CARDIOMETABOLIC RISK FACTORS ASSOCIATED WITH RENAL FUNCTION IN APPARENTLY HEALTHY YOUNG STUDENTS: A CROSS-SECTIONAL STUDY.

BACKGROUND: Cardiometabolic risk factors (CMRFs) appear decades before developing chronic kidney disease (CKD) in adulthood. OBJECTIVE: The objective of the study was to identify the prevalence and association between CMRFs and kidney function in apparently healthy young adults (18-25 years old). METHODS: We included 5531 freshman year students. Data collected on CMRFs included central obesity, high body mass index (hBMI >25), blood pressure, glycemia, lipids, uric acid (UA >6.8 mg/dL), and insulin. Glomerular filtration rate (GFR) was estimated by CKD-Epidemiology Collaboration formula. We used logistic regression and a log linear for odds ratio (OR) (95% confidence level) and probabilities. RESULTS: The presence of any CMRF was observed in 78% (4312) of individuals; GFR ≥120/130 mL/min/1.73 m2sc was found in 33%, GFR <90 mL/min/1.73 m2sc in 3%, and proteinuria in 3%. Factors associated with high GFR were hBMI (OR 1.3 [1.14, 1.47]), UA (OR 0.2 [0.15, 0.26]), high-density lipoprotein (HDL) (OR 1.4 [1.2, 1.6]), and insulin resistance (OR 1.3 [1.05, 1.7]). CMRF associated with low GFR was UA (OR 1.8 [1.3, 2.6]), low-density lipoprotein cholesterol (OR 1.66 [1.05, 2.6]), and proteinuria (OR 3.4 [2.07, 5.7]). Proteinuria was associated with high UA (OR 1.59 [1.01, 2.5]) and hypercholesterolemia (OR 1.8 [1.03, 3.18]). The sole presence of hBMI+UA predicted low GFR with p = 0.6 and hBMI+UA+low HDL predicted proteinuria with p = 0.55. CONCLUSIONS: CMRFs were highly prevalent among this freshman student population and were associated with proteinuria and GFR abnormalities. Future studies should focus on public health programs to prevent or delay the development of CKD.

Changes in lactate dehydrogenase on admission throughout the COVID-19 pandemic and possible impacts on prognostic capability.

Introduction: The enzyme lactate dehydrogenase (LDH) is a good marker of general hyperinflammation correlated with mortality for COVID-19, and is therefore used in prognosis tools. In a current COVID-19 clinical randomized trial (CRT), the blood level of LDH was selected as an inclusion criterion. However, LDH decreased during the pandemic; hence, the impact of this decrease on the prognostic value of LDH for mortality was evaluated. Methods: Data on LDH levels in 843 patients were obtained and analyzed. Relative risk, standard error and receiver operating characteristic curves were calculated for two cutoff values. Results: Relative risk lost validity and the area under the curve narrowed by trimester during the pandemic. Conclusion: The progressive decrease in LDH impacted the capacity to predict mortality in COVID-19. More studies are needed to validate this finding and its implications.

Looking for Crumbs in the Obesity Forest: Anti-obesity Interventions and Obesity-Associated Cardiometabolic Traits in the Mexican Population. History and Systematic Review With Meta-Analyses.

