author        = "Alda Lozano, Alicia and Garcés Horna, Vanesa",
      title         = "{Análisis del índice Triglicéridos/Glucosa en una
                       muestra de pacientes ingresados por descompensación de
                       insuficiencia cardíaca}",
      year          = "2018",
      note          = "Introduction:  Heart Failure (HF) is a health public
                       problem, and its prevalence is around 1-2% in developed
                       countries. It has a high mortality rate despite therapeutic
                       developments. Many biomarkers, which have prognostic and
                       therapeutic usefulness, have been studied in HF. The B type
                       natriuretic peptide (BNP) has the mayor clinically
                       significance. Then, there are many other biomarkers with
                       potential physiopathological usefulness, but they have
                       little practical application, so that new biomarkers are
                       still needed to help in the management of HF. Diabetes and
                       insulin resistance are risk factor independent for
                       development of HF.  Several new methods for measuring
                       insulin resistance are been developed, one of them is the
                       Triglycerides-Glucose index.  Hypothesis: DM and insulin
                       resistance have a high prevalence in patients with HF, so
                       we hypothesized whether the TyG index could be used as a
                       prognostic marker in patients with HF. Objective: Calculate
                       the TyG index in a cohort of patients with HF. And then
                       valuate the potential association between TyG index and HF.
                        Material and methods: Observational and retrospective
                       study, constituted by a sample of 278 patients who had
                       suffered an episode of HF decompensation due to it, they
                       had admitted to the Internal Medicine service of HCU Lozano
                       Blesa from 2010 to February 2018. Several baseline
                       variables of the patients were analyzed. Then, a follow-up
                       was carried out with a control at month and year of the
                       first episode of decompensation. We relate the TyG index
                       with the risk of death and decompensation during the period
                       of time analyzed. Results: The TyG index was calculated,
                       obtaining an average value of 8.56 ± 0.57. The differences
                       which we found, weren’t statistically significant neither
                       according to sex nor according to EF. On the other hand,
                       the differences found in the percentage of death per month
                       were significant, being higher in patients with lower
                       values (p: 0.045). In the analysis of survival, a greater
                       survival was observed in a significant way in the group
                       with higher levels (log-rank: 0.035). Discussion: The
                       results which we had obtained can be explained with the
                       obesity paradox, in the setting of chronic HF, overweight
                       and mild to moderate obesity is associated with
                       substantially improved survival compared to normal-weight
                       patients. Conclusion: The TyG index is a subrogated marker
                       of insulin resistance that has been found to be highest in
                       individuals with diabetes and obesity. In the sample
                       studied, it was observed that those patients with higher
                       values had a lower rate of death at one month and a higher
                       survival during one year of follow-up.  It seems convenient
                       given the simplicity for its calculation in continuing to
                       investigate its potential value as a biomarker in HF, as
                       well as to analyze whether variations in its value provide
                       more prognostic information.",