Objective To construct a prognostic model for patients with in-hospital cardiac arrest(CA)to evaluate their short-term and long-term prognosis and provide a reference for clinical decision-making.Methods Data of in-hospital CA patients were extracted from the Medical Information Mart for Intensive Care Ⅳ 2.2 database,and randomly divided into training set and validation set at a 7∶3 ratio.A predictive nomogram model was constructed in the training set via multivariate COX regression analysis,and internally validated using the validation set.Results A total of 1787 patients were included(1250 in training set and 537 in validation set).Univariate regression,LASSO regression,and multivariate COX regression analyses identified age,body weight,base excess,red cell volume distribution width,model for end-stage liver disease,acute physiology and chronic health evaluation,systemic inflammatory response index,dopamine,norepinephrine,congestive heart failure,diabetes with complications,and metastatic solid tumor were all independent risk factors affecting the prognosis of patients with CA.The receiver operating characteristic curve of the constructed nomogram showed good discrimination,and the decision curve analysis indicated that it had good clinical applicability.Conclusion The constructed nomogram model has certain clinical application value in identifying populations with good and poor prognosis,providing an auxiliary reference for the termination of resuscitation and post-resuscitation treatment.

Objective To construct a prognostic model for patients with in-hospital cardiac arrest(CA)to evaluate their short-term and long-term prognosis and provide a reference for clinical decision-making.Methods Data of in-hospital CA patients were extracted from the Medical Information Mart for Intensive Care Ⅳ 2.2 database,and randomly divided into training set and validation set at a 7∶3 ratio.A predictive nