Obesity Class Research Articles

Health-related quality of life and associations with general characteristics among older patients with overweight and obesity

Objectives: To assess health-related quality of life (HRQoL) and associations with general characteristics among older people with overweight and obesity. Subjects and Methods: A cross-sectional study on 220 older patients with overweight and obesity examined and treated at National Geriatric Hospital from January to May 2023. HRQoL were assessed using the EQ–5D– 5L questionnaire. General information and classification of obesity were also collected. Results: Of the total 220 participants, the proportion of patients with difficulties in aspects such as mobility was 57.3%; self- care is 48.6%; usual activities is 55.5%; pain/ discomfort is 65% and anxiety/depression is 49.5%. The results showed that HRQoL in women was significantly lower than in men in terms of pain/discomfort and anxiety/ depression (p<0.05). People living in urban areas have better HRQoL than those living in rural areas in terms of usual activities with p<0.05. People living in rural areas have lower EQ-VAS health self-assessment scores than those living in urban areas, which is statistically significant with p<0.05. Between groups with the different numbers of hospital stays in the past year, there was a significant difference in almost all aspects of HRQoL (p<0.05) except for pain/discomfort. The more hospital stays, the lower the HRQoL, especially the lower the EQ - VAS score (p < 0.001). Conclusion: About 50% of the participants self-rated as having problems with one of the aspects of HRQoL among older patients with overweight and obesity. Our results highlighted that aspects of quality of life EQ - 5D are related to gender, living area, and number of hospitalization in the past year among this population.

Characteristics of falls in older patients with overweight and obesity

Objectives: To assess characteristics of falls and associations with general characteristics among older people with overweight and obesity. Subjects and Methods: A cross-sectional study on 233 older patients with overweight and obesity examined and treated at National Geriatric Hospital from January to May 2023. Fall characteristics, general information and classification of obesity were collected by interviewing using a questionnaire. Results: Of the total 220 participants, the proportion of patients with falls in the last 12 months was 16.7%. 46.2% of participants have recurrent falls. The percentage of fall injury and fall that required hospitalization were 69.2% and 5.1%, respectively. Falls inside the house/ bedroom account for the highest rate at 12%. Slips and falls accounted for the highest proportion in the circumstances of falls (6.9%) and loss of balance (4.3%). The group of subjects ≥ 75 years old had a higher rate of falls (69.2%) compared with the group of subjects aged 65-74 years (30.8%) (p<0.05). Conclusion: 1 out of 6 elderly people who are overweight or obese has had a fall in the past 12 months. Our results highlighted that falls are related to advanced age among this population.

Preconceptional paternal obesity may increase the risk of congenital urogenital anomalies in offspring: A case-control study.

Congenital urogenital anomalies affect 4-60 per 10,000 births. Maternal obesity, along with other risk factors, is well documented as a contributing factor. However, the impact of paternal obesity on risk is unclear. Obesity is prevalent among men of reproductive age, highlighting the need for further research into the potential association between paternal obesity and offspring congenital urogenital anomalies. This study aims to determine the association between paternal obesity and the risk of congenital urogenital malformations in offspring. Case-control study conducted on 179 newborns (91 cases, 88 controls) selected from the Notre Dame des Secours-university hospital database. Cases were identified as newborns presenting at least one congenital urogenital abnormality, defined as developmental anomalies that can result in a variety of malformations affecting the kidneys, ureters, bladder, and urethra. Controls were identified as newborns without any congenital abnormalities. The exclusion criteria were maternal obesity, infections during pregnancy, chronic diseases, prematurity, growth retardation, assisted reproductive technologies for conception, substance abuse, down syndrome, and other malformations. Data were collected through phone interviews, medical records, and questionnaires. In this study, the exposure was the preconceptional paternal body mass index (BMI), which was calculated based on self-reported height and weight. According to guidelines from the US Centers for Disease Control and Prevention (CDC), individuals are considered to be in the healthy weight range if their BMI (kg/m2) is between 18.5 and<25. They are classified as overweight if their BMI is ≥ 25, obese class I if their BMI is between 30 and<35, obese class II if their BMI is between 35 and<40, and obese class III if their BMI is 40 or higher. Logistic regression analysis was employed to quantify the association between paternal obesity and urogenital conditions in offspring. Significant differences in median (minimum-maximum) paternal BMI values were noted between the cases and controls at the time of conception (cases: 27.7 (43-20.1), controls: 24.8 (40.7-19.6); p<0.0001). Logistic regression analysis confirmed that at the time of conception, compared to normal-weight fathers, overweight fathers displayed a heightened risk of offspring congenital malformations, with an odds ratio (OR) of 4.44 (95% CI=2.1-9.1). Similarly, fathers categorized as obese Class I at conception had approximately eight times higher odds (OR=8.62, 95% CI=2.91-25.52) of having offspring with urogenital conditions compared to normal-weight fathers. Additionally, fathers classified as obese Class II at conception exhibited 5.75 times higher odds (OR=5.75, 95% CI=0.96-34.44) of having offspring with urogenital conditions in comparison to normal-weight fathers. We found that the risk of urogenital malformations increased with paternal BMI during the preconceptional period. The findings suggest the importance of addressing paternal obesity in efforts to reduce the risk of urogenital congenital malformations in offspring.

