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  • 1
    Online Resource
    Online Resource
    American Society for Microbiology ; 2023
    In:  Microbiology Resource Announcements Vol. 12, No. 7 ( 2023-07-18)
    In: Microbiology Resource Announcements, American Society for Microbiology, Vol. 12, No. 7 ( 2023-07-18)
    Abstract: Here, we introduce UF_RH5, a novel lytic phage targeting clinically isolated Pseudomonas aeruginosa . It belongs to the Siphovirus morphology family, Septimatrevirus genus, with a 42,566-bp genome with a GC content of 53.60%, encoding 58 proteins. Under electron microscopy, UF_RH5 exhibits a length of 121 nm and a capsid size of 45 nm.
    Type of Medium: Online Resource
    ISSN: 2576-098X
    Language: English
    Publisher: American Society for Microbiology
    Publication Date: 2023
    detail.hit.zdb_id: 2968655-6
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  • 2
    Online Resource
    Online Resource
    Elsevier BV ; 2018
    In:  Respiratory Medicine Case Reports Vol. 25 ( 2018), p. 78-85
    In: Respiratory Medicine Case Reports, Elsevier BV, Vol. 25 ( 2018), p. 78-85
    Type of Medium: Online Resource
    ISSN: 2213-0071
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2018
    detail.hit.zdb_id: 2666110-X
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  • 3
    Online Resource
    Online Resource
    The Endocrine Society ; 2022
    In:  Journal of the Endocrine Society Vol. 6, No. Supplement_1 ( 2022-11-01), p. A56-A57
    In: Journal of the Endocrine Society, The Endocrine Society, Vol. 6, No. Supplement_1 ( 2022-11-01), p. A56-A57
    Abstract: There has been debate regarding the appropriate cortisol cutoffs during the cosyntropin stimulation test (CST) when the newer cortisol assays are used. Recent studies have recommended cortisol cutoffs lower than previously recommended. We aimed to evaluate the cortisol levels during the standard dose CST in patients evaluated for adrenal insufficiency and found to have a normal HPA axis using the Elecsys ® Cortisol II (Roche Diagnostics)assay. METHODS: This was a retrospective chart review study of adult patients who had the CST performed within an academic ambulatory setting from January 2018 to December 2020. They had ICD-10 codes of pituitary gland disorders in their problem list or diagnoses at the time of data extraction. Only patients with a normal HPA axis were included in the analysis, which was defined based on evaluation by an endocrinologist, restrictive exclusion criteria, and a lack of glucocorticoid administration for at least 6 months after CST. Exclusion criteria included oral glucocorticoid use within 6 months before the CST or 3 months for other routes, albumin & lt; 2.5 g/dL, liver disease, pituitary insult within 6 weeks before the CST, estrogen and opioid use within 3 months before the CST, and pregnancy. The results are reported in the median (range). Results Out of 305 patients, 63 (20.6) met the study criteria. The median age was 54.7 (27.6-89.1) years; 32 (51%) were females, and 27 (43%) were white. The duration of follow-up after the CST was 13.9 (6.3-43.9) months. Cortisol values at 30- and 60-minutes post-CST were available for 43 (68.2%), and 61 patients (96.8%), respectively. The cortisol levels at 30- and 60-minutes after the CST were 21.7 (15.7-29.1) µg/dL and 24.4 (17.9-35.8) µg/dL, respectively. The lowest cortisol levels at 30 and 60 minutes after the CST for patients with either normal TSH or gonadal axis (n=47) or in whom both axes were normal (n=18) were similar to the entire cohort. Conclusion Our study supports using a lower cortisol cutoff value at 30 minutes after the CST using the Roche Elecsys ® Cortisol II assay. The lowest cortisol level in our cohort was 15.7 ug/dL. However, the same pass criteria cannot be used at 60 minutes. Therefore, it is essential to consider the time of cortisol draw after the CST. Presentation: No date and time listed
    Type of Medium: Online Resource
    ISSN: 2472-1972
    Language: English
    Publisher: The Endocrine Society
    Publication Date: 2022
    detail.hit.zdb_id: 2881023-5
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  • 4
    In: Frontiers in Endocrinology, Frontiers Media SA, Vol. 13 ( 2022-8-18)
