Literature DB >> 35943057

Sex-Based Differences in Selected Cardiac Implantable Electronic Device Use: A 10-Year Statewide Patient Cohort.

Kasun De Silva1,2, Natasha Nassar2,3,4, Tim Badgery-Parker3,5, Saurabh Kumar1,2, Lee Taylor6, Pramesh Kovoor1, Sarah Zaman1,2, Andrew Wilson3, Clara K Chow1,2.   

Abstract

Background Cardiac implantable electronic devices (CIEDs) include pacemakers, cardioverter defibrillators, and resynchronization therapy. This study aimed to assess CIED implantation and outcomes by sex and indication. Methods and Results This was a retrospective cohort study of adults with cardiovascular hospitalizations in New South Wales, Australia (2008 to 2018). CIED implantation in patients with arrhythmia, cardiomyopathy, and syncope were examined. Subcategories (complete heart block, atrial fibrillation/atrial flutter, ventricular tachycardia/ventricular fibrillation/cardiac arrest, sick sinus syndrome, and ischemic and nonischemic cardiomyopathy) were investigated. Primary outcome was implantation of CIEDs in men versus women adjusted for age and comorbidities. Secondary outcomes were trends over time, time to implant, length of stay, emergency status, and 30-day survival. Of 1 291 258 patients with cardiovascular admissions, 287 563 had arrhythmia, cardiomyopathy, or syncope and 29 080 (2.3%) received a CIED (22 472 pacemakers, 6808 defibrillators, 3207 resynchronization therapy). Women with arrhythmia, cardiomyopathy, or syncope were less likely to have pacemakers (adjusted odds ratio [aOR], 0.78 [95% CI, 0.76-0.80]), defibrillators (aOR, 0.4, [95% CI, 0.40-0.45]) and resynchronization therapy (aOR, 0.66 [95% CI, 0.61-0.71]). Differences persisted across subcategories, including fewer pacemakers in complete heart block (aOR, 0.89 [95% CI, 0.80-0.98]) and syncope (aOR, 0.70 [95% CI, 0.63-0.79]); fewer defibrillators in ventricular tachycardia/ventricular fibrillation/cardiac arrest (aOR, 0.69 [95% CI, 0.61-0.77]); and less resynchronization therapy in cardiomyopathy (aOR, 0.62 [95% CI, 0.51-0.75]). Men and women receiving devices had higher 30-day survival compared with those who did not receive a device, and 30-day survival was similar between men and women receiving devices. Conclusions Lower CIED implantation was seen in women versus men, across nearly all indications, including complete heart block and ventricular tachycardia/ventricular fibrillation/cardiac arrest. The underuse of cardiac devices among women may arguably reflect a sex bias and requires further research.

Entities:  

Keywords:  cardiac implantable electronic devices; cardiac resynchronization therapy; implantable cardioverter defibrillator; pacemaker; sex

Mesh:

Year:  2022        PMID: 35943057      PMCID: PMC9496306          DOI: 10.1161/JAHA.121.025428

Source DB:  PubMed          Journal:  J Am Heart Assoc        ISSN: 2047-9980            Impact factor:   6.106


cardiac resynchronization therapy New South Wales

What Is New?

In a statewide cohort of patients presenting with cardiac arrhythmias, cardiomyopathy, and syncope, lower cardiac implantable electronic device use was seen in women compared with men independent of age and comorbidities. These sex‐differences persisted across device type (pacemakers, defibrillators, and cardiac resynchronization therapy) and across implantation subdiagnoses including lower use of pacemakers for complete heart block and syncope, defibrillators for ventricular tachycardia, ventricular fibrillation and cardiac arrest, and cardiac resynchronization therapy for cardiomyopathy. This is the largest study to date to systematically examine implant rates for men versus women stratified by implant subdiagnosis and adjusting for age and comorbidities.

What Are the Clinical Implications?

This is a contemporary population‐level snapshot of a cohort of patients receiving cardiac implantable electronic device therapies, allowing an understanding of implantation trends and real‐world practices. Although it is unclear if these observed sex differences are due to systematic sex bias, the broad array of reduced use of devices in women versus men across subdiagnoses such as complete heart block suggests the existence and persistence over time of sex‐based disparities in cardiac implantable electronic device use in women. This research should provoke further examination of the reasons for these differences and ways to address them. Cardiac implantable electronic devices (CIEDs), including pacemakers, implantable cardioverter defibrillators (ICDs), and cardiac resynchronization therapy (CRT), are used for treating cardiac arrhythmias and cardiomyopathies and for prevention of sudden cardiac death. Randomized clinical trials have demonstrated that benefits of pacemakers on major adverse cardiovascular events are similar in men and women. There is less evidence for ICDs and CRTs and an underrepresentation of women in ICD/CRT clinical trials has been observed. International cardiology society guidelines do not have sex‐specific recommendations for differential CIED implantation in men and women. , , , There has been recent increased interest in differences in cardiovascular management by sex globally. Women with cardiovascular disease are less likely to receive timely interventions and secondary prevention treatments. , , , To date there is limited and conflicting evidence of sex differences in CIED implantation rates. Some studies have observed differences in implantation of selected CIEDs by sex, , , although few have adequately controlled for confounding comorbidities. Prospective registry‐based studies have also suggested sex differences , ; however, these are generally limited to recruiting hospitals committed to quality improvement and may not be generalizable to real‐world practice. Other studies have found no sex‐based differences in device implantation. Understanding whether there are sex differences in implantation at a population level and subsequently obtaining information on whether this is related to reason for implantation, type of device, or comorbidities is important. The aim of this study was to assess CIED implant rates and outcomes by sex in a longitudinal cohort study of patients in New South Wales (NSW), Australia, with arrhythmia, cardiomyopathy, and syncope and to examine whether differences are related to age, demographics, and comorbidities.

