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Deng Y, Ma Y, Fu J, Wang X, Yu C, Lv J, Man S, Wang B, Li L. Combinatorial Use of Machine Learning and Logistic Regression for Predicting Carotid Plaque Risk Among 5.4 Million Adults With Fatty Liver Disease Receiving Health Check-Ups: Population-Based Cross-Sectional Study. JMIR Public Health Surveill 2023; 9:e47095. [PMID: 37676713 PMCID: PMC10514774 DOI: 10.2196/47095] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2023] [Revised: 04/28/2023] [Accepted: 07/25/2023] [Indexed: 09/08/2023] Open
Abstract
BACKGROUND Carotid plaque can progress into stroke, myocardial infarction, etc, which are major global causes of death. Evidence shows a significant increase in carotid plaque incidence among patients with fatty liver disease. However, unlike the high detection rate of fatty liver disease, screening for carotid plaque in the asymptomatic population is not yet prevalent due to cost-effectiveness reasons, resulting in a large number of patients with undetected carotid plaques, especially among those with fatty liver disease. OBJECTIVE This study aimed to combine the advantages of machine learning (ML) and logistic regression to develop a straightforward prediction model among the population with fatty liver disease to identify individuals at risk of carotid plaque. METHODS Our study included 5,420,640 participants with fatty liver from Meinian Health Care Center. We used random forest, elastic net (EN), and extreme gradient boosting ML algorithms to select important features from potential predictors. Features acknowledged by all 3 models were enrolled in logistic regression analysis to develop a carotid plaque prediction model. Model performance was evaluated based on the area under the receiver operating characteristic curve, calibration curve, Brier score, and decision curve analysis both in a randomly split internal validation data set, and an external validation data set comprising 32,682 participants from MJ Health Check-up Center. Risk cutoff points for carotid plaque were determined based on the Youden index, predicted probability distribution, and prevalence rate of the internal validation data set to classify participants into high-, intermediate-, and low-risk groups. This risk classification was further validated in the external validation data set. RESULTS Among the participants, 26.23% (1,421,970/5,420,640) were diagnosed with carotid plaque in the development data set, and 21.64% (7074/32,682) were diagnosed in the external validation data set. A total of 6 features, including age, systolic blood pressure, low-density lipoprotein cholesterol (LDL-C), total cholesterol, fasting blood glucose, and hepatic steatosis index (HSI) were collectively selected by all 3 ML models out of 27 predictors. After eliminating the issue of collinearity between features, the logistic regression model established with the 5 independent predictors reached an area under the curve of 0.831 in the internal validation data set and 0.801 in the external validation data set, and showed good calibration capability graphically. Its predictive performance was comprehensively competitive compared with the single use of either logistic regression or ML algorithms. Optimal predicted probability cutoff points of 25% and 65% were determined for classifying individuals into low-, intermediate-, and high-risk categories for carotid plaque. CONCLUSIONS The combination of ML and logistic regression yielded a practical carotid plaque prediction model, and was of great public health implications in the early identification and risk assessment of carotid plaque among individuals with fatty liver.
