Insulin resistance potentiates the effect of remnant cholesterol on cardiovascular mortality in individuals without diabetes.

BACKGROUND AND AIMS: Remnant cholesterol (RC) and insulin resistance (IR) have been independently associated with cardiovascular risk. Here, we evaluated the role of IR and RC on cardiovascular disease (CVD) mortality. METHODS: We conducted an analysis of 16,113 individuals ≥20 years without diabetes from the National Health and Nutrition Examination Survey (NHANES-III/IV). RC levels were calculated using total cholesterol, non-HDL-c, and LDL-c; IR was defined as HOMA2-IR≥2.5 and CVD mortality as a composite of cardiovascular and cerebrovascular mortality. Multiple linear regression was used to assess the relationship between HOMA2-IR and RC and Cox regression models to assess their joint role in CVD mortality. Causally ordered mediation models were used to explore the mediating role of IR in RC-associated CVD mortality. RESULTS: We identified an association between higher HOMA2-IR and higher RC levels. The effect of IR on CVD mortality was predominant (HR 1.32, 95%CI 1.18-1.48) and decreased at older ages (HR 0.934, 95%CI 0.918-0.959) compared to RC (HR 0.983, 95%CI 0.952-1.014). Higher risk of CVD mortality was observed in individuals with IR but normal RC (HR 1.37, 95%CI 1.25-1.50) and subjects with IR and high RC (HR 1.24, 95%CI 1.13-1.37), but not in subjects without IR but high RC. In mediation models, HOMA2-IR accounted for 78.2% (95%CI 28.11-98.89) of the effect of RC levels on CVD mortality. CONCLUSIONS: Our findings suggest that RC potentiates the risk of CVD mortality through its effect on whole-body insulin sensitivity, particularly among younger individuals.

A systematic review of biobanks in Latin America: Strengths and limitations for biomedical research.

Biobanks are valuable tools for developing and applying scientific research and international cooperation through the collection of biological materials and their associated data. Systematic research following the Preferred Reporting Items for Systematic Review and Meta-Analysis guidelines was conducted in late 2022 in PubMed and Scopus, and generated 17 articles to be reviewed in depth and critically assessed using the Critical Appraisal Skills Programme Checklist due to the limited available data; 12 relevant health organizations and government websites outside of peer-reviewed journals were also included. Our research identified 44 biobanks in Latin America. In general, there is a lack of regulation and legislation guaranteeing the stored materials' quality and institutional collaboration. We believe a consensus needs to be reached regarding the terminology and definitions used for biobanks. The design for informed consent should also be agreed upon to ensure the privacy of the data shared among institutions. In conclusion, in Latin America, there is a clear need for government support in creating specific procedures for biobanks and providing further support for existing biobanks.

Personalized Versus Non-personalized Nutritional Recommendations/Interventions for Type 2 Diabetes Mellitus Remission: A Narrative Review.

It is a well-evidenced fact that diet significantly impacts type 2 diabetes mellitus (T2DM) prevention and management. However, dietary responses vary among different populations, necessitating personalized recommendations. Substantial evidence supports the role of diet in T2DM remission, particularly low-energy or low-carbohydrate diets that facilitate weight loss, enhance glycemic control, and achieve remission. This review aims to comprehensively analyze and compare personalized nutritional interventions with non-personalized approaches in T2DM remission. We conducted a literature search using the Academy of Nutrition and Dietetics guidelines, focusing on clinical and observational trials published within the past decade. We present the strengths and drawbacks of incorporating personalized nutrition into practice, along with the areas for research in implementing personalized interventions, such as cost-effectiveness and accessibility. The findings reveal consistently higher diabetes remission rates in personalized nutrition studies compared to non-personalized interventions.

De-escalating treatment indications for patients who achieve metabolic goals.

