Gabrielle Ribeiro Sena, Tiago Pessoa Ferreira de Lima, Michelle Lima de Carvalho Silva, Paloma Gomes Tavares Sette, Gabriela Carla dos Santos Costa, Amanda Mendes da Fonseca Benvindo, Maria Júlia Gonçalves de Mello, Guilherme Jorge Costa
{"title":"巴西 2019 年住院病人肥胖与冠状病毒疾病严重程度之间的关系:2021年二手数据分析。","authors":"Gabrielle Ribeiro Sena, Tiago Pessoa Ferreira de Lima, Michelle Lima de Carvalho Silva, Paloma Gomes Tavares Sette, Gabriela Carla dos Santos Costa, Amanda Mendes da Fonseca Benvindo, Maria Júlia Gonçalves de Mello, Guilherme Jorge Costa","doi":"10.1111/cob.12698","DOIUrl":null,"url":null,"abstract":"<div>\n \n <p>In the backdrop of the global obesity pandemic, recognized as a notable risk factor for coronavirus disease 2019 (COVID-19) complications, the study aims to explore clinical and epidemiological attributes of hospitalized COVID-19 patients throughout 2021 in Brazil. Focused on four distinct age cohorts, the investigation scrutinizes parameters such as intensive care unit (ICU) admission frequency, invasive mechanical ventilation (IMV) usage, and in-hospital mortality among individuals with and without obesity. Using a comprehensive cross-sectional study methodology, encompassing adult COVID-19 cases, data sourced from the Influenza Epidemiological Surveillance Information System comprises 329 206 hospitalized patients. Of these individuals, 26.3% were affected by obesity. Analysis reveals elevated rates of ICU admissions, increased dependence on IMV, and heightened in-hospital mortality among the individuals with obesity across all age groups (<i>p</i> < .001). Logistic regression, adjusting for confounding variables, underscores a progressively rising odds ratio for mortality in younger age brackets: 1.2 (95%CI 1.1–1.3) for those under 50 years, 1.1 (95%CI 1.0–1.2) for the 50–59 age group, and 1.1 (95%CI 1.0–1.2) for the 60–69 age group. Conversely, no significant mortality difference is observed for patients over 70 years (OR: 0.972, 95%CI 0.9–1.1). In summary, hospitalized COVID-19 patients with obesity, particularly in younger age groups, exhibit elevated rates of ICU admission, IMV requirement, and in-hospital mortality compared with the control group. Notably, the ‘obesity paradox’ is not evident among hospitalized COVID-19 patients in 2021.</p>\n </div>","PeriodicalId":10399,"journal":{"name":"Clinical Obesity","volume":"14 6","pages":""},"PeriodicalIF":2.2000,"publicationDate":"2024-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Associations between obesity and severity of coronavirus disease 2019 in Brazilian inpatients: A 2021 secondary data analysis\",\"authors\":\"Gabrielle Ribeiro Sena, Tiago Pessoa Ferreira de Lima, Michelle Lima de Carvalho Silva, Paloma Gomes Tavares Sette, Gabriela Carla dos Santos Costa, Amanda Mendes da Fonseca Benvindo, Maria Júlia Gonçalves de Mello, Guilherme Jorge Costa\",\"doi\":\"10.1111/cob.12698\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div>\\n \\n <p>In the backdrop of the global obesity pandemic, recognized as a notable risk factor for coronavirus disease 2019 (COVID-19) complications, the study aims to explore clinical and epidemiological attributes of hospitalized COVID-19 patients throughout 2021 in Brazil. Focused on four distinct age cohorts, the investigation scrutinizes parameters such as intensive care unit (ICU) admission frequency, invasive mechanical ventilation (IMV) usage, and in-hospital mortality among individuals with and without obesity. Using a comprehensive cross-sectional study methodology, encompassing adult COVID-19 cases, data sourced from the Influenza Epidemiological Surveillance Information System comprises 329 206 hospitalized patients. Of these individuals, 26.3% were affected by obesity. Analysis reveals elevated rates of ICU admissions, increased dependence on IMV, and heightened in-hospital mortality among the individuals with obesity across all age groups (<i>p</i> < .001). Logistic regression, adjusting for confounding variables, underscores a progressively rising odds ratio for mortality in younger age brackets: 1.2 (95%CI 1.1–1.3) for those under 50 years, 1.1 (95%CI 1.0–1.2) for the 50–59 age group, and 1.1 (95%CI 1.0–1.2) for the 60–69 age group. Conversely, no significant mortality difference is observed for patients over 70 years (OR: 0.972, 95%CI 0.9–1.1). In summary, hospitalized COVID-19 patients with obesity, particularly in younger age groups, exhibit elevated rates of ICU admission, IMV requirement, and in-hospital mortality compared with the control group. Notably, the ‘obesity paradox’ is not evident among hospitalized COVID-19 patients in 2021.</p>\\n </div>\",\"PeriodicalId\":10399,\"journal\":{\"name\":\"Clinical Obesity\",\"volume\":\"14 6\",\"pages\":\"\"},\"PeriodicalIF\":2.2000,\"publicationDate\":\"2024-08-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Clinical Obesity\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1111/cob.12698\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"ENDOCRINOLOGY & METABOLISM\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Clinical Obesity","FirstCategoryId":"1085","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1111/cob.12698","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENDOCRINOLOGY & METABOLISM","Score":null,"Total":0}
Associations between obesity and severity of coronavirus disease 2019 in Brazilian inpatients: A 2021 secondary data analysis
In the backdrop of the global obesity pandemic, recognized as a notable risk factor for coronavirus disease 2019 (COVID-19) complications, the study aims to explore clinical and epidemiological attributes of hospitalized COVID-19 patients throughout 2021 in Brazil. Focused on four distinct age cohorts, the investigation scrutinizes parameters such as intensive care unit (ICU) admission frequency, invasive mechanical ventilation (IMV) usage, and in-hospital mortality among individuals with and without obesity. Using a comprehensive cross-sectional study methodology, encompassing adult COVID-19 cases, data sourced from the Influenza Epidemiological Surveillance Information System comprises 329 206 hospitalized patients. Of these individuals, 26.3% were affected by obesity. Analysis reveals elevated rates of ICU admissions, increased dependence on IMV, and heightened in-hospital mortality among the individuals with obesity across all age groups (p < .001). Logistic regression, adjusting for confounding variables, underscores a progressively rising odds ratio for mortality in younger age brackets: 1.2 (95%CI 1.1–1.3) for those under 50 years, 1.1 (95%CI 1.0–1.2) for the 50–59 age group, and 1.1 (95%CI 1.0–1.2) for the 60–69 age group. Conversely, no significant mortality difference is observed for patients over 70 years (OR: 0.972, 95%CI 0.9–1.1). In summary, hospitalized COVID-19 patients with obesity, particularly in younger age groups, exhibit elevated rates of ICU admission, IMV requirement, and in-hospital mortality compared with the control group. Notably, the ‘obesity paradox’ is not evident among hospitalized COVID-19 patients in 2021.
期刊介绍:
Clinical Obesity is an international peer-reviewed journal publishing high quality translational and clinical research papers and reviews focussing on obesity and its co-morbidities. Key areas of interest are: • Patient assessment, classification, diagnosis and prognosis • Drug treatments, clinical trials and supporting research • Bariatric surgery and follow-up issues • Surgical approaches to remove body fat • Pharmacological, dietary and behavioural approaches for weight loss • Clinical physiology • Clinically relevant epidemiology • Psychological aspects of obesity • Co-morbidities • Nursing and care of patients with obesity.