Literature DB >> 26961369

Multi-Center, Community-Based Cardiac Implantable Electronic Devices Registry: Population, Device Utilization, and Outcomes.

Nigel Gupta1, Mary Lou Kiley2, Faith Anthony2, Charlie Young3, Somjot Brar4, Kevin Kwaku5.   

Abstract

BACKGROUND: The purpose of this study is to describe key elements, clinical outcomes, and potential uses of the Kaiser Permanente-Cardiac Device Registry. METHODS AND
RESULTS: This is a cohort study of implantable cardioverter defibrillators (ICD), pacemakers (PM), and cardiac resynchronization therapy (CRT) devices implanted between January 1, 2007 and December 31, 2013 by ≈400 physicians in 6 US geographical regions. Registry data variables, including patient characteristics, comorbidities, indication for procedures, complications, and revisions, were captured using the healthcare system's electronic medical record. Outcomes were identified using electronic screening algorithms and adjudicated via chart review. There were 11 924 ICDs, 33 519 PMs, 4472 CRTs, and 66 067 leads registered. A higher proportion of devices were implanted in males: 75.1% (ICD), 55.0% (PM), and 66.7% (CRT), with mean patient age 63.2 years (ICD), 75.2 (PM), and 67.2 (CRT). The 30-day postoperative incidence of tamponade, hematoma, and pneumothorax were ≤0.3% (ICD), ≤0.6% (PM), and ≤0.4% (CRT). Device failures requiring revision occurred at a rate of 2.17% for ICDs, 0.85% for PMs, and 4.93% for CRTs, per 100 patient observation years. Superficial infection rates were <0.03% for all devices; deep infection rates were 0.6% (ICD), 0.5% (PM), and 1.0% (CRT). Results were used to monitor vendor-specific variations and were systematically shared with individual regions to address potential variations in outcomes, utilization, and to assist with the management of device recalls.
CONCLUSIONS: The Kaiser Permanente-Cardiac Device Registry is a robust tool to monitor postprocedural patient outcomes and postmarket surveillance of implants and potentially change practice patterns.
© 2016 The Authors. Published on behalf of the American Heart Association, Inc., by Wiley Blackwell.

Entities:  

Keywords:  electrophysiology; pacemakers; registries

Mesh:

Year:  2016        PMID: 26961369      PMCID: PMC4943256          DOI: 10.1161/JAHA.115.002798

Source DB:  PubMed          Journal:  J Am Heart Assoc        ISSN: 2047-9980            Impact factor:   5.501


Introduction

As the indications for and utilization of cardiac implantable electronic devices (CIED) increase annually, so do concerns regarding procedural outcomes and safety risks associated with the implantation of these devices. The United States is the largest implanter of CIEDs, adding nearly 33 000 new implantable cardioverter defibrillators (ICDs) and 60 000 new pacemakers (PM) each year.1 Over the last decade, the use of these devices and procedures has increased substantially, a change commensurate with ever‐changing guidelines for device‐based therapy for cardiac rhythm abnormalities2 and the aging of the US population.3 For example, ICD implantation has increased 145% between 1997 and 2004,4 and PM implantation has increased by 56% between 1993 and 2009,5 despite smaller growth rates in the overall population (7.4% and 18% increase over the same time periods, respectively). Challenged by increases in utilization and cost, healthcare systems have sought to identify the most effective implants, reduce complication and readmission rates, and improve patient quality outcomes. Over the last 10 years, the US Food and Drug Administration (FDA) has approved significantly more high‐risk (FDA class III) devices than previous decades, many of which require little premarket testing.5, 6, 7 Approximately 700 device recalls occur per year, many carrying moderate health risks.8 Healthcare delivery systems that monitor implant performance have an advantage in ensuring the safety of their patients and lessening the financial impact in the event of a recall. The FDA requires device vendors to maintain surveillance databases of all implanted ICDs and pacemakers. In addition, the Centers for Medicare and Medicaid Services mandates detailed documentation of patient and implant characteristics for reimbursement of qualifying procedures. Clinicians can satisfy the Centers for Medicare and Medicaid Services requirement by submitting data to the American College of Cardiology National Cardiovascular Data Registry (ACC‐NCDR).8, 9, 10 While the intent of the ACC‐NCDR is a national quality program, it is inherently limited as submission is dependent on Centers for Medicare and Medicaid Services requirements (eg, required only for recipients 65 years or older, eligible for reimbursement) and postprocedural follow‐up is restricted to the hospital stay. Nevertheless, the ACC‐NCDR and other registries have been shown to be valuable tools for clinical research, and have unique advantages over clinical trials and administrative claims databases. In response to increasing device implant volume, costs, and safety risks as well as the need for robust, long‐term patient and device surveillance, the Kaiser Permanente–Cardiac Device Registry (KP‐CDR) was established to identify patients accurately and efficiently in the event of a device recall, measure comparative safety, effectiveness, and longevity of implants, and evaluate longitudinal patient outcomes. The purpose of this study is to describe the characteristics and outcomes of a cohort of registered patients from a large, geographically and demographically diverse US integrated healthcare system.