INTRODUCTION: Robust evidence exists regarding initiation, intensification or modification of treatments. Recommendations to de-escalate therapy are lacking, specifically in diabetes. A successful treatment de-intensification reduces overtreatment, polypharmacy, and risk of adverse effects. OBJECTIVE: To encompass current recommendations for deprescribing common drugs and create a consensus among health professionals. METHODS: We reviewed four databases for deprescribing approaches published between 2010 and 2022. Articles were divided into different groups of drugs (for uric-acid, hypoglycemic, lipid-lowering, and psychotropic drugs). RESULTS: Hypoglycemic agents: strategies were limited to newer agents and insulin regimens for elderly individuals. Reducing insulin was associated with 1.1% reduction of A1c over time. SGLT2i and GLP-1RAs dose reduction depends on adverse events. Lipid-lowering agents: studies show that patients with very low cholesterol have fewer cardiovascular events without associated increased risk. Antihypertensive agents: Younger patients, lower systolic blood pressure, and few comorbidities are ideal characteristics for discontinuation. Uric acid therapy: we found no recommendation for dose de-escalation. Poor treatment adherence is associated with episodes of gout and deforming arthritis in the long term. CONCLUSION: Deprescribing hypoglycemic, statins, antihypertensives, and urate-lowering agents may be feasible in selected patients, but periodic surveillance is important. More evidence is necessary to support this decision entirely.

Role of Presurgical Gut Microbial Diversity in Roux-en-Y Gastric Bypass Weight-Loss Response: A Cohort Study.

INTRODUCTION: Roux-en-Y gastric bypass (RYGB) substantially alters the gut microbial composition which could be associated with the metabolic improvements seen after surgery. Few studies have been conducted in Latin American populations, such as Mexico, where obesity prevalence is above 30% in the adult population. Thus, the aim of this study was to characterize the changes in the gut microbiota structure in a Mexican cohort before and after RYGB and to explore whether surgery-related changes in the microbial community were associated with weight loss. METHODS: Biological samples from patients who underwent RYGB were examined before and 12 months after surgery. Fecal microbiota characterization was performed through 16S rRNA sequencing. RESULTS: Twenty patients who underwent RYGB showed a median excess weight loss of 66.8% 12 months after surgery. Surgery increased alpha diversity estimates (Chao, Shannon index, and observed operational taxonomic units, p < 0.05) and significantly altered gut microbiota composition. Abundance of four genera was significantly increased after surgery: Oscillospira, Veillonella, Streptococcus, and an unclassified genus from Enterobacteriaceae family (PFDR < 0.1). The change in Veillonella abundance was associated with lower excess weight loss (rho = -0.446, p = 0.063) and its abundance post-surgery with a greater BMI (rho = 0.732, p = 5.4 × 10-4). In subjects without type 2 diabetes, lower bacterial richness and diversity before surgery were associated with a greater Veillonella increase after surgery (p < 0.05), suggesting that a lower bacterial richness before surgery could favor the bloom of certain oral-derived bacteria that could negatively impact weight loss. CONCLUSION: Presurgical microbiota profile may favor certain bacterial changes associated with less successful results.

Associated factors to the consumption of non-nutritive sweeteners in the Mexican adult population.

OBJECTIVE: To identify the associated factors to the consumption of non-nutritive sweeteners (NNS) in the Mexican adult population since its consumption has increased exponentially worldwide. MATERIALS AND METHODS: An online survey was applied to 5 038 Mexican adults to evaluate the frequency of NNS consumption and classify the population in tertiles. The sociodemographic, lifestyle and health status characteristics of the participants were compared by gradient of NNS consumption, and a multiple linear regression analysis was performed to determine the associated factors to the NNS consumption. RESULTS: The variables that showed a positive association (p≤0.01) with the consumption of NNS were economic income, BMI, smoking, physical activity, diet quality, the presence of chronic diseases (diabetes, hypertension, or dyslipidemias), and the consumption of fruit. The age and the consumption of confectionery and sugar-sweetened beverages were negatively associated (p<0.01) with the consumption of NNS. CONCLUSION: The results of this study help to characterize the target population that is a consumer of NNS since it is recommended not encourage the preference for sweet taste and to promote a decrease in the consumption of both caloric and NNS, preferring the natural flavor of food.

Prevalencia de prediabetes y diabetes en México: Ensanut 2022.

