Literature DB >> 34988519

Heart failure treatment in patients with cardiac implantable electronic devices: Opportunity for improvement.

Samaneh Salimian1, Marc W Deyell1, Jason G Andrade1, Santabhanu Chakrabarti1, Matthew T Bennett1, Andrew D Krahn1, Nathaniel M Hawkins1.   

Abstract

BACKGROUND: Heart failure and reduced ejection fraction (HFrEF) is the predominant indication for cardiac resynchronization therapy (CRT) and implantable cardioverter-defibrillator (ICD) implantation. The care gap and opportunity to optimize guideline-directed medical therapy (GDMT) is unclear.
OBJECTIVE: We sought to define uptake, eligibility, dose, and adherence to GDMT in patients with CRT/ICD and HFrEF.
METHODS: MEDLINE was searched from 2000 to July 2021 for major randomized trials, registries, and cohort studies evaluating GDMT in this population. Thirty-eight studies focused on medical therapy in patients with CRT/ICD devices (CRT = 23, ICD = 11, and both = 4).
RESULTS: In the pivotal device trials, ACEI/ARB and beta-blocker use was high (mean 94%, range 41%-99%; and 83%, range 27%-97%, respectively), but mineralocorticoid receptor antagonists were modest (mean 45%, range 32%-61%), in keeping with guidelines of that era. Similar results were found in observational registries. CRT was associated with beta-blocker uptitration, while the effects on ACEI/ARB were less consistent. For beta blockers, 57%-68% of patients were uptitrated, increasing the mean percent of target dose achieved by 24% from baseline to follow-up. In one study, adherence increased, for ACEI/ARB from 37% to 55% and beta blockers 34% to 58%. Only 1 study assessed potential eligibility at implant for sacubitril-valsartan (72%) or ivabradine (28%), and no study examined sodium-glucose cotransporter-2 inhibitors. Increased uptake, titration, and dose was associated with reduced mortality, hospitalization, and device therapies.
CONCLUSION: Patients with HFrEF and ICD/CRT are undertreated with respect to GDMT, and there is opportunity to optimize therapy to improve morbidity and mortality.
© 2021 Heart Rhythm Society. Published by Elsevier Inc.

Entities:  

Keywords:  CRT; Heart failure with reduced ejection fraction; Medical therapy; Optimization

Year:  2021        PMID: 34988519      PMCID: PMC8710628          DOI: 10.1016/j.hroo.2021.09.010

Source DB:  PubMed          Journal:  Heart Rhythm O2        ISSN: 2666-5018


In the pivotal device trials, angiotensin-converting enzyme inhibitor / angiotensin receptor blocker (ACEI/ARB) and beta-blocker use was high but mineralocorticoid receptor agonist (MRA) use was modest, in keeping with guidelines of that era. Most contemporary registries report similar uptake for these 3 classes. Greater uptake and titration and higher doses of medical therapy were reported in patients with heart failure after cardiac resynchronization therapy implantation, more so for beta blockers compared to ACEI/ARBs or MRAs. This in turn was consistently associated with reduced hospitalization and mortality. Eligibility for newer therapies in the device population was rarely studied, but appears significant from the single study identified.

Introduction

The treatment of heart failure (HF) with reduced ejection fraction (HFrEF) has transformed in the past decade. Quadruple therapy including newer drug classes modulates 5 different pathways and leads to an average of 6 life-years gained, compared to conventional therapy with angiotensin-converting enzyme inhibitors (ACEI) or angiotensin receptor blockers (ARBs) and beta blockers alone. Newer therapies include mineralocorticoid receptor antagonists (MRAs), angiotensin receptor–neprilysin inhibitors (ARNIs), sodium-glucose cotransporter-2 (SGLT2) inhibitors, and ivabradine. Strategies are needed to screen, identify, and treat patients with HFrEF to improve symptoms, morbidity, and mortality. Patients with cardiac implantable electronic devices, particularly implantable cardioverter-defibrillators (ICDs) and cardiac resynchronization therapy (CRT), present a clearly defined population with HFrEF in the healthcare system. Optimization of medical therapy may be possible for several reasons: suboptimal therapy prior to implant,, advances in guideline-recommended therapy since initial implant, improved medication tolerability after implant,8, 9, 10 and decline in left ventricular ejection fraction (LVEF) and symptoms during follow-up. Electrophysiologists involved in longitudinal device care are key providers in the circle of care. If the care gap is significant, quality improvement initiatives could improve outcomes. This systematic review has 2 key objectives. The first is to describe medical therapy in patients with ICD and CRT in major randomized controlled trials, registries, and cohort studies. Our second objective is to define the opportunity to optimize conventional pharmacological therapies and eligibility for newer evidence-based therapies.

Methods

The population of interest was patients with ICD and CRT. The outcome of interest was medical therapy for HFrEF (ACEI, ARB, beta blocker, MRA, ARNI, SGLT2 inhibitors). MEDLINE was searched from 2000 to July 2021, limited to adult humans without language restriction. Search terms were selected by consensus and iterative database queries. Medical subject headings (MeSH) were identified from keyword mapping and published literature. Study selection is displayed in Figure 1, and the search strategy is provided in Supplemental Data. The evidence is presented as a narrative synthesis owing to heterogeneity in outcomes and reporting. Besides reviewing the identified studies focusing on optimization of medical therapy in patients with CRT and/or ICD devices (n = 38), we also provide a brief review of major randomized clinical trials (n = 19) and registries (n = 19) that have reported the baseline medical therapies in patients with electronic devices. Results are presented as weighted averages (min-max) unless otherwise indicated. The terms “usage” and “uptake” are used to refer to the individual and population-level medication utilization, respectively.
Figure 1

Literature flow diagram. MeSH = medical subject headings.