METHODS

Data Sharing

All data relevant to the study are included within the article and the supplemental material. No additional data are available.

Study Population

The study population comprised all people aged 18 years and over residing in NSW, Australia, with an acute public or private hospital admission for cardiovascular conditions from July 1, 2008 to June 30, 2018. The state of NSW has the largest population in Australia; in June 2021 this was estimated to be 8.2 million residents (32% of Australia).

Data Source

Data were sourced from linked NSW Health Admitted Patient Data Collection, Emergency Department Data Collection, and death records from the Registry of Births, Deaths, and Marriages. The linked data set included a census of all inpatient admissions to public and private hospitals, public hospital emergency department presentations, and deaths registered in NSW. For each admission, sociodemographics, clinical diagnoses and procedures performed, and patient status at discharge were recorded. Clinical diagnoses and procedures were classified using the International Classification of Diseases, Tenth Revision, Australian Modification (ICD‐10‐AM) and Australian Classification of Health Interventions, respectively. From the study population, we identified all people who underwent a cardiac implant, and using the principal diagnosis, we selected conditions where >10% of individuals had a cardiac implant (Table S1). Individuals were then classified into 3 diagnostic groups, with (1) cardiac arrhythmia, (2) cardiomyopathy, and (3) syncope (Table S2). The cardiac arrhythmia cohort was subcategorized into complete heart block, other heart block, atrial fibrillation/atrial flutter, ventricular tachycardia/ventricular fibrillation/cardiac arrest (VT/VF/cardiac arrest), sick sinus syndrome, and other arrhythmia. The cardiomyopathy cohort was subcategorized into ischemic and nonischemic cardiomyopathy.

Study Outcome Measures

The main study factor of interest was whether sex disparities existed in men versus women presenting to hospital with acute cardiovascular conditions who subsequently had a CIED implanted. Implantation of these devices was defined according to Australian Classification of Health Interventions procedure codes (Table S3). Implantation of a left ventricular lead was used to identify CIEDs with CRT capability. The primary outcome was implantation rate of a CIED and secondary outcomes were implantation rates for pacemaker, ICD, or CRT in the arrhythmia, cardiomyopathy, and syncope cohorts (and subcategories). We examined if implantation varied over the 10‐year period; and in emergency (based on care or treatment required within 24 hours, public hospitals only), versus nonemergency (elective) implantation. We also report by sex, median days from admission to implant, median number of admissions from diagnosis to implant, median length of stay for implant insertion (days), and mortality rate per 100 patients at 30 days. Additional covariates included sociodemographics, age category (18–44, 45–64, 65–74, 75–84, 85+ years), geographical location (based on the postcode of residence and categorized into major cities, inner regional areas, and outer regional/rural/remote areas according to the Australian Statistical Geography Standard Remoteness Structure ), and comorbidities (determined using the Elixhauser classification. ).

Ethics

The study was approved by the University of Sydney Human Research Ethics Committee. As it was a retrospective study, informed consent was not required.

Statistical Analysis

Descriptive analyses were conducted to assess frequency and rate of cardiac implants by cardiac condition and sociodemographic characteristics of each condition subtype. Baseline characteristics of men and women were compared using chi‐square tests. Adjusted odds ratios (aOR) for implantation of a device in women compared with men were obtained from logistic regression models adjusting for age in years (as restricted cubic spline with 4 degrees of freedom), and indicators for each Elixhauser comorbidity. Mortality rates were calculated using survival analysis and log‐rank test applied to compare 30‐day mortality rates for those who did and did not have a pacemaker, ICD, or CRT implant by each cardiac condition and stratified by sex. Modeling of interaction of sex for each pacing group and diagnosis was performed. Time to implant was calculated by calculating median number of days of admissions before implant, and outcomes following implant including median length of stay in hospital were also determined and compared using Wilcoxon rank sum tests. Sex differences in emergent implantation of devices were compared using chi‐square tests. All analyses were conducted in SAS V9.4 (Cary, NC) and R 4.0.2 (R Core Team, 2020). Authors T‐BP, NN, and CKC had full access to all data in the study and take responsibility for the integrity of the data and the accuracy of the data analysis.

RESULTS

The study cohort consisted of 1 291 258 patients with an acute cardiovascular condition (“all patients”). Of these patients, 287 563 had a principal diagnosis of arrhythmia, cardiomyopathy, or syncope. Overall, less cardiovascular presentations were women (45.9%) compared with men (54.1%); however, with respect to arrhythmia, the proportion of male cardiovascular presentations due to arrhythmia (13.5%) were similar to the proportion of women (13.3%). Men were younger and had more comorbidities (Table 1).
Table 1

Characteristics of the Baseline Patient Population

Male sex

No. (%; 95% CI)

Female sex

No. (%; 95% CI)

