Search

Your search keyword '"Peng,Lige"' showing total 21 results
Start Over Author "Peng,Lige"
21 results on '"Peng,Lige"'

1. Characteristics, treatments, in-hospital and long-term outcomes among inpatients with acute exacerbation of chronic obstructive pulmonary disease in China: sex differences in a large cohort study

Author

Zhang, Jiarui, Yi, Qun, Zhou, Chen, Luo, Yuanming, Wei, Hailong, Ge, Huiqing, Liu, Huiguo, Zhang, Jianchu, Li, Xianhua, Xie, Xiufang, Pan, Pinhua, Yi, Mengqiu, Cheng, Lina, Zhou, Hui, Liu, Liang, Aili, Adila, Liu, Yu, Peng, Lige, Pu, Jiaqi, and Zhou, Haixia

Published
2024
Full Text
View/download PDF

4. Validation of the Rome Severity Classification of Chronic Obstructive Pulmonary Disease Exacerbation: A Multicenter Cohort Study

Author

Zeng,Jiaxin, Zhou,Chen, Yi,Qun, Luo,Yuanming, Wei,Hailong, Ge,Huiqing, Liu,Huiguo, Zhang,Jianchu, Li,Xianhua, Pan,Pinhua, Yi,Mengqiu, Cheng,Lina, Liu,Liang, Zhang,Jiarui, Peng,Lige, Pu,Jiaqi, Zhou,Haixia, Zeng,Jiaxin, Zhou,Chen, Yi,Qun, Luo,Yuanming, Wei,Hailong, Ge,Huiqing, Liu,Huiguo, Zhang,Jianchu, Li,Xianhua, Pan,Pinhua, Yi,Mengqiu, Cheng,Lina, Liu,Liang, Zhang,Jiarui, Peng,Lige, Pu,Jiaqi, and Zhou,Haixia

Abstract

Jiaxin Zeng,1,* Chen Zhou,2,* Qun Yi,1,3 Yuanming Luo,4 Hailong Wei,5 Huiqing Ge,6 Huiguo Liu,7 Jianchu Zhang,8 Xianhua Li,9 Pinhua Pan,10 Mengqiu Yi,11 Lina Cheng,11 Liang Liu,12 Jiarui Zhang,1 Lige Peng,1 Jiaqi Pu,1 Haixia Zhou1 On behalf of the MAGNET AECOPD Registry Investigators1Department of Respiratory and Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, Sichuan Province, People’s Republic of China; 2Center of Infectious Diseases, Division of Infectious Diseases in State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan Province, People’s Republic of China; 3Sichuan Cancer Hospital, University of Electronic Science and Technology of China, Chengdu, Sichuan Province, People’s Republic of China; 4State Key Laboratory of Respiratory Disease, Guangzhou Medical University, Guangzhou, Guangdong Province, People’s Republic of China; 5Department of Respiratory and Critical Care Medicine, People’s Hospital of Leshan, Leshan, Sichuan Province, People’s Republic of China; 6Department of Respiratory and Critical Care Medicine, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang Province, People’s Republic of China; 7Department of Respiratory and Critical Care Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei Province, People’s Republic of China; 8Department of Respiratory and Critical Care Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei Province, People’s Republic of China; 9Department of Respiratory and Critical Care Medicine, The First People’s Hospital of Neijiang City, Neijiang, Sichuan Province, People’s Republic of China; 10Department of Respiratory and Critical Care Medicine, Xiangya Hospital, Central South University, Changsha, Hunan Province, People’s Republic of China; 11Department of Emergency, First Peop

Published
2024

5. Validation of the Rome Severity Classification of Chronic Obstructive Pulmonary Disease Exacerbation: A Multicenter Cohort Study

Author

Zeng, Jiaxin, primary, Zhou, Chen, additional, Yi, Qun, additional, Luo, Yuanming, additional, Wei, Hailong, additional, Ge, Huiqing, additional, Liu, Huiguo, additional, Zhang, Jianchu, additional, Li, Xianhua, additional, Pan, Pinhua, additional, Yi, Mengqiu, additional, Cheng, Lina, additional, Liu, Liang, additional, Zhang, Jiarui, additional, Peng, Lige, additional, Pu, Jiaqi, additional, and Zhou, Haixia, additional

Published
2024
Full Text
View/download PDF

6. Elevated BUN Upon Admission as a Predictor of in-Hospital Mortality Among Patients with Acute Exacerbation of COPD: A Secondary Analysis of Multicenter Cohort Study

Author

Zhang,Jiarui, Qin,Yichun, Zhou,Chen, Luo,Yuanming, Wei,Hailong, Ge,Huiqing, Liu,Hui-Guo, Zhang,Jianchu, Li,Xianhua, Pan,Pinhua, Yi,Mengqiu, Cheng,Lina, Liu,Liang, Aili,Adila, Peng,Lige, Liu,Yu, Pu,Jiaqi, Yi,Qun, and Zhou,Haixia

Subjects
International Journal of Chronic Obstructive Pulmonary Disease
Abstract

Jiarui Zhang,1,&ast; Yichun Qin,2,&ast; Chen Zhou,3 Yuanming Luo,4 Hailong Wei,5 Huiqing Ge,6 Hui-Guo Liu,7 Jianchu Zhang,8 Xianhua Li,9 Pinhua Pan,10 Mengqiu Yi,11 Lina Cheng,11 Liang Liu,12 Adila Aili,1 Lige Peng,1 Yu Liu,1 Jiaqi Pu,1 Qun Yi,1,13,&ast; Haixia Zhou1,&ast; 1Department of Respiratory and Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, Sichuan Province, People’s Republic of China; 2State Key Laboratory of Oral Diseases and National Clinical Research Center for Oral Diseases, West China Hospital of Stomatology, Sichuan University, Chengdu, People’s Republic of China; 3West China School of Medicine, West China Hospital, Sichuan University, Chengdu, Sichuan Province, People’s Republic of China; 4State Key Laboratory of Respiratory Disease, Guangzhou Medical University, Guangzhou, Guangdong Province, People’s Republic of China; 5Department of Respiratory and Critical Care Medicine, People’s Hospital of Leshan, Leshan, Sichuan Province, People’s Republic of China; 6Department of Respiratory and Critical Care Medicine, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang Province, People’s Republic of China; 7Department of Respiratory and Critical Care Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei Province, People’s Republic of China; 8Department of Respiratory and Critical Care Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei Province, People’s Republic of China; 9Department of Respiratory and Critical Care Medicine, The First People’s Hospital of Neijiang City, Neijiang, Sichuan Province, People’s Republic of China; 10Department of Respiratory and Critical Care Medicine, Xiangya Hospital, Central South University, Changsha, Hunan Province, People’s Republic of China; 11Department of Emergency, First People’s Hospital of Jiujiang, Jiujiang, Jiangxi Province, People’s Republic of China; 12Department of Respiratory and Critical Care Medicine, The Affiliated Hospital of Chengdu University, Chengdu, Sichuan Province, People’s Republic of China; 13Sichuan Cancer Hospital, University of Electronic Science and Technology of China, Chengdu, Sichuan Province, People’s Republic of China&ast;These authors contributed equally to this workCorrespondence: Haixia Zhou; Qun Yi, Department of Respiratory and Critical Care Medicine, West China Hospital, Sichuan University, Guo-Xue-Xiang 37&num;, Wuhou District, Chengdu, Sichuan Province, 610041, People’s Republic of China, Tel/Fax +86-28-85422571, Email zhouhaixia@wchscu.cn; yiqun925@126.comBackground: High blood urea nitrogen (BUN) is observed in a subset of patients with acute exacerbation of COPD (AECOPD) and may be linked to clinical outcome, but findings from previous studies have been inconsistent.Methods: We performed a retrospective analysis of patients prospectively enrolled in the MAGNET AECOPD Registry study (ChiCTR2100044625). Receiver operating characteristic (ROC) was used to determine the level of BUN that discriminated survivors and non-survivors. Univariate and multivariate Cox proportional hazards regression analyses were performed to assess the impact of BUN on adverse outcomes.Results: Overall, 13,431 consecutive inpatients with AECOPD were included in this study, of whom 173 died, with the mortality of 1.29%. The non-survivors had higher levels of BUN compared with the survivors [9.5 (6.8– 15.3) vs 5.6 (4.3– 7.5) mmol/L, P < 0.001]. ROC curve analysis showed that the optimal cutoff of BUN level was 7.30 mmol/L for in-hospital mortality (AUC: 0.782; 95% CI: 0.748– 0.816; P < 0.001). After multivariate analysis, BUN level ≥ 7.3 mmol/L was an independent risk factor for in-hospital mortality (HR = 2.099; 95% CI: 1.378– 3.197, P = 0.001), also for invasive mechanical ventilation (HR = 1.540; 95% CI: 1.199– 1.977, P = 0.001) and intensive care unit admission (HR = 1.344; 95% CI: 1.117– 1.617, P = 0.002). Other independent prognostic factors for in-hospital mortality including age, renal dysfunction, heart failure, diastolic blood pressure, pulse rate, PaCO2 and D-dimer.Conclusion: BUN is an independent risk factor for in-hospital mortality in inpatients with AECOPD and may be used to identify serious (or severe) patients and guide the management of AECOPD.Clinical Trial Registration: MAGNET AECOPD; Chinese Clinical Trail Registry NO.: ChiCTR2100044625; Registered March 2021, URL: http://www.chictr.org.cn/showproj.aspx?proj=121626.Keywords: AECOPD, inpatients, blood urea nitrogen, mortality, adverse outcomes

