Development and validation of a risk model for in-hospital worsening heart failure from the Acute Decompensated Heart Failure National Registry (ADHERE)

Adam D. DeVore, Melissa A. Greiner, Puza P. Sharma, Laura G. Qualls, Phillip J. Schulte, Lauren B. Cooper, Robert J. Mentz, Peter Pang, Gregg C. Fonarow, Lesley H. Curtis, Adrian F. Hernandez

Research output: Contribution to journalArticle

7 Citations (Scopus)

Abstract

Background A subset of patients hospitalized with acute heart failure experiences in-hospital worsening heart failure, defined as persistent or worsening signs or symptoms requiring an escalation of therapy. Methods We analyzed data from the Acute Decompensated Heart Failure National Registry (ADHERE) linked to Medicare claims to develop and validate a risk model for in-hospital worsening heart failure. Our definition of in-hospital worsening heart failure included events such as escalation of medical therapy (eg, inotropic medications) >12 hours after admission. We considered candidate risk prediction variables routinely assessed at admission, including age, medical history, biomarkers, and renal function. We used logistic regression with robust standard errors to generate a risk model in a 66% random derivation sample; we validated the model in the remaining 34%. We evaluated the calibration and discrimination of the model in both samples. Results We evaluated 23,696 patients hospitalized with acute heart failure. Baseline characteristics were well matched in the derivation and validation samples, and the occurrence of in-hospital worsening heart failure was similar in both samples (15.4% and 15.6%, respectively). In the multivariable model, the strongest predictors of in-hospital worsening heart failure were increased troponin and creatinine. The model was well calibrated and had good discrimination in the derivation sample (c statistic, 0.74) and validation sample (c statistic, 0.72). Conclusions The ADHERE worsening heart failure risk model is a clinical tool with good discrimination for use in patients hospitalized with acute heart failure to identify those at increased risk for in-hospital worsening heart failure. This tool may be useful to target treatment strategies for patients at high risk for in-hospital worsening heart failure.

Original languageEnglish (US)
Pages (from-to)198-205
Number of pages8
JournalAmerican Heart Journal
Volume178
DOIs
StatePublished - Aug 1 2016

Fingerprint

Registries
Heart Failure
Troponin
Medicare
Calibration
Signs and Symptoms
Creatinine
Therapeutics
Biomarkers
Logistic Models
Kidney

ASJC Scopus subject areas

  • Cardiology and Cardiovascular Medicine

Cite this

Development and validation of a risk model for in-hospital worsening heart failure from the Acute Decompensated Heart Failure National Registry (ADHERE). / DeVore, Adam D.; Greiner, Melissa A.; Sharma, Puza P.; Qualls, Laura G.; Schulte, Phillip J.; Cooper, Lauren B.; Mentz, Robert J.; Pang, Peter; Fonarow, Gregg C.; Curtis, Lesley H.; Hernandez, Adrian F.

In: American Heart Journal, Vol. 178, 01.08.2016, p. 198-205.

Research output: Contribution to journalArticle

DeVore, AD, Greiner, MA, Sharma, PP, Qualls, LG, Schulte, PJ, Cooper, LB, Mentz, RJ, Pang, P, Fonarow, GC, Curtis, LH & Hernandez, AF 2016, 'Development and validation of a risk model for in-hospital worsening heart failure from the Acute Decompensated Heart Failure National Registry (ADHERE)', American Heart Journal, vol. 178, pp. 198-205. https://doi.org/10.1016/j.ahj.2016.04.021
DeVore, Adam D. ; Greiner, Melissa A. ; Sharma, Puza P. ; Qualls, Laura G. ; Schulte, Phillip J. ; Cooper, Lauren B. ; Mentz, Robert J. ; Pang, Peter ; Fonarow, Gregg C. ; Curtis, Lesley H. ; Hernandez, Adrian F. / Development and validation of a risk model for in-hospital worsening heart failure from the Acute Decompensated Heart Failure National Registry (ADHERE). In: American Heart Journal. 2016 ; Vol. 178. pp. 198-205.
@article{9cc137ea5d9d486baf83c0da00cbec30,
title = "Development and validation of a risk model for in-hospital worsening heart failure from the Acute Decompensated Heart Failure National Registry (ADHERE)",
abstract = "Background A subset of patients hospitalized with acute heart failure experiences in-hospital worsening heart failure, defined as persistent or worsening signs or symptoms requiring an escalation of therapy. Methods We analyzed data from the Acute Decompensated Heart Failure National Registry (ADHERE) linked to Medicare claims to develop and validate a risk model for in-hospital worsening heart failure. Our definition of in-hospital worsening heart failure included events such as escalation of medical therapy (eg, inotropic medications) >12 hours after admission. We considered candidate risk prediction variables routinely assessed at admission, including age, medical history, biomarkers, and renal function. We used logistic regression with robust standard errors to generate a risk model in a 66{\%} random derivation sample; we validated the model in the remaining 34{\%}. We evaluated the calibration and discrimination of the model in both samples. Results We evaluated 23,696 patients hospitalized with acute heart failure. Baseline characteristics were well matched in the derivation and validation samples, and the occurrence of in-hospital worsening heart failure was similar in both samples (15.4{\%} and 15.6{\%}, respectively). In the multivariable model, the strongest predictors of in-hospital worsening heart failure were increased troponin and creatinine. The model was well calibrated and had good discrimination in the derivation sample (c statistic, 0.74) and validation sample (c statistic, 0.72). Conclusions The ADHERE worsening heart failure risk model is a clinical tool with good discrimination for use in patients hospitalized with acute heart failure to identify those at increased risk for in-hospital worsening heart failure. This tool may be useful to target treatment strategies for patients at high risk for in-hospital worsening heart failure.",
author = "DeVore, {Adam D.} and Greiner, {Melissa A.} and Sharma, {Puza P.} and Qualls, {Laura G.} and Schulte, {Phillip J.} and Cooper, {Lauren B.} and Mentz, {Robert J.} and Peter Pang and Fonarow, {Gregg C.} and Curtis, {Lesley H.} and Hernandez, {Adrian F.}",
year = "2016",
month = "8",
day = "1",
doi = "10.1016/j.ahj.2016.04.021",
language = "English (US)",
volume = "178",
pages = "198--205",
journal = "American Heart Journal",
issn = "0002-8703",
publisher = "Mosby Inc.",

