Chronic heart failure (CHF) is frequently linked to clinical frailty, a complex geriatric condition associated with negative outcomes. However, the full characterization of frailty is still debated. Fried and colleagues focused on a ‘physical phenotype’ of frailty based on the assessment of unintentional weight loss, muscle weakness, slow walking speed, low physical activity, and exhaustion,1 while Rockwood and colleagues fostered a multidimensional concept involving, besides physical impairments, comorbidity, disability, mental, nutritional, and social components (known as the ‘Canadian frailty index’, see supplemental material).2

We recently validated, in the Italian language, a modified version of the Canadian frailty index (mFI).3 Briefly, this tool has been adapted from the Canadian frailty index4 and explores the four domains of frailty: physical, mental, nutritional and socioeconomic. The mFI differs from the Canadian frailty index for the nutritional domain, assessed with the mini nutritional assessment, and the socioeconomic domain, assessed with the social support score. Frailty was stratified in three different degrees: light (0.1–16), moderate (16.1–27.0) and severe (>27.0).

In the present report, outpatients older than 65 years, who underwent comprehensive geriatric assessment (CGA), were assessed for frailty using the mFI and stratified for the presence and absence of CHF and by frailty degree. Mortality, disability (defined as ≥1 basic activity of daily living (BADL) lost from the baseline) and hospitalizations were assessed at 6, 12, 18 and 24 months of follow up.

Out of the 1077 study participants, 12 were excluded because they did not present any degree of frailty while 158 were lost to follow up. Thus, the final number was 907 participants. Demographic and clinical parameters are shown in Table 1. Patients with CHF were 20.9% of the sample and when the sample was stratified by frailty degree, we observed a significant increase of CHF with increasing frailty score (from 13.4% to 25.1%, p < 0.05 per trend). Comorbidity (assessed by the cumulative illness rating scale) and disability (assessed by the BADL) were higher in patients with CHF and increased more in the presence than in the absence of CHF, with increasing frailty. In addition, the severity of the New York Heart Association (NYHA) class, the lower ejection fraction (≤45%), glomerular filtration rate, brain natriuretic peptide and use of drugs are negatively affected by increasing levels of frailty. Inflammatory biomarkers, such C- reactive protein, progressively increased with frailty more markedly in patients with CHF than in those without CHF. Finally, the frailty-related increase of mortality, disability, and hospitalization was more evident in patients with CHF than those without CHF. Cox analysis, corrected for age and sex, showed that for each mFI unit increase, the relative risk (RR) of mortality increases more in the presence of CHF than in the absence of CHF (Figure 1). Accordingly, disability and hospitalization were higher in the presence of CHF than in the absence of CHF (relative risk (RR) = 1.06, 95% confidence interval (CI) 1.02–1.09 versus 1.02, 95% CI 1.01–1.07 and 1.14, 95% CI 1.05–1.18 versus 1.03, 95% CI 1.01–1.05, respectively).

Cox multivariate analysis on mortality stratified for the presence and absence of CHF and for frailty degree, quantified by the mFI.
Figure 1.

Cox multivariate analysis on mortality stratified for the presence and absence of CHF and for frailty degree, quantified by the mFI.

CHF: chronic heart failure; CI: confidence interval; mFI: modified frailty index; RR: relative risk.

Table 1.

Baseline characteristics of study population stratified by the presence or absence of CHF and frailty degree.

