Association of body mass index with severity and mortality of COVID-19 pneumonia: a two-center, retrospective cohort study from Wuhan, China.
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SUBMITTER: Wu X
PROVIDER: S-EPMC8034951 | biostudies-literature |
REPOSITORIES: biostudies-literature
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Project description:Increased body mass index (BMI) has been associated with an increased prevalence of asthma in children, however the association between BMI status and asthma severity has been less well defined. The aim of this study was to describe the association between childhood obesity and asthma severity, frequency of hospital and emergency department visits as well as pattern of aeroallergen sensitization. A retrospective study was conducted at pediatric outpatient clinics in University Hospital Sharjah. All consecutive patients aged 6 years and above, with confirmed diagnosis of asthma visiting the outpatient pediatric clinics during 2018 were included in this study. Sources of information were the patient's medical file, laboratory data, pharmacy data, as well as reports from the pediatric in charge. This study included 164 children with asthma. 63% of asthma patients were male. The vast majority of patients were from Arab ethnicities (n = 154, 94%), majority had mild asthmatic conditions (n = 133, 81%), and one-third were either overweight or obese (n = 52, 32%). Overweight or obese asthmatic children with BMI percentile of equal or more than 85% was associated with more asthma severity (odds ratio [OR]: 3.27, 95% confidence interval [CI]: 1.42-7.54; P = 0.005), as well as more frequent asthma related hospital visits (OR: 2.53, 95% CI: 1.22-5.26; P = 0.013). Overweight asthmatic children with BMI between the 85th and 94th percentiles and obese asthmatic children with BMI equal to or greater than 95th percentile are associated with more severe asthma phenotype and more frequent hospital and emergency department visits.
| S-EPMC6934300 | biostudies-literature
Project description:AbstractThe aim of this study is to evaluate the association between body mass index (BMI) and cardio-metabolic risk factors and to determine the optimal BMI cut-off values in male and female subjects in Wuhan, China.We conducted a retrospective cross-sectional analysis of 20218 adult subjects (aged 18-85 years, 12717 men of them) who had health examinations at the health management center of Tongji Hospital of Wuhan in 2017. Multivariate logistic regression analysis was preformed to calculate the odds ratios (ORs) of cardio-metabolic risk factors. Receiver operating characteristic curve was used to determine the area under the receiver operating characteristic curve and optimal cut-off values for BMI predictive of cardio-metabolic risk factors.Of the 20218 participants, the percentage of males with overweight and obesity was as twice as that of females and the prevalence of hypertension, diabetes mellitus (DM), dyslipidemia, and hyperuricemia was significantly higher in males than females (27.18% vs 17.69%, 7.88% vs 4.16%, 41.97% vs 15.20%, and 34.50% vs 9.93%, respectively). Multivariate logistic regression analysis showed that higher BMI was a significant risk factor for hypertension (OR:1.27, 95% confidence intervals [CI]: 1.25-1.29), DM (OR:1.25, 95% CI:1.22-1.28), dyslipidemia (OR:1.26, 95% CI:1.25-1.28), and hyperuricemia (OR:1.25, 95% CI:1.23-1.27) after adjusting for age in both sexes. But in overweight or obesity status, females had higher ORs for hypertension and DM, and lower ORs for dyslipidemia than that in males. The optimal cut-off values of BMI for the presence of cardio-metabolic risk factors were among 24.25 to 25.35 kg/m2 in males, which were higher than in females among 22.85 to 23.45 kg/m2.The association between BMI and cardio-metabolic risk factors is different by gender. It is necessary to determine appropriate threshold for overweight status in men and women separately.
