Obesity Class Research Articles

Preoperative BMI and long-term survival in NAFLD-associated hepatocellular carcinoma: A multicenter study revealing a paradox.

e16262 Background: As non-alcoholic fatty liver disease (NAFLD) emerges as a key factor in hepatocellular carcinoma (HCC) development, exacerbated by the global obesity epidemic, the prognostic role of body mass index (BMI) in NAFLD-HCC patients undergoing surgical resection remains unclear. This study aims to elucidate the impact of preoperative BMI on long-term outcomes after hepatectomy in patients with NAFLD-HCC, offering insights for more personalized treatment strategies. Methods: In this multicenter retrospective study, patients with early-stage (BCLC stage 0/A) NAFLD-HCC who underwent curative hepatectomy between 2009 and 2022 were analyzed. Based on preoperative BMI, patients were classified into lean ( < 23.0 kg/m2), overweight (23.0-27.4 kg/m2), and obese (≥ 27.5 kg/m2) categories. The primary endpoints, overall survival (OS) and recurrence-free survival (RFS), were compared across these BMI groups. Results: This large multicenter cohort comprised 309 early-stage NAFLD-HCC patients: 66 lean, 176 overweight, and 67 obese. Liver-, tumor-, and surgery-related characteristics were similar across groups. Lean patients exhibited significantly lower 5-year OS and RFS (55.4% and 35.1%, respectively) compared to overweight patients (71.3% and 55.6%, P = 0.017 and P = 0.002), with outcomes comparable to obese patients (48.5% and 38.2%, P = 0.939 and P = 0.442). Multivariable Cox-regression analysis revealed lean BMI, but not obese BMI, as an independent predictor of decreased OS (HR: 1.69; 95%CI: 1.06-2.71; P = 0.029) and RFS (HR: 1.72; 95% CI: 1.17-2.52; P = 0.006). Conclusions: This study challenges conventional perceptions of BMI in cancer prognosis, revealing that lean NAFLD-HCC patients have poorer long-term surgical outcomes compared to their overweight and obese counterparts. These findings underscore the need for a nuanced understanding of BMI’s role in NAFLD-HCC management and prompt further investigation into the underlying biological mechanisms of this paradox.

Unravelling the obesity maze in diabetic patients: A comparative analysis of classification methods.

Obesity is a significant health concern among individuals with type 2 diabetes mellitus (T2DM). Emerging evidence suggests that alternative measures, such as abdominal girth (AG) and body fat percentage (BF%), can provide a more accurate reflection of obesity-related metabolic risks in diabetic populations. This study aimed to compare the accuracy of different obesity classification methods, including BMI, AG, and BF%, among individuals with T2DM. This was an observational cross-sectional study conducted among T2DM patients who came to the non-communicable diseases clinic of GG Govt Hospital, Jamnagar, Gujarat during the period of March-April 2023. Demographic and anthropometric information was collected. Body fat analysis was done using a validated Omron fat analyzer. The study found the sensitivity of BMI in males and females as 41.6% and 45% against BF%, respectively. It also showed that the sensitivity of BMI in males and females was 38% and 40.7%, respectively, against AG. The present study also found a moderate positive correlation (r = 0.575) between AG and BF% in individuals with T2DM. The findings indicate that BF% and AG provide valuable insights into adiposity, surpassing the limitations of BMI as a measure of body composition. BF% is an indicator of body fat content, whereas AG serves as a proxy for central adiposity. The correlations between BF% and AG suggest that excess abdominal fat accumulation signifies increased body fat. By incorporating measures such as BF% and AG alongside BMI, clinicians can obtain a more comprehensive understanding of body composition and its relationship with metabolic abnormalities.

Description of Obesity Characteristics in Elderly with Walking Disturbance

A person who has reached the age of 60 years and over will experience an aging process which is characterized by changes such as decreased memory, muscles that are no longer flexible, decreased hearing and vision function, and problems walking. Barriers to walking can cause limitations in moving independently using the feet in an environment to be disrupted because it can slow down something a person is doing. Barriers to walking in the elderly are characterized by several characteristics, including obesity. This study aims to determine the characteristics of obesity in elderly people with walking obstacles in Kendal Indonesia. The design of this research is descriptive qualitative. The research population was 45 elderly people using a total sampling technique. Data were collected using the Body Mass Index (BMI) calculations as an International standard. Body mass index (BMI) is the method of utilizing an adult's height and weight to broadly place them into underweight, normal weight, overweight and obese categories. BMI can be calculated using metric or imperial (US) units.The results of this study showed that thin body weight (6.7%), normal body weight (68.9%), fat body weight (13.3%), and obese body weight (11.1%). Obesity causes obstacles to walking.