VariablesCHF
Frailty
Light (n = 292, 32.1 ± %)
Moderate (n = 289, 31.9%)
Severe (n = 326, 35.9%)
HF
HF
HF
noyesnoyesnoyesnoyes
n = 717, 79.1%n = 190, 20.9%n = 247, 84.6%n = 45, 15.4%n = 231, 76.9%n = 58, 23.1%n = 239, 73.3%n = 87, 26.7%
Age (years)81.3 ± 6.581.5 ± 6.479.8 ± 6.779.7 ± 7.381.8 ± 6.181.5 ± 5.982.4 ± 6.282.3 ± 6.2
Female sex, n (%)283 (39.5)105 (55.3)*127 (51.4)37 (81.2)*79 (35.4)32 (55.1)*77 (32.2)36 (41.4)*
Hypertension, n (%)576 (80.3)168 (88.4)*174 (70.4)41 (91.1)*186 (83.4)56 (83.6)216 (90.4)71 (81.6)
Coronary Artery Disease, n (%)170 (23.7)102 (53.7)*56 (22.7)30 (66.7)*46 (20.6)31 (46.3)*68 (28.5)41 (47.1)*
CIRS score3.6 ± 2.04.8 ± 2.5*2.8 ± 1.94.6 ± 3.9*3.6 ± 1.84.7 ± 2.0*4.4 ± 1.95.3 ± 2.0*
BADL lost1.8 ± 1.82.2 ± 2.0*0.5 ± 1.20.7 ± 1.41.3 ± 1.61.7 ± 1.43.3 ± 1.63.5 ± 1.6*
NYHA II–III, n (%)176 (24.5)169 (88.9)*25 (10.1)32 (33.7)*68 (30.5)60 (89.6)*83 (34.7)77 (88.5)*
LVEF ≤ 45%, n (%)0 (0.0)127 (66.8)*3 (1.2)35 (36.8)*5 (2.2)38 (56.7)*7 (2.8)54 (69.2)*
BNP (pg/ml)282 ± 410572 ± 620*354 ± 310362 ± 520565 ± 730654 ± 410530 ± 420765 ± 630*
GFR (ml/min)§68.5 ± 21.441.4 ± 11.6*68.8 ± 20.265.3 ± 28.261.2 ± 11.655.2 ± 14.652.4 ± 12.838.0 ± 16.6*
Drugs (n)5.6 ± 2.97.8 ± 3.0*5.5 ± 2.88.4 ± 2.9*5.7 ± 2.87.5 ± 3.2*6.2 ± 3.18.1 ± 3.1*
CRP (mg/dl)0.64 ± 0.500.95 ± 0.30*0.50 ± 0.420.51 ± 0.570.65 ± 0.400.60 ± 0.480.51 ± 0.401.10 ± 0.50*
mFI, score20.4 ± 9.123.3 ± 7.7*9.7 ± 4.412.1 ± 2.9*22.0 ± 3.222.2 ± 3.1*29.8 ± 2.130.7 ± 2.4*
Mortality, n (%)84 (11.7)39 (20.5)*2 (0.8)0 (0.0)14 (6.3)7 (10.4)68 (28.5)32 (36.8)*
Disability, n (%)448 (62.4)150 (78.9)*108 (43.7)19 (42.2)155 (69.5)54 (80.6)*185 (77.4)77 (88.5)*
Hospitalizations, n (%)246 (34.3)104 (54.7)*48 (19.4)12 (26.7)63 (28.3)24 (35.8)135 (56.5)68 (78.2)
VariablesCHF
Frailty
Light (n = 292, 32.1 ± %)
Moderate (n = 289, 31.9%)
Severe (n = 326, 35.9%)
HF
HF
HF
noyesnoyesnoyesnoyes
n = 717, 79.1%n = 190, 20.9%n = 247, 84.6%n = 45, 15.4%n = 231, 76.9%n = 58, 23.1%n = 239, 73.3%n = 87, 26.7%
Age (years)81.3 ± 6.581.5 ± 6.479.8 ± 6.779.7 ± 7.381.8 ± 6.181.5 ± 5.982.4 ± 6.282.3 ± 6.2
Female sex, n (%)283 (39.5)105 (55.3)*127 (51.4)37 (81.2)*79 (35.4)32 (55.1)*77 (32.2)36 (41.4)*
Hypertension, n (%)576 (80.3)168 (88.4)*174 (70.4)41 (91.1)*186 (83.4)56 (83.6)216 (90.4)71 (81.6)
Coronary Artery Disease, n (%)170 (23.7)102 (53.7)*56 (22.7)30 (66.7)*46 (20.6)31 (46.3)*68 (28.5)41 (47.1)*
CIRS score3.6 ± 2.04.8 ± 2.5*2.8 ± 1.94.6 ± 3.9*3.6 ± 1.84.7 ± 2.0*4.4 ± 1.95.3 ± 2.0*
BADL lost1.8 ± 1.82.2 ± 2.0*0.5 ± 1.20.7 ± 1.41.3 ± 1.61.7 ± 1.43.3 ± 1.63.5 ± 1.6*
NYHA II–III, n (%)176 (24.5)169 (88.9)*25 (10.1)32 (33.7)*68 (30.5)60 (89.6)*83 (34.7)77 (88.5)*
LVEF ≤ 45%, n (%)0 (0.0)127 (66.8)*3 (1.2)35 (36.8)*5 (2.2)38 (56.7)*7 (2.8)54 (69.2)*
BNP (pg/ml)282 ± 410572 ± 620*354 ± 310362 ± 520565 ± 730654 ± 410530 ± 420765 ± 630*
GFR (ml/min)§68.5 ± 21.441.4 ± 11.6*68.8 ± 20.265.3 ± 28.261.2 ± 11.655.2 ± 14.652.4 ± 12.838.0 ± 16.6*
Drugs (n)5.6 ± 2.97.8 ± 3.0*5.5 ± 2.88.4 ± 2.9*5.7 ± 2.87.5 ± 3.2*6.2 ± 3.18.1 ± 3.1*
CRP (mg/dl)0.64 ± 0.500.95 ± 0.30*0.50 ± 0.420.51 ± 0.570.65 ± 0.400.60 ± 0.480.51 ± 0.401.10 ± 0.50*
mFI, score20.4 ± 9.123.3 ± 7.7*9.7 ± 4.412.1 ± 2.9*22.0 ± 3.222.2 ± 3.1*29.8 ± 2.130.7 ± 2.4*
Mortality, n (%)84 (11.7)39 (20.5)*2 (0.8)0 (0.0)14 (6.3)7 (10.4)68 (28.5)32 (36.8)*
Disability, n (%)448 (62.4)150 (78.9)*108 (43.7)19 (42.2)155 (69.5)54 (80.6)*185 (77.4)77 (88.5)*
Hospitalizations, n (%)246 (34.3)104 (54.7)*48 (19.4)12 (26.7)63 (28.3)24 (35.8)135 (56.5)68 (78.2)