OBJETIVO: Estimar la prevalencia de prediabetes y diabetes en la población adulta mexicana. Material y métodos. Se utilizó información de la submuestra de adultos de la Encuesta Nacional de Salud y Nutrición 2022 con una muestra de sangre de 10 ml. Se excluyeron 150 individuos con ayuno menor a 8 horas y cuatro personas con diabetes gestacional. La muestra final fue de 1 945 adultos que expande a 78.3 millones de adultos. RESULTADOS: La prevalencia de prediabetes fue de 22.1%, y de diabetes diagnosticada y no diagnosticada de 12.6 y 5.8%, respectivamente, lo que resulta en una prevalencia de diabetes total de 18.3%. Conclusión. La diabetes en México es muy prevalente e implica un reto importante para el sistema de salud. Se requieren acciones contundentes para prevenir la enfermedad, mejorar el tamizaje, el diagnóstico oportuno y el control de la enfermedad.

Performance of the enhanced Sampson-NIH equation for VLDL-C and LDL-C in a population with familial combined hyperlipidemia.

INTRODUCTION: Low-density cholesterol (LDL-C) has long been estimated by the Friedewald formula (F-LDL-C); however, this method underestimates LDL-C in patients with hypertriglyceridemia (HTG) or low LDL-C levels. The Martin (M-LDL-C) and Sampson (S-LDL-C) formulas partially resolve these limitations. Recently, Sampson et al. developed a new equation (eS-VLDL-C) that includes ApoB. This new equation could be particularly useful in FCHL, which is characterized by the predominance of triglyceride-rich VLDL and a discordance between LDL-C and ApoB. METHODS: Very low-density lipoproteins (VLDL-C) was measured in 336 patients with FCHL by sequential ultracentrifugation. LDL-C was estimated by subtracting VLDL-C, estimated by the different equations, from non-HDL cholesterol. Spearman correlations, R2, mean squared error (RMSE), and bias were used to compare the accuracy of the different equations. Concordance of the estimated LDL-C values with LDL-C thresholds and ApoB was also assessed by their kappa coefficients and ROC analysis. RESULTS: Overall population had a mean age of 47 years, and 61.5% were women. 19.5% had type 2 diabetes, hypertension was present in 20.8%, and only 12.2% were on statin treatment. Both S-LDL-C and eS-LDL-C performed similarly, and better than M-LDL-C and F-LDL-C. In Bland-Altman analysis, eS-LDL-C showed the lowest bias, better performance in HTG, and better concordance with LDL-C treatment goals compared to other formulas (e.g. ρ: 0.87, 95% CI 0.84-0.89). CONCLUSIONS: LDL-S and LDL-eS equations estimate the concentration of LDL-C with greater accuracy than other formulas. The LDL-eS has best performance in estimating LDL-C with lower RMSE than other formulas.

Stratification in Heterozygous Familial Hypercholesterolemia: Imaging, Biomarkers, and Genetic Testing.

PURPOSE OF REVIEW: Heterozygous familial hypercholesterolemia (HeFH) is the most common monogenic autosomal dominant disorder. However, the condition is often underdiagnosed and undertreated. The objective of this review is to provide an update on the risk stratification in patients with HeFH, incorporating new cardiovascular imaging techniques, various biomarkers, and genetic studies. RECENT FINDINGS: The diagnosis of HeFH places patients in a high cardiovascular risk category due to the increased incidence of premature atherosclerotic cardiovascular disease. However, the level of risk varies significantly among different individuals with HeFH. Achieving an optimal stratification of cardiovascular risk is crucial for establishing appropriate and accurate treatment and management strategies. Different new tools such as risk scores have emerged in recent years, aiding physicians in assessing the risk stratification for HeFH using imaging, biomarkers, and genetics. This review emphasizes that not all patients with HeFH face the same cardiovascular risk. By utilizing different assessment tools, we can identify those who require more intensive monitoring, follow-up, and treatment.

Effect of a monitored exercise protocol in cerebral and hepatic hemodynamics in patients with cirrhosis and portal hypertension.

