Anderson Josephine L C, Poot Margot L, Steffen Hannah L M, Kremer Daan, Bakker Stephan J L, Tietge Uwe J F
Department of Internal Medicine, University Medical Center Groningen, University of Groningen, 9713 GZ Groningen, The Netherlands.
Department of Pediatrics, University Medical Center Groningen, University of Groningen, 9713 GZ Groningen, The Netherlands.
J Clin Med. 2021 Jul 26;10(15):3287. doi: 10.3390/jcm10153287.
Predicting chronic graft failure in renal transplant recipients (RTR) is an unmet clinical need. Chronic graft failure is often accompanied by transplant vasculopathy, the formation of de novo atherosclerosis in the transplanted kidney. Therefore, we determined whether the 10-year Framingham risk score (FRS), an established atherosclerotic cardiovascular disease prediction module, is associated with chronic graft failure in RTR. In this prospective longitudinal study, 600 well-characterised RTR were followed for 10 years. The association with death-censored chronic graft failure ( = 81, 13.5%) was computed. An extended Cox model showed that each one percent increase of the FRS significantly increased the risk of chronic graft failure by 4% (HR: 1.04, < 0.001). This association remained significant after adjustment for potential confounders, including eGFR (HR: 1.03, = 0.014). Adding the FRS to eGFR resulted in a higher AUC in a receiver operating curve (AUC = 0.79, < 0.001) than eGFR alone (AUC = 0.75, < 0.001), and an improvement in the model likelihood ratio statistic (67.60 to 88.39, < 0.001). These results suggest that a combination of the FRS and eGFR improves risk prediction. The easy to determine and widely available FRS has clinical potential to predict chronic graft failure in RTR.
预测肾移植受者(RTR)的慢性移植肾失功是一项尚未满足的临床需求。慢性移植肾失功常伴有移植肾血管病变,即移植肾中出现新生动脉粥样硬化。因此,我们确定了既定的动脉粥样硬化性心血管疾病预测模型——10年弗明汉风险评分(FRS)是否与RTR的慢性移植肾失功相关。在这项前瞻性纵向研究中,对600例特征明确的RTR进行了为期10年的随访。计算了FRS与死亡校正的慢性移植肾失功(n = 81,13.5%)之间的关联。扩展的Cox模型显示,FRS每增加1%,慢性移植肾失功的风险显著增加4%(HR:1.04,P < 0.001)。在对包括估算肾小球滤过率(eGFR)在内的潜在混杂因素进行校正后,这种关联仍然显著(HR:1.03,P = 0.014)。在受试者工作特征曲线中,将FRS加入eGFR后得到的曲线下面积(AUC = 0.79,P < 0.001)高于单独使用eGFR时(AUC = 0.75,P < 0.001),并且模型似然比统计量有所改善(从67.60提高到88.39,P < 0.001)。这些结果表明,FRS与eGFR联合使用可改善风险预测。易于确定且广泛可用的FRS在预测RTR慢性移植肾失功方面具有临床潜力。