Left ventricular reverse remodeling (LVRR) is a key therapeutic goal in dilated cardiomyopathy (DCM). However, its genetic predictors and prognostic impact remain uncertain.
MethodsWe analyzed genotyped DCM patients with serial echocardiograms from the Spanish DCM study. The main objective was to assess the influence of genotype on LVRR, defined by improvement in ejection fraction within 12± 6 months. Secondary endpoints included major adverse cardiovascular events, end-stage heart failure (HF), and major ventricular arrhythmias.
ResultsA total of 711 patients were included (67% male, mean age 50.8 years, baseline ejection fraction 31%, 44% genotype positive). LVRR occurred in 39% of genotype-positive vs 47% of genotype-negative patients (P=.036). Independent predictors of LVRR were TTN variants, lower baseline ejection fraction, and HF admission at diagnosis. In contrast, desmosomal, nuclear envelope and motor sarcomeric gene variants were associated with a lower likelihood of LVRR. During a median follow-up of 4.5 years, 26% of patients with initial LVRR showed subsequent deterioration, which was more frequent among genotype-positive individuals (32% vs 22%, P=.054). Compared with patients with sustained LVRR, those with deterioration had worse outcomes, including higher rates of major cardiovascular events (25% vs 7%), end-stage HF (18% vs 1%), and ventricular arrhythmia (12% vs 4%) (all P <.05).
ConclusionsGenotype is a major determinant of both initial and long-term LVRR. Loss of ejection fraction improvement is common and strongly associated with adverse outcomes.
Keywords
Nonischemic dilated cardiomyopathy (DCM) is characterized by left ventricular enlargement and systolic dysfunction that cannot be attributed to abnormal loading conditions or coronary artery disease.1 It has an estimated prevalence of 1:250 to 1:2500 in the general population and is the most frequent cause of heart failure in the young, the leading cause of heart transplantation worldwide, and a common substrate for ventricular arrhythmias and sudden cardiac death (SCD).1–3
Recovery of left ventricular function is a primary objective of pharmacological therapies in heart failure with reduced ejection fraction, as the absence of left ventricular reverse remodeling (LVRR) is an early predictor of mortality.4 However, not all patients respond to medical treatment, and even among those who initially achieve LVRR, some experience LVEF worsening in the long-term.5
Assessing treatment response is therefore essential, as clinical decisions regarding treatment strategies, such as eligibility for implantable cardioverter-defibrillator (ICD) therapy, are still largely based on the presence of significant LV dysfunction.
A genetic substrate can be identified in 25% to 40% of cases of nonischemic DCM,6 and growing evidence suggests that the underlying genotype has a substantial impact on treatment response and clinical course.7–11 However, the long-term impact of genotype at long-term after initial recovery remains unclear, and little is known about the clinical course and prognosis in patients who experience early recovery of left ventricular function.
Accordingly, we sought to evaluate the influence of genotype during early follow-up, identify factors associated with LVRR, and assess long-term systolic function after initial recovery in a large cohort of genotyped DCM patients.
METHODSStudy populationThis was a multicenter, retrospective, observational, and longitudinal study of consecutive genetically evaluated patients with DCM recruited from inherited cardiac disease and heart failure units at 19 Spanish hospitals between 2015 and 2022. Patients underwent serial echocardiography at baseline and at 12±6 months (intermediate echocardiogram). An additional echocardiogram at the last follow-up visit was collected if available.
DCM was defined as left ventricular ejection fraction (LVEF) <50% on echocardiography in the absence of abnormal loading conditions, coronary artery disease, excessive alcohol intake, or other identifiable causes.1 Patients diagnosed in infancy (< 1 year of age) were excluded, given that the etiology, natural history, and outcomes of infant-onset cardiomyopathies can differ substantially from those in older children, adolescents, and adults.12
Participating individuals had been genetically tested using targeted next-generation sequencing (NGS) panels at participating institutions or at an accredited genetics laboratory. Although the NGS panels could differ in the number of genes, all included> 50 genes related to cardiomyopathies. Additionally, consecutive relatives with DCM (n=93) who harbored a pathogenic or likely pathogenic variant previously identified in a DCM proband through an NGS panel including> 50 cardiomyopathy-associated disease-causing genes were included to enrich the number of DCM patients with a positive genotype. Demographics, symptoms, 12-lead electrocardiogram, and transthoracic echocardiogram data were collected from clinical records at each participating center using standardized methodology.
The study was approved by the Hospital Universitario Puerta de Hierro ethics committee, which waived the requirement for informed consent. The study conformed to the principles of the Declaration of Helsinki. Data integrity was ensured by the investigators at each participating center.
Genotype-based classification and gene clustersGenetic variants were centrally classified as pathogenic (P), likely pathogenic (LP) or variant of unknown significance after a systematic review by a cardiologist expert in cardiovascular genetics using modified criteria of the American College of Medical Genetics and Genomics.13 A variant was considered disease-causing if it affected a DCM-related gene and was classified as P/LP. Patients harboring P/LP variants were considered”‘genotype-positive” (G+), and those harboring variant of unknown significance variants or with a negative NGS panel were considered “genotype-negative” (G-).
Genes were clustered into functional gene groups based on similar common functions, involvement in biological processes, localization to subcellular compartments, and other shared properties based on consolidated scientific evidence from the literature and available biological databases as previously described.14 Because of its specific characteristics of frequency in DCM, TTN was considered as a separate group. Functional gene groups included the following: a) structural cytoskeleton/Z-disk; b) desmosomal; c) nuclear envelope; d) motor sarcomeric; e)TTN; and f) other genes. Individuals with> 1 pathogenic or likely pathogenic variant (n=8) were excluded from the functional gene group analysis to maintain a conservative approach.