BACKGROUND: Physical exercise (PE) has been proven to be beneficial in patients with cirrhosis; effects in cognitive function and cerebral hemodynamics, are yet to be explored. AIM: To evaluate the effects of a PE program (LFN-exercise protocol) in hepatic/cerebral hemodynamics. METHODS: Randomized open clinical trial in patients with cirrhosis; Control: Diet(n = 13),Intervention: Diet + exercise(n = 14) for 12 weeks. Patients received an educational session, mental exercises (printed book and sudoku), and high-protein diet. Exercise intervention consisted of walking 4 times/week with an intensity rated between 12 and 14 on the Borg scale, monitored through bracelet accelerometers. Patients received weekly text messages to encourage adherence and had monthly in-person visits. RESULTS: Patients were mainly Child-Pugh A(88.9 %), median MELD 8(8-10), mean age 53±8 years. In the exercise group the number of steps increased from 9667±3008 to 11,931±4463 (p = 0.002), vs 8004±3224 to 8903±3504 (p = 0.053) in controls. Exercise decreased HVPG from 11(8-14) to 8(6-11)mmHg (p = 0.032) vs no change in the control group from 14(12-16) to 15(11-17)mmHg (p = 0.959). Intervention group showed better cerebral hemodynamics, cognitive function, nutritional status and quality of life after the intervention. Adherence was >90 %, with no adverse events. CONCLUSION: The LFN-exercise protocol improves portal hypertension, cerebral hemodynamics and cognitive function, as well as nutritional status and quality of life. GOV NUMBER: NCT03932552.

The case for precision medicine in the prevention, diagnosis, and treatment of cardiometabolic diseases in low-income and middle-income countries.

Cardiometabolic diseases are the leading preventable causes of death in most geographies. The causes, clinical presentations, and pathogenesis of cardiometabolic diseases vary greatly worldwide, as do the resources and strategies needed to prevent and treat them. Therefore, there is no single solution and health care should be optimised, if not to the individual (ie, personalised health care), then at least to population subgroups (ie, precision medicine). This optimisation should involve tailoring health care to individual disease characteristics according to ethnicity, biology, behaviour, environment, and subjective person-level characteristics. The capacity and availability of local resources and infrastructures should also be considered. Evidence needed for equitable precision medicine cannot be generated without adequate data from all target populations, and the idea that research done in high-income countries will transfer adequately to low-income and middle-income countries (LMICs) is problematic, as many migration studies and transethnic comparisons have shown. However, most data for precision medicine research are derived from people of European ancestry living in high-income countries. In this Series paper, we discuss the case for precision medicine for cardiometabolic diseases in LMICs, the barriers and enablers, and key considerations for implementation. We focus on three propositions: first, failure to explore and implement precision medicine for cardiometabolic disease in LMICs will enhance global health disparities. Second, some LMICs might already be placed to implement cardiometabolic precision medicine under appropriate circumstances, owing to progress made in treating infectious diseases. Third, improvements in population health from precision medicine are most probably asymptotic; the greatest gains are more likely to be obtained in countries where health-care systems are less developed. We outline key recommendations for implementation of precision medicine approaches in LMICs.

The Trend in the Prevalence of Diabetes Mellitus in the Mexican Indigenous Population From 2000 to 2018.

Introduction: Diabetes is a worldwide public health problem. In Mexico, diabetes was the third leading cause of death in the total population in 2020. The indigenous people in Mexico are approximately 6%. This study aims to estimate the trends in diabetes prevalence from 2000 to 2018 in the group of Mexican indigenous language speakers and to analyze the main sociodemographic (e.g., age, educational and socioeconomic level, and the urbanicity of the area of residence) and clinical (e.g., age of diabetes onset, years with diabetes, and BMI) characteristics of this group. Methods: This cross-sectional study included participants aged ≥20 years from 4 National Health Surveys, 2000-2018. We presented the analyses for indigenous and nonindigenous strata. Logistic models adjusted were used to estimate the trend of diabetes in the study period. Results: We found a significant increase in the prevalence of diabetes in the indigenous group. This trend in the ORs was maintained when adjusting for age, sex, waist circumference, and area of residence. For the study period, the prevalence change in diagnosed diabetes in the indigenous group was greater than that in the nonindigenous group (OR=6.4, 95% CI=4.1, 8.8 and OR=3.3, 95% CI=2.5, 4.1, respectively). We also found a significant prevalence change in undiagnosed diabetes for the indigenous group (OR=7.7, 95% CI=1.3, 14.6). Conclusions: In contrast to the results in nonindigenous populations, our main result reveals an increasing probability of being diabetic in the indigenous population from 2006 to 2018. It is necessary to clarify the origin of the accelerated change in diabetes prevalence among the indigenous population in Mexico.