BADL: basic activity of daily living; BNP: brain natriuretic peptide; CHF: chronic heart failure; CIRS: cumulative index rating scale; CRP: C-reactive protein; GFR: glomerular filtration rate; LVEF: left ventricular ejection fraction; mFI: modified frailty index; NYHA: New York Heart Association.

*

p < 0.01 versus no CHF.

Echocardiography was available in 65% of participants (n = 590).

BNP was available in 32.5% of participants (n = 295).

§

GFR was available in 92.0% of participants (n = 834).

Table 1.

Baseline characteristics of study population stratified by the presence or absence of CHF and frailty degree.

VariablesCHF
Frailty
Light (n = 292, 32.1 ± %)
Moderate (n = 289, 31.9%)
Severe (n = 326, 35.9%)
HF
HF
HF
noyesnoyesnoyesnoyes
n = 717, 79.1%n = 190, 20.9%n = 247, 84.6%n = 45, 15.4%n = 231, 76.9%n = 58, 23.1%n = 239, 73.3%n = 87, 26.7%
Age (years)81.3 ± 6.581.5 ± 6.479.8 ± 6.779.7 ± 7.381.8 ± 6.181.5 ± 5.982.4 ± 6.282.3 ± 6.2
Female sex, n (%)283 (39.5)105 (55.3)*127 (51.4)37 (81.2)*79 (35.4)32 (55.1)*77 (32.2)36 (41.4)*
Hypertension, n (%)576 (80.3)168 (88.4)*174 (70.4)41 (91.1)*186 (83.4)56 (83.6)216 (90.4)71 (81.6)
Coronary Artery Disease, n (%)170 (23.7)102 (53.7)*56 (22.7)30 (66.7)*46 (20.6)31 (46.3)*68 (28.5)41 (47.1)*
CIRS score3.6 ± 2.04.8 ± 2.5*2.8 ± 1.94.6 ± 3.9*3.6 ± 1.84.7 ± 2.0*4.4 ± 1.95.3 ± 2.0*
BADL lost1.8 ± 1.82.2 ± 2.0*0.5 ± 1.20.7 ± 1.41.3 ± 1.61.7 ± 1.43.3 ± 1.63.5 ± 1.6*
NYHA II–III, n (%)176 (24.5)169 (88.9)*25 (10.1)32 (33.7)*68 (30.5)60 (89.6)*83 (34.7)77 (88.5)*
LVEF ≤ 45%, n (%)0 (0.0)127 (66.8)*3 (1.2)35 (36.8)*5 (2.2)38 (56.7)*7 (2.8)54 (69.2)*
BNP (pg/ml)282 ± 410572 ± 620*354 ± 310362 ± 520565 ± 730654 ± 410530 ± 420765 ± 630*
GFR (ml/min)§68.5 ± 21.441.4 ± 11.6*68.8 ± 20.265.3 ± 28.261.2 ± 11.655.2 ± 14.652.4 ± 12.838.0 ± 16.6*
Drugs (n)5.6 ± 2.97.8 ± 3.0*5.5 ± 2.88.4 ± 2.9*5.7 ± 2.87.5 ± 3.2*6.2 ± 3.18.1 ± 3.1*
CRP (mg/dl)0.64 ± 0.500.95 ± 0.30*0.50 ± 0.420.51 ± 0.570.65 ± 0.400.60 ± 0.480.51 ± 0.401.10 ± 0.50*
mFI, score20.4 ± 9.123.3 ± 7.7*9.7 ± 4.412.1 ± 2.9*22.0 ± 3.222.2 ± 3.1*29.8 ± 2.130.7 ± 2.4*
Mortality, n (%)84 (11.7)39 (20.5)*2 (0.8)0 (0.0)14 (6.3)7 (10.4)68 (28.5)32 (36.8)*
