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European Heart Journal logoLink to European Heart Journal
. 2017 Jan 8;38(19):1485–1494. doi: 10.1093/eurheartj/ehw598

Increasing sex differences in the use of cardiac resynchronization therapy with or without implantable cardioverter-defibrillator

Neal A Chatterjee 1, Rasmus Borgquist 2, Yuchiao Chang 3, Jennifer Lewey 4, Vicki A Jackson 5, Jagmeet P Singh 1, Joshua P Metlay 3, Charlotta Lindvall 6,*
PMCID: PMC5837710  PMID: 28065904

Abstract

Aims

Previous studies have identified sex disparities in the use of cardiac resynchronization therapy (CRT) and implantable cardioverter defibrillators (ICD), although the basis of underutilization in women remains poorly understood. The aim of this study was to assess sex differences in patterns of CRT use with our without ICD.

Methods and results

In this cross-sectional study using the National Inpatient Sample database we identified 311 009 patients undergoing CRT implantation in the United States between 2006 and 2012. Demographic and clinical characteristics were compared between men and women undergoing CRT implantation, with special attention to clinical predictors of left ventricular reverse remodelling (CRT response, score range: 0–4) and reduced ICD efficacy (score range: 0–7). When compared to men, women undergoing CRT implantation were significantly more likely to have ≥ 3 predictors of CRT response (47.3 vs. 33.2%, P < 0.001) and less likely to have ≥3 predictors of reduced ICD efficacy (27.0 vs. 37.3%, P < 0.001). Despite this, men were significantly more likely to undergo CRT with ICD (CRT-D) as the type of CRT (88.6 vs. 80.1% of all CRT implants). Compared to those with the greatest likelihood of CRT response (score ≥ 3), those with the least likelihood of CRT response had a significant decreased odds of CRT-D implant (adj odds ratio 0.27 [0.24–0.31], P < 0.001), with a greater decreased odds in women compared to men (P, for sex interaction <0.001). The difference in the % of CRT-D implant in men vs. women increased over the study period (P, sex Δ time trend = 0.012).

Conclusion

In this large, contemporary cohort, sex differences in CRT-D implantation were inversely related to predicted CRT efficacy and have increased over time. Future efforts to narrow the gap in CRT-D implantation in men and women may help better align device selection with those most likely to benefit.

Keywords: Cardiac resynchronization therapy , Implantable cardioverter-defibrillator , Sex disparities

Introduction

Cardiac resynchronization therapy (CRT) and implantable cardioverter-defibrillator (ICD) therapy each improve survival in appropriately selected patients with heart failure.1 Implantable cardioverter-defibrillator therapy reduces the risk of sudden arrhythmic death, whereas the mortality benefit of CRT is related, in part, to favourable left ventricular reverse remodelling with related attenuation of both heart failure death as well as ventricular arrhythmias.2,3 As guideline indications for each device therapy frequently overlap,4 ICD implantation is often performed in conjunction with CRT (CRT-D).5

Despite the overall efficacy of CRT and ICD therapy, there is an expanding recognition that their benefit may not be uniform. For example, the survival benefit of ICD therapy may be nullified in the context of increasing comorbidity burden and competing modes of non-arrhythmic death.6 Likewise, the efficacy of CRT may be attenuated in patients with comorbidities which mitigate effective pacing (e.g. atrial fibrillation, AF) or blunt remodelling (e.g. ischaemic cardiomyopathy).7 Of the myriad predictors of CRT efficacy, female sex has been consistently associated with greater reverse remodelling and improved survival.8 Despite this, women are significantly less likely than men to undergo CRT and ICD implantation,9 although the basis for this underutilization remains poorly understood.

In this study, we utilized the National Inpatient Sample to evaluate sex differences in 311 009 individuals undergoing inpatient CRT implant in the United States between 2006 and 2012. Our aims were to (1) assess sex differences in CRT implant type (CRT-D, CRT-P) stratifying by predictors of device efficacy and (2) identify and compare predictors of CRT implant type in men and women. (3) Finally, we examine temporal trends in CRT device selection stratified by sex, with comparison to sex-specific trends in 423 507 individuals undergoing ICD-only implantation.

Methods

Data source

The National Inpatient Sample (NIS) is the largest publicly available all-payer inpatient health care database in the United States, yielding national estimates of diagnoses, procedure utilization, and outcomes for hospital inpatient stays.10 The database contains a nationally representative sample from more than 7 million hospitalizations annually. Applying sample weights provided by NIS, the database projects estimates for more than 36 million hospitalizations annually. The NIS provides data on patient demographics, in-hospital clinical outcomes, hospital characteristics, and hospital charges. Federal hospitals are not included in the NIS. Quality control and validation of the NIS are performed by the Agency for Healthcare Research and Quality (AHRQ; Rockville, MD). The database was provided with de-identified patient information and thus was deemed exempt from institutional review by the Human Research Committee at Massachusetts General Hospital.

Study sample

We identified all adults ≥18 years old who received a CRT device during a hospitalization between 1 January 2006 and 31 December 2012. CRT was defined by the International Classification of Diseases, 9th Revision, Clinical Modification (ICD-9-CM) codes for CRT-P (00.50) and CRT-D (00.51). These two ICD-9-CM codes identify procedures where a total CRT system is implanted and do not identify CRT generator replacement. Sex was documented on all except 77 patients (99.98%). In sensitivity analysis, we additionally examined all adults ≥ 18 years old who underwent ICD implantation (excluding CRT-D) during the same time period. ICD was defined by ICD-9-CM code 37.94.

Covariates and device efficacy scores

Demographic covariates of interest included age, sex, race/ethnicity, primary insurance type (Medicare, Medicaid, Private, and other), and income quartile. Race/ethnicity was reclassified as non-Hispanic white, non-Hispanic black, other (Hispanic, Asian, and Native American), and missing. Other covariates included hospital type (rural, urban non-teaching, and urban teaching), type of admission (elective vs. acute), geographic region, and year of hospital discharge. Cardiovascular comorbidities were identified by ICD-9-CM codes and included coronary artery disease, non-ischaemic cardiomyopathy, history of ventricular arrhythmia or cardiac arrest, AF, left bundle branch block (LBBB), and complete atrio-ventricular (AV) block. Non-cardiovascular comorbidity burden was assessed using the Elixhauser comorbidity measure, which was originally developed using administrative data relying on the ICD-9-CM coding manual for 30 comorbidities.11 In this study, Elixhauser comorbidities were generated from ICD-9-CM diagnosis codes using the AHRQ Comorbidity Software.12 Of note, cardiomyopathy, chronic kidney disease, and history of ventricular arrhythmia were removed from the comorbidity score in order to be analysed independently, and hence, the total number of Elixhauser comorbidities analysed was 27. ICD-9-CM codes used in the data analysis are listed in (see Supplementary material online, Table S1).

To assess the impact of predicted device efficacy on type of CRT implantation, we generated two morbidity-based scores previously shown to be associated with CRT and ICD efficacy. An ICD efficacy score was comprised of seven comorbidities (ischaemic heart disease, chronic kidney disease, diabetes, chronic pulmonary disease, AF, peripheral vascular disease, tobacco use) previously shown to be associated with reduced ICD efficacy in patients with heart failure.6,13,14 For this study, the ICD efficacy score (range 0–7) was reclassified as 0, 1–2, ≥3 given previous studies suggesting that the survival benefit of ICD implant was nullified in the presence of ≥ 3 of the identified comorbidities.6 A CRT response score was comprised of four clinical conditions known to be associated with left ventricular reverse remodelling after CRT implant: non-ischaemic heart disease, LBBB, absence of chronic kidney disease, and absence of AF.8,15,16 The sum of the CRT response variables (range 0–4) was classified as 0, 1–2, or ≥3. While female sex is an established predictor of reverse remodelling following CRT,8 we excluded sex from the CRT response score to allow for direct comparability of CRT response scores between men and women. Exclusion of sex from the CRT response score would underestimate the likelihood of reverse remodelling in women, therefore yielding a conservative estimate by biasing any identified sex differences towards the null.

Statistical analyses

Frequencies, proportions and 95% confidence intervals (CI) were calculated and weighted to reflect national estimates using inverse sampling weights provided by NIS. χ2 tests were used to compare the demographic and clinical characteristics between men and women. Additionally, χ2 tests were used to compare the unadjusted percentage of CRT-D use between female and male patients stratified by different clinical factors. Multivariable logistic regression was used to identify predictors of CRT-D use vs. CRT-P and included demographic, geographic, and clinical covariates (including the CRT response score) detailed above, as well as calendar year (treated as a continuous variable). In addition to the multivariable logistic regression model for the total cohort, separate logistic regression models were fit for each sex in order to show differences in the magnitude of association between covariates and the odds of CRT-D implant in men vs. women. To assess for sex differences in the covariates predictive of CRT-D implantation, covariate-sex interactions were included in the multivariable logistic model. All analyses were performed using survey procedures in SAS version 9.4 (SAS Institute, Cary, NC). A 2-tailed P < 0.05 was considered to indicate statistical significance.