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Affiliation(s)
- Yuhan Deng
- Chongqing Research Institute of Big Data, Peking University, Chongqing, China
- Meinian Institute of Health, Beijing, China
| | - Yuan Ma
- School of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Jingzhu Fu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
- Peking University Health Science Center Meinian Public Health Institute, Beijing, China
- Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing, China
| | | | - Canqing Yu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
- Peking University Health Science Center Meinian Public Health Institute, Beijing, China
- Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing, China
- Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing, China
| | - Jun Lv
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
- Peking University Health Science Center Meinian Public Health Institute, Beijing, China
- Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing, China
- Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing, China
| | - Sailimai Man
- Meinian Institute of Health, Beijing, China
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
- Peking University Health Science Center Meinian Public Health Institute, Beijing, China
- Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing, China
| | - Bo Wang
- Meinian Institute of Health, Beijing, China
- Peking University Health Science Center Meinian Public Health Institute, Beijing, China
- Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing, China
| | - Liming Li
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
- Peking University Health Science Center Meinian Public Health Institute, Beijing, China
- Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing, China
- Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing, China
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Shirokane K, Tamaki T, Kim K, Tsuchiya M, Yamazaki M, Morita A. Relationship between Flow-mediated Endothelial Vasodilation and the Pulse Wave Velocity, and Cervical Carotid Artery Stenosis. Neurol Med Chir (Tokyo) 2020; 60:293-298. [PMID: 32404574 PMCID: PMC7301127 DOI: 10.2176/nmc.oa.2019-0193] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/02/2022] Open
Abstract
Carotid artery stenosis is elicited by atherosclerosis and is the main cause of cerebral thrombosis. Flow-mediated endothelial vasodilation (FMD) can be measured noninvasively to assess vascular endothelial function related to atherosclerosis. The pulse wave velocity (PWV) is used to evaluate the vascular media involved in atherosclerosis. We investigated the relationship between these measurements in 75 consecutive patients with atherosclerotic cerebral thrombosis. They were assigned to three equal groups based on the severity of carotid artery stenosis on ultrasonograms. Group 1 had no stenosis, group 2 manifested moderate stenosis (<60%), and group 3 presented with severe stenosis (≥60%). We compared the FMD and PWV among the three groups. The PWV was significantly lower in group 1 than the other two groups. The FMD was significantly lower in group 3; it was significantly lower in group 2 than group 1. There was an inverse correlation between the FMD and the severity of carotid artery stenosis. Our findings show that for assessing the severity of carotid artery stenosis, the FMD is more useful than the PWV.
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Affiliation(s)
- Kazutaka Shirokane
- Department of Neurological Surgery, Tama Nagayama Hospital, Nippon Medical School.,Department of Neurological Surgery, Chiba Hokusoh Hospital, Nippon Medical School
| | - Tomonori Tamaki
- Department of Neurological Surgery, Tama Nagayama Hospital, Nippon Medical School
| | - Kyongsong Kim
- Department of Neurological Surgery, Chiba Hokusoh Hospital, Nippon Medical School
| | | | - Michio Yamazaki
- Department of Neurological Surgery, Tama Nagayama Hospital, Nippon Medical School
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Tanaka A, Tomiyama H, Maruhashi T, Matsuzawa Y, Miyoshi T, Kabutoya T, Kario K, Sugiyama S, Munakata M, Ito H, Ueda S, Vlachopoulos C, Higashi Y, Inoue T, Node K. Physiological Diagnostic Criteria for Vascular Failure. Hypertension 2019; 72:1060-1071. [PMID: 30354826 DOI: 10.1161/hypertensionaha.118.11554] [Citation(s) in RCA: 164] [Impact Index Per Article: 32.8] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Affiliation(s)
- Atsushi Tanaka
- From the Department of Cardiovascular Medicine, Saga University, Japan (A.T., K.N.)
| | - Hirofumi Tomiyama
- Department of Cardiology and Division of Preemptive Medicine for Vascular Damage, Tokyo Medical University, Japan (H.T.)
| | - Tatsuya Maruhashi
- Department of Cardiovascular Medicine, Graduate School of Biomedical and Health Sciences (T.M.), Hiroshima University, Japan
| | - Yasushi Matsuzawa
- Division of Cardiology, Yokohama City University Medical Center, Japan (Y.M.)
| | - Toru Miyoshi
- Department of Cardiovascular Medicine, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Japan (T.M., H.I.)
| | - Tomoyuki Kabutoya
- Division of Cardiovascular Medicine, Department of Medicine, Jichi Medical University School of Medicine, Tochigi, Japan (T.K., K.K.)
| | - Kazuomi Kario
- Division of Cardiovascular Medicine, Department of Medicine, Jichi Medical University School of Medicine, Tochigi, Japan (T.K., K.K.)
| | - Seigo Sugiyama
- Division of Cardiovascular Medicine, Diabetes Care Center, Jinnouchi Hospital, Kumamoto, Japan (S.S.)
| | - Masanori Munakata
- Research Center for Lifestyle-Related Disease, Tohoku Rosai Hospital, Sendai, Japan (M.M.)
| | - Hiroshi Ito
- Department of Cardiovascular Medicine, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Japan (T.M., H.I.)
| | - Shinichiro Ueda
- Department of Clinical Pharmacology and Therapeutics, University of the Ryukyu School of Medicine, Okinawa, Japan (S.U.)
| | - Charalambos Vlachopoulos
- 1st Cardiology Department, Athens Medical School, National and Kapodistrian University of Athens, Hippokration Hospital, Greece (C.V.)
| | - Yukihito Higashi
- Department of Regeneration and Medicine, Research Center for Radiation Genome Medicine, Research Institute for Radiation Biology and Medicine (Y.H.), Hiroshima University, Japan
| | - Teruo Inoue
- Department of Cardiovascular Medicine, Dokkyo Medical University, Tochigi, Japan (T.I.)
| | - Koichi Node
- From the Department of Cardiovascular Medicine, Saga University, Japan (A.T., K.N.)
