Change in the incidence of Parkinson's disease in a large UK primary care database

Effects of antimicrobial exposure on the risk of Parkinson's disease

BACKGROUND

We aimed to assess how antimicrobial exposure affects Parkinson's disease (PD) risk.

METHODS

A nested case-control study was performed to examine the association between antimicrobial exposure and newly diagnosed PD using the Clinical Practice Research Datalink (CPRD). Each PD case was matched by age, sex, and year of diagnosis (index date) to up to 15 controls. Number of prescribed antimicrobial courses was assessed 1-5, 6-10, and 11-15 years prior to the index date. Logistic regression with generalized estimating equations (GEE) was used to estimate odds ratios (ORs) and false discovery rate-adjusted p-values between antimicrobial exposure and risk of PD.

RESULTS

We compared 12,557 PD cases with 80,804 matched controls. We found an inverse dose-response relationship between number of penicillin courses and PD risk across multiple time periods (5+ courses, 1-5 years prior: OR 0.85, 95 % CI 0.76-0.95, p = 0.043; 6-10 years prior: OR 0.84, 95 % CI: 0.73-0.95, p = 0.059; 11-15 years prior: OR 0.87, 95 % CI 0.74-1.02, p = 0.291). The number of macrolide courses was inversely but not significantly associated with PD risk 1-5 years prior to the index date (OR 0.89-0.91, 95 % CI: 0.79-0.99, adjusted p = 0.140-0.167). Exposure to ≥2 courses of antifungals 1-5 years prior was associated with an increased risk of PD (OR 1.16, 95 % CI: 1.06-1.27, p = 0.020).

CONCLUSIONS

In a large UK-representative population, the risk of PD was modestly lower among adults who had previously received multiple courses of penicillins in the last 15 years and modestly higher among those exposed to antifungal medicines in recent years.

A systematic review and meta-analysis of the prevalence of Parkinson's disease in lower to upper-middle-income countries

Parkinson's disease (PD) is a common neurodegenerative disease that is a growing public health challenge. Estimates of the burden of PD have focused on data from high-income countries, with lower-income countries poorly described. We reviewed and examined the prevalence of PD reported by studies in low- to upper-middle-income countries. A systematic literature search was performed in the Medline/PubMed, Embase, LILACS, and Web of Science databases. Age group, sex, and geographic region were considered when analyzing the data. Of the 4327 assessed articles, 57 met the inclusion criteria for qualitative review, and 36 were included in the meta-analysis. Heterogeneity measures were high both as a whole and in each geographic region. Data analysis by geographic region showed that reported prevalence differed across regions, ranging from 49 per 100,000 (Sub-Saharan Africa) to 1081 per 100,000 (Latin America and the Caribbean). There was an increasing prevalence of PD with advancing age (per 100,000): 7 in 40-49 years, 158 in 50-59 years, 603 in 60-69 years, 1251 in 70-79 years, and 2181 in over the age of 80. The prevalence of PD in men and women was similar. There was a greater PD prevalence in populations with a higher 5-year GDP per capita and a higher life expectancy. Our findings suggest a higher prevalence of PD in lower and upper-middle-income countries than previously reported. Comparisons between regions are difficult, as the sociocultural differences and lack of methodological standardization hinder understanding key epidemiological data in varied populations.

Multiscale brain age prediction reveals region-specific accelerated brain aging in Parkinson's disease

Brain biological age, which measures the aging process in the brain using neuroimaging data, has been used to assess advanced brain aging in neurodegenerative diseases, including Parkinson disease (PD). However, assuming that whole brain degeneration is uniform may not be sufficient for assessing the complex neurodegenerative processes in PD. In this study we constructed a multiscale brain age prediction models based on structural MRI of 1240 healthy participants. To assess the brain aging patterns using the brain age prediction model, 93 PD patients and 91 healthy controls matching for sex and age were included. We found increased global and regional brain age in PD patients. The advanced aging regions were predominantly noted in the frontal and temporal cortices, limbic system, basal ganglia, thalamus, and cerebellum. Furthermore, region-level rather than global brain age in PD patients was associated with disease severity. Our multiscale brain age prediction model could aid in the development of objective image-based biomarkers to detect advanced brain aging in neurodegenerative diseases.