Literature flow diagram. MeSH = medical subject headings.

Results

Baseline medical therapy in randomized controlled trials

Nineteen randomized controlled trials were included, 7 involving ICD alone, 2 CRT with pacemaker alone, and the remaining 10 CRT with defibrillator (Figure 2).11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29 Inclusion criteria ranged from NYHA class I to class IV and LVEF ≤40% to ≤30%. In the CRT trials, the reported rates of ACEI/ARB and beta-blocker baseline use were 94% (41%–99.8%) and 83% (27%–97%), respectively. The respective proportions in ICD trials were 87% (68%–96%) and 84% (50%–92%). MRA use was infrequently reported, being 45% (32%–61%) in CRT studies and 59% in a single ICD trial.
Figure 2

Baseline medical therapy in randomized controlled trials of cardiac resynchronization therapy/implantable cardioverter-defibrillators. ACEI = angiotensin-converting enzyme inhibitor; ARB = angiotensin receptor blocker.

Baseline medical therapy in randomized controlled trials of cardiac resynchronization therapy/implantable cardioverter-defibrillators. ACEI = angiotensin-converting enzyme inhibitor; ARB = angiotensin receptor blocker.

Baseline medical therapy in registries and cohort studies

Baseline medical therapy in major registries and cohort studies of CRT and ICD (n = 19) is presented in Figure 3.30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48 CRT studies reported ACEI/ARB and beta-blocker baseline use in 78% (52%–100%) and 80% (70%–87%). Uptake was similar in ICD studies, 78% (59%–99%) and 85% (53%–97%), respectively. As with the randomized trials, MRA was infrequently reported, 49% (43%–56%) overall in CRT and 38% (21%–56%) in ICD studies.
Figure 3

Baseline medical therapy in major registries and cohort studies of cardiac resynchronization therapy/implantable cardioverter-defibrillators. ACEI = angiotensin-converting enzyme inhibitor; ARB = angiotensin receptor blocker.

Baseline medical therapy in major registries and cohort studies of cardiac resynchronization therapy/implantable cardioverter-defibrillators. ACEI = angiotensin-converting enzyme inhibitor; ARB = angiotensin receptor blocker.

Medical therapy usage and associated outcomes

Thirty-eight studies focused on specific aspects of medication optimization and associated outcomes following CRT (n = 27) and ICD (n = 15) implantation,8, 9, 10,49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63 21 of which were single-center and retrospective (Tables 1 and 2). These 38 studies are the main focus of this review. Sample size ranged from 50 to 7932 patients, with a mean/median follow-up duration from 6 to 70 months. Baseline usage of ACEI/ARB, beta blocker, and MRA in patients with CRT was 85% (54%–98%), 86% (67%–93%), and 46% (21%–78%) and in patients with ICD was 75% (24%–87%), 78% (24%–89%), and 36% (23%–38%), respectively. At follow-up, utilization increased to 92% (86%–100%), 92% (80%–97%), and 61% (49%–83%), respectively, in CRT patients. Nine studies reported both baseline and follow-up medications (Table 2). Usage significantly increased for beta blockers in 5 of 8 CRT studies,,,,, for ACEI/ARB in 1 of 7, and for MRA in 1 of 4 CRT studies. Overall triple therapy usage was reported in a single retrospective French study (n = 243), which increased from 26% to 32% at 3 months after CRT implant (P < .001). Sacubitril/valsartan use was reported in 23%–44% of patients with CRT and 19% with ICD in 2 recent studies.,
Table 1

Studies examining baseline or follow-up medical therapy following cardiac resynchronization therapy / implantable cardioverter-defibrillator implantation

