Body mass index and severity/fatality from coronavirus disease 2019: A nationwide epidemiological study in Korea.
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ABSTRACT: Objective
Obesity has been reported as a risk factor for severe coronavirus disease 2019 (COVID-19) in recent studies. However, the relationship between body mass index (BMI) and COVID-19 severity and fatality are unclear.Research design and methods
This study included 4,141 COVID-19 patients who were released from isolation or had died as of April 30, 2020. This nationwide data was provided by the Korean Centers for Disease Control and Prevention Agency. BMI was categorized as follows; < 18.5 kg/m2, 18.5-22.9 kg/m2, 23.0-24.9 kg/m2, 25.0-29.9 kg/m2, and ≥ 30 kg/m2. We defined a fatal illness if the patient had died.Results
Among participants, those with a BMI of 18.5-22.9 kg/m2 were the most common (42.0%), followed by 25.0-29.9 kg/m2 (24.4%), 23.0-24.9 kg/m2 (24.3%), ≥ 30 kg/m2 (4.7%), and < 18.5 kg/m2 (4.6%). In addition, 1,654 (41.2%) were men and 3.04% were fatalities. Multivariable analysis showed that age, male sex, BMI < 18.5 kg/m2, BMI ≥ 25 kg/m2, diabetes mellitus, chronic kidney disease, cancer, and dementia were independent risk factors for fatal illness. In particular, BMI < 18.5 kg/m2 (odds ratio [OR] 3.97, 95% CI 1.77-8.92), 25.0-29.9 kg/m2 (2.43, 1.32-4.47), and ≥ 30 kg/m2 (4.32, 1.37-13.61) were found to have higher ORs than the BMI of 23.0-24.9 kg/m2 (reference). There was no significant difference between those with a BMI of 18.5-22.9 kg/m2 (1.59, 0.88-2.89) and 23.0-24.9 kg/m2.Conclusions
This study demonstrated a non-linear (U-shaped) relationship between BMI and fatal illness. Subjects with a BMI of < 18.5 kg/m2 and those with a BMI ≥ 25 kg/m2 had a high risk of fatal illness. Maintaining a healthy weight is important not only to prevent chronic cardiometabolic diseases, but also to improve the outcome of COVID-19.
SUBMITTER: Kang IS
PROVIDER: S-EPMC8219144 | biostudies-literature |
REPOSITORIES: biostudies-literature
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Project description:ObjectivesThe coronavirus disease 2019 (COVID-19) has become a worst pandemic. The clinical characteristics vary from asymptomatic to fatal. This study aims to examine the association between body mass index (BMI) levels and the severity of COVID-19.Methods and study designA cohort study included 147 adult patients with confirmed COVID-19 were categorized into 4 groups by BMI levels on admission: <18.5 (underweight), 18.5-22.9 (normal weight), 23.0-24.9 (overweight), and ≥25.0 kg/m2 (obese). Rates of pneumonia, severe pneumonia, acute kidney injury (AKI), and ICU stay during hospitalization across BMI group was determined. Logistic regression analysis was used to determine the association between BMI and severe pneumonia.ResultsOf the totals, patients having a BMI <18.5, 18.5-22.9, 23.0-24.9, and ≥25.0 kg/m2 were 12.9%, 38.1%, 17.7%, and 31.3%, respectively. The rates of pneumonia and severe pneumonia tended to be higher in patients with higher BMI, whereas the rates of AKI and ICU stay were higher in patients with BMI <18.5 kg/m2 and ≥ 25 kg/m2, when compared to patients with normal BMI. After controlling for age, sex, diabetes, hypertension and dyslipidemia in the logistic regression analysis, having a BMI ≥25.0 kg/m2 was associated with higher risk of severe pneumonia (OR 4.73; 95% CI, 1.50-14.94; p = 0.003) compared to having a BMI 18.5-22.9 kg/m2. During admission, elevated hemoglobin and alanine aminotransferase levels on day 7 and 14 of illness were associated with higher BMI levels. In contrast, rising of serum creatinine levels was observed in underweight patients on days 12 and 14 of illness.ConclusionsObesity in patients with COVID-19 was associated with severe pneumonia and adverse outcomes such as AKI, transaminitis and ICU stay. Underweight patients should be closely monitored for AKI. Further studies in body composition are warranted to explore the links between adiposity and COVID-19 pathogenesis.
