A5107634657- Dialysis and Renal Disease Management
- Chronic Kidney Disease and Diabetes
- Health Systems, Economic Evaluations, Quality of Life
- COVID-19 and healthcare impacts
- Healthcare Policy and Management
- COVID-19 epidemiological studies
- Diabetes Treatment and Management
- Blood Pressure and Hypertension Studies
- Renal Transplantation Outcomes and Treatments
- Acute Kidney Injury Research
- Central Venous Catheters and Hemodialysis
- Global Health Care Issues
- Heart Failure Treatment and Management
- Renal and Vascular Pathologies
- Renal Diseases and Glomerulopathies
- Climate Change and Health Impacts
- Hemodynamic Monitoring and Therapy
- Cardiac Valve Diseases and Treatments
- Healthcare Decision-Making and Restraints
- COVID-19 Clinical Research Studies
- Renal cell carcinoma treatment
- Cardiac, Anesthesia and Surgical Outcomes
- Frailty in Older Adults
- Disaster Response and Management
- Healthcare Operations and Scheduling Optimization
University of Toronto
2016-2025
Health Sciences Centre
2015-2025
Sunnybrook Health Science Centre
2015-2025
Public Health Ontario
2014-2025
Institute for Clinical Evaluative Sciences
2022-2024
Sunnybrook Hospital
1999-2023
University Health Network
2001-2023
Women's College Hospital
2001-2023
Canada Research Chairs
2023
Toronto Public Health
2022-2023
A predictive model of mortality in heart failure may be useful for clinicians to improve communication with and care hospitalized patients.To identify predictors develop validate a using information available at hospital presentation.Retrospective study 4031 community-based patients presenting multiple hospitals Ontario, Canada (2624 the derivation cohort from 1999-2001 1407 validation 1997-1999), who had been identified as part Enhanced Feedback Effective Cardiac Treatment (EFFECT)...
<h3>Context</h3>Chronic kidney disease (CKD) is common. Kidney severity can be classified by estimated glomerular filtration rate (GFR) and albuminuria, but more accurate information regarding risk for progression to failure required clinical decisions about testing, treatment, referral.<h3>Objective</h3>To develop validate predictive models of CKD.<h3>Design, Setting, Participants</h3>Development validation prediction using demographic, clinical, laboratory data from 2 independent Canadian...
<h3>Importance</h3> Early identification of individuals at elevated risk developing chronic kidney disease (CKD) could improve clinical care through enhanced surveillance and better management underlying health conditions. <h3>Objective</h3> To develop assessment tools to identify increased CKD, defined by reduced estimated glomerular filtration rate (eGFR). <h3>Design, Setting, Participants</h3> Individual-level data analysis 34 multinational cohorts from the CKD Prognosis Consortium...
on Intensive Care and Emergency Medicine seal is maintained by gentle pressure the TT keeping cuff pressing vocal cords.During percutaneous tracheostomy bougie remains in trachea.When ventilation through tube (cuff inflated) confirmed, are withdrawn.Throughout procedure, if difficulties occur, can be easily re-inserted using as a guide.Results Three different bougies were used: types (number used) Eschmann (29), size 10 Portex disposable (four) 12 (13).Three patients trauma cases: neutral...
This part of a five-part series covering practical issues in the performance decision analysis outlines basic strategies for building trees. The authors offer six recommendations and programming Following these will facilitate sensitivity analyses required to achieve two goals. first is find modeling or errors, process known as "debugging" tree. second determine robustness qualitative conclusions drawn from analysis. Key words: analysis; expected value; utility; trees; probability. (Med...
This paper describes how to estimate probabilities and outcome values for decision trees. Probabilities are usually derived from published studies, but occasionally existing databases, primary data collection, or expert judgment. Outcome represent quantitative estimates of the desirability states, often expressed as utility between 0 1. Utility different health states can be literature, direct measurement in appropriate subjects, opinion. Methods assigning utilities complex described,...
Clinical decisions often have long-term implications. Analysts encounter difficulties when employing conventional decision-analytic methods to model these scenarios. This occurs because probability and utility variables change with time decision trees do not easily capture this dynamic quality. A Markov analysis performed current computer software programs provides a flexible convenient means of modeling However, novices should be aware several potential pitfalls attempting use programs....
<h3>BACKGROUND:</h3> The global spread of coronavirus disease 2019 (COVID-19) continues in several jurisdictions, causing substantial strain to health care systems. purpose our study was predict the effect COVID-19 pandemic on patient outcomes and use hospital resources Ontario, Canada. <h3>METHODS:</h3> We developed an individual-level simulation model flow patients with through system Ontario. simulated different combined scenarios epidemic trajectory capacity. Our included number who...
Chronic kidney disease (CKD) measures (estimated glomerular filtration rate [eGFR] and albuminuria) are frequently assessed in clinical practice improve the prediction of incident cardiovascular (CVD), yet most major guidelines do not have a standardized approach for incorporating these into CVD risk prediction. "CKD Patch" is validated method to calibrate predicted from established equations according CKD measures.Utilizing data 4,143,535 adults 35 datasets, we developed several Patches"...
The kidney failure risk equation (KFRE) uses age, sex, GFR, and urine albumin-to-creatinine ratio (ACR) to predict 2- 5-year of in populations with eGFR <60 ml/min per 1.73 m 2 . However, the CKD-EPI 2021 creatinine for is now recommended use but has not been fully tested context KFRE. In 59 cohorts comprising 312,424 patients CKD, authors assessed predictive performance calibration associated whether additional variables accounting competing death improves KFRE's performance. KFRE generally...
Sodium-glucose cotransporter-2 (SGLT2) inhibitors are cardioprotective agents in patients with type 2 diabetes mellitus and atherosclerotic cardiovascular disease (CVD). Since little is known about their uptake CVD, we examined SGLT2 inhibitor prescribing trends identified potential disparities patterns.We conducted an observational study using linked population-based health data Ontario, Canada, from April 2016 to March 2020 of aged 65 years or older concomitant CVD. To examine prevalent...