SPIE 2016 - 20160215

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    Assessment of multi-wavelength pulse photometry for non-invasive dos

    circulating drugs and nanoparticles

    Pratik Adhikari [a], Wakako Eklund [b], Eric Sherer [c], D. Patrick O’N

    [a] Center for Biomedical Engineering and Rehabilitation Sciences (CBERS), Louisiana Tech Un[b] Pediatrix Medical Group of Tennessee, Nashville, TN.[c] Department of Chemical Engineering, Louisiana Tech University, Ruston, LA

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    The Five Rights of Medication Administration: “A Destination Witho

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    RIGHT PATIENT

    RIGHT DRUG RIGHT DOSE

    RIGHT ROUTE RIGHT TIME

    Volume of distribution?

    point-of-care?

    detection

    in vivo?

    pK, pD, clearance rate?

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    Unmet need related to real time monitoring

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    • Helps make informed clinical decisions during prevention, diagnosis, treatment, an

    • On the greater scheme, recent development of wearable sensors health monitorin

    been instrumental in(1) enable the detection of early signs of health deterioration;

    (2) notify health care providers in critical situations;

    (3) find correlations between lifestyle and health;

    (4) bring healthcare to remote locations and developing countries, where cell

    are pervasive and in some cases the only available communications device;

    •Applied in a clinical setting in a therapeutic application, real time feedback, througdata at point of care would help make informed clinical decisions, potentially impro

    efficacy of the treatment.

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    Pulse Oximetry: Extracting and quantifying the pulsatile/AC sign

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    Plethysmograph – an instrument for meas

    volume (usually resulting from changes in

    contained within a fixed area).

    Plethysmogram (PPG) – the waveform cre

    changes in volume temporally using a plet

    Photoplethysmogram – a waveform obtai

    sensed changes in light to track temporal f

    volume.

    Fig: Tamura et. al, “Wearable Photoplethysmographic Sensors—Past and Present”, 2014

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    Photoplethysmography: Application in pulse oximetry

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    R =ΔAλ660ΔAλ940

    =

    log  DCD C − A C

    λ6

    log  DCD C − A C

    λ9

    • The ratio of pulsatile changes

    using the DC and AC portions o

    be equated to small changes i

    referred to as ΔA.

    • The ratio of ΔA’s at two wavelen

    to as R, but the system is ex

    wavelengths to allow

    measurement of oxygen satura

    target materials.

    • Note: Not path-length depend

    0

    1000

    2000

    3000

    4000

    600 700 800 900 1000

       M  o   l  a  r   E  x   t   i  n  c   t   i  o  n   C  o  e   f   f   i  c   i  e  n   t   (  c  m  -   1

       )

    Wavelength (nm)

    HbO2

    HbR 

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    Photoplethysmography: Other uses of pulsatile signal

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    V(t)

    t (sec)

    V(t)

    t (sec)

    Injection of particles

    VAC

    VDC

    • The Δ thus obtained is the absorbance in that wavelength, caused by the introduction of the com

    • The conversion of absorbance to the concentration of the compound in pulsatile blood is done em

    requires blood samples.

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    Effect of absorbent agent on the waveform

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    -6

    -4

    -2

    0

    2

    4

    6

    0.0 0.1 0.1 0.2 0.2 0.3 0.3 0.4

       A   m   p    l   i   t   u    d   e    (   m   V    )

    Time (sec)

    Post injection

    340 nm 660 nm 940 nm

    -6

    -4

    -2

    0

    2

    4

    6

    0 0.05 0.1 0.15 0.2 0.25 0.3 0.35 0.4 0.45 0.5

       A   m   p    l   i   t   u    d   e    (   m   V    )

    Time (sec)

    Pre-injection

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    • Concurrent nanoparticle monitoring and oxygen saturation (SpO2)

    • Extinction spectrum of nanoparticles must be known

    • Real-time LabVIEW output

    • Simultaneous equation solver in LabVIEW block diagram

    • Three wavelength data collection to perform oximetry

    • Filter signals to isolate pulses and DC levels

    0

    0.2

    0.4

    0.6

    0.8

    1

    1.2

    500 600 700 800 900

       N   o   U   n   i   t   s

    Wavelength (nm)

    0

    0.2

    0.4

    0.6

    0.8

    1

    1.2

    610 660 710 760 810 860

       N   o   U   n   i   t   s

    Wavelength (nm)