Published
2023

7. Blood Eosinophils and Clinical Outcomes in Inpatients with Acute Exacerbation of Chronic Obstructive Pulmonary Disease: A Prospective Cohort Study

Author

Pu,Jiaqi, Yi,Qun, Luo,Yuanming, Wei,Hailong, Ge,Huiqing, Liu,Huiguo, Li,Xianhua, Zhang,Jianchu, Pan,Pinhua, Zhou,Hui, Zhou,Chen, Yi,Mengqiu, Cheng,Lina, Liu,Liang, Zhang,Jiarui, Peng,Lige, Aili,Adila, Liu,Yu, Zhou,Haixia, Pu,Jiaqi, Yi,Qun, Luo,Yuanming, Wei,Hailong, Ge,Huiqing, Liu,Huiguo, Li,Xianhua, Zhang,Jianchu, Pan,Pinhua, Zhou,Hui, Zhou,Chen, Yi,Mengqiu, Cheng,Lina, Liu,Liang, Zhang,Jiarui, Peng,Lige, Aili,Adila, Liu,Yu, and Zhou,Haixia

Abstract

Jiaqi Pu,1,&ast; Qun Yi,1,2,&ast; Yuanming Luo,3 Hailong Wei,4 Huiqing Ge,5 Huiguo Liu,6 Xianhua Li,7 Jianchu Zhang,8 Pinhua Pan,9 Hui Zhou,10 Chen Zhou,11 Mengqiu Yi,12 Lina Cheng,12 Liang Liu,10 Jiarui Zhang,1 Lige Peng,1 Adila Aili,1 Yu Liu,1 Haixia Zhou1 On behalf of the MAGNET AECOPD Registry Investigators1Department of Respiratory and Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, People’s Republic of China; 2Sichuan Cancer Hospital and Institution, Sichuan Cancer Center, Cancer Hospital Affiliate to School of Medicine, UESTC, Chengdu, People’s Republic of China; 3State Key Laboratory of Respiratory Disease, Guangzhou Medical University, Guangzhou, People’s Republic of China; 4Department of Respiratory and Critical Care Medicine, People’s Hospital of Leshan, Leshan, People’s Republic of China; 5Department of Respiratory and Critical Care Medicine, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, People’s Republic of China; 6Department of Respiratory and Critical Care Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, People’s Republic of China; 7Department of Respiratory and Critical Care Medicine, the First People’s Hospital of Neijiang City, Neijiang, People’s Republic of China; 8Department of Respiratory and Critical Care Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, People’s Republic of China; 9Department of Respiratory and Critical Care Medicine, Xiangya Hospital, Central South University, Changsha, People’s Republic of China; 10Department of Respiratory and Critical Care Medicine, The Affiliated Hospital of Chengdu University, Chengdu, People’s Republic of China; 11West China School of Medicine, West China Hospital, Sichuan University, Chengdu, People’s Republic of China; 12Department of Emergency, First People’s Hospital of Jiujiang, Jiu Jiang, People’