P value
All patients698 997 (100)592 261 (100)<0.001
Arrhythmia94 449 (13.51; 13.43–13.59)78 721 (13.29; 13.21–13.38)<0.001
Complete heart block4192 (0.60; 0.58–0.62)2840 (0.47; 0.46–0.50)<0.001
Other heart block4274 (0.61; 0.59–0.63)2930 (0.49; 0.48–0.51)<0.001
Sick sinus syndrome3180 (0.45; 0.44–0.47)3473 (0.59; 0.57–0.61)<0.001
Atrial fibrillation/flutter62 941 (9.00; 8.94–9.07)58 253 (9.84; 9.76–9.91)<0.001
Ventricular tachycardia/ventricular fibrillation/cardiac arrest10 914 (1.56; 1.53–1.59)4533 (0.77; 0.74–0.79)<0.001
Other arrhythmia9609 (1.37; 1.35–1.40)7511 (1.27; 1.24–1.30)<0.001
Cardiomyopathy13 596 (1.95; 1.91–1.98)12 455 (2.10; 2.07–2.14)<0.001
Ischemic3167 (0.45; 0.44–0.47)2130 (0.36; 0.34–0.38)<0.001
Nonischemic12 427 (1.78; 1.75–1.81)12 177 (2.06; 2.02–2.09)0.111
Syncope43 242 (6.17; 6.13–6.24)45 100 (7.61; 7.55–7.68)<0.001
Cardiac device implant18 191 (2.60; 2.57–2.64)10 889 (1.84; 1.80–1.87)<0.001
Pacemakers13 052 (1.87; 1.84–1.90)9420 (1.59; 1.56–1.62)<0.001
Implantable cardiac defibrillators5285 (0.76; 0.74–0.78)1523 (0.26; 0.24–0.27)<0.001
Cardiac resynchronization therapy2076 (0.30; 0.28–0.31)1131 (0.19; 0.18–0.20)<0.001
Age, y<0.001
18–4483 733 (11.98; 11.90–12.06)64 904 (10.96; 10.88–11.04)<0.001
45–64222 007 (31.76; 31.65–31.87)144 593 (24.41; 24.30–24.52)<0.001
65–74160 191 (22.91; 22.82–23.02)112 977 (19.08; 18.96–19.18)<0.001
75–84154 441 (22.09; 2.00–22.19)150 480 (25.41; 25.30–25.52)<0.001
85+78 625 (11.25; 11.17–11.32)119 307 (20.14; 20.04–20.25)<0.001
Region
Major cities475 175 (67.98; 67.87–68.09)405 798 (68.52; 68.40–68.63)<0.001
Inner regional164 729 (23.57; 23.47–23.67)140 232 (23.68; 23.57–23.79)<0.001
Outer regional/remote59 093 (8.45; 8.34–8.52)46 232 (7.81; 7.74–7.87)<0.001
Comorbidities
Cancer9595 (1.37; 1.35–1.40)6706 (1.13; 1.11–1.16)<0.001
Congestive heart failure34 870 (4.99; 4.94–5.04)26 851 (4.53; 4.48–4.57)<0.001
Diabetes127 763 (18.27; 18.19–18.37)90 881 (15.34; 15.25–15.44)<0.001
Hypertension137 794 (19.71; 19.62–19.81)110 409 (18.64; 18.54–18.74)<0.001
Obesity7689 (1.10; 1.08–1.12)5777 (0.98; 0.95–1.00)<0.001
Renal failure47 457 (6.79; 6.73–6.85)33 727 (5.69; 5.64–5.75)<0.001
Other comorbidity286 599 (41.00; 40.89–41.12)228 397 (38.56; 38.44–38.69)<0.001

“All patients” are all patients aged over 18 years who presented with selected cardiovascular conditions to a hospital in New South Wales from 2008to 2018 (see Table S1 for International Classification of Diseases, Tenth Revision, Australian Modification codes). Percentages provided are of total men and total women included, respectively.

Characteristics of the Baseline Patient Population Male sex No. (%; 95% CI) Female sex No. (%; 95% CI) “All patients” are all patients aged over 18 years who presented with selected cardiovascular conditions to a hospital in New South Wales from 2008to 2018 (see Table S1 for International Classification of Diseases, Tenth Revision, Australian Modification codes). Percentages provided are of total men and total women included, respectively. There were some differences in arrhythmia and cardiomyopathy and syncope presentations by sex. As a proportion of all cardiovascular hospitalizations, men were more likely to present with complete heart block (0.60% [95% CI, 0.58–0.62] versus 0.47% [95% CI, 0.46–0.50], P<0.001), other heart block (0.61% [95% CI, 0.59–0.63] versus 0.49% [95% CI, 0.48–0.51], P<0.001), VT/VF/cardiac arrest (1.56% [95% CI, 1.53–1.59] versus 0.77% [95% CI, 0.74–0.79], P<0.001), other arrhythmias (1.37% [95% CI, 1.35–1.40] versus 1.27% [95% CI, 1.24–1.30], P<0.001), and ischemic cardiomyopathy (0.45% [95% CI, 0.44–0.47] versus 0.36% [95% CI, 0.34–0.38], P<0.001). In contrast, women were more likely to present with sick sinus syndrome (0.59% [95% CI, 0.57–0.61] versus 0.45% [95% CI, 0.44–0.47], P<0.001), atrial fibrillation/atrial flutter (9.84% [95% CI, 9.76–9.91] versus 9.00% [95% CI, 8.94–9.07], P<0.001), cardiomyopathy (2.10% [95% CI, 2.07–2.14] versus 1.95% [95% CI, 1.91–1.98], P<0.001), and syncope (7.61% [95% CI, 7.55–7.68] versus 6.17% [95% CI, 6.13–6.24], P<0.001). A CIED was implanted in 29 080 (2.25% [95% CI, 2.23–2.28]) patients (Table 1). Most devices were implanted in urban centers and a higher proportion of men received a CIED device (2.60% [95% CI, 2.57–2.65]) compared with women (1.84%, [95% CI, 1.80–1.887]) (P<0.001). pacemakers were the most common device implanted (n=22 472, 77.3% [95% CI, 76.8–77.8] of all CIEDs) and men had higher implant rates than women (1.87% [95% CI, 1.84–1.90] versus 1.59% [95% CI, 1.56–1.62], P<0.001). ICDs (23.4% [95% CI, 22.9–23.9] of all CIEDs) were also implanted at higher rates in men (0.76% [95% CI, 0.74–0.78]) versus women (0.26% [95% CI, 0.24–0.27]) (P<0.001). Similarly, CRTs (11% [95% CI, 10.7–11.4] of CIEDs) were implanted at higher rates in men (0.30% [95% CI, 0.28–0.31]) versus women (0.19% [95% CI, 0.18–0.20]). Baseline data stratified by CIED type are presented in Table S4. The proportion of men versus women receiving pacemakers, ICDs, and CRTs did not change noticeably over the 10‐year study period (Figure 1).
Figure 1

Trends in insertion of cardiac devices for men vs women by device type.