Incidence of Parkinson's disease in Germany based on prevalence data from 70 million patients of the statutory health insurance

BACKGROUND

Parkinson's disease (PD) is a progressive neurodegenerative disorder characterized by motor and nonmotor system manifestations and psychiatric symptoms. The aim of this study was to estimate the age- and sex-specific incidence of PD in Germany using an illness-death model and a corresponding partial differential equation (PDE) based on prevalence and mortality data.

METHODS

Based on a PDE that describes the dynamics in an illness-death model, the age- and sex-specific incidence of PD in Germany was estimated using published prevalence and mortality rates. Prevalence rates were provided by the Central Institute for Statutory Health Insurance (Zi) for the period from 2010 to 2019. Parkinson's related mortality was estimated based on comparable population data from Norway. Bootstrapping was used for incidence estimation (median of 5000 samples) and to obtain 95% confidence intervals to interpret the accuracy of the incidence estimation.

RESULTS

Men had higher incidences of PD than women at all ages. The highest incidences (median of 5000 bootstrap samples) for both groups were estimated for the age of 85 years with an incidence of 538.49 per 100,000 person-years (py) in men and 284.09 per 100,000 py in women, with an increasing width of bootstrapping 95% CIs showing greater uncertainty in the estimation at older ages.

CONCLUSION

The illness-death model and the corresponding PDE, which describes changes in prevalence as a function of mortality and incidence, can be used to estimate the incidence of PD as a chronic disease. As overestimation of incidence is less likely with this method, we found incidence rates of Parkinson's disease that are suitable for further analyses with a lower risk of bias.

No trend to rising rates: A review of Parkinson's prevalence studies in the United Kingdom

BACKGROUND

Of the neurodegenerative diseases, Parkinson's disease is recognised to have the fastest growing prevalence. It is unclear whether this is due to the ageing global population alone, with several environmental factors increasingly implicated in changing prevalence rates. Large data sets have been used nationally and globally to help predict future disease burden. However, the reliability of such sources is yet unknown for Parkinson's disease.

SUMMARY

This review discusses the methods used in all published UK prevalence studies conducted to date. Direct comparison between prevalence figures obtained from the 10 to discussed prevalence studies is precluded due to differences in methodology for case ascertainment and diagnosis. Age adjusted estimates vary from 105/100,000 to 168/100,000.

KEY MESSAGES

These studies demonstrate no overall trend in changing prevalence figures between 1961 and 2007. No difference in prevalence trends were seen for those living in rural or urban areas. Differences between ethnic groups, for example, remains an under explored area.

A programme evaluation of 'First Steps': A peer-conceived, developed and led self-management intervention for people after a Parkinson's diagnosis

OBJECTIVE

A diagnosis of Parkinson's often leads to uncertainty about the future and loss of perceived control. Peer support may offer a means to address these concerns and promote self-management.

DESIGN

A programme evaluation of the feasibility and potential effects of 'First Steps', utilising a pragmatic step wedge approach. Comparing First Steps (intervention) to (control) conditions.Setting: In the community at four sites in southern England.Participants: Newly diagnosed (≤ 12months) people with Parkinson's.Intervention: First Steps was a 2-day peer-conceived, developed and led intervention to support self-management.Main measures: At 0, 12 and 24 weeks anxiety and depression (Hospital, Anxiety and Depression Scale, HADS), daily functioning (World Health Organisation Disability Assessment Schedule, WHODAS), physical activity, quality of life (EQ5D), carer strain and service utilisation were assessed.

RESULTS

Between February 2018 and July 2019, 36 participants were enrolled into intervention and 21 to control conditions, all were included in statistical analysis. Lost to follow up was n = 1 (intervention) and n = 1 adverse event was reported (control, unrelated). Of the 36 allocated to the intervention n = 22 participants completed both days of First Steps during the study period. Completion of outcome measures was >95% at 24 weeks. Small effects favouring the intervention were found for HADS (odds ratio (OR) = 2.06, 95% confidence interval (CI) 0.24:17.84), Carer Strain Index (OR = 2.22, 95% CI 0.5:9.76) and vigorous (d = 0.42, 95% CI -0.12:0.97) and total physical activity (d = 0.41, 95% CI -0.13:0.95). EQ5D, WHOSDAS and service utilisation, was similar between groups.

CONCLUSIONS

First Steps was feasible and safe and we found potential to benefit physical activity, mental health and carer strain. Further research with longer-term follow up is warranted.

Update: Descriptive epidemiology of Parkinson disease

We review the descriptive epidemiology of Parkinson disease (PD). PD is a prevalent neurologic disorder in high Socio-Demographic Index (SDI) nations with rising prevalence in low and middle SDI nations. PD became a prevalent disorder in high SDI nations during the 20th century. Population growth, population aging, and increased disease duration are major drivers of rising PD prevalence. Exposure to industrial toxicants may also be a contributor to rising PD prevalence. PD is an age-related disorder with incidence likely peaking in the 8th decade of life and prevalence in the 9th decade of life. PD is notable for significant sex difference in PD risk with greater risk in men. There may be ancestral differences in PD prevalence and risk. PD is associated with moderately increased mortality though this may be underestimated. Despite significant research, there is considerable uncertainty about basic features of PD epidemiology.

Aqueous extract of Swietenia macrophylla leaf exerts an anti-inflammatory effect in a murine model of Parkinson's disease induced by 6-OHDA

Introduction

Parkinson's disease affects 2% of the population aged over 65 years and is the second most common neurodegenerative disorder in the general population. The appearance of motor symptoms is associated with the degeneration of dopaminergic neurons in the nigrostriatal pathway. Clinically significant nonmotor symptoms are also important for severe disability with disease progression. Pharmacological treatment with levodopa, which involves dopamine restitution, results in a temporary improvement in motor symptoms. Among the mechanisms underlying the pathogenesis of the disease are exacerbated oxidative stress, mitochondrial dysfunction, and neuroinflammation. A phytochemical prospecting study showed that the aqueous extract of the leaves from Swietenia macrophylla (Melineaceae), known as mahogany, has polyphenols with antioxidant and anti-inflammatory capacity in a significantly higher percentage than leaf extracts from other Amazonian plants. Furthermore, the antioxidant and anti-inflammatory capacity of aqueous extract of mahogany leaf has already been demonstrated in an in vitro model. In this study, we hypothesized that the aqueous extract of mahogany leaf (AEML) has a neuroprotective effect in a murine model of Parkinson's disease induced by 6-hydroxidopamine (6-OHDA), due to antioxidant and anti-inflammatory properties of its phenolic compounds.

Methods

Mice were treated daily with the mahogany extract at a dose of 50 mg/kg, starting 7 days before 6-OHDA infusion until post-surgery day 7.

Results and discussion

The animals from the 6-OHDA/mahogany group, which corresponds to animals injected with the toxin and treated with aqueous extract of the mahogany leaf, presented distinct behavioral phenotypes after apomorphine challenge and were therefore subdivided into 2 groups, 6-OHDA/mahogany F1 and 6-OHDA/mahogany F2. The F1 group showed a significant increase in contralateral rotations, whereas the F2 group did not show rotations after the apomorphine stimulus. In the F1 group, there was an increase, although not significant, in motor performance in the open field and elevated plus maze tests, whereas in the F2 group, there was significant improvement, which may be related to the lesser degree of injury to the nigrostriatal dopaminergic pathway. The TH+ histopathological analysis, a dopaminergic neuron marker, confirmed that the lesion to the nigrostriatal dopaminergic pathway was more pronounced in 6-OHDA/mahogany F1 than in 6-OHDA/mahogany F2. Our main result consisted of signs of improvement in the inflammatory profile in both the F1 and F2 6-OHDA/mahogany groups, such as a lower number of IBA-1+ microglial cells in the ventral striatum and substantia nigra pars compacta and a reduction in GFAP+ expression, an astrocyte marker, in the dorsal striatum. In this study, several bioactive compounds in the aqueous extract of mahogany leaf may have contributed to the observed beneficial effects. Further studies are necessary to better characterize their applicability for treating chronic degenerative diseases with inflammatory and oxidative bases, such as Parkinson's disease.

