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Delirium in nursing home residents: is there a role of antidepressants? A cross sectional study

BMC Geriatrics volume 24, Article number: 767 (2024) Cite this article

Abstract

Background

Delirium is strongly associated with poor health outcomes, yet it is frequently underdiagnosed. Limited research on delirium has been conducted in Nursing Homes (NHs). Our aim is to assess delirium prevalence and its associated factors, in particular pharmacological prescription, in this care setting.

Methods

Data from the Italian “Delirium Day” 2016 Edition, a national multicenter point-prevalence study on patients aged 65 and older were analyzed to examine the associations between the prevalence of delirium and its subtypes with demographics and information about medical history and pharmacological treatment. Delirium was assessed using the Assessment test for delirium and cognitive impairment (4AT). Motor subtype was evaluated using the Delirium Motor Subtype Scale (DMSS).

Results

955 residents, from 32 Italian NHs with a mean age of 84.72 ± 7.78 years were included. According to the 4AT, delirium was present in 260 (27.2%) NHs residents, mainly hyperactive (35.4%) or mixed subtypes (20.7%). Antidepressant treatment with selective serotonin reuptake inhibitors (SSRIs) was associated with lower delirium prevalence in univariate and multivariate analyses.

Conclusions

The high prevalence of delirium in NHs highlights the need to systematically assess its occurrence in this care settings. The inverse association between SSRIs and delirium might imply a possible preventive role of this class of therapeutic agents against delirium in NHs, yet further studies are warranted to ascertain any causal relationship between SSRIs intake and reduced delirium incidence.

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Background

Delirium is a geriatric syndrome characterized by inattention and cognitive abnormalities. It has typically a sudden onset, fluctuating course and a multifactorial etiology [1]. The pathophysiology of delirium is complex and still not completely clarified, involving a predisposing cerebral vulnerability and various precipitating factors. Brain resilience is mainly lowered by neuronal loss, damaged microvasculature, decline in the normal antioxidant defense mechanisms, decreased number of acetylcholine producing neurons and abnormal microglial responsiveness to inflammatory stimuli [2]. In this context, stressful events can trigger several pathophysiological phenomena, such as oxygen or glucose deficiencies, neuroinflammation, damage of blood-brain barrier and/or neurotransmitter imbalance. Whatever the primary etiology, it is hypothesized that impaired neuronal network connectivity may be the ultimate event in delirium [3].

Due to the presence of multiple risk factors such as advanced age, low education, high prevalence of dementia, functional dependence, and malnutrition, Nursing Homes (NHs) residents are at high risk of developing delirium. Nevertheless, only few studies on this topic have been done in NHs, with heterogeneous results using different delirium assessment tools, reporting a prevalence ranging from 1.4 to 70.3% [4,5,6,7]. In our previous multicenter point-prevalence study, involving numerous hospital departments, long-term care facilities, and NHs throughout Italy, we observed a 36.8% prevalence of delirium in 1,454 older NHs residents [8]. Delirium is associated with poor clinical outcomes, such as decline in cognitive and functional status, increased morbidity and mortality and high health care costs. Despite this, delirium is often underdiagnosed [9, 10]. The diagnosis might even be more difficult in NHs, with an inverse correlation between the severity of patient’s frailty and the ability of healthcare professionals to recognize this syndrome [11]. One potential cause of underdiagnosis might be the lack of systematic use of diagnostic tools [12]. The Confusion Assessment Method (CAM) is a widely used instrument to assess delirium [13]. However, a training is recommended for its optimal use, and the tool was designed to be scored based on observations made during formal cognitive assessment [14]. Moreover, there were no studies specifically addressing the performance of CAM in patients with different stages of dementia in whom diagnosis, especially in those with moderate-severe cognitive decline, can be particularly challenging [15]. The 4 ‘A’s Test (4AT) [16] was developed as a short delirium assessment tool intended for clinical use in general settings at first presentation and when delirium is suspected. Administration of 4AT does not require special training and can be performed by both nurses and physicians. Since publication, 4AT performance has been evaluated in multiple studies [17], and it is widely used for the identification of patients with delirium in different care setting, showing good sensitivity and specificity [18,19,20].

