A5088249067- Diabetes, Cardiovascular Risks, and Lipoproteins
- COVID-19 Clinical Research Studies
- COVID-19 and healthcare impacts
- COVID-19 epidemiological studies
- Diabetes and associated disorders
- SARS-CoV-2 and COVID-19 Research
- Diabetes Management and Research
- Long-Term Effects of COVID-19
- Liver Disease Diagnosis and Treatment
- Cardiovascular Disease and Adiposity
- Chronic Disease Management Strategies
- Cardiovascular Health and Risk Factors
- Global Public Health Policies and Epidemiology
- Lipoproteins and Cardiovascular Health
- Health disparities and outcomes
- COVID-19 and Mental Health
- Nutrition and Health in Aging
- Adipokines, Inflammation, and Metabolic Diseases
- Frailty in Older Adults
- Health and Lifestyle Studies
- Vaccine Coverage and Hesitancy
- Lipid metabolism and disorders
- Diet and metabolism studies
- Climate Change and Health Impacts
- COVID-19 Pandemic Impacts
Instituto Nacional de Pediatria
2020-2025
ORCID
2024
Universidad Nacional Autónoma de México
2015-2023
Tecnológico de Monterrey
2018-2023
NIMS University
2023
Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán
2016-2022
Weatherford College
2021
Instituto Nacional de Salud Pública
2017
Abstract Background The SARS-CoV-2 outbreak poses a challenge to health care systems due its high complication rates in patients with cardiometabolic diseases. Here, we identify risk factors and propose clinical score predict COVID-19 lethality, including specific for diabetes obesity, role improving prediction. Methods We obtained data of confirmed negative cases their demographic characteristics from the General Directorate Epidemiology Mexican Ministry Health. investigated associated...
We developed a novel non-insulin-based fasting score to evaluate insulin sensitivity validated against the euglycemic-hyperinsulinemic clamp (EHC). also evaluated its correlation with ectopic fact accumulation and capacity predict incident type 2 diabetes mellitus (T2D).The discovery sample was composed by 125 subjects (57 without 68 T2D) that underwent an EHC. defined METS-IR as Ln((2*G0)+TG0)*BMI)/(Ln(HDL-c)) (G0: glucose, TG0: triglycerides, BMI: body mass index, HDL-c: high-density...
Post-acute sequelae after SARS-CoV-2 infection (PASC) remains a concerning long-term complication of COVID-19. Here, we aimed to characterize the epidemiology PASC in Mexico during 2022 and identify potential associations covariates with prevalence using nationally representative data. We analyzed data from Mexican National Health Nutrition Survey (ENSANUT) 24,434 participants, representing 85,521,661 adults ≥20 years. was defined both Institute for Care Excellence (NICE) definition score...
ABSTRACT BACKGROUND The SARS-CoV-2 outbreak poses challenge to healthcare systems due high complication rates in patients with cardiometabolic diseases. Here, we identify risk factors and propose a clinical score predict COVID-19 lethality, including specific for diabetes obesity its role improving prediction. METHODS We obtained data of confirmed negative cases their demographic health characteristics from the General Directorate Epidemiology Mexican Ministry Health. investigated associated...
COVID-19 has had a disproportionate impact on older adults. Mexico's population is younger, yet COVID-19's adults comparable to countries with structures. Here, we aim identify health and structural determinants that increase susceptibility in Mexican beyond chronological aging.
The Islamic Republic of Iran reported its first COVID-19 cases by 19 th February 2020, since then it has become one the most affected countries, with more than 73,000 and 4,585 deaths to this date. Spatial modeling could be used approach an understanding structural sociodemographic factors that have impacted spread at a province-level in Iran. Therefore, present paper, we developed spatial statistical describe how are spatially distributed identify significant clusters socioeconomic climatic...
Diabetes and hyperglycemia are risk factors for critical COVID-19 outcomes; however, the impact of pre-diabetes previously unidentified cases diabetes remains undefined. Here, we profiled hospitalized patients with undiagnosed type 2 to evaluate its on adverse outcomes. We also explored role de novo intrahospital in mediating
Introduction Previous reports in European populations demonstrated the existence of five data-driven adult-onset diabetes subgroups. Here, we use self-normalizing neural networks (SNNN) to improve reproducibility these subgroups Mexican cohorts extend its application more diverse settings. Research design and methods We trained SNNN compared it with k-means clustering classify a multiethnic representative population-based National Health Nutrition Examination Survey (NHANES) datasets all...
Abstract Background The impact of the coronavirus disease 2019 (COVID-19) pandemic in Mexico City has been sharp, as several social inequalities at all levels coexist. Here we conducted an in-depth evaluation individual and municipal-level on COVID-19 City. Methods We analyzed suspected severe acute respiratory syndrome 2 (SARS-CoV-2) cases, from Epidemiological Surveillance System 24 February 2020 to 31 March 2021. outcomes included rates hospitalization, COVID-19, invasive mechanical...
Abstract Background Healthcare workers (HCWs) could be at increased occupational risk for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infections due to exposure. Information regarding the burden of disease 2019 (COVID-19) epidemic in HCWs living Mexico is scarce. Here, we aimed explore epidemiology, symptoms, and factors associated with adverse outcomes City. Methods We explored data collected by National Epidemiological Surveillance System City, who underwent real-time...
To estimate diabetes-related mortality in Mexico 2020 compared with 2017-2019 after the onset of coronavirus disease 2019 (COVID-19) pandemic.This retrospective, state-level study used national death registries Mexican adults aged ≥20 years for 2017-2020 period. Diabetes-related was defined using ICD-10 codes listing diabetes as primary cause death, excluding certificates COVID-19 death. Spatial and negative binomial regression models were to characterize geographic distribution...
Abstract Background In 2020, Mexico experienced one of the highest rates excess mortality globally. However, extent non-COVID deaths on mortality, its regional distribution and association between socio-demographic inequalities have not been characterized. Methods We conducted a retrospective municipal individual-level study using 1 069 174 death certificates to analyse COVID-19 non-COVID-19 classified by ICD-10 codes. Excess was estimated as increase in cause-specific 2020 compared with...
Vaccination has been effective in ameliorating the impact of COVID-19. Here, we report vaccine effectiveness (VE) nationally available COVID-19 vaccines Mexico.
Hypertension is associated with insulin resistance (IR), metabolic syndrome (MS), and arterial stiffness. Non-insulin-based IR indexes were developed as tools for screening. Here, we aimed to evaluate the novel non-insulin-based Metabolic Score (METS-IR) index prediction of incident hypertension stiffness evaluated using pulse wave velocity (PWV) analysis, compared other indexes. We two populations, a cross-sectional evaluation high-risk individuals (n = 305) wide range comorbidities...
Type 2 diabetes mellitus (T2D) is a leading cause of morbidity and mortality in Mexico. Here, we aimed to report incidence rates (IR) type middle-aged apparently-healthy Mexican adults, identify risk factors associated ID develop predictive model for high-risk population.Prospective 3-year observational cohort, comprised adults from urban settings central Mexico whom demographic, anthropometric biochemical data was collected. We evaluated using Cox proportional hazard regression developed...
Sampson et al. developed a novel method to estimate very low-density lipoprotein cholesterol (VLDL-C) and (LDL-C) in the setting of hypertriglyceridemia. Familial Combined Hyperlipidemia (FCHL) is common primary dyslipidemia which composition interferes with LDL-C estimation. This study aimed evaluate performance using this new (LDL-S) compared estimated by Friedewald's Martin eq. (LDL-F, LDL-M) FCHL.