Disability, n (%)448 (62.4)150 (78.9)*108 (43.7)19 (42.2)155 (69.5)54 (80.6)*185 (77.4)77 (88.5)*
Hospitalizations, n (%)246 (34.3)104 (54.7)*48 (19.4)12 (26.7)63 (28.3)24 (35.8)135 (56.5)68 (78.2)
VariablesCHF
Frailty
Light (n = 292, 32.1 ± %)
Moderate (n = 289, 31.9%)
Severe (n = 326, 35.9%)
HF
HF
HF
noyesnoyesnoyesnoyes
n = 717, 79.1%n = 190, 20.9%n = 247, 84.6%n = 45, 15.4%n = 231, 76.9%n = 58, 23.1%n = 239, 73.3%n = 87, 26.7%
Age (years)81.3 ± 6.581.5 ± 6.479.8 ± 6.779.7 ± 7.381.8 ± 6.181.5 ± 5.982.4 ± 6.282.3 ± 6.2
Female sex, n (%)283 (39.5)105 (55.3)*127 (51.4)37 (81.2)*79 (35.4)32 (55.1)*77 (32.2)36 (41.4)*
Hypertension, n (%)576 (80.3)168 (88.4)*174 (70.4)41 (91.1)*186 (83.4)56 (83.6)216 (90.4)71 (81.6)
Coronary Artery Disease, n (%)170 (23.7)102 (53.7)*56 (22.7)30 (66.7)*46 (20.6)31 (46.3)*68 (28.5)41 (47.1)*
CIRS score3.6 ± 2.04.8 ± 2.5*2.8 ± 1.94.6 ± 3.9*3.6 ± 1.84.7 ± 2.0*4.4 ± 1.95.3 ± 2.0*
BADL lost1.8 ± 1.82.2 ± 2.0*0.5 ± 1.20.7 ± 1.41.3 ± 1.61.7 ± 1.43.3 ± 1.63.5 ± 1.6*
NYHA II–III, n (%)176 (24.5)169 (88.9)*25 (10.1)32 (33.7)*68 (30.5)60 (89.6)*83 (34.7)77 (88.5)*
LVEF ≤ 45%, n (%)0 (0.0)127 (66.8)*3 (1.2)35 (36.8)*5 (2.2)38 (56.7)*7 (2.8)54 (69.2)*
BNP (pg/ml)282 ± 410572 ± 620*354 ± 310362 ± 520565 ± 730654 ± 410530 ± 420765 ± 630*
GFR (ml/min)§68.5 ± 21.441.4 ± 11.6*68.8 ± 20.265.3 ± 28.261.2 ± 11.655.2 ± 14.652.4 ± 12.838.0 ± 16.6*
Drugs (n)5.6 ± 2.97.8 ± 3.0*5.5 ± 2.88.4 ± 2.9*5.7 ± 2.87.5 ± 3.2*6.2 ± 3.18.1 ± 3.1*
CRP (mg/dl)0.64 ± 0.500.95 ± 0.30*0.50 ± 0.420.51 ± 0.570.65 ± 0.400.60 ± 0.480.51 ± 0.401.10 ± 0.50*
mFI, score20.4 ± 9.123.3 ± 7.7*9.7 ± 4.412.1 ± 2.9*22.0 ± 3.222.2 ± 3.1*29.8 ± 2.130.7 ± 2.4*
Mortality, n (%)84 (11.7)39 (20.5)*2 (0.8)0 (0.0)14 (6.3)7 (10.4)68 (28.5)32 (36.8)*
Disability, n (%)448 (62.4)150 (78.9)*108 (43.7)19 (42.2)155 (69.5)54 (80.6)*185 (77.4)77 (88.5)*
Hospitalizations, n (%)246 (34.3)104 (54.7)*48 (19.4)12 (26.7)63 (28.3)24 (35.8)135 (56.5)68 (78.2)

BADL: basic activity of daily living; BNP: brain natriuretic peptide; CHF: chronic heart failure; CIRS: cumulative index rating scale; CRP: C-reactive protein; GFR: glomerular filtration rate; LVEF: left ventricular ejection fraction; mFI: modified frailty index; NYHA: New York Heart Association.

*

p < 0.01 versus no CHF.