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Endothelial dysfunction in the pathogenesis of arterial hypertension and the progression of atherosclerosis. Fam Med 2018. [DOI: 10.30841/2307-5112.2.2018.145561] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
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Tomiyama H, Ishizu T, Kohro T, Matsumoto C, Higashi Y, Takase B, Suzuki T, Ueda S, Yamazaki T, Furumoto T, Kario K, Inoue T, Koba S, Takemoto Y, Hano T, Sata M, Ishibashi Y, Node K, Maemura K, Ohya Y, Furukawa T, Ito H, Yamashina A. Longitudinal association among endothelial function, arterial stiffness and subclinical organ damage in hypertension. Int J Cardiol 2017; 253:161-166. [PMID: 29174285 DOI: 10.1016/j.ijcard.2017.11.022] [Citation(s) in RCA: 41] [Impact Index Per Article: 5.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/24/2017] [Revised: 10/03/2017] [Accepted: 11/07/2017] [Indexed: 11/26/2022]
Abstract
OBJECTIVES To examine the longitudinal mutual association between endothelial dysfunction and arterial stiffness, and also to determine which of the two variables was more closely associated with the progression of subclinical organ damage. METHODS The brachial-ankle pulse wave velocity (baPWV), carotid intima-media thickness (CIMT), estimated glomerular filtration rate, microalbuminuria and flow-mediated vasodilatation of the brachial artery (FMD) were measured three times at 1.5-year intervals in 674 Japanese patients receiving antihypertensive treatment. RESULTS The change of the baPWV during the study period was larger in the subjects with baseline FMD values in the lowest tertile as compared to those with baseline FMD values in the highest tertile. The change of the CIMT was smaller in the subjects with baseline baPWV values in the lowest tertile than in those with baseline baPWV values in the highest tertile. After the adjustment, the FMD value at the baseline was inversely associated with the baPWV at the end of the study period (beta=-0.07, p=0.01), although, the reverse association was not significant. The baPWV, but not the FMD value, at the baseline was associated with the CIMT (beta=0.06, p=0.04) measured at the end of the study period. CONCLUSIONS In hypertension, endothelial dysfunction was associated with the progression of arterial stiffness, although the reverse association was not confirmed. The increased arterial stiffness rather than endothelial dysfunction may be more closely associated with the progression of atherosclerotic vascular damage, and the endothelial dysfunction-arterial stiffness-atherosclerosis continuum may be important in hypertension.
