Proinsulin and IGFBP-1 predicts mortality in an elderly population.

Background: High IGFBP-1 in elderly subjects is related to all-cause and cardiovascular (CV) mortality. We studied the relation of IGFBP-1 to cardiometabolic risk factors and cardiovascular and all-cause mortality, and also the impact of proinsulin and insulin on this association in an unselected elderly primary health care population.

Hypothesis: Our hypothesis was that proinsulin and insulin may have an impact on the association of high IGFBP-1 levels with all-cause and CV-mortality in elderly.

Design, Setting And Participants: A cross-sectional and prospective study was carried out in a rural Swedish population. 851 persons aged 66-81 years were evaluated by medical history, clinical examination, electrocardiography, echocardiography, and fasting plasma samples, and were followed prospectively for up to 12 years.

Results: At baseline, in a multivariate analysis, IGFBP-1 was associated with gender, N-terminal proBNP (NT pro-BNP), blood glucose, body mass index (BMI), insulin and proinsulin, estimated glomerular filtration rate (eGFR) and haemoglobin (Hb). During the follow-up period there were 230 deaths (27%), of which 134 (16%) were due to CV mortality. When divided into tertiles there was a significant difference for CV mortality and all-cause mortality between tertiles of IGFBP-1 and proinsulin. For insulin there was a significant difference only for all-cause mortality. After adjustment for well-known risks factors, proinsulin and IGFBP-1 had significant impact on all-cause mortality but only proinsulin on CV mortality.

Conclusion: Only proinsulin is an independent predictor for both all-cause mortality and CV mortality when comparing IGFBP-1, insulin, and proinsulin as prognostic biomarkers for CV and all-cause mortality in an elderly population.