MATERIALS AND METHODS: This cross-sectional web-based questionnaire survey was done among new dental graduates of the academic year 2019-2020 and the final year undergraduate students (academic year 2020-2021) from dental schools in Malaysia, using the Dental Undergraduates Preparedness Assessment Scale (DU-PAS), from 6th to 26th April 2021. The questionnaire addressed clinical skill competence, and cognitive and behavioral attributes. The number of respondents needed to achieve a confidence level of 95% with margin of error of 5% was 306.
RESULTS: A total of 453 (243 final year students and 210 new graduates) responded from dental schools nationwide, with a response rate of 30.6%. The overall mean score for preparedness for dental practice was 76.3±14.7, for clinical skills 39.7±7.3, and behavioral and cognitive attributes 36.5±9.1. New graduates had significantly higher mean preparedness score (78.6±14.4) as compared to students in their final year (74.2±14.7). Performing endodontic treatment on multi-rooted teeth had the lowest perceived competency (29.8%), followed by assessing treatment needs of patients requiring orthodontics (37.1%), prescribing drugs (46.6%) and providing crowns using principles of tooth preservation (48.1%).
CONCLUSIONS: Satisfactory scores were obtained for most attributes. The final-year cohort was significantly less prepared for dental practice compared to the newly graduated cohort.
SUMMARY OF BACKGROUND DATA: A previous systematic review identified 115 outcomes in 60 trials and systematic reviews evaluating treatments for children with appendicitis, suggesting the need for a COS.
METHODS: The development process consisted of 4 phases: (1) an updated systematic review identifying all previously reported outcomes, (2) a 2-stage international Delphi study in which parents with their children and surgeons rated these outcomes for inclusion in the COS, (3) focus groups with young people to identify missing outcomes, and (4) international expert meetings to ratify the final COS.
RESULTS: The systematic review identified 129 outcomes which were mapped to 43 unique outcome terms for the Delphi survey. The first-round included 137 parents (8 countries) and 245 surgeons (10 countries), the second-round response rates were 61% and 85% respectively, with 10 outcomes emerging with consensus. After 2 young peoples' focus groups, 2 additional outcomes were added to the final COS (12): mortality, bowel obstruction, intraabdominal abscess, recurrent appendicitis, complicated appendicitis, return to baseline health, readmission, reoperation, unplanned appendectomy, adverse events related to treatment, major and minor complications.
CONCLUSION: An evidence-informed COS based on international consensus, including patients and parents has been developed. This COS is recommended for all future studies evaluating treatment ofsimple appendicitis in children, to reduce heterogeneity between studies and facilitate data synthesis and evidence-based decision-making.
RESEARCH DESIGN & METHODS: Here, we present an interesting case of a 22-year-old woman treated with FMT primarily to treat recurrent Clostridioides difficile infection, which coincidentally alleviated her ADHD symptoms. We also present the pre- and post-FMT gut microbiota profiles conducted using shotgun metagenomic sequencing on the patient's fecal samples to thereby highlight potential microbial-associated mechanisms associated with the relief of ADHD symptoms.
RESULTS & CONCLUSIONS: Our case report provides preliminary evidence regarding the use of FMT in a patient with C. difficile and ADHD. We speculate that gut microbiome modulation, in particular the gain or loss of specific microbial species and pathways involving the metabolism of SCFAs, tryptophan and GABA, may merit further exploration as a potential therapeutic strategy for ADHD.
METHODS: In this descriptive, retrospective study, we selected all prostate biopsies received by the diagnostic pathology department of a tertiary hospital in Malaysia in the year 2020, from adult patients for analysis. Data on demographics, specimen preparation processes, and final histopathological diagnosis was extracted from the Laboratory Information System (LIS). The cost incurred for each biopsy diagnosed as cancer was calculated with the cost prices referenced from laboratory documentation. Statistical analysis was performed using SPSS, version 28.
RESULTS: The total cost for detection of cancer using TR biopsy ranged from RM11.22 - RM271.02 with mean of RM47.53. The standard deviation, s is RM43.45. For TP biopsies, the total cost ranged from RM112.20 - RM349.56 with mean of RM160.85, standard deviation of RM80.37. TR biopsies had a detection rate of 43.2%, while TP biopsies had a 24.2% cancer detection rate. There is a 3.38-fold increase in costs between TR and TP biopsy.
CONCLUSION: The results show a 3.38-fold increase in costs and a reduction in cancer detection rate when comparing TR and TP biopsy. The reason for the reduced detection rate is unascertained in this study.
