ABSTRACT
OBJECTIVE: To determine the efficacy of the first triple CFTR protein modulators in children and adolescents with cystic fibrosis. METHODS: Systematic review and meta-analysis were conducted, following PRISMA guidelines. The following databases were searched extensively: PubMed/Medline, Clinical trials.gov, Google Scholar, Scopus, Embase, and Europe PMC using the keywords: "Ivacaftor," "Elexacaftor," "Tezacaftor," VX_661", VX_770", "VX_445", "cystic fibrosis". A total of ten randomized clinical trials were included in our analysis. Primary outcomes included: Absolute change in predicted FEV1 from baseline, Absolute change in sweat chloride test from baseline, Absolute change in BMI from baseline, Absolute change in CF-QR from baseline, and Adverse Events. RESULTS: Among primary findings, significant absolute change in predictive FEV1 from baseline through 4 weeks favoured the triple CFTR protein modulators. [MD=11.80,95%CI=8.47_15.12, p value=<0.00001]; as well as CF_QR score [MD=0.00,95%CI=-2.50_2.50, p value=1.00], and BMI kg/m² change [MD=16.90,95%CI=12.73_21.06, p value=<0.00001]. No significant change was noted for CFTR channels activity in the treatment group when compared to placebo or VX_770/VX_661 [MD= -12.57,95%CI=-94.46_69.32, p value=0.76]. CONCLUSION: In children aged ≥ 6 y old and adolescents with F508del_CFTR mutation, Elexacaftor-Tezacaftor-Ivacaftor tend to be more effective than first-generation therapy, demonstrating promising results by exhibiting significant improvement in lung function, body weight, and respiratory-related quality of life.
ABSTRACT
Central nervous system tumors are identified as tumors of the brain and spinal cord. The associated morbidity and mortality of cerebrospinal tumors are disproportionately high compared to other malignancies. While minimally invasive techniques have initiated a revolution in neurosurgery, artificial intelligence (AI) is expediting it. Our study aims to analyze AI's role in the neurosurgical management of cerebrospinal tumors. We conducted a scoping review using the Arksey and O'Malley framework. Upon screening, data extraction and analysis were focused on exploring all potential implications of AI, classification of these implications in the management of cerebrospinal tumors. AI has enhanced the precision of diagnosis of these tumors, enables surgeons to excise the tumor margins completely, thereby reducing the risk of recurrence, and helps to make a more accurate prediction of the patient's prognosis than the conventional methods. AI also offers real-time training to neurosurgeons using virtual and 3D simulation, thereby increasing their confidence and skills during procedures. In addition, robotics is integrated into neurosurgery and identified to increase patient outcomes by making surgery less invasive. AI, including machine learning, is rigorously considered for its applications in the neurosurgical management of cerebrospinal tumors. This field requires further research focused on areas clinically essential in improving the outcome that is also economically feasible for clinical use. The authors suggest that data analysts and neurosurgeons collaborate to explore the full potential of AI.
ABSTRACT
It is of greatest concern how COVID-19 is affecting pregnancy, mothers, and babies. Scientists are studying the impact of COVID-19 on pregnant women and babies and are understanding a little more every day. Reports show that there is an increased risk in pregnant women compared to nonpregnant women to get more serious illness due to COVID-19. Researchers are also investigating COVID-19 and its potential impact on a fetus. There are exceedingly rare cases of COVID-19 transmission to the fetus, and newborns can pick up COVID-19 when exposed. Vaccines are proved to be safe for pregnant women and help prevent both mother and the fetus from getting COVID-19 and are also highly effective to prevent COVID-19 infection, critical sickness, and fatalities in general. There are specific guidelines for labor and delivery during the COVID-19 pandemic which are to be imposed and followed to achieve safer and healthier childbirth. In this article, the overall influence of COVID-19 in pregnancy, its pathophysiology, effects on placenta and neonates, maternal and perinatal features and outcomes, the role of vaccination, available treatment options, and the guidelines to be followed during the pandemic are discussed based on the available scientific evidence.