Why the study?
In CKD such as IgA nephropathy, CV mortality and morbidity are markedly elevated and LVH is an independent risk factor for CV disease, motivating investigation into the association of LVMI with renal and CV outcomes.
Does increased left ventricular mass index predict cardiovascular and renal outcomes in patients with IgA nephropathy?
Does increased left ventricular mass index predict cardiovascular and renal outcomes in patients with IgA nephropathy?
Increased left ventricular mass index is an independent predictor of progression to end-stage renal disease and major cardiovascular events in patients with IgA nephropathy.
LVMI was associated with renal and CV outcomes in IgAN; leaves open its utility for risk stratification pending prospective trials.
Introduction. In chronic kidney disease (CKD), like in IgA nephropathy (IgAN), cardiovascular (CV) mortality and morbidity are many times higher than in the general population, and left ventricular hypertrophy (LVH) is an independent risk factor for CV disease. This follow-up study investigated the association between left ventricular mass index (LVMI) and renal or cardiovascular outcomes. Methods. We examined 118 IgAN patients. LVMI and LV geometry were investigated using echocardiography. The primary combined endpoints were total mortality, major CV events, and end-stage renal disease. Secondary endpoints, i.e. - cardiovascular or renal endpoints, - were also examined separately. Results. 67% were males, mean age 53.5 ± 13.5. Mean follow-up time: 184 months. LVMI inversely correlated with eGFR (corr. coefficient: -0.365; p < 0.01). We divided the patients into two groups based on the LVMI cut-off suggested by the literature. The presence of LVH caused a worse prognosis in primary (p < 0.001), renal endpoints (p = 0.01), and also in CV endpoints (p = 0.001). The higher LVMI in men significantly worsened the prognosis in all endpoints. Concentric hypertrophy meant a worse prognosis. Independent predictors of LVMI were gender and eGFR in uni- and multivariate regression and hemoglobin levels only in logistic regression. Independent predictors of the primary endpoint were LVMI, eGFR, gender, obesity, HT, DM, and metabolic syndrome in Cox regression analysis. Conclusion. Increased LVMI may predict the progression to end-stage renal disease and CV events in IgAN. Determining LVMI may be a useful parameter not only in CV risk but also in the stratification of renal risk in CKD.
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Sági et al. (2022) studied this question.
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