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.
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: Scott M Sutherland; Lakhmir S Chawla; Sandra L Kane-Gill; Raymond K Hsu; Andrew A Kramer; Stuart L Goldstein; John A Kellum; Claudio Ronco; Sean M Bagshaw Journal: Can J Kidney Health Dis Date: 2016-02-26
Authors: M Wijnberge; J Schenk; E Bulle; A P Vlaar; K Maheshwari; M W Hollmann; J M Binnekade; B F Geerts; D P Veelo Journal: BJS Open Date: 2021-01-08
Authors: Ana Paula Camargos de Figueirêdo Neves; Angélica Gomides Dos Reis Gomes; Paula Frizera Vassallo; Ana Cristina Simões E Silva; Francisco Guilherme Cancela E Penna; Fabrício de Lima Bastos; Mateus Rocha Muniz; Guilherme Carvalho Rocha; Augusto Cesar Soares Dos Santos Júnior; Cecilia Gómez Ravetti; Vandack Nobre Journal: Sao Paulo Med J Date: 2022 Jul-Aug Impact factor: 1.838
Authors: Thiago Gomes Romano; Ivana Schmidtbauer; Fernanda Maria de Queiroz Silva; Carlos Eduardo Pompilio; Luiz Augusto Carneiro D'Albuquerque; Etienne Macedo Journal: PLoS One Date: 2013-05-23 Impact factor: 3.240