Analysis of Post-Operative Pain Following Single Sitting Root Canal Treatment.

Background: The objective of root canal therapy is the complete cleansing and sealing of the entire root canal system, encompassing all of its elements. This current study was undertaken to evaluate the occurrence of postoperative pain in the patients during single-session RCT. Materials and Methods: A total of 70 maxillary central incisor teeth from 55 patients, representing both genders, were chosen for a one-session root canal procedure. Postoperative discomfort was measured using the Visual Analog Scale (VAS) at the following time intervals: 6 hours, 12 hours, 24 hours, and 48 hours following the treatment. Results: Among the 55 patients, there were 35 males and 20 females. The average VAS scores at various time points were as follows: 6 hours (7.4), 12 hours (5.2), 24 hours (3.4), and 48 hours (2.5). These differences were found to be statistically significant (P < 0.05). Conclusion: The authors observed a significant reduction in postoperative pain following a one-session RCT.

Literature mining discerns latent disease-gene relationships.

MOTIVATION: Dysregulation of a gene's function, either due to mutations or impairments in regulatory networks, often triggers pathological states in the affected tissue. Comprehensive mapping of these apparent gene-pathology relationships is an ever-daunting task, primarily due to genetic pleiotropy and lack of suitable computational approaches. With the advent of high throughput genomics platforms and community scale initiatives such as the Human Cell Landscape project, researchers have been able to create gene expression portraits of healthy tissues resolved at the level of single cells. However, a similar wealth of knowledge is currently not at our finger-tip when it comes to diseases. This is because the genetic manifestation of a disease is often quite diverse and is confounded by several clinical and demographic covariates. RESULTS: To circumvent this, we mined ∼18 million PubMed abstracts published till May 2019 and automatically selected ∼4.5 million of them that describe roles of particular genes in disease pathogenesis. Further, we fine-tuned the pretrained bidirectional encoder representations from transformers (BERT) for language modeling from the domain of natural language processing to learn vector representation of entities such as genes, diseases, tissues, cell-types, etc., in a way such that their relationship is preserved in a vector space. The repurposed BERT predicted disease-gene associations that are not cited in the training data, thereby highlighting the feasibility of in silico synthesis of hypotheses linking different biological entities such as genes and conditions. AVAILABILITY AND IMPLEMENTATION: PathoBERT pretrained model: https://github.com/Priyadarshini-Rai/Pathomap-Model. BioSentVec-based abstract classification model: https://github.com/Priyadarshini-Rai/Pathomap-Model. Pathomap R package: https://github.com/Priyadarshini-Rai/Pathomap.

A New Method of Matrix-Based Triage for Nuclear Disasters.

During nuclear disaster, infrastructure is severely damaged and injuries are often combined with trauma/burns and whole-body radiation. This makes triage difficult, especially when resources are severely deficient. To solve this problem, in this article, the authors have suggested a new less technology-dependent radiation dosimetry and quick triage using a specially designed triage matrix during nuclear disasters.

Comparative analysis of cheiloscopy, pulpal tissue and fingerprint for gender identification.

Background: The most important step in identifying an unknown person is determining one's gender and as a dentist, the oral tissues are potential sources of information in this aspect. A study was carried out to assess and evaluate the accuracy of cheiloscopy, pulp tissue, and fingerprints in determining gender. Material and Methods: A study comprising of 160 individuals (80 males and 80 females) was conducted. After obtaining informed written consent and recording their bio-data; lip prints, and fingerprints were recorded. The patients' extracted tooth was collected, their pulp extirpated, for assessment of the Barr body. Results: We found that every lip pattern was unique and hence can be used to identify an unknown individual. The occurrence of the Barr body was determined, and all female samples were found to be positive for the existence of the Barr body. In fingerprint patterns, a significant difference was noted between both sexes with ulnar loops and whorl patterns only. A highly significant difference was observed in the fingerprint ridge density between genders. Conclusions: We conclude that the Barr body in pulpal tissue can be considered as the best possible technique for gender determination within the dental tissues. Lip prints did not show any differences in genders and had no role to play in gender determination. Fingerprint ridge density can also be used to determine gender.

Comparision of cardiac output measured by transthoracic echocardiography with continuous cardiac output measured by pressure recording analytical method.

