INTRODUCTION

Parkinsonâ?Ts disease (PD) is the second most common neurodegenerative disorder¹. It is a complex disease that causes motor and non-motor symptoms and impairs functionality². People with PD require regular medical and multiprofessional evaluations for function adjustments, rehabilitation, and management of complications. The annual risk of falls in PD ranges from 45 to 68%³. Notably, some parkinsonian factors could predict fall risk, including orthostatic hypotension, freezing of gait, disease severity, and postural instability⁴. Recurrent falls are an issue in the life of PD patients and suggest disease progression³. The definition of recurrent falls comprises more than one fall in a certain period⁵ and allows discriminating people who happened to fall from those with an increased intrinsic risk for falls³.

Underlying factors associated with recurrent falls in PD patients are different from those of the general population⁵. Risk factors for falls may be intrinsic or extrinsic. Intrinsic factors include physiological changes related to age, balance and gait alterations, visual and hearing impairment, and the presence of comorbidities. Extrinsic factors include environmental risks, such as insufficient lighting and slippery floor, risk behaviors, and behaviors related to activities of daily living⁶.

The prevalence of PD tends to increase worldwide in the coming decades¹. Thus, the incidence of falls is likely to increase with a relevant burden on the health care system, considering their consequences. Falls may result in deaths, decreased mobility, and lower quality of life⁷. It is a complex issue, with a long way for effective prevention and treatment⁵. Previous studies have found an association between the use of certain drugs and increased risk of falls in older people^8-10. The most effective prevention programs have multidimensional strategies to reduce falls, including careful regular review of medication use¹¹. Neurological consultations of PD patients have often focused on prescribing antiparkinsonian drugs and addressing motor symptoms¹². However, it is necessary to actively address factors associated with fall risk during a routine neurological consultation to prevent future falls. In this sense, neurologists should be aware of fall risk and review the medications prescribed to their patients. Many studies focus on falls in older people. However, few studies have addressed falls in PD, focusing on medications associated with increased risk of falls. Thus, the purpose of this study was to characterize the clinical features of PD patients and assess variables related to the occurrence of falls and recurrent falls in the previous 6 months.


METHODS

Study design and participants

We conducted a cross-sectional study to evaluate consecutive PD patients who attended the Movement Disorders outpatient clinic of Hospital Universitário Walter Cantidio (HUWC), Fortaleza (Ceará), Northeast Brazil. We followed the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) reporting guidelines for cross-sectional studies. Participants were recruited from January 2018 to August 2019. Diagnosis of PD was confirmed when they fulfilled the clinical diagnostic criteria by the Movement Disorders Society and the U.K. Parkinsonâ?Ts Disease Society Brain Bank. We excluded the patients with severe PD, according to the modified Hoehn and Yahr (HY) Scale for PD Staging (HY-5).

Clinical evaluation

We evaluated the patients during regular face-to-face consultations. Our team comprised two neurology residents, one internal medicine resident, one geriatrics resident, two neurologists, and one geriatrician previously trained to evaluate PD patients. Potential confounders were minimized by the previous training to address these patients. We used a structured questionnaire to collect sociodemographic and clinical information, including age, sex, disease duration, family history of PD, marital status, history of hypertension, diabetes, cardiac insufficiency, peripheral arterial disease, cancer, chronic obstructive pulmonary disease¹³, chronic kidney disease, orthostatic hypotension, stroke¹⁴, dementia, mild neurocognitive disorder (15), epilepsy, hip fracture, depression, bipolar affective disorder¹⁵, osteoporosis, osteoarthritis, and urgent urinary incontinence.

We also collected information on antiparkinsonian drug treatments, including l-DOPA (l-DOPA/carbidopa, l-DOPA/benserazide, and sustained-release formulation of l-DOPA), catechol-O-methyltransferase (COMT) inhibitors (entacapone), monoamine oxidase B (MAO-B) inhibitors (rasagiline), amantadine, and dopamine agonists (pramipexole). To compare different doses of antiparkinsonian medications, we adopted the levodopa equivalent dose (LED) according to a systematic review by Tomlinson et al.¹⁶.

