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Shi R, Xu W, Feng L, Ye D, Luo B, Liu Y, Cao H, Tang L. Value of Glycemic Dispersion Index in Predicting Major Adverse Cardiovascular Events in Diabetic Patients with Concomitant Acute Coronary Syndrome. Diabetes Metab Syndr Obes 2024; 17:3433-3445. [PMID: 39295645 PMCID: PMC11410034 DOI: 10.2147/dmso.s469436] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/07/2024] [Accepted: 09/05/2024] [Indexed: 09/21/2024] Open
Abstract
Aim This investigation aims to assess the predictive value of the glycemic dispersion index (GDI), calculated by incorporating glycated hemoglobin, fasting plasma glucose, and 2-hour postprandial plasma glucose, in predicting major adverse cardiovascular events (MACE) within a 12-month timeframe for diabetic patients with concomitant acute coronary syndrome (ACS). Methods A retrospective study was conducted on 3261 diabetic patients with ACS who were hospitalized in the Department of Cardiology, the Sixth Affiliated Hospital of Kunming Medical University, from January 2016 to July 2022. Based on the inclusion and exclusion criteria, 512 patients were ultimately enrolled in the study. Their general information and laboratory test indicators were collected, and the occurrence of MACE within 12 months after admission was followed up and recorded for the enrolled patients, With the last follow-up having been concluded on July 31, 2023. The enrolled patients were stratified into four groups (Q1, Q2, Q3, Q4) based on their GDI values, from the lowest to the highest. Cox proportional hazards regression analysis and Kaplan-Meier survival analysis were employed to investigate the risk factors associated with MACE occurrence across these groups and to assess the cumulative risk of MACE over time within each group. Results The percentages of enrolled patients experiencing MACE in groups Q1 to Q4 were 10.16%, 12.50%, 15.63%, and 16.41%, respectively. GDI independently predicted the hazards for MACE in enrolled patients. The cumulative risk of MACE over time was considerably more significant in those with a GDI>4.21 than those with a GDI≤4.21. Conclusion The elevated GDI is correlated with an augmented risk of MACE in diabetic patients with concomitant ACS, thereby serving as an early indicator for assessing the unfavorable clinical prognosis of patients. This study offers novel insights into glycemic variability monitoring, enhancing prevention and treatment strategies for cardiovascular disease in people with diabetes.
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Affiliation(s)
- Rui Shi
- Department of Laboratory, The Sixth Affiliated Hospital of Kunming Medical University, Yuxi City, Yunnan Province, People's Republic of China
| | - Wenbo Xu
- Department of Laboratory, The Sixth Affiliated Hospital of Kunming Medical University, Yuxi City, Yunnan Province, People's Republic of China
| | - Lei Feng
- Clinical Laboratory, Yan'an Hospital of Kunming City, Kunming City, Yunnan Province, People's Republic of China
| | - Dan Ye
- Department of Laboratory, The Sixth Affiliated Hospital of Kunming Medical University, Yuxi City, Yunnan Province, People's Republic of China
| | - Beibei Luo
- Department of Laboratory, The Sixth Affiliated Hospital of Kunming Medical University, Yuxi City, Yunnan Province, People's Republic of China
| | - Yanmei Liu
- Clinical Laboratory, Yan'an Hospital of Kunming City, Kunming City, Yunnan Province, People's Republic of China
- Department of Laboratory Medicine, The Sixth Affiliated Hospital of Guangzhou Medical University, Qingyuan People's Hospital, Qingyuan, People's Republic of China
| | - Huiying Cao
- Department of Laboratory, The Sixth Affiliated Hospital of Kunming Medical University, Yuxi City, Yunnan Province, People's Republic of China
| | - Lingtong Tang
- Department of Laboratory, The Sixth Affiliated Hospital of Kunming Medical University, Yuxi City, Yunnan Province, People's Republic of China
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Psoma O, Makris M, Tselepis A, Tsimihodimos V. Short-term Glycemic Variability and Its Association With Macrovascular and Microvascular Complications in Patients With Diabetes. J Diabetes Sci Technol 2024; 18:956-967. [PMID: 36576014 PMCID: PMC11307209 DOI: 10.1177/19322968221146808] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
Abstract
The introduction of continuous glucose monitoring inaugurated a new era in clinical practice by shifting the characterization of glycemic control from HbA1c to novel metrics. The one that gained widespread attention over the past decades was glycemic variability (GV), which typically refers to peaks and nadirs of blood glucose measured over a given time interval. GV can be dichotomized into two main categories: short-term and long-term. Short-term GV reflects within-day and between-day glycemic oscillations, and its contribution to diabetic complications remains an enigma. In this review, we summarize the available data about short-term GV and its possible association with both microvascular and macrovascular complications, evaluating different pathogenic mechanisms and demonstrating nonpharmaceutical, as well as pharmaceutical, therapeutic interventions.
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Affiliation(s)
- Ourania Psoma
- Department of Internal Medicine, School of Medicine, University of Ioannina, Ioannina, Greece
| | - Marios Makris
- UCL Medical School, University College London, London, UK
| | - Alexandros Tselepis
- Atherothrombosis Research Centre/Laboratory of Biochemistry, Department of Chemistry, University of Ioannina, Ioannina, Greece
| | - Vasilis Tsimihodimos
- Department of Internal Medicine, School of Medicine, University of Ioannina, Ioannina, Greece
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Kataoka Y, Kitahara S, Funabashi S, Makino H, Matsubara M, Matsuo M, Omura-Ohata Y, Koezuka R, Tochiya M, Tamanaha T, Tomita T, Honda-Kohmo K, Noguchi M, Murai K, Sawada K, Iwai T, Matama H, Honda S, Fujino M, Nakao K, Yoneda S, Takagi K, Otsuka F, Asaumi Y, Hosoda K, Nicholls SJ, Yasuda S, Noguchi T. Glucagon-like Peptide-1 analogues and delipidation of coronary atheroma in statin-treated type 2 diabetic patients with coronary artery disease: The prespecified sub-analysis of the OPTIMAL randomized clinical trial. ATHEROSCLEROSIS PLUS 2024; 56:1-6. [PMID: 38617596 PMCID: PMC11015340 DOI: 10.1016/j.athplu.2024.03.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/28/2023] [Revised: 02/26/2024] [Accepted: 03/13/2024] [Indexed: 04/16/2024]
Abstract
Background and aims Randomized clinical trials have demonstrated the ability of glucagon-like peptide-1 analogues (GLP-1RAs) to reduce atherosclerotic cardiovascular disease events in patients with type 2 diabetes (T2D). How GLP-1RAs modulate diabetic atherosclerosis remains to be determined yet. Methods The OPTIMAL study was a prospective randomized controlled study to compare the efficacy of 48-week continuous glucose monitoring- and HbA1c-guided glycemic control on near infrared spectroscopty (NIRS)/intravascular ultrasound (IVUS)-derived plaque measures in 94 statin-treated patients with T2D (jRCT1052180152, UMIN000036721). Of these, 78 patients with evaluable serial NIRS/IVUS images were analyzed to compare plaque measures between those treated with (n = 16) and without GLP-1RAs (n = 72). Results All patients received a statin, and on-treatment LDL-C levels were similar between the groups (66.9 ± 11.6 vs. 68.1 ± 23.2 mg/dL, p = 0.84). Patients receiving GLP-1RAs demonstrated a greater reduction of HbA1c [-1.0 (-1.4 to -0.5) vs. -0.4 (-0.6 to -0.2)%, p = 0.02] and were less likely to demonstrate a glucose level >180 mg/dL [-7.5 (-14.9 to -0.1) vs. 1.1 (-2.0 - 4.2)%, p = 0.04], accompanied by a significant decrease in remnant cholesterol levels [-3.8 (-6.3 to -1.3) vs. -0.1 (-0.8 - 1.1)mg/dL, p = 0.008]. On NIRS/IVUS imaging analysis, the change in percent atheroma volume did not differ between the groups (-0.9 ± 0.25 vs. -0.2 ± 0.2%, p = 0.23). However, GLP-1RA treated patients demonstrated a greater frequency of maxLCBI4mm regression (85.6 ± 0.1 vs. 42.0 ± 0.6%, p = 0.01). Multivariate analysis demonstrated that the GLP-1RA use was independently associated with maxLCBI4mm regression (odds ratio = 4.41, 95%CI = 1.19-16.30, p = 0.02). Conclusions In statin-treated patients with T2D and CAD, GLP-1RAs produced favourable changes in lipidic plaque materials, consistent with its stabilization.
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Affiliation(s)
- Yu Kataoka
- Department of Cardiovascular Medicine, National Cerebral & Cardiovascular Centre, Suita, Osaka, Japan
| | - Satoshi Kitahara
- Department of Cardiovascular Medicine, National Cerebral & Cardiovascular Centre, Suita, Osaka, Japan
- Department of Cardiovascular Medicine, Kashiwa Kousei General Hospital, Kashiwa, Japan
| | - Sayaka Funabashi
- Department of Cardiovascular Medicine, National Cerebral & Cardiovascular Centre, Suita, Osaka, Japan
- Department of Cardiovascular Medicine, Kyorin University, Mitaka, Tokyo, Japan
| | - Hisashi Makino
- Division of Diabetes and Lipid Metabolism, National Cerebral & Cardiovascular Center, Suita, Osaka, Japan
| | - Masaki Matsubara
- Division of Diabetes and Lipid Metabolism, National Cerebral & Cardiovascular Center, Suita, Osaka, Japan
| | - Miki Matsuo
- Division of Diabetes and Lipid Metabolism, National Cerebral & Cardiovascular Center, Suita, Osaka, Japan
| | - Yoko Omura-Ohata
- Division of Diabetes and Lipid Metabolism, National Cerebral & Cardiovascular Center, Suita, Osaka, Japan
| | - Ryo Koezuka
- Division of Diabetes and Lipid Metabolism, National Cerebral & Cardiovascular Center, Suita, Osaka, Japan
| | - Mayu Tochiya
- Division of Diabetes and Lipid Metabolism, National Cerebral & Cardiovascular Center, Suita, Osaka, Japan
| | - Tamiko Tamanaha
- Division of Diabetes and Lipid Metabolism, National Cerebral & Cardiovascular Center, Suita, Osaka, Japan
| | - Tsutomu Tomita
- Division of Diabetes and Lipid Metabolism, National Cerebral & Cardiovascular Center, Suita, Osaka, Japan
| | - Kyoko Honda-Kohmo
- Division of Diabetes and Lipid Metabolism, National Cerebral & Cardiovascular Center, Suita, Osaka, Japan
| | - Michio Noguchi
- Division of Diabetes and Lipid Metabolism, National Cerebral & Cardiovascular Center, Suita, Osaka, Japan
| | - Kota Murai
- Department of Cardiovascular Medicine, National Cerebral & Cardiovascular Centre, Suita, Osaka, Japan
| | - Kenichiro Sawada
- Department of Cardiovascular Medicine, National Cerebral & Cardiovascular Centre, Suita, Osaka, Japan
| | - Takamasa Iwai
- Department of Cardiovascular Medicine, National Cerebral & Cardiovascular Centre, Suita, Osaka, Japan
| | - Hideo Matama
- Department of Cardiovascular Medicine, National Cerebral & Cardiovascular Centre, Suita, Osaka, Japan
| | - Satoshi Honda
- Department of Cardiovascular Medicine, National Cerebral & Cardiovascular Centre, Suita, Osaka, Japan
| | - Masashi Fujino
- Victorian Heart Institute, Monash University, Melbourne, Australia
| | - Kazuhiro Nakao
- Department of Cardiovascular Medicine, National Cerebral & Cardiovascular Centre, Suita, Osaka, Japan
| | - Shuichi Yoneda
- Department of Cardiovascular Medicine, National Cerebral & Cardiovascular Centre, Suita, Osaka, Japan
| | - Kensuke Takagi
