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Soo Wan Kim 2 Articles
Complications
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Dyslipidemia in Patients with Chronic Kidney Disease: An Updated Overview
Sang Heon Suh, Soo Wan Kim
Diabetes Metab J. 2023;47(5):612-629.   Published online July 24, 2023
DOI: https://doi.org/10.4093/dmj.2023.0067
  • 8,102 View
  • 776 Download
  • 12 Web of Science
  • 12 Crossref
AbstractAbstract PDFPubReader   ePub   
Dyslipidemia is a potentially modifiable cardiovascular risk factor. Whereas the recommendations for the treatment target of dyslipidemia in the general population are being more and more rigorous, the 2013 Kidney Disease: Improving Global Outcomes clinical practice guideline for lipid management in chronic kidney disease (CKD) presented a relatively conservative approach with respect to the indication of lipid lowering therapy and therapeutic monitoring among the patients with CKD. This may be largely attributed to the lack of high-quality evidence derived from CKD population, among whom the overall feature of dyslipidemia is considerably distinctive to that of general population. In this review article, we cover the characteristic features of dyslipidemia and impact of dyslipidemia on cardiovascular outcomes in patients with CKD. We also review the current evidence on lipid lowering therapy to modify the risk of cardiovascular events in this population. We finally discuss the association between dyslipidemia and CKD progression and the potential strategy to delay the progression of CKD in relation to lipid lowering therapy.

Citations

Citations to this article as recorded by  
  • Statin Therapy and Lipid Indices in Chronic Kidney Disease: A Systematic Review and Meta-analysis of Randomized Control Trials
    Jafar Karami, Bahman Razi, Danyal Imani, Saeed Aslani, Mahdi Pakjoo, Mahdieh Fasihi, Keyhan Mohammadi, Amirhossein Sahebkar
    Current Pharmaceutical Design.2024; 30(5): 362.     CrossRef
  • Lipoprotein glomerulopathy with markedly increased arterial stiffness successfully treated with a combination of fenofibrate and losartan: a case report
    Junichiro Kato, Hideo Okonogi, Go Kanzaki, Haruki Katsumata, Yasuyuki Nakada, Makoto Sagasaki, Kazumasa Komine, Kenji Ito, Takao Saito, Akira Matsunaga, Koh Tokutou, Kazuho Honda, Nobuo Tsuboi, Takashi Yokoo
    BMC Nephrology.2024;[Epub]     CrossRef
  • Atherogenic index of plasma: a new indicator for assessing the short-term mortality of patients with acute decompensated heart failure
    Meng Yu, Hongyi Yang, Maobin Kuang, Jiajun Qiu, Changhui Yu, Guobo Xie, Guotai Sheng, Yang Zou
    Frontiers in Endocrinology.2024;[Epub]     CrossRef
  • Association between lipid accumulation product index and chronic kidney disease: A systematic review and meta-analysis
    Feixiang Wu, Chenmin Cui, Junping Wu, Yunqing Wang
    Experimental and Therapeutic Medicine.2024;[Epub]     CrossRef
  • Potential impact of sodium glucose co-transporter (SGLT2) inhibitors on cholesterol fractions in stage 3 chronic kidney disease
    Rabab Mahmoud Ahmed, Nehal Kamal Rakha, Ahmed Yousry, Amin Roshdy Soliman
    The Egyptian Journal of Internal Medicine.2024;[Epub]     CrossRef
  • Pulmonary Hypertension in Hemodialysis Patients and Its Determinants: A Hospital Based Cross-Sectional Study
    Qingfei Yu, Qin Zhang
    International Journal of General Medicine.2024; Volume 17: 3919.     CrossRef
  • Relationship Between Serum Uromodulin as a Marker of Kidney Damage and Metabolic Status in Patients with Chronic Kidney Disease of Non-Diabetic Etiology
    Radmila Žeravica, Branislava Ilinčić, Dragan Burić, Ana Jakovljević, Veljko Crnobrnja, Dalibor Ilić, Marija Vukmirović Papuga
    International Journal of Molecular Sciences.2024; 25(20): 11159.     CrossRef
  • Dyslipidemia in Peritoneal Dialysis: Implications for Peritoneal Membrane Function and Patient Outcomes
    Natalia Stepanova
    Biomedicines.2024; 12(10): 2377.     CrossRef
  • Causal associations between kidney function and aortic valve stenosis: a bidirectional Mendelian randomization analysis
    Wanqian Pan, Le Zhou, Rui Han, Xiaojiao Du, Weixiang Chen, Tingbo Jiang
    Renal Failure.2024;[Epub]     CrossRef
  • U-shaped association between dietary niacin intake and chronic kidney disease among US elderly: a nationwide cross-sectional study
    Zhouzhou Xie, Shansen Peng, Gejun Ou, Xiaoqi Zhou, Guihao Zhang, Huiming Jiang, Tianhui Zhang, Nanhui Chen
    Frontiers in Endocrinology.2024;[Epub]     CrossRef
  • Association between dried fruit intake and kidney function: research from univariate and multivariate Mendelian randomized studies
    Yuhang Gao, Xinghai Yue, Wanchao Zhao, Fang Yuan
    Frontiers in Nutrition.2024;[Epub]     CrossRef
  • The Dual Burden: Exploring Cardiovascular Complications in Chronic Kidney Disease
    Alfredo Caturano, Raffaele Galiero, Maria Rocco, Giuseppina Tagliaferri, Alessia Piacevole, Davide Nilo, Giovanni Di Lorenzo, Celestino Sardu, Vincenzo Russo, Erica Vetrano, Marcellino Monda, Raffaele Marfella, Luca Rinaldi, Ferdinando Carlo Sasso
    Biomolecules.2024; 14(11): 1393.     CrossRef
Cardiovascular Risk/Epidemiology
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Glycemic Control and Adverse Clinical Outcomes in Patients with Chronic Kidney Disease and Type 2 Diabetes Mellitus: Results from KNOW-CKD
Ga Young Heo, Hee Byung Koh, Hyung Woo Kim, Jung Tak Park, Tae-Hyun Yoo, Shin-Wook Kang, Jayoun Kim, Soo Wan Kim, Yeong Hoon Kim, Su Ah Sung, Kook-Hwan Oh, Seung Hyeok Han
Diabetes Metab J. 2023;47(4):535-546.   Published online April 25, 2023
DOI: https://doi.org/10.4093/dmj.2022.0112
  • 3,984 View
  • 205 Download
  • 4 Web of Science
  • 5 Crossref
AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
Background
The optimal level of glycosylated hemoglobin (HbA1c) to prevent adverse clinical outcomes is unknown in patients with chronic kidney disease (CKD) and type 2 diabetes mellitus (T2DM).
Methods
We analyzed 707 patients with CKD G1-G5 without kidney replacement therapy and T2DM from the KoreaN Cohort Study for Outcome in Patients With Chronic Kidney Disease (KNOW-CKD), a nationwide prospective cohort study. The main predictor was time-varying HbA1c level at each visit. The primary outcome was a composite of development of major adverse cardiovascular events (MACEs) or all-cause mortality. Secondary outcomes included the individual endpoint of MACEs, all-cause mortality, and CKD progression. CKD progression was defined as a ≥50% decline in the estimated glomerular filtration rate from baseline or the onset of end-stage kidney disease.
Results
During a median follow-up of 4.8 years, the primary outcome occurred in 129 (18.2%) patients. In time-varying Cox model, the adjusted hazard ratios (aHRs) for the primary outcome were 1.59 (95% confidence interval [CI], 1.01 to 2.49) and 1.99 (95% CI, 1.24 to 3.19) for HbA1c levels of 7.0%–7.9% and ≥8.0%, respectively, compared with <7.0%. Additional analysis of baseline HbA1c levels yielded a similar graded association. In secondary outcome analyses, the aHRs for the corresponding HbA1c categories were 2.17 (95% CI, 1.20 to 3.95) and 2.26 (95% CI, 1.17 to 4.37) for MACE, and 1.36 (95% CI, 0.68 to 2.72) and 2.08 (95% CI, 1.06 to 4.05) for all-cause mortality. However, the risk of CKD progression did not differ between the three groups.
Conclusion
This study showed that higher HbA1c levels were associated with an increased risk of MACE and mortality in patients with CKD and T2DM.

