Unit Increase In Body Mass Index Research Articles

Association between risk factors and bone mineral density and the development of a self-assessment tool for early osteoporosis screening in postmenopausal women with type 2 diabetes.

Both diabetes and osteoporosis have developed into major global public health problems due to the increasing aging population. It is crucial to screen populations at higher risk of developing osteoporosis for disease prevention and management in postmenopausal women with type 2 diabetes (T2D). This study aims to quantitatively investigate the association between risk factors and bone mineral density (BMD) and develop a self-assessment tool for early osteoporosis screening in postmenopausal women with T2D. We retrospectively enrolled 1,309 postmenopausal women with T2D. Linear regression methods were used to assess the association between risk factors and BMD. Additionally, a multivariate logistic regression analysis was performed to identify independent risk factors associated with osteoporosis. Utilizing the logistic regression machine learning algorithm, we developed an osteoporosis screening tool that categorizes the population into three risk regions based on age and body mass index (BMI), indicating low, moderate, and high prevalence of osteoporosis in the age-BMI plane. Older age and lower BMI were independently associated with decreased BMD. The BMD at the total hip, femur neck, and lumbar spine differed by 12.9, 10.9, and 15.5 mg/cm2 for each 1 unit increase in BMI, respectively. Both age and BMI were identified as independent predictors of osteoporosis. The osteoporosis screening tool was developed by using two straight lines with equations of BMI = 0.56 * age-4.12 and BMI = 0.56 * age-10.88; there were no significant differences in the prevalence of osteoporosis among the training, internal test, and external test datasets in the low-, moderate-, and high-risk regions. We have successfully developed and validated a self-assessment tool for early osteoporosis screening in postmenopausal women with T2D for the first time. BMI was identified as a significant modifiable risk factor. Our study may improve awareness of osteoporosis and is valuable for disease prevention and management for postmenopausal women with T2D.

Preconception and Early-Pregnancy Body Mass Index in Women and Men, Time to Pregnancy, and Risk of Miscarriage

Obesity in women is associated with reduced fertility and an increased risk of miscarriage. These associations might also be present across the full range of body mass index (BMI) categories as well as among men. To investigate the associations of preconception BMI in both partners with time to pregnancy and miscarriage. This population-based prospective cohort study was conducted in Rotterdam, the Netherlands, between August 9, 2017, and July 1, 2021. A total of 3604 women and their partners were included from the preconception period onward with follow-up until birth. The date of analysis was July 12, 2024. Body mass index (calculated as weight in kilograms divided by height in meters squared) measured in preconception or early pregnancy. Fecundability, defined as the probability of conceiving within 1 month; subfertility, defined as time to pregnancy or duration of actively pursuing pregnancy of more than 12 months or use of assisted reproductive technology; and miscarriage, defined as pregnancy loss before 22 weeks of gestation. These measures were assessed using questionnaires and via the obstetric caregiver. The study population for time-to-pregnancy analyses consisted of 3033 episodes among women (median age, 31.6 years [IQR, 29.2-34.5 years]; median BMI, 23.5 [IQR, 21.2-26.5]) and 2288 episodes among men (median age, 33.4 years [IQR, 30.5-36.8 years]; median BMI, 24.9 [IQR, 23.0-27.4]). The study population for miscarriage analyses consisted of 2770 pregnancy episodes among women (median age, 31.5 years [IQR, 28.9-34.3 years]; median BMI, 23.5 [IQR, 21.3-26.7]) and 2189 pregnancy episodes among men (median age, 33.5 years [IQR, 30.4-36.8 years]; median BMI, 25.0 [IQR, 23.0-27.5]). Higher BMI in women and men was associated with lower fecundability: for every unit increase in BMI, fecundability decreased (fecundability ratio [FR]: women, 0.98 [95% CI, 0.97-0.99]; men, 0.99 [95% CI, 0.98-1.00]). Women with overweight (FR, 0.88 [95% CI, 0.80-0.98]) and obesity (FR, 0.72 [95% CI, 0.63-0.82]) had lower fecundability compared with women with normal weight. Compared with normal weight in women, underweight (odds ratio [OR], 1.88 [95% CI, 1.22-2.88]), overweight (OR, 1.35 [95% CI, 1.11-1.63]), and obesity (OR, 1.67 [95% CI, 1.30-2.13]) were associated with increased odds of subfertility. In men, obesity was associated with increased odds of subfertility (OR, 1.69 [95% CI, 1.24-2.31]). Compared with normal weight in women, overweight (OR, 1.49 [95% CI, 1.12-1.98]) and obesity (OR, 1.44 [95% CI, 1.00-2.08]) were associated with increased odds of miscarriage. In this cohort study, BMI outside of the normal category in women and men during the preconception or early-pregnancy periods was associated with time to pregnancy and miscarriage. Optimizing BMI in women and men from the preconception period onward might be an important strategy to improve fertility outcomes.

