Assessment of cognitive function in elderly patients with heart failureSUMMARY
OBJECTIVE: To compare the Mini-Mental State Examination (MMSE) and Montreal Cognitive Assessment (MoCA) tests for the identification of cognitive deficit (CD) in elderly patients with heart failure (HF).
METHODS: This was a cross-sectional study with an observational design involving 43 elderly patients with HF of both sexes, treated by the Unified Health System, who were able to understand and follow the study instructions. A sociodemographic and clinical questionnaire and the MMSE and MoCA neurocognitive tests were applied.
RESULTS: The mean age of the patients was 67 years; 67.44% were male; 53.49% were white; 58.14% had 1–4 years of schooling; 58.14% had an income of half to one minimum wage; 55.81% were married; 53.49% had a family history of HF; 90.7% denied smoking; 83.72% denied alcohol intake; 65.12% did not practice physical activity; 83.72% were hypertensive; 30.23% were diabetic; 57.89% had LVEF ≥ 50%; 39.53% have NYHA II; and 88.37% did not have a pacemaker. In the identification of CD, the MMSE test detected it in 25.58% of the patients, while the MoCA test identified it in 23.26% (p=0.043).
CONCLUSION: It was concluded that the MMSE test performed better than the MoCA test in the identification of CD in elderly patients with HF.
KEYWORDS: Cognition; Neuropsychological tests; Heart failure
INTRODUCTION
Heart failure (HF) is a complex clinical syndrome resulting from structural or functional problems affecting ventricular filling or blood ejection. This condition compromises the heart's ability to supply sufficient oxygen to tissues to meet their metabolic needs1,2.
Although likely underestimated, the prevalence of HF is estimated to be between 1 and 2% of the general adult population. It affects 6.5 million Brazilians and 5.7 million Americans. According to estimates, the prevalence of HF will increase by 46% between 2012 and 2030, resulting in over 8 million people with HF in Brazil, mainly due to population aging1.
Studies have demonstrated common triggers between cardiovascular diseases and dementia, such as inflammation, oxidative stress, oxygen deprivation, and adrenergic signaling3,4. Maintaining normal brain function requires a constant supply of metabolites, which depends on proper heart function. As a systemic disease, HF can damage other organs, including the brain5.
Neuropsychological tests are frequently used to detect brain dysfunction, such as cognitive deficit (CD), and evaluate performance in different cognitive areas, including learning and memory, language, visuospatial abilities, executive function, and psychomotor function. CD is defined as the decline or loss of at least one of these five domains6.
Currently, there are no well-defined guidelines for cognitive screening, and standardized cognitive screening tests can determine the prevalence of CD in older adults with HF. Early detection of cognitive changes allows for rapid intervention through multidisciplinary follow-up, preventing the progression of functional impairment in the HF population.
Therefore, this study aims to compare the Mini-Mental State Examination (MMSE) and Montreal Cognitive Assessment (MoCA) tests for identifying CD in older adults with HF.
METHODS
This is a cross-sectional study with an observational design, conducted with 43 elderly patients with HF, seen at the Cardiology Outpatient Clinic of the University Hospital of the Federal University of Maranhão (HUUFMA), in the city of São Luís, MA. The research was carried out between February and December 2022 and was previously approved by the HUUFMA Ethics and Research Committee (Opinion No.: 3.902.939/CAAE: 24168819.2.0000.5086).
Patients with HF of both sexes who were 60 years of age or older, NYHA functional classes I to IV, able to comprehend and adhere to the study's instructions, and who consented to participate by signing the Informed Consent Form (TCLE) were included. The European Society of Cardiology's (2021) guidelines were taken into consideration for diagnosing heart failure (HF).
Patients with chronic atrial fibrillation; acute decompensation of HF, with a clear history of central nervous system injury, such as trauma, tumor, infection, carbon monoxide poisoning, and demyelinating disorders; alcohol abuse (as measured by the CAGE questionnaire); use of drugs or psychoactive substances (as measured by the ASSIST instrument) that can demonstrably cause changes in the nervous system and cognition; and disorders related to hearing, reading, language expression, or writing were excluded.
The following sociodemographic data were collected: age, sex, race, income, education, marital status, and clinical data such as family history of HF, ejection fraction (EF), functional classification (NYHA), and the presence of comorbidities such as hypertension and diabetes, history of smoking, alcohol consumption, and physical activity practice.
A neuropsychological assessment was also performed by a psychologist to identify CD. The MMSE test was initially applied; it has strong reliability and internal consistency, and its use is validated and recommended in Brazil, which enables a rapid assessment of cognitive functions by examining both verbal and non-verbal forms of responses.
