Predictors of 30-day readmission following hospitalisation with community-acquired pneumonia

被引:17
作者
Chakrabarti, Biswajit [1 ]
Lane, Steven [2 ]
Jenks, Tom [3 ]
Higgins, Joanne [3 ]
Kanwar, Elizabeth [3 ]
Allen, Martin [4 ]
Wotton, Dan [5 ]
机构
[1] Liverpool Univ Hosp NHS Fdn Trust, Liverpool, Merseyside, England
[2] Univ Liverpool, Biostat, Liverpool, Merseyside, England
[3] Adv Qual Alliance, Salford, Lancs, England
[4] Univ Hosp North Midlands, Stoke, England
[5] Univ Liverpool, Inst Infect Vet & Ecol Sci, Liverpool, Merseyside, England
关键词
pneumonia; respiratory infection; CLINICAL STABILITY; HEALTH; OUTCOMES; RISK; CARE; REHOSPITALIZATION; ASSOCIATION; MORTALITY; IMPACT; TIME;
D O I
10.1136/bmjresp-2021-000883
中图分类号
R56 [呼吸系及胸部疾病];
学科分类号
摘要
Background There is a paucity of UK data to aid healthcare professionals in predicting which patients hospitalised with community-acquired pneumonia (CAP) are at greatest risk of 30-day readmission and to determine which readmissions may occur soonest. Methods An analysis of CAP cases admitted to nine UK hospitals participating in the Advancing Quality Pneumonia Programme. Results An analysis was performed of 12 157 subjects hospitalised with CAP in the Advancing Quality Programme Database. 26% of those discharged were readmitted within 30 days with readmission predicted by comorbidity including non-metastatic cancer, diabetes with complications and chronic kidney disease. 41% and 66% of readmissions occurred within 7 and 14 days of discharge, respectively. Patients readmitted within 14 days were more likely to have metastatic cancer (6.6% vs 4.5%; p=0.03) compared with those readmitted at 15-30 days. Conclusions A quarter of patients hospitalised for CAP are readmitted within 30 days; of those, two-thirds are readmitted within 2 weeks. Further research is required to determine whether such readmissions might be preventable through imple menting measures including in-hospital cross-specialty comorbidity management, convalescence in intermediate care, targeted rehabilitation and advanced care planning.
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