Optimal Positioning of Load-Distributing Band CPR Device by Body Mass Index.

Background: Research investigating the optimal compression position for load-distributing bands (LDBs) in treating cardiac arrest is limited This study aimed to determine the optimal LDB position based on body mass index (BMI). Methods: A simulation study was conducted using chest and abdominal computed tomography imaging data collected with patients in the arms-down position. Participants were categorized into three BMI groups: low (<18.5 kg/m2), normal (18.5-25 kg/m2), and high (≥25 kg/m2). The assumed compression area was 20 cm below the axilla. The optimal compression position was identified by adjusting the axilla to maximize the thorax-to-abdomen volume ratio (TAR) and the covered heart volume ratio (CHR), defined as the ratio of heart volume compressed by the LDB to total heart volume. Optimal compression positions were compared across BMI groups. Results: Among 117 patients, TAR was significantly lower in the low BMI group compared to the normal and high BMI groups (p < 0.001), while CHR differences were not significant (p = 0.011). The distance between the optimal position and axilla height was significantly greater in the normal and high BMI groups than in the low BMI group (46.5 cm vs. 66.0 cm vs. 72 cm, respectively; p < 0.001). For each unit increase in BMI, the optimal position shifted significantly cephalad relative to axilla height (β coefficient 2.39, adjusted p < 0.001). Conclusions: Significant differences in TAR were observed among BMI groups. As BMI increased, the optimal LDB position shifted progressively cephalad.

Biological sex and BMI influence the longitudinal evolution of adolescent and young adult MRI-visible perivascular spaces.

An association recently emerged between magnetic resonance imaging (MRI)-visible perivascular spaces (MV-PVS) with intracerebral solute clearance and neuroinflammation, in adults. However, it is unknown how MV-PVS change throughout adolescence and what factors influence MV-PVS volume and morphology. This study assesses the temporal evolution of MV-PVS volume in adolescents and young adults, and secondarily evaluates the relationship between MV-PVS, age, sex, and body mass index (BMI). This analysis included a 783 participant cohort from the longitudinal multicenter National Consortium on Alcohol and Neurodevelopment in Adolescence study that involved up to 6 imaging visits spanning 5 years. Healthy adolescents aged 12-21 years at study entry with at least two MRI scans were included. The primary outcome was mean MV-PVS volume (mm 3 /white matter cm 3 ). On average, males had greater MV-PVS volume at all ages compared to females. A linear mixed-effect model for MV-PVS volume was performed. Mean BMI and increases in a person's BMI were associated with increases in MV-PVS volume over time. In females only, changes in BMI correlated with MV-PVS volume. One unit increase in BMI above a person's average BMI was associated with a 0.021 mm 3 /cm 3 increase in MV-PVS volume (p<0.001). This longitudinal study showed sex differences in MV-PVS features during adolescence and young adulthood. Importantly, we report that increases in BMI from a person's mean BMI are associated with increases in MV-PVS volume in females only. These findings suggest a potential link between MV-PVS, sex, and BMI that warrants future study.

The impact of bleeding on outcomes following lung transplantation: a retrospective analysis using the universal definition of perioperative bleeding

