BACKGROUND: The relationship between diet and the management of chronic illnesses is well established. However, it is unknown the extent to which people with chronic illnesses pay attention to nutritional information and act upon the information obtained. We evaluated the menu ordering practices of adults with chronic illnesses.
METHODS: We analyzed the 2018 Health Information National Trends Survey (HINTS 5 Cycle 2). Our analytic cohort included 3,154 respondents (weighted population size=228,464,822) who answered questions regarding a personal history of diabetes, hypertension, heart disease, and obesity. They also answered questions about their nutritional habits regarding whether they noticed caloric information at fast-food or sit-down restaurants and how that information influenced their dietary choices.
RESULTS: Among respondents with these chronic illnesses, only obese patients were significantly more likely to pay attention to caloric information (OR=1.56; 95%CI: 1.06-2.31). However, noticing the calorie information was not associated with ordering less calories among all categories of respondents with chronic illnesses.
CONCLUSIONS: US adults with chronic illnesses do not pay sufficient attention to the calorie information of their diet. Furthermore, awareness of the calorie information did not influence their dietary choices. Healthcare professionals should incorporate dietary counseling into the management of chronic illnesses of their patients.

Background and aims Being metabolically unhealthy (MU) is defined as having either hypertension, hyperlipidemia, type 2 diabetes mellitus/pre-diabetes, or fatty liver disease. We aimed to determine if MU was associated with severe COVID-19 pneumonia (severe disease). Methods We performed a single-center retrospective study between March 2020 and August 2021 for patients with overweight or obesity hospitalized with COVID-19 pneumonia. Logistic regression analysis was utilized to derive a risk score for severe disease. The accuracy of the model was assessed using the area under the receiver operating characteristic curve (AUROCC) and bootstrap resampling. Results A total of 334 of 450 patients hospitalized with COVID-19 pneumonia (74.2%) were MU. Patients who were MU had higher in-hospital mortality (10.5% vs. 2.6%) and longer length of hospitalization (median 6 vs. 4 days). MU was not associated with severe disease, p=0.311. On multivariable analysis, older age, male sex, and Asian race were associated with severe disease. Not being vaccinated was associated with doubled odds of severe disease. The AUROCC of the final model was 0.66 (95% CI: 0.60 to 0.71). The risk score at the lowest quintile had a 33.1% to 65.5% predicted risk and a 58.7% observed risk of severe disease, whereas, at the highest quintile, there was an 85.7% to 97.7% predicted risk and an 89.7% observed risk of severe disease. Conclusion Being MU was not a predictor of severe disease, even though mortality was higher despite having higher rates of vaccination. This risk score may help to predict severe disease in hospitalized patients with obesity or overweight. External validation is recommended.

Background Although frequent low-flow, low-volume haemodialysis using the NxStage System One is now well-established as an option for home therapy of end-stage chronic kidney disease, its ability to deliver adequate dialysis in people with high BMI remains questionable. This doubt may lead to obese individuals being denied the potential benefits of this modality. To establish if this doubt is justified, we compared dialysis adequacy in two groups of obese individuals; one receiving standard thrice-weekly in-centre haemodialysis and the other receiving frequent haemodialysis at home using the NxStage System One. Methods This is a retrospective observational cohort study of 105 adult dialysis patients with obesity (BMI ≥ 30 kg/m2). All had been on dialysis for at least six months. Fifty-five patients receiving in-centre haemodialysis were compared with 50 patients receiving home haemodialysis using NxStage System One. Dialysis adequacy (standard Kt/V calculated by the Daugirdas equation) was compared between the two groups. The clinical characteristics, laboratory test results, and treatment regimens of each group were also compared. Results The in-centre haemodialysis group was older (63.6 ± 12.8 years vs. 58.5 ± 10.9 years, p=0.033) and had a higher Charlson comorbidity score (5.9 ± 2.1 vs. 4.5 ± 2.5, p=0.003). Standard Kt/V was significantly higher in the home haemodialysis group (2.4 ± 0.5) than in the in-centre haemodialysis group (2.2 ± 0.2) (p = 0.006). The mean serum inorganic phosphate was significantly lower in the home haemodialysis group than in the in-centre haemodialysis group (1.6 ± 0.4 mmol/l vs. 1.8 ± 0.5 mmol/l, p = 0.010). There were no statistically significant differences in the usage of antihypertensives, phosphate binders, or erythropoiesis-stimulating agents between the two groups. Conclusions In this study, dialysis adequacy (expressed as standard Kt/V) was superior to that of standard thrice-weekly in-center haemodialysis delivered by frequent low-volume home haemodialysis using the NxStage System One. Hesitancy about recommending frequent low-volume home haemodialysis to obese individuals is therefore unjustified.

Hypertension is the leading risk factor for disability and death globally. This is attributed to two major complications of hypertension, cerebrovascular accidents (CVA) and ischemic heart disease. This update provides a concise overview of several timely hypertension topics. These topics were chosen based on recent significant advances in the field. Examples include the use of renin-angiotensin-aldosterone inhibitors in coronavirus disease 2019 (COVID-19) patients, the landmark Systolic Blood Pressure Intervention Trial (SPRINT), management of resistant hypertension, and primary aldosteronism. The articles reviewed also include other recent landmark clinical trials, prior clinical trials of great significance, and medical societies guidelines. Ten topics were chosen based on their relevance to the practicing clinician. Each topic is discussed in a condensed manner highlighting recent advances in the field of hypertension.

