Literature DB >> 30880925

Modified frailty as a novel factor in predicting the response to cardiac resynchronization in the elderly population.

Agnieszka Mlynarska1,2, Rafal Mlynarski2,3, Czeslaw Marcisz1, Krzysztof S Golba2,3.   

Abstract

BACKGROUND: The response to cardiac resynchronization therapy (CRT) is an important element of the treatment of advanced heart failure, especially in the geriatric population. The aim of the study was to examine the impact of frailty syndrome on the response to treatment with CRT.
METHODS: Two hundred and forty-six patients of 60 years or older (aged 73.35±6.95; 22.4% women) with an implanted CRT were included in this single-center prospective study. There was a 12-month follow-up. The Tilburg Frailty Indicator was used to determine frailty (5 or more points). The response to CRT was evaluated based on an analysis of clinical criteria.
RESULTS: One hundred and sixty-nine of 246 (68.9%) patients were found to be clinical CRT responders. Frailty syndrome was recognized in 173 (70.32%). There were 63.0% responders in the frailty-affected group, whereas there were statistically more responders (79.5%) in the robust group (P=0.0116). In the logistic regression, frailty emerged as an independent predictor of the response to CRT (OR=0.81, 95% CI=0.71-0.92; P=0.0008). The area under the curve of the ROC curve for frailty in the responders to CRT was 0.62. The cut-off value for a designation of frailty was 6 (P=0.0014).
CONCLUSION: Frailty is a novel independent factor that can be used to predict the clinical response to CRT in the elderly population. Modifying the level of recognition in the Tilburg Frailty Indicator can improve the prediction of a response to CRT.

Entities:  

Keywords:  cardiac resynchronization; frailty syndrome; heart failure; outcomes; responders

Mesh:

Year:  2019        PMID: 30880925      PMCID: PMC6394238          DOI: 10.2147/CIA.S193577

Source DB:  PubMed          Journal:  Clin Interv Aging        ISSN: 1176-9092            Impact factor:   4.458


Introduction

Cardiac Resynchronization Therapy (CRT) is currently a recognized form of treatment for patients with advanced heart failure with an impaired left ventricular systolic function (Heart Failure with a reduced Ejection Fraction – HFrEF).1 In this method, leads are inserted into the left and right ventricles of the heart, as well as into the right atrium if necessary. CRT facilitates a coordinated, simultaneous pacing of the left ventricular and right ventricular. It improves cardiac systolic function, reduces the severity of the failure symptoms, improves the quality-of-life, and reduces morbidity and long-term mortality. However, analyses of the available data have shown that quite a large percentage of patients (25%–50%) do not respond to CRT satisfactorily. There are many predictors of a positive response to CRT, which can be divided into three main groups: the clinical characteristics of the patient, the advancement of the CRT device and the site that the left ventricular lead is implanted, and the programming of the CRT device and the care after the implantation. The effectiveness of CRT has been confirmed in many clinical trials such as COMPANION, CARE-HF, RAFT, REVERSE, and MADIT-CRT.2–5 Despite the positive results of these studies, a group of patients who have undergone CRT do not have significant advantages. Evaluating the effectiveness of resynchronization therapy is difficult due to the fact that it can be distorted by many factors. One of the limitations of assessing the effectiveness of CRT is the subjectivity of the evaluation.6 The response to cardiac resynchronization is also an important element in the treatment of advanced heart failure in the geriatric population. Elderly patients comprise more than 80% of the population who have been diagnosed with heart failure. Due to the growing number of elderly individuals with diagnosed heart failure, a special approach to their treatment is required. This means that attention must be paid to geriatric conditions such as poor mobility, physical disabilities, and cognitive impairment. All of these factors significantly affect the course of heart failure and may also affect its treatment and prognosis in older patients. Due to its prognostic role, identifying the prevalence of frailty syndrome is crucial in patients with heart failure.7–9 Frailty syndrome is considered to be an important medical syndrome and is defined as a biological condition that is related to age, which is characterized by a decrease in the biological reserves due to the dysregulation of several physiological systems.10 The aim of the study was to examine the impact of frailty syndrome on the response to cardiac resynchronization therapy.

