Risk Of Syndrome Research Articles

Combined lifestyle factors and metabolic syndrome risk: a systematic review and meta-analysis.

The metabolic syndrome is a complex condition influenced by many factors including lifestyle. Recently, more and more studies explored the relationships between combined lifestyle factors (often measured as lifestyle scores/indices) and metabolic syndrome due to the co-occurrence of these factors. These scores/indices considered potential interactions among lifestyle factors, offering a more comprehensive understanding of their relationship with metabolic syndrome. However, no review/meta-analysis has been conducted to summarize existing evidence. Thus, this study aimed to synthesize the associations between lifestyle scores/indices and metabolic syndrome in cross-sectional and cohort studies. A literature search was performed in Embase and Medline. Multivariable-adjusted estimates were synthesized using random-effects models. In research where higher scores indicated better health, we used original estimates directly. In studies where higher scores denoted poorer health, we first calculated the coefficients and standard errors based on original estimates. Afterward, we reversed coefficients' directions and recalculated new estimates. Thus, the pooled estimates compared the healthiest with the least-healthy lifestyles (the highest vs. lowest scores/indices). Subgroup analyses were conducted based on study design, region, baseline time, baseline age, sex, health status, metabolic syndrome diagnosis, and lifestyles' number. Sensitivity analyses were performed by including only high-quality studies and employing leave-one-out analyses. Nineteen studies from 16 publications were included. Physical activity, diet, and smoking were the top three included lifestyle factors. Compared to participants with the least-healthy lifestyles, those with the healthiest lifestyles had a 43% lower metabolic syndrome risk (95% confidence interval = 0.41-0.73). In subgroup analyses, healthy lifestyle scores/indices were inversely associated with both metabolic syndrome prevalence in cross-sectional studies (Odds ratio = 0.62; 95% confidence interval = 0.51-0.73) and metabolic syndrome incidence in cohort studies (Odds ratio = 0.40; 95% confidence interval = 0.11-0.68). The inverse association was consistent in other subgroup and sensitivity analyses. Adherence to a healthy lifestyle pattern was beneficial to metabolic syndrome prevention.

Association between glycated hemoglobin and the risk of neonatal respiratory distress syndrome in preterm premature rupture of membranes pregnancies

The association between early glycated hemoglobin (HbA1c) and the risk of neonatal respiratory distress syndrome (NRDS) with preterm premature rupture of membranes (PPROM) population remains largely unknown. The impact of diabetes mellitus (DM) on NRDS is also controversial. HbA1c was assessed in early and late pregnancy. Multivariate logistic regression and restricted cubic spline (RCS) analyses were performed to evaluate the association between the HbA1c and the incidence of NRDS in non-DM group. Propensity score matching (PSM) was performed to balance baseline characteristics between DM group and non-DM group. Among 536 patients with the mean age was 30.7 ± 5.1 years, 117 (21.8%) had DM. The RCS revealed that a linear relationship was found between HbA1c and the incidence of NRDS in non-DM group, with a threshold of approximately 5% (31 mmol/mol). The effect size and CI below and above the threshold value were 1.70 (1.24–2.31) and 1.26 (0.81–1.96), respectively. The ΔHbA1c (late HbA1c minus early HbA1c) was independently associated with incidence of NRDS in DM group. Before and after PSM, no significant association was not observed between DM and the incidence of NRDS. Our findings indicated that higher early HbA1c levels were associated with a risk of NRDS in women without diabetes. Women with diabetes who experience an increase in HbA1c level during pregnancy may be more likely to give birth to infants affected by NRDS.

Effect of resting heart rate on the risk of metabolic syndrome in adults: a dose-response meta-analysis.