Background and objective The prevalence of heart failure (HF) is on the rise; currently, it affects around five million people in the United States (US) and the prevalence is expected to rise from 2.42% in 2012 to 2.97% in 2030. HF is a leading cause of hospitalizations and readmissions, accounting for a major economic burden to the US healthcare system. Obesity is a widely accepted risk factor of HF; however, data regarding its independent association with HF mortality and morbidity is heterogeneous. Globally, more than two-thirds of deaths attributable to high body mass index (BMI) are due to cardiovascular diseases (CVD). This study aimed to investigate the potential role of obesity (BMI >30 Kg/m2) in HF patients in terms of 30-day readmissions, in-hospital mortality, and the use of noninvasive positive pressure ventilation (NIPPV). Methods In this single-center, retrospective study, all adult (age: >18 years) patients who were hospitalized with a primary diagnosis of HF at the Abington Jefferson Hospital from January 2015 to January 2018 were included. Demographic characteristics were collected manually from electronic medical records. Outcomes were 30-day readmission due to HF, all-cause in-hospital mortality, and requirement for NIPPV. Multivariable logistic regression analysis was conducted to investigate the association of obesity with HF outcomes. Results A total of 1,000 patients were initially studied, of these 800 patients were included in the final analysis based on the inclusion criteria. Obese patients showed higher odds for 30-day readmissions and the use of NIPPV compared to non-obese patients. There was no significant difference in in-hospital mortality in obese vs. non-obese patients. Conclusions Based on our findings, BMI >30 Kg/m2 is an independent risk factor for HF readmissions. Additionally, our results highlight the importance of guidelines-directed medical therapy (GDMT) for HF exacerbation, a low threshold for use of NIPPV in obese patients, promotion of lifestyle modifications including weight loss, and early follow-up after discharge to prevent HF readmissions in the obese population.

Objectives To assess the differences in demographics and laparoscopic hysterectomy type by comorbid obesity and to assess the risk of in-hospital mortality due to obesity and other comorbidities. Methods We conducted a cross-sectional study using the Nationwide Inpatient Sample (NIS, 2012-2014), and included 119,890 adult females undergoing total laparoscopic hysterectomy (TLH), laparoscopic-assisted vaginal hysterectomy (LAVH), and laparoscopic supracervical hysterectomy (LSH). We used a logistic regression model adjusted for confounders to assess the odds ratio (OR) of obesity on mortality in study inpatients. Results The majority of the inpatients were middle-age 36-50 years (83.1%) and White (67.7%). Comorbidities were seen in a higher proportion of obesity cohort with most prevalent being hypertension (53.6%) and diabetes (23.9%), followed by depression and hypothyroidism (15.8% and 15.4%, respectively). Inpatients with comorbid obesity had 4.6 times (95% CI 2.79-7.69) higher odds for in-hospital mortality compared to non-obesity cohort. There was statistically no significant association between type of laparoscopic hysterectomy and in-hospital mortality. Conclusion Analysis of national-level data shows that obese patients have a higher risk of in-hospital mortality by 364% compared to non-obese patients. There was no significant association between the laparoscopy procedure type and in-hospital mortality. More studies should focus on improving hospital outcomes and quality of life post-surgery in obese patients.

OBJECTIVE: Obesity is a condition of increased adipose tissue in the body, which is commonly associated with various comorbidities like diabetes, hypertension, arthritis, back pain, and many others. Yoga modules have been designed and validated for obesity; however, we couldn\'t find any specific module for metabolic syndrome, a condition which includes obesity, diabetes mellitus type 2 and/or hypertension together. Keeping this in view, our study aimed to develop and validate a specific generic yoga-based intervention module for metabolic syndrome patients.
METHODS: A yoga module was designed based on traditional and contemporary yoga literature as well as published studies. We derived the yoga practices for the module, from these yoga texts and research evidence were already available. The yoga module was sent to 40 yoga experts for their validation.
RESULTS: Twenty-two experts gave their opinion on the usefulness of a yoga module for patients with metabolic syndrome with some suggestions. Of these experts, 73% were males, and 27% were females. Yoga therapy practices with content validity ratio (CVR) >0.08 were included in the final module. In total, 86% (31 of 36 items) of the items in the initial module were retained.
CONCLUSIONS: A specific yoga-based module for metabolic syndrome was designed and validated by experts. Further studies are needed to confirm the efficacy and clinical utility of the module.Additional clinical validation is suggested.

Stress urinary incontinence (SUI) is a common problem among women; clinical treatment guidelines include weight reduction as a strategy for controlling urinary leakage. The purpose of this review was to gather evidence on the association between obesity and SUI and to ascertain whether there are any special considerations for implementing medical nutrition therapy with community-dwelling, obese, adult females with comorbid SUI. Five key findings emerged: epidemiologic studies consistently report statistically significant associations between obesity and SUI, randomized control trials found that weight loss appears to ameliorate SUI symptoms, the SUI-activity link may affect weight management, there is a potential interplay between SUI and the obesity-sleep connection, and dietary components are associated with the exacerbation of urinary symptoms. The pathogenesis of SUI and obesity-related contributions to urinary leakage is included in the introductory discussion. Lastly, insights on special considerations for implementing nutrition interventions with this population are offered.