Prediction model of renal function recovery for primary membranous nephropathy with acute kidney injury.

Prediction model of renal function recovery for primary membranous nephropathy with acute kidney injury.
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原发性膜性肾病合并急性肾损伤肾功能恢复预测模型

DOI:
10.1186/s12882-022-02882-9
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发表时间:
2022-07-13
期刊:
影响因子:
2.3
通讯作者:
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中科院分区:
医学4区
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急性肾损伤(AKI)原发性膜性肾病(PMN)患者肾功能恢复对肾功能进展的临床和病理影响因素尚未见报道,我们试图研究可能影响肾功能恢复的因素,并建立预测AKI合并PMN患者肾功能恢复的列线图模型。 纳入温州医科大学附属第一医院肾内科2012 - 2018年和2019 - 2020年的两个AKI合并PMN队列,即2012 - 2018年的推导队列和2019 - 2020年的验证队列。获取临床特征和肾脏病理特征。结果评估指标为12个月内肾功能的恢复情况。采用套索回归进行临床和病理特征筛选。建立预测模型并绘制列线图。进行包括校准曲线在内的模型评估。 在推导队列和验证队列中,分别有124例患者中的72例(58.1%)和72例患者中的41例(56.9%)肾功能恢复。预后列线图模型包括性别、年龄、高血压肾病合并症、肾小球基底膜分期和利尿剂治疗等决定因素,在推导队列中一致性指数合理,为0.773(95%置信区间,0.716 - 0.830),在验证队列中为0.773(95%置信区间,0.693 - 0.853)。利尿剂的使用是AKI合并PMN患者肾功能恢复降低的一个重要影响因素。 预测列线图模型为AKI合并PMN患者的肾功能恢复提供了有用的预后工具。 在线版本包含补充材料,可在10.1186/s12882 - 022 - 02882 - 9获取。
The clinical and pathological impact factors for renal function recovery in acute kidney injury (AKI) on the progression of renal function in primary membranous nephropathy (PMN) with AKI patients have not yet been reported, we sought to investigate the factors that may influence renal function recovery and develop a nomogram model for predicting renal function recovery in PMN with AKI patients. Two PMN with AKI cohorts from the Nephrology Department, the First Affiliated Hospital of Wenzhou Medical University during 2012–2018 and 2019–2020 were included, i.e., a derivation cohort during 2012–2018 and a validation cohort during 2019–2020. Clinical characteristics and renal pathological features were obtained. The outcome measurement was the recovery of renal function within 12 months. Lasso regression was used for clinical and pathological features selection. Prediction model was built and nomogram was plotted. Model evaluations including calibration curves were performed. Renal function recovery was found in 72 of 124 (58.1%) patients and 41 of 72 (56.9%) patients in the derivation and validation cohorts, respectively. The prognostic nomogram model included determinants of sex, age, the comorbidity of hypertensive nephropathy, the stage of glomerular basement membrane and diuretic treatment with a reasonable concordance index of 0.773 (95%CI,0.716–0.830) in the derivation cohort and 0.773 (95%CI, 0.693–0.853) in the validation cohort. Diuretic use was a significant impact factor with decrease of renal function recovery in PMN with AKI patients. The predictive nomogram model provides useful prognostic tool for renal function recovery in PMN patients with AKI. The online version contains supplementary material available at 10.1186/s12882-022-02882-9.
DOI: 10.1080/0886022x.2021.1942913
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