| S-EPMC7870247 | biostudies-literature
Project description:BackgroundObesity, typically quantified in terms of Body Mass Index (BMI) exceeding threshold values, is considered a leading cause of premature death worldwide. For given body size (BMI), it is recognized that risk is also affected by body shape, particularly as a marker of abdominal fat deposits. Waist circumference (WC) is used as a risk indicator supplementary to BMI, but the high correlation of WC with BMI makes it hard to isolate the added value of WC.Methods and findingsWe considered a USA population sample of 14,105 non-pregnant adults (age ≥ 18) from the National Health and Nutrition Examination Survey (NHANES) 1999-2004 with follow-up for mortality averaging 5 yr (828 deaths). We developed A Body Shape Index (ABSI) based on WC adjusted for height and weight: ABSI ≡ WC/(BMI(2/3)height(1/2)). ABSI had little correlation with height, weight, or BMI. Death rates increased approximately exponentially with above average baseline ABSI (overall regression coefficient of +33% per standard deviation of ABSI [95% confidence interval: +20%-+48%), whereas elevated death rates were found for both high and low values of BMI and WC. 22% (8%-41%) of the population mortality hazard was attributable to high ABSI, compared to 15% (3%-30%) for BMI and 15% (4%-29%) for WC. The association of death rate with ABSI held even when adjusted for other known risk factors including smoking, diabetes, blood pressure, and serum cholesterol. ABSI correlation with mortality hazard held across the range of age, sex, and BMI, and for both white and black ethnicities (but not for Mexican ethnicity), and was not weakened by excluding deaths from the first 3 yr of follow-up.ConclusionsBody shape, as measured by ABSI, appears to be a substantial risk factor for premature mortality in the general population derivable from basic clinical measurements. ABSI expresses the excess risk from high WC in a convenient form that is complementary to BMI and to other known risk factors.
| S-EPMC3399847 | biostudies-literature
Project description:To assess the relationship between gestational weight gain (GWG) of twin-pregnancy women and twin birth weights, as well as to evaluate whether pre-pregnancy body mass index (BMI) influences this relationship. A cohort study was conducted in Wuhan, China, between 1/01/2011 and 8/31/2017. Women with twin pregnancies who delivered live and non-malformed twins were included (6,925 women and 13,850 infants), based on the Wuhan Maternal and Child Health Management Information System. Logistic regression models were employed to examine the association between GWG and paired small for gestational age (SGA, defined as birth weight <10th percentile for gestational age and sex)/SGA and linear regression models were utilized to explore the relationship between GWG and sum of birth weights. The associations of GWG based on both the IOM and Chinese recommendations and SGA/SGA pairs were obtained, as well as the stratified analyses by pre-pregnancy BMI. Additionally, the sum birth weight of one twin pair increased by 15.88 g when the GWG increased by 1 kg. GWG below the IOM and Chinese recommendations was associated with an increased risk of SGA/SGA pairs in all pre-pregnancy BMI categories. However, in underweight, overweight, and obese women, the association between GWG above the IOM and Chinese recommendations and SGA/SGA pairs changed with adjustment.
| S-EPMC6104075 | biostudies-literature
Project description:Objective: Our study aimed to estimate the number of hypertension patients with or without elevated body mass index (BMI), and assess their mortality risk. Methods: We used data from the China Health and Retirement Longitudinal Study (CHARLS) to estimate the population of hypertensive patients with or without elevated BMI. The mortality risk of hypertension with elevated BMI was estimated by using the China Health and Nutrition Survey (CHNS) data. Cox proportional hazards models were used to estimate hazard ratios and 95% confidence intervals (CI). Results: In total, 23.02% of adults, representing 117.74 (95% CI: 108.79, 126.69) million, had both high BMI and hypertension. Among them, 38.53 (95% CI: 35.50, 41.56) million were recommended to initiate antihypertensive medication but did not take it. Moreover, there were 38.40 (95% CI: 35.50, 41.56) million hypertensive patients with elevated BMI who did not achieve the goal of blood pressure control. All-cause mortality and premature death mortality, especially for the elderly, were significantly and positively associated with the severity of the hypertensive condition (p for trend = 0.001). Conclusion: In China, there were a huge number of patients with hypertension and elevated BMI, and the treatment and control rates for them were low. The more severe the degree of hypertension, the higher risk of all-cause death and premature death in these patients.