Study, yearNLocationCenterDesignFollow-up (mo)LVEF (%)ACEI/ARB, n (%)Beta blocker, n (%)MRA, n (%)Sacubitril/valsartan, n (%)
CRT
Martens, 202010162BelgiumSingle-retro3726 ± 7144 (89)149 (92)120 (74)-
Chun, 202058175KoreaSingle-retro30-48 (96)42 (84)39 (78)22 (44)
Shah, 2020637932USMulti-retro6-----
Hu, 201960376ChinaSingle-retro57 (6)53 ± 454 (90)54 (90)50 (83)-
DeVore, 201865319USCHAMP-HF2429172 (54)--73 (23)
Massoullie, 201856243FranceMulti-retro23199 (82)170 (70)86 (35)-
Fontaine, 201873294USSingle-retro5223 ± 10209 (71)263 (89)62 (21)-
Martens, 20179650BelgiumSingle-retro3730 ± 10556 (86)578 (89)404 (62)-
D'Onofrio, 201780254ItalyMulti-prosp627159 (63)217 (85)63 (25)-
Jin, 2017100201ChinaSingle-retro629 ± 852 (88)55 (93)--
Schmidt, 201462185SwitzerlandSingle-retro45 (24)26 ± 8----
Shen, 201371136USSingle-prosp1721123 (90)122 (90)49 (36)-
Mantziari,91UKSingle-retro624 ± 685 (93)61 (67)58 (64)-
20125224 ± 686 (98)70 (80)--
Kreuz, 201261239GermanySingle-retro4326 ± 10171 (95)171 (95)97 (54)-
Friedman, 201276269USSingle-prosp1824 ± 7223 (83)245 (91)99 (37)-
Voigt, 201055177USSingle-retro2022 ± 9142 (80)129 (73)42 (24)-
Heywood, 2010572610USMulti-prospn/r24 ± 72057 (79)2288 (88)1035 (40)-
Desai, 201068209USSingle-prosp3428 ± 7146 (70)158 (76)--
Adlbrecht, 200981205AustriaSingle-retro1727----
Bai, 200859542USSingle-retro2720443 (82)372 (69)--
ICD
Massoullie, 201856135FranceMulti-retro23-106 (79)97 (72)46 (34)-
DeVore, 2018651727USCHAMP-HF24291005 (58)--321(19)
Ruwald, 2018722935DenmarkMulti-retro26272251 (77)2260 (77)--
AlJaroudi, 2015741509USMulti-prosp30201213 (80)1286 (85)405 (27)-
Chichareon, 201579115ThailandSingle-retro222489 (74)108 (89)28 (23)-
Desai, 201068320USSingle-prosp3430 ± 7199 (62)216 (68)--
Obeyesekere, 201075126AustraliaSingle-prosp1923 ± 7108 (86)104 (83)--
Verma, 201077421CanadaSingle-retro2527 ± 9330 (78)374 (89)--
Heywood, 2010574394USMulti-prospn/r24 ± 73586 (82)3889 (89)1665 (38)-
Pietrasik, 200966671USMADIT-II20-516(77)422(63)--
Lai, 200867965USSingle-retro32-494 (51)575 (60)--
Tandri, 2006701382USSingle-prosp7033 ± 11332 (24)332 (24)--
Pinski, 2000691628USMulti-prosp1733 ± 14982 (60)510 (31)--

Follow-up times in parentheses show the time at which the distribution of medication is analyzed.

ACEI = angiotensin-converting enzyme inhibitor; ARB = angiotensin receptor blocker; BB = beta blocker; LVEF = left ventricular ejection fraction; MRA = mineralocorticoid receptor antagonist; Prosp = prospective; Retro = retrospective; UK = United Kingdom; US = United States.

Medication usage rates are reported at follow-up time.

Table 2

Studies examining baseline and follow-up medical therapy following cardiac resynchronization therapy / implantable cardioverter-defibrillator implantation

Study, yearNLocationCenter designFollow-up (mo)LVEF (%)ACEI/ARB, n (%)Beta blocker, n (%)MRA, n (%)LVEF (%)ACEI/ARB, n (%)Beta blocker, n (%)MRA, n (%)
CRTBaselineFollow-Up
Jorsal, 202049182DenmarkSingle-retro625 ± 6171 (94)167 (92)83 (46)36±10128 (94)131 (96)67 (49)
Rinkuniene, 20175085LithuaniaSingle-retro1220 ± 669 (81)69 (81)47 (55)31±975 (88)82 (97)60 (71)
Nebata, 20166463JapanSingle-retro628 ± 855 (87)43 (68)35 (56)-63 (100)61 (97)46 (73)
Witt, 20158826DenmarkSingle-retro53 (6)24747 (90)620 (75)475 (58)-753 (91)724 (88)490 (59)
Penn, 2015511820USMADIT-CRT1229 ± 31784 (98)1693 (93)n/r-1517 (94)1533 (95)n/r
Mantziari, 20125291UKSingle-retro624 ± 685 (93)61 (67)58 (64)24±686 (98)70 (80)-
Hitz, 201253140SwitzerlandSingle-retro43 (36)-136 (97)113 (81)--100%95%-
Aranda, 20055450USSingle-retro1118 ± 6-36 (69)-25±12-44 (85)-
ICD
D’Onofrio, 2016101987ItalyMulti-prosp1231 ± 9664 (67)792 (80)--518 (53)712 (72)-

No sacubitril/valsartan medication usage is reported in these studies.

Follow-up time in parentheses shows the time at which the distribution of medication is analyzed.

Abbreviations are the same as in Table 1.

P < .05 for comparison from baseline to follow-up.

