Literature DB >> 23328598

[Value of power Doppler ultrasound to evaluate acute kidney injury].

Xiu-kai Chen1, Li-feng Huang, Xiao-ting Wang, Zhan-jun Qiu, Hong-min Zhang, Wen-xiong Li.   

Abstract

OBJECTIVE: To explore the value of power Doppler ultrasound (PDU) in the evaluation of acute kidney injury(AKI).
METHODS: Renal blood flow of 40 AKI cases was monitored by power Doppler ultrasound and 4-level semiquantitative PDU score method employed. All cases were divided into 3 groups by PDU score. AKI stage and duration were compared. And the co-variables of death and (continuous renal replacement therapy) CRRT days (> 3) were also analyzed by Logistic regression analysis.
RESULTS: A total of 40 AKI case were recruited. The 3-score group (n = 13)has lower mortality in intensive care unit and at 28 days than the 2-score group (n = 15) and the 1-score group (n = 12). The number of stage-3 AKI in the 3-score group was less than that in the 2-score and 1-score groups (n = 1, 4, 9 correspondingly, χ(2) = 16.103, degree of freedom = 4, P = 0.003). The number of persistent AKI in the 3-score group was less than that in the 2-score and 1-score groups (n = 3, 9, 10 correspondingly, P < 0.05). Age, APACHEII score and PDU score (< 3) were closely correlated with death while age, APACHEII score, level of serum creatinine and PDU score (< 3) with CRRT days (> 3) (P < 0.05).
CONCLUSION: PDU may be used to monitor renal hemodynamics in AKI patients and its score helps clinicians to evaluate the severity and prognosis of AKI.

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Year:  2012        PMID: 23328598

Source DB:  PubMed          Journal:  Zhonghua Yi Xue Za Zhi        ISSN: 0376-2491


  2 in total

Review 1.  Clarifications on Continuous Renal Replacement Therapy and Hemodynamics.

Authors:  Xiao-Ting Wang; Cui Wang; Hong-Min Zhang; Da-Wei Liu
Journal:  Chin Med J (Engl)       Date:  2017-05-20       Impact factor: 2.628

2.  Renal echography for predicting acute kidney injury in critically ill patients: a prospective observational study.

Authors:  Hai Jun Zhi; Yong Li; Bo Wang; Xiao Ya Cui; Meng Zhang; Zhen Jie Hu
Journal:  Ren Fail       Date:  2020-11       Impact factor: 2.606

  2 in total

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