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©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
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], 2024 | R | United States | 5 | 80502 | 63 ± 20 | 38954 (48.39) | 30.6 ± 9.4 | 59241 (73.6) | NA | 10384 (12.9) | 14973 (18.6) | NA | 22637 (28.1) | 44944 (55.8) | NA |
| Wang et al[14], 2024 | R | China | 7 | 225 | 49.5 ± 13.6 | 119 (52.9) | 25.7 ± 4.3 | 82 (36.4) | 43 (19.1) | 22 (9.7) | 35 (15.5) | NA | NA | 149 (66.2) | 14 (6.2) |
| Lin et al[15], 2023 | R | China | 15 | 98 | 58.7 ± 16.5 | 82 (83.7) | 26.3 ± 5.5 | 39 (39.7) | 28 (28.5) | NA | NA | 24 (24.5) | 20 (20.4) | NA | NA |
| Lee et al[16], 2022 | R | Korea | 6 | 9883 | 58.5 ± 13.1a | 7085 (71.7)a | N/A | 5493 (55.6) | 4158 (42.1) | NA | 1119 (11.3) | 1327 (13.4) | 264 (2.7) | NA | NA |
| Sridharan et al[17], 2022 | P | United States | 4 | 2269 | 54 ± 15 | 1392 (61) | 30 ± 3.4 | 613 (27) | 885 (39) | 227 (10) | 454 (20) | 250 (11) | 181 (8) | N/A | N/A |
| Cui et al[18], 2022 | R | United States | 21 | 3859 | 54.8 ± 3.4 | 2115 (54.8) | 28.6 ± 2 | 1764 (45.7)a | NA | NA | 556 (14.4) | 357 (9.2)a | 454 (11.7)a | 3054 (79.1)a | 1398 (36.2)a |
| Hsu et al[19], 2020 | R | Taiwan | 7 | 598 | 66.3 ± 13.0 | 262 (43.8) | NA | 347 (58) | 132 (22.1) | NA | NA | 145 (24.2) | 276 (46.2) | 196 (32.8) | 197 (32.9) |
| Raphael et al[20], 2020 | P | United Kingdom | 10 | 348 | 62 ± 14a | 254 (73) | NA | 125 (36) | 821 (23) | NA | NA | 39 (11) | 47 (14) | 188 (54)a | 54 (16) |
| Rozen et al[21], 2020 | R | United States | 13 | 1885 | 62 ± 3.7a | 832 (53.2)a | NA | 1036 (55.5) | NA | NA | NA | 288 (15.3) | NA | NA | NA |
| Meghji et al[22], 2019 | R | United States | 55 | 2506 | 55.6 ± 3.9 | 1379 (55) | 29.65 ± 2.1 | 1238 (49.4)a | 1539 (61.4) | 471 (18.8) | 486 (19.4) | 231 (9.2) | NA | 1997 (79.7) | 953 (38) |
| Nguyen et al[23], 2019 | R | United States | 56 | 2913 | 60.4 ± 2.7 | 2913 (54.9) | 29.6 ± 1.8 | 1454 (49.9) | 1784 (61.2) | NA | NA | 284 (9.7) | NA | NA | NA |
| Li et al[24], 2019 | R | China | 13 | 319 | 48.2 ± 14.3 | 120 (54) | N/A | 47 (21) | N/A | N/A | N/A | 3 (1.34) | N/A | N/A | N/A |
| Jensen et al[25], 2011 | P | Denmark | 2 | 279 | 59 ± 14 | 150 (54) | NA | 123 (44) | NA | NA | NA | 19 (7) | NA | NA | NA |
| Moon et al[26], 2011 | P | Korea | 6 | 454 | 61 ± 11 | 316 (70)a | NA | 232 (51)a | NA | 5 (1) | NA | 69 (15)a | NA | 142 (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 fibrosis | Chronic hyperglycemia and insulin resistance promote myocardial and atrial collagen deposition. This stiffens the myocardium and disrupts conduction | AF, ACM | Fibrosis contributes to arrhythmogenic substrate and diastolic dysfunction, increasing AF risk and overall mortality[13,14,29,34,37] |
| Atrial remodeling and LA dilation | Elevated LV filling pressures and impaired diastolic function lead to left atrial enlargement and structural remodeling | AF | LA dilation facilitates reentry circuits and AF development in HCM patients with DM[14,20,36] |
| Microvascular dysfunction | DM causes capillary rarefaction and endothelial dysfunction, reducing perfusion and increasing ischemia risk | ACM | Ischemia and oxygen mismatch promote myocardial injury, fibrosis, and adverse outcomes[14,29,30] |
| Autonomic imbalance | DM leads to sympathetic overactivity and reduced vagal tone, predisposing to electrical instability | AF, SVT, NSVT | Increased sympathetic tone and reduced HR variability raise arrhythmia susceptibility[14,31] |
| Oxidative stress and inflammation | Hyperglycemia generates ROS and pro-inflammatory cytokines that damage cardiomyocytes | AF, ACM | Oxidative stress leads to apoptosis, impaired function, and fibrotic remodeling[32,33,39] |
| Disrupted calcium handling | ROS activates CaMKII, resulting in abnormal calcium influx and delayed afterdepolarizations | AF, VT, NSVT | Calcium overload causes ectopic activity and proarrhythmic conditions[32] |
| Elevated microRNA-29 expression | Insulin resistance induces microRNA-29, which stimulates myocardial hypertrophy and fibrosis | AF, ACM | microRNA-29a is a profibrotic biomarker found elevated in HCM and DM[34] |
| Structural remodeling | Combined effects of HCM and DM cause exaggerated hypertrophy, LV wall thickness, and chamber dilation | AF, ACM | Reflects a more advanced phenotype with increased mortality and arrhythmic burden[14,20,30] |
| Proarrhythmic medication patterns | High beta-blocker used in patients developing AF suggests suboptimal rhythm control despite standard therapy | AF | Patients 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 DM | AF, ACM | Hypertension, CAD, and sleep apnea synergistically raise cardiovascular risk in HCM-DM populations[14,16,34] |
- Citation: Damarlapally N, Vempati R, Doshi KM, Singh M, Prajapati K, Modi D, Singh P, Desai R. Impact of diabetes mellitus on mortality and atrial fibrillation in hypertrophic cardiomyopathy: A systematic review and meta-analysis. World J Diabetes 2025; 16(12): 110494
- URL: https://www.wjgnet.com/1948-9358/full/v16/i12/110494.htm
- DOI: https://dx.doi.org/10.4239/wjd.v16.i12.110494