| S-EPMC8750230 | biostudies-literature
Project description:BackgroundRecent studies have shown that triglyceride glucose-body mass index (TyG-BMI) is associated with the risk of ischemic stroke and coronary artery disease. However, little attention has been given to the association between TyG-BMI and cardiovascular disease (CVD) mortality in patients undergoing peritoneal dialysis (PD). Therefore, this study aimed to explore the relationship between TyG-BMI and CVD mortality in southern Chinese patients undergoing PD.MethodsIncident patients receiving PD from January 1, 2006, to December 31, 2018, with baseline serum triglyceride, glucose, and body mass index (BMI) information, were recruited for this single-center retrospective cohort study. TyG-BMI was calculated based on fasting plasma glucose, triglyceride, and BMI values. The association between TyG-BMI, CVD and all-cause mortality was evaluated using a multivariate-adjusted Cox proportional hazard regression model.ResultsOf 2,335 patients, the mean age was 46.1 ± 14.8 years; 1,382 (59.2%) were male, and 564 (24.2%) had diabetes. The median TyG-BMI was 183.7 (165.5-209.2). Multivariate linear regression showed that advanced age, male sex, history of CVD, higher levels of albumin and low-density lipoprotein cholesterol, and higher urine output were correlated with a higher TyG-BMI (P < 0.05). During a median follow-up period of 46.6 (22.4-78.0) months, 615 patients died, of whom 297 (48.2%) died as a result of CVD. After adjusting for demographics and comorbidities, TyG-BMI was significantly associated with an increased risk of CVD mortality (hazard ratio [HR] 1.51, 95% confidence interval [CI] 1.05-2.17) and all-cause mortality (HR 1.36, 95% CI 1.05-1.75). After full adjustment, the 28% risk of CVD mortality (HR 1.28, 95% CI 1.13-1.45) and 19% risk of all-cause mortality were elevated (HR 1.19, 95% CI 1.09-1.31) when TyG-BMI increased by 1 stand deviation (SD) (34.2).ConclusionsA higher baseline TyG-BMI was independently associated with an increased risk of CVD and all-cause mortality in patients receiving PD.
| S-EPMC10478298 | biostudies-literature
Project description:Little research has addressed the heterogeneity and mortality risk in body mass index (BMI) trajectories among older populations. Applying latent class trajectory models to 9,538 adults aged 51 to 77 years from the US Health and Retirement Study (1992-2008), we defined 6 latent BMI trajectories: normal weight downward, normal weight upward, overweight stable, overweight obesity, class I obese upward, and class II/III obese upward. Using survival analysis, we found that people in the overweight stable trajectory had the highest survival rate, followed by those in the overweight obesity, normal weight upward, class I obese upward, normal weight downward, and class II/III obese upward trajectories. The results were robust after controlling for baseline demographic and socioeconomic characteristics, smoking status, limitations in activities of daily living, a wide range of chronic illnesses, and self-rated health. Further analysis suggested that BMI trajectories were more predictive of mortality risk than was static BMI status. Using attributable risk analysis, we found that approximately 7.2% of deaths after 51 years of age among the 1931-1941 birth cohort were due to class I and class II/III obese upward trajectories. This suggests that trajectories of increasing obesity past 51 years of age pose a substantive threat to future gains in life expectancy.
| S-EPMC3842899 | biostudies-other
Project description:PURPOSE: To study the long-term effect of being overweight on mortality in very elderly subjects. METHODS: The medical records of 470 inpatients (226 males) with a mean age of 81.5 +/- 7 years and hospitalized in an acute geriatric ward between 1999 and 2000 were reviewed for this study. Body mass index (BMI) at admission day was subdivided into quartiles: <22, 22-25, 25.01-28, and > or =28 kg/m(2). Patients were followed-up until August 31, 2004. Mortality data were taken from death certificates. RESULTS: During a mean follow-up of 3.46 +/- 1.87 years (median 4.2 years [range 1.6 to 5.34 years]), 248 patients died. Those who died had lower baseline BMI than those who survived (24.1 +/- 4.2 vs 26.3 +/- 4.6 kg/m(2); p < .0001). The age-adjusted mortality rate decreased from 24 to 9.6 per 100 patient-years from the highest to lowest BMI quartile (p < .001). BMI was associated with all-cause and cause-specific mortality even after controlling for sex. A multivariate Cox proportional hazards model identified that even after controlling for male gender, age, renal failure, and diabetes mellitus, which increased the risk of all-cause mortality, elevated BMI decreased the all-cause mortality risk. CONCLUSIONS: In very elderly subjects, elevated BMI was associated with reduced mortality risk.
