Aim: The aim of the study was to compare the efficacy of transdermal diclofenac patch with ketoprofen patch as postoperative analgesia after extraction of first premolars bilaterally in both arches for orthodontic purpose. Materials and Methods: A split-mouth technique was used in 52 patients with the age group of 15–25 years for extracting maxillary and mandibular first premolars bilaterally for orthodontic reason. A single ketoprofen patch was used after the extraction of premolars from first and fourth quadrant, whereas for the extraction of second and third quadrant premolars, diclofenac patch was used. All the extractions were performed under local anesthesia. The data were compiled and statistically analyzed using the student's t -test. Results: Mean visual analog scale score for diclofenac and ketoprofen patch was 2.05 (0.75) and 1.09 (0.3), respectively. Thirteen patients required additional medication (25%) and 1 (1.9%) patient with diclofenac and ketoprofen patch, respectively. No major complication or adverse effects were observed in any of the groups. Conclusion: Both diclofenac and ketoprofen transdermal patches are helpful in relieving pain after orthodontic extraction. Patients with diclofenac patch required more additional analgesia within 24 h compared to that with ketoprofen patch. None of the drugs showed any significant adverse effects and were well tolerated by the patients.

Background:Oral submucous fibrosis (OSMF) is always associated with juxtaepithelial inflammatory reaction followed by fibroblastic changes in lamina propria, with epithelial atrophy leading to stiffness of oral mucosa and causing trismus and inability to eat. Mid upper arm circumference (MUAC) is a useful tool for a fast assessment of the nutritional status.Aims:The study was undertaken to evaluate the correlation of MUAC as a nutritional status indicator in OSMF patients.Patients and Methods:The study group comprised 50 clinically diagnosed and histopathologically confirmed cases of OSMF. MUAC was recorded using a plastic measuring tape. The right upper arm was measured at the midpoint between the tip of the shoulder and the tip of the elbow (olecranon process and the acromium).Results:Out of 50 subjects, 76% (38) were having MUAC value <23 cm, which shows an inverse relation between MUAC and clinical staging. The relation of MUAC with clinical staging was significant.Conclusion:The patient with OSMF becomes unable to eat due to burning, ulcers, and inability to open mouth, which affects the health of the individual. Thus, it is crucial to access the nutritional status to improve the survival rate of patients.

No abstract

Global surgery broadly refers to a rapidly expanding multidisciplinary field concerned with providing better and equitable surgical care across international health systems. Global surgery initiatives primarily focus on capacity building, advocacy, education, research, and policy development in low-and middle-income countries (LMICs). The inadequate surgical, anesthetic, and obstetric care currently contributes to 18 million preventable deaths each year. Hence, there is a growing interest in the rapid growth of artificial intelligence (AI) that provides a distinctive opportunity to enhance surgical services in LMICs. AI modalities have been used for personalizing surgical education, automating administrative tasks, and developing realistic and cost-effective simulation-training programs with provisions for people with special needs. Furthermore, AI may assist with providing insights for governance, infrastructure development, and monitoring/predicting stock take or logistics failure that can help in strengthening global surgery pillars. Numerous AI-assisted telemedicine-based platforms have allowed healthcare professionals to virtually assist in complex surgeries that may help to improve surgical accessibility across LMICs. Challenges in implementing AI technology include the misrepresentation of minority populations in the datasets leading to discriminatory bias. Human hesitancy, employment uncertainty, automation bias, and role of confounding factors need to be further studied for equitable utilization of AI. With a focused and evidence-based approach, AI could help several LMICs overcome bureaucratic inefficiency and develop more efficient surgical systems.

No abstract