Machine learning prediction of hypertension and diabetes in twin pregnancies using characteristics at prenatal care entry: a nationwide study.

To develop a prediction model for hypertensive disorders in pregnancy (HDP) and gestational diabetes (GDM) in twin pregnancies utilizing characteristics at the prenatal care entry level. Cross-sectional study using the US national live birth data between 2016 and 2021. The association of all prenatal candidate variables with HDP and GDM was tested with uni- and multi-variable logistic regression analyses. Prediction models were built with generalized linear models using the logit link function and classification and regression tree approach (XGboost) machine learning (ML) algorithm. Performance was assessed with repeated 2-fold cross-validation and performance metrics we considered were area under the curve (AUC). P value <0.001 was considered statistically significant. A total of 707,198 twin pregnancies were included in the HDP analysis and 723,882 twin pregnancies for the GDM analysis. The incidence of HDP and GDM significantly increased from 12.2% in 2016 to 15.4% in 2021 and from 8.1% in 2016 to 10.7% in 2021, respectively. Factors that increase the risk of HDP in twin gestations are maternal age <20, age≥35, infertility, prepregnancy DM, non-Hispanic Black population, obesity, and those with Medicaid insurance (p<0.001). Factors that more than doubled the risk are obesity class II and III (p<0.001). Factors that increase the risk of GDM in twin gestations are age <25, age≥30, history of infertility, prepregnancy hypertension, non-Hispanic Asian population, non-US nativity, and obesity (p<0.001). Factors that more than doubled the risk are maternal age ≥ 30 years, non-Hispanic Asian, and class I, II, and III maternal obesity ( p<0.001). For both HDP and GDM, the performance of the ML and logistic regression model was mostly similar with negligible difference in terms of all tested performance domains. The AUC of the final ML model for HDP and GDM were 0.62±0.004, and 0.67±0.004, respectively. The incidence of HDP and GDM in twin gestations is increasing. The predictive accuracy of the machine learning model for both HDP and GDM in twin gestations is similar to that of the logistic regression model. Both models had modest performance, well-calibrated, and neither had a poor fit. This article is protected by copyright. All rights reserved.

Impact of Recipient and Donor Body Mass Index on Survival Outcomes After Intestinal Transplantation: A United Network for Organ Sharing Database Analysis.

BACKGROUND Long-term patient survival after intestinal transplantation (IT) remains low compared with other organ transplants despite years of advancement in clinical experience. While patients with extremely high or low body mass index (BMI) are often considered ineligible for IT, the impact of BMI on post-transplant IT survival remains understudied. MATERIAL AND METHODS Using the United Network for Organ Sharing Standard Transplant database, we conducted a retrospective cohort study on patients who underwent IT between April 11, 1994, and September 29, 2021. We assessed the association of recipient and donor BMI at transplant with post-transplant mortality using Kaplan-Meier survival curves and univariate and multivariate Cox regression analyses. RESULTS A total of 1541 patients were included in our final sample. Of these patients, 806 were females (52.5%) and most were in the normal-weight BMI subgroup (54.2%). Obese class II (mean; 36.8±10.92 years) and underweight patients (mean; 37.6±13.37 years) were significantly younger than patients in other BMI categories. The adjusted multivariate model demonstrated an increased risk of mortality in underweight IT recipients compared to normal-weight IT recipients (aHR=1.25, 95% confidence interval [CI], 1.02-1.54; P=0.032).There was no significant association between donor BMI categories and survival in IT recipients. CONCLUSIONS Recipient BMI below normal is associated with an increased risk of mortality after intestinal transplantation and represents a potentially modifiable patient characteristic to improve survival outcomes.

Phenome-Wide Investigation of the Causal Associations Between Pre-Pregnancy Obesity Traits and Gestational Diabetes: A Two-Sample Mendelian Randomization Analyses.

