COPD exacerbations: prevention, treatment, recovery最新文献

{"title":"S31 Home oxygen therapy and smoking: playing with fire?","authors":"T. Fitzmaurice, C. Jager, M. Simmons, D. Barber, D. Wat","doi":"10.1136/thorax-2021-btsabstracts.37","DOIUrl":"https://doi.org/10.1136/thorax-2021-btsabstracts.37","url":null,"abstract":"","PeriodicalId":254413,"journal":{"name":"COPD exacerbations: prevention, treatment, recovery","volume":"7 9","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120858784","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"S28 Home humidified high-flow therapy following severe exacerbation of COPD: a mixed-methods feasibility randomised control trial","authors":"R. D’Cruz, A. Rossel, E. Suh, G. Kaltsakas, N. Shah, A. Douiri, L. Rose, P. Murphy, N. Hart","doi":"10.1136/thorax-2021-btsabstracts.34","DOIUrl":"https://doi.org/10.1136/thorax-2021-btsabstracts.34","url":null,"abstract":"","PeriodicalId":254413,"journal":{"name":"COPD exacerbations: prevention, treatment, recovery","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123932985","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"S29 Physical activity and sleep quality as related to patient-reported outcomes and physiology during recovery from severe COPD exacerbation","authors":"R. D’Cruz, E. Suh, M. Patout, G. Kaltsakas, N. Shah, R. Priori, A. Douiri, J. Moxham, N. Hart, P. Murphy","doi":"10.1136/thorax-2021-btsabstracts.35","DOIUrl":"https://doi.org/10.1136/thorax-2021-btsabstracts.35","url":null,"abstract":"S29 Figure 1 (A) Daily physical activity in patients with severe (n=15) or very severe (n=48) airflow obstruction, (b) Hourly physical activity count per 24-hour period for 4 weeks post-discharge following sentence AECOPD. Spoken sessions A22 Thorax 2021;76(Suppl 2):A1–A205 on Jauary 6, 2022 by gest. P rocted by coright. httphorax.bm jcom / T hrax: frst pulished as 10.113orax-2021-B T S absacts.35 on 8 N ovem er 221. D ow nladed fom demonstrated associations between PA and age (b=-2.37, p=0.01) and lean mass (b=2.45,p=0.002). PA was lower in males (b=-49.84,p=0.001), on weekends (b=-5.49, p=0.01) and in those who died within 1-year (b=-41.24,p=0.04), and was associated with total sleep time (TST) (b=0.01,p=0.003), EXACT score (b=-0.97,p=0.002), COPD assessment test (b=1.63,p=0.02), FEV1 (b=46.38,p<0.001), inspiratory capacity (b=44.17,p<0.001), PImax (b=2.14,p<0.001) and neural respiratory drive, measured using parasternal EMG (b=-2.12, p=0.01). Patients readmitted within 28-days exhibited poorer sleep quality than non-readmitted patients (TST: b=-110, p=0.004, latency: b=34,p=0.03). Conclusions This study provides a novel insight into the improvement in daytime activity occurring in the 28 days following hospital discharge after severe COPD exacerbation. Physical activity related inversely to age, symptom burden, health status and neural respiratory drive, and positively to lean mass, respiratory muscle strength, expiratory airflow and inspiratory capacity. Total sleep time fell following hospital discharge, and sleep quality was lower in readmitted patients. Future research is needed to evaluate the impact of targeted interventions that enhance physical activity and sleep quality on hospital readmission in this high-risk population. S30 PREDICTING HOSPITAL LENGTH OF STAY FOR ACUTE ADMISSIONS IN PATIENTS WITH COPD G Cox, S Burns, A Taylor, P McGinness, DJ Lowe, C Carlin. StormID, Edinburgh, UK; Queen Elizabeth University Hospital, Glasgow, UK 10.1136/thorax-2021-BTSabstracts.36 Introduction Accurate predictions of hospital length of stay (LOS) at the time of admission allows clinicians to direct patients to the most appropriate medical services, prevent overcrowding in emergency departments via improved patient flow, and better manage hospital resources. Objectives To develop, evaluate and explain machine learning classifiers that predict prolonged LOS ( 2 days) using information that is known at the time of acute admission, does not change during the patient’s hospital stay, and would be easy to input to a model deployed in a clinical setting. Methods A SafeHaven dataset of de-identified electronic health records for acute admissions of patients with COPD to four Scottish hospitals between January 2010 and March 2019 was prepared. Using XGBoost algorithms and a binary classifier (admission <48 hours or >48 hours) we developed a set of machine-learning models that predict whether a patient will have a prolonged LOS and investigated which variabl","PeriodicalId":254413,"journal":{"name":"COPD exacerbations: prevention, treatment, recovery","volume":"87 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129096824","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"S30 Predicting hospital length of stay for acute admissions in patients with COPD","authors":"G. Cox, S. Burns, A. Taylor, P. Mcginness, D. Lowe, C. Carlin","doi":"10.1136/thorax-2021-btsabstracts.36","DOIUrl":"https://doi.org/10.1136/thorax-2021-btsabstracts.36","url":null,"abstract":"p=0.01) and lean mass (b=2.45,p=0.002). PA was lower in males (b=-49.84,p=0.001), on weekends (b=-5.49, p=0.01) and in those who died within 1-year (b=-41.24,p=0.04), and was associated with total sleep time (TST) (b=0.01,p=0.003), EXACT score (b=-0.97,p=0.002), COPD assessment test (b=1.63,p=0.02), FEV1 (b=46.38,p<0.001), inspiratory capacity (b=44.17,p<0.001), PImax (b=2.14,p<0.001) and neural respiratory drive, measured using parasternal EMG (b=-2.12, p=0.01). Patients readmitted within 28-days exhibited poorer sleep quality than non-readmitted patients (TST: b=-110, p=0.004, latency: b=34,p=0.03). Conclusions This study provides a novel insight into the improvement in daytime activity occurring in the 28 days following hospital discharge after severe COPD exacerbation. Physical activity related inversely to age, symptom burden, health status and neural respiratory drive, and positively to lean mass, respiratory muscle strength, expiratory airflow and inspiratory capacity. Total sleep time fell following hospital discharge, and sleep quality was lower in readmitted patients. Future research is needed to evaluate the impact of targeted interventions that enhance physical activity and sleep quality on hospital readmission in this high-risk population.","PeriodicalId":254413,"journal":{"name":"COPD exacerbations: prevention, treatment, recovery","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133058574","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}