8 research outputs found
First report of the point-of-care TEG: A technical validation study of the TEG-6S system
<p>Thrombelastography (TEG) measured by the TEG5000 Hemostasis Analyzer is an established but the labor-intensive method for assessing global hemostasis. The first true point-of-care TEG, the TEG6s system, uses resonance-frequency viscoelasticity measurements and a disposable multi-channel microfluidic cartridge to assess hemostasis and response to antiplatelet therapy. TEG assays (<i>n</i> = 5,100) were performed on the blood of healthy volunteers (<i>n</i> = 157) and patients undergoing coronary revascularization at three hospitals (<i>n</i> = 300). The results from the TEG6s were compared with the conventional TEG5000 in accordance with Clinical and Laboratory Standards Institute (CLSI) and FDA recommendations. Precision testing was conducted using blood from healthy donors, all assays were run for 5 consecutive days in duplicate using multiple operators, lots, and instruments. Reference ranges were comparable between the TEG systems.</p> <p>Deming regression analysis demonstrated a strong correlation between the two systems for the standard hemostasis tests (R <i>r =</i> 0.932, MA <i>r =</i> 0.972, LY30 <i>r =</i> 0.938). Method comparison analysis showed an acceptable agreement between PlateletMapping (PM) assays for measuring arachidonic acid (indicator of aspirin response)- and adenosine diphosphate (indicator of P2Y<sub>12</sub> inhibitor response)-induced platelet aggregation (total agreement = 90%, and 72%, respectively). TEG6s precision testing yielded low variability (CV 0–13%) in all measures. The new point-of-care TEG6s is associated with greater ease of use than the TEG5000 and provides precise results. The results correlated between methods for all variables. TEG6s is a promising device for near-patient hemostasis monitoring and future trials of personalized therapy designed to reduce bleeding and thrombosis.</p
Demographic and disease related characteristics of participants.
<p>Demographic and disease related characteristics of participants.</p
Distribution of compliance among all enrolled participants in the NL (n = 304-black) and NAM (n = 649-white) study cohorts.
<p>Distribution of compliance among all enrolled participants in the NL (n = 304-black) and NAM (n = 649-white) study cohorts.</p
Distribution of data-contributors’ characteristics and influence on compliance for the NL and NAM cohorts.
<p>Distribution of data-contributors’ characteristics and influence on compliance for the NL and NAM cohorts.</p
(a) Fox Wearable Companion app main screen; (b) Fox Wearable Companion app activity graph; (c) Fox Wearable Companion app movement during sleep graph; (d) Fox Wearable Companion app symptom self-reports.
<p>“Reprinted from [Intel and Michael J Fox Foundation] under a CC BY license, with permission from [INTEL<sup>®</sup>], original copyright [2017].</p
Attrition in compliance per day for NL (n = 291, black) and NAM participants (n = 514, gray) during the follow up period.
<p>Attrition in compliance per day for NL (n = 291, black) and NAM participants (n = 514, gray) during the follow up period.</p
Number of participants actively collecting sensor data at the NL (gray) and NAM (black) cohorts during and after the follow-up period (total initial n = 805).
<p>Number of participants actively collecting sensor data at the NL (gray) and NAM (black) cohorts during and after the follow-up period (total initial n = 805).</p
SUS scoring of the Fox Wearable Companion platform (smartwatch with smartphone app) as rated by participants.
<p>SUS scoring of the Fox Wearable Companion platform (smartwatch with smartphone app) as rated by participants.</p