The Experts below are selected from a list of 32406 Experts worldwide ranked by ideXlab platform

David L. Hayes - One of the best experts on this subject based on the ideXlab platform.

  • early detection of an underperforming implantable cardiovascular device using an automated safety Surveillance Tool
    Circulation-cardiovascular Quality and Outcomes, 2012
    Co-Authors: Robert G. Hauser, Andrew S. Mugglin, Paul A. Friedman, Daniel B. Kramer, Linda M. Kallinen, Deepa Mcgriff, David L. Hayes
    Abstract:

    Background—Postmarket medical device Surveillance in the United States depends largely on voluntary reporting of adverse events. Consequently, early safety signals may be missed, exposing patients to potentially hazardous products. The aim of this study was to assess the feasibility of using an automated safety Surveillance Tool to detect early signals that a marketed implantable cardiac device was underperforming. Methods and Results—For this purpose, we performed simulated prospective monthly full-cohort and propensity-matched comparative survival analyses on our 3-center database of Sprint Fidelis and Quattro Secure implantable cardioverter-defibrillator leads, using a commercially available automated Surveillance Tool that was preset to trigger an alert if the log rank probability value was <0.05. During the study, 84 of 1035 Fidelis (8.1%) and 23 of 1675 Quattro (1.4%) leads failed. The simulated full-cohort analysis triggered a sustained alert for Fidelis leads beginning 13 months after the first im...

  • Early Detection of an Underperforming Implantable Cardiovascular Device Using an Automated Safety Surveillance Tool
    Circulation: Cardiovascular Quality and Outcomes, 2012
    Co-Authors: Robert G. Hauser, Andrew S. Mugglin, Paul A. Friedman, Daniel B. Kramer, Linda M. Kallinen, Deepa Mcgriff, David L. Hayes
    Abstract:

    Background—Postmarket medical device Surveillance in the United States depends largely on voluntary reporting of adverse events. Consequently, early safety signals may be missed, exposing patients to potentially hazardous products. The aim of this study was to assess the feasibility of using an automated safety Surveillance Tool to detect early signals that a marketed implantable cardiac device was underperforming. Methods and Results—For this purpose, we performed simulated prospective monthly full-cohort and propensity-matched comparative survival analyses on our 3-center database of Sprint Fidelis and Quattro Secure implantable cardioverter-defibrillator leads, using a commercially available automated Surveillance Tool that was preset to trigger an alert if the log rank probability value was

Mary R Labbe - One of the best experts on this subject based on the ideXlab platform.

  • evaluating diet quality of canadian adults using health canada s Surveillance Tool tier system findings from the 2015 canadian community health survey nutrition
    Nutrients, 2020
    Co-Authors: Salma Hack, Mahsa Jessri, Mary R Labbe
    Abstract:

    The 2014 Health Canada’s Surveillance Tool, Tier System (HCST) is a nutrient profiling model developed to evaluate adherence of food choices to dietary recommendations. With the recent release of the nationally representative Canadian Community Health Survey-Nutrition (CCHS-N) 2015, this study used HCST to evaluate nutritional quality of the dietary intakes of Canadians in the CCHS-N. Dietary intakes were ascertained using 24-hour dietary recalls from Canadians adults ≥19 years (N = 13,605). Foods were categorized into four Tiers based on degree of adherence to dietary recommendations according to thresholds for sodium, total fat, saturated fats, and sugars. Tier 1 and Tier 2 represented “recommended foods”, Tier 3 represents foods to “choose less often”, and Tier 4 represented foods “not recommended”. Across all dietary reference intakes (DRI) groups, most foods were categorized as Tier 1 for Vegetable and Fruits (2.2–3.8 servings/day), Tier 2 for Grain Products (2.9–3.4 servings/day), Tier 3 for Milk and Alternatives (0.7–1 serving/day) or for Meat and Alternatives (1.1–1.6 servings/day). Consumption of foods from Tier 4 and “other foods” such as high fat/sugary foods, sugar-sweetened beverages, and alcohol, represented 24–26% and 21–23% kcal/day, for males and females, respectively. Canadians are eating more foods categorized as Tier 1–3, rather than Tier 4. Adults with the highest intakes of Tier 4 and “other foods” had lower intakes of macronutrients and increased body mass index. These findings can be used by policy makers to assist in identifying targets for food reformulation at the nutrient level and quantitative guidance to support healthy food choices.

Robert G. Hauser - One of the best experts on this subject based on the ideXlab platform.

  • early detection of an underperforming implantable cardiovascular device using an automated safety Surveillance Tool
    Circulation-cardiovascular Quality and Outcomes, 2012
    Co-Authors: Robert G. Hauser, Andrew S. Mugglin, Paul A. Friedman, Daniel B. Kramer, Linda M. Kallinen, Deepa Mcgriff, David L. Hayes
    Abstract:

    Background—Postmarket medical device Surveillance in the United States depends largely on voluntary reporting of adverse events. Consequently, early safety signals may be missed, exposing patients to potentially hazardous products. The aim of this study was to assess the feasibility of using an automated safety Surveillance Tool to detect early signals that a marketed implantable cardiac device was underperforming. Methods and Results—For this purpose, we performed simulated prospective monthly full-cohort and propensity-matched comparative survival analyses on our 3-center database of Sprint Fidelis and Quattro Secure implantable cardioverter-defibrillator leads, using a commercially available automated Surveillance Tool that was preset to trigger an alert if the log rank probability value was <0.05. During the study, 84 of 1035 Fidelis (8.1%) and 23 of 1675 Quattro (1.4%) leads failed. The simulated full-cohort analysis triggered a sustained alert for Fidelis leads beginning 13 months after the first im...