LVRR definitionLVRR was defined as either left ventricular normalization (LVEF improvement to ≥ 50% with an absolute increase of ≥ 5% LVEF from baseline evaluation on echocardiogram) or an absolute increase in LVEF of ≥ 10%, as previously described.8,15–17 Persistent LVRR at long-term among those patients who had a favorable initial response was defined as improvement or stability (± 5%) in LVEF in the last follow-up echocardiogram compared with the mid-term evaluation.
OutcomesOur primary objective was to analyze the impact of genotype on LVRR and evaluate the factors associated with LVRR.
Additionally, we evaluated the clinical impact of persistency of LVRR at long-term. Clinical outcomes were evaluated according to the presence or absence of LVRR at 12±6 months. Among patients with a positive LVRR at 12±6 months, outcomes were further assessed according to the persistence or loss of LVRR at the last follow-up. The clinical objectives considered were a composite of major adverse cardiovascular events (MACE), a composite of major ventricular arrhythmias (MVA), and a composite of end-stage heart failure (ESHF). The MACE composite objective included cardiovascular death, ESHF, and MVA. ESHF included ventricular assist device implantation for refractory heart failure, heart transplant, and ESHF-related mortality. MVA included SCD or aborted SCD, sustained ventricular tachycardia, and appropriate ICD interventions. Only appropriate ICD shocks to terminate ventricular tachycardia or ventricular fibrillation episodes were considered for the purpose of this study (anti-tachycardia pacing therapy was not considered).
All patients had planned reviews at participating centers every 6 to 12 months or more frequently if clinically indicated. A detailed flow chart of the study is presented in figure 1.
Statistical analysesContinuous variables are expressed as mean±standard deviation (SD) or as median [interquartile range (IQR)], as appropriate. Groups were compared using the Student t test, the Mann-Whitney U test, the ANOVA test, or the Kruskal-Wallis test when comparing more than 2 groups. Non-continuous categorical variables were expressed as counts (percentages) and compared using the chi-square test or Fisher's exact test, as appropriate.
Logistic regression analysis was applied to determine the association of genotype and clinical variables with LVRR. The multivariate analysis was performed using the forward stepwise logistic regression method and a significance level of 0.05. Only patients with complete data for all covariates included in the final model were analyzed (complete-case analysis; n=636). Clinical, echocardiographic, and genetic parameters that were statistically significant in the univariate analysis were included (P <.05). The presence of negative T waves was not included due to collinearity. Treatment with SGLT2 inhibitors was not included since quadruple therapy was not well established in the inclusion period of our study, and information was not available on all patients.
The cumulative probability of an event on follow-up was estimated using the Kaplan–Meier method, and the log-rank test was used to compare survival between groups. Univariate Cox regression models were used to assess the association of LVRR status at the last follow-up with the clinical objectives (MACE, ESHF, and MVA). Analyses were conducted using Stata Statistics version 15 (StataCorp). A 2-tailed P value of <.05 was considered statistically significant.
RESULTSA total of 711 DCM patients from the 1257 individuals with DCM included in the Spanish genetic DCM study had an echocardiogram performed 12±6 months after initial evaluation and met the inclusion criteria (figure 1). Of them, 618 (86.9%) were unrelated index cases and 93 (13.1%) were relatives.
Demographic, clinical, and imaging baseline characteristics are presented in table 1. Male sex prevailed (67.3%), the median age at diagnosis was 50.8 [40.6-61.6] years, and most patients were in New York Heart Association functional class I or II (63.7%). Median baseline LVEF was 31% [23%-40%].
Baseline characteristics of the patients according to left ventricular reverse remodeling at mid-term
| Variables | Total (n=711) | With LVRR (n=307) | Without LVRR (n=404) | P |
|---|---|---|---|---|
| Demographics | ||||
| Male sex(n=711) | 479 (67.37) | 206 (67.10) | 273 (67.57) | .894 |
| Age at diagnosis, y (n=711) | 50.84 [40.62-61.60] | 51.67 [42.64-63.40] | 50.26 [39.62-60.31] | .049 |
| Proband (n=711) | 618 (86.92) | 281 (91.53) | 337 (83.42) | .001 |
| FH of DCM (n=711) | 362 (50.91) | 140 (45.60) | 222 (54.95) | .014 |
| FH of SCD first-degree relative(n=711) | 88 (12.38) | 32 (10.42) | 56 (13.86) | .168 |