Echocardiography was available in 65% of participants (n = 590).

BNP was available in 32.5% of participants (n = 295).

§

GFR was available in 92.0% of participants (n = 834).

There is a growing interest in the role of frailty in cardiovascular patients, especially in those affected by CHF.5 Two main models of frailty have been advanced: the phenotypic model or deficits accumulation model (i.e. clinical frailty), and different instruments have been proposed and validated to measure frailty.6 For instance, clinical frailty was independently associated with mortality in elderly patients with non-ST elevated myocardial infarction.7 However, prognostic relevance of frailty in CHF in elderly patients is somewhat limited and difficult to interpret. It is conceivable that the real misinterpretation of frailty data stems from the type of frailty assessed. A recent meta-analysis reported that the prevalence of a frail-phenotype in CHF patients ranged from 19% to 77%, while multidimensional frailty ranged from 15% to 89%.8 This significant heterogeneity of the results implies a lack of specificity in the assessment. As underlined before, the most relevant problem is a reasonably accurate definition of frailty. The ‘frail phenotype’ has the advantage of being relatively easy to identify but also the disadvantage of identifying a frailty that favours only functional impairments (i.e. ‘physical’ frailty).1 In addition, when considering ‘physical’ frailty in CHF patients, frailty might be often blurred by CHF-related signs and symptoms.5,9 In contrast, a ‘multidimensional’ frailty involving not only physical and mental but also nutritional and psychosocial components could be more accurate for clinical frailty identification.10 In this context, mFI, which includes all domains of multidimensional assessment, seems to provide a good prognostic tool as compared with identification of a ‘frail phenotype’.3

Our study shows that clinical frailty, detected and quantified by mFI, is highly prevalent in elderly patients with CHF. More importantly, mortality, disability and hospitalization rates are significantly predicted by mFI more in the presence of CHF than in the absence of CHF. These results encourage identifying and, more importantly, quantifying the condition of ‘multidimensional’ frailty in the elderly with CHF. In this regard, the mFI seems to be an appropriate tool.

Declaration of conflicting interests

The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Funding

The author(s) received no financial support for the research, authorship, and/or publication of this article.

References

1

Fried
LP
,
Tangen
CM
,
Walston
J
et al.  
Cardiovascular Health Study Collaborative Research Group. Frailty in older adults: evidence for a phenotype
.
J Gerontol A Biol Sci Med Sci
 
2001
;
56
:
M146
M156
.

2

Rockwood
K
,
Song
X
,
MacKnight
C
et al.  
A global clinical measure of fitness and frailty in elderly people
.
CMAJ
 
2005
;
173
:
489
495
.

3

Abete
P
,
Basile
C
,
Bulli
G
et al.  
The Italian version of the ‘frailty index’ based on deficits in health: A validation study
.
Aging Exp Clin Res
 
2017
;
29
:
913
926
.

4

Searle
SD
,
Mitnitski
A
,
Gahbauer
EA
et al.  
A standard procedure for creating a frailty index
.
BMC Geriatr
 
2008
;
30
:
8
24
.

5

Afilalo
J
,
Alexander
KP
,
Mack
MJ
et al.  
Frailty assessment in the cardiovascular care of older adults
.
J Am Coll Cardiol
 
2014
;
63
:
747
762
.

6

Vigorito
C
,
Abreu
A
,
Ambrosetti
M
et al.  
Frailty and cardiac rehabilitation: A call to action from the EAPC cardiac rehabilitation section
.
Eur J Prev Cardiol
 
2017
;
24
:
577
590
.

7

Ekerstad
N
,
Pettersson
S
,
Alexander
K
et al.  
Frailty as an instrument for evaluation of elderly patients with non-ST-segment elevation myocardial infarction: A follow-up after more than 5 years
.
Eur J Prev Cardiol
 
2018
;
25
:
1813
1821
.

8

Denfeld
QE
,
Winters-Stone
K
,
Mudd
JO
et al.  
The prevalence of frailty in heart failure: A systematic review and meta-analysis
.
Int J Cardiol
 
2017
;
236
:
283
289
.

9

Cacciatore F, Abete P, Mazzella F, et al. Six-minute walking test but not ejection fraction predicts mortality in elderly patients undergoing cardiac rehabilitation following coronary artery bypass grafting. Eur J Prev Cardiol 2012; 19: 1401–1409
.

10

Cruz-Jentoft
AJ
,
Kiesswetter
E
,
Drey
M
et al.  
Nutrition, frailty, and sarcopenia
.
Aging Clin Exp Res
 
2017
;
29
:
43
48
.

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