BackgroundLung transplantation (LT) represents a high-risk procedure for end-stage lung diseases. This study describes the outcomes of patients undergoing LT that require massive transfusions as defined by the universal definition of perioperative bleeding (UDPB).MethodsAdult patients who underwent bilateral LT at a single academic center were surveyed retrospectively. Patients were grouped by insignificant, mild, or moderate perioperative bleeding (insignificant-to-moderate bleeders) and severe or massive perioperative bleeding (severe-to-massive bleeders) based on the UDPB classification. Outcomes included 1-year survival and primary graft dysfunction (PGD) of grade 3 at 72 h postoperatively. Multivariable models were adjusted for recipient age, sex, body mass index (BMI), Lung allocation score (LAS), preoperative hemoglobin (Hb), preoperative extracorporeal membrane oxygenation (ECMO) status, transplant number, and donor status. An additional multivariable model was created to find preoperative and intraoperative predictors of severe-to-massive bleeding. A p-value less than 0.05 was selected for significance.ResultsA total of 528 patients were included, with 357 insignificant-to-moderate bleeders and 171 severe-to-massive bleeders. Postoperatively, severe-to-massive bleeders had higher rates of PGD grade 3 at 72 h, longer hospital stays, higher mortality rates at 30 days and one year, and were less likely to achieve textbook outcomes for LT. They also required postoperative ECMO, reintubation for over 48 h, tracheostomy, reintervention, and dialysis at higher rates. In the multivariate analysis, severe-to-massive bleeding was significantly associated with adverse outcomes after adjusting for recipient and donor factors, with an odds ratio of 7.73 (95% CI: 4.27–14.4, p < 0.001) for PGD3 at 72 h, 4.30 (95% CI: 2.30–8.12, p < 0.001) for 1-year mortality, and 1.75 (95% CI: 1.52–2.01, p < 0.001) for longer hospital stays. Additionally, severe-to-massive bleeders were less likely to achieve textbook outcomes, with an odds ratio of 0.07 (95% CI: 0.02–0.16, p < 0.001). Preoperative and intraoperative predictors of severe/massive bleeding were identified, with White patients having lower odds compared to Black patients (OR: 041, 95% CI: 0.22–0.80, p = 0.008). Each 1-unit increase in BMI decreased the odds of bleeding (OR: 0.89, 95% CI: 0.83–0.95, p < 0.001), while each 1-unit increase in MPAP increased the odds of bleeding (OR: 1.04, 95% CI: 1.02–1.06, p < 0.001). First-time transplant recipients had lower risk (OR: 0.16, 95% CI: 0.06–0.36, p < 0.001), whereas those with DCD donors had a higher risk of severe-to-massive bleeding (OR: 3.09, 95% CI: 1.63–5.87, p = 0.001).ConclusionThese results suggest that patients at high risk of massive bleeding require higher utilization of hospital resources. Understanding their outcomes is important, as it may inform future decisions to transplant comparable patients.

Prevalence of Hypertension, Its Risk Factors and 10-year Cardiovascular Disease Risk among Bank Employees in Lagos State, Nigeria.

Hypertension is a significant global public health concern, with unique risk factors affecting those in the banking sector due to their work environment. This study aimed to determine the prevalence of hypertension among bank employees and identify specific contributing risk factors. A cross-sectional survey of 250 bank employees used pretested structured questionnaires. Various measurements, including body mass index (BMI), blood pressure, lipid profile parameters and cardiovascular events, were recorded. Data were analysed using SPSS software. Categorical variables are presented as frequencies and percentages. Binary logistic regression was employed to identify independent predictors of hypertension (P < 0.05). The study participants had a mean age of 37.56 ± 8.98, with 54.5% being female. The majority (98.8%) had tertiary education, and 94.7% resided in urban areas. The prevalence of hypertension was 33.3%. Higher BMI is significantly associated with increased odds of hypertension. For each unit increase in BMI, the odds of having hypertension are approximately 1.98 times higher. Hypertension was also significantly more prevalent in those participants with prior hypertension diagnosis, those with a family history of hypertension, smokers and those who added salt to their food on the table (P < 0.05). The alarmingly high prevalence of hypertension underscores the need for targeted intervention and health promotion initiatives. With recognised risk factors, emphasis must be placed on the importance of lifestyle modifications and workplace wellness programmes to mitigate the burden of hypertension.

Symptom subtype progression in obstructive sleep apnea over 5 years.

