METHODOLOGY: The Asia Pacific Evaluation of Cardiovascular Therapies (ASPECT) collaboration consists of data from various PCI registries across Australia, Hong Kong, Singapore, Malaysia, Indonesia and Vietnam. Clinical characteristics, lesion characteristics, and outcomes were provided for STEMI patients. Key outcomes included 30-day overall mortality and major adverse cardiovascular events (MACE).
RESULTS: A total of 12,144 STEMI patients (mean(SD) age 59.3(12.3)) were included, of which 3912 (32.2%) had diabetes. Patients with diabetes were likely to have a higher baseline risk profile, poorer clinical presentation, and more complex lesion patterns (all p
CASE: A 32-year-old woman, Gravida 1 Para 0, was referred to our center at 7 weeks gestation in 2018 for uncontrolled diabetes mellitus diagnosed during investigation for subfertility. Her poor compliance with the treatment is consistent with an HbA1c of 8%. During the assessment, she was already complaining of lower abdominal pain. Ultrasound showed irregular IUGS with no fetal echo. She had a miscarriage soon; however, due to ultrasound evidence of thickened and irregular endometrium (17 mm) with mixed echogenicity, dilatation and curettage (D + C) were commenced. The first and second tissues were reported as the product of conception (POC) and well differentiated endometrioid adenocarcinoma, respectively. The first hysteroscopy showed foci area of polypoidal growth at the right posterior endometrium, obscuring the right ostium, with similar histology report. She was commenced on high-dose progestogen with hysteroscopy surveillance 6 months later, which showed disease regression. After two normal hysteroscopies and endometrial biopsies with continuous progestogen therapy for 12 months, cyclical progestogen for 12 months and follow-up for another 6 months, she had spontaneous conception and is currently pregnant at 16 weeks gestation.
CONCLUSION: Endometrial cancer should be suspected in high-risk patients with first-trimester miscarriage. Individualized treatment with high dose progestogen and follow-up with the proper patient and partner counselling and education has high successful regressionand later on, pregnancy rate.
METHODS: The specific PIO questions were as follows: Population: Patients with periapical periodontitis either before or after non-surgical endodontic therapy.
INTERVENTION: IR performed with retrograde preparation and retrograde filling.
OUTCOMES: the healing, treatment complications, and the factors influencing these outcomes after IR. Electronic and hand searches were performed in the Web of Science, PubMed, CINAHL, and Cochrane Library databases. Two authors independently screened the titles and abstracts for eligibility. The risk of bias was performed using the NIH Quality Assessment Tool, and each study was rated as "Good", "Fair" or "Poor". The analyses were performed on the treatment outcome (healing and complications), and the factors influencing the outcome of the procedure.
RESULTS: Fourteen articles were included in the qualitative and quantitative syntheses. One was a prospective cohort study, and the other 13 were retrospective cohort studies. Overall, the evidence of this review was of poor-to-fair quality. The pooled healing rate was 80.2%, and there was a 21.7% of complication rate. Longer follow-up period, the presence of perio-endo disease, the use of non-bioceramic material as retrograde filling, longer extraoral time, and maxillary molar were found to be associated with lower healing rates. However, the differences between the subgroups were not statistically significant.
CONCLUSIONS: The present review showed IR yielded a good overall healing rate with a low complication rate. Taking the quality of evidence into account, more high-quality studies are required to evaluate the validity of the factors that may influence the treatment outcome of IR.
RESULT: We tested Naive Bayes, Logistic Regression, KNN, J48, Random Forest, SVM, and Deep Neural Network algorithms to ASD screening dataset and compared the classifiers' based on significant parameters; sensitivity, specificity, accuracy, receiver operating characteristic, area under the curve, and runtime, in predicting ASD occurrences. We also found that most of previous studies focused on classifying health-related dataset while ignoring the missing values which may contribute to significant impacts to the classification result which in turn may impact the life of the patients. Thus, we addressed the missing values by implementing imputation method where they are replaced with the mean of the available records found in the dataset.
CONCLUSION: We found that J48 produced promising results as compared to other classifiers when tested in both circumstances, with and without missing values. Our findings also suggested that SVM does not necessarily perform well for small and simple datasets. The outcome is hoped to assist health practitioners in making accurate diagnosis of ASD occurrences in patients.