Development of a nomogram to predict the mortality risk in elderly patients with acute lung injury
CHEN Chan1, LIANG Feiyu1, ZHANG Jing1, YANG Jingwen1, SHI Xuan1, DU Xiaohong1, SU Huafang2
1.Department of Geriatrics, the First Affiliated Hospital of Wenzhou Medical University, Wenzhou 325015, China; 2.Department of Radiotherapy and Chemotherapy, the First Affiliated Hospital of Wenzhou Medical University, Wenzhou 325015, China
CHEN Chan,LIANG Feiyu,ZHANG Jing, et al. Development of a nomogram to predict the mortality risk in elderly patients with acute lung injury[J]. JOURNAL OF WEZHOU MEDICAL UNIVERSITY, 2021, 51(6): 449-453.
Abstract:Objective: To explore the independent risk factors in the prognosis of elderly patients with acute lung injury (ALI) and to develop a nomogram to predict their mortality risk. Methods: Clinical data of 325 patients with acute lung injury from MIMIC-III database and 138 ALI cases in the First Affiliated Hospital of Wenzhou Medical University were collected. Univariate and multivariate logistic regression analyses were used to screen out the risk factors for death, and a nomogram model was constructed to predict short-term possible death. Results: Multivariate logistic regression analysis showed that the lowest systolic blood pressure, lactic acid and PT were risk factors for death in elderly patients with acute lung injury (P<0.05). The C index of nomogram model was 0.712 (95%CI=0.656-0.767), and the C index of external validation nomogram was 0.753 (95%CI=0.671-0.836), with the internal and external calibration curves close to the standard curve. Conclusion: This nomogram model can be used to evaluate the prognosis of elderly patients with acute lung injury, and has good accuracy and differentiation
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