Pre-pregnancy obesity was associated with gestational diabetes in observational studies, but whether this relationship is causal remains to be determined. To evaluate whether pre-pregnancy obesity traits causally affect gestational diabetes risk, a two-sample Mendelian randomization (MR) analysis was performed utilizing summary-level statistics from published genome-wide association studies (GWAS). Obesity-related traits included body mass index (BMI), overweight, obesity, obesity class 1, obesity class 2, obesity class 3, childhood obesity, waist circumference (WC), hip circumference (HC), waist-to-hip ratio (WHR), percent liver fat, visceral adipose tissue volume, abdominal subcutaneous adipose tissue volume. Effect estimates were evaluated using the inverse-variance weighting method. Weighted median, MR-Egger, simple mode, and weighted mode were performed as sensitivity analyses. Genetically predicted pre-pregnancy BMI [odds ratio (OR) = 1.68; 95% confidence interval (CI): 1.45-1.95; P = 9.13 × 10-12], overweight (OR = 1.49; 95% CI: 1.21-1.85; P = 2.06 × 10-4), obesity (OR = 1.25; 95% CI: 1.18-1.33; P = 8.01 × 10-13), obesity class 1 (OR = 1.31; 95% CI: 1.17-1.46; P = 1.49 × 10-6), obesity class 2 (OR = 1.26; 95% CI: 1.16-1.37; P = 5.23 × 10-8), childhood obesity (OR = 1.33; 95% CI: 1.23-1.44; P = 4.06 × 10-12), and WHR (OR = 2.35; 95% CI: 1.44-3.83; P = 5.89 × 10-4) were associated with increased risk of gestational diabetes. No significant association was observed with obesity class 3, WC, HC, percent liver fat, visceral adipose tissue volume, or abdominal subcutaneous adipose tissue volume. Similar results were observed in sensitivity analyses. Therefore, genetically predicted pre-pregnancy obesity traits may increase the risk of gestational diabetes. Weight control before pregnancy may be beneficial to prevent gestational diabetes.

Appraisal of Minerals, Fasting Blood Glucose, and Lipid Parameters in Obese and Nonobese Premenopausal Women.

Introduction Menopause is an important milestone in the lives of women. Despite it being a natural phenomenon, menopause brings a lot of changes in a woman'slife, which significantly affects their health and well-being.Menopause involves the cessation of hormone productionnecessary for menstrual cycles and fertility of females. The absence of these hormones may disturb the homeostasis of minerals, blood glucose, and lipid parameters and predispose women to several health conditions affecting different organs. Obesity has been identified as one of the several conditions that influence the health of women. Therefore, assessing women'shealth before menopause may improveunderstanding of their well-being and predict problems during and after menopause. The present study evaluated the activities of calcium, magnesium, phosphorous, fasting blood glucose (FBG), and lipid parameters in obese and nonobese premenopausal women. Methods The present study included 90 obese and 110 nonobese premenopausal women attending the General Medicine and Obstetrics and Gynaecology Departments of Gandhi Medical College and Hospital (GMC&H), Secunderabad, Telangana, India. The body mass index (BMI) was measured in all the study participants to put them under obese and nonobese categories. Blood samples were collected from all the study participants for the estimation of the activities of minerals like calcium, magnesium, phosphorous,FBG, and lipid parameters including total cholesterol (TC), triglycerides (TG), very low-density lipoproteins (VLDL), low-density lipoproteins (LDL), and high-density lipoproteins (HDL). Results The results demonstrated a significant difference in the activities of lipid parameters (TC-obese (158.90 ± 20.20 mg/dl) versus nonobese (148.7 ± 18.6 mg/dl), p < 0.05; TG-obese (143.1 ± 58.2 mg/dl) versus nonobese (118.40 ± 55.80 mg/dl), p < 0.01; VLDL-obese (28.30 ± 11.50 mg/dl) versus nonobese (23.30 ± 11 mg/dl), p < 0.05; LDL-obese (92 ± 30.30 mg/dl) versus nonobese (73.90 ± 26.10 mg/dl), p < 0.01; HDL-obese (61.60 ± 12.50) versus nonobese (65.30 ± 11.25 mg/dl), p < 0.01), FBG (obese (106.80 ± 32.20 mg/dl) versus nonobese (88.50 ± 42.60 mg/dl); p < 0.01)), and magnesium (obese (1.79 ± 0.36 mg/dl) versus nonobese (2.42 ± 0.67 mg/dl); p < 0.01)). However, the activities of calcium (obese (9 ± 0.54 mg/dl) vs. nonobese (8.9 ± 0.58); p > 0.05)) and phosphorous (obese (3.84 ± 0.53 mg/dl) versus nonobese (3.75 ± 0.46 mg/dl); p > 0.05)) was found to be similar in obese and nonobese premenopausal women. Conclusions The results suggest that obese premenopausal women revealed lowered activities of magnesium that can predispose them to chronic diseases like cardiovascular diseases. In addition, obese women showed higher activities of FBG that predisposes them to type 2 diabetes mellitus (T2DM). There was significant variation in the lipid parameters among obese and nonobese women. However, serum calcium and phosphorous were similar in obese and nonobese premenopausal women.

