A Retrospective Analysis of Causes for Readmission to Hospital and Intensive Care Unit in Patients Discharged from Intensive Care Units

被引:0
作者
Ulusaloglu, Ceyda [1 ]
Ceylan, Ilkay [2 ]
Girgin, Nermin Kelebek [3 ]
Iscimen, Remzi [3 ]
Kahveci, Ferda Sohret [3 ]
机构
[1] Bursa Gursu State Hosp, Clin Anesthesiol & Reanimat, Bursa, Turkey
[2] Univ Hlth Sci Turkey, Bursa Yuksek Ihtisas Training & Res Hosp, Clin Anesthesiol & Reanimat, Bursa, Turkey
[3] Bursa Uludag Univ, Dept Anesthesiol & Reanimat, Fac Med, Bursa, Turkey
来源
TURKISH JOURNAL OF INTENSIVE CARE-TURK YOGUN BAKIM DERGISI | 2022年 / 20卷 / 02期
关键词
SWIFT score; intensive care; readmission; acute physiology and chronic health evaluation-II score; WORKLOAD INDEX; TRANSFER SCORE; RISK-FACTORS; STABILITY; ASSOCIATION; SEVERITY; ILLNESS;
D O I
10.4274/tybd.galenos.2021.09709
中图分类号
R4 [临床医学];
学科分类号
1002 ; 100602 ;
摘要
Objective: Intensive care unit (ICU) readmission is a common and unwanted situation. Mortality rates, length of stay in ICU and treatment expenses are also higher in readmitted patients. This study aimed to examine the hospital/ICU readmission rates and risk factors among patients discharged from the ICU. Materials and Methods: Patients older than 18 years who were hospitalised in the ICU between January 1, 2012 and October 31, 2016 and were re-admitted to the hospital/ICU within 30 days after discharge were retrospectively analysed. Results: A total of 510 patients met the inclusion criteria, of whom 91 (17.84%) patients were readmitted to the ICU. The average age was higher (p=0.002) among the readmitted patients. The acute physiology and chronic health evaluation-II and sequential organ failure assessment scores at admission and discharge, stability and workload index for transfer (SWIFT) scores at discharge and comorbid disease rates were higher among readmitted patients (p<0.05 for all). Patients discharged with mechanical ventilation support had higher readmission rates (p=0.041). In our risk analysis model, factors that increased the risk of readmission were identified as age [odds ratio (OR), 1.02; 95% confidence interval (CI), 1.01-1.03] and presence of renal disease (OR, 5.72; 95% CI, 2.81-11.65) among patient-related reasons. Conclusion: High acute physiology and chronic health evaluation and SWIFT scores during discharge as well as presence of comorbidities can predict hospital/ICU readmission.
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收藏
页码:93 / 101
页数:9
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