Methods

Registry Cohort and Setting

The registry includes 6 US geographical regions (Northern California, Southern California, Hawaii, Pacific Northwest, Colorado, and Mid‐Atlantic) of a large integrated healthcare system with over 9 million members (Figure 1). The study includes data from 385 medical facilities and ≈400 implanting cardiologists, electrophysiologists, and surgeons. Patients with an ICD, PM, or cardiac resynchronization therapy device (CRT) implanted between January 1, 2007 and December 31, 2013 were prospectively followed until March 31, 2014.
Figure 1

The Kaiser Permanente healthcare system comprises 7 geographical regions spanning 8 states and nearly 9 million members. Data from Georgia not included in KP‐CDR.

The Kaiser Permanente healthcare system comprises 7 geographical regions spanning 8 states and nearly 9 million members. Data from Georgia not included in KP‐CDR.

Data Collection Procedures

Device data for initial and replacement ICD and PM procedures were imported on a quarterly schedule from multiple sources: device manufacturers, Paceart,10 and Apollo Data Repository.11 Complete implant data were unavailable from an individual source. Device manufacturers provided device data obtained at the time of implant from Kaiser Permanente medical centers. Data from the manufacturers did not include devices implanted in facilities outside the Kaiser Permanente network. Paceart is an additional source to ensure comprehensive data capture, regardless of whether the implant occurred within or outside of our network. Paceart is a software application that stores device data entered at the time of follow‐up care at a Kaiser Permanente facility. Finally, the Apollo Data Repository provided data for ICDs only and was generally limited to patients 65 years and older whose implants were subject to mandated reporting by the ACC‐NCDR. All data were recorded and transferred to a centralized data repository for data management, validation, and reporting (Figure 2). Due to the electronic capture mechanism, 100% of device implants across all medical centers were captured.
Figure 2

The Kaiser Permanente Cardiac Device Registry (KP‐CDR) retrieves device and patient data from device vendors, clinic‐based registry software such as Apollo and Paceart, as well as the program‐wide electronic medical record (EMR) system. Quality‐control queries are performed routinely to ensure high data quality and integrity.

The Kaiser Permanente Cardiac Device Registry (KP‐CDR) retrieves device and patient data from device vendors, clinic‐based registry software such as Apollo and Paceart, as well as the program‐wide electronic medical record (EMR) system. Quality‐control queries are performed routinely to ensure high data quality and integrity. The electronic medical record (EMR) was used to obtain patient characteristics (age, sex, race, and body mass index), comorbidities, mortality, and other diagnoses. Data from the EMR were integrated with device data to create a comprehensive patient registry, which includes patient and implant information (device and lead type and model). Specific functional parameters (ie, thresholds, impedances, episodes, etc) were not proactively stored in the registry but could easily be obtained from chart review of the EMR. For example, this was done when evaluating and confirming causes of device or lead malfunction (such as threshold or impedance changes suggesting dislodgments, fractures, insulation breaches, etc).

Quality Control

Key data elements in the KP‐CDR include device characteristics, patient demographics, clinical indications for implant, procedural details, and postoperative outcomes. Automated, ongoing quality control procedures were carried out to flag patient and device data anomalies that were adjudicated using the EMR by clinical content experts. The data were subjected to systematic review through these rigorous processes that included checks for illogical device configurations (eg, a single‐chamber device implanted with 2 active leads), implant/explant date anomalies, and missing data fields.

Procedural Outcomes Surveillance

Using electronic screening algorithms (see Appendix S1) based on International Classification of Disease, 9th Revision (ICD‐9) diagnostic and procedure codes, the EMR was queried for postoperative complications and re‐interventions every 3 months via an automated search. After initial identification of these end points, clinical content experts manually reviewed the EMR to adjudicate each suspected complication and/or re‐intervention. If confirmed, outcomes were included in the registry database and reports. The cardiac device registry specifically monitored 4 main outcomes associated with device and/or lead procedures: early procedural complications, long‐term mechanical complications, premature explants, and procedural site infections (see Appendix S1 for definitions). Continuous data are reported as mean and SD. Categorical data are reported as number and proportion. This is a retrospective data only study. The study was approved by each region's Institutional Review Board and was granted a waiver of informed consent.

