radar and cmr in the ed - mcep.org€¦ · uriel n et al. j am heart assoc. 2018;7(22):e009175. 7....
TRANSCRIPT
RADAR AND CMR IN THE ED
W. Frank Peacock, MD, FACEP, FACC, FESC
Professor, Emergency Medicine
Vice Chair for Research
Baylor College of Medicine
DISCLOSURES
• I wish
SHORTNESS OF BREATH IN THE ED
-Estimated 141.7 million annual ED presentations
-2.4% (3.4 million) present for acute shortness of breath.
-If stratified by diagnosis:
-Diseases of the respiratory system = 14.7 million
-Congestive HF = 1.4 million
Getting the
dx right
would be nice…
THE PIE OF DYSPNEA
Heart Failure?????
MeaslesLupus
H1N1
Salmonella
Pneumonia
URI
Mondor’s
SyndromeTietze’s
Disease
Herpes
Zoster
Coxsackie
Breast
Cancer
Breast Abcess
Contact
Dermatitis
ITP
Hemolytic
Uremic Syndrome
Reiter’s
Syndrome
Mediastinitis
Lung
Cancer
West Nile SARS
DVT
Potts
Disease
Subdiaphragm
Abcess
Empyema
TTP
Pulmonary embolus
PID
Influenza
It would be REALLY convenient if patients had the diagnosis tattooed on their forehead
Erectile
Dysfunction
COPD
PREHOSPITAL EFFECTS
• 8,315 EMS runs
• 499 HF
• Overall Mortality = 10.9%
• Excluded BP < 100
• Tx= ntg, ms, lasix
• Linear rln btwn high BP & Tx
• Treated n=241
• Untx’d n=252
• If EMS Tx: 36 min sooner
• Scene time: 1.9 mins longer
Wuerz R et al. Ann Emerg Med. 1992;21:669-74.
If treated,
OR of survival 2.51 (1.37-4.55) p<0.01
Early treatment works
• 106 non-HF final dx…..BUT tx’d for HF by EMS
• Asthma, COPD, pneumonia, bronchitis
• Represented 15% of dyspneic patients
Non-HF treated for HF 13.6%
No treatment 8.2%
Treated with bronchodilators 3.8%
Prehospital Effects
Wuerz R et al. Ann Emerg Med.1992;21:669-74.
Mortality (p<0.05)
10
Which one of
these people
gets to die??
PHYSIOLOGICAL MARKERS OF DECOMPENSATION
Adapted from Adamson PB. Curr Heart Fail Rep. 2009;6(4):287-292
BACKGROUND
ReDS (Remote Dielectric Sensing):
- non-invasive, transcutaneous measurement of
lung fluid
• Reads in 90 seconds
• Physiologic lung fluid range:
20 to 35%.
• Point-of-Care Lung Fluid Management
• Non-invasive
• Over the clothes
• Portable
• Easy and Efficient
• Absolute reading in 45 seconds
• Normal ReDS reading is between 20-35%
REDS VS. CT – ACCURACY DATA
CCT – Chest Computed Tomography1 Amir O et al. Int J Cardiol. 2016;221:841-8462 Data on file
ReDS vs. CT Comparison
2
2
ReDS has a high
correlation to CCT for
lung fluid content
Interclass Correlation
Coefficient (ICC) 0.90
[0.8-0.95]1
CT Fluid quantification with
commercially available syngo.CT
Pulmo3D™ tool (Siemens)1
RELATIONSHIP WITH WEDGE PRESSURE STUDY
ROC – Receiver Operating Characteristics;; AUC – area under the curve; PAWP – Pulmonary Arterial Wedge PressureUriel N et al . J Am Heart Assoc. 2018;7(22):e009175
ROC Curve
94.9% of the time a ReDS reading of < 34% suggests that a PAWP
is below 18 mm Hg
Endpoint
Cutoff
Negative Predictive Value
PAWP ≥18
ReDS >34
94.9%
N = 139
Weight
Monitoring
Electrical
Bioimpedance
Implantable
Sensors (e.g.
CardioMEMSTM)
Swan-Ganz
CatheterCT-Scan
Accurate &
Useful Output X1,2 X3,4 ✔ ✔ ✔✔
0.9 correlation with CT5
95% NPV with PAWP6
87% HF re-admission reduction7
Easy-to-Use &
Non-invasive ✔ ✔ X X X✔
Portable, Non-invasive, Over-the-
clothes
Appropriate for
In-Hospital Lung
Fluid Monitoring✔ ✔ X
✔CCL X
✔ED, HF Floor, Predischarge, Clinic,
SNFs etc.
