Development of predisposition, injury, response, organ failure model for predicting acute kidney injury in acute on chronic liver failure

Autor:	Chandan Kumar Kedarisetty, Chundamannil E. Eapen, Barjesh Chander Sharma, Osamu Yokosuka, Rajendra Prasad Mathur, Samir Shah, Yogesh Chawla, Chhagan Bihari, Albert C. Y. Chan, Diana Alcantara-Payawal, Rakhi Maiwall, Ashish Goel, Kapil Sharma, Viniyendra Pamecha, Soek Siam Tan, Vivek A. Saraswat, Harshad Devarbhavi, Shivendra Singh Chandel, Abdul Kadir Dokmeci, Ajeet Singh Bhadoria, Suman Lata Nayak, Y. Chen, Manish Sharma, Jia Ji, Gamal Shiha, Ashok Chowdhury, Piyawat Komolmit, Wasim Jafri, Richard Moreau, Mohamed Rela, Dong Joon Kim, Amna Subhan Butt, Ajit Sood, Suman Kumar, Qin Ning, Salimur Rahman, Man-Fung Yuen, Zhongping Duan, George K. K. Lau, Priyanka Jain, Ankit Bhardwaj, Deepak Amarapurkar, Laurentius A. Lesmana, Shiv Kumar Sarin, Saeed Hamid, Archana Rastogi, Zeeshan A. Wani, Radhakrishan Dhiman, Zaigham Abbas, Ajay Duseja, Guan Huei Lee, Chitranshu Vashishtha, Kapil Dev Jamwal, Mamun-Al-Mahtab, H. Ghazinyan, Guresh Kumar
Rok vydání:	2017
Předmět:	Adult Male medicine.medical_specialty Asia Bilirubin Kaplan-Meier Estimate Risk Assessment Gastroenterology Decision Support Techniques Nephrotoxicity 03 medical and health sciences chemistry.chemical_compound 0302 clinical medicine Predictive Value of Tests Risk Factors Internal medicine Odds Ratio medicine Humans Acute on chronic liver failure Prospective Studies Derivation Retrospective Studies Creatinine Hepatology business.industry Acute kidney injury Acute-On-Chronic Liver Failure Reproducibility of Results Acute Kidney Injury Middle Aged Prognosis medicine.disease Systemic inflammatory response syndrome Nomograms Logistic Models chemistry 030220 oncology & carcinogenesis Multivariate Analysis Cohort Linear Models Female 030211 gastroenterology & hepatology business Biomarkers
Zdroj:	Liver International. 37:1497-1507
ISSN:	1478-3223
DOI:	10.1111/liv.13443
Popis:	Background and Aim There is limited data on predictors of acute kidney injury in acute on chronic liver failure. We developed a PIRO model (Predisposition, Injury, Response, Organ failure) for predicting acute kidney injury in a multicentric cohort of acute on chronic liver failure patients. Patients and Methods Data of 2360 patients from APASL-ACLF Research Consortium (AARC) was analysed. Multivariate logistic regression model (PIRO score) was developed from a derivation cohort (n=1363) which was validated in another prospective multicentric cohort of acute on chronic liver failure patients (n=997). Results Factors significant for P component were serum creatinine[(≥2 mg/dL)OR 4.52, 95% CI (3.67-5.30)], bilirubin [(
Databáze:	OpenAIRE
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