Predictors of Cardiovascular Autonomic Neuropathy Onset and Progression in a Cohort of Type 1 Diabetic Patients
Aim. The prevalence of cardiovascular autonomic neuropathy (CAN) in diabetes mellitus is well documented. However, the rate and predictors of both the development and progression of CAN have been less studied. Hereby, we assessed the rate and the major risk factors for CAN initiation and progression...
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Published in: | Journal of diabetes research Vol. 2018; no. 2018; pp. 1 - 8 |
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Main Authors: | , , , , , , , |
Format: | Journal Article |
Language: | English |
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Cairo, Egypt
Hindawi Publishing Corporation
01-01-2018
Hindawi Hindawi Limited |
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Abstract | Aim. The prevalence of cardiovascular autonomic neuropathy (CAN) in diabetes mellitus is well documented. However, the rate and predictors of both the development and progression of CAN have been less studied. Hereby, we assessed the rate and the major risk factors for CAN initiation and progression in a cohort of type 1 diabetic patients followed over a three-year period. Methods. 175 type 1 diabetic patients (mean age: 50 ± 11 years; female/male: 76/99) with positive bedside screening for CAN were included and underwent 2 standardized autonomic testings using 4 standardized tests (deep breathing, Valsalva maneuver, 30/15 ratio, and changes in blood pressure during standing), separated by 3 ± 1 years. CAN staging was achieved according to the Toronto Consensus Panel on Diabetic Autonomic Neuropathy into 4 categories: absent, possible, confirmed, or severe CAN. Results. Out of the 175 patients included, 31.4% were free of CAN, 34.2% had possible CAN, 24.6% had confirmed CAN, and 9.7% exhibited severe CAN at the first assessment. Among the 103 patients with nonsevere CAN at inclusion, forty-one (39.8%) had an increase of at least one category when reassessed and 62 (60.2%) remained stable. A bivariate analysis indicated that only BMI and exposure to selective serotonin reuptake inhibitors (SSRIs) were significantly different in both groups. A multivariate analysis indicated that lower BMI (OR: 0.15, CI 95%: 0.05–0.48, p=0.003) and SSRI exposure (OR: 4.18, CI 95%: 1.03–16.97, p=0.04) were the sole predictors of CAN deterioration. In the 55 patients negative for CAN at the first laboratory assessment, 12 became positive at the second assessment. Conclusion. No clear predictive factor for CAN onset was identified. However, once present, CAN progression was related to low BMI and SSRI exposure. |
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AbstractList | Aim. The prevalence of cardiovascular autonomic neuropathy (CAN) in diabetes mellitus is well documented. However, the rate and predictors of both the development and progression of CAN have been less studied. Hereby, we assessed the rate and the major risk factors for CAN initiation and progression in a cohort of type 1 diabetic patients followed over a three-year period. Methods. 175 type 1 diabetic patients (mean age: 50 ± 11 years; female/male: 76/99) with positive bedside screening for CAN were included and underwent 2 standardized autonomic testings using 4 standardized tests (deep breathing, Valsalva maneuver, 30/15 ratio, and changes in blood pressure during standing), separated by 3 ± 1 years. CAN staging was achieved according to the Toronto Consensus Panel on Diabetic Autonomic Neuropathy into 4 categories: absent, possible, confirmed, or severe CAN. Results. Out of the 175 patients included, 31.4% were free of CAN, 34.2% had possible CAN, 24.6% had confirmed CAN, and 9.7% exhibited severe CAN at the first assessment. Among the 103 patients with nonsevere CAN at inclusion, forty-one (39.8%) had an increase of at least one category when reassessed and 62 (60.2%) remained stable. A bivariate analysis indicated that only BMI and exposure to selective serotonin reuptake inhibitors (SSRIs) were significantly different in both groups. A multivariate analysis indicated that lower BMI (OR: 0.15, CI 95%: 0.05–0.48, p=0.003) and SSRI exposure (OR: 4.18, CI 95%: 1.03–16.97, p=0.04) were the sole predictors of CAN deterioration. In the 55 patients negative for CAN at the first laboratory assessment, 12 became positive at the second assessment. Conclusion. No clear predictive factor for CAN onset was identified. However, once present, CAN progression was related to low BMI and SSRI exposure. Aim . The prevalence of cardiovascular autonomic neuropathy (CAN) in diabetes mellitus is well documented. However, the rate and predictors of both the development and progression of CAN have been less studied. Hereby, we assessed the rate and the major risk factors for CAN initiation and progression in a cohort of type 1 diabetic patients followed over a three-year period. Methods . 