Given the notable rise in the prevalence of metabolic syndrome (MS) in China, it is urgent to identify early screening indicators. Extensive dose-response meta-analyses have been conducted to investigate the association between resting heart rate (RHR) and MS, and additional relevant studies have been updated in the last five years. Therefore, this paper aims to update the results of previous meta-analyses. PubMed, Cochrane Library, Web of Science, and Embase databases were searched from the inception to 25th May 2023. Additional relevant references were manually screened. Quality assessment was performed independently by authors using the Newcastle-Ottawa Scale. Stata 15.0 software was applied for data analysis. A random-effects model was adopted to pool the effect size of hazard ratio (HR) and 95% confidence interval (CI). A restricted cubic spline function was utilized to assess dose-response relationships. The protocol was prospectively registered in PROSPERO (number CRD42023458979). 35 studies from 21 reports were included, with 433,365 adults and 84,354 events of MS and/or diabetes mellitus. The highest RHR tertile was positively associated with the risk of MS [HR = 1.80, 95% CI (1.60, 2.04)]. Dose-response analysis suggested a non-linear correlation between RHR and MS, with a 3.5% increase in risk per unit increase in RHR, at a RHR of 42.5. Both high RHR and its increasing rate are significantly associated with the risk of MS. Therefore, RHR might be a non-invasive and convenient community-based screening tool for the management and monitoring of MS.

Sex-Specific Impact of Serum Calcium Levels on Acute Coronary Syndrome Risk: A 19-Year Cohort Study in Korea.

Background: This study aims to investigate the association between serum calcium levels and acute coronary syndrome (ACS) risk, examining whether this relationship differs by sex, given the known differences in calcium metabolism and hormonal influences between males and females. Methods: Utilizing the Korean Genome Epidemiology Study (KoGES) prospective cohort data, our primary exposure variables were serum calcium level and sex. The incidence of ACS served as the main outcome of interest. Hazard ratios (HRs) and 95% confidence intervals (CIs) were estimated using Cox regression analysis. An interaction analysis was conducted to assess the interaction effect of calcium level and sex on ACS incidence. Results: After adjusting for confounding variables, high calcium intake did not significantly increase ACS incidence, with a hazard ratio (HR) of 1.07 (95% CI: 0.90-1.26). There was also no significant difference in ACS risk between females and males (HR: 0.81, 95% CI: 0.61-1.04). However, interaction effect analysis revealed that higher calcium levels were associated with an increased risk of ACS only in females (HR: 1.24, 95% CI: 1.07-1.58), whereas the association in males was not statistically significant (HR: 0.90, 95% CI: 0.71-1.15). Conclusion: Our study results indicate that elevated serum calcium levels alone did not independently increase the risk of ACS; however, high serum calcium levels were associated with an increased risk of ACS in females but not in males, underscoring the importance of sex-specific factors in assessing and managing ACS risk and highlighting the necessity for personalized medical approaches to improve cardiovascular health outcomes for women.

Impact of sleep duration and dietary patterns on risk of metabolic syndrome in middle-aged and elderly adults: a cross-sectional study from a survey in Anhui, Eastern China

The aim of this study was to assess the sleep status of middle-aged and elderly adults in Bengbu City, Anhui Province, China, to identify the major dietary patterns, and to analyze the association of different sleep duration and dietary patterns with metabolic syndrome (MetS) and its related influencing factors, as well as to explore the predictive value of sleep duration and dietary patterns. A cross-sectional analysis was performed utilizing data collected from the Community-based Cardiovascular and Health Promotion Study 2019 (COCHPS 2019) conducted in Bengbu. The definition of MetS adhered to the criteria of Guidelines for the Prevention and Treatment of Dyslipidemia in Chinese Adults (2016 Revision). Dietary information was obtained using the Food Frequency Questionnaire (FFQ) to assess dietary intake over the past year. Principal component analysis (PCA) was performed to identify dominant dietary patterns. A logistic regression model was developed to analyze the associations among sleep duration, dietary patterns, and MetS, and a decision tree (DT) model was developed to compare factors affecting MetS and screen people at high risk for MetS. The prevalence of MetS was 13.4% among the 9132 middle-aged and elderly residents over 45 years of age included in COCHPS 2019. Participants were divided into short (< 6 h/d), normal (6–8 h/d), and long (> 8 h/d) groups based on their daily sleep duration. Three dietary patterns were identified by PCA, the fruit-milk pattern, the tubers-meat pattern, and the vegetable-cereal pattern. After adjusting for covariables, logistic regression analysis showed that long sleep duration was significantly negatively associated with MetS. The fruit-milk and vegetable-cereal patterns were negatively associated with MetS, whereas the tubers-meat pattern was positively correlated with MetS. The results of the DT model analysis showed that the vegetable-cereal pattern is the most important factor impacting MetS, followed by marital status, the tubers-meat pattern, the fruit-milk pattern, exercise, sleep duration, and gender. The DT model also screened out five types of MetS high-risk groups. The results of our study indicate that normal sleep duration and consumption of either a fruit-milk or vegetable-cereal diet may lower the likelihood of developing MetS in middle-aged and elderly adults.

