scholarly journals Impact of body mass index on critically ill COVID-19 patients admitted in a tertiary care hospital : a retrospective observational study

2022 ◽  
Vol 13 (1) ◽  
pp. 3-7
Author(s):  
Savita Gupta ◽  
Varun Goel ◽  
Nazia Nazir ◽  
Saurabh Srivastava ◽  
Anurag Srivastava

Background: Increased body mass index (BMI) is a known risk factor for respiratory infection and is being recognized as a predisposing factor in the COVID‐19 pandemic caused by the severe acute respiratory syndrome coronavirus‐2. Aims and Objectives: This study aimed to assess the association between different body mass index categories with severe COVID-19 patients leading to death. Materials and Methods: This retrospective study of six months included the laboratory-confirmed COVID-19 patients admitted to an ICU of a tertiary care academic health care organization. The medical records were reviewed at least 14 days after admission.  Results: 484 patients were included, and BMI data were available for 306 patients. 40.19% had a normal weight, 26.79% were overweight, 17.97% had BMI 30-34.9 Kg/m2 and 15.03% had BMI ≥ 35 Kg/m2. Overall, 58 patients (18.95%) died within 14 days of ICU admission, 50.98% were discharged alive or referred from the hospital within 14 days, and 30.06% remained hospitalized at 14 days. After controlling for all covariates, there was a significantly increased risk of mortality in the patients with obesity class I (RR 2.03, 95% CI 1.07-3.85, P = 0.030) and patients with obesity class II & III (RR 2.83, 95% CI 1.54–5.22, P <0.001) compared with those with normal BMI. Conclusions: Obesity was associated with an unfavorable outcome among patients with COVID-19. Patients with obesity should be more closely monitored when hospitalized for COVID-19 as there is increasing evidence of relation of severity of COVID-19 and obesity which appears to be a factor in the health risks.

2021 ◽  
pp. svn-2020-000534
Author(s):  
Zhentang Cao ◽  
Xinmin Liu ◽  
Zixiao Li ◽  
Hongqiu Gu ◽  
Yingyu Jiang ◽  
...  

Background and aimObesity paradox has aroused increasing concern in recent years. However, impact of obesity on outcomes in intracerebral haemorrhage (ICH) remains unclear. This study aimed to evaluate association of body mass index (BMI) with in-hospital mortality, complications and discharge disposition in ICH.MethodsData were from 85 705 ICH enrolled in the China Stroke Center Alliance study. Patients were divided into four groups: underweight, normal weight, overweight and obese according to Asian-Pacific criteria. The primary outcome was in-hospital mortality. The secondary outcomes included non-routine discharge disposition and in-hospital complications. Discharge to graded II or III hospital, community hospital or rehabilitation facilities was considered non-routine disposition. Multivariable logistic regression analysed association of BMI with outcomes.Results82 789 patients with ICH were included in the final analysis. Underweight (OR=2.057, 95% CI 1.193 to 3.550) patients had higher odds of in-hospital mortality than those with normal weight after adjusting for covariates, but no significant difference was observed for patients who were overweight or obese. No significant association was found between BMI and non-disposition. Underweight was associated with increased odds of several complications, including pneumonia (OR 1.343, 95% CI 1.138 to 1.584), poor swallow function (OR 1.351, 95% CI 1.122 to 1.628) and urinary tract infection (OR 1.532, 95% CI 1.064 to 2.204). Moreover, obese patients had higher odds of haematoma expansion (OR 1.326, 95% CI 1.168 to 1.504), deep vein thrombosis (OR 1.506, 95% CI 1.165 to 1.947) and gastrointestinal bleeding (OR 1.257, 95% CI 1.027 to 1.539).ConclusionsIn patients with ICH, being underweight was associated with increased in-hospital mortality. Being underweight and obese can both increased risk of in-hospital complications compared with having normal weight.


Background: Breast Cancer is one of the leading causes of death worldwide. Pakistan alone has the highest rate of Breast Cancer than any other Asian country as approximately 90000 new cases are diagnosed every year out of which 40000 dies. Obesity is also a critical public health problem growing with every passing year in Pakistan and worldwide. Research studies are being conducted worldwide regarding the relation between the two problems. Objective: The objective of this study is to determine the prevalence of obesity in breast cancer patients in a tertiary care hospital in Karachi, Pakistan. Methods: BMI is used as a screening tool for overweight and obesity. According to World Health Organization, a body mass index (BMI) over 25 is considered overweight, and over 30 is obese. A retrospective analysis of 262 patients diagnosed with Breast Cancer during 2019 and 2020 was performed. Patients’ hospital records in Oncology were reviewed. The weight in kilograms and height in centimeters of patients were reviewed. Their BMI was calculated and recorded using the SPSS system. Results: The median BMI was 28.25 kg/m2 with an interquartile range of 25.15 - 31.99 kg/m2. Nearly 80% of the study participants had body mass index higher than normal levels (n=203, 77.5%) and out of them approximately half were overweight (n=104, 51.2%) and the remaining were obese (n=99, 48.7%). Conclusion: We conclude from our study that body mass index is positively correlated with breast cancer occurrence and thus the proportion of females having BMI >= 25 was significantly higher among patients.


