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- Proprietary	-
Treat	Cardiovascular	Patients	per	
their	Specific	Hemodynamic	Profiles
May	2017
China MDL
Canadian MDL
Non-Invasive	Cardiac	Output	measurement:
Nice	to	have	or	need	to	treat?
2
Ø Only	in	36	%	of	the	cases	that	estimated	cardiac	output	was	within	a	range	of	
±20	%	of	the	measured	value
Ø In	around	20%	therapeutic	decisions	on	hemodynamic	management	including	
fluids,	catecholamine	or	diuretics	were	changed	according	to	the	measured	
values	of	the	hemodynamic	monitoring
G.	Mark	et	al:	Advanced	hemodynamic	monitoring	in	the	critically	ill	patient:	Nice	to	have	or	need	to	treat?;	
J	Clin	Moni	Comput,	Jan	2016
Standard	laptop	
Medical	Carts 2-in-1	Tablet
My	Non	Invasive	Cardiac	System	(MyNICaS)
System	Components
JGF Cleland et al; Non invasive measurements of Cardiac Output and Cardiac Power Index by whole body bio impedance in patients with Heart Failure;
European Journal of Heart Failure 2012; 11
3
ICG	Disposable	Sensors
MyNICaS	ModuleICG	Cable
ECG	Cable
∆R: Change	of	elect’	resistance B: Aortic	valve	open					X: Aortic	valve	close	
∆R
ECG
Elec’	resistance	/	Volume	
changes	of	the	arterial	sys.
B
X
Sys.	phase Dia.	phase
Whole	Body	(Regional)	Impedance	Technology
4 - Proprietary	-
Sensors	Placement
♥ Imperceptible	electrical	signal	is	transmitted	through	the	blood	in	the	arterial	system	by	using	two	sensors	
arranged	in	a	wrist-to-ankle	configuration.
♥ With	each	heart	beat,	the	volume	of	blood	in	the	arterial	system	changes	and	this	results	in	a	change	in	the	body	
electrical	resistance.
♥ Cardiac	Output	as	well	as	other	hemodynamic	and	fluids	parameters	are	calculated	by	proprietary	algorithms.
Cardiac	output	measurement
Comparison	of	Whole-body	bio	impedance	w	Pulse	Contour	Analysis
5 - Proprietary	-
∆R
(Volume	)
α β
NICaS	CO	=	HR	x										x														x	Factor	
Factor	=	f	(gender,	body	size,	fluid	content,		
blood	elec’	resistivity)
(α+β)∆R	
R β
Whole body bio-impedance utilized by MyNICaS directly
and continuously measures volume changes of the
arterial system and calculate stroke volume and cardiac
output
Pulse contour analysis measure pressure and estimate
volume under the assumption of constant SVR and aortic
compliance; Calibration with the thermodilution is
required as SVR or aortic compliance may be changed
♥ “Agreement	between	NICaS	CO	and	Thermodilution	CO	is	within	the	boundaries	of	the	FDA	guidelines	of	bio-equivalence.		
