Alastair J. Noyce

Meta-analysis of early nonmotor features and risk factors for Parkinson disease.

To evaluate the association between diagnosis of Parkinson disease (PD) and risk factors or early symptoms amenable to population‐based screening.

Prediagnostic presentations of Parkinson's disease in primary care: a case-control study

BACKGROUND Parkinsons disease has an insidious onset and is diagnosed when typical motor features occur. Several motor and non-motor features can occur before diagnosis, early in the disease process. We aimed to assess the association between first presentation of several prediagnostic features in primary care and a subsequent diagnosis of Parkinsons disease, and to chart the timeline of these first presentations before diagnosis. METHODS We identified individuals with a first diagnosis of Parkinsons disease and those without Parkinsons disease from Jan 1, 1996, to Dec 31, 2012, from The Health Improvement Network UK primary care database. Codes were extracted for a range of possible prediagnostic or early symptoms, comprising motor features (tremor, rigidity, balance impairments, neck pain or stiffness, and shoulder pain or stiffness), autonomic features (constipation, hypotension, erectile dysfunction, urinary dysfunction, and dizziness), neuropsychiatric disturbances (memory problems, late-onset anxiety or depression, cognitive decline, and apathy), and additional features (fatigue, insomnia, anosmia, hypersalivation and rapid-eye-movement sleep behaviour disorder) in the years before diagnosis. We report the incidence of symptoms recorded in more than 1% of cases per 1000 person-years and incidence risk ratios (RRs) for individuals with and without Parkinsons disease at 2, 5, and 10 years before diagnosis. FINDINGS 8166 individuals with and 46,755 individuals without Parkinsons disease were included in the study. Apathy, REM sleep behaviour disorder, anosmia, hypersalivation, and cognitive decline were all reported in less than 1% of people per 1000 person-years and were excluded from further analyses. At 2 years before Parkinsons disease diagnosis, the incidence of all studied prediagnostic features except neck pain or stiffness was higher in patients who went on to develop Parkinsons disease (n=7232) than in controls (n=40,541). At 5 years before diagnosis, compared with controls (n=25,544), patients who went on to develop Parkinsons disease (n=4769) had a higher incidence of tremor (RR 13·70, 95% CI 7·82-24·31), balance impairments (2·19, 1·09-4·16), constipation (2·24, 2·04-2·46), hypotension (3·23, 1·85-5·52), erectile dysfunction (1·30, 1·11-1·51), urinary dysfunction (1·96, 1·34-2·80), dizziness (1·99, 1·67-2·37), fatigue (1·56, 1·27-1·91), depression (1·76, 1·41-2·17), and anxiety (1·41, 1·09-1·79). At 10 years before diagnosis of Parkinsons disease, the incidence of tremor (RR 7·59, 95% CI 1·11-44·83) and constipation (2·01, 1·62-2·49) was higher in those who went on to develop Parkinsons disease (n=1680) than in controls (n=8305). INTERPRETATION A range of prediagnostic features can be detected several years before diagnosis of Parkinsons disease in primary care. These data can be incorporated into ongoing efforts to identify individuals at the earliest stages of the disease for inclusion in future trials and to help understand progression in the earliest phase of Parkinsons disease. FUNDING Parkinsons UK.

Parkinson's disease in GTP cyclohydrolase 1 mutation carriers

Mutations in the gene encoding the dopamine-synthetic enzyme GTP cyclohydrolase-1 (GCH1) cause DOPA-responsive dystonia (DRD). Mencacci et al. demonstrate that GCH1 variants are associated with an increased risk of Parkinsons disease in both DRD pedigrees and in patients with Parkinsons disease but without a family history of DRD.

Diagnosis of Parkinson's disease on the basis of clinical and genetic classification: a population-based modelling study

