a deep dive: using device diagnostics to assist with ... · a deep dive: using device diagnostics...
TRANSCRIPT
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A Deep Dive:
Using Device Diagnostics to Assist with Patient Management
Karen Donatello, RN, RCIS, CCDS
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Financial Relationships
Device Check Specialist
Karen Donatello, RN, RCIS, CCDS
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Objectives
Demonstrate a basic understanding of the diagnostic tools available in implantable devices
Describe how device diagnostics are used for managing patients.
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Benefits of Technology Remote Monitoring
Improves workflow
Decreases patient wait times
Provides diagnostic information to clinician in less than half the time of traditional workflow methods.
From an average of 80 minutes to 15 minutes.
Improves quality of care
Rapid access to diagnostic data
More tools to better manage the patient
Arrhythmia status
CHF status
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What do you Need to Know? Know your patient
What kind of device do they have?
ID card
Where is the device located?
Pocket site assessment
What are their symptoms?
What are their medications?
Compliance
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Identify the Device ID Card
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Pocket Site Right or left subclavian
Abdominal
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Pocket Site Complications Hematoma
Infection
Erosion
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Twiddlers Syndrome
Patient manipulation/twisting of the leads
Pocket Site Complications
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Symptoms Syncope / Near Syncope
Palpitations
Chest Discomfort
Dyspnea / Dyspnea with exertion
Did they receive a shock?
Medications What are their medications?
Are they compliant?
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What does the device report tell you?
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1. Device Model / Serial numbers
2. Implant Date
3. Lead data
4. Battery status
5. Programming overview
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Data tracked over time
Reflects what is “normal”
Tracks changes
Rapid assessment
Lead Trends
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Routine device check
All testing normal
Trends shows
Rise in V threshold February – April
Patient reports extended hospitalization
CABG
Lead Trends
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Rise in lead impedance
Potential Lead fracture
Physiologic issue at the lead tissue interface
Trends
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Rise in lead impedance & Capture thresholds
Potential Lead fracture
Physiologic issue at the lead tissue interface
Trends
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Rise in lead impedance
Lead Fracture
Trends
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1. Arrhythmia episodes
2. Event counters
3. Rate histograms
4. % pacing
Patient Diagnostics
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Patient Diagnostics
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Patient Diagnostics Ventricular Rate during atrial arrhytmias
Rate control evaluation
Episode breakdown by duration
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Patient Diagnostics Electrograms
SEGM = Summed; AEGM = Atrial; VEGM = Ventricular
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The Power of Trending Data
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Trends Cardiac Compass Report
14 months of trending
Atrial Arrhythmias
AT/AF burden
Ventricular rates in AT/AF
Ventricular Arrhythmias
Heart failure trends % pacing
Day / Night heart rates
Patient activity
HR variability
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Case Study – Atrial Arrhythmias
History of paroxysmal AF
On rate control medications
3 months prior, presented with persistent AF
started on Amiodarone
Returns for follow-up
“I don’t feel any better”
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What do the Trends Tell Us? Today’s
visit 3 mo. ago
Note the previous events requiring rate control
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Case Study – Ventricular Arrhythmias
Implanted ICD for recurrent VT
Hospitalized after Several days of VT/VF episodes & shocks Antiarrhythmics
Slow-K+
Lower rate to 90 bpm
Predischarge Lower rate to 80 bpm
Patient almost 100% A-paced, has good intrinsic conduction, minimal V-pacing
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What do the Trends Tell Us? Hospitalized
Today
Note activity drop correlates with hospitalization
Heart rate reprogramming VT & NSVT episodes
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Diagnostic Electrograms EGM Source
Marker channels
Onset Detection
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Diagnostic Electrograms
Therapy Delivered
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Heart Failure Trends % Pacing/day
Day/Night heart rates
Patient activity
Heart rate variability
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Heart Failure Diagnostics
Percent pacing per day
Cardiac resynchronization goal = Ventricular pacing as close to 100% as possible
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Heart Failure Trends Patient Activity Built in sensor determines patient activity The value is in the trend over time
Every patient is different Look for sudden or gradual changes in patient’s baseline
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Heart Failure Trends Day & Night Heart Rates
Increasing severity in Heart Failure results in
Day & Night Resting Heart Rates
Difference between Day & Night Heart Rates
Heart Rate in HF Patients
0
10
20
30
40
50
60
70
80
90
100
Control I II III IV
NYHA Class
He
art
Ra
te (
bp
m)
Day
Night
Difference
* Casolo GC, et. al. European Heart Journal 1995;16(3):360-7.
