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2. Hospital‐Level Variation in Ticagrelor Use in Patients With Acute Coronary Syndrome

Author

Ozaki, Aya F, Jackevicius, Cynthia A, Chong, Alice, Sud, Maneesh, Fang, Jiming, Austin, Peter C, and Ko, Dennis T

Subjects
Biomedical and Clinical Sciences, Cardiovascular Medicine and Haematology, Cardiovascular, Heart Disease - Coronary Heart Disease, Clinical Research, Atherosclerosis, Heart Disease, Acute Coronary Syndrome, Aged, Cohort Studies, Female, Hospitals, Humans, Male, Ontario, Percutaneous Coronary Intervention, Platelet Aggregation Inhibitors, Prasugrel Hydrochloride, Ticagrelor, Treatment Outcome, United States, acute coronary syndrome, antiplatelet agents, hospital variation, outcomes research, quality of care, ticagrelor, Cardiorespiratory Medicine and Haematology, Cardiovascular medicine and haematology
Abstract

Background Despite improved outcomes associated with ticagrelor compared with clopidogrel in acute coronary syndrome (ACS), many studies have demonstrated slow adoption of ticagrelor in the United States because of its increased cost. Less is known about how ticagrelor is adopted when there is no added cost consideration. Our objectives were to determine patterns of use of ticagrelor, hospital-level adoption of ticagrelor use, and factors associated with its use after ACS in a publicly funded health care system. Methods and Results We conducted a population-based cohort study including patients (≥65 years) hospitalized with their first ACS from April 2014 to March 2018 in Ontario, Canada. We determined temporal trends in ticagrelor use and hospital-level adoption of its use post-ACS discharge. Using hierarchical regression models, we identified significant predictors of ticagrelor use. There were 23 962 patients with ACS (mean age 76.3 years, 59.7% men) hospitalized in 156 hospitals. Overall ticagrelor use increased from 32.6% in 2014/2015 to 51.8% in 2017/2018. There was substantial variation in ticagrelor use post-ACS across hospitals, with hospital-specific prescribing rates ranging from 0% to 83.6%. Lower odds of ticagrelor use was associated with advanced age and the presence of comorbidities. Besides patient factors, being admitted to a rurally located hospital more than halved the odds of being prescribed ticagrelor (odds ratio [OR], 0.49; 95% CI, 0.32-0.77). Being managed by a cardiologist during the index ACS hospitalization was associated with higher odds of having a ticagrelor prescription after ACS (OR, 2.80; 95% CI, 2.36-3.33). Conclusions Ticagrelor use rates varied substantially across hospitals and were strongly associated with physician and hospital factors independent of patient characteristics.

Published
2022

4. Association of Neighborhood-Level Marginalization With Health Care Use and Clinical Outcomes Following Hospital Discharge in Patients Who Underwent Coronary Catheterization for Acute Myocardial Infarction in a Single-Payer Health Care System

Author

Akioyamen, Leo E., Abdel-Qadir, Husam, Han, Lu, Sud, Maneesh, Mistry, Nikhil, Alter, David A., Atzema, Clare L., Austin, Peter C., Bhatia, R. Sacha, Booth, Gillian L., Dhalla, Irfan, Ha, Andrew C.T., Jackevicius, Cynthia A., Kapral, Moira K., Krumholz, Harlan M., Lee, Douglas S., McNaughton, Candace D., Roifman, Idan, Schull, Michael J., Sivaswamy, Atul, Tu, Karen, Udell, Jacob A., Wijeysundera, Harindra C., and Ko, Dennis T.

Published
2023
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12. Serum potassium and adverse outcomes across the range of kidney function: a CKD Prognosis Consortium meta-analysis.