Published
2023

8. Blood Eosinophils and Clinical Outcomes in Inpatients with Acute Exacerbation of Chronic Obstructive Pulmonary Disease: A Prospective Cohort Study

Author

Pu, Jiaqi, primary, Yi, Qun, additional, Luo, Yuanming, additional, Wei, Hailong, additional, Ge, Huiqing, additional, Liu, Huiguo, additional, Li, Xianhua, additional, Zhang, Jianchu, additional, Pan, Pinhua, additional, Zhou, Hui, additional, Zhou, Chen, additional, Yi, Mengqiu, additional, Cheng, Lina, additional, Liu, Liang, additional, Zhang, Jiarui, additional, Peng, Lige, additional, Aili, Adila, additional, Liu, Yu, additional, and Zhou, Haixia, additional

Published
2023
Full Text
View/download PDF

9. Superior Predictive Value of D-Dimer to the Padua Prediction Score for Venous Thromboembolism in Inpatients with AECOPD: A Multicenter Cohort Study

Author

Zhou, Chen, primary, Guang, Yujie, additional, Luo, Yuanming, additional, Ge, Huiqing, additional, Wei, Hailong, additional, Liu, Huiguo, additional, Zhang, Jianchu, additional, Pan, Pinhua, additional, Zhang, Jiarui, additional, Peng, Lige, additional, Aili, Adila, additional, Liu, Yu, additional, Pu, Jiaqi, additional, Zhong, Xia, additional, Wang, Yixi, additional, Yi, Qun, additional, and Zhou, Haixia, additional

Published
2022
Full Text
View/download PDF

11. Superior Predictive Value of D-Dimer to the Padua Prediction Score for Venous Thromboembolism in Inpatients with AECOPD: A Multicenter Cohort Study

Author

Zhou,Chen, Guang,Yujie, Luo,Yuanming, Ge,Huiqing, Wei,Hailong, Liu,Huiguo, Zhang,Jianchu, Pan,Pinhua, Zhang,Jiarui, Peng,Lige, Aili,Adila, Liu,Yu, Pu,Jiaqi, Zhong,Xia, Wang,Yixi, Yi,Qun, Zhou,Haixia, Zhou,Chen, Guang,Yujie, Luo,Yuanming, Ge,Huiqing, Wei,Hailong, Liu,Huiguo, Zhang,Jianchu, Pan,Pinhua, Zhang,Jiarui, Peng,Lige, Aili,Adila, Liu,Yu, Pu,Jiaqi, Zhong,Xia, Wang,Yixi, Yi,Qun, and Zhou,Haixia

Abstract

Chen Zhou,1,&ast; Yujie Guang,1,&ast; Yuanming Luo,2 Huiqing Ge,3 Hailong Wei,4 Huiguo Liu,5 Jianchu Zhang,6 Pinhua Pan,7 Jiarui Zhang,8 Lige Peng,8 Adila Aili,8 Yu Liu,8 Jiaqi Pu,8 Xia Zhong,1 Yixi Wang,1 Qun Yi,8,9 Haixia Zhou8 On behalf of the MAGNET AECOPD Registry Investigators1West China School of Medicine, West China Hospital, Sichuan University, Chengdu, Sichuan Province, People’s Republic of China; 2State Key Laboratory of Respiratory Disease, Guangzhou Medical University, Guangzhou, Guangdong Province, People’s Republic of China; 3Department of Respiratory and Critical Care Medicine, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang Province, People’s Republic of China; 4Department of Respiratory and Critical Care Medicine, People’s Hospital of Leshan, Leshan, Sichuan Province, People’s Republic of China; 5Department of Respiratory and Critical Care Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei Province, People’s Republic of China; 6Department of Respiratory and Critical Care Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei Province, People’s Republic of China; 7Department of Respiratory and Critical Care Medicine, Xiangya Hospital, Central South University, Changsha, Hunan Province, People’s Republic of China; 8Department of Respiratory and Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, Sichuan Province, People’s Republic of China; 9Sichuan Cancer Hospital and Institution, Sichuan Cancer Center, Cancer Hospital Affiliate to School of Medicine, UESTC, Chengdu, Sichuan Province, People’s Republic of China&ast;These authors contributed equally to this workCorrespondence: Haixia Zhou, Department of Respiratory and Critical Care Medicine, West China Hospital, Sichuan University, Guo-Xue-Xiang 37&num;, Wuhou District, Chengdu, Sichuan Provi

