Construction of risk prediction model and risk score table for infant heart failure hospital death based on white blood cell count to total protein ratio

The study analyzed 544 infants (1–36 months) with heart failure, aiming to correlate WBC/TP ratio with mortality and create a predictive model. Lasso regression identified significant mortality-associated clinical indices; logistic regression then built a death prediction model with an AUC of 0.755....

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Main Authors: Shuai Shang, Meng Wei, Huasheng Lv, Xiaoyan Liang, Yanmei Lu, Baopeng Tang
Format: Article
Language:English
Published: Elsevier 2025-02-01
Series:Heliyon
Online Access:http://www.sciencedirect.com/science/article/pii/S2405844025007455
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author Shuai Shang
Meng Wei
Huasheng Lv
Xiaoyan Liang
Yanmei Lu
Baopeng Tang
author_facet Shuai Shang
Meng Wei
Huasheng Lv
Xiaoyan Liang
Yanmei Lu
Baopeng Tang
author_sort Shuai Shang
collection DOAJ
description The study analyzed 544 infants (1–36 months) with heart failure, aiming to correlate WBC/TP ratio with mortality and create a predictive model. Lasso regression identified significant mortality-associated clinical indices; logistic regression then built a death prediction model with an AUC of 0.755. Calibration and DCA curves indicated model accuracy and clinical utility. Risk stratification revealed higher mortality in the high-risk group, emphasizing WBC/TP as predictors and the model's value for early high-risk patient identification in infant heart failure.
format Article
id doaj-art-24402c2c7d0b4034b53b502b413db081
institution Kabale University
issn 2405-8440
language English
publishDate 2025-02-01
publisher Elsevier
record_format Article
series Heliyon
spelling doaj-art-24402c2c7d0b4034b53b502b413db0812025-02-02T05:29:05ZengElsevierHeliyon2405-84402025-02-01113e42365Construction of risk prediction model and risk score table for infant heart failure hospital death based on white blood cell count to total protein ratioShuai Shang0Meng Wei1Huasheng Lv2Xiaoyan Liang3Yanmei Lu4Baopeng Tang5Department of Cardiac Pacing and Electrophysiology, The First Affiliated Hospital of Xinjiang Medical University, No. 137, South Liyushan Road, Xinshi Zone, Urumqi, China; Xinjiang Key Laboratory of Cardiac Electrophysiology and Remodeling, The First Affiliated Hospital of Xinjiang Medical University, No. 137, South Liyushan Road, Xinshi Zone, Urumqi, ChinaDepartment of Cardiac Pacing and Electrophysiology, The First Affiliated Hospital of Xinjiang Medical University, No. 137, South Liyushan Road, Xinshi Zone, Urumqi, China; Xinjiang Key Laboratory of Cardiac Electrophysiology and Remodeling, The First Affiliated Hospital of Xinjiang Medical University, No. 137, South Liyushan Road, Xinshi Zone, Urumqi, ChinaDepartment of Cardiac Pacing and Electrophysiology, The First Affiliated Hospital of Xinjiang Medical University, No. 137, South Liyushan Road, Xinshi Zone, Urumqi, China; Xinjiang Key Laboratory of Cardiac Electrophysiology and Remodeling, The First Affiliated Hospital of Xinjiang Medical University, No. 137, South Liyushan Road, Xinshi Zone, Urumqi, ChinaDepartment of Cardiac Pacing and Electrophysiology, The First Affiliated Hospital of Xinjiang Medical University, No. 137, South Liyushan Road, Xinshi Zone, Urumqi, China; Xinjiang Key Laboratory of Cardiac Electrophysiology and Remodeling, The First Affiliated Hospital of Xinjiang Medical University, No. 137, South Liyushan Road, Xinshi Zone, Urumqi, ChinaDepartment of Cardiac Pacing and Electrophysiology, The First Affiliated Hospital of Xinjiang Medical University, No. 137, South Liyushan Road, Xinshi Zone, Urumqi, China; Xinjiang Key Laboratory of Cardiac Electrophysiology and Remodeling, The First Affiliated Hospital of Xinjiang Medical University, No. 137, South Liyushan Road, Xinshi Zone, Urumqi, China; Corresponding author. Department of Cardiac Pacing and Electrophysiology, The First Affiliated Hospital of Xinjiang Medical University, No. 137, South Liyushan Road, Xinshi Zone, Urumqi, China.Department of Cardiac Pacing and Electrophysiology, The First Affiliated Hospital of Xinjiang Medical University, No. 137, South Liyushan Road, Xinshi Zone, Urumqi, China; Xinjiang Key Laboratory of Cardiac Electrophysiology and Remodeling, The First Affiliated Hospital of Xinjiang Medical University, No. 137, South Liyushan Road, Xinshi Zone, Urumqi, China; Corresponding author. Department of Cardiac Pacing and Electrophysiology, The First Affiliated Hospital of Xinjiang Medical University, No. 137, South Liyushan Road, Xinshi Zone, Urumqi, China.The study analyzed 544 infants (1–36 months) with heart failure, aiming to correlate WBC/TP ratio with mortality and create a predictive model. Lasso regression identified significant mortality-associated clinical indices; logistic regression then built a death prediction model with an AUC of 0.755. Calibration and DCA curves indicated model accuracy and clinical utility. Risk stratification revealed higher mortality in the high-risk group, emphasizing WBC/TP as predictors and the model's value for early high-risk patient identification in infant heart failure.http://www.sciencedirect.com/science/article/pii/S2405844025007455
spellingShingle Shuai Shang
Meng Wei
Huasheng Lv
Xiaoyan Liang
Yanmei Lu
Baopeng Tang
Construction of risk prediction model and risk score table for infant heart failure hospital death based on white blood cell count to total protein ratio
Heliyon
title Construction of risk prediction model and risk score table for infant heart failure hospital death based on white blood cell count to total protein ratio
title_full Construction of risk prediction model and risk score table for infant heart failure hospital death based on white blood cell count to total protein ratio
title_fullStr Construction of risk prediction model and risk score table for infant heart failure hospital death based on white blood cell count to total protein ratio
title_full_unstemmed Construction of risk prediction model and risk score table for infant heart failure hospital death based on white blood cell count to total protein ratio
title_short Construction of risk prediction model and risk score table for infant heart failure hospital death based on white blood cell count to total protein ratio
title_sort construction of risk prediction model and risk score table for infant heart failure hospital death based on white blood cell count to total protein ratio
url http://www.sciencedirect.com/science/article/pii/S2405844025007455
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