Association between the oxidative balance score with metabolic syndrome traits in US adults

ObjectiveTo explore the association between the Oxidative Balance Score (OBS), which represents the balance of multiple oxidative stress-related dietary and lifestyle exposures, and the risk of metabolic syndrome (MetS).MethodsA population-based cross-sectional study design was adopted and 16,850 participants in NHANES database were included in the statistics analysis stage. The OBS was constructed by combining information from 20 a priori selected pro- and antioxidant factors. Weighted logistic regression and restricted cubic splines (RCS) were used to estimate the association between OBS and MetS.ResultsParticipants in the highest OBS quartile, indicating low oxidative stress (OS) levels, exhibited a significantly lower risk of MetS (odds Ratio [OR] = 0.55, 95% confidence Interval [CI]: 0.47–0.64) compared to the lowest quartile. Specifically, higher OBS was inversely associated with abdominal obesity (OR = 0.61, 95% CI: 0.54–0.69), hypertension (OR = 0.69, 95% CI: 0.58–0.83), elevated triglycerides (OR = 0.68, 95% CI: 0.57–0.82), low high-density lipoprotein cholesterol (HDL-C) levels (OR = 0.60, 95% CI: 0.50–0.70) and fasting blood glucose (FBG) levels (OR = 0.74, 95% CI: 0.62–0.88). The observed inverse association between OBS and hypertension or FBG levels appeared to primarily influenced by BMI. The association between dietary OBS intervals and elevated FBG levels was not statistically significant in men, whereas the risk was lower by 25% in women.ConclusionsA higher OBS, representing a balance of multiple oxidative stress-related dietary and lifestyle exposures, is associated with a lower risk of MetS. Therefore, adhering to an antioxidant diet and lifestyle may help prevent the occurrence of metabolic disorders.

Cardio-metabolic Disorders Affected by Genetic Polymorphisms Related to Premature Menopause.

Premature menopause (PM) is defined as the end of ovulation before the age of 40 years, a condition commonly referred to as primary ovarian insufficiency. It has been shown there is an association between early menopause and a high risk of cardiovascular disease. This study aimed to evaluate the effect of genetic polymorphisms related to premature menopause on cardio-metabolic disorders Objective: We aimed to investigate the single nucleotide polymorphisms associated with PM and the risk of cardio-metabolic disorders in the MASHAD cohort study. In this cross-sectional study, a total of 117 women with PM were recruited and compared with 183 healthy women. All participants were assessed for anthropometric indices and genotyped for eight selected polymorphisms within seven different genes. A significant difference was observed in physical activity level (PAL) between the groups. Individuals with rs4806660 CC genotype had a 3.63-fold increased risk of metabolic syndrome. Moreover, individuals with a TT genotype of the rs2303369 polymorphism had a 3.11-- fold increased risk of obesity. Our findings showed that genetic variations are risk factors related to cardio- metabolic disorders in women with premature menopause.