Moreover, we collected information on the number of drugs used by each participant. We used the Schwab and England Activities of Daily Living (SE ADL) Scale to assess the ability to perform ADL and the modified HY scale for PD staging¹⁷. We evaluated all patients during the â?oonâ?? phase. We collected any information on complications of antiparkinsonian treatments, including visual hallucinations, dyskinesias, and motor fluctuations, by consulting patients, family, caregivers, and clinical records. In case of difficulties obtaining information with the patients (e.g., cognitive impairment), we collected the data by interviewing their family or caregivers. The interview was followed by a physical examination, in which clinical changes not perceived by the patients or their family could be recognized.

Assessment of falls

A fall was defined as an event that results in a person coming to rest unintentionally on the floor or another lower level without any cause (e.g., violent behavior, assaults, or car or bike accidents) or precipitant (syncope or epilepsy)¹⁸. A faller was defined as the patient who had at least one fall and a non-faller who did not have any fall in the past 6 months. A non-recurrent faller was defined as the individual who had none or one fall. A recurrent faller was defined as an individual who had two or more falls³. We evaluated the number of falls in the past 6 months before the medical evaluation.

Statistical analysis

We calculated the mean, standard deviation, and median for each continuous variable. We compared non-fallers (0 falls) and fallers (≥1 fall), as well as non-recurrent (≤1 fall) and recurrent fallers (>1 fall). We used the Shapiro-Wilk test to assess the normality distribution of data. We compared the demographic and clinical characteristics between the groups using the Mann-Whitney U test for continuous variables and the X² test or Fisherâ?Ts exact test for categorical variables. We constructed two separate multivariate logistic regression models using a forward stepwise procedure to assess the relationship between the study variables (fallers vs. non-fallers and non-recurrent fallers vs. recurrent fallers). Fallers and recurrent fallers were considered as dichotomous-dependent variables (yes or no) in the regression models.

After conducting a univariate analysis including the variables of interest (Tables 1 and 2, and Figure 1), we included those with p<0.05 in the multivariate regression analysis (Tables 3 and 4). For the multivariate regression analyses, we used binary logistic regression analysis with a forward stepwise method. A detailed description of these analyses with the interactions of the models and the inputs and outputs of variables are available in Supplementary Materials 1 and 2. We used the variance inflation factor to verify multicollinearity in the independent variables. Statistical analyses were performed using the JAMOVI statistics package (version 0.9).




Ethics

The local ethics committee approved the study (registration number: 91075318.1.0000.5045). All participants gave their written informed consent before the collection of data. We conducted all procedures by following the ethical standards of the human experimentation committee and the principles of the Declaration of Helsinki.


RESULTS

We included 327 patients in the analysis (48% women). The mean age was 70 years old, and the mean disease duration was 9.9±6.9 years. Over half of them (201; 62.2%) were married. Notably, 61 (19.1%) participants had a family history of PD. The most common clinical manifestations associated with PD were sleep disorders (67.1%), motor fluctuations (58.4%), urinary incontinence (36.7%), and orthostatic hypotension (28.4%). The most prevalent comorbidities were depression (47.2%), hypertension (44%), and type 2 diabetes mellitus (21.5%). Sociodemographic variables were not significantly associated with fallers (Table 1). Figure 1 illustrates the frequency of medication use among fallers and recurrent fallers.

The participants were sorted into two groups: fallers and non-fallers in the first analysis and recurrent fallers and non-fallers in the second analysis. In the logistic regression models, we included the clinical symptoms that were substantially related to the occurrence of falls in the previous 6 months: motor fluctuations (odds ratio [OR]=1.66, p=0.027), dyskinesia (OR=2.99, p<0.001), hallucinations (OR=2.79, p<0.001), hypertension (OR=0.62, p=0.034), urinary incontinence (OR=1.73, p=0.018), and walking aids (OR=1.78, p=0.044). Regarding the scale variables, the significant ones were HY stage (p=0.002), SE ADL score (p=0.007), and disease duration (p<0.001).

Table 1 and Figure 1 show the variables significantly associated with falls in the univariate analysis. The following clinical symptoms were shown to be categorical variables substantially related to recurrent falls: dyskinesia (OR=4.53, p<0.001), hallucinations (OR=2.87, p<0.001), mild cognitive impairment (OR=2.71, p=0.017), motor fluctuations (OR=2.08, p=0.003), walking aids (OR=1.97, p=0.019), dementia (OR=1.83, p=0.037), and urinary incontinence (OR=1.69, p=0.028). Regarding the scale variables, the significant ones were HY stage (p<0.001), SE ADL score (p=0.007), and disease duration (p<0.001). Table 3 and Figure 1 show the variables significantly associated with recurrent fallers in the univariate analysis. These variables were included in the logistic regression models (Table 4).