BACKGROUND Accurate diagnosis and early detection of complex diseases, such as Parkinsons disease, has the potential to be of great benefit for researchers and clinical practice. We aimed to create a non-invasive, accurate classification model for the diagnosis of Parkinsons disease, which could serve as a basis for future disease prediction studies in longitudinal cohorts. METHODS We developed a model for disease classification using data from the Parkinsons Progression Marker Initiative (PPMI) study for 367 patients with Parkinsons disease and phenotypically typical imaging data and 165 controls without neurological disease. Olfactory function, genetic risk, family history of Parkinsons disease, age, and gender were algorithmically selected by stepwise logistic regression as significant contributors to our classifying model. We then tested the model with data from 825 patients with Parkinsons disease and 261 controls from five independent cohorts with varying recruitment strategies and designs: the Parkinsons Disease Biomarkers Program (PDBP), the Parkinsons Associated Risk Study (PARS), 23andMe, the Longitudinal and Biomarker Study in PD (LABS-PD), and the Morris K Udall Parkinsons Disease Research Center of Excellence cohort (Penn-Udall). Additionally, we used our model to investigate patients who had imaging scans without evidence of dopaminergic deficit (SWEDD). FINDINGS In the population from PPMI, our initial model correctly distinguished patients with Parkinsons disease from controls at an area under the curve (AUC) of 0·923 (95% CI 0·900-0·946) with high sensitivity (0·834, 95% CI 0·711-0·883) and specificity (0·903, 95% CI 0·824-0·946) at its optimum AUC threshold (0·655). All Hosmer-Lemeshow simulations suggested that when parsed into random subgroups, the subgroup data matched that of the overall cohort. External validation showed good classification of Parkinsons disease, with AUCs of 0·894 (95% CI 0·867-0·921) in the PDBP cohort, 0·998 (0·992-1·000) in PARS, 0·955 (no 95% CI available) in 23andMe, 0·929 (0·896-0·962) in LABS-PD, and 0·939 (0·891-0·986) in the Penn-Udall cohort. Four of 17 SWEDD participants who our model classified as having Parkinsons disease converted to Parkinsons disease within 1 year, whereas only one of 38 SWEDD participants who were not classified as having Parkinsons disease underwent conversion (test of proportions, p=0·003). INTERPRETATION Our model provides a potential new approach to distinguish participants with Parkinsons disease from controls. If the model can also identify individuals with prodromal or preclinical Parkinsons disease in prospective cohorts, it could facilitate identification of biomarkers and interventions. FUNDING National Institute on Aging, National Institute of Neurological Disorders and Stroke, and the Michael J Fox Foundation.

Constipation preceding Parkinson's disease: a systematic review and meta-analysis

Objective To systematically review published literature to estimate the magnitude of association between premorbid constipation and later diagnosis of Parkinsons disease. Background Constipation is a recognised non-motor feature of Parkinson’s and has been reported to predate diagnosis in a number of observational studies. Methods A systematic review and meta-analysis was carried out following the Meta-analysis Of Observational Studies in Epidemiology (MOOSE) criteria. A literature search was undertaken in December 2014 using PubMed and the search terms ‘Parkinsons disease’ and ‘constipation’. Articles were screened for suitability and reviewed against inclusion and exclusion criteria. Studies were included if they assessed constipation by means of a structured questionnaire or if constipation/drugs used to treat constipation were coded in patient medical records. Data were extracted using a standardised template and effect size estimates combined using a fixed-effects model. Heterogeneity was explored with the I2 statistic. Results 9 studies were included in the meta-analysis, with a combined sample size of 741 593 participants. Those with constipation had a pooled OR of 2.27 (95% CI 2.09 to 2.46) for developing subsequent Parkinson’s disease compared with those without constipation. Weak evidence for heterogeneity was found (I2=18.9%, p=0.282). Restricting analysis to studies assessing constipation more than 10 years prior to Parkinson’s disease gave a pooled OR of 2.13 (95% CI 1.78 to 2.56; I2=0.0%). Conclusions This systematic review and meta-analysis demonstrates that people with constipation are at a higher risk of developing Parkinson’s disease compared with those without and that constipation can predate Parkinson’s diagnosis by over a decade.

Stiff person syndrome

Stiff person syndrome (SPS) is a rare disorder, characterised by fluctuating rigidity and stiffness of the axial and proximal lower limb muscles, with superimposed painful spasms and continuous motor unit activity on electromyography. Although rare in general neurology practice, once observed it is unforgettable. The general neurologist may see only one or two cases during his or her career and as such it remains underdiagnosed. Left untreated, SPS symptoms can progress to cause significant disability. Patients have a poor quality of life and an excess rate of comorbidity and mortality. The severity of symptoms and lack of public awareness of the condition create anxiety and uncertainty for people with the disease. This review aims to raise awareness of SPS and to improve the likelihood of its earlier diagnosis and treatment.

Bone health in Parkinson's disease: a systematic review and meta-analysis

Objective Parkinsons disease (PD) and osteoporosis are chronic diseases associated with increasing age. Single studies have reported associations between them and the major consequence, namely, increased risk of fractures. The aim of this systematic review and meta-analysis was to evaluate the relationship of PD with osteoporosis, bone mineral density (BMD) and fracture risk. Methods A literature search was undertaken on 4 September 2012 using multiple indexing databases and relevant search terms. Articles were screened for suitability and data extracted where studies met inclusion criteria and were of sufficient quality. Data were combined using standard meta-analysis methods. Results 23 studies were used in the final analysis. PD patients were at higher risk of osteoporosis (OR 2.61; 95% CI 1.69 to 4.03) compared with healthy controls. Male patients had a lower risk for osteoporosis and osteopenia than female patients (OR 0.45; 95% CI 0.29 to 0.68). PD patients had lower hip, lumbar spine and femoral neck BMD levels compared with healthy controls; mean difference, −0.08, 95% CI −0.13 to −0.02 for femoral neck; −0.09, 95% CI −0.15 to −0.03 for lumbar spine; and −0.05, 95% CI −0.07 to −0.03 for total hip. PD patients were also at increased risk of fractures (OR 2.28; 95% CI 1.83 to 2.83). Conclusions This systematic review and meta-analysis demonstrate that PD patients are at higher risk for both osteoporosis and osteopenia compared with healthy controls, and that female patients are at greater risk than male patients. Patients with PD also have lower BMD and are at increased risk of fractures.

Abnormality of taste and smell in Parkinson's disease

BACKGROUND Smell sense is impaired in classic Parkinsons disease (PD). An initial study found no change in taste threshold in non-demented PD subjects and pathological studies suggest that the first relay for taste, the nucleus of the solitary tract, is spared. We wished to determine if taste is abnormal in PD and whether it is associated with smell dysfunction. METHODS Taste threshold was estimated using the Rion electrogustometer and olfaction by the University of Pennsylvania Smell Identification Test (UPSIT) in 75 non-demented PD patients and 74 controls. RESULTS There was a significant impairment of taste threshold and severe disorder of smell identification in the PD group. Age, duration of symptoms, disability, and smoking had no important effect on threshold measurement and there was no correlation between taste and smell dysfunction. Sensitivity analysis suggested that a provisional diagnosis of PD would be confirmed if smell or taste were abnormal; conversely, the diagnosis would merit review if both modalities were normal. CONCLUSIONS Impaired taste appreciation was found in about 27% of patients with clinically defined PD. There were no important effects from age, disease severity or smell sense. Given the sparing of the first and second order taste neurones in PD, disorder of taste in PD most likely signifies involvement of the frontal operculum or orbitofrontal cortex, in keeping with advanced disease, although confounding by drug effects and changes in salivary constitution could not be excluded completely.

Challenges of modifying disease progression in prediagnostic Parkinson's disease.

Neurodegeneration in Parkinsons disease starts years before a clinical diagnosis can be reliably made. The prediagnostic phase of the disease offers a window of opportunity in which disease-modifying therapies-ie, those aimed at delaying or preventing the progression to overt disease and its many complications-could be most beneficial, but no such therapies are available at present. The unravelling of the mechanisms of neurodegeneration from the earliest stages, however, could lead to the development of new interventions whose therapeutic potential will need to be assessed in adequately designed clinical trials. Advances in the understanding of this prediagnostic phase of Parkinsons disease (for which the clinical diagnostic and prognostic markers used in more advanced disease stages are not applicable) will lead to the identification of biomarkers of neurodegeneration and its progression. These biomarkers will, in turn, help to identify the optimum population to be included and the most appropriate outcomes to be assessed in trials of disease-modifying drugs. Potential risks to minimally symptomatic participants, some of whom might not progress to manifest Parkinsons disease, and individuals who do not wish to know their mutation carrier status, could pose specific ethical dilemmas in the design of these trials.

The prediagnostic phase of Parkinson's disease

The field of prediagnostic Parkinsons disease (PD) is fast moving with an expanding range of clinical and laboratory biomarkers, and multiple strategies seeking to discover those in the earliest stages or those ‘at risk’. It is widely believed that the highest likelihood of securing neuroprotective benefit from drugs will be in these subjects, preceding current point of diagnosis of PD. In this review, we outline current knowledge of the prediagnostic phase of PD, including an up-to-date review of risk factors (genetic and environmental), their relative influence, and clinical features that occur prior to diagnosis. We discuss imaging markers across a range of modalities, and the emerging literature on fluid and peripheral tissue biomarkers. We then explore current initiatives to identify individuals at risk or in the earliest stages that might be candidates for future clinical trials, what we are learning from these initiatives, and how these studies will bring the field closer to realistically commencing primary or secondary preventive trials for PD. Further progress in this field hinges on greater clinical and biological description, and understanding of the prediagnostic, peridiagnostic and immediate postdiagnostic stages of PD. Identifying subjects 3–5 years before they are currently diagnosed may be an ideal group for neuroprotective trials. At the very least, these initiatives will help clarify the stage before and around diagnosis, enabling the field to push into unchartered territory at the earliest stages of disease.