COMPARISON TO OTHER METHODS OF LUNG FLUID MONITORING
CT – computed tomography; NPV – negative predictive value; PAWP – pulmonary arterial wedge pressure; HF – heart failure; ED – emergency department; SNF – skilled nursing facilities; CCL – Cardiac Catheterization Lab;
1 Chaudhry SI et al. N Engl J Med. 2010;363:2301-23092 Koehler F et al. Circulation 2011;123(17):1873-803 van Veldhuisen DJ et al. Circulation. 2011;124(16):1719-264 Brachmann J et al. Eur J Heart Fail. 2011;13(7):796-8045 Amir O et al. Int J Cardiol. 2016;221: 841–8466 Uriel N et al. J Am Heart Assoc. 2018;7(22):e0091757 Amir O et al. Int J Cardiol. 2017;240:279-284
RADAR
BACKGROUND
AIM
• Evaluate the accuracy of ReDS to detect
lung fluid in ED patients with
undifferentiated shortness of breath.
INCLUSION CRITERIA
• - Chief complaint of ”shortness of breath”
• - ≥ 21 years of age & provided informed
consent
• - Non-pregnant
METHODSDemographics, vital signs, and medical history were collected from medical records.
The ReDS vest was applied and data was recorded.
Volume status was then adjudicated by 2 EM physicians post-discharge
RESULTS
11
64 2 2 2 2 2 1
13
Differential Diagnosis: Prevalence
Physiological
ReDS Cutoff:
35%
Sn = 0.85
Sp = 0.78
NPV = 0.91
PPV = 0.68
N=45
Impact of BNP Assay on Accuracy
Maisel AS, NEJM, 347(3), 161-7, 2002.
26 %
wrong18.5%
wrong
RESULTSOptimal ReDS
Cutoff: 37%
Sn = 0.89
Sp = 0.83
NPV = 0.93
PPV = 0.74
AUC = 0.920
0.2
0.4
0.6
0.8
1
0 0.2 0.4 0.6 0.8 1
Sensi
tivi
ty
1-Specificity
ROC for lung fluid evaluation of ReDS
Device vs. Expert Diagnosis
TPF Lower CI Upper CI
CONCLUSION
Adjudicated diagnosis: of 35% of patients with
volume overload, ReDS detected 85%
At a cut point of 37%, the ReDS device has
excellent sensitivity (0.85) and negative predictive
value (0.91) in detecting pathological lung fluid.
Assessing readiness for dischargeafter AHF hospitalization
• Prospective RCT
• ReDs guided vs SoC
• At d/c, randomized to ReDs or not
– If ReDs = wet, received HF specialty consultation
Bensimhon D. Heart Lung 2020 (1-6)
Assessing readiness for dischargeafter AHF hospitalization
Bensimhon D. Heart Lung 2020 (1-6)
• N=108 HF patients• 50% male• Age 73.6 ± 12.6 years• BMI 29.3 ± 4.3 kg/m2• EF 38.5 ± 15.1%• BNP = 1138 ± 987 pg/mL)
• 32% had residual lung congestion at the time of proposed hospital discharge.
Assessing readiness for dischargeafter AHF hospitalization
• ReDS guided therapy
– Tx arm: additional diuresis in 30% (18/60)
– Mean weight loss = 5.6 pounds (p = 0.02)
– 30-day HF readmit rates: • similar in Tx and SoC (0.2% vs 4.2%; p = 0.44)
– If d/c’d “as planned” with residual lung congestion (ReDS >39%)• Higher 30-day readmit rates vs. adequately decongested pts (ReDS <39%)
• 11.8% vs. 0.2%, p = 0.03
Bensimhon D. Heart Lung 2020 (1-6)
for CAD
for obstructive CADGold standard =invasive angiography
Outcomes: Primary: CV death or nonfatal MISecondary: CV death, nonfatal MI, USA
hospitalization, CHF, unplanned CABG
SENC-MRIStrain–encoded magnetic resonance imaging
• Imaging strain of deforming tissue.
• An improvement on MR elastography
– faster imaging time
– less post-processing time
• Single beat acquisition
Summary
• Radar
– Improved volume assessment for diagnosis
– May be useful for guided treatment
• CMR: SENC-MRI
– High sensitivity and speed may be ED solution for suspected ACS