175 type 1 diabetic patients (mean age: 50 ± 11 years; female/male: 76/99) with positive bedside screening for CAN were included and underwent 2 standardized autonomic testings using 4 standardized tests (deep breathing, Valsalva maneuver, 30/15 ratio, and changes in blood pressure during standing), separated by 3 ± 1 years. CAN staging was achieved according to the Toronto Consensus Panel on Diabetic Autonomic Neuropathy into 4 categories: absent, possible, confirmed, or severe CAN. Results . Out of the 175 patients included, 31.4% were free of CAN, 34.2% had possible CAN, 24.6% had confirmed CAN, and 9.7% exhibited severe CAN at the first assessment. Among the 103 patients with nonsevere CAN at inclusion, forty-one (39.8%) had an increase of at least one category when reassessed and 62 (60.2%) remained stable. A bivariate analysis indicated that only BMI and exposure to selective serotonin reuptake inhibitors (SSRIs) were significantly different in both groups. A multivariate analysis indicated that lower BMI (OR: 0.15, CI 95%: 0.05–0.48, p = 0.003 ) and SSRI exposure (OR: 4.18, CI 95%: 1.03–16.97, p = 0.04 ) were the sole predictors of CAN deterioration. In the 55 patients negative for CAN at the first laboratory assessment, 12 became positive at the second assessment. Conclusion . No clear predictive factor for CAN onset was identified. However, once present, CAN progression was related to low BMI and SSRI exposure. The prevalence of cardiovascular autonomic neuropathy (CAN) in diabetes mellitus is well documented. However, the rate and predictors of both the development and progression of CAN have been less studied. Hereby, we assessed the rate and the major risk factors for CAN initiation and progression in a cohort of type 1 diabetic patients followed over a three-year period. 175 type 1 diabetic patients (mean age: 50 ± 11 years; female/male: 76/99) with positive bedside screening for CAN were included and underwent 2 standardized autonomic testings using 4 standardized tests (deep breathing, Valsalva maneuver, 30/15 ratio, and changes in blood pressure during standing), separated by 3 ± 1 years. CAN staging was achieved according to the Toronto Consensus Panel on Diabetic Autonomic Neuropathy into 4 categories: absent, possible, confirmed, or severe CAN. Out of the 175 patients included, 31.4% were free of CAN, 34.2% had possible CAN, 24.6% had confirmed CAN, and 9.7% exhibited severe CAN at the first assessment. Among the 103 patients with nonsevere CAN at inclusion, forty-one (39.8%) had an increase of at least one category when reassessed and 62 (60.2%) remained stable. A bivariate analysis indicated that only BMI and exposure to selective serotonin reuptake inhibitors (SSRIs) were significantly different in both groups. A multivariate analysis indicated that lower BMI (OR: 0.15, CI 95%: 0.05-0.48, = 0.003) and SSRI exposure (OR: 4.18, CI 95%: 1.03-16.97, = 0.04) were the sole predictors of CAN deterioration. In the 55 patients negative for CAN at the first laboratory assessment, 12 became positive at the second assessment. No clear predictive factor for CAN onset was identified. However, once present, CAN progression was related to low BMI and SSRI exposure. |
Author | Hanaire, H. Perez-Lloret, S. Matta, M. Nasr, N. Laporte, C. Pavy-Le Traon, A. Berdugo, I. Senard, J. M. |
AuthorAffiliation | 3 Institut des Maladies Métaboliques et Cardiovasculaires, INSERM, Université de Toulouse, 1 avenue Jean Poulhès, BP 84225, 31432 Toulouse Cedex 4, France 2 Service de Neurologie, Hôpital Pierre-Paul Riquet, Place du Docteur Baylac-TSA 40031, 31059 Toulouse Cedex 9, France 5 Service de Pharmacologie Clinique, Faculté de Médecine, CHU de Toulouse, 37 allées Jules Guesde, 31000 Toulouse, France 1 Service de Diabétologie et maladies métaboliques, CHU de Toulouse, 1 avenue Jean Poulhès, 31059 Toulouse Cedex 9, France 4 Institute of Cardiology Research, University of Buenos Aires, National Research Council (CONICET-ININCA), Buenos Aires, Argentina |