Author

Kovesdy, Csaba P, Matsushita, Kunihiro, Sang, Yingying, Brunskill, Nigel J, Carrero, Juan J, Chodick, Gabriel, Hasegawa, Takeshi, Heerspink, Hiddo L, Hirayama, Atsushi, Landman, Gijs WD, Levin, Adeera, Nitsch, Dorothea, Wheeler, David C, Coresh, Josef, Hallan, Stein I, Shalev, Varda, Grams, Morgan E, Astor, Brad, Appel, Larry, Greene, Tom, Chen, Teresa, Chalmers, John, Woodward, Mark, Arima, Hisatomi, Perkovic, Vlado, Djurdjev, Ognjenka, Zhang, Luxia, Liu, Lisheng, Zhao, Minghui, Wang, Fang, Wang, Jinwei, Tang, Mila, Iso, Hiroyasu, Yamagishi, Kazumasa, Umesawa, Mitsumasa, Muraki, Isao, Fukagawa, Masafumi, Maruyama, Shoichi, Hamano, Takayuki, Fujii, Naohiko, Wheeler, David, Emberson, John, Townend, John, Landray, Martin, Green, Jamie, Kirchner, H Lester, Chang, Alex R, Cirillo, Massimo, Jee, Sun Ha, Kimm, Heejin, Mok, Yejin, Wetzels, Jack FM, Blankestijn, Peter J, van Zuilen, Arjan D, Bots, M, Sarnak, Mark, Inker, Lesley, Roderick, Paul, Fletcher, Astrid, Bottinger, Erwin, Nadkarni, Girish N, Ellis, Stephen B, Nadukuru, Rajiv, Brunskill, Nigel, Major, Rupert, Shepherd, David, Medcalf, James, Gansevoort, Ron T, Bakker, Stephan JL, Heerspink, Hiddo J Lambers, Jassal, Simerjot K, Bergstrom, Jaclyn, Ix, Joachim H, Barrett-Connor, Elizabeth, Kovesdy, Csaba, Kalantar-Zadeh, Kamyar, de Zeeuw, Dick, Brenner, Barry, Gasparini, Alessandro, Elinder, Carl-Gustaf, Barany, Peter, Evans, Marie, Segelmark, Mårten, Stendahl, Maria, Schön, Staffan, Tangri, Navdeep, Sud, Maneesh, Naimark, David, Wen, Chi-Pang, and Tsao, Chwen-Keng

Subjects
Kidney Disease, Prevention, Clinical Research, Evaluation of treatments and therapeutic interventions, 6.1 Pharmaceuticals, Renal and urogenital, Cardiovascular, Good Health and Well Being, Adult, Aged, Albuminuria, Cardiovascular Diseases, Cause of Death, Comorbidity, Glomerular Filtration Rate, Humans, Hyperkalemia, Hypokalemia, Kidney Failure, Chronic, Middle Aged, Prognosis, Renal Insufficiency, Chronic, Risk Factors, Potassium, Estimated glomerular filtration rate, End-stage renal disease, Mortality, CKD Prognosis Consortium, Cardiorespiratory Medicine and Haematology, Clinical Sciences, Cardiovascular System & Hematology
Abstract

AimsBoth hypo- and hyperkalaemia can have immediate deleterious physiological effects, and less is known about long-term risks. The objective was to determine the risks of all-cause mortality, cardiovascular mortality, and end-stage renal disease associated with potassium levels across the range of kidney function and evaluate for consistency across cohorts in a global consortium.Methods and resultsWe performed an individual-level data meta-analysis of 27 international cohorts [10 general population, 7 high cardiovascular risk, and 10 chronic kidney disease (CKD)] in the CKD Prognosis Consortium. We used Cox regression followed by random-effects meta-analysis to assess the relationship between baseline potassium and adverse outcomes, adjusted for demographic and clinical characteristics, overall and across strata of estimated glomerular filtration rate (eGFR) and albuminuria. We included 1 217 986 participants followed up for a mean of 6.9 years. The average age was 55 ± 16 years, average eGFR was 83 ± 23 mL/min/1.73 m2, and 17% had moderate- to-severe increased albuminuria levels. The mean baseline potassium was 4.2 ± 0.4 mmol/L. The risk of serum potassium of >5.5 mmol/L was related to lower eGFR and higher albuminuria. The risk relationship between potassium levels and adverse outcomes was U-shaped, with the lowest risk at serum potassium of 4-4.5 mmol/L. Compared with a reference of 4.2 mmol/L, the adjusted hazard ratio for all-cause mortality was 1.22 [95% confidence interval (CI) 1.15-1.29] at 5.5 mmol/L and 1.49 (95% CI 1.26-1.76) at 3.0 mmol/L. Risks were similar by eGFR, albuminuria, renin-angiotensin-aldosterone system inhibitor use, and across cohorts.ConclusionsOutpatient potassium levels both above and below the normal range are consistently associated with adverse outcomes, with similar risk relationships across eGFR and albuminuria.