Percentage of patients receiving CIEDs stratified by sex and device type over study period (2008–2018). Denominator is all men or women, respectively, aged over 18 years who presented with selected cardiovascular conditions to a hospital in New South Wales in each year from 2008 to 2018 (see Table S1 for International Classification of Diseases, Tenth Revision, Australian Modification codes). Implant rates have not been adjusted for number and type of presentation, age, or comorbidities. CIED indicates cardiac implantable electronic device and ICD, implantable cardioverter defibrillator.

Trends in insertion of cardiac devices for men vs women by device type.

Percentage of patients receiving CIEDs stratified by sex and device type over study period (2008–2018). Denominator is all men or women, respectively, aged over 18 years who presented with selected cardiovascular conditions to a hospital in New South Wales in each year from 2008 to 2018 (see Table S1 for International Classification of Diseases, Tenth Revision, Australian Modification codes). Implant rates have not been adjusted for number and type of presentation, age, or comorbidities. CIED indicates cardiac implantable electronic device and ICD, implantable cardioverter defibrillator.

Device Implants by Type, Primary Diagnosis in Men Versus Women

Most CIEDs implanted for arrhythmia and syncope were pacemakers, whereas for VT/VF/cardiac arrest and cardiomyopathy the main implanted device was an ICD (Table 2).
Table 2

Implant Rates by Device, Sex, and Primary Diagnosis

Male sexFemale sex
No CIED (%)Pacemaker (%)ICD (%)CRT (%)No CIED (%)Pacemaker (%)ICD (%)CRT (%)
All patients (n=1 291 258)97.40 (97.36–97.43)1.87 (1.84–1.90)0.76 (0.74–0.78)0.30 (0.28–0.31)98.16 (98.13–98.20)1.59 (1.56–1.62)0.26 (0.24–0.27)0.19 (0.18–0.20)
Arrhythmia (n=173 170)86.33 (86.11–86.55)11.26 (11.06–11.46)2.52 (2.42–2.62)1.30 (1.23–1.38)89.69 (89.48–89.90)10.05 (9.84–10.26)0.89 (0.82–0.96)0.99 (0.92–1.06)
Complete heart block (n=7032)30.03 (28.66–31.44)67.96 (66.53–69.36)2.31 (1.90–2.81)5.92 (5.24–6.67)34.79 (33.06–36.56)64.12 (62.34–65.86)1.44 (1.07–1.95)5.95 (5.14–6.88)
Other heart block (n=7204)46.46 (45.05–47.89)51.04 (49.61–52.46)2.90 (2.46–3.42)4.76 (4.19–5.41)48.91 (47.10–50.72)49.39 (47.58–51.20)1.98 (1.53–2.55)4.16 (3.50–4.95)
Sick sinus syndrome (n=6653)33.05 (31.44–34.70)65.50 (63.83–67.14)1.89 (1.47–2.42)5.82 (5.06–6.69)33.60 (32.05–35.19)65.53 (63.94–67.10)0.95 (0.68–1.33)6.22 (5.46–7.07)
Atrial fibrillation/flutter (n=121 194)96.58 (96.44–96.72)2.89 (2.76–3.02)0.55 (0.50–0.61)0.38 (0.33–0.43)97.30 (97.17–97.43)2.56 (2.43–2.69)0.15 (0.13–0.19)0.21 (0.18–0.26)
Ventricular tachycardia/ventricular fibrillation/cardiac arrest (n=15 447)83.79 (83.09–84.47)1.99 (1.74–2.27)14.57 (13.19–15.24)1.59 (1.38–1.85)88.84 (87.89–89.72)1.99 (1.62–2.43)9.51 (8.69–10.40)1.15 (0.88–1.50)
Other arrhythmia (n=17 120)76.95 (76.10–77.80)20.81 (20.01–21.64)2.34 (2.06–2.66)2.44 (2.15–2.76)81.67 (80.78–82.53)17.41 (16.57–18.29)1.00 (0.78–1.25)1.85 (1.57–2.18)
Cardiomyopathy (n=26 051)86.83 (86.25–87.39)2.07 (1.85–2.33)11.48 (10.96–12.03)2.65 (2.39–2.93)95.17 (94.78–95.54)1.11 (0.94–1.31)3.83 (3.51–4.18)1.28 (1.09–1.49)
Ischemic (n=5297)81.62 (80.24–82.93)2.31 (1.84–2.89)16.64 (15.38–17.98)3.13 (2.57–3.79)94.93 (93.91–95.78)1.13 (0.76–1.67)4.00 (3.24–4.91)0.80 (0.50–1.27)
Nonischemic (n=24 604)74.68 (73.91–75.44)1.71 (1.49–1.95)8.36 (7.88–8.86)2.12 (1.88–2.38)81.26 (80.56–81.94)0.97 (0.81–1.16)3.24 (2.94–3.56)1.17 (0.99–1.34)
Syncope (n=88 342)97.92 (97.78–98.05)1.78 (1.66–1.91)0.32 (0.27–0.38)0.17 (0.13–0.21)98.72 (98.61–98.82)1.19 (1.10–1.30)0.10 (0.07–0.13)0.10 (0.08–0.14)

“All patients” are all patients aged over 18 years who presented with selected cardiovascular conditions to a hospital in New South Wales from 2008 to 2018 (see Table S1 for International Classification of Diseases, Tenth Revision, Australian Modification codes). Percentages provided are of total men and total women included in each diagnosis category (rows), respectively. CIED indicates cardiac implantable electronic device; CRT, cardiac resynchronization therapy; and ICD implantable cardioverter defibrillator.