  • Early Detection of an Underperforming Implantable Cardiovascular Device Using an Automated Safety Surveillance Tool
    Circulation: Cardiovascular Quality and Outcomes, 2012
    Co-Authors: Robert G. Hauser, Andrew S. Mugglin, Paul A. Friedman, Daniel B. Kramer, Linda M. Kallinen, Deepa Mcgriff, David L. Hayes
    Abstract:

    Background—Postmarket medical device Surveillance in the United States depends largely on voluntary reporting of adverse events. Consequently, early safety signals may be missed, exposing patients to potentially hazardous products. The aim of this study was to assess the feasibility of using an automated safety Surveillance Tool to detect early signals that a marketed implantable cardiac device was underperforming. Methods and Results—For this purpose, we performed simulated prospective monthly full-cohort and propensity-matched comparative survival analyses on our 3-center database of Sprint Fidelis and Quattro Secure implantable cardioverter-defibrillator leads, using a commercially available automated Surveillance Tool that was preset to trigger an alert if the log rank probability value was

Salma Hack - One of the best experts on this subject based on the ideXlab platform.

  • evaluating diet quality of canadian adults using health canada s Surveillance Tool tier system findings from the 2015 canadian community health survey nutrition
    Nutrients, 2020
    Co-Authors: Salma Hack, Mahsa Jessri, Mary R Labbe
    Abstract:

    The 2014 Health Canada’s Surveillance Tool, Tier System (HCST) is a nutrient profiling model developed to evaluate adherence of food choices to dietary recommendations. With the recent release of the nationally representative Canadian Community Health Survey-Nutrition (CCHS-N) 2015, this study used HCST to evaluate nutritional quality of the dietary intakes of Canadians in the CCHS-N. Dietary intakes were ascertained using 24-hour dietary recalls from Canadians adults ≥19 years (N = 13,605). Foods were categorized into four Tiers based on degree of adherence to dietary recommendations according to thresholds for sodium, total fat, saturated fats, and sugars. Tier 1 and Tier 2 represented “recommended foods”, Tier 3 represents foods to “choose less often”, and Tier 4 represented foods “not recommended”. Across all dietary reference intakes (DRI) groups, most foods were categorized as Tier 1 for Vegetable and Fruits (2.2–3.8 servings/day), Tier 2 for Grain Products (2.9–3.4 servings/day), Tier 3 for Milk and Alternatives (0.7–1 serving/day) or for Meat and Alternatives (1.1–1.6 servings/day). Consumption of foods from Tier 4 and “other foods” such as high fat/sugary foods, sugar-sweetened beverages, and alcohol, represented 24–26% and 21–23% kcal/day, for males and females, respectively. Canadians are eating more foods categorized as Tier 1–3, rather than Tier 4. Adults with the highest intakes of Tier 4 and “other foods” had lower intakes of macronutrients and increased body mass index. These findings can be used by policy makers to assist in identifying targets for food reformulation at the nutrient level and quantitative guidance to support healthy food choices.

Paul A. Friedman - One of the best experts on this subject based on the ideXlab platform.

  • early detection of an underperforming implantable cardiovascular device using an automated safety Surveillance Tool
    Circulation-cardiovascular Quality and Outcomes, 2012
    Co-Authors: Robert G. Hauser, Andrew S. Mugglin, Paul A. Friedman, Daniel B. Kramer, Linda M. Kallinen, Deepa Mcgriff, David L. Hayes
    Abstract:

    Background—Postmarket medical device Surveillance in the United States depends largely on voluntary reporting of adverse events. Consequently, early safety signals may be missed, exposing patients to potentially hazardous products. The aim of this study was to assess the feasibility of using an automated safety Surveillance Tool to detect early signals that a marketed implantable cardiac device was underperforming. Methods and Results—For this purpose, we performed simulated prospective monthly full-cohort and propensity-matched comparative survival analyses on our 3-center database of Sprint Fidelis and Quattro Secure implantable cardioverter-defibrillator leads, using a commercially available automated Surveillance Tool that was preset to trigger an alert if the log rank probability value was <0.05. During the study, 84 of 1035 Fidelis (8.1%) and 23 of 1675 Quattro (1.4%) leads failed. The simulated full-cohort analysis triggered a sustained alert for Fidelis leads beginning 13 months after the first im...

  • Early Detection of an Underperforming Implantable Cardiovascular Device Using an Automated Safety Surveillance Tool
    Circulation: Cardiovascular Quality and Outcomes, 2012
    Co-Authors: Robert G. Hauser, Andrew S. Mugglin, Paul A. Friedman, Daniel B. Kramer, Linda M. Kallinen, Deepa Mcgriff, David L. Hayes
    Abstract:

    Background—Postmarket medical device Surveillance in the United States depends largely on voluntary reporting of adverse events. Consequently, early safety signals may be missed, exposing patients to potentially hazardous products. The aim of this study was to assess the feasibility of using an automated safety Surveillance Tool to detect early signals that a marketed implantable cardiac device was underperforming. Methods and Results—For this purpose, we performed simulated prospective monthly full-cohort and propensity-matched comparative survival analyses on our 3-center database of Sprint Fidelis and Quattro Secure implantable cardioverter-defibrillator leads, using a commercially available automated Surveillance Tool that was preset to trigger an alert if the log rank probability value was