The MMSE score ranges from 0 to 30, with higher scores indicating better cognitive performance. The test results in this study were adjusted according to the individual's education level, as described by Brucki et al7, applying the following cut-off criteria: 20 points for illiterate patients; 25 points for those with 1–4 years of study; 26.5 points for 5–8 years; 28 points for 9–11 years; and 29 points for more than 11 years.
In addition, the MoCA test, validated for the Portuguese language, was used. A point is added to the maximum total possible score of 30 points if the individual has less than 12 years of education. In this study, the following cut-off scores were considered for the detection of CD: illiterate, score ≤ 11; 1–4 years of schooling, score ≤ 17; 5–8 years of schooling, score ≤ 19; 9–11 years of schooling, score ≤ 19; and ≥ 12 years of schooling, score ≤ 218.
Microsoft Office Excel (version 365) was used to tabulate the data, and R Studio (R Core Team, 2021®) was used for statistical analysis. The normality of the continuous variables was initially examined using the Shapiro-Wilk test. The description of the continuous data was given by medians and interquartile ranges (IIQ), while the categorical variables were described in simple frequencies (n) and percentages (%). The relationship between categorical variables was established using Fisher's exact test. Subsequently, the Spearman Correlation test was performed to evaluate the existence of proportionality between the continuous variables that were being studied. Statistical significance was set at p<0.05.
RESULTS
The sociodemographic and clinical data of 43 elderly patients with HF were analyzed. The mean age was 67 years, 67.44% were male, the white race was predominant (53.49%); 58.14% had 1–4 years of education; 58.14% had an income of half to one minimum wage; 55.81% were married; 53.49% had a family history of HF; 90.7% were non-smokers; 83.72% did not drink alcoholic beverages; 65.12% did not practice physical activity; 83.72% were hypertensive; and 30.23% were diabetic. Regarding clinical data, 57.89% had EF ≥ 50%; 39.53% NYHA II, and 88.37% did not have a pacemaker (Table 1).
Sociodemographic characteristics and clinical data of elderly patients with heart failure in São Luís, MA, Brazil, 2022.
In a comparative analysis of the applied tests, considering the cut-off points for the screening of CD (based on educational level), it was observed that MoCA identified CD in 23.26% of the sample and MMSE identified CD in 25.58% of the sample.
Regarding the distinction between patients with and without CD, there was a statistically significant difference between the two tests (Table 2).
Comparison between Mini-Mental State Examination and Montreal Cognitive Assessment tests in the identification of cognitive deficit in elderly patients with heart failure in São Luís, MA, Brazil, 2022.
There was a strong correlation between the neurocognitive test scores in identifying CD in the analyzed patients (p<0.001), as described in Table 3.
Correlation between the scores of the applied tests in elderly patients with heart failure in São Luís, MA, Brazil, 2022.
DISCUSSION
In line with the current study's findings, an analysis of 545 medical records of patients with heart failure (HF) receiving treatment from the Unified Health System (SUS) showed that 55.6% were male, 76.7% had hypertension, and 37.2% had diabetes9. According to the National Health Survey (2019), low education and income between half and one minimum wage are consistent with the sociodemographic profile of SUS care10.
It was observed that 57.89% of the sample had EF ≥ 50%, classifying the patients as heart failure with preserved ejection fraction (HFpEF). Additionally, mild symptoms (NYHA II) were assigned to 17 patients (39.53%).
The diagnosis of systemic arterial hypertension (SAH) was found in 83.72% of the sample, confirming the significance of this condition for the development of HF, in addition to family history also being relevant for this. SAH is one of the primary causes of HF in Brazil11. Hypertension acts in the pathophysiology of cognitive impairment through neurodegeneration12. Thus, there is an association between SAH, HF, and cognitive decline.
Table 2 indicates that there was a statistically significant difference between the tests that were used, which has been observed in other studies including patients with SAH, cerebrovascular disease13, and HF14. In the comparison between the tests applied in patients with HF, the MMSE obtained a higher prevalence of cognitive decline (25.58%) compared to the MoCA (23.26%), with a statistically significant difference.
In a study that evaluated both tests in 106 patients diagnosed with HF and with a mean age of 68 years, it was observed that the MMSE detected cognitive decline in 68% while the MoCA test in 65% of the sample15. Although the prevalence of cognitive deterioration identified in the present study is lower than that predicted in the literature, these results support the findings of the present study, which similarly focused primarily on patients with HF.