Implant Rates by Device, Sex, and Primary Diagnosis “All patients” are all patients aged over 18 years who presented with selected cardiovascular conditions to a hospital in New South Wales from 2008 to 2018 (see Table S1 for International Classification of Diseases, Tenth Revision, Australian Modification codes). Percentages provided are of total men and total women included in each diagnosis category (rows), respectively. CIED indicates cardiac implantable electronic device; CRT, cardiac resynchronization therapy; and ICD implantable cardioverter defibrillator. For each device and cardiac diagnosis subcategory, women consistently had lower implant rates versus men (Table 2). These sex differences persisted after adjusting for age and comorbidities (Figure 2, Table S5), with women less likely to have pacemaker implantation (aOR, 0.78 [95% CI, 0.76–0.80]), ICD implantation (aOR, 0.43 [95% CI, 0.40–0.45]), and CRT implantation (aOR, 0.66 [95% CI, 0.61–0.71]).
Figure 2

Odds of implantation of devices for women compared with men for selected conditions, adjusted for age and comorbidities.

Odds ratio with 95% CIs for pacemaker, implantable cardioverter defibrillator, and cardiac resynchronization therapy implantation in women versus men, adjusted for age and comorbidities. Odds ratio<1 suggests lower implant rates in women versus men. Additional odds ratio for other subcategories are presented in Table S5. OR indicates odds ratio; VF, ventricular fibrillation; and VT ventricular tachycardia.

Odds of implantation of devices for women compared with men for selected conditions, adjusted for age and comorbidities.

Odds ratio with 95% CIs for pacemaker, implantable cardioverter defibrillator, and cardiac resynchronization therapy implantation in women versus men, adjusted for age and comorbidities. Odds ratio<1 suggests lower implant rates in women versus men. Additional odds ratio for other subcategories are presented in Table S5. OR indicates odds ratio; VF, ventricular fibrillation; and VT ventricular tachycardia. Differences persisted in clinically significant subcategories. For pacemakers, odds of implantation were lower for women compared with men for those diagnosed with cardiac arrhythmia (aOR, 0.72 [95% CI, 0.69–0.74]). The differences were consistent across subcategory indications of complete heart block (aOR, 0.89 [95% CI, 0.8–0.98]), atrial fibrillation/atrial flutter (aOR, 0.65 [95% CI, 0.6–0.7]). Pacemaker implant rates were also lower in women for cardiomyopathy (aOR, 0.62 [95% CI, 0.5–0.77]), and syncope (aOR, 0.70 [95% CI, 0.63–0.79]). Similarly, for ICDs, women were less likely to receive devices for cardiac arrhythmia (aOR, 0.43 [95% CI, 0.4–0.47]). The differences were consistent for specific indications: VT/VF/cardiac arrest (aOR, 0.69 [95% CI, 0.61–0.77]), cardiomyopathy (aOR, 0.41 [95% CI, 0.37–0.45]), ischemic cardiomyopathy (aOR, 0.33 [95% CI, 0.26–0.42]), and for nonischemic cardiomyopathy (aOR, 0.44 [95% CI, 0.3–0.62]). For CRT where the primary diagnosis is cardiomyopathy, odds of implant were lower for women (aOR, 0.62 [95% CI, 0.51–0.75]). This persisted in the subcategories of ischemic cardiomyopathy (aOR, 0.39 [95% CI, 0.22–0.64]) and nonischemic cardiomyopathy (aOR, 0.70 [95% CI, 0.56–0.86]).

Acuity and Clinical Outcomes of Implantation of Cardiac Devices in Men Versus Women

Women compared with men were more likely to require emergency pacemaker implantation (66.8% versus 62.3%, P<0.01) and emergency CRT implantation (58.4% versus 50.7%, P<0.001). There were no sex differences in emergency ICD implantations (women 49% versus men 49.8%, P=0.614). Although there were statistical differences for men and women in median length of time from admission to implant, diagnosis to implant and length of stay for implant insertion, absolute differences in these categories were small (Table S6).

Mortality at 30 Days in Men Versus Women

Mortality rates (at 30 days) are presented in Table 3. Patients receiving CIED had lower 30‐day mortality rates compared with patients not receiving devices. There was a significant interaction for any device by sex on 30‐day mortality in the overall cohort (P<0.001) with higher mortality in men. In this cohort there was also a significant sex interaction for pacemaker use (P<0.001) with higher mortality in men. However, there were no other significant sex interactions for mortality when stratified by specific diagnosis and pacing groups (with smaller sample sizes in these groups). The absolute differences in mortality between sexes were small and not clinically significant.
Table 3

Adjusted* Mortality Rates (95% CI) at 30 Days After Cardiac Implantation for Men Versus Women Stratified by Condition

