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Ueki K, Tsuchimoto A, Matsukuma Y, Nakagawa K, Tsujikawa H, Masutani K, Tanaka S, Kaku K, Noguchi H, Okabe Y, Unagami K, Kakuta Y, Okumi M, Nakamura M, Tsuruya K, Nakano T, Tanabe K, Kitazono T. Development and validation of a risk score for the prediction of cardiovascular disease in living donor kidney transplant recipients. Nephrol Dial Transplant 2021; 36:365-374. [PMID: 33367750 DOI: 10.1093/ndt/gfaa275] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2019] [Accepted: 09/04/2020] [Indexed: 12/12/2022] Open
Abstract
BACKGROUND Cardiovascular disease (CVD) is a major cause of death in kidney transplant (KT) recipients. To improve their long-term survival, it is clinically important to estimate the risk of CVD after living donor KT via adequate pre-transplant CVD screening. METHODS A derivation cohort containing 331 KT recipients underwent living donor KT at Kyushu University Hospital from January 2006 to December 2012. A prediction model was retrospectively developed and risk scores were investigated via a Cox proportional hazards regression model. The discrimination and calibration capacities of the prediction model were estimated via the c-statistic and the Hosmer-Lemeshow goodness of fit test. External validation was estimated via the same statistical methods by applying the model to a validation cohort of 300 KT recipients who underwent living donor KT at Tokyo Women's Medical University Hospital. RESULTS In the derivation cohort, 28 patients (8.5%) had CVD events during the observation period. Recipient age, CVD history, diabetic nephropathy, dialysis vintage, serum albumin and proteinuria at 12 months after KT were significant predictors of CVD. A prediction model consisting of integer risk scores demonstrated good discrimination (c-statistic 0.88) and goodness of fit (Hosmer-Lemeshow test P = 0.18). In a validation cohort, the model demonstrated moderate discrimination (c-statistic 0.77) and goodness of fit (Hosmer-Lemeshow test P = 0.15), suggesting external validity. CONCLUSIONS The above-described simple model for predicting CVD after living donor KT was accurate and useful in clinical situations.
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Affiliation(s)
- Kenji Ueki
- Department of Medicine and Clinical Science, Kyushu University, Fukuoka, Japan
| | - Akihiro Tsuchimoto
- Department of Medicine and Clinical Science, Kyushu University, Fukuoka, Japan
| | - Yuta Matsukuma
- Department of Medicine and Clinical Science, Kyushu University, Fukuoka, Japan
| | - Kaneyasu Nakagawa
- Department of Medicine and Clinical Science, Kyushu University, Fukuoka, Japan
| | - Hiroaki Tsujikawa
- Department of Medicine and Clinical Science, Kyushu University, Fukuoka, Japan
| | - Kosuke Masutani
- Department of Internal Medicine, Faculty of Medicine, Division of Nephrology and Rheumatology, Fukuoka University, Fukuoka, Japan
| | - Shigeru Tanaka
- Department of Medicine and Clinical Science, Kyushu University, Fukuoka, Japan
| | - Keizo Kaku
- Department of Surgery and Oncology, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Hiroshi Noguchi
- Department of Surgery and Oncology, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Yasuhiro Okabe
- Department of Surgery and Oncology, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Kohei Unagami
- Department of Organ Transplant Medicine, Tokyo Women's Medical University, Tokyo, Japan
| | - Yoichi Kakuta
- Department of Urology, Tokyo Women's Medical University, Tokyo, Japan
| | - Masayoshi Okumi
- Department of Urology, Tokyo Women's Medical University, Tokyo, Japan
| | - Masafumi Nakamura
- Department of Surgery and Oncology, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | | | - Toshiaki Nakano
- Department of Medicine and Clinical Science, Kyushu University, Fukuoka, Japan
| | - Kazunari Tanabe
- Department of Urology, Tokyo Women's Medical University, Tokyo, Japan
| | - Takanari Kitazono
- Department of Medicine and Clinical Science, Kyushu University, Fukuoka, Japan
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Denosumab Recovers Aortic Arch Calcification During Long-Term Hemodialysis. Kidney Int Rep 2020; 6:605-612. [PMID: 33732975 PMCID: PMC7938059 DOI: 10.1016/j.ekir.2020.12.002] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2020] [Revised: 11/21/2020] [Accepted: 12/08/2020] [Indexed: 12/15/2022] Open
Abstract
Introduction Aortic arch calcification (AoAC) is related closely to mortality risk in patients undergoing maintenance dialysis. Recent experimentally obtained data suggest that osteoprotegerin/receptor activator for nuclear factor κB ligand signal transmission plays a role in de novo chondrogenic transition of vascular cells leading to calcification that is unrelated to bone metabolism. This study investigated the long-term effects of denosumab, an osteoprotegerin mimic peptide, on AoAC. Methods This study examined 58 patients with an 8 year vintage of dialysis at 1 center for observational study during 2009 to 2020. Denosumab was administered to 28 patients every 6 months. Blood chemical data were used. AoAC proportions were measured using a simple but computed tomography–equivalent computer-based chest X-ray analysis (calcified pieces of areas around the aorta). Results Blood chemical data of the control and denosumab groups that did not differ at the start showed differences of mineral metabolism after 30 months of observation. Remarkably, the AoAC proportion increased from 29.4% to 46.25% in the control group but decreased significantly from 25.0% to 20.0% (P < 0.01) in the denosumab group. Denosumab effects on decalcification were not observed 12 months after initiation. Conclusion We conclude that long-term use of denosumab is effective to reverse or treat AoAC in patients undergoing hemodialysis.
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