Evidence map›Paper›PMID 32414596›Full record

ArticleThe Journal of thoracic and cardiovascular surgery2022

Use of 90-day mortality does not change assessment of hospital quality after coronary artery bypass grafting in New York State.

Aaron Mittel, Dae Hyun Kim, Zara Cooper, Michael Argenziano, May Hua

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Article in The Journal of thoracic and cardiovascular surgery, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Aaron MittelDepartment of Anesthesiology, Columbia University Medical Center, New York Presbyterian Hospital, New York, NY. Electronic address: am4656@cumc.columbia.edu.
Dae Hyun KimHinda and Arthur Marcus Institute for Aging Research, Hebrew SeniorLife, Boston, Mass.
Zara CooperCenter for Surgery and Public Health, Brigham and Women's Hospital, Boston, Mass.
Michael ArgenzianoDepartment of Surgery, Columbia University Medical Center, New York Presbyterian Hospital, New York, NY.
May HuaDepartment of Anesthesiology, Columbia University Medical Center, New York Presbyterian Hospital, New York, NY; Department of Epidemiology, Columbia University Mailman School of Public Health, New York, NY.

Funding

Determinants of Critical Care Intensity for Hospitalized Older Adults: the Effect of Hospital-based Palliative Care ServicesK08AG051184 · NIA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI HUA, MAY · 2015 to 2019
$863k
NIA NIH HHS K08 AG051184NIA NIH HHS L30 AG053861
6 · The paper itself

Abstract

objectivesPublicly reported postoperative 30-day mortality rates are commonly used to compare hospital quality after coronary artery bypass grafting. We sought to determine whether 90-day mortality rates, which are not publicly reported but better capture postdischarge mortality, are a better determinant of hospital performance.

methodsWe performed a retrospective cohort analysis of 30- versus 90-day risk-standardized mortality rates at adult cardiac surgical centers in New York State from 2008 to 2014. Hospitals were classified as good or poor performing outliers at each time point based on the bounds of the 95% confidence interval around each hospital's predicted risk-standardized mortality rates determined via hierarchical models. The primary outcome was change in institutional performance via outlier classification from 30 to 90 days.

resultsDuring the study period, 72,398 adults underwent a coronary artery bypass grafting procedure at 1 of 42 institutions. The risk-standardized mortality rates increased from 30 to 90 days at all institutions, with a median 30-day risk-standardized mortality rate of 2.16% (interquartile range, 0.69%) and median 90-day risk-standardized mortality rate of 3.69% (interquartile range, 1.00%). In using a 90-day instead of a 30-day metric, 3 hospitals changed outlier status. One hospital improved to a good from as expected performer, and 2 worsened to as expected from good performers.

conclusionsIn a cohort of patients who underwent coronary artery bypass grafting surgery from 2008 to 2014 in New York State, use of a 90-day mortality metric resulted in a change in hospital quality assessment for a minority of hospitals. The use of 90-day mortality may not provide additional value when evaluating institutional performance for this population.

Indexed as

Outcome and Process Assessment, Health CareQuality Assurance, Health CareQuality Indicators, Health CareAgedCoronary Artery BypassCoronary Artery DiseaseFemaleHumansMaleMiddle AgedNew YorkQuality ImprovementRetrospective StudiesTime FactorsTreatment Outcomecardiac surgical proceduresdisease notificationhealth care quality assessmentmandatory public reportingpostoperative care

Identifiers

PMID32414596
PMCPMC7554081

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.