Mexicans and Mexican Americans share culture, genetic background, and predisposition for chronic complications associated with obesity and diabetes making imperative efficacious treatments and prevention. Obesity has been treated for centuries focused-on weight loss while other treatments on associated conditions like gout, diabetes (T2D), and hypertriglyceridemia. To date, there is no systematic review that synthesizes the origin of obesity clinics in Mexico and the efforts to investigate treatments for obesity tested by randomized clinical trials (RCT). We conducted systematic searches in Pubmed, Scopus, and Web of Science to retrieve anti-obesity RCT through 2019 and without an inferior temporal limit. The systematic review included RCT of anti-obesity treatments in the Mexican adult population, covering alternative medicine, pharmacological, nutritional, behavioral, and surgical interventions reporting metabolism-associated traits such as BMI, weight, waist circumference, triglycerides, glucose, among others. Only the studies with at least 3 months of treatment were included in the meta-analyses in order to reduce placebo effects. We found 634 entries, after removal of duplicates and screening the studies based on eligibility criteria, we analyzed 43 national, and 2 multinational-collaborative studies. Most of the national studies had small sample sizes, and the implemented strategies do not have replications in the population. The nutrition/behavioral interventions were difficult to blind, and most studies have medium-to-high risk of bias. Nutritional/behavioral interventions and medications showed effects on BMI, waist circumference, and blood pressure. Simple measures like pure water instead of sweet beverages decrease triglycerides and systolic blood pressure. Dark chocolate showed the highest effect for BMI and high blood pressure, and treatment with insulin increased weight in those with T2D. The study of obesity in Mexico has been on-going for more than four decades, the interest on RCT just increased until this millennium, but with small sample sizes and lack of replication. The interventions affect different cardiometabolic associated traits, which should be analyzed in detail in the population living near the Mexico-U.S. border; therefore, bi-national collaboration is desirable to disentangle the cultural effects on this population's treatment response. Systematic Review Registration: https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42020221436, identifier: CRD42020221436.

[Consenso experto en tiempos de COVID-19: aplicaciones del método Delphi en materia de salud].

La epidemia de COVID-19 ha modificado la cultura de la comunicación. La solución para los problemas de salud puede ser asertiva cuando es consensuada. El método Delphi es una herramienta de consenso que emplea rondas de listas de preguntas para recopilar información del conocimiento de un panel de expertos que analizan planteamientos y posibles soluciones a problemas. Se basa en la premisa de que, con la libertad del anonimato, la inteligencia combinada mejora el juicio individual y captura la opinión colectiva experta. El proceso del método es muy flexible, pues las rondas de preguntas pueden realizarse de manera presencial o remota. En este artículo se describe cómo implementar el método Delphi convencional en tiempos de confinamiento, y se analizan la utilidad y las limitaciones del método para su uso por expertos en salud para la resolución de problemas de tratamiento, diagnóstico o administrativos. Las tecnologías actuales para recolectar los datos permiten gran flexibilidad en el formato de los cuestionarios y facilitan la recopilación de la opinión experta. Gracias a su adaptabilidad, el método Delphi se está convirtiendo en una estrategia popular que involucra los ámbitos cualitativo y cuantitativo.

Cardiometabolic risk factors associated with renal function in apparently healthy young students: a cross-sectional study

ABSTRACT Background: Cardiometabolic risk factors (CMRFs) appear decades before developing chronic kidney disease (CKD) in adulthood. Objective: The objective of the study was to identify the prevalence and association between CMRFs and kidney function in apparently healthy young adults (18-25 years old). Methods: We included 5531 freshman year students. Data collected on CMRFs included central obesity, high body mass index (hBMI >25), blood pressure, glycemia, lipids, uric acid (UA >6.8 mg/dL), and insulin. Glomerular filtration rate (GFR) was estimated by CKD-Epidemiology Collaboration formula. We used logistic regression and a log linear for odds ratio (OR) (95% confidence level) and probabilities. Results: The presence of any CMRF was observed in 78% (4312) of individuals; GFR ≥120/130 mL/min/1.73 m2sc was found in 33%, GFR <90 mL/min/1.73 m2sc in 3%, and proteinuria in 3%. Factors associated with high GFR were hBMI (OR 1.3 [1.14, 1.47]), UA (OR 0.2 [0.15, 0.26]), high-density lipoprotein (HDL) (OR 1.4 [1.2, 1.6]), and insulin resistance (OR 1.3 [1.05, 1.7]). CMRF associated with low GFR was UA (OR 1.8 [1.3, 2.6]), low-density lipoprotein cholesterol (OR 1.66 [1.05, 2.6]), and proteinuria (OR 3.4 [2.07, 5.7]). Proteinuria was associated with high UA (OR 1.59 [1.01, 2.5]) and hypercholesterolemia (OR 1.8 [1.03, 3.18]). The sole presence of hBMI+UA predicted low GFR with p = 0.6 and hBMI+UA+low HDL predicted proteinuria with p = 0.55. Conclusions: CMRFs were highly prevalent among this freshman student population and were associated with proteinuria and GFR abnormalities. Future studies should focus on public health programs to prevent or delay the development of CKD.