- Department of Cardiovascular Medicine, National Cerebral & Cardiovascular Centre, Suita, Osaka, Japan
| | - Fumiyuki Otsuka
- Department of Cardiovascular Medicine, National Cerebral & Cardiovascular Centre, Suita, Osaka, Japan
| | - Yasuhide Asaumi
- Department of Cardiovascular Medicine, National Cerebral & Cardiovascular Centre, Suita, Osaka, Japan
| | - Kiminori Hosoda
- Division of Diabetes and Lipid Metabolism, National Cerebral & Cardiovascular Center, Suita, Osaka, Japan
| | | | - Satoshi Yasuda
- Department of Cardiovascular Medicine, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Teruo Noguchi
- Department of Cardiovascular Medicine, National Cerebral & Cardiovascular Centre, Suita, Osaka, Japan
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Feldbauer R, Heinzl MW, Klammer C, Resl M, Pohlhammer J, Rosenberger K, Almesberger V, Obendorf F, Schinagl L, Wagner T, Egger M, Dieplinger B, Clodi M. Effect of repeated bolus and continuous glucose infusion on a panel of circulating biomarkers in healthy volunteers. PLoS One 2022; 17:e0279308. [PMID: 36574434 PMCID: PMC9794098 DOI: 10.1371/journal.pone.0279308] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2022] [Accepted: 12/02/2022] [Indexed: 12/29/2022] Open
Abstract
HYPOTHESIS Glycaemic variability (GV) refers to fluctuations in the blood glucose level and may contribute to complications in patients suffering from Diabetes. Several studies show negative effects of GV on the cardiovascular system, however there is still a lack of conclusive evidence. Using an explorative cardiovascular panel, it is possible to simultaneously measure the effects on proteins relevant for cardiovascular processes. The aim of this study was to investigate the effects of rapid glucose excursions on cardiovascular and metabolic parameters in healthy individuals. METHODS An explorative single-blinded cross-over study was performed in ten healthy men. Subjects received 3 times 20 grams of glucose i.v. over 5 minutes or 60 grams of glucose continuously over 3 hours. Blood was taken for repeated measurements of the cardiovascular panel over the following 6 hours and again after 24 and 48 hours. RESULTS We observed a significant elevation of 7 cardiovascular biomarkers (BMP6, SLAMF7, LOX-1, ADAMTS13, IL-1RA, IL-4RA, PTX3) at t = 360min after rapid glucose infusion compared to a continuous glucose infusion. CONCLUSIONS Intraday GV seems to have acute effects on cardiovascular proteins in healthy test persons. Rapid glucose administration compared to continuous administration showed significant changes in BMP6, SLAMF7, ADAMTS13, IL1RA, PTX3, IL-4RA and LOX-1. CLINICAL TRIAL REGISTRATION NCT04488848.
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Affiliation(s)
- Roland Feldbauer
- Department of Internal Medicine, St. John of God Hospital Linz, Linz, Austria
| | - Matthias Wolfgang Heinzl
- Department of Internal Medicine, St. John of God Hospital Linz, Linz, Austria
- ICMR–Institute for Cardiovascular and Metabolic Research, Johannes Kepler Universität Linz (JKU Linz), Linz, Austria
| | - Carmen Klammer
- Department of Internal Medicine, St. John of God Hospital Linz, Linz, Austria
- ICMR–Institute for Cardiovascular and Metabolic Research, Johannes Kepler Universität Linz (JKU Linz), Linz, Austria
| | - Michael Resl
- Department of Internal Medicine, St. John of God Hospital Linz, Linz, Austria
- ICMR–Institute for Cardiovascular and Metabolic Research, Johannes Kepler Universität Linz (JKU Linz), Linz, Austria
| | - Johannes Pohlhammer
- Department of Internal Medicine, St. John of God Hospital Linz, Linz, Austria
| | | | - Verena Almesberger
- Department of Internal Medicine, St. John of God Hospital Linz, Linz, Austria
| | - Florian Obendorf
- Department of Internal Medicine, St. John of God Hospital Linz, Linz, Austria
| | - Lukas Schinagl
- Department of Internal Medicine, St. John of God Hospital Linz, Linz, Austria
| | - Thomas Wagner
- Department of Internal Medicine, St. John of God Hospital Linz, Linz, Austria
| | - Margot Egger
- Department of Laboratory Medicine, Ordensklinikum Linz, Linz, Austria
| | | | - Martin Clodi
- Department of Internal Medicine, St. John of God Hospital Linz, Linz, Austria
- ICMR–Institute for Cardiovascular and Metabolic Research, Johannes Kepler Universität Linz (JKU Linz), Linz, Austria
- * E-mail:
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Dong Z, Zhao Y, Chen Y, Liu Z, Song H, Li H, Shi D, Zhou C, Zhou J, Liu R. Evaluating Atherosclerosis of the Abdominal Aorta in Rabbits Using 2-D Strain Imaging. ULTRASOUND IN MEDICINE & BIOLOGY 2022; 48:2199-2206. [PMID: 35953348 DOI: 10.1016/j.ultrasmedbio.2022.05.029] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/02/2022] [Revised: 05/05/2022] [Accepted: 05/22/2022] [Indexed: 06/15/2023]
Abstract
After establishment of an animal model of atherosclerosis, speckle tracking imaging was performed to analyze the correlation between ultrasound characteristics and pathological manifestations. Rabbits were divided into the normal control (NC) and atherosclerosis (AS) groups. Rabbits in the AS group were subjected to ultrasound-guided balloon injury of the abdominal aorta and fed a high-fat diet for 16 wk. Rabbits in the NC group were fed a normal diet for the same period. After 16 wk, all animals underwent serological tests, ultrasound and speckle tracking circumferential strain analysis. In the AS group, 28 hypo-echoic plaques had formed. The circumferential strain of six segments at the short axis of plaques in the AS group was lower than that in the NC group (p < 0.001), and global circumferential strain (GCS) in the AS group was significantly reduced compared with the NC group (p < 0.001). In the AS group, the area ratio of type I to type III collagen fibers was smaller than that in the NC group. The GCS of atherosclerotic plaques was positively correlated with the area ratio of type I to type III collagen fibers in plaques (r = 0.7181, p < 0.001). In conclusion, there is a significant positive correlation between the decreased circumferential strain and the decreased area ratio of type I to type III collagen fibers in hypo-echoic plaques.