Results

Baseline characteristics

The baseline characteristics of the 311 009 inpatient CRT implants between 2006 and 2012 in the United States are shown in Table 1. In keeping with a contemporary cohort of patients undergoing CRT, the majority of the study cohort was ≥ 65 years of age (N = 222 696; 71.6%). The most prevalent non-heart failure comorbidities were hypertension, diabetes mellitus, and chronic kidney disease. Approximately one-third of patients had ≥ 3 comorbidities associated with reduced ICD efficacy and a similar proportion had ≥ 3 comorbidities associated with CRT response.

Table 1.

Characteristics of patients undergoing CRT implantation, stratified by sex

All Female Male P-value
(n = 311 009) (n = 92 126) (n = 218 883)
Age category 0 .002
 18–54 32 953  (10 .6) 10 016  (10 .9) 22 937  (10 .5)
 55–64 55 360  (17.8) 16 166  (17.5) 39 194  (17.9)
 65–74 95 763  (30 .8) 27 786  (30 .2) 67 977  (31.1)
 75–84 102 047  (32.8) 30 254  (32.8) 71 792  (32.8)
 >85 24 886  (8.0) 7903  (8.6) 16 982  (7.8)
Race <0 .001
 White 196 786  (63.3) 54 702  (59.4) 142 084  (64.9)
 Black 27 584  (8.9) 10 776  (11.7) 16 808  (7.7)
 Othera 27 600  (8.9) 8795  (9.5) 18 805  (8.6)
 Unknown 59 039  (19.0) 17 852  (19.4) 41 187  (18.8)
Primary payer <0 .001
 Medicare 225 428  (72.5) 67 457  (73.2) 157 971  (72.2)
 Medicaid 14 861  (4.8) 5374  (5.8) 9487  (4.3)
 Private 59 977  (19.3) 16 524  (17.9) 43 453  (19.9)
 Otherb 10 338  (3.3) 2652  (2.9) 7686  (3.5)
Low income quartile 80 855  (26.0) 26 183  (28.4) 54 671  (25.0) <0 .001
Region <0 .001
 Northeast 60 734  (19.5) 16 833  (18.3) 43 901  (20 .1)
 Midwest 81 012  (26.0) 24 653  (26.8) 56 359  (25.7)
 South 117 156  (37.7) 35 909  (39.0) 81 246  (37.1)
 West 52 107  (16.8) 14 730  (16.0) 37 377  (17.1)
Hospital location/teaching 0 .076
 Rural 12 334  (4.0) 3904  (4.2) 8430  (3.9)
 Urban, non-teaching 111 393  (35.8) 32 466  (35.2) 78 927  (36.1)
 Urban, teaching 185 034  (59.5) 55 117  (59.8) 129 917  (59.4)
Elective admission 157 275  (50 .6) 46 533  (50 .5) 110 742  (50 .6) 0 .804
CHD and Arrhythmic History
 Coronary disease 204 248  (65.7) 47 311  (51.4) 156 937  (71.7) <0 .001
 Nonischaemic cardiomyopathy 133 107  (42.8) 49 417  (53.6) 83 691  (38.2) <0 .001
 Left bundle branch block 103 625  (33.3) 36 142  (39.2) 67 483  (30 .8) <0 .001
 Ventricular arrhythmia 77 926  (25.1) 18 473  (20 .1) 59 453  (27.2) <0 .001
 Atrial fibrillation 116 400  (37.5) 32 257  (35.0) 84 243  (38.5) <0 .001
 Complete AV block 28 083  (9.0) 8455  (9.2) 19 628  (9.0) 0 .382
Comorbidities
 Diabetes 102 483  (33.0) 29 820  (32.4) 72 663  (33.2) 0 .038
 Chronic kidney disease 64 714  (20 .8) 16 110  (17.5) 48 604  (15.6) <0 .001
 Chronic lung disease 65 309  (21.0) 20 033  (21.7) 45 276  (20 .7) 0 .007
 Anemia 33 404  (10 .7) 11 332  (12.3) 22 072  (10 .1) <0 .001
 Hypertension 180 764  (58.1) 54 028  (58.6) 126 736  (57.9) 0 .082
 Peripheral vascular disease 27 789  (8.9) 6364  (6.9) 21 425  (9.8) <0 .001
 Tobacco use 60 481  (19.4) 13 807  (15.0) 46 673  (21.3) <0 .001
Reduced ICD efficacy score ≥3c 106 558  (34.3) 24 919  (27.0) 81 639  (37.3) <0 .001
CRT response score ≥3d 116 223  (37.4) 43 560  (47.3) 72 663  (33.2) <0 .001

Percentages may not sum to 100 given missing data.

AV, atrio-ventricular; CRT, cardiac resynchronization therapy; ICD, implantable cardioverter-defibrillator.

a

Includes Hispanic, Asian or Pacific Islander, Native American, and other.

b

Includes self-pay, no charge, and other.

c

Comprised of seven comorbidities associated with increased mortality and reduced ICD efficacy in patients with heart failure: ischaemic heart disease, atrial fibrillation, diabetes mellitus, chronic lung disease, chronic kidney disease, peripheral vascular disease, and smoking. Presence of ≥ 3 comorbidities previously shown to negate survival benefit of primary prevention ICD 6.

d

Comprised of four clinical covariates associated with left ventricular reverse remodeling and improved clinical outcomes following CRT: non-ischaemic cardiomyopathy, left bundle branch block, absence of chronic kidney disease, and absence of atrial fibrillation.

When stratified by sex, there were significant differences in demographic and clinical characteristics (Table 1). Men undergoing CRT were more likely to be white (64.9 vs. 59.4%, P < 0.001) and were more likely to be undergoing ICD for secondary prevention (i.e. history of ventricular arrhythmia and/or cardiac arrest) (27.2 vs. 20.1%, P < 0.001) compared to women. In contrast, women were more likely to have ≥ 3 predictors of CRT response (47.3 vs. 33.2%, P < P < 0.001) including non-ischaemic cardiomyopathy (53.6 vs. 38.2%, P < 0.001) and were less likely to have ≥ 3 comorbidities associated with reduced ICD efficacy (27.0 vs. 37.3%, P < 0.001).

Sex differences in use of CRT-D

In the total cohort, there was a higher percentage of CRT-D use in men compared to women (88.6 vs. 80.1%, P < 0.001) and this excess proportion was consistently present in multiple subgroups (Table 2). The majority of both men and women with a secondary prevention indication for ICD (i.e. ventricular arrhythmia or cardiac arrest) underwent CRT-D implant (95.6 vs. 92.7%) and the sex difference in % CRT-D implant was similarly small in those with non-ischaemic cardiomyopathy and LBBB. In contrast, the difference in percentage of CRT-D use in men vs. women was greatest in those with AF (absolute Δ: +18.6 [17.0 to 20.3]%) and was also increased in those with chronic kidney disease and those ≥ 80 years of age (Table 2; Figure 1).

Table 2.

Percentage of CRT implants with ICD  (CRT-D), stratified by sex

% CRT-D
Female Male Difference, %  (95% CI)a
(n = 73 822) (n = 194 016)
Overall 80.1 88.6 8.5  (7.6–9.4)
Age
 < 80 years 85.3 91.4 6.2  (5.3–7.0)
 ≥ 80 years 63.2 79.0 15.8  (14.0–17.6)
Type of admission
 Elective 82.3 89.7 7.4  (6.3–8.6)
 Acute 77.9 87.6 9.7  (8.4–10.9)
Cardiac history
 Ventricular arrhythmia 92.7 95.6 2.9  (2.0–3.9)
 Non-ischaemic cardiomyopathy 86.5 90.3 3.8  (3.0–4.7)
 Left bundle branch block 88.8 91.8 3.0  (2.2–3.9)
 Atrial fibrillation 65.5 84.0 18.6  (17.0–20.3)
 Complete AV block 59.1 73.8 14.6  (11.9–17.4)
Chronic kidney disease 78.0 87.9 10.0  (8.4–11.5)
Reduced ICD Efficacyb
 0 85.5 87.8 2.4  (0.6–4.1)
 1–2 79.2 88.7 9.5  (8.3–10.7)
 ≥3 79.1 88.7 9.6  (8.3–10.7)
CRT response variablesc
 0 59.4 83.6 24.2  (19.9–28.6)
 1–2 71.6 86.8 15.2  (13.8–16.7)
 ≥3 90.5 92.8 2.3  (1.6–3.1)
a

All comparisons between female and age male had P < 0.05.

b

Comprised of seven comorbidities associated with increased mortality and reduced ICD efficacy in patients with heart failure: ischaemic heart disease, atrial fibrillation, diabetes mellitus, chronic lung disease, chronic kidney disease, peripheral vascular disease, and smoking.

c

Comprised of four conditions associated with an increased likelihood of left ventricular reverse remodeling following CRT: non-ischaemic cardiomyopathy, left bundle block, absence of chronic kidney disease, and absence of atrial fibrillation.

Figure 1.