Studies examining baseline or follow-up medical therapy following cardiac resynchronization therapy / implantable cardioverter-defibrillator implantation Follow-up times in parentheses show the time at which the distribution of medication is analyzed. ACEI = angiotensin-converting enzyme inhibitor; ARB = angiotensin receptor blocker; BB = beta blocker; LVEF = left ventricular ejection fraction; MRA = mineralocorticoid receptor antagonist; Prosp = prospective; Retro = retrospective; UK = United Kingdom; US = United States. Medication usage rates are reported at follow-up time. Studies examining baseline and follow-up medical therapy following cardiac resynchronization therapy / implantable cardioverter-defibrillator implantation No sacubitril/valsartan medication usage is reported in these studies. Follow-up time in parentheses shows the time at which the distribution of medication is analyzed. Abbreviations are the same as in Table 1. P < .05 for comparison from baseline to follow-up. Twenty-three studies reported the association between usage rates and outcomes at 3 months to 6 years post CRT/ICD implant (Table 3). Higher usage was associated with reduced risk of death and HF hospitalization for ACEI/ARB and beta blocker,, death for both medications,,67, 68, 69, 70 and death for sacubitril-valsartan. Conversely, lower usage of ACEI/ARB and/or beta blockers was associated with increased risk of death, hospitalization, or cardiac transplant.,,,71, 72, 73 Finally, in the aforementioned French study, triple therapy was associated with significantly improved survival compared to single therapy (HR 0.59 [0.36–0.97]).
Table 3

Usage of medical therapy and associated outcomes following cardiac resynchronization therapy / implantable cardioverter-defibrillator implantation

Study, yearFollow-up (mo)Usage measurementOutcomeAssociated outcomes
Chun, 20205830Sacubitril/valsartan in CRT nonresponders: 22/50 (44%)Mortality5% vs 36%, P = .02.
Hu, 20196057ACEI/ARB + BB vs single/noneMortalityHFH4% vs 8%, P = .532% vs 23%, P = .04
DeVore, 20186524Sacubitril/valsartan use associated number advanced practice providersaOR 1.08 (1.03–1.14)
Massoullie, 20185623Dual therapy 38% base vs 41% 3 moTriple therapy 26% base vs 32% 3 moMortalityHR 0.59 (0.36–0.97), P = .04
Ruwald, 20187226BB vs no-BB therapyHFHDeathVAHR 0.43 (0.34–0.54), P < .001HR 0.24 (0.18–0.33), P < .001HR 0.53 (0.39–0.72), P < .001
Fontaine, 20187352Lack of ACEI/ARBDeathHR 2.51 (1.0–6.3), P = .05 in African Americans
Jin, 20171006ACEI/ARB, 88% vs 69% use super-responders vs not super-responseSuper responseOR 0.33 (CI: 0.13–0.82), P < .01
Zeitler, 20177831Absence of BB therapyShocksOR 1.61 (1.23–2.12), P < .01
Aljaroudi, 20157430ACEI/ARB therapyShocksRR 0.61 (0.43–0.86), P = .005
Chichareon, 20157922Lack of BB and MRA therapyICD therapyBB OR 0.23 (0.07–0.82) P = .02MRA OR 0.33 (0.11–0.99) P = .04
Penn, 20155112ACEI/ARB, 96% super-responders vs 88% nonrespondersDeath or HFHHR 0.58 (0.42–0.80), P = .001
Shen, 20137117BB vs no-BB therapyMortality12% vs 36%
Kreuz, 20126143Lack of BB therapyMortalityHR 2.3 (1.6-3.8), P = .003
Friedman, 20127618Absence of BB therapyICD therapyHR 6.34 (2.28–17.65), P < .001
Voigt, 2010552015% unexplained BB absenceDeath or transplantHR 3.1 (1.1–9.3), P = .04Mean transplant-free survival: 21 vs 17 mo, P = .003
Desai, 20106834ACEI/ARB useDeathRR 0.l (0.04–0.20), P < .0001
Obeyesekere, 20107519Lack of ACEI/ARBICD therapyOR 0.06 (0.01–0.37), P < .01No difference transplant rates
Verma, 20107725Absence of BB therapy in ischemic and dilated cardiomyopathyICD therapyHR 4.0 (1.5–10.5), P = .006HR 1.9 (1.1–4.8) P = .04
Pietrasik, 20096620BB and ACEI useHF eventsBB HR 0.51, P = .017ACEI HR 0.64, P = .071Combination 0.36, P < .001
Bai, 20085927BB useDeathaOR 0.33 (0.16–0.67), P = .002
Lai, 20086732BB and ACEI/ARB useDeath13% and 17% vs 24% non-use
Tandri, 20067070BB and ACEI useDeathBB 0.43 (0.27–0.78), P < .001ACEI 0.78 (0.60–0.95), P = .05
Pinski, 20006917ACEI use during hospitalizationDeathACEI 0.71 (0.50–0.99), P = .04

ACEI = angiotensin-converting enzyme inhibitor; aOR = adjusted odds ratio; ARB = angiotensin receptor blocker; BB = beta blocker; CRT = cardiac resynchronization therapy; HFH = heart failure hospitalization; HR = hazard ratio; RR = relative risk; ICD = implantable cardioverter-defibrillator; MRA = mineralocorticoid receptor antagonist; VA = ventricular arrhythmia.

Usage of medical therapy and associated outcomes following cardiac resynchronization therapy / implantable cardioverter-defibrillator implantation ACEI = angiotensin-converting enzyme inhibitor; aOR = adjusted odds ratio; ARB = angiotensin receptor blocker; BB = beta blocker; CRT = cardiac resynchronization therapy; HFH = heart failure hospitalization; HR = hazard ratio; RR = relative risk; ICD = implantable cardioverter-defibrillator; MRA = mineralocorticoid receptor antagonist; VA = ventricular arrhythmia. In ICD studies, absence of ACEI/ARB,, beta blocker,76, 77, 78 and both beta-blocker and MRA therapies were significant predictors of appropriate ICD therapies.