Methods

Two hundred and forty-six elderly patients (mean age=73.35±6.95) with diagnosed heart failure who were hospitalized due to the implantation of CRT-P (pacemaker type) and CRT-D (cardioverter-defibrillator type) resynchronizing systems were included into a single-center prospective study. Elderly is defined as individuals 60 years or older according to the United Nations. There was a 12-month follow-up. The patients were qualified for CRT implantation according to the class I 2016 European Society of Cardiology guidelines for treating patients with heart failure: left bundle branch block (LBBB) with a QRS >130 ms, an ejection fraction (EF) ≤35% who were undergoing optimal pharmacological therapy.1 Patients with heart failure with a preserved ejection fraction regardless of their New York Heart Association Functional Classification (NYHA class) who had an indication for ventricular pacing and a high degree AV block were excluded. Patients with psychiatric disorders or a previous stroke, those who required intensive cardiac care, and individuals who submitted an incorrect or incomplete questionnaire were also excluded.

Definition of the response to CRT

We decided to use a predefined subjective definition for the cumulative response to cardiac resynchronization 12 months after the implantation of a CRT device. Our definition included: a reduction in the NYHA class by at least one heart failure hospitalization during follow-up a 10% absolute improvement in the base (calculated before CRT implantation) of the left ventricle ejection fraction, which was assessed by an experienced certified echocardiography specialist using the biplane Simpson method. Patients who had an occurrence of each of the sub points were treated as responders. Patients who died due to the worsening of HF during the follow-up period or who had a heart transplant were considered to be non-responders.11,12

Response to CRT

The patients who were included into the study were divided into two groups depending on their response to resynchronization therapy: CRT responders – 169 (68.7%) CRT non-responders – 77 (31.3%). A physical examination, anthropometric examination, and laboratory tests were also performed on all of the patients who were included into the study.

Frailty measurements

In order to diagnose the occurrence of frailty syndrome in all of the patients who were included into the study, the Polish language version of the Tilburg Frailty Indicator (TFI) questionnaire was used. The Tilburg Frailty Indicator is a 15-item tool, which uses a bio-psycho-social approach, and was selected to determine frailty before implantation. The TFI consists of two different parts: the first part includes the sociodemographic characteristics of a participant and the potential determinants of frailty, while the second part addresses the components of frailty, which are divided into three domains: the physical domain, the psychological domain, and the social domain. The TFI scale total score ranges from 0 to 15 – the higher the score, the higher the degree of one’s frailty. A score of 5 or more points was treated as frailty. The scale is highly reliable in identifying frailty patients. The Tilburg Frailty Indicator was answered by the patients themselves (as in the manual for this tool) before CRT implantation.13 Patients were divided into two groups according to the presence of frailty: Examined group – frailty affected patients. Control group – robust patients, with no presence of frailty symptoms. The local ethics committee of the Medical University of Silesia approved the study protocol (approval no KNW/0022/KB1/13/17). The study protocol complied with the version of the Helsinki Convention that was current at the time the study was designed. All patients gave written informed consent and were aware of all their rights, including the right to withdraw from the study at any stage of the investigation.

Statistical analyses

In order to check the normality of the data distribution, the Shapiro-Wilk test was used. Comparisons of the two groups were performed using the Student’s t-test when there was a normal distribution of a variable in the groups being analyzed or using the Mann–Whitney test for distributions that were not normal. The chi2 test was also used for selected nonparametric data when applicable. Logistic regression analysis was also used to predict the factors of a CRT response. The results were considered to be significant at P-values <0.05. A receiver operating characteristic (ROC) curve analysis was used to evaluate the diagnostic performance of frailty syndrome. The area under the curve was calculated to reflect and to compare the predictive value of frailty syndrome in order to discriminate the patients who were CRT responders. All of the presented analyses were performed using MedCalc (MedCalc Software, Ostend, Belgium).

