@article{AldaLozano:111107,
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.",
}