Published
2018

13. Implications of Five Different Risk Models In Primary Prevention Guidelines

Author

Sud, Maneesh, primary, Sivaswamy, Atul, additional, Austin, Peter C, additional, Abdel-Qadir, Husam, additional, Anderson, Todd J, additional, Naimark, David M J, additional, Lee, Douglas S, additional, Roifman, Idan, additional, Thanassoulis, George, additional, Tu, Karen, additional, Wijeysundera, Harindra C, additional, and Ko, Dennis T, additional

Published
2024
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14. Transcatheter Aortic Valve Implantation Wait‐Time Management: Derivation and Validation of the Canadian TAVI Triage Tool (CAN3T)

Author

Miranda, Rafael N., primary, Qiu, Feng, additional, Manoragavan, Ragavie, additional, Austin, Peter C., additional, Naimark, David M. J., additional, Fremes, Stephen E., additional, Ko, Dennis T., additional, Madan, Mina, additional, Mamas, Mamas A., additional, Sud, Maneesh K., additional, Tam, Derrick, additional, and Wijeysundera, Harindra C., additional

Published
2024
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15. Measures of chronic kidney disease and risk of incident peripheral artery disease: a collaborative meta-analysis of individual participant data

Author

Matsushita, Kunihiro, Ballew, Shoshana H, Coresh, Josef, Arima, Hisatomi, Ärnlöv, Johan, Cirillo, Massimo, Ebert, Natalie, Hiramoto, Jade S, Kimm, Heejin, Shlipak, Michael G, Visseren, Frank LJ, Gansevoort, Ron T, Kovesdy, Csaba P, Shalev, Varda, Woodward, Mark, Kronenberg, Florian, Chalmers, John, Perkovic, Vlado, Grams, Morgan E, Sang, Yingying, Schaeffner, Elke, Martus, Peter, Levin, Adeera, Djurdjev, Ognjenka, Tang, Mila, Heine, Gunnar, Seiler, Sarah, Zawada, Adam, Emrich, Insa, Sarnak, Mark, Katz, Ronit, Brenner, Hermann, Schöttker, Ben, Rothenbacher, Dietrich, Saum, Kai-Uwe, Köttgen, Anna, Schneider, Markus, Eckardt, Kai-Uwe, Green, Jamie, Kirchner, H Lester, Chang, Alex R, Black, Corri, Marks, Angharad, Prescott, Gordon, Clark, Laura, Fluck, Nick, Jee, Sun Ha, Mok, Yejin, Chodick, Gabriel, Wetzels, Jack FM, Blankestijn, Peter J, van Zuilen, Arjan D, Bots, M, Peralta, Carmen, Hiromoto, Jade, Bottinger, Erwin, Nadkarni, Girish N, Ellis, Stephen B, Nadukuru, Rajiv, Kenealy, Timothy, Elley, C Raina, Collins, John F, Drury, Paul L, Bakker, Stephan JL, Heerspink, Hiddo J Lambers, Jassal, Simerjot K, Bergstrom, Jaclyn, Ix, Joachim H, Barrett-Connor, Elizabeth, Kalantar-Zadeh, Kamyar, Carrero, Juan J, Gasparini, Alessandro, Qureshi, Abdul Rashid, Barany, Peter, Algra, Ale, van der Graaf, Yolanda, Evans, Marie, Segelmark, Mårten, Stendahl, Maria, Schön, Staffan, Tangri, Navdeep, Sud, Maneesh, Naimark, David, Lannfelt, Lars, Larsson, Anders, Hallan, Stein, Levey, Andrew S, Chen, Jingsha, and Kwak, Lucia

Subjects
Clinical Research, Kidney Disease, Prevention, Renal and urogenital, Good Health and Well Being, Adult, Aged, Albuminuria, Creatinine, Databases, Factual, Female, Glomerular Filtration Rate, Humans, Incidence, Male, Middle Aged, Peripheral Arterial Disease, Renal Insufficiency, Chronic, Risk Factors, Chronic Kidney Disease Prognosis Consortium, Medical Biochemistry and Metabolomics, Clinical Sciences, Public Health and Health Services
Abstract

