Evidence of non-linearity in the association of glycemic control with influenza/pneumonia mortality: a study of 19000 adults from the US general population

Breitling, Lutz P. (2016) Evidence of non-linearity in the association of glycemic control with influenza/pneumonia mortality: a study of 19000 adults from the US general population. DIABETES-METABOLISM RESEARCH AND REVIEWS, 32 (1). pp. 111-120. ISSN 1520-7560,

Full text not available from this repository. (Request a copy)

Abstract

BackgroundDiabetes is a major public health problem and thought to be a risk factor for infectious diseases, but pertinent epidemiological evidence is limited. This study aimed to analyse the associations of diabetes, disease duration and glycated haemoglobin levels (HbA1c) with infectious diseases mortality in the general population, including the investigation of potential non-linear relationships. MethodsAn observational, prospective study of 19783 subjects included in the Third National Health and Nutrition Examination Survey, representing the adult non-institutionalized population of the United States of America, was conducted. The analysis was done by multiple Cox regression and restricted cubic spline modelling. ResultsSelf-reported diabetes and diabetes duration were not significantly associated with the outcomes. However, there was evidence for a non-linear association of HbA(1c) with mortality from influenza, pneumonia or other acute lower respiratory infections. Spline regression suggested a roughly doubled risk of mortality beyond an HbA(1c) of 6.5% (48mmol/mol) in reference to 5.2% (33mmol/mol). ConclusionsFuture studies on diabetes and infections should adequately address potential non-linearity, which may be necessary to better understand and characterize more precisely the relationship of diabetes with infectious diseases. Copyright (c) 2015 John Wiley & Sons, Ltd.

Item Type: Article
Uncontrolled Keywords: COMMUNITY-ACQUIRED PNEUMONIA; DIABETES-MELLITUS; RISK-FACTORS; HOSPITALIZATION; EPIDEMIOLOGY; HYPERGLYCEMIA; INFECTION; HEALTH; IMPACT; COHORT; glycated haemoglobin; impaired glucose tolerance; infectiology; CDC; NHANES; dose-response; non-linearity
Subjects: 600 Technology > 610 Medical sciences Medicine
Divisions: Medicine > Lehrstuhl für Innere Medizin I
Depositing User: Dr. Gernot Deinzer
Date Deposited: 01 Mar 2019 12:36
Last Modified: 07 Mar 2019 09:45
URI: https://pred.uni-regensburg.de/id/eprint/2224

Actions (login required)

View Item View Item