Sex difference in nocturnal blood pressure dipping in adolescents with varying degrees of adiposity

BackgroundFor adolescents, abnormal dipping patterns in blood pressure (BP) are associated with early-onset organ damage and a higher risk of cardiovascular disorders in adulthood. Obesity is one of the most common reasons for abnormal BP dipping in young people. However, it is unknown whether the severity of obesity is associated with BP dipping status and whether this association is sex-dependent.Methods499 participants between 12 and 17 years old with overweight or obesity underwent ambulatory blood pressure monitoring (ABPM) between April 2018 and January 2019 in Beijing and Baoding. Participants were grouped by body mass index (BMI) into overweight (BMI 85th–95th percentile), obese (BMI ≥ 95th percentile) and severely obese (BMI ≥ 120% of 95th percentile or ≥ 35 kg/m2) groups. Non-dipping was defined as a < 10% reduction in BP from day to night. The interaction effect between sex and obesity degree was also analyzed.Results326 boys and 173 girls were included, of whom 130 were overweight, 189 were obese, and 180 were severely obese. Girls with severe obesity had a higher prevalence of non-dipping, but boys showed no significant differences in BP dipping status between obesity categories. In addition, as obesity severity went up, a more evident increase in night-time SBP was observed in girls than in boys.ConclusionsSeverely obese is associated with a higher prevalence of non-BP dipping patterns in girls than in boys, which suggests that the relationship between the severity of obesity and BP dipping status might be sex-specific.

Improvement in Accuracy and Concordance of American Society of Anesthesiologist's Physical Status (ASA-PS) Scoring Assignment over a 11 Year Time Period Using Patient BMI as a Comorbidity Finding.

Anesthesia providers categorize patients utilizing the American Society of Anesthesiologists Physical Status (ASA-PS) classification originally created by the ASA in 1941. There is published variability and discordance among providers when assigning patient ASA scores in part due to the subjectivity of scoring utilizing patient medical conditions, but variability is also found using objective findings like BMI. To date, there are few studies evaluating the accuracy of anesthesia providers' ASA assignment based on objective body mass index (BMI) alone. The aim of this retrospective chart review is to determine improvement in accuracy of anesthesia providers to correctly assign patient ASA scores, based on BMI criteria added to the ASA-PS in October of 2014, utilizing a multifaceted strategy including creation of an active finance committee in the fall of 2015, multiple e-mail communications about the updated definitions and recommendations for ASA-PS scoring in the fall of 2015 and spring of 2016, a department grand rounds presentation in February 2016, placement of laminated copies of the ASA definitions and recommendations in the anesthesia chartrooms, and the development of a tool embedded into our EMR providing a recommendation of ASA-PS based on patient comorbidity findings. After attaining IRB approval, all eligible patients over the age of 18 who had surgical procedures under general anesthesia at Mayo Clinic in Rochester, MN, between January 1, 2010, and December 31, 2020, were retrospectively analyzed. A segmented logistic regression model was used to estimate the trends (per-year change in odds) of ASA under classification according to severity of obesity during 3 epochs: preimplementation (2010-2014), implementation (2015), and postimplementation (2016-2020). A total of 16,467 patients of the 200,423 (8.2%) patients with obesity (class 1, 2, and 3) were underscored based on BMI alone. Accuracy of ASA-PS classification, as it pertains to BMI alone, was found to show meaningful improvement year-to-year following the updated ASA-PS guidelines with examples released in October of 2014 (P < 0.001). Most of the improvement occurred in 2015-2017 with relatively little between-year variability in the rate of underscoring from 2017-2020. Despite updated ASA-PS published guidelines, providers may still be unaware of the updated guidelines and inclusion of examples used within the ASA-PS classification system. Accuracy of scoring did improve annually following the release of the updated guidelines with examples as well as department-wide educational activities on the topic. Additional education and awareness should be offered to those responsible for preanesthesia evaluation and assignment of ASA-PS in patients to improve accuracy as it pertains to BMI.

Body Mass Index and Thoracic Expansion in Post-COVID Dyspnea: A Secondary Analysis.

Dyspnea secondary to lung impairment can persist following the acute phase of COVID-19. Thoracic expansion measurements have been used as a diagnostic tool to evaluate chest wall mobility, respiratory function, and the effects of respiratory muscle strength training. Changes in chest wall mobility may occur because of altered chest biomechanics in individuals with respiratory diseases and an elevated body mass index (BMI). The purpose of this secondary analysis was to evaluate whether BMI influences thoracic expansion or forced expiratory volume over 1 second (FEV1) in individuals with persistent dyspnea following COVID-19. This study assessed the relationship between BMI and thoracic expansion, pulmonary symptoms, and exercise capacity following a home-based pulmonary rehabilitation intervention. A secondary data analysis was conducted with a sample of 19 adults with persistent dyspnea following COVID-19 infection who participated in a 12-week, home-based pulmonary rehabilitation study. Participants received expiratory muscle strength training devices and were instructed to perform pulmonary rehabilitation exercises three times per week over the study period. Pulmonary function, pulmonary symptoms, exercise capacity, and BMI measurements were collected. For analysis, study participants were divided into obese (BMI > 30 kg/m2) or nonobese (BMI < 30 kg/m2) categories. Correlations using the change scores from baseline to 12 weeks between thoracic expansion, FEV1, pulmonary symptoms, and exercise capacity were assessed. In addition, the minimal detectable change (MDC) in thoracic expansion was explored. Thoracic expansion was significantly improved after 12 weeks of training (p = .012) in the nonobese group. There was a significant correlation between the change in walking distance and pulmonary symptoms (r = -.738, p < .001) and in thoracic expansion (r = .544, p = .020), and walking distance, when controlling for BMI, but no change in FEV1. Average MDC was 1.28 for inspiration and 0.91 for expiration. Measurements of thoracic expansion were significantly lower in post-COVID individuals with an increased BMI. Individuals with persistent dyspnea and a higher BMI may require additional measures to increase chest mobility or to detect pulmonary changes following COVID-19.