Increased iron in the substantia nigra pars compacta identifies patients with early Parkinson'sdisease: A 3T and 7T MRI study

Degeneration in the substantia nigra (SN) pars compacta (SNc) underlies motor symptoms in Parkinson's disease (PD). Currently, there are no neuroimaging biomarkers that are sufficiently sensitive, specific, reproducible, and accessible for routine diagnosis or staging of PD. Although iron is essential for cellular processes, it also mediates neurodegeneration. MRI can localize and quantify brain iron using magnetic susceptibility, which could potentially provide biomarkers of PD. We measured iron in the SNc, SN pars reticulata (SNr), total SN, and ventral tegmental area (VTA), using quantitative susceptibility mapping (QSM) and R2* relaxometry, in PD patients and age-matched healthy controls (HCs). PD patients, diagnosed within five years of participation and HCs were scanned at 3T (22 PD and 23 HCs) and 7T (17 PD and 21 HCs) MRI. Midbrain nuclei were segmented using a probabilistic subcortical atlas. QSM and R2* values were measured in midbrain subregions. For each measure, groups were contrasted, with Age and Sex as covariates, and receiver operating characteristic (ROC) curve analyses were performed with repeated k-fold cross-validation to test the potential of our measures to classify PD patients and HCs. Statistical differences of area under the curves (AUCs) were compared using the Hanley-MacNeil method (QSM versus R2*; 3T versus 7T MRI). PD patients had higher QSM values in the SNc at both 3T (padj = 0.001) and 7T (padj = 0.01), but not in SNr, total SN, or VTA, at either field strength. No significant group differences were revealed using R2* in any midbrain region at 3T, though increased R2* values in SNc at 7T MRI were marginally significant in PDs compared to HCs (padj = 0.052). ROC curve analyses showed that SNc iron measured with QSM, distinguished early PD patients from HCs at the single-subject level with good diagnostic accuracy, using 3T (mean AUC = 0.83, 95 % CI = 0.82-0.84) and 7T (mean AUC = 0.80, 95 % CI = 0.79-0.81) MRI. Mean AUCs reported here are from averages of tests in the hold-out fold of cross-validated samples. The Hanley-MacNeil method demonstrated that QSM outperforms R2* in discriminating PD patients from HCs at 3T, but not 7T. There were no significant differences between 3T and 7T in diagnostic accuracy of QSM values in SNc. This study highlights the importance of segmenting midbrain subregions, performed here using a standardized atlas, and demonstrates high accuracy of SNc iron measured with QSM at 3T MRI in identifying early PD patients. QSM measures of SNc show potential for inclusion in neuroimaging diagnostic biomarkers of early PD. An MRI diagnostic biomarker of PD would represent a significant clinical advance.

Experiences of People Living with Parkinson's Disease in Care Homes: A Qualitative Systematic Review

BACKGROUND

Incidence of disability secondary to Parkinson's disease is increasing faster globally than any other neurological condition. The diverse appearance of symptomatology associated with Parkinson's, and the degenerative nature and subsequent functional decline, often increase dependence on caregivers for assistance with daily living, most commonly within a care home setting. Yet, primary literature and evidence synthesis surrounding these unique and complex care needs, challenges and the lived experiences of this population living in long-term nursing or residential facilities remains sparce. The aim of this review is to synthesize qualitative literature about the lived experience of people with Parkinson's disease living in care home settings.

METHODS

A systematic search of the literature was conducted in October 2023 across six different databases (CINAHL, Medline, EMBASE, PsycINFO, Scopus and Cochrane Library). The Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) was used to guide this review.

RESULTS

Five articles met the inclusion criteria. Four themes were identified following evidence synthesis: (1) Unique pharmacological challenges. (2) Transitioning and adapting to care home life and routines. (3) Dignified care within care homes. (4) Multidisciplinary care vacuum in care homes.

