Bacterial infections in patients with type 1 diabetes: a 14-year follow-up study.

BMJ Open Diabetes Res Care

Folkhälsan Institute of Genetics, Folkhälsan Research Center, Biomedicum Helsinki , Helsinki , Finland ; Division of Nephrology, Department of Medicine , Helsinki University Central Hospital , Helsinki , Finland ; Research Program Unit, Department of Diabetes and Obesity , University of Helsinki, Helsinki , Finland.

Published: March 2015

Objective: This study explored the annual occurrence/incidence of bacterial infections, and their association with chronic hyperglycemia and diabetic nephropathy, in patients with type 1 diabetes.

Design: In a register-based follow-up study, we investigated the frequency of bacterial infections in patients with type 1 diabetes (n=4748) and age-matched and sex-matched non-diabetic control (NDC) subjects (n=12 954) using nationwide register data on antibiotic drug prescription purchases and hospital discharge diagnoses, collected between 1996 and 2009. Diabetic nephropathy was classified based on the urinary albumin excretion rate (AER).

Results: The hospitalization rate due to bacterial infections was higher in patients with diabetes compared with NDCs (rate ratio (RR) 2.30 (95% CI 2.11 to 2.51)). The rate correlated with the severity of diabetic nephropathy: RR for microalbuminuria was 1.23 (0.94 to 1.60), 1.97 (1.49 to 2.61) for macroalbuminuria, 11.2 (8.1 to 15.5) for dialysis, and 6.72 (4.92 to 9.18) for kidney transplant as compared to patients with diabetes and normal AER. The annual number of antibiotic purchases was higher in patients with diabetes (1.00 (1.00 to 1.01)) as compared with NDCs (0.47 (0.46 to 0.47)), RR=1.71 (1.65 to 1.77). Annual antibiotic purchases were 1.18-fold more frequent in patients with microalbuminuria, 1.29-fold with macroalbuminuria, 2.43-fold with dialysis, and 2.74-fold with kidney transplant as compared to patients with normal AER. Each unit of increase in glycated hemoglobin was associated with a 6-10% increase in the number of annual antibiotic purchases.

Conclusions: The incidence of bacterial infections was significantly higher in patients with type 1 diabetes compared with age-matched and sex-matched NDC subjects, and correlated with the severity of diabetic nephropathy in inpatient and outpatient settings.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4352693PMC
http://dx.doi.org/10.1136/bmjdrc-2014-000067DOI Listing

Publication Analysis

Top Keywords

bacterial infections
20
patients type
16
diabetic nephropathy
16
type diabetes
12
higher patients
12
patients diabetes
12
patients
9
infections patients
8
follow-up study
8
age-matched sex-matched
8

Similar Publications

Enteropathogens are major contributors to mortality and morbidity, particularly in settings with limited access to water, sanitation, and hygiene infrastructure. To assess transmission pathways associated with enteropathogen infection, we measured household environmental conditions and assayed 22 enteropathogens using TaqMan Array Cards in stool samples from 276 six-month-old children living in communities along a rural-urban gradient in Northern Ecuador. We utilized multivariable models, risk factor importance, and distance-based statistical methods to test factors associated with infection.

View Article and Find Full Text PDF

Studying the molecular basis of intestinal infections caused by enteric pathogens at the tissue level is challenging, because most human intestinal infection models have limitations, and results obtained from animals may not reflect the human situation. Infections with Salmonella enterica serovar Typhimurium (STm) have different outcomes between organisms. 3D tissue modeling of primary human material provides alternatives to animal experimentation, but epithelial co-culture with immune cells remains difficult.

View Article and Find Full Text PDF

Background And Aims: A catheter-related bloodstream infection (CRBSI) is a life-threatening complication of hemodialysis. It is responsible for significant morbidity and mortality and a costly long hospital stay. Despite its burden, little is known about the factors associated with it and the antibiogram of its responsible causative bacteria.

View Article and Find Full Text PDF

Shotgun metagenomics offers a broad detection of pathogens for rapid blood stream infection of pathogens but struggles with often low numbers of pathogens combined with high levels of human background DNA in clinical samples. This study aimed to develop a shotgun metagenomics protocol using blood spiked with various bacteria and to assess bacterial DNA extraction efficiency with human DNA depletion. The Blood Pathogen Kit (Molzym) was used to extract DNA from EDTA-whole blood (WB) and plasma samples, using contrived blood specimens spiked with bacteria for shotgun metagenomics diagnostics via Oxford Nanopore sequencing and PCR-based library preparation.

View Article and Find Full Text PDF

An inherently discrete-time model based on the mass action law for a heterogeneous population.

Math Biosci Eng

December 2024

Institute of of Information Technology, Warsaw University of Life Sciences - SGGW, Nowoursynowska 159 Street, building 34, 02-776 Warsaw, Poland.

In this paper, we introduce and analyze a discrete-time model of an epidemic spread in a heterogeneous population. As the heterogeneous population, we define a population in which we have two groups which differ in a risk of getting infected: a low-risk group and a high-risk group. We construct our model without discretization of its continuous-time counterpart, which is not a common approach.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!