Figure 1

Sex differences in CRT-D implantation: impact of demographics, comorbidities, and predicted device efficacy. Shown is the percentage of CRT implantation with concurrent ICD (CRT-D) in men compared to women within demographic and clinical subgroups of interest. Highlighted is the sex difference in % CRT-D in those with LBBB, NICM, or prior VTA compared to the sex differences amongst those with AF, age ≥ 80 years, and CKD. As comorbidities are known to influence device efficacy, sex differences in CRT-D implantation are shown as stratified by predicted probability of LV reverse remodelling following CRT and probability of diminished ICD efficacy. CRT, cardiac resynchronization therapy; CRT-D, CRT with implantable cardioverter defibrillator; CRT-P, CRT with pacemaker; AF, atrial fibrillation; LBBB, left bundle branch block; NICM, non-ischaemic cardiomyopathy; VTA, ventricular tachyarrhythmia; CKD, chronic kidney disease; LV, left ventricular.

We next assessed unadjusted sex differences in CRT-D implant within strata of predicted device efficacy (Table 2). Amongst those with the greatest predicted CRT efficacy (i.e. CRT response score ≥3), more than 90% of men and women underwent CRT-D implant (absolute Δ: +2.3 [1.6–3.1]%). Likewise, in those with the greatest predicted benefit from ICD implant (i.e. reduced ICD efficacy score of 0), more than 85% underwent CRT-D implant with a similarly minimal difference between sexes (Δ, men vs. women: +2.4 [0.6–4.1]%). In contrast, the sex difference in % CRT-D increased significantly in those with decreased predicted device efficacy. For example, the absolute difference in percentage of CRT-D use in men vs. women was +15.2 [13.8 to 16.7]% in those with 1–2 CRT response predictors and +24.2 [19.9–28.6]% in those with 0 CRT response predictors (Figure 1). Likewise, the sex difference increased in those predicted to have reduced ICD benefit (e.g. Δ, men vs. women with reduced ICD efficacy score ≥3: +9.6 [8.3–10.7]%).

Predictors of CRT-D in men compared to women

We next assessed multivariable predictors of CRT implant type in men compared to women. As shown in Table 3, demographic (younger age, black race), geographic (Northeast region), temporal (calendar year), and clinical predictors (history of ventricular arrhythmia, coronary artery disease) of CRT-D were similar in men compared women in multivariable-adjusted models. In contrast, the impact of predicted CRT response on the odds of CRT-D implant was significantly different in men compared to women, even after multivariable-adjustment. When compared to those with ≥ 3 CRT response predictors, the presence of 0 response predictors was associated with a 60% decreased odds of CRT-D in men (odds ratio (OR) 0.40 [0.34 to 0.46]) and an 84% decreased odds of CRT-D in women (OR 0.16 [0.13 to 0.19]) (P, for sex interaction <0.001).

Table 3.

Multivariable predictors of CRT-D implantation

CRT-D All CRT-D Female CRT-D Male OR (95% CI)
OR (95% CI) OR (95% CI)
Male 1.80 (1.71–1.90) - -
Calendar Yeara 0.90 (0.88–0.93) 0.88 (0.86–0.91) 0.92 (0.89–0.94)
Age
 18–54 ref Ref ref
 55–64 0.92 (0.81–1.04) 0.99 (0.81–1.21) 0.87 (0.75–1.01)
 65–74 0.65 (0.57–0.74) 0.70 (0.57–0.86) 0.61 (0.53–0.71)
 75–84 0.39 (0.34–0.44) 0.38 (0.31–0.47) 0.38 (0.33–0.44)
 ≥85 0.12 (0.11–0.14) 0.12 (0.09–0.15) 0.12 (0.10–0.15)
Race
 White ref ref ref
 Black 1.61 (1.40–1.86) 1.79 (1.48–2.16) 1.48 (1.26–1.75)
 Otherb 1.10 (0.97–1.25) 1.20 (1.00–1.44) 1.05 (0.91–1.21)
Primary payer
 Private Ref Ref Ref
 Medicare 1.16 (1.07–1.26) 1.09 (0.94 -1.26) 1.20 (1.09 -1.31)
 Medicaid 1.25 (1.06–1.47) 1.17 (0.93–1.47) 1.30 (1.05–1.61)
 Otherc 0.95 (0.79–1.13) 0.91 (0.69–1.20) 0.97 (0.79–1.20)
Elective admission 1.30 (1.20–1.40) 1.24 (1.11–1.38) 1.32 (1.22–1.43)
Region
 Midwest ref ref ref
 Northeast 1.65 (1.33–2.07) 1.76 (1.39–2.28) 1.59 (1.25–2.03)
 South 1.06 (0.87–1.30) 1.09 (0.88–1.35) 1.04 (0.84–1.29)
 West 1.06 (0.88–1.27) 1.00 (0.82–1.23) 1.09 (0.89–1.33)
Hospital location/teaching
 Urban, teaching ref ref ref
 Urban, non-teaching 1.14 (0.98–1.32) 1.11 (0.94–1.32) 1.16 (0.99–1.35)
 Rural 0.60 (0.33–1.08) 0.52 (0.29–0.96) 0.65 (0.36–1.18)
Coronary artery disease 2.60 (2.43–2.77) 2.60 (2.37–2.85) 2.58 (2.37–2.81)
Ventricular arrhythmia 3.71 (3.36–4.10) 3.93 (3.38–4.56) 3.62 (3.22–4.06)
Elixhauser indexd 0.96 (0.94–0.99) 0.96 (0.93–0.99) 0.97 (0.94–1.00)
CRT response variablese
 0 0.27 (0.24–0.31) 0.16 (0.13–0.19) 0.40 (0.35–0.47)
 1–2 0.35 (0.32–0.37) 0.24 (0.21–0.27) 0.47 (0.43–0.52)
 ≥3 ref ref ref
a

