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Proinsulin and IGFBP-1 predicts mortality in an elderly population
Linköping University, Department of Clinical and Experimental Medicine, Division of Cell Biology. Linköping University, Faculty of Health Sciences. Östergötlands Läns Landsting, Local Health Care Services in Central Östergötland, Department of Acute Health Care in Linköping.
Linköping University, Department of Medical and Health Sciences, Division of Cardiovascular Medicine. Linköping University, Faculty of Health Sciences. Östergötlands Läns Landsting, Heart and Medicine Center, Department of Cardiology in Linköping.ORCID iD: 0000-0001-6353-8041
Linköping University, Department of Clinical and Experimental Medicine, Division of Cell Biology. Linköping University, Faculty of Health Sciences. Östergötlands Läns Landsting, Heart and Medicine Center, Department of Endocrinology.
Linköping University, Department of Medical and Health Sciences, Division of Cardiovascular Medicine. Linköping University, Faculty of Health Sciences. Östergötlands Läns Landsting, Heart and Medicine Center, Department of Cardiology in Linköping.
2014 (English)In: International Journal of Cardiology, ISSN 0167-5273, E-ISSN 1874-1754, Vol. 174, no 2, 260-267 p.Article in journal (Refereed) Published
Abstract [en]

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.

Place, publisher, year, edition, pages
Elsevier, 2014. Vol. 174, no 2, 260-267 p.
Keyword [en]
Insulin-like growth factor binding protein-1, Proinsulin, Insulin, Elderly population
National Category
Medical and Health Sciences
Identifiers
URN: urn:nbn:se:liu:diva-108157DOI: 10.1016/j.ijcard.2014.03.171ISI: 000336528000029PubMedID: 24794551OAI: oai:DiVA.org:liu-108157DiVA: diva2:729634
Available from: 2014-06-26 Created: 2014-06-26 Last updated: 2017-12-05Bibliographically approved

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Chisalita, Ioana SimonaDahlström, UlfArnqvist, HansAlehagen, Urban

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Division of Cell BiologyFaculty of Health SciencesDepartment of Acute Health Care in LinköpingDivision of Cardiovascular MedicineDepartment of Cardiology in LinköpingDepartment of Endocrinology
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