Medical therapy titration

Twelve studies (12 following CRT, 2 of which included ICD patients) examined optimization in terms of dose defined using various metrics, including proportion of patients with uptitration, mean dose expressed as percent of target dose, proportion achieving target dose, and the outcomes associated with dose change (Table 3). Results were similar to those for usage rates. Beta blockers consistently and significantly increased in dose after device implant, while results for ACEI/ARB and MRA were mixed. For beta-blockade, the proportion of patients uptitrated ranged from 57% to 68%.,, This translated into an increase in mean target dose by 24% from baseline to follow-up, with 20%–58% achieving maximum target dose., One study examined a specific beta-blocker titration program assisted by remote monitoring, which increased the proportion of patients with target dose from 23% to 76% at 6 months post-CRT. ACEI/ARB also increased in mean target dose by 13%, with 32%–37% achieving maximum target dose., The mean target dose for MRA, evaluated in only 1 study, decreased from 59% to 50%. In that study, more patients received spironolactone after CRT, but the greater usage included relatively low doses, which reduced the mean. Dose titration was consistently associated with improved symptoms and survival (Table 4). For symptoms, mean NYHA score improved by 24% in patients with beta-blocker uptitration after CRT compared to those without titration (16%). For outcomes, higher ACEI/ARB and beta-blocker dose following implant was independently associated with reduced mortality,,, and the composite of death or hospitalization. In absolute terms, high- vs low-dose ACEI/ARB was associated with mean survival of 22.9 vs 19.2 months. Beta-blocker titration was also associated with lower risk of appropriate ICD therapy.
Table 4

Dose and adherence to medical therapy and associated outcomes following cardiac resynchronization therapy / implantable cardioverter-defibrillator implantation

Study, yearMain endpointsMain resultAssociated outcomes or secondary result
CRT
Martens, 202010Dose uptitrationMean % target doseBaseline vs 6 moBB uptitration 33% vs 79%Every 1% uptitration associated lower risk-appropriate ICD therapy OR 0.982 (0.965–0.999), P = .042
Martens, 20179Dose uptitrationMean % target doseBaseline vs 6 moACEI/ARB 30% vs 70%, P < .001BB 30% vs 75%, P < .001Reduced death/HF hospitalizationACEI/ARB aHR 0.54 (0.32–0.91), P = .02BB aHR 0.63 (0.41–0.99), P = .04
Mantziari, 201252Dose uptitrationMean % of targetBaseline vs 6 moACEI 64% vs 71%, P = .01ARB 50% vs 50%, P = .57.ACEI/ARB 55% vs 62%, P = .03Worse survival, ACEI/ARB dose <50% vs 50%–99% vs 100% target: 19.2 mo vs 22.1 mo vs 22.9 mo, P < .01 and P = .007
D'Onofrio, 201780Dose uptitrationMedian % of targetProportion at targetBaseline vs 6 moBB 25% vs 100%BB 20% vs 58% P < .001.Proportion at target dose, remote vs in-clinic titration: 76% vs 38% at 6 mo
Adlbrecht, 200981Dose uptitrationProportion at targetHF clinic care vs Cardio-internistACEI/ARB and BB73% vs 27, P < .001Significant predictor survival without cardiac hospitalizationHR 2.08 (1.17–3.71), P = .013
Aranda, 200554Dose uptitrationBB increase vs no increaseFunctional class improvement:24% vs 16%-
Rinkuniene, 201750DoseMean % of targetBaseline vs 1 yBB 23% vs 30%MRA 59% vs 50%-
Nebata, 201664DoseMean daily doseProportion at targetBaseline vs 6 moBB 5.6 ± 7.0 vs 13.2 ± 7.8 mg, P < .001BB 13% vs 40%Uptitration BB dose independent predictor cardiac events HR 0.92 (0.87–0.98), P < .01
Witt, 20158DoseMean % of targetBaseline vs 6 moAdherenceACEI/ARB 74% vs 78%, P = .02BB 43% vs 53%, P < .001Adherence:BB 95%, ACEI/ARB 94%High vs low dose associated lower mortalityACEI/ARB aHR 0.55 vs 0.68BB aHR 0.50 vs 0.65
Schmidt, 201462DoseMean % of target24 moSuper-responders vs notACEI/ARB 68% vs 52%, P < .01; BB 59% vs 42%, P < .01Higher doses independently associated lower mortality HR 0.98, P = .001
Hitz, 201253DoseMean % of targetBaseline vs 3 yBB 55% vs 68%, P < .02ACEI/ARB 78% vs 79%Responder BB 58% vs 72%, P = .01Nonresponder BB 57% vs 56%, P = nsResponder ACEI/ARB 83% vs 78%, P = nsNonresponder 80% vs 87%, P = ns
Heywood, 201057DoseProportion at or above target doseCRT-D, CRT-P, no-CRT:BB 20%, 17%, 15%ACEI/ARB 32%, 31%, 35%MRA 73%, 72%, 77%Use of CRT-P/CRT-D associated delivery of BB at or above target dose: OR 1.54 (1.03–2.3), P = .03/OR 1.35 (1.07 to 1.71), P = .01
Shah, 201963AdherencePre, post 12 moProportion days coveredACEI 58% vs 71%, P < .001BB 57% vs 75%, P < .001Proportion days covered ≥80%ACEI 37% vs 55%, (47% change), P < .001. BB 34% vs 58% (71% change), P < .001
ICD
Heywood, 201057Proportion treated at or above target dose ICD vs no ICDBB 20% vs 15%ACEI/ARB 33% vs 35%MRA 70% vs 77%ICD use not associated delivery at or above target doses (BB, ACEI, and MRA, P = .07, P = .3, and P = .5)
D’Onofrio, 2016101Dose uptitrationProportion at targetBaseline vs 6 moStandard BB titration7% vs 13%, P < .05Remote titration 6% vs 10%BB effective dose and adoption of remote monitoring improved HF clinical composite score, OR 0.58 (0.39–0.86), P = .006, OR 0.65 (0.50–0.86), P = .003