Citations

Citations to this article as recorded by  
  • Unveiling the utility of artificial intelligence for prediction, diagnosis, and progression of diabetic kidney disease: an evidence-based systematic review and meta-analysis
    Sagar Dholariya, Siddhartha Dutta, Amit Sonagra, Mehul Kaliya, Ragini Singh, Deepak Parchwani, Anita Motiani
    Current Medical Research and Opinion.2024; : 1.     CrossRef
  • Non-Alcoholic Fatty Liver Disease and Its Association with Kidney and Cardiovascular Outcomes in Moderate to Advanced Chronic Kidney Disease
    Cheol Ho Park, Hyunsun Lim, Youn Nam Kim, Jae Young Kim, Hyung Woo Kim, Tae Ik Chang, Seung Hyeok Han
    American Journal of Nephrology.2024; : 1.     CrossRef
  • The Beneficial Effect of Glycemic Control against Adverse Outcomes in Patients with Type 2 Diabetes Mellitus and Chronic Kidney Disease
    Dong-Hwa Lee
    Diabetes & Metabolism Journal.2023; 47(4): 484.     CrossRef
  • Prevalence and predictors of chronic kidney disease among type 2 diabetic patients worldwide, systematic review and meta-analysis
    Eneyew Talie Fenta, Habitu Birhan Eshetu, Natnael Kebede, Eyob Ketema Bogale, Amare Zewdie, Tadele Derbew Kassie, Tadele Fentabil Anagaw, Elyas Melaku Mazengia, Sintayehu Shiferaw Gelaw
    Diabetology & Metabolic Syndrome.2023;[Epub]     CrossRef
  • Efficacy and safety of teneligliptin in patients with type 2 diabetes mellitus: a Bayesian network meta-analysis
    Miao Zhu, Ruifang Guan, Guo Ma
    Frontiers in Endocrinology.2023;[Epub]     CrossRef

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