Mexican Biobank advances population and medical genomics of diverse ancestries.

Latin America continues to be severely underrepresented in genomics research, and fine-scale genetic histories and complex trait architectures remain hidden owing to insufficient data1. To fill this gap, the Mexican Biobank project genotyped 6,057 individuals from 898 rural and urban localities across all 32 states in Mexico at a resolution of 1.8 million genome-wide markers with linked complex trait and disease information creating a valuable nationwide genotype-phenotype database. Here, using ancestry deconvolution and inference of identity-by-descent segments, we inferred ancestral population sizes across Mesoamerican regions over time, unravelling Indigenous, colonial and postcolonial demographic dynamics2-6. We observed variation in runs of homozygosity among genomic regions with different ancestries reflecting distinct demographic histories and, in turn, different distributions of rare deleterious variants. We conducted genome-wide association studies (GWAS) for 22 complex traits and found that several traits are better predicted using the Mexican Biobank GWAS compared to the UK Biobank GWAS7,8. We identified genetic and environmental factors associating with trait variation, such as the length of the genome in runs of homozygosity as a predictor for body mass index, triglycerides, glucose and height. This study provides insights into the genetic histories of individuals in Mexico and dissects their complex trait architectures, both crucial for making precision and preventive medicine initiatives accessible worldwide.

HDL abnormalities in type 2 diabetes: Clinical implications.

Atherosclerotic cardiovascular disease (ASCVD) represents the primary cause of mortality among patients with Type 2 Diabetes Mellitus (T2DM). In this population, High-Density Lipoprotein (HDL) particles exhibit abnormalities in number, composition, and function, culminating in diminished anti-atherosclerotic capabilities despite normal HDL cholesterol (HDL-C) concentrations. Hyperglycemic conditions contribute to these alterations in HDL kinetics, composition, and function, causing T2DM patients' HDL particles to exhibit decreased concentrations of diverse lipid species and proteins. Treatment of hyperglycemia has the potential to correct abnormal HDL particle attributes in T2DM; however, pharmacological interventions, including metformin and thiazolidinediones, yield inconsistent outcomes with respect to HDL-C concentrations and functionality. Despite numerous attempts with diverse drugs, pharmacologically augmenting HDL-C levels has not resulted in clinical benefits in mitigating ASCVD risk. In contrast, reducing Low Density Lipoprotein cholesterol (LDL-C) via statins and ezetimibe has demonstrated significant efficacy in curtailing CVD risk among T2DM individuals. Promising results have been observed in animal models and early-phase trials utilizing recombinant HDL and Lecitin Cholesterol Acyl Transferase (LCAT) -enhancing agents, but the evaluation of their efficacy and safety in large-scale clinical trials is ongoing. While aberrant HDL metabolism constitutes a prevalent aspect of dyslipidemia in T2DM, HDL cholesterol concentrations and composition no longer offer valuable insights for informing therapeutic decisions. Nevertheless, HDL metabolism remains a critical research area in T2DM, necessitating further investigation to elucidate the role of HDL particles in the development of diabetes-associated complications.

The role of SLC16A11 variations in diabetes mellitus.

