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Study Protocols
Study protocol for a consortium linking health medical records, biospecimens, and biosignals in Korean patients with acute kidney injury (LINKA cohort)
Donghwan Yun, Seung Seok Han, Jeonghwan Lee et al.
Received March 2, 2024 Accepted June 28, 2024 Published online November 11, 2024
[Epub ahead of print]
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Cardiac and kidney outcomes after sacubitril-valsartan therapy: recovery of cardiac function relative to kidney function decline
Hyo Jeong Kim, Eunji Yang, Hee Byung Koh, Jong Hyun Jhee, Hyeong Cheon Park, Hoon Young Choi
Kidney Res Clin Pract.
2024;43(5):614-625. Published online September 30, 2024
DOI:
https://doi.org/10.23876/j.krcp.24.021
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Predicting long-term mortality of patients with postoperative acute kidney injury following noncardiac general anesthesia surgery using machine learning
Bo Yeon Choi, Wona Choi, Jiwon Min et al.
Received April 12, 2024 Accepted July 1, 2024 Published online September 26, 2024
[Epub ahead of print]
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Early single session of hyperbaric oxygen therapy mitigates renal apoptosis in lipopolysaccharides-induced endotoxemia in rats
Hyoung Youn Lee, In Jin Kim, Hong Sang Choi et al.
Received November 15, 2023 Accepted February 13, 2024 Published online July 11, 2024
[Epub ahead of print]
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Review Articles
Unveiling the enigma of acute kidney disease: predicting prognosis, exploring interventions, and embracing a multidisciplinary approach
Szu-Yu Pan, Thomas Tao-Min Huang, Zheng-Hong Jiang et al.
Kidney Res Clin Pract.
2024;43(4):406-416. Published online June 25, 2024
DOI:
https://doi.org/10.23876/j.krcp.23.289
Web of Science 1
Cited By 1
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Biomarkers in pursuit of precision medicine for acute kidney injury: hard to get rid of customs
Kun-Mo Lin, Ching-Chun Su, Jui-Yi Chen et al.
Kidney Res Clin Pract.
2024;43(4):393-405. Published online June 25, 2024
DOI:
https://doi.org/10.23876/j.krcp.23.284
Web of Science 1
Cited By 1
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Original Articles
Validation of prediction model for successful discontinuation of continuous renal replacement therapy: a multicenter cohort study
Junseok Jeon, Eun Jeong Ko, Hyejeong Park et al.
Kidney Res Clin Pract.
2024;43(4):528-537. Published online June 20, 2024
DOI:
https://doi.org/10.23876/j.krcp.23.308
Web of Science 1
Cited By 1
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Review Articles
Artificial intelligence and machine learning’s role in sepsis-associated acute kidney injury
Wisit Cheungpasitporn, Charat Thongprayoon, Kianoush B. Kashani
Kidney Res Clin Pract.
2024;43(4):417-432. Published online June 20, 2024
DOI:
https://doi.org/10.23876/j.krcp.23.298
Web of Science 2
Cited By 3
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Original Articles
The effect of pharmacist-led medication therapy management in the multidisciplinary care of acute kidney injury survivors
Ting Wang, Hao-Cheng Kang, Chien-Chih Wu, Tsung-Lin Wu, Chih-Fen Huang, Vin-Cent Wu
Kidney Res Clin Pract.
2024;43(4):548-558. Published online June 18, 2024
DOI:
https://doi.org/10.23876/j.krcp.23.306
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A machine learning-based approach for predicting renal function recovery in general ward patients with acute kidney injury
Nam-Jun Cho, Inyong Jeong, Yeongmin Kim et al.
Kidney Res Clin Pract.
2024;43(4):538-547. Published online June 17, 2024
DOI:
https://doi.org/10.23876/j.krcp.23.330
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Differences in the incidence, characteristics, and outcomes of patients with acute kidney injury in the medical and surgical intensive care units
Yeji Lee, Taeil Kim, Dong Eon Kim et al.
Kidney Res Clin Pract.
2024;43(4):518-527. Published online June 17, 2024
DOI:
https://doi.org/10.23876/j.krcp.23.312
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Mortality of elderly patients with acute kidney injury undergoing continuous renal replacement therapy: is age a risk factor?
Ji Hye Kim, Sang Hun Eum, Hyoung Woo Kim et al.
Kidney Res Clin Pract.
2024;43(4):505-517. Published online June 13, 2024
DOI:
https://doi.org/10.23876/j.krcp.23.313
Web of Science 1
Cited By 1
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Phosphate level predicts mortality in acute kidney injury patients undergoing continuous kidney replacement therapy and has a U-shaped association with mortality in patients with high disease severity: a multicenter retrospective study
Young Hwan Lee, Soyoung Lee, Yu Jin Seo et al.
Kidney Res Clin Pract.
2024;43(4):492-504. Published online June 13, 2024
DOI:
https://doi.org/10.23876/j.krcp.23.311
Web of Science 1
Cited By 1
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Kidney Research
and
Clinical Practice
Print ISSN: 2211-9132
Online ISSN: 2211-9140
Impact Factor
2.9
MOST VIEWED
MOST CITED
3,301
Unveiling the enigma of acute kidney disease: predicting prognosis, exploring interventions, and embracing a multidisciplinary approach
7,527
Genetic variants of interferon lambda-related genes and chronic kidney disease susceptibility in the Korean population
2,829
Biomarkers in pursuit of precision medicine for acute kidney injury: hard to get rid of customs
11,599
How should we treat acute kidney injury caused by renal congestion?
2,578
Artificial intelligence and machine learning’s role in sepsis-associated acute kidney injury
+more
Cited By
29
GLP-1 receptor agonists in diabetic kidney disease: current evidence and future directions
Cited By
21
Association between blood pressure and the risk of chronic kidney disease in treatment-naïve hypertensive patients
Cited By
17
Uremic pruritus: pathophysiology, clinical presentation, and treatments
Cited By
17
Serum cystatin C to creatinine ratio is associated with sarcopenia in non-dialysis-dependent chronic kidney disease
Cited By
16
Deep learning predicts the differentiation of kidney organoids derived from human induced pluripotent stem cells
+more
ABOUT
Aims and scope
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BROWSE ARTICLES
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