| S-EPMC7886119 | biostudies-literature
Project description:BACKGROUND/OBJECTIVES:A growing body of data suggests that obesity influences coronavirus disease 2019 (COVID-19). Our study's primary objective was to assess the association between body mass index (BMI) categories and critical forms of COVID-19. SUBJECTS/METHODS:Data on consecutive adult patients hospitalized with laboratory-confirmed COVID-19 at Amiens University Hospital (Amiens, France) were extracted retrospectively. The association between BMI categories and the composite primary endpoint (admission to the intensive care unit or death) was probed in a logistic regression analysis. RESULTS:In total, 433 patients were included, and BMI data were available for 329: 20 were underweight (6.1%), 95 have a normal weight (28.9%), 90 were overweight (27.4%), and 124 were obese (37.7%). The BMI category was associated with the primary endpoint in the fully adjusted model; the odds ratio (OR) [95% confidence interval (CI)] for overweight and obesity were respectively 1.58 [0.77-3.24] and 2.58 [1.28-5.31]. The ORs [95% CI] for ICU admission were similar for overweight (3.16 [1.29-8.06]) and obesity (3.05 [1.25-7.82]) in the fully adjusted model. The unadjusted ORs for death were similar in all BMI categories while obesity only was associated with higher risk after adjustment. CONCLUSIONS:Our results suggest that overweight (and not only obesity) is associated with ICU admission, but overweight is not associated with death.
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Project description:BackgroundBody mass index (BMI) and waist circumference (WC) were used to evaluate nutritional status and obesity. We aimed to examine whether preoperative BMI or WC was associated with mortality after cancer surgery.MethodsThis population-based cohort study used data extracted from the National Health Insurance Service database of South Korea. We included adult patients who underwent major cancer surgery with curative intent between January 1, 2016, and December 31, 2020.ResultsA total of 87,220 patients were included in the final analysis, and 1,374 (1.6%) died within 90 days after cancer surgery. In the multiple logistic regression model, the BMI < 18.5/kg/m² and > 35 kg/m² groups showed 1.98-fold (odds ratio [OR], 1.98; 95% confidence interval [CI], 1.58-2.49; P < 0.001) and 2.60-fold (OR, 2.60; 95% CI, 1.25-5.40; P < 0.001) higher 90-day mortality after cancer surgery than did the BMI 18.5-24.9 kg/m² group. The 25.0-29.9 kg/m² (P = 0.144) and 30.0-34.9 kg/m² (P = 0.105) BMI groups did not show significant differences compared to the BMI 18.5-24.9 kg/m² group. Compared with the normal WC group, the high (P = 0.052) and very high (P = 0.232) WC groups also did not show significant differences in terms of 90-day mortality.ConclusionsPreoperative BMI < 18.5 kg/m² and > 35 kg/m² is associated with an elevated risk of 90-day mortality after major cancer surgery. However, preoperative WC was not significantly associated with 90-day mortality after cancer surgery.
| S-EPMC10578992 | biostudies-literature
Project description:BackgroundInconsistent results have been observed regarding the independent effect of diabetes on the severity of coronavirus disease 2019 (COVID-19). We conducted a nationwide population-based cohort study to evaluate the relationship between diabetes and COVID-19 severity in South Korea.MethodsPatients with laboratory-confirmed COVID-19 aged ≥30 years were enrolled and medical claims data were obtained from the Korean Health Insurance Review and Assessment Service. Hospitalization, oxygen treatment, ventilator application, and mortality were assessed as severity outcomes. Multivariate logistic regression analyses were performed after adjusting for age, sex, and comorbidities.ResultsOf 5,307 COVID-19 patients, the mean age was 56.0±14.4 years, 2,043 (38.5%) were male, and 770 (14.5%) had diabetes. The number of patients who were hospitalized, who received oxygen, who required ventilator support, and who died was 4,986 (94.0%), 884 (16.7%), 121 (2.3%), and 211 (4.0%), respectively. The proportion of patients with diabetes in the abovementioned outcome groups was 14.7%, 28.1%, 41.3%, 44.6%, showing an increasing trend according to outcome severity. In multivariate analyses, diabetes was associated with worse outcomes, with an adjusted odds ratio (aOR) of 1.349 (95% confidence interval [CI], 1.099 to 1.656; P=0.004) for oxygen treatment, an aOR of 1.930 (95% CI, 1.276 to 2.915; P<0.001) for ventilator use, and an aOR of 2.659 (95% CI, 1.896 to 3.729; P<0.001) for mortality.ConclusionDiabetes was associated with worse clinical outcomes in Korean patients with COVID-19, independent of other comorbidities. Therefore, patients with diabetes and COVID-19 should be treated with caution.
