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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Elsevier
2025-02-01
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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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