Introduction:The management of COVID-19 patients requires efficiency and accuracy in methods of detection, identification, monitoring, and treatment feasible in every hospital. Aside from clinical presentations and laboratory markers, chest x-ray imaging could also detect pneumonia caused by COVID-19. It is also a fast, simple, cheap, and safe modality used for the management of COVID-19 patients. Established scoring systems of COVID-19 chest x-ray imaging include Radiographic Assessment of Lung Edema (RALE) and Brixia classification. A modified scoring system has been adopted from BRIXIA and RALE scoring systems and has been made to adjust the scoring system needs at Dr. Soetomo General Hospital, Indonesia. This study aims to determine the value of scoring systems through chest x-ray imaging in evaluating the severity of COVID-19. Methods: Data were collected from May to June of 2020 who underwent chest x-ray evaluation. Each image is then scored using three types of classifications: modified score, RALE score, and Brixia score. The scores are then analyzed and compared with the clinical conditions and laboratory markers to determine their value in evaluating the severity of COVID-19 infection in patients. Results: A total of 115 patients were males (51.1%) and 110 were females (48.9%). All three scoring systems are significantly correlated with the clinical severity of the disease, with the strengths of correlation in order from the strongest to weakest as Brixia score (p<0.01, correlation coefficient 0.232), RALE score (p<0.01, correlation coefficient 0.209), and Dr. Soetomo General Hospital score (p<0.01, correlation coefficient 0.194). All three scoring systems correlate significantly with each other. Dr. Soetomo General Hospital score correlates more towards Brixia score (p<0.01, correlation coefficient 0.865) than RALE score (p<0.01, correlation coefficient 0.855). Brixia to RALE score correlates with a coefficient of 0.857 (p<0.01). Conclusion:The modified scoring system can help determine the severity of the disease progression in COVID-19 patients especially in areas with shortages of facilities and specialists.

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Data is the basis of research. On the other side, the world has a problem of replication. The first problem is we don’t really know how to manage our own data to able to reanalyze it at some point after the research has been finished. The lifetime of data is very short, in only one or two fiscal years. In this article we will describe on how to write a research data management in order to extend the lifetime of data. There are seven basic components to remember before writing a proper research data management: (1) Data storage and software, (2) Metadata, (3) Structure, (4) Persistent link, (5) Licensing, (6) Data maintainer, (7) Indexing. In several fields, including medicine, an anomyzation strategy will be needed. We also need to put into account the Intellectual Property Rights and data ownership in to the equation, as Indonesian scientists are not properly exposed to those subjects.

This study aims to assess the prevalence, clinical, and ultrasonography (US) in thyroid screening in healthy subjects with general symptoms of thyroid abnormality in low iodine intake in Bajulmati primary care center, East Java Indonesia. We retrospectively reviewed US thyroid examination of 74 subjects with symptoms of mass in the neck, shaky, sleep difficulties, over sweating, and chronic fatigue on September 15 th , 2021. Following the WHO guidelines, subjects also underwent physical examination in which the result were classified into 3 categories, that is, no palpable nor visible goiter, palpable but no visible goiter, as well as palpable and visible goiter. We evaluate US thyroid characteristics following Korean Society of Thyroid Radiology guidelines. Image analysis was reviewed by 4 general radiologists with 2 to 13 years’ experience. Categorical variables were compared using chi-squared or Fisher exact tests. Correlation between variables was measured with gamma statistics. Statistical analyses were conducted using IBM SPSS Statistics 23.0. A P -value < .05 was considered to indicate statistical significance. Of the 74 subjects, 32 (43.2%) show abnormalities. Statistical analysis showed no significant differences in the result of thyroid US in subjects with complaint fatigue ( P = .464), insomnia ( P = .777), over sweating ( P = .158), and tremor ( P = .778), but there were significant differences with the complaint of mass in the neck ( P = .008). Furthermore, there was also a strong correlation between goiter palpation and US thyroid result ( R = 0.773, P = .00). We conclude there were significant differences in US result of patients with and without complaint of mass in the neck. We also found a strong correlation between goiter palpation and US examination. Clinical findings, laboratory examination, cytology and molecular markers, patients’ age, nodules size, and ultrasound features should be considered for the treatment planning.