Association between neutrophil-percentage-to-albumin ratio (NPAR) and metabolic syndrome risk: insights from a large US population-based study

Metabolic syndrome (MetS) is a cluster of conditions that increase the risk of cardiovascular disease and diabetes. This study aimed to investigate the association between Neutrophil-Percentage-to-Albumin Ratio (NPAR) and MetS in a large, nationally representative US population. We analyzed data from 28,178 participants in the National Health and Nutrition Examination Survey (NHANES) 2005–2018. Logistic regression models were used to evaluate the association between NPAR and MetS. Restricted cubic spline (RCS) models were employed to assess the dose-response relationship. Mediation analyses were conducted to explore potential mediating effects of serum uric acid and triglyceride-glucose (TyG) index. After adjusting for confounders, participants in the highest NPAR quartile had a 14% higher risk of MetS compared to those in the lowest quartile (OR 1.14, 95%CI 1.03–1.27, P = 0.010). RCS models revealed a monotonic increasing trend between NPAR and MetS risk (P for overall association = 0.002). Mediation analyses showed that serum uric acid and TyG index mediated 14.93% and 29.45% of the total effect of NPAR on MetS, respectively. Subgroup analyses indicated that the positive association between NPAR and MetS was more pronounced in Mexican Americans, individuals aged 20–65 years, those with lower income, males, current smokers, and moderate drinkers. Higher NPAR is associated with increased risk of MetS in the US adult population. This association is partially mediated by serum uric acid and TyG index. These findings suggest that NPAR may serve as a novel biomarker for MetS risk assessment and provide insights into potential mechanisms linking inflammation and metabolic disorders.

The Influence of Regional Anesthesia on the Systemic Stress Response

Background: The systemic stress response to surgery is a complex physiological process characterized by neuroendocrine, sympathetic, and inflammatory activation. While necessary for survival, this response can lead to adverse outcomes such as hyperglycemia, immune suppression, cardiovascular complications, and delayed recovery. Regional anesthesia (RA) has been shown to modulate this stress response more effectively than general anesthesia (GA) by blocking nociceptive signaling and attenuating the release of stress mediators. Objectives: This review aims to elucidate how RA influences the systemic stress response, highlighting its clinical benefits in reducing postoperative pain, improving hemodynamic stability, minimizing inflammatory responses, and preserving immune function. Additionally, this review examines evidence from clinical trials supporting using RA to improve surgical outcomes, particularly in high-risk populations. Methods: A comprehensive narrative review of the literature was conducted to explore the physiological impact of RA on the systemic stress response and its associated clinical outcomes. Studies comparing RA to GA across various surgical procedures were evaluated, focusing on neuroendocrine modulation, sympathetic inhibition, inflammatory attenuation, and the implications for pain management, cardiovascular and pulmonary function, and immune preservation. Results: RA significantly attenuates the neuroendocrine response by reducing the release of cortisol and catecholamines, thereby improving hemodynamic stability and reducing myocardial oxygen consumption. RA also inhibits the sympathetic nervous system, leading to improved cardiovascular outcomes. Furthermore, RA mitigates the inflammatory response by reducing pro-inflammatory cytokine levels, reducing the risk of systemic inflammatory response syndrome (SIRS), sepsis, and pulmonary complications. Clinical studies and meta-analyses consistently demonstrate that RA reduces postoperative pain, opioid consumption, and the incidence of cardiovascular and pulmonary complications, particularly in elderly and high-risk patients. Conclusions: RA offers a significant advantage in modulating the systemic stress response to surgery, improving postoperative outcomes by reducing pain, enhancing cardiovascular stability, and preserving immune function. Its benefits are particularly pronounced in high-risk populations such as the elderly or those with pre-existing comorbidities. Given the growing evidence supporting its efficacy, RA should be considered a critical component of multimodal perioperative care strategies aimed at minimizing the systemic stress response and improving recovery. Future research should optimize RA techniques and identify patient-specific factors to enhance therapeutic benefits.

Germline Genetic Susceptibility Testing Among Emirati Nationals at Risk for Hereditary Breast and Ovarian Cancer Syndrome.