Association of Body Composition Changes with the Development of Diabetes Mellitus: A Nation-Wide Population Study.

We investigated the association between body composition changes and new-onset diabetes mellitus (DM) development according to the body mass index (BMI) in a longitudinal setting in the general Korean population. From 2010 to 2011 (1st) and 2012 to 2013 (2nd), we included 1,607,508 stratified random sample participants without DM from the National Health Insurance Service-Health Screening dataset of Korean. The predicted appendicular skeletal muscle mass index (pASMMI), body fat mass index (pBFMI), and lean body mass index (pLBMI) were calculated using pre-validated anthropometric prediction equations. A prediction equation was constructed by combining age, weight, height, waist circumference, serum creatinine levels, alcohol consumption status, physical activity, and smoking history as variables affecting body composition. Decreased pASMMI (men: hazard ratio [HR], 0.866; 95% confidence interval [CI], 0.830 to 0.903; P<0.001; women: HR, 0.748; 95% CI, 0.635 to 0.881; P<0.001), decreased pLBMI (men: HR, 0.931; 95% CI, 0.912 to 0.952; P<0.001; women: HR, 0.906; 95% CI, 0.856 to 0.959; P=0.007), and increased pBFMI (men: HR, 1.073; 95% CI, 1.050 to 1.096; P<0.001; women: HR, 1.114; 95% CI, 1.047 to 1.186; P=0.007) correlated with the development of new-onset DM. Notably, only in the overweight and obese BMI categories, decreases in pASMMI and pLBMI and increases in pBFMI associated with new-onset DM, regardless of gender. Decreased pASMMI and pLBMI, and increased pBFMI with excess fat accumulation may enhance the risk of newonset DM. Therefore, appropriate changes in body composition can help prevent new-onset DM.

Association of severe obesity with risk of conversion to open in laparoscopic cholecystectomy for acute cholecystitis

BackgroundObesity is a known risk factor for cholecystitis and is associated with technical complications during laparoscopic procedures. The present study seeks to assess the association between obesity class and conversion to open (CTO) during laparoscopic cholecystectomy (LC). MethodsAdult acute cholecystitis patients with obesity undergoing non-elective LC were identified in the 2017–2020 Nationwide Readmissions Database. Patients were stratified by obesity class; class 1 (Body Mass Index [BMI] = 30.0–34.9), class 2 (BMI = 35.0–39.9), and class 3 (BMI ≥ 40.0). Multivariable regression models were developed to assess factors associated with CTO and its association with perioperative complications and resource utilization. ResultsOf 89,476 patients undergoing LC, 40.6 % had BMI ≥ 40.0. Before adjustment, class 3 obesity was associated with increased rates of CTO compared to class 1–2 (4.6 vs 3.8 %; p < 0.001). Following adjustment, class 3 remained associated with an increased likelihood of CTO (Adjusted Odds Ratio [AOR] 1.45, 95 % Confidence Interval [CI] 1.31–1.61; ref.: class 1–2). Patients undergoing CTO had increased risk of blood transfusion (AOR 3.27, 95 % CI 2.54–4.22) and respiratory complications (AOR 1.36, 95 % CI 1.01–1.85). Finally, CTO was associated with incremental increases in hospitalization costs (β + $719, 95 % CI 538–899) and length of stay (LOS; β +2.20 days, 95 % CI 2.05–2.34). ConclusionsClass 3 obesity is a significant risk factor for CTO. Moreover, CTO is associated with increased hospitalization costs and LOS. As the prevalence of obesity grows, improved understanding of operative risk by approach is required to optimize clinical outcomes. Our findings are relevant to shared decision-making and informed consent.

Obesity and Overweight: First Comprehensive Overview in the French Armed Forces.