DISCUSSION

We showed that amantadine use, visual hallucinations, and entacapone use were significantly associated with falls. In the multivariate analysis, we found an association of recurrent falls with hallucinations, amantadine use, and dyskinesias. Amantadine use was the independent variable and most strongly associated with falls, and hallucinations were most strongly associated with recurrent falls. Fallers and recurrent fallers are likely to have more severe symptoms and present dyskinesias, requiring more antiparkinsonian drugs^9,19. Moreover, they were likely to have more motor fluctuations and receive entacapone to improve these symptoms²⁰. Also, patients with advanced PD have more hallucinations that are associated with cognitive decline²¹.

Dyskinesia encompasses abnormal and involuntary movements, and its treatment is often challenging¹⁶. In a systematic review, Manson et al.²². concluded that dyskinesia in PD ranges from 40% to 50% within 5 years of treatment, and this rate may increase to 50â?"75% within 10 years of treatment.²² Most patients have mild dyskinesia without functional impairment. This symptom may be improved with adjustments in dopaminergic drug treatment, reflecting a more cautious use of levodopa²³, once amantadineâ?Ts side effects include blurred vision, dizziness, hallucinations, confusion, urinary disturbances, constipation, orthostatic hypotension, peripheral edema, and dry mouth²³, which could partially account for the increased fall risk. Also, amantadine is a drug frequently used for the treatment of dyskinesia. In this study, we found an association of amantadine use with falls and recurrent falls. Amantadine potentially causes anticholinergic effects²⁴, and its anti-dyskinetic effects are transient. Thomas et al.²⁵ reported that amantadine reduced dyskinesia, but from 3 to 8 months of treatment. Amantadine elimination is through renal clearance, and toxicity is more common in elderly patients with renal dysfunction. Thus, it is necessary to measure nitrogenous bases before prescribing this medication²⁴. Individualized risk-to-benefit assessment should form a part of the decision on maintaining this drug treatment for dyskinesia in PD patients.

Dyskinesia was associated with recurrent falls in our study. In a 1-year prospective study, Rudziñska et al.²⁶ compared 106 PD patients against 55 age-matched controls. They reported a rate of fall of 54% in PD patients compared with 18% in controls. In another study, 3.6% of falls in PD patients were due to severe dyskinesia²⁶. In a 6-month prospective study conducted with 64 PD patients without dementia or severe comorbidities, Lamont et al.²⁷ indicated that a prevalence of 54% experienced near falls or falls. The authors found that dyskinesia, defined as the occurrence of scores ≥1 in the Unified Parkinsonâ?Ts Disease Rating Scale item-32, was the strongest predictor of future or near falls²⁷. Involuntary movements that interfere with gait can explain the link between dyskinesia and repeated falls. Indeed, gait is impaired in patients with severe dyskinesia and advanced PD²³.

Visual hallucinations are frequent in PD, and their prevalence ranges from 30 to 50% in cross-sectional studies²⁸. A hypocholinergic status may be involved in the pathophysiology of visual hallucinations²⁹ once cholinergic deficit causes impaired attention and visual hallucinations³⁰. Hallucinations were significantly associated with falls and recurrent falls in our study, supporting the hypothesis that acetylcholine reduction is related to hallucinations, which in turn are associated with impaired attention and increased risk of fall²⁹.

The cholinergic system of subcortical regions in the striatum, thalamus, and cerebellum plays a substantial role in mobility. Executive function is essential for cognition and the cognitive control of gait and balance³¹. Cholinergic activity in the thalamus, originating from the pedunculopontine nucleus (PPN), is essential for gait regulation and is implicated in gait impairment in PD. Some studies have evidenced cholinergic dysfunction by using positron emission tomography in PD patients, experiencing falls compared to non-fallers³².

Hallucinations in PD probably involve a cholinergic neuronal loss and a loss of dopaminergic neurons. Cholinergic dysfunction causes attention deficits and impairment in executive functions. Hence, gait and balance may no longer be compensated by attentional control, thus increasing the risk of falls³³.

