干旱区生态环境知识资源中心(Arid): Development and Internal Validation of a Nomogram to Predict Mortality During the ICU Stay of Thoracic Fracture Patients Without Neurological Compromise: An Analysis of the MIMIC-III Clinical Database

Arid

DOI	10.3389/fpubh.2021.818439
	Development and Internal Validation of a Nomogram to Predict Mortality During the ICU Stay of Thoracic Fracture Patients Without Neurological Compromise: An Analysis of the MIMIC-III Clinical Database
	Wang, Haosheng; Ou, Yangyang; Fan, Tingting; Zhao, Jianwu; Kang, Mingyang; Dong, Rongpeng; Qu, Yang
通讯作者	Qu, Y (corresponding author)，Second Hosp Jilin Univ, Dept Orthoped, Changchun, Peoples R China.
来源期刊	FRONTIERS IN PUBLIC HEALTH
EISSN	2296-2565
出版年	2021
卷号	9
英文摘要	Background: This study aimed to develop and validate a nomogram for predicting mortality in patients with thoracic fractures without neurological compromise and hospitalized in the intensive care unit.Methods: A total of 298 patients from the Medical Information Mart for Intensive Care III (MIMIC-III) database were included in the study, and 35 clinical indicators were collected within 24 h of patient admission. Risk factors were identified using the least absolute shrinkage and selection operator (LASSO) regression. A multivariate logistic regression model was established, and a nomogram was constructed. Internal validation was performed by the 1,000 bootstrap samples; a receiver operating curve (ROC) was plotted, and the area under the curve (AUC), sensitivity, and specificity were calculated. In addition, the calibration of our model was evaluated by the calibration curve and Hosmer-Lemeshow goodness-of-fit test (HL test). A decision curve analysis (DCA) was performed, and the nomogram was compared with scoring systems commonly used during clinical practice to assess the net clinical benefit.Results: Indicators included in the nomogram were age, OASIS score, SAPS II score, respiratory rate, partial thromboplastin time (PTT), cardiac arrhythmias, and fluid-electrolyte disorders. The results showed that our model yielded satisfied diagnostic performance with an AUC value of 0.902 and 0.883 using the training set and on internal validation. The calibration curve and the Hosmer-Lemeshow goodness-of-fit (HL). The HL tests exhibited satisfactory concordance between predicted and actual outcomes (P = 0.648). The DCA showed a superior net clinical benefit of our model over previously reported scoring systems.Conclusion: In summary, we explored the incidence of mortality during the ICU stay of thoracic fracture patients without neurological compromise and developed a prediction model that facilitates clinical decision making. However, external validation will be needed in the future.
英文关键词	intensive care units nomogram spinal fractures prediction model mortality
类型	Article
语种	英语
开放获取类型	gold, Green Published
收录类别	SCI-E ; SSCI
WOS记录号	WOS:000743705300001
WOS关键词	INTENSIVE-CARE-UNIT ; LONG-TERM SURVIVAL ; SPINE INJURIES ; OSTEOPOROTIC FRACTURE ; PATTERN-RECOGNITION ; ATRIAL-FIBRILLATION ; TRAUMA PATIENTS ; COAGULOPATHY ; ADMISSION ; COMPLICATIONS
WOS类目	Public, Environmental & Occupational Health
WOS研究方向	Public, Environmental & Occupational Health
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/375660
作者单位	[Wang, Haosheng; Ou, Yangyang; Zhao, Jianwu; Kang, Mingyang; Dong, Rongpeng; Qu, Yang] Second Hosp Jilin Univ, Dept Orthoped, Changchun, Peoples R China; [Fan, Tingting] Baoji City Hosp Tradit Chinese Med, Dept Endocrinol, Baoji, Peoples R China
推荐引用方式 GB/T 7714	Wang, Haosheng,Ou, Yangyang,Fan, Tingting,et al. Development and Internal Validation of a Nomogram to Predict Mortality During the ICU Stay of Thoracic Fracture Patients Without Neurological Compromise: An Analysis of the MIMIC-III Clinical Database[J],2021,9.
APA	Wang, Haosheng.,Ou, Yangyang.,Fan, Tingting.,Zhao, Jianwu.,Kang, Mingyang.,...&Qu, Yang.(2021).Development and Internal Validation of a Nomogram to Predict Mortality During the ICU Stay of Thoracic Fracture Patients Without Neurological Compromise: An Analysis of the MIMIC-III Clinical Database.FRONTIERS IN PUBLIC HEALTH,9.
MLA	Wang, Haosheng,et al."Development and Internal Validation of a Nomogram to Predict Mortality During the ICU Stay of Thoracic Fracture Patients Without Neurological Compromise: An Analysis of the MIMIC-III Clinical Database".FRONTIERS IN PUBLIC HEALTH 9(2021).