The global rise in obesity is well-established, with significant health implications. This study aims to comprehensively assess overweight and obesity prevalence within the French Armed Forces. Using data from the Unique Medical-Military Software (UMMS) in 2018, a cross-sectional study was conducted on active French Military personnel aged 18 and above, who underwent periodic medical examinations (PME) in 2017. Body Mass Index (BMI) served as the main criterion for overweight and obesity classification. A representative sample was obtained through random sampling. The sample included 17,082 individuals, revealing an average age of 33.5 years, with 36.1% classified as overweight and 9.6% as obese. The mean BMI of women was significantly lower than that of men (23.9 vs 25.3 kg/m2-P < .001). Results indicated that 22.4% of women vs 38.5% of men were overweight (P < .001). For obesity, the difference was not significant (8.8% of women vs 9.8% of men-P = .138). BMI increased with age, and non-commissioned officers (NCOs) showed the highest prevalence of obesity. Gendarmes exhibited the highest BMI and overweight rates (50.1%) among military branches. While obesity is less prevalent in the French Armed Forces compared to the general population, the study emphasizes the equivalent prevalence of overweight. We confirm here that the global epidemic of obesity and overweight affects all armed forces. France seems less affected than other Western armies. Targeting specific groups, such as NCOs and the national gendarmerie, is crucial for prevention.

Obesity Prevalence and Its Impact on Maternal and Neonatal Outcomes among Pregnant Women: A Retrospective Cross-Sectional Study Design.

The escalating prevalence of obesity in women of reproductive age raises concerns about its impact on maternal and fetal health during pregnancy. This study aimed to thoroughly assess how obesity affects pregnancy and neonatal outcomes among Saudi pregnant women. In a retrospective cross-sectional study, we analyzed 8426 pregnant women who delivered at King Fahad National Guard Hospital in Riyadh in 2021. Of these, 3416 had obesity, and 341 of them, meeting the inclusion criteria, were selected. Maternal and neonatal outcomes were compiled using a structured questionnaire and extracted from the hospital's "Best Care" data-based registration system. The findings highlighted that 40.5% of pregnant women were classified as obese, with almost half falling into obesity class II based on BMI. Obesity correlated significantly with adverse maternal outcomes like gestational diabetes and increased rates of cesarean deliveries. Additionally, maternal obesity was linked to unfavorable fetal outcomes, including higher rates of newborn intensive care unit admissions, lower APGAR scores at 1 min, and a greater likelihood of macrosomia. This study underscores the important impact of maternal obesity on both maternal and fetal health during pregnancy. Addressing this high-risk condition demands targeted educational programs for women of reproductive age focusing on BMI control, dietary adjustments, and lifestyle modifications to mitigate obesity-related complications during pregnancy.

The impact of prepregnancy body mass index on pregnancy and neonatal outcomes.

The obesity epidemic in the United States is continuing to worsen. Obesity is a known risk factor for pregnancy morbidity. However, many studies use the patient's body mass index (BMI) at the time of delivery, do not stratify by class of obesity, or utilize billing codes as the basis of their study, which are noted to be inaccurate. This study aims to investigate the prepregnancy BMI class specific risks for pregnancy and neonatal complications based on a prepregnancy BMI class. We conducted a retrospective cohort study of40,256 pregnant women with 55,202 singleton births between October 16, 2007 and December 3, 2023. We assessed the risk of pregnancy and neonatal morbidity based on the maternal prepregnancy BMI category. The primary outcome was composite maternal morbidity, including hypertensive disorders of pregnancy (i.e.,gestational hypertension [GHTN] and preeclampsia), and gestational diabetes mellitus (GDM), adjusted for pregestational diabetes mellitus and chronic hypertension (cHTN). Secondary maternal outcomes included preterm premature rupture of membranes (PPROM), preterm delivery (PTD<37 and <32weeks), induction of labor (IOL), cesarean delivery (CD), and postpartum hemorrhage (PPH). Neonatal outcomes included a composite adverse outcome (including stillbirth, intraventricular hemorrhage (IVH), hypoglycemia, respiratory distress syndrome [RDS], APGAR [Appearance, Pulse, Grimace, Activity, and Respiration] <7 at 5 min, and neonatal intensive care unit [NICU] admission), birthweight, fetal growth restriction (FGR), and macrosomia. Composite maternal morbidity (odds ratio [OR] 4.40,confidence interval [CI] 3.70-5.22 for class III obesity [BMI≥40.0 kg/m2] compared with normal BMI), hypertensive disorders of pregnancy (HDP), GDM, PTD, IOL, CD, PPH, neonatal composite morbidity, hypoglycemia, RDS, APGAR<7 at 5 min, NICU admission, and macrosomia showed a significant increasing test of trend among BMI classes. Increased BMI was protective for FGR. Our data provides BMI-class specific odds ratios (ORs) for adverse pregnancy outcomes. Increased BMI class significantly increases the risk of HDP, GDM, IOL, CD, composite adverse neonatal outcomes, and macrosomia, and decreases the risk of FGR. Attaining a healthier BMI category prior to conception may lower pregnancy morbidity.