| FH of SCD non-first-degree relatives (n=711) | 137 (19.27) | 44 (14.33) | 93 (23.02) | .004 |
| Skeletal myopathy (n=711) | 28 (3.94) | 10 (3.26) | 18 (4.46) | .416 |
| Hypertension (n=711) | 221 (31.08) | 94 (30.62) | 127 (31.44) | .816 |
| Diabetes mellitus (n=711) | 108 (15.19) | 48 (15.64) | 60 (14.85) | .773 |
| Dyslipidemia (n=711) | 186 (26.16) | 79 (25.73) | 107 (26.49) | .821 |
| Smoking (n=706) | 291 (41.22) | 138 (45.10) | 153 (38.25) | .067 |
| NYHA (n=706) | ||||
| I | 220 (31.16) | 76 (24.84) | 144 (36.00) | |
| II | 230 (32.58) | 89 (29.08) | 141 (35.25) | <.001 |
| III | 216 (30.59) | 119 (38.89) | 97 (24.25) | |
| IV | 40 (5.67) | 22 (7.19) | 18 (4.50) | |
| Arrhythmia (SVT, SCD) at diagnosis (n=706) | 29 (4.08) | 11 (3.58) | 18 (4.46) | .560 |
| HF hospitalization at diagnosis(n=706) | 213 (30.17) | 126 (41.04) | 87 (21.80) | <.001 |
| Baseline ECG | ||||
| Atrial fibrillation (n=711) | 114 (16.03) | 44 (14.33) | 70 (17.33) | .281 |
| AV block (third degree)(n=708) | 16 (2.26) | 6 (1.95) | 10 (2.49) | .632 |
| QRS duration, mm(n=708) | 106 [94-134.5] | 106 [95-139] | 106 [94-134] | .666 |
| LBBB (n=708) | 194 (27.40) | 87 (28.34) | 107 (26.68) | .625 |
| Abnormal T-wave inversion(n=489) | 165 (33.74) | 85 (39.72) | 80 (29.09) | .014 |
| Low QRS voltage limb leads(n=707) | 111 (15.70) | 46 (14.98) | 65 (16.25) | .646 |
| Low QRS voltage precordial leads(n=707) | 38 (5.37) | 12 (3.91) | 26 (6.50) | .130 |
| Baseline echocardiogram | ||||
| LVEF, %(n=711) | 31 [23-40] | 27 [20-35] | 35 [26.85-43] | <.001 |
| LVEDD, mm(n=692) | 60 [55-66] | 61 [56-67] | 59 [55-66] | .008 |
| MR moderate/severe(n=693) | 243 (35.06) | 123 (40.86) | 120 (30.61) | .005 |
| LA, mm(n=527) | 43.01±8.20 | 43.61±7.13 | 42.59±8.88 | .144 |
| PASP ≥ 50mmHg (n=542) | 104 (19.19) | 51 (21.16) | 53 (17.61) | .296 |
| RVSD (any degree)(n=672) | 168 (25.00) | 87 (29.59) | 81 (21.43) | .015 |
| Treatment at baseline | ||||
| Beta-blocker (n=700) | 583 (83.29) | 265 (86.32) | 318 (80.92) | .057 |
| ACE inhibitor/ARBs or ARNI (n=711) | 629 (88.47) | 278 (90.55) | 351 (86.88) | .129 |
| ACE inhibitor/ARB (n=700) | 579 (82.71) | 246 (80.13) | 333 (84.73) | .110 |
| Sacubitril/valsartan (n=700) | 50 (7.14) | 32 (10.42) | 18 (4.58) | .003 |
| MRA (n=700) | 314 (44.86) | 161 (52.44) | 153 (38.93) | <.001 |
| iSGLT2 (n=661) | 81 (12.25) | 46 (16.14) | 35 (9.31) | .008 |
| Treatment at mid-term | ||||
| Beta-blocker (n=681) | 617 (90.60) | 282 (93.69) | 335 (88.16) | .014 |
| ACE inhibitor/ARBs or ARNI (n=711) | 645 (90.72) | 289 (94.14) | 356 (88.12) | .006 |
| ACE inhibitor/ARB (n=680) | 524 (77.06) | 215 (71.67) | 309 (81.32) | .003 |
| Sacubitril/valsartan (n=678) | 122 (17.99) | 74 (24.67) | 48 (12.70) | <.001 |
| MRA (n=677) | 413 (61.00) | 199 (66.33) | 214 (56.76) | .011 |
| iSGLT2 (n=566) | 91 (15.17) | 53 (20.08) | 38 (11.31) | .003 |
| ICD (n=711) | 192 (27.00) | 82 (26.71) | 110 (27.23) | .878 |
| CRT (n=711) | 67 (9.42) | 29 (9.45) | 38 (9.41) | .985 |
| Genotype (n=711) | ||||
| Negative | 399 (56.12) | 186 (60.59) | 213 (52.72) | .036 |
| Positive | 312 (43.88) | 121 (39.41) | 191 (47.28) | |
| Genotype | ||||
| Negative | 399 (56.76) | 186 (60.98) | 213 (53.52) | <.001 |
| Cytoskeleton/Z-disk | 30 (4.27) | 10 (3.28) | 20 (5.03) | |
| Desmosomal | 32 (4.55) | 5 (1.64) | 27 (6.78) | |
| Nuclear envelope | 40 (5.69) | 7 (2.30) | 33 (8.29) | |
| Motor sarcomeric | 46 (6.54) | 14 (4.59) | 32 (8.04) | |
| TTN | 107 (15.22) | 63 (20.66) | 44 (11.06) | |
| Other genes | 49 (6.97) | 20 (6.56) | 29 (7.29) | |
ACE inhibitor, angiotensin-converting enzyme inhibitor; ARB, angiotensin receptor blocker; ARNI, angiotensin receptor-neprilysin inhibitor; CRT, cardiac resynchronization therapy; DCM, idiopathic dilated cardiomyopathy; HF, heart failure; FH, family history; iSGLT2, sodium-glucose cotransporter 2 inhibitor; LBBB, left bundle branch block; LVEDD, left ventricular end-diastolic diameter; LVEF, left ventricular ejection fraction; MRA, mineralocorticoid receptor antagonist; MR, mitral regurgitation; NYHA, New York Heart Association; P/LP, pathogenic/likely pathogenic; PASP, pulmonary artery systolic pressure; RVSD, right ventricular systolic dysfunction; SCD, sudden cardiac death; SVT, sustained ventricular tachycardia.
The values are expressed as No. (%), mean±standard deviation, or median [interquartile range], as appropriate.
A total of 312 individuals (43.9%) exhibited 1 or more P/LP variants, while 138 (19.4%) had a variant of unknown significance and 261 (36.7%) had a negative genetic test. Among the 304 participants with 1 P/LP variant, the most frequently involved gene was TTN (107, 35.2%), followed by LMNA (36, 11.8%), DSP (27, 8.9%), BAG3 (23, 7.6%), RBM20 (22, 7.2%) and FLNC (16, 5.3%), as detailed in .