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Affiliation(s)
| | - Tomoko Ishizu
- Cardiovascular Division, Institute of Clinical Medicine, University of Tsukuba, Ibaraki, Japan
| | - Takahide Kohro
- Department of Clinical Informatics, Jichi Medical University School of Medicine, Tochigi, Japan
| | - Chisa Matsumoto
- Department of Cardiology, Tokyo Medical University, Tokyo, Japan
| | - Yukihito Higashi
- Department of Cardiovascular Physiology and Medicine, Hiroshima University Graduate School of Biomedical Science, Hiroshima, Japan
| | - Bonpei Takase
- Division of Biomedical Engineering, National Defense Medical College Research Institute, Saitama, Japan
| | - Toru Suzuki
- Cardiovascular Medicine, University of Leicester, Leicester, UK
| | - Shinichiro Ueda
- Department of Clinical Pharmacology and Therapeutics, University of the Ryukyu School of Medicine, Okinawa, Japan
| | - Tsutomu Yamazaki
- Department of Clinical Epidemiology and Systems, Faculty of Medicine, The University of Tokyo, Tokyo, Japan
| | - Tomoo Furumoto
- Department of Cardiovascular Medicine, Hokkaido University Graduate School of Medicine, Hokkaido, Japan
| | - Kazuomi Kario
- Division of Cardiovascular Medicine, Jichi Medical University School of Medicine, Tochigi, Japan
| | - Teruo Inoue
- Department of Cardiovascular Medicine, Dokkyo Medical University, Mibu, Tochigi, Japan
| | - Shinji Koba
- Department of Medicine, Division of Cardiology, Showa University School of Medicine, Tokyo, Japan
| | - Yasuhiko Takemoto
- Department of Internal Medicine and Cardiology, Osaka City University Graduate School of Medicine, Osaka, Japan
| | - Takuzo Hano
- Department of Medical Education and Population-based Medicine, Postgraduate School of Medicine, Wakayama Medical University, Wakayama, Japan
| | - Masataka Sata
- Department of Cardiovascular Medicine, Institute of Health Biosciences, The University of Tokushima Graduate School, Tokushima, Japan
| | - Yutaka Ishibashi
- Department of General Medicine, Shimane University Faculty of Medicine, Izumo, Japan
| | - Koichi Node
- Department of Cardiovascular and Renal Medicine, Saga University, Saga, Japan
| | - Koji Maemura
- Department of Cardiovascular Medicine, Course of Medical and Dental Sciences, Graduate School of Biomedical Sciences, Nagasaki University, Nagasaki, Japan
| | - Yusuke Ohya
- The Third Department of Internal Medicine, University of the Ryukyus, Okinawa, Japan
| | - Taiji Furukawa
- Department of Internal Medicine, Teikyo University School of Medicine, Tokyo, Japan
| | - Hiroshi Ito
- Department of Cardiovascular Medicine, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Japan
| | - Akira Yamashina
- Department of Cardiology, Tokyo Medical University, Tokyo, Japan
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Mori H, Maeda A, Wakabayashi K, Sato T, Sasai M, Tashiro K, Iso Y, Ebato M, Suzuki H. The Effect of Cilostazol on Endothelial Function as Assessed by Flow-Mediated Dilation in Patients with Coronary Artery Disease. J Atheroscler Thromb 2016; 23:1168-1177. [PMID: 27169919 PMCID: PMC5098917 DOI: 10.5551/jat.32912] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022] Open
Abstract
Aim: The vascular endothelium plays a key role in the pathophysiology of atherosclerosis. Flow-mediated dilation (FMD) is a novel way of assessing endothelial function. Cilostazol is a unique antiplatelet drug that also has the potential to improve endothelial function. The objective of this present study was to investigate the effects of cilosatzol on endothelial function as assessed by FMD. Methods: Fifty-one patients with coronary artery disease (CAD) were assigned to one of two groups: the Cilostazol(+) group (with cilostazol) and Cilostazol(−) group (without cilostazol). In addition to conventional dual antiplatelet therapy with aspirin and clopidogrel/ticlopidine, the Cilostazol(+) group (n = 27) was also given cilostazol (100 mg/day). The Cilostazol(−) group (n = 24) did not receive cilostazol. FMD was assessed at enrollment and after 6–9 months. Results: The FMD of both the Cilostazol(+) and Cilostazol(−) groups remained similar at 5.2 (interquartile range: 3.8–8.5) to 5.4 (interquartile range: 4.2–6.7) (P = 0.29) and 5.0 (interquartile range: 3.6–6.4) to 4.9 (interquartile range: 4.0–7.0) (P = 0.38), respectively. However, the diameters of the baseline and maximal brachial arteries tended to increase in the Cilostazol(−) group (baseline: 4.2 ± 0.7 to 4.4 ± 0.7, P = 0.18; maximal: 4.5 ± 0.7 to 4.6 ± 0.7 P = 0.22), whereas that of the Cilostazol(−) group tended to decrease (baseline: 4.1 ± 0.6 to 3.9 ± 0.5, P = 0.10; maximal: 4.3 ± 0.7 to 4.1 ± 0.5, P = 0.05). The rates of change in the baseline diameter (Cilostazol(+): 3.7 ± 9.8% vs. Cilostazol(−): −3.8 ± 12.2%, P = 0.03) and maximal diameter (Cilostazol(+): +3.1 ± 8.9% vs. Cilostazol(−): −4.4 ± 12.0%, P = 0.02) were significantly different. Conclusion: Although cilostazol didn't affect the FMD, there was a significant difference in the rates of change in baseline and maximal brachial artery diameter. This may have a beneficial effect in patients with cardiovascular disease.