    Abstract: There has been debate regarding the appropriate cortisol cutoff during the cosyntropin stimulation test (CST) when newer cortisol assays are used. We aimed to evaluate the proper cortisol values during the standard dose CST in patients with normal hypothalamic-pituitary-adrenal (HPA) axis when the Elecsys ®  Cortisol II assay from Roche Diagnostics is used. Methods We retrospectively reviewed the medical records of patients evaluated for possible adrenal insufficiency using the standard-dose (250 mcg) CST from January 2018 to December 2020 and eventually judged to have a normal HPA axis. All the CSTs were done in the outpatient setting. Evaluation by an endocrinologist, restrictive exclusion criteria including prior glucocorticoid and opioid use, and lack of glucocorticoid treatment for at least 6 months after the CST was used to define normal HPA axis. The results are reported in the median (range). Results We identified 63 patients who met the inclusion criteria and were considered to have a normal HPA axis. The median age was 54.7 (27.6-89.1) years; 32 (51%) were female, and 27 (43%) were white. The duration of follow-up after the CST without any glucocorticoid replacement was 13.9 (6.3-43.9) months. Cortisol levels were 21.7 (15.7-29.1) µg/dl and 24.4 (17.9-35.8) µg/dl at 30- and 60-minutes after cosyntropin administration, respectively. The lowest cortisol levels at 30 and 60 minutes for patients with either normal TSH or gonadal axis (n=47) or in whom both axes were normal (n=18) were similar to the ones of the entire cohort. Conclusion Our study supports using a lower than previously recommended cortisol cutoff value at 30 minutes after Cosyntropin using the Roche Elecsys ®  Cortisol II assay. The lowest cortisol levels in our cohort were 15.7 and 17.9 µg/dL at 30 and 60 minutes after the CST, respectively. Therefore, it is essential to consider the time of cortisol draw after cosyntropin administration.
    Type of Medium: Online Resource
    ISSN: 1664-2392
    Language: Unknown
    Publisher: Frontiers Media SA
    Publication Date: 2022
    detail.hit.zdb_id: 2592084-4
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  • 5
    In: European Journal of Internal Medicine, Elsevier BV, Vol. 109 ( 2023-03), p. 42-49
    Type of Medium: Online Resource
    ISSN: 0953-6205
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2023
    detail.hit.zdb_id: 2026166-4
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  • 6
    Online Resource
    Online Resource
    Springer Science and Business Media LLC ; 2021
    In:  Critical Care Vol. 25, No. 1 ( 2021-12)
    In: Critical Care, Springer Science and Business Media LLC, Vol. 25, No. 1 ( 2021-12)
    Abstract: The coronavirus disease 2019 (COVID-19) pandemic caused by the SARS-Cov2 virus has become the greatest health and controversial issue for worldwide nations. It is associated with different clinical manifestations and a high mortality rate. Predicting mortality and identifying outcome predictors are crucial for COVID patients who are critically ill. Multivariate and machine learning methods may be used for developing prediction models and reduce the complexity of clinical phenotypes. Methods Multivariate predictive analysis was applied to 108 out of 250 clinical features, comorbidities, and blood markers captured at the admission time from a hospitalized cohort of patients ( N  = 250) with COVID-19. Inspired modification of partial least square (SIMPLS)-based model was developed to predict hospital mortality. Prediction accuracy was randomly assigned to training and validation sets. Predictive partition analysis was performed to obtain cutting value for either continuous or categorical variables. Latent class analysis (LCA) was carried to cluster the patients with COVID-19 to identify low- and high-risk patients. Principal component analysis and LCA were used to find a subgroup of survivors that tends to die. Results SIMPLS-based model was able to predict hospital mortality in patients with COVID-19 with moderate predictive power ( Q 2  = 0.24) and high accuracy (AUC  〉  0.85) through separating non-survivors from survivors developed using training and validation sets. This model was obtained by the 18 clinical and comorbidities predictors and 3 blood biochemical markers. Coronary artery disease, diabetes, Altered Mental Status, age  〉  65, and dementia were the topmost differentiating mortality predictors. CRP, prothrombin, and lactate were the most differentiating biochemical markers in the mortality prediction model. Clustering analysis identified high- and low-risk patients among COVID-19 survivors. Conclusions An accurate COVID-19 mortality prediction model among hospitalized patients based on the clinical features and comorbidities may play a beneficial role in the clinical setting to better management of patients with COVID-19. The current study revealed the application of machine-learning-based approaches to predict hospital mortality in patients with COVID-19 and identification of most important predictors from clinical, comorbidities and blood biochemical variables as well as recognizing high- and low-risk COVID-19 survivors.