Regarding medical treatment, at the time of the mid-term echocardiogram, 617 (90.6%) patients were treated with beta-blockers, 645 (90.9%) with angiotensin-converting enzyme inhibitors, angiotensin receptor blockers or an angiotensin receptor/neprilysin inhibitor, 413 (61.0%) with mineralocorticoid receptor antagonists, and 81 (3.4%) with sodium-glucose cotransporter type 2 inhibitors (SGLT2i). Medication doses in the overall cohort and according to genotype groups are summarized in . Lastly, 301 (42.3%) patients had an ICD and 127 (17.9%) a CRT device at the last follow-up.
Left ventricular reverse remodeling at mid-termA total of 307 individuals (43.2%) exhibited LVRR at mid-term evaluation (mean time 11.4±3.4 months), 46.6% (n=186) of patients from the genotype-negative group and 38.8% (n=121) in the genotype-positive group (P=.036). The distribution of genes according to functional gene group and LVRR is compiled in . Patients with a negative genotype and carriers of a variant in TTN showed the highest rate of LVRR (59% and 47%, respectively). In contrast, patients from other genotype groups showed a very low probability of LVRR, particularly in carriers of variants in desmosomal and nuclear envelope genes, where only 16% and 18% of patients achieved LVRR, respectively (figure 2).
Central illustration. Cumulative event rates for the composite of major adverse cardiovascular events, end-stage heart failure, and major ventricular arrhythmia at the last follow-up according to response to medical treatment. “No recovery” includes patients without LVRR at mid-term; “transient recovery” includes patients with LVRR at mid-term and worsening of LVEF at last-follow-up; “persistent recovery” includes patients with LVRR at mid-term and persistent LVRR at last-follow-up. HF, heart failure; LVEF, left ventricular ejection fraction; LVRR, left ventricular reverse remodeling.
Patients with LVRR were older at diagnosis than patients without LVRR (51.7 years [IQR 42.6-63.4 years] vs 50.3 years [IQR 39.6-60.3 years]; P=.049), were more likely to be probands (91.5% vs 83.4%; P=.001), and had worse New York Heart Association functional class (table 1). In line with the finding of a lower proportion of patients with LVRR among participants with a positive genotype, a family history of DCM or SCD was more frequent in patients without LVRR. Regarding echocardiographic findings, LVEF was lower, LVEDD higher, right ventricular systolic dysfunction, and moderate or severe mitral regurgitation were more prevalent in patients who had LVRR (Table 1).
Clinical and genetic predictors of left ventricular reverse remodelingSeveral parameters were associated with LVRR at mid-term in the univariate analysis: TTN gene, higher age at diagnosis, proband, higher LVEDD, moderate or severe mitral regurgitation, right ventricular systolic dysfunction, worse New York Heart Association functional class, previous hospitalization due to heart failure, and treatment with mineralocorticoid receptor antagonists and SGLT2i. On the other hand, several genotypes (desmosomal, nuclear envelope, and motor sarcomeric genes) and a positive family history of DCM and SCD were negatively associated with LVRR at mid-term in univariate logistic regression. In the multivariate analysis, previous admission due to heart failure, a lower LVEF, along with either negative or TTN genotypes were associated with LVRR. Of note, a genetic variant in TTN was the strongest positive predictor for LVRR after adjustment for treatment and other clinical variables (odds ratio [OR], 2.02; 95% confidence interval [95%CI], 1.23-3.30). In contrast, genetic variants in desmosomal (OR, 0.17; 95%CI, 0.05-0.59), nuclear envelope (OR, 0.38; 95%CI, 0.14-0.98), and motor sarcomeric genes (OR, 0.43; 95%CI, 0.21-0.88) remained strongly negatively associated with LVRR in multivariate analysis (table 2). Neurohormonal treatment lost significance after adjusting for the rest of the clinical and genetic variables.
Left ventricular reverse remodeling-associated variables at univariate and multivariate logistic regression analysis (P <.05)
| Variables | Univariate analysis | Multivariate analysis | |||
|---|---|---|---|---|---|
| OR (95%CI) | P | OR (95%CI) | P | ||
| Genotype | Negative | Ref. | <.001 | Ref. | |
| Cytoskeleton/Z-disk genes | 0.57 (0.26-1.25) | .163 | 0.60 (0.25-1.45) | .259 | |
| Desmosomal genes | 0.21 (0.08-0.56) | .002 | 0.17 (0.05-0.59) | .005 | |
| Nuclear envelope genes | 0.24 (0.10-0.56) | .001 | 0.38 (0.14-0.98) | .045 | |
| Motor sarcomeric genes | 0.50 (0.26-0.97) | .04 | 0.43 (0.21-0.88) | .021 | |
| TTN gene | 1.64 (1.06-2.53) | .025 | 2.02 (1.23-3.30) | .005 | |
| Other genes | 0.79 (0.43-1.44) | .443 | 0.89 (0.46-1.74) | .735 | |
| Proband | 2.15 (1.33-3.47) | .001 | ns | ||
| Age at diagnosis | 1.01 (1.00-1.02) | .028 | ns | ||
| NYHA functional class at first evaluation | I | Ref. | <.001 | ||
| II | 1.20 (0.81-1.76) | .361 | ns | ||
| III | 2.32 (1.58-3.42) | <.001 | |||
| IV | 2.32 (1.17-4.58) | .016 | |||
| HF hospitalization at diagnosis | 2.50 (1.80-3.47) | <.001 | 1.53 (1.04-2.26) | .032 | |
| Abnormal T-wave inversion | 1.61 (1.10-2.34) | .014 | ni | ||
| Baseline LVEF | 1.07 (1.05-1.09)* | <.001 | 1.07 (1.05-1.09)* | <.001 | |
| Baseline LVEDD | 1.02 (1.00-1.04) | .034 | ns | ||
| MR moderate/severe | 1.57 (1.14-2.15) | .005 | ns | ||
| RVSD (any degree) | 1.54 (1.09-2.19) | .016 | ns | ||
| MRA | 1.73 (1.28-2.34) | <.001 | ns | ||
| iSGLT2 | 1.85 (1.16-2.96) | .010 | ni | ||
ACEi, angiotensin-converting enzyme inhibitor; ARB, angiotensin receptor blocker; ARNI, angiotensin receptor-neprilysin inhibitor; CRT, cardiac resynchronization therapy; DCM, idiopathic dilated cardiomyopathy; FH, family history; HF, heart failure; iSGLT2, sodium-glucose cotransporter 2 inhibitor; LBBB, left bundle branch block; LVEDD, left ventricular end-diastolic diameter; LVEF, left ventricular ejection fraction; MRA, mineralocorticoid receptor antagonist; MR, mitral regurgitation; ni, not included; ns, not significant; NYHA, New York Heart Association; PASP, pulmonary artery systolic pressure; RVSD, right ventricular systolic dysfunction; SCD, sudden cardiac death; SVT, sustained ventricular tachycardia..