BackgroundSome evidence suggests that chronic kidney disease is a risk factor for lower-extremity peripheral artery disease. We aimed to quantify the independent and joint associations of two measures of chronic kidney disease (estimated glomerular filtration rate [eGFR] and albuminuria) with the incidence of peripheral artery disease.MethodsIn this collaborative meta-analysis of international cohorts included in the Chronic Kidney Disease Prognosis Consortium (baseline measurements obtained between 1972 and 2014) with baseline measurements of eGFR and albuminuria, at least 1000 participants (this criterion not applied to cohorts exclusively enrolling patients with chronic kidney disease), and at least 50 peripheral artery disease events, we analysed adult participants without peripheral artery disease at baseline at the individual patient level with Cox proportional hazards models to quantify associations of creatinine-based eGFR, urine albumin-to-creatinine ratio (ACR), and dipstick proteinuria with the incidence of peripheral artery disease (including hospitalisation with a diagnosis of peripheral artery disease, intermittent claudication, leg revascularisation, and leg amputation). We assessed discrimination improvement through c-statistics.FindingsWe analysed 817 084 individuals without a history of peripheral artery disease at baseline from 21 cohorts. 18 261 cases of peripheral artery disease were recorded during follow-up across cohorts (median follow-up was 7·4 years [IQR 5·7-8·9], range 2·0-15·8 years across cohorts). Both chronic kidney disease measures were independently associated with the incidence of peripheral artery disease. Compared with an eGFR of 95 mL/min per 1·73 m2, adjusted hazard ratios (HRs) for incident study-specific peripheral artery disease was 1·22 (95% CI 1·14-1·30) at an eGFR of 45 mL/min per 1·73 m2 and 2·06 (1·70-2·48) at an eGFR of 15 mL/min per 1·73 m2. Compared with an ACR of 5 mg/g, the adjusted HR for incident study-specific peripheral artery disease was 1·50 (1·41-1·59) at an ACR of 30 mg/g and 2·28 (2·12-2·44) at an ACR of 300 mg/g. The adjusted HR at an ACR of 300 mg/g versus 5 mg/g was 3·68 (95% CI 3·00-4·52) for leg amputation. eGFR and albuminuria contributed multiplicatively (eg, adjusted HR 5·76 [4·90-6·77] for incident peripheral artery disease and 10·61 [5·70-19·77] for amputation in eGFR

Published
2017

22. Development and Validation of the CANHEART Population-Based Laboratory Prediction Models for Atherosclerotic Cardiovascular Disease

Author

Sud, Maneesh, primary, Sivaswamy, Atul, additional, Austin, Peter C., additional, Anderson, Todd J., additional, Naimark, David M.J., additional, Farkouh, Michael E., additional, Lee, Douglas S., additional, Roifman, Idan, additional, Thanassoulis, George, additional, Tu, Karen, additional, Udell, Jacob A., additional, Wijeysundera, Harindra C., additional, and Ko, Dennis T., additional

Published
2023
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24. Change in albuminuria and subsequent risk of end-stage kidney disease: an individual participant-level consortium meta-analysis of observational studies

Author

Appel, Lawrence J, Greene, Tom, Chen, Teresa K, Chalmers, John, Arima, Hisatomi, Perkovic, Vlado, Levin, Adeera, Djurdjev, Ognjenka, Tang, Mila, Nally, Joseph, Navaneethan, Sankar D, Schold, Jesse D, Weldegiorgis, Misghina, Herrington, William G, Smith, Margaret, Hsu, C Yenchih, Hwang, Shih-Jen, Chang, Alex R, Kirchner, H. Lester, Green, Jamie A, Ho, Kevin, Marks, Angharad, Prescott, Gordon, Clark, Laura E, Fluck, Nick, Shalev, Varda, Chodick, Gabriel, Blankestijn, Peter J, Van Zuilen, Arjan, Van den Brand, Jan A, Sarnak, Mark J, Bottinger, Erwin, Nadkarni, Girish N, Ellis, Stephen G, Nadukuru, Rajiv, Metzger, Marie, Flamant, Martin, Houillier, Pascal, Haymann, Jean-Philippe, Froissart, Marc, Kenealy, Timothy, Elley, Raina C, Collins, John F, Drury, Paul L, Cuddeback, John K, Ciemins, Elizabeth L, Stempniewicz, Rich, Nelson, Robert G, Knowler, William C, Bakker, Stephen J, Major, Rupert W, Medcalf, James F, Shepherd, David, Barrett-Connor, Elizabeth, Bergstrom, Jaclyn, Ix, Joachim H, Molnar, Miklos Z, Sumida, Keiichi, de Zeeuw, Dick, Brenner, Barry, Qureshi, Abdul R, Elinder, Carl-Gustaf, Runesson, Bjorn, Evans, Marie, Segelmark, Marten, Stendahl, Maria, Schön, Staffan, Naimark, David M, Tangri, Navdeep, Sud, Maneesh, Hirayama, Atsushi, Ichikawa, Kazunobu, Bilo, Henk JG, Landman, Gijs WD, Van Hateren, Kornelis JJ, Kleefstra, Nanne, Hallan, Stein I, Ballew, Shoshana H, Chen, Jingsha, Kwak, Lucia, Surapaneni, Aditya, Parving, Hans-Henrik, Rodby, Roger A., Rohde, Richard D, Lewis, Julia B, Lewis, Edmund, Perrone, Ronald D, Abebe, Kaleab Z, Hou, Fan F, Xie, Di, Hunsicker, Lawrence G, Imai, Enyu, Kobayashi, Fumiaki, Makino, Hirofumi, Ito, Sadayoshi, Remuzzi, Giuseppe, Ruggenenti, Piero, Eckardt, Kai-Uwe, Gudmundsdottir, Hrefna, Maciulaitis, Romaldas, Manley, Tom, Smith, Kimberly, Stockbridge, Norman, Thompson, Aliza, Vetter, Thorsten, Willis, Kerry, Zhang, Luxia, Coresh, Josef, Heerspink, Hiddo J L, Sang, Yingying, Matsushita, Kunihiro, Arnlov, Johan, Astor, Brad C, Black, Corri, Brunskill, Nigel J, Carrero, Juan-Jesus, Feldman, Harold I, Fox, Caroline S, Inker, Lesley A, Ishani, Areef, Jassal, Simerjot, Konta, Tsuneo, Polkinghorne, Kevan, Romundstad, Solfrid, Solbu, Marit D, Stempniewicz, Nikita, Stengel, Benedicte, Tonelli, Marcello, Umesawa, Mitsumasa, Waikar, Sushrut S, Wen, Chi-Pang, Wetzels, Jack F M, Woodward, Mark, Grams, Morgan E, Kovesdy, Csaba P, Levey, Andrew S, and Gansevoort, Ron T