Prevalence of Osteoporosis and Its Effect on Residual Ridge Resorption in Postmenopausal Females of Rural Central Indian Region.

To determine the correlation between body mass index (BMI), bone mineral density (BMD), and residual ridge resorption (RRR) in postmenopausal females and the effect of osteoporosis on RRR. A study was conducted with 60 postmenopausal female individuals. BMI was calculated using the weight and height of the patient using a formula. BMD was assessed and graded using a T-score. RRR was determined using the Tallgren method. Most individuals showed a higher BMI (63.33%), which is in the overweight or obese category. BMD was lower in approximately 68.33% of patients, and RRR was significantly higher in about 60% of total patients. The higher the BMI values, the lesser the BMDand the higher the RRR.

Association between overweight and obesity with coronary artery bypass graft failure: an individual patient data analysis of clinical trials.

The association between obesity and graft failure after coronary artery bypass grafting has not been previously investigated. We pooled individual patient data from randomized clinical trials with systematic postoperative coronary imaging to evaluate the association between obesity and graft failure at the individual graft and patient levels. Penalized cubic regression splines and mixed-effects multivariable logistic regression models were performed. Six trials comprising 3928 patients and 12048 grafts were included. The median time to imaging was 1.03 (interquartile range 1.00-1.09) years. By body mass index (BMI) category, 800 (20.4%) patients were normal weight (BMI 18.5-24.9), 1668 (42.5%) were overweight (BMI 25-29.9), 983 (25.0%) were obesity class 1 (BMI 30-34.9), 344 (8.8%) were obesity class 2 (BMI 35-39.9) and 116 (2.9%) were obesity class 3 (BMI 40+). As a continuous variable, BMI was associated with reduced graft failure [adjusted odds ratio (aOR) 0.98 (95% confidence interval (CI) 0.97-0.99)] at the individual graft level. Compared to normal weight patients, graft failure at the individual graft level was reduced in overweight [aOR 0.79 (95% CI 0.64-0.96)], obesity class 1 [aOR 0.81 (95% CI 0.64-1.01)] and obesity class 2 [aOR 0.61 (95% CI 0.45-0.83)] patients, but not different compared to obesity class 3 [aOR 0.94 (95% CI 0.62-1.42)] patients. Findings were similar, but did not reach significance, at the patient level. In a pooled individual patient data analysis of randomized clinical trials, BMI and obesity appear to be associated with reduced graft failure at 1 year after coronary artery bypass grafting.