METHODOLOGY: This was a prospective observational study. Convenience sampling method was used to recruit all HD patients who had definitive pullthrough from January 2019 to December2020 in our institution. High-resolution anorectal manometry (HRAM) was used to record anal resting pressure (ARP), length of high-pressure zone (HPZ), and presence/absence of recto-anal inhibitory reflex (RAIR). The Paediatric Incontinence/Constipation Scoring System (PICSS) was scored for all participants. PICSS is a validated questionnaire with scores mapped to an age-specific normogram to denote constipation, incontinence, and their combinations. Non-parametric and chi-square tests at significance p<0.05 were conducted to examine the relationship between PICSS categories and manometry findings. Ethical approval was obtained.
RESULTS: There were 32 participants (30 boys). Median age at participation was 26.5 months (range: 13.8-156). Twenty-four (75%) had transanal pullthrough, 8(25%) underwent Duhamel procedure. PICSS scored 10(31.3%) as normal, 8(25%) as constipation, 10(31.3%) as incontinent, and 4(12.5%) as mixed. RAIR was present in 12 patients (37.5%). HPZ, maximum ARP, mean ARP were comparable across all PICSS groups without statistically significant differences. Presence of RAIR was not significantly associated with any PICSS groups (p = 0.13).
CONCLUSION: Bowel function does not appear to be significantly associated with HRAM findings after definitive pullthrough for HD, but our study is limited by small sample size. RAIR was present in 37.5% patients after pullthrough.
LEVEL OF EVIDENCE: Level II.
METHODS: Using indirect calorimetry, REE was measured at acute (≤5 days; n = 294) and late (≥6 days; n = 180) phases of intensive care unit admission. PEs were developed by multiple linear regression. A multi-fold cross-validation approach was used to validate the PEs. The best PEs were selected based on the highest coefficient of determination (R2), the lowest root mean square error (RMSE) and the lowest standard error of estimate (SEE). Two PEs developed from paired 168-patient data were compared with measured REE using mean absolute percentage difference.
RESULTS: Mean absolute percentage difference between predicted and measured REE was <20%, which is not clinically significant. Thus, a single PE was developed and validated from data of the larger sample size measured in the acute phase. The best PE for REE (kcal/day) was 891.6(Height) + 9.0(Weight) + 39.7(Minute Ventilation)-5.6(Age) - 354, with R2 = 0.442, RMSE = 348.3, SEE = 325.6 and mean absolute percentage difference with measured REE was: 15.1 ± 14.2% [acute], 15.0 ± 13.1% [late].
CONCLUSIONS: Separate PEs for acute and late phases may not be necessary. Thus, we have developed and validated a PE from acute phase data and demonstrated that it can provide optimal estimates of REE for patients in both acute and late phases.
TRIAL REGISTRATION: ClinicalTrials.gov NCT03319329.
INTRODUCTION: Artificial intelligence (AI) is a relatively new technology that has widespread use in dentistry. The AI technologies have primarily been used in dentistry to diagnose dental diseases, plan treatment, make clinical decisions, and predict the prognosis. AI models like convolutional neural networks (CNN) and artificial neural networks (ANN) have been used in endodontics to study root canal system anatomy, determine working length measurements, detect periapical lesions and root fractures, predict the success of retreatment procedures, and predict the viability of dental pulp stem cells. Methodology. The literature was searched in electronic databases such as Google Scholar, Medline, PubMed, Embase, Web of Science, and Scopus, published over the last four decades (January 1980 to September 15, 2021) by using keywords such as artificial intelligence, machine learning, deep learning, application, endodontics, and dentistry.
RESULTS: The preliminary search yielded 2560 articles relevant enough to the paper's purpose. A total of 88 articles met the eligibility criteria. The majority of research on AI application in endodontics has concentrated on tracing apical foramen, verifying the working length, projection of periapical pathologies, root morphologies, and retreatment predictions and discovering the vertical root fractures.
CONCLUSION: In endodontics, AI displayed accuracy in terms of diagnostic and prognostic evaluations. The use of AI can help enhance the treatment plan, which in turn can lead to an increase in the success rate of endodontic treatment outcomes. The AI is used extensively in endodontics and could help in clinical applications, such as detecting root fractures, periapical pathologies, determining working length, tracing apical foramen, the morphology of root, and disease prediction.
MATERIALS AND METHODS: This was a retrospective study of BK or Fuchs endothelial dystrophy (FED) patients who underwent DSEK or PK from 2015 to 2019 in Kuala Lumpur Hospital with a minimal post-operative follow-up of 2 years. Outcome measures included best-corrected visual acuity (BCVA), graft survival and complications. A total of 26 DSEK cases and 32 PK cases were included.
RESULTS: At 2 years, graft survival rates were quite similar in two groups (DSEK 80.8% vs PK 75%, p=0.765). The mean follow-up period was 35.2 months in DSEK and 31.4 months for PK (p=0.465). The cumulative survival rates were slightly higher in the DSEK group (DSEK 73.1% vs PK 53.1%, p=0.119), but the result was not statistically significant. Postoperative complications were associated with higher graft failure in both groups (p=0.019). DSEK group has better post-operative BCVA (LogMAR DSEK 0.42 vs PK 0.83, p=0.003).
