999精品在线视频,手机成人午夜在线视频,久久不卡国产精品无码,中日无码在线观看,成人av手机在线观看,日韩精品亚洲一区中文字幕,亚洲av无码人妻,四虎国产在线观看 ?

Body mass index and COVID-19 outcomes: A retrospective crosssectional study at a tertiary care center in India

2022-04-12 10:54:16HardevaRamNeharaSahdevKumawatRohitashKulariaAmareshwaraPrashantKumarBatarVivekGoudgaon
Journal of Acute Disease 2022年2期

Hardeva Ram Nehara, Sahdev Kumawat, Rohitash Kularia, J Amareshwara, Prashant Kumar Batar, Vivek Goudgaon

Departments of 1Endocrinology and 2Medicine, SP Medical College, Bikaner, India

ABSTRACT Objective: To determine the association between body weight and COVID-19 outcomes.Methods: This is a retrospective cohort study of COVID-19 patients admitted in a dedicated COVID-19 hospital, a tertiary health care center, between May and June 2021.Demographic data and baseline variables, including age, sex, body mass index (BMI), and comorbidities were collected.Outcomes (death or mechanical ventilation) of the patients with different BMI, age, comorbidities, and qSOFA scores were compared.Besides, the risk factors for death or mechanical ventilation were determined.Results: The mean age of the subjects was (51.8±14.7) years old, and 233 (74.2%) were male.There were 103 (32.8%) patients with normal weight, 143 (45.5%) patients were overweight, and 68 (21.7%) patients were obese.In-hospital deaths and need of mechanical ventilations were significantly higher in the obese and the overweight group compared to the normal weight group, in age group ≥65 years compared to <65 years, in patients with ≥1 comorbidities compared to patients without comorbidities, in patients with qSOFA scores≥2 compared to patients with qSOFA scores<2.There was a significantly increased risk of death (RR: 4.1, 95% CI 1.0-17.4, P=0.04) and significantly increased need of mechanical ventilation (RR: 5.2, 95% CI 1.8-15.2, P=0.002) in the obese patients compared with those with normal weight after controlling other covariates.Conclusion: Obesity is one of the significant risk factors for adverse outcomes in COVID-19 patients and should be considered during management.

KEYWORDS: Overweight; Obesity; Body mass index; COVID-19; Outcome

1.Introduction

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), which causes Corona Virus Disease 2019 (COVID-19), was first detected in 2019 and swept rapidly to whole Globe.World health organization (WHO) had declared COVID-19 a pandemic in March 2020[1].First case of COVID-19 infection was identified on January 30, 2020 in India[2].Most people with COVID-19 have mild illnesses or are asymptomatic.Approximately 14% require hospitalization and oxygen therapy, and 5% patients require admission in critical care unit[3].

Obesity has been shown to be associated with severe diseases and poor outcomes in COVID-19 patients[4].In India more than 135 million individuals are affected with obesity with prevalence of 1.8%-31.3%[5].Various studies have shown that obesity is associated with poor outcome in COVID-19 patients, such as increased hospitalizations, severe pneumonia, and mechanical ventilation[4,6,7].Various potential mechanisms involved in severity of COVID-19 due to obesity are restrictive lung disease, reduction in cardiorespiratory reserve, lipotoxicity, and potentiation of the immune dysregulation[8].

There are limited studies from India showing the association between obesity and poor outcome in COVID-19.This study is designed to determine the association between body mass index (BMI) and COVID-19 outcomes in a dedicated COVID-19 hospital, at a tertiary care center, in Rajasthan, India.

2.Patients and methods

2.1.Study design and setting

This is a retrospective cross-sectional cohort study, including reverse-transcription polymerase chain reaction (RT-PCR) confirmed COVID-19 patients hospitalized in tertiary care center of northwest Rajasthan, during May-June 2021.Clinical data including the vital signs on admission, associated comorbid conditions, and outcome were collected.

2.2.Sample size and ethical approval

Sample size was calculated by formula, n=4pq/L2(p: Prevalence; q: 100 p; L: Permissible error).Presuming a frequency of 50% sample size was 110 taking a permissible error of 20%.