There is limited knowledge regarding the progression or consistency of symptoms in OSA over time. Our objective was to examine the changes in symptom subtypes and identify predictors over a span of 5 years. Data of 2,643 participants of the Sleep Heart Health Study with complete baseline and 5-year follow-up visits were analyzed. Latent Class Analysis on 14 symptoms at baseline and follow-up determined symptom subtypes. Individuals without OSA (AHI<5) were incorporated as a known class at each time point. Multinomial logistic regression assessed the effect of age, sex, body mass index (BMI) and AHI on specific class transitions. The sample consisted of 1,408 women (53.8%) and mean (SD) age 62.4 (10.5) years. We identified four OSA symptom subtypes at both baseline and follow-up visits: minimally symptomatic, disturbed sleep, moderately sleepy, and excessively sleepy. Nearly half (44.2%) of the sample transitioned to a different subtype; transitions to moderately sleepy were the most common (77% of all transitions). A five-year older age was associated with a 50% increase in odds to transit from excessively sleepy to moderately sleepy [OR (95% CI: 1.52 (1.17, 1.97)]. Women had 1.97 times higher odds (95% CI: 1.21, 3.18) to transition from moderately sleepy to minimal symptoms. A 5-unit increase in BMI was associated with 2.39 greater odds (95% CI: 1.30, 4.40) to transition from minimal symptoms to excessively sleepy. Changes in AHI did not significantly predict any transitions. The symptoms of OSA may fluctuate or remain stable over time. Knowledge of symptom progression in OSA may support clinicians with treatment decisions.

Optimal body mass index for protecting middle-aged and elderly patients with fatty liver from future fractures.

Previous studies have suggested that body mass index (BMI) should be considered when assessing the relationship between fatty liver (FL) and osteoporosis. The aim of this study was to investigate future fracture events in people with FL, focusing on the effect of BMI in both sexes. This retrospective cohort study from 2011 to 2019 enrolled 941 people, including 441 women and 500 men, aged 50 years or older who underwent liver imaging (ultrasound, computed tomography, or magnetic resonance image) and dual-energy X-ray absorptiometry (DXA, for bone mineral density measurements). The study examined predictors of osteoporosis in both sexes, and the effect of different ranges of BMI (18.5-24, 24-27, and ≥27 kg/m2 in women; 18.5-24, 24-27, 27-30 and ≥30 kg/m2 in men) on the risk of future fractures in FL patients. The average follow-up period was 5.3 years for women and 4.2 years for men. Multivariate analysis identified age and BMI as independent risk factors for osteoporosis in both sexes. Each unit increase in BMI decreased the risk of osteoporosis by ≥10%. In both women and men with FL, a BMI of 24-27 kg/m2 offered protection against future fractures, compared to those without FL and with a BMI of 18.5-24 kg/m2. The protective effect of a higher BMI against future fractures in middle-aged and elderly women and men with FL is not uniform and decreases beyond certain BMI ranges.

Predicting Conversion to Insulin Sensitivity With Metformin: A Promising Tool for Clinicians in Addressing Insulin Resistance and Improving Outcomes in Patients With Treatment Resistant Bipolar Depression.

Insulin resistance (IR) changes the trajectory of responsive bipolar disorder to a treatment-resistant course. A clinical trial conducted by our group demonstrated that IR reversal by metformin improved clinical and functional outcomes in treatment-resistant bipolar depression (TRBD). To aid clinicians identify which metformin-treated TRBD patients might reverse IR, and given strong external evidence for their association with IR, we developed a predictive tool using body mass index (BMI) and homeostatic model assessment-insulin resistance (HOMA-IR). The predictive performance of baseline BMI and HOMA-IR was tested with a logistic regression model using known metrics: area under the receiver operating curve, sensitivity, and specificity. In view of the high benefit to low risk of metformin in reversing IR, high sensitivity was favored over specificity. In this BMI and HOMA-IR model for IR reversal, the area under the receiver operating curve is 0.79. At a cutoff probability of conversion of 0.17, the model's sensitivity is 91% (95% confidence interval [CI], 57%-99%), and the specificity is 56% (95% CI, 36%-73%). For each unit increase in BMI or HOMA-IR, there is a 15% (OR, 0.85; 95% CI, 0.71-0.99) or 43% (OR, 0.57; CI, 0.18-1.36) decrease in the odds of conversion, respectively. In individuals with TRBD, this tool using BMI and HOMA-IR predicts IR reversal with metformin with high sensitivity. Furthermore, these data suggest early intervention with metformin at lower BMI, and HOMA-IR would likely reverse IR in TRBD.

%BF, Rather Than BMI, is Associated with an Increased Risk of Sarcopenia in Hospitalized Postmenopausal Chinese Women with Type 2 Diabetes Mellitus.

