Correlation between clinical and tomographic variables in patients with neurocysticercosis. A study in a cohort of patients in Sierra Norte, Ecuador, between 2019 and 2020
Abstract:
INTRODUCTION: Neurocysticercosis (NCC) is the most frequent parasitic disease in the central nervous system of humans. OBJECTIVE: to establish the correlation between clinical and tomographic variables in patients with neurocysticercosis in the neurology consultation of Hospital San Vicente de Paul and Hospital IESS Ibarra, during the year 2020. PATIENTS AND METHODS: descriptive, correlational and cross-sectional research. POPULATION AND SAMPLE: 93 patients. The information was collected in the neurology consultation. Clinical and imaging criteria were used for diagnosis. Odds Ratio (OR; 95% CI) was calculated. For multivariate analysis, binary logistic regression models were used. Statistical significance was considered when the value of p <0.05. SYMPTOMS: headache (77.4%), epilepsy (41.9%). Tomographic findings: size < 1 cm (67.7%), single lesion (54.8%), supratentorial (93.5%). There were several clinical / tomographic correlations in the bivariate analysis, the presence of epilepsy was associated with lesions of size >1 cm (OR: 9.65; 95% CI: 3.48-26.7), the vesicular + ventricular colloidal stage + nodular (OR: 3.90; 95% CI: 1.64-9.28) and parenchymal topography (OR: 5.03; 95% CI: 2.03-12.4) (p < 0.05). In the multivariate analysis, epilepsy was not associated with tomographic aspects such as the size, stage and topography of the cysticerci (p < 0.05). Headache and reduced muscle strength were associated with parenchymal topography and stage of lesions respectively (p < 0.05). CONCLUSIONS: Despite having a wide clinical spectrum, the presence of epilepsy, headache, and reduced muscle strength seem to be the most representative manifestations, so their inclusion in the development of prognostic scores should be evaluated, which allow evaluating the approach diagnostic and evolutionary in subsequent research.
Año de publicación:
2022
Keywords:
Fuente:
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Tipo de documento:
Article
Estado:
Acceso restringido
Áreas de conocimiento:
- Neurología
- Epidemiología
Áreas temáticas:
- Enfermedades
- Medicina y salud