Research | Open | Published:
Differential aspects of stroke and congestive heart failure in quality of life reduction: a case series with three comparison groups
Health and Quality of Life Outcomesvolume 9, Article number: 65 (2011)
To assess QOL of patients with stroke in comparison to other groups (caregivers and CHF patients), to identify which items of QOL are more affected on each group and what is the functional profile of patients with stroke.
Consecutive stroke or congestive heart failure (CHF) patients were evaluated and compared to their caregivers (caregivers). The NIH Stroke Scale (NIHSS) and EuroQoL-5D (EQ-5D) scale were applied.
We evaluated 67 patients with stroke, 62 with CHF and 67 caregivers. For stroke patients, median NIHSS score was four. EQ-5D score was significantly worse in stroke, as compared to CHF and caregivers (0.52, 0.69 and 0.65, respectively). Mobility and usual activity domains were significantly affected in stroke and CHF patients as compared to caregivers; and self-care was more affected in stroke as compared with the other two groups.
Despite a mild neurological deficit, there was a significantly worse QOL perception in stroke as compared to CHF patients, mostly in their perception of self-care.
Stroke is one of the leading causes of death worldwide . Two-thirds of stroke cases occur in developing countries, where prevalence is increasing as the population ages . In Brazil, where stroke is the main cause of death, limited access to specialized stroke care and poor knowledge of risk factors and warning signs expose the population to a significant burden of disease . Stroke survivors also impose a significant burden to society and caregivers. Another disease with significant burden to society is congestive heart failure (CHF). In Brazil, cardiac diseases represent the second most frequent cause of death . While most heart diseases have experienced decreased morbidity and mortality over the past decades, CHF has remained stable and costs 46 billion dollars each year in the United States alone . However, quantification of the impact of these diseases on other aspects of health care and morbidity in developing countries is lacking, such as functional outcome, activities of daily living and quality of life (QOL).
Several scales have been used to measure the impact of stroke and other diseases, most of which identify the perception of the health professional. Considerable emphasis has been given in recent years to the patient's perception of their own health process . A significant proportion of patients considered independent by health professions have a significant impairment in QOL . For example, patients with independent mobility may score well on a functional scale but have significant impairment in QOL due to unemployment or fear of disease worsening or recurrence.
In the present study, our objectives were: to measure QOL in patients with stroke, as compared to patients with CHF and caregivers (caregivers) and to correlate QOL with other known measures of stroke severity, such as the NIH Stroke Scale (NIHSS) and the modified Barthel Index (mBI).
The study is a case series with three comparison groups (stroke, CHF and caregivers). Since age has a significant impact on QOL, the three groups were paired for age (aged within 5 years of the stroke group). Patients were selected between July, 2005 and November, 2007 from two subspecialty outpatient clinics (stroke and cardiomyopathy) from a university-based hospital in Salvador, Brazil. Stroke was defined by the presence of a focal neurological deficit of acute onset lasting over 24 hours, confirmed by neuroimaging (computed tomography of magnetic resonance imaging) and was established by the attending neurologist from the stroke clinic . The diagnosis of CHF was based on signs and symptoms of low cardiac output and was established by the attending cardiologist from the cardiomyopathy clinic. In both populations, we excluded patients with osteo-articular causes of functional impairment. Caregivers were selected from both outpatient clinics. A standardized questionnaire was given to the caregiver population to exclude the following disease states: hypertension, diabetes, coronary heart disease, Chagas disease, depression, cancer, migraine, adult immunodeficiency syndrome, respiratory and osteo-articular diseases. Exclusion of these diseases was based on each individual's self-report. Ethics committee of the participating institution (Federal University of Bahia) approved the study (protocol number 694/2004) and informed consent was obtained from all participants.
