PURPOSE: Due to the high percentage of affected pregnant women, it should be mandatory to evaluate glucose levels during pregnancy and there is a need for a continuous monitoring system.
METHODS: Herein, the investigators modified the interdigitated (di)electrodes (IDE) sensing surface to detect the glucose on covalently immobilized glucose oxidase (GOx) with the graphene. The characterization of graphene and gold nanoparticle (GNP) was performed by high-resolution microscopy.
RESULTS: Sensitivity was found to be 0.06 mg/mL and to enhance the detection, GOx was complexed with GNP. GNP-GOx was improved the sensitive detection twofold from 0.06 to 0.03 mg/mL, and it also displayed higher levels of current changes at all the concentrations of glucose that were tested. High-performance of the above IDE sensing system was attested by the specificity, reproducibility and higher sensitivity detections. Further, the linear regression analysis indicated the limit of detection to be between 0.02 and 0.03 mg/mL.
CONCLUSION: This study demonstrated the potential strategy with nanocomposite for diagnosing gestational diabetes mellitus.
METHODS: Sixteen computed tomography scan of SC patients (8 months-6 years old) were imported to Materialise Interactive Medical Image Control System (MIMICS) and Materialise 3-matics software. Three-dimensional (3D) OC models were fabricated, and linear measurements were obtained. Mathematical formulas were used for calculation of OC volume and surface area from the 3D model. The same measurements were obtained from the software and used as ground truth. Data normality was investigated before statistical analyses were performed. Wilcoxon test was used to validate differences of OC volume and surface area between 3D model and software.
RESULTS: The mean values for OC surface area for 3D model and MIMICS software were 103.19 mm2 and 31.27 mm2, respectively, whereas the mean for OC volume for 3D model and MIMICS software were 184.37 mm2 and 147.07 mm2, respectively. Significant difference was found between OC volume (P = 0.0681) and surface area (P = 0.0002) between 3D model and software.
CONCLUSION: Optic canal in SC is not a perfect conical frustum thus making 3D model measurement and mathematical formula for surface area and volume estimation not ideal. Computer software remains the best modality to gauge dimensional parameter and is useful to elucidates the relationship of OC and eye function as well as aiding intervention in SC patients.
METHODS: Retrospective study of medical notes of craniosynostosis patients who attended the CFC in UMMC from 2014 to December 2020.
RESULTS: Out of 37 patients, 29 had syndromic craniosynostosis, and 8 had non-syndromic craniosynostosis. Visual impairment was present in 32.1% of patients. Causes for visual impairment were as follows - amblyopia (25.0%), exposure keratopathy (3.6%), and optic atrophy (3.6%). Hypermetropia and myopia were each seen in 20.6% of patients. Astigmatism was seen in 47.1% of patients, and 29.1% had anisometropia. Proptosis was present in 78.6% and lagophthalmos in 53.3% of patients. Strabismus in primary position occurred in 51.7% of patients. Thirty-one percent of the patients had exposure keratopathy. Optic disc atrophy was seen in 13.7% of patients, and 8.3% had optic disc swelling. Optic disc swelling was resolved in all patients who underwent craniofacial surgery.
CONCLUSION: Our experience in Malaysia was consistent with previously reported data on ophthalmic features of craniosynostosis patients. Additionally, we found that non-syndromic craniosynostosis patients are also at risk of ocular complications just as much as syndromic patients. Appropriate treatment of amblyogenic risk factors, ocular complications, and timely detection of papilledema, and prompt surgical intervention are crucial in preserving long-term visual function in these patients.