Literature DB >> 27939586

Use of Biomarkers to Predict Readmission for Congestive Heart Failure.

Sangita Sudharshan1, Eric Novak2, Karl Hock3, Mitchell G Scott4, Edward M Geltman2.   

Abstract

Acute decompensated heart failure (ADHF) is a major reason for repeated hospitalizations. Identifying those patients with ADHF at risk for readmission is critical so that preventive interventions can be implemented. Biomarkers such as B-type natriuretic peptide (BNP), high-sensitivity troponin I, and galectin-3 (Gal-3) assessed at discharge may be useful, although their role in predicting short-term readmission is not well defined in the literature. We enrolled and had follow-up data for 101 participants admitted to our facility from April 2013 to March 2015 with a primary diagnosis of ADHF. Gal-3, high-sensitivity troponin I, and BNP were obtained within 48 hours before hospital discharge after management of ADHF. Gal-3 was assessed using 2 commercially available assays. We compared subjects who were and were not readmitted. Discharge BNP was found to be a significant predictor of 30- and 60-day readmission (area under the curve [AUC] 0.69 [p = 0.046], AUC 0.7 [p = 0.005], respectively). The addition of Gal-3 to discharge BNP provided significantly improved prediction of 60-day readmission. Gal-3 alone was found to be a significant predictor of 60-day readmission in patients with preserved ejection fraction (AUC 0.85, p <0.001). The net reclassification improvement was 55.2 (p = 0.037). Using multivariate analysis, for every 100 pg/L BNP increase, the probability of readmission increased by approximately 10%, and for every 1-ng/ml Gal-3 increase, the probability further increased 8%. A statistically significant net reclassification improvement was not found on examination of 30-day readmission. In conclusion, measurement of both Gal-3 and BNP at hospital discharge provides significant prediction of hospital readmission within 60 days. When combined, the prediction of readmission is significantly improved.
Copyright © 2016 Elsevier Inc. All rights reserved.

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Year:  2016        PMID: 27939586     DOI: 10.1016/j.amjcard.2016.10.022

Source DB:  PubMed          Journal:  Am J Cardiol        ISSN: 0002-9149            Impact factor:   2.778


  8 in total

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Review 2.  Reappraisal of Inflammatory Biomarkers in Heart Failure.

Authors:  Thanat Chaikijurajai; W H Wilson Tang
Journal:  Curr Heart Fail Rep       Date:  2020-02

Review 3.  Biomarkers in Acute Heart Failure: Diagnosis, Prognosis, and Treatment.

Authors:  Nicholas Wettersten
Journal:  Int J Heart Fail       Date:  2021-02-15

4.  The Association Between Novel Biomarkers and 1-Year Readmission or Mortality After Cardiac Surgery.

Authors:  Jeffrey P Jacobs; Shama S Alam; Sherry L Owens; Devin M Parker; Michael Rezaee; Donald S Likosky; David M Shahian; Marshall L Jacobs; Heather Thiessen-Philbrook; Moritz Wyler von Ballmoos; Kevin Lobdell; Todd MacKenzie; Allen D Everett; Chirag R Parikh; Jeremiah R Brown
Journal:  Ann Thorac Surg       Date:  2018-06-01       Impact factor: 4.330

5.  Prognostic Value of Troponin in Patients with Atrial Fibrillation Admitted to an Emergency Department: Review and Meta-Analysis.

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6.  Electronic medical record-based model to predict the risk of 90-day readmission for patients with heart failure.

Authors:  Bo-Yu Tan; Jun-Yuan Gu; Hong-Yan Wei; Li Chen; Su-Lan Yan; Nan Deng
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7.  Diagnostic Value of Serum Concentration of Galectin-3 in Patients With Heart Failure With Preserved Ejection Fraction.

Authors:  Jing Jiang; Baojun Yang; Ying Sun; Jing Jin; Zhiying Zhao; Songming Chen
Journal:  Front Cardiovasc Med       Date:  2022-01-24

Review 8.  Readmission Risk Prediction Model for Patients with Chronic Heart Failure: A Systematic Review and Meta-Analysis.

Authors:  Jing Liu; Ping Liu; Mei-Rong Lei; Hong-Wei Zhang; Ao-Lin You; Xiao-Rong Luan
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  8 in total

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