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Affiliation(s)
- Zhizhi Dong
- Department of Ultrasound, First College of Clinical Medical Sciences, China Three Gorges University & Yichang Central People's Hospital, Yichang, China; Central Laboratory, First College of Clinical Medical Science, China Three Gorges University & Yichang Central People's Hospital, Yichang, China
| | - Yun Zhao
- Medical College of China Three Gorges University, Yichang, China
| | - Yue Chen
- Department of Ultrasound, First College of Clinical Medical Sciences, China Three Gorges University & Yichang Central People's Hospital, Yichang, China; Central Laboratory, First College of Clinical Medical Science, China Three Gorges University & Yichang Central People's Hospital, Yichang, China
| | - Zulin Liu
- Department of Ultrasound, First College of Clinical Medical Sciences, China Three Gorges University & Yichang Central People's Hospital, Yichang, China
| | - Haiying Song
- Department of Ultrasound, First College of Clinical Medical Sciences, China Three Gorges University & Yichang Central People's Hospital, Yichang, China
| | - Hao Li
- Department of Gastrointestinal Surgery, First College of Clinical Medical Sciences, China Three Gorges University & Yichang Central People's Hospital, Yichang, China
| | - Douzi Shi
- Department of Ultrasound, First College of Clinical Medical Sciences, China Three Gorges University & Yichang Central People's Hospital, Yichang, China; Central Laboratory, First College of Clinical Medical Science, China Three Gorges University & Yichang Central People's Hospital, Yichang, China
| | - Chang Zhou
- Department of Ultrasound, First College of Clinical Medical Sciences, China Three Gorges University & Yichang Central People's Hospital, Yichang, China
| | - Jun Zhou
- Department of Ultrasound, First College of Clinical Medical Sciences, China Three Gorges University & Yichang Central People's Hospital, Yichang, China
| | - Rong Liu
- Department of Ultrasound, First College of Clinical Medical Sciences, China Three Gorges University & Yichang Central People's Hospital, Yichang, China.
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Zhang L, Li F, Liu HH, Zhang ZY, Yang F, Qian LL, Wang RX. Glycaemic variability and risk of adverse cardiovascular events in acute coronary syndrome. Diab Vasc Dis Res 2022; 19:14791641221137736. [PMID: 36341514 PMCID: PMC9643761 DOI: 10.1177/14791641221137736] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/08/2022] Open
Abstract
OBJECTIVE The relationship between different glycaemic variability (GV) indexes and adverse cardiovascular outcomes is not well understood. This study aims to determine whether GV is related to the occurrence of adverse cardiovascular events in patients with acute coronary syndrome (ACS). METHODS PubMed, EMBASE, and Web of Science were comprehensively searched from the establishment of databases to 29 June 2022. The relationship between two important GV indexes, including the mean amplitude of glycemic excursion (MAGE) and standard deviation (SD), and the adverse cardiovascular events in ACS patients were evaluated, respectively. RESULTS A total of 11 studies with 3709 ACS patients were included. Pooled results showed that patients with higher GV had significantly increased risk of adverse cardiovascular events, including MAGE (relative risk [RR] = 1.76, 95% CI: 1.40 to 2.22, p < 0.001, I2 = 25%) and SD (RR = 2.14, 95% CI: 1.73 to 2.66, p < 0.001, I2 = 0%). CONCLUSIONS Increased GV is related to the poor prognosis in patients with ACS. Additionally, more well-designed studies comparing different indicators of GV with adverse cardiovascular events in ACS patients are still warranted.
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Affiliation(s)
- Lei Zhang
- Department of Cardiology, Wuxi People’s Hospital Affiliated to
Nanjing Medical University, Wuxi, China
| | - Feng Li
- Department of Cardiology, Wuxi People’s Hospital Affiliated to
Nanjing Medical University, Wuxi, China
| | - Huan-Huan Liu
- Wuxi School of Medicine, Jiangnan University, Wuxi, China
| | - Zhi-Yuan Zhang
- Department of Cardiology, Wuxi People’s Hospital Affiliated to
Nanjing Medical University, Wuxi, China
| | - Fan Yang
- Department of Cardiology, Wuxi People’s Hospital Affiliated to
Nanjing Medical University, Wuxi, China
| | - Ling-Ling Qian
- Department of Cardiology, Wuxi People’s Hospital Affiliated to
Nanjing Medical University, Wuxi, China
| | - Ru-Xing Wang
- Department of Cardiology, Wuxi People’s Hospital Affiliated to
Nanjing Medical University, Wuxi, China
- Ru-Xing Wang, Department of Cardiology,
Wuxi People’s Hospital Affiliated to Nanjing Medical University, No. 299,
Qingyang Road, Wuxi 214023, China.
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7
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Wang T, Zhang X, Liu J. Long-Term Glycemic Variability and Risk of Cardiovascular Events in Type 2 Diabetes: A Meta-Analysis. Horm Metab Res 2022; 54:84-93. [PMID: 35130569 DOI: 10.1055/a-1730-5029] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
Long-term glycemic fluctuation has been associated with cardiovascular risk in patients with type 2 diabetes mellitus (T2DM). However, the findings are inconsistent. We performed a meta-analysis to summarize the association between parameters of long-term glycemic variability and risk of cardiovascular events in T2DM patients. Medline, Embase, and Web of Science databases were searched for longitudinal follow-up studies comparing the incidence of cardiovascular events in T2DM patients with higher or lower long-term glycemic variability. A random-effect model incorporating the potential heterogeneity among the included studies was used to pool the results. Twelve follow-up studies with 146 653 T2DM patients were included. The mean follow-up duration was 4.9 years. Pooled results showed that compared to those with the lowest glycemic variability, patients with the highest glycemic variability had significantly increased risk of cardiovascular events, as evidenced by the standard deviation of glycated hemoglobin [HbA1c-SD: relative risk (RR)=1.44, 95% confidence interval (CI): 1.23 to 1.69, p<0.001; I2=70%], HbA1c coefficient of variation (HbA1c-CV: RR=1.46, 95% CI: 1.19 to 1.79. p<0.001; I2=83%), standard deviation of fasting plasma glucose (FPG-SD: RR=1.33, 95% CI: 1.07 to 1.65, p=0.009; I2=0%), and FPG coefficient of variation (FPG-CV: RR=1.29, 95% CI: 1.01 to 1.64, p=0.04; I2=47%). In conclusion, increased long-term glycemic variability may be an independent risk factor for cardiovascular events in T2DM patients.
