Prediction Efficiency of Postoperative Acute Kidney Injury in Acute Stanford Type A Aortic Dissection Patients with Renal Resistive Index and Semiquantitative Color Doppler

被引:12
作者
Qin, Huai [1 ]
Li, Yaqiong [2 ]
Zhang, Nan [3 ]
Wang, Tiezhu [4 ]
Fan, Zhanming [3 ]
机构
[1] Capital Med Univ, Beijing Anzhen Hosp, Dept Ultrasound, Beijing Inst Heart Lung & Blood Vessel Dis, Beijing, Peoples R China
[2] Capital Med Univ, Beijing Anzhen Hosp, Beijing Inst Heart Lung & Blood Vessel Dis, Dept Cardiovasc Intens Care,Beijing Aort Dis Ctr, Beijing, Peoples R China
[3] Capital Med Univ, Beijing Anzhen Hosp, Beijing Inst Heart Lung & Blood Vessel Dis, Dept Radiol, Beijing, Peoples R China
[4] Hosp Renmin Univ China, Dept Ultrasound, Beijing, Peoples R China
关键词
CARDIAC-SURGERY; CYSTATIN-C; BIOMARKERS; PERFUSION; OUTCOMES; URINARY; IMPACT;
D O I
10.1155/2019/4381052
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Objectives. This study is aimed to evaluate the efficiency in early prediction of postoperative persistent acute kidney injury (PAKI) after surgery in acute Stanford type A aortic dissection (AAAD) patients by using Doppler renal resistive index (RRI) and semiquantitative color (SQC) Doppler grade, respectively. Methods. 84 AAAD patients received Sun's surgical management, and 67 patients were enrolled. RRI and SQC Doppler grade were evaluated by ultrasonography, respectively, at 6 hours after surgery. Serum creatinine (sCr) was recorded before operation and at 24 hours, 48 hours, and 72 hours after operation. AKI grade was evaluated according to the classifications of the Acute Kidney Injury Network (AKIN). PAKI is defined as persistent oliguria and/or sCr elevation after 3 days. RRI and SQC Doppler grade were compared, respectively, between the PAKI and non-PAKI groups. Potential predictors were first tested by univariate logistic regression analysis, and a multivariate model was identified to determine the independent predictive ability of RRI and SQC Doppler grade for the PAKI. Receiver operating characteristic (ROC) analysis was performed to compare the diagnostic accuracy between RRI and SQC Doppler grade in early prediction of PAKI by using AKIN classifications as the reference standard. Results. Of a total of 67 patients enrolled during the study period, 21 (31.3%) patients suffered from PAKI and 8 (11.9%) patients required dialysis. There are significant differences in RRI (0.80 +/- 0.09 vs. 0.70 +/- 0.05, P=0.002) and SQC Doppler grade (x2=12.193, P=0.007) between the 2 groups with and without PAKI. Univariate analysis showed that RRI, SQC Doppler grade, length of stay in ICU, time of CPB, and length of stay in hospital were significant predictors of PAKI. RRI and the SQC Doppler grade remained independent predictors of PAKI. Area under the curve (AUC) of RRI was 0.855 (95% CI, 0.74-0.96) with cutoff value 0.725 (sensitivity 90.9% and specificity 71.1%), AUC of SQC Doppler grade was 0.642 (95% CI, 0.49-0.79) with cutoff value grade 2 (sensitivity 50% and specificity 73.3%). Conclusion. Both postoperative RRI and SQC Doppler grade are independent predictors for PAKI after surgery in AAAD patients. Both postoperative RRI and SQC Doppler grade can be obtained rapidly by bedside ultrasound, which is a good tool for early prediction for postoperative PAKI.
引用
收藏
页数:8
相关论文
共 33 条
[1]   Early detection of postoperative acute kidney injury by Doppler renal resistive index in cardiac surgery with cardiopulmonary bypass [J].
