-
Mashup Score: 1Blue Briefing: The Accuracy of Race/Ethnicity-based Equations for Spirometry Assessments - 3 year(s) ago
A new population-based study shows including race and ethnicity in the calculation of spirometry reference equation does not improve the prediction accuracy …
Source: YouTubeCategories: Latest Headlines, PulmonologyTweet
-
Mashup Score: 0fractionated QRS complex for cardiovascular risk assessment - 3 year(s) ago
This editorial refers to ‘QRS micro-fragmentation as a mortality predictor’, by K. Hnatkova et al., https://doi.org/10.1093/eurheartj/ehac085.
Source: OUP AcademicCategories: Cardiologists, Latest HeadlinesTweet
-
Mashup Score: 0Could Facebook monitoring predict sudden epilepsy death? - - 3 year(s) ago
Could monitoring of social media like Facebook help predict sudden unexpected epilepsy death (SUDEP), which occurs in around 3,000 people in the US each year?
Source: pharmaphorum.comCategories: Healthcare Professionals, Latest HeadlinesTweet
-
Mashup Score: 4QRS micro-fragmentation as a mortality predictor - 3 year(s) ago
AbstractAims. Fragmented QRS complex with visible notching on standard 12-lead electrocardiogram (ECG) is understood to represent depolarization abnormalities a
Source: OUP AcademicCategories: Cardiologists, Latest HeadlinesTweet
-
Mashup Score: 0
Introduction: The effect of age on health outcomes in kidney transplantation remains inconclusive. This study aimed to analyze the relationship between age at time of kidney transplantation with mortality, graft loss and self-rated health status in adult kidney transplant recipients.Methods: This study used data from the Swiss Transplant Cohort Study and included prospective data of kidney…
Source: FrontiersCategories: Latest Headlines, TransplantationTweet
-
Mashup Score: 0
Introduction: The effect of age on health outcomes in kidney transplantation remains inconclusive. This study aimed to analyze the relationship between age at time of kidney transplantation with mortality, graft loss and self-rated health status in adult kidney transplant recipients.Methods: This study used data from the Swiss Transplant Cohort Study and included prospective data of kidney…
Source: FrontiersCategories: Latest Headlines, TransplantationTweet
-
Mashup Score: 11
Our results demonstrated that the NeuralCVD score can estimate cardiovascular risk trajectories for primary prevention. NeuralCVD learns the transition of predictive information from genotype to phenotype and identifies individuals with high genetic predisposition before developing a severe clinical phenotype. This finding could improve the reprioritisation of otherwise low-risk individuals with…
Source: The Lancet Digital HealthCategories: Future of Medicine, Latest HeadlinesTweet-
NEW Research: 'Neural network-based integration of #polygenic and clinical information: development and validation of a #prediction model for 10-year risk of major adverse #cardiac events in the UK Biobank cohort'.@ChariteBerlin @HumboldtUni @UniHeidelberg https://t.co/GcnNq3VixW https://t.co/PIHyxAcYLt
-
-
Mashup Score: 0To screen or not to screen? The development of a prediction model for aorto‐iliac stenosis in kidney transplant candidates - 3 year(s) ago
The presence of aorto-iliac stenosis affects pre-transplant decisions regarding the side of implantation and the need for an additional vascular procedure. Our prediction model can guide the developm…
Source: Wiley Online LibraryCategories: Latest Headlines, TransplantationTweet
-
Mashup Score: 5
In 1899, a group of French illustrators was tasked with imagining what France would look like in the year 2000. “The famous futurist author Isaac Asimov…
Source: www.linkedin.comCategories: Healthcare Professionals, Latest HeadlinesTweet-
In 1899, French #illustrators was tasked with #imagining what France would look like in the 2000s. What's fascinating to me in many of these drawings is how easy it is to make one #prediction well enough while missing the big picture. #themedicalfuturist https://t.co/a8EEz5Kzu7 https://t.co/ptg893EvQt
-
-
Mashup Score: 2
Click on the article title to read more.
Source: Wiley Online LibraryCategories: Latest Headlines, NeurologyTweet
In this episode of #BlueBriefing, an AJRCCM study shows including #race and #ethnicity in the #calculation of #spirometry #reference #equations does not improve the #prediction of lower #respiratory #disease events. Find out more here: https://t.co/P0wFMqPkMn