Published
2019
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26. Validation of the European SCORE2 Models in a Canadian Primary Care Cohort

Author

Sud, Maneesh, primary, Sivaswamy, Atul, additional, Austin, Peter C, additional, Abdel-Qadir, Husam, additional, Anderson, Todd J, additional, Khera, Rohan, additional, Naimark, David M J, additional, Lee, Douglas S, additional, Roifman, Idan, additional, Thanassoulis, George, additional, Tu, Karen, additional, Wijeysundera, Harindra C, additional, and Ko, Dennis T, additional

Published
2023
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30. Measures of chronic kidney disease and risk of incident peripheral artery disease: a collaborative meta-analysis of individual participant data

Author

Chalmers, John, Arima, Hisatomi, Perkovic, Vlado, Grams, Morgan E., Sang, Yingying, Schaeffner, Elke, Martus, Peter, Levin, Adeera, Djurdjev, Ognjenka, Tang, Mila, Heine, Gunnar, Seiler, Sarah, Zawada, Adam, Emrich, Insa, Sarnak, Mark, Katz, Ronit, Brenner, Hermann, Schöttker, Ben, Rothenbacher, Dietrich, Saum, Kai-Uwe, Köttgen, Anna, Schneider, Markus, Eckardt, Kai-Uwe, Green, Jamie, Kirchner, H Lester, Chang, Alex R, Black, Corri, Marks, Angharad, Prescott, Gordon, Clark, Laura, Fluck, Nick, Jee, Sun Ha, Mok, Yejin, Chodick, Gabriel, Shalev, Varda, Wetzels, Jack F.M., Blankestijn, Peter J, van Zuilen, Arjan D, Bots, M, Peralta, Carmen, Hiromoto, Jade, Bottinger, Erwin, Nadkarni, Girish N, Ellis, Stephen B, Nadukuru, Rajiv, Kenealy, Timothy, Elley, C Raina, Collins, John F, Drury, Paul L, Bakker, Stephan JL, Heerspink, Hiddo J Lambers, Jassal, Simerjot K, Bergstrom, Jaclyn, Ix, Joachim H, Barrett-Connor, Elizabeth, Kalantar-Zadeh, Kamyar, Carrero, Juan J, Gasparini, Alessandro, Qureshi, Abdul Rashid, Barany, Peter, Algra, Ale, van der Graaf, Yolanda, Evans, Marie, Segelmark, Mårten, Stendahl, Maria, Schön, Staffan, Tangri, Navdeep, Sud, Maneesh, Naimark, David, Lannfelt, Lars, Larsson, Anders, Hallan, Stein, Levey, Andrew S, Chen, Jingsha, Kwak, Lucia, Matsushita, Kunihiro, Ballew, Shoshana H, Coresh, Josef, Ärnlöv, Johan, Cirillo, Massimo, Ebert, Natalie, Hiramoto, Jade S, Kimm, Heejin, Shlipak, Michael G, Visseren, Frank L J, Gansevoort, Ron T, Kovesdy, Csaba P, Woodward, Mark, and Kronenberg, Florian

Published
2017
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32. Trajectories of P2Y12 inhibitor adherence in patients with acute coronary syndromes.