AuthorAffiliation_xml | – name: 2 Service de Neurologie, Hôpital Pierre-Paul Riquet, Place du Docteur Baylac-TSA 40031, 31059 Toulouse Cedex 9, France – name: 3 Institut des Maladies Métaboliques et Cardiovasculaires, INSERM, Université de Toulouse, 1 avenue Jean Poulhès, BP 84225, 31432 Toulouse Cedex 4, France – name: 1 Service de Diabétologie et maladies métaboliques, CHU de Toulouse, 1 avenue Jean Poulhès, 31059 Toulouse Cedex 9, France – name: 5 Service de Pharmacologie Clinique, Faculté de Médecine, CHU de Toulouse, 37 allées Jules Guesde, 31000 Toulouse, France – name: 4 Institute of Cardiology Research, University of Buenos Aires, National Research Council (CONICET-ININCA), Buenos Aires, Argentina |
Author_xml | – sequence: 1 fullname: Senard, J. M. – sequence: 2 fullname: Nasr, N. – sequence: 3 fullname: Berdugo, I. – sequence: 4 fullname: Laporte, C. – sequence: 5 fullname: Perez-Lloret, S. – sequence: 6 fullname: Pavy-Le Traon, A. – sequence: 7 fullname: Matta, M. – sequence: 8 fullname: Hanaire, H. |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/29693021$$D View this record in MEDLINE/PubMed |
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CitedBy_id | crossref_primary_10_1039_D3NA00327B crossref_primary_10_1007_s40292_024_00623_7 crossref_primary_10_1055_a_1158_9130 crossref_primary_10_1111_cns_14497 crossref_primary_10_1123_jpah_2020_0194 crossref_primary_10_1002_dmrr_3702 |
Cites_doi | 10.1016/0002-9343(94)90304-2 10.2337/diacare.16.5.773 10.1111/j.1464-5491.1992.tb01898.x 10.1007/s00125-014-3211-2 10.1007/s00125-004-1617-y 10.1016/S0895-7061(97)00472-X 10.1161/CIRCULATIONAHA.108.837369 10.2337/diacare.24.2.339 10.2337/dc13-2114 10.2337/diacare.19.7.751 10.1016/j.jdiacomp.2010.06.001 10.1016/S0300-595X(86)80078-0 10.1007/s10286-010-0062-x 10.1002/dmrr.1239 10.1046/j.1464-5491.2002.00821.x 10.1016/S0026-0495(03)00095-7 10.1016/S0167-5273(02)00346-7 10.2337/dc14-0445 10.1017/S0033291715002779 10.1111/j.1445-5994.2010.02295.x 10.1097/00041552-200303000-00003 10.1002/pds.1608 10.1111/pedi.12130 10.1093/oxfordjournals.qjmed.a068470 10.2337/diacare.29.02.06.dc05-1242 10.1038/sj.ki.5002481 |
ContentType | Journal Article |
Copyright | Copyright © 2018 M. Matta et al. Copyright © 2018 M. Matta et al. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. Copyright © 2018 M. Matta et al. 2018 |
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Snippet | Aim. The prevalence of cardiovascular autonomic neuropathy (CAN) in diabetes mellitus is well documented. However, the rate and predictors of both the... The prevalence of cardiovascular autonomic neuropathy (CAN) in diabetes mellitus is well documented. However, the rate and predictors of both the development... Aim . The prevalence of cardiovascular autonomic neuropathy (CAN) in diabetes mellitus is well documented. However, the rate and predictors of both the... |
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SubjectTerms | Adult Age Autonomic Nervous System - physiopathology Autonomic Nervous System Diseases - diagnosis Autonomic Nervous System Diseases - etiology Autonomic Nervous System Diseases - physiopathology Blood pressure Body Mass Index Cardiac stress tests Cardiovascular Diseases - diagnosis Cardiovascular Diseases - etiology Cardiovascular Diseases - physiopathology Cardiovascular System - innervation Chi-Square Distribution Diabetes Diabetes Mellitus, Type 1 - complications Diabetes Mellitus, Type 1 - diagnosis Diabetic Neuropathies - diagnosis Diabetic Neuropathies - etiology Diabetic Neuropathies - physiopathology Diabetic neuropathy Disease Progression Erectile dysfunction Female Humans Hypertension Hypotension Insulin Ischemia Laboratories Logistic Models Male Middle Aged Multivariate Analysis Neurologic Examination Odds Ratio Peripheral neuropathy Risk Factors Serotonin Uptake Inhibitors - adverse effects Smoking Statistical analysis Time Factors Variables |
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Title | Predictors of Cardiovascular Autonomic Neuropathy Onset and Progression in a Cohort of Type 1 Diabetic Patients |
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