NICaS	CO	is	applicable	for	non-invasive	assessment	of	cardiac	function”
O. L. Paredes et al, Impedance Cardiography for Cardiac Output Estimation. Circulation Journal 2006; 70:1164-1168
MyNICaS	Validation
About	800	Correlations	to	Thermodilution	
6 - Proprietary	-
♥ "The	differences	of	the	hemodynamic	responses	to	vasodilation	therapy	may	be	better	depicted	by	the	MyNICaS	when	
compared	with	thermodilution"
G. Cotter et al, Accurate, Noninvasive Continuous Monitoring of Cardiac Output by Whole-Body Electrical Bio-impedance. Chest 2004; 125: 1431-1440
♥ "The	results	of	the	present	study	suggest	that	MyNICaS	might	be	more	accurate	then	thermodilution	for	CO	determination	
due	to	the	tendency	of	thermodilution	to	under	estimate	CO	when	high	and	over	estimate	it	when	low"
Guillermo Torre-Amiot et al, Whole-Body Bioimpedance is accurate in Non Invasive Determination of CO: A TD Prospective, Double Blinded Evaluation. Eur J of
HF, June 2004
r	=	0.90
Bias	=	-0.114
Precision	=	0.982
P	<	0.001
1.0									3.0									5.0									7.0									9.0									11.0									13.0
TD-CO	(l/min)
13.0
11.0
9.0
7.0
5.0
3.0
1.0
NICaS-CO	(l/min)
0.0												 2.0								 4.0								 6.0							 8.0
Average	( TD-CO,	NICaS-CO)
NICaS-CO	–TD-CO
3.0
2.0
1.0
0.0
-1.0
-2.0
-3.0
Whole-Body	Impedance*	Validation	during	Hemodialysis
Stroke	Volume	correlation	to	Echo	Doppler
7
§ No.	of	patients	=	17
§ No.	of	measurements	=	64	(33	during	first	h	and	31	during	last	h	of	HD	treatment	in	2	treatments	at	the	same	week)
§ Overall	Pearson	correlation,	r	=	0.92,	P<0.001
§ First	hour	Pearson	correlation,	r	=	0.93.	P<0.001	;	Last	hour	Pearson	correlation,	r	=	0.92.	P<0.001
§ Mean	(95%	CI)	TFR	[ml]	at	the	time	of	measurements	during	first	and	last	hours	=	1001	(609,	1392)	and	2142	(1523,
2762)	respectively
§ Bias	=	1.3	ml	;	Limits	of	agreement	(95%	CI)	=	(-11.6,	14.1)	ml
* NI	Medical,	Israel
50
60
70
80
90
100
110
45 50 55 60 65 70
Mean	Arterial	Pressure	(mmHg)
Stroke	Volume	(ml)
NICaS	 Echo
Subgroup	1:	SV	decrease	
(N=14)
Subgroup	2:	SV	increase	
(N=11)
Michael	Germain,	MD,	Prof.	Y.	Chait,	Prof.	Nathan	W.	Levin
MyNICaS	Parameters
- Proprietary	-8
Parameter Definition Normal Range Derivation/Formula
Heart Rate HR Number of heart beats each minute
60 - 90 bpm (beats per
minute)
Measurement of the R-R
interval on the ECG
Stroke Volume SV
Amount of blood pumped by the left
ventricle each heartbeat
60 - 130 ml SV ~ ∆R / R
Stroke Index SI
Stroke volume normalized for body
surface area
35 - 65 ml/m
2
SI = SV/ BSA
Cardiac Output CO
Amount of blood pumped by the left
ventricle each minute
4.0 – 8.0 l/min CO = HR x SV / 1000
Cardiac Index CI
Cardiac Output normalized for
body surface area
2.5 - 4.0 l/min/m
2
CI = CO / BSA
Cardiac Power
Index
CPI
An indicator of myocardial
contractility
0.45 – 0.85 w/m
2
CPI = CI x MAP x 0.0022
Total Peripheral
Resistance
TPR
The resistance to the flow of blood
in the arterial system Afterload
770 - 1500 dynes x
sec /cm5
TPR = MAP / CO x 80
Total Peripheral
Resistance
Index
TPRI
The resistance to the flow of
blood in the arterial system
normalized for body surface area
1600 - 3000 dynes x
sec /cm5 x m
2 TPRI = MAP / CI x 80
Total Body Water TBW
The amount of fluids as a % of
body weight
Individually calculated
as per gender and BMI
TBW ~ Ht
2
/ R
Respiration Rate RR
Number of breaths each minute
8 – 24 breaths / minute
Ø
Ø
9
Cardiac	Power	Index	(CPI)
MyNICaS	CPI	best	predicted	6	month	mortality	of	patients	admitted	to	the	ICU*
N=92;	6	month	mortality=32	(34.8%);	Cut-off	point	CPI=0.30;	Sensitivity	75.9%;	Specificity	84.1%
References:
1.	Gad	Cotter	et	al,	Cardiac	Power	is	the	stronger	hemodynamic	correlate	of	mortality	in	cardiogenic	shock.	
J	of	the	American	College	of	Cardiology	Vol	44,	No.	2,	2004
2.	Dorinna	D.	Mendoza	et	al,	Cardiac	Power	predicts	mortality	across	a	broad	spectrum	of	patients	with	acute	cardiac	disease.		