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Heart Failure Diagnostics Heart Rate Variability
Median atrial interval measured & logged every 5 minutes
As Heart Failure progresses
Heart rate variability decreases
Resting heart rate tends to increase*
*Determining the Risk of Heart Failure Decompensation: Use of CRT Device Diagnostics:
Smith, Leon, Abraham, Kleckner, Rhodes. Eur J.Heart Failure 2003 (suppl)147 Abstract 707.
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Case Study: Heart Failure 59 y/o female with HTN, probably the cause of her heart
failure
Stable diuretics and ACE inhibitor
Receives CRTD device
1 month post implant improved status from NYHA class IV to II due to bi-ventricular pacing
Started on and tolerates beta blockers
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Case Study: Heart Failure Near 100% paced
Room for improvement
Day/Night rates improving
Activity improved since implant
HR variability improved since implant
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Case Study: Heart Failure 6 months post-implant
Hospitalized for upper respiratory infection
X-ray shows mild pulmonary congestion
Trend Reversal
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Fluid Status Monitoring
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Fluid Status Monitoring Impedance: Resistance to flow of electrical current
measured in ohms.
Fluid 70 W∙cm
Blood 160 W∙cm
Myocardium 450 W∙cm
Lung 2,200 W∙cm
Bone 4,800 W∙cm
Fat 2,500 W∙cm
Tissue Resistivity
1 Geddes LA, et al. Am J Med Electron. 1964;3:16-27.
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Fluid Status Monitoring Intrathoracic impedance measurements rise and fall with
fluid status changes in the body.
Impedance is measured from device can to the RV
Coil every 20 min from noon until 5 pm
Decreased fluid Increased fluid
Wang L et al. J Cardiac Failure. 1999;5(suppl.):S55{abstract}., Wang L et al. PACE. 2000;23(4):612{abstract}.
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Multiple daily measurements
Average of multiple days creates an individual reference
Daily measurements are compared to individual reference baseline.
Data is trended over time
Fluid Status Monitoring
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40 80 120 160 200 0
20
60
100
Flu
id I
nd
ex (
W d
ays)
0 40 80 120 160 200
70
80
90
Days
Imp
edan
ce (
W)
3 Yu CM, et al. Circulation. 2005;112:841-848.
Fluid Status Monitoring
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FLUID Change PULMONARY
EDEMA
Pocket Infection
Pericardial Effusion
Pleural Effusion
BLOOD Change Blood Volume Change
Chamber/Vessel Dilation
IV Fluid
Transfusion
Blood Composition Change
Hematocrit
Electrolyte
Dialysis
Yu CM, et al. Circulation. 2005;112:841-848.
Wang L. Fundamentals of intrathoracic impedance monitoring in heart failure. Am J Cardiol. May 21, 2007;99(10A):3G-10G.
Vollmann D, et al. Euro Heart J. 2007;28:1835-1840.
Dialysis Patient Case. Courtesy of David Martin, MD,Cardiology Consultants, Medford, OR. 2006 Medtronic Inc., data on file.
Fluid Status Monitoring What impacts impedance measurements?
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Fluid Status Monitoring What do we do with this data?
OFISSER (JCF in Press)8 PARTNERS (LBCT HFSA)9 IMPEDE (HFSA)10
Identify patients at higher risk for worsening heart
failure Symptomatic and asymptomatic events incurred risk
We can conclude that:
Fluid status monitoring is a useful tool in the management of congestive heart failure.