Author

Moon, Jungyeon, Ozaki, Aya F., Chong, Alice, Sud, Maneesh, Fang, Jiming, Austin, Peter C., Ko, Dennis T., and Jackevicius, Cynthia A.

Abstract

Purpose: P2Y12 inhibitors (P2Y12i) reduce cardiac events after acute coronary syndromes (ACS). However, suboptimal P2Y12i adherence persists. We aimed to examine P2Y12i non‐adherence using group‐based trajectory methods and to identify adherence predictors. Methods: We conducted a population‐based, retrospective cohort study using administrative data in Ontario, Canada of patients ≥65 years admitted for ACS between April 2014 and March 2018 with a P2Y12i dispensed within 7 days of discharge. We used group‐based trajectory models to characterize longitudinal 1‐year adherence patterns. Predictors associated with each adherence trajectory were identified by multinomial logistic regression. Results: We included 11 917 patients using clopidogrel and 9763 using ticagrelor, aged [mean ± SD]: 77.33 ± 8.31/73.59 ± 6.79 years; men: 56.2%/65.4%, respectively. We identified 3 longitudinal adherence trajectories, that differed by agent: 75% of clopidogrel and 68% of ticagrelor patients showed a consistently adherent trajectory, while 13%/17% were gradually, and 12%/15% were rapidly non‐adherent, respectively (p < 0.001). Differing baseline characteristics in each cohort were associated with observed adherence trajectories. Concomitant atrial fibrillation and prior bleeding history were associated with non‐adherence among clopidogrel users. Among ticagrelor users, women and older persons were more likely to be rapidly non‐adherent, adherence declining steeply starting 1 month post‐ACS. Conclusions: We identified distinct adherence trajectories for clopidogrel and ticagrelor post‐ACS, with 3 out of 4 clopidogrel patients but only 2 out of 3 ticagrelor patients in the consistently adherent trajectory. Intensive interventions targeted to the period of steep adherence decline post‐ACS, particularly for women and older persons initiating ticagrelor, and patients with atrial fibrillation on clopidogrel should be considered and investigated further. [ABSTRACT FROM AUTHOR]

Published
2024
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36. MULTIVESSEL REVASCULARIZATION IN PATIENTS WITH DIABETES AND ACUTE CORONARY SYNDROMES

Author

Godoy, Lucas Colombo, primary, Ko, Dennis T., additional, Austin, Peter, additional, Shah, Baiju, additional, Qiu, Feng, additional, Sud, Maneesh, additional, Nicolau, Jose C., additional, Sun, Louise, additional, Fremes, Stephen E., additional, Rocha, Rodolfo, additional, Tam, Derrick, additional, Humphries, Karin, additional, Lawler, Patrick R., additional, Wijeysundera, Harindra, additional, Gaudino, Mario F.L., additional, and Farkouh, Michael E., additional

Published
2023
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39. Prevalence and Treatment of Familial Hypercholesterolemia and Severe Hypercholesterolemia in Older Adults in Ontario, Canada

Author

Akioyamen, Leo E., primary, Chu, Anna, additional, Genest, Jacques, additional, Lee, Douglas S., additional, Abdel-Qadir, Husam, additional, Jackevicius, Cynthia A., additional, Lawler, Patrick R., additional, Sud, Maneesh, additional, Udell, Jacob A., additional, Wijeysundera, Harindra C., additional, and Ko, Dennis T., additional

Published
2022
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44. IMPLICATIONS OF POPULATION-BASED RECALIBRATION OF THE FRAMINGHAM RISK SCORE AND POOLED COHORT EQUATIONS IN ONTARIO, CANADA

Author

Sud, Maneesh, primary, Sivaswamy, Atul, additional, Chu, Anna, additional, Austin, Peter, additional, Anderson, Todd, additional, Farkouh, Michael E., additional, Lee, Douglas, additional, Naimark, David, additional, Roifman, Idan, additional, Thanassoulis, George, additional, Tu, Karen, additional, Udell, Jay, additional, Wijeysundera, Harindra, additional, and Ko, Dennis T., additional

Published
2022
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