RESUMEN
Short-term VEEG represents an affordable option in limited resources environments. There are few reports on its use. Its diagnostic yield is variable (7-57%) and can be related to the differences in recording time. The present study analyzes possible predictive factors to support the indication of a short-term VEEG. We analyzed short-term VEEG studies (<24 h) throughout a period of 5 years (2013-2017). The patients were clustered according to the date of last epileptic seizure and the frequency of epileptic events per month and subcategorized depending on the frequency found. Chi square univariate analysis was performed looking for predictive variables to obtain an epileptic short-term EEG. A multivariate logistic regression analysis was performed with statistically significant variables. A total of 1092 VEEG were analyzed from 832 patients. 34.5% were reported as epileptic VEEG. In the multivariate analysis, 3 predictors of epileptic short-term VEEG were identified: The use of 2 or more antiepileptic drugs (AEDs) (OR 1.67, CI 1.23-2.25, p = 0.001), the presence of an epileptic event in the last month (OR 1.53, CI 1.07-2.17, p = 0.018) and daily seizures (OR 1.84, CI 1.21-2.78, p = 0.004). Six-month seizure free subjects predict a non-epileptic VEEG (OR 0.58, CI 0.30-0.89, p = 0.013).
Asunto(s)
Electroencefalografía/métodos , Epilepsia/diagnóstico , Monitoreo Ambulatorio/métodos , Monitorización Neurofisiológica/métodos , Convulsiones/diagnóstico , Grabación en Video , Adolescente , Adulto , Femenino , Humanos , América Latina , Masculino , Persona de Mediana Edad , Análisis MultivarianteRESUMEN
OBJECTIVE: To study the effect of postoperative complications (POC) on overall survival (OS) and disease-free survival (DFS) after surgical resection of colorectal liver metastases (CRLM). SUMMARY BACKGROUND DATA: Morbidity rates after liver resection can reach 45%. The negative impact of POC on oncologic outcomes has been reported in various types of cancer, especially colorectal. However, data on the consequences of POC after CRLM resection on long-term survival are scarce. METHODS: Eligible studies examining the association between POC after CRLM resection and OS/DFS were sought using the PubMed and Web of Science databases. A random-effects model was used to calculate pooled effect estimate for OS and DFS hazard ratios (HR), estimating between-study variance with restricted maximum likelihood estimator with Hartung-Knapp adjustment. Subgroup analysis was used to control the effect of POC on OS and DFS for: 1) Method used to define postoperative complications, 2) Exclusion of early postoperative death from survival analysis, 3) Method of data extraction used, and 4) Tumor and treatment characteristics. RESULTS: Forty-one studies were deemed eligible, including 12,817 patients. POC patients had a significant risk of reduced OS compared with no POC group (HR 1.43 [95% CI: 1.3, 1.57], P < 0.0001). POC had also a negative impact on DFS. The HR for reduced DFS was 1.38 [95% CI 1.27, 1.49], P < 0.0001. The negative impact of POC on survival and recurrence was confirmed in subgroup analysis. CONCLUSIONS: Our findings evidence the negative impact of POC on survival and recurrence after CRLM resection.