Comparison of weight loss effects among overweight/obese adults: A network meta-analysis of mediterranean, low carbohydrate, and low-fat diets.

BACKGROUND & AIMS: Eating patterns significantly impact the weight loss process. This study aimed to investigate the influence of primary eating patterns on weight loss measures in overweight and obese adults using network meta-analysis. METHODS: We systematically searched PubMed, Scopus, Web of Science (WOS), and Google Scholar until May 2, 2023. Our network meta-analysis followed the PRISMA extension guidelines for Comparing Mediterranean, low carbohydrate and low fat diet effects on weight loss among overweight/obese adults. We conducted a Frequentist random-effects network meta-analysis. Summary effects were presented as mean differences (MD) along with corresponding standard deviations (SD). P-scores were used for treatment ranking within the network. RESULTS: Initial literature searches yielded 1574 citations. Ultimately, 1004 participants from 7 RCTs (or 9 trials) met inclusion criteria. All diets resulted in weight loss. Comparatively, the low-carbohydrate diet exhibited a significant decrease in weight loss compared to the Mediterranean diet (MD = -2.70 kg, 95% CI: -4.65, -0.75). Indirect evidence revealed that both the low-carbohydrate diet (MD = -6.31 kg, 95% CI: -11.23, -1.39) and the low-fat diet (MD = -5.61 kg, 95% CI: -10.61, -0.61) significantly reduced weight among overweight/obese adults compared to the standard hypolipemic diet. Rankings indicated the low-carbohydrate diet as the most effective dietary intervention for enhancing weight loss (P-score = 0.8994) and reducing body fat (P-score = 0.7060). CONCLUSIONS: Overall, a low-carb diet appears to be among the most effective approaches for weight loss and body fat reduction. However, it's essential to consider that its efficacy may vary based on factors such as age, gender, genetics, and lifestyle habits.

Androgenic alopecia is associated with higher dietary inflammatory index and lower antioxidant index scores.

Background: Androgenic alopecia (AGA), the most prevalent hair loss type, causes major psychological distress and reduced quality of life. A definite and safe cure/prevention for this condition is still lacking. The role of oxidative stress and inflammation in AGA pathogenesis prompted us to investigate the association between dietary antioxidant index (DAI) and energy-adjusted dietary inflammatory index (E-DII) with AGA. Methods: The investigation was designed based on data from 10,138 participants from the Fasa Adult Cohort Study (FACS). DAI and energy-adjusted DII (E-DII) were calculated utilizing a validated 125-item food frequency questionnaire (FFQ). A physician diagnosed AGA. Logistic regression models were utilized to evaluate the association of DAI and E-DII with AGA. Results: After exclusion, 9,647 participants (44.0% men, mean age: 48.6 ± 9.5 years) consisting of 7,348 participants with AGA entered the analyses. Higher DAI was associated with 10% lower AGA odds, while higher E-DII showed 4% higher AGA odds after adjusting for various confounding variables. However, significant associations were found only among women, and adjusting for metabolic syndrome (MetS) made the E-DII-AGA association insignificant. Conclusion: Antioxidant-rich diets protect against AGA, while pro-inflammatory diets increase the risk, likely through developing MetS. Patient nutrition is frequently overlooked in clinical practice, yet it plays a crucial role, especially for women genetically predisposed to androgenetic alopecia. Dietary changes, such as reducing pro-inflammatory foods (like trans and saturated fats) and increasing anti-inflammatory options (fruits and vegetables), can help prevent hair loss and mitigate its psychological impacts, ultimately lowering future treatment costs.

The impact of flaxseed oil on lipid profiles, weight loss, and inflammatory markers in hemodialysis patients: A systematic review and meta-analysis of randomized controlled trials.

Studies investigating the effects of flaxseed oil on lipid profiles, weight loss, and inflammatory markers have produced inconsistent results. This systematic review and meta-analysis of randomized controlled trials (RCTs) aimed to explore the impact of flaxseed oil on these parameters in hemodialysis patients. The study protocol was registered online (PROSPERO number: CRD42023484076). The meta-analyses showed a significant decrease in triglyceride (TG) levels (WMD = -85.78 mg/dL, 95% CI: -155.24 to -16.32, I2 = 98.32%) and C-reactive protein (CRP) levels (WMD = -2.66 mg/L, 95% CI: -4.07 to -1.24, I2 = 92.26%) following consumption of flaxseed oil. Subgroup analyses revealed significant changes in LDL-C, HDL-C, and TC levels only in trials utilizing a dosage higher than 10 g per day and using ground flaxseed oil. Based on the results, flaxseed oil improves CRP and TG levels, and higher doses positively affect lipid profiles. However, it has no significant effect on anthropometric measures.

Machine learning-based models to predict the conversion of normal blood pressure to hypertension within 5-year follow-up.