CONCLUSION

This review revealed the significant and unique challenges for people with Parkinson's disease when transitioning into care homes. These are exacerbated by wider social care challenges such as staffing levels, skill mixes and attitudes as well as a lack of disease-specific knowledge surrounding symptomatology and pharmacology. The lack of multi-disciplinary working and risk-adverse practice inhibited person-centred care and autonomy and reduced the quality of life of people living with Parkinson's disease in care homes. Recommendations for practice highlight training gaps, the need for consistent and improved interdisciplinary working and better person-centred assessment and care delivery.

Relationship among Parkinson's disease, constipation, microbes, and microbiological therapy

This comprehensive review elucidates the complex interplay between gut microbiota and constipation in Parkinson's disease (PD), a prevalent non-motor symptom contributing significantly to patients' morbidity. A marked alteration in the gut microbiota, predominantly an increase in the abundance of Proteobacteria and Bacteroidetes, is observed in PD-related constipation. Conventional treatments, although safe, have failed to effectively alleviate symptoms, thereby necessitating the development of novel therapeutic strategies. Microbiological interventions such as prebiotics, probiotics, and fecal microbiota transplantation (FMT) hold therapeutic potential. While prebiotics improve bowel movements, probiotics are effective in enhancing stool consistency and alleviating abdominal discomfort. FMT shows potential for significantly alleviating constipation symptoms by restoring gut microbiota balance in patients with PD. Despite promising developments, the causal relationship between changes in gut microbiota and PD-related constipation remains elusive, highlighting the need for further research in this expanding field.

Falling incidence of Parkinson's disease in Germany

BACKGROUND AND PURPOSE

Idiopathic Parkinson's disease (IPD) is a progressive neurodegenerative disorder that is strongly associated with age. The aim of the present study was to describe current sex- and age-specific trends and regional differences in the incidence of IPD diagnosed in older people in Germany.

METHODS

This study was based on nationwide outpatient claims and drug prescription data from the German Statutory Health Insurance, covering approximately 87% of the general population. We conducted a cohort study in patients aged 50 years or older with observation time of at least 4 years. To assess the robustness of nationwide annual IPD incidence trends from 2013 to 2019, three case definitions with varying levels of stringency regarding coded outpatient diagnoses and drug prescriptions were applied.

RESULTS

In 2019, the population at risk comprised 30,575,726 persons. Using the primary and most specific case definition, annual age- and sex-standardized cumulative IPD incidence decreased stepwise from 137 (2013) to 106 (2019) new cases per 100,000 persons. The decline in incidence was seen in both sexes, in all age groups and in the majority of German regions. The relative decrease (2013-2019) in the annual age- and sex-standardized IPD incidence varied from 23% to 28% among case definitions.

CONCLUSION

Our findings indicate a nationwide decline in the age- and sex-standardized incidence of IPD from 2013 to 2019 in Germany. This trend was consistent using different case definitions. Further research is needed to elucidate the factors underlying this trend.

Association between Sleep Factors and Parkinson's Disease: A Prospective Study Based on 409,923 UK Biobank Participants

INTRODUCTION

Limited evidence indicates an association between sleep factors and the risk of Parkinson's disease (PD). However, large prospective cohort studies including both sexes are needed to verify the association between daytime sleepiness, sleep duration, and PD risk. Furthermore, other sleep factors like chronotype and snoring and their impact on increased PD risk should be explored by simultaneously considering daytime sleepiness and snoring.

METHODS

This study included 409,923 participants from the UK Biobank. Data on five sleep factors (chronotype, sleep duration, sleeplessness/insomnia, snoring, and daytime sleepiness) were collected using a standard self-administered questionnaire. PD occurrence was identified using linkages with primary care, hospital admission, death register, or self-report. Cox proportional hazard models were used to investigate the association between sleep factors and PD risk. Subgroup (age and sex) and sensitivity analyses were performed.

RESULTS

During a median follow-up of 11.89 years, 2,158 incident PD cases were documented. The main association analysis showed that prolonged sleep duration (hazard ratio [HR]: 1.20, 95% confidence interval [CI]: 1.05, 1.37) and occasional daytime sleepiness (HR: 1.15, 95% CI: 1.04, 1.26) increased the PD risk. Compared to those who self-reported never or rarely having sleeplessness/insomnia, participants who reported usually having sleeplessness/insomnia had a decreased risk of PD (HR: 0.85, 95% CI: 0.75, 0.96). Subgroup analysis revealed that women who self-reported no snoring had a decreased PD risk (HR: 0.85; 95% CI: 0.73, 0.99). Sensitivity analyses indicated that the robustness of the results was affected by potential reverse causation and data completeness.