For all three groups, we collected socio-demographic data such as age, sex, educational level and work status. The mBI is a 50-point scale that was applied to quantify impairment in activities of daily living such as grooming, walking, transferring, hygiene and voiding (50 points meaning completely independent for all activities) . The NIHSS is a scale used to quantify stroke severity, scored 0 to 42 points for items such as motor and sensory deficits, ataxia and language (zero meaning lack of a measurable neurological deficit) and was applied by a medical student certified in applying the scale . For stroke patients we also collected data on cerebral hemisphere affected and time from stroke onset to study admission. All scales were applied on the same day.
The Euro-QoL - 5 dimensions (EQ-5D) scale was used for QOL assessment . The EQ-5D evaluates five QOL domains (mobility, pain, self-care, anxiety/depression and usual activities), each with one normal (no complaint) level and two increasingly abnormal levels [11, 12]. In order to derive a composite score, each domain was weighted using a modeling equation, with total scores varying from 0 (death) to 1 (perfect health). As a reference mark, a score above 0.86 is considered normal in populational studies and scores above 0.78 are normal for patients aged between 65 and 74 years . For the purpose of analysis, we compared total scores, weighted scores for each domain, and the proportion of patients with any complaint on each domain.
For statistical analysis we used the Statistical Package for the Social Sciences (SPSS) version 11.0. ANOVA test was used for comparing continuous variables between groups, with Scheffè's test for post-hoc comparisons. Categorical variables were compared using the Chi-square test for the three comparison groups, with the plan of further pairwise Chi-square testing in case of significance on the global test. Pearson's correlation coefficient was used for correlations between each scale. A P-value of < 0.05 was considered statistically significant.
From July, 2005 to November, 2007, 196 patients were evaluated, encompassing 67 patients with stroke, 62 with CHF and 67 caregivers. Table 1 shows the socio-demographic data, with study groups well-balanced for age and gender, but not for educational level, which was higher in the caregiver group when compared to the other groups (p < 0.001), but similar between the stroke and CHF patients. The proportion of patients without formal employment was high in all three groups (70-80%), reflecting the low socio-economical conditions of the population being studied. Most stroke patients suffered mild deficits as measured by the NIH Stroke Scale (median of four, range zero to 17). Mean (+/-SD) time from stroke onset to study recruitment was 28 +/- 36 months, median 12 months. No correlation was found between QOL and time since the stroke event (r = 0.018, P = 0.891).
Table 2 shows the results of QOL and functional profile evaluations. All three groups showed low QOL scores when compared to populational studies (expected score above 0.78). Stroke patients showed significantly lower EQ-5D scores when compared to caregivers (0.52 vs 0.65, p = 0.049) and CHF patients (0.52 vs 0.69, P = 0.010). The results remained significant when adjusting for educational level. In contrast, no difference was observed in overall EQ-5D scores between the CHF and caregiver groups. The same occurred in mBI evaluations, showing a greater impairment in activities of daily living of stroke patients when compared to caregivers (43.6 vs 50.0, P < 0.001) and with CHF patients (43.6 vs 49.8, P < 0.001), but not between CHF and caregiver groups.
Weighted score results for each EQ-5D domain are shown in Table 3. Patients with stroke scored worse in QOL domains of mobility, self-care and usual activities when compared with CHF patients and the caregiver group (P < 0.001 for all comparisons, remaining significant after adjustment for educational level). CHF patients scored worse in domains of mobility and usual activities (P < 0.01 for all comparisons) but not in their perception of self-care. For the domains of pain and anxiety/depression there was no significant difference identified between the three groups. Similar results were observed when analyzing the proportion of patients with any complaint in each domain (Figure 1).
The total EQ-5D score showed significant correlation with both mBI (r = 0.38, p < 0.001) and NIH Stroke Scale (r = -0.404, p = 0.001). No significant correlations were observed between total EQ-5D score and age or time from stroke onset. In patients with stroke, we observed a significantly worse deficit in right-hemisphere affected patients as compared with left-hemisphere: median NIH Stroke Scale score of six vs. three, p = 0.031; mean (+/-SD) mBI of 39+/-9 vs. 45+/-5, p = 0.041. Quality of life was slightly worse in right-hemisphere patients, but did not reach statistical significance (0.41+/-0.36 vs 0.59+/-0.36, p = 0.102).