The aim of this study is to describe the prevalence of delirium in Italian NHs, to characterize delirium motor subtypes in all residents with delirium and to investigate the main associated factors, using data from the “Delirium Day” 2016, a large project involving different health care settings.

Different drug classes have been advocated to be associated with delirium. However, there is still no high quality evidence on the association of specific pharmacological categories and this geriatric syndrome and results where sometimes conflicting [21]. In view of the difficulty of carrying out randomized controlled studies on this topic, it’s important to investigate it using high quality observational data.

In this context, among potential contributors to delirium, we aimed at analyzing the association between delirium in NHs residents and pharmacological treatments shown to be associated with delirium in other settings.

Methods

We analyzed data from the Italian “Delirium Day”, 2016 edition, a national multicenter point-prevalence study. The aim and the details of the Delirium Day studies have been described elsewhere [22]. Briefly, the physicians belonging to 12 Italian scientific societies were invited to participate to the study. Data about patients older than 65 years and admitted to the participating centers were collected from 00:00 to 23:59 on the 28th of September 2016. Patients affected by aphasia, blindness, deafness or in critical conditions (coma or terminally ill) were excluded. The Delirium Day collected patient data from different settings, such as hospitals, rehabilitations, long term care and hospices but we only considered data of patients from NHs. This study complies with the Declaration of Helsinki ethical standards. The Ethical Committee of the IRCCS Fondazione Santa Lucia, Rome (Prot CE/PROG.500) approved the study protocol. Informed consent was obtained from all participants or from their next of kin when the participants were not capable of giving informed consent themselves because of delirium or severe cognitive impairment.

Data collection

On the index day, demographics and information about medical history as well as the total number of medications taken by each patient and the use of specific pharmacological classes were collected. Education was expressed in terms of years of study. Functional status was assessed using the Activities of Daily Living (ADL) [23]. It was recorded whether physical restraints, defined as vests, wrists, inguinal restraints and bedrail, were in use during evaluation. Nutritional status was evaluated on the index day and classified according to clinical judgment of the attending physician, as “well nourished,” “at risk of malnutrition,” or “malnourished”. Dementia was diagnosed if the patient had documented diagnosis in the medical record and/or was prescribed acetylcholinesterase inhibitors or memantine. The burden of multimorbidity was assessed using the Charlson Comorbidity Index [24]. Polypharmacy has been defined as the use of five or more different drugs.

Delirium assessment

The presence of Delirium was assessed with 4AT. The tool is based on 4 items investigating acute changes in alertness, attention (months of the year in backwards order starting from December) and cognition (age, date of birth, place and current year reporting). The likelihood of delirium is classified according to the final score as follows: absence of delirium (0 points), unlikely diagnosis (1–3 points) or probable diagnosis (4 + diagnosis) [16]. The delirium assessment was conducted by the usual staff (physicians or nurses) on duty on the reference day, who were involved in daily care of enrolled residents. The motor subtype of delirium was determined using the Delirium Motor Subtype Scale (DMSS) [25].

Statistical analysis

Continuous variables are presented as mean and standard deviation (SD) or as median ± interquartile range where appropriate, while categorical data are presented as counts and percentages. Comparisons between groups were performed using the one-way ANOVA or t test, and the Kruskal-Wallis test or Mann-Whitney U test for normally and non-normally distributed data, respectively. The categorical variables were compared between groups using the χ2 test. Variables found to be statistically significant in the univariate analysis or clinically meaningful ones were included in a multiple stepwise (backward) logistic regression model, adjusted by age and sex, in order to determine the factors independently associated with delirium. The level of significance was established as 95% (p < 0.05).

