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OBJECTIVE: To explore early features that can predict colchicine resistance in familial Mediterranean fever (FMF) patients. METHODS: It included FMF cases who fulfilled the Yalcinkaya-Ozen criterion and were on colchicine for at least 6 months. Data were collected from medical files and interpreted with respect to clinical parameters, incluing the auto-inflammatory diseases activity index (AIDAI) and FMF severity score. FMF50 score assessed the treatment response. Laboratory findings and genetic analysis of Mediterranean fever (MEFV) mutations were evaluated according to the standard technique. Patients were classified into two groups according to their response to colchicine. Both groups were compared, and significant variables were entered into a logistic regression model to detect independent predictors. The diagnostic accuracy of these predictors was assessed using the receiver operating characteristic curve. RESULTS: In all, 120 FMF children were included. After the exclusion of 16 non-compliant patients (13.3%), colchicine responders were 66 (63.4%) (group I) and colchicine-resistant cases (group II) were 38 (36.5%). The fever duration after colchicine, number of attacks before/after colchicine, skin rash/erysipelas-like erythema, myalgia/protracted febrile myalgia, AIDAI before/after treatment, FMF severity score, and the maximum colchicine dose were higher in group II. Furthermore, high C-reactive protein and neutropenia were frequent in group II. However, different MEFV mutations, including M694V were similar between the two groups. Eight variables were detected in the regression analysis model, and independent predictors were utilized to generate a scoring model. CONCLUSION: This study constructed a prediction model for colchicine nonresponse based on clinical and laboratory profiles. This model will be valuable for the treatment decisions of FMF children.

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Purpose: The outbreak of a new coronavirus is still spreading worldwide, affecting children and adults. However, COVID-19 in children shows distinctive characteristics in clinical and radiological presentation. We aimed to assess the diagnostic performance of chest CT and clarify the clinicoradiological CT features of COVID-19 among children with COVID-19. Material and methods: Adhering to PRISMA-DTA guidelines, we searched databases (PubMed, Google Scholar, and Web of Science) to identify relevant articles. The search keywords were: "Chest CT" AND "COVID-19" OR "coronavirus" OR "SARS-COV-2" AND "Children" OR "Pediatric". Published reports providing clinical and imaging findings of paediatric COVID-19 were included. Results: Twenty-eight studies were included, with 987 patients. Most of the patients were symptomatic (76.9%; 95% CI: 69.2-84.7%), with fever being the most frequent manifestation (64%; 95% CI: 58.0-71.2%). Only 2.3% of the cases were critical, and mortality was reported in one case. The proportion of COVID-19 detected by chest CT among children is relatively high (658/987), with ground-glass opacity (GGO) being the most prevalent feature (52.5%; 95% CI: 40.5-64.7%). The pooled sensitivity of chest CT in all patients was 67%; however, it was different between symptomatic and asymptomatic patients (71% and 33%, respectively). The pooled specificity was (67%), which was calculated after considering the symptomatic PCR-positive patients as the gold standard. Conclusions: Chest CT showed moderate pooled sensitivity and specificity among symptomatic children with COVID-19 and low sensitivity among asymptomatic children. This means that CT is not to be used as a screening tool or for confirmation of the diagnosis in children and should be reserved for specific clinical situations.

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BACKGROUND: COVID-19 pandemic became a global health problem affecting the life of millions of people all over the world. The effects of this pandemic were not only on the physical and medical aspects but also on the psychological issues including anxiety disorders, depressive manifestations, sleep problems and others. Sleep disorders were very commonly reported during the novel Coronavirus-19 pandemic either in the acute phase of COVID-19 infection or after recovery. These sleep problems might have a drastic burden on the recovered patients' life. This study aimed to investigate the sleep in the post-Coronavirus-19 period and if has an impact on the different items of patients' quality of life. This cross-sectional observational study investigated the sleep problems in 500 patients in the post recovery period using Insomnia Severity Index and Pittsburgh sleep quality index (PSQI), their relation to this critical period and their impact on different domains of Quality of Life which was assessed by the SF36 Health Survey. RESULTS: Socio-demographic characteristics of 500 post-Coronavirus-19 patients were collected; the insomnia severity index and Pittsburgh sleep quality index evaluated the sleep pattern. The quality of life was investigated using Short Form 36 scale. The study revealed high scores of insomnia severity index (13.01 ± 4.9), Pittsburgh sleep quality index (15.37 ± 4.43), also high scores of different items of scale of quality of life in the studied group. CONCLUSION: Post-COVID-19 sleep disturbances were commonly reported in the recovery period, also these sleep deficits had an impact on the physical and mental aspects of quality of life, so these sleep problems must be managed properly especially in this critical pandemic era.

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BACKGROUND: Individuals infected by the novel coronavirus (SARS-CoV-2) have experienced different psychiatric manifestations during the period of infectivity and post-COVID-19 infection. Fatigue and anhedonia are among the frequently reported manifestations after recovery from this novel viral pandemic, leading to early evaluation of those patients and proper management of their complaints which have a drastic burden on different domains of life. Also, the period after recovery might have an effect on the severity of these two psychiatric presentations. AIM OF THE WORK: This cross-sectional observational study aimed to investigate the occurrence of post-COVID-19 fatigue and anhedonia and whether the duration after 2 consecutive PCR-negative tests has an implication on the severity of the above-mentioned psychiatric manifestations. METHODS: Socio-demographic characteristics of 200 post-COVID-19 patients were collected, and also, the self-assessment anhedonia scale was used to evaluate the degree of anhedonia. Fatigue assessment scale used to investigate this domain. The study targeted to find a possible correlation between the period after recovery and the other variables including anhedonia and fatigue. RESULTS: The study revealed high scores of different subtypes of self-assessment anhedonia scale (including total intensity, total frequency, and total changes scores) in the studied group, also high score of fatigue assessment scale in those patients. Positive statistically significant correlation between anhedonia and fatigue in post-COVID-19 group, also negative statistically significant correlation between duration after recovery and the other 2 variables(anhedonia and fatigue) in the examined patients. CONCLUSION: Post-COVID-19 fatigue and anhedonia were prevalent and commonly reported in the post-COVID-19 period, also the duration after 2 consecutive negative PCR tests has an implication on the severity rating scale of both anhedonia and fatigue. These findings directed our attention to those reported manifestations which affected the socio-occupational functioning of the individuals during this whole world pandemic.

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