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Objective To explore the development and validation of a prediction model for severe communi-ty-acquired pneumonia in adults based on peripheral blood inflammatory indicators.Methods Venous blood samples of 204 community-acquired pneumonia in adults patients admitted to 7 hospitals in Chongqing area from April 2021 to August 2022 were collected to detect C-reactive protein(CRP),peripheral white blood cell count(WBC),neutrophil to lymphocyte ratio(NLR),cytokines,lymphocyte subgroups and neutrophil CD64 index.All of patients were divided into a training group and a validation group according to the time of admis-sion.Univariate and multivariate Logistic regression were used to analyze the data of the training group,the characteristic factors of severe progression for pneumonia were selected to construct the nomogram model,and the data of the validation group was used to verify the model.The receiver operating characteristic(ROC)curve,calibration curve and decision curve analysis(DCA)were used to evaluate the prediction ability of the model for severe community-acquired pneumonia in adults.Results Logistic regression analysis showed that age,CRP,WBC,interleukin(IL)-4/interferon gamma ratio and IL-6/IL-10 ratio were independent risk factors for severe community-acquired pneumonia in adults.The area under the ROC curve of the nomogram model in the training group and the validation group was 0.893 and 0.880,respectively.The calibration curve and DCA results shown that the model had a good prediction effect for severe community-acquired pneumonia in adults.Conclusion The inflammatory indicators included in this model are simple and easy to obtain clinically.This model with good differentiation and accuracy,it can be used as a practical tool to predict severe community-ac-quired pneumonia in adults,and has certain clinical application value.
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【Objective】 To explore the recruitment and retention strategy of blood donors by investigating the age composition of blood donors in some areas of China, so as to promote blood donation and enhance clinical blood supply. 【Methods】 Through the working platform of Practice Comparison Working Group of China’s Mainland Blood Collection and Supply Institutions, the average age and age composition of blood donors from 22 blood centers were collected, and statistical analysis was conducted after eliminating invalid data. 【Results】 The median average age of blood donors during the survey year was 30.02.The median age in 2.89% of the blood centers was lower than 25. The average age of different genders was statistically significant only in 2018(P<0.05). Fot first-time blood donors, the median constituent ratio of donors <25 and ≥25 years old was 54.53% and 44.28%, with median retention rate at 10.30% and 9.61%, respectively. The median overall participation rate of blood donors was 2.7%, with median participation rate of blood donors <25 years old at 5.1%. 【Conclusion】 The recruitment and retention of blood donor is crucial to enhance clinical blood supply. Blood donors <25 years old, with a longer period for future donation, should be the main target of blood donation recruitment. Meanwhile, the revision of upper age limit for blood donation is another important initiative to grow the blood donor pool.