Refractory Open Jaw Oromandibular Tardive Dystonia with a Sensory Trick, Treated with Botulinum Toxin: A Case Report
NEUROLOGY INDIA
Authors: Shalash, Ali S.; Abushouk, Abdelrahman Ibrahim; Elsherbeny, Mohammed Yasser; Elrassas, Hanan; Kamel, Taha
Abstract
Jaw-opening oromandibular dystonia (O-OMD) is a clinical subtype of OMD, commonly resistant to treatment. Here, we report a distinct case of tardive O-OMD with a characteristic sensory trick, successfully treated with high-dose botulinum toxin (BTX) injection. A 34-year-old male patient presented with involuntary jaw opening, tongue protrusion, dysarthria, and mild cervical dystonia. The patient reported improved abilities to talk and close his mouth after putting something, like a cigarette, between his teeth. After an unsuccessful treatment with anticholinergic medications, the patient received electromyography-guided BTX injection to the lateral pterygoids (through an extraoral approach), sternocleidomastoids, trapezius, tongue, and platysma muscles. Following the injection, the patient reported marked improvements in his ability to talk and close his mouth without using his sensory trick. One month later, we detected a 58.2% improvement in the Abnormal Involuntary Movement Scale score. Therefore, high-dose BTX injection may be an effective alternative in refractory O-OMD.
Calibration models for the nutritional quality of fresh pastures by near-infrared reflectance spectroscopy
CIENCIA E INVESTIGACION AGRARIA
Authors: Lobos, Iris; Moscoso, Cristian J.; Pavez, Paula
Abstract
High levels of animal performance and health depend on high-quality nutrition. Determining forage quality both reliably and quickly is essential for improving animal production. The present study describes the use of near infrared reflectance spectroscopy (NIRS) for the quantification of nutritional quality (dry matter (DM), water-soluble carbohydrates (WSC), crude protein (CP), in vitro dry matter digestibility (DMD), organic matter digestibility (OMD), neutral detergent fiber (NDF) and the WSC/CP ratio) in samples from fresh pastures in southern Chile (39 degrees to 40 degrees S). Calibration models were developed with wet chemistry and NIRS spectral data using partial least squares regression (PLSR). The coefficients of determination in the validation set ranged between 0.69 and 0.93, and the error of prediction varied from 0.064 to 2.89. The evaluation of the model confirmed the high predictive ability of NIRS for DM and CP and its low predictive ability for DMD, OMD, NDF and the WSC/CP ratio. It was not possible to obtain a model for WSC because it would have required an increased number of samples to improve the spectral variability and the R-2 value (>80%).