{"title":"在印度南部的一家三级保健中心,入院时的初始血氧饱和度作为covid -19阳性病例死亡率的预测指标","authors":"Praveen Janipalli","doi":"10.4103/jdrntruhs.jdrntruhs_101_21","DOIUrl":null,"url":null,"abstract":"Background: The rapid emergence of novel coronavirus 2019 (COVID-19) infections has resulted in infection to millions of people and hundreds of deaths around the world. India is ranking second in terms of the number of COVID-19 cases. Although there is no specific treatment for COVID, early recognition and supportive treatment can help in reducing mortality. Aims: The aim of this study is to describe the association between the initial oxygen saturation when the patient presented to the hospital and the risk of mortality. Methods: This is a retrospective study of all laboratory-confirmed cases of COVID-19 patients admitted in Government Hospital for Chest and Communicable Diseases (GHCCD), tertiary hospital in Visakhapatnam from April to June month of 2021. Demographic, clinical history, initial oxygen saturation, comorbidities, and outcome data were collected from GHCCD and were entered in MS Excel. The data were analyzed using univariate binomial logistic regression and generalized linear model with Poisson distribution. Results: By using multiple Cox regression, oxygen saturation values of less than 90% on admission correlated with mortality, presenting 1.67 (95% confidence interval [CI] 1.02–3.36), 2.23 (95% CI 1.89–5.63), 4.89 (95% CI 3.02–8.09), 6.97 (95% CI 4.63–11.07), and 9.87 (95% CI 5.23–13.53) times greater risk of death for SPO2 of 89–80, 79–70, 69–60, 59–50, and 49–40, respectively, when compared to patients with SPO2 >90%. We included 306 COVID-19-positive patients with a median age of 46 years. Of these, 64.05% were males and 36.94% were females. Risk associated with worse outcome included males, old age, comorbidities like hypertension (47.38%), diabetes (37.58%), cardiac disease (4.9%), hypothyroidism (3.26%), Chronic kidney disease (CKD) (3.26%), and malignancies (1.63%). Conclusions: SPO2 below 90% on admission is a strong predictor of mortality in patients with COVID-19. Risk factors for poor outcomes among COVID-19 cases include old age, males, diabetic patients, hypertensive patients, cardiac patients, and chronic kidney disease patients.","PeriodicalId":15571,"journal":{"name":"Journal of Dr. NTR University of Health Sciences","volume":"1 1","pages":"64 - 68"},"PeriodicalIF":0.0000,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Initial oxygen saturation at presentation as a predictor of mortality in COVID-19-positive cases in a tertiary care center in South India\",\"authors\":\"Praveen Janipalli\",\"doi\":\"10.4103/jdrntruhs.jdrntruhs_101_21\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Background: The rapid emergence of novel coronavirus 2019 (COVID-19) infections has resulted in infection to millions of people and hundreds of deaths around the world. India is ranking second in terms of the number of COVID-19 cases. Although there is no specific treatment for COVID, early recognition and supportive treatment can help in reducing mortality. Aims: The aim of this study is to describe the association between the initial oxygen saturation when the patient presented to the hospital and the risk of mortality. Methods: This is a retrospective study of all laboratory-confirmed cases of COVID-19 patients admitted in Government Hospital for Chest and Communicable Diseases (GHCCD), tertiary hospital in Visakhapatnam from April to June month of 2021. Demographic, clinical history, initial oxygen saturation, comorbidities, and outcome data were collected from GHCCD and were entered in MS Excel. The data were analyzed using univariate binomial logistic regression and generalized linear model with Poisson distribution. Results: By using multiple Cox regression, oxygen saturation values of less than 90% on admission correlated with mortality, presenting 1.67 (95% confidence interval [CI] 1.02–3.36), 2.23 (95% CI 1.89–5.63), 4.89 (95% CI 3.02–8.09), 6.97 (95% CI 4.63–11.07), and 9.87 (95% CI 5.23–13.53) times greater risk of death for SPO2 of 89–80, 79–70, 69–60, 59–50, and 49–40, respectively, when compared to patients with SPO2 >90%. We included 306 COVID-19-positive patients with a median age of 46 years. Of these, 64.05% were males and 36.94% were females. Risk associated with worse outcome included males, old age, comorbidities like hypertension (47.38%), diabetes (37.58%), cardiac disease (4.9%), hypothyroidism (3.26%), Chronic kidney disease (CKD) (3.26%), and malignancies (1.63%). Conclusions: SPO2 below 90% on admission is a strong predictor of mortality in patients with COVID-19. Risk factors for poor outcomes among COVID-19 cases include old age, males, diabetic patients, hypertensive patients, cardiac patients, and chronic kidney disease patients.\",\"PeriodicalId\":15571,\"journal\":{\"name\":\"Journal of Dr. NTR University of Health Sciences\",\"volume\":\"1 1\",\"pages\":\"64 - 68\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Dr. NTR University of Health Sciences\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.4103/jdrntruhs.jdrntruhs_101_21\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Dr. NTR University of Health Sciences","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4103/jdrntruhs.jdrntruhs_101_21","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
背景:2019年新型冠状病毒(COVID-19)感染的迅速出现已导致全球数百万人感染和数百人死亡。就新冠肺炎病例数量而言,印度排名第二。虽然没有针对COVID的特定治疗方法,但早期识别和支持性治疗可以帮助降低死亡率。目的:本研究的目的是描述患者入院时的初始血氧饱和度与死亡风险之间的关系。方法:对2021年4月至6月在维萨卡帕特南三级医院政府胸科和传染病医院(GHCCD)住院的所有实验室确诊的COVID-19患者进行回顾性研究。从GHCCD中收集人口统计学、临床病史、初始血氧饱和度、合并症和结局数据,并输入MS Excel中。采用单变量二项logistic回归和泊松分布广义线性模型对数据进行分析。结果:通过多重Cox回归,入院时血氧饱和度值低于90%与死亡率相关,与血氧饱和度>90%的患者相比,血氧饱和度为89-80、79-70、69-60、59-50和49-40的患者的死亡风险分别为1.67(95%可信区间[CI] 1.02-3.36)、2.23 (95% CI 1.89-5.63)、4.89 (95% CI 3.02-8.09)、6.97 (95% CI 4.63-11.07)和9.87 (95% CI 5.23-13.53)倍。我们纳入了306例covid -19阳性患者,中位年龄为46岁。其中男性占64.05%,女性占36.94%。与不良预后相关的风险包括男性、年龄、合并症,如高血压(47.38%)、糖尿病(37.58%)、心脏病(4.9%)、甲状腺功能减退(3.26%)、慢性肾病(3.26%)和恶性肿瘤(1.63%)。结论:入院时SPO2低于90%是COVID-19患者死亡率的有力预测指标。导致COVID-19患者预后不良的危险因素包括老年人、男性、糖尿病患者、高血压患者、心脏病患者和慢性肾病患者。
Initial oxygen saturation at presentation as a predictor of mortality in COVID-19-positive cases in a tertiary care center in South India
Background: The rapid emergence of novel coronavirus 2019 (COVID-19) infections has resulted in infection to millions of people and hundreds of deaths around the world. India is ranking second in terms of the number of COVID-19 cases. Although there is no specific treatment for COVID, early recognition and supportive treatment can help in reducing mortality. Aims: The aim of this study is to describe the association between the initial oxygen saturation when the patient presented to the hospital and the risk of mortality. Methods: This is a retrospective study of all laboratory-confirmed cases of COVID-19 patients admitted in Government Hospital for Chest and Communicable Diseases (GHCCD), tertiary hospital in Visakhapatnam from April to June month of 2021. Demographic, clinical history, initial oxygen saturation, comorbidities, and outcome data were collected from GHCCD and were entered in MS Excel. The data were analyzed using univariate binomial logistic regression and generalized linear model with Poisson distribution. Results: By using multiple Cox regression, oxygen saturation values of less than 90% on admission correlated with mortality, presenting 1.67 (95% confidence interval [CI] 1.02–3.36), 2.23 (95% CI 1.89–5.63), 4.89 (95% CI 3.02–8.09), 6.97 (95% CI 4.63–11.07), and 9.87 (95% CI 5.23–13.53) times greater risk of death for SPO2 of 89–80, 79–70, 69–60, 59–50, and 49–40, respectively, when compared to patients with SPO2 >90%. We included 306 COVID-19-positive patients with a median age of 46 years. Of these, 64.05% were males and 36.94% were females. Risk associated with worse outcome included males, old age, comorbidities like hypertension (47.38%), diabetes (37.58%), cardiac disease (4.9%), hypothyroidism (3.26%), Chronic kidney disease (CKD) (3.26%), and malignancies (1.63%). Conclusions: SPO2 below 90% on admission is a strong predictor of mortality in patients with COVID-19. Risk factors for poor outcomes among COVID-19 cases include old age, males, diabetic patients, hypertensive patients, cardiac patients, and chronic kidney disease patients.