Asset Details
MbrlCatalogueTitleDetail
Do you wish to reserve the book?
Validation of a hierarchical algorithm to define chronic liver disease and cirrhosis etiology in administrative healthcare data
by
Djerboua, Maya
, Carlone, David
, Flemming, Jennifer A.
, Philip, George
in
Alcohol
/ Algorithms
/ Ambulatory care
/ Autoimmune diseases
/ Biology and life sciences
/ Carcinoma, Hepatocellular - diagnosis
/ Carcinoma, Hepatocellular - etiology
/ Cirrhosis
/ Clinical Coding
/ Clinical medicine
/ Codes
/ Cohort Studies
/ Databases, Factual
/ Death
/ Development and progression
/ Diagnostic systems
/ Diseases
/ Electronic Health Records - statistics & numerical data
/ Emergency medical care
/ Epidemiology
/ Etiology
/ Etiology (Medicine)
/ Fatty liver
/ Female
/ Health care
/ Health care policy
/ Health sciences
/ Health services
/ Hemochromatosis
/ Hepatitis
/ Hepatitis - diagnosis
/ Hepatitis - etiology
/ Hepatitis B
/ Hepatitis C
/ Hepatitis C virus
/ Hepatology
/ Humans
/ Information systems
/ Laboratories
/ Liver
/ Liver cirrhosis
/ Liver Cirrhosis - diagnosis
/ Liver Cirrhosis - etiology
/ Liver diseases
/ Liver Neoplasms - diagnosis
/ Liver Neoplasms - etiology
/ Lung diseases
/ Male
/ Medical care quality
/ Medical research
/ Medicine
/ Medicine and Health Sciences
/ Middle Aged
/ Non-alcoholic Fatty Liver Disease - diagnosis
/ Non-alcoholic Fatty Liver Disease - etiology
/ Patients
/ Privacy
/ Prognosis
/ Public health
/ Sensitivity analysis
2020
Hey, we have placed the reservation for you!
By the way, why not check out events that you can attend while you pick your title.
You are currently in the queue to collect this book. You will be notified once it is your turn to collect the book.
Oops! Something went wrong.
Looks like we were not able to place the reservation. Kindly try again later.
Are you sure you want to remove the book from the shelf?
Validation of a hierarchical algorithm to define chronic liver disease and cirrhosis etiology in administrative healthcare data
by
Djerboua, Maya
, Carlone, David
, Flemming, Jennifer A.
, Philip, George
in
Alcohol
/ Algorithms
/ Ambulatory care
/ Autoimmune diseases
/ Biology and life sciences
/ Carcinoma, Hepatocellular - diagnosis
/ Carcinoma, Hepatocellular - etiology
/ Cirrhosis
/ Clinical Coding
/ Clinical medicine
/ Codes
/ Cohort Studies
/ Databases, Factual
/ Death
/ Development and progression
/ Diagnostic systems
/ Diseases
/ Electronic Health Records - statistics & numerical data
/ Emergency medical care
/ Epidemiology
/ Etiology
/ Etiology (Medicine)
/ Fatty liver
/ Female
/ Health care
/ Health care policy
/ Health sciences
/ Health services
/ Hemochromatosis
/ Hepatitis
/ Hepatitis - diagnosis
/ Hepatitis - etiology
/ Hepatitis B
/ Hepatitis C
/ Hepatitis C virus
/ Hepatology
/ Humans
/ Information systems
/ Laboratories
/ Liver
/ Liver cirrhosis
/ Liver Cirrhosis - diagnosis
/ Liver Cirrhosis - etiology
/ Liver diseases
/ Liver Neoplasms - diagnosis
/ Liver Neoplasms - etiology
/ Lung diseases
/ Male
/ Medical care quality
/ Medical research
/ Medicine
/ Medicine and Health Sciences
/ Middle Aged
/ Non-alcoholic Fatty Liver Disease - diagnosis
/ Non-alcoholic Fatty Liver Disease - etiology
/ Patients
/ Privacy
/ Prognosis
/ Public health
/ Sensitivity analysis
2020
Oops! Something went wrong.
While trying to remove the title from your shelf something went wrong :( Kindly try again later!
Do you wish to request the book?
Validation of a hierarchical algorithm to define chronic liver disease and cirrhosis etiology in administrative healthcare data
by
Djerboua, Maya
, Carlone, David
, Flemming, Jennifer A.
