Correlation between prostate specific antigen and prostate volume with disease symptom severity assessed by international prostate symptom score

Background: Benign prostatic hyperplasia (BPH) is clinically defined as prostate adenoma, resulting in bladder outlet obstruction (BOO), which may eventually harm the bladder and even kidneys. For differential diagnosis of male LUTS, uroflowmetry can be used together with non-invasive ultrasound to ascertain the flow rate and IPP. PSA is also an important indicator for differential diagnosis. International prostate symptoms score (IPSS) is used to assess the severity of the symptoms for clinical BPH. There is also a recommendation to consider the quality of life (QoL) index, where a QoL score of ≥3 is considered as worrisome. Methods: This was a retro-prospective study based on secondary and primary data collection and analysis, pertaining to BPH patients who visited the study site previously as well as those who are coming for regular follow-up since 2019. Patient enrolment was done at a teaching hospital Shree Krishna Hospital affiliated to the Pramukh Swami Medical College, Bhaikaka University, Karamsad. About 100 patients presenting with lower urinary tract symptoms (LUTS) and histo-pathologically proven cases of BPH were enrolled to pursue research objectives. All patients were followed up to a period of 3-months after initiating the treatment and disease severity through IPSS and quality of life upon completion of treatment were also assessed. Results: PSA is also an important indicator for differential diagnosis, which is generally less than 1 μg/l in patients in absence of clinically confirmed BPH. In our study, mean prostate volume was reported to be 43.46±19.35 cc. A positive correlation was observed between prostate volume and serum PSA with disease severity. Conclusions: Our study evaluated the IPSS to predict the disease severity and correlated it with quality of life, prostate volume and serum PSA. Our findings were in line with currently available evidences, and suggested that QoL, prostate volume and serum PSA are better predictors of disease severity, IPSS

Peripheral Giant Cell Granuloma in 9-Year-Old Female Patient

The peripheral giant cell granuloma (PGCG) is a benign hyperplastic gingival lesion of unknown etiology occurring mostly in adults. However, it is less commonly seen in females withpreponderance for fifth and sixth decade of the life. It is clinically difficult to distinguish PGCG from pyogenic granuloma, fibrous epulis or irritation fibroma. This article presents a case with exophytic gingival lesion in 9 years old female patient. This lesion was interfering with functions and altering the esthetics. It is a challenge for the clinician to manage such type of pathologies in young children

The prevalence of traumatic dental injuries to permanent anterior teeth and its relation with predisposing risk factors among 8-13 years school children of Vadodara city: An epidemiological study

Background and objective: dental trauma is an irreversible pathology that after occurrence is characterized by life-long debilitating effects. The objectives of this study were to measure the prevalence of anterior teeth fracture and their association with predisposing factors such as lip coverage, molar relationship, overjet, and variables such as age, sex, cause, and place of trauma. Materials and Methods: an epidemiological cross-sectional study was carried out among 3708 school children aged 8-13 years in the Vadodara city. All children completed a questionnaire related to history of trauma to their anterior teeth after which they were examined for lip competence, Angle′s molar relationship amount of overjet and nature of trauma sustained. The results were statistically analyzed using the prevalence test, Chi-square test, and Mantel-Haenszel Common Odds Ratio. Results: the prevalence of traumatic injuries was 8.79% and the ratio of boys: girl′s was 1.28:1. Inadequate lip coverage group sustained about five times more injuries than the adequate lip coverage group (P = 0.000, OR= 5.407). The maximum traumatic injuries were seen in children having Angle Class II Div 1 molar relationship and/or overjet greater than 5.5 mm and was statistically significant (P<0.05). Maximum number of injuries occurred at 9 years of age. The most predominant injuries were enamel fractures, the most common place for occurrence was home and fall against object, the most frequent cause. Conclusion: the prevalence of dental injuries in the Vadodara city is high and it has a great potential to be considered as an emerging public health problem

Immune profiling of uveal melanoma identifies a potential signature associated with response to immunotherapy

Background To date, no systemic therapy, including immunotherapy, exists to improve clinical outcomes in metastatic uveal melanoma (UM) patients. To understand the role of immune infiltrates in the genesis, metastasis, and response to treatment for UM, we systematically characterized immune profiles of UM primary and metastatic tumors, as well as samples from UM patients treated with immunotherapies.Methods Relevant immune markers (CD3, CD8, FoxP3, CD68, PD-1, and PD-L1) were analyzed by immunohistochemistry on 27 primary and 31 metastatic tumors from 47 patients with UM. Immune gene expression profiling was conducted by NanoString analysis on pre-treatment and post-treatment tumors from patients (n=6) receiving immune checkpoint blockade or 4-1BB and OX40 dual costimulation. The immune signature of UM tumors responding to immunotherapy was further characterized by Ingenuity Pathways Analysis and validated in The Cancer Genome Atlas data set.Results Both primary and metastatic UM tumors showed detectable infiltrating lymphocytes. Compared with primary tumors, treatment-naïve metastatic UM showed significantly higher levels of CD3+, CD8+, FoxP3+ T cells, and CD68+ macrophages. Notably, levels of PD-1+ infiltrates and PD-L1+ tumor cells were low to absent in primary and metastatic UM tumors. No metastatic organ-specific differences were seen in immune infiltrates. Our NanoString analysis revealed significant differences in a set of immune markers between responders and non-responders. A group of genes relevant to the interferon-γ signature was differentially up-expressed in the pre-treatment tumors of responders. Among these genes, suppressor of cytokine signaling 1 was identified as a marker potentially contributing to the response to immunotherapy. A panel of genes that encoded pro-inflammatory cytokines and molecules were expressed significantly higher in pre-treatment tumors of non-responders compared with responders.Conclusion Our study provides critical insight into immune profiles of UM primary and metastatic tumors, which suggests a baseline tumor immune signature predictive of response and resistance to immunotherapy in UM

Multidrug resistance, biofilm formation and detection of blaCTX-M and blaVIM genes in E. coli and Salmonella isolates from chutney served at the street-food stalls of Bharatpur, Nepal

Antimicrobial resistance (AMR) amid the bacteria found in ready-to-eat foods is a grave concern today warranting an immediate intervention. The current study was undertaken to explore the status of AMR in E. coli and Salmonella species in ready-to-eat Chutney samples (n = 150) served at the street food stalls in Bharatpur, Nepal, with a major focus on detecting extended-spectrum β-lactamase (ESBL) and metallo β-lactamase (MBL) genes along with biofilm formation. Average viable counts, coliform counts, and Salmonella Shigella counts were 1.33 × 106±141481.4, 1.83 × 105±91303.6, and 1.24 × 105±63933.19 respectively. Out of 150 samples, 41 (27.33%) harbored E. coli, of which 7 were E. coli O157:H7; whereas Salmonella spp. were found in 31 (20.67%) samples. Bacterial contamination of Chutney by E. coli and Salmonella and ESBL-production were both found significantly affected by different sources of water used, personal hygiene and literacy rate of the vendors as well as by the type of cleaning materials used to wash knives and chopping boards (P < 0.05). Antibiotic susceptibility testing revealed that imipenem was the most effective drug against both types of bacterial isolates. Additionally, 14 (45.16%) Salmonella isolates and 27 (65.85%) E. coli isolates were found to be multi-drug resistant (MDR). Total ESBL (blaCTX-M) producers reported were 4 (12.90%) Salmonella spp. and 9 (21.95%) E. coli. Only 1 (3.23%) Salmonella spp. and 2 (4.88%) E. coli isolates were blaVIM gene carriers. Dissemination of knowledge of personal hygiene amongst the street vendors and consumer awareness regarding ready-to-eat foods are crucial factors that can be suggested to curtail the emergence and transmission of food-borne pathogens

Estimation of gross calorific value of coals using artificial neural networks

The gross calorific value (GCV) is an important property defining the energy content and thereby efficiency of fuels, such as coals. There exist a number of correlations for estimating the GCV of a coal sample based upon its proximate and/or ultimate analyses. These correlations are mainly linear in character although there are indications that the relationship between the GCV and a few constituents of the proximate and ultimate analyses could be nonlinear. Accordingly, in this paper a total of seven nonlinear models have been developed using the artificial neural networks (ANN) methodology for the estimation of GCV with a special focus on Indian coals. The comprehensive ANN model developed here uses all the major constituents of the proximate and ultimate analyses as inputs while the remaining six sub-models use different combinations of the constituents of the stated analyses. It has been found that the GCV prediction accuracy of all the models is excellent with the comprehensive model being the most accurate GCV predictor. Also, the performance of the ANN models has been found to be consistently better than that of their linear counterparts. Additionally, a sensitivity analysis of the comprehensive ANN model has been performed to identify the important model inputs, which significantly affect the GCV. The ANN-based modeling approach illustrated in this paper is sufficiently general and thus can be gainfully extended for estimating the GCV of a wide spectrum of solid, liquid and gaseous fuels