    Algorithm and Rationale for selection of wavelengths

    • Note: Not path-length dependent

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    Multi-wavelength prototype for mice

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    Oscillator 3 bit

    counter

    3-to-8

    decoder

    Su

    Ch

    7

    Ch

    5

    Ch

    3

    Ch

    1

    I/V

    LED

    Tail/Foot Clip

    LEDs

    Photodiode

    LEDs

    Photodiode

    Leg and Foot/Tail Probes

    • A pulse photometer, similar to pulse

    oximeters, and interrogates

    perfused tissue.• Real-time non-invasive optical

    monitoring of intravascular NS, with

    a dynamic range of ≈0.5-8

    optical densities

    • Designed using analog circuit

    components (integrated circuits

    and opto-electronics) and a

    LabVIEW software interface.• LEDs :

    • LZ1 UV 365 nm emitter

    (Mouser)

    • LED 660/940-04A (Roithner

    Laser Technik)

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    Example: Can a new drug be monitored using the prototype?

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    • Molar extinction coefficient of ABELCET® at 360 nm = 36963.6 M-1cm-1

    • Molarity of 5mg/mL solution = 5.5 mM

    • Dosage:

    Common maintenance dosage of intravenous ABELCET® solution is 5 mg/kg/day.[1]

    • The delivered dose was ≈ 5 mg/kg.

    • Example dosage on a 25 gm mouse:

    • Injected dosage = 25µL of ABELCET ® solution

    • Molarity of resultant solution in blood (Assuming 1000 µl volume of distribution) = 0.134mM

    • Predicted absorbance caused by the presence of the compound = 4.958

    [1] ABELCET ® package insert, Sigma-Tau Pharmaceuticals, Inc.

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    Example: Monitoring the concentration of amphotericin b

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    0

    0.5

    1

    1.5

    2

    2.5

    3

    3.5

    4

    4.5

    0 100 200 300 400 500 600 700 800

       C  o  n  c  e  n   t  r  a   t   i  o  n   (   O   D   )

    Time (mins)

    Injection phase

    PPG

    UV/Vis

    Fig: Clearance curve of ABELCET ®

    invasively by the PPG (blue marker

    draws by UV/Vis analysis (red mark

    were then fitted to a single decay e

    obtain half-lives. (UV/Vis = 355 min

    green markers indicate continuous

    the infusion phase.

    • Continuous near-real time m

    • Confirmation of delivered d

    • Information on pharmacolog

    circulation half-life, peak co

    • Possibly predict treatment e

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    Comparison results from the three agents

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    Fig. (a) - Linear model showing agreement betwee

    measured with pulse photometry and spectropho

    0.0497, R2 = 0.903, n = 30). The 95% confidence (l

    (small dashes) intervals are shown for the entire rdensities using the pulse photometer.

    Fig. (b)- The comparison between the results of th

    and the PPG readings for quinine. The graph repre

    that were taken at different time points after the q

    against the results from UV/ Vis analysis of the blo

    (n=3 mice, 9 points from each mouse). Linear fit, 9

    (dashed lines) and 95% prediction interval (dotted

    are shown.

    Fig. (c)- The comparison between the results of th

    and the PPG readings. The graph represents the P

    taken at different time points after the AmB inject

    results from UV/ Vis analysis of the blood draws at

    7-8 points from each mouse). Linear fit had the slo

    intercept of 0.41, 95% confidence interval (dashed

    interval (dotted line) for future data points are sho

    Fig. (d)- Example pulsatile signals recorded by the Fig: (a) Michalak et. al 2010 JBO (15)4

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    Assessing the performance of the device with three agents

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    Circulating

    Agent

    Wavelength of

    interest

    Linear fit with

    UV/Vis

    Correlation coefficient

    (R2)

    Precision (Bland-

    Altman)

    Gold nanorods 805 nm y = 0.87x+0.09 0.94 0.86 OD

    Quinine 355 nm y = 0.927x+0.30 0.96 0.56 OD

    Amp B 355 nm y = 0.85x+0.41 0.88 0.62 OD

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    Signal Selection: Removal of Noise

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    A code was specifically written to extract the data points that meet all the criteria for data standards in M

    • AC magnitude was in the range of 10-100 mV peak-to-peak,

    • The standard deviation of R was less than 0.03,

    • The heart rate measured on all three channels (660, 805 and 940 nm) were within 10% of the avera

    Program description:

    • Inputs:

    • Raw time correlated data

    • Outputs

    • Graph of all collected data

    • Graph of Averaged raw signal to create “discrete” time point reading

    • Calculated Pharmacokinetic parameters: AUC, Elimination rate Constant, Half Life, Projected Peak

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    Determine the optimum probing location

    Assessed by examining the AC magnitude (SNR), signal stability, and SpO 2 at eachlocation

    Foot

    SpO2: 98.23% ± 0.36%

    μNR: 0.0073 ± 0.0468

    Tail

    SpO2: 96.37% ± 0.88%

    μNR: 0.0259 ± 0.0865

    Leg

    SpO2: 91.79% ± 0.0146%

    μNR: 0.1912 ± 0.0643

    Site-by-Site Analysis of Signal Quality

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    Current industry use of Photoplethysmography and PDD

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    • Cardiac Output and Hemodynamics (blood pressure, stroke volume, blood volume, etc.)

    • Estimated Continuous Cardiac Output (esCCO) – Nihon Kohden

    • The principle of esCCO is an inverse correlation between stroke volume (SV) and p

    (PWTT).• Systoe

    • Systolic Pressure detector in digits

    • Hepatic Function monitoring

    • LIMON®, the technology for non-invasive measurement of liver function and splanchni

    monitoring, based on elimination of ICG-PULSION

    • Nicolet VasoGuard

    • Four-channel PPG probes operating simultaneously. Use all four in testing upper or lowobtaining all measurements for an Ankle-Brachial index.

    • PPGi systems

    • Pulse Oximetry

    • Blood Pressure

    • Detection of respiratory events during sleep apnea

    • Wearable sensors and heart rate detections

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    Estimation of hemodynamic parameters using PDD: so far

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    Group Year Parameter Number of Subjects (n) Method 1 Method 2 Bia

    Ijima et al 1998 Blood Volume 10 (healthy) Spectrometry (in vitro) PDD (nose) 2.7

    PDD (finger) -0.

    Haruna et al 1998 Blood Volume 27 (cardiac surgery) Spectrometry (in vitro) PDD (nose) -5.

    PDD (finger) -4.

    Reekers et. al. 2009 Cardiac Output 10 (healthy) High performance liquid

    chromatography

    PDD (nose) 30

    PDD (finger) -5%

    Blood Volume 10(healthy) High performance liquid

    chromatography

    PDD (nose) -10

    PDD finger 15

    Fischer et. al 2014 Cardiac Output 30 Transthoracic echocardio. esCCO

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    Limitations of pulse dye densitometry in calculating cardiac out

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    • Errors related to signal detection by pulse spectrophotometry

    • Probe motion artifact

    • Poor peripheral circulation

    • Presence of stray light in a clinical setting

    • Presence of abnormal hemoglobin

    • Errors related to distribution and determination of plasma ICG concentration

    • Inadequate mixing, especially in low cardiac output states

    • Errors in back-extrapolation from MTT Delayed clearance of ICG in patients with signifi

    dysfunction

    • Over-estimation of CBV in patients with generalised protein capillary leakage

    • Errors related to derivation of CBV

    • Differences in haematocrit from different sampling sites

    • Correction factor not used

    CBV: circulating blood volume; ICG: indocyanine green; MTT: mean

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    Conclusions and Future Directions

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    • Technique is limited to detecting intrinsically absorptive compounds.

    • While clinical devices using PDD made it into the clinic, as implemented

    to translate laboratory based estimates of reliability.• Clinics report that the signal confounders included variable peripheral ci

    artifacts and stray lights.

    • Using PPG to measure near-real time concentration of optically absorpti

    drugs is clinically feasible, given these confounders.

    • Industry guidelines for signal quality, probe contact and probe pressure (

    oximeters) are not standardized.• Even though PPG can be used to obtain individualized pharmacological p

    as initial achieved dose, clearance rate, bioavailability) there is a lack of c

    regarding the value of that information.

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    Acknowledgements

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    NCMHD -1R41MD006167-01:

    Real-Time Optical Feedback for

    the Control of In Vivo

    Nanoparticle Concentration

    Nanospectra

    Biosciences, Inc.

    LEQSF (2013-16)-RD-B-03

    LEQSF (2009-12) RD-B-07:

    Optical Instrument for the Real-Time

    Estimation of In Vivo Nanoparticle

    Concentration

    DMS – 1032176:

    Mathematical Modeling

    Biological and Biomedic

    Engineering Processes

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    Questions?

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