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The neglected perioperative population of undiagnosed diabetics – a retrospective cohort study

BACKGROUND: Diabetes is known to increase morbidity and 30-day mortality in adults undergoing non-cardiac surgery, but longer term outcomes are less studied. This study was done to explore how undiagnosed and known diabetes affect 30-day and one-year morbidity and mortality outcomes. The secondary a...

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Autores principales: Teo, Wei W., Ti, Lian K., Lean, Lyn L., Seet, Edwin, Paramasivan, Ambika, Liu, Weiling, Wang, Jiexun, Chua, Vanessa, Liew, Lydia Q.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7437967/
https://www.ncbi.nlm.nih.gov/pubmed/32811495
http://dx.doi.org/10.1186/s12893-020-00844-2
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author Teo, Wei W.
Ti, Lian K.
Lean, Lyn L.
Seet, Edwin
Paramasivan, Ambika
Liu, Weiling
Wang, Jiexun
Chua, Vanessa
Liew, Lydia Q.
author_facet Teo, Wei W.
Ti, Lian K.
Lean, Lyn L.
Seet, Edwin
Paramasivan, Ambika
Liu, Weiling
Wang, Jiexun
Chua, Vanessa
Liew, Lydia Q.
author_sort Teo, Wei W.
collection PubMed
description BACKGROUND: Diabetes is known to increase morbidity and 30-day mortality in adults undergoing non-cardiac surgery, but longer term outcomes are less studied. This study was done to explore how undiagnosed and known diabetes affect 30-day and one-year morbidity and mortality outcomes. The secondary aim was to study the prevalence of undiagnosed diabetics in our perioperative Asian surgical population. METHODS: A retrospective cohort study of 2106 patients aged > 45 years undergoing non-cardiac surgery in a single tertiary hospital was performed. Undiagnosed diabetics were identified (HbA1c ≥6.5% or fasting blood glucose ≥126 mg/dL) and relevant demographic, clinical and surgical data were analyzed to elicit the relationship to adverse outcomes. Univariate analysis was first performed to identify significant variables with p-values ≤0.1, which were then analyzed using multiple logistic regression to calculate the adjusted odds ratio. RESULTS: The prevalence of undiagnosed diabetes was 7.4%. The mean and median HbA1c of known diabetics were 7.9 and 7.5%, while the mean and median HbA1c for undiagnosed diabetics were 7.2 and 6.8% respectively. 36.4% of known diabetics and 20.5% of undiagnosed diabetics respectively had a random blood glucose > 200 mg/dL. Undiagnosed diabetics had a three-fold increase in 1-year mortality compared to non-diabetics (adjusted OR 3.46(1.80–6.49) p < 0.001) but this relationship was not significant between known and non-diabetics. Compared to non-diabetics, known diabetics were at increased risks of new-onset atrial fibrillation (aOR 2.48(1.01–6.25) p = 0.047), infection (aOR 1.49(1.07–2.07) p = 0.017), 30-day readmission (aOR 1.62(1.17–2.25) p = 0.004) and 30-day mortality (aOR 3.11(1.16–8.56) p = 0.025). CONCLUSIONS: Although undiagnosed diabetics have biochemically less severe disease compared to known diabetics at the point of testing, they are at a one-year mortality disadvantage which is not seen among known diabetics. This worrying trend highlights the importance of identifying and treating diabetes. Congruent to previous studies, known diabetics have higher morbidity and 30-day mortality compared to non-diabetics.
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spelling pubmed-74379672020-08-24 The neglected perioperative population of undiagnosed diabetics – a retrospective cohort study Teo, Wei W. Ti, Lian K. Lean, Lyn L. Seet, Edwin Paramasivan, Ambika Liu, Weiling Wang, Jiexun Chua, Vanessa Liew, Lydia Q. BMC Surg Research Article BACKGROUND: Diabetes is known to increase morbidity and 30-day mortality in adults undergoing non-cardiac surgery, but longer term outcomes are less studied. This study was done to explore how undiagnosed and known diabetes affect 30-day and one-year morbidity and mortality outcomes. The secondary aim was to study the prevalence of undiagnosed diabetics in our perioperative Asian surgical population. METHODS: A retrospective cohort study of 2106 patients aged > 45 years undergoing non-cardiac surgery in a single tertiary hospital was performed. Undiagnosed diabetics were identified (HbA1c ≥6.5% or fasting blood glucose ≥126 mg/dL) and relevant demographic, clinical and surgical data were analyzed to elicit the relationship to adverse outcomes. Univariate analysis was first performed to identify significant variables with p-values ≤0.1, which were then analyzed using multiple logistic regression to calculate the adjusted odds ratio. RESULTS: The prevalence of undiagnosed diabetes was 7.4%. The mean and median HbA1c of known diabetics were 7.9 and 7.5%, while the mean and median HbA1c for undiagnosed diabetics were 7.2 and 6.8% respectively. 36.4% of known diabetics and 20.5% of undiagnosed diabetics respectively had a random blood glucose > 200 mg/dL. Undiagnosed diabetics had a three-fold increase in 1-year mortality compared to non-diabetics (adjusted OR 3.46(1.80–6.49) p < 0.001) but this relationship was not significant between known and non-diabetics. Compared to non-diabetics, known diabetics were at increased risks of new-onset atrial fibrillation (aOR 2.48(1.01–6.25) p = 0.047), infection (aOR 1.49(1.07–2.07) p = 0.017), 30-day readmission (aOR 1.62(1.17–2.25) p = 0.004) and 30-day mortality (aOR 3.11(1.16–8.56) p = 0.025). CONCLUSIONS: Although undiagnosed diabetics have biochemically less severe disease compared to known diabetics at the point of testing, they are at a one-year mortality disadvantage which is not seen among known diabetics. This worrying trend highlights the importance of identifying and treating diabetes. Congruent to previous studies, known diabetics have higher morbidity and 30-day mortality compared to non-diabetics. BioMed Central 2020-08-18 /pmc/articles/PMC7437967/ /pubmed/32811495 http://dx.doi.org/10.1186/s12893-020-00844-2 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research Article
Teo, Wei W.
Ti, Lian K.
Lean, Lyn L.
Seet, Edwin
Paramasivan, Ambika
Liu, Weiling
Wang, Jiexun
Chua, Vanessa
Liew, Lydia Q.
The neglected perioperative population of undiagnosed diabetics – a retrospective cohort study
title The neglected perioperative population of undiagnosed diabetics – a retrospective cohort study
title_full The neglected perioperative population of undiagnosed diabetics – a retrospective cohort study
title_fullStr The neglected perioperative population of undiagnosed diabetics – a retrospective cohort study
title_full_unstemmed The neglected perioperative population of undiagnosed diabetics – a retrospective cohort study
title_short The neglected perioperative population of undiagnosed diabetics – a retrospective cohort study
title_sort neglected perioperative population of undiagnosed diabetics – a retrospective cohort study
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7437967/
https://www.ncbi.nlm.nih.gov/pubmed/32811495
http://dx.doi.org/10.1186/s12893-020-00844-2
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