CONCLUSION: Similar graft survival rates were observed with both corneal transplant techniques for 2 years among Malaysian patients with BK. Post-operative complications can cause a higher risk of graft failure. DSEK produced better post-operative BCVA compared to PK.
MATERIALS AND METHODS: 18F-FDG PET/CT images of 14 healthy control (HC) subjects (MoCA score > 26 (mean+SD~ 26.93+0.92) with no clinical evidence of cognitive deficits or neurological disease) and 16 AD patients (MoCA ≤22 (mean+SD~18.6+9.28)) were pre-processed in SPM12 while using our developed Malaysian healthy control brain template. The AD patients were assessed for disease severity using ADAS-Cog neuropsychological test. KNE96 template was used for registration-induced deformation in comparison with the ICBM templates. All deformation fields were corrected using the Malaysian healthy control template. The images were then nonlinearly modified by DARTEL to segment grey matter (GM), white matter (WM) and cerebrospinal fluid (CSF) to produce group-specific templates. Age, intracranial volume, MoCA score, and ADASCog score were used as variables in two sample t test between groups. The inference of our brain analysis was based on a corrected threshold of p<0.001 using Z-score threshold of 2.0, with a positive value above it as hypometabolic. The relationship between regional atrophy in GM and WM atrophy were analysed by comparing the means of cortical thinning between normal control and three AD stages in 15 clusters of ROI based on Z-score less than 2.0 as atrophied.
RESULTS: One-way ANOVA indicated that the means were equal for TIV, F(2,11) = 1.310, p=0.309, GMV, F(2,11) = 0.923, p=0.426, WMV, F(2,11) = 0.158, p=0.856 and CSF, F(2,11) = 1.495 p=0.266. Pearson correlations of GM, WM and CSF volume between HC and AD groups indicated the presence of brain atrophy in GM (p=-0.610, p<0.0001), WM (p=-0.178, p=0.034) and TIV (p=-0.374, p=0.042) but showed increased CSF volume (p=0.602, p<0.0001). Voxels analysis of the 18FFDG PET template revealed that GM atrophy differs significantly between healthy control and AD (p<0.0001). Zscore comparisons in the region of GM & WM were shown to distinguish AD patients from healthy controls at the prefrontal cortex and parahippocampal gyrus. The atrophy rate within each ROI is significantly different between groups (c2=35.9021, df=3, p<0.0001), Wilcoxon method test showed statistically significant differences were observed between Moderate vs. Mild AD (p<0.0001), Moderate AD vs. healthy control (p=0.0005), Mild AD vs. HC (p=0.0372) and Severe AD vs. Moderate AD (p<0.0001). The highest atrophy rate within each ROI between the median values ranked as follows severe AD vs. HC (p<0.0001) > mild AD vs. HC (p=0.0091) > severe AD vs. moderate AD (p=0.0143).
CONCLUSION: We recommend a reliable method in measuring the brain atrophy and locating the patterns of hypometabolism using a group-specific template registered to a quantitatively validated KNE96 group-specific template. The studied regions together with neuropsychological test approach is an effective method for the determination of AD severity in a Malaysian population.
MATERIAL AND METHODS: This is a cross-sectional study on NAFLD patients who had a liver biopsy and LSM on the same day. The diagnostic performance of the Hepamet fibrosis score was evaluated using the area under the receiver operating characteristic curve (AUROC).
RESULTS: The data for 196 patients were analyzed (mean age 50 ± 11 years old, 50% men, 56.6% Malay, 27.6% Chinese, 15.8% Indian, 67.9% NASH, 15.8% advanced liver fibrosis). The AUROC of Hepamet fibrosis score for the diagnosis of advanced liver fibrosis was 0.85 (95% CI, 0.80 - 0.91). Using the <0.12 and ≥0.47 cut-offs from the original study, the sensitivity, specificity, positive predictive value, negative predictive value, the proportion of indeterminate results and misclassification rate were 81.8%, 91.8%, 47.4%, 98.2%, 32.1% and 6.1%, respectively. Using LSM <10 kPa and ≥15 kPa for the diagnosis of absence and presence of advanced liver fibrosis, respectively, in patients with Hepamet fibrosis score ≥0.47 (i.e., the two-step approach) reduced indeterminate results and misclassification to 16.1% and 3.6%, respectively.
CONCLUSIONS: We found the Hepamet fibrosis score to have good diagnostic accuracy in a population that was largely unrepresented in earlier work and demonstrated its utility in a two-step approach with LSM for the diagnosis of advanced liver fibrosis.