In the present study, we demonstrated that stroke carries a significant impact in patient's perception of QOL. In other studies, EQ-5D scores were significantly lower (0.69 to 0.73) than caregivers, but higher than our stroke population (0.52)[14, 15]. Stroke also carried a greater impact on QOL when compared to both CHF and caregiver groups. To our knowledge, only one other study compared different chronic diseases using the EQ-5D and showed that chronic cardiopathies carry a similar reduction in QOL as stroke and other chronic diseases, when compared to the general population . However, the two studies differ considerably in regards to the population evaluated: in our study, the low educational level and high unemployment rate may have increased the impact of each disease in each individual's QOL. Comparing different chronic diseases in respect to their impact on QOL is relevant to health care organizations, both governmental and non-governmental, in regards to planning resource utilization.
When compared to the caregiver group, several QOL domains were affected in stroke patients. In previous studies, the domains most frequently affected were mobility, usual activities and self-care [17, 18]. Most (> 50%) stroke patients in our study showed complaints in these same domains. Conversely, the CHF group demonstrated significant complaints in mobility and usual activities but no significant impact in self-care perception. Similarly, one previous study showed that CHF has an important impact on the ability of patients to perform their usual activities, with 76% of patients reporting problems in this dimension . This indicated that patients felt that their disease made their recreational pastimes, sports or hobbies difficult, but fewer patients (24%) reported problems washing or dressing themselves .
This finding indicates that CHF patients still possess a feeling of independence despite significant impairment in daily activities. This contrasts to stroke patients, who despite a mild deficit (median NIHSS of four) still suffered a significant sense of dependence on caregivers. This differential impact of each disease in QOL domains is important, because health rehabilitation strategies should be tailored to each specific disease, such as including psychological support and occupational therapy for stroke patients to increase their sense of independence.
In regards to the anxiety/depression domain, previous studies show depression to be present in 30 to 40% of stroke patients [14, 19–21], interfering with recovery, return to work and adherence to therapy. In one study, depression was the single most important determinant of QOL after in survivors up to one year after stroke onset . In another study, depression was the most important determinant of motor deterioration in the second year after stroke onset . Thus, it is not surprising in our study to find a high (almost 50%) prevalence of anxiety/depression complaints in stroke patients. However, the caregiver population also suffered a similar rate of complaints in this domain. This finding may be due to our caregiver population, composed of caregivers of stroke and CHF patients, who also suffer frequently of anxiety and depression [24–26].
Pain is a frequent complaint after stroke and has been shown to be significantly associated with a reduction in QOL . However, in one study pain was found frequently (42%) but did not significantly affect QOL . Similarly, our study shows pain as a frequent complaint in stroke patients, but not significantly different when compared to the caregiver or CHF groups.
Both stroke severity (measured by the NIHSS) and its impact on activities of daily living (measured by the mBI) correlated strongly with QOL. This finding was expected and was present despite a mild overall deficit measured by the NIHSS. Previous studies have also documented such a relationship [29, 30]. Similar to our findings, others have documented significant reductions in QOL despite functional independence as measured in other scales [28, 31], a fact that stresses the importance of measuring QOL as an outcome in stroke studies.
The impact of stroke on individuals' quality of life is significantly greater in comparison to patients with congestive heart failure and caregivers. Patients with stroke, despite minor deficits, suffer from significant reduction of self-care perception.
WHO: The world health report. Geneva; 1998.
Saposnik G, Del Brutto OH: Stroke in South America: A sistematic review of incidence, prevalence and stroke subtypes. Stroke 2003, 34: 2103–2108. 10.1161/01.STR.0000088063.74250.DB
Pontes-Neto OM, Silva GS, Feitosa MR, de Figueiredo NL, Fiorot JA Jr, Rocha TN, Massaro AR, Leite JP: Stroke awareness in Brazil: Alarming results in a community-based study. Stroke 2008, 39: 292–296. 10.1161/STROKEAHA.107.493908
Souza MFM, Alencar AP, Malta DC, Moura L, Mansur AP: Serial Temporal Analysis of Ischemic Heart Disease and Stroke Death Risk in 5 Regions of Brazil from 1981 to 2001. Arq Bras Cardiol 2006,87(6):672–677.
