Endocrinology and Metabolism

Original Articles

Clinical Study
Short-Term Effects of Beraprost Sodium on the Markers for Cardiovascular Risk Prediction in Type 2 Diabetic Patients with Microalbuminuria: Yun Mi Choi, Hyuk-Sang Kwon, Kyung Mook Choi, Won-Young Lee, Eun-Gyoung Hong; Endocrinol Metab. 2019;34(4):398-405. Published online December 23, 2019; DOI: https://doi.org/10.3803/EnM.2019.34.4.398

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Background

To evaluate the changes in cardiovascular risk markers including pulse wave velocity (PWV), microalbuminuria, inflammatory cytokines, and adhesion molecules after treatment with beraprost sodium (BPS) in patients with diabetic nephropathy.

Methods

This was a multicenter, prospective, randomized, double-blind, placebo-controlled trial. Type 2 diabetes mellitus patients with microalbuminuria were included. The primary endpoints were changes in microalbuminuria in spot urine and PWV after BPS or placebo (PCB) treatment for 24 weeks. The secondary endpoints were changes in clinical and metabolic parameters.

Results

A total of 52 patients completed the 24-week trial. Changes in PWV were not different significantly in the BPS and PCB groups (right, P=0.16; left, P=0.11). Changes in microalbuminuria were 14.2±157.0 and 34.5±146.6 (µg/mg Cr) in the BPS and PCB groups, respectively (P=0.63). Subgroup analysis in the high blood pressure (BP) group (baseline systolic BP >120 mm Hg and diastolic BP >80 mm Hg), showed that microalbuminuria decreased by −47.6 in the BPS group compared with an increase by 116.4 (µg/mg Cr) in the PCB group (P=0.04). Also, in the large waist circumference group (>95 cm), microalbuminuria decreased significantly in the BPS group (P=0.04).

Conclusion

Short-term treatment of BPS for patients with diabetic nephropathy did not show significant improvement in various cardiovascular risk factors. However, BPS significantly decreased microalbuminuria in study subjects with higher cardiovascular risk such as high BP or large waist circumference.

Citations

Citations to this article as recorded by

Clinical efficacy of beraprost sodium in treating chronic kidney disease: A six-month prospective study
Chen Sun, Xin Wu, Xin Zhang, Shulin Li, Ruoyu Jia, Dong Sun
Heliyon.2024; 10(2): e24156. CrossRef
Clinical efficacy and safety of beraprost sodium in the treatment of nephrotic syndrome: A meta-analysis
Peng Yan, Ben Ke, Xiangdong Fang
Medicine.2023; 102(42): e34958. CrossRef
Dysregulated coagulation system links to inflammation in diabetic kidney disease
Mengyun Xiao, Donge Tang, Shaodong Luan, Bo Hu, Wenyu Gong, Wolfgang Pommer, Yong Dai, Lianghong Yin
Frontiers in Clinical Diabetes and Healthcare.2023;[Epub] CrossRef
The effects of beraprost sodium on renal function and cardiometabolic profile in patients with diabetes mellitus: a systematic review and meta-analysis of clinical trials
Peyman Nowrouzi-Sohrabi, Reza Tabrizi, Kamran Hessami, Mojtaba Shabani-Borujeni, Mahnaz Hosseini-Bensenjan, Shahla Rezaei, Mohammad Jalali, Pedram Keshavarz, Fariba Ahmadizar
International Urology and Nephrology.2022; 54(1): 111. CrossRef
Thrombocytopenia in COVID‑19 and vaccine‑induced thrombotic thrombocytopenia
Styliani Geronikolou, Işil Takan, Athanasia Pavlopoulou, Marina Mantzourani, George Chrousos
International Journal of Molecular Medicine.2022;[Epub] CrossRef
The Role of Platelets in Diabetic Kidney Disease
Ukhti Jamil Rustiasari, Joris J. Roelofs
International Journal of Molecular Sciences.2022; 23(15): 8270. CrossRef
Comparative Efficacy of Lobeglitazone Versus Pioglitazone on Albuminuria in Patients with Type 2 Diabetes Mellitus
Kyung-Soo Kim, Sangmo Hong, Hong-Yup Ahn, Cheol-Young Park
Diabetes Therapy.2021; 12(1): 171. CrossRef

Diabetes
High Brachial Ankle Pulse Wave Velocity as a Marker for Predicting Coronary Artery Stenosis in Patients with Type 2 Diabetes: Bo Hyun Kim, Jae Sik Jang, Yong Seop Kwon, June Hyung Kim, In Joo Kim, Chang Won Lee; Endocrinol Metab. 2018;33(1):88-96. Published online March 21, 2018; DOI: https://doi.org/10.3803/EnM.2018.33.1.88

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55 Download
13 Web of Science
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Background

We evaluated the ability of brachial ankle pulse wave velocity (baPWV) to predict coronary artery stenosis (CAS) in patients with type 2 diabetes, and compared the predictive power of baPWV to that of well-known cardiovascular disease (CVD) risk calculators.

Methods

The study group included 83 consecutive patients over 30 years old with type 2 diabetes who complained of vague chest discomfort. An automatic pulse waveform analyzer was used to measure baPWV. CAS was measured using multi-slice computed tomographic (MSCT) angiography.

