Device-related patient outcomes for coronary stents: A MAUDE database analysis

The growing prevalence of coronary artery diseases in the US corresponds to the increasing use of minimally invasive techniques that require coronary stents. Although extensive research is available on the perioperative outcomes of the 3 stent options – bare-metal stents (BMS), drug-eluting stents (...

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Main Authors: Zihan Gao, Willie Lei, Eleanor Gao, Sujata Bhatia
Format: Article
Language:English
Published: Elsevier 2024-12-01
Series:Heliyon
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Online Access:http://www.sciencedirect.com/science/article/pii/S2405844024169393
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author Zihan Gao
Willie Lei
Eleanor Gao
Sujata Bhatia
author_facet Zihan Gao
Willie Lei
Eleanor Gao
Sujata Bhatia
author_sort Zihan Gao
collection DOAJ
description The growing prevalence of coronary artery diseases in the US corresponds to the increasing use of minimally invasive techniques that require coronary stents. Although extensive research is available on the perioperative outcomes of the 3 stent options – bare-metal stents (BMS), drug-eluting stents (DES), and bioresorbable drug-eluting stents (BVS), a knowledge gap exists in the longitudinal monitoring of patient outcomes due to device-related causes. Therefore, our study examines the device-related patient outcome and the relative performance for BMS, DES, and BVS. Data on 3 device outcomes (deaths, injuries, and malfunction) for each stent type was obtained from the January 2011 to February 2020 Manufacturer and User Facility Device Experience (MAUDE) database. Statistical visualizations and analysis were used to identify trends and significant differences between groups. Of a total of 68,618 adverse event reports, DES, BMS, and BVS each accounted for 88.5 %, 10.2 %, and 1.25 % of the cases, respectively. Device malfunctions were the most reported event (47.2 %), followed by injuries (44.1 %) and deaths (8.66 %). Over time, BMS malfunction rates showed a steady decrease (R = −0.87), while DES malfunction rates increased significantly (R = 0.79). An inversely proportional relationship between DES injuries and malfunctions was observed. The increase in DES malfunctions was 4 times greater than the decrease in BMS malfunctions. Approximately 7 % of reported adverse events were classified as misreported, with most involving DES. These results suggest 2 plausible interpretations: 1) reporting categorization for devices shifted from injuries to malfunction, and 2) stents choice is transitioning from BMS to DES. Our findings also highlight the need to improve reporting accuracy for MAUDE database data.
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spelling doaj-art-05afbaf943c8472688ebb834c0e93f4e2025-08-20T02:52:09ZengElsevierHeliyon2405-84402024-12-011024e4090810.1016/j.heliyon.2024.e40908Device-related patient outcomes for coronary stents: A MAUDE database analysisZihan Gao0Willie Lei1Eleanor Gao2Sujata Bhatia3David Geffen School of Medicine, University of California, Los Angeles, CA, United States; Corresponding author. David Geffen School of Medicine, University of California – Los Angeles, 885 Tiverton Drive, Los Angeles, CA, 90095, United States.University of Waterloo, Waterloo, ON, CanadaUniversity of Toronto, Toronto, ON, CanadaHarvard University, Cambridge, MA, United StatesThe growing prevalence of coronary artery diseases in the US corresponds to the increasing use of minimally invasive techniques that require coronary stents. Although extensive research is available on the perioperative outcomes of the 3 stent options – bare-metal stents (BMS), drug-eluting stents (DES), and bioresorbable drug-eluting stents (BVS), a knowledge gap exists in the longitudinal monitoring of patient outcomes due to device-related causes. Therefore, our study examines the device-related patient outcome and the relative performance for BMS, DES, and BVS. Data on 3 device outcomes (deaths, injuries, and malfunction) for each stent type was obtained from the January 2011 to February 2020 Manufacturer and User Facility Device Experience (MAUDE) database. Statistical visualizations and analysis were used to identify trends and significant differences between groups. Of a total of 68,618 adverse event reports, DES, BMS, and BVS each accounted for 88.5 %, 10.2 %, and 1.25 % of the cases, respectively. Device malfunctions were the most reported event (47.2 %), followed by injuries (44.1 %) and deaths (8.66 %). Over time, BMS malfunction rates showed a steady decrease (R = −0.87), while DES malfunction rates increased significantly (R = 0.79). An inversely proportional relationship between DES injuries and malfunctions was observed. The increase in DES malfunctions was 4 times greater than the decrease in BMS malfunctions. Approximately 7 % of reported adverse events were classified as misreported, with most involving DES. These results suggest 2 plausible interpretations: 1) reporting categorization for devices shifted from injuries to malfunction, and 2) stents choice is transitioning from BMS to DES. Our findings also highlight the need to improve reporting accuracy for MAUDE database data.http://www.sciencedirect.com/science/article/pii/S2405844024169393Coronary stentsMAUDE databasePopulation trends
spellingShingle Zihan Gao
Willie Lei
Eleanor Gao
Sujata Bhatia
Device-related patient outcomes for coronary stents: A MAUDE database analysis
Heliyon
Coronary stents
MAUDE database
Population trends
title Device-related patient outcomes for coronary stents: A MAUDE database analysis
title_full Device-related patient outcomes for coronary stents: A MAUDE database analysis
title_fullStr Device-related patient outcomes for coronary stents: A MAUDE database analysis
title_full_unstemmed Device-related patient outcomes for coronary stents: A MAUDE database analysis
title_short Device-related patient outcomes for coronary stents: A MAUDE database analysis
title_sort device related patient outcomes for coronary stents a maude database analysis
topic Coronary stents
MAUDE database
Population trends
url http://www.sciencedirect.com/science/article/pii/S2405844024169393
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AT eleanorgao devicerelatedpatientoutcomesforcoronarystentsamaudedatabaseanalysis
AT sujatabhatia devicerelatedpatientoutcomesforcoronarystentsamaudedatabaseanalysis