American	Heart	Journal	Vol	153,	No.	3,	2007
]2
mw/[0.0022	MAP	X	CI	x	CPI=MyNICaS	
Ref.	1	data
N:	189
Mean	Age:	68±12
Mean	CP:	0.62±0.30	[w/m2](Patients	diagnosed	with	
Sepsis	shock	were	excluded)
Total	Body	Water	(TBW)	
Normal	Range
- Proprietary	-10
References:
Robert	F	Kushner	et	al, Is	the	impedance	index	(ht2/R)	significant	in	predicting	total	body	water?	
American	Journal	Nutr	1992:56:835-9
Patricia	E.	Watson	et	al,	Total	body	water	volumes	for	adult	males	and	females	estimated	from	simple	anthropometric	measurements	
The	American	Journal	of	Clinical	Nutrition	33:	Jan	1980	pp.	27-39
High
Normal
Low
High
Normal
Low
Data	source:	Cardioguard
Preload
TBW
Total Body Water
Contractility
CP
Cardiac Power
Afterload
TPR
Total Peripheral Resist.
Determined by vasodilation and fluid respond as
trended by NICaS TPRI, CPI and TBW
SV
Stroke Volume
HR
Heart Rate X
11 - Proprietary	-
=	 X XCO
Cardiac Output
SaO2
Oxygen Saturation
Hgb
Hemoglobin
DO2
Oxygen
Delivery
Oximeter Blood	Test
Basic	Physiology	– O2	Delivery
MyNICaS	Guided	determination	of	Preload,	Contractility	and	Afterload
Contractility
Power of contraction
PRELOAD, CONTRACTILITY, AFTERLOAD
The	role	of	cardiac	power	and	peripheral	resistance	
for	the	understanding	of	the	relationships	between	BP	and	CO
Total	Peripheral	Resistance	=	MAP/Cardiac	Output	x	80	(dynxsec/cm5)
Cardiac	Power	=	MAP	x	Cardiac	Output	x	0.0022	(watt)
Increases	Cardiac	power
(Increased	preload)
Decreases
Cardiac	power
(Decreased	preload)
Cardiac	Output	(blood	flow)
Blood	Pressure
Cardiac	Ventriculo	– arterial	
function	curves	
(at	constant	preload)*
• G.	Cotter	et	al.	Ventriculo-arterial	function	curves,	a	new	dimension		characterizing	acute	heart	failure.	
The	European	J.	of	HR	5	(2003)	407-410
13
Hypertension	
- Proprietary	-
1.	Merai	R,	Siegel	C,	Rakotz	M,	Basch	P,	Wright	J,	Wong	B;	DHSc.,	Thorpe	P.	CDC	Grand	Rounds:	A	Public	Health	Approach	to	Detect	and	Control	
Hypertension. MMWR	Morb	Mortal	Wkly Rep.	2016	Nov	18;65(45):1261-1264
The	Problem:
§ About 1	of	3	U.S.	adults	- or	about 75	million	people	- have	high	blood	pressure1
§ Only	about	half	(54%) of	these	people	have	their	high	blood	pressure	under	control1
§ Hypertension	control	is	based	on	a	trial	and	error	process	as	it	is	not	clear	which	
medication	is	the	most	appropriate		to	start	with	(JNC8	protocol)
§ Low	patient	compliance
Our	solution
§ Treat	hypertension	as	per	each	patient’s	hemodynamic	profile	(Vasoconstricted,	
Hyperdynamic	or	Mixed	hemodynamic)
Expected	results:
ü Improve	hypertension	control	to	>90%
ü Improve	cardiac	output	while	controlling	BP
ü Use	less	medications
NICaS	reveals:
Normal	HR
Hypertension	(stage	II)
Patient	is	Vasoconstricted
Low cardiac	output
Normal	Cardiac	power
High	Afterload
Normal	TBW
14
Case	Study	1	– Hypertension	Control
- Proprietary	-
Treatment:	ACEI	(after	2	weeks)
15
Case	Study	2,	3:	Hypertension	Control	- Vasoconstricted
Baseline: Patient
is	vasoconstricted:
High	BP	(163/88),	
low	CI	(2.3),	
no	medications
After	3	days	of	treatment	with	
Enaladex	2x10	mg
Normal	BP	(127/76)	and	CI	(3.2)
- Proprietary	-
Baseline: Patient
is	vasoconstricted:
High	BP	(159/86),	
Good	CI	(2.9),	
no	medications
After	treatment	with	Diuretics	
Normal	BP	(135/81)	but	CI	reduced	to	(2.1)
16
Case	Study	4:	Hypertension	Control	- Hyperdynamic
Baseline:	Patient	is	
Hyperdynamic:
High	BP	(170/88),
High	CI	(4.6)	
After	a	week	of	treatment	with	Beta	Blocker
Normal	BP	(139/77),	Normal	CI	(3.7)
- Proprietary	-
17
Hypertension	Control
Conclusions
ü “The	ICG	technology	(MyNICaS)	enables	to	start	treatment	with	the	most	
appropriate	medication	and	in	making	adjustments	in	patients	with	more	
resistant	hypertension”	
Doug	Romer,	Medical	Director	Primed	Physicians
ü “A	great	unexpected	benefit	has	been	the	patient’s	engagement	and	
understanding	of	their	hypertension	as	they	can	finally	‘see	their	blood	pressure’”	
Doug	Romer,	Medical	Director	Primed	Physicians
- Proprietary	-
18
Heart	Failure	management	in	the	community
- Proprietary	-
The	Problem:
§ Heart	Failure	patients	are	normally	discharged	from	hospital	with	diuretics	and	Beta	
blockers	but	not	enough	afterload	reduction
§ Physicians	in	the	community	tend	not	to	change	medications	prescribed	at	the	hospital
§ At	a	certain	point	of	time	patient’s	intravascular	volume	will	be	reduced	resulting	in	
decompensation	and	fluid	accumulation
§ High	hospital	readmission	(about	20-22%	within	30	days	and	50%	within	6	month)
Our	solution
§ Adjust	medications	(Diuretics,	Afterload	reduction,	Beta	Blockers)	as	patient’s	
hemodynamics	changes	over	time	(Vasoconstriction	and	volume	status)
Expected	results:
ü Significant	reduction	of	hospital’s	readmission	(by	>	then	50%)
NICaS	reveals:
Normal	HR
Normal	BP
No	edema,	patient	fill	good
Normal	TBW
Patient	is	not	OK	and	needs	
Medical	Attention
Low Contractility
High	Afterload
19
Case	Study	5	– CHF	in	the	community
- Proprietary	-
Treatment:	ACE	Inhibitor	+	low	salt	diet
(after	10	weeks)
20
Case	Study	6	(ICU):	Afterload	– Respond	to	Nitroglycerine
- Proprietary	-
]2
mw/[0.43	to	0.31	CPI	increases	from	
SI	increases	from	17	to	30	[ml/m2
]
21
Case	Study	7	(ICU):	Preload	– Respond	to	Fluid	Challenge
- Proprietary	-
CPI	increases	from	0.23	to	0.38	[w/m2
]
ml][29	to	18	SI	increases	from
22
Heart	Failure	management	in	the	community
Conclusions
ü “The	ICG	technology	will	identify	residents	with	impending	heart	failure	before	they	
decompensate	allowing	time	to	make	necessary	adjustments	that	will	prevent	the	
decompensation”	 Prof.	Arman	T.	Askari,	Cleveland	Clinic
- Proprietary	-
ü “The	results	of	the	program	were	quite	impressive.	There	were	no	readmissions	to	the	
hospital	from	either	site	for	heart	failure	in	over	6	months.	The	majority	of	residents	
could	be	optimally	titrated	on	medications	for	heart	failure	and	taken	off	medications	
that	were	not	addressing	the	pathophysiology	of	the	resident	as	suggested	by	the	NICaS	
ICG	analysis”	Matthew	Wayne	MD,	CMD;	Chief	Medical	Officer,	Communicare	Family	of	Companies	(40	
residents	with	history	of	heart	failure)
ü “I	have	found	MyNICaS	to	be	very	useful	in	making	better	informed	decisions	about	
adjustments	to	multiple	cardio	active	medications	in	patients	with	advanced	heart	failure	
– particularly	when	it	is	not	clear	whether	a	more	aggressive	diuresis	or	vasodilatation	is	
required”	Prof. Martin R. Cowie MD MSc FRCP FESC, Imperial College London (Royal Brompton
Hospital)
23
Case	Study	8	(ICU):	Passive	Leg	Raising
- Proprietary	-
24
Heart	Failure	management	in	the	CCU/ICU
Fluids/	Vasodilators	Optimization
1. High	TPRI
§ CPI	increases	as	a	respond	to	vasodilators	-
Primary	diagnosis	is	Afterload	(Vasoconstriction)
§ CPI	decreases	as	a	respond	to	vasodilators	-
Primary	diagnosis	is	Preload/	Contractility
2. Normal	TPRI
§ CPI	increases	as	a	respond	to	fluid	challenge	-
Primary	diagnosis	is	Preload
§ CPI	decreases	as	a	respond	to	fluid	challenge	
- Primary	diagnosis	is	Contractility 12
3
4
3. Low	TPRI
§ CPI	increases	as	a	respond	to	vasopressors	-
Primary	diagnosis	is	Afterload	(Vasodilatation)
§ CPI	decreases	as	a	respond	to	vasopressors	-
Primary	diagnosis	is	Preload/	Contractility
1
2
3
25
Navigation	Pathway	for	CCU/ICU
- Proprietary	-
Hypertension	Vasoconstricted (high	BP,		
low	CI,	high	TPRI)
- Increase	dose/add:	ACEI,	ARB	or	other	
Vasodilator
- Consider	reduce:	BB
- Target:	BP<140/90,	TPRI<3,650
Pulmonary	Edema	(elevated	BP,	low	CI,	
high	TPRI,	SpO2<90%,	severe	respiratory	
disorder)
- Increase	dose/add:	Isosorbide	dinitrate
- Increase	does/add:	diuretic	(e.g.	Furosemide/	
Lasix)	– make	sure	SI	not	reduced
- Target:	lower	TPRI	until	SBP	reduces	by	25%
Exacerbated	HF	(normal	BP,	low	CI,	high	
TPRI
- Increase	dose/add:	vasodilation	(e.g.	ACEI,	ARB,	
if	not	effective	add	Hydralazine)
- Consider	increase	dose/	add:	Positive	Inotropic	
Agents,	Aldospirone
- Target:	CPI>0.30,	TPRI<3,650
Low	perfusion	(Cardiogenic	Shock)	(low	
BP,	low	CI,	low	CPI)
- Exclude	RV	dysfunction	by	Echo	cardiography
- Exclude	dehydration	or	hemorrhage
- Increase	dose/add:	positive	Inotropic	Agent	(e.g.	
Cardiac	Glycoside)
- Add	fluid	if	TBW	low	or	normal+edema +SI<30
- Consider	mech.	support	if	no	response	to	drugs
- Target:	CPI>0.30,	MAP>65
Hypertension	Hyperdynamic	(High	
BP,			Normal	TPRI,	High	CPI)
- High	SI:	increase	dose/add:	CCB	w	negative	
inotropic	Effect	(e.g.	Verapamil)
- High	HR:	increase	dose/add:	Beta	Blocker
- Consider	diuretic	(e.g.	Aldospirone,	
Furosemide/	Lasix).	If	TBW	low	– avoid	
diuretics
- Target:	BP<140/90,	CPI<1.00
Hyperdynamic	Circulation (Low	
TPRI,	High	CPI)
- Identify	cause	and	treat	accordingly
(Stress,	withdrawal	state,	sever	pain,	
hepato-syndrom,	early	sepsis,	sever	
allergic	reaction,	anemia,	large	
arteriovenous	fistula,	multiple	small	
arteriovenous	shunts,	hyperthyroidism,	
beriberi,	paget disease	etc.)