| S-EPMC2173925 | biostudies-other
Project description:AimTo investigate clinical characteristics and identify risk factors for severity of coronavirus disease 2019 (COVID-19) pneumonia outside of Wuhan, China.Materials and methodsWe included 213 patients with confirmed COVID-19 who had been discharged or died by 15 March 2020. We retrospectively collected epidemiological, clinical, laboratory, computed tomography imaging and outcome data. Clinical characteristics were described and relative risk factors were compared.ResultsMost clinical characteristics of this study were similar to those from studies in Wuhan, but there were lower mortality rate and milder severity. The median time from onset of symptoms to confirmation and hospitalization was 4 and 5 days, respectively. The median virus clearance and shedding times were 10 and 15 days, respectively. When the severe/critical group was compared with the mild/moderate group, significant risk factors included: older age; dyspnea; hypertension; poor appetite; fatigue; higher white cell count, neutrophil count, prothrombin time, creatine kinase, creatine kinase-MB, D-dimer, alanine aminotransferase (ALT), aspartate aminotransferase (AST), lactate dehydrogenase (LDH) and C-reactive protein; and lower lymphocyte count and albumin (p < 0.05). In the intensive care unit (ICU) group compared with the non-ICU group, risk factors included: older age; chronic obstructive pulmonary disease (COPD); dyspnea; poor appetite; higher white cell count, D-dimer, ALT, AST and LDH; and lower lymphocyte count and albumin (p < 0.05). Independent risk factors associated with the severe/critical group were dyspnea [odds ratio (OR) = 19.48], ALT (OR = 6.02) and albumin (OR = 3.36). Independent risk factors associated with the ICU group were dyspnea (OR = 8.88), COPD (OR = 31.80), D-dimer (OR = 8.37), ALT (OR = 28.76) and LDH (OR = 9.95) (p < 0.05).ConclusionThe severity of COVID-19 outside Wuhan, China was milder than that within Wuhan. The clinical infective period was long, and the longest virus shedding time was 35 days. The most important risk factors were dyspnea, COPD, D-dimer, ALT, LDH and albumin.The reviews of this paper are available via the supplemental material section.
| S-EPMC7649871 | biostudies-literature
Project description:BACKGROUND:A high body-mass index (BMI, the weight in kilograms divided by the square of the height in meters) is associated with increased mortality from cardiovascular disease and certain cancers, but the precise relationship between BMI and all-cause mortality remains uncertain. METHODS:We used Cox regression to estimate hazard ratios and 95% confidence intervals for an association between BMI and all-cause mortality, adjusting for age, study, physical activity, alcohol consumption, education, and marital status in pooled data from 19 prospective studies encompassing 1.46 million white adults, 19 to 84 years of age (median, 58). RESULTS:The median baseline BMI was 26.2. During a median follow-up period of 10 years (range, 5 to 28), 160,087 deaths were identified. Among healthy participants who never smoked, there was a J-shaped relationship between BMI and all-cause mortality. With a BMI of 22.5 to 24.9 as the reference category, hazard ratios among women were 1.47 (95 percent confidence interval [CI], 1.33 to 1.62) for a BMI of 15.0 to 18.4; 1.14 (95% CI, 1.07 to 1.22) for a BMI of 18.5 to 19.9; 1.00 (95% CI, 0.96 to 1.04) for a BMI of 20.0 to 22.4; 1.13 (95% CI, 1.09 to 1.17) for a BMI of 25.0 to 29.9; 1.44 (95% CI, 1.38 to 1.50) for a BMI of 30.0 to 34.9; 1.88 (95% CI, 1.77 to 2.00) for a BMI of 35.0 to 39.9; and 2.51 (95% CI, 2.30 to 2.73) for a BMI of 40.0 to 49.9. In general, the hazard ratios for the men were similar. Hazard ratios for a BMI below 20.0 were attenuated with longer-term follow-up. CONCLUSIONS:In white adults, overweight and obesity (and possibly underweight) are associated with increased all-cause mortality. All-cause mortality is generally lowest with a BMI of 20.0 to 24.9.
| S-EPMC3066051 | biostudies-literature