8. Small R, et al. J Card Fail. In press. 9. Whellan DJ, et al. Late-Breaking Clinical Trials. HFSA 2008. 10. Andriulli J, et al. J Card Fail. 2008;14(6S)Suppl.S70.
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70 year old female
Non-ischemic dilated cardiomyopathy
Sinus node dysfunction
First-degree AV Block
EF = 22% prior to receiving CRTD device
NYHA II after receiving CRTD device
Medications: Amiodarone, Aspirin, Atacand, Coreg, Coumadin, Imdur,
Lanoxin®, Lasix, Spironalactone
Fluid Status Monitoring :Case Study
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Feb 25: HF symptoms: Dyspnea, orthopnea and edema in her ankles. Patient self medicates doubles her Lasix from 80 mg to 160 mg for 2 days.
Feb 27: HF symptoms have resolved but patient’s legs cramp. Patient self medicates doubles her potassium supplement.
Mar 1: All symptoms are resolved. OptiVol fluid index resets.
Apr 1: Regular follow-up visit, no symptoms reported. Fluid Trends investigated & the patient reveals that she had changed her own medication in Feb.
Fluid Status Monitoring :Case Study
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This case illustrates the important role that OptiVol Fluid Trends can play in investigating a patient’s fluid status between office visits.
Without OptiVol Fluid Trends
fluid accumulation and the patient’s self-medication behavior would have gone unnoticed.
Overall the patient responded very well to her CRTD therapy
Note the steady rise in patient activity since implant.
Fluid Status Monitoring :Case Study
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Putting it all Together
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Review the Report
Risk Stratification
Phone Call
Treatment Decision
Follow-Up
Reassess
How do we use all this information?
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Case Study
65 yo male
Ischemic Cardiomyopathy
EF of 27%
CRTD implant
Coronary Artery Disease
Stents
Balloon Angioplasty
Medication List
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Phone Call to Clinic Friday evening
Patient is passing out
Paramedics have been called
Patient sent a remote transmission for review
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Quick Look Report
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Fluid Status Today
Dec - February
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Cardiac Compass Trends Associated events in December
Atrial Fibrillation
High Ventricular rates
Drop in activity
Loss of HR Data
Loss of HR Variab.
Loss of V pacing
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Cardiac Compass Trends Associated events in December
Drop in activity
Day/night HR Elevated
Loss of HR Variab.
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Episode Report
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EGMs
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The end of the story Patient passed out multiple times with resulting shocks
even after the remote transmission
Device report was shared with emergency response team
Patient sent to cardiac catheterization lab for ischemic evaluation
Ultimately received a LVAD
This case study is an example of how remote evaluation facilitates rapid response and continuity of care.
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Final Thoughts We will see an increased use of device diagnostics in
the treatment of heart patients
We will continue to see increased use of remote transmission to retrieve these diagnostics.
Successful diagnostic tools rely on the power of trending Trends give us the the big picture
Changes over time indicate how the patient is responding to treatment.
Goal? Streamline workflow
Improve speed & continuity of care
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Questions?
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References Ching, E. A.. (n.d.). Advances in the arrhythmia clinic: Practical options to improve care and enhance productivity [PowerPoint slides]. Retrieved from https://wwwp.medtronic.com/mdtConnectPortal/presentationtools/108/190/1089828756209. Ellenbogen, K. A., & Wood, M. A. (2008). Cardiac pacing and ICDs (5th ed.). Hoboken, NJ: Blackwell Publishing Ltd.
Medtronic. (2012). CorePace resource, Basic Pacing Concepts [PowerPoint slides]. Retrieved from https://wwwp.medtronic.com/mdtConnectPortal/microsite/1581802196969/1581802196974/1581802197122
Medtronic. (2013). ICD’s resource [PowerPoint slides]. Retrieved from Https://wwwp.medtronic.com/mdtConnectPortal/therapiesprocedures/108