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An effective model for predicting acute kidney injury after liver transplantation.
Hepatobiliary Pancreat Dis Int. 2010 Jun; 9(3):259-63.HP

Abstract

BACKGROUND

Acute kidney injury (AKI) is a common complication in the early period after liver transplantation (LT), posing an enormous obstacle to treatment efficiency and patient survival. However, the exact influencing factors of AKI are still unclear and a predictive model is desperately required in the clinic.

METHODS

Data of 102 consecutive LTs were reviewed. A model for predicting AKI was established and further validated in a prospective study of 44 patients receiving LT.

RESULTS

The incidence of AKI was 32.4%. AKI patients showed a significantly lower survival rate than non-AKI patients. Multivariate analysis demonstrated the independent influencing factors of AKI were preoperative serum creatinine >1.2 mg/dl, intraoperative urine output <or=60 ml/h, intraoperative hypotension status, and intraoperative use of noradrenaline. A model was then established and showed a sensitivity of 75.0%, a specificity of 93.8%, and an accuracy of 88.6% in predicting AKI.

CONCLUSIONS

High preoperative serum creatinine, low intraoperative urine output, and intraoperative hypotension contribute to the development of AKI, and intraoperative use of noradrenaline serves as a protective factor. The predictive model could potentially facilitate early prediction and surveillance of AKI.

Authors+Show Affiliations

Department of Hepatobiliary and Pancreatic Surgery, First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.No affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info available

Pub Type(s)

Journal Article
Research Support, Non-U.S. Gov't
Validation Study

Language

eng

PubMed ID

20525552

Citation

Xu, Xiao, et al. "An Effective Model for Predicting Acute Kidney Injury After Liver Transplantation." Hepatobiliary & Pancreatic Diseases International : HBPD INT, vol. 9, no. 3, 2010, pp. 259-63.
Xu X, Ling Q, Wei Q, et al. An effective model for predicting acute kidney injury after liver transplantation. Hepatobiliary Pancreat Dis Int. 2010;9(3):259-63.
Xu, X., Ling, Q., Wei, Q., Wu, J., Gao, F., He, Z. L., Zhou, L., & Zheng, S. S. (2010). An effective model for predicting acute kidney injury after liver transplantation. Hepatobiliary & Pancreatic Diseases International : HBPD INT, 9(3), 259-63.
Xu X, et al. An Effective Model for Predicting Acute Kidney Injury After Liver Transplantation. Hepatobiliary Pancreat Dis Int. 2010;9(3):259-63. PubMed PMID: 20525552.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - An effective model for predicting acute kidney injury after liver transplantation. AU - Xu,Xiao, AU - Ling,Qi, AU - Wei,Qiang, AU - Wu,Jian, AU - Gao,Feng, AU - He,Zeng-Lei, AU - Zhou,Lin, AU - Zheng,Shu-Sen, PY - 2010/6/8/entrez PY - 2010/6/9/pubmed PY - 2010/9/21/medline SP - 259 EP - 63 JF - Hepatobiliary & pancreatic diseases international : HBPD INT JO - Hepatobiliary Pancreat Dis Int VL - 9 IS - 3 N2 - BACKGROUND: Acute kidney injury (AKI) is a common complication in the early period after liver transplantation (LT), posing an enormous obstacle to treatment efficiency and patient survival. However, the exact influencing factors of AKI are still unclear and a predictive model is desperately required in the clinic. METHODS: Data of 102 consecutive LTs were reviewed. A model for predicting AKI was established and further validated in a prospective study of 44 patients receiving LT. RESULTS: The incidence of AKI was 32.4%. AKI patients showed a significantly lower survival rate than non-AKI patients. Multivariate analysis demonstrated the independent influencing factors of AKI were preoperative serum creatinine >1.2 mg/dl, intraoperative urine output <or=60 ml/h, intraoperative hypotension status, and intraoperative use of noradrenaline. A model was then established and showed a sensitivity of 75.0%, a specificity of 93.8%, and an accuracy of 88.6% in predicting AKI. CONCLUSIONS: High preoperative serum creatinine, low intraoperative urine output, and intraoperative hypotension contribute to the development of AKI, and intraoperative use of noradrenaline serves as a protective factor. The predictive model could potentially facilitate early prediction and surveillance of AKI. SN - 1499-3872 UR - https://www.unboundmedicine.com/medline/citation/20525552/An_effective_model_for_predicting_acute_kidney_injury_after_liver_transplantation_ L2 - https://ClinicalTrials.gov/search/term=20525552 [PUBMED-IDS] DB - PRIME DP - Unbound Medicine ER -