2006–12.

b

Includes Hispanic, Asian or Pacific Islander, Native American, and other.

c

Includes self-pay, no charge, and other.

d

Measures 27 comorbidities of the Elixhauser index.

e

Comprised of four conditions associated with an increased likelihood of left ventricular reverse remodeling following CRT: non-ischaemic cardiomyopathy, left bundle block, absence of chronic kidney disease, and absence of atrial fibrillation.

Temporal trends in CRT-D implantation by sex

Finally, we assessed temporal trends in CRT implant type in men compared to women, with parallel assessment of sex trends in patients undergoing ICD-only (Figure 2). Baseline characteristics of patients undergoing CRT-D, CRT-P, and ICD-only are shown in (see Supplementary material online, Table S2). As expected, there was a greater prevalence of LBBB in CRT recipients compared to ICD-only, and a greater proportion of ICD-only recipients had a secondary prevention indication (N= 204 701 [48.3%]) compared to CRT-D recipients (N= 73 945 [27.6%]). Importantly, the prevalence of comorbidities associated with reduced ICD efficacy was similar across all groups (Reduced ICD Efficacy Score ≥ 3—ICD-only: 32.1%, CRT-D: 34.4%, CRT-P: 33.4%).

Figure 2.

Figure 2

Secular trend in the percentage of CRT devices implanted with an ICD in men vs. women between 2006 and 2012.(A) Panel A shows the percentage of CRT-D implant for the total CRT cohort over the study period, stratified by sex. The p-value shown is for the comparison of time trend in women vs. men. (B) Panel B shows % CRT-D implant in men and women, further stratified by likelihood left ventricular reverse remodelling following CRT as defined by the presence of the following predictors: non-ischaemic cardiomyopathy, left bundle branch block, absence of atrial fibrillation, absence of chronic kidney disease (CRT response score, rage: 0–4). Sex differences are shown within strata of CRT response score (≥ vs. < 3). Within each subgroup of CRT response score (≥ vs. < 3), the p-value shown is for the comparison of time trend in women vs. men. Of recipients undergoing ICD-only during the same time period, Panels C and D show the % women in the total ICD-only cohort (C) and stratified by CRT response score (D).

Over the study period, between 2006 and 2012, there was a greater decrease in the percentage of CRT-D implants for women (2006 vs. 2012: 86.3% vs. 73.2%) compared to men (90.0 vs. 85.2%) (P, for sex Δ in time trend = 0.012) (Figure 2A). When stratified by the likelihood of CRT response, the percentage of CRT-D implant decreased significantly over the study period for women with a CRT response score < 3 (2006 vs. 2012: 79.5% vs. 61.4%) but not for men (2006 vs. 2012: 87.8% vs. 83.3%) (P, for sex Δ in time trend <0.001) (Figure 2B). In contrast, the percentage of CRT-D implants in those with ≥ 3 CRT response predictors remained high for both women and men over the study period (P, for sex Δ in time trend = 0.48). Over the same time period, the proportion of women amongst ICD-only recipients was unchanged (Figure 2C), including when stratified by CRT response score (Figure 2D).

Discussion

In this study of greater than 300 000 CRT implants in the US between 2006 and 2012, men were significantly more likely to undergo CRT-D implant compared to women. Sex differences in CRT-D implantation were sensitive to comorbidities known to impact device efficacy. We find that sex differences increased significantly over the study period, despite greater predicted CRT and ICD efficacy in women compared to men. Taken together, these data highlight an expanding sex disparity in CRT implant type in the USA, and further identify potential opportunities to narrow this gap in order to better align device selection with those most likely to benefit.