, Philip, George
in
Alcohol
/ Algorithms
/ Ambulatory care
/ Autoimmune diseases
/ Biology and life sciences
/ Carcinoma, Hepatocellular - diagnosis
/ Carcinoma, Hepatocellular - etiology
/ Cirrhosis
/ Clinical Coding
/ Clinical medicine
/ Codes
/ Cohort Studies
/ Databases, Factual
/ Death
/ Development and progression
/ Diagnostic systems
/ Diseases
/ Electronic Health Records - statistics & numerical data
/ Emergency medical care
/ Epidemiology
/ Etiology
/ Etiology (Medicine)
/ Fatty liver
/ Female
/ Health care
/ Health care policy
/ Health sciences
/ Health services
/ Hemochromatosis
/ Hepatitis
/ Hepatitis - diagnosis
/ Hepatitis - etiology
/ Hepatitis B
/ Hepatitis C
/ Hepatitis C virus
/ Hepatology
/ Humans
/ Information systems
/ Laboratories
/ Liver
/ Liver cirrhosis
/ Liver Cirrhosis - diagnosis
/ Liver Cirrhosis - etiology
/ Liver diseases
/ Liver Neoplasms - diagnosis
/ Liver Neoplasms - etiology
/ Lung diseases
/ Male
/ Medical care quality
/ Medical research
/ Medicine
/ Medicine and Health Sciences
/ Middle Aged
/ Non-alcoholic Fatty Liver Disease - diagnosis
/ Non-alcoholic Fatty Liver Disease - etiology
/ Patients
/ Privacy
/ Prognosis
/ Public health
/ Sensitivity analysis
2020
Please be aware that the book you have requested cannot be checked out. If you would like to checkout this book, you can reserve another copy
We have requested the book for you!
Your request is successful and it will be processed during the Library working hours. Please check the status of your request in My Requests.
Oops! Something went wrong.
Looks like we were not able to place your request. Kindly try again later.
Validation of a hierarchical algorithm to define chronic liver disease and cirrhosis etiology in administrative healthcare data
Journal Article
Validation of a hierarchical algorithm to define chronic liver disease and cirrhosis etiology in administrative healthcare data
2020
Request Book From Autostore
and Choose the Collection Method
Overview
Chronic liver disease (CLD) and cirrhosis are leading causes of death globally with the burden of disease rising significantly over the past several decades. Defining the etiology of liver disease is important for understanding liver disease epidemiology, healthcare planning, and outcomes. The aim of this study was to validate a hierarchical algorithm for CLD and cirrhosis etiology in administrative healthcare data.
Consecutive patients with CLD or cirrhosis attending an outpatient hepatology clinic in Ontario, Canada from 05/01/2013-08/31/2013 underwent detailed chart abstraction. Gold standard liver disease etiology was determined by an attending hepatologist as hepatitis C (HCV), hepatitis B (HBV), alcohol-related, non-alcoholic fatty liver disease (NAFLD)/cryptogenic, autoimmune or hemochromatosis. Individual data was linked to routinely collected administrative healthcare data at ICES. Diagnostic accuracy of a hierarchical algorithm incorporating both laboratory and administrative codes to define etiology was evaluated by calculating sensitivity, specificity, positive (PPV) and negative predictive values (NPV), and kappa's agreement.
442 individuals underwent chart abstraction (median age 53 years, 53% cirrhosis, 45% HCV, 26% NAFLD, 10% alcohol-related). In patients with cirrhosis, the algorithm had adequate sensitivity/PPV (>75%) and excellent specificity/NPV (>90%) for all etiologies. In those without cirrhosis, the algorithm was excellent for all etiologies except for hemochromatosis and autoimmune diseases.
A hierarchical algorithm incorporating laboratory and administrative coding can accurately define cirrhosis etiology in routinely collected healthcare data. These results should facilitate health services research in this growing patient population.
Publisher
Public Library of Science,Public Library of Science (PLoS)
Subject
/ Carcinoma, Hepatocellular - diagnosis
/ Carcinoma, Hepatocellular - etiology
/ Codes
/ Death
/ Diseases
/ Electronic Health Records - statistics & numerical data
/ Etiology
/ Female
/ Humans
/ Liver
/ Male
/ Medicine
/ Medicine and Health Sciences
/ Non-alcoholic Fatty Liver Disease - diagnosis
/ Non-alcoholic Fatty Liver Disease - etiology
/ Patients
/ Privacy
This website uses cookies to ensure you get the best experience on our website.