Literature DB >> 22447875

Proof of concept for the role of glycemic control in the early detection of infections in diabetics.

Taxiarchis Botsis1, Albert M Lai, George Hripcsak, Walter Palmas, Justin B Starren, Gunnar Hartvigsen.   

Abstract

The relationship of infections and glycemic control in diabetes has been previously investigated but no solid findings have been described. Meanwhile, the detection of any infection at the early stages of disease progression, i.e. during the incubation period, is critical. In order to study this topic, we used the infection evidence and the daily glycemic control data of 248 type-2 diabetics who participated in a large telemedicine study. The results showed that morning blood glucose was significantly elevated and that diabetics performed the measurements at a later time when infected. A simple model for predicting the occurrence of infection based on the glycemic control variables showed good performance (sensitivity: 56%, specificity: 92%). A set of variables that synthesize a diabetic's profile could be included in a dedicated model and facilitate the early detection of infections; other aspects, such as continuous self-monitoring and personalized medical records, should be examined in this direction.

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Year:  2012        PMID: 22447875     DOI: 10.1177/1460458211428427

Source DB:  PubMed          Journal:  Health Informatics J        ISSN: 1460-4582            Impact factor:   2.681


  2 in total

1.  A Novel Approach for Continuous Health Status Monitoring and Automatic Detection of Infection Incidences in People With Type 1 Diabetes Using Machine Learning Algorithms (Part 2): A Personalized Digital Infectious Disease Detection Mechanism.

Authors:  Ashenafi Zebene Woldaregay; Ilkka Kalervo Launonen; David Albers; Jorge Igual; Eirik Årsand; Gunnar Hartvigsen
Journal:  J Med Internet Res       Date:  2020-08-12       Impact factor: 5.428

2.  Toward Detecting Infection Incidence in People With Type 1 Diabetes Using Self-Recorded Data (Part 1): A Novel Framework for a Personalized Digital Infectious Disease Detection System.

Authors:  Ashenafi Zebene Woldaregay; Ilkka Kalervo Launonen; Eirik Årsand; David Albers; Anna Holubová; Gunnar Hartvigsen
Journal:  J Med Internet Res       Date:  2020-08-12       Impact factor: 5.428

  2 in total

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