2.3.Ethical approval

Institutional Review Board of Sardar Patel Medical College, Bikaner (Rajasthan) India approved the study [No: F.29 (Acad) SPMC/2021/1556].Written informed consent was obtained from each study subject.

2.4.Subjects

The study population included RT-PCR (nasopharyngeal swab) confirmed adult COVID-19 patients aged ≥18 years, who were admitted during May-June 2021.Underweight patients (defined as a BMI <18.50 kg/m2) and patients whose BMI was not recorded were excluded from the study (Figure 1).

Figure 1.The study flowchart.

2.5.Primary predictors

BMI was calculated by formula weight (kilograms)/height (meters)2.Patients were divided into three categories: normal weight (BMI: 18.50-22.99 kg/m2), overweight (BMI: 23.00-27.49 kg/m2), and obese (BMI: ≥27.50 kg/m2)[9].

2.6.Covariables

Covariables were age, sex, comorbidities (≥1), diabetes mellitus, and the quick sequential organ failure assessment (qSOFA) score at time of admission.qSOFA was calculated by using 1 point for each of the following criteria: tachypnea (respiratory rate ≥22/min), hypotension (systolic blood pressure ≤100 mmHg), and altered sensorium with Glasgow Coma Scale (GCS) <15.qSOFA scores were bifurcated at a cut-off of 2 as scores of ≥2 is associated with higher risk of mortality[10].Data self-reported by the patient were recorded in bedhead ticket by the health care person.

2.7.Outcomes

The primary outcome is the relation of BMI and the need of mechanical ventilation and hospital death.The secondary outcome is the relation of age, sex, cormobidities, qSOFA scores and the need of mechanical ventilation and in-hospital death.

2.8.Statistical analysis

The data were analyzed using SPSS 16.0 software.Continuous and categorical data were presented as mean with standard deviation and number (proportion) respectively.Outcome of the patients with different bodyweight, age, comorbidities, and qSOFA scores were compared by Chi square test.Binary logistic regression was done to determine whether any of the BMI groups was associated with an increase in the relative risk of outcomes upon adjustment for covariables.

3.Results

The characteristics of the study participants are represented in Table 1.The mean age of the subjects was (51.8±14.7) years old, with most of the patients 244 (77.7%) <65 years old.In this study, 233 (74.2%) were male.Diabetes mellitus (n=64, 20.4%) and hypertension (n=57, 18.2%) were the most common comorbidities, and 101 (32.2%) patients had ≥1 comorbidities.Out of 314 patients, 103 (32.8%) had normal weight, 143 (45.5%) were overweight, and 68 (21.7%) were obese (Table 1).

In-hospital deaths were significantly more in the obese and the overweight group compared to the normal weight group (P=0.02), in age group ≥65 years compared to <65 years (P<0.001), in patients with ≥1 comorbidities compared to patients without comorbidities (P<0.001), in patients with qSOFA scores≥2 compared to patients with qSOFA scores<2 (P<0.001).Likewise, need of mechanical ventilations were significantly higher in obese and overweight groups compared to the normal weight group (P<0.001), in age group ≥65 years compared to <65 years (P<0.001), in patients with ≥1 comorbidities compared to patients without comorbidities (P<0.001), in patients with qSOFA scores≥2 compared to patients with qSOFA scores<2 (P<0.001) (Table 2).

Table 1.Patients characteristics.

Table 2.Outcome of patients with different bodyweight, age, comorbidities, and qSOFA scores.

After controlling all covariables, there was a statistically significant increased risk of death [relative risk (RR): 4.1, 95% CI 1.0-17.4, P=0.04] and need of mechanical ventilation (RR 5.2, 95% CI 1.8-15.2, P=0.002) in the obese patients compared with those with normal weight (Table 2).Likewise, there was a statistically significant increased RR of death in the patients with age ≥65 years (RR 2.7, 95% CI 1.1-6.9, P=0.03) in comparison to patients with age <65 years, patients with presence of ≥1 comorbidities (RR 4.4, 95% CI 1.1-17.6, P=0.03) compared with patients without comorbidities, and patients with qSOFA scores ≥2 (RR 4.9, 95% CI 1.2-20.7, P=0.02) compared with patients with qSOFA scores <2.Furthermore, there was a statistically significant increased RR of a requirement of mechanical ventilation in the patients with age ≥65 years (RR: 4.4, 95% CI 2.1-9.2, P<0.001) compared with patients age <65 years, patients with presence of ≥1 comorbidities (RR: 3.7, 95% CI: 1.3-10.8, P=0.01) compared with patients without comorbidities, and patients with qSOFA scores≥2 (RR: 8.7, 95% CI 2.1-36.3, P=0.003) compared with patients with qSOFA scores <2 (Table 3).

