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Development and Validation of a Nomogram for Predicting Heparin Resistance in Neonates and Young Infants Undergoing Cardiac Surgery: A Retrospective Study
被引:1
|作者:
Gao, Peng
[1
]
Zhang, Yang
[2
]
Jin, Yu
[3
]
Zhang, Peiyao
[3
]
Wang, Wenting
[3
]
Liu, Jinping
[3
]
机构:
[1] Chinese Acad Med Sci & Peking Union Med Coll, Peking Union Med Coll Hosp, Dept Anesthesiol, Beijing, Peoples R China
[2] Chinese Acad Med Sci & Peking Union Med Coll, Dept Lab Med, Fuwai Hosp, Natl Ctr Cardiovasc Dis, Beijing, Peoples R China
[3] Chinese Acad Med Sci & Peking Union Med Coll, Natl Ctr Cardiovasc Dis, Fuwai Hosp, Dept Cardiopulm Bypass, Beijing, Peoples R China
关键词:
RECOMBINANT HUMAN ANTITHROMBIN;
FRESH-FROZEN PLASMA;
CARDIOPULMONARY BYPASS;
ANTICOAGULATION;
CHILDREN;
RESPONSIVENESS;
SENSITIVITY;
COAGULATION;
MANAGEMENT;
VARIABLES;
D O I:
10.1213/ANE.0000000000006507
中图分类号:
R614 [麻醉学];
学科分类号:
100217 ;
摘要:
BACKGROUND:Heparin resistance (HR) is a common finding in pediatric cardiac surgery and generally refers to decreased sensitivity to heparin. Antithrombin (AT) deficiency is considered the primary mechanism of HR; however, the etiology of HR may be multifactorial. Early identification of HR might help optimize heparin anticoagulation management. This study aimed to develop a predictive nomogram for HR in neonates and young infants undergoing cardiac surgery.METHODS:From January 2020 to August 2022, a total of 296 pediatric patients 1 to 180 days of age were included in this retrospective study. The patients were randomly divided into development and validation cohorts in a 7:3 ratio. Univariable logistic regression and the Least Absolute Shrinkage and Selection Operator (LASSO) regularization were used for variable selection. A multivariable logistic regression was performed to identify predictors and establish a nomogram to predict HR risk. Discrimination, calibration, and clinical usefulness were assessed in the development and validation cohorts.RESULTS:After the multistep variable selection, AT activity, platelet count, and fibrinogen were predictors for HR in neonates and young infants. The prediction model constructed using these 3 factors achieved an area under the receiver operating characteristic curve (ROC-AUC) of 0.874 and 0.873 in the development and validation cohorts. The Hosmer-Lemeshow test did not find evidence of a lack of fit (P = .768). The calibration curve of the nomogram was close to the ideal diagonal line. Furthermore, the model performed well in neonate and infant subgroups.CONCLUSIONS:A nomogram based on preoperative variables was developed to predict the HR risk in neonates and young infants undergoing cardiac surgery. This provides clinicians with a simple tool for the early prediction of HR, which may help optimize heparin anticoagulation strategies in this vulnerable patient population.
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页码:1233 / 1241
页数:9
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