To investigate the relationship between obesity indices and sarcopenia in postmenopausal patients with type 2 diabetes mellitus (T2DM) at different body mass index (BMI) levels. This retrospective cross-sectional study included 298hospitalized postmenopausal women diagnosed with T2DM. We collected demographic, biochemical, and anthropometric data on each subject. Body composition was measured using dual-energy X-ray absorptiometry (DXA), and skeletal muscle mass index (SMI) and body fat percentage (%BF) were calculated. According to BMI stratification, the patients were divided into normal group A (18.5 kg/m2≤BMI < 24 kg/m2), overweight group B (24.0 kg/m2≤BMI < 28 kg/m2), and obesity group C (28.0 kg/m2 ≤BMI < 35 kg/m2). From group A to group C, SMI (5.21±0.56 vs 5.48±0.56 vs 6.03±0.69) increased gradually (P < 0.05). Logistic regression analysis indicated that for each 1-unit increase in BMI, the risk of sarcopenia decreased by 63.2% (OR=0.368, 95% CI 0.215-0.629, P=0.000) in group A. Age (OR=1.077, 95% CI 1.015-1.144, P=0.015) and %BF (OR=1.094, 95% CI 1.010-1.186, P=0.028) increased the risk of sarcopenia by 1.077 and 1.094 times, respectively, in group B. While every 1-unit increase in BMI, the risk of sarcopenia decreased by 35% (OR=0.650, 95% CI 0.430-0.983, P=0.041) in group B. %BF (OR=1.459, 95% CI 1.093-1.949, P=0.010) increased the risk factors of sarcopenia by 1.459 times in group C. In postmenopausal patients with T2DM, BMI had a protective effect on the occurrence of sarcopenia within a certain range, and with the increase of BMI, the risk of sarcopenia was increasing by increased %BF levels in overweight and obese patients.

Is weight-adjusted waist index more strongly associated with diabetes than body mass index and waist circumference?: Results from the database large community sample study.

The uncertainty regarding the correlation between the weight-adjusted waist index (WWI) and diabetes within the National Health and Nutrition Examination Survey (NHANES) necessitates further exploration. As indicators of obesity, the differences in the intensity of association between WWI, body mass index (BMI), and waist circumference (WC) with diabetes are worth exploring. This investigation is undertaken to elucidate the association between WWI and diabetes in the NHANES dataset and to compare the extent to which BMI, WC, and WWI were closely associated with diabetes. Then, choose an obesity index that is more strongly associated with diabetes. A comprehensive cross-sectional stratified survey of 7,973 participants from the 2017-2020 NHANES was conducted. WWI is an anthropometric measure based on WC and weight. The formula is WWI (cm/√kg) = WC/√weight. The association between WWI and diabetes was investigated using weighted multiple logistic regression, smooth curve fitting, stratified analysis, and interaction testing. The participants' average age was 50.84±17.34 years, and 50.68% of them were female. The detection rate of diabetes was 15.11%. This positive association was particularly notable among non-diabetic patients. For each unit increase in BMI and WC as continuous variables, the likelihood of developing diabetes in the fully adjusted model increased by 5% (OR = 1.05; 95%CI, 1.03-1.07) and 3% (OR = 1.03; 95%CI, 1.02-1.04), respectively, but for each one-unit increase in WWI, the likelihood of developing diabetes increased by 111% (OR = 2.11; 95% CI, 1.68-2.65). Tests of interactions revealed that in various subgroups, the association between diabetes and WWI remained steady. We analyzed 2017-2020 NHANES data to explore the link between WWI and diabetes, finding a consistent positive correlation. The correlation between WWI and diabetes was stronger than that between WC and BMI. WWI seems to offer better potential aid in disease prevention and diagnosis.

Testosterone Deficiency in Hypertensive Men: Prevalence and Associated Factors.

Testosterone deficiency (TD) is a prevalent condition in our midst and still very neglected. Arterial hypertension (AH) is one of the possible associated factors. To determine the prevalence of TD in a hypertensive male population and the factors associated with its occurrence, such as age, time since hypertension diagnosis, number of antihypertensive classes, body mass index (BMI), diabetes, dyslipidemia, chronic kidney disease (CKD), positive symptoms of TD (positive ADAM questionnaire) and use of spironolactone. Cross-sectional study with administration of the ADAM questionnaire, assessment of biochemical, clinical, and anthropometric data. Patients were stratified into DT and normal testosterone groups. Categorical variables were compared using the chi-squared test and continuous variables using the Mann-Witney test; variables with significance (p<0,05) were analyzed by multivariable linear regression. The prevalence of TD was 26.36%. There was an association between TD and body mass index (BMI) (p=0.0007) but there was no association with age (p=0.0520), time of hypertension diagnosis (p=0.1418), number of classes of antihypertensive drugs (p=0.732), diabetes (p=0.1112); dyslipidemia (p=0.3888); CKD (p=0.3321); use of spironolactone (p=0.3546) or positive ADAM questionnaire (p=0.2483). TD was highly prevalent and positively associated with BMI. Total testosterone (TT) declined by 8.44ng/dL with a one unit increase in BMI and dropped by 3.79ng/dL with a one-year increase in age.

