Association between hemoglobin glycation index and subclinical myocardial injury in the general population free from cardiovascular disease |
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| Affiliation: | 1. Department of Cardiology, Zhongda Hospital, School of Medicine, Southeast University, Nanjing 210009, China;2. Department of Cardiology, Affiliated Nanjing Drum Tower Hospital of Nanjing University Medical School, Nanjing 210008, China;3. College of Basic Medicine and Clinical Pharmacy, China Pharmaceutical University, Nanjing 210000, China;1. Unit of Internal Medicine, Fondazione IRCCS Casa Sollievo della Sofferenza, San Giovanni Rotondo (FG), Italy;2. Geriatrics Residency School, University of Foggia, Foggia (FG), Italy;3. Unit of Cardiology, Fondazione IRCCS Casa Sollievo della Sofferenza, San Giovanni Rotondo (FG), Italy;4. Internal Medicine Residency School, University of Foggia, Foggia (FG), Italy;5. Unit of Biostatistics, Fondazione IRCCS Casa Sollievo della Sofferenza, San Giovanni Rotondo, Foggia, Italy;6. Università degli Studi and IRCCS Ospedale Policlinico San Martino, Genoa, Italy;1. Department of Cardiology, IRCCS MultiMedica, Milan, Italy;2. Department of Gynecology and Obstetrics, IRCCS MultiMedica, Milan, Italy;3. Department of Endocrinology, Nutrition and Metabolic Diseases, IRCCS MultiMedica, Sesto San Giovanni, Milan, Italy;4. Department of Biomedical Sciences for Health, University of Milan, Milan, Italy;5. Department of Cardiology, Policlinico San Giorgio, Pordenone, Italy;1. Diabetology, Careggi Hospital and University of Florence, Italy;2. Endocrinology and Metabolic Diseases Unit, AO SS. Antonio e Biagio e Cesare Arrigo, Alessandria, Italy;3. SSD Diabetes Unit, Niguarda Ca'' Granda Hospital, Milan, Italy;4. Endocrinology, Diabetes and Metabolism, University of Verona, Italy;5. Diabetes Centre District 3, Azienda Sanitaria Universitaria Integrata di Trieste, Via Puccini 48/50, 34100, Trieste, Italy;6. Centro per le Malattie Endocrine e Metaboliche, Fondazione Policlinico Universitario A. Gemelli UCSC and Università Cattolica del Sacro Cuore, Rome, Italy;1. Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China;2. School of Public Health, Baotou Medical College, Baotou, Inner Mongolia, China;3. Municipal Key Laboratory of Clinical Epidemiology, Beijing, China;1. Department of Cardiovascular Medicine, The University of Tokyo, Tokyo, Japan;2. Department of Clinical Laboratory, The University of Tokyo, Tokyo, Japan;3. Department of Medicine, Columbia University, New York, NY, USA;1. Department of Radiation Oncology, Tata Medical Center, Kolkata, India;2. Department of Clinical Oncology, Arden Cancer Centre, University Hospitals Coventry and Warwickshire NHS Trust, Coventry, UK |
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| Abstract: | Background and aimsThe relationship between hemoglobin glycation index (HGI) and the diagnosis and prognosis of cardiovascular disease (CVD) has been verified by previous studies. However, it remains unknown whether HGI has a predictive effect on subclinical myocardial injury (SC–MI). The purpose of the present study was to explore the relationship between HGI and SC–MI in the general population free from CVD.Methods and resultsThe present study included 6009 participants free of CVD from the third National Health and Nutrition Examination Survey. Binary Logistic regression analysis was used to tested the association between HGI and SC–MI. As results, the HGI was significantly higher in participants with SC–MI compared with those without, and the HGI was positively correlated with SC–MI and other metabolic disorder parameters. Each 1-unit increase of HGI and glycated hemoglobin A1c (HbA1c) was independently associated with higher risk of SC–MI (P < 0.05), while fasting plasma glucose (FPG) was no longer a predictive indicator of SC–MI with the increase of confounding factors [OR (95% CI): 1.001 (0.999–1.003), P = 0.305]. And in the subgroup analysis, HGI, only in participants without diabetes, was independently associated with higher risk of SC–MI, while HbA1c and FPG had no independent predictive role in both diabetic and non-diabetic participants.ConclusionsHGI was a significant predictor of SC–MI in the general population free from CVD. |
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| Keywords: | Hemoglobin glycation index Subclinical myocardial injury Cardiac infarction/injury score |
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