3-Factor Prediction Tool Targets Inactivity After Stroke to Prevent Recurrent Heart Events
International Journal of Stroke (IJS) shared on X:
”Development of a clinical prediction rule to identify people at risk of inactive movement behavior patterns. Early identification based on age, sex, and patient-reported fatigue can facilitate stratification for interventions.”
Read the full article here.
Sage Journals recently published an article by Sophie Pagen et al.
A clinical prediction rule has been developed to identify survivors at risk of deteriorating movement behaviour, a key factor for recurrent cardiovascular events.
Based on age, sex, and self-reported fatigue, the tool enables early stratification for tailored interventions to promote physical activity and support secondary prevention.
While internally validated, external validation is needed before clinical application!
Latest updates on stroke management featured in Hemostasis Today.
-
May 25, 2026, 11:06Roberta Gualtierotti: Iron Is More Than a Hematologic Parameter
-
May 25, 2026, 11:03Divyaswathi Citla Sridhar: How Bone Health Is Impacted in Bleeding Disorders
-
May 25, 2026, 10:48Ama Ameyaw: Beginning My Research Journey in HIT and Platelet Immunology at the Wen Lab
-
May 25, 2026, 10:46Fredrick Chalinga: Negative DAT Does Not Mean No Hemolysis
-
May 25, 2026, 10:41Mukaram Rana: Anticoagulation-Free VV-ECMO for Trauma-Induced Pulmonary Haemorrhage in Fontan Physiology
-
May 25, 2026, 10:30Rob Mac Sweeney: Prevention and Treatment of Thrombosis in Patients With Decompensated Cirrhosis
-
May 25, 2026, 07:34Wolfgang Miesbach: The Maastricht Bleeding Cohort and The High Prevalence of BDUC in Women
-
May 25, 2026, 07:31Maya Brown-Zimmerman: Bridging Patient Experience and Genetic Counseling in Marfan Syndrome
-
May 25, 2026, 05:25Abdullah Mohsin: Automated Detection of DVT Using Deep Learning and Doppler Ultrasound