Features Partner Sites Information LinkXpress hp
Sign In
Advertise with Us
INTEGRA BIOSCIENCES AG

Download Mobile App




Physical Activity and Thrombophilic Risk Investigated

By LabMedica International staff writers
Posted on 18 Feb 2020
Among the effects of physical exercise on coagulation, the influence on protein anticoagulant system and PC deficiency-related thrombophilic risk are still controversial. More...
The impact of physical activity on the coagulation system has been described.

Physical activity (PA) determines a shortening of the activated partial thromboplastin time (APTT) and an increase of the factor VIII. On the other hand, little is known about the variations of the anticoagulant determinants and specifically of Protein C (PC) system, during PA, and in the subsequent recovery phase.

Hematologists at the Ospedale Fatebenefratelli (Naples, Italy) and their colleagues analyzed the variations of the PC system in healthy subjects (12 males, age 18–43 years; mean: 28.5 ± 5.30) performing a treadmill procedure. They measured the APTT before and after activation of endogenous PC, in these subjects before and after a physical exercise and during the subsequent recovery phase (up to one hour). Protein C activity-dependent clotting time (PCAT) was measured on all blood samples by ProC Global test (Siemens Healthcare, Malvern, PA, USA). APTT was also assayed using Siemens Healthcare Pathromtin SL, with a BCS instrument.

The team reported that for the 20 participants in the study, APTT values decreased slightly, i.e., from a basal value of 37.5 seconds (35.0–42.0) to 34.0 seconds (31.0–39.3) and to 35.5 seconds (32.3–38.0) at 15 and at 30 minutes post-exercise respectively. On the other hand, the Pro C values progressively dropped from a median basal level of 123 seconds (114.7–152.3) to 84.5 seconds (78.3–91.0) at 30 minutes post-exercise and returned to baseline levels at 60 minutes.

The authors concluded that the their study shows that the coagulation unbalance observed after strenuous exercise and with no consequence in healthy individuals with normal PC level, could increase the thrombophilic risk in silent carriers of significant defects of the protein C system and occasionally trigger an episode of deep vein thrombosis. The study was published on January 30, 2020 in the Journal of Blood Medicine.

Related Links:
Ospedale Fatebenefratelli
Siemens Healthcare



Gold Member
Collection and Transport System
PurSafe Plus®
New
Gold Member
Ketosis and DKA Test
D-3-Hydroxybutyrate (Ranbut) Assay
Gold Member
Immunochromatographic Assay
CRYPTO Cassette
Urine Chemistry Control
Dropper Urine Chemistry Control
Read the full article by registering today, it's FREE! It's Free!
Register now for FREE to LabMedica.com and get access to news and events that shape the world of Clinical Laboratory Medicine.
  • Free digital version edition of LabMedica International sent by email on regular basis
  • Free print version of LabMedica International magazine (available only outside USA and Canada).
  • Free and unlimited access to back issues of LabMedica International in digital format
  • Free LabMedica International Newsletter sent every week containing the latest news
  • Free breaking news sent via email
  • Free access to Events Calendar
  • Free access to LinkXpress new product services
  • REGISTRATION IS FREE AND EASY!
Click here to Register








Channels

Microbiology

view channel
Image: Development of targeted therapeutics and diagnostics for extrapulmonary tuberculosis at University Hospital Cologne (Photo courtesy of Michael Wodak/Uniklinik Köln)

Blood-Based Molecular Signatures to Enable Rapid EPTB Diagnosis

Extrapulmonary tuberculosis (EPTB) remains difficult to diagnose and treat because it spreads beyond the lungs and lacks easily accessible biomarkers. Despite TB infecting 10 million people yearly, the... Read more

Pathology

view channel
Image: The AI tool combines patient data and images to detect melanoma (Photo courtesy of Professor Gwangill Jeon/Incheon National University)

AI Tool to Transform Skin Cancer Detection with Near-Perfect Accuracy

Melanoma continues to be one of the most difficult skin cancers to diagnose because it often resembles harmless moles or benign lesions. Traditional AI tools depend heavily on dermoscopic images alone,... Read more
Copyright © 2000-2025 Globetech Media. All rights reserved.