Published
2022

17. Low diastolic blood pressure and adverse outcomes in inpatients with acute exacerbation of chronic obstructive pulmonary disease: A multicenter cohort study

Author

Zhou, Chen, primary, Yi, Qun, additional, Luo, Yuanming, additional, Wei, Hailong, additional, Ge, Huiqing, additional, Liu, Huiguo, additional, Li, Xianhua, additional, Zhang, Jianchu, additional, Pan, Pinhua, additional, Yi, Mengqiu, additional, Cheng, Lina, additional, Liu, Liang, additional, Zhang, Jiarui, additional, Peng, Lige, additional, Aili, Adila, additional, Liu, Yu, additional, Pu, Jiaqi, additional, and Zhou, Haixia, additional

Published
2003
Full Text
View/download PDF

18. Prediction Model of In-Hospital Death for Acute Exacerbation of Chronic Obstructive Pulmonary Disease Patients Admitted to Intensive Care Unit: The PD-ICU Score.

Author

Li, Xiaoqian, Yi, Qun, Luo, Yuanming, Wei, Hailong, Ge, Huiqing, Liu, Huiguo, Zhang, Jianchu, Li, Xianhua, Xie, Xiufang, Pan, Pinhua, Zhou, Hui, Liu, Liang, Zhou, Chen, Zhang, Jiarui, Peng, Lige, Pu, Jiaqi, Yuan, Jianlin, Chen, Xueqing, Tang, Yongjiang, and Zhou, Haixia

Subjects
*DISEASE risk factors, *CHRONIC obstructive pulmonary disease, *DIASTOLIC blood pressure, *BLOOD urea nitrogen, *INTENSIVE care patients
Abstract

Introduction: Patients with acute exacerbation of chronic obstructive pulmonary disease (AECOPD) admitted to intensive care unit (ICU) are exposed to poor clinical outcomes, and no specific prognostic models are available among this population. We aimed to develop and validate a risk score for prognosis prediction for these patients. Methods: This was a multicenter observation study. AECOPD patients admitted to ICU were included for model derivation from a prospective, multicenter cohort study. Logistic regression analysis was applied to identify independent predictors for in-hospital death and establish the prognostic risk score. The risk score was further validated and compared with DECAF, BAP-65, CURB-65, and APACHE II score in another multicenter cohort. Results: Five variables were identified as independent predictors for in-hospital death in APCOPD patients admitted to ICU, and a corresponding risk score (PD-ICU score) was established, which was composed of procalcitonin >0.5 μg/L, diastolic blood pressure <60 mm Hg, need for invasive mechanical ventilation, disturbance of consciousness, and blood urea nitrogen >7.2 mmol/L. Patients were classified into three risk categories according to the PD-ICU score. The in-hospital mortality of low-risk, intermediate-risk, and high-risk patients was 0.3%, 7.3%, and 27.9%, respectively. PD-ICU score displayed excellent discrimination ability with an area under the receiver-operating characteristic curve (AUC) of 0.815 in the derivation cohort and 0.754 in the validation cohort which outperformed other prognostic models. Conclusion: We derived and validated a simple and clinician-friendly prediction model (PD-ICU score) for in-hospital mortality among AECOPD patients admitted to ICU. With good performance and clinical practicability, this model may facilitate early risk stratification and optimal decision-making among these patients. [ABSTRACT FROM AUTHOR]

Published
2024
Full Text
View/download PDF

20. Inflammatory Biomarkers as Predictors of Symptomatic Venous Thromboembolism in Hospitalized Patients with AECOPD: A Multicenter Cohort Study.