Gheorghiade M, Zannad F, Sopko G, Klein L, Piña IL, Konstam MA, Massie BM, Roland E, Targum S, Collins SP, Filippatos G, Tavazzi L: Acute heart failure syndromes: Current state and framework for future research. Circulation 2005, 112: 3958–3968. 10.1161/CIRCULATIONAHA.105.590091
Patel MD, McKevitt C, Lawrence E, Rudd AG, Wolfe CDA: Clinical determinants of long-term quality of life after stroke. Age and Ageing 2007, 36: 316–322. 10.1093/ageing/afm014
Lai S, Studenski S, Duncan PW, Perera S: Persisting consequences of stroke measured by the stroke impact scale. Stroke 2002, 33: 1840–1844. 10.1161/01.STR.0000019289.15440.F2
Special report from the National Institute of Neurological Disorders and Stroke: Classification of cerebrovascular diseases III. Stroke 1990, 21: 637–676.
Shah S, Vanclay F, Cooper B: Improving the sensitivity of the Barthel Index for stroke rehabilitation. Journal of Clinical Epidemiology 1989, 42: 703–709. 10.1016/0895-4356(89)90065-6
Cincura C, Pontes-Neto OM, Neville IS, Mendes HF, Menezes DF, Mariano DC, Pereira IF, Teixeira LA, Jesus PA, de Queiroz DC, Pereira DF, Pinto E, Leite JP, Lopes AA, Oliveira-Filho J: Validation of the National Institutes of Health Stroke Scale, Modified Rankin Scale and Barthel Index in Brazil: the role of cultural adaptation and structured interviewing. Cerebrovascular Dis 2009, 27: 119–122. 10.1159/000177918
Dorman PJ, Waddell F, Slattery J, Dennis M, Sandercook P: Is the Euro-QoL a valid measure of health-related quality of life after stroke. Stroke 1997, 28: 1876–1882. 10.1161/01.STR.28.10.1876
Kopec JA, Willison KD: A comparative review of four preference-weighted measures of health-related quality of life. Journal of Clinical Epidemiology 2003, 56: 317–325. 10.1016/S0895-4356(02)00609-1
Kind P, Dolan P, Gudex C, Williams A: Variations in population health status: Results from a United Kingdom national questionnaire survey. BMJ 1998, 316: 736–741.
Haacke C, Althaus A, Spottke A, Siebert U, Back T, Dodel R: Long-term outcome after stroke: Evaluating health-related quality of life using utility measurements. Stroke 2006, 37: 193–198.
Xie J, Wu EQ, Zheng ZJ, Croft JB, Greenlund KJ, Mensah GA, Labarthe DR: Impact of stroke on health-related quality of life in the non-institutionalized population in the United States. Stroke 2006, 37: 2567–2572. 10.1161/01.STR.0000240506.34616.10
Calvert MJ, Freemantle N, Cleland JGF: The impact of heart failure on health-related quality of life data acquired in the baseline phase of the CARE-HF study. European Journal of Heart Failure 2005, 7: 243–251. 10.1016/j.ejheart.2005.01.012
Pickard AS, Johnson JA, Feeny DH, Shuaib A, Carriere KC, Nasser AM: Agreement betwen patient and proxy assessment of health-related quality of life after stroke using the EQ-5D and health utilities index. Stroke 2004, 35: 607–612. 10.1161/01.STR.0000110984.91157.BD
Sulch D, Melbourn A, Perez I, Kalra L: Integrated care pathways and qualitivy of life on a stroke rehabilitation unit. Stroke 2002, 33: 1600–1604. 10.1161/01.STR.0000017144.04043.87
Suenkeler IH, Nowak M, Misselwitz B, Kugler C, Schreiber W, Oertel WH, Back T: Timecourse of health-related quality of life as determined 3, 6 and 12 months after stroke: Relationship to neurological deficit, disability and depression. J Neurol 2002, 249: 1160–1167. 10.1007/s00415-002-0792-3
Kong K, Yang SY: Health-related quality of life among chronic stroke survivors attending a rehabilitation clinic. Singapore Med J 2006, 47: 213.