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Affiliation(s)
- Hiroyoshi Mori
- Department of Cardiology, Showa University Fujigaoka Hospital
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Iwamoto A, Kajikawa M, Maruhashi T, Iwamoto Y, Oda N, Kishimoto S, Matsui S, Kihara Y, Chayama K, Goto C, Noma K, Aibara Y, Nakashima A, Higashi Y. Vascular Function and Intima-media Thickness of a Leg Artery in Peripheral Artery Disease: A Comparison of Buerger Disease and Atherosclerotic Peripheral Artery Disease. J Atheroscler Thromb 2016; 23:1261-1269. [PMID: 27169920 PMCID: PMC5113743 DOI: 10.5551/jat.35436] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/03/2023] Open
Abstract
Aim: Both vascular function and structure are independent predictors of cardiovascular events. The purpose of this study was to evaluate vascular function and structure of a leg artery in patients with peripheral artery disease (PAD). Methods: We measured flow-mediated vasodilatation (FMD) and nitroglycerine-induced vasodilation (NID) as indices of vascular function and intima-media thickness (IMT) as an index of vascular structure of the popliteal artery in 100 subjects, including 20 patients with Buerger disease and 30 patients with atherosclerotic PAD, 20 age- and sex-matched subjects without Buerger disease (control group) and 30 age- and sex-matched patients without atherosclerotic PAD (control group). Results: IMT was significantly larger in the Buerger group than in the control group (Buerger, 0.63 ± 0.20 mm; control, 0.50 ± 0.07 mm; P = 0.01), whereas there were no significant differences in FMD and NID between the two groups. IMT was significantly larger in the atherosclerotic PAD group than in the control group (atherosclerotic PAD, 0.80 ± 0.22 mm; control, 0.65 ± 0.14 mm; P < 0.01), and FMD and NID were significantly smaller in the atherosclerotic PAD group than in the control group (FMD: atherosclerotic PAD, 3.9% ± 1.1%; control, 5.0% ± 1.8%; P < 0.01; and NID: atherosclerotic PAD, 6.1% ± 2.0%; control, 8.4% ± 2.1%; P < 0.01). Conclusion: These findings suggest that vascular function is preserved in patients with Buerger disease and that both vascular function and vascular structure are impaired in patients with atherosclerotic PAD.
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Affiliation(s)
- Akimichi Iwamoto
- Department of Cardiovascular Medicine, Graduate School of Biomedical and Health Sciences, Hiroshima University
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Ciccone MM, Faienza MF, Altomare M, Nacci C, Montagnani M, Valente F, Cortese F, Gesualdo M, Zito A, Mancarella R, Leogrande D, Viola D, Scicchitano P, Giordano P. Endothelial and Metabolic Function Interactions in Overweight/Obese Children. J Atheroscler Thromb 2016; 23:950-9. [PMID: 26903398 PMCID: PMC7399297 DOI: 10.5551/jat.31740] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023] Open
Abstract
AIM Although the underlined mechanisms are still unknown, metabolic/coagulation alterations related to childhood obesity can induce vascular impairments. The aim of this study was to investigate the relationship between metabolic/coagulation parameters and endothelial function/vascular morphology in overweight/obese children. METHODS Thirty-five obese/overweight children (22 pre-pubertal, mean age: 9.52±3.35 years) were enrolled. Body mass index (BMI), homeostasis model assessment index (HOMAIR), metabolic and coagulation parameters, [adiponectin, fibrinogen, high molecular weight adiponectin (HMW), endothelin-1, and vonWillebrand factor antigen] ultrasound early markers of atherosclerosis [flow-mediated dilatation (FMD), common carotid intima-media thickness (C-IMT), and anteroposterior diameter of infra-renal abdominal aorta (APAO)] were assessed. RESULTS APAO was related to anthropometric (age: r=0.520, p=0.001; height: r=0.679, p<0.001; weight: r=0.548, p=0.001; BMI: r=0.607, p<0.001; SBP: r=0.377, p=0.026) and metabolic (HOMAIR: r=0.357, p=0.035; HMW: r=-0.355, p=0.036) parameters. Age, height, and systolic blood pressure were positively related to increased C-IMT (r=0.352, p=0.038; r=0.356, p=0.036; r=0.346, p=0.042, respectively). FMD was not related to any clinical and biochemical characteristics of the pediatric population. Age, HOMAIR, fasting glucose levels, and HMW were independent predictors for APAO increase. Each unit decrease in HMW concentrations (1 μg/ml) induced a 0.065 mm increase in APAO. CONCLUSION High molecular weight adiponectin is related to cardiovascular risk in overweight/obese children.