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Affiliation(s)
- Ting Wang
- Department of Medical Administration, The First Hospital of Hunan University of Chinese Medicine, Changsha, China
| | - Xin Zhang
- Department of Gastroenterology, The Fourth Hospital of Changsha, Changsha, China
| | - Jian Liu
- Department of Emergency, The First Hospital of Hunan University of Chinese Medicine, Changsha, China
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Xiong Z, Xie P, Li J, Chen ZC, Lin Y, Liu M, Zhang S, Zhong X, Zhou H, Zhuang X, Liao X. Visit-to-Visit Fasting Glucose Variability in Young Adulthood and Cardiac Structure and Function at Midlife: The CARDIA Study. Front Cardiovasc Med 2021; 8:687054. [PMID: 34604347 PMCID: PMC8481606 DOI: 10.3389/fcvm.2021.687054] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2021] [Accepted: 06/21/2021] [Indexed: 11/13/2022] Open
Abstract
Glycemic variability was found associated with left ventricular structure and function in type 2 diabetes. But it is still unclear that whether the greater visit-to-visit fasting glucose (FG) variability in young adulthood among the community population is associated with cardiac function alteration and cardiac remodeling at midlife. The community-based prospective cohort study of Coronary Artery Risk in Young Adult (CARDIA) recruited young participants at the baseline age of 18-30 years during the period of 1985-1986 (Year 0). FG was measured at Year 0, 2, 10, 15, 20, and 25. The echocardiographic evaluation of cardiac structure and function was conducted at year 25. A total of 2,600 young adults mean (SD) aged at 24.9 years (3.6) of which 57.3% were women and 46.7% were African Americans had been included in the study. After multivariable adjusted, higher SD of mean FG (SDFG) is associated with lower early peak diastolic septal mitral annular velocity (e') (β [SE], -0.214 [0.080], P < 0.01) and higher E/e' (β [SE], 0.307 [0.094], P < 0.01), and higher coefficient of variation of the mean FG (CVFG) is also associated with lower e' (β [SE], -0.141[0.066], P < 0.05) and higher E/e' (β [SE], 0.204 [0.078], P < 0.01). The higher average real variation of mean FG (ARVFG) is associated with higher E/e' (β [SE], 0.178 [0.085], P < 0.05) and higher left ventricular mass index (LVMI) (β [SE], 1.240 [0.618], P < 0.05). The higher FG variability in young adulthood is associated with the subclinical change of left ventricular (LV) diastolic function at midlife.
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Affiliation(s)
- Zhenyu Xiong
- Department of Cardiology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
- Key Laboratory on Assisted Circulation, Ministry of Health, Guangzhou, China
| | - Peihan Xie
- Department of Ultrasound, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Jiaying Li
- Guangdong Provincial Geriatrics Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Zhi-chong Chen
- Cardiovascular Department, The Sixth Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Yifen Lin
- Department of Cardiology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
- Key Laboratory on Assisted Circulation, Ministry of Health, Guangzhou, China
| | - Menghui Liu
- Department of Cardiology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
- Key Laboratory on Assisted Circulation, Ministry of Health, Guangzhou, China
| | - Shaozhao Zhang
- Department of Cardiology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
- Key Laboratory on Assisted Circulation, Ministry of Health, Guangzhou, China
| | - Xiangbin Zhong
- Department of Cardiology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
- Key Laboratory on Assisted Circulation, Ministry of Health, Guangzhou, China
| | - Huimin Zhou
- Department of Cardiology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
- Key Laboratory on Assisted Circulation, Ministry of Health, Guangzhou, China
| | - Xiaodong Zhuang
- Department of Cardiology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
- Key Laboratory on Assisted Circulation, Ministry of Health, Guangzhou, China
- Center for Information Technology and Statistics, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Xinxue Liao
- Department of Cardiology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
- Key Laboratory on Assisted Circulation, Ministry of Health, Guangzhou, China
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Impact of glucose variability on coronary plaque vulnerability in patients with dysglycemia: A whole coronary analysis with multislice computed tomography. J Cardiol 2021; 79:58-64. [PMID: 34412960 DOI: 10.1016/j.jjcc.2021.08.001] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/28/2021] [Revised: 07/14/2021] [Accepted: 07/20/2021] [Indexed: 12/18/2022]
Abstract
BACKGROUND Dysglycemia is associated with an increased risk of acute coronary syndrome caused by the disruption of vulnerable plaques. The relationship between glycemic variability (GV), which is a component of impaired glucose metabolism, and coronary plaque vulnerability has not been fully elucidated. This study investigated the impact of GV on whole coronary plaque vulnerability using multislice computed tomography (MSCT). METHODS We analyzed 88 patients with dysglycemia who underwent 24 h blood glucose monitoring and MSCT. The mean amplitude of glycemic excursion (MAGE) was calculated as an index of the GV. We defined a CT-derived vulnerable plaque as a plaque with a remodeling index > 1.10 and a mean CT density < 30 HU. We calculated the percentage of low-attenuation plaque (% LAP) as the ratio of the low-attenuation component (CT density < 30HU) volume to the total vessel volume. RESULTS Vulnerable plaques were detected in 27 patients (31%). Patients with vulnerable plaques had higher MAGE (110.0 ± 40.7 vs. 71.7 ± 21.7, p < 0.01) than patients without vulnerable plaques. A univariate logistic regression analysis showed that vulnerable plaques were associated with the MAGE [odds ratio (OR) 1.04, 95% confidence interval (CI), 1.02-1.07, p < 0.01]. In a multivariate model, the MAGE (OR 1.05, 95% CI 1.02-1.07) remained a significant predictor of vulnerable plaque presence. Patients with multivessel-vulnerable plaques had higher MAGE values than those with single-vessel involvement or no vulnerable plaques (132.3 ± 39.4 vs. 102.2 ± 39.7, vs. 71.7 ± 21.7, p < 0.01). The regression analysis showed a positive correlation between MAGE levels and the % LAP (r = 0.55, p < 0.01). In a multiple linear regression analysis, the MAGE was independently associated with the % LAP (β = 0.42, p < 0.01). CONCLUSIONS Increased GV is associated with the presence and extent of vulnerable plaques.
