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术前 NT-proBNP 和 LVEF 对非心脏手术后急性肾损伤的预测:一项单中心回顾性研究。

Preoperative NT-proBNP and LVEF for the prediction of acute kidney injury after noncardiac surgery: a single-centre retrospective study.

机构信息

Department of Anaesthesiology, Nanfang Hospital, Southern Medical University, 1838 Guangzhou Avenue North, Guangzhou, 510515, China.

出版信息

BMC Anesthesiol. 2022 Jun 24;22(1):196. doi: 10.1186/s12871-022-01727-0.

Abstract

BACKGROUND

Acute kidney injury (AKI) is one of the most common postoperative complications in noncardiac surgical patients, has an important impact on prognosis and is difficult to predict. Whether preoperative N-terminal pro-brain natriuretic peptide (NT-proBNP) concentrations and left ventricular ejection fraction (LVEF) levels can predict postoperative AKI in noncardiac surgical patients is unclear.

METHODS

We included 3,314 patients who underwent noncardiac surgery and had measurements of preoperative NT-proBNP concentrations and LVEF levels at a tertiary academic hospital in China between 2008 and 2018. Multiple logistic regression analysis was used to construct a postoperative AKI risk prediction model for this cohort. Then, NT-proBNP concentrations and LVEF levels were included in the abovementioned model as independent variables, and the predictive ability of these two models was compared.

RESULTS

Postoperative AKI occurred in 223 (6.72%) patients within 1 week after surgery. Preoperative NT-proBNP concentrations and LVEF levels were independent predictors of AKI after adjustment for clinical variables. The area under the receiver operating characteristic curve (AUROC) of the AKI risk predictive model established with clinical baseline variables was 0.767 (95% CI: 0.732, 0.802). When NT-proBNP concentrations and LVEF levels were added to the base model, the AUROC was 0.811 (95% CI: 0.779, 0.843). The addition of NT-proBNP concentrations and LVEF levels improved reclassification by 22.9% (95% CI 10.5-34.4%) for patients who developed postoperative AKI and by 36.3% (95% CI 29.5-43.9%) for those who did not, resulting in a significant overall improvement in net reclassification (NRI: 0.591, 95% CI 0.437-0.752, P < 0.000). The integral discrimination improvement was 0.100 (95% CI: 0.075, 0.125, P < 0.000).The final postoperative AKI prediction model was constructed, and had a good discriminative ability and fitted to the dataset.

CONCLUSIONS

Preoperative NT-proBNP concentrations and LVEF levels were independently associated with the risk of AKI after noncardiac surgery, and they could improve the predictive ability of logistic regression models based on conventional clinical risk factors.

TRIAL REGISTRATION

The protocol was preregistered in the Chinese Clinical Trial Registry ( ChiCTR1900024056 ).

摘要

背景

急性肾损伤(AKI)是接受非心脏手术患者最常见的术后并发症之一,对预后有重要影响,且难以预测。术前 N 端脑利钠肽前体(NT-proBNP)浓度和左心室射血分数(LVEF)水平是否可以预测非心脏手术患者的术后 AKI 尚不清楚。

方法

我们纳入了 2008 年至 2018 年在中国一家三级学术医院接受非心脏手术且术前有 NT-proBNP 浓度和 LVEF 水平测量的 3314 例患者。使用多因素逻辑回归分析构建该队列的术后 AKI 风险预测模型。然后,将 NT-proBNP 浓度和 LVEF 水平作为独立变量纳入上述模型,并比较这两个模型的预测能力。

结果

术后 1 周内,223 例(6.72%)患者发生 AKI。调整临床变量后,术前 NT-proBNP 浓度和 LVEF 水平是 AKI 的独立预测因子。基于临床基线变量建立的 AKI 风险预测模型的受试者工作特征曲线下面积(AUROC)为 0.767(95%CI:0.732,0.802)。当将 NT-proBNP 浓度和 LVEF 水平添加到基础模型中时,AUROC 为 0.811(95%CI:0.779,0.843)。NT-proBNP 浓度和 LVEF 水平的添加使术后 AKI 患者的再分类改善了 22.9%(95%CI:10.5-34.4%),使未发生 AKI 的患者的再分类改善了 36.3%(95%CI:29.5-43.9%),整体再分类显著改善(NRI:0.591,95%CI:0.437-0.752,P<0.000)。积分鉴别力提高了 0.100(95%CI:0.075,0.125,P<0.000)。构建了最终的术后 AKI 预测模型,具有良好的判别能力,并与数据集拟合。

结论

术前 NT-proBNP 浓度和 LVEF 水平与非心脏手术后 AKI 风险独立相关,可提高基于常规临床危险因素的逻辑回归模型的预测能力。

试验注册

方案在中国临床试验注册中心(ChiCTR1900024056)预先注册。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cbd7/9229082/a15e9235faea/12871_2022_1727_Fig1_HTML.jpg

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