2021 ◽  
Vol 15 (10) ◽  
pp. 2831-2832
Author(s):  
Ambreen Asif ◽  
Kashif Aziz Ahmad ◽  
Sohaib Akbar ◽  
Talha Munir

Objective: frequency of dyslipidemia in obese subjects Methodology: In this was a cross sectional study, we included a total of 100 cases, between 30 and 70 years of age of either gender having body mass index >30 whereas we excluded all those cases who were already taking treatment of dyslipidemia. A fasting blood sample was followed for lipid profile from the hospital lab and results were followed for presence/absence of dyslipidemia. Results: In this trial, mean age was 44.57+8.52 years. Mean lipid profile was recorded as 210.17+36.73 total cholesterol, 178.83+12.10 triglycerides, 133.55+9.74 LDL and 34.42+6.58 HDL. Mean Body mass index was calculated as 34.11+7.25. Frequency of dyslipidemia in obese subjects was recorded as 51%(n=51) Conclusion: We concluded that frequency of dyslipidemia is higher in obese subjects coming to a tertiary care hospital Lahore. So, it is recommended that every patient who present with obesity, should be sort out for dyslipidemia. However, it is also required that every setup should have their surveillance in order to know the frequency of the problem Keywords: Obese, dyslipidemia, frequency


Nutrients ◽  
2020 ◽  
Vol 12 (9) ◽  
pp. 2684
Author(s):  
Kyoko Nomura ◽  
Sachiko Minamizono ◽  
Kengo Nagashima ◽  
Mariko Ono ◽  
Naomi Kitano

This study aims to investigate which maternal body mass index (BMI) categories are associated with the non-initiation or cessation of breastfeeding (BF) based on a quantitative review of the literature. We searched Ovid MEDLINE and EBSCO CINAHL for peer-reviewed articles published between 1946 (MEDLINE) or 1981 (CINAHL), and 2019. Selected studies were either cross-sectional or cohort studies, of healthy mothers and infants, that reported nutrition method (exclusive/full or any) and period (initiation/duration/cessation) of breastfeeding according to maternal BMI levels. Pairwise meta-analyses of 57 studies demonstrated that the pooled odds risks (OR) of not initiating BF among overweight and obese mothers compared to normal weight mothers were significant across 29 (OR 1.33, 95% confidence interval (CI), 1.15–1.54, I2 = 98%) and 26 studies (OR 1.61, 95% CI, 1.33–1.95, I2 = 99%), respectively; the pooled risks for BF cessation were inconsistent in overweight and obese mothers with substantial heterogeneity. However, we found that overweight mothers (n = 10, hazard ratio (HR) 1.16, 95% CI, 1.07–1.25; I2 = 23%) and obese mothers (n = 7, HR 1.45, 95% CI: 1.27–1.65; I2 = 44%) were both associated with an increased risk of not continuing any BF and exclusive BF, respectively. Overweight and obese mothers may be at increased risk of not initiating or the cessation of breastfeeding.


2019 ◽  
pp. 23
Author(s):  
Saritha Susan Vargese ◽  
T.M. Joseph ◽  
E. Mathew

Background: Obesity is one of the most important modifiable risk factors in the pathogenesis of lifestyle diseases like atherosclerosis, hypertension and type 2 diabetes mellitus. Overweight or obese adolescents are at an increased risk of developing diabetes and hypertension in future. A study was done to determine the relationship between body mass index and fasting blood glucose among students of a tertiary care teaching hospital. Materials and methods: A cross sectional analytical study was carried out among all medical students in a tertiary care teaching hospital in Kerala who consented to participate after obtaining approval from Institutional Research and Ethics Committee. The study tools used were standardized weighing machine, stadiometer, Accu-check glucometer and strips, disposable needles and pre-designed questionnaire. Results: Among the 254 study participants, 67% were females. The prevalence of impaired fasting glucose is 18.11% in the study population. No significant correlation was found between fasting blood glucose and body mass index. There was an increase in median FBS as the BMI increases, though not statistically significant (p=0.08). In the linear regression model, the statistic R2 explains that 7.9% of the variability in fasting blood glucose is explained by body mass index. Conclusion: The prevalence of prediabetes among the study participants was very high and it was higher among those who were overweight. The need of the hour is to identify the high-risk group in the community right from the young age and initiate trials or intervention studies to prevent or delay the onset of diabetes.


