Maria C. Bennell
Sunnybrook Research Institute
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Publication
Featured researches published by Maria C. Bennell.
Circulation-cardiovascular Quality and Outcomes | 2016
Natalie Szpakowski; Maria C. Bennell; Feng Qiu; Dennis T. Ko; Jack V. Tu; Paul Kurdyak; Harindra C. Wijeysundera
Background—Depression is prevalent among patients with myocardial infarction and is associated with a worse prognosis. However, little is known about its importance in patients with chronic stable angina. We conducted a retrospective population-based cohort study to determine the occurrence and predictors of developing depression in patients with a new diagnosis of chronic stable angina. In addition, we sought to understand its impact on subsequent clinical outcomes. Methods and Results—Our cohort included patients in Ontario, Canada, with stable angina based on obstructive coronary artery disease found on angiogram. Depression was ascertained by physician billing codes and hospital admissions diagnostic codes. We first developed multivariable Cox proportional hazards models to determine predictors of developing depression. Clinical outcomes of interest included all-cause mortality, admission for myocardial infarction, and subsequent revascularization. Using hierarchical multivariable Cox proportional hazards models with occurrence of depression as a time-varying variable to control for potential immortal time bias, we evaluated the impact of depression on clinical outcomes. Our cohort consisted of 22u2009917 patients. The occurrence of depression after diagnosis of stable chronic angina was 18.8% over a mean follow-up of 1084 days. Predictors of depression included remote history of depression, female sex, and more symptomatic angina based on Canadian Cardiovascular Society class. Patients who developed depression had a higher risk of death (hazard ratio 1.83, 95% confidence interval 1.62–2.07) and admission for myocardial infarction (hazard ratio 1.36, 95% confidence interval 1.10–1.67) compared with nondepressed patients. Conclusions—Depression is common in patients with chronic stable angina and is associated with increased morbidity and mortality.
Medical Care | 2014
Harindra C. Wijeysundera; Peter C. Austin; Xuesong Wang; Maria C. Bennell; Lusine Abrahamyan; Dennis T. Ko; Jack V. Tu; Murray Krahn
Background:Although multidisciplinary heart failure (HF) clinics are efficacious, it is not known how patient factors or HF clinic structural indicators and process measures have an impact on the cumulative health care costs. Research Design:In this retrospective cohort study using administrative databases in Ontario, Canada, we identified 1216 HF patients discharged alive after an acute care hospitalization in 2006 and treated at a HF clinic. The primary outcome was the cumulative 1-year health care costs. A hierarchical generalized linear model with a logarithmic link and gamma distribution was developed to determine patient-level and clinic-level predictors of cost. Results:The mean 1-year cost was
Canadian Medical Association Journal | 2015
Maria C. Bennell; Feng Qiu; Kori J. Kingsbury; Peter C. Austin; Harindra C. Wijeysundera
27,809 (range,
Circulation-cardiovascular Quality and Outcomes | 2014
Harindra C. Wijeysundera; Feng Qiu; Maria C. Bennell; Madhu K. Natarajan; Warren J. Cantor; Stuart Smith; Kori J. Kingsbury; Dennis T. Ko
69 to
Canadian Journal of Cardiology | 2013
Wael Abuzeid; Emil L. Fosbøl; Philip Loldrup Fosbøl; Marie Fosbøl; Sanaz Zarinehbaf; Heather J. Ross; Dennis T. Ko; Maria C. Bennell; Harindra C. Wijeysundera
343,743). There was a 7-fold variation in the mean costs by clinic, from
Canadian Journal of Cardiology | 2014
Wael Abuzeid; Maria C. Bennell; Feng Qiu; Saleem Kassam; Christopher B. Overgaard; Neil Fam; Harindra C. Wijeysundera
14,670 to
ClinicoEconomics and Outcomes Research | 2014
Harindra C. Wijeysundera; Sara Farshchi-Zarabi; Maria C. Bennell
96,524. Delays in being seen at a HF clinic were a significant patient-level predictor of costs (rate ratio 1.0015 per day; P<0.001). Being treated at a clinic with >3 physicians was associated with lower costs (rate ratio 0.78; P=0.035). Unmeasured patient-level differences accounted for 97.4% of the between-patient variations in cost. The between-clinic variation in costs decreased by 16.3% when patient-level factors were accounted for; it decreased by a further 49.8% when clinic-level factors were added. Conclusions:From a policy perspective, the wide spectrum of HF clinic structure translates to inefficient care. Greater guidance as to the type of patient seen at a HF clinic, the timeliness of the initial visit, and the most appropriate structure of the HF clinics may potentially result in more cost-effective care.
Circulation-cardiovascular Interventions | 2016
Harindra C. Wijeysundera; Mandeep S. Sidhu; Maria C. Bennell; Feng Qiu; Dennis T. Ko; Merril L. Knudtson; Jack V. Tu; William E. Boden
Background: The ratio of revascularization to medical therapy (referred to herein as the revascularization ratio) for the initial treatment of stable ischemic heart disease varies considerably across hospitals. We conducted a comprehensive study to identify patient, physician and hospital factors associated with variations in the revascularization ratio across 18 cardiac centres in the province of Ontario. We also explored whether clinical outcomes differed between hospitals with high, medium and low ratios. Methods: We identified all patients in Ontario who had stable ischemic heart disease documented by index angiography performed between Oct. 1, 2008, and Sept. 30, 2011, at any of the 18 cardiac centres in the province. We classified patients by initial treatment strategy (medical therapy or revascularization). Hospitals were classified into equal tertiles based on their revascularization ratio. The primary outcome was all-cause mortality. Patient follow-up was until Dec. 31, 2012. Hierarchical logistic regression models identified predictors of revascularization. Multivariable Cox proportional hazards models, with a time-varying covariate for actual treatment received, were used to evaluate the impact of the revascularization ratio on clinical outcomes. Results: Variation in revascularization ratios was twofold across the hospitals. Patient factors accounted for 67.4% of the variation in revascularization ratios. Physician and hospital factors were not significantly associated with the variation. Significant patient-level predictors of revascularization were history of smoking, multivessel disease, high-risk findings on noninvasive stress testing and more severe symptoms of angina (v. no symptoms). Treatment at hospitals with a high revascularization ratio was associated with increased mortality compared with treatment at hospitals with a low ratio (hazard ratio 1.12, 95% confidence interval 1.03–1.21). Interpretation: Most of the variation in revascularization ratios across hospitals was warranted, in that it was driven by patient factors. Nonetheless, the variation was associated with potentially important differences in mortality.
CMAJ Open | 2016
Jaskaran S. Kang; Maria C. Bennell; Feng Qiu; Merril L. Knudtson; Peter C. Austin; Dennis T. Ko; Harindra C. Wijeysundera
Background—Wide variation exists in the detection rate of obstructive coronary artery disease (CAD) with elective coronary angiography for suspected stable ischemic heart disease. We sought to understand the incremental impact of nonclinical factors on this variation. Methods and Results—We included all patients who underwent coronary angiography for possible suspected stable ischemic heart disease, from October 1, 2008, to September 30, 2011, in Ontario, Canada. Nonclinical factors of interest included physician self-referral for angiography, the physician type (invasive or interventional), and hospital type. Hospitals were categorized into diagnostic angiogram only centers, stand-alone percutaneous coronary intervention centers, or full service centers with coronary artery bypass surgery available. Multivariable hierarchical logistic models were developed to identify system and physician-level predictors of obstructive CAD, after adjustment for patient factors. Our cohort consisted of 60 986 patients, of whom 31 726 had obstructive CAD (52.0%), with significant range across hospitals from 37.3% to 69.2%. Fewer self-referral patients (49.8%) had obstructive CAD compared with nonself-referral patients (53.5%), with an odds ratio of 0.89 (95% confidence interval, 0.86–0.93; P<0.001). Angiograms performed by invasive physicians had a lower likelihood of obstructive CAD compared with those by interventional physicians (48.2% versus 56.9%; odds ratio, 0.85; 95% confidence interval, 0.81–0.90; P<0.001). Fewer angiograms at diagnostic only centers showed obstructive CAD (42.0%) compared with full service centers (55.1%; odds ratio, 0.62; 95% confidence interval, 0.39–0.98; P=0.04). Nonclinical factors accounted for 23.8% of the variation between hospitals. Conclusions—Physician and system factors are important predictors of obstructive CAD with coronary angiography.
Archive | 2015
Soohun Chun; Feng Qiu; Peter C. Austin; Dennis T. Ko; Muhammad Mamdani; Duminda N. Wijeysundera; Andrew Czarnecki; Maria C. Bennell; Harindra C. Wijeysundera
The rate of conversion of abstracts presented at scientific meetings into peer-reviewed published manuscripts is an important metric for medical societies, because it facilitates translation of scientific knowledge into practice. We determined the rate and predictors of conversion of scientific abstracts presented at the Canadian Cardiovascular Congress (CCC) from 2006 to 2010 into peer-reviewed article publications within 2 years of their initial presentation. Using a previously validated computer algorithm, we searched the International Statistical Institute Web of Science to identify peer-reviewed full manuscript publications of these abstracts. A multivariable logistic regression was used to identify independent factors associated with successful publication. From 2006 to 2010, 3565 abstracts were presented at the CCC. Overall 24.1% of presented abstracts were published within 2 years of the conference. Mean impact factor for publications was 5.2 (range, 0.4-53.2). The type of presentation (for poster vs oral; odds ratio, 0.71; 95% confidence interval, 0.60-0.83; P < 0.001) and category of presentation (P < 0.001) were significantly associated with successful publication. Late breaking abstracts and those related to cancer and clinical sciences were more likely to be published, compared with prevention, vascular biology, and pediatrics. In conclusion, the publication rate at the CCC is only marginally lower than that reported for large international North American and European cardiology conferences (30.6%). Efforts should focus on several identified barriers to improve conversion of abstracts to full report publication.