ns = nonsignificant; CRT-D = CRT with defibrillator; CRT-P = CRT with pacemaker; other abbreviations are the same as Table 3.

Dose and adherence to medical therapy and associated outcomes following cardiac resynchronization therapy / implantable cardioverter-defibrillator implantation ns = nonsignificant; CRT-D = CRT with defibrillator; CRT-P = CRT with pacemaker; other abbreviations are the same as Table 3.

Medical therapy adherence

Two studies reported medication adherence following CRT., A Danish cohort of 826 consecutive patients defined adherence as continuation at annual intervals. All patients were adherent at baseline to ACEI/ARB, beta blocker, and MRA, which declined to 94%, 95%, and 77%, respectively, at 4 years. Conversely, a large US cohort defined adherence by proportion of days covered ≥80% using pharmacy claims. Adherence to ACEI/ARB and beta blockers increased, respectively, from 37% to 55% and from 34% to 58% at 12 months post-CRT (n = 7932, all P < .001).

Eligibility for contemporary medical therapy

Only 1 study evaluated eligibility for newer medical therapies. In a single-center Danish cohort (n = 182), the majority of patients had an indication for sacubitril-valsartan, ivabradine, or both at baseline. The proportion eligible varied according to the criteria applied: 72% by 2016 ESC guidelines but irrespective of ACE-I/ARB dosage, 43% by strict 2016 ESC guidelines, 56% by PARADIGM-HF trial criteria. These proportions approximately halved when applied in patients 6 months following implant, respectively, 32%, 17%, and 24%. Moreover, 18% of the patients without an indication at baseline developed an indication for optimization during follow-up.

Discussion

Our review highlights several key findings. In the pivotal device trials, ACEI/ARB and beta-blocker use was high but MRA was modest, in keeping with guidelines of that era. However, most contemporary registries report similar uptake for these 3 classes. Greater uptake and titration and higher doses of medical therapy were reported in patients with HF after CRT implantation, more so for beta blockers compared to ACEI/ARBs or MRAs. This in turn was consistently associated with reduced hospitalization and mortality. Eligibility for newer therapies in the device population was rarely studied but appears significant from the single study identified.

Underutilization of medical therapy

We observed variability in baseline medical therapy among major cohorts and registries (Figures 1 and 2). Similar findings were reported in the US National Cardiovascular Data Registry; only 44%–76% of patients with HFrEF across health regions had filled HF medication prescriptions within the 90 days prior to primary prevention ICD implantation. Understanding these care gaps requires careful adjudication and granular patient-level data, since physiologic intolerance (blood pressure, heart rate, potassium, renal function) is the most common limiting factor. For example, in patients attending a hospital-based multidisciplinary HF clinic, target dose achievement was higher once adjusted for physiological limitation (ACEI/ARB from 24% to 63%, beta blocker from 30% to 68%, MRA from 39% to 59%, ARNI from 51% to 63%).

Measuring the quality of medical therapy

The concepts of uptake and dose are interrelated and tend to improve in parallel at the population and individual level. However, increased population uptake may reduce the population average dose if lower doses are prescribed in more patients. This highlights the importance of carefully defining metrics for quality improvement. Measurement of adherence is equally nuanced. Based on our results, when complete adherence was required at baseline, subsequent compliance inevitably appeared to decline. However, adherence dramatically improved when described by proportion of days covered. The percent change increased by approximately 20%–30% when considered as total days covered, and 45%–70% when defined by individuals with ≥80% of days covered.

Eligibility and timing of newer medical therapies

Only 1 study, from Denmark, specifically examined ARNI eligibility in patients with devices, with several key findings. First, a large proportion of patients were eligible for changing ACEI/ARB to ARNI. Second, this eligibility varied from 43% to 72% depending on the criteria applied. Third, eligibility approximately halved when applied to patients alive at 6 months with persistent symptoms (17% to 32%). Finally, 18% developed an indication for ARNI during follow-up, confirming the importance of reevaluating medical therapies post–device implant. The new medication classes, notably ARNI and SGLT2 inhibitors, have further reduced morbidity and mortality in patient with HFrEF., The recently updated American College of Cardiology and Canadian Cardiovascular Society guidelines both recommend quadruple therapy (ARNI, beta blocker, MRA, SGLT2 inhibitor) for almost all patients with HFrEF., However, the optimal time for medication switching (ARNI) or addition (SGLT2 inhibitors) after device implant is unclear. A patient may no longer fulfill guideline criteria for newer therapies owing to improvement in LVEF or symptoms post-CRT. Therefore, starting the optimization immediately after implantation might not be cost-effective in responders. Conversely, postponing optimization in patients who will later be considered CRT nonresponders denies them a survival benefit. Mortality was significantly reduced within 30 days in PARADIGM-HF—time is of the essence and no patient with HF is truly “stable.”