Table 3.Binary logistic regression analysis for outcome of hospital death and mechanical ventilation between body mass index categories.

4.Discussion

In this study hospital deaths and need of mechanical ventilations were significantly higher in the obese and the overweight group compared to the normal weight group, in age group ≥65 years compared to <65 years, in patients with ≥1 comorbidities compared to patients without comorbidities, in patients with qSOFA scores≥2 compared to patients with qSOFA scores<2.Obesity is independently associated with adverse outcomes in patients with COVID-19 after controlling for age, gender, comorbidities (≥1), and qSOFA score.Obese patients had an increased probability of hospital death (RR: 4.1, 95% CI 1.0-17.4, P=0.04) and a need of mechanical ventilation (RR: 5.2, 95% CI 1.8-15.2, P=0.002) compared to the patients with normal weight.Obesity has been reported an important risk factor for hospitalization and poor outcomes in COVID-19 patients in previous studies[11-14].

Nakeshbandi et al.reported higher risk of mortality (RR: 1.3, 95% CI 1.0-1.7) and intubation (RR: 2.4, 95% CI 1.5-4.0) in the obese groups compared with those with normal weight in patients with COVID-19 after controlling for age, gender, diabetes, hypertension, and qSOFA score[11].Hendren et al.reported that obese and particularly young (age≤50 years) patients had more hospital death or requirement of mechanical ventilation[12].Suresh et al.reported that obese COVID-19 patients had more risk of ICU admission (OR: 1.37, 95% CI 1.07-1.76; P=0.012) and requirement of intubation (OR: 1.37, 95% CI 1.04-1.80; P=0.026)[15].

The mechanism of this association is not clearly known but may be due to obesity induced proinflammatory state, lipo-toxicity and reduction in cardiorespiratory reserve[8].Obesity is part of metabolic syndrome which includes diabetes and hypertension, which are associated with poor outcomes in COVID-19 patients[16].Besides this, SARS-CoV-2 has a high affinity for angiotensin-converting enzyme 2, which is highly expressed in adipose tissue, and therefore obesity exacerbates the severity of COVID-19[17].Furthermore, obesity is associated with decreased functional capacity, pulmonary expiratory reserve volume, and lung compliance, which may contribute to the severity of COVID-19[18].Obese patients with influenza have also shown to be associated with more risk of hospitalization and death, and a prolonged need of mechanical ventilation than normal weight patients [19].

There was significantly increased risk of hospital death and requirement of mechanical ventilation in the patients with age ≥65 years, patients having one or more comorbidities, and patients with qSOFA score two or more.Contrary to this other previous studies have reported that younger patients with obesity had adverse outcome in COVID-19 infection[11,12,20].Bhargava et al.reported that after multivariable regression analysis, factors associated with an increased risk of hospital death were age more than 60 years and higher qSOFA scores on admission[21].A study from China also reported that older age and higher SOFA scores at the time of admission were associated with a higher risk of hospital death[16].The qSOFA score was proposed by Third International Consensus Definitions for Sepsis and Septic Shock task force and it has a higher prognostic value for hospital death[22].A recent meta-analysis also revealed that COVID-19 patients with male gender, old age and comorbidities were associated with adverse outcome[23].Liu et al.reported that qSOFA scores at admission are an accepted and effective predictor for in-hospital mortality in critically ill COVID-19 patients[24].Besides this, a retrospective study from Spain concluded that elderly hospitalized COVID-19 patients had increased risk of in-hospital death even without comorbidities[25].Zhou et al.reported that on multivariable regression there was an increasing odd of mortality with older age, higher SOFA scores on admission[16].A study from Canada found that presence of comorbidities is a strong predictor for mortality and adverse outcomes among COVID-19 patients even in younger individuals[26].