| S-EPMC7643598 | biostudies-literature
Project description:IntroductionOverweight or obesity might be protective factors of tuberculosis (TB), but the evidence is inconclusive. The objective of study was to evaluate association between BMI and incident TB.MethodsThe National Health Insurance database was used. Eligible participants were individuals aged 20-89 years without history of TB before 2007, and who underwent national health examinations between January 2002 and December 2006. The latest record of BMI was used as the exposure and categorized as follows: <18.5, 18.5-23, 23-25, 25-30, and ≥30 kg/m2. TB was defined as the first recorded diagnosis of TB, using ICD-10 between January 2007 and December 2013.ResultsAmong 301,081 individuals, 3,772 (1.26%) incident TB cases were detected. The incidence rate of the event was 19.65 per 10,000 person-years. After adjusting age, sex, household income, smoking status, alcohol use, and diabetes, incident TB was decreased as BMI was increased in an inverse dose-response relationship. However, when stratified by age and sex, BMI >30 kg/m2 did not show protective effect of TB in female under 50 years. Additionally, BMI >30 kg/m2 did not decrease incident TB in diabetics.ConclusionOur study suggests that high BMI might be associated with decreased risk of TB. However, very high BMI did not reduce the risk of TB in young females or diabetics participants with in Korean population.
| S-EPMC5906015 | biostudies-literature
Project description:ObjectivesObesity is a risk factor for severe coronavirus disease 2019 and might play a role in its pathophysiology. It is unknown whether body mass index is related to clinical outcome following ICU admission, as observed in various other categories of critically ill patients. We investigated the relationship between body mass index and inhospital mortality in critically ill coronavirus disease 2019 patients and in cohorts of ICU patients with non-severe acute respiratory syndrome coronavirus 2 viral pneumonia, bacterial pneumonia, and multiple trauma.DesignMulticenter observational cohort study.SettingEighty-two Dutch ICUs participating in the Dutch National Intensive Care Evaluation quality registry.PatientsThirty-five-thousand five-hundred six critically ill patients.InterventionsNone.Measurements and main resultsPatient characteristics and clinical outcomes were compared between four cohorts (coronavirus disease 2019, nonsevere acute respiratory syndrome coronavirus 2 viral pneumonia, bacterial pneumonia, and multiple trauma patients) and between body mass index categories within cohorts. Adjusted analyses of the relationship between body mass index and inhospital mortality within each cohort were performed using multivariable logistic regression. Coronavirus disease 2019 patients were more likely male, had a higher body mass index, lower Pao2/Fio2 ratio, and were more likely mechanically ventilated during the first 24 hours in the ICU compared with the other cohorts. Coronavirus disease 2019 patients had longer ICU and hospital length of stay, and higher inhospital mortality. Odds ratios for inhospital mortality for patients with body mass index greater than or equal to 35 kg/m2 compared with normal weight in the coronavirus disease 2019, nonsevere acute respiratory syndrome coronavirus 2 viral pneumonia, bacterial pneumonia, and trauma cohorts were 1.15 (0.79-1.67), 0.64 (0.43-0.95), 0.73 (0.61-0.87), and 0.81 (0.57-1.15), respectively.ConclusionsThe obesity paradox, which is the inverse association between body mass index and mortality in critically ill patients, is not present in ICU patients with coronavirus disease 2019-related respiratory failure, in contrast to nonsevere acute respiratory syndrome coronavirus 2 viral and bacterial respiratory infections.
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Project description:AbstractSeveral studies reported that aspirin can potentially help prevent infection and serious complications of coronavirus disease (COVID-19), but no study has elucidated a definitive association between aspirin and COVID-19. This study aims to investigate the association between aspirin and COVID-19.This case-control study used demographic, clinical, and health screening laboratory test data collected from the National Health Insurance Service database. Patients who tested positive for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection until June 4, 2020, were matched with control patients using propensity score matching according to their SARS-CoV-2 status, the composite of complications, and death. The composite of complications included intensive care unit admission, use of vasopressors, high-flow oxygen therapy, renal replacement therapy, extracorporeal membrane oxygenation, and death. Exposure to aspirin was defined as having a prescription for aspirin for more than 14 days, including the index date. After matching, multivariable-adjusted conditional logistic regression analysis was performed. To confirm the robustness of this study, we used 2 study groups, 3 propensity score matching methods, and 3 models for conditional logistic regression analyses.The crude odds ratio and 95% confidence interval for SARS-CoV-2 infection between the groups without and with exposure to aspirin were 1.21 (1.04-1.41), but the adjusted odds ratios (95% confidence interval) were not significant. There was no association between aspirin exposure and COVID-19 status. Multiple statistical analyses, including subgroup analysis, revealed consistent results. Furthermore, the results of analysis for complications and death were not significant. Aspirin exposure was not associated with COVID-19-related complications and mortality in COVID-19 patients.In this nationwide population-based case-control study, aspirin use was not associated with SARS-CoV-2 infection or related complications. With several ongoing randomized controlled trials of aspirin in COVID-19 patients, more studies would be able to confirm the effectiveness of aspirin in COVID-19.