Background: Low cardiac output is a common complication following cardiac surgery and it is associated with higher mortality in the pediatric population. A gold standard method for cardiac output (CO) monitoring in the pediatric population is lacking. The present study was conducted to validate cardiac output and cardiac index measured by transthoracic echocardiography and Pressure recording analytical method, a continuous pulse contour method, MostCareUp in postoperative pediatric cardiac surgical patients. Materials and Methods: This was a prospective observational clinical study conducted at a tertiary care hospital. A total of 23 pediatric patients weighed between 2 and 20 kg who had undergone elective cardiac surgery were included in the study. Results: Spearman's correlation coefficient of CO between transthoracic echocardiography (TTE) and Pressure Recording Analytical Method (PRAM) showed of positive correlation (r = 0.69, 95% Confidence interval 0.59-0.77, P < 0.0001) Linear regression equations for CO between TTE and PRAM were y = 0.55 + 0.88x (R2 = 0.46, P < 0.0001). (y = PRAM, x = TTE), respectively. Bland- Altman plot for CO between TTE and PRAM showed a bias of -0.397 with limits of the agreement being -2.01 to 1.22. Polar plot analysis showed an angular bias of 6.55° with radial limits of the agreement being -21.46 to 34.58 for CO and angular bias of 6.22° with radial limits of the agreement being -22.4 to 34.84 for CI. Conclusion: PRAM has shown good trending ability for cardiac output. However, values measured by PRAM are not interchangeable with the values measured by transthoracic echocardiography.

Validation of Hindi version of the obstetric quality of recovery score-11 (ObsQoR-11 H) following elective caesarean section.

Background and Aims: Obstetric quality of recovery score-11 (ObsQoR-11) was developed in English to evaluate the quality of recovery in the caesarean section. We aimed to validate the Hindi version of ObsQoR-11 (ObsQoR-11H) for Hindi-speaking patients to evaluate the quality of recovery following the elective caesarean section. Methods: The ObsQoR-11 was translated into Hindi and assessed for validity, acceptability and feasibility. The questionnaire was administered postoperatively at 24 and 48 hours, and the Global Health Numeric Rating Scale (NRS) was used to evaluate recovery. Results: The mean (standard deviation [SD]) (95% confidence interval [CI]) ObsQoR-11 H was 75.94 (4.09)(95% CI 75.1, 76.7) and 80.25 (4.08)(95% CI 79.5, 81) at 24 and 48 hours, respectively. The mean (SD) (95%CI) Global Health NRS scores were 71.22 (5.97)(95% CI 70, 72.4) and 77.37 (5.79)(95% CI 76.2, 78.5) at 24 and 48 hours, respectively. Convergent validity showed a strong correlation between ObsQoR-11H and Global Health NRS (Spearman's correlation coefficient [rs] >0.8 and 0.78) scores at 24 and 48 hours, respectively. Discriminant validity was significant in appreciating the difference between good and poor recovery (P < 0.001). Split-half coefficient of 0.69 and 0.65 and Cronbach's alpha (α) of 0.91 and 0.82 at 24 and 48 hours suggested good score reliability. The acceptability and feasibility of the score were also good. Conclusion: The ObsQoR-11H discriminated well between 'good' and 'poor' recovery and correlated strongly with Global Health NRS scores. It was found to be a valid, reliable, acceptable and feasible tool for psychometric recovery evaluation after elective caesarean section in Hindi-speaking women.

A conserved HSF:miR169:NF-YA loop involved in tomato and Arabidopsis heat stress tolerance.

Heat stress transcription factors (HSFs) and microRNAs (miRNAs) regulate different stress and developmental networks in plants. Regulatory feedback mechanisms are at the basis of these networks. Here, we report that plants improve their heat stress tolerance through HSF-mediated transcriptional regulation of MIR169 and post-transcriptional regulation of Nuclear Factor-YA (NF-YA) transcription factors. We show that HSFs recognize tomato (Solanum lycopersicum) and Arabidopsis MIR169 promoters using yeast one-hybrid/chromatin immunoprecipitation-quantitative PCR. Silencing tomato HSFs using virus-induced gene silencing (VIGS) reduced Sly-MIR169 levels and enhanced Sly-NF-YA9/A10 target expression. Further, Sly-NF-YA9/A10 VIGS knockdown tomato plants and Arabidopsis plants overexpressing At-MIR169d or At-nf-ya2 mutants showed a link with increased heat tolerance. In contrast, Arabidopsis plants overexpressing At-NF-YA2 and those expressing a non-cleavable At-NF-YA2 form (miR169d-resistant At-NF-YA2) as well as plants in which At-miR169d regulation is inhibited (miR169d mimic plants) were more sensitive to heat stress, highlighting NF-YA as a negative regulator of heat tolerance. Furthermore, post-transcriptional cleavage of NF-YA by elevated miR169 levels resulted in alleviation of the repression of the heat stress effector HSFA7 in tomato and Arabidopsis, revealing a retroactive control of HSFs by the miR169:NF-YA node. Hence, a regulatory feedback loop involving HSFs, miR169s and NF-YAs plays a critical role in the regulation of the heat stress response in tomato and Arabidopsis plants.