Results

Age, maximal baPWV, duration of diabetes, current smoking, the UK Prospective Diabetes Study (UKPDS) Risk Engine score, American College of Cardiology/American Heart Association (ACC/AHA) risk estimator score, the Framingham risk calculator score, and coronary artery calcium score were greater in patients with CAS than in those without CAS. An area under the curve (AUC) indicative of a predictive value for CAS (≥20%) was found for several parameters. The AUC of maximal baPWV, the UKPDS Risk Engine, the ACC/AHA ASCVD risk estimator, and the Framingham risk calculator were 0.672 (95% confidence interval [CI], 0.554 to 0.785; P=0.010), 0.777 (95% CI, 0.675 to 0.878; P<0.001), 0.763 (95% CI, 0.660 to 0.866; P<0.001), and 0.736 (95% CI, 0.629 to 0.843; P<0.001), respectively. The optimal cutoff value of baPWV for the detection of CAS was 1,650 cm/sec (sensitivity, 68.9%; specificity, 63.2%).

Conclusion

Maximal baPWV was closely related with CAS detected by MSCT coronary angiography in patients with type 2 diabetes. baPWV has the potential to be a useful, noninvasive screening tool for the prediction of occult CAS in patients with type 2 diabetes.

Citations

Citations to this article as recorded by

Polyvinyl Alcohol Phantoms With Heterogeneous Plaques: Estimation of Pulse Wave Velocity at the Stenotic Region Using Pulse Wave Imaging
Nima Mobadersany, Pengcheng Liang, Paul Kemper, Elisa E. Konofagou
Ultrasound in Medicine & Biology.2024; 50(1): 91. CrossRef
The risk factors of early arterial stiffness in type 2 diabetes without diabetic macroangiopathy
Jia-Hui Wu, Rui Wang, Xiao-Jiao Jia, Na Lu, Qiang Lu, Fu-Zai Yin, Chun-Ming Ma
International Journal of Diabetes in Developing Countries.2023;[Epub] CrossRef
Arterial Stiffness as a Predictor of the Index of Atherosclerotic Cardiovascular Disease in Hypertensive Patients
Guili Chang, Yueliang Hu, Qian Ge, Shaoli Chu, Alberto Avolio, Junli Zuo
International Journal of Environmental Research and Public Health.2023; 20(4): 2832. CrossRef
Pulse wave imaging of a stenotic artery model with plaque constituents of different stiffnesses: Experimental demonstration in phantoms and fluid-structure interaction simulation
Nima Mobadersany, Nirvedh H. Meshram, Paul Kemper, C.V. Sise, Grigorios M. Karageorgos, Pengcheng Liang, Gerard A. Ateshian, Elisa E. Konofagou
Journal of Biomechanics.2023; 149: 111502. CrossRef
Computational clustering reveals differentiated coronary artery calcium progression at prevalent levels of pulse wave velocity by classifying high-risk patients
Maximo Rousseau-Portalis, Leandro Cymberknop, Ignacio Farro, Ricardo Armentano
Frontiers in Cardiovascular Medicine.2023;[Epub] CrossRef
Pepsinogen ratio and brachial-ankle pulse wave velocity: a cross-sectional study on their interrelationship in atherosclerosis
Yuexi Li, Xiaoqin Liu, Yuhan Luo, Qiaoli Wang
BMC Cardiovascular Disorders.2023;[Epub] CrossRef
The Plasma Atherogenic Index is an Independent Predictor of Arterial Stiffness in Healthy Koreans
Ji Sun Nam, Min Kyung Kim, Kahui Park, Arim Choi, Shinae Kang, Chul Woo Ahn, Jong Suk Park
Angiology.2022; 73(6): 514. CrossRef
Risk assessment indicators and brachial-ankle pulse wave velocity to predict atherosclerotic cardiovascular disease
Hung-Ju Ko, Chuan-Chuan Liu, Po-Jui Hsu, Kuang-Chun Hu, Chung-Lieh Hung, Lo-Yip Yu, Yun-Chieh Huang, Shou-Chuan Shih
Medicine.2022; 101(32): e29609. CrossRef
Brachial-ankle pulse wave velocity as a predictor of long-term cardiovascular events in 2174 subjects with type 2 diabetes mellitus: A retrospective cohort study
Hack-Lyoung Kim, Won Kyeong Jeon, Hyun Sung Joh, Woo-Hyun Lim, Jae-Bin Seo, Sang-Hyun Kim, Joo-Hee Zo, Myung-A Kim
Medicine.2022; 101(45): e31758. CrossRef
Ultrasound Methods in the Evaluation of Atherosclerosis: From Pathophysiology to Clinic
Gabriel Cismaru, Teodora Serban, Alexandru Tirpe
Biomedicines.2021; 9(4): 418. CrossRef
A model to predict risk of stroke in middle-aged adults with type 2 diabetes generated from a nationwide population-based cohort study in Korea
Mee-Kyoung Kim, Kyungdo Han, Jae-Hyoung Cho, Hyuk-Sang Kwon, Kun-Ho Yoon, Seung-Hwan Lee
Diabetes Research and Clinical Practice.2020; 163: 108157. CrossRef
Association of impaired arterial wall properties with the presence of coronary artery disease in patients with abdominal aortic aneurysms
Pinelopi Rafouli‐Stergiou, Ignatios Ikonomidis, Niki Katsiki, Nikolaos P. E. Kadoglou, Stefanos Vlachos, John Thymis, John Parissis, Konstantinos G. Moulakakis, John D. Kakisis
The Journal of Clinical Hypertension.2020; 22(2): 187. CrossRef
Association of serum FAM19A5 with metabolic and vascular risk factors in human subjects with or without type 2 diabetes
You-Bin Lee, Hwan-Jin Hwang, Jung A Kim, Soon Young Hwang, Eun Roh, So-hyeon Hong, Kyung Mook Choi, Sei Hyun Baik, Hye Jin Yoo
Diabetes and Vascular Disease Research.2019; 16(6): 530. CrossRef
Pulse Wave Velocity in Atherosclerosis
Hack-Lyoung Kim, Sang-Hyun Kim
Frontiers in Cardiovascular Medicine.2019;[Epub] CrossRef

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