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A modified acute respiratory distress syndrome prediction score: a multicenter cohort study in China

  
@article{JTD24591,
	author = {Jianfeng Xie and Ling Liu and Yi Yang and Wenkui Yu and Maoqin Li and Kaijiang Yu and Ruiqiang Zheng and Jie Yan and Xue Wang and Guolong Cai and Jianguo Li and Qin Gu and Hongsheng Zhao and Xinwei Mu and Xiaochun Ma and Haibo Qiu},
	title = {A modified acute respiratory distress syndrome prediction score: a multicenter cohort study in China},
	journal = {Journal of Thoracic Disease},
	volume = {10},
	number = {10},
	year = {2018},
	keywords = {},
	abstract = {Background: Early recognition of the risks of acute respiratory distress syndrome (ARDS) and prevention of the development of ARDS may be more effective in improving patient outcomes. We performed the present study to determine the ARDS risk factors in a Chinese population and validate a score to predict the development of ARDS.
Methods: This was an observational multicenter cohort study performed in 13 tertiary hospitals in China. Patients admitted into participating intensive care units (ICUs) from January 1 to January 31, 2012, and from January 1 to January 10, 2013, were enrolled in a retrospective derivation cohort and a prospective validation cohort, respectively. In the derivation cohort, the potential risk factors of ARDS were collected. The confirmed risk factors were determined with univariate and multivariate logistic regression analyses, and then the modified ARDS prediction score (MAPS) was established. We prospectively enrolled patients to verify the accuracy of MAPS.
Results: A total of 479 and 198 patients were enrolled into the retrospective derivation cohort and the prospective validation cohort, respectively. A total of 93 (19.4%) patients developed ARDS in the derivation cohort. Acute pancreatitis, pneumonia, hypoalbuminemia, acidosis, and high respiratory rate were the risk factors for ARDS. The MAPS discriminated patients who developed ARDS from those who did not, with an area under the curve (AUC) of 0.809 [95% confidence interval (CI), 0.758−0.859, P},
	issn = {2077-6624},	url = {https://jtd.amegroups.org/article/view/24591}
}