Evidence map›Paper›PMID 38800154›Full record

ArticleCureus2024

Understanding the Complexity of Hyperglycemic Emergencies: Exploring the Influence of the Type and Duration of Diabetes Mellitus and Its Impact on Mortality.

Yogesh S, Venkatesan S, Jayaraj A T, Karthigeyan T S, Siva Prasath S, Suriya Prakash S, Selva Krishna R, Sandhiya N, Navvin S, Roshan Prasad

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Article in Cureus, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Yogesh SInternal Medicine, Madras Medical College and Rajiv Gandhi Government General Hospital, Chennai, IND.
Venkatesan SInternal Medicine, Madras Medical College and Rajiv Gandhi Government General Hospital, Chennai, IND.
Jayaraj A TInternal Medicine, Madras Medical College and Rajiv Gandhi Government General Hospital, Chennai, IND.
Karthigeyan T SInternal Medicine, Madras Medical College and Rajiv Gandhi Government General Hospital, Chennai, IND.
Siva Prasath SInternal Medicine, Madras Medical College and Rajiv Gandhi Government General Hospital, Chennai, IND.
Suriya Prakash SInternal Medicine, Madras Medical College and Rajiv Gandhi Government General Hospital, Chennai, IND.
Selva Krishna RInternal medicine, Madras Medical College and Rajiv Gandhi Government General Hospital, Chennai, IND.
Sandhiya NInternal Medicine, Madras Medical College and Rajiv Gandhi Government General Hospital, Chennai, IND.
Navvin SInternal Medicine, Madras Medical College and Rajiv Gandhi Government General Hospital, Chennai, IND.
Roshan PrasadInternal Medicine, Jawaharlal Nehru Medical College, Datta Meghe Institute of Higher Education and Research, Wardha, IND.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background Diabetes mellitus remains a pressing global health issue, characterized by chronic metabolic dysfunction and the potential for life-threatening acute hyperglycemic emergencies. These emergencies, known as diabetic ketoacidosis and hyperosmolar hyperglycemic states, trigger a series of physiological disruptions. This article delves deeply into how the type and duration of diabetes mellitus affect the occurrence of hyperglycemic emergencies and mortality rates. Methods The study was conducted at the Institute of Internal Medicine, Rajiv Gandhi General Hospital, affiliated with Madras Medical College, spanning from July 2021 to December 2021. It encompassed both individuals newly diagnosed with diabetic ketoacidosis and patients already undergoing diabetic treatment who developed diabetic ketoacidosis and hyperosmolar hyperglycemic states. Results Within the study cohort of 110 patients, 37.27% were diagnosed with Type 1 diabetes mellitus, while 62.73% were classified as Type 2 diabetes mellitus patients. Among these individuals, 23.60% were newly diagnosed with diabetes, 22.70% had been diabetic for less than one year, 47.30% had a diabetic history of two to five years, and 6.40% had been diabetic for over six years. However, upon investigating the relationship between diabetes duration and mortality rate, no statistically significant findings were observed. Conclusion Hyperglycemic emergencies represent multifaceted clinical challenges influenced by the interplay of various factors, including the type and duration of the disease. By maintaining effective management of hyperglycemia from the outset and sustaining it throughout their lives, people with diabetes can improve their physical and mental health and reduce the likelihood of developing long-term complications that may negatively impact their overall well-being.

Indexed as

diabetes mellitusdiabetic ketoacidosishyperglycemiahyperosmolar statemetabolic disorder

Identifiers

PMID38800154
PMCPMC11120012

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.