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Clinical study on the relationship between frailty and prognosis of severe patients with respiratory function injury |
XU Jie YAO Xiujuan LIU Guangjie SHENG Haiyan WANG Xinmao PANG Jian LIU Xiaofang▲#br# |
Department of Respiratory and Critical Care Medicine, Beijing Tongren Hospital, Capital Medical University, Beijing 100730, China |
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Abstract Objective To explore the relationship between frailty and prognosis of severe patients with respiratory function injury. Methods The clinical data of 508 severe patients with respiratory function injury (partial pressure of oxygen < 80 mmHg) (1 mmHg=0.133 kPa) were retrospectively analyzed in Beijing Tongren Hospital, Capital Medical University from January 2016 to December 2021. According to the prognosis, they were divided into survival group (431 cases) and death group (77 cases). The basic data of the two groups were collected, and the clinical frailty scale score, acute renal failure, respiratory failure, and time of admission to the respiratory intensive care unit were recorded. Acute physiology and chronic health evaluationⅡ (APACHEⅡ) scores were calculated at 24 h after admission (APACHEⅡ-1), and APACHEⅡ scores were calculated again at 48-72 h after initial diagnosis and treatment (APACHEⅡ-3). The data of the two groups were compared and the influencing factors of the prognosis of severe patients with respiratory function injury were analyzed and the predictive value of frailty on death of patients was futher analyzed. Results Age, APACHEⅡ-1, APACHEⅡ-3, clinical frailty scale score, and proportion of acute renal failure and respiratory failure in death group were higher than those in survival group, the differences were statistically significant (P < 0.05). Age, clinical frailty scale score, acute renal failure, respiratory failure, and APACHEⅡ-3 were the influencing factors for the prognosis of severe patients with respiratory function injury (P < 0.05). Age, clinical frailty scale score, and APACHEⅡ-3 combined had moderate ability to predict the prognosis of severe patients with respiratory impairment. The area under the receiver operating characteristic curve (AUC) combined with age, clinical frailty scale score, and APACHEⅡ-3 was higher than that of age, clinical frailty scale score, and APACHEⅡ-3 alone (P < 0.05). The AUC of clinical frailty scale score was higher than that of age (P < 0.05). Conclusion Frailty is an independent risk factor in predicting the prognosis for severe patients with respiratory impairment. Clinical frailty scale score for severe patients with respiratory impairment can assist in the evaluation of prognosis.
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