CONCLUSION

Long sleep duration increased the PD risk, especially among men and participants ≥60 years, while snoring increased the risk of PD in women. Additional studies are needed to (i) further consider other sleep traits (e.g., rapid eye movement sleep behavior disorder and sleep apnea) that might be related to PD, (ii) objectively measure sleep-related exposure, and (iii) confirm the effects of snoring on PD risk by considering the impact of obstructive sleep apnea and investigating its underlying mechanisms.

Comparative effect of metformin versus sulfonylureas with dementia and Parkinson's disease risk in US patients over 50 with type 2 diabetes mellitus

INTRODUCTION

Type 2 diabetes is a risk factor for dementia and Parkinson's disease (PD). Drug treatments for diabetes, such as metformin, could be used as novel treatments for these neurological conditions. Using electronic health records from the USA (OPTUM EHR) we aimed to assess the association of metformin with all-cause dementia, dementia subtypes and PD compared with sulfonylureas.

RESEARCH DESIGN AND METHODS

A new user comparator study design was conducted in patients ≥50 years old with diabetes who were new users of metformin or sulfonylureas between 2006 and 2018. Primary outcomes were all-cause dementia and PD. Secondary outcomes were Alzheimer's disease (AD), vascular dementia (VD) and mild cognitive impairment (MCI). Cox proportional hazards models with inverse probability of treatment weighting (IPTW) were used to estimate the HRs. Subanalyses included stratification by age, race, renal function, and glycemic control.

RESULTS

We identified 96 140 and 16 451 new users of metformin and sulfonylureas, respectively. Mean age was 66.4±8.2 years (48% male, 83% Caucasian). Over the 5-year follow-up, 3207 patients developed all-cause dementia (2256 (2.3%) metformin, 951 (5.8%) sulfonylurea users) and 760 patients developed PD (625 (0.7%) metformin, 135 (0.8%) sulfonylurea users). After IPTW, HRs for all-cause dementia and PD were 0.80 (95% CI 0.73 to 0.88) and 1.00 (95% CI 0.79 to 1.28). HRs for AD, VD and MCI were 0.81 (0.70-0.94), 0.79 (0.63-1.00) and 0.91 (0.79-1.04). Stronger associations were observed in patients who were younger (<75 years old), Caucasian, and with moderate renal function.

CONCLUSIONS

Metformin users compared with sulfonylurea users were associated with a lower risk of all-cause dementia, AD and VD but not with PD or MCI. Age and renal function modified risk reduction. Our findings support the hypothesis that metformin provides more neuroprotection for dementia than sulfonylureas but not for PD, but further work is required to assess causality.

Gut Microbiota: A Novel Therapeutic Target for Parkinson’s Disease

Parkinson’s disease (PD) is the second most common neurodegenerative disease characterized by motor dysfunction. Growing evidence has demonstrated that gut dysbiosis is involved in the occurrence, development and progression of PD. Numerous clinical trials have identified the characteristics of the changed gut microbiota profiles, and preclinical studies in PD animal models have indicated that gut dysbiosis can influence the progression and onset of PD via increasing intestinal permeability, aggravating neuroinflammation, aggregating abnormal levels of α-synuclein fibrils, increasing oxidative stress, and decreasing neurotransmitter production. The gut microbiota can be considered promising diagnostic and therapeutic targets for PD, which can be regulated by probiotics, psychobiotics, prebiotics, synbiotics, postbiotics, fecal microbiota transplantation, diet modifications, and Chinese medicine. This review summarizes the recent studies in PD-associated gut microbiota profiles and functions, the potential roles, and mechanisms of gut microbiota in PD, and gut microbiota-targeted interventions for PD. Deciphering the underlying roles and mechanisms of the PD-associated gut microbiota will help interpret the pathogenesis of PD from new perspectives and elucidate novel therapeutic strategies for PD.