NEU Screen Shows High Accuracy in Detecting Cognitive Impairment in Older Persons Living With HIV.

The NEUrocognitive (NEU) Screen is a practical tool proposed to screen for HIV-associated cognitive impairment in the clinical setting. This is a pencil-and-paper method that can be applied rapidly (≤10 minutes for administration) and has no copyright limitations. In this study, we aimed at investigating its diagnostic accuracy in an older population of persons living with HIV (PLWH), with cutoffs set at 30, 40, 50, and 60 years. Data were collected from a sample of 368 PLWH who underwent a comprehensive neuropsychological tests battery (gold standard). Results of statistical tests showed that accuracy of the NEU Screen increased with age of the participants. The highest degree of precision, with a sensitivity of 91% and specificity of 92%, was obtained for people ages 60 years or older (correct classification: 91%). These optimal results point to the great potential of the NEU Screen as a tool for detecting cognitive disorders in older PLWH.

Classification models for neurocognitive impairment in HIV infection based on demographic and clinical variables.

OBJECTIVE: We used demographic and clinical data to design practical classification models for prediction of neurocognitive impairment (NCI) in people with HIV infection. METHODS: The study population comprised 331 HIV-infected patients with available demographic, clinical, and neurocognitive data collected using a comprehensive battery of neuropsychological tests. Classification and regression trees (CART) were developed to obtain detailed and reliable models to predict NCI. Following a practical clinical approach, NCI was considered the main variable for study outcomes, and analyses were performed separately in treatment-naïve and treatment-experienced patients. RESULTS: The study sample comprised 52 treatment-naïve and 279 experienced patients. In the first group, the variables identified as better predictors of NCI were CD4 cell count and age (correct classification [CC]: 79.6%, 3 final nodes). In treatment-experienced patients, the variables most closely related to NCI were years of education, nadir CD4 cell count, central nervous system penetration-effectiveness score, age, employment status, and confounding comorbidities (CC: 82.1%, 7 final nodes). In patients with an undetectable viral load and no comorbidities, we obtained a fairly accurate model in which the main variables were nadir CD4 cell count, current CD4 cell count, time on current treatment, and past highest viral load (CC: 88%, 6 final nodes). CONCLUSION: Practical classification models to predict NCI in HIV infection can be obtained using demographic and clinical variables. An approach based on CART analyses may facilitate screening for HIV-associated neurocognitive disorders and complement clinical information about risk and protective factors for NCI in HIV-infected patients.

A brief and feasible paper-based method to screen for neurocognitive impairment in HIV-infected patients: the NEU screen.

OBJECTIVE: Practical screening methods are necessary to detect neurocognitive impairment (NCI) in HIV-infected patients. We aimed to find a brief and feasible paper-based tool to facilitate the diagnosis of an HIV-associated neurocognitive disorder. METHODS: A total of 106 HIV-infected outpatients with variable clinical characteristics were recruited in a multicenter investigation. NCI was diagnosed using a standardized neuropsychological tests battery (7 areas, 21 measures, ∼2 hours). Multiple score combinations were compared to find a paper-based method that took ≤10 minutes to apply. The presence of NCI was considered the gold standard for comparisons, and the sensitivity and specificity were calculated. RESULTS: Subjects were mostly middle-aged (median, 44 years) men (87%) on antiretroviral treatment. NCI was detected in 51 individuals (48%) and was associated with lower nadir CD4 count (P < 0.001), receiving antiretroviral therapy (P = 0.004), fewer years of education (P = 0.009), and presence of comorbidities (P < 0.001). The score combination that showed the highest sensitivity (74.5%) and specificity (81.8%) detecting NCI included 3 measures of attention/working memory, executive functioning, and verbal fluency (part A of Trail Making Test, part B of Trail Making Test, and Controlled Oral Word Association Test scores). A broader paper-based selection of measures covering 7 areas indicated a sensitivity of 100% and a specificity of 96.3% (7 measures, ∼35 minutes). CONCLUSIONS: The combination of the 3 measures presented in this study seems to be a rapid and feasible screening mean for NCI in HIV-infected patients. This approach, combined with screening for potential comorbidities and daily functioning interference, could help in the initial stages of a HIV-associated neurocognitive disorder diagnosis and in settings with limited access to neuropsychological resources.

[Malignant otitis externa. Our experience]. / Otitis externa maligna. Nuestra experiencia.

Malignant otitis externa is a devastating disease that poses a diagnostic and therapeutic challenge. The objective of our study was to demonstrate the importance of detailed clinical analysis and to provide an update on the current diagnostic and therapeutic tools available.