PURPOSE OF REVIEW: The aim of this study was to summarize the existing evidence that proves the association between an ethnic-specific SLC16A11 risk haplotype and type 2 diabetes found in the Latin American population. RECENT FINDINGS: The association has been replicated in consortia studies, especially in early-onset type 2 diabetes. No association has been found with gestational diabetes. Mild obesity-related diabetes is the most common T2D subphenotype found in patients with the risk haplotype. The SLC16A11 risk haplotype is associated with decreased insulin action, higher acute insulin secretory response to an intravenous glucose bolus and higher serum alanine aminotransferase levels. SUMMARY: The study of underrepresented populations in large genomic databases is a valuable resource to gain new knowledge about the pathophysiology of complex traits, especially if these groups have suffered repeated selection process caused by famine, migrations and war. This is the case of diabetes, obesity and lipid disorders in Latin American countries. Here, we summarize the existing evidence of a proof-of concept finding: the association between the SLC16A11 ethnic-specific risk haplotype and T2D.

Safety and Tolerability of Six Months of Isoniazid Plus Pyridoxine or Three Months of Rifampicin for Tuberculosis among Subjects with Diabetes Mellitus: A Randomized Trial.

Tuberculosis (TB) associated with diabetes mellitus (DM) is a growing problem, particularly in low- and medium-resource countries. We conducted an open-label, parallel-group, randomized, and controlled trial in a tertiary care center in Mexico City to assess TB preventive treatment (TPT) with isoniazid (INH) or rifampicin (RIF) in people with type 2 DM. Participants were assigned six months of INH 300 mg/day plus pyridoxine 75 mg or three months of RIF 600 mg/day. The primary outcomes were adverse events resulting in permanent treatment cessation and considered possibly or probably related to study drugs. We included 130 subjects, 68 randomized to INH and 62 to RIF. We prematurely halted the study based on recommendations of the Adverse Event Safety Panel. There was no difference between arms in the overall frequency of adverse events. However, the INH group had significantly more permanent treatment interruptions due to grade 2 recurrent or grade 3 or 4 hepatoxicity. In comparison, the RIF arm had more treatment interruptions due to grade 3 or 4 gastrointestinal intolerance. TPT using INH or RIF is not safe enough to be considered a universal indication to patients with type 2 DM and TB infection. These results underline the need to search for alternative TB preventions with better safety profiles for type 2 DM patients.

Phase Angle as a Potential Screening Tool in Adults with Metabolic Diseases in Clinical Practice: A Systematic Review.

BACKGROUND: Phase angle (PhA) has been used as mortality prognostic, but there are no studies about its possible use as a screening tool. Therefore, an assessment of the possible utility of PhA in clinical practice is required. The aim of this systematic review was to explore all recent available evidence of PhA, and its possible utility as a screening tool in clinical practice in subjects with chronic metabolic diseases. MATERIALS AND METHODS: This systematic review was performed and written as stated in the PRISMA 2020 guidelines. The search was conducted in PubMed, ScienceDirect and SciElo. In order to be considered eligible, within the entire search, only articles involving PhA and their utility in metabolic diseases were included. RESULTS: PhA was associated with hyperuricemia and vitamin D deficiency in obese subjects, and decreased cardiovascular risk and malnutrition in hospitalized patients. CONCLUSION: PhA may be a potential screening tool in clinical practice to evaluate different biomarkers, cardiovascular risk, and nutritional diagnosis in metabolic diseases in adults.

Validity and reliability of simple surrogate indexes to evaluate beta-cell function and insulin sensitivity

BACKGROUND: Simple surrogate indexes (SSI) to assess beta-cell function, insulin sensitivity (IS) and insulin resistance (IR) are an easy and economic tool used in clinical practice to identify glucose metabolism disturbances. AIM: To evaluate the validity and reliability of SSI that estimate beta-cell function, IS and IR using as a reference the parameters obtained from the frequently sampled intravenous glucose tolerance test (FSIVGTT). MATERIAL AND METHODS: We included 62 subjects aged 20-45 years, with a normal body mass index and without diabetes or prediabetes. SSI were compared with the acute insulin response to glucose (AIRg), insulin sensitivity index (Si) and disposition index (DI) obtained from the FSIVGTT using the minimal model approach. Half of the participants (n = 31) were randomly selected for a second visit two weeks later to evaluate the reliability of all the variables. RESULTS: HOMA1-%B and HOMA2-%B had a significant correlation with AIRg (Spearman Rho (rs) = 0.33 and 0.37 respectively, p 0.50) with Si were fasting insulin, HOMA1-IR, HOMA2-IR, HOMA1-%S, HOMA2-%S, QUICKI, and the McAuley index. The parameters that showed good reliability with an intraclass correlation coefficient (ICC) > 0.75 were AIRg, HOMA1-%S, HOMA2-%S, and QUICKI. Conclusions: Our results suggest that most of the SSI are useful and reliable.