Breast cancer among Emirati patients is characterized by early-onset disease and later stages at presentation. Little is known about the germline genetic variants that may contribute to these observations. The goal of this study is to characterize the rate and implications of germline genetic variants among a cohort of Emirati patients at risk for hereditary breast and ovarian cancer syndrome. A retrospective study was performed to analyze the results of clinical germline genetic testing (March 2020-January 2023) among a cohort of consecutive Emirati patients at risk for hereditary breast and ovarian cancer syndrome: group A: patients with personal history of breast or ovarian cancer (n = 135); group B: unaffected patients with family history of breast or ovarian cancer (n = 37); and group C: patients presenting for cascade testing (n = 20). Management of patients identified to have pathogenic/likely pathogenic (P/LP) variants was analyzed. The rate of P/LP germline variants for each group was: group A: 17.3%, group B: 16.6%, group C: 57.9%. BRCA1 gene was the most commonly identified gene harboring P/LP variants, followed by BRCA2, among this cohort. Four unrelated patients had a recurrent BRCA1 pathogenic variant: c.4065_4068del (p.Asn1355Lysfs*10). Only two patients in this series elected risk-reducing mastectomy and four patients elected risk-reducing bilateral salpingo-oophorectomy. A higher rate of P/LP variants is seen among Emirati patients at risk for hereditary breast and ovarian cancer syndrome compared with reports of similar patients from Western populations. Efforts to increase utilization and awareness of germline genetic testing are warranted among Emirati patients.

Serum total bilirubin is a risk factor of metabolic syndrome and its components in obese Egyptians.

The link between serum total bilirubin and metabolic syndrome and its components has been previously proposed. However, it is unknown whether total bilirubin is a risk factor of metabolic syndrome and its components in obese Egyptians. Therefore, this study was conducted to clarify the association of total bilirubin levels with metabolic syndrome and its components in obese Egyptians. A total of 200 adults with obesity were enrolled in this study. Obese participants were evaluated for metabolic syndrome; there were 92 obese participants with metabolic syndrome and 108 obese participants without metabolic syndrome. Anthropometric measurements, fasting blood glucose (FBG), fasting insulin, homeostasis model assessment of insulin resistance (HOMA-IR), HOMA-β (%), lipid profile, uric acid, alanine aminotransferase, aspartate aminotransferase, and serum total bilirubin were assessed. Total bilirubin was significantly lower in obese participants with metabolic syndrome than in those without metabolic syndrome. Compared with middle bilirubin tertile, high and low bilirubin tertiles were independently associated with metabolic syndrome. Regarding metabolic syndrome components, a significant positive association between low bilirubin tertile and hypertension was found independent of the all studied confounding factors, whereas the association of total bilirubin level with waist circumference (WC), FBG, high-density lipoprotein cholesterol, and triglycerides was dependent on body mass index (BMI), HOMA-IR, and high sensitive C-reactive protein (hs-CRP). Total bilirubin is an independent risk factor of metabolic syndrome in obese Egyptians. We have found an independent association between high bilirubin level and reduced risk of metabolic syndrome, whereas low bilirubin level was associated with increased risk of metabolic syndrome. Bilirubin is also independently associated with hypertension, but its association with other components of metabolic syndrome is mainly dependent on BMI, HOMA-IR, and hs-CRP.

Cardiovascular-Kidney-Metabolic Syndrome Among Healthcare Workers in Chinese Tertiary Hospital.

To determine the prevalence of Cardiovascular-Kidney-Metabolic (CKM) Syndrome and identify risk factors, including occupational factors, lifestyle factors and clinical measurements, and female-specific risk enhancers among healthcare workers in China. A cross-sectional study was conducted among healthcare workers at Taizhou People's Hospital between April and May 2024. We collected data through surveys and laboratory results. Univariate and multivariate logistic regression analyses were performed to identify predictors of CKM syndrome and female-specific risk enhancers. A total of 1110 participants were recruited (197 male; 913 female; mean age 34.8±7.9). Almost 90% of male healthcare workers and 60% of female healthcare workers met the criteria for CKM syndrome (stage 1 or higher). Additionally, most male CKM syndrome patients were in stages 2-3 (53.81%), while most female CKM syndrome patients were in stage 1 (35.82%). Multivariate logistic regression analysis revealed that, compared to those with over 20 years of work duration, a work duration of less than 10 years was a protective factor for CKM Syndrome. Additionally, more than 8hours of sedentary time was identified as a risk factor compared to less than 2hours (OR = 1.376, 95% CI 1.027-1.844, P < 0.05). Receiver operating characteristic analysis showed that body mass index (BMI) was superior to fasting plasma glucose, glycated hemoglobin, triglycerides, and the triglyceride glucose product index in predicting CKM Syndrome, with area under the curve values of 0.884 vs 0.638, 0.708, 0.745, and 0.761, respectively (P < 0.05 for all). BMI was identified as an independent risk factor for female-specific risk enhancers. CKM syndrome is prevalent among healthcare workers in Chinese tertiary hospitals, with males generally presenting at more advanced stages than females. BMI is a key predictor of CKM syndrome and female-specific risk enhancers.