For the selected models a sensitivity analysis was performed to verify the impact of cluster structure of data. We fitted a random intercept model able to take into account the correlation among response within the same NH. Analyses were performed using SPSS 25.0 (SPSS Inc., Chicago, IL, USA) and SAS 9.4 (SAS Institute, Inc., Cary, NC),

Results

Overall, 32 NHs collected the study data on the index day. We evaluated 955 residents, 288 male and 667 female (69.8%). The mean age of the sample was 84.72 ± 7.78 years. Baseline characteristics are reported in Table 1. Based on the 4AT score, delirium was present in 260 (27.2%) NHs residents. According to the DMSS scores (available in 91.2% of residents), 35.4% of them had a hyperactive delirium, 13.5% hypoactive and 20.7% showed mixed symptoms, while 30.4% did not show motor features.

Table 1 General characteristics comparison between patients with or without delirium
Full size table

Factors associated with delirium at multivariate analysis (Table 2) were worst functional and nutritional status, dementia, antipsychotics treatment and the presence of physical restraints. Antidepressant treatment and higher education were associated with lower delirium prevalence. Exploring more in depth the association between psychotropic drugs and delirium, both typical and atypical antipsychotics were associated with higher prevalence of delirium while, among antidepressants, only selective serotonin reuptake inhibitors (SSRIs) showed an inverse association with delirium at the univariate and multivariate analysis (Tables 1 and 3). There were no differences in the clinical characteristics, including prevalence of dementia, malnutrition and disability between residents treated with antidepressants and those who were not treated (see supplemental table, S1). Antidepressant and SSRIs confirmed their negative association with delirium in the sensitivity analysis (p-value 0.0077 and 0.0411, respectively).

Table 2 Stepwise logistic regression model of factors associated with delirium
Full size table
Table 3 Stepwise logistic regression model of factors associated with delirium according to different antidepressants classes
Full size table

Discussion

The Delirium Day 2016 study found that the prevalence of delirium in NHs residents is high with more than one fourth of patients identified as suffering from this condition. These prevalence data are lower than those reported in our previous publication investigating prevalence of delirium in Italian NHs [8], nevertheless confirming that this syndrome is very common in this care setting. The point prevalence design of the study, the different NHs involved and the lower dementia prevalence (52% vs. 44%) could, at least in part, justify such difference. Moreover, similar factors are associated with the presence of delirium, i.e. dementia, worst functional and nutritional status, antipsychotic treatment and physical restraints, while more years of education showed a protective effect.

Our prevalence data align with those from population with high dementia prevalence [26, 27]. The main associated factors like dementia, functional impairment, malnutrition, antipsychotic treatment, and physical restraints are well documented risk factors consistent with those reported in the literature [7] and better education might exert their protective effect on delirium being a marker of cognitive reserve [28, 29].

A main novelty of this study compared with our previous analysis [8], was the characterization of delirium motor subtype in more than 90% of residents with delirium. One third of the NHs residents had a hypoactive subtype of delirium or a mixed subtype, including hypoactive phases. Hypoactive delirium is subtle and more frequently goes undetected compared to the hyperactive form [30], with a worse prognostic value, at least in hospitalized patients [31,32,33,34]. In contrast with the hospital data [35], the most prevalent motor subtype was hyperactive delirium in NHs residents. This probably reflects the profound differences between these two populations in terms of clinical characteristics and treatments.

A new finding of this study was the inverse relation between antidepressants, specifically SSRIs, and delirium. In our previous work on delirium day in NHs we have found an inverse association between antidepressants and delirium, but only in the univariate analysis. Antidepressants have been previously associated with a higher risk of delirium, especially older antidepressants with high anticholinergic activity [36]. Aloisi G. et al. [37] found a positive association between the use of atypical antidepressants and delirium in a population of older adults admitted to an acute ward analyzing data from the 2015–2016 Delirium Day. Although second generation antidepressants could be associated with delirium, especially when concomitant side effect such as hyponatremia occur [38], a recent meta-analysis found no association between antidepressants and delirium [21]. On the other hand, no evidence is available for a protective effect of antidepressants for delirium particularly in NHs residents. In a secondary analysis of a large cohort of medical and surgical critically ill patients, Austin et al. [39] found that administration of an SSRIs was associated with decreased risk of delirium in the 24 h following wards admission.