Physiological Characteristics of Surgical Patients With Obesity in Response to the 6-Min Walk Test

ABSTRACT Background: Overall health and fitness contribute to surgical experience and recovery. The aim of this study was to describe an array of physiological characteristics in a presurgical patient cohort with obesity as a function of their sustained walking speed. Methods: We performed a prospective single-center cohort study in Wollongong Hospital, Australia from 2016 to 2018. Patients (N = 293) with severe obesity completed a 6-min walk test and were classified as either slow or fast walkers according to the cut point of 0.9 m·s−1 (2 mph). These groups were compared for anthropometry, comorbidities, respiratory and cardiovascular physiology, blood biomarkers, patient-centered outcomes, and perception of effort. Results: Slow walkers (n = 115; age 65 [63 to 67] years; mean [95% confidence interval]) and fast walkers (n = 178; age 54 [52 to 56]; P &amp;lt; 0.05) were not different in body weight but were different for body mass index (slow 43.2 [42.0 to 44.4] versus fast 41.1 [40.5 to 41.8]; P &amp;lt; 0.05). Cardiovascular disease and renal disease were more prevalent in slow walkers. Respiratory physiology reflective of restrictive lung disease (force vial capacity [L] slow 2.61 [2.45 to 2.77] versus fast 3.34 [3.19 to 3.47]; P &amp;lt; 0.05) was more common in slow walkers, who also reported higher dyspnea ratings. Resting cardiovascular characteristics were not different, although N-terminal pro-B-type natriuretic peptide levels were higher in the slow group (P &amp;lt; 0.05). Quality of recovery at postoperative day 30 was higher in the fast walking group. Conclusion: In this Australian cohort, patients with obesity undergoing nonbariatric surgery differed in their physiological profiles according to walking speed. This study supports the need to appreciate the physical fitness of patients beyond simplified body weight and classification of obesity in the perioperative period.

Impact of obesity on breast cancer clinicopathological characteristics in underserved community dweller women of Chicagoland: An experience from a US safety-net hospital.

e22519 Background: Breast cancer (BC) continues to pose a significant public health challenge, with its incidence and disproportionate impact on underserved populations in the United States. The relationship between obesity and clinicopathological characteristics at presentation remains a critical area of investigation. Safety-net hospitals catering to diverse, underserved, and often marginalized communities provide a unique setting to explore these associations, shedding light on potential disparities and informing targeted interventions. This study seeks to address a critical gap in knowledge on obesity and BC characteristics in underserved populations in the United States. Methods: In this retrospective study, 927 BC patients were included. Analysis was conducted to assess the association between body mass index (BMI), age of diagnosis, tumor clinicopathologic characteristics, and molecular types. The analysis was stratified by menopausal status at diagnosis. Results: The average age at diagnosis was 57.52 ± 12.40 years; 60.2% were postmenopausal women. Patients were categorized based on BMI into underweight/normal, overweight, and obese categories. One-way ANOVA analysis revealed no significant difference in mean age at presentation between BMI groups (p = 0.08). A significant association was found between BMI and menopausal status (p &lt; 0.05). Disease stage at presentation was significantly associated with BMI (p &lt; 0.05). Further investigation into BMI categories and tumor characteristics revealed a significant correlation in postmenopausal women, with obesity linked to tumor size and lymph node status (p &lt; 0.05). No significant associations were observed between HER-2 status, ER/PR status, and obesity in either premenopausal or postmenopausal groups. In the subgroup analysis focusing on ethnic groups, African American patients (with an average BMI of 32.8 ± 8.2 kg/m2) demonstrated a higher prevalence of obesity at BC diagnosis in both pre and post-menopausal females compared to other ethnic groups (p &lt; 0.05). Conclusions: Obesity was associated with the disease stage and menopause status at diagnosis. In postmenopausal patients, obesity was associated with tumor size and lymph node disease status. Additionally, ethnic variations were evident, with African American patients displaying a higher prevalence of obesity. We need further investigations to tailor interventions addressing diverse demographic factors in BC management.

