Serum markers detect the presence of liver fibrosis: A cohort study

Slides:



Advertisements
Similar presentations
Chapter 2 Exploring Data with Graphs and Numerical Summaries
Advertisements

Section Copyright © 2014, 2012, 2010 Pearson Education, Inc. Lecture Slides Elementary Statistics Twelfth Edition and the Triola Statistics Series.
Cumulative frequency Cumulative frequency graph
From: Perioperative Use of Dobutamine in Cardiac Surgery and Adverse Cardiac Outcome:Propensity-adjusted Analyses Anesthes. 2008;108(6): doi: /ALN.0b013e f.
Volume 138, Issue 1, Pages e1 (January 2010)
Volume 41, Issue 6, Pages (December 2004)
Lecture Slides Elementary Statistics Twelfth Edition
From: Coronary Artery Plaque Burden and Perioperative Cardiac Risk
Volume 153, Issue 3, Pages e1 (September 2017)
Randomized controlled trial of biofeedback for fecal incontinence
Morten Andersen, Morten Grauslund, Jesper Ravn, Jens B
Jocelyn M. Wessels, Ph. D. , Vanessa R. Kay, B. Sc. , Nicholas A
Volume 128, Issue 2, Pages (February 2005)
Volume 154, Issue 4, Pages e6 (March 2018)
Volume 131, Issue 2, Pages (August 2006)
Volume 140, Issue 5, Pages (May 2011)
Volume 153, Issue 3, Pages e1 (September 2017)
Covering the Cover Gastroenterology
Supersonic Shear Imaging and Transient Elastography With the XL Probe Accurately Detect Fibrosis in Overweight or Obese Patients With Chronic Liver Disease 
Amnon Sonnenberg, Richard H. Lash, Robert M. Genta  Gastroenterology 
Arjun Pennathur, MD, Liqiang Xi, MD, Virginia R. Litle, MD, William E
Volume 129, Issue 6, Pages (December 2005)
Volume 133, Issue 3, Pages (September 2007)
Covering the Cover Gastroenterology
Volume 154, Issue 5, Pages (April 2018)
Volume 134, Issue 7, Pages (June 2008)
Randomized controlled trial of biofeedback for fecal incontinence
Kyung W. Noh, Surakit Pungpapong, Michael B. Wallace, Timothy A
A Predictive Model for Fatigue and Its Etiologic Associations in Primary Biliary Cirrhosis  Julia L. Newton, Jessie Pairman, Kathryn Sutcliffe, Katharine.
Volume 53, Issue 5, Pages (November 2010)
Volume 137, Issue 3, Pages (September 2009)
Sunday Physiotherapy Reduces Inpatient Stay in Knee Arthroplasty: A Retrospective Cohort Study  Yong-Hao Pua, PhD, Peck-Hoon Ong, BAppSc(Phty), Hwei-Chi.
Volume 134, Issue 4, Pages e8 (April 2008)
Triplex High-Resolution Melting Assay for the Simultaneous Assessment of IFNL3 rs , ABCB11 rs , and RNF7 rs Genotypes in Chronic.
Volume 54, Issue 2, Pages (August 1998)
Standard versus bicaval techniques for orthotopic heart transplantation: An analysis of the United Network for Organ Sharing database  Ryan R. Davies,
Volume 134, Issue 5, Pages (May 2008)
Cytokeratin 18 Fragment Levels as a Noninvasive Biomarker for Nonalcoholic Steatohepatitis in Bariatric Surgery Patients  Dima L. Diab, Lisa Yerian, Philip.
Michael Charlton  Clinical Gastroenterology and Hepatology 
Anil Vachani, MD, Harvey I. Pass, MD, William N. Rom, MD, David E
Randomized Placebo-Controlled Trial of Ursodeoxycholic Acid With Vitamin E in Nonalcoholic Steatohepatitis  Jean–François Dufour, Carl M. Oneta, Jean–Jacques.
Reduction of Sample Heterogeneity through Use of Population Substructure: An Example from a Population of African American Families with Sarcoidosis 
Volume 84, Issue 6, Pages (December 2013)
Volume 138, Issue 1, Pages e1 (January 2010)
The progression of chronic kidney disease: A 10-year population-based study of the effects of gender and age  B.O. Eriksen, O.C. Ingebretsen  Kidney International 
Volume 143, Issue 2, Pages (August 2012)
Volume 135, Issue 1, Pages (July 2008)
Volume 147, Issue 6, Pages e5 (December 2014)
Volume 136, Issue 1, Pages (January 2009)
Expression Quantitative Trait Loci Analysis Identifies Associations Between Genotype and Gene Expression in Human Intestine  Boyko Kabakchiev, Mark S.
Volume 128, Issue 1, Pages (January 2005)
Bradley A. Ford, Daniel W. Coyne, Charles S. Eby, Mitchell G. Scott 
Biomarkers for the prediction of liver fibrosis in patients with chronic alcoholic liver disease  Sylvie Naveau, Bruno Raynard, Vlad Ratziu, Annie Abella,
Correlation of FIBROSpect II With Histologic and Morphometric Evaluation of Liver Fibrosis in Chronic Hepatitis C  Keyur Patel, David R. Nelson, Don C.
A Combination of the Pediatric NAFLD Fibrosis Index and Enhanced Liver Fibrosis Test Identifies Children With Fibrosis  Naim Alkhouri, Christine Carter–Kent,
Georgios I. Papachristou, David A
This month in Gastroenterology
FIGURE 1 Flow chart showing the number of individuals at each stage of the experiment. Among the 61 dyads who ... FIGURE 1 Flow chart showing the number.
Volume 128, Issue 7, Pages (June 2005)
Volume 85, Issue 5, Pages (May 2014)
Volume 140, Issue 1, Pages (January 2011)
Volume 144, Issue 3, Pages (March 2013)
Volume 142, Issue 6, Pages e4 (May 2012)
Volume 131, Issue 2, Pages (August 2006)
Volume 76, Issue 12, Pages (December 2009)
Raymond D’Souza, Michael J
Volume 78, Issue 4, Pages (May 2013)
The potential clinical utility of serum α-protryptase levels
Patient Effort in Traumatic Brain Injury Inpatient Rehabilitation: Course and Associations With Age, Brain Injury Severity, and Time Postinjury  Ronald.
LSM = liver stiffness measure, CAP = controlled attenuation parameter.
Presentation transcript:

Serum markers detect the presence of liver fibrosis: A cohort study William M.C. Rosenberg, Michael Voelker, Robert Thiel, Michael Becka, Alastair Burt, Detlef Schuppan, Stefan Hubscher, Tania Roskams, Massimo Pinzani, Michael J.P. Arthur  Gastroenterology  Volume 127, Issue 6, Pages 1704-1713 (December 2004) DOI: 10.1053/j.gastro.2004.08.052 Copyright © 2004 American Gastroenterological Association Terms and Conditions

Figure 1 Flow chart depicting the recruitment and participation of subjects in the European Liver Fibrosis study. Subjects were recruited consecutively at all centers. All biopsy specimens that met inclusion criteria were staged by central pathologist A. Pathologists B and C each staged a subset of 620 biopsy specimens selected at random from the group staged by pathologist A, generating 4 sets of scores: RA1, RA2, RB, and RC. The whole cohort (GA) was divided into the test (GT) and validation (GV) sets for derivation of the algorithm and subsequent validation. Gastroenterology 2004 127, 1704-1713DOI: (10.1053/j.gastro.2004.08.052) Copyright © 2004 American Gastroenterological Association Terms and Conditions

Figure 2 (A) Box-and-whisker plot for GV; Scheuer fibrosis score versus algorithm discriminant score. The middle horizontal line in each box is the median, and the notched region denotes the estimated 95% CI on the median. The end lines are the 25th and 75th percentiles. The dashed lines indicate the acceptable range for data. Crosses and circles indicate potential outliers. The range of algorithm scores was from −3.5 to +6.0. The principal discriminant function for each staging system was as follows: Scheuer D = −.014·LN(age) + .616·LN(HA) + .586·LN(PIIINP) + .472·LN(TIMP-1) − 6.38; Ishak D = −.08·LN(age) + .608·LN(HA) + .601·LN(PIIINP) + .511·LN(TIMP-1) − 6.26. (B–E) Box-and-whisker plot for GV; Scheuer fibrosis score versus natural logarithm of individual component marker scores of the algorithm. The middle horizontal line in each box is the median, and the notched region denotes the estimated 95% CI on the median. The end lines are the 25th and 75th percentiles. The dashed lines indicate the acceptable range for data. Crosses indicate potential outliers. B shows data for age, C for TIMP-1, D for PIIINP, and E for HA. Gastroenterology 2004 127, 1704-1713DOI: (10.1053/j.gastro.2004.08.052) Copyright © 2004 American Gastroenterological Association Terms and Conditions

Figure 3 Cumulative percent distributions of the principal discriminant function scores by Scheuer stage. For example, for a Scheuer stage of 0, approximately 65% of all patients in this group had a discriminant score of −.5 or less. The Euclidian distance between score groups was calculated for the separation of scores that corresponded to each stage. This analysis showed the natural bifurcations reflected in the graphs plotted above. To calculate the distances between score groups, the group centroid is defined as the value of the discriminant function when the means of all variables are used in the equation. So, in Scheuer stage 0, the group centroid would be D0 = .014·LN(mean[age]) + .616·LN(mean[HA]) + .586·LN(mean[PIIINP]) + .472·LN(mean[TIMP-1]) − 6.38. The Euclidian distance between 2 groups is defined as Delta(i, j) = Di2+Dj2. Gastroenterology 2004 127, 1704-1713DOI: (10.1053/j.gastro.2004.08.052) Copyright © 2004 American Gastroenterological Association Terms and Conditions

Figure 4 Box-and-whisker plot for GV showing Scheuer fibrosis score versus discriminant score. The middle horizontal line is the median, and the notched region denotes the estimated 95% CI on the median. The end lines are the 25th and 75th percentiles. The dashed lines indicate the acceptable range for data. Crosses indicate potential outliers. The data plotted show the distribution of discriminant scores for biopsy specimens of Scheuer stage 0–2 and 3–4. Gastroenterology 2004 127, 1704-1713DOI: (10.1053/j.gastro.2004.08.052) Copyright © 2004 American Gastroenterological Association Terms and Conditions

Figure 5 ROC curve for GV. The ROC curve is shown for the performance of the algorithm combining serum markers for discriminating between Scheuer fibrosis stages 0–2 and 3–4 in the GV sample set assessed by pathologist A. Gastroenterology 2004 127, 1704-1713DOI: (10.1053/j.gastro.2004.08.052) Copyright © 2004 American Gastroenterological Association Terms and Conditions