After a median follow-up since mid-term evaluation of 4.43 years [IQR 2.1-7.5 years], MACE occurred in 156 patients (21.9%), 97 (13.6%) had ESHF events, and 79 (11.1%) had MVA.
Outcomes according to LVRR at mid-term are presented in figure 3 and . MACE occurred in 121 (30.0%) patients among those without LVRR and in 35 (11.4%) patients among those with LVRR. The hazard ratio (HR) for MACE in patients without LVRR was 2.88 (95%CI, 1.92-4.33; P <.001) compared with LVRR peers. ESHF occurred in 80 (19.8%) patients in the group without LVRR and in 17 (5.5%) in the group with LVRR (HR, 3.80; 95%CI, 2.25-6.42; P <.001). MVA occurred in 60 (14.9%) in the group without LVRR and in 19 (6.2%) in the group with LVRR (HR, 2.60; 95%CI, 1.50-4.50; P <.001).
Outcomes in patients with LVRR vs without LVRR. Cumulative event rates for composite (A) major adverse cardiovascular events, (B) end-stage heart failure, and (C) major ventricular arrhythmia at last follow-up. 95%CI, 95% confidence interval; LVRR, left ventricular reverse remodeling.
Among the 284 patients who exhibited LVRR at mid-term and who underwent long-term evaluation, 73 patients (25.7%) experienced LVEF worsening; 21.6% (n=37) of genotype-negative and 31.9% (n=36) in genotype-positive (P=.054). Maintenance of LVRR or deterioration of LV function at long-term according to genotype functional groups is presented in .
Demographic, clinical, and imaging characteristics are shown in table 3. Patients with LVEF worsening were more often males (78.1% vs 64.5%; P=.03) and had a higher LVEF at mid-term (48.0% vs 45.6%; P=.049). Other clinical characteristics and echocardiographic parameters were similar between those who maintained LVRR and those who did not. Notably, LVEF decline occurred despite patients remaining on neurohormonal therapy.
Characteristics of the patients according to left ventricular reverse remodeling at long-term after initial recovery
| Variables | Total (n=284) | Persistent recovery (n=211) | Worsening LVEF (n=73) | P |
|---|---|---|---|---|
| Demographics | ||||
| Male sex | 193 (67.96) | 136 (64.45) | 57 (78.08) | .032 |
| Age at diagnosis, y | 51.61 [41.96-63.32] | 52.28 [43.25-64.13] | 50.84 [39.56-60.17] | .234 |
| Proband | 258 (90.85) | 194 (91.94) | 64 (87.67) | .275 |
| FH of DCM | 132 (46.48) | 99 (46.92) | 33 (45.21) | .800 |
| FH of SCD first-degree relative | 29 (10.21) | 18 (8.53) | 11 (15.07) | .112 |
| FH of SCD non-first-degree relatives | 41 (14.44) | 26 (12.32) | 15 (20.55) | .085 |
| FH of skeletal myopathy | 2 (0.70) | 1 (0.47) | 1 (1.37) | .430 |
| Skeletal myopathy | 8 (2.82) | 5 (2.37) | 3 (4.11) | .439 |
| Hypertension | 82 (28.87) | 66 (31.28) | 16 (21.92) | .128 |
| Diabetes mellitus | 45 (15.85) | 30 (14.22) | 15 (20.55) | .202 |
| Dyslipidemia | 76 (26.76) | 56 (26.54) | 20 (27.40) | .887 |
| Smoking | 126 (44.52) | 88 (41.90) | 38 (52.05) | .133 |
| NYHA | ||||
| I | 68 (24.03) | 44 (20.85) | 24 (33.33) | |
| II | 82 (28.98) | 59 (27.96) | 23 (31.94) | .066 |
| III | 112 (39.58) | 92 (43.60) | 20 (27.78) | |
| IV | 21 (7.42) | 16 (7.58) | 5 (6.94) | |
| Baseline ECG | ||||
| Atrial fibrillation | 40 (14.08) | 28 (13.27) | 12 (16.44) | .502 |
| AV block (third degree) | 4 (1.41) | 3 (1.42) | 1 (1.37) | .974 |
| QRS duration, mm | 107 [95-139] | 107 [95-140] | 108 [97-124] | .801 |
| LBBB | 83 (29.23) | 65 (30.81) | 18 (24.66) | .319 |
| Abnormal T-wave inversion | 77 (39.49) | 59 (40.97) | 18 (35.29) | .476 |
| Low QRS voltage limb leads | 42 (14.79) | 27 (12.80) | 15 (20.55) | .108 |
| Low QRS voltage precordial leads | 11 (3.87) | 9 (4.27) | 2 (2.74) | .560 |
| Baseline echocardiogram | ||||
| LVEF, % | 27 [20-34.9] | 26 [18.8-34] | 28 [22-36] | .052 |
