Evidence map›Paper›PMID 38683019›Full record

ArticleJournal of clinical research in pediatric endocrinology2024

Predictors and Trends of Diabetic Ketoacidosis at Diagnosis of Type 1 Diabetes Mellitus in Malaysian Children

Meenal Mavinkurve, Nurul Hanis Ramzi, Muhammad Yazid Bin Jalaludin, Nurshadia Samingan, Azriyanti Anuar Zaini

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Article in Journal of clinical research in pediatric endocrinology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Meenal MavinkurveIMU University, School of Medicine, Department of Paediatrics, Seremban, MalaysiaORCID 0000-0001-7966-3664
Nurul Hanis RamziIMU University, Institute for Research, Development and Innovation, Kuala Lumpur, MalaysiaORCID 0000-0002-7622-7581
Muhammad Yazid Bin JalaludinUniversiti Malaya Faculty of Medicine, Department of Paediatrics, Kuala Lumpur, MalaysiaORCID 0000-0003-4513-8444
Nurshadia SaminganUniversiti Malaya Faculty of Medicine, Department of Paediatrics, Kuala Lumpur, MalaysiaORCID 0000-0002-5879-7927
Azriyanti Anuar ZainiUniversiti Malaya Faculty of Medicine, Department of Paediatrics, Kuala Lumpur, MalaysiaORCID 0000-0001-5659-765X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Previous reports indicate that diabetic ketoacidosis (DKA) rates in Malaysian children with type 1 diabetes mellitus (T1DM) range between 54-75%, which is higher than most European nations. Knowledge of trends and predictors of DKA can be helpful to inform measures to lower the rates of DKA. However, this data is lacking in Malaysian children. Hence, the aim of this study was to determine the predictors and trends of DKA in Malaysian children at the initial diagnosis of T1DM. Methods: This cross-sectional study examined demographic, clinical and biochemical data of all newly diagnosed Malaysian children aged 0-18 years with T1DM over 11 years from a single centre. Regression analyses were used to determine predictors and trends. Results: The overall DKA rate was 73.2%, 54.9% of the DKA cases were severe. Age ≥5 years [odds ratio (OR): 12.29, 95% confidence interval (CI): 1.58, 95.58, p=0.017] and misdiagnosis (OR: 3.73, 95% CI: 1.36, 10.24 p=0.01) were significant predictors of a DKA presentation. No significant trends in the annual rates of DKA, severe DKA nor children <5 years presenting with DKA were found during study period. Conclusion: DKA rates at initial diagnosis of T1DM in Malaysian children are high and severe DKA accounts for a notable proportion of these. Though misdiagnosis and age ≥5 years are predictors of DKA, misdiagnosis can be reduced through better awareness and education. The lack of downward trends in DKA and severe DKA highlights the urgency to develop measures to curb its rates.

Indexed as

Diabetes Mellitus, Type 1Diabetic KetoacidosisAdolescentChildChild, PreschoolCross-Sectional StudiesFemaleHumansInfantInfant, NewbornMalaysiaMalePrognosisRisk FactorschildhoodDiabetic ketoacidosisMalaysiatrendtype 1 diabetes

Identifiers

PMID38683019
PMCPMC11629733

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