Author

Zeng J, Feng J, Luo Y, Wei H, Ge H, Liu H, Zhang J, Li X, Pan P, Xie X, Yi M, Cheng L, Zhou H, Zhang J, Peng L, Pu J, Chen X, Yi Q, and Zhou H

Abstract

Aim: Venous thromboembolism (VTE) risk significantly increases in patients with an acute exacerbation of chronic obstructive pulmonary disease (AECOPD), which is characterized by an enhanced inflammatory response. This study aimed to evaluate the predictive value of inflammatory biomarkers for VTE in AECOPD., Methods: A prospective, multicenter study was conducted to include patients hospitalized for AECOPD. Inflammatory biomarkers on admission were compared between the patients who developed VTE during hospitalization and the patients without VTE. A logistic regression analysis was used to identify inflammatory biomarkers with an independently predictive value., Results: Among the 13,531 AECOPD inpatients, 405 (2.99%) developed VTE during hospitalization. Patients who developed VTE had higher levels of inflammatory biomarkers, including the white blood cell count, neutrophil percentage, systemic immune/inflammatory index, neutrophil to lymphocyte ratio (NLR), platelet to lymphocyte ratio, C-reactive protein (CRP), procalcitonin (PCT), and lactate dehydrogenase (LDH), and lower lymphocyte and eosinophil ratios (ESOR), platelet, and albumin (p all ＜0.05). NLR, LDH, CRP, PCT, and ESOR were identified as independent predictors of VTE (odds ratios (ORs) were 2.22, 1.95, 1.64, 1.59, and 1.37, respectively). The incidence of VTE increased with increasing NLR, LDH, CRP, and PCT quartiles, and a decreasing ESOR quartile. Among them, NLR and LDH had predictive capabilities for VTE that were comparable to the widely used Padua and IMPROVE scores., Conclusion: Easily available inflammatory parameters, such as NLR and LDH, can identify AECOPD patients at increased risk for VTE who may therefore be candidates for thromboprophylaxis.

Published
2024
Full Text
View/download PDF

21. Risk factors of in-hospital mortality and discriminating capacity of NIVO score in exacerbations of COPD requiring noninvasive ventilation.

Author

Zhang J, Yi Q, Zhou C, Luo Y, Wei H, Ge H, Liu H, Zhang J, Li X, Xie X, Pan P, Yi M, Cheng L, Zhou H, Liu L, Aili A, Liu Y, Peng L, Pu J, and Zhou H

Subjects
Humans, Aged, Male, Female, Risk Factors, Middle Aged, China epidemiology, Prospective Studies, Aged, 80 and over, Age Factors, Disease Progression, Glasgow Coma Scale, Registries, Anemia therapy, Anemia mortality, Risk Assessment methods, Prognosis, Noninvasive Ventilation statistics & numerical data, Hospital Mortality, Pulmonary Disease, Chronic Obstructive mortality, Pulmonary Disease, Chronic Obstructive therapy
Abstract

Background: Noninvasive mechanical ventilation (NIV) is recommended as the initial mode of ventilation to treat acute respiratory failure in patients with AECOPD. The Noninvasive Ventilation Outcomes (NIVO) score has been proposed to evaluate the prognosis in patients with AECOPD requiring assisted NIV. However, it is not validated in Chinese patients., Methods: We used data from the MAGNET AECOPD Registry study, which is a prospective, noninterventional, multicenter, real-world study conducted between September 2017 and July 2021 in China. Data for the potential risk factors of mortality were collected and the NIVO score was calculated, and the in-hospital mortality was evaluated using the NIVO risk score., Results: A total of 1164 patients were included in the study, and 57 patients (4.9%) died during their hospital stay. Multiple logistic regression analysis revealed that age ≥75 years, DBP <60 mmHg, Glasgow Coma Scale ≤14, anemia and BUN >7 mmol/L were independent predictors of in-hospital mortality. The in-hospital mortality was associated with an increase in the risk level of NIVO score and the difference was statistically significant ( p < .001). The NIVO risk score showed an acceptable accuracy for predicting the in-hospital mortality in AECOPD requiring assisted NIV (AUC: 0.657, 95% CI: 0.584-0.729, p < .001)., Conclusion: Our findings identified predictors of mortality in patients with AECOPD receiving NIV, providing useful information to identify severe patients and guide the management of AECOPD. The NIVO score showed an acceptable predictive value for AECOPD receiving NIV in Chinese patients, and additional studies are needed to develop and validate predictive scores based on specific populations., Competing Interests: Declaration of conflicting interestsThe author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Published
2024
Full Text
View/download PDF

Catalog

Books, media, physical & digital resources
See catalog results