Results

The characteristics of the patients who were included into the study are presented in Table 1. Of the 246, 169 (68.9%) patients were found to be clinical CRT responders. The gender-related difference was not significant: 70.68% men and 65.45% women (P=0.4581). Frailty syndrome was identified in 173 of the 246 (70.32%) patients. There were 109/173 (63.0%) responders in the frailty-affected group, whereas there were statistically more responders, 58/73 (79.5%), in the robust group; P=0.0116. Frailty syndrome occurred in 136/191 (71.20%) men. An effective response to resynchronization therapy – the CRT responders in the group of men identified 90/136 (66.17%) patients with diagnosed frailty syndrome and 45/55 (81.81%) in the robust patients. Men with no diagnosed frailty syndrome had a positive response to resynchronization therapy (P=0.0315) statistically more often. Among the women, frailty syndrome occurred in 37/55 (67.27%) patients. A positive response to the resynchronization therapy was found in 22/37 (59.45%) of the women with diagnosed frailty syndrome and 14/18 (77.78%) women in which frailty syndrome was not identified. Among the women, there was no statistically significant difference in the response to the resynchronization therapy that was dependent on the diagnosis of frailty syndrome (P=0.2991). The mean values of frailty syndrome and the individual domains that were dependent on the response to CRT are shown in Table 2.
Table 1

Characteristics of the patients that were included into the study

FactorsAll (n=246)Responder (n=169)Non-responder (n=77)P-value
Age (years)73.4±6.974.0±7.171.9±6.80.0256
Obesity (%)19.920.1218.20.7223
Hypertension (%)87.891.179.20.0091
Diabetes (%)44.745.642.90.6923
Smoking (%)18.317.222.10.3589
Family history (%)17.516.619.50.2374
Ejection fraction (%)27.8±8.128.5±8.326.2±7.30.0343
Weight (kg)75.1±12.176.1±12.972.9±9.80.0830
Hyperlipidemia (%)65.466.362.30.5484
Systolic blood pressure (mmHg)123.4±15.0125.3±15.4119.1±13.20.0063
Diastolic blood pressure (mmHg)72.9±9.473.5±9.971.6±7.90.1910
Heart rate (bpm)71.6±15.071.3±15.872.2±13.00.7004
LBBB (%)65.466.962.30.4888
Ischemic etiology of heart failure (%)80.181.177.90.5671
Wide QRS complex >150 ms (%)65.065.064.90.9812
Atrial fribrillation (%)45.942.054.50.067
Sex female (%)22.821.924.70.6294
CRT-D (%)76.376.375.30.8638

Note: Values in bold are statistically significant.

Abbreviations: CRT-D, cardiac resynchronization therapy (cardioverter-defibrillator type); LBBB, Left Bundle Branch Block.

Table 2

The mean values of frailty syndrome and the individual domains depending on the response to CRT

VariablesAll patientsRespondersNon-respondersP-value
General frailty5.9±2.25.7±2.16.5±2.30.0070
Physical4.0±1.63.9±1.64.2±1.60.1392
Emotional1.1±1.01.1±1.01.3±1.10.1013
Social0.5±0.60.5±0.50.6±0.60.2261

Note: Values in bold are statistically significant.

Abbreviation: CRT, cardiac resynchronization therapy.

In the logistic regression, frailty emerged as an independent predictor of the response to CRT (OR=0.81, 95% CI=0.71–0.92; P=0.0008). Frailty syndrome was also an independent predictor in the response to therapy in the group of patients who had an implanted CRT-D (OR=0.85, 95% CI=0.74–0.98; P=0.0478). Such a relationship was not observed in the group of patients with an implanted CRT-P system. The ROC curves for frailty in the responders to CRT are presented in Figure 1. The area under the curve was 0.62 (95% CI=0.56–0.68). The cut-off value for a designation of frailty was 6 (P=0.0014). The ROC curves for frailty in the responders to CRT in the men’s group indicated that the area under the curve was 0.62 (95% CI=0.55–0.69). The cut-off value for a designation of frailty was ≤6 (P=0.0033). The ROC curves for frailty in the responders to CRT in the women’s group indicated that the area under the curve was 0.60 (95% CI=0.46–0.73). The cut-off value for a designation of frailty was ≤7; however, no values that were statistically significant (P=0.2260) were obtained. The gender-related ROC curves are presented graphically in Figures 2 and 3. During the 12-month follow-up period, 20.32% of the patients were rehospitalized. The incidence of rehospitalization during the 12-month follow-up was 26.62% in patients who had a frailty level ≥6 compared to 12.38% patients with a frailty level ≤6 (P=0.0075). The Kaplan–Meier curves showed that, depending on the number of TFI points that indicated a predisposition to a response to CRT, patients from the group with ≥6 points underwent re-hospitalization significantly more frequently during the 12-month follow-up compared to the patients who had fewer points on the TFI scale (P=0.0066). The detailed results, depending on the ROC score, are presented in Figure 4.
Figure 1

The ROC curves for frailty in the responders to CRT for all of the included patients.

Abbreviations: CRT, cardiac resynchronization therapy; ROC, receiver operating characteristic.

Figure 2

The ROC curves for frailty in the responders to CRT for men.

Abbreviations: CRT, cardiac resynchronization therapy; ROC, receiver operating characteristic.

Figure 3

The ROC curves for frailty in the responders to CRT for women.

Abbreviations: CRT, cardiac resynchronization therapy; ROC, receiver operating characteristic.

Figure 4

Survival probability without hospitalization in the Kaplan–Meier curves according to a score of 6 for frailty.

Discussion

CRT is a very effective therapy for patients with heart failure.14,15 However, 30% of patients do not benefit from CRT implantation, although the proportion of patients who does not respond to treatment varies depending on its definitions and criteria.16,17 The main goals of HF treatment should be to reduce the symptoms of HF, improve the quality-of-life, slow the progression of the disease, reduce the frequency of rehospitalizations and extend a patient’s life. At present, no consensus has been reached regarding the definition for the response to resynchronization therapy.18 Numerous studies have indicated that CRT reduces the morbidity and mortality of patients with heart failure. Decreasing the number of non-responders to CRT is essential for improving overall performance and lowering the benefit–risk ratio. The key is to identify non-responders according to a treatment plan that must be based on a universal definition of the response to CRT and must be carried out regularly.19,20 The response to cardiac resynchronization in octogenarians is also an important problem. Some experts believe that the advantages of CRT in this group may be limited. Meanwhile, there is some research that has documented that octogenarians may have similar advantages. Martens et al21 examined 686 patients, including 178 octogenarians (26%). A higher proportion of deaths that were not cardiovascular was observed in the octogenarians (74%) vs the younger patients (50%; P=0.022) with worsening heart failure rather than malignant tachyarrhythmia being the main cause of cardiac death. In this group, the survival rate was similar to the general age-matched population. Rickard et al,22 who examined 95 octogenarians with CRT, had similar results. In the end, the authors concluded that octogenarians with advanced heart failure have a reasonable mean survival time following CRT. All-cause mortality in this patient population was only modestly worse compared to the general octogenarian population. Verbrugge et al23 also examined the response to CRT in elderly patients (≥70 years) and octogenarians. The improvements in the reverse left ventricular remodeling and functional capacity after CRT are sustained at advanced age. However, the period of time until all-cause mortality or heart failure admission was similar, irrespective of age. All of these researches seem to confirm the fact that patients 80+ of age may be reasonable candidates for cardiac resynchronization, and that this therapy should not be contraindicated by the age of candidates. After identifying the reason for the lack of response to therapy, the care of a patient must be individualized and comprehensive.18 Frailty syndrome has been identified as a risk factor for rehospitalization due to heart failure, and a routine comprehensive geriatric assessment at the time of the diagnosis of heart failure is recommended. Domingez Rodriguez et al24 showed that a diagnosis of frailty syndrome is an independent factor for rehospitalization due to HF decompensation in a 12-month observation. Similar observations were presented by Lupon et al,25 who showed that patients with frailty had a higher risk of mortality, hospitalizations, and a worsening quality-of-life in a 12-month observation. In our study, we have documented that patients who score points above a set cut-off point have a worse prognosis and no response to the therapy. This observation is important primarily in men, in whom the occurrence of frailty syndrome affected the response to CRT statistically and significantly. We demonstrated that frailty is a predictor of a lack of response to resynchronization therapy in patients over 60 years of age. Similar conclusions were presented by Kubala et al,26 who believed that patients with 10.25 or more points in their ONCODAGE G8 score had more frequent hospitalizations and a higher mortality. In our population, the cut-off was 6 points; however, Kubala et al26 assessed a frailty group using a questionnaire that is used with individuals suffering from oncological diseases, while, in our study, we used a questionnaire that was validated on a group of patients with heart failure and that has high reliability parameters. In some research, women have shown a higher response to resynchronization therapy compared to men, and this was mainly associated with the age and condition of the respondents, which was not confirmed in our study. The worse response to CRT therapy in women may be due to the specific groups that were included in the study – women over 60 years of age as well as with the severity of frailty syndrome, which in diseases of the cardiovascular system are more common in women than in men. Although the cut-off point in women that predisposed them to a lack of response to CRT was higher, this result was not statistically significant. It seems that frailty syndrome may be one of the missing parameters that should be assessed during the qualification of patients for CRT implantation. An assessment of frailty may be a useful tool for selecting patients who will be responders of resynchronization therapy. We believe that patients with frailty syndrome should have an individualized and intensified plan of control visits and control of adherence to therapeutic recommendations.