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Alfieri V, Myasoedova VA, Vinci MC, Rondinelli M, Songia P, Massaiu I, Cosentino N, Moschetta D, Valerio V, Ciccarelli M, Marenzi G, Genovese S, Poggio P. The Role of Glycemic Variability in Cardiovascular Disorders. Int J Mol Sci 2021; 22:ijms22168393. [PMID: 34445099 PMCID: PMC8395057 DOI: 10.3390/ijms22168393] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2021] [Revised: 07/30/2021] [Accepted: 07/30/2021] [Indexed: 01/01/2023] Open
Abstract
Diabetes mellitus (DM) is one of the most common and costly disorders that affect humans around the world. Recently, clinicians and scientists have focused their studies on the effects of glycemic variability (GV), which is especially associated with cardiovascular diseases. In healthy subjects, glycemia is a very stable parameter, while in poorly controlled DM patients, it oscillates greatly throughout the day and between days. Clinically, GV could be measured by different parameters, but there are no guidelines on standardized assessment. Nonetheless, DM patients with high GV experience worse cardiovascular disease outcomes. In vitro and in vivo studies showed that high GV causes several detrimental effects, such as increased oxidative stress, inflammation, and apoptosis linked to endothelial dysfunction. However, the evidence that treating GV is beneficial is still scanty. Clinical trials aiming to improve the diagnostic and prognostic accuracy of GV measurements correlated with cardiovascular outcomes are needed. The present review aims to evaluate the clinical link between high GV and cardiovascular diseases, taking into account the underlined biological mechanisms. A clear view of this challenge may be useful to standardize the clinical evaluation and to better identify treatments and strategies to counteract this DM aspect.
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Affiliation(s)
- Valentina Alfieri
- Centro Cardiologico Monzino IRCCS, 20138 Milan, Italy; (V.A.); (V.A.M.); (M.C.V.); (M.R.); (P.S.); (I.M.); (N.C.); (D.M.); (V.V.); (G.M.); (S.G.)
| | - Veronika A. Myasoedova
- Centro Cardiologico Monzino IRCCS, 20138 Milan, Italy; (V.A.); (V.A.M.); (M.C.V.); (M.R.); (P.S.); (I.M.); (N.C.); (D.M.); (V.V.); (G.M.); (S.G.)
| | - Maria Cristina Vinci
- Centro Cardiologico Monzino IRCCS, 20138 Milan, Italy; (V.A.); (V.A.M.); (M.C.V.); (M.R.); (P.S.); (I.M.); (N.C.); (D.M.); (V.V.); (G.M.); (S.G.)
| | - Maurizio Rondinelli
- Centro Cardiologico Monzino IRCCS, 20138 Milan, Italy; (V.A.); (V.A.M.); (M.C.V.); (M.R.); (P.S.); (I.M.); (N.C.); (D.M.); (V.V.); (G.M.); (S.G.)
| | - Paola Songia
- Centro Cardiologico Monzino IRCCS, 20138 Milan, Italy; (V.A.); (V.A.M.); (M.C.V.); (M.R.); (P.S.); (I.M.); (N.C.); (D.M.); (V.V.); (G.M.); (S.G.)
| | - Ilaria Massaiu
- Centro Cardiologico Monzino IRCCS, 20138 Milan, Italy; (V.A.); (V.A.M.); (M.C.V.); (M.R.); (P.S.); (I.M.); (N.C.); (D.M.); (V.V.); (G.M.); (S.G.)
| | - Nicola Cosentino
- Centro Cardiologico Monzino IRCCS, 20138 Milan, Italy; (V.A.); (V.A.M.); (M.C.V.); (M.R.); (P.S.); (I.M.); (N.C.); (D.M.); (V.V.); (G.M.); (S.G.)
| | - Donato Moschetta
- Centro Cardiologico Monzino IRCCS, 20138 Milan, Italy; (V.A.); (V.A.M.); (M.C.V.); (M.R.); (P.S.); (I.M.); (N.C.); (D.M.); (V.V.); (G.M.); (S.G.)
- Dipartimento di Scienze Farmacologiche e Biomolecolari, Università degli Studi di Milano, 20122 Milano, Italy
| | - Vincenza Valerio
- Centro Cardiologico Monzino IRCCS, 20138 Milan, Italy; (V.A.); (V.A.M.); (M.C.V.); (M.R.); (P.S.); (I.M.); (N.C.); (D.M.); (V.V.); (G.M.); (S.G.)
- Dipartimento di Medicina Clinica e Chirurgia, Università degli Studi di Napoli Federico II, 80138 Napoli, Italy
| | - Michele Ciccarelli
- Chirurgia ed Odontoiatria, Dipartimento di Medicina, Università degli Studi di Salerno, 84084 Salerno, Italy;
| | - Giancarlo Marenzi
- Centro Cardiologico Monzino IRCCS, 20138 Milan, Italy; (V.A.); (V.A.M.); (M.C.V.); (M.R.); (P.S.); (I.M.); (N.C.); (D.M.); (V.V.); (G.M.); (S.G.)
| | - Stefano Genovese
- Centro Cardiologico Monzino IRCCS, 20138 Milan, Italy; (V.A.); (V.A.M.); (M.C.V.); (M.R.); (P.S.); (I.M.); (N.C.); (D.M.); (V.V.); (G.M.); (S.G.)
| | - Paolo Poggio
- Centro Cardiologico Monzino IRCCS, 20138 Milan, Italy; (V.A.); (V.A.M.); (M.C.V.); (M.R.); (P.S.); (I.M.); (N.C.); (D.M.); (V.V.); (G.M.); (S.G.)
- Correspondence: ; Tel.: +39-025-800-2853
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11
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Hsu JC, Yang YY, Chuang SL, Yu CC, Lin LY. Higher long-term visit-to-visit glycemic variability predicts new-onset atrial fibrillation in patients with diabetes mellitus. Cardiovasc Diabetol 2021; 20:148. [PMID: 34301257 PMCID: PMC8305511 DOI: 10.1186/s12933-021-01341-3] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/02/2021] [Accepted: 07/09/2021] [Indexed: 11/28/2022] Open
Abstract
Background Atrial fibrillation (AF) is prevalent in patients with type 2 diabetes mellitus (T2DM). Glycemic variability (GV) is associated with risk of micro- and macrovascular diseases. However, whether the GV can increase the risk of AF remains unknown. Methods The cohort study used a database from National Taiwan University Hospital, a tertiary medical center in Taiwan. Between 2014 and 2019, a total of 27,246 adult patients with T2DM were enrolled for analysis. Each individual was assessed to determine the coefficients of variability of fasting glucose (FGCV) and HbA1c variability score (HVS). The GV parameters were categorized into quartiles. Multivariate Cox regression models were employed to estimate the relationship between the GV parameters and the risk of AF, transient ischemic accident (TIA)/ischemic stroke and mortality in patients with T2DM. Results The incidence rates of AF and TIA/ischemic stroke were 21.31 and 13.71 per 1000 person-year respectively. The medium follow-up period was 70.7 months. In Cox regression model with full adjustment, the highest quartile of FGCV was not associated with increased risk of AF [Hazard ratio (HR): 1.12, 95% confidence interval (CI) 0.96–1.29, p = 0.148] or TIA/ischemic stroke (HR: 1.04, 95% CI 0.83–1.31, p = 0.736), but was associated with increased risk of total mortality (HR: 1.33, 95% CI 1.12–1.58, p < 0.001) and non-cardiac mortality (HR: 1.41, 95% CI 1.15–1.71, p < 0.001). The highest HVS was significantly associated with increased risk of AF (HR: 1.29, 95% CI 1.12–1.50, p < 0.001), total mortality (HR: 2.43, 95% CI 2.03–2.90, p < 0.001), cardiac mortality (HR: 1.50, 95% CI 1.06–2.14, p = 0.024) and non-cardiac mortality (HR: 2.80, 95% CI 2.28–3.44, p < 0.001) but was not associated with TIA/ischemic stroke (HR: 0.98, 95% CI 0.78–1.23, p = 0.846). The Kaplan–Meier analysis showed significantly higher risk of AF, cardiac and non-cardiac mortality according to the magnitude of GV (log-rank test, p < 0.001). Conclusions Our data demonstrate that high GV is independently associated with the development of new-onset AF in patients with T2DM. The benefit of maintaining stable glycemic levels to improve clinical outcomes warrants further studies. Supplementary Information The online version contains supplementary material available at 10.1186/s12933-021-01341-3.
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Affiliation(s)
- Jung-Chi Hsu
- Division of Cardiology, Department of Internal Medicine, Camillian Saint Mary's Hospital Luodong, Yilan, Taiwan.,Division of Cardiology, Department of Internal Medicine, National Taiwan University College of Medicine and Hospital, No.7, Chung Shan South Road, 100, Taipei, Taiwan.,Graduate Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, Taipei, Taiwan
| | - Yen-Yun Yang
- Department of Medical Research, National Taiwan University Hospital, Taipei, Taiwan
| | - Shu-Lin Chuang
- Department of Medical Research, National Taiwan University Hospital, Taipei, Taiwan
| | - Chih-Chieh Yu
- Division of Cardiology, Department of Internal Medicine, National Taiwan University College of Medicine and Hospital, No.7, Chung Shan South Road, 100, Taipei, Taiwan.
| | - Lian-Yu Lin
- Division of Cardiology, Department of Internal Medicine, National Taiwan University College of Medicine and Hospital, No.7, Chung Shan South Road, 100, Taipei, Taiwan.
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12
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The relationship between glycemic variability and blood pressure variability in normoglycemic normotensive individuals. Blood Press Monit 2021; 26:102-107. [PMID: 33074929 DOI: 10.1097/mbp.0000000000000491] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
BACKGROUND AND AIM Glycemic fluctuations around a mean glucose level, referred as glycemic variability and blood pressure variability (BPV) are considered as independent risk factors for cardiovascular diseases, all-cause mortality, and cardiovascular disease-mortality. With this background in mind, we aimed to investigate the association between glycemic variability and BPV and their association in normoglycemic and normotensive individuals. MATERIALS AND METHOD Twenty-seven normotensive normoglycemic individuals were recruited. Twenty-four hour Holter devices were utilized to measure ambulatory blood pressure (BP) while continuous glucose monitoring (CGM) devices were applied to measure glycemic variability simultaneously to the subjects. These devices were kept on for 48 h. For BP recordings, daytime, nighttime, and 24-h BP determinations, their mean and SD were calculated. From CGM measurements, mean blood glucose (MBG), SD of blood glucose, the mean amplitude of glycemic excursions (MAGE), the mean of daily differences (MODD), coefficient of variation (correction of variability for the MBG), and daytime and nighttime blood glucose were determined. RESULTS The mean age of the subjects was 23.8 ± 2.7 years and 66% were women (18/27). In the correlation analysis between glycemic variability parameters and BPV parameters, SD of 24-h SBP was correlated with the SD of MBG (r = 0.52, P = 0.006), MAGE (r = 0.49, P = 0.009), and MODD (r = 0.46, P = 0.015). SD of daytime SBP was correlated with, MAGE (r = 0.42, P = 0.03) and MODD (r = 0.43, P = 0.02). CONCLUSION We report correlation between glycemic variability and BPV variables in normoglycemic and normotensive healthy individuals.