High-coverage targeted lipidomics revealed novel profile of serum lipid dysregulation in adult growth hormone deficiency.

Patients with adult growth hormone deficiency (AGHD) are at increased risk of metabolic syndrome. Despite extensive research efforts in recent decades, the lipid metabolism pattern of AGHD has yet to be thoroughly characterized. In this study, we used lipidomics analysis of fasting serum samples from 30 AGHD patients due to intracranial germ cell tumors (iGCTs) and 30 age-, gender-, and body mass index (BMI)-matched healthy controls to investigate the serum lipidomic pattern of AGHD patients due to iGCTs. We meticulously quantified 534 serum lipids from 29 classes using high-coverage targeted lipidomics technology in conjunction with a robust bioinformatics pipeline. Our results revealed an AGHD-specific dynamic change in serum lipidomic profile, manifested by higher overall levels of many lipid subclasses, including triacylglycerols (TAGs), diacylglycerols (DAGs), phosphatidylglycerols, phosphatidylethanolamines (PE), phosphatidylcholines (PC), phosphatidylinositols, ceramides, and bis(monoacylglycerol)phosphates than in healthy controls, and a distinct lowering level in alkyl PE (PE-O) and alkyl PC (PC-O). AGHD individuals with non-alcoholic fatty liver disease showed specific changes in higher TAG and DAG subclass levels. Alterations in lipid profiles may contribute to metabolic dysregulation in AGHD patients. TAGs, PCs, and PE-fatty acids positively correlated with BMI, fasting insulin, insulin resistance index, and adverse lipid parameters. In contrast, ether-linked PE-O, PC-O, and LysoPE-O showed a negative correlation. This study has significantly expanded the current understanding of lipid dysregulation in AGHD patients due to iGCT. These findings can potentially guide future research and the development of monitoring and intervention strategies.

Low Prognostic Nutritional Index (PNI) Level is Associated with an Increased Risk of Neonatal Respiratory Distress Syndrome in Preterm Infants with Different Gestational Ages: A Retrospective Study.

Neonatal respiratory distress syndrome (NRDS) is common in preterm infants. Prognostic nutritional index (PNI)((albumin (g/L)+(5×total lymphocyte count (109/L)) is a comprehensive indicator of nutritional and immune levels, and associated with several diseases. The relationship between PNI and the risk of NRDS in newborns of different gestational ages remains unclear. A total of 2722 preterm infants were included in this retrospective study. PNI level and clinical records of these neonates (adverse pregnancy and birth history, amniotic fluid contamination, nuchal cord, placental abnormality, mode of delivery, gender and birth weight of neonates, Apgar scores) were collected. The clinical features of the infants with and without NRDS were compared. Logistic regression analysis was used to evaluate the relationship between PNI and NRDS in newborns with different gestational ages. There were 1226 neonates with NRDS and 1496 without NRDS. The differences in the proportions of placenta abnormality, cesarean section, and small for gestational age (SGA) among infants with 34-37weeks, 28+1-33+6 weeks, and ≤28weeks gestational age were statistically significant. Logistic analysis showed that cesarean section (odds ratio (OR): 1.550, 95% confidence interval (CI): 1.197-2.007, p=0.001), and low PNI (OR: 1.417, 95% CI: 1.110-1.808, p=0.005) were associated with NRDS in infants born at 34-37weeks gestational. Adverse pregnancy and birth history (OR: 1.507, 95% CI: 1.124-2.019, p=0.006), SGA (OR: 1.994, 95% CI: 1.455-2.733, p<0.001), and low PNI (OR: 1.626, 95% CI: 1.230-2.149, p=0.001) were associated with NRDS in infants with 28+1-33+6 weeks gestational age. Low PNI (OR: 5.512, 95% CI: 1.555-19.536, p=0.008) was associated with NRDS in infants with ≤28weeks gestational age. The risk factors for NRDS in preterm infants with different gestational ages were different. But the low PNI level is associated with an increased risk of NRDS in preterm infants with all different gestational ages.