Limitations

The response to CRT criteria varies depending on the research. There is a lack of a common, unified definition of a CRT response. The most common criteria that are used in the research are a reduction in the left ventricular systolic volume, an increase in the LVEF, an increase in peak VO2, an improvement of the NYHA class, an improvement in the quality-of-life, an improvement in six-minute walking distance, or a decrease in natriuretic peptides. We selected four of them to describe the response to CRT in the presented research. In our opinion, they are quite comparable and, from the point of view of the patient, describe the clinical and functional status relatively well, which is very important in elderly people. It is possible that changes in the definition of the CRT response could influence the results.

Conclusion

Frailty is a novel independent factor that can be used to predict the clinical response to CRT in the elderly population. Modifying the level of the identification of frailty syndrome in the Tilburg Frailty Indicator improved the prediction of the response to CRT.

Ethics approval

This study was approved by the Medical University of Silesia Ethical Committee (agreement KNW/0022/KB1/13/17).

Informed consent

All patients gave written informed consent and were aware of all their rights, including the right to withdraw from the study at any stage of the investigation.
  26 in total

1.  Cardiac-resynchronization therapy for mild-to-moderate heart failure.

Authors:  Anthony S L Tang; George A Wells; Mario Talajic; Malcolm O Arnold; Robert Sheldon; Stuart Connolly; Stefan H Hohnloser; Graham Nichol; David H Birnie; John L Sapp; Raymond Yee; Jeffrey S Healey; Jean L Rouleau
Journal:  N Engl J Med       Date:  2010-11-14       Impact factor: 91.245

2.  Assessment of response criteria to cardiac resynchronization therapy (CRT) and prediction of response.

Authors:  Marit Aarønæs; Svend Aakhus; Halfdan Aass; Torbjørn Moum; Ragnhild Wergeland; Lars Gullestad; Erik Kongsgård
Journal:  Scand Cardiovasc J       Date:  2010-12       Impact factor: 1.589

3.  Longer-term effects of cardiac resynchronization therapy on mortality in heart failure [the CArdiac REsynchronization-Heart Failure (CARE-HF) trial extension phase].

Authors:  John G F Cleland; Jean-Claude Daubert; Erland Erdmann; Nick Freemantle; Daniel Gras; Lukas Kappenberger; Luigi Tavazzi
Journal:  Eur Heart J       Date:  2006-06-16       Impact factor: 29.983

4.  2012 EHRA/HRS expert consensus statement on cardiac resynchronization therapy in heart failure: implant and follow-up recommendations and management.