Deficiência de Testosterona em Homens Hipertensos: Prevalência e Fatores Associados

Abstract Background: Testosterone deficiency (TD) is a prevalent condition in our midst and still very neglected. Arterial hypertension (AH) is one of the possible associated factors. Objectives: To determine the prevalence of TD in a hypertensive male population and the factors associated with its occurrence, such as age, time since hypertension diagnosis, number of antihypertensive classes, body mass index (BMI), diabetes, dyslipidemia, chronic kidney disease (CKD), positive symptoms of TD (positive ADAM questionnaire) and use of spironolactone. Methods: Cross-sectional study with administration of the ADAM questionnaire, assessment of biochemical, clinical, and anthropometric data. Patients were stratified into DT and normal testosterone groups. Categorical variables were compared using the chi-squared test and continuous variables using the Mann-Witney test; variables with significance (p&lt;0,05) were analyzed by multivariable linear regression. Results: The prevalence of TD was 26.36%. There was an association between TD and body mass index (BMI) (p=0.0007) but there was no association with age (p=0.0520), time of hypertension diagnosis (p=0.1418), number of classes of antihypertensive drugs (p=0.732), diabetes (p=0.1112); dyslipidemia (p=0.3888); CKD (p=0.3321); use of spironolactone (p=0.3546) or positive ADAM questionnaire (p=0.2483). Conclusions: TD was highly prevalent and positively associated with BMI. Total testosterone (TT) declined by 8.44ng/dL with a one unit increase in BMI and dropped by 3.79ng/dL with a one-year increase in age.

Association between Obesity and Heart Failure and Related Atrial Fibrillation: Patient-Level Data Comparisons of Two Cohort Studies.

Heart failure (HF) and atrial fibrillation (AF) frequently coexist, with over 50% patients with HF having AF, while one-third of those with AF develop HF. Differences in obesity-mediated association between HF and HF-related AF among Asians and Europeans were evaluated. Using the Korean National Health Insurance Service-Health Screening (K-NHIS-HealS) cohort and the UK Biobank, we included 394801 Korean and 476883 UK adults, respectively aged 40-70 years. The incidence and risk of HF were evaluated based on body mass index (BMI). The proportion of obese individuals was significantly higher in the UK Biobank cohort than in the K-NHIS-HealS cohort (24.2% vs. 2.7%, p<0.001). The incidence of HF and HF-related AF was higher among the obese in the UK than in Korea. The risk of HF was higher among the British than in Koreans, with adjusted hazard ratios of 1.82 [95% confidence interval (CI), 1.30-2.55] in K-NHIS-HealS and 2.00 (95% CI, 1.69-2.37) in UK Biobank in obese participants (p for interaction <0.001). A 5-unit increase in BMI was associated with a 44% greater risk of HF-related AF in the UK Biobank cohort (p<0.001) but not in the K-NHIS-HealS cohort (p=0.277). Obesity was associated with an increased risk of HF and HF-related AF in both Korean and UK populations. The higher incidence in the UK population was likely due to the higher proportion of obese individuals.

D&C has the best concordance between preoperative and postoperative grades among morbidly obese endometrial cancer patients.

Endometrial cancer is diagnosed by obtaining uterine biopsies by pipelle, dilatation and curettage (D&C), or hysteroscopy. In 15%-25% of the cases, the preoperative and postoperative grades do not match. This discrepancy may carry significant clinical and prognostic consequences. We aimed to assess how body mass index (BMI) affects preoperative and postoperative grade mismatches and whether biopsy methods mitigate this effect. We conducted a retrospective review of patients with endometrial cancer who underwent surgery at our center between 2014 and 2022. We stratified patients into six classes of BMI based on the WHO classification. Preoperative and postoperative grades were compared for concordance with regards to patient BMI and sampling method. A total of 158 patients were included, diagnosed by pipelle (n = 99), hysteroscopy (n = 15), or D&C (n = 44). For all methods, every unit increase in BMI increased the odds of having a gap between histology grades by 5.2%. In the pipelle group, the odds of a larger gap between the histology grades was 62% higher than that of women in the other groups. Among the D&C group, the odds of having a bigger difference between histology grades were 91.8% lower compared to the other groups. Patients with BMI over 30 had nearly 50% discrepancy when diagnosed with pipelle or hysteroscopy, but less than 10% with D&C. Increasing BMI is associated with decreasing concordance between preoperative and postoperative grades in endometrial cancer, especially when it exceeds 30. This effect is much less pronounced, however, when the diagnostic method is D&C.