Increase in counseling seen among patients at risk for genetic cancer syndromes with the use of a digital, risk stratification tool in a historically-underserved population: A randomized controlled trial

Increase in counseling seen among patients at risk for genetic cancer syndromes with the use of a digital, risk stratification tool in a historically-underserved population: A randomized controlled trial

Daily and Peak Monitor Independent Movement Summary (MIMS) Values Associated With Metabolic Syndrome: NHANES 2011-12 and 2013-14.

The U.S. National Health and Nutrition Examination Survey (NHANES) physical activity monitor datasets for 2011-12 and 2013-14 were released in late 2020. To date, there has been limited interpretation of these nationally representative wrist-worn accelerometer data (summarized and reported in Monitor Independent Movement Summary [MIMS] units) and their relationships with health-related outcomes. This study examined the associations between free-living DailyMIMS (volume), Peak 1MIMS and Peak 30MIMS (intensity), and risk of Metabolic Syndrome (MetS). Data from adults (N=3787; 18-80+ years) in the 2011-12 and 2013-14 NHANES cycles with health examination and accelerometry data were included. Accelerometer data were processed into Peak 1MIMS and Peak 30MIMS (MIMS/min), and DailyMIMS (MIMS/day). Design-based generalized linear and logistic regressions, and a sample-weighted decision tree, were used to examine associations between MIMS variables and MetS risk factors. Lower Peak 1MIMS, Peak 30MIMS, and DailyMIMS were observed for every one-unit increase in the number of risk factors -3.9 [95% CI: -4.3, -3.4] and -2.3 [-2.6, -2.1] MIMS/min, (-672.1 [-772.7, -571.5] MIMS/day, respectively, all p< 0.001). The Decision Tree classified individuals ≥ 46.5 years with a DailyMIMS ≥ 12 245 MIMS/day and a Peak 30MIMS < 45.1 MIMS/min as having MetS (≥ 3 risk factors). Individuals < 46.5 years with a Peak 1MIMS ≥ 62.9 MIMS/min were classified with 0 risk factors. Higher DailyMIMS and PeakMIMS were associated with an absence of MetS risk factors, with a progressive decline as the number of risk factors increased. These findings may be considered as preliminary benchmarks for DailyMIMS and PeakMIMS associated with cardiometabolic risk.

Omidubicel for Hematopoietic Cell Transplants: Considerations for Patients and Treatment Outcomes.

For patients with hematologic malignancies requiring allogeneic stem cell transplantation, alternative donor sources are needed when lacking access to a matched related or unrelated donor. Umbilical cord blood (UCB) has been an important alternative allograft donor source for these patients; however, several limitations exist. Omidubicel is a nicotinamide modified allogeneic hematopoietic progenitor cell therapy derived from UCB. Omidubicel was approved in May 2023 by the United States Food and Drug Administration based on the results of a Phase III trial comparing it to UCB transplantation in patients with high-risk hematologic malignancies. Median time to neutrophil engraftment was faster with omidubicel compared to UCB transplantation (12 days vs 22 days; p<0.001). There was also a lower incidence of grade 2/3 bacterial or invasive fungal infections with omidubicel compared to UCB transplantation (37% vs 57%; p=0.027). From a safety perspective, omidubicel has a boxed warning due to the risk of life-threatening infusion reactions, graft-versus-host disease, graft failure, and engraftment syndrome. Omidubicel represents an important advancement in developing novel alternative allograft donor sources. This also has important implications in ensuring access to alternative donor sources for ethnic and minority populations.

