CASE PRESENTATION: Herein, we report a case of very severe hypertriglyceridemia 32 mmol/L (2834 mg/dL) detected incidentally at three months old in an otherwise well boy born late preterm with intrauterine growth restriction, when he presented with lipaemic plasma. He was later diagnosed with CLS. No pathogenic mutations were found for hypertriglyceridemia, and no secondary causes could explain his very severe hypertriglyceridemia.
CONCLUSIONS: The very severe hypertriglyceridemia in this case may appear to be a serious presentation of an unrecognised clinical feature of CLS, further expanding its phenotype.
METHODS: We conducted a systematic review to evaluate the diagnostic accuracy of the LDH/ADA ratio in differentiating TPE and PPE. We explored the PubMed and Scopus databases for studies evaluating the LDH/ADA ratio in differentiating TPE and PPE.
RESULTS: From a yield of 110 studies, five were included for systematic review. The cutoff value for the LDH/ADA ratio in TPE ranged from <14.2 to <25. The studies demonstrated high heterogeneity, precluding meta-analysis. Quality Assessment of Diagnostic Accuracy Studies Tool 2 assessment revealed a high risk of bias in terms of patient selection and index test.
CONCLUSION: LDH/ADA ratio is a potentially useful parameter to differentiate between TPE and PPE. Based on the limited data, we recommend an LDH/ADA ratio cutoff value of <15 in differentiating TPE and PPE. However, more rigorous studies are needed to further validate this recommendation.
METHODS: Patients with midshaft clavicular fractures treated non-operatively between 16 and 50 years old with no prior AC joint problems were assessed. Demographics, hand dominance, type of occupation, and smoking status were documented. Functional scoring using DASH score, CM score, and radiological evaluation was done with special tests to diagnose AC joint arthrosis. Two or more positive special tests were considered significant for this study.
RESULTS: 101 patients were recruited, 83 male and 18 female patients. The average age of 34.7 ± 13.93 years. The average follow-up was 32.7 months (range: 24-75; SD ± 9.9 months). 48.5% were blue-collar workers, and 60.4% involved the dominant upper limb. 44.6% were cigarette smokers. There was 20 mm and more shortening in 21.8% of subjects. 40.6% had a significant special test, and 36.6% had radiological changes of AC joint osteoarthritis. Positive two or more special tests were significantly associated with radiological evidence of arthrosis (p = .00). The mean DASH score was 28.28 ± 17.4, and the mean CM score was 27.58 ± 14.34. Most have satisfactory to excellent scores. Hand dominance, smoking, and blue-collar work were significantly associated with poorer CM scores, and hand dominance was significant for Dash scores.
CONCLUSION: There is an equal distribution poor, satisfactory and excellent functional outcomes in patients with midshaft clavicle fractures treated non-operatively. The poor outcomes may be attributed to ACJ arthrosis. Hand dominance, smoking and blue-collar work affected the functional outcome. Shortening of the clavicle had no bearing on the clinical and radiological findings of osteoarthritis and functional scores. The presence of two or more positive special tests is an accurate predictor of AC joint arthritis.
OBJECTIVE: This study aims to provide general information on the trends of the studies on JE as well as an overall perspective on the development of this topic by utilising a bibliometric analytic approach.
METHOD: A bibliometric evaluation was conducted in the JE field since the first publication was documented in the Scopus database. The information retrieved examines 1572 JE papers from a variety of perspectives, including citation and publishing metrics.
RESULTS: The research results pinpoint the most productive countries, universities, journals, authors, and JE articles. The study also classified the most important themes and offered some recommendations for further research.
CONCLUSION: The study provided a snapshot of JE patterns and trajectories from 1993 to 2020, which can help academics and practitioners figure out the pattern and direction of future research. To the best of our knowledge, no other study examines the bibliographic data on JE and thus this work is one of the first contributions to the literature.
OBJECTIVE: This study aims to examine the association between the spatio-temporal distribution of leptospirosis hotspot areas from 2011 to 2019 with the hydroclimatic factors in Selangor using the geographical information system and remote sensing techniques to develop a leptospirosis hotspot predictive model.
METHODS: This will be an ecological cross-sectional study with geographical information system and remote sensing mapping and analysis concerning leptospirosis using secondary data. Leptospirosis cases in Selangor from January 2011 to December 2019 shall be obtained from the Selangor State Health Department. Laboratory-confirmed cases with data on the possible source of infection would be identified and georeferenced according to their longitude and latitudes. Topographic data consisting of subdistrict boundaries and the distribution of rivers in Selangor will be obtained from the Department of Survey and Mapping. The ArcGIS Pro software will be used to evaluate the clustering of the cases and mapped using the Getis-Ord Gi* tool. The satellite images for rainfall and land surface temperature will be acquired from the Giovanni National Aeronautics and Space Administration EarthData website and processed to obtain the average monthly values in millimeters and degrees Celsius. Meanwhile, the average monthly river hydrometric levels will be obtained from the Department of Drainage and Irrigation. Data are then inputted as thematic layers and in the ArcGIS software for further analysis. The artificial neural network analysis in artificial intelligence Phyton software will then be used to obtain the leptospirosis hotspot predictive model.
RESULTS: This research was funded as of November 2022. Data collection, processing, and analysis commenced in December 2022, and the results of the study are expected to be published by the end of 2024. The leptospirosis distribution and clusters may be significantly associated with the hydroclimatic factors of rainfall, land surface temperature, and the river hydrometric level.
CONCLUSIONS: This study will explore the associations of leptospirosis hotspot areas with the hydroclimatic factors in Selangor and subsequently the development of a leptospirosis predictive model. The constructed predictive model could potentially be used to design and enhance public health initiatives for disease prevention.
INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): PRR1-10.2196/43712.