| LVEDD, mm | 61.81±7.69 | 62.15±7.84 | 60.82±7.22 | .208 |
| MR moderate/severe | 113 (40.50) | 87 (41.83) | 26 (36.62) | .440 |
| LA, mm | 43.75±7.08 | 43.56±7.13 | 44.30±6.97 | .514 |
| PASP ≥ 50 mmHG | 47 (20.80) | 33 (19.41) | 14 (25.00) | .372 |
| RVSD (any degree) | 82 (29.93) | 66 (32.35) | 16 (22.86) | .134 |
| Mid-term echocardiogram | ||||
| LVEF, % | 46.17±9.00 | 45.55±9.28 | 47.95±7.93 | .049 |
| LVEDD, mm | 56 [52-61] | 56 [51-61] | 57 [54-60] | .184 |
| MR moderate/severe | 31 (11.57) | 23 (11.56) | 8 (11.59) | .993 |
| LA, mm | 39.93±6.18 | 39.36±5.82 | 41.55±6.89 | .039 |
| PASP ≥ 50 mmHG | 5 (2.19) | 4 (2.40) | 1 (1.64) | .730 |
| RVSD (any degree) | 16 (6.02) | 11 (5.56) | 5 (7.35) | .591 |
| Medical treatment at last FU | ||||
| Beta-blocker | 262 (92.25) | 196 (92.89) | 66 (90.41) | .494 |
| ACE inhibitor/ARBs or ARNI | 266 (93.66) | 197 (93.36) | 69 (94.52) | .727 |
| MRA | 196 (69.26) | 144 (68.57) | 52 (71.23) | .671 |
| iSGLT2 | 96 (39.02) | 63 (35.59) | 33 (47.83) | .077 |
| ICD | 113 (39.79) | 76 (36.02) | 37 (50.68) | .027 |
| CRT | 46 (16.20) | 37 (17.54) | 9 (12.33) | .298 |
| Genotype | ||||
| Negative | 171 (60.21) | 134 (63.51) | 37 (50.68) | .054 |
| Positive | 113 (39.79) | 77 (36.49) | 36 (49.32) | |
| Genotype | ||||
| Negative | 171 (60.64) | 134 (64.11) | 37 (50.68) | .089 |
| Cytoskeleton/Z-disk | 10 (3.55) | 7 (3.35) | 3 (4.11) | |
| Desmosomal | 3 (1.06) | 2 (0.96) | 1 (1.37) | |
| Nuclear Envelope | 5 (1.77) | 1 (0.48) | 4 (5.48) | |
| Motor sarcomeric | 11 (3.90) | 7 (3.35) | 4 (5.48) | |
| TTN | 62 (21.99) | 45 (21.53) | 17 (23.29) | |
| Other genes | 20 (7.09) | 13 (6.22) | 7 (9.59) | |
ACE inhibitor, angiotensin-converting enzyme inhibitors; ARB, angiotensin receptor blocker; ARNI, angiotensin receptor-neprilysin inhibitor; CRT, cardiac resynchronization therapy; DCM, idiopathic dilated cardiomyopathy; HF, heart failure; FH, family history; iSGLT2, sodium-glucose cotransporter 2 inhibitors; LBBB, left bundle branch block; LVEDD, left ventricular end-diastolic diameter; LVEF, left ventricular ejection fraction; MRA, mineralocorticoid receptor antagonist; MR, mitral regurgitation; NYHA, New York Heart Association; P/LP, pathogenic/likely pathogenic; PASP, pulmonary artery systolic pressure; RVSD, right ventricular systolic dysfunction; SCD, sudden cardiac death; SVT, sustained ventricular tachycardia.
The values are expressed as No. (%), mean±standard deviation, or median [interquartile range].
Outcomes and events according to LVRR persistence at long-term are presented in . After a median follow-up of 4.54 years [IQR 2.80-7.53 years], 33 patients had MACE (11.6%), 16 (5.6%) had ESHF events, and 18 (6.3%) MVA. MACE occurred in 18 (24.7%) patients in the worsening LVEF group and in 15 (7.1%) patients in the persistent LVRR group. The HR for MACE was 2.34 (95%CI, 1.17-4.71; P=.017) for patients with LVEF worsening compared with the persistent-LVRR group. ESHF occurred in 13 (17.8%) patients in the worsening LVEF group and 3 (1.4%) patients in the persistent LVRR group (HR, 7.82; 95%CI, 2.20-27.83; P <.001). MVA occurred in 9 (12.3%) patients in the worsening LVEF group and 9 (4.3%) patients in the persistent LVRR group (HR, 2.12; 95%CI, 0.79-5.67; P=.139) (figure 4, ).
Outcomes in patients with persistent LVRR vs those with worsening LVEF among patients with an initial positive LVRR. Cumulative event rates for (A) major adverse cardiovascular events, (B) end-stage heart failure, and (C) major ventricular arrhythmia at last follow-up. 95%CI, 95% confidence interval; LVEF, left ventricular ejection fraction; LVRR, left ventricular reverse remodeling.
