Search

Your search keyword '"Naimark, David M.J."' showing total 31 results
Start Over Author "Naimark, David M.J."
31 results on '"Naimark, David M.J."'

3. 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
Full Text
View/download PDF

4. Estimation de l'epuisement des ressources hospitalieres attribuable a la COVID-19 en Ontario, au Canada

Author

Barrett, Kali, Khan, Yasin A., Mac, Stephen, Ximenes, Raphael, Naimark, David M.J., and Sander, Beate

Subjects
Hospital beds -- Supply and demand -- Forecasts and trends, Coronaviruses, Health policy, Emergency medical services -- Supply and demand -- Forecasts and trends, COVID-19 -- Statistics -- Forecasts and trends, Public health administration, Market trend/market analysis, Health
Abstract

CONTEXTE : La propagation a l'echelle planetaire de la maladie a coronavirus 2019 (COVID-2019) se poursuit dans plusieurs pays, mettant a rude epreuve les systemes de sante. Cette etude avait pour but de predire les repercussions de la pandemie sur les issues des patients et l'utilisation des ressources hospitalieres en Ontario (Canada). METHODES : Nous avons conqu un modele de simulation axe sur les personnes illustrant le flux de patients atteints de la COVID-19 dans les hopitaux ontariens. Nous avons simule diverses combinaisons de trajectoires epidemiques et de capacites de soins hospitaliers. Les parametres a l'etude etaient le nombre de patients devant etre admis au service d'hospitalisation ou a l'unite des soins intensifs (USI)--avec ou sans respirateur mecanique--, le nombre de jours jusqu'a l'epuisement des ressources, le nombre de patients en attente de ressources et le nombre de deces. RESULTATS : Nous avons constate que la mise en place rapide de mesures de sante publique efficaces eviterait l'epuisement des ressources hospitalieres. Les simulations dans lesquelles les mesures d'eloignement sanitaire etaient inefficaces ou adoptees tardivement ont montre que l'epuisement des ressources prendrait de 14 a 26 jours et qu'il y aurait, dans le pire des cas, 13321 deces de personnes en attente de ressources. Cet epuisement pourrait etre evite ou retarde par la mise en place de mesures rigoureuses visant a ameliorer la capacite des hopitaux en matiere de soins intensifs, de respirateurs mecaniques et de soins hospitaliers. INTERPRETATION : Sans l'adoption de mesures d'eloignement sanitaire rigoureuses, le systeme de sante ontarien n'aurait pas eu les ressources necessaires pour prendre en charge le nombre attendu de patients atteints de la COVID-19, meme en cas d'augmentation rapide de sa capacite hospitaliere. Les penuries auraient fait augmenter le taux de mortalite. En ralentissant la transmission de la maladie par la mise en place de mesures de sante publique et l'augmentation de la capacite des hopitaux, l'Ontario a probablement evite que ces derniers subissent une pression catastrophique., Le 11 mars 2020, l'Organisation mondiale de la Sante (OMS) a declare que la propagation mondiale du coronavirus du syndrome respiratoire aigu severe 2 (SRAS-CoV-2) et de la maladie qu'il [...]

Published
2020
Full Text
View/download PDF

5. Estimation of COVID-19-induced depletion of hospital resources in Ontario, Canada

Author

Barrett, Kali, Khan, Yasin A., Mac, Stephen, Ximenes, Raphael, Naimark, David M.J., and Sander, Beate

Subjects
Mortality -- Canada -- Ontario, Hospital patients -- Prognosis, Disease transmission -- Prognosis, Coronaviruses -- Analysis -- Usage, COVID-19 -- Prognosis, Health
Abstract

BACKGROUND: The global spread of coronavirus disease 2019 (COVID-19) continues in several jurisdictions, causing substantial strain to health care systems. The purpose of our study was to predict the effect of the COVID-19 pandemic on patient outcomes and use of hospital resources in Ontario, Canada. METHODS: We developed an individual-level simulation to model the flow of patients with COVID-19 through the hospital system in Ontario. We simulated different combined scenarios of epidemic trajectory and hospital health care capacity. Our outcomes included the number of patients who needed admission to the ward or to the intensive care unit (ICU) with or without the need for mechanical ventilation, number of days to resource depletion, number of patients awaiting resources and number of deaths. RESULTS: We found that with effective early public health measures, hospital system resources would not be depleted. For scenarios with late or ineffective implementation of physical distancing, hospital resources would be depleted within 14-26 days, and in the worst case scenario, 13 321 patients would die while waiting for needed resources. Resource depletion would be avoided or delayed with aggressive measures to increase ICU, ventilator and acute care hospital capacities. INTERPRETATION: We found that without aggressive physical distancing measures, the Ontario hospital system would have been inadequately equipped to manage the expected number of patients with COVID-19 despite a rapid increase in capacity. This lack of hospital resources would have led to an increase in mortality. By slowing the spread of the disease using public health measures and by increasing hospital capacity, Ontario may have avoided catastrophic stresses to its hospitals., The global spread of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and the resulting clinical syndrome, coronavirus disease 2019 (COVID-19), was declared a pandemic on Mar. 11, 2020. (1,2) As [...]

