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ObjectiveCharacteristic features of Parkinson's disease (PD) are asymmetric parkinsonian motor signs, hyposmia and substantia nigra (SN) hyperechogenicity on transcranial ultrasound. However, each of these features has limited diagnostic value as they may be present, albeit less frequently, in other parkinsonian disorders. Here, the diagnostic sensitivity and specificity of combined assessment of these three features are evaluated.Methods632 patients with parkinsonism (PD, vascular parkinsonism, atypical parkinsonian syndromes, essential tremor and major depressive disorder with motor slowing) were assessed on the Unified Parkinson's disease Rating Scale for motor asymmetry (right–left score difference ≥2), the 12 item Sniffin' Sticks test (SS-12) and transcranial ultrasound. The derivation (validation) cohort consisted of 517 (115) subjects (193 (35) women; age 65.4±9.6 (62.3±10.3) years) of whom 385 (68) had PD and 132 (47) non-PD parkinsonism; another 21 (6) subjects were not included due to missing transcranial insonability. Of the validation cohort, all patients had a disease duration ≤2 years and observers were blind to diagnoses.ResultsThe optimum cut-off values for discrimination of PD were SS-12 score <8 (hyposmia) and SN echogenic size ≥0.24 cm2 (SN hyperechogenicity). Sensitivity, specificity and positive predictive values for the diagnosis of PD were as follows, for the derivation cohort: motor asymmetry 88%, 54% and 85%; hyposmia 75%, 70% and 88%; SN hyperechogenicity 90%, 63% and 88%; two features present 96%, 72% and 91%; three features present 57%, 94% and 97%; and for the validation cohort: two features present 91%, 77% and 85%; three features present 49%, 98% and 97%.ConclusionThe combined assessment of motor asymmetry, hyposmia and SN hyperechogenicity improves diagnostic specificity and allows early diagnosis of PD.

The detection of Parkinson’s disease (PD) at stages earlier than current diagnostic criteria allow for may increase the efficacy of disease-modifying therapies. Here we studied the relationship between retrospectively reported prodromal non-motor and motor features of PD, their pre-diagnostic presentation to physicians, and the extrapolated potential of an earlier diagnosis of PD considering early diagnostic markers detected at presence. One hundred and fifteen PD patients (41 women; age 63.2 ± 8.6 years) underwent a structured face-to-face interview on 22 prediagnostic symptoms. Present olfactory function, motor symptoms, and substantia nigra hyperechogenicity (SN-h) were assessed using standardized tools. Most frequently self-perceived symptoms in the early and very early prediagnostic phase (>2, >7 years prior to diagnosis) were hyposmia (23, 10 %), musculoskeletal pain (21, 9 %), and depression/anxiety (14, 11 %). In the late prediagnostic phase (≤2 years) mild motor signs, especially asymmetric bradykinesia and rest tremor, increasingly dominated the self-perception. In the prediagnostic phase, 99 % of patients consulted a physician because of motor symptoms but only 36 % with non-motor symptoms, mostly pain (20 %), depression/anxiety (9 %), constipation, bladder urgency, insomnia, REM sleep behaviour disorder, sexual dysfunction, and malignant melanoma (each, <6 %). Assuming the potential detectability of present hyposmia, asymmetric motor slowing and SN-h, a triad highly specific for PD, as early as 5 years prior to diagnosis, up to 84 (73 %) patients could have been identified in the prediagnostic phase using their or their physicians’ awareness of early symptoms. We conclude that educating the general population and physicians on the importance of distinct prodromal features and applying symptom-specific diagnostic programs can improve the early detection of PD.

Innovations of agricultural suppliers, producers and retailers are directly or indirectly shaping sustainability within the agro food web. If sustainable innovations targeted at the key challenges agriculture is facing worldwide, such as food security, climate change, sustainable use of natural resources etc. should be promoted, knowledge about current innovation processes is needed to reveal mechanisms that allow for promoting sustainable agricultural innovations. In this paper we present the development of an analytical framework to study agricultural innovation systems. We divide the agricultural sector into four levels and expand the innovation system approach (Malerba 2002 and 2004, Koschatzky 2009) to study innovation processes. On the example of the role of farmers and extension services in agricultural innovation processes we demonstrate the adequateness of the approach and give detailed insight into the later stages of the innovation process, where barriers occur most in the German agricultural innovation system.