Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ ZENODOarrow_drop_down
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Article . 2024
License: CC BY
Data sources: ZENODO
ZENODO
Article . 2024
License: CC BY
Data sources: Datacite
ZENODO
Article . 2024
License: CC BY
Data sources: Datacite
versions View all 2 versions
addClaim

A Retrospective Study of Association of T2DM with Various Infections, in a Tertiary Teaching Hospital in Kolkata

Authors: Sudipto Roy; Amit Karmakar; Nayan Paul; Nabanita Mondol;

A Retrospective Study of Association of T2DM with Various Infections, in a Tertiary Teaching Hospital in Kolkata

Abstract

Introduction: Type 2 diabetes mellitus (T2DM) is a prevalent metabolic disorder that significantly increases the risk of infections due to immune dysfunction and other related factors. This study aims to investigate the association between T2DM and various infections in a tropical tertiary teaching hospital in India, focusing on the prevalence, causative organisms, and outcomes of these infections. Methodology: A retrospective study was conducted using medical records from January 2020 to December 2023. The study included 130 T2DM patients and 130 age- and sex-matched non-diabetic controls. Data on demographic characteristics, clinical parameters, and infection details were extracted and analyzed. Statistical analyses included chi-square tests for prevalence comparison and logistic regression to identify risk factors for infections. Results: The prevalence of infections was significantly higher in T2DM patients compared to non-diabetic controls. UTIs (30.0% vs. 13.8%, p = 0.003), SSTIs (21.5% vs. 8.5%, p = 0.002), and respiratory tract infections (34.6% vs. 16.9%, p = 0.001) were notably more common in T2DM patients. Logistic regression analysis revealed that T2DM (OR: 2.25, 95% CI: 1.54 – 3.30, p = 0.001), higher BMI (OR: 1.11, 95% CI: 1.05 – 1.18, p = 0.001), and hypertension (OR: 1.67, 95% CI: 1.11 – 2.52, p = 0.014) were significant risk factors for infections. T2DM patients had longer hospitalization durations (11.2 ± 4.1 days vs. 8.3 ± 3.5 days, p = 0.001) and higher rates of recurrent infections (16.2% vs. 6.9%, p = 0.02). Conclusion: T2DM significantly increases the risk and severity of infections in patients, particularly in tropical regions. Effective diabetes management, infection prevention, and targeted antimicrobial therapies are essential to improve outcomes in this population. Further research should focus on integrated care models and preventive strategies to reduce infection risks in T2DM patients.

Introduction: Type 2 diabetes mellitus (T2DM) is a prevalent metabolic disorder that significantly increases the risk of infections due to immune dysfunction and other related factors. This study aims to investigate the association between T2DM and various infections in a tropical tertiary teaching hospital in India, focusing on the prevalence, causative organisms, and outcomes of these infections. Methodology: A retrospective study was conducted using medical records from January 2020 to December 2023. The study included 130 T2DM patients and 130 age- and sex-matched non-diabetic controls. Data on demographic characteristics, clinical parameters, and infection details were extracted and analyzed. Statistical analyses included chi-square tests for prevalence comparison and logistic regression to identify risk factors for infections. Results: The prevalence of infections was significantly higher in T2DM patients compared to non-diabetic controls. UTIs (30.0% vs. 13.8%, p = 0.003), SSTIs (21.5% vs. 8.5%, p = 0.002), and respiratory tract infections (34.6% vs. 16.9%, p = 0.001) were notably more common in T2DM patients. Logistic regression analysis revealed that T2DM (OR: 2.25, 95% CI: 1.54 – 3.30, p = 0.001), higher BMI (OR: 1.11, 95% CI: 1.05 – 1.18, p = 0.001), and hypertension (OR: 1.67, 95% CI: 1.11 – 2.52, p = 0.014) were significant risk factors for infections. T2DM patients had longer hospitalization durations (11.2 ± 4.1 days vs. 8.3 ± 3.5 days, p = 0.001) and higher rates of recurrent infections (16.2% vs. 6.9%, p = 0.02). Conclusion: T2DM significantly increases the risk and severity of infections in patients, particularly in tropical regions. Effective diabetes management, infection prevention, and targeted antimicrobial therapies are essential to improve outcomes in this population. Further research should focus on integrated care models and preventive strategies to reduce infection risks in T2DM patients.

Related Organizations
Keywords

Type 2 Diabetes Mellitus, Infections, Tropical Region, Prevalence, Causative Organisms, Risk Factors, Retrospective Study, India

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Related to Research communities