Authors:  Jean-Claude Daubert; Leslie Saxon; Philip B Adamson; Angelo Auricchio; Ronald D Berger; John F Beshai; Ole Breithard; Michele Brignole; John Cleland; David B DeLurgio; Kenneth Dickstein; Derek V Exner; Michael Gold; Richard A Grimm; David L Hayes; Carsten Israel; Christophe Leclercq; Cecilia Linde; JoAnn Lindenfeld; Bela Merkely; Lluis Mont; Francis Murgatroyd; Frits Prinzen; Samir F Saba; Jerold S Shinbane; Jagmeet Singh; Anthony S Tang; Panos E Vardas; Bruce L Wilkoff; Jose Luis Zamorano; Inder Anand; Carina Blomström-Lundqvist; John P Boehmer; Hugh Calkins; Serge Cazeau; Victoria Delgado; N A Mark Estes; David Haines; Fred Kusumoto; Paco Leyva; Frank Ruschitzka; Lynne Warner Stevenson; Christian Tobias Torp-Pedersen
Journal:  Europace       Date:  2012-09       Impact factor: 5.214

5.  Geriatric conditions and subsequent mortality in older patients with heart failure.

Authors:  Sarwat I Chaudhry; Yongfei Wang; Thomas M Gill; Harlan M Krumholz
Journal:  J Am Coll Cardiol       Date:  2010-01-26       Impact factor: 24.094

6.  Effectiveness of Cardiac Resynchronization Therapy by QRS Morphology in the Multicenter Automatic Defibrillator Implantation Trial-Cardiac Resynchronization Therapy (MADIT-CRT).

Authors:  Wojciech Zareba; Helmut Klein; Iwona Cygankiewicz; W Jackson Hall; Scott McNitt; Mary Brown; David Cannom; James P Daubert; Michael Eldar; Michael R Gold; Jeffrey J Goldberger; Ilan Goldenberg; Edgar Lichstein; Heinz Pitschner; Mayer Rashtian; Scott Solomon; Sami Viskin; Paul Wang; Arthur J Moss
Journal:  Circulation       Date:  2011-02-28       Impact factor: 29.690

Review 7.  Non-responders to cardiac resynchronization therapy: the magnitude of the problem and the issues.

Authors:  Angelo Auricchio; Frits W Prinzen
Journal:  Circ J       Date:  2011-02-11       Impact factor: 2.993

8.  Response to cardiac resynchronization therapy in elderly patients (≥70 years) and octogenarians.

Authors:  Frederik H Verbrugge; Matthias Dupont; Philippe De Vusser; Maximo Rivero-Ayerza; Hugo Van Herendael; Jan Vercammen; Linda Jacobs; David Verhaert; Pieter Vandervoort; W H Wilson Tang; Wilfried Mullens
Journal:  Eur J Heart Fail       Date:  2012-09-20       Impact factor: 15.534

9.  Prognostic implication of frailty and depressive symptoms in an outpatient population with heart failure.

Authors:  Josep Lupón; Beatriz González; Sebastián Santaeugenia; Salvador Altimir; Agustín Urrutia; Dolores Más; Crisanto Díez; Teresa Pascual; Lucía Cano; Vicente Valle
Journal:  Rev Esp Cardiol       Date:  2008-08       Impact factor: 4.753

10.  Cardiac-resynchronization therapy for the prevention of heart-failure events.

Authors:  Arthur J Moss; W Jackson Hall; David S Cannom; Helmut Klein; Mary W Brown; James P Daubert; N A Mark Estes; Elyse Foster; Henry Greenberg; Steven L Higgins; Marc A Pfeffer; Scott D Solomon; David Wilber; Wojciech Zareba
Journal:  N Engl J Med       Date:  2009-09-01       Impact factor: 91.245

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1.  A Novel and Simple Exercise Test Parameter to Assess Responsiveness to Cardiac Resynchronization Therapy.

Authors:  Alina-Ramona Cozlac; Lucian Petrescu; Simina Crisan; Constantin Tudor Luca; Cristina Vacarescu; Caius Glad Streian; Mihai-Andrei Lazar; Andra Gurgu; Angela Dragomir; Emilia Violeta Goanta; Radu Vatasescu; Kandara Mohamed Chahine; Ciprian Rachieru; Dragos Cozma
Journal:  Diagnostics (Basel)       Date:  2020-11-09

Review 2.  Frailty Syndrome in Older Adults with Cardiovascular Diseases-What Do We Know and What Requires Further Research?

Authors:  Marta Wleklik; Quin Denfeld; Magdalena Lisiak; Michał Czapla; Marta Kałużna-Oleksy; Izabella Uchmanowicz
Journal:  Int J Environ Res Public Health       Date:  2022-02-16       Impact factor: 3.390

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