material copyrighted by 3rd parties.
By using this service, you agree to our terms of use and privacy policy.
Your Privacy Choices
You can now claim free CME credits for this literature searchClaim now
Get seemless 1-tap access through your institution/university
For the best experience, use the Read mobile app