Preoperative <i>N</i>-Terminal Pro–B-Type Natriuretic Peptide and Cardiovascular Events After Noncardiac Surgery
Bibliographic record
Abstract
Letters16 June 2020Preoperative N-Terminal Pro–B-Type Natriuretic Peptide and Cardiovascular Events After Noncardiac SurgeryEmmanuelle Duceppe, MD, Diane Heels-Ansdell, MSc, and P.J. Devereaux, MD, PhDEmmanuelle Duceppe, MDMcMaster University, Hamilton, Ontario, Canada (E.D., D.H., P.D.), Diane Heels-Ansdell, MScMcMaster University, Hamilton, Ontario, Canada (E.D., D.H., P.D.), and P.J. Devereaux, MD, PhDMcMaster University, Hamilton, Ontario, Canada (E.D., D.H., P.D.)Author, Article, and Disclosure Informationhttps://doi.org/10.7326/L20-0269 SectionsAboutFull TextPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissions ShareFacebookTwitterLinkedInRedditEmail IN RESPONSE:Dr. Gupta and colleagues commented on the relationship between BMI and NT-proBNP levels. In post hoc analysis, 10 176 of 10 404 patients in our cohort had an available BMI; 1214 (11.9%) of these patients met our primary composite outcome. The interaction term between BMI as a continuous variable and NT-proBNP was not significant (P = 0.051). We used BMI as a continuous variable, because exploring an association between a continuous variable that has been categorized a priori using arbitrary thresholds without first showing the association using the continuous data has been shown to result in type I error inflation and ...References1. Barnwell-Ménard JL, Li Q, Cohen AA. Effects of categorization method, regression type, and variable distribution on the inflation of type-I error rate when categorizing a confounding variable. Stat Med. 2015;34:936-949. [PMID: 25504513] doi:10.1002/sim.6387 CrossrefMedlineGoogle Scholar2. Royston P, Altman DG, Sauerbrei W. Dichotomizing continuous predictors in multiple regression: a bad idea. Stat Med. 2006;25:127-141. [PMID: 16217841] CrossrefMedlineGoogle Scholar3. Das SR, Drazner MH, Dries DL, et al. Impact of body mass and body composition on circulating levels of natriuretic peptides: results from the Dallas Heart Study. Circulation. 2005;112:2163-2168. [PMID: 16203929] CrossrefMedlineGoogle Scholar4. Costello-Boerrigter LC, Boerrigter G, Redfield MM, et al. Amino-terminal pro-B-type natriuretic peptide and B-type natriuretic peptide in the general community: determinants and detection of left ventricular dysfunction. J Am Coll Cardiol. 2006;47:345-53. [PMID: 16412859] CrossrefMedlineGoogle Scholar Author, Article, and Disclosure InformationAffiliations: McMaster University, Hamilton, Ontario, Canada (E.D., D.H., P.D.)Disclosures: Disclosures can be viewed at www.acponline.org/authors/icmje/ConflictOfInterestForms.do?msNum=M19-2501. PreviousarticleNextarticle Advertisement FiguresReferencesRelatedDetailsSee AlsoPreoperative N-Terminal Pro–B-Type Natriuretic Peptide and Cardiovascular Events After Noncardiac Surgery Emmanuelle Duceppe , Ameen Patel , Matthew T.V. Chan , Otavio Berwanger , Gareth Ackland , Peter A. Kavsak , Reitze Rodseth , Bruce Biccard , Clara K. Chow , Flavia K. Borges , Gordon Guyatt , Rupert Pearse , Daniel I. Sessler , Diane Heels-Ansdell , Andrea Kurz , Chew Yin Wang , Wojciech Szczeklik , Sadeesh Srinathan , Amit X. Garg , Shirley Pettit , Erin N. Sloan , James L. Januzzi Jr. , Matthew McQueen , Giovanna Lurati Buse , Nicholas L. Mills , Lin Zhang , Robert Sapsford , Guillaume Paré , Michael Walsh , Richard Whitlock , Andre Lamy , Stephen Hill , Lehana Thabane , Salim Yusuf , and P.J. Devereaux Preoperative N-Terminal Pro–B-Type Natriuretic Peptide and Cardiovascular Events After Noncardiac Surgery Nisha Bhudia , Ameet Bakhai , and Rachel Baumber Preoperative N-Terminal Pro–B-Type Natriuretic Peptide and Cardiovascular Events After Noncardiac Surgery Neelesh Gupta , Rajkumar Doshi , and Vineet Meghrajani Metrics Cited byAssessment and Correction of the Cardiac Complications Risk in Non-cardiac Operations – What's New?Preventing Myocardial Injury Following Non-Cardiac Surgery: A Potential Role for Preoperative Antioxidant Therapy with Ubiquinone 16 June 2020Volume 172, Issue 12Page: 843KeywordsBody mass indexCardiac surgeryCohort studiesDisclosureHeartHeart diseasesLongitudinal studiesN terminal pro brain natriuretic peptidesNatriuretic peptidesSurgery ePublished: 16 June 2020 Issue Published: 16 June 2020 Copyright & PermissionsCopyright © 2020 by American College of Physicians. All Rights Reserved.PDF downloadLoading ...
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".