Abstract 17675: Association Between Obesity and Heart Failure and Related Atrial Fibrillation: Patient-Level Data Comparisons of Two Cohort Studies

Introduction: Differences in obesity-mediated association between heart failure (HF) and HF-related atrial fibrillation (AF) among Asians and Europeans was evaluated. Methods: Using the Korean National Health Insurance Service-Health Screening (K-NHIS-HealS) cohort and U.K. Biobank, we included 395,173 Korean and 477,214 UK adults aged 40-70 without previous HF who received check-ups. The incidence and risk of HF was evaluated in relation to different body mass index (BMI). Results: The proportion of obese individuals was significantly higher in the UK Biobank (24.2%) compared to the K-NHIS-HealS cohort (2.7%, P&lt;0.001). During the follow-up period of 7.3 and 11.7 years, 684 and 3,183 subjects in the K-NHIS-HealS cohort and UK Biobank, respectively, developed HF. The incidence of HF and HF-related AF was higher in the UK than in Korea across all BMI categories, even after age and sex adjustment. For obese individuals, the age- and sex-adjusted incidences of HF were 0.50 and 1.16 in Korea and the UK, respectively. The risk of HF was notably higher in the British population compared to Koreans, with adjusted hazard ratios of 1.81 (95% CI, 1.30-2.53) and 2.20 (95% CI, 1.98-2.45) in obese participants (P for interaction&lt;0.001). After adjusting for clinical variables, a 5-unit increase in BMI was associated with a 52% greater risk of HF-related AF in the UK Biobank cohort (P&lt;0.001), but not in the Korean NHIS-HealS cohort (P=0.275). Conclusions: Obesity was associated with increased risk of HF and HF-related AF in both populations. The higher incidence in the UK population was likely because of the higher proportion of obese individuals.

Factors influencing the willingness to participate in rehabilitation in patients with subacute stroke

ObjectiveThe aim of this study was to examine the parameters that may influence the willingness of patients to participate in post-stroke rehabilitation. MethodsPatients in the subacute phase of stroke who underwent inpatient rehabilitation for one month were included in this study. The primary outcome measure was the level of rehabilitation participation as measured on the Pittsburgh Rehabilitation Participation Scale (PRPS). Other outcome measures evaluated were Mini-Mental State Examination (MMSE) for cognitive functions, Brunnstrom stage for motor recovery, modified Rankin Scale (mRS) for disability, Functional Independence Measure for functionality, Pittsburgh Sleep Quality Index for sleep quality, and Beck Depression Inventory for emotional state. ResultsA total of 38 patients with first-time stroke were studied. A negative correlation was found between the participation in rehabilitation and body mass index (BMI) (r: −0.398p = 0.012), myocardial infarction (MI) history (r: −0.387p = 0.015) and mRS (r: −0.351p = 0.031), while a positive correlation was determined with MMSE (r: 0.432P = 0.007). A 1-unit increase in BMI, MI history, and mRS resulted in a 0.176, 0.673, and 0.294-unit decrease in participation in rehabilitation, respectively. In addition, a 1-unit increase in MMSE provided an increase of 0.606-unit in participation. ConclusionBMI within normal limits, prevention/treatment of cardiovascular diseases, and well-being of physical and cognitive functions might be the factors that positively influence participation in rehabilitation process. We consider that it would be appropriate to evaluate these parameters with particular emphasis in stroke patients in the subacute period to be rehabilitated.

Implant-Based Breast Reconstruction: Impact of Body Mass Index on Postoperative Complications and Aesthetic Results: A 5-Year, Single-Center Study.

