Long-Term Visit-to-Visit Glycemic Variability as a Predictor of Major Adverse Limb and Cardiovascular Events in Patients With Diabetes

被引:3
|
作者
Hsu, Jung-Chi [2 ,3 ,4 ]
Yang, Yen-Yun [5 ]
Chuang, Shu-Lin [5 ]
Huang, Kuan-Chih [3 ,6 ]
Lee, Jen-Kuang [1 ,3 ,7 ,8 ,9 ]
Lin, Lian-Yu [3 ,8 ]
机构
[1] Natl Taiwan Univ, Coll Med & Hosp, Dept Internal Med, Div Cardiol, 7 Chung Shan South Rd, Taipei 100, Taiwan
[2] Fu Jen Catholic Univ Hosp, Dept Internal Med, Div Cardiol, New Taipei City, Taiwan
[3] Natl Taiwan Univ, Coll Med & Hosp, Dept Internal Med, Div Cardiol, Taipei, Taiwan
[4] Natl Taiwan Univ, Coll Publ Hlth, Grad Inst Epidemiol & Prevent Med, Taipei, Taiwan
[5] Natl Taiwan Univ Hosp, Dept Med Res, Hsinchu, Taiwan
[6] Natl Taiwan Univ Hosp, Dept Internal Med, Div Cardiol, Hsinchu, Taiwan
[7] Natl Taiwan Univ, Coll Med, Dept Lab Med, Taipei, Taiwan
[8] Natl Taiwan Univ Hosp, Cardiovasc Ctr, Taipei, Taiwan
[9] Natl Taiwan Univ Hosp, Telehlth Ctr, Taipei, Taiwan
来源
关键词
diabetes; glycemic variability; major adverse cardiovascular events; major adverse limb events; peripheral arterial disease; PLASMA-GLUCOSE VARIABILITY; OXIDATIVE STRESS; ENDOTHELIAL FUNCTION; DISEASE; HYPOGLYCEMIA; INDIVIDUALS; APOPTOSIS; SURVIVAL; RISK; CELL;
D O I
10.1161/JAHA.122.025438
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
BackgroundPeripheral arterial disease (PAD) is a severe complication in patients with type 2 diabetes. Glycemic variability (GV) is associated with increased risks of developing microvascular and macrovascular diseases. However, few studies have focused on the association between GV and PAD. Methods and ResultsThis cohort study used a database maintained by the National Taiwan University Hospital, a tertiary medical center in Taiwan. For each individual, GV parameters were calculated, including fasting glucose coefficient of variability (FGCV) and hemoglobin A1c variability score (HVS). Multivariate Cox regression models were constructed to estimate the relationships between GV parameters and composite scores for major adverse limb events (MALEs) and major adverse cardiovascular events (MACEs). Between 2014 and 2019, a total of 45 436 adult patients with prevalent type 2 diabetes were enrolled for analysis, and GV was assessed during a median follow-up of 64.4 months. The average number of visits and time periods were 13.38 and 157.87 days for the HVS group and 14.27 and 146.59 days for the FGCV group, respectively. The incidence rates for cardiac mortality, PAD, and critical limb ischemia (CLI) were 5.38, 20.11, and 2.41 per 1000 person-years in the FGCV group and 5.35, 20.32, and 2.50 per 1000 person-years in HVS group, respectively. In the Cox regression model with full adjustment, the highest FGCV quartile was associated with significantly increased risks of MALEs (hazard ratio [HR], 1.57 [95% CI, 1.40-1.76]; P<0.001) and MACEs (HR, 1.40 [95% CI, 1.25-1.56]; P<0.001). Similarly, the highest HVS quartile was associated with significantly increased risks of MALEs (HR, 1.44 [95% CI, 1.28-1.62]; P<0.001) and MACEs (HR, 1.28 [95% CI, 1.14-1.43]; P<0.001). The highest FGCV and HVS quartiles were both associated with the development of PAD and CLI (FGCV: PAD [HR, 1.57; P<0.001], CLI [HR, 2.19; P<0.001]; HVS: PAD [HR, 1.44; P<0.001], CLI [HR, 1.67; P=0.003]). The Kaplan-Meier analysis showed significantly higher risks of MALEs and MACEs with increasing GV magnitude (log-rank P<0.001). ConclusionsAmong individuals with diabetes, increased GV is independently associated with the development of MALEs, including PAD and CLI, and MACEs. The benefit of maintaining stable glycemic levels for improving clinical outcomes warrants further studies.
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页数:34
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