Using the kidney failure risk equation to predict end-stage kidney disease in CKD patients of South Asian ethnicity: an external validation study.

Francesca Maher, Lucy Teece, Rupert W Major, Naomi Bradbury, James F Medcalf, Nigel J Brunskill, Sarah Booth, Laura J Gray
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Abstract

Background: The kidney failure risk equation (KFRE) predicts the 2- and 5-year risk of needing kidney replacement therapy (KRT) using four risk factors - age, sex, urine albumin-to-creatinine ratio (ACR) and creatinine-based estimated glomerular filtration rate (eGFR). Although the KFRE has been recalibrated in a UK cohort, this did not consider minority ethnic groups. Further validation of the KFRE in different ethnicities is a research priority. The KFRE also does not consider the competing risk of death, which may lead to overestimation of KRT risk. This study externally validates the KFRE for patients of South Asian ethnicity and compares methods for accounting for ethnicity and the competing event of death.

Methods: Data were gathered from an established UK cohort containing 35,539 individuals diagnosed with chronic kidney disease. The KFRE was externally validated and updated in several ways taking into account ethnicity, using recognised methods for time-to-event data, including the competing risk of death. A clinical impact assessment compared the updated models through consideration of referrals made to secondary care.

Results: The external validation showed the risk of KRT differed by ethnicity. Model validation performance improved when incorporating ethnicity and its interactions with ACR and eGFR as additional risk factors. Furthermore, accounting for the competing risk of death improved prediction. Using criteria of 5 years ≥ 5% predicted KRT risk, the competing risks model resulted in an extra 3 unnecessary referrals (0.59% increase) but identified an extra 1 KRT case (1.92% decrease) compared to the previous best model. Hybrid criteria of predicted risk using the competing risks model and ACR ≥ 70 mg/mmol should be used in referrals to secondary care.

Conclusions: The accuracy of KFRE prediction improves when updated to consider South Asian ethnicity and to account for the competing risk of death. This may reduce unnecessary referrals whilst identifying risks of KRT and could further individualise the KFRE and improve its clinical utility. Further research should consider other ethnicities.

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使用肾衰竭风险方程预测南亚裔CKD患者的终末期肾病:一项外部验证研究。
背景:肾衰竭风险方程(KFRE)使用四个风险因素——年龄、性别、尿白蛋白与肌酐比值(ACR)和基于肌酐的估计肾小球滤过率(eGFR)——预测需要肾脏替代治疗(KRT)的2年和5年风险。尽管KFRE已经在英国人群中重新校准,但这并没有考虑少数民族。在不同种族中进一步验证KFRE是研究的优先事项。KFRE也没有考虑死亡的竞争风险,这可能会导致对KRT风险的高估。这项研究从外部验证了南亚裔患者的KFRE,并比较了种族和竞争性死亡事件的核算方法。方法:从一个已建立的英国队列中收集数据,该队列包含35539名被诊断为慢性肾脏疾病的患者。KFRE通过多种方式进行了外部验证和更新,考虑到种族,使用公认的事件时间数据方法,包括竞争性死亡风险。一项临床影响评估通过考虑转诊到二级护理对更新后的模型进行了比较。结果:外部验证显示KRT的风险因种族而异。当将种族及其与ACR和eGFR的相互作用作为额外的风险因素时,模型验证性能得到了改善。此外,考虑到死亡的竞争风险改进了预测。使用5年≥5%预测KRT风险的标准,竞争风险模型导致了额外3例不必要的转诊(增加0.59%),但与之前的最佳模型相比,发现了额外1例KRT病例(减少1.92%)。使用竞争风险模型预测风险和ACR≥70 mg/mmol的混合标准应用于二级护理的转诊。结论:当考虑到南亚种族并考虑到死亡的竞争风险时,KFRE预测的准确性会提高。这可以减少不必要的转诊,同时识别KRT的风险,并可以进一步个性化KFRE并提高其临床实用性。进一步的研究应该考虑其他种族。
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