1.Effectiveness of Insulin Deintensification and Predictors of Glycemic Control in Poorly Controlled Type 2 Diabetes Mellitus: A Retrospective Cohort Study in Malaysian Primary Care
Anuar Mohamad ; Mohd Ali &lsquo ; Imran Ab Rahaman ; Ping Foo Wong ; Mohammad Zainie Hassan ; Miguelinda Vitus Kimsin ; Hiang Ngee Chan ; Megat Muhammad Haris Megat Zainal
Journal of the ASEAN Federation of Endocrine Societies 2026;41(S1):41-
Introduction:
Insulin deintensification is an emerging strategy to reduce
hypoglycemia and treatment burden in patients on
multiple daily injection (MDI ≥3), with potential to improve
adherence and glycemic control. However, evidence in
poorly controlled type 2 diabetes mellitus (T2DM) remains
limited. This study evaluated its effectiveness and identified
factors associated with achieving adequate glycemic
control following deintensification among patients with
poorly controlled T2DM attending Malaysian primary care.
Methodology:
A retrospective cohort study was conducted among
107 T2DM patients with hemoglobin A1c (HbA1c) >9%,
attending Enhanced Diabetic Clinic at Cheras Health Clinic
between 2021 and 2025. All patients on basal-bolus insulin
(BBI) underwent deintensification. Multivariate logistic
regression was performed to identify factors associated
with achieving adequate glycemic control (HbA1c <7.5%).
Changes in HbA1c following deintensification were
assessed using paired t-tests.
Results:
Overall, 50.5% of patients achieved adequate glycemic
control. Hypoglycemia events (AOR 9.5, 95% confidence
interval [CI] 1.6–58.3; p = 0.015), MDI (AOR 9.6, 95% CI
1.4–67.1; p = 0.023) and Diabetes Medication Therapy
Adherence Clinic (DMTAC) visits (AOR 1.1, 95% CI 1.0–
1.2; p = 0.039) were significantly associated with achieving
HbA1c <7.5%. Conversely, patients transitioned from BBI
to premixed regimens were less likely to achieve HbA1c
<7.5% (AOR 0.22, 95% CI 0.05–0.93, p = 0.039). All insulin
deintensification strategies were associated with significant
HbA1c improvements with transitioned from BBI to premixed human insulin (mean difference -2.54%, 95%
CI 1.77–3.31, p <0.001, Cohen’s d = 1.09), BBI to premixed
analogue insulin (mean difference -3.38%, 95% CI 2.26–
4.49, p <0.001, Cohen’s d = 1.62), BBI to basal insulin (mean
difference -3.67%, 95% CI 1.79–5.54, p = 0.004, Cohen’s
d = 2.05).
Conclusion
Insulin deintensification is an effective strategy for
improving glycemic control in poorly controlled T2DM.
These findings highlight the importance of deintensification
with careful consideration of hypoglycemia, MDI-related
treatment burden, and patient engagement through regular
DMTAC visits, which are integral to achieving optimal
outcomes and support a personalized approach to diabetes
management in primary care.
Diabetes Mellitus, Type 2
;
Glycemic Control
;
Retrospective Studies
;
Primary Health Care
;
Insulins
2.Eosinophilic endotype of chronic obstructive pulmonary disease: similarities and differences from asthma
Andrew LI ; Hiang Ping CHAN ; Phyllis X.L. GAN ; Mei Fong LIEW ; W.S. Fred WONG ; Hui-Fang LIM
The Korean Journal of Internal Medicine 2021;36(6):1305-1319
Approximately 25% to 40% of patients with chronic obstructive pulmonary disease (COPD) have the eosinophilic endotype. It is important to identify this group accurately because they are more symptomatic and are at increased risk for exacerbations and accelerated decline in forced expiratory volume in the 1st second. Importantly, this endotype is a marker of treat ment responsiveness to inhaled corticosteroid (ICS), resulting in decreased mortality risk. In this review, we highlight differences in the biology of eosinophils in COPD compared to asthma and the different definitions of the COPD eosinophilic endotype based on sputum and blood eosinophil count (BEC) with the corresponding limitations. Although BEC is useful as a biomarker for eosinophilic COPD endotype, optimal BEC cut-offs can be combined with clinical characteristics to improve its sensitivity and specificity. A targeted approach comprising airway eosinophilia and appropriate clinical and physiological features may improve identification of subgroups of patients who would benefit from biologic therapy or early use of ICS for disease modification.


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