Normative values for body composition in 22,191 healthy Norwegian adults 20–99 years: The HUNT4 study

BackgroundBody mass, body mass index (BMI), and body composition components are essential for health and longevity. Considering the influence of demographic factors on body composition, there is a need for tailored reference values based on age-, sex-, and geography. We aimed to construct a comprehensive reference material on body composition in healthy Norwegian adults. MethodsIn this cross-sectional study, we estimated age- and sex-specific reference values for body-, fat-, and muscle mass variables using multi-frequency bioelectrial impedance analysis (such as body fat percentage, skeletal muscle mass and visceral fat area) in 22,191 healthy adults aged 20–99 years participating in the Trøndelag Health Study 4 (HUNT4). We calculated the fat mass and skeletal muscle mass index as the total fat and muscle mass relative to height squared and used general linear models to explore the associations between physical activity (PA), BMI, and age. ResultsWith a BMI (kg/m2) of 25.4 (SD 5.1) and 26.0 (4.5) for women and men, respectively, the youngest age group (20–39 yrs) had a lower BMI compared to their counterparts aged 40–59 years (26.3 [4.5] and 27.5 [3.8]) and ≥ 60 years (25.7 [4.1] and 26.5 [3.4]), respectively. Those aged 20–39 years also had the lowest values for the different body fat variables measured. Fat mass index (kg/m2) was 8.41 (4.00) and 5.81 (3.29) for women and men aged 20–39 years, respectively, compared to 9.25 (3.21) and 6.86 (2.46) for those aged ≥60 years. The oldest age group had the lowest values for the various muscle mass variables; women and men aged 60+ years had a skeletal muscle mass index (kg/m2) of 8.91 (0.85) and 10.96 (1.00), respectively. Corresponding values for those aged 20–39 years were 9.33 (0.97) and 11.49 (1.15). For all age groups and both sexes, regular physical activity was associated with lower levels of fat mass, whereas the association between muscle mass and PAwas less conclusive. When using body fat percentage as an obesity measure, we observed a much higher obesity prevalence (41.2%) in the study population compared to BMI (17.3%). ConclusionsOur study offers a comprehensive reference for body composition among healthy adults in Norway, aiding the identification of abnormal fat and muscle mass values across age groups. We also highlight that BMI often misclassifies individuals with adiposity levels in the overweight or obese category as lean. Therefore, incorporating body composition when defining obesity could enable early intervention to prevent cardiometabolic diseases.

Impact of body mass index and karyotype on clinical outcomes in adolescents and young adults (AYA) with acute myeloid leukemia.

6551 Background: Acute myelogenous leukemia (AML) represents 15%–20% of leukemias in children and approximately 33% in adolescents and young adults (AYA) (1). Obesity has been associated with worse outcome in acute lymphoblastic leukemia in AYA patients (pts). To date, however, the relationship between weight and clinical outcomes in AYA pts diagnosed with AML has not been established. We investigated the impact of body mass index (BMI) along with other prognostic factors on outcomes of AYA AML pts receiving intensive chemotherapy and/or allogeneic stem cell transplant (SCT). Methods: This retrospective chart review included pts 18-39 yrs newly diagnosed with AML between 01/2006-12/2023. All pts received intensive chemotherapy with cytarabine- and anthracycline-based induction followed by consolidation chemotherapy +/- SCT. BMI was calculated using height and weight at AML diagnosis. Pts were classified by BMI into under, normal, overweight, or obese categories. AML risk classification (ELN 2022) and HCT co-morbidity index (HCT-CI) were performed. Outcomes included complete response (CR), CR with incomplete counts (CRi), overall response rates (CR+CRi), event free survival (EFS), and overall survival (OS). Results: Eighty-seven pts (median age 25 yrs, range 18-38) were identified. 44 (51%) were male; 85% were Caucasian. Per ELN 2022, 27 (31%) had favorable, 40 (46%) intermediate, and 20 (23%) adverse risk. Overall response rate to chemotherapy was 92% (CR 80%, CRi 12%). CR rate by ELN was 96%, 72% and 58%, respectively. Median OS for all pts was 788 days and per ELN risk was 1379, 569, and 595 days, respectively. Co-morbidity indices (HCT-CI) ranged from 0-5. Sixty-two percent underwent SCT. 29% relapsed. The percentage of pts alive at 2 and 5 years was 54% and 29%. Pts were categorized by BMI: underweight (BMI &lt; 18.5, 6%), normal weight (NW) (BMI 18.5-24.9) (37%), overweight (OW)(BMI 25-29, 26%), and obese (OB) (BMI &gt; 30, 31%) pts. Overall, there was a trend to improved outcomes in NW vs OW and OB pts. Median OS was 1006 (NW) vs 748 (OW) vs 678 (OB) days (p=0.0036 for NW vs OW/OB). Two-year OS was 63%, 52%, and 48%; 5-year OS was 38%, 26%, and 19%. The impact of BMI was dependent on AML karyotype. In favorable risk AML AYA pts, the relapse rate was 4%, 4% and 12%. Median OS was 1982 (NW), 1169 (OW), and 1256 (OB) days (p=0.0525 NW vs OW/OB). Five-year OS was 50%, 25% and 18%. The most common causes of death were GVHD-induced multi-organ failure and respiratory failure which did not correlate with HCT-CI. In intermediate and adverse risk AML, there was no difference in outcomes by BMI. Conclusions: Outcomes of favorable risk AYA AML pts following intensive chemotherapy +/- SCT was influenced by BMI with increased mortality and shorter OS in pts with high BMI (overweight and obese) as compared to normal BMI. Additional studies to confirm this finding and elucidate the underlying reasons are warranted.