Bossard, G. ;
Bourgoin, P. ;
Corbeau, J. J. ;
Huntzinger, J. ;
Beydon, L. .
BRITISH JOURNAL OF ANAESTHESIA, 2011, 107 (06) :891-898
[2]   Relationship between the resistive index and vascular compliance and resistance [J].
Bude, RO ;
Rubin, JM .
RADIOLOGY, 1999, 211 (02) :411-417
[3]   Performance of Doppler-based resistive index and semi-quantitative renal perfusion in predicting persistent AKI: results of a prospective multicenter study [J].
Darmon, Michael ;
Bourmaud, Aurelie ;
Reynaud, Marie ;
Rouleau, Stephane ;
Meziani, Ferhat ;
Boivin, Alexandra ;
Benyamina, Mourad ;
Vincent, Francois ;
Lautrette, Alexandre ;
Leroy, Christophe ;
Cohen, Yves ;
Legrand, Matthieu ;
Morel, Jerome ;
Terreaux, Jeremy ;
Schnell, David .
INTENSIVE CARE MEDICINE, 2018, 44 (11) :1904-1913
[4]   Diagnostic accuracy of Doppler renal resistive index for reversibility of acute kidney injury in critically ill patients [J].
Darmon, Michael ;
Schortgen, Frederique ;
Vargas, Frederic ;
Liazydi, Aissam ;
Schlemmer, Benoit ;
Brun-Buisson, Christian ;
Brochard, Laurent .
INTENSIVE CARE MEDICINE, 2011, 37 (01) :68-76
[5]   Doppler resistive index to reflect regulation of renal vascular tone during sepsis and acute kidney injury [J].
Dewitte, Antoine ;
Coquin, Julien ;
Meyssignac, Bertrand ;
Joannes-Boyau, Olivier ;
Fleureau, Catherine ;
Roze, Hadrien ;
Ripoche, Jean ;
Janvier, Gerard ;
Combe, Christian ;
Ouattara, Alexandre .
CRITICAL CARE, 2012, 16 (05)
[6]  
Earlam R J, 1966, Br J Urol, V38, P288, DOI 10.1111/j.1464-410X.1966.tb09714.x
[7]   Serum uric acid may predict development of progressive acute kidney injury after open heart surgery [J].
Gaipov, Abduzhappar ;
Solak, Yalcin ;
Turkmen, Kultigin ;
Toker, Aysun ;
Baysal, Ahmet Nihat ;
Cicekler, Humeyra ;
Biyik, Zeynep ;
Erdur, Fatih Mehmet ;
Kilicaslan, Alper ;
Anil, Melih ;
Gormus, Niyazi ;
Tonbul, Halil Zeki ;
Yeksan, Mehdi ;
Turk, Suleyman .
RENAL FAILURE, 2015, 37 (01) :96-102
[8]   Renal transplantation parenchymal complications: what Doppler ultrasound can and cannot do [J].
Granata A. ;
Di Nicolò P. ;
Scarfia V.R. ;
Insalaco M. ;
Lentini P. ;
Veroux M. ;
Fatuzzo P. ;
Fiorini F. .
Journal of Ultrasound, 2015, 18 (2) :109-116
[9]   Doppler-Based Renal Resistive Index Can Assess Progression of Acute Kidney Injury in Patients Undergoing Cardiac Surgery [J].
Guinot, Pierre-Gregoire ;
Bernard, Eugenie ;
Abou Arab, Osama ;
Badoux, Louise ;
Diouf, Momar ;
Zogheib, Elie ;
Dupont, Herve .
JOURNAL OF CARDIOTHORACIC AND VASCULAR ANESTHESIA, 2013, 27 (05) :890-896
[10]   Acute kidney injury is associated with a decrease in cortical renal perfusion during septic shock [J].
Harrois, Anatole ;
Grillot, Nicolas ;
Figueiredo, Samy ;
Duranteau, Jacques .
CRITICAL CARE, 2018, 22