Published
2020
Full Text
View/download PDF

7. Major cardiovascular events and subsequent risk of kidney failure with replacement therapy: a CKD Prognosis Consortium study

Author

Interne Geneeskunde Vasculaire, Circulatory Health, Mark, Patrick B., Carrero, Juan J., Matsushita, Kunihiro, Sang, Yingying, Ballew, Shoshana H., Grams, Morgan E., Coresh, Josef, Surapaneni, Aditya, Brunskill, Nigel J., Chalmers, John, Chan, Lili, Chang, Alex R., Chinnadurai, Rajkumar, Chodick, Gabriel, Cirillo, Massimo, De Zeeuw, Dick, Evans, Marie, Garg, Amit X., Gutierrez, Orlando M., Heerspink, Hiddo J.L., Heine, Gunnar H., Herrington, William G., Ishigami, Junichi, Kronenberg, Florian, Lee, Jun Young, Levin, Adeera, Major, Rupert W., Marks, Angharad, Nadkarni, Girish N., Naimark, David M.J., Nowak, Christoph, Rahman, Mahboob, Sabanayagam, Charumathi, Sarnak, Mark, Sawhney, Simon, Schneider, Markus P., Shalev, Varda, Shin, Jung Im, Siddiqui, Moneeza K., Stempniewicz, Nikita, Sumida, Keiichi, Valdivielso, Jose M., Van Den Brand, Jan, Yee-Moon Wang, Angela, Wheeler, David C., Zhang, Lihua, Visseren, Frank L.J., Stengel, Benedicte, Interne Geneeskunde Vasculaire, Circulatory Health, Mark, Patrick B., Carrero, Juan J., Matsushita, Kunihiro, Sang, Yingying, Ballew, Shoshana H., Grams, Morgan E., Coresh, Josef, Surapaneni, Aditya, Brunskill, Nigel J., Chalmers, John, Chan, Lili, Chang, Alex R., Chinnadurai, Rajkumar, Chodick, Gabriel, Cirillo, Massimo, De Zeeuw, Dick, Evans, Marie, Garg, Amit X., Gutierrez, Orlando M., Heerspink, Hiddo J.L., Heine, Gunnar H., Herrington, William G., Ishigami, Junichi, Kronenberg, Florian, Lee, Jun Young, Levin, Adeera, Major, Rupert W., Marks, Angharad, Nadkarni, Girish N., Naimark, David M.J., Nowak, Christoph, Rahman, Mahboob, Sabanayagam, Charumathi, Sarnak, Mark, Sawhney, Simon, Schneider, Markus P., Shalev, Varda, Shin, Jung Im, Siddiqui, Moneeza K., Stempniewicz, Nikita, Sumida, Keiichi, Valdivielso, Jose M., Van Den Brand, Jan, Yee-Moon Wang, Angela, Wheeler, David C., Zhang, Lihua, Visseren, Frank L.J., and Stengel, Benedicte

Published
2023

8. The Kidney Failure Risk Equation: Evaluation of Novel Input Variables including eGFR Estimated Using the CKD-EPI 2021 Equation in 59 Cohorts

Author

Grams, Morgan E., primary, Brunskill, Nigel J., additional, Ballew, Shoshana H., additional, Sang, Yingying, additional, Coresh, Josef, additional, Matsushita, Kunihiro, additional, Surapaneni, Aditya, additional, Bell, Samira, additional, Carrero, Juan J., additional, Chodick, Gabriel, additional, Evans, Marie, additional, Heerspink, Hiddo J.L., additional, Inker, Lesley A., additional, Iseki, Kunitoshi, additional, Kalra, Philip A., additional, Kirchner, H. Lester, additional, Lee, Brian J., additional, Levin, Adeera, additional, Major, Rupert W., additional, Medcalf, James, additional, Nadkarni, Girish N., additional, Naimark, David M.J., additional, Ricardo, Ana C., additional, Sawhney, Simon, additional, Sood, Manish M., additional, Staplin, Natalie, additional, Stempniewicz, Nikita, additional, Stengel, Benedicte, additional, Sumida, Keiichi, additional, Traynor, Jamie P., additional, van den Brand, Jan, additional, Wen, Chi-Pang, additional, Woodward, Mark, additional, Yang, Jae Won, additional, Wang, Angela Yee-Moon, additional, and Tangri, Navdeep, additional

Published
2023
Full Text
View/download PDF

19. Conversion of Urine Protein–Creatinine Ratio or Urine Dipstick Protein to Urine Albumin–Creatinine Ratio for Use in Chronic Kidney Disease Screening and Prognosis

Author

Sumida, Keiichi, primary, Nadkarni, Girish N., additional, Grams, Morgan E., additional, Sang, Yingying, additional, Ballew, Shoshana H., additional, Coresh, Josef, additional, Matsushita, Kunihiro, additional, Surapaneni, Aditya, additional, Brunskill, Nigel, additional, Chadban, Steve J., additional, Chang, Alex R., additional, Cirillo, Massimo, additional, Daratha, Kenn B., additional, Gansevoort, Ron T., additional, Garg, Amit X., additional, Iacoviello, Licia, additional, Kayama, Takamasa, additional, Konta, Tsuneo, additional, Kovesdy, Csaba P., additional, Lash, James, additional, Lee, Brian J., additional, Major, Rupert W., additional, Metzger, Marie, additional, Miura, Katsuyuki, additional, Naimark, David M.J., additional, Nelson, Robert G., additional, Sawhney, Simon, additional, Stempniewicz, Nikita, additional, Tang, Mila, additional, Townsend, Raymond R., additional, Traynor, Jamie P., additional, Valdivielso, José M., additional, Wetzels, Jack, additional, Polkinghorne, Kevan R., additional, and Heerspink, Hiddo J.L., additional

Published
2020
Full Text
View/download PDF

Catalog

Books, media, physical & digital resources
See catalog results