N-terminal pro-B-type Natriuretic Peptides’ Prognostic Utility Is Overestimated in Meta-analyses Using Study-specific Optimal Diagnostic Thresholds

Author:

Potgieter Danielle1,Simmers Dale1,Ryan Lisa1,Biccard Bruce M.1,Lurati-Buse Giovanna A.1,Cardinale Daniela M.1,Chong Carol P. W.1,Cnotliwy Miloslaw1,Farzi Sylvia I.1,Jankovic Radmilo J.1,Lim Wen Kwang1,Mahla Elisabeth1,Manikandan Ramaswamy1,Oscarsson Anna1,Phy Michael P.1,Rajagopalan Sriram1,Van Gaal William J.1,Waliszek Marek1,Rodseth Reitze N.1

Affiliation:

1. From the Department of Anaesthesia, University of Kwa-Zulu Natal, Inkosi Albert Luthuli Central Hospital, Durban, South Africa (D.P., D.S.); Department of Anaesthesia, Greys Hospital, Pietermaritzburg, South Africa (L.R.); Department of Anaesthetics, Inkosi Albert Luthuli Central Hospital, Nelson R. Mandela School of Medicine, University of KwaZulu-Natal, Durban, South Africa (B.M.B.); Department

Abstract

Abstract Background: N-terminal fragment B-type natriuretic peptide (NT-proBNP) prognostic utility is commonly determined post hoc by identifying a single optimal discrimination threshold tailored to the individual study population. The authors aimed to determine how using these study-specific post hoc thresholds impacts meta-analysis results. Methods: The authors conducted a systematic review of studies reporting the ability of preoperative NT-proBNP measurements to predict the composite outcome of all-cause mortality and nonfatal myocardial infarction at 30 days after noncardiac surgery. Individual patient-level data NT-proBNP thresholds were determined using two different methodologies. First, a single combined NT-proBNP threshold was determined for the entire cohort of patients, and a meta-analysis conducted using this single threshold. Second, study-specific thresholds were determined for each individual study, with meta-analysis being conducted using these study-specific thresholds. Results: The authors obtained individual patient data from 14 studies (n = 2,196). Using a single NT-proBNP cohort threshold, the odds ratio (OR) associated with an increased NT-proBNP measurement was 3.43 (95% CI, 2.08 to 5.64). Using individual study-specific thresholds, the OR associated with an increased NT-proBNP measurement was 6.45 (95% CI, 3.98 to 10.46). In smaller studies (<100 patients) a single cohort threshold was associated with an OR of 5.4 (95% CI, 2.27 to 12.84) as compared with an OR of 14.38 (95% CI, 6.08 to 34.01) for study-specific thresholds. Conclusions: Post hoc identification of study-specific prognostic biomarker thresholds artificially maximizes biomarker predictive power, resulting in an amplification or overestimation during meta-analysis of these results. This effect is accentuated in small studies.

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

Anesthesiology and Pain Medicine

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