Publications by authors named "Alejandro Campos Munoz"
Aging is believed to occur across multiple domains, one of which is body composition; however, attempts to integrate it into biological age (BA) have been limited. Here, we consider the sex-dependent role of anthropometry for the prediction of 10-year all-cause mortality using data from 18,794 NHANES participants to generate and validate a new BA metric. Our data-driven approach pointed to sex-specific contributors for BA estimation: WHtR, arm and thigh circumferences for men; weight, WHtR, thigh circumference, subscapular and triceps skinfolds for women.
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- - The study explores the connection between insulin resistance, measured via estimated glucose disposal rate (eGDR), and chronic complications in individuals with type 1 diabetes (T1D), indicating that insulin resistance plays a significant role in these complications.
- - Researchers analyzed data from 70 T1D patients, finding that 30% had metabolic syndrome (MS), with those having MS showing lower eGDR levels compared to those without.
- - The results demonstrated that eGDR effectively distinguishes between patients with and without diabetic complications such as nephropathy, retinopathy, and neuropathy, suggesting its potential for use in routine diabetes care despite the need for more diverse studies.
Objective: To examine the performance and agreement of 5 modalities for testing sensory neuropathy against a neurothesiometer among Hispanic patients with type 1 diabetes (T1D) in an outpatient setting.
Methods: A cross-sectional study was conducted at a tertiary reference center in Mexico City. Sensitivity, specificity, predictive values, and likelihood ratios were calculated using a VibraTip device, 128 Hz tuning fork, and the Semmes-Weinstein 5.
Adaptive Metabolic and Inflammatory Responses Identified Using Accelerated Aging Metrics Are Linked to Adverse Outcomes in Severe SARS-CoV-2 Infection.
J Gerontol A Biol Sci Med Sci
July 2021
Article Synopsis
- The study investigates how aging metrics PhenoAge and PhenoAgeAccel can better predict negative outcomes in COVID-19 patients compared to just using chronological age (CA).
- In a cohort of over 1,000 patients, researchers found that PhenoAge was more accurate in predicting severe illness and death, especially highlighting different aging-related responses in patients.
- The findings show that those with higher PhenoAgeAccel scores faced greater risks, and four distinct adaptive responses to SARS-CoV-2 infection were identified, suggesting a link between accelerated aging and poor COVID-19 outcomes.
Introduction: Diabetes and hyperglycemia are risk factors for critical COVID-19 outcomes; however, the impact of pre-diabetes and previously unidentified cases of diabetes remains undefined. Here, we profiled hospitalized patients with undiagnosed type 2 diabetes and pre-diabetes to evaluate its impact on adverse COVID-19 outcomes. We also explored the role of de novo and intrahospital hyperglycemia in mediating critical COVID-19 outcomes.
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