Association between environmental factors and emergency hospital admissions due to Alzheimer's disease in Madrid
Graphical abstract
Introduction
Alzheimer's disease (AD) is not only the most common cause of dementia among older adults, but is also a disease which is becoming increasingly important, in that a new case of dementia is identified every 4 s in the world and the number of cases of dementia doubles every 20 years (WHO, 2012). Indeed, AD is the leading dementia in the USA and was ranked as the fifth leading cause of death among older adults in 2010 (Murphy et al., 2013). It has been estimated that > 1.5 million persons are affected by AD in Spain, based on prevalence indices which show that around 7% of all persons over the age of 65 years are affected, a percentage that rises to 50% among the over-80 age group (Aulestia, 2016). Total expenditure (public and private) on dementias in Spain could be in the region of 8200 million euros or more, accounting for 10% of the entire health care budget for the country as a whole (Prieto et al., 2016).
The aetiology of AD is still under study. Development of AD has been attributed to a number of probable causes. From a genetic aetiology standpoint, the pre-existence of the apolipoprotein E (APOE)-ɛ4 allele is considered to be an important cause (Coon et al., 2007); on the other hand, many studies have confirmed the relationship between family history of AD and subsequent development of the disease (Van Djuin et al., 1991). Exposure to certain chemical agents via food has likewise been regarded as a cause of the disease (Calderon-Garciduenas et al., 2004). Thus, a diet which possibly includes the ingestion of some metals, e.g., aluminium in water, has been strongly linked to the aetiology of AD.
Exposure to prolonged environmental pollution has recently been proposed as a risk factor for AD in cities such as Mexico City (Calderón-Garcidueñas et al., 2015), in view of the fact that particulate matter (PM) present in the atmosphere and nanoparticles have been identified as risk factors for neurodegeneration and neuro-inflammation (Levesque et al., 2011a, Levesque et al., 2011b, Levesque et al., 2013). Similarly, exposure to different sizes and compositions of PM is associated with the production and deposit of aggregate clusters of proteins (amyloid, alpha-synuclein, tau hyperphosphorylation) that are linked to AD. It has been shown in animal models that PM can be transferred from the upper part of the respiratory tract to the brain, causing inflammation at a cerebral level, something that amounts to important anatomopathological evidence of dementia (Block and Calderon-Garciduenas, 2009, Calderon-Garciduenas et al., 2004). Some papers have implicated PM2.5 or finer particles as a cause of AD and other neurodegenerative diseases (Yegambaram et al., 2015). Moreover, an increase in AD-related amyloid β-40 and β-42 levels has been identified in rats exposed to air pollution models (Kim et al., 2012). Even so, some epidemiological studies have observed a higher prevalence of AD in rural than in urban settings (Shibayama et al., 1986, Jean et al., 1996), though this higher prevalence has not been statistically associated with the presence of pesticides (Gauthier et al., 2001). The controversy surrounding the influence of the environmental factor thus remains unresolved.
Aside from the above-described aetiological viewpoint of the relationship, recent studies have shown that certain environmental factors can be associated with hospital admissions due to neurological diseases, especially with large exposures to PM2.5 concentrations(Kioumourtzoglou et al., 2016), even at the short term (Zanobetti et al., 2014). These environmental factors may be capable of exacerbating the symptoms of persons who suffer from neurodegenerative diseases such as dementia (Linares et al., 2017) or Parkinson's disease (PD) (Linares et al., 2016a, Linares et al., 2016b), to the point where there is an increase in hospital admissions due to this cause.
Accordingly, the aim of this study was to use time series analysis to ascertain and analyse the existence of a short-term association between emergency hospital admissions due to AD and various environmental factors such as chemical air pollution and temperature, in the city of Madrid. From a public health stance, the relevant aspect resides in the fact that, in some cases, exposure to these environmental factors is modifiable and so emergency AD admissions could be reduced by limiting exposure to such factors.
Section snippets
Study population
The city of Madrid is a densely populated metropolitan area situated in the central region of Spain. In the period 2001–2009, it had a mean population of 3,116,897 and of this total, 754,005 persons (24.2%) were aged 60 years or over (INE, 2015).
Dependent variable
The dependent variable was the number of emergency AD hospital admissions (International Classification of Diseases 9th Revision (ICD-9): 331.0) registered at all hospitals in the city of Madrid across the period, 1 January 2001 to 31 December 2009. Data
Results
The descriptive statistics of the dependent and independent variables used in the study are shown in Table 1. During the period covered there were 1183 emergency admissions due to AD. In terms of environmental variables, the World Health Organisation (WHO) guideline values (WHO, 2006) for daily PM2.5 concentrations (25 μg/m3) were exceeded on 329 days (10.0%), while those for daily PM10 concentrations were exceeded on 446 days (13.6%) across the study period. Equally notable were the high NO2
Discussion
One of the principal results of our study is the statistically significant association found between PM2.5 concentrations and emergency AD hospital admissions. Although our study does not establish PM2.5 concentrations as an aetiological cause of AD, it does nevertheless indicate that a rise in these concentrations can have an influence on the increase in emergency hospital admissions due to this cause. No other study was found which showed a short-term association between environmental factors
Formatting of financing sources
This study was funded by: a Miguel Servet type 1 grant, SEPY 1037/14 (Cristina Linares Gil/Cristina Ortiz Burgos) and FIS Project ENPY 1133/16 (Julio Díaz Jiménez/Rocío Carmona Alférez) from the Carlos III Institute of Health. The financing source has had no effect on/has not conditioned the composition in no part of the present manuscript.
Conflicts of interest
The authors declare that there are no conflicts of interest.
Acknowledgements
To the neurologist Doctor Luis Gil for his contribution to the interpretation of the results.
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