In this large multicenter study of genotyped patients with DCM, we found that the underlying genotype strongly influenced the chances of achieving LVRR. Furthermore, we found that approximately one quarter of patients with initial LVRR showed subsequent deterioration of LVEF during follow-up and that long-term deterioration also varies according to the underlying genotype. Lastly, we confirm that the absence of LVRR at mid-term and subsequent deterioration at long-term were associated with worse clinical outcomes.
This study constitutes the largest cohort of genotyped DCM patients evaluating treatment response at mid- and long-term reported to date and illustrates the impact of LVRR on prognosis. Our study adds to the available knowledge to consider formulating the indications and timing for ICD implantation in DCM.
Clinical practice guidelines recommend ICD implantation in patients with DCM, symptomatic heart failure, and LVEF ≤ 35% after ≥ 3 months of optimal medical treatment.12,18,19 A 3-month period after optimal medical treatment is required to re-evaluate LVEF and stratify the risk of sudden death. Our study identifies a large subgroup of patients (negative genotype and carriers of TTN variants) that are more likely to have favorable remodeling and recover with standard medical therapy at 12 months. Patients with negative genetic testing or harboring TTN variants have been reported to have fewer arrhythmic complications. Therefore, in light of our findings, it might be reasonable to wait until 1 year to assess treatment response in patients with these genotypes. In contrast, patients with other genotypes (particularly desmosomal and nuclear envelope genes) exhibited reduced LVRR at mid-term and a greater risk of worsening LVEF at long- term even after an initial recovery, which were both associated with worse outcomes during follow-up. According to these findings, it might be reasonable to behave more aggressively in patients with these genotypes and proceed to ICD implantation without waiting for LVEF response.
Our study shows that LVRR at mid-term is associated with better prognosis. The rate of LVRR among studies is highly variable, ranging from 9% to 52% of patients.7,11,20–24 Potential explanations for the heterogeneous rates of LVRR reported are the different LVRR definitions used, the time at which LVRR was assessed, the period in which the studies were carried out, and the genetic diversity of the patients studied. In our study, 43% of patients achieved LVRR after 1 year of optimal medical treatment, while a recent Dutch study of 346 patients reported LVRR in 52% of patients.7 Differences in the number of genotype-positive participants (22% in the Dutch study) and the percentage of patients with more aggressive genotypes (only 12% of genotype positives) might explain the differences found between that study and ours.
Our results indicate that neurohormonal treatment response is largely determined by genotype. DCM patients with a negative genotype and carriers of variants in the TTN gene were associated with a high probability of LVRR, while certain genotypes (desmosomal, nuclear envelope, and motor sarcomeric genes) were strong negative predictors for LVRR at mid-term. The lower LVEF and admission for decompensated heart failure at diagnosis were also predictors of positive LVRR, but again all these parameters seemed to be influenced by genotype because the presence of decompensated HF and severe left ventricular dysfunction at diagnosis were more frequent in patients with a negative genotype or who were TTN gene carriers. In other genotypes that exhibited a lower rate of LVRR, patients were more likely to be diagnosed earlier after an arrhythmic event or within family screening due to a greater burden of family history of DCM or SCD. In line with our findings, a recent multicenter study by Setti et al.11 reported that the presence of TTN truncating variants was associated with LVRR, whereas the presence of arrhythmogenic gene mutations or a ring-like pattern of late gadolinium enhancement were negatively associated with LVRR at 1 year. These data suggest that integrating genetic and cardiac magnetic resonance imaging findings (including the presence, extent, and localization of late gadolinium enhancement) within a multiparametric framework may aid clinicians in conducting a more personalized risk assessment and in providing reassurance to patients likely to experience LVRR.
The most recent guidelines recommend that patients with DCM maintain neurohormonal treatment indefinitely despite LVRR, since patients with recovered LVEF could relapse following treatment withdrawal.25 Our findings support this recommendation as we found that after an initial recovery, and despite medical treatment, 25% of patients showed worsening LVEF, even among those who normalized LVEF.
So far, information about specific genotypes and treatment response at long-term after initial recovery was only available in patients with variants in TTN.10,13 Our study adds additional information about the impact of genotype on neurohormonal treatment response, showing that patients with variants in nuclear envelope and desmosomal genes have a very low rate of LVRR at mid-term and a high risk of worsening LVEF at long-term. However, as follow-up time increased, these differences became less pronounced, which is likely influenced by the limited number of patients with long-term follow-up. Therefore, larger studies are needed to assess the impact of genotype on treatment response over the very long term and to determine how to integrate this information into a more personalized monitoring scheme for DCM patients, avoiding the current “one- size-fits-all” approach.
Clinical perspectivesOur study adds to the available body of data to consider formulating the indications and timing for ICD implantation in DCM. We identified a subgroup of patients (negative genotype and carriers of TTN variants) who exhibit a high rate of LVRR at mid-term and a low rate of clinical events when LVRR occurs. Our data suggest that it may be reasonable to wait longer than the recommended 3-month period to assess treatment response and decide on device implantation in these patients. In contrast, other genetic clusters were associated a very low rate of LVRR at mid-term and with a greater risk of worsening LVEF at long term, even after an initial recovery. In these patients, ICD could be implanted earlier given the high chances of an unfavorable remodeling response. Finally, our study also highlights the need for close follow-up in DCM patients, even after an initial recovery, given the high rate of worsening LVEF and the increased rate of cardiovascular events observed in patients with LVEF deterioration.
