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Making Sense of Longitudinal D ata

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Making Sense of Longitudinal D ata. Changes in ventricular function in babies with a functional single ventricle. Travis Wilder, M.D. CHSS Data Center Kirklin-Ashburn Fellow WSPCHS 2014 – Brazil. No Disclosures. - PowerPoint PPT Presentation
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Making Sense of Making Sense of Longitudinal Data Longitudinal Data Changes in ventricular function in babies with a functional single ventricle Travis Wilder, M.D. CHSS Data Center Kirklin-Ashburn Fellow WSPCHS 2014 – Brazil
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Page 1: Making Sense of Longitudinal  D ata

Making Sense of Longitudinal Making Sense of Longitudinal Data Data

Changes in ventricular function in babies with a functional single

ventricle

Travis Wilder, M.D. CHSS Data Center Kirklin-Ashburn Fellow

WSPCHS 2014 – Brazil

Page 2: Making Sense of Longitudinal  D ata

No Disclosures No Disclosures

Wilder TJ, McCrindle BW, Hickey EJ, DeCampli WM, Williams WG, Caldarone CA, Blackstone EH

Page 3: Making Sense of Longitudinal  D ata

Rajeswaran and Blackstone

Page 4: Making Sense of Longitudinal  D ata

4

8

12

16

20

0 2 4 6 8 10 12

AF

Pre

vale

nce

(%

)

Months

CABG

No

Yes

Atrial FibrillationAtrial Fibrillation

Rajeswaran and Blackstone

Page 5: Making Sense of Longitudinal  D ata

ObjectivesObjectives

Describe longitudinal data and a new method for analysis

Illustrate how a new method maximizes the information we can generate from longitudinal data– Clinical example of critical LVOTO

Page 6: Making Sense of Longitudinal  D ata

Joint work of the Cleveland Clinic Clinical Investigations team under the direction of Drs. Eugene Blackstone, Rajeswaran Jeevanantham (HVI/QHS: biostatistics)

Page 7: Making Sense of Longitudinal  D ata

Longitudinal DataLongitudinal Data

Rajeswaran and Blackstone Years after birth

Ventricular dysfunction

Page 8: Making Sense of Longitudinal  D ata

Transfusion after SurgeryTransfusion after Surgery

Rajeswaran and Blackstone

Page 9: Making Sense of Longitudinal  D ata

Pain ScorePain Score

Rajeswaran and Blackstone

Page 10: Making Sense of Longitudinal  D ata

RV Function: 3882 echoes from 427 children with single RV

% O

f ec

ho

es in

eac

h s

tate

RV Dysfunction None Mild Moderate Severe

Years after birth

Mean age of SCPC = 7 mo.

Page 11: Making Sense of Longitudinal  D ata

Analytic StrategyAnalytic Strategy

Page 12: Making Sense of Longitudinal  D ata

% R

V D

ysfu

nct

ion

Years after birth

Data Exploration:Patten-Specific Profile

RV Dysfunction None/Mild Moderate/ Severe

Page 13: Making Sense of Longitudinal  D ata

Data Analysis: Temporal Trends

Early Phase

Years after birth

% P

rob

abili

ty

Late Phase Raw Data

Page 14: Making Sense of Longitudinal  D ata

Data Analysis: Temporal Trends

Years after birth

Late Phase

Early Phase

% P

rob

abili

ty

Page 15: Making Sense of Longitudinal  D ata

Data Analysis:Risk Stratification

Probability of RV dysfunction: Norwood

Probability of RV dysfunction: Hybrid

Years after birth

% P

rob

abili

ty

Page 16: Making Sense of Longitudinal  D ata

Areas of InterestAreas of Interest

What is the rate of ventricular failure, and what factors influence that rate at various phases?

Comparing children with Right vs. Left single ventricle physiology: LVOTO vs. TA–What are the differences in VF?–What are the differences AVVR?

Page 17: Making Sense of Longitudinal  D ata

Thank YouThank You


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