Nocardia is a genus of gram-positive,weakly acid-fast,filamentous aerobic actinomycetes,which mainly causes infection in immunocompromised persons. We reported a successfully treated fatal case of severe pneumonia caused by Nocardia farcinica in a hospital,then reviewed 25 domestic and abroad case reports about nocardiosis combined with severe pneumonia occurred since 2006,so as to improve health care workers'cognition on clinical manifestations,image features,pathogenic characteristics,and diagnostic and treatment schemes of se-vere pneumonia caused by Nocardia farcinica.

Objective:To study the difference in anti-hepatic fiborsis components between pre-and post-processed Trionyx Sinensis Carapace to guide the clinical application of Trionyx Sinensis Carapace. Methods:SDS-PAGE gel electrophoresis was used to compare the constituents in pre-and post-processed Trionyx Sinensis Carapace, and the inhibitory effect on the proliferation of HSC-T6 was deter-mined by MTT. Results:The processed Trionyx Sinensis Carapace had much more components than the crude Trionyx Sinensis Cara-pace,and the relative molecular mass in the first-level band decreased resulting in the generation of micromolecular polypeptides. Both pre-and post-processed Trionyx Sinensis Carapace had anti-hepatic fibrosis, while the vinegar-processed Trionyx Sinensis was more ef-fective. Conclusion:The difference in the active components in pre- and post-processed Trionyx Sinensis Carapace is obvious, which provides foundation for the clinical application and further researches.

Objective To establish the clinical reference of serum homocysteine in Xi’an region.Methods 310 cases of serum of healthy persons were collected to test the homocysteine concentrations using Enzyme circulation method.Results Health-y adult male homocysteine value was significantly higher than female and its reference range was:men 0~1 6.3 5μmol/L and women 0~12.89μmol/L.Conclusion Have established the healthy crowd in Xi’an region serum HCY reference for the re-gion’s heart cerebrovascular disease treatment and prognosis.

Objective To systematically evaluate the prognostic prediction model for chronic heart failure patients in China, and provide reference for the construction, application, and promotion of related prognostic prediction models. Methods A comprehensive search was conducted on the studies related to prognostic prediction model for Chinese patients with chronic heart failure published in The Cochrane Library, PubMed, EMbase, Web of Science, CNKI, VIP, Wanfang, and the China Biological Medicine databases from inception to March 31, 2023. Two researchers strictly followed the inclusion and exclusion criteria to independently screen literature and extract data, and used the prediction model risk of bias assessment tool (PROBAST) to evaluate the quality of the models. Results A total of 25 studies were enrolled, including 123 prognostic prediction models for chronic heart failure patients. The area under the receiver operating characteristic curve (AUC) of the models ranged from 0.690 to 0.959. Twenty-two studies mostly used random splitting and Bootstrap for internal model validation, with an AUC range of 0.620-0.932. Seven studies conducted external validation of the model, with an AUC range of 0.720-0.874. The overall bias risk of all models was high, and the overall applicability was low. The main predictive factors included in the models were the N-terminal pro-brain natriuretic peptide, age, left ventricular ejection fraction, New York Heart Association heart function grading, and body mass index. Conclusion The quality of modeling methodology for predicting the prognosis of chronic heart failure patients in China is poor, and the predictive performance of different models varies greatly. For developed models, external validation and clinical application research should be vigorously carried out. For model development research, it is necessary to comprehensively consider various predictive factors related to disease prognosis before modeling. During modeling, large sample and prospective studies should be conducted strictly in accordance with the PROBAST standard, and the research results should be comprehensively reported using multivariate prediction model reporting guidelines to develop high-quality predictive models with strong scalability.