LimitationsThe limitations of the study include its observational nature and retrospective design. Neurohormonal therapy was initiated and up-titrated according to routine clinical practice. Given the inclusion period of the study, most patients were not receiving SGLT2 inhibitors. Differences in baseline clinical profiles among genotypes may have led to differences in treatment intensity, potentially influencing LVRR outcomes. Main DCM genes were evaluated in all cases, but the genes included in NGS target panels varied between centers and over time, reflecting the evolving knowledge of DCM genetics in recent years. Although this is the largest cohort of genotyped DCM patients with serial echocardiographic evaluations reported to date, the limited number of patients belonging to certain gene groups restricts our ability to reach conclusions about these patients, especially regarding long-term follow-up, where the number of patients is limited. Furthermore, for the purpose of this study, at least two echocardiograms were required throughout follow-up. Therefore, patients who died or required a transplant before the second echocardiogram did not qualify for the study, which may introduce survivor bias. Finally, participating centers were specialized inherited cardiac diseases and heart failure units; therefore, findings might not be extrapolated to other settings.
CONCLUSIONSPatients with DCM and a positive genotype have a lower rate of LVRR at mid-term and are at greater risk of worsening LVEF in the long term after an initial recovery, with the exception of the TTN variant. Genotype is the main factor associated with LVRR in DCM. A significant number of individuals with initial LVRR show subsequent deterioration of LVEF, which is associated with worse clinical outcomes.
FUNDINGThis work was supported by grants from Instituto de Salud Carlos III “PI20/0320” (co-funded by the European Regional Development Fund/European Social Fund “A way to make Europe”/“Investing in your future”). The CNIC is supported by the ISCIII, MCIN, the Pro-CNIC Foundation, and the Severo Ochoa Centers of Excellence program (CEX2020-001041-S).
ETHICAL CONSIDERATIONSThe study was approved by the Hospital Universitario Puerta de Hierro ethics committee, which waived the requirement for informed consent. The study conformed to the principles of the Declaration of Helsinki. The authors from each participating center guarantee the integrity of the data. In accordance with the SAGER guidelines, sex and gender are not relevant to the results of the study.
STATEMENT ON THE USE OF ARTIFICIAL INTELLIGENCENo artificial intelligence tools were used in the preparation of this manuscript.
AUTHORS CONTRIBUTIONSProject conception and leadership: N. Mora-Ayestarán, P. García-Pavía, F. Domínguez. Data collection: N. Mora-Ayestarán, M.A. Espinosa-Castro, M. Navarro-Peñalver, E. Villacorta, M.G. Crespo-Leiro, V. Climent-Payá, G. Lacuey-Lecumberri, M.L. Peña-Peña, F.J. Bermúdez-Jiménez, J.M. García-Pinilla, M.V. Mogollón-Jiménez, J. Limeres-Freire, A. García-Álvarez, A. Bayés-Genís, J. Palomino-Doza, C. Tirón, T. Ripoll-Vera, J. López, M. Brion, S. Vilches-Soria, M. Sabater-Molina, B. García-Berrocal, J.M. Larrañaga-Moreira, M.I. García-Álvarez, M.T. Basurte-Elorz, H. Llamas-Gómez, I. Méndez-Fernández, I.P. Garrido-Bravo, E. González-López, M. Gallego-Delgado, R. Barriales-Villa. Data interpretation and analysis: N. Mora-Ayestarán, P. García-Pavía, J.P. Ochoa, and F. Domínguez interpreted and analyzed the clinical and genetic data. Manuscript preparation: N. Mora-Ayestarán, P. García-Pavía, J.P. Ochoa, and F. Domínguez drafted the manuscript with input from co-authors: M.A. Espinosa-Castro, M. Navarro-Peñalver, E. Villacorta, M.G. Crespo-Leiro, V. Climent-Payá, G. Lacuey-Lecumberri, M.L. Peña-Peña, F.J. Bermúdez-Jiménez, J.M. García-Pinilla, M.V. Mogollón-Jiménez, J. Limeres-Freire, A. García-Álvarez, A. Bayés-Genís, J. Palomino-Doza, C. Tirón, T. Ripoll-Vera, J. López, M. Brion, S. Vilches-Soria, M. Sabater-Molina, B. García-Berrocal, J.M. Larrañaga-Moreira, M.I. García-Álvarez, M.T. Basurte-Elorz, H. Llamas-Gómez, I. Méndez-Fernández, I.P. Garrido-Bravo, E. González-López, M. Gallego-Delgado, R. Barriales-Villa, E. Lara-Pezzi. All authors substantially contributed to the manuscript.
CONFLICTS OF INTERESTP. García-Pavía is an associate editor of Revista Española de Cardiología; the journal's editorial procedures to ensure impartial processing of the manuscript were followed. P. García-Pavía and F. Domínguez are funded by the Pathfinder Cardiogenomics Programme of the European Innovation Council of the European Union (DCM-NEXT project; grant 101115416). The remaining authors report no relationships relevant to the contents of this paper to disclose. The Hospital Universitario Puerta de Hierro, Hospital Clínic, Hospital Vall d’Hebron, Hospital Virgen del Rocío, Hospital Universitario Gregorio Marañón, and Hospital Universitario Virgen de la Arrixaca are members of the European Reference Network for Rare and Low Prevalence Complex Diseases of the Heart (ERN GUARD-Heart).
- –
Patients with nonischemic dilated cardiomyopathy who respond favorably to medical therapy have a better prognosis. In contrast, a positive genetic test for variants associated with dilated cardiomyopathy is linked to a higher incidence of adverse clinical events during follow-up.
- –
A negative genotype and TTN variants are associated with a higher likelihood of left ventricular reverse remodeling, whereas other positive genotypes are associated with a lower probability of remodeling. Despite an initial favorable response, a substantial proportion of patients subsequently experience recurrent deterioration of left ventricular ejection fraction, which is associated with an increased risk of cardiovascular events.
Supplementary data associated with this article can be found in the online version available at https://doi.org/10.1016/j.rec.2025.10.002.
