Tianjin Medical Journal ›› 2024, Vol. 52 ›› Issue (5): 486-489.doi: 10.11958/20231011

• Clinical Research • Previous Articles     Next Articles

Construction of acquired weakness risk prediction model in intensive care unit

WANG Ling(), LONG Dengyan   

  1. Department of Medical Intensive Care Unit, People's Hospital of Qiandongnan Miao and Dong Autonomous Prefecture, Kaili 556000, China
  • Received:2023-07-10 Revised:2023-11-24 Published:2024-05-15 Online:2024-05-09

Abstract:

Objective To construct a risk prediction model for intensive care unit-acquired weakness (ICU-AW) to guide clinical prevention and treatment strategies. Methods The correlation between gender, age, age-adjusted Charlson Comorbidity Index (aCCI), injecting albumin, heart failure, rehabilitation treatment, midazolam dosage, norepinephrine dosage and mechanical ventilation duration in 1 063 patients admitted to the intensive care unit was analyzed. Independent risk factors were identified to establish the prediction model, and the predictive ability of the model was analyzed. Results Among 1 063 patients, 370 developed ICU-AW. Logistic regression analysis identified advanced age, higher aCCI, prolonged mechanical ventilation duration, increased midazolam and norepinephrine dosages, and heart failure as independent risk factors for ICU-AW, while rehabilitation treatment and injecting albumin were identified as independent protective factors. The regression equation of the prediction model was: Logit (P) = 0.017 × age + 0.008 × mechanical ventilation duration + 0.006 × norepinephrine dosage - 0.832 × rehabilitation treatment - 0.648 × injecting albumin + 1.224 × aCCI + 0.017 × midazolam dosage + 1.834 × heart failure - 6.806. The area under the curve (AUC) of the model was 0.908 (0.890-0.925), with the sensitivity of 82.20% and specificity of 82.40%. Conclusion The model constructed using these variables demonstrates good predictive efficiency and can provide new insights for clinical prevention and treatment of ICU-AW.

Key words: intensive care unit-acquired weakness, clinical prevention and treatment, independent risk factors, predictive model

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