Treatment with Metformin Can Improve Insulin Resistance and Lipid Profile in Non-Diabetic Iraqi Women with Polycystic Ovary Syndrome

Abstract Background: Women with polycystic ovary syndrome (PCOS) are usually at increased risk of metabolic syndrome and insulin resistance (IR), regardless of their body weight, and the development of type 2 diabetes in those women is not uncommon. Metformin is an oral hypoglycemic drug with a significant role in improving IR and lipid profile in diabetic persons without causing hypoglycemia. Objectives: To study the effectiveness of metformin in reducing body weight, IR, and lipid profile in non-diabetic PCOS women. Materials and Methods: Two hundred women with PCOS were included in the study. Serum was taken from them, and measurement of insulin level, fasting blood sugar (FBS), glycosylated hemoglobin (HbA1c), and lipid profile were performed as a baseline. Metformin tabs of 500 mg twice daily were given for 3 months, and measurement of the previous parameters was also performed following treatment. The results were compared between pre- and post-treatment. Results: The study showed that body mass index was not changed following 3 months of metformin intake, while there was a significant reduction in FBS, serum level of insulin, HbA1c, and Homa-IR following treatment. Together and with the exception of a non-significant mild improvement in serum high-density lipoprotein level, serum levels of cholesterol, triglyceride, and low-density lipoprotein were improved with a significant reduction following metformin treatment. Conclusion: Regardless its ability to reduce body weight, metformin can be effectively used for lowering FBS, lipid profile, and improving IR in non-diabetic PCOS women and can be used as an effective intervention to improve the quality of life in women with PCOS.

Managing Postembolization Syndrome Through a Machine Learning-Based Clinical Decision Support System: A Randomized Controlled Trial.

Although transarterial chemoembolization has improved as an interventional method for hepatocellular carcinoma, subsequent postembolization syndrome is a threat to the patients' quality of life. This study aimed to evaluate the effectiveness of a clinical decision support system in postembolization syndrome management across nurses and patient outcomes. This study is a randomized controlled trial. We included 40 RNs and 51 hospitalized patients in the study. For nurses in the experimental group, a clinical decision support system and a handbook were provided for 6 weeks, and for nurses in the control group, only a handbook was provided. Notably, the experimental group exhibited statistically significant improvements in patient-centered caring attitude, pain management barrier identification, and comfort care competence after clinical decision support system implementation. Moreover, patients' symptom interference during the experimental period significantly decreased compared with before the intervention. This study offers insights into the potential of clinical decision support system in refining nursing practices and nurturing patient well-being, presenting prospects for advancing patient-centered care and nursing competence. The clinical decision support system contents, encompassing postembolization syndrome risk prediction and care recommendations, should underscore its role in fostering a patient-centered care attitude and bolster nurses' comfort care competence.

Metabolic syndrome in patients who have been subjected to isolation security measures and treated with atypical antipsychotics.

The main aim of the study was to assess the incidence of metabolic syndrome and its individual components in patients subject to a confinement measure, treated with antipsychotics in mono - or polytherapy. Additional objectives included the analysis of associations between the occurrence of metabolic syndrome and patients' age, psychiatric diagnosis, overweight or obesity, and the presence of addictions to psychoactive substances. The study involved 61 patients of the Department of Forensic Psychiatry, including 9 women and 52 men, subject to a confinement measure from September 2019 to August 2021. All parameters of metabolic syndrome and BMI were measured twice, at the beginning of the stay at the Department and after six months of treatment with atypical antipsychotics. Appropriate statistical comparative analyses were then performed. There was no relationship between the occurrence of metabolic syndrome and the age of the subjects, medical diagnosis, addiction to psychoactive substances, including smoking. It has not been confirmed that the chronic use of atypical antipsychotics with parallel prophylactic and health-promoting effects in conditions of confinement leads to the development of metabolic syndrome and worsens its symptoms, apart from a marked increase in waist circumference and an increase in BMI. Systematic measurements of BMI and waist circumference during treatment with atypical antipsychotics may be accurate tools in assessing the risk of metabolic syndrome. Long-term confinement hospitalizations should include psychoeducational nterventions aimed at minimizing metabolic complications of pharmacotherapy.