A systematic review16 showed that in the vast majority of articles analyzed, the MoCA was superior to the MMSE in detecting individuals with mild cognitive impairment (MCI), but both were similar in detecting Alzheimer's disease. In a different study, 93 hospitalized patients with HF and a mean age of 70 years were studied. It was observed that the MoCA identified MCI in 41% more cases than the MMSE, indicating that the changes in the visuospatial dimension of the MoCA were clinically more significant than those found in a similar task in the MMSE14.
In a cross-sectional analysis of the Chinese population>55 years of age, the MoCA performed better than the MMSE, particularly in the identification of MCI, with 36.2% versus 28.6% of the sample17. However, in this sample, only 31.8 and 1.9% reported a history of hypertension and acute myocardial infarction, respectively, which are among the leading causes of HF in the world11. In the present study, 83.72% of the individuals had a history of hypertension, which may perhaps justify the discordant findings between the two studies.
Another factor for the MMSE's better performance in detecting cognitive decline may be linked to the low educational level of the sample in the present study (50.14%). In turn, the MoCA has a greater sensitivity in identifying cognitive decline in patients with higher educational levels18, thus justifying the results obtained.
This study had some limitations, such as the lack of sample size calculation, with the sample being obtained by convenience according to the cases seen at the outpatient clinic. Another factor is the predominance of low educational level among the patients evaluated, which could have affected the diagnosis of MCI because education is a variable that significantly affects both tests.
CONCLUSION
The MMSE test performed better in detecting cognitive decline (CD) in elderly patients with heart failure (HF) compared to the MoCA test, possibly due to the low educational level of the sample analyzed. The application of neurocognitive screening tests is essential for the early identification of CD in patients with HF, aiming to provide appropriate treatment for patients.
REFERENCES
-
1 Kurogi EM, Butcher RCGES, Salvetti MG. Relationship between functional capacity, performance and symptoms in hospitalized patients with heart failure. Rev Bras Enferm. 2020;73(4):e20190123. https://doi.org/10.1590/0034-7167-2019-0123
» https://doi.org/10.1590/0034-7167-2019-0123 -
2 Hanauer M, Hanauer M, Thofehrn SA, Saute AAQB, Kruger AR, Danzmann LC, et al. Associação entre classes funcionais da insuficiência cardíaca com fração de ejeção preservada e comprometimento cognitivo. Rev Bras Neurol. 2021;57(3):11-5. https://doi.org/10.46979/rbn.v57i3.47219
» https://doi.org/10.46979/rbn.v57i3.47219 -
3 Babayiğit E, Murat S, Mert KU, Çavuşoğlu Y. Assesment of cerebral blood flow velocities with transcranial Doppler ultrasonography in heart failure patients with reduced ejection fraction. J Stroke Cerebrovasc Dis. 2021;30(5):105706. https://doi.org/10.1016/j.jstrokecerebrovasdis.2021.105706
» https://doi.org/10.1016/j.jstrokecerebrovasdis.2021.105706 -
4 Dridi H, Liu Y, Reiken S, Liu X, Argyrousi EK, Yuan Q, et al. Heart failure-induced cognitive dysfunction is mediated by intracellular Ca2+ leak through ryanodine receptor type 2. Nat Neurosci. 2023;26(8):1365-78. https://doi.org/10.1038/s41593-023-01377-6
» https://doi.org/10.1038/s41593-023-01377-6 -
5 Wang M, Xu B, Hou X, Shi Q, Zhao H, Gui Q, et al. Altered brain networks and connections in chronic heart failure patients complicated with cognitive impairment. Front Aging Neurosci. 2023;15:1153496. https://doi.org/10.3389/fnagi.2023.1153496
» https://doi.org/10.3389/fnagi.2023.1153496 -
6 Liori S, Arfaras-Melainis A, Bistola V, Polyzogopoulou E, Parissis J. Cognitive impairment in heart failure: clinical implications, tools of assessment, and therapeutic considerations. Heart Fail Rev. 2022;27(4):993-9. https://doi.org/10.1007/s10741-021-10118-5
» https://doi.org/10.1007/s10741-021-10118-5 -