Analysis of trimodal pattern of mortality among hospitalized COVID-19 patients- Lessons from tertiary care hospital.

Background and Aims: Many patients with COVID-19 become critically ill and requireICU admission. Risk factors associated with mortality have been studied, but this study provides insight regarding disease progression and hence help to plan rescue strategies to improve patient outcome. Material and Methods: This retrospective, observational study included all patients with diagnosis of COVID-19 from March1 to June30,2021 who died in hospital. Results: During the study period, 1600 patients were admitted, with 1138 (71%) needing ICU care. There were 346 (21.6%) deaths, distributed as 15.8%(n = 55) within 48h of admission, 46.2%(n = 160) in next 10 days, and 37.8%(n = 131) thereafter. This trimodal mortality pattern of distribution was similar to polytrauma patients. Patients were divided into categories according to time duration from admission to death. In our cohort, 235 (14.7%) patients required mechanical ventilation, with a mortality of 85.4%(n = 201). Tachypnea was significantly (P < 0.001) associated with death at all times; however, hypotension was associated with early death and low oxygen saturation with poor outcome upto 10 days (P < 0.001). Refractory hypoxia was cause of death in all three groups, while other causes in group II were AKI (28%), sepsis (18%), and MODS (10%). Group III patients had different causes of mortality, including barotrauma (9%), pulmonary thromboembolism (8%), refractory hypercarbia (12%), MODS (13%), AKI (10%), sepsis (7%), and cardiac events (6%). Conclusion: While physiological dearrangements are associated with rapid progression and early death, complications related to hyper-coagulable state, lung injury, and organ failure lead to death later. Providing quality care to a high volume of patients is a challenge for all, but posthoc analysis such as air crash investigation can help find out potential areas of improvement and contribute to better outcomes and mortality reduction.

Gene expression based inference of cancer drug sensitivity.

Inter and intra-tumoral heterogeneity are major stumbling blocks in the treatment of cancer and are responsible for imparting differential drug responses in cancer patients. Recently, the availability of high-throughput screening datasets has paved the way for machine learning based personalized therapy recommendations using the molecular profiles of cancer specimens. In this study, we introduce Precily, a predictive modeling approach to infer treatment response in cancers using gene expression data. In this context, we demonstrate the benefits of considering pathway activity estimates in tandem with drug descriptors as features. We apply Precily on single-cell and bulk RNA sequencing data associated with hundreds of cancer cell lines. We then assess the predictability of treatment outcomes using our in-house prostate cancer cell line and xenografts datasets exposed to differential treatment conditions. Further, we demonstrate the applicability of our approach on patient drug response data from The Cancer Genome Atlas and an independent clinical study describing the treatment journey of three melanoma patients. Our findings highlight the importance of chemo-transcriptomics approaches in cancer treatment selection.

The Pharmacogenetics of Opiates and Its Impact on Delirium in Mechanically Ventilated Adults: A Pilot Study.