Increasing adoption of implant-based breast reconstruction (IBR) has raised expectations regarding postoperative outcomes and aesthetic results. BMI has been extensively explored as a predictor of complications. This study is the first to examine complication rates in underweight subjects, and compares these rates among underweight, normal weight, overweight, and obese patients. The aim of this study was to investigate the influence of BMI on postoperative complications and aesthetic results in IBR following mastectomy. Retrospective analysis encompassed patients undergoing mastectomy with subsequent IBR, performed by a collaborative team of breast and plastic surgeons. Demographics, treatment specifics, and outcomes were evaluated by univariate and multivariate regression models. Significance was determined at P < .05. In total, 1046 IBRs were performed in 921 patients, of whom 63 had a BMI <18.5 kg/m2, 572 were normal weight, 215 were overweight, and 71 were obese. Significantly higher complication rates were observed in both obese and overweight patients compared with normal-weight patients (P < .001). Each unit increase in BMI correlated to 7% increased odds of overall complications and 13% increased odds of reconstructive failure. Underweight individuals had higher capsular contracture rates than normal-weight patients, 14.3% vs 3.65%, respectively (P = .001). In addition, aesthetic complications rates in underweight patients were higher than in normal-weight patients, 36.4% vs 25.7%, respectively (P < .05). This study confirmed BMI to be a strong predictor of postoperative complications and aesthetic outcomes, and demonstrates that low BMI has a significant impact on the incidence of capsular contracture and aesthetic complications.

Association between the body mass index of women undergoing IVF and the gender of the offspring

Research questionIs there an association between women's body mass index (BMI) and the gender of offspring generated from fresh or frozen-thawed embryo transfer (FET) cycles? DesignBetween 2018 and 2021, 2670 cycles were performed, comprising 786 fresh embryo transfers and 1884 FET cycles. The study analysed the relationship between the BMI of women undergoing IVF and the sex of the newborn and the male-to-female live birth ratio (secondary sex ratio [SSR]). ResultsAfter 2670 single-embryo transfers, 483 (50.31%) male and 477 (49.69%) female infants were born, with an SSR of 101.3. In the fresh embryo transfer group, the SSR ranged from 350 (95% CI 82.67–1481.65) in underweight women (although this was based on very small numbers) to 109.7 (95% CI 67.73–176.61) in overweight women, while in the FET group, SSR values varied correspondingly from 130.8 (95% CI 64.47–265.26) to 63.0 (95% CI 46.02–86.24). Results from Bayesian multinomial logistic regression showed that for each unit increase in BMI within the fresh embryo transfer group, the odds of a boy's birth decreased by 6% (odds ratio [OR] 0.94, 95% CI 0.90–0.99) and the odds of a girl's birth by 5% (OR 0.95, 95% CI 0.90–0.99). Within the FET cohort, the odds of a boy's birth decreased by 4% (OR 0.96, 95% CI 0.92–0.99), while the odds of a girl's birth increased by 3% (OR 1.03, 95% CI 1.00–1.06). ConclusionsAn increase in BMI is associated with the birth of fewer boys in fresh or frozen embryo transfer cycles, and a significant increase in the birth of girls in FET cycles.

Association of body mass index with early age at diagnosis of endometrial intraepithelial neoplasia

ObjectiveElevated body mass index (BMI) is a risk factor for endometrioid endometrial cancer and its precursor, endometrial intraepithelial neoplasia (EIN). Our objective was to describe the association between BMI and age at EIN diagnosis. MethodsWe conducted a retrospective study of patients diagnosed with EIN from 2010 to 2020 at a large academic medical center. Patient characteristics were stratified by menopausal status and compared using a chi-square or t-test. We used linear regression to determine the parameter estimate (β) and 95% confidence interval for the association between BMI and age at diagnosis. ResultsWe identified 513 patients with EIN; 503 (98%) had complete medical records. Premenopausal patients were more likely to be nulliparous and to have polycystic ovary syndrome than postmenopausal patients (both p ≤ 0.001). Postmenopausal patients were more likely to have hypertension, type 2 diabetes, and hyperlipidemia (all p ≤ 0.02). There was a significant linear association between BMI and age at diagnosis in premenopausal patients (β = −0.19 (95% CI: −0.27, −0.10). In premenopausal patients, for every 1-unit increase in BMI, age at diagnosis decreased by 0.19 years. No association was observed in postmenopausal patients. ConclusionsIn a large cohort of patients with EIN, increasing BMI was associated with an earlier age at diagnosis in premenopausal patients. This data suggests consideration of endometrial sampling in younger patients with known risk factors for excess estrogen exposure.