7 Brucki SM, Nitrini R, Caramelli P, Bertolucci PH, Okamoto IH. Suggestions for utilization of the Mini-Mental State Examination in Brazil. Arq Neuropsiquiatr. 2003;61(3B):777-81. https://doi.org/10.1590/s0004-282x2003000500014
» https://doi.org/10.1590/s0004-282x2003000500014 -
8 Cesar KG, Yassuda MS, Porto FHG, Brucki SMD, Nitrini R. MoCA test: normative and diagnostic accuracy data for seniors with heterogeneous educational levels in Brazil. Arq Neuropsiquiatr. 2019;77(11):775-81. https://doi.org/10.1590/0004-282X20190130
» https://doi.org/10.1590/0004-282X20190130 -
9 Guimarães AJBA, Borges MEL, Sousa LM, Souza TAC. Study of the clinical and epidemiological profile of heart failure: estudo do perfil clínico e epidemiológico da insuficiência cardíaca. Concilium. 2023;23(19):173-87. https://doi.org/10.53660/CLM-2093-23P33
» https://doi.org/10.53660/CLM-2093-23P33 -
10 Instituto Brasileiro de Geografia e Estatística (IBGE). Pesquisa Nacional de Saúde, 2019: informações sobre domicílios, acesso e utilização dos serviços de saúde Brasil, Grandes Regiões e Unidades da Federação. 2019. Available from: https://biblioteca.ibge.gov.br/visualizacao/livros/liv101748.pdf
» https://biblioteca.ibge.gov.br/visualizacao/livros/liv101748.pdf -
11 Rohde LEP, Montera MW, Bocchi EA, Clausell NO, Albuquerque DC, et al. Diretriz Brasileira de insuficiência cardíaca crônica e aguda. Arq Bras Cardiol. 2018;111(3):436-539. https://doi.org/10.5935/abc.20180190
» https://doi.org/10.5935/abc.20180190 -
12 Mene-Afejuku TO, Pernia M, Ibebuogu UN, Chaudhari S, Mushiyev S, Visco F, et al. Heart failure and cognitive impairment: clinical relevance and therapeutic considerations. Curr Cardiol Rev. 2019;15(4):291-303. https://doi.org/10.2174/1573403X15666190313112841
» https://doi.org/10.2174/1573403X15666190313112841 -
13 Rivasi G, D'Andria MF, Bulgaresi M, Sgrilli F, Casini G, Falzone D, et al. Screening for cognitive impairment in older adults with hypertension: the HYPER-COG study. J Hum Hypertens. 2023;37(11):1000-6. https://doi.org/10.1038/s41371-023-00817-x
» https://doi.org/10.1038/s41371-023-00817-x -
14 Cameron J, Worrall-Carter L, Page K, Stewart S, Ski CF. Screening for mild cognitive impairment in patients with heart failure: Montreal Cognitive Assessment versus mini mental state exam. Eur J Cardiovasc Nurs. 2013;12(3):252-60. https://doi.org/10.1177/1474515111435606
» https://doi.org/10.1177/1474515111435606 -
15 Hawkins MA, Gathright EC, Gunstad J, Dolansky MA, Redle JD, Josephson R, et al. The MoCA and MMSE as screeners for cognitive impairment in a heart failure population: a study with comprehensive neuropsychological testing. Heart Lung. 2014;43(5):462-8. https://doi.org/10.1016/j.hrtlng.2014.05.011
» https://doi.org/10.1016/j.hrtlng.2014.05.011 -
16 Pinto TCC, Machado L, Bulgacov TM, Rodrigues-Júnior AL, Costa MLG, Ximenes RCC, et al. Is the Montreal Cognitive Assessment (MoCA) screening superior to the Mini-Mental State Examination (MMSE) in the detection of mild cognitive impairment (MCI) and Alzheimer's Disease (AD) in the elderly? Int Psychogeriatr. 2019;31(4):491-504. https://doi.org/10.1017/S1041610218001370
» https://doi.org/10.1017/S1041610218001370 -
17 Jia X, Wang Z, Huang F, Su C, Du W, Jiang H, et al. A comparison of the Mini-Mental State Examination (MMSE) with the Montreal Cognitive Assessment (MoCA) for mild cognitive impairment screening in Chinese middle-aged and older population: a cross-sectional study. BMC Psychiatry. 2021;21(1):485. https://doi.org/10.1186/s12888-021-03495-6
» https://doi.org/10.1186/s12888-021-03495-6 - 18 Smid J, Studart-Neto A, César-Freitas KG, Dourado MCN, Kochhann R, Barbosa BJAP, et al. Declínio cognitivo subjetivo, comprometimento cognitivo leve e demência - diagnóstico sindrômico: recomendações do Departamento Científico de Neurologia Cognitiva e do Envelhecimento da Academia Brasileira de Neurologia. Dement Neuropsychol. 2022;16(3):1-24.
Publication Dates
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Publication in this collection
16 Aug 2024 -
Date of issue
2024
History
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Received
03 Apr 2024 -
Accepted
04 June 2024