There is an expanding recognition that CRT and ICD efficacy may not be uniform in men compared to women. First, left ventricular reverse remodelling is postulated to be an important mechanism of survival benefit in CRT.3 In our study, women were significantly more likely to have clinical characteristics associated with a greater likelihood of reverse remodelling, which is consistent with previous findings that women have improved survival following CRT implant compared to men.17 Second, ICD benefit may be attenuated in the presence of competing modes of death and comorbidities associated with these competing risks may differ in men and women.13,14 In our study, women undergoing CRT were more likely to have a comorbidity profile associated with CRT and ICD benefit, which is in keeping with the sex distribution of clinical characteristics described in other contemporary CRT cohorts, including the European CRT Survey.18 Consistent with these findings, others have identified similar and potentially superior survival following ICD implant in women compared to men.19

Our group5 has previously identified the presence of a sex differences in CRT implant patterns in the US and others have highlighted similar findings in Europe.20 Our findings extend these previous observations in several ways. First, we assessed sex differences in several clinically relevant subgroups. In keeping with contemporary guidelines,4 we observed consistently high and similar percentage of CRT-D device use among men and women with a secondary prevention indication for ICD (i.e. ventricular arrhythmia or cardiac arrest). Likewise, there was similarly minimal sex differences in patients with non-ischaemic cardiomyopathy. In contrast, we identified significant sex differences in CRT-D implant use in the presence of other relevant subgroups including AF, chronic kidney disease, and the elderly. We would further highlight that sex remained a significant predictor of CRT device type even after adjusting for ICD indication and clinical risk factors, including non-ischaemic cardiomyopathy. Second, we explore the clinical implications of the identified sex differences by leveraging previous reports linking comorbidities with device efficacy.6,8 While >90% of both men and women predicted to have high likelihood CRT response underwent CRT-D implantation, the difference in CRT-D use in men vs. women increased significantly in those less likely to respond to CRT. Similarly, there were minimal sex differences in CRT-D implantation amongst those with the greatest predicted ICD efficacy, but a widening disparity in those with lower predicted ICD efficacy. By coupling comorbidity-specific sex differences in CRT-D implant with the established relationship between comorbidities and device efficacy, our findings highlight the clinical implications of these sex disparities.

We also show that the sex disparity in CRT implant type increased over the study period, and specifically in those predicted to have a lower likelihood of CRT response. Our temporal trend findings extend findings from a recent report which demonstrated static sex differences in ICD implantation between 2005 and 2009 in the US.9 In contrast to previous ICD-only studies,9 we leverage the simultaneous presence of patients with and without ICD implantation (i.e. CRT-D vs. CRT-P) available in the National Inpatient Sample database. As an internal control, we show that there was no evidence that our findings of a widening disparity were related to a secular decrease in ICD-only implantation amongst women. The similar distribution of comorbidities in ICD-only and CRT-D recipients suggests that our findings may be applicable to ICD-only recipients, generally, although additional investigation in ICD-eligible HF patients appears warranted.

Maximizing the benefit of CRT and ICD therapy in the ever-expanding population of patients with heart failure will require improved alignment of device implantation with those most likely to benefit. The complexity of decision-making regarding ICD implantation at the time of CRT is further increased given that CRT associated improvements in LV function may attenuate both sudden arrhythmic death as well as non-sudden cardiac death.2 Indeed, despite the established efficacy of ICD therapy in appropriately selected patients, there remains no direct comparison establishing the incremental efficacy of CRT-D compared to CRT-P alone.21 While CRT-related improvements in left ventricular function may attenuate risk of ventricular arrhythmias, we would note that anticipated ventricular response to CRT is not represented in guidelines regarding ICD implantation,4 and that patients with reverse remodelling remain at risk for ventricular arrhythmias.22 In addition, CRT-related reverse remodelling may also modify the risk of other ‘competing modes of death’ (e.g. heart failure death)2 which, in turn, could influence the potential lifetime survival benefit of ICD therapy.23 Taken together, our findings highlight the ongoing need to refine our understanding of the dynamic influence of CRT on modes of death after implant and furthermore, how such anticipated responses may influence sex-specific decision making at the time of CRT implant.