Results

Study Cohort

Demographic characteristics of the 34 238 patients with primary implants registered between 2007 and 2013 are presented in Table 1. The mean age (years±SD) of each cohort was 63.2±13.5 for ICD, 75.2±12.4 for PM, and 67.2±11.9 for CRT. Patients receiving ICD or CRT implants were younger than those with PM implants (Table 1). A higher proportion of devices were implanted in males: 75.1% (ICD), 55.0% (PM), and 66.7% (CRT).
Table 1

Patient Demographics at Initial Implant, 2007–2013

DescriptionICDPMCRT
N (%)N (%)N (%)
Total N primary cases792923 7722537
Sex
Male5957 (75.1%)13 063 (55.0%)1692 (66.7%)
Female1960 (24.7%)10 615 (44.7%)833 (32.8%)
Unknown12 (0.2%)94 (0.4%)12 (0.5%)
Age category, y
<1837 (0.5%)74 (0.3%)5 (0.2%)
18 to 644019 (50.7%)3996 (16.8%)990 (39.0%)
≥ 653872 (48.8%)19 684 (82.8%)1541 (60.7%)
Age, ±SD63.2 (13.5)75.2 (12.4)67.2 (11.9)
BMI, ±SD28.8 (6.5)27.8 (6.3)29 (6.4)
BMI category
<305054 (63.7%)16 661 (70.1%)1545 (60.9%)
30 and ≤351662 (21.0%)4286 (18.0%)553 (21.8%)
>351185 (15.0%)2609 (11.0%)415 (16.4%)
Unknown28 (0.4%)216 (0.9%)24 (1.0%)
Race
White4401 (55.5%)16 437 (69.1%)1486 (58.6%)
Black1264 (15.9%)1666 (7.0%)382 (15.1%)
Asian758 (9.6%)2283 (9.6%)166 (6.5%)
Hispanic1113 (14.0%)2344 (9.9%)324 (12.8%)
Native American14 (0.2%)40 (0.2%)8 (0.3%)
Multiracial87 (1.1%)174 (0.7%)37 (1.5%)
Other29 (0.4%)99 (0.4%)12 (0.5%)
Unknown263 (3.3%)729 (3.1%)122 (4.8%)

BMI indicates body mass index; CRT, cardiac resynchronization therapy device; ICD, implantable cardioverter defibrillator; PM, pacemaker.

Patient Demographics at Initial Implant, 2007–2013 BMI indicates body mass index; CRT, cardiac resynchronization therapy device; ICD, implantable cardioverter defibrillator; PM, pacemaker. The cohort was ethnically and racially diverse with 9.6% black, 9.4% Asian, and 11.0% Hispanic. There were 11 924 ICD implants (7929 initial and 3995 replacement); 33 519 PM implants (23 772 initial and 9747 replacement); and 4472 CRT devices (2537 initial and 1935 replacement) registered during the study period (2007–2013) in 47 312 patients. There were 66 067 leads associated with these devices registered. The absolute and proportional number of ICD, PM, and CRT device types implanted between 2007 and 2013 are shown in Table 2. Of initial devices placed, 47.6% of ICDs and 14.5% of PMs were single chamber and the majority (92.5%) of all CRTs were defibrillators (Table 2). Interestingly, while the proportion of other devices remained relatively constant, the use of dual‐chamber ICDs decreased by 17.9% (from 62.9% in 2007 to 42.1% in 2013), with a corresponding increase in single‐chamber ICD implants from 37.1% to 58.0%.
Table 2

Device Type at Initial Implant, 2007–2013

Device Type2007200820092010201120122013Total
N (%)N (%)N (%)N (%)N (%)N (%)N (%)N (%)
ICD
SC440 (37.1)553 (46.5)603 (49.8)459 (40.7)537 (50.1)580 (52.9)605 (58.0)3777 (47.7)
DC746 (63.0)637 (53.5)608 (50.2)670 (59.3)535 (49.9)517 (47.1)439 (42.1)4152 (52.4)
Total1186 (100)1190 (100)1211 (100)1129 (100)1072 (100)1097 (100)1044 (100)7929 (100)
PM
SC547 (16.5)523 (15.2)573 (16.0)432 (12.6)496 (14.7)459 (13.7)409 (12.4)3439 (14.5)
DC2760 (83.5)2924 (84.8)3006 (84.0)2995 (87.4)2873 (85.3)2891 (86.3)2884 (87.6)20 333 (85.5)
Total3307 (100)3447 (100)3579 (100)3427 (100)3369 (100)3350 (100)3293 (100)23 772 (100)
CRT
CRT‐D398 (92.6)308 (91.9)312 (91.5)354 (91.0)308 (93.3)321 (93.9)347 (93.8)2348 (92.6)
CRT‐P32 (7.4)27 (8.1)29 (8.5)35 (9)22 (6.7)21 (6.1)23 (6.2)189 (7.5)
Total430 (100)335 (100)341 (100)389 (100)330 (100)342 (100)370 (100)2537 (100)