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Affiliation(s)
- Marco Matteo Ciccone
- Cardiovascular Diseases Section, Department of Emergency and Organ Transplantation (DETO), University
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Adachi U, Tsutsumi Y, Iijima M, Mizuno S, Uchiyama S, Kitagawa K. Differences in Endothelial Function between Ischemic Stroke Subtypes. J Stroke Cerebrovasc Dis 2015; 24:2781-6. [DOI: 10.1016/j.jstrokecerebrovasdis.2015.08.009] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2015] [Revised: 07/29/2015] [Accepted: 08/08/2015] [Indexed: 11/28/2022] Open
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Frolow M, Drozdz A, Kowalewska A, Nizankowski R, Chlopicki S. Comprehensive assessment of vascular health in patients; towards endothelium-guided therapy. Pharmacol Rep 2015; 67:786-92. [PMID: 26321282 DOI: 10.1016/j.pharep.2015.05.010] [Citation(s) in RCA: 31] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2015] [Revised: 05/05/2015] [Accepted: 05/06/2015] [Indexed: 10/23/2022]
Abstract
Endothelial function has diagnostic, prognostic and therapeutic significance. A number of non-invasive techniques were introduced for its assessment, including flow-mediated dilation (FMD), finger plethysmography (RH-PAT) and digital thermal monitoring (DTM). All these methods can be performed simultaneously. In addition, various methods for measuring arterial wall stiffness are available such as: pulse wave analysis (PWA), pulse wave velocity (PWV), pulse contour analysis (PCA) and carotid wall distensibility coefficient (DC). Finally, carotid intima-media thickness (cIMT) and ankle brachial index (ABI) are used as surrogate read-outs of atherosclerosis. Here, we briefly describe the advantages, limitations and interrelationships of various methods used for the assessment of endothelial function, arterial stiffness, and present the concept of an integrated evaluation of vascular health based on multiple methods. This strategy may be useful to stratify cardiovascular risk and represents a step towards multiparametric assessment of endothelium for effective endothelium-guided therapy in patients with cardiovascular diseases.
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Affiliation(s)
- Marzena Frolow
- Jagiellonian Centre for Experimental Therapeutics (JCET), Jagiellonian University, Kraków, Poland; Department of Angiology, Jagiellonian University, Kraków, Poland.
| | - Agata Drozdz
- Jagiellonian Centre for Experimental Therapeutics (JCET), Jagiellonian University, Kraków, Poland; Faculty of Mechanical Engineering, Cracow University of Technology, Kraków, Poland
| | - Agata Kowalewska
- Jagiellonian Centre for Experimental Therapeutics (JCET), Jagiellonian University, Kraków, Poland
| | - Rafal Nizankowski
- Jagiellonian Centre for Experimental Therapeutics (JCET), Jagiellonian University, Kraków, Poland
| | - Stefan Chlopicki
- Jagiellonian Centre for Experimental Therapeutics (JCET), Jagiellonian University, Kraków, Poland; Department of Experimental Pharmacology, Chair of Pharmacology, Jagiellonian University, Medical College, Kraków, Poland
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Mallamaci F, Testa A, Leonardis D, Tripepi R, Pisano A, Spoto B, Sanguedolce MC, Parlongo RM, Tripepi G, Zoccali C. A Genetic Marker of Uric Acid Level, Carotid Atherosclerosis, and Arterial Stiffness: A Family-Based Study. Am J Kidney Dis 2015; 65:294-302. [DOI: 10.1053/j.ajkd.2014.07.021] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2014] [Accepted: 07/28/2014] [Indexed: 11/11/2022]
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