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预测危重症患者急性肾损伤的肾阻力指数、半定量能量多普勒超声评分和肾静脉多普勒血流形态模式的预测性能及预测模型的建立:一项前瞻性观察研究。

Predictive performance of renal resistive index, semiquantitative power Doppler ultrasound score and renal venous Doppler waveform pattern for acute kidney injury in critically ill patients and prediction model establishment: a prospective observational study.

机构信息

Emergency Department, Cangzhou Central Hospital, Cangzhou, China.

Ultrasonic Department, Cangzhou Central Hospital, Cangzhou, China.

出版信息

Ren Fail. 2023;45(2):2258987. doi: 10.1080/0886022X.2023.2258987. Epub 2023 Sep 20.

DOI:10.1080/0886022X.2023.2258987
PMID:37728063
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10512814/
Abstract

BACKGROUND

This study aimed to explore the performance of renal resistive index (RRI), semiquantitative power Doppler ultrasound (PDU) score and renal venous Doppler waveform (RVDW) pattern in predicting acute kidney injury (AKI) in critically ill patients and establish prediction models.

METHODS

This prospective observational study included 234 critically ill patients. Renal ultrasound was measured within 24 h after intensive care unit admission. The main outcome was the highest AKI stage within 5 days after admission according to the Kidney Disease Improving Global Outcomes criteria.

RESULTS

Patients in the AKI stage 3 group had significantly higher RRI, RVDW pattern and lower PDU score ( < 0.05). Only lactate, urine volume, serum creatinine (SCr) on admission, PDU score and RVDW pattern were statistically significant predictors ( < 0.05). Model 1 based on these five variables (area under the curve [AUC] = 0.938, 95% confidence interval [CI] 0.899-0.965,  < 0.05) showed the best performance in predicting AKI stage 3, and difference in AUC between it and the clinical model including lactate, urine volume and SCr (AUC = 0.901, 95% CI 0.855-0.936,  < 0.05) was statistically significant ( statistic = 2.224,  = 0.0261). The optimal cut-off point for a nomogram based on Model 1 was ≤127.67 (sensitivity: 95.8%, specificity: 82.3%, Youden's index: 0.781).

CONCLUSIONS

The nomogram model including SCr, urine volume, lactate, PDU score and RVDW pattern upon admission exhibited a significantly stronger capability for AKI stage 3 than each single indicator and clinical model including SCr, urine volume and lactate.

摘要

背景

本研究旨在探讨肾阻力指数(RRI)、半定量能量多普勒超声(PDU)评分和肾静脉多普勒血流图(RVDW)模式在预测危重症患者急性肾损伤(AKI)中的表现,并建立预测模型。

方法

这是一项前瞻性观察研究,纳入了 234 名危重症患者。在入住重症监护病房后 24 小时内进行肾脏超声检查。主要结局为根据肾脏病改善全球结局(KDIGO)标准,在入院后 5 天内发生的最高 AKI 分期。

结果

AKI 3 期组患者的 RRI 明显较高,RVDW 模式和 PDU 评分较低( < 0.05)。只有入院时的乳酸、尿量、血清肌酐(SCr)、PDU 评分和 RVDW 模式是统计学上有意义的预测因素( < 0.05)。基于这五个变量的模型 1(曲线下面积 [AUC] = 0.938,95%置信区间 [CI] 0.899-0.965,  < 0.05)在预测 AKI 3 期方面表现最佳,与包括乳酸、尿量和 SCr 的临床模型(AUC = 0.901,95%CI 0.855-0.936,  < 0.05)之间的 AUC 差异具有统计学意义(统计量= 2.224,  = 0.0261)。基于模型 1 的列线图的最佳截断点为≤127.67(灵敏度:95.8%,特异性:82.3%,约登指数:0.781)。

结论

基于入院时的 SCr、尿量、乳酸、PDU 评分和 RVDW 模式的列线图模型,在预测 AKI 3 期方面的能力明显强于 SCr、尿量和乳酸的单一指标和包括 SCr、尿量和乳酸的临床模型。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0105/10512814/d97f0903a7a1/IRNF_A_2258987_F0005_B.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0105/10512814/03316d0974b9/IRNF_A_2258987_F0001_B.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0105/10512814/aa5a9fb035dc/IRNF_A_2258987_F0002_C.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0105/10512814/a9939784554b/IRNF_A_2258987_F0003_C.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0105/10512814/38e0dbc93b51/IRNF_A_2258987_F0004_B.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0105/10512814/d97f0903a7a1/IRNF_A_2258987_F0005_B.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0105/10512814/03316d0974b9/IRNF_A_2258987_F0001_B.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0105/10512814/aa5a9fb035dc/IRNF_A_2258987_F0002_C.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0105/10512814/a9939784554b/IRNF_A_2258987_F0003_C.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0105/10512814/38e0dbc93b51/IRNF_A_2258987_F0004_B.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0105/10512814/d97f0903a7a1/IRNF_A_2258987_F0005_B.jpg

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