Male sexFemale sex
No CIEDPacemakerICDCRTNo CIEDPacemakerICDCRT
All conditions 0.02 (0.02–0.02)0.01 (0.01–0.01)0.01 (0.01–0.01)0.01 (0.01–0.01)0.02 (0.02–0.02)0.01 (0–0.01)0.01 (0.01–0.01)0.01 (0–0.01)
Arrhythmia0.02 (0.02–0.02)0.01 (0.01–0.01)0.01 (0.01–0.02)0 (0–0.01)0.01 (0.01–0.01)0.01 (0–0.01)0.01 (0.01–0.01)0 (0–0.01)
Complete heart block0.06 (0.05–0.07)0.01 (0.01–0.02)0.04 (0–0.09)0.02 (0–0.03)0.05 (0.04–0.06)0.01 (0.01–0.01)0.03 (0–0.07)0.01 (0–0.02)
Other heart block0.01 (0.01–0.02)0.01 (0.01–0.01)0.01 (0–0.03)0.02 (0–0.03)0.01 (0.01–0.01)0.01 (0–0.01)0.01 (0–0.02)0.01 (0–0.02)
Sick sinus syndrome0.02 (0.01–0.02)0.01 (0.01–0.01)0 (0–0)0 (0–0.01)0.01 (0.01–0.02)0.01 (0–0.01)0 (0–0)0 (0–0.01)
Atrial fibrillation/atrial flutter0.01 (0.01–0.01)0.01 (0–0.01)0.01 (0–0.02)0 (0–0.01)0.01 (0.01–0.01)0.01 (0–0.01)0.01 (0–0.02)0 (0–0.01)
Ventricular tachycardia/ventricular fibrillation/cardiac arrest0.07 (0.06–0.07)0.01 (0–0.02)0.01 (0–0.01)0 (0–0)0.05 (0.05–0.06)0.01 (0–0.01)0.01 (0–0.01)0 (0–0)
Other arrhythmia0.01 (0.01–0.02)0 (0–0.01)0.01 (0–0.03)0.01 (0–0.01)0.01 (0.01–0.01)0 (0–0.01)0.01 (0–0.02)0. (0–0.01)
Cardiomyopathy0.05 (0.05–0.05)0.01 (0–0.03)0.01 (0–0.01)0.01 (0–0.03)0.04 (0.04–0.04)0.01 (0–0.02)0.01 (0–0.01)0.01 (0–0.02)
Ischemic cardiomyopathy0.07 (0.06–0.08)0.02 (0–0.06)0.01 (0–0.02)0.01 (0–0.04)0.06 (0.05–0.06)0.02 (0–0.05)0.01 (0–0.02)0.01 (0–0.04)
Nonischemic cardiomyopathy0.05 (0.04–0.05)0.01 (0–0.02)0.01 (0–0.01)0.01 (0–0.03)0.04 (0.03–0.04)0.01 (0–0.02)0 (0–0.01)0.01 (0–0.02)
Syncope0.01 (0.01–0.01)0.01 (0.00–0.01)0 (0–0)0 (0–0)0.01 (0.01–0.01)0.00 (0–0.01)0 (0–0)0 (0–0)

“All patients” are all patients aged over 18 who presented with selected cardiovascular conditions to a hospital in New South Wales from 2008 to 2018 (see Table S1 for International Classification of Diseases, Tenth Revision, Australian Modification codes). CIED indicates cardiac implantable electronic device; CRT cardiac resynchronization therapy; and ICD implantable cardioverter defibrillator.

Rates are adjusted for age and presence of Elixhauser comorbidities.

There was a significant sexinteraction for use of any device and for use of pacemaker in all conditions cohort (P<0.001 for both). There were no other significant sex interactions for other subgroups or pacing groups.

Adjusted* Mortality Rates (95% CI) at 30 Days After Cardiac Implantation for Men Versus Women Stratified by Condition “All patients” are all patients aged over 18 who presented with selected cardiovascular conditions to a hospital in New South Wales from 2008 to 2018 (see Table S1 for International Classification of Diseases, Tenth Revision, Australian Modification codes). CIED indicates cardiac implantable electronic device; CRT cardiac resynchronization therapy; and ICD implantable cardioverter defibrillator. Rates are adjusted for age and presence of Elixhauser comorbidities. There was a significant sexinteraction for use of any device and for use of pacemaker in all conditions cohort (P<0.001 for both). There were no other significant sex interactions for other subgroups or pacing groups.

DISCUSSION

This is the largest study to systematically examine implant rates for cardiac devices ( pacemakers, ICDs, and CRTs) in men versus women, stratified by implant diagnosis and adjusted for age and comorbidities. There were 4 important findings. First, primary diagnosis leading to device implantation differed by sex. Men were more likely to be treated for complete heart block, VT/VF/cardiac arrest, and ischemic cardiomyopathy, and women for sick sinus syndrome, atrial fibrillation/atrial flutter, and syncope. Second, implant rates for all 3 major cardiac devices (pacemakers, ICDs, and CRTs) were lower in women than men, across nearly all major indications when adjusted for age and comorbidities. Importantly, sex differences were seen in complete heart block, VT/VF/cardiac arrest, and ischemic cardiomyopathy. Third, sex differences in implantation rates remained unchanged over the 10‐year study period. Finally, 30‐day mortality rates were higher (for both men and women) in patients who did not receive a device compared with those who did, and this was consistent across indications.