Association between medical therapy optimization and outcomes

In the identified cohort studies, higher doses of medical therapy post-CRT were associated with improved outcomes after multivariable adjustment.,,, While it is possible that dose increases led to improved outcomes, cause and effect cannot be inferred from nonrandomized observational studies. However, this aligns with published randomized controlled trial evidence of high- vs low-dose therapies, which consistently demonstrates a dose-response relationship in ventricular remodeling and outcomes.88, 89, 90 We also observed lower rates of ventricular arrhythmia and ICD therapies associated with higher doses of ACEI/ARB and particularly beta blockade. The benefits were elegantly highlighted in a Belgian cohort where every 1% beta-blocker dose uptitration was independently associated with 2% lower odds of a first appropriate therapy. Similarly, absence of beta blocker or ACEI/ARB was a significant predictor of appropriate therapy.74, 75, 76, 77, 78, 79 In the landmark clinical trials, the incidence of sudden cardiac death is reduced 20%–75% by ACEI/ARB, 19%–44% by beta blockers, 20%–30% by MRA, 20% by ARNI, and 16% by SGLT2 inhibitors. Moreover, in the PARADIGM-HF trial sacubitril-valsartan reduced risk of sudden cardiac death in patients irrespective of device status.

Possible mechanisms for improved medication optimization post-CRT

An overview of the association of cardiac implantable electronic devices with uptake, dose, and adherence of medical therapies and eligibility for newer therapies is presented in Figure 4. Medication tolerability may improve after CRT owing to multiple hemodynamic and neurohormonal factors: prevention of bradycardia, higher blood pressure, ventricular remodeling with increased cardiac output, reduced cardiorenal impairment, and improved symptoms., The same factors that improve uptake, titration, and dose may well increase adherence. Optimization capability may also be increased by specialized healthcare exposure, remote monitoring, and education after CRT implantation. In our review, ICD therapy in the IMPROVE-HF registry was not associated with delivery of medications at target doses, including beta blockers. Although the enablement of renin-angiotensin-aldosterone blockade might be limited, pacing support should facilitate beta-blocker titration.
Figure 4

Overview of the benefits and association of cardiac implantable electronic devices with uptake, dose, and adherence of medical therapy and eligibility for newer therapies. ACEI = angiotensin-converting enzyme inhibitor; ARB = angiotensin receptor blocker; ARNI = angiotensin receptor–neprilysin inhibitor; BB = beta blocker; CRT = cardiac resynchronization therapy; ICD = implantable cardioverter-defibrillator; MRA = mineralocorticoid receptor antagonist; SGLT2I = sodium-glucose cotransporter-2 inhibitor.

Overview of the benefits and association of cardiac implantable electronic devices with uptake, dose, and adherence of medical therapy and eligibility for newer therapies. ACEI = angiotensin-converting enzyme inhibitor; ARB = angiotensin receptor blocker; ARNI = angiotensin receptor–neprilysin inhibitor; BB = beta blocker; CRT = cardiac resynchronization therapy; ICD = implantable cardioverter-defibrillator; MRA = mineralocorticoid receptor antagonist; SGLT2I = sodium-glucose cotransporter-2 inhibitor.

Approach for medication optimization

Owing to the timeframe of the studies identified, optimization of newer agents and quadruple therapy could not be assessed. However, further consideration should be given to strategies for medication optimization after device implantation. The goal of maximum tolerated quadruple therapy in the minimum time period, based on the recent guidelines, requires multiple titrations. Single or, in less frail patients, multiple therapies may be changed together. In our opinion, a collaborative team approach is needed, where every healthcare contact is an opportunity to improve, whether nurse practitioner, pharmacist, primary care physician, general cardiologist, HF specialist, or electrophysiologist. These should be complemented by remote titration,, as well as novel strategies such as electronic patient-activation tools, directly involving patients in the optimization process. The provider mix, level of service integration, and enabling technologies depend in part on health system infrastructure and reimbursement models. The arrival of novel survival-prolonging therapies and updated guidelines means no provider can be a bystander in delivering patient-centered care. This is particularly relevant to the SGLT2 inhibitors, which require no titration, have an adverse event profile similar to placebo, and require very little monitoring.,

Limitations

Several limitations merit consideration. The heterogeneous measures of medication dose, eligibility, and associated outcomes all prevented meta-analysis. Most of the included studies were small, single center, and retrospective. This highlights the need for systematic, granular electronic data collection to address focused quality objectives proven to improve patient outcomes. Very few studies examined eligibility for newer therapies, which should be a future goal for research.

Conclusion

Optimization of medical therapy following device implantation is feasible and associated with improved outcomes. Further studies are needed to define and understand the care gaps, particularly for newer therapies including ARNI and SGLT2 inhibitors. Device follow-up and remote monitoring extends the circle of care and provides an opportunity for optimization. The most important action is just that—to take an action.
  100 in total

1.  Prognostic significance of beta-blocker up-titration in conjunction with cardiac resynchronization therapy in heart failure management.

