Development and validation of a risk nomogram for postoperative acute kidney injury in older patients undergoing liver resection: a pilot study

Postoperative acute kidney injury (AKI) is associated with poor clinical outcomes. Early identification of high-risk patients of developing postoperative AKI can optimize perioperative renal management and facilitate patient survival. The present study aims to develop and validate a nomogram to pred...

Full description

Saved in:
Bibliographic Details
Published in:BMC anesthesiology 2022-01, Vol.22 (1), p.22-22, Article 22
Main Authors: Yu, Yao, Zhang, Changsheng, Zhang, Faqiang, Liu, Chang, Li, Hao, Lou, Jingsheng, Xu, Zhipeng, Liu, Yanhong, Cao, Jiangbei, Mi, Weidong
Format: Article
Language:English
Subjects:
Acute kidney injury
Acute Kidney Injury - epidemiology
Aged
Aged patients
Blood pressure
Cardiovascular disease
China - epidemiology
Chronic kidney failure
Chronic obstructive pulmonary disease
Creatinine
Datasets
Diabetes
Disease prevention
Elderly patients
Female
Hepatectomy
Hospitals
Humans
Hypertension
Injuries
Kidney diseases
Liver
Liver - surgery
Male
Medical research
Medicine, Experimental
Mortality
Nomograms
Nonsteroidal anti-inflammatory drugs
Occlusion
Patients
Pilot Projects
Population
Postoperative Complications - epidemiology
Prediction
Prognosis
Regression analysis
Renal injury
Reproducibility of Results
Retrospective Studies
Risk Assessment
Risk groups
Risk score
Surgery
Taiwan
Variables
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Postoperative acute kidney injury (AKI) is associated with poor clinical outcomes. Early identification of high-risk patients of developing postoperative AKI can optimize perioperative renal management and facilitate patient survival. The present study aims to develop and validate a nomogram to predict postoperative AKI after liver resection in older patients. A retrospective observational study was conducted involving data from 843 older patients scheduled for liver resection at a single tertiary high caseload general hospital between 2012 and 2019. The data were randomly divided into training (70%, n = 599) and validation (30%, n = 244) datasets. The training cohort was used to construct a predictive nomogram for postoperative AKI with the logistic regression model which was confirmed by a validation cohort. The model was evaluated by receiver operating characteristic (ROC) curve, calibration plot, and decision curve analysis in the validation cohort. A summary risk score was also constructed for identifying postoperative AKI patients. Postoperative AKI occurred in 155 (18.4%) patients and was highly associated with in-hospital mortality (5.2% vs. 0.7%, P 
ISSN:1471-2253
1471-2253
DOI:10.1186/s12871-022-01566-z