BACKGROUND: Factors contributing to the development of hypertension exhibit significant variations across countries and regions. Our objective was to predict individuals at risk of developing hypertension within a 5-year period in a rural Middle Eastern area. METHODS: This longitudinal study utilized data from the Fasa Adults Cohort Study (FACS). The study initially included 10,118 participants aged 35-70 years in rural districts of Fasa, Iran, with a follow-up of 3,000 participants after 5 years using random sampling. A total of 160 variables were included in the machine learning (ML) models, and feature scaling and one-hot encoding were employed for data processing. Ten supervised ML algorithms were utilized, namely logistic regression (LR), support vector machine (SVM), random forest (RF), Gaussian naive Bayes (GNB), linear discriminant analysis (LDA), k-nearest neighbors (KNN), gradient boosting machine (GBM), extreme gradient boosting (XGB), cat boost (CAT), and light gradient boosting machine (LGBM). Hyperparameter tuning was performed using various combinations of hyperparameters to identify the optimal model. Synthetic Minority Over-sampling Technology (SMOTE) was used to balance the training data, and feature selection was conducted using SHapley Additive exPlanations (SHAP). RESULTS: Out of 2,288 participants who met the criteria, 251 individuals (10.9%) were diagnosed with new hypertension. The LGBM model (determined to be the optimal model) with the top 30 features achieved an AUC of 0.67, an f1-score of 0.23, and an AUC-PR of 0.26. The top three predictors of hypertension were baseline systolic blood pressure (SBP), gender, and waist-to-hip ratio (WHR), with AUCs of 0.66, 0.58, and 0.63, respectively. Hematuria in urine tests and family history of hypertension ranked fourth and fifth. CONCLUSION: ML models have the potential to be valuable decision-making tools in evaluating the need for early lifestyle modification or medical intervention in individuals at risk of developing hypertension.

Comparing Quality of Life: Discectomy Surgery versus Epidural Corticosteroid Injection for Lumbar Disc Herniation.

BACKGROUND: Selecting an efficient treatment for patients with radiculopathy caused by lumbar disc herniation (LDH) unresponsive to conservative management remains a challenging task under investigation, yielding varying results. This study aims to compare the outcomes of the 2 most prevalent invasive treatments. METHODS: In this retrospective longitudinal study, we enrolled patients with confirmed refractory symptomatic LDH who sought treatment at Valiasr Hospital and underwent either discectomy surgery or epidural steroid injection (ESI) between 2019 and 2022. The outcome measures included pain intensity using the Visual Analog Scale (VAS) and quality of life (QoL) using the SF-36 questionnaire. RESULTS: A total of 202 individuals (112 in the discectomy group and 90 in the ESI group) consisting of 90 males and 112 females, with a mean age of 50.9 ± 13.5 years, underwent analysis. In the univariate analysis, QoL scores were significantly higher in the discectomy group (57.4 ± 2.4) compared to the ESI group (44.2 ± 2.4) (P < 0.01). Furthermore, the surgery group exhibited a significantly greater reduction in the Leg VAS score after treatment compared to the ESI group (mean difference: -2.59, 95% confidence interval (CI): -3.45 to -1.70, P < 0.01). After adjusting for the most important confounding variables using multiple linear regression analysis, the association between surgery and higher QoL scores remained statistically significant (Unstandardized Coefficients B = 7.65, 95% CI: 0.55, 14.76, P = 0.03). CONCLUSIONS: Our findings indicate that discectomy surgery has a more pronounced effect on patient outcomes and is a preferable treatment option for LDH patients.

Methanol poisoning during the COVID-19 pandemic in Iran: A retrospective cross-sectional study of clinical, laboratory, and brain imaging characteristics and outcomes.

Objective: To evaluate the frequency and significance of brain imaging findings in methanol poisoning patients and to propose a criterion for prioritizing brain imaging. Methods: We retrospectively reviewed the data of 306 patients (286 men and 34 women, mean age 32.10 ± 9.9 years) with confirmed methanol poisoning who were admitted to two hospitals in Iran during the COVID-19 pandemic. We analyzed their demographic, clinical, laboratory, and brain imaging data. Results: The main brain computed tomography (CT) scan findings were hypodensity in the putamen (11.1%), cerebellar nuclei (8.2%), diffuse cerebral edema (7.5%), and intracranial hemorrhage (ICH; 1.6%). These findings were associated with blood pH, Glasgow Coma Scale (GCS), renal failure, bicarbonate, oxygen, carbon dioxide, potassium, and glucose levels (p < 0.05). Poor prognosis was related to blindness, opium addiction, chronic alcohol use, hyperglycemia, and abnormal CT scans (p < 0.001 for all). The most predictive brain imaging findings for poor prognosis were hypodensity in the cerebellar nuclei, diffuse cerebral edema, and ICH. Conclusion: Brain imaging can provide valuable information for the diagnosis and management of methanol poisoning patients. We suggest that patients with severe acidosis, low GCS, low pH, low oxygen saturation, and high glucose levels should undergo brain CT scan as a priority.