The Burden of Obesity in Cardiac Surgery: A 14 years' Follow-Up of 14.754 Patients.

The prevalence of obesity is rapidly increasing during the past decades. While previous research has focused on the early outcome after cardiac surgery or specific complications, the current study covers the whole burden of obesity in the field of cardiac surgery over short term and long term. Endpoints of the study were all-cause mortality, perioperative outcome, and wound-healing disorders (WHDs). 14.754 consecutive patients who underwent cardiac surgery over a 14 years' time period were analyzed. BMI classifications were used according to the WHO definition. Mean survival was 11.95 years ± 0.1; CI 95% [12.04-12.14]. After adjustment for clinical baseline characteristics, obesity classes' I-III (obesity) did not affect 30-day mortality or all-cause mortality during the whole observational period. After adjustment for known risk factors, the risk for WHDs doubled at least in obesity patients as follows: obesity I (OR = 2.06; CI 95% [1.7-2.5]; p < 0.0001), obesity II (OR = 2.5; CI 95% [1.83-3.41]; p < 0.0001), and obesity III (OR = 4.12; CI 95% [2.52-6.74]; p < 0.0001). The same applies to the risk for sternal reconstruction that is substantially elevated in obesity I (OR = 2.23; CI 95% [1.75-2.83]; p < 0.0001), obesity II (OR = 2.81; CI 95% [1.91-4.13]; p < 0.0001), and obesity III (OR = 2.31; CI 95% [1.08-4.97]; p=0.03). No significant correlation could be found between obesity and major adverse events in the perioperative course like renal failure, ventilation >24 h, re-exploration, or cerebrovascular events. Cardiac surgery is safe in obesity as short- and long-term mortality are not increased, and major adverse events during the perioperative course are similar to control patients. The burden of obesity lies in substantially increased rates of wound-healing disorders and sternal reconstructions.

Thyroid Function and Physical Activity among a Sample of Patients Attending Murjan Hospital in Hilla City/Iraq

Background: Physical activity can also enhance thyroid function. Exercising can be challenging when experiencing exhaustion, but it is crucial for managing hypothyroidism. Objective of study : To determine a correlation between thyroid function and physical activity, as well as anthropometric measurements Patients and Methods: A cross-sectional study was conducted on 348 patients with thyroid dysfunction who were attending a diabetes and endocrinology center in AL Hilla City, Iraq . the data collection for five months from march 2023- august 2023. Results : The study shows that a higher proportion of thyroid dysfunction regarding to BMI in obese category was (32.2%) followed by overweight(29.3%),morbid obese(24.4%) and lower proportion in normal weight was (14.9%).with mean (30.92 ±5.42SD).according to waist to hip ratio ,a higher percentage(53.2%) at risk followed by (28.7%) average,(12.6%) was good and lower percentage (5.5%) of waist to hip ratio was excellent. The present study found a higher percentage (41.7%) of waist to height ratio was obese followed by(21.0%) was overweight,(19.5%) was healthy and lower percentage was (17.8%).according to physical activity ,a higher percentage (50.0%) was low level followed by (46.3%) was moderate level and (3.7%) was vigorous level. A significant association found between anthropometric measurement and thyroid dysfunction except height found no significant, also found significant connection between thyroid dysfunction and international physical activity questionnaire score, and significant connection between thyroid stimulating hormones and family history, anthropometric measurements. And also significant connection between thyroid function test and thyroid dysfunction. Conclusion: significant association between hypothyroidism and low level of physical activity , obesity and morbid obesity.

Rethinking causal assumptions about maternal BMI, gestational weight gain, and adverse pregnancy outcomes

BackgroundThe aim of this study was to evaluate commonly assumed causal relationships between body mass index (BMI), gestational weight gain (GWG), and adverse pregnancy outcomes, which have formed the basis of guidelines and interventions aimed at limiting GWG in women with overweight or obesity. We explored relationships between maternal BMI, total GWG (as a continuous variable and as ‘excessive’ GWG), and pregnancy outcomes (including infant birthweight measures and caesarean birth).MethodsAnalysis of individual participant data (IPD) from the i-WIP (International Weight Management in Pregnancy) Collaboration, from randomised trials of diet and/or physical activity interventions during pregnancy reporting GWG and maternal and neonatal outcomes.Women randomised to the control arm of 20 eligible randomised trials (4370 of 8908 participants) from the i-WIP dataset of 36 randomised trials (total 12,240 women). The main research questions were to characterise the relationship between maternal BMI and (a) total GWG, (b) the risk of ‘excessive’ GWG (using the Institute of Medicine’s guidelines), and (c) adverse pregnancy outcomes as mediated via GWG versus other pathways to determine the extent to which the observed effect of maternal BMI on pregnancy outcomes is mediated via GWG. We utilised generalised linear models and regression-based mediation analyses within an IPD meta-analysis framework.ResultsMean GWG decreased linearly as maternal BMI increased; however, the risk of ‘excessive’ GWG increased markedly at BMI category thresholds (i.e. between the normal and overweight BMI category threshold and between the overweight and obese BMI category threshold). Increasing maternal BMI was associated with increased risk of all pregnancy outcomes assessed; however, there was no evidence that this effect was mediated via effects on GWG.ConclusionsThere is evidence of a meaningful relationship between maternal BMI and GWG and between maternal BMI and adverse pregnancy outcomes. There is no evidence that the effect of maternal BMI on outcomes is via an effect on GWG. Our analyses also cast doubt on the existence of a relationship between ‘excessive’ GWG and adverse pregnancy outcomes. Our findings challenge the practice of actively managing GWG throughout pregnancy.

