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Han X, Wang H, Chen L, Wang Y, Li H, Zhou F, Xing X, Zhang C, Suo L, Wang J, Yu G, Wang G, Yao X, Yu H, Wang L, Liu M, Xue C, Liu B, Zhu X, Li Y, Xiao Y, Cui X, Li L, Liu X, Cao B. Impact of inhaled corticosteroid use on elderly chronic pulmonary disease patients with community acquired pneumonia. Chin Med J (Engl) 2024; 137:241-243. [PMID: 38111015 PMCID: PMC10798772 DOI: 10.1097/cm9.0000000000002936] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2023] [Indexed: 12/20/2023] Open
Affiliation(s)
- Xiudi Han
- Department of Pulmonary and Critical Care Medicine, Qingdao Municipal Hospital, Qingdao, Shandong 266011, China
| | - Hong Wang
- Department of Nosocomial Infection, Qingdao Municipal Hospital, Qingdao, Shandong 266011, China
| | - Liang Chen
- Department of Infectious Diseases, Nanjing Lishui People’s Hospital, Nanjing, Jiangsu 211213,China
| | - Yimin Wang
- Department of Pulmonary and Critical Care Medicine, National Clinical Research Center of Respiratory Diseases, Center for Respiratory Diseases, China-Japan Friendship Hospital, Beijing 100020, China
| | - Hui Li
- Department of Pulmonary and Critical Care Medicine, National Clinical Research Center of Respiratory Diseases, Center for Respiratory Diseases, China-Japan Friendship Hospital, Beijing 100020, China
| | - Fei Zhou
- Department of Pulmonary and Critical Care Medicine, National Clinical Research Center of Respiratory Diseases, Center for Respiratory Diseases, China-Japan Friendship Hospital, Beijing 100020, China
| | - Xiqian Xing
- Department of Respiratory Medicine, Yan’an Hospital Affiliated to Kunming Medical University, Kunming, Yunnan 652199, China
| | - Chunxiao Zhang
- Department of Respiratory Medicine, Beijing Huimin Hospital, Beijing 100054,China
| | - Lijun Suo
- Department of Pulmonary and Critical Care Medicine, Zibo Municipal Hospital, Zibo, Shandong 255000,China
| | - Jinxiang Wang
- Department of Respiratory Medicine, Beijing Luhe Hospital, Capital Medical University, Beijing 101149, China
| | - Guohua Yu
- Department of Pulmonary and Critical Care Medicine, Weifang No. 2 People’s Hospital, Weifang, Shandong 261599, China
| | - Guangqiang Wang
- Department of Respiratory Medicine, Shandong University Affiliated Qilu Hospital (Qingdao), Qingdao, Shandong 266035, China
| | - Xuexin Yao
- Department of Respiratory Medicine, the 2nd Hospital of Beijing Corps, Chinese Armed Police Forces, Beijing 100044, China
| | - Hongxia Yu
- Department of Infectious Disease, Qingdao University Medical College Affiliated Yantai Yuhuangding Hospital, Yantai, Shandong 100191, China
| | - Lei Wang
- Department of Respiratory Medicine, Rizhao Chinese Medical Hospital Affiliated to Shandong Chinese Medical University, Rizhao, Shandong 276800, China
| | - Meng Liu
- Department of Respiratory Medicine, Beijing Hospital of Traditional Chinese Medicine Affiliated to Capital Medical University, Beijing 100010, China
| | - Chunxue Xue
- Department of Respiratory Medicine, Beijing Luhe Hospital, Capital Medical University, Beijing 101149, China
| | - Bo Liu
- Department of Pulmonary and Critical Care Medicine, Zibo Municipal Hospital, Zibo, Shandong 255000,China
| | - Xiaoli Zhu
- Department of Occupational Medicine and Toxicology, Beijing Chao-Yang Hospital, Capital Medical University, Beijing 100020, China
| | - Yanli Li
- Department of Pulmonary and Critical Care Medicine, National Clinical Research Center of Respiratory Diseases, Center for Respiratory Diseases, China-Japan Friendship Hospital, Beijing 100020, China
| | - Ying Xiao
- Department of Pulmonary and Critical Care Medicine, National Clinical Research Center of Respiratory Diseases, Center for Respiratory Diseases, China-Japan Friendship Hospital, Beijing 100020, China
| | - Xiaojing Cui
- Department of Pulmonary and Critical Care Medicine, National Clinical Research Center of Respiratory Diseases, Center for Respiratory Diseases, China-Japan Friendship Hospital, Beijing 100020, China
| | - Lijuan Li
- Department of Pulmonary and Critical Care Medicine, National Clinical Research Center of Respiratory Diseases, Center for Respiratory Diseases, China-Japan Friendship Hospital, Beijing 100020, China
| | - Xuedong Liu
- Department of Pulmonary and Critical Care Medicine, Qingdao Municipal Hospital, Qingdao, Shandong 266011, China
| | - Bin Cao
- Department of Pulmonary and Critical Care Medicine, National Clinical Research Center of Respiratory Diseases, Center for Respiratory Diseases, China-Japan Friendship Hospital, Beijing 100020, China
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Huang D, He D, Gong L, Yao R, Wang W, Yang L, Zhang Z, He Q, Wu Z, Shi Y, Liang Z. A prediction model for hospital mortality in patients with severe community-acquired pneumonia and chronic obstructive pulmonary disease. Respir Res 2022; 23:250. [PMID: 36117161 PMCID: PMC9482754 DOI: 10.1186/s12931-022-02181-9] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2022] [Accepted: 09/13/2022] [Indexed: 11/28/2022] Open
Abstract
Background No personalized prediction model or standardized algorithm exists to identify those at high risk of death among severe community-acquired pneumonia (SCAP) patients with chronic obstructive pulmonary disease (COPD). The aim of this study was to investigate the risk factors and to develop a useful nomogram for prediction of mortality in those patients. Methods We performed a retrospective, observational, cohort study in the intensive care unit (ICU) of West China Hospital, Sichuan University with all consecutive SCAP patients with COPD between December 2011 and December 2018. The clinical data within 24 h of admission to ICU were collected. The primary outcome was hospital mortality. We divided the patients into training and testing cohorts (70% versus 30%) randomly. In the training cohort, univariate and multivariate logistic regression analysis were used to identify independent risk factors applied to develop a nomogram. The prediction model was assessed in both training and testing cohorts. Results Finally, 873 SCAP patients with COPD were included, among which the hospital mortality was 41.4%. In training cohort, the independent risk factors for hospital mortality were increased age, diabetes, chronic renal diseases, decreased systolic blood pressure (SBP), and elevated fibrinogen, interleukin 6 (IL-6) and blood urea nitrogen (BUN). The C index was 0.840 (95% CI 0.809–0.872) in training cohort and 0.830 (95% CI 0.781–0.878) in testing cohort. Furthermore, the time-dependent AUC, calibration plots, DCA and clinical impact curves indicated the model had good predictive performance. Significant association of risk stratification based on nomogram with mortality was also found (P for trend < 0.001). The restricted cubic splines suggested that estimated associations between these predictors and hospital mortality were all linear relationships. Conclusion We developed a prediction model including seven risk factors for hospital mortality in patients with SCAP and COPD. It can be used for early risk stratification in clinical practice after more external validation. Supplementary Information The online version contains supplementary material available at 10.1186/s12931-022-02181-9.
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