    Type of Medium: Online Resource
    ISSN: 1364-8535
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2021
    detail.hit.zdb_id: 2051256-9
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  • 7
    Online Resource
    Online Resource
    Frontiers Media SA ; 2022
    In:  Frontiers in Public Health Vol. 10 ( 2022-8-22)
    In: Frontiers in Public Health, Frontiers Media SA, Vol. 10 ( 2022-8-22)
    Type of Medium: Online Resource
    ISSN: 2296-2565
    Language: Unknown
    Publisher: Frontiers Media SA
    Publication Date: 2022
    detail.hit.zdb_id: 2711781-9
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  • 8
    In: Archives of Iranian Medicine, Maad Rayan Publishing Company, Vol. 25, No. 6 ( 2022-06-01), p. 360-365
    Abstract: Background: Leukemia and multiple myeloma (MM) are the most common hematologic malignancies in Iran. This paper describes the geographic and temporal changes in their incidence in Golestan, northern Iran. Methods: Data on cases of leukemia and MM during 2004–2017 were obtained from the Golestan Population-based Cancer Registry (GPCR). The GPCR is a dynamic database of Golestan residents diagnosed with primary cancers. Age-standardized incidence rates (ASRs) (per 100000) of leukemia and MM were calculated using direct standardization method considering the world standard population. We used Joinpoint regression to assess incidence trends using the average annual percent change (AAPC). Results: In total, 2119 new cases of leukemia and MM were registered by the GPCR during 2004–2017. The ASRs of leukemia were 9.71 and 6.70 in males and females, respectively, while the rates were lower for MM: 2.66 and 1.97 in males and females, respectively. The incidence rates of leukemia suggested an increasing trend in urban population (AAPC=2.73; P value=0.154), while in rural area, the incidence rates were slightly decreasing (AAPC=- 0.73; P value=0.658). There were high incidence areas of leukemia in the central and western regions of Golestan. Conclusion: Our results suggested high incidence rates of leukemia and MM in the Golestan province. We also found geographical diversities and increasing trends in the incidence of leukemia in the urban population. Exposure to occupational and environmental carcinogens including pesticides may partly explain high rates and the observed trends. Further investigations should be considered to clarify these points in our population.
    Type of Medium: Online Resource
    ISSN: 1029-2977 , 1735-3947
    Language: English
    Publisher: Maad Rayan Publishing Company
    Publication Date: 2022
    detail.hit.zdb_id: 2059531-1
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  • 9
    Online Resource
    Online Resource
    MDPI AG ; 2021
    In:  Pharmaceuticals Vol. 14, No. 1 ( 2021-01-08), p. 45-
    In: Pharmaceuticals, MDPI AG, Vol. 14, No. 1 ( 2021-01-08), p. 45-
    Abstract: The melanocortin system encompasses melanocortin peptides, five receptors, and two endogenous antagonists. Besides pigmentary effects generated by α-Melanocytic Hormone (α-MSH), new physiologic roles in sexual activity, exocrine secretion, energy homeostasis, as well as immunomodulatory actions, exerted by melanocortins, have been described recently. Among the most common and burdensome consequences of chronic inflammation is the development of fibrosis. Depending on the regenerative capacity of the affected tissue and the quality of the inflammatory response, the outcome is not always perfect, with the development of some fibrosis. Despite the heterogeneous etiology and clinical presentations, fibrosis in many pathological states follows the same path of activation or migration of fibroblasts, and the differentiation of fibroblasts to myofibroblasts, which produce collagen and α-SMA in fibrosing tissue. The melanocortin agonists might have favorable effects on the trajectories leading from tissue injury to inflammation, from inflammation to fibrosis, and from fibrosis to organ dysfunction. In this review we briefly summarized the data on structure, receptor signaling, and anti-inflammatory and anti-fibrotic properties of α-MSH and proposed that α-MSH analogues might be promising future therapeutic candidates for inflammatory and fibrotic diseases, regarding their favorable safety profile.
    Type of Medium: Online Resource
    ISSN: 1424-8247
    Language: English
    Publisher: MDPI AG
    Publication Date: 2021
    detail.hit.zdb_id: 2193542-7
    SSG: 15,3
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