CRT indicates cardiac resynchronization therapy device; CRT‐D, cardiac resynchronization therapy defibrillators; CRT‐P, cardiac resynchronization therapy pacemakers; DC, dual‐chamber device; ICD, implantable cardioverter defibrillator; PM, pacemaker; SC, single‐chamber device.

Device Type at Initial Implant, 2007–2013 CRT indicates cardiac resynchronization therapy device; CRT‐D, cardiac resynchronization therapy defibrillators; CRT‐P, cardiac resynchronization therapy pacemakers; DC, dual‐chamber device; ICD, implantable cardioverter defibrillator; PM, pacemaker; SC, single‐chamber device.

Outcomes

The early (30‐day) complication rates for the end point of cardiac tamponade were 0.15% ICD, 0.27% PM, and 0.25% CRT; rates of hematoma were 0.27% ICD, 0.19% PM, and 0.38% CRT; and rates of pneumothorax were 0.21% ICD, 0.51% PM, and 0.13% CRT. Device failures requiring revision occurred at a (100‐patient‐year adjusted) rate of 2.17% for ICDs, 0.85% for PMs, and 4.93% for CRTs. Early revision was defined by a procedure to revise, replace, or explant the pulse generator within 36 months of implant (ICD) or 60 months (PM). For ICD or PM implants, the most common reasons for early revision of the device or leads were changes in device type, noted as upgrade/downgrade (41.6% and 34.1%, respectively), followed by infection (19.7% and 22.0%, respectively). For CRT, the most common reasons were infection (30.7%) followed by premature battery depletion (26.7%) (Figure 3). Superficial infection rates for all device types were 0.02% (ICD), 0.03% (PM), and 0.02% (CRT); deep infection rates were 0.60% ICD, 0.51% PM, and 0.98% for CRT (Table 3). Deep infection rates were higher for replacement (mean=0.8% ICD, 0.7% PM, 1.1% CRT) than initial (mean=0.5% ICD, 0.4% PM, 0.9% CRT) implants for all device types.
Figure 3

Reasons for early device revision, explantation, or replacement. During 2007–2013, 465 implantable cardioverter defibrillators (ICDs) were explanted, replaced, or revised after having been implanted for less than 36 months (A). 1018 Pacemakers were explanted, replaced, or revised after having been implanted for less than 60 months (B), and 182 cardiac resynchronization therapy devices were explanted, replaced, or revised after having been implanted for less than 36 months (C). Time frame for early explants was determined by electrophysiologist consultants. (1) “Mechanical Lead Complication” refers to devices functioning normally and with ample battery life replaced at the time of lead revision/replacement for a lead malfunction. (2) “Premature Battery Depletion” is classified as a form of device malfunction if the battery reaches elective replacement indicator or end of life and is replaced within 36/60 months of implant. (3) “Other” reasons include Pocket Erosion, Pocket Discomfort/Pain, Patient Requested Removal, and Patient Anatomy Issues. More than one reason may apply to a single revised device. Exclusions: elective replacement indicator, Heart Transplants, and Hospice Care.

Table 3

Complications Following ICD or PM Implant, 2007–2013

ComplicationICDPMCRT
N (%)N (%)N (%)
Total N (initial and replacement)11 92433 5194472
Tamponade18 (0.15)89 (0.27)11 (0.25)
Pneumothorax25 (0.21)172 (0.51)6 (0.13)
Hematoma32 (0.27)64 (0.19)17 (0.38)
Infection
Deep71 (0.60)170 (0.51)44 (0.98)
Organ space5 (0.04)12 (0.04)4 (0.09)
Superficial2 (0.02)9 (0.03)1 (0.02)

CRT indicates cardiac resynchronization therapy device; ICD, implantable cardioverter defibrillator; PM, pacemaker.

Reasons for early device revision, explantation, or replacement. During 2007–2013, 465 implantable cardioverter defibrillators (ICDs) were explanted, replaced, or revised after having been implanted for less than 36 months (A). 1018 Pacemakers were explanted, replaced, or revised after having been implanted for less than 60 months (B), and 182 cardiac resynchronization therapy devices were explanted, replaced, or revised after having been implanted for less than 36 months (C). Time frame for early explants was determined by electrophysiologist consultants. (1) “Mechanical Lead Complication” refers to devices functioning normally and with ample battery life replaced at the time of lead revision/replacement for a lead malfunction. (2) “Premature Battery Depletion” is classified as a form of device malfunction if the battery reaches elective replacement indicator or end of life and is replaced within 36/60 months of implant. (3) “Other” reasons include Pocket Erosion, Pocket Discomfort/Pain, Patient Requested Removal, and Patient Anatomy Issues. More than one reason may apply to a single revised device. Exclusions: elective replacement indicator, Heart Transplants, and Hospice Care. Complications Following ICD or PM Implant, 2007–2013 CRT indicates cardiac resynchronization therapy device; ICD, implantable cardioverter defibrillator; PM, pacemaker.

Registry Reporting and Information Dissemination to Stakeholders

Reports from the KP‐CDR were distributed at regularly scheduled intervals to widespread national and regional KP audiences of implanting physicians, cardiology chiefs of service, quality improvement groups, infection control practitioners, hospital administrators, purchasing leaders, and supporting clinical staff within the healthcare system. The goals of these detailed reports were to identify potential early clinical signals (ie, device or lead failures), regional variation, and temporal changes in practice/utilization. This information allowed implanters to benchmark personal practice with regional and inter‐regional practice in order to identify areas with outlying performance that could then be targeted for practice improvement. Implanting physicians could request medical‐center specific reports to benchmark local practice, as well as make requests for data to support quality improvement or research projects.

Monitoring of Devices and Patient Safety

The KP‐CDR supported 7 recalls associated with ICDs, PMs, or leads during this time period. Four were Class 1 (the highest hazard level, indicating a device that may cause serious health problems and/or death). Examples of recalled leads included the Sprint Fidelis defibrillator lead in 2007 and the Riata/Riata ST silicone defibrillator leads in 2011. Within a day of notification of a recall, the registry identified all patients within our healthcare system with the affected implant and the responsible treating physician. While the device manufacturers recorded devices or leads at the time of implant, the registry followed patients for their lifetime in our system. As a result, information from vendors about recalled devices often contained incomplete patient lists, outdated patient contact information, incorrect physician names, or inaccurate implant data. A national KP recall department, in conjunction with a core group of electrophysiologists, communicated and coordinated clinical recommendations, patient notification, and management of the recall response to the appropriate individuals in an expeditious and independent manner.

Support for New Technology

The device registry offered customized analysis of device performance (eg, evidence of a higher‐than‐expected failure rate benchmarked with comparable devices and leads) when new ICDs, PMs, or leads were introduced to the market. Any device or lead identified as “out of range” was brought to the attention of implanting surgeons for more in‐depth analysis and discussion. Reasons for revision were documented to better understand the mechanism of failure, either related to implant or, possibly, implant technique. Complication rates and cost comparison of new implant designs were compared to well‐established devices or leads, implanted by the same surgeons and at the same facilities. That analysis was used to support clinical and purchasing recommendations about new technology.

Discussion

To our knowledge, the KP‐CDR is one of the first registries of cardiac implantable electronic devices to provide the combination of large numbers of patients and devices, diverse implanting physicians, across a wide geographical distribution, and critically, with robust short‐ and long‐term clinical follow‐up using a single integrated EMR. Many of the general descriptive findings from the registry were expected and consistent with prior published reports and clinical practice. More males than females received both ICDs and PMs, possibly due to differences in cardiac disease prevalence between the 2; however, under‐recognition of disease in females cannot be excluded.12, 13 Patients were younger in the ICD cohort than the PM cohort, presumably driven by primary prevention ICDs used in patients without symptoms of bradycardia or other indications for pacing that otherwise usually occur later in life. While our infection rates combined initial and replacement implants, other studies reported higher infection rates with replacement than initial implants.14, 15 Consistent with prior reports, there was a higher infection rate in CRT compared to ICD recipients, most likely due to the greater number of leads, longer procedure length, and adverse patient characteristics associated with advanced heart failure.14, 15 Given that the most common reason for early device revision was for a change in device type due to changes in clinical condition (upgrade/downgrade procedure in 36.7% of all replacement devices), proper device selection can not only improve device utilization but minimize repeat procedures and lessen these infection risks. Thirty‐day procedural complication rates remained low and similar for all device types and were similar to those reported elsewhere.16 The KP‐CDR tracked device/lead longevity, device selection trends, and implant utilization in order to support clinical practice patterns. One example of how implanters used registry data was the change of use of dual‐chamber ICDs towards single‐chamber ICDs over time (Table 2) among centers sharing regional use data. While this practice has evolved nationally with emerging evidence of higher complication rates with dual‐chamber ICDs,16 evolution within our implanters occurred prior to these data becoming widely distributed—due in part to dissemination of utilization reports from the KP‐CDR. One geographic region was able to objectively recognize a larger percentage of dual‐chamber ICDs versus single‐chamber ICDs compared to another region among colleagues. In 2007, single‐chamber initial implants in Southern California comprised 13.9% of all ICDs but in 2013, they comprised 49.7%. This is in contrast to Northern California, which had 64.3% single‐chamber implants in 2007 versus 72.1% in 2013. Another example was the KP‐CDR's ability to more accurately report the true rate of non‐evidence‐based implants to each center. For example, while it has been reported that non‐evidence‐based primary prevention ICDs from the ACC‐NCDR registry is as high as 22.5%17 nationally, the KP rate from the same ACC‐NCDR criteria was 8.8%.18 However, when the submitted data were validated through the KP‐CDR, which was dependent on clinically active EMR information and not a separate data form or manual submission, the actual rate was 3.1%. This information allowed physicians to further evaluate a true sample of cases for reasons and rationales for either breaking those guidelines based on clinical judgment or effect change in practice patterns. Finally, the KP‐CDR was designed to identify specific device and lead performance trends important to implanters even before formal advisories and recalls were issued. Quarterly device and lead performance reports monitored whether any device or lead had a higher‐than‐expected failure rate, benchmarked with comparable devices and leads. Any device or lead identified was brought to the attention of implanting physicians for more in‐depth analysis and discussion. Reasons for revision were documented to better understand the mechanism of failure (for example, whether related to implant generator or leads themselves, implant technique, or patient characteristics). For example, a spike in lead perforations in multiple regions was identified in the KP‐CDR with the release of the new, smaller‐diameter Riata‐ST Optim ICD leads, and a group moratorium to stop implants was made months before the “pillow‐topped” lower‐risk Durata lead was released to address this issue. This represents one of several instances where leveraging the KP‐CDR translated into improved quality care.

Strengths

The KP‐CDR offers unique strengths compared to other published CIED registries. The described cohort is sociodemographically diverse and is representative of the geographic population it covers.19, 20 Our population diversity, coupled with its large size, allows for meaningful inter‐regional analyses and comparisons to be conducted. This in turn can be of use to identify specific populations at risk or important practice variations across the health system. Additionally, we have a large number of participating physicians across many medical centers, of various sizes, contributing data to the registry. Because of the volume and diversity of medical centers and implanters, this sample represents a range of device implantation experience, techniques, and settings, as well as patient management practices. Implanters are from several specialties including general cardiac/cardiothoracic surgery, invasive and interventional cardiology, and cardiac electrophysiology. Finally, longitudinal patient and device follow‐up via a robust pan‐institutional EMR allows for clinical tracking of patients years beyond the postdischarge period, overcoming a key limitation of other available registries (ACC‐NCDR, vendor‐sponsored registries).

Limitations

Data from registries are observational in nature, and analyses deriving from such data must account for its limitations (such as confounding factors, missing data, and attrition). In the KP‐CDR, these limitations are mitigated by a comprehensive EMR that is linked across all implanters and regions to track these data in a longitudinal fashion. The KP‐CDR does not track certain data on time variant and CIED‐specific variables such as lead parameters (sensing, thresholds, and impedances), clinical events (such as ICD therapies), and programmable settings of the devices, and is limited on the number of variables and detail of procedures captured in order to minimize data collection burden and ensure high quality.

Conclusions

The KP‐CDR is a robust tool for an integrated healthcare system to monitor postprocedural patient outcomes and postmarket surveillance of CIEDs as well as potentially identify early failures and change practice patterns. The volume and diversity of the KP‐CDR implanters, implanting settings, and patient population along with its completeness in follow‐up through an integrated EMR rather than reliance on self‐reported or Medicare claims data makes it unique from other national registries. It is expected that current and future reports from the KP‐CDR will serve as a valuable resource for physicians and hospitals both within and beyond the KP system.

Disclosures

None. Appendix S1. Definitions of Reported Outcomes. Click here for additional data file.
  16 in total

1.  Recurrent implantable cardioverter-defibrillator replacement is associated with an increasing risk of pocket-related complications.

Authors:  C Jan Willem Borleffs; Joep Thijssen; Mihály K de Bie; Johannes B van Rees; Guido H van Welsenes; Lieselot van Erven; Jeroen J Bax; Suzanne C Cannegieter; Martin J Schalij
Journal:  Pacing Clin Electrophysiol       Date:  2010-04-27       Impact factor: 1.976

2.  Complication rates associated with pacemaker or implantable cardioverter-defibrillator generator replacements and upgrade procedures: results from the REPLACE registry.

Authors:  Jeanne E Poole; Marye J Gleva; Theofanie Mela; Mina K Chung; Daniel Z Uslan; Richard Borge; Venkateshwar Gottipaty; Timothy Shinn; Dan Dan; Leon A Feldman; Hanscy Seide; Stuart A Winston; John J Gallagher; Jonathan J Langberg; Kevin Mitchell; Richard Holcomb
Journal:  Circulation       Date:  2010-10-04       Impact factor: 29.690

3.  2012 ACCF/AHA/HRS focused update incorporated into the ACCF/AHA/HRS 2008 guidelines for device-based therapy of cardiac rhythm abnormalities: a report of the American College of Cardiology Foundation/American Heart Association Task Force on Practice Guidelines and the Heart Rhythm Society.

Authors:  Andrew E Epstein; John P DiMarco; Kenneth A Ellenbogen; N A Mark Estes; Roger A Freedman; Leonard S Gettes; A Marc Gillinov; Gabriel Gregoratos; Stephen C Hammill; David L Hayes; Mark A Hlatky; L Kristin Newby; Richard L Page; Mark H Schoenfeld; Michael J Silka; Lynne Warner Stevenson; Michael O Sweeney
Journal:  Circulation       Date:  2012-12-19       Impact factor: 29.690

Review 4.  The National ICD Registry Report: version 2.1 including leads and pediatrics for years 2010 and 2011.

Authors:  Mark S Kremers; Stephen C Hammill; Charles I Berul; Christina Koutras; Jeptha S Curtis; Yongfei Wang; Jim Beachy; Laura Blum Meisnere; Del M Conyers; Matthew R Reynolds; Paul A Heidenreich; Sana M Al-Khatib; Ileana L Pina; Kathleen Blake; Mary Norine Walsh; Bruce L Wilkoff; Alaa Shalaby; Frederick A Masoudi; John Rumsfeld
Journal:  Heart Rhythm       Date:  2013-02-09       Impact factor: 6.343

5.  Non-evidence-based ICD implantations in the United States.

Authors:  Sana M Al-Khatib; Anne Hellkamp; Jeptha Curtis; Daniel Mark; Eric Peterson; Gillian D Sanders; Paul A Heidenreich; Adrian F Hernandez; Lesley H Curtis; Stephen Hammill
Journal:  JAMA       Date:  2011-01-05       Impact factor: 56.272

6.  FDA approval of cardiac implantable electronic devices via original and supplement premarket approval pathways, 1979-2012.

Authors:  Benjamin N Rome; Daniel B Kramer; Aaron S Kesselheim
Journal:  JAMA       Date:  2014 Jan 22-29       Impact factor: 56.272

Review 7.  Sex-based differences in cardiac resynchronization therapy and implantable cardioverter defibrillator therapies: effectiveness and use.

Authors:  Michael J Yarnoz; Anne B Curtis
Journal:  Cardiol Rev       Date:  2006 Nov-Dec       Impact factor: 2.644

8.  Trends in permanent pacemaker implantation in the United States from 1993 to 2009: increasing complexity of patients and procedures.

Authors:  Arnold J Greenspon; Jasmine D Patel; Edmund Lau; Jorge A Ochoa; Daniel R Frisch; Reginald T Ho; Behzad B Pavri; Steven M Kurtz
Journal:  J Am Coll Cardiol       Date:  2012-09-19       Impact factor: 24.094

Review 9.  Coronary heart disease: the female heart is vulnerable.

Authors:  Nanette K Wenger
Journal:  Prog Cardiovasc Dis       Date:  2003 Nov-Dec       Impact factor: 8.194

10.  Multi-Center, Community-Based Cardiac Implantable Electronic Devices Registry: Population, Device Utilization, and Outcomes.

Authors:  Nigel Gupta; Mary Lou Kiley; Faith Anthony; Charlie Young; Somjot Brar; Kevin Kwaku
Journal:  J Am Heart Assoc       Date:  2016-03-09       Impact factor: 5.501

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  10 in total

Review 1.  Systematizing Heart Failure Population Health.

Authors:  Prateeti Khazanie; Larry A Allen
Journal:  Heart Fail Clin       Date:  2020-07-21       Impact factor: 3.179

2.  Machine Learning Algorithm Predicts Cardiac Resynchronization Therapy Outcomes: Lessons From the COMPANION Trial.

Authors:  Matthew M Kalscheur; Ryan T Kipp; Matthew C Tattersall; Chaoqun Mei; Kevin A Buhr; David L DeMets; Michael E Field; Lee L Eckhardt; C David Page
Journal:  Circ Arrhythm Electrophysiol       Date:  2018-01

Review 3.  Shared Decision Making in Cardiac Electrophysiology Procedures and Arrhythmia Management.

Authors:  Mina K Chung; Angela Fagerlin; Paul J Wang; Tinuola B Ajayi; Larry A Allen; Tina Baykaner; Emelia J Benjamin; Megan Branda; Kerri L Cavanaugh; Lin Y Chen; George H Crossley; Rebecca K Delaney; Lee L Eckhardt; Kathleen L Grady; Ian G Hargraves; Mellanie True Hills; Matthew M Kalscheur; Daniel B Kramer; Marleen Kunneman; Rachel Lampert; Aisha T Langford; Krystina B Lewis; Ying Lu; John M Mandrola; Kathryn Martinez; Daniel D Matlock; Sarah R McCarthy; Victor M Montori; Peter A Noseworthy; Kate M Orland; Elissa Ozanne; Rod Passman; Krishna Pundi; Dan M Roden; Elizabeth V Saarel; Monika M Schmidt; Samuel F Sears; Dawn Stacey; Randall S Stafford; Benjamin A Steinberg; Sojin Youn Wass; Jennifer M Wright
Journal:  Circ Arrhythm Electrophysiol       Date:  2021-12-06

4.  Trends in Cardiovascular Implantable Electronic Device Insertion Between 1988 and 2018 in Olmsted County.

Authors:  Vaibhav R Vaidya; Roshini Asirvatham; Gurukripa N Kowlgi; Ming-Yan Dai; Jordan J Cochuyt; David O Hodge; Abhishek J Deshmukh; Yong Mei Cha
Journal:  JACC Clin Electrophysiol       Date:  2021-08-25

5.  Rehospitalizations for complications and mortality following pacemaker implantation: A retrospective cohort study in an older population.

Authors:  Marianne H Gillam; Nicole L Pratt; Maria C S Inacio; Sepehr Shakib; Prashanthan Sanders; Dennis H Lau; Elizabeth E Roughead
Journal:  Clin Cardiol       Date:  2018-10-19       Impact factor: 2.882

6.  Multi-Center, Community-Based Cardiac Implantable Electronic Devices Registry: Population, Device Utilization, and Outcomes.

Authors:  Nigel Gupta; Mary Lou Kiley; Faith Anthony; Charlie Young; Somjot Brar; Kevin Kwaku
Journal:  J Am Heart Assoc       Date:  2016-03-09       Impact factor: 5.501

7.  Systemic infection due to subcutaneous implantable cardioverter-defibrillator implantation: Importance of early recognition and treatment of device pocket-related complications.

Authors:  Patrick M Looser; Layth Saleh; George Thomas; Jim W Cheung
Journal:  HeartRhythm Case Rep       Date:  2016-09-28

8.  Recurrent, late-onset pleural effusions in elderly patients receiving pacemaker therapy.

Authors:  Mengqing Xiong; Zhan Zhang; Ke Hu; Minglin Dong; Weihua Hu
Journal:  Medicine (Baltimore)       Date:  2018-10       Impact factor: 1.817

9.  Comparing the catheter delivery system and the stylet delivery system for ventricular lead placement in pacemaker implantation-The CATS delivery system randomized controlled trial.

Authors:  Kenichiro Yamagata; Kohei Ishibashi; Kenzaburo Nakajima; Naoya Kataoka; Tsukasa Kamakura; Mitsuru Wada; Yuko Inoue; Koji Miyamoto; Satoshi Nagase; Takashi Noda; Takeshi Aiba; Satoshi Yasuda; Kengo Kusano
Journal:  J Arrhythm       Date:  2019-03-29

10.  Favorable Trend of Implantable Cardioverter-Defibrillator Service Life in a Large Single-Nation Population: Insights From 10-Year Analysis of the Italian Implantable Cardioverter-Defibrillator Registry.

Authors:  Stefano Poli; Giuseppe Boriani; Massimo Zecchin; Domenico Facchin; Maurizio Gasparini; Maurizio Landolina; Renato Pietro Ricci; Corrado Lanera; Dario Gregori; Alessandro Proclemer
Journal:  J Am Heart Assoc       Date:  2019-07-25       Impact factor: 5.501

  10 in total

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