Cancers ◽  
2020 ◽  
Vol 12 (8) ◽  
pp. 2202 ◽  
Author(s):  
Sarah Friis Christensen ◽  
Robyn Marie Scherber ◽  
Nana Brochmann ◽  
Martin Goros ◽  
Jonathan Gelfond ◽  
...  

Elevated body mass index (BMI) is a global health problem, leading to enhanced mortality and the increased risk of several cancers including essential thrombocythemia (ET), a subtype of the Philadelphia-chromosome negative myeloproliferative neoplasms (MPN). Furthermore, evidence states that BMI is associated with the severity of symptom burden among cancer patients. MPN patients often suffer from severe symptom burden. The purpose of this study was to examine whether deviations from a normal BMI in an MPN population are associated with higher symptom burden and reduced quality of life (QoL). A combined analysis of two large cross-sectional surveys, the Danish Population-based Study, MPNhealthSurvey (n = 2044), and the international Fatigue Study (n = 1070), was performed. Symptoms and QoL were assessed using the validated Myeloproliferative Neoplasm Symptom Assessment Form (MPN-SAF). Analysis of covariance was used to estimate the effects of different BMI categories on symptom scores while adjusting for age, sex, and MPN subtype. A U-shaped association between BMI and Total Symptom Burden was observed in both datasets with significantly higher mean scores for underweight and obese patients relative to normal weight (mean difference: underweight 5.51 (25.8%), p = 0.006; obese 5.70 (26.6%) p < 0.001). This is an important finding, as BMI is a potentially modifiable factor in the care of MPN patients.


2016 ◽  
Vol 134 (4) ◽  
pp. 330-334 ◽  
Author(s):  
Felipe Pucci ◽  
Guilherme Machado ◽  
Edcarlo Solera ◽  
Fernanda Cenovicz ◽  
Christian Arruda ◽  
...  

ABSTRACT CONTEXT AND OBJECTIVE: Increased life expectancy among people with Down syndrome (DS) has introduced new environmental factors that may affect blood pressure (BP) and/or lead to obesity in this population. The aim here was to investigate BP levels and body mass index (BMI) in adults with DS, correlating these data with the patients' sex and age. DESIGN AND SETTING: Analytical cross-sectional observational study conducted in special schools in Curitiba (PR), Brazil. METHODS: 97 adult patients were included. BP was measured in accordance with the established guidelines. BMI was calculated by dividing the weight by the height squared (kg/m2). RESULTS: Sex had no influence on BMI; nor did systolic BP (SBP) or diastolic BP (DBP). The age range was from 18 to 56 years. No correlation was observed between increasing age and greater BMI or BP. Eighty-six individuals (88.7%) presented normal BP, eleven (11.3%) prehypertension and none hypertension. Twenty patients (20.4%) presented BP lower than 90 × 60 mmHg. BMI ranged from 18 to 48 kg/m2 (mean of 28.8 ± 3.92 kg/m2): 21.9% had normal weight; 40.7% were overweight; and 25.3% had obesity class I, 9.9% class II and 2.2% class III. Higher BMI was associated with significantly greater SBP and DBP (P = 0.0175 and P = 0.0015). CONCLUSION: Sex and age did not influence SBP, DBP or BMI in Brazilian adults with DS. Higher BMI was associated with greater BP (both systolic and diastolic).


2019 ◽  
Vol 6 (6) ◽  
pp. 1788
Author(s):  
Rakesh K. Sisodia ◽  
Mahendra Chouhan

Background: Obesity has major adverse effects on health. Obesity is associated with an increase in mortality, with a 50-100% increased risk of death from all causes compared to normal-weight individuals, mostly due to cardiovascular causes. The aim of this study was to correlate Body Mass Index (BMI) and glycaemic control (HbA1c) in type 2 Diabetic patients.Methods: In this study 100 patients of type 2 diabetic were subjected to detailed history, clinical examination, BMI, HbA1c and routine biochemical investigations.Results: Out of 100 diabetic patients included in this study 62 of them were male and 38 were female. Among 100 patients. Majority of patients were overweight (BMI 25-29.9) which is account to about 58 of total cases, 30 patients were normal BMI and 12 patients were obese. Statistical analysis a positive correlation found between BMI and poor glycaemic control (HbA1c), which is significant.Conclusions: From this study it was concluded that obesity (BMI) is associated with poor glycaemic control.


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