Literature DB >> 32876138

Cognitive impairment: an (in)dependent risk factor for mortality in older men?

Júlia C Loureiro1, Marcos V Pais1, Orestes V Forlenza1.   

Abstract

Entities:  

Year:  2020        PMID: 32876138      PMCID: PMC7678900          DOI: 10.1590/1516-4446-2020-0017

Source DB:  PubMed          Journal:  Braz J Psychiatry        ISSN: 1516-4446            Impact factor:   2.697


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Awareness of the mortality risk of people diagnosed with mild cognitive impairment (MCI) has recently emerged, increasing scientific interest in the particularities of this neurocognitive syndrome.1-4 Mortality in MCI is studied far less than in dementia. Population-based studies have found lower mortality rates than those found in specialized clinics and research settings, which could be due to selection bias and different methods of characterizing impairment.2,5 Additionally, while published data on the association between cognitive decline and mortality from high-income countries is abundant, there is little data from low- and middle-income populations. The results of Campos et al.6 provide important detail that higher mortality is associated with cognitive impairment in community-dwelling older adults from a middle-income country. In this interesting and relevant study, a branch of the Bambuí Cohort Study of Aging,7 1,281 older adults from a small rural town in southeastern Brazil were followed for 13.3 years. The large sample size, the fact the investigators sought to include the entire older adult population of the study area, and the long observational time are clear strengths. The investigators managed to collect baseline data on cognitive and clinical parameters and explored the association between different severity levels of cognitive impairment and long-term mortality risk. A positive association was found between moderate cognitive decline, male gender, and higher mortality rates. The authors stratified the severity of cognitive impairment according to standard deviation patterns of Mini-Mental State Examination scores. Mild and moderate cognitive impairment were respectively defined by scores of -1.0 and -2.0 standard deviations below the cutoff means. The default procedure when ascertaining the severity of cognitive decline and establishing a dementia diagnosis must also rely on functionality parameters, such as performing activities of daily living. Although the authors did investigate functional impairment in abilities such as dressing, walking across a room, bathing/showering, eating, getting in/out of bed, and toilet use, this data was not specifically contemplated for discriminating between degrees of cognitive impairment. Nevertheless, moderately impaired participants, as defined by Mini-Mental State Examination scores, had a higher prevalence of functional disability (28.6%) than those with MCI (13.5%) or those who were unimpaired (8.8%) (p = 0.003). Another important methodological aspect was that cognition was only assessed upon enrollment using screening instruments. No longitudinal follow-up data on cognition and functional status was performed. MCI is a heterogeneous syndrome that could involve underlying neurodegenerative diseases,8 but may also be due to potentially reversible conditions, such as depression, vitamin deficiencies, or metabolic (e.g. thyroid) disorders. Although this limitation must be taken into account, previous populational studies have used similar methodologies to address long-term mortality risks in mild and moderate cognitive decline.4 Sub-categorizing MCI by its distinct endophenotypes (i.e., amnestic vs. non-amnestic, single- vs. multiple domain MCI) could provide important details about the association between mortality and specific underlying etiologies. In fact, one longitudinal study compared mortality rates from 1,292 healthy participants and 862 participants with MCI, which was stratified according to the number and type of affected cognitive domains.2 A higher overall mortality risk was found in the MCI group than healthy controls, as well as in the non-amnestic vs. amnestic MCI group. Male gender, lack of physical activity, and a history of heart disease (which suggests the importance of the vascular disease burden) were also associated with higher mortality risk. With respect to baseline socio-demographic features, the three cognitive impairment groups (none, mild, and moderate) were significantly different (p < 0.0001) concerning age and education. Participants with mild and moderate cognitive impairment were older, while the percentages of those with less than four years of education were 59.5%, 93.6%, and 95.2%, respectively, for subjects with no, mild, and moderate cognitive dysfunction. A number of clinical characteristics also deserve attention. There were statistically significant differences (p < 0.0001) among groups with no, mild, or moderate cognitive dysfunction regarding Trypanosoma cruzi infection (34.4, 54.8, and 76.2%, respectively) and depressive symptoms (34.9, 47.6, and 76.2%, respectively). T. cruzi infection is endemic to rural southeastern Brazil (where the study was conducted) and is a major cause of Chagas cardiomyopathy. Therefore, there is a likely association between T. cruzi infection and cognitive impairment, given the well-established association between congestive heart failure and cognitive impairment.9 In fact, previous studies from the same Bambuí cohort indicated that T. cruzi infection is associated with cognitive impairment in older adults.10 Therefore, mortality in cognitively impaired members (both MCI and dementia patients) of this cohort might represent an underlying effect of chronic heart disease, although there were no significant differences between the study groups regarding cardiovascular disease factors. Regarding late-life depression, however, there is profuse evidence in the literature indicating that depression in older adults is largely associated with cognitive impact and increased rates of deterioration and mortality.11 The authors recognized the above-mentioned disparities, and, after adjusting for socio-demographic, lifestyle and health parameters, the study’s main finding was that male patients with moderate cognitive decline have a higher mortality risk. This finding underscores the importance of MCI prevention, investigation and treatment when modifiable risk factors are identified. Moreover, the study highlights specific characteristics found in a rural Brazilian population of older adults. This could serve as as an encouragement for new future initiatives to determine the associations between cognitive status and long-term outcomes, such as mortality risks, in middle- and low-income countries.

Disclosure

The authors’ institution, Laboratório de Neurociências (LIM-27), is supported by research grants from the Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq; 429079/2018-4, 301629/2018-8), the Instituto Nacional de Biomarcadores em Neuropsiquiatria (INBioN), the Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP; 14/50873-3; 2016/01302-9), CNPq (465412/2014-9), and the Associação Beneficente Alzira Denise Hertzog da Silva (ABADHS). The authors report no conflicts of interest.
  11 in total

1.  Cohort profile: the Bambui (Brazil) Cohort Study of Ageing.

Authors:  Maria Fernanda Lima-Costa; Josélia O A Firmo; Elizabeth Uchoa
Journal:  Int J Epidemiol       Date:  2010-08-30       Impact factor: 7.196

2.  Mortality in Mild Cognitive Impairment Diagnosed with DSM-5 Criteria and with Petersen's Criteria: A 17-Year Follow-Up in a Community Study.

Authors:  Javier Santabárbara; Patricia Gracia-García; Guillermo Pírez; Raúl López-Antón; Concepcion De La Cámara; Tirso Ventura; Marina Pérez-Sastre; Elena Lobo; Pedro Saz; Guillermo Marcos; Antonio Lobo
Journal:  Am J Geriatr Psychiatry       Date:  2016-08-04       Impact factor: 4.105

3.  Incidence of mild cognitive impairment in the Pittsburgh Cardiovascular Health Study-Cognition Study.

Authors:  Oscar L Lopez; James T Becker; Yue-Fang Chang; Robert A Sweet; Steven T DeKosky; Michael H Gach; Owen T Carmichael; Eric McDade; Lewis H Kuller
Journal:  Neurology       Date:  2012-09-26       Impact factor: 9.910

4.  Mortality in mild cognitive impairment varies by subtype, sex, and lifestyle factors: the Mayo Clinic Study of Aging.

Authors:  Maria Vassilaki; Ruth H Cha; Jeremiah A Aakre; Terry M Therneau; Yonas E Geda; Michelle M Mielke; David S Knopman; Ronald C Petersen; Rosebud O Roberts
Journal:  J Alzheimers Dis       Date:  2015       Impact factor: 4.472

5.  Cognitive impairment: an independent predictor of excess mortality: a cohort study.

Authors:  Greg A Sachs; Ravan Carter; Laura R Holtz; Faye Smith; Timothy E Stump; Wanzhu Tu; Christopher M Callahan
Journal:  Ann Intern Med       Date:  2011-09-06       Impact factor: 25.391

Review 6.  Classification and epidemiology of MCI.

Authors:  Rosebud Roberts; David S Knopman
Journal:  Clin Geriatr Med       Date:  2013-11       Impact factor: 3.076

Review 7.  A review of the association between congestive heart failure and cognitive impairment.

Authors:  Michael B Cohen; Paul J Mather
Journal:  Am J Geriatr Cardiol       Date:  2007 May-Jun

8.  A population-based study of the association between Trypanosoma cruzi infection and cognitive impairment in old age (the Bambuí Study).

Authors:  M Fernanda Lima-Costa; Erico Castro-Costa; Elizabeth Uchôa; Joselia Firmo; Antonio Luiz P Ribeiro; Cleusa P Ferri; Martin Prince
Journal:  Neuroepidemiology       Date:  2008-12-16       Impact factor: 3.282

Review 9.  Comorbidity of late life depression: an opportunity for research on mechanisms and treatment.

Authors:  George S Alexopoulos; Kathleen Buckwalter; Jason Olin; Rick Martinez; Cynthia Wainscott; K Ranga R Krishnan
Journal:  Biol Psychiatry       Date:  2002-09-15       Impact factor: 13.382

10.  Mild and moderate cognitive impairment and mortality among Brazilian older adults in long-term follow-up: The Bambui Health Aging Study.

Authors:  Cecilia G Campos; Breno S Diniz; Josélia O Firmo; M Fernanda Lima-Costa; Sergio L Blay; Erico Castro-Costa
Journal:  Braz J Psychiatry       Date:  2020-06-01       Impact factor: 2.697

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