| Autor: |
Ueki, Kenji, Tsuchimoto, Akihiro, Matsukuma, Yuta, Nakagawa, Kaneyasu, Tsujikawa, Hiroaki, Masutani, Kosuke, Tanaka, Shigeru, Kaku, Keizo, Noguchi, Hiroshi, Okabe, Yasuhiro, Unagami, Kohei, Kakuta, Yoichi, Okumi, Masayoshi, Nakamura, Masafumi, Tsuruya, Kazuhiko, Nakano, Toshiaki, Tanabe, Kazunari, Kitazono, Takanari, investigators, Japan Academic Consortium of Kidney Transplantation |
| Předmět: |
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| Zdroj: |
Nephrology Dialysis Transplantation; Feb2021, Vol. 36 Issue 2, p365-374, 10p |
| Abstrakt: |
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. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
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