RESUMO
Recently, biologic therapy has become a major advance in the management of moderate-to-severe psoriasis. Although the overall safety profile of biologics is favorable, primary infection or reactivation of latent tuberculosis (TB) is the major concern in the setting of tumor necrosis factor-alpha inhibitor therapy. Therefore, the treatment of latent tuberculosis infection (LTBI) before starting biologics is mandatory to prevent the reactivation of LTBI. A 27-year-old female was treated with adalimumab due to psoriasis. As latent TB was detected by the interferon-γ release assay, we started isoniazid treatment (300 mg/day) 3 weeks before starting adalimumab and maintained this for 6 months. Although the patient's psoriatic skin lesions improved, after 45 weeks of adalimumab therapy, she visited the emergency department because of fever and back pain for 2 weeks. Abdominopelvic computed tomography (CT) and chest CT revealed multiple nodular lesions on both lungs, peritoneal wall, mesentery, and spleen, along with ascites. In the ascitic fluid, adenosine deaminase was increased to 96.4 U/L, and Mycobacterium tuberculosis grew in an acid-fast bacilli culture. The patient was diagnosed with disseminated TB and treated with conventional TB medication with discontinuation of adalimumab. Five months after the completion of TB treatment, the ustekinumab, an interleukin (IL)-12/IL-23 inhibitor, was administered. Until now, her skin lesions are under excellent control without reactivation of TB for 9 months after starting ustekinumab.
RESUMO
BACKGROUND: Recently, the number of nationwide medical researches on psoriasis using the National Health Insurance Service database has been on the rise. However, identification of psoriasis using diagnostic codes alone can lead to misclassification. Accuracy of the diagnostic codes and their concordance with medical records should be validated first to identify psoriasis patients correctly. OBJECTIVE: To validate the diagnostic codes of psoriasis (International Classification of Diseases, 10th Revision L40) and to find the algorithm for the identification of psoriasis. METHODS: We collected medical records of patients who received their first diagnostic codes of psoriasis during 5 years from five hospitals. Fifteen percent of psoriasis patients were randomly selected from each hospital. We performed a validation by reviewing medical records and compared 5 algorithms to identify the best algorithm. RESULTS: Total of 538 cases were reviewed and classified as psoriasis (n=368), not psoriasis (n=159), and questionable (n=11). The most accurate algorithm was including patients with ≥1 visits with psoriasis as primary diagnostic codes and prescription of vitamin D derivatives. Its positive predictive value was 96.5% (95% confidence interval [CI], 93.9%~98.1%), which was significantly higher than those of the algorithm, including patients with ≥1 visits with psoriasis as primary diagnostic codes or including ≥1 visits with diagnostic codes of psoriasis (primary or additional) (91.0% and 69.8%). Sensitivity was 90.8% (95% CI, 87.2%~93.4%) and specificity was 92.5% (95% CI, 86.9%~95.9%). CONCLUSION: Our study demonstrates a validated algorithm to identify psoriasis, which will be useful for the nationwide population-based study of psoriasis in Korea.
RESUMO
This paper deals with an improved methodology to measure three-dimensional dynamic displacements of a structure by digital close-range photogrammetry. A series of stereo images of a vibrating structure installed with targets are taken at specified intervals by using two daily-use cameras. A new methodology is proposed to accurately trace the spatial displacement of each target in three-dimensional space. This method combines the correlation and the least-square image matching so that the sub-pixel targeting can be obtained to increase the measurement accuracy. Collinearity and space resection theory are used to determine the interior and exterior orientation parameters. To verify the proposed method, experiments have been performed to measure displacements of a cantilevered beam excited by an electrodynamic shaker, which is vibrating in a complex configuration with mixed bending and torsional motions simultaneously with multiple frequencies. The results by the present method showed good agreement with the measurement by two laser displacement sensors. The proposed methodology only requires inexpensive daily-use cameras, and can remotely detect the dynamic displacement of a structure vibrating in a complex three-dimensional defection shape up to sub-pixel accuracy. It has abundant potential applications to various fields, e.g., remote vibration monitoring of an inaccessible or dangerous facility.
