Objective: The diagnosis of neurocysticercosis (NCC) remains problematic because of the heterogeneity of its clinical, immunological, and imaging characteristics. Our aim was to develop and assess a new set of diagnostic criteria for NCC, which might allow for the accurate detection of, and differentiation between, parenchymal and extraparenchymal disease. Methods: A group of Latin American NCC experts developed by consensus a new set of diagnostic criteria for NCC. A multicenter, retrospective study was then conducted to validate it. The reference standard for diagnosis of active NCC was the disappearance or reduction of cysts after anthelmintic treatment. In total, three pairs of independent neurologists blinded to the diagnosis evaluated 93 cases (with NCC) and 93 controls (without NCC) using the new diagnostic criteria. Mixed-effects logistic regression models were used to estimate sensitivity and specificity. Results: Inter-rater reliability (kappa) of diagnosis among evaluators was 0.60. For diagnosis of NCC versus no NCC, the new criteria had a sensitivity of 93.2% and specificity of 81.4%. For parenchymal NCC, the new criteria had a sensitivity of 89.8% and specificity of 80.7% and for extraparenchymal NCC, the new criteria had a sensitivity of 65.9% and specificity of 94.9%. Interpretation: These criteria have acceptable reliability and validity and could be a new tool for clinicians and researchers. An advantage of the new criteria is that they consider parasite location (ie, parenchymal or extraparenchymal), which is an important factor determining the clinical, immunological, and radiological presentation of the disease, and importantly, its treatment and prognosis.

Objective. +is study has been designed with the aim of using optimal scaling to perform the allocation of scores and to be able to construct an of the Parkinson’s Disease Gravity Index. Scores were assigned to interrelated dimensions that share information about the patient’s situation, to have an objective, holistic tool which integrates scores so that doctors can have a comprehensive idea of the patient’s situation. Patients and Methods. 120 consecutive patients with Parkinson’s diagnosis were chosen according to the United Kingdom Parkinson’s Disease Society Brain Bank criteria. Subsequently, all the chosen dimensions were transformed into interval variables for which the formula proposed by Sturges was used. Once the dimensions were transformed into interval variables, optimal scaling was carried out. Subsequently, the following attributes were analyzed: quality and acceptability of the data; reliability: internal consistency, reliability index, Cronbach’s alpha, and standard error of measurement; finally, validity: convergent validity and validity for known groups. Results. +ere were no missing data. An appropriate Cronbach’s alpha value of 0.71 was gathered, and all items were found to be pertinent to the scale. +e item homogeneity index was 0.36. Precision evaluated with the standard error of measurement was 7.8. +e Parkinson’s Disease Gravity Index discriminant validity (validity for known groups), assessed among the different stages of Hoehn and Yahr scale by the Kruskal–Wallis test, showed major significance (X2 � 32.7, p ≤ 0.001). Conclusions. +e Parkinson’s Disease Gravity Index has shown adequate metric properties..