• 已选条件:
  • × Ping Wang
  • × Frontiers in Medicine
  • × 2023
 全选  【符合条件的数据共:4条】

Frontiers in Medicine,2023年

Mengyan Zhu, Jiaqi Wang, Hong Shen, Liuyu Li, Ping Wang, Hongyu Zhou, Yanqing Wang

LicenseType:Unknown |

预览  |  原文链接  |  全文  [ 浏览:0 下载:0  ]    

BackgroundFollicular mucinosis (FM) is generally divided into a primary benign idiopathic form and a secondary form associated with mycosis fungoides.ObjectiveTo analyze the clinical and pathological features of FM and explore the pathological significance of CD103 expression.MethodsIn this case series, we retrospective analysis the clinical, pathological, treatment and follow-up treatment of 15 cases of FM. The expression of CD103 in all cases was detected by immunohistochemistry.ResultA total of 15 patients were enrolled, 7 were primary follicular mucinosis (P-FM) and 8 were mycosis fungoides-associated follicular mucinosis (MF-FM). Lesions of both P-FM and MF-FM are difficult to distinguish, present with red or dark red plaques and follicular papules. Pathologically, MF-FM showed more significant infiltrates of folliculotropic lymphoid cells, and the amount and proportion of CD103+ cells were significantly higher than that in P-FM. Follow-up data were available for 13 patients. Three cases were resolved after surgical resection, two patients were marked improved after oral administration of hydroxychloroquine and three times ALA photodynamic therapy respectively. The rest patients showed only modest efficacy.ConclusionFM should be differentiated based on pathological characteristics and treatment response, CD103 is helpful in differential diagnosis of FM.

    Frontiers in Medicine,2023年

    Yuchen Shi, Jinghua Liu, Ze Zheng, Ping Wang, Yanci Liu, Yongxin Wu

    LicenseType:Unknown |

    预览  |  原文链接  |  全文  [ 浏览:0 下载:0  ]    

    BackgroundCoronavirus disease 2019 (COVID-19) is an infectious disease spreading rapidly worldwide. As it quickly spreads and can cause severe disease, early detection and treatment may reduce mortality. Therefore, the study aims to construct a risk model and a nomogram for predicting the mortality of COVID-19.MethodsThe original data of this study were from the article “Neurologic Syndromes Predict Higher In-Hospital Mortality in COVID-19.” The database contained 4,711 multiethnic patients. In this secondary analysis, a statistical difference test was conducted for clinical demographics, clinical characteristics, and laboratory indexes. The least absolute shrinkage and selection operator (LASSO) and multivariate logistic regression analysis were applied to determine the independent predictors for the mortality of COVID-19. A nomogram was conducted and validated according to the independent predictors. The area under the curve (AUC), the calibration curve, and the decision curve analysis (DCA) were carried out to evaluate the nomogram.ResultsThe mortality of COVID-19 is 24.4%. LASSO and multivariate logistic regression analysis suggested that risk factors for age, PCT, glucose, D-dimer, CRP, troponin, BUN, LOS, MAP, AST, temperature, O2Sats, platelets, Asian, and stroke were independent predictors of CTO. Using these independent predictors, a nomogram was constructed with good discrimination (0.860 in the C index) and internal validation (0.8479 in the C index), respectively. The calibration curves and the DCA showed a high degree of reliability and precision for this clinical prediction model.ConclusionAn early warning model based on accessible variates from routine clinical tests to predict the mortality of COVID-19 were conducted. This nomogram can be conveniently used to facilitate identifying patients who might develop severe disease at an early stage of COVID-19. Further studies are warranted to validate the prognostic ability of the nomogram.

      Frontiers in Medicine,2023年

      Ping Wang, Zijun Wang, Xuan Yu, Kehu Yang, Zhe Wang, Yue Hu, Xingrong Liu, Hui Lan, Junxian Zhao, Ling Wang, Renfeng Su, Yajia Sun, Shouyuan Wu, Mengjuan Ren, Yaolong Chen

      LicenseType:Unknown |

      预览  |  原文链接  |  全文  [ 浏览:0 下载:0  ]    

      ObjectivesTo systematically analyze the use of evidence assessment tools in systematic reviews of management and education.Study design and settingWe systematically searched selected literature databases and websites to identify systematic reviews on management and education. We extracted general information of the included studies and information about the evidence assessment tool they applied, including whether it was used for methodological quality assessment, reporting quality assessment or evidence grading, as well as the name, reference, publication year, version and original intended use of the tool, the role of the tool in the systematic review, and whether the quality determination criteria were given.ResultsA total of 299 systematic reviews were included, of which only 34.8% used evidence assessment tools. A total of 66 different evidence assessment tools were used, of which Risk of Bias (ROB) and its updated version (n = 16, 15.4%) were the most frequent. The specific roles of the evidence assessment tools were reported clearly in 57 reviews, and 27 reviews used two tools.ConclusionEvidence assessment tools were seldom used in systematic reviews in social sciences. The understanding and reporting of evidence assessment tools among the researchers and users still needs improvement.

        Frontiers in Medicine,2023年

        Xiaocui Zou, Xiangyuan Sun, Tao Yin, Boting Zhou, Ping Wang

        LicenseType:Unknown |

        预览  |  原文链接  |  全文  [ 浏览:0 下载:0  ]    

        BackgroundBloodstream infections (BSIs) caused by carbapenem-resistant Klebsiella pneumoniae (CRKP) have received much attention. However, few studies have identified risk factors for CRKP BSIs in comparison to CRKP non-bloodstream infections (non-BSIs). This study aimed to compare the epidemiology, risk factors, and outcomes of CRKP BSIs and CRKP non-BSIs.MethodsWe conducted a retrospective study of patients infected with CRKP in the ICU from January 2012 to December 2020. Clinical characteristics and outcomes were compared between CRKP BSIs and CRKP non-BSIs. Predictors associated with 28-day all-cause mortality in CRKP-infected patients were also evaluated.Results326 patients infected with CRKP were enrolled, including 96 patients with CRKP BSIs and 230 with CRKP non-BSIs. The rates of CRKP BSIs in CRKP infections were generally raised from 2012 (12.50%) to 2020 (45.76%). Multivariate logistic analysis indicated that the use of carbapenems within the prior 90 days was an independent risk factor for CRKP BSIs (p = 0.019). Compared to CRKP non-BSIs, CRKP isolates in the CRKP BSI group were found to be non-susceptible to more tested carbapenems (p = 0.001). Moreover, the CRKP BSI group exhibited a higher mortality rate (p = 0.036). The non-susceptibility of CRKP isolates to more tested carbapenems (p = 0.025), a high SOFA score (p = 0.000), and the use of antifungal drugs within the prior 90 days (p = 0.018) were significant factors for 28-day all-cause mortality in CRKP-infected patients.ConclusionThe proportion of CRKP BSI increased progressively in CRKP-infected patients over 9 years. The use of carbapenems within the prior 90 days was an independent risk factor for the development of CRKP BSIs. The non-susceptibility of CRKP isolates to more tested carbapenems and a higher mortality rate were found in the CRKP BSI group.