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Tashima H, Ito M, Kawakami M, Ishii R, Miyazaki Y, Akimoto T, Tsujikawa M, Kobayashi K, Kondo K, Tsuji T. Risk Factors for Post-Stroke Pneumonia in a Patient Population with Subacute Stroke: A Retrospective Cohort Study. J Clin Med 2023; 12:5835. [PMID: 37762776 PMCID: PMC10532161 DOI: 10.3390/jcm12185835] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2023] [Revised: 09/02/2023] [Accepted: 09/06/2023] [Indexed: 09/29/2023] Open
Abstract
The risk of pneumonia and death is higher in acute stroke patients with signs of pulmonary infection on chest computed tomography (CT) at admission. However, few reports have examined the incidence of pneumonia and its predictors in subacute stroke patients. The aim of this study was to examine factors related to post-stroke pneumonia in subacute stroke patients. A total of 340 subacute stroke patients were included. Univariable logistic regression analysis was performed using variables that may contribute to pneumonia, with the development of pneumonia as the dependent variable. Multivariable logistic regression analysis using the three independent variables with the lowest p-values on the univariable logistic regression analysis was also performed to calculate adjusted odds ratios. Twenty-two patients developed pneumonia during hospitalization. The univariable logistic regression analysis showed that the top three items were serum albumin (Alb), functional Oral Intake Scale (FOIS) score, and signs of pulmonary infection on chest CT at admission. Multivariable logistic regression analysis adjusted for these three items showed that the presence of signs of pulmonary infection on chest CT at admission was the independent variable (OR: 4.45; 95% CI: 1.54-12.9). When signs of pulmonary infection are seen on admission chest CT, careful follow-up is necessary because pneumonia is significantly more likely to occur during hospitalization.
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Affiliation(s)
- Hiroyuki Tashima
- Department of Rehabilitation Medicine, Tokyo Bay Rehabilitation Hospital, Chiba 275-0026, Japan
- Department of Rehabilitation Medicine, Keio University School of Medicine, Tokyo 160-8582, Japan
| | - Mari Ito
- Department of Rehabilitation Medicine, Tokyo Bay Rehabilitation Hospital, Chiba 275-0026, Japan
- Department of Rehabilitation Medicine, Keio University School of Medicine, Tokyo 160-8582, Japan
| | - Michiyuki Kawakami
- Department of Rehabilitation Medicine, Tokyo Bay Rehabilitation Hospital, Chiba 275-0026, Japan
- Department of Rehabilitation Medicine, Keio University School of Medicine, Tokyo 160-8582, Japan
| | - Ryota Ishii
- Department of Biostatistics, Faculty of Medicine, University of Tsukuba, Ibaraki 305-8577, Japan
| | - Yuta Miyazaki
- Department of Rehabilitation Medicine, Tokyo Bay Rehabilitation Hospital, Chiba 275-0026, Japan
- Department of Rehabilitation Medicine, Keio University School of Medicine, Tokyo 160-8582, Japan
| | - Tomonori Akimoto
- Department of Rehabilitation Medicine, Tokyo Bay Rehabilitation Hospital, Chiba 275-0026, Japan
- Department of Rehabilitation Medicine, Keio University School of Medicine, Tokyo 160-8582, Japan
| | - Masahiro Tsujikawa
- Department of Rehabilitation Medicine, Tokyo Bay Rehabilitation Hospital, Chiba 275-0026, Japan
- Department of Rehabilitation Medicine, Keio University School of Medicine, Tokyo 160-8582, Japan
| | - Keigo Kobayashi
- Department of Radiology, Yatsu Hoken Hospital, Chiba 275-0026, Japan
| | - Kunitsugu Kondo
- Department of Rehabilitation Medicine, Tokyo Bay Rehabilitation Hospital, Chiba 275-0026, Japan
- Department of Rehabilitation Medicine, Keio University School of Medicine, Tokyo 160-8582, Japan
| | - Tetsuya Tsuji
- Department of Rehabilitation Medicine, Keio University School of Medicine, Tokyo 160-8582, Japan
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