Vascular Endothelial Growth Factor in Serum and Saliva of Oral Lichen Planus and Oral Squamous Cell Carcinoma Patients

Background: Oral lichen planus (OLP) is considered as a potentially malignant disorder and vascular endothelial growth factor (VEGF) may play a key role in cancer development. The aim of this study was to compare serum and saliva VEGF among patients with OLP, oral squamous cell carcinoma (OSCC) and a healthy control group. Methods: A cross sectional study was performed on 27 patients with OLP, 27 patients with OSCC and 27 healthy volunteers. The serum and saliva VEGF were assayed by ELISA method. Statistical analysis of ANOVA was used. Results: The mean saliva flow rate and serum VEGF in OLP and OSCC patients were significantly lower compared to healthy control group (p<0.05), but there was no significant difference between OLP and OSCC patients. There was no significant difference in mean salivary VEGF among groups. Conclusion: It seems that saliva VEGF may not be a good biomarker for OLP and OSCC

Comparative Evaluation of EGF in Oral Lichen Planus and Oral Squamous Cell Carcinoma

Oral lichen planus (OLP) is classified as a potential malignant disorder, and epidermal growth factor (EGF) may play a key role in cancer development. The aim of this study was to compare serum and saliva EGF among patients with OLP and oral squamous cell carcinoma (OSCC). A cross-sectional study was performed on 27 patients with OLP (10 reticular and 17 atrophic-erosive forms), 27 patients with OSCC and 27 healthy control group. The study was conducted at the Cancer Department, Clinic of Oral Medicine, Tehran University of Medical Sciences. The serum and saliva EGF were assayed by ELISA method. Statistical analysis of ANOVA was used. The mean serum EGF in OLP and OSCC patients was significantly lower compared to healthy control group (P < 0.05), but no significant difference was observed between OLP and OSCC patients. There was no significant difference in mean salivary EGF among groups. As serum EGF levels appear to be statistically similar in OLP and OSCC, it seems that EGF might play a role in the pathogenesis of OLP and its cancerization

Predicting COVID-19 Hospital Stays with Kolmogorov–Gabor Polynomials: Charting the Future of Care

Optimal allocation of ward beds is crucial given the respiratory nature of COVID-19, which necessitates urgent hospitalization for certain patients. Several governments have leveraged technology to mitigate the pandemic’s adverse impacts. Based on clinical and demographic variables assessed upon admission, this study predicts the length of stay (LOS) for COVID-19 patients in hospitals. The Kolmogorov–Gabor polynomial (a.k.a., Volterra functional series) was trained using regularized least squares and validated on a dataset of 1600 COVID-19 patients admitted to Khorshid Hospital in the central province of Iran, and the five-fold internal cross-validated results were presented. The Volterra method provides flexibility, interactions among variables, and robustness. The most important features of the LOS prediction system were inflammatory markers, bicarbonate (HCO3), and fever—the adj. R2 and Concordance Correlation Coefficients were 0.81 [95% CI: 0.79–0.84] and 0.94 [0.93–0.95], respectively. The estimation bias was not statistically significant (p-value = 0.777; paired-sample t-test). The system was further analyzed to predict “normal” LOS ≤ 7 days versus “prolonged” LOS > 7 days groups. It showed excellent balanced diagnostic accuracy and agreement rate. However, temporal and spatial validation must be considered to generalize the model. This contribution is hoped to pave the way for hospitals and healthcare providers to manage their resources better