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13
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Su G, Gao MX, Shi GL, Dai XX, Yao WF, Zhang T, Zhuang SW. Effect of 1,5-anhydroglucitol levels on culprit plaque rupture in diabetic patients with acute coronary syndrome. Cardiovasc Diabetol 2020; 19:71. [PMID: 32473648 PMCID: PMC7261377 DOI: 10.1186/s12933-020-01045-0] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/10/2020] [Accepted: 05/26/2020] [Indexed: 02/07/2023] Open
Abstract
BACKGROUND Postprandial hyperglycemia was reported to play a key role in established risk factors of coronary artery diseases (CAD) and cardiovascular events. Serum 1,5-anhydroglucitol (1,5-AG) levels are known to be a clinical marker of short-term postprandial glucose (PPG) excursions. Low serum 1,5-AG levels have been associated with occurrence of CAD. However, the relationship between 1,5-AG levels and coronary plaque rupture has not been fully elucidated. The aim of this study was to evaluate 1,5-AG as a predictor of coronary plaque rupture in diabetic patients with acute coronary syndrome (ACS). METHODS A total of 144 diabetic patients with ACS were included in this study. All patients underwent intravascular ultrasound examination, which revealed 49 patients with plaque rupture and 95 patients without plaque rupture in the culprit lesion. Fasting blood glucose (FBG), hemoglobin A1c (HbA1c) and 1,5-AG levels were measured before coronary angiography. Fasting urinary 8-iso-prostaglandin F2α (8-iso-PGF2α) level was measured and corrected by creatinine clearance. RESULTS Patients with ruptured plaque had significantly lower serum 1,5-AG levels, longer duration of diabetes, higher HbA1c and FBG levels than patients without ruptured plaque in our study population. In multivariate analysis, low 1,5-AG levels were an independent predictor of plaque rupture (odds ratio 3.421; P = 0.005) in diabetic patients with ACS. The area under the receiver-operating characteristic curve for 1,5-AG (0.658, P = 0.002) to predict plaque rupture was superior to that for HbA1c (0.587, P = 0.087). Levels of 1,5-AG were significantly correlated with urinary 8-iso-prostaglandin F2α levels (r = - 0.234, P = 0.005). CONCLUSIONS Serum 1,5-AG may identify high risk for coronary plaque rupture in diabetic patients with ACS, which suggests PPG excursions are related to the pathogenesis of plaque rupture in diabetes.
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Affiliation(s)
- Gong Su
- grid.412478.c0000 0004 1760 4628Department of Cardiovascular Medicine, Shanghai General Hospital Baoshan Branch, No. 101 Tongtai North Road, Baoshan District, Shanghai, 200940 China
| | - Ming-Xi Gao
- grid.412478.c0000 0004 1760 4628Department of Cardiovascular Medicine, Shanghai General Hospital Baoshan Branch, No. 101 Tongtai North Road, Baoshan District, Shanghai, 200940 China
| | - Gen-Ling Shi
- grid.412478.c0000 0004 1760 4628Department of Cardiovascular Medicine, Shanghai General Hospital Baoshan Branch, No. 101 Tongtai North Road, Baoshan District, Shanghai, 200940 China
| | - Xi-Xi Dai
- grid.412478.c0000 0004 1760 4628Department of Cardiovascular Medicine, Shanghai General Hospital Baoshan Branch, No. 101 Tongtai North Road, Baoshan District, Shanghai, 200940 China
| | - Wei-Feng Yao
- grid.412478.c0000 0004 1760 4628Department of Cardiovascular Medicine, Shanghai General Hospital Baoshan Branch, No. 101 Tongtai North Road, Baoshan District, Shanghai, 200940 China
| | - Tao Zhang
- grid.24696.3f0000 0004 0369 153XCenter of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, 100029 China
| | - Shao-Wei Zhuang
- grid.412540.60000 0001 2372 7462Department of Cardiovascular Medicine, The Seventh People’s Hospital, Shanghai University of Traditional Chinese Medicine, No. 358 Gaoqiaodatong Road, Pudong District, Shanghai, 200137 China
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14
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Pu Z, Lai L, Yang X, Wang Y, Dong P, Wang D, Xie Y, Han Z. Acute glycemic variability on admission predicts the prognosis in hospitalized patients with coronary artery disease: a meta-analysis. Endocrine 2020; 67:526-534. [PMID: 31828526 DOI: 10.1007/s12020-019-02150-1] [Citation(s) in RCA: 26] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/01/2019] [Accepted: 11/23/2019] [Indexed: 02/07/2023]
Abstract
PURPOSE Increased glycemic variability has been related with poor prognosis in patients with coronary artery disease (CAD). However, whether diabetic status or subtype of CAD could affect the association remains unknown. We performed a meta-analysis to systematically evaluate the association between the mean amplitude of glycemic excursions (MAGE) on continuous glucose monitoring and the incidence of major adverse cardiovascular events (MACEs) in CAD patients. METHODS Relevant prospective cohort studies were identified through search of PubMed, Embase, WanFang, and CNKI databases. A random-effect model was used to pool the results. Subgroup analyses were performed to evaluate the influences of the predefined study characteristics on the outcome. RESULTS Eleven cohort studies with 2666 hospitalized patients with acute coronary syndrome (ACS) or stable CAD for percutaneous coronary intervention were included. Pooled results showed that higher MAGE at admission was associated with higher incidence of MACEs during follow-up (adjusted relative risk [RR]: 1.84, p < 0.001; I2 = 12%). Stratified analyses showed that the association between higher MAGE and higher risk of MACEs in CAD patients were consistent in patients with or without diabetes, and in those with ACS or stable CAD (p for subgroup difference both >0.05). Significant publication bias was detected (p = 0.041). Trim-and-fill analysis retrieved three studies to generate symmetrical funnel plots. Meta-analysis that incorporated these studies showed similar results (RR: 1.80, p < 0.001). CONCLUSIONS Increased glycemic variability may be associated with poor prognosis in CAD patients regardless of the diabetic status and the subtype of CAD.
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Affiliation(s)
- Zhaokun Pu
- Department of Cardiology, The First Affiliated Hospital, and College of Clinical Medicine of Henan University of Science and Technology, Luoyang, 471003, China
| | - Lihong Lai
- Department of Cardiology, The First Affiliated Hospital, and College of Clinical Medicine of Henan University of Science and Technology, Luoyang, 471003, China.
| | - Xishan Yang
- Department of Cardiology, The First Affiliated Hospital, and College of Clinical Medicine of Henan University of Science and Technology, Luoyang, 471003, China
| | - Yanyu Wang
- Department of Cardiology, The First Affiliated Hospital, and College of Clinical Medicine of Henan University of Science and Technology, Luoyang, 471003, China
| | - Pingshuan Dong
- Department of Cardiology, The First Affiliated Hospital, and College of Clinical Medicine of Henan University of Science and Technology, Luoyang, 471003, China
| | - Dan Wang
- Department of Cardiology, The First Affiliated Hospital, and College of Clinical Medicine of Henan University of Science and Technology, Luoyang, 471003, China
| | - Yingli Xie
- Department of Cardiology, The First Affiliated Hospital, and College of Clinical Medicine of Henan University of Science and Technology, Luoyang, 471003, China
| | - Zesen Han
- Department of Cardiology, The First Affiliated Hospital, and College of Clinical Medicine of Henan University of Science and Technology, Luoyang, 471003, China
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