Evidence map›Paper›PMID 29174785›Full record

ArticleThe Annals of thoracic surgery2018

Determinants of Variation in Pneumonia Rates After Coronary Artery Bypass Grafting.

Alexander A Brescia, J Scott Rankin, Derek D Cyr, Jeffrey P Jacobs, Richard L Prager, Min Zhang, Roland A Matsouaka, Steven D Harrington, Rachel S Dokholyan, Steven F Bolling and 5 more

Registry-linked trialOpen access · bronzeAbstract readMulticenter Study
In one paragraph

Article in The Annals of thoracic surgery, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02068716 (Optimizing Prevention of Healthcare-Acquired Infections After Cardiac Surgery), which is not on this map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
1.8field-weighted citation impact, top 13% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT02068716 completednot on this map

Optimizing Prevention of Healthcare-Acquired Infections After Cardiac Surgery

TypeobservationalSponsorDr. Donald LikoskyRan2014 to 2018Enrolled911,754ConditionsHealthcare Associated Infectious Disease, Sternal Superficial Wound Infection, Sepsis, Pneumonia
3 · Its place in the literature

Who cites it

18 citing papers in PubMed, 26 citations in OpenAlex.

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  3. Observational
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  13. Surgical Sabermetrics: Applying Athletics Data Science to Enhance Operative Performance.Annals of surgery open : perspectives of surgical history, education, and clinical approaches · 2021
    Article
  14. Article
  15. Determinants of Value in Coronary Artery Bypass Grafting.Circulation. Cardiovascular quality and outcomes · 2020
    Article
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  17. Observational
  18. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors at 7 institutions in 1 country.

Alexander A BresciaDepartment of Cardiac Surgery, University of Michigan, Ann Arbor, Michigan.
J Scott RankinWest Virginia Heart and Vascular Institute, West Virginia University, Morgantown, West Virginia.
Derek D CyrDuke Clinical Research Institute, Duke University, Durham, North Carolina.
Jeffrey P JacobsDivision of Cardiac Surgery, Department of Surgery, Johns Hopkins University School of Medicine, Baltimore, Maryland.
Richard L PragerDepartment of Cardiac Surgery, University of Michigan, Ann Arbor, Michigan; Michigan Society of Thoracic and Cardiovascular Surgeons Quality Collaborative.
Min ZhangDepartment of Biostatistics, University of Michigan, Ann Arbor, Michigan.
Roland A MatsouakaDuke Clinical Research Institute, Duke University, Durham, North Carolina.
Steven D HarringtonHeart and Vascular Institute, Henry Ford Macomb Hospitals, Clinton Township, Michigan.
Rachel S DokholyanDuke Clinical Research Institute, Duke University, Durham, North Carolina.
Steven F BollingDepartment of Cardiac Surgery, University of Michigan, Ann Arbor, Michigan.
Astrid FishstromDepartment of Cardiac Surgery, University of Michigan, Ann Arbor, Michigan.
Sara K PasqualiDepartment of Pediatrics, University of Michigan, Ann Arbor, Michigan.
David M ShahianMassachusetts General Hospital, Harvard Medical School, Boston, Massachusetts.
Donald S LikoskyDepartment of Cardiac Surgery, University of Michigan, Ann Arbor, Michigan; Michigan Society of Thoracic and Cardiovascular Surgeons Quality Collaborative. Electronic address: likosky@med.umich.edu.
Michigan Society of Thoracic and Cardiovascular Surgeons Quality Collaborative
University of Michigan–Ann Arbor · USClinical Research Institute · USDuke University · USHenry Ford Macomb Hospital · USJohns Hopkins Medicine · USMassachusetts General Hospital · USWest Virginia University · US

Funding

Optimizing Prevention of Healthcare-Acquired Infections After Cardiac SurgeryR01HS022535 · AHRQ · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI LIKOSKY, DONALD S · 2013 to 2016
$1.5M
AHRQ HHS R01 HS022535
6 · The paper itself

Abstract

backgroundAlthough conventional wisdom suggests that differences in patient risk profiles drive variability in postoperative pneumonia rates after coronary artery bypass grafting (CABG), this teaching has yet to be empirically tested. We determined to what extent patient risk factors account for hospital variation in pneumonia rates.

methodsWe studied 324,085 patients undergoing CABG between July 1, 2011, and December 31, 2013, across 998 hospitals using The Society of Thoracic Surgeons Adult Cardiac Database. We developed 5 models to estimate our incremental ability to explain hospital variation in pneumonia rates. Model 1 contained patient demographic characteristics and admission status, while Model 2 added patient risk factors. Model 3 added measures of pulmonary function, Model 4 added measures of cardiac anatomy and function and medications, and Model 5 further added measures of intraoperative and postoperative care.

resultsAlthough 9,175 patients (2.83%) experienced pneumonia, the median estimated distribution of pneumonia rates across hospitals was 2.5% (25th to 75th percentile: 1.5% to 4.0%). Wide variability in pneumonia rates was evident, with some hospitals having rates more than 6 times higher than others (10th to 90th percentile: 1.0% to 6.1%). Among all five models, Model 2 accounted for the most variability at 4.24%. In total, 2.05% of hospital variation in pneumonia rates was explained collectively by traditional patient factors, leaving 97.95% of variation unexplained.

conclusionsOur findings suggest that patient risk profiles only account for a fraction of hospital variation in pneumonia rates; enhanced understanding of other contributory factors (eg, processes of care) is required to lessen the likelihood of such nosocomial infections.

Indexed as

Postoperative ComplicationsAdultAgedCoronary Artery BypassCoronary Artery DiseaseCross InfectionFemaleFollow-Up StudiesHospital MortalityHumansMaleMiddle AgedPneumoniaRetrospective StudiesRisk FactorsTime Factors

Identifiers

PMID29174785
PMCPMC5783740
OpenAlexW2770302994

What OpenQuestion holds

Textmetadata
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Registered trials

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.