}

TY - JOUR

T1 - Development and validation of a risk model for in-hospital worsening heart failure from the Acute Decompensated Heart Failure National Registry (ADHERE)

AU - DeVore, Adam D.

AU - Greiner, Melissa A.

AU - Sharma, Puza P.

AU - Qualls, Laura G.

AU - Schulte, Phillip J.

AU - Cooper, Lauren B.

AU - Mentz, Robert J.

AU - Pang, Peter

AU - Fonarow, Gregg C.

AU - Curtis, Lesley H.

AU - Hernandez, Adrian F.

PY - 2016/8/1

Y1 - 2016/8/1

N2 - Background A subset of patients hospitalized with acute heart failure experiences in-hospital worsening heart failure, defined as persistent or worsening signs or symptoms requiring an escalation of therapy. Methods We analyzed data from the Acute Decompensated Heart Failure National Registry (ADHERE) linked to Medicare claims to develop and validate a risk model for in-hospital worsening heart failure. Our definition of in-hospital worsening heart failure included events such as escalation of medical therapy (eg, inotropic medications) >12 hours after admission. We considered candidate risk prediction variables routinely assessed at admission, including age, medical history, biomarkers, and renal function. We used logistic regression with robust standard errors to generate a risk model in a 66% random derivation sample; we validated the model in the remaining 34%. We evaluated the calibration and discrimination of the model in both samples. Results We evaluated 23,696 patients hospitalized with acute heart failure. Baseline characteristics were well matched in the derivation and validation samples, and the occurrence of in-hospital worsening heart failure was similar in both samples (15.4% and 15.6%, respectively). In the multivariable model, the strongest predictors of in-hospital worsening heart failure were increased troponin and creatinine. The model was well calibrated and had good discrimination in the derivation sample (c statistic, 0.74) and validation sample (c statistic, 0.72). Conclusions The ADHERE worsening heart failure risk model is a clinical tool with good discrimination for use in patients hospitalized with acute heart failure to identify those at increased risk for in-hospital worsening heart failure. This tool may be useful to target treatment strategies for patients at high risk for in-hospital worsening heart failure.

AB - Background A subset of patients hospitalized with acute heart failure experiences in-hospital worsening heart failure, defined as persistent or worsening signs or symptoms requiring an escalation of therapy. Methods We analyzed data from the Acute Decompensated Heart Failure National Registry (ADHERE) linked to Medicare claims to develop and validate a risk model for in-hospital worsening heart failure. Our definition of in-hospital worsening heart failure included events such as escalation of medical therapy (eg, inotropic medications) >12 hours after admission. We considered candidate risk prediction variables routinely assessed at admission, including age, medical history, biomarkers, and renal function. We used logistic regression with robust standard errors to generate a risk model in a 66% random derivation sample; we validated the model in the remaining 34%. We evaluated the calibration and discrimination of the model in both samples. Results We evaluated 23,696 patients hospitalized with acute heart failure. Baseline characteristics were well matched in the derivation and validation samples, and the occurrence of in-hospital worsening heart failure was similar in both samples (15.4% and 15.6%, respectively). In the multivariable model, the strongest predictors of in-hospital worsening heart failure were increased troponin and creatinine. The model was well calibrated and had good discrimination in the derivation sample (c statistic, 0.74) and validation sample (c statistic, 0.72). Conclusions The ADHERE worsening heart failure risk model is a clinical tool with good discrimination for use in patients hospitalized with acute heart failure to identify those at increased risk for in-hospital worsening heart failure. This tool may be useful to target treatment strategies for patients at high risk for in-hospital worsening heart failure.

UR - http://www.scopus.com/inward/record.url?scp=84989313035&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84989313035&partnerID=8YFLogxK

U2 - 10.1016/j.ahj.2016.04.021

DO - 10.1016/j.ahj.2016.04.021

M3 - Article

C2 - 27502870

AN - SCOPUS:84989313035

VL - 178

SP - 198

EP - 205

JO - American Heart Journal

JF - American Heart Journal

SN - 0002-8703

ER -