Studies of the efficacy of topiramate (TPM) in infants and young children are few. Here we report an open, prospective, and pragmatic study of effectiveness of TPM in terms of epilepsy syndromes, in children aged less than 2 years. The median follow-up period was 11 months. We enrolled 59 children in the study: 22 affected by localization-related epilepsy (LRE), 23 by generalized epilepsy, six by Dravet's syndrome, and eight with unclassifiable epilepsy. TPM was effective (responders showed a decrease of more than 50% in seizure frequency) in 47% of patients, including 13% who were seizure-free at the last visit. TPM was more effective in localization-related epilepsy (48% of responders) than in generalized epilepsy (32% of responders). In the latter group, 19 patients suffered from infantile spasms. Four of six patients with cryptogenic infantile spasms became seizure-free. Of the 13 patients with symptomatic infantile spasms, only one was seizure-free. Results were poor for patients with Dravet's syndrome. In general, TPM was well tolerated. The most frequently reported adverse effects were drowsiness, irritability, hyperthermia, and anorexia. The present study concludes that TPM is effective for a broad range of seizures in infants and young children and represents a valid therapeutic option in this population.
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http://dx.doi.org/10.1016/j.seizure.2005.01.006 | DOI Listing |
Environ Int
December 2024
Agro-Environmental Protection Institute, Ministry of Agriculture and Rural Affairs, Key Laboratory of Original Agro-Environmental Pollution Prevention and Control, MARA, Tianjin and Tianjin Key Laboratory of Agro-Environment and Agro-Product Safety, Tianjin 300191, China. Electronic address:
The soil salinity and alkalinity play an important role in the occurrence and proliferation of antibiotic resistance genes (ARGs). Yet, little is known the underlying mechanism by which soil salinity and alkalinity affect antibiotic resistance evolution. Here we investigated the ARGs variation in soil salinity and alkalinity environments created by different fertilization, and explored the biological mechanisms that salinity and alkalinity alter the evolutionary paradigm of antibiotic resistance.
View Article and Find Full Text PDFFood Chem
December 2024
Department of Chemistry, College of Science, Hebei Agricultural University, Baoding 071001, China. Electronic address:
Sulfonamide antibiotics have a broad spectrum of antibacterial action and are widely used, but their overuse poses a threat to human health. In this study, a three-dimensional conjugated microporous polymer, which was designated as TPM-CMP, was synthesized via Friedel-Crafts reaction by using tetraphenylmethane (TPM) and biphenyl dichlorobenzene as monomers, and it was utilized as an adsorbent in solid-phase extraction (SPE) of sulfonamides. The TPM-CMP demonstrated high extraction efficiency for sulfonamides due to π-stacking interactions, hydrophobic forces, and pore-filling effects.
View Article and Find Full Text PDFNat Commun
December 2024
Institute of Pathology, Universitätsklinikum Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany.
Pathogenic activating mutations in the fibroblast growth factor receptor 3 (FGFR3) drive disease maintenance and progression in urothelial cancer. 10-15% of muscle-invasive and metastatic urothelial cancer (MIBC/mUC) are FGFR3-mutant. Selective targeting of FGFR3 hotspot mutations with tyrosine kinase inhibitors (e.
View Article and Find Full Text PDFJAACAP Open
December 2024
University of Cincinnati College of Medicine, Cincinnati, Ohio.
Objective: To evaluate the efficacy of adjunctive topiramate (TPM) for the treatment of cannabis use disorder in adolescents with bipolar I disorder.
Method: We conducted a 16-week, double-blind, randomized, placebo-controlled investigation of quetiapine plus TPM (median dose = 208 mg) vs quetiapine plus placebo in adolescents with bipolar I and cannabis use disorder. All subjects participated in a Motivational Interview and Compliance Enhancement Therapy.
PeerJ Comput Sci
November 2024
Department of Computer Science, College of Computer Engineering and Sciences, Prince Sattam Bin Abdulaziz University, Al-Kharj, Saudi Arabia.
Decision-making in many industries relies heavily on accurate forecasts, including the insurance sector. The Social Insurance System (SIS) in Egypt, operating under a fully funded paradigm, depends on reliable predictions to ensure effective financial planning. This research introduces a hybrid predictive model that combines fuzzy time series (FTS) Markov chains with the tree partition method (TPM) and difference transformation to forecast total pension benefits within Egypt's SIS.
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