Search
Search Results
-
Secondary Prevention and Extreme Cardiovascular Risk Evaluation (SEVERE-1), Focus on Prevalence and Associated Risk Factors: The Study Protocol
IntroductionDespite significant improvement in secondary CardioVascular (CV) preventive strategies, some acute and chronic coronary syndrome (ACS and...
-
Does socioeconomic and environmental burden affect vulnerability to extreme air pollution and heat? A case-crossover study of mortality in California
BackgroundExtreme heat and air pollution is associated with increased mortality. Recent evidence suggests the combined effects of both is greater...
-
Deep learning approach for cardiovascular disease risk stratification and survival analysis on a Canadian cohort
The quantification of carotid plaque has been routinely used to predict cardiovascular risk in cardiovascular disease (CVD) and coronary artery...
-
Could Repeated Cardio-Renal Injury Trigger Late Cardiovascular Sequelae in Extreme Endurance Athletes?
Regular exercise confers multifaceted and well-established health benefits. Yet, transient and asymptomatic increases in markers of cardio-renal...
-
Arterial stiffness in patients with type 1 diabetes and its comparison to cardiovascular risk evaluation tools
BackgroundArterial stiffness is a potential biomarker for cardiovascular disease (CVD) risk in patients with type 1 diabetes (T1D). However, its...
-
Impact of glucose variability on the assessment of the glycemia risk index (GRI) and classic glycemic metrics
ObjectiveTo evaluate the impact of glucose variability on the relationship between the GRI and other glycemic metrics in a cohort of pediatric and...
-
Factors associated with Glycemia Risk Index in a cohort of patients with type 1 Diabetes Mellitus and Latent Autoimmune Diabetes In Adults (LADA)
ObjectiveTo analyze the degree of control based on classical glucometric parameters and Glycemia Risk Index (GRI) in real-life conditions in a cohort...
-
Exposure-lag-response associations between extreme environmental conditions and primary Sjögren’s syndrome
IntroductionPatients with primary Sjögren’s syndrome (pSS) reportedly believe that their symptoms worsen on extreme weather days due to variations in...
-
Using mHealth to improve adherence and reduce blood pressure in individuals with hypertension and bipolar disorder (iTAB-CV): study protocol for a 2-stage randomized clinical trial
BackgroundCardiovascular disease in individuals with mental health conditions such as bipolar disorder is highly prevalent and often poorly managed....
-
Predictive model and risk analysis for coronary heart disease in people living with HIV using machine learning
ObjectiveThis study aimed to construct a coronary heart disease (CHD) risk-prediction model in people living with human immunodeficiency virus...
-
Psoriasis and Cardiovascular Risk in Children: The Usefulness of Carotid Intima-Media Thickness
Psoriasis is a skin disorder which mostly affects adults, beginning in childhood in almost one-third of patients. In adults it is associated with...
-
Machine learning-based health environmental-clinical risk scores in European children
BackgroundEarly life environmental stressors play an important role in the development of multiple chronic disorders. Previous studies that used...
-
Lipid Lowering Drugs in Acute Coronary Syndromes (ACS)
Purpose of ReviewThe purpose of this review is to critically discuss whether more aggressive lipid-lowering strategies are needed in patients with...
-
Dementia risk prediction in individuals with mild cognitive impairment: a comparison of Cox regression and machine learning models
BackgroundCox proportional hazards regression models and machine learning models are widely used for predicting the risk of dementia. Existing...
-
Explainable Boosting Machine approach identifies risk factors for acute renal failure
BackgroundRisk stratification and outcome prediction are crucial for intensive care resource planning. In addressing the large data sets of intensive...
-
A generalizable and interpretable model for mortality risk stratification of sepsis patients in intensive care unit
PurposeThis study aimed to construct a mortality model for the risk stratification of intensive care unit (ICU) patients with sepsis by applying a...
-
Establishing machine learning models to predict the early risk of gastric cancer based on lifestyle factors
BackgroundGastric cancer is one of the leading causes of death worldwide. Screening for gastric cancer greatly relies on endoscopy and pathology...
-
Association between non-dip** blood pressure pattern and different glucometabolic profile during oral glucose tolerance test
It is known that, a not physiological blood pressure (BP) circadian pattern has been associated with increased risk of organ damage and...
-
Added value of arterial stiffness index for the 10-year atherosclerotic cardiovascular disease risk determination in a middle-aged population-based study
ObjectiveAtherosclerotic cardiovascular disease (ASCVD) is considered the leading cause of mortality worldwide. Arterial stiffness, measured by...
-
Association of intraindividual tacrolimus variability with de novo donor-specific HLA antibody development and allograft rejection in pediatric kidney transplant recipients with low immunological risk
BackgroundTacrolimus (Tac) intraindividual variability (TacIPV) in pediatric kidney transplant patients is only poorly understood. We investigated...