In this study, we also found an association between COMT inhibitors and falls. In a caseâ?"control study conducted in U.S. veterans with hip fractures, French et al.³⁴ showed that the association between antiparkinsonian drug use and falls was four times higher in cases compared with controls. However, it is unlikely to determine whether this association is due to the disease or the medicines used to treat it.

Considering that the main side effects of COMT inhibitors are nausea, diarrhea, vomiting, and postural hypotension³⁵, the increased risk of falls due to drug use may be due to these distress symptoms. Patients expressing discomfort due to these symptoms were 2â?"5 times more likely to fall. However, long-term studies are needed to confirm the use of COMT inhibitors as a predictor of falls³⁶.

In a case-control study that included patients with parkinsonism and PD, Vestegaard et al.³⁷ evaluated the association between the incidence of fracture and antiparkinsonian drug use. Participants who experienced fractures (n=124,655) were matched for age and sex with three randomly assigned controls (n=373,962). The authors found a dose-dependent increase in the risk of fracture related to levodopa use, either alone or combined with carbidopa and/or a COMT inhibitor.

This study has some strengths and limitations. As strength, we highlighted the detailed information collected on the drugs prescribed, showing prescription practices in routine consultations. As a limitation, we did not use a specific instrument to assess dyskinesia and its severity. It is critical to enhance dyskinesia diagnosis accuracy by educating patients and their families and utilize diaries or video recordings to track their frequency and severity. Also, we did not have data on locomotor function (balance and gait).

Individualized clinical assessment and review of drug prescribing in PD are practices that must be incorporated into neurological consultations. Health care providers play a relevant role in fall prevention in PD patients, particularly by identifying older adults experiencing dyskinesia and visual hallucinations. Also, patients taking amantadine and entacapone should be carefully assessed for fall risk. Prospective studies should investigate the possible role of these medications as risk factors for falls in PD patients.


ACKNOWLEDGMENTS

The authors thank Samuel Ranieri Oliveira Veras (Division of Neurology, Hospital Universitário Walter Cantidio, Fortaleza, Ceará) for providing care to PD patients and medical students and also thank Isabelle de Sousa Pereira (UFC), Lara Sobreira Pires de Carvalho, Ilzane Maria de Oliveira Morais, and Bianca Fernandes Távora Arruda (Universidade de Fortaleza, UNIFOR) for their help with cross-checking of data. The authors also thank all patients who agreed to participate in this study. Samuel Brito de Almeida benefits from the scholarship of the UFC doctoral programme in Medical Science by FUNCAP. Pedro Braga-Neto received funding from the Brazilian National Council for Scientific and Technological Development (CNPq) as research grant funding (Productivity scholarship).

Authorsâ?T contributions. DPL: contributed to the study conception and design, data collection, statistical analysis, and interpretation of data and participated in drafting this manuscript and revising it for important intellectual content. SBA and JCB: contributed to the study design and participated in revising this manuscript for important intellectual content. AHSC: participated in revising this manuscript for important intellectual content. JRGL: contributed to interpretation of data and participated in drafting this manuscript. MSA, PGBR, and ISP: contributed to data collection. ABVJ contributed to statistical analysis and interpretation of data. MASN and JSRF: participated in revising the draft for important intellectual content. PBN: contributed to the study conception and design, interpretation of data, and revising this manuscript for important intellectual content. All authors reviewed and approved the final version of this manuscript.


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This study was conducted by the Walter Cantídio University Hospital, Universidade Federal do Ceará, Fortaleza, CE, Brazil

1. Universidade Federal do Ceará, Departamento de Clínica Médica, Divisão de Neurologia,Fortaleza CE, Brazil
2. Universidade Federal do Ceará, Departamento de Clínica Médica, Divisão de Geriatria,Fortaleza CE, Brazil
3. Universidade de Fortaleza, Faculdade de Medicina, Fortaleza CE, Brazil
4. Universidade Federal do Ceará, Hospital Universitário Walter Cantídio, Unidade de Pesquisa Clínica, Fortaleza CE, Brazil
5. Universidade Unichristus, Faculdade de Medicina, Fortaleza CE, Brazil
6. Universidade Estadual do Ceará, Centro de Ciência da Saúde, Fortaleza CE, Brazil

Correspondence:

Danielle Pessoa Lima
Email: dra.daniellelima@gmail.com

Received on February 16, 2021
Received in its final form on August 10, 2021
Accepted on October 09, 2021

Disclosure: The authors report no conflict of interest

Funding: none