Authors:  Takeru Nabeta; Takayuki Inomata; Yuichiro Iida; Yuki Ikeda; Miwa Iwamoto-Ishida; Shunsuke Ishii; Takashi Naruke; Tomohiro Mizutani; Hisahito Shinagawa; Toshimi Koitabashi; Ichiro Takeuchi; Junya Ako
Journal:  Heart Vessels       Date:  2015-08-08       Impact factor: 2.037

2.  Long-term complications related to biventricular defibrillator implantation: rate of surgical revisions and impact on survival: insights from the Italian Clinical Service Database.

Authors:  Maurizio Landolina; Maurizio Gasparini; Maurizio Lunati; Saverio Iacopino; Giuseppe Boriani; Carlo Bonanno; Antonello Vado; Alessandro Proclemer; Alessandro Capucci; Chantal Zucchiatti; Sergio Valsecchi; Renato P Ricci; Massimo Santini
Journal:  Circulation       Date:  2011-05-16       Impact factor: 29.690

3.  Evaluation, Management, and Outcomes of Patients Poorly Responsive to Cardiac Resynchronization Device Therapy.

Authors:  Niraj Varma; John Boehmer; Kartikeya Bhargava; Dale Yoo; Fabio Leonelli; Mariarosa Costanzo; Anil Saxena; Lixian Sun; Michael R Gold; Jagmeet Singh; John Gill; Angelo Auricchio
Journal:  J Am Coll Cardiol       Date:  2019-11-26       Impact factor: 24.094

4.  Determinants of outcome in patients with sustained ventricular tachyarrhythmias: the antiarrhythmics versus implantable defibrillators (AVID) study registry.

Authors:  S L Pinski; Q Yao; A E Epstein; S Lancaster; H L Greene; A Pacifico; J R Cook; R Jadonath; R A Marinchak
Journal:  Am Heart J       Date:  2000-05       Impact factor: 4.749

5.  Predicting appropriate shocks in patients with heart failure: Patient level meta-analysis from SCD-HeFT and MADIT II.

Authors:  Emily P Zeitler; Sana M Al-Khatib; Daniel J Friedman; Joo Yoon Han; Jeanne E Poole; Gust H Bardy; J Thomas Bigger; Alfred E Buxton; Arthur J Moss; Kerry L Lee; Paul Dorian; Riccardo Cappato; Alan H Kadish; Peter J Kudenchuk; Daniel B Mark; Lurdes Y T Inoue; Gillian D Sanders
Journal:  J Cardiovasc Electrophysiol       Date:  2017-08-23

6.  Durability of the survival effect of cardiac resynchronization therapy by level of left ventricular functional improvement: fate of "nonresponders".

Authors:  John Rickard; Alan Cheng; David Spragg; Sandeep Bansal; Mark Niebauer; Bryan Baranowski; Daniel J Cantillon; Patrick J Tchou; Richard A Grimm; W H Wilson Tang; Bruce L Wilkoff; Niraj Varma
Journal:  Heart Rhythm       Date:  2013-11-28       Impact factor: 6.343

7.  Efficacy of primary preventive ICD therapy in an unselected population of patients with reduced left ventricular ejection fraction.

Authors:  J Sjöblom; T Kalm; F Gadler; L Ljung; V Frykman; M Rosenqvist; P Platonov; R Borgquist
Journal:  Europace       Date:  2014-09-10       Impact factor: 5.214

8.  Care Gaps in Adherence to Heart Failure Guidelines: Clinical Inertia or Physiological Limitations?

Authors:  Marilyne Jarjour; Christine Henri; Simon de Denus; Annik Fortier; Nadia Bouabdallaoui; Anil Nigam; Eileen O'Meara; Charaf Ahnadi; Michel White; Patrick Garceau; Normand Racine; Marie-Claude Parent; Mark Liszkowski; Geneviève Giraldeau; Jean-Lucien Rouleau; Anique Ducharme
Journal:  JACC Heart Fail       Date:  2020-08-12       Impact factor: 12.035

9.  Predictors of appropriate implantable cardioverter defibrillator (ICD) therapy in primary prevention patients with ischemic and nonischemic cardiomyopathy.

Authors:  Atul Verma; Bradley Sarak; Alexander J Kaplan; Richard Oosthuizen; Marianne Beardsall; Zaev Wulffhart; Janet Higenbottam; Yaariv Khaykin
Journal:  Pacing Clin Electrophysiol       Date:  2009-10-01       Impact factor: 1.976

10.  An Electronically Delivered Patient-Activation Tool for Intensification of Medications for Chronic Heart Failure With Reduced Ejection Fraction: The EPIC-HF Trial.

Authors:  Larry A Allen; Grace Venechuk; Colleen K McIlvennan; Robert L Page; Christopher E Knoepke; Laura J Helmkamp; Prateeti Khazanie; Pamela N Peterson; Kenneth Pierce; Geoffrey Harger; Jocelyn S Thompson; Tristan J Dow; Lance Richards; Janice Huang; James R Strader; Katy E Trinkley; David P Kao; David J Magid; Peter M Buttrick; Daniel D Matlock
Journal:  Circulation       Date:  2020-11-17       Impact factor: 29.690

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