The interplay between excess weight and hyper-glycemia on NCDs in Italy: results from a cross-sectional study

PurposeTo evaluate the prevalence of chronic comorbidities according to BMI classes and assess the interplay between excess body weight and blood glucose abnormalities in increasing the risk of major chronic diseases.MethodsThe study is based on data from the Health Search/IQVIA Health LPD Longitudinal Patient Database, an Italian general practice registry, with data obtained from electronic clinical records of 800 general practitioners throughout Italy. Data relative to the year 2018 were analyzed. The study population was classified according to BMI (normal weight, overweight, and obesity classes 1, 2 and 3) and glucose metabolism status (normoglycemia—NGT; impaired fasting glucose—IFG; diabetes mellitus—DM). Comorbidities were identified through ICD-9 CM codes.ResultsData relative to 991,917 adults were analyzed. The prevalence of overweight was 39.4%, while the prevalence of obesity was 11.1% (class 1: 7.9%, class 2: 2.3%, class 3: 0.9%). In the whole population, the prevalence of DM and IFG was 8.9% and 4.2%, respectively. Both overweight and obesity were associated with an increasing prevalence of glucose metabolism alterations and a large array of different chronic conditions, including cardio-cerebrovascular diseases, heart failure, chronic kidney disease, osteoarticular diseases, depression, sleep apnea, and neoplasms of the gastrointestinal tract. Within each BMI class, the presence of IFG, and to a greater extent DM, identified subgroups of individuals with a marked increase in the risk of concomitant chronic conditions.ConclusionAddressing the double burden of excess weight and hyperglycemia represents an important challenge and a healthcare priority.

OBESITY AND IN-HOSPITAL OUTCOMES AMONG PATIENTS WITH SEVERE COVID-19 IN VIET NAM

Introduction: COVID-19 (Coronavirus disease 2019) is a global pandemic. Overweight and obesity are risk factors related to mortality as well as disease severity. Overweight and obesity are also increasing in Vietnam. Data related to the characteristics of COVID-19 in this vulnerable population was limited in Vietnam. The study was conducted (1) to describe the outcomes of overweight and obese COVID-19 patients, and (2) to investigate factors associated with the outcomes of overweight and obese COVID-19 patients. Methods: A cross-sectional description was conducted at the Hospital for Tropical Diseases from July 2021 to December 2021. Patients who were (1) ≥ 18 years old (2) diagnosed with COVID-19 with a positive RT-PCR SARS-CoV-2 result and (3) had BMI ≥ 23 kg/m2. Female pregnant women or ascites were excluded from this study. To determine factors associated with mortality and ICU admission, chi-square and Fisher's Exact were used. Variables with p &lt; 0.05 were included in the logistic regression model to investigate independent risk factors. Cases directly admitted to the ICU were excluded when analyzing risk factors for ICU admission. Results: 173 patients were recruited (70 patients (40.46%) were overweight, 74 patients (42.77%) were obesity class I and 29 patients (16.76%) were obesity class II). The overall mortality rate was 28.9%. The ICU admission rate was 46.2% with a median ICU stay of 9 (6 – 15.25) days. The rate of respiratory support was 83.8%, of which 31.8% of patients required invasive mechanical ventilation and the median duration of respiratory support was 12 (6.5 – 16.5) days. Independently factors associated with ICU admission were diabetes (OR = 2.92 (1.27 – 6.67)) and a severe or critical condition at admission (OR = 8.82 (2.51 – 31.08). Independently factors associated with death were vaccination (OR = 0.23 (0.08 – 0.63)), a severe or critical at admission (OR = 15.74 (3.46 – 71.55)) and remdesivir usage (OR = 0.78 (0.16 – 0.87)). Recommendation: Vaccination against COVID-19 has been shown to be effective in the obese and overweight population.