Objective:To analyze the risk factors of Intensive Care Unit-Acquired Weakness, and to develop and verify the model.Methods:A total of 247 patients admitted to ICU patients from November 2018 to October 2019 were selected, and risk factors between ICU acquired weakness group ( n=106) and non-ICU acquired weakness group( n=141)were compared using logistic regression for model construction.The Hosmer-Lemeshow test was used to verify the goodness of fit of the model. The area under the ROC curve was used to test the model to predict the effects. From November 2019 to May 2020, 106 patients were recruited for application of the model. Results:The incidence of ICU acquired weakness in this study was 42.91%(106/247), and 44.34%(47/106),the study finally included age ( OR=1.043) ,mechanical ventilation time ( OR=1.140) , APACHE II score ( OR=1.081) , blood sugar ( OR=1.117) , lactic acid( OR=1.459) ,and neuromuscular blockers ( OR=3.499) to construct the risk prediction. The model formula was P=1/1+exp (- Z) =1/1+exp (8.808-0.042×age -1.252×neuromuscular blockers-0.078×APACHE II score -0.110×blood sugar -0.378×lactic acid -0.131×mechanical ventilation time. The area under the ROC curve of this model was 0.896 (95% CI: 0.824-0.914) , the maximum value of the Youden index was 0.577, and the corresponding sensitivity was 0.754,the specificity was 0.823,the cutoff value was 0.503. The model verification results the sensibility of 70.2%, the specificity of 88.1%, and the accuracy of 80.2%. Conclusion:The predictic model of ICU acquired weakness couducted in this study has satisfactory prediction effect, which can provide a reference for clinical screening of high-risk patients.

Objective:To explore the risk factors for myelosuppression in elderly lung cancer patients undergoing chemotherapy and construct a risk prediction model for myelosuppression in elderly lung cancer patients undergoing chemotherapy.Methods:Using the convenient sampling method, data of 228 elderly patients with lung cancer undergoing chemotherapy in Respiratory Department of a Class Ⅲ Grade A hospital in Zhenjiang from May 2018 to May 2019 were selected, and risk factors of adverse reactions of myelosuppression in patients were analyzed statistically. The binomial Logistic regression was applied to construct the prediction model and the area under the ROC curve was used to test the prediction effect of the model. The patient data from January to May 2020 were collected to validate the model.Results:Among the 228 patients, 75 patients developed myelosuppression, with an incidence of 32.89%. Multivariate analysis results showed that platinum-containing chemotherapy regimens, combined with other adverse reactions, decreased albumin before chemotherapy and decreased hemoglobin before chemotherapy were independent risk factors for myelosuppression in elderly lung cancer patients during chemotherapy ( P<0.05) , which were included in the model. The area under the ROC curve of the final model was 0.823, the maximum Youden index was 0.5, sensitivity was 81.3%, and specificity was 70.5%. The results of the verification data showed that the area under the ROC curve was 0.846, sensitivity was 90.4% and specificity was 68.2%. Conclusions:The prediction effect of this model is good, which can provide reference basis for clinical treatment and formulating nursing measures to prevent myelosuppression.