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Meta-Analysis
Copyright ©The Author(s) 2025.
World J Diabetes. Dec 15, 2025; 16(12): 110494
Published online Dec 15, 2025. doi: 10.4239/wjd.v16.i12.110494
Table 1 Baseline characteristics of the included studies, mean ± SD/n (%)
Ref.
Study type
Country
Duration in years
Sample size
Age in years
Males
BMI in kg/m2
HTN
Dyslipidemia
Syncope
AF
DM
CAD
BB
CCB
Hajouli et al[13], 2024RUnited States58050263 ± 2038954 (48.39)30.6 ± 9.459241 (73.6)NA10384 (12.9)14973 (18.6)NA22637 (28.1)44944 (55.8)NA
Wang et al[14], 2024RChina722549.5 ± 13.6119 (52.9)25.7 ± 4.382 (36.4)43 (19.1)22 (9.7)35 (15.5)NANA149 (66.2)14 (6.2)
Lin et al[15], 2023RChina159858.7 ± 16.582 (83.7)26.3 ± 5.539 (39.7)28 (28.5)NANA24 (24.5)20 (20.4)NANA
Lee et al[16], 2022RKorea6988358.5 ± 13.1a7085 (71.7)aN/A5493 (55.6)4158 (42.1)NA1119 (11.3)1327 (13.4)264 (2.7)NANA
Sridharan et al[17], 2022PUnited States4226954 ± 151392 (61)30 ± 3.4613 (27)885 (39)227 (10)454 (20)250 (11)181 (8)N/AN/A
Cui et al[18], 2022RUnited States21385954.8 ± 3.42115 (54.8)28.6 ± 21764 (45.7)aNANA556 (14.4)357 (9.2)a454 (11.7)a3054 (79.1)a1398 (36.2)a
Hsu et al[19], 2020RTaiwan759866.3 ± 13.0262 (43.8)NA347 (58)132 (22.1)NANA145 (24.2)276 (46.2)196 (32.8)197 (32.9)
Raphael et al[20], 2020PUnited Kingdom1034862 ± 14a254 (73)NA125 (36)821 (23)NANA39 (11)47 (14)188 (54)a54 (16)
Rozen et al[21], 2020RUnited States13188562 ± 3.7a832 (53.2)aNA1036 (55.5)NANANA288 (15.3)NANANA
Meghji et al[22], 2019RUnited States55250655.6 ± 3.91379 (55)29.65 ± 2.11238 (49.4)a1539 (61.4)471 (18.8)486 (19.4)231 (9.2)NA1997 (79.7)953 (38)
Nguyen et al[23], 2019RUnited States56291360.4 ± 2.72913 (54.9)29.6 ± 1.81454 (49.9)1784 (61.2)NANA284 (9.7)NANANA
Li et al[24], 2019RChina1331948.2 ± 14.3120 (54)N/A47 (21)N/AN/AN/A3 (1.34)N/AN/AN/A
Jensen et al[25], 2011PDenmark227959 ± 14150 (54)NA123 (44)NANANA19 (7)NANANA
Moon et al[26], 2011PKorea645461 ± 11316 (70)aNA232 (51)aNA5 (1)NA69 (15)aNA142 (31)118 (26)
Table 2 Possible pathophysiological factors behind the increased risk in diabetes mellitus patients
Mechanism
Explanation
Associated outcome(s)
Supporting evidence with references
Myocardial fibrosisChronic hyperglycemia and insulin resistance promote myocardial and atrial collagen deposition. This stiffens the myocardium and disrupts conductionAF, ACMFibrosis contributes to arrhythmogenic substrate and diastolic dysfunction, increasing AF risk and overall mortality[13,14,29,34,37]
Atrial remodeling and LA dilationElevated LV filling pressures and impaired diastolic function lead to left atrial enlargement and structural remodelingAFLA dilation facilitates reentry circuits and AF development in HCM patients with DM[14,20,36]
Microvascular dysfunctionDM causes capillary rarefaction and endothelial dysfunction, reducing perfusion and increasing ischemia riskACMIschemia and oxygen mismatch promote myocardial injury, fibrosis, and adverse outcomes[14,29,30]
Autonomic imbalanceDM leads to sympathetic overactivity and reduced vagal tone, predisposing to electrical instabilityAF, SVT, NSVTIncreased sympathetic tone and reduced HR variability raise arrhythmia susceptibility[14,31]
Oxidative stress and inflammationHyperglycemia generates ROS and pro-inflammatory cytokines that damage cardiomyocytesAF, ACMOxidative stress leads to apoptosis, impaired function, and fibrotic remodeling[32,33,39]
Disrupted calcium handlingROS activates CaMKII, resulting in abnormal calcium influx and delayed afterdepolarizationsAF, VT, NSVTCalcium overload causes ectopic activity and proarrhythmic conditions[32]
Elevated microRNA-29 expressionInsulin resistance induces microRNA-29, which stimulates myocardial hypertrophy and fibrosisAF, ACMmicroRNA-29a is a profibrotic biomarker found elevated in HCM and DM[34]
Structural remodelingCombined effects of HCM and DM cause exaggerated hypertrophy, LV wall thickness, and chamber dilationAF, ACMReflects a more advanced phenotype with increased mortality and arrhythmic burden[14,20,30]
Proarrhythmic medication patternsHigh beta-blocker used in patients developing AF suggests suboptimal rhythm control despite standard therapyAFPatients with AF had higher baseline beta-blocker use than those in sinus rhythm, questioning its protective role[20]
Comorbidities (HTN, OSA, CAD)These amplify myocardial stress, systemic inflammation, and fibrosis when combined with DMAF, ACMHypertension, CAD, and sleep apnea synergistically raise cardiovascular risk in HCM-DM populations[14,16,34]