ANTECEDENTES: Los índices simples subrogados (ISS) que evalúan la función de célula beta, sensibilidad a la insulina (SI) y resistencia a la insulina (RI) son herramientas sencillas y económicas que se usan en la práctica clínica para identificar alteraciones del metabolismo de la glucosa. OBJETIVO: Evaluar la validez y confiabilidad de ISS para estimar la función de célula beta, SI y RI usando como referencia los parámetros de la prueba de tolerancia a la glucosa intravenosa con muestreo frecuente (FSIVGTT). MATERIAL Y MÉTODOS: Se incluyeron 62 sujetos de 20-45 años, con índice de masa corporal normal y sin diabetes mellitus o prediabetes. Los ISS se compararon con la respuesta aguda de la insulina a la glucosa (AIRg), índice de sensibilidad a la insulina (Si) e índice de disposición (DI) obtenidos de la FSIVGTT en base al modelo mínimo. La mitad de los participantes (n = 31) se seleccionaron aleatoriamente para acudir dos semanas después y evaluar la confiabilidad de todas las variables. RESULTADOS: HOMA1-%B y HOMA2-%B presentaron una correlación significativa con AIRg (Rho de Spearman (rs) = 0,33 and 0,37, respectivamente, p 0,50) con Si fueron insulina en ayuno, HOMA1-IR, HOMA2-IR, HOMA1-%S, HOMA2-%S, QUICKI y el índice de McAuley. Los parámetros que tuvieron buena confiabilidad (coeficiente de correlación intraclase > 0,75) fueron AIRg, HOMA1-%S, HOMA2-%S y QUICKI. Conclusiones: La mayoría de los ISS son instrumentos útiles y confiables.

Characterization of data-driven clusters in diabetes-free adults and their utility for risk stratification of type 2 diabetes.

BACKGROUND: The prevention of type 2 diabetes is challenging due to the variable effects of risk factors at an individual level. Data-driven methods could be useful to detect more homogeneous groups based on risk factor variability. The aim of this study was to derive characteristic phenotypes using cluster analysis of common risk factors and to assess their utility to stratify the risk of type 2 diabetes. METHODS: Data on 7317 diabetes-free adults from Sweden were used in the main analysis and on 2332 diabetes-free adults from Mexico for external validation. Clusters were based on sex, family history of diabetes, educational attainment, fasting blood glucose and insulin levels, estimated insulin resistance and ß-cell function, systolic and diastolic blood pressure, and BMI. The risk of type 2 diabetes was assessed using Cox proportional hazards models. The predictive accuracy and long-term stability of the clusters were then compared to different definitions of prediabetes. RESULTS: Six risk phenotypes were identified independently in both cohorts: very low-risk (VLR), low-risk low ß-cell function (LRLB), low-risk high ß-cell function (LRHB), high-risk high blood pressure (HRHBP), high-risk ß-cell failure (HRBF), and high-risk insulin-resistant (HRIR). Compared to the LRHB cluster, the VLR and LRLB clusters showed a lower risk, while the HRHBP, HRBF, and HRIR clusters showed a higher risk of developing type 2 diabetes. The high-risk clusters, as a group, had a better predictive accuracy than prediabetes and adequate stability after 20 years. CONCLUSIONS: Phenotypes derived using cluster analysis were useful in stratifying the risk of type 2 diabetes among diabetes-free adults in two independent cohorts. These results could be used to develop more precise public health interventions.