The LENT index predicts 30 day outcomes following hospitalization for heart failure

Abstract Aims The LE index (Length of hospitalization plus number of Emergent visits ≤6 months) predicts 30 day all‐cause readmission or death following hospitalization for heart failure (HF). We combined N‐terminal pro‐B type natriuretic peptide (NT‐proBNP) levels with the LE index to derive and va...

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Main Authors: Harriette GC Van Spall, Tauben Averbuch, Shun Fu Lee, Urun Erbas Oz, Mamas A Mamas, James Louis Januzzi, Dennis T Ko
Format: Article
Language:English
Published: Wiley 2021-02-01
Series:ESC Heart Failure
Subjects:
Online Access:https://doi.org/10.1002/ehf2.13109
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spelling doaj-f95e1461de184b8c9fcd883cf6b389c52021-03-31T03:15:45ZengWileyESC Heart Failure2055-58222021-02-018151852610.1002/ehf2.13109The LENT index predicts 30 day outcomes following hospitalization for heart failureHarriette GC Van Spall0Tauben Averbuch1Shun Fu Lee2Urun Erbas Oz3Mamas A Mamas4James Louis Januzzi5Dennis T Ko6Department of Medicine McMaster University Hamilton Ontario CanadaDepartment of Medicine McMaster University Hamilton Ontario CanadaDepartment of Health Research Methods, Evidence, and Impact McMaster University Hamilton Ontario CanadaICES, McMaster University Hamilton Ontario CanadaKeele Cardiovascular Research Group Keele University Keele UKCardiology Division, Massachusetts General Hospital and Division of Heart Failure Trials Baim Institute for Clinical Research Boston MA USASunnybrook Health Sciences Centre and ICES Toronto Ontario CanadaAbstract Aims The LE index (Length of hospitalization plus number of Emergent visits ≤6 months) predicts 30 day all‐cause readmission or death following hospitalization for heart failure (HF). We combined N‐terminal pro‐B type natriuretic peptide (NT‐proBNP) levels with the LE index to derive and validate the LENT index for risk prediction at the point of care on the day of hospital discharge. Methods and results In this prospective cohort sub‐study of the Patient‐centred Care Transitions in HF clinical trial, we used log‐binomial regression models with LE index and either admission or discharge NT‐proBNP as the predictors and 30 day composite all‐cause readmission or death as the primary outcome. No other variables were added to the model. We used regression coefficients to derive the LENT index and bootstrapping analysis for internal validation. There were 772 patients (mean [SD] age 77.0 [12.4] years, 49.9% female). Each increment in the LE index was associated with a 25% increased risk of the primary outcome (RR 1.25, 95% CI 1.16–1.35; C‐statistic 0.63). Adjusted for the LE index, every 10‐fold increase in admission and discharge NT‐proBNP was associated with a 48% (RR 1.48; 95% CI 1.10, 1.99; C‐statistic 0.64; net reclassification index [NRI] 0.19) and 56% (RR 1.56; 95% CI 1.08, 2.25; C‐statistic 0.64; NRI 0.21) increased risk of the primary outcome, respectively. The predicted probability of the primary outcome increased to a similar extent with incremental LENT, regardless of whether admission or discharge NT‐proBNP level was used. Conclusions The point‐of‐care LENT index predicts 30 day composite all‐cause readmission or death among patients hospitalized with HF, with improved risk reclassification compared with the LE index. The performance of this simple, 3‐variable index ‐ without adjustment for comorbidities ‐ is comparable to complex risk prediction models in HF. Trial Registration: ClinicalTrials.gov Identifier: NCT02112227https://doi.org/10.1002/ehf2.13109Heart failureHospitalizationRisk prediction
collection DOAJ
language English
format Article
sources DOAJ
author Harriette GC Van Spall
Tauben Averbuch
Shun Fu Lee
Urun Erbas Oz
Mamas A Mamas
James Louis Januzzi
Dennis T Ko
spellingShingle Harriette GC Van Spall
Tauben Averbuch
Shun Fu Lee
Urun Erbas Oz
Mamas A Mamas
James Louis Januzzi
Dennis T Ko
The LENT index predicts 30 day outcomes following hospitalization for heart failure
ESC Heart Failure
Heart failure
Hospitalization
Risk prediction
author_facet Harriette GC Van Spall
Tauben Averbuch
Shun Fu Lee
Urun Erbas Oz
Mamas A Mamas
James Louis Januzzi
Dennis T Ko
author_sort Harriette GC Van Spall
title The LENT index predicts 30 day outcomes following hospitalization for heart failure
title_short The LENT index predicts 30 day outcomes following hospitalization for heart failure
title_full The LENT index predicts 30 day outcomes following hospitalization for heart failure
title_fullStr The LENT index predicts 30 day outcomes following hospitalization for heart failure
title_full_unstemmed The LENT index predicts 30 day outcomes following hospitalization for heart failure
title_sort lent index predicts 30 day outcomes following hospitalization for heart failure
publisher Wiley
series ESC Heart Failure
issn 2055-5822
publishDate 2021-02-01
description Abstract Aims The LE index (Length of hospitalization plus number of Emergent visits ≤6 months) predicts 30 day all‐cause readmission or death following hospitalization for heart failure (HF). We combined N‐terminal pro‐B type natriuretic peptide (NT‐proBNP) levels with the LE index to derive and validate the LENT index for risk prediction at the point of care on the day of hospital discharge. Methods and results In this prospective cohort sub‐study of the Patient‐centred Care Transitions in HF clinical trial, we used log‐binomial regression models with LE index and either admission or discharge NT‐proBNP as the predictors and 30 day composite all‐cause readmission or death as the primary outcome. No other variables were added to the model. We used regression coefficients to derive the LENT index and bootstrapping analysis for internal validation. There were 772 patients (mean [SD] age 77.0 [12.4] years, 49.9% female). Each increment in the LE index was associated with a 25% increased risk of the primary outcome (RR 1.25, 95% CI 1.16–1.35; C‐statistic 0.63). Adjusted for the LE index, every 10‐fold increase in admission and discharge NT‐proBNP was associated with a 48% (RR 1.48; 95% CI 1.10, 1.99; C‐statistic 0.64; net reclassification index [NRI] 0.19) and 56% (RR 1.56; 95% CI 1.08, 2.25; C‐statistic 0.64; NRI 0.21) increased risk of the primary outcome, respectively. The predicted probability of the primary outcome increased to a similar extent with incremental LENT, regardless of whether admission or discharge NT‐proBNP level was used. Conclusions The point‐of‐care LENT index predicts 30 day composite all‐cause readmission or death among patients hospitalized with HF, with improved risk reclassification compared with the LE index. The performance of this simple, 3‐variable index ‐ without adjustment for comorbidities ‐ is comparable to complex risk prediction models in HF. Trial Registration: ClinicalTrials.gov Identifier: NCT02112227
topic Heart failure
Hospitalization
Risk prediction
url https://doi.org/10.1002/ehf2.13109
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