This study has few limitations.As this study is retrospective in nature, potential for bias due to unmeasured confounding factors is unavoidable.In-hospital death and requirement of mechanical ventilation may be influenced by other factors.Also, our study is hospital based and may not be representative of the whole population. To conclude, present study strengthens the hypothesis that overweight and obesity is an important risk factor for adverse outcome in COVID-19 patients.Besides old age, presence of comorbities and higher qSOFA scores were also significantly associated with poor outcome in COVID-19 patients.Knowledge of these risk factors may help physician to recognize and intervene the high-risk patients earliest to prevent morbidity and mortality.Further research should be done to find out comorbidities and risk factors responsible for adverse outcome in COVID-19 patients.

Conflict of interest statement

The authors report no conflict of interest.

Authors’ contributions

H.R.N.contributed in the project design, data interpretation, drafting the article, revising it critically; and final approval of the version to be published; S.K.and R.K.contributed to project design, data interpretation, statistical analysis, article preparing and submission; A.S., K.K.and P.S.contributed to the collection of data, statistical analysis and data interpretation.All authors contributed equally to the final version of the manuscript.

主站蜘蛛池模板: 免费一级全黄少妇性色生活片| 国产美女一级毛片| 亚洲人成网线在线播放va| 天堂岛国av无码免费无禁网站 | 成人欧美在线观看| 一本大道香蕉中文日本不卡高清二区| 亚洲精品无码av中文字幕| 精品色综合| 呦女亚洲一区精品| 日韩精品欧美国产在线| 国产成人亚洲精品无码电影| 国产男女免费视频| 欧美不卡视频一区发布| 午夜综合网| 日韩高清欧美| 国产真实乱子伦视频播放| 国产又黄又硬又粗| 国产成人永久免费视频| 色天天综合久久久久综合片| 亚洲精品天堂在线观看| 久久久久亚洲av成人网人人软件 | 亚洲香蕉久久| 99视频精品全国免费品| 日本一区二区不卡视频| 免费视频在线2021入口| 国产香蕉国产精品偷在线观看 | 日日噜噜夜夜狠狠视频| 久久亚洲黄色视频| 色亚洲激情综合精品无码视频| 久久这里只有精品66| 欧美va亚洲va香蕉在线| 香蕉蕉亚亚洲aav综合| 欧美高清国产| 亚洲精品无码不卡在线播放| 色妺妺在线视频喷水| www成人国产在线观看网站| 九色在线视频导航91| 婷婷色狠狠干| 天堂在线视频精品| 97国产在线观看| а∨天堂一区中文字幕| 成人a免费α片在线视频网站| 性做久久久久久久免费看| 国产成人亚洲无码淙合青草| 国产午夜无码专区喷水| 亚洲最黄视频| 第一区免费在线观看| 一本大道东京热无码av| 国产国模一区二区三区四区| 亚洲swag精品自拍一区| 国产一区二区视频在线| 精品第一国产综合精品Aⅴ| 欧美成人精品在线| 免费毛片全部不收费的| 久久国产拍爱| 国产美女丝袜高潮| 在线欧美日韩国产| 久久这里只有精品66| 国产精品三级专区| 欧美国产另类| 精品久久蜜桃| 亚洲av无码牛牛影视在线二区| 免费国产好深啊好涨好硬视频| 国产日本欧美亚洲精品视| 手机成人午夜在线视频| 国产女人在线观看| 国产成人高清亚洲一区久久| 久久永久免费人妻精品| 亚洲午夜18| 在线观看国产精品日本不卡网| 激情爆乳一区二区| 伊人色天堂| 日本中文字幕久久网站| 99性视频| 福利小视频在线播放| 欧美精品v日韩精品v国产精品| 狠狠操夜夜爽| 久久狠狠色噜噜狠狠狠狠97视色| 91久久精品日日躁夜夜躁欧美| jizz国产视频| 日韩欧美中文| 国产va在线观看免费|