Although our study design does not allow to establish a causality, there are different mechanisms by which SSRIs may exert a protective effect on delirium. SSRIs may have different anti-inflammatory properties [40]. They can reduce the expression of pro-inflammatory cytokines while increasing levels of anti-inflammatory Interleukin-10. They may reduce neurotoxicity influencing tryptophan kynurenine metabolic pathway, augmenting the ratio between neuroprotective and pro-inflammatory and neurotoxic metabolite. SSRIs can also modulate inflammation down-regulating Nuclear Factor kappa B signaling, inhibiting or reducing expression of inflammatory genes and mediators and reducing polymorphonuclear chemotaxis and T-cell proliferation. SSRIs may exert an anti-anxiety effect that could also be protective against the development of an episode of delirium [41]. Moreover, SSRIs may also protect against cognitive decline. In animal models’ citalopram has shown to improve cognitive behavior reducing amyloid beta levels and mitochondrial and synaptic toxicities suggesting a possible protective against mutant amyloid beta precursor protein and amyloid beta induced injuries in patients with depression, anxiety and Alzheimer’s disease [42]. A recent systematic review showed that some subgroups of patients, such as older subjects with depression or stroke, may benefit from long-term SSRIs treatment on memory performance [43].

Noteworthy, it should be underlined that analyzing the relationship between drugs and delirium is a complex issue. For example, a recent systematic review [21] found that the majority of prospective studies do not confirm antipsychotics as a direct risk factor for delirium. Their relationship could be due to confounding by indication, especially when analyzed in cross-sectional studies, as antipsychotics are often used empirically, although inappropriately, in the treatment of hyperactive delirium episodes. Even in the case of antidepressants the association might be non-causal, possibly due to a reduced rate of treatment of individuals with severe dementia, although a substantial number of patients with dementia are being prescribed antidepressants [44, 45].

The lack of association between polipharmacy and delirium might be unexpected. However, pharmacological treatments of NHs residents are mainly characterized by chronic therapies, while polypharmacy is likely to be associated with delirium when there are newly introduced drugs, in particular if they are inappropriate. Indeed, this result is in line with our previous work [8]. Moreover, it is noteworthy that a previous study, based on data from the 2015 and 2016 editions of the Delirium Day on hospitalized older patients, showed an association between polypharmacy and delirium only in surgical departments [37].

Our study has some limitations that should be acknowledged. The 4AT could partially overestimate the prevalence of delirium in subjects with dementia, in which the items exploring attention and cognition could be altered because of cognitive impairment, and it doesn’t allow to distinguish between behavioral and psychological symptoms of dementia and delirium. However, attention tasks in patients with dementia are relatively preserved until an advanced stage of the disease [46] and disorientation is more common in patients with delirium or delirium superimposed on dementia than in those with dementia without delirium [47]. Although scientific literature has not yet provided ideal tools for the recognition of delirium in patients with dementia, the 4AT is so far considered to be a method with good sensitivity and specificity for the detection of this pathological condition according to validation and comparative studies [20]. The observational cross-sectional design of study does not allow to draw definite conclusions about the causal relation between different associated factors and delirium. To exclude a confounding by severity (i.e. residents taking antidepressants being in better clinical conditions, and hence at lower risk of delirium, than residents not prescribed antidepressants) we compared the clinical characteristics, including prevalence of dementia, malnutrition and disability in residents treated or not with antidepressants and SSRIs, finding no difference. Given the multiple potential mechanisms linking SSRIs with delirium, this finding is very intriguing and should lead to new research investigating the pathophysiology and prevention of delirium. The lack of association between other antidepressants classes, such as SNRI, and delirium might be due to the low number of subject taking these drugs.

Our study has important strength, including the multicentric design, the large sample size, the use of a standardized evaluation of delirium using a validated tool and the inclusion of several demographic and clinical characteristics as well as drug treatments in the statistical analysis. Moreover the substantial overlap of results with our previous findings strongly reinforces the validity and generalizability of our data.

Conclusions

The present study confirms a high prevalence of delirium in NHs residents. In this care setting, delirium is often superimposed on dementia favoring higher rate of adverse outcomes [15, 45].