Understanding the relationship between obesity and in-hospital outcomes in gastric cancer patients : A nationwide analysis.

e16050 Background: Gastric cancer is the fifth most common form of cancer and the third leading cause of cancer-related deaths worldwide. Obesity has been identified as a significant risk factor for gastric cancer, associated with increased incidence and heightened complications in hospitalized patients. Our analysis comprehensively evaluates obesity's impact on hospital-admitted gastric cancer patients. Methods: Using the National Inpatient Sample (NIS) 2020, we identified gastric cancer patients with regional and advanced metastatic disease, and they were stratified into patients with and without obesity. The primary outcome was mortality, and secondary outcomes included length of stay, the total cost of hospitalization, and other in-hospital adverse outcomes. Multivariate logistic regression analysis was used to calculate the outcomes after adjusting for confounding variables. Results: A total of 17560 patients were hospitalized with gastric cancer, among which 1720(9.8%) had the concurrent diagnosis of Obesity. The mean age of patients with and without Obesity was 63 (+/- 13.88) and 66 (+/- 12.93),p&lt;0.001 respectively. The obese category had the greater percentage of male patients as compared to females (58.14% vs 44.85% respectively, p&lt;0.001). After adjusting for confounding variables, Obesity was not considered as an independent predictor of mortality in patients with gastric cancer (OR=1.06(0.59-1.92); p=0.90). However, patients with Obesity had prolonged length of stay (+ 1.52 days(1.49-2.26); p=0.004) and total cost of hospitalization (+ $30977(12320-49633); p=0.001). Similarly, obese patients had an increased likelihood of Acute kidney injury (OR=1.47(1.09-1.96); p=0.01), ICU admission (OR=2.01(1.30-3.09); p=0.002), invasive (OR=2.14(1.29-3.54); p=0.003) Noninvasive mechanical ventilation (OR=5.36(2.17-13.14); p&lt;0.001) and Heart failure (OR=1.68(1.09-2.57); p=0.02). No difference was noted in the risk of cardiac arrest (OR=1.26(0.28-5.68); p=0.76), and sepsis(OR=1.76(0.99-3.13); p=0.05). Conclusions: Obesity in patients with gastric cancer is not an independent predictor of mortality but is associated with increased length of stay, the total cost of hospitalization, increased risk of mechanical ventilation, and ICU admissions. Management of obesity can prove crucial in averting a wide range of potential health complications and significantly enhancing the overall quality of life in gastric cancer patients. [Table: see text]

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 ( &lt; 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.