| S-EPMC8322539 | biostudies-literature
Project description:Tinnitus is related to serious comorbidities such as suicidal ideation and attempts. Body mass index (BMI) is associated with auditory symptoms including hearing loss. The aim of this nationwide, population-based, cross-sectional study was to evaluate the relationship between mental health, body mass index and tinnitus in a Korean premenopausal female population. This study analyzed data from the Korea National Health and Nutrition Examination Surveys in 2010-2012. Data were collected from 4628 19 years or older, premenopausal women. After adjustments, underweight premenopausal women exhibited a higher odds ratio for tinnitus (odd ratio?=?1.54; 95% confidence interval?=?1.14-2.08) compared with women of normal weight. Moderate and severe tinnitus was highly prevalent in underweight as well as extremely obese women. The prevalence of perceived stress, melancholy, and suicide ideation was significantly higher in women with tinnitus. The prevalence of perceived stress and suicide ideation was significantly higher in underweight women with tinnitus, but that of melancholy was significantly lower. This study demonstrated that underweight premenopausal Korean women had a higher risk of tinnitus, which has grown in importance as a public health issue. Women with tinnitus experience perceived stress and suicide ideation more frequently, but melancholy less frequently than women without.
| S-EPMC5935674 | biostudies-literature
Project description:OBJECTIVES:Although one third or more of critically ill patients in the United States are obese, obesity is not incorporated as a contributing factor in any of the commonly used severity of illness scores. We hypothesize that selected severity of illness scores would perform differently if body mass index categorization was incorporated and that the performance of these score models would improve after consideration of body mass index as an additional model feature. DESIGN:Retrospective cohort analysis from a multicenter ICU database which contains deidentified data for more than 200,000 ICU admissions from 208 distinct ICUs across the United States between 2014 and 2015. SETTING:First ICU admission of patients with documented height and weight. PATIENTS:One-hundred eight-thousand four-hundred two patients from 189 different ICUs across United States were included in the analyses, of whom 4,661 (4%) were classified as underweight, 32,134 (30%) as normal weight, 32,278 (30%) as overweight, 30,259 (28%) as obese, and 9,070 (8%) as morbidly obese. INTERVENTIONS:None. MEASUREMENTS AND MAIN RESULTS:To assess the effect of adding body mass index as a risk adjustment element to the Acute Physiology and Chronic Health Evaluation IV and Oxford Acute Severity of Illness scoring systems, we examined the impact of this addition on both discrimination and calibration. We performed three assessments based upon 1) the original scoring systems, 2) a recalibrated version of the systems, and 3) a recalibrated version incorporating body mass index as a covariate. We also performed a subgroup analysis in groups defined using World Health Organization guidelines for obesity. Incorporating body mass index into the models provided a minor improvement in both discrimination and calibration. In a subgroup analysis, model discrimination was higher in groups with higher body mass index, but calibration worsened. CONCLUSIONS:The performance of ICU prognostic models utilizing body mass index category as a scoring element was inconsistent across body mass index categories. Overall, adding body mass index as a risk adjustment variable led only to a minor improvement in scoring system performance.
| S-EPMC6336502 | biostudies-literature
Project description:BackgroundThe association between body mass index (BMI) and mortality is not conclusive, especially in East Asian populations. Furthermore, the association has been neither supported by recent data, nor assessed after controlling for weight changes.MethodsWe evaluated the relationship between BMI and all-cause or cause-specific mortality, using prospective cohort data by the National Health Insurance Service in Korea, which consisted of more than one million subjects. A total of 153,484 Korean adults over 30 years of age without pre-existing cardiovascular disease or cancer at baseline were followed-up until 2010 (mean follow-up period = 7.91 ± 0.59 years). Study subjects repeatedly measured body weight 3.99 times, on average.ResultsDuring follow-up, 3,937 total deaths occurred; 557 deaths from cardiovascular disease, and 1,224 from cancer. In multiple-adjusted analyses, U-shaped associations were found between BMI and mortality from any cause, cardiovascular disease, and cancer after adjustment for age, sex, smoking status, alcohol consumption, physical activity, socioeconomic status, and weight change. Subjects with a BMI < 23 kg/m2 and ≥ 30 kg/m2 had higher risks of all-cause and cause-specific mortality compared with the reference group (BMI 23-24.9 kg/m2). The lowest risk of all-cause mortality was observed in subjects with a BMI of 25-26.4 kg/m2 (adjusted hazard ratio [HR] 0.86; 95% CI 0.77 to 0.97). In subgroup analyses, including the elderly and those with chronic diseases (diabetes mellitus, hypertension, and chronic kidney disease), subjects with a BMI of 25-29.9 kg/m2 (moderate obesity) had a lower risk of mortality compared with the reference. However, this association has been attenuated in younger individuals, in those with higher socioeconomic status, and those without chronic diseases.ConclusionModerate obesity was associated more strongly with a lower risk of mortality than with normal, underweight, and overweight groups in the general population of South Korea. This obesity paradox was prominent in not only the elderly but also individuals with chronic disease.
| S-EPMC4604086 | biostudies-literature