Hypoactive and mixed forms of delirium are frequent in this population and could compromise its recognition by health care personnel if not actively sought.

Therefore, systematically screening for delirium in NHs should be strongly recommended to promptly identify residents suffering from delirium as well as an increased research effort should be promoted to determine predisposing and precipitating factors for delirium in this care setting and to identify strategies to prevent or treat it.

In this contest the finding of an inverse association between antidepressants use, especially SSRI, and delirium is novel and deserves further investigation with prospective studies.

Data availability

The datasets generated during and/or analyzed during the current study are available from the corresponding author on reasonable request (a.cherubini@inrca.it).

Abbreviations

NHs:

Nursing Homes

CAM:

Confusion Assessment Method

4AT:

4 ‘A’s Test

DMSS:

Delirium Motor Subtype Scale

ADL:

Activities of Daily Living

SSRIs:

serotonin reuptake inhibitors

SNRIs:

Serotonin-Norepinephrine Reuptake Inhibitors

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Funding

This article was co-funded by Next Generation EU - “Age-It - Ageing well in an ageing society” project (PE0000015), National Recovery and Resilience Plan (NRRP) - PE8 - Mission 4, C2, Intervention 1.3”. The views and opinions expressed are only those of the authors and do not necessarily reflect those of the European Union or the European Commission. Neither the European Union nor the European Commission can be held responsible for them. This work was funded by the Italian Ministry of Health (Ricerca Corrente to IRCCS INRCA and Istituti Clinici Scientifici Maugeri IRCCS).

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Author notes

  1. Giuseppe Bellelli and Antonio Cherubini both authors equally contributed and are senior authors.

Authors and Affiliations

  1. Geriatria, Accettazione geriatrica e Centro di ricerca per l‘invecchiamento, IRCCS INRCA, Via della Montagnola 81, Ancona, 60127, Italy

    Massimiliano Fedecostante, Paolo Balietti, Alessia Beccacece & Antonio Cherubini

  2. Department of Clinical and Behavioral Neurology, Laboratory-Service of Epidemiology and Clinical Research, IRCCS Foundation S Lucia, Roma, Italy

    Simona Gabriella Di Santo

  3. Department of Statistics and Quantitative Methods, University of Milano-Bicocca, Milan, IT, Italy

    Antonella Zambon

  4. Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy

    Alessandra Marengoni

  5. Azienda Speciale Cremona Solidale, Cremona, Italy

    Alessandro Morandi

  6. School of Medicine and Surgery, Milano-Bicocca University, Monza, Italy

    Giuseppe Bellelli

  7. Department of Clinical and Molecular Sciences, Università Politecnica delle Marche, Ancona, Italy

    Antonio Cherubini

  8. Unit of Biostatistica, IRCCS Istituto Auxologico Italiano, Milan, Italy

    Antonella Zambon

  9. REFiT Barcelona Research Group, Parc Sanitari Pere Virgili and Vall d’Hebron Institut de Recerca (VHIR), Barcelona, Spain

    Alessandro Morandi

  10. Acute Geriatric Unit, IRCCS Foundation San Gerardo, Monza, Italy

    Giuseppe Bellelli

Authors
  1. Massimiliano Fedecostante
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  2. Paolo Balietti
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  4. Antonella Zambon
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  7. Alessia Beccacece
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  8. Giuseppe Bellelli
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  9. Antonio Cherubini
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Contributions

Conception and design of the work: AC; FM. Data analysis: FM, AZ. Interpretation of the results: all authors.Drafting the article: BP; FM. Critical revision of the manuscript: all authors. Final approval of the manuscript: all authors.

Corresponding author

Correspondence to Antonio Cherubini.

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Fedecostante, M., Balietti, P., Di Santo, S.G. et al. Delirium in nursing home residents: is there a role of antidepressants? A cross sectional study. BMC Geriatr 24, 767 (2024). https://doi.org/10.1186/s12877-024-05360-z

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Keywords

BMC Geriatrics

ISSN: 1471-2318

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