Contemporary implant practices regarding CRT device selection differ by region, with a greater proportion of CRT-D implant in the US as compared to Europe.5,24 As suggested by the recent report from the CeRtiTuDe registry which identified an excess of non-arrhythmic death in those undergoing CRT-P,25 ICD device selection should consider the competing risk of non-arrhythmic deaths. Indeed, contemporary implant practices suggest significant opportunities for improvement. For example, Kramer and colleagues recently showed that approximately half of US Medicare beneficiaries undergoing ICD implantation enrol in hospice or die within 5 years of implant.26 Likewise, the recent Danish Study to Assess the Efficacy of ICDs in Patients with Non-ischaemic Systolic Heart Failure (DANISH) failed to find ICD benefit in the elderly (age > 59 years).27 Finally, the inclusion of an ICD in those undergoing CRT has significant clinical implications including the risk of device complications (∼15% at 3 years), increased healthcare utilization (battery depletion/need for generator change), and the deleterious clinical impact of inappropriate ICD therapy.28

Viewed in this context, our findings highlight potentially divergent opportunities to ‘narrow the gap’ for more effective deployment of CRT-D. For example, in those with a low likelihood of ICD efficacy, the sex gap may be appropriately addressed by decreasing CRT-D implants in men unlikely to benefit (e.g. ≥ age 80 with ischaemic heart disease and chronic kidney disease). Conversely, the sex disparity in CRT-D implantation for those with an intermediate probability of CRT response (e.g. 1-2 CRT response predictors) may be best addressed by targeted augmentation of CRT-D implant in women. Our data also highlight the need to better understand the influence of comorbidities and predicted device efficacy on patient-physician decision making at the time of device selection. Emerging literature supports the possibility of sex-specific differences in physician attitudes and patient preferences regarding trading quality of life and survival time.29 Whether specific comorbidities influence such quality of life preferences differentially may warrant additional exploration.

Limitations

The findings of this study should be interpreted within the limitations of its study design. First, these data represent serial cross-sectional assessments and availability of longitudinal clinical and echocardiographic outcomes would offer a more robust understanding of the potential clinical consequences of the identified differences. Second, while there remains no consensus definition for CRT response, left ventricular reverse remodelling is a robust and specific metric of biventricular pacing therapy.1 The selected measures of CRT response in our study have been consistently identified in systematic reviews and post-hoc analyses of randomized controlled trials in CRT.1,7 However, some proposed predictors of echocardiographic response after CRT implantation were not available (e.g. QRS duration, left ventricular lead location) and would have enhanced our ability to stratify the likelihood of reverse remodelling. To the extent that specific measures highlighted in recent consensus guidelines may identify greater device benefit in women as compared to men (e.g. QRS duration < 150 ms),30 our findings would only be underestimating the sex disparities present within strata of predicted CRT efficacy. Third, our analyses relied on using ICD-9-CM diagnosis codes with known high specificity and lower sensitivity.31 This likely explains the lower than expected prevalence of certain morbidities (e.g. 33% prevalence of LBBB). Other lifestyle factors considered in our study (e.g. tobacco smoking) have shown significant correlation with direct survey methods.32 In addition, certain baseline characteristics (e.g. race) were unknown in a significant minority of patients, although we anticipate that missingness was random with respect to sex. Both non-differential misclassification and underestimation of comorbidity prevalence would have biased our findings towards the null. We acknowledge that there may be heterogeneity in CRT indication in men as compared to women (e.g. bundle branch block morphology, cardiomyopathy etiology). For this reason, we assessed sex differences within strata of potential phenotypic heterogeneity. Finally, guidelines regarding CRT implantation were updated after the latest date considered in our study4 and our findings do not reflect any potential impact of these changes on sex disparity in CRT implant type.

Conclusions

In this contemporary cohort reflecting more than 300 000 CRT implants between 2006 and 2012, women were significantly less likely to undergo CRT-D implant compared to men despite greater predicted device efficacy. Amongst those with a lower predicted benefit from ICD, there was an excess of CRT-D implant in men. An improved understanding of the determinants of CRT device selection in men compared to women would help maximize the benefit of these devices for our ever-expanding population of patients with heart failure.

Supplementary material

Supplementary material is available at European Heart Journal online.

Supplementary Material

Supplementary Data

Acknowledgements

The authors would like to thank the Institute for Quantitative Social Science at Harvard University for providing access to cluster computing.

Funding

National Heart Lung and Blood Institute (T-32 HL-007575 to N.A.C.), Junior Faculty Career Development Award from the National Palliative Care Research Center (C.L.), Harvard Catalyst | The Harvard Clinical and Translational Science Center (National Institutes of Health Award UL1 TR001102), and financial contributions from Harvard University and its affiliated academic medical centres.

Conflict of interest: J.P.S. receives consulting fees from St. Jude Medical, Sorin, Boston Scientific, Medtronic, CardioInsight, Respicardia, Backbeat, and Medscape and receives research funding from Sorin, St. Jude Medical, Medtronic, and Boston Scientific. N.A.C., R.B., Y.C., J.L., V.A.J., J.P.M., C.L. report no conflicts.

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