Cargando…

Analysis of Risk Factors for Hypoglycemic Coma in 194 Patients with Type 2 Diabetes

BACKGROUND: The present study was conducted to analyze possible risk factors in patients with type 2 diabetes who are in hypoglycemic coma. MATERIAL/METHODS: A total of 194 patients with type 2 diabetic hypoglycemic coma who were admitted to our hospital between January 2010 and January 2016 were in...

Descripción completa

Detalles Bibliográficos
Autores principales: Lu, Zefen, Liu, Jianfeng, He, Qing, Chakraborty, Anindita, Zhu, Tiehong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: International Scientific Literature, Inc. 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5717995/
https://www.ncbi.nlm.nih.gov/pubmed/29180613
http://dx.doi.org/10.12659/MSM.902748
_version_ 1783284259589455872
author Lu, Zefen
Liu, Jianfeng
He, Qing
Chakraborty, Anindita
Zhu, Tiehong
author_facet Lu, Zefen
Liu, Jianfeng
He, Qing
Chakraborty, Anindita
Zhu, Tiehong
author_sort Lu, Zefen
collection PubMed
description BACKGROUND: The present study was conducted to analyze possible risk factors in patients with type 2 diabetes who are in hypoglycemic coma. MATERIAL/METHODS: A total of 194 patients with type 2 diabetic hypoglycemic coma who were admitted to our hospital between January 2010 and January 2016 were included. The patients were all in coma on admission, and their blood glucose levels were lower than 2.8 mmol/L. None of the patients had type I diabetes, specific types of diabetes, or gestational diabetes. Multiple linear regression analysis was used to determine possible factors associated with hypoglycemic coma. RESULTS: Among the patients, 82 were male and 112 were female (mean age, 66.88±10.62 years). In addition, 72 patients lived in urban areas and 122 lived in rural areas. Occurrence of hypoglycemic coma was correlated with difference between urban and rural residence, glycosylated hemoglobin (HbA1c) level, combined hypertension, and combined neural complications. Self-purchased drugs resulted in significantly lower blood glucose level at the onset of hypoglycemic coma than insulin, secretagogue, or non-secretagogue drugs. Blood glucose level at onset was correlated with season. Patients living in rural areas or with combined macrovascular or microvascular complications had prolonged hospital stay and poor prognosis. CONCLUSIONS: Our results demonstrate that rural residence, higher HbA1c level, combined hypertension, and combined neural complications increase the incidence of hypoglycemic coma. Use of self-purchased drugs and colder seasons may result in lower blood glucose levels in patients with hypoglycemic coma.
format Online
Article
Text
id pubmed-5717995
institution National Center for Biotechnology Information
language English
publishDate 2017
publisher International Scientific Literature, Inc.
record_format MEDLINE/PubMed
spelling pubmed-57179952017-12-07 Analysis of Risk Factors for Hypoglycemic Coma in 194 Patients with Type 2 Diabetes Lu, Zefen Liu, Jianfeng He, Qing Chakraborty, Anindita Zhu, Tiehong Med Sci Monit Clinical Research BACKGROUND: The present study was conducted to analyze possible risk factors in patients with type 2 diabetes who are in hypoglycemic coma. MATERIAL/METHODS: A total of 194 patients with type 2 diabetic hypoglycemic coma who were admitted to our hospital between January 2010 and January 2016 were included. The patients were all in coma on admission, and their blood glucose levels were lower than 2.8 mmol/L. None of the patients had type I diabetes, specific types of diabetes, or gestational diabetes. Multiple linear regression analysis was used to determine possible factors associated with hypoglycemic coma. RESULTS: Among the patients, 82 were male and 112 were female (mean age, 66.88±10.62 years). In addition, 72 patients lived in urban areas and 122 lived in rural areas. Occurrence of hypoglycemic coma was correlated with difference between urban and rural residence, glycosylated hemoglobin (HbA1c) level, combined hypertension, and combined neural complications. Self-purchased drugs resulted in significantly lower blood glucose level at the onset of hypoglycemic coma than insulin, secretagogue, or non-secretagogue drugs. Blood glucose level at onset was correlated with season. Patients living in rural areas or with combined macrovascular or microvascular complications had prolonged hospital stay and poor prognosis. CONCLUSIONS: Our results demonstrate that rural residence, higher HbA1c level, combined hypertension, and combined neural complications increase the incidence of hypoglycemic coma. Use of self-purchased drugs and colder seasons may result in lower blood glucose levels in patients with hypoglycemic coma. International Scientific Literature, Inc. 2017-11-28 /pmc/articles/PMC5717995/ /pubmed/29180613 http://dx.doi.org/10.12659/MSM.902748 Text en © Med Sci Monit, 2017 This work is licensed under Creative Common Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0 (https://creativecommons.org/licenses/by-nc-nd/4.0/) )
spellingShingle Clinical Research
Lu, Zefen
Liu, Jianfeng
He, Qing
Chakraborty, Anindita
Zhu, Tiehong
Analysis of Risk Factors for Hypoglycemic Coma in 194 Patients with Type 2 Diabetes
title Analysis of Risk Factors for Hypoglycemic Coma in 194 Patients with Type 2 Diabetes
title_full Analysis of Risk Factors for Hypoglycemic Coma in 194 Patients with Type 2 Diabetes
title_fullStr Analysis of Risk Factors for Hypoglycemic Coma in 194 Patients with Type 2 Diabetes
title_full_unstemmed Analysis of Risk Factors for Hypoglycemic Coma in 194 Patients with Type 2 Diabetes
title_short Analysis of Risk Factors for Hypoglycemic Coma in 194 Patients with Type 2 Diabetes
title_sort analysis of risk factors for hypoglycemic coma in 194 patients with type 2 diabetes
topic Clinical Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5717995/
https://www.ncbi.nlm.nih.gov/pubmed/29180613
http://dx.doi.org/10.12659/MSM.902748
work_keys_str_mv AT luzefen analysisofriskfactorsforhypoglycemiccomain194patientswithtype2diabetes
AT liujianfeng analysisofriskfactorsforhypoglycemiccomain194patientswithtype2diabetes
AT heqing analysisofriskfactorsforhypoglycemiccomain194patientswithtype2diabetes
AT chakrabortyanindita analysisofriskfactorsforhypoglycemiccomain194patientswithtype2diabetes
AT zhutiehong analysisofriskfactorsforhypoglycemiccomain194patientswithtype2diabetes