Hackett M, Anderson CS: Predictors of depression after stroke: A systematic review of observational studies. Stroke 2005, 36: 2296–2301. 10.1161/01.STR.0000183622.75135.a4
Kauhanen M, Koperlainen JT, Hiltenen P, Nieminen P, Sotaniemi KA, Myllyla VV: Domains and determinants of quality of life after stroke caused by brain infarction. Arch Phys Med Rehabil 2000, 81: 1541–1546. 10.1053/apmr.2000.9391
van Wijk I, Algra A, van de Port IG, Bevaart B, Lindeman E: Change in mobility activity in the second year after stroke in a rehabilitation population: Who is at risk for decline? Arch Phys Med Rehabil 2006, 87: 45–49.
Berg A, Palomaki H, Lonnqvist J, Lehtihalmes M, Kaste M: Depression among caregivers of stroke survivors. Stroke 2005, 36: 639–643. 10.1161/01.STR.0000155690.04697.c0
Jonsson AC, Lindgren I, Hallstrom B, Norrving B, Lindgren A: Determinants of quality of life in stroke survivors and their informal caregivers. Stroke 2005, 36: 803–808. 10.1161/01.STR.0000160873.32791.20
Wilz G, Kalytta T: Anxiety symptoms in spouses of stroke patients. Cerebrovasc Dis 2008, 25: 311–315. 10.1159/000118375
Bergés IB, Ottenbacher KJ, Kuo Y, Smith P, Smith D, Ostir GV: Satisfaction with quality of life poststroke: Effect of sex differences in pain response. Arch Phys Med Rehabil 2007, 88: 413–417. 10.1016/j.apmr.2006.12.022
Kong KH, Woon VC, Yang SY: Prevalence of chronic pain and its impact on health-related quality of life in stroke survivors. Arch Phys Med Rehabil 2004, 85: 35–40. 10.1016/S0003-9993(03)00369-1
Paolucci S, Antonucci G, Grasso MG, Bragoni M, Coiro P, De Angelis D, Fusco FR, Morelli D, Venturiero V, Troisi E, Pratesi L: Funtional outcome of ischemic and hemorrhagic stroke patients after inpatient rehabilitation: A matched comparison. Stroke 2003, 34: 2861–2865. 10.1161/01.STR.0000102902.39759.D3
Sturm JW, Donnan GA, Dewey HM, Macdonell RA, Gilligan AK, Srikanth V, Thrift AG: Quality of life after stroke: The North East Melborne Incidence Study (NEMESIS). Stroke 2004, 35: 2340–2345. 10.1161/01.STR.0000141977.18520.3b
Fischer U, Anca D, Arnold M, Nedeltchev K, Kappeler L, Ballinari P, Schroth G, Mattle HP: Quality of life in stroke survivors after local intra-arterial thrombolysis. Cerebrovascular Diseases 2008, 25: 438–444. 10.1159/000126917
CC, ISN, DFM and JOF are supported from grants from the Brazilian National Research Committee (CNPq).
The authors declare that they have no competing interests.
EBP conceived and carried out the study, and participated in the data analysis, drafting. IM participated in the acquisition of data for EQ-5D and mBI, and database management. JLBP participated in the acquisition of data for NIHSS and mBI, and database management. TGF, JCS, DFM, CC, ISN participated in the acquisition of data for NIHSS and mBI. PAPJ participated in the acquisition of data for NIHSS and stroke case definitions. JOF conceived and coordinated the study, participated in its design, stroke case definitions and statistical analysis. All authors read and approved the final manuscript.