- Target:	CI<4.5
Distributive	Shock	(Low	TPRI,	High	CI)
- Identify	cause	and	treat	accordingly	
(Septic,	anaphylactic,	adrenal	insufficiency,	
neurogenic)
- Add	fluids	if	fluids	responsiveness	(PLR)		
- Add	vasopressors	(Norepinephrine,	
Epinephrine,	Vasopressin)	to	maintain	
MAP>65
COLD-WET WARM-WET
WARM-DRYCOLD-DRY
26
Hemodynamic	trends	during	dialysis	treatment
Intradialytic	Hypotension	(IDH)	Subgroups
IDH	due	to	Cardiac	Power	(CPI)	reduction:	
CPI	is	reduced	due	to	preload	reduction
CI	reduced,	no	significant	change	in	TPRI	
IDH	due	to	TPRI	reduction(	Vasodilation):	
TPRI	reduces,	CI	increase,
No	significant	change	in	CPI
IDH	due	to	Mixed	Hemodynamic:	
Both	CPI	&	TPRI	reduces
No	significant	change	in	CO	
CI – Cardiac	Output	Index;		CPI- Cardiac	Power	Index;		TPRI – Total	Peripheral	Resistance	Index
40
50
60
70
80
90
100
110
120
130
140
150
160
0.5 1.0 1.5 2.0 2.5 3.0 3.5 4.0 4.5 5.0 5.5 6.0
Cardiac	Output	Index	[l/mim/m2]
IDH	- CPI	REDUCTION
(35	out	of	99,	35.4%)
Blood	Pressure	[mmHg]
40
50
60
70
80
90
100
110
120
130
140
150
160
0.5 1.0 1.5 2.0 2.5 3.0 3.5 4.0 4.5 5.0 5.5 6.0
Cardiac	Output	Index	[l/mim/m2]
IDH	- TPRI	DECREASED
(37	out	of	99,	37.4%)
Blood	Pressure	[mmHg]
40
50
60
70
80
90
100
110
120
130
140
150
160
0.5 1.0 1.5 2.0 2.5 3.0 3.5 4.0 4.5 5.0 5.5 6.0
Cardiac	Output	Index	[l/mim/m2]
IDH	- COMBINED	HEMODYNAMIC
(27	out	of	99,	27.3%)
Blood	Pressure	[mmHg]
27
Hemodynamic	trends	during	dialysis	treatment
Intradialytic	Hypertension	(IH)	Subgroups
CI – Cardiac	Output	Index;		CPI- Cardiac	Power	Index;		TPRI – Total	Peripheral	Resistance	Index
IH	due	to	Vasoconstriction:	
TPRI	increases,	CI	decrease,	
no	significant	change	in	CPI	
IDH	due	to	Hyperdynamic state
CPI	increases,	CI	increase,
No	significant	change	in	TPRI
IDH	due	to	Mixed	Hemodynamic:	
Both	CPI	&	TPRI	increase
No	significant	change	in	CI
28
Summary
ü Hemodynamic	management	of	patients	in	the	critical	care	setting	and	of	chronic	
patients	is	a	great	challenge
ü Blood	pressure	is	an	important	vital	sign	but	does	not	provide	the	full	information	
needed	for	an	effecting	hemodynamic	management
ü Clinicians	ability	to	estimate	cardiac	output	is	limited
ü Non-invasive	hemodynamic	monitoring	and	graphically	trending	of	Total	Peripheral	
Resistance	and	Cardiac	power	provides	a	good	hemodynamic	understanding
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