Lower Implantation Rates of Pacemakers, ICDs, and CRT in Women

Few studies have compared CIED implant rates by sex and those that have yielded conflicting results. In German pacemaker registries, a lower proportion of devices were implanted in men than in women but such a difference could be because of inherent differences in arrhythmia burden, age, and comorbidities that were not explored in detail in that analysis. An older US study (1989–1990) with similar methodology to ours found that the odds of pacemaker insertion (adjusted for age and comorbidities) were 28% higher in men and similar to our own study (22% lower odds of pacemaker insertion in women). Noting that this study is now more than 30 years old, we also note that this study did not stratify by implantation diagnosis. This is important as our study and others have shown that the prevalence of arrhythmias and cardiomyopathy differs in men and women. From our study, differences in odds of pacemaker implantation for women seem particularly concerning for the indications of complete heart block (11% lower odds), atrial fibrillation (35% lower odds), and syncope (30% lower odds). We acknowledge that there is considerable clinical heterogeneity in treatment of atrial fibrillation and syncope, with these conditions not always requiring devices (for example, vasodepressor syncope). In this indication, lower pacemakers could be related to underlying differences in diagnosis by sex. However, indications for pacing in complete heart block are more definite, suggesting pacemaker underuse and arguably, a sex bias in implantation for women. In contrast to pacemakers, sex disparities between ICD and CRT implant rates, particularly in the context of heart failure, have been more extensively studied, although findings are still conflicting. Early US Medicare studies using discharge coding (without adjustment for confounders) found that women were less likely to receive ICDs for the prevention of sudden cardiac death , and less likely to receive CRT for heart failure. Subsequent studies in the United States and Canada using similar methodology but adjusting for age and comorbidities demonstrated that women were ≈3 times less likely to receive ICD therapy for primary or secondary prevention of sudden cardiac death. , In comparison to these data, prospective multicenter registries such as GWTG (Get With the Guidelines)) allow a complementary, granular understanding of indications and use of ICDs and CRT with provision of ECG criteria (including left bundle‐branch block) and left ventricular ejection fraction. El Chami found that female sex was associated with reduced implantation of all devices for patients with a left ventricular ejection fraction <40%, and Al Khatib similarly demonstrated that these sex differences have persisted over time despite the intentions of the GWTG quality improvement project. Our study complements these prospective registries (which may be biased as the GWTG program likely attracts hospitals committed to quality improvement) as well as the older Medicare studies by including the broadest array of device types and indications in a contemporary population.

Reasons for These Sex‐Based Disparities

The underlying cause of these sex differences is unclear. Importantly, it is difficult from the nature of this study to determine if the sex differences described are truly a result of deviation from good clinical care. Although this population‐level snapshot allows an understanding of implantation trends and real‐world practices, implantation diagnoses based on clinical coding do not have the granularity to optimally determine eligibility for each CIED. For example, although this study used ICD‐10‐AM coding for cardiomyopathy and VT/VF/cardiac arrest to identify the population that may receive ICDs and CRTs, the authors did not have access to ECGs or echocardiograms to determine if patients met criteria for CRT use, nor the angiographic data to determine if there was an ischemic cause for VT/VF/cardiac arrest that might preclude need for an ICD. Thus, in comparison to prospective studies, it is difficult to conclude that the observed sex differences are a result of sex‐based disparities or purely differing eligibility between the 2 sexes. In fact, it could be that these observed differences in CIED use are a result of clinician recognition of inherent differences in arrhythmia risk and cardiomyopathy presentations between men and women. For example, heart failure with preserved ejection fraction may contribute to a larger proportion of women than men with cardiomyopathy. , Further, women with heart failure have a lower risk of sudden cardiac death than men but a higher risk of acute complications from CIED implant. , , It is possible that the sex differences observed are because of the treating physician responding appropriately to these clinical differences. However, although this may explain specific scenarios of lower ICD and CRT use in cardiomyopathy, it cannot explain the broad array of inequity in device provision across nearly all indications, including complete heart block and VT/VF and cardiac arrest. That is, it seems unlikely that misclassification due to clinical eligibility would be so consistent to result in women consistently having lower rates of implants across all diagnoses for devices. In fact, there is convincing evidence in the literature of sex bias affecting CIED implantation. Although a random survey of 1210 American College of Cardiology physicians demonstrated that they reported being willing to offer ICDs equally to men and women, in real‐world observational analyses (with the GWTG‐Heart Failure quality improvement project) Hernandez et al. found that <40% of eligible hospitalized patients with heart failure received ICDs, with reduced odds of implantation for White women (0.62) and Black women (0.56) compared with White men. Women were less frequently counseled than men about ICD implantation. This is concerning as some studies indicate women may be more anxious about implantation and more likely to refuse device implantation. It is likely that, similar to causes of sex differences in the treatment of coronary artery disease, where women with ST‐segment–elevation myocardial infarction are less likely to receive invasive management, revascularization, or preventative medications compared with men, , , the observed sex differences in our study are secondary to a complex combination of biological differences and sex bias. Regardless of cause, these findings contribute to a growing global awareness of the need to address these disparities.

Survival After CIED Implantation

In the current study, 30‐day mortality (adjusted for age and comorbidities) was higher in both men and women who did not receive a device, compared with those who did, possibly reflecting selection bias for device insertion. Our data suggested a sex interaction for mortality rates at 30 days for any pacing use and pacemaker use (the largest group of any pacing) with higher mortality in men; however, absolute differences were small. In a recent survival analysis of a pacemaker registry, survival rates for men and women were similar for pacemaker and ICD but significantly improved for women receiving CRT‐defibrillator and CRT‐pacemaker compared with men.

Study Limitations

This study has several limitations. First, using an administrative database reliant on hospital discharge coding, uncoded and confounding variables may have existed that were evident to the clinician making the selection of pacing system but that we cannot consider in our analysis. For example, although controlling for comorbidities, this study cannot account for differences in frailty and functional capacity between sexes that may have affected clinician decision‐making. Previous studies suggest that this administrative coding has reasonable accuracy compared with registries. Second, with regard to implant numbers, no differentiation is made between generator changes for end‐of‐life battery and new implantation of a device and hence actual number of devices performed in NSW may have been lower than described. Nevertheless, these data allow a reasonable estimate of the relative percentage and implant rates of the device types.

CONCLUSIONS

This analysis of a large‐scale, real‐world and contemporary data set confirms the existence, and persistence over time, of underuse of CIEDs in women. With increasing use of cardiac devices globally, this research should provoke further examination of the reasons for these concerning sex differences as well as ways to address them.

Sources of Funding

This work was funded by the New South Wales Ministry of Health as part of the Co‐Creating Evidence from High Value Public Health Data initiative, in which researchers and policy makers co‐create policy relevant evidence and insights using linked administrative health data. Andrew Wilson is co‐director of the Australian Prevention Partnership Centre, which is jointly funded by the National Health and Medical Research Council (NHMRC), the ministries of health of the Australian, NSW, ACT, and Tasmanian governments, Victoria Health, and Cancer Council Australia. Clara K Chow is supported by an NHMRC Investigator grant (APP1195326). Saurabh Kumar is supported by the NSW Early‐Mid Career Fellowship. Sarah Zaman is supported by a National Heart Foundation Fellowship.

Disclosures

None. Tables S1–S6 Click here for additional data file.
  35 in total

Review 1.  2015 ESC Guidelines for the management of patients with ventricular arrhythmias and the prevention of sudden cardiac death: The Task Force for the Management of Patients with Ventricular Arrhythmias and the Prevention of Sudden Cardiac Death of the European Society of Cardiology (ESC)Endorsed by: Association for European Paediatric and Congenital Cardiology (AEPC).

Authors:  Silvia G Priori; Carina Blomström-Lundqvist; Andrea Mazzanti; Nico Blom; Martin Borggrefe; John Camm; Perry Mark Elliott; Donna Fitzsimons; Robert Hatala; Gerhard Hindricks; Paulus Kirchhof; Keld Kjeldsen; Karl-Heinz Kuck; Antonio Hernandez-Madrid; Nikolaos Nikolaou; Tone M Norekvål; Christian Spaulding; Dirk J Van Veldhuisen
Journal:  Europace       Date:  2015-08-29       Impact factor: 5.214

2.  Trends in use of implantable cardioverter-defibrillator therapy among patients hospitalized for heart failure: have the previously observed sex and racial disparities changed over time?

Authors:  Sana M Al-Khatib; Anne S Hellkamp; Adrian F Hernandez; Gregg C Fonarow; Kevin L Thomas; Hussein R Al-Khalidi; Paul A Heidenreich; Stephen Hammill; Clyde Yancy; Eric D Peterson
Journal:  Circulation       Date:  2012-01-27       Impact factor: 29.690

3.  Differences in management and outcomes for men and women with ST-elevation myocardial infarction.

Authors:  Ehsan Khan; David Brieger; John Amerena; John J Atherton; Derek P Chew; Ahmad Farshid; Marcus Ilton; Craig P Juergens; Nadarajah Kangaharan; Rohan Rajaratnam; Amy Sweeny; Darren L Walters; Clara K Chow
Journal:  Med J Aust       Date:  2018-07-23       Impact factor: 7.738

4.  Gender differences in dual-chamber pacemaker implantation indications and long-term outcomes.

Authors:  Maciej Dębski; Mateusz Ulman; Andrzej Ząbek; Kazimierz Haberka; Jacek Lelakowski; Barbara Małecka
Journal:  Acta Cardiol       Date:  2016-02       Impact factor: 1.718

5.  Do physicians' attitudes toward implantable cardioverter defibrillator therapy vary by patient age, gender, or race?

Authors:  Sana M Al-Khatib; Gillian D Sanders; Sean M O'Brien; Daniel Matlock; Louise O Zimmer; Frederick A Masoudi; Eric Peterson
Journal:  Ann Noninvasive Electrocardiol       Date:  2011-01       Impact factor: 1.468

6.  Sex differences in the use of implantable cardioverter-defibrillators for primary and secondary prevention of sudden cardiac death.

Authors:  Lesley H Curtis; Sana M Al-Khatib; Alisa M Shea; Bradley G Hammill; Adrian F Hernandez; Kevin A Schulman
Journal:  JAMA       Date:  2007-10-03       Impact factor: 56.272

7.  Sex and racial differences in the use of implantable cardioverter-defibrillators among patients hospitalized with heart failure.

Authors:  Adrian F Hernandez; Gregg C Fonarow; Li Liang; Sana M Al-Khatib; Lesley H Curtis; Kenneth A LaBresh; Clyde W Yancy; Nancy M Albert; Eric D Peterson
Journal:  JAMA       Date:  2007-10-03       Impact factor: 56.272

8.  Gender disparity in the use of cardiac resynchronization therapy in the United States.

Authors:  Jamshid Alaeddini; Mark A Wood; Mitesh S Amin; Kenneth A Ellenbogen
Journal:  Pacing Clin Electrophysiol       Date:  2008-04       Impact factor: 1.976

9.  Gender and ethnic differences in hospital-based procedure utilization in California.

Authors:  M K Giacomini
Journal:  Arch Intern Med       Date:  1996-06-10

10.  Sex Differences Persist in Time to Presentation, Revascularization, and Mortality in Myocardial Infarction Treated With Percutaneous Coronary Intervention.

Authors:  Julia Stehli; Catherine Martin; Angela Brennan; Diem T Dinh; Jeffrey Lefkovits; Sarah Zaman
Journal:  J Am Heart Assoc       Date:  2019-05-21       Impact factor: 5.501

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