Background: Pharmacogenetics may explain a substantial proportion of the variation seen in the efficacy and risk profile of analgesosedative drugs and the incidence of delirium in critically ill adults. Objectives: Conduct a feasibility study to demonstrate the reliability of collecting and analyzing pharmacogenetic information from critically ill patients and to assess the impact of pharmacogenetics on intensive care unit (ICU) outcomes. Methods: We prospectively enrolled subjects from the Medical ICU at the University of North Carolina (UNC). DNA was obtained via a buccal swab and evaluated using the DNA2Rx assay. We collected data on demographics, daily cumulative psychoactive medication exposure, and severity of illness. We performed daily delirium assessments via the CAM-ICU. We analyzed associations between select single nucleotide polymorphisms (SNPs) and delirium. Results: From June, 2018 through January, 2019, we screened 244 patients and enrolled 50. The median age was 62.0 years old (range: 28-82 years old), and 27 (54%) of the subjects were female. In all, 49 (98%) samples were both high quality and sufficient quantity. In secondary analyses, we found that 80% (12/15) of patients with two 2 copies of a G allele at rs4680 on COMT experienced delirium, whereas 44% (4/9) of patients with 2 copies of an A allele at this location had delirium. In all, 44% (4/9) of patients with 2 T allele copies at rs7439366 on UGT2B7 experienced delirium compared to 73% (11/15) of patients with 2 C allele copies at this location. Conclusions: We can feasibly collect genetic information from critically ill adults. We were able to efficiently collect high quality DNA of sufficient quantity to conduct pharmacogenetic analysis in this critically ill population. Although the sample size of our current study is too small to conduct robust inferential analyses, it suggests potential SNP targets for a future larger study.

Fibrinogen Levels and Bleeding Risk in Patients Undergoing Ultrasound-Assisted Catheter-Directed Thrombolysis for Submassive Pulmonary Embolism.

OBJECTIVES: We sought to test the hypothesis that patients undergoing ultrasound-assisted catheter-directed thrombolysis (USAT) with standard alteplase and heparin dosing would not develop significant depletion of systemic fibrinogen, which may account for the lower risk of bleeding seen in contemporary trials. We also sought to compare the relative outcomes of individuals with submassive pulmonary embolism (PE) undergoing USAT and anticoagulation alone. METHODS: Utilizing a single-center prospective registry, we identified 102 consecutive adult patients with submassive PE who were considered for USAT based on a standardized treatment algorithm between November 2016 and May 2019. Patients not receiving USAT therapy were treated with anticoagulation alone. RESULTS: Baseline characteristics were generally similar between groups (n = 51 in each group). Major bleeding rates were not significantly different between groups (2.0% vs 5.9% in USAT vs control, respectively; P=.62). Notably, no USAT patient experienced clinically significant hypofibrinogenemia (mean trough fibrinogen, 369.8 ± 127.1 mg/dL; minimum, 187 mg/dL). The mean trough fibrinogen of patients experiencing any bleeding event (major or minor) was 306.6 mg/dL (SE, 23.9 mg/dL) vs 380.3 mg/dL (SE, 20.4 mg/dL) in those without a bleeding event (P=.02). CONCLUSIONS: In this cohort analysis of patients undergoing USAT, there was no evidence for clinically significant depletion of fibrinogen or intracranial hemorrhage. Although our data suggest an association between lower fibrinogen levels and bleeding events, our results are not clear enough to suggest a clinically useful fibrinogen cut-off value. Further study is needed to determine the utility of routine fibrinogen monitoring in this population.

Oral health status and treatment needs of substance abusers in Western Uttar Pradesh.

BACKGROUND: Substance abuse has often associated with high caries, poor periodontal health, and altered functioning of the individual. The substance abuse may be natural or synthetic in origin, both causing deleterious effect on the oral and overall health of the individual. AIM: To assess the oral health status and treatment needs of substance abusers attending deaddiction centers in Western Uttar Pradesh. MATERIALS AND METHODS: A cross-sectional study was conducted among 220 substance abusers from 6 randomly selected deaddiction centers. The subjects were divided into four groups: Group 1, alcohol (A); Group 2, nicotine (N); Group 3, alcohol + nicotine (AN); and Group 4, other drugs (O). A demographic record along with full-mouth examination was recorded based on the World Health Organization pro forma. RESULTS: The overall results showed that out of the total participants, 144 had oral mucosal lesions. Alcohol group had significantly higher mean community periodontal index code 3 (pockets 4-5 mm) than the other groups (P < 0.05). The prevalence of decayed, missing, filled teeth (DMFT) was 83.33%, and the mean DMFT of the alcohol group was significantly higher than the other combinations group (P < 0.01). CONCLUSIONS: The oral health status of substance abusers was poor, with a large number of oral mucosal lesions. The dental caries status and periodontal status were the worst among the alcohol group.

Evaluation of decision-to-delivery interval in emergency cesarean section: A 1-year prospective audit in a tertiary care hospital.

BACKGROUND AND AIMS: The American College of Obstetricians and Gynecologists (ACOG) committee on professional standards and the National Institute of Clinical Excellence (NICE) guidelines suggest that decision-to-delivery interval (DDI) and emergency cesarean section (CS) should not be more than 30 min, and a delay of more than75 min in the presence of maternal or fetal compromise can lead to poor outcome. This prospective 1-year study was conducted on emergency CS in a tertiary care hospital to evaluate the DDI, factors affecting it and to analyze their effects on maternal and neonatal outcome. MATERIAL AND METHODS: A structured proforma was used to analyze the data from all women undergoing emergency CS, during a 1-year period, included in Category 1 and 2 of NICE guidelines for CS. RESULTS: A total of 453 emergency CSs were evaluated, with a mean DDI of 36.3 ± 17.2 min for Category 1 CS and 38.1 ± 17.7 min for Category 2 CS (P > 0.05). Only 42.4% emergency CSs confirmed to the 30 min DDI while 57.6% had a DDI of more than 30 min. Reasons of delay were identified as a delay in shifting the patient to operation theater (22.1%), anesthesia factors (18.1%), and lack of resources or manpower (16.1%). Maternal complications occurred in 15 (3.3%) patients with 3 (0.7%) nonsurvivors having a DDI of 91.0 ± 97.0 min as compared to survivors with a DDI of 36.8 ± 15.7 min, P = 0.001. There was no significant association between DDI and occurrence of neonatal complications. CONCLUSION: Failure to meet the current recommendations was associated with adverse maternal outcomes, but not with adverse neonatal outcome.

Biotransformation of polyphenols for improved bioavailability and processing stability.

Research on the functions and effects of polyphenols has gained considerable momentum in recent times. This is attributed to their bioactivities, ranging from antioxidant to anticancer activities. But their potential is seldom fully realized since their solubility and stability is quite low and their bioavailability is hampered due to extensive metabolism in the body. Biotransformation of polyphenols using enzymes, whole cell microbes, or plant cell cultures may provide an effective solution by modifying their structure while maintaining their original bioactivity. Lipase, protease, cellulase, and transferases are commonly used enzymes, with lipase being the most popular for carrying out acylation reactions. Among the whole cell microbes, Aspergillus, Bacillus, and Streptomyces sp. are the most widely used, while Eucalyptus perriniana and Capsicum frutescens are the plant cell cultures used for the production of secondary metabolites. This chapter emphasizes the development of green solvents and identification of different sources/approaches to maximize polyphenol transformation for varied applications.

Critical incident reporting in anaesthesia: a prospective internal audit.

SUMMARY: Critical incident monitoring is useful in detecting new problems, identifying 'near misses' and analyzing factors or events leading to mishaps, which can be instructive for trainees. This study was aimed at investigating potential risk factors and analyze events leading to peri-operative critical incidents in order to develop a critical incident reporting system. We conducted a one year prospective analysis of voluntarily reported 24- hour-perioperative critical incidents, occurring in patients subjected to anaesthesia. During a one year period from December 2006 to December 2007, 14,134 anaesthetics were administered and 112(0.79%) critical incidents were reported with complete recovery in 71.42%(n=80) and mortality in 28.57% (n=32) cases. Incidents occurred maximally in 0-10 years age (23.21%), ASA 1(61.61%), in general surgery patients (43.75%), undergoing emergency surgery (52.46%) and during day time (75.89%). Incidence was more in the operating theatre (77.68%), during maintenance (32.04%) and post-operative phase (25.89%) and in patients who received general anaesthesia (75.89%). Critical incidents occurred clue to factors related to anaesthesia (42.85%), patient (37.50%) and surgery (16.96%). Among anaesthesia related critical incidents (42.85% n=48/112), respiratory events were maximum (66.66%) mainly at induction (37.5%) and emergence (43.75%), and factors responsible were human error (85.41%), pharmacological factors (10.41%) and equipment error (4.17%). Incidence of mortality was 22.6 per 10, 000 anaesthetics (32/14,314), mostly attributable to risk factors in patient (59.38%) as compared to anaesthesia (25%) and surgery (9.38%). There were 8 anaesthesia related deaths (5.6 per 10, 000 anaesthetics) where human error (75%) attributed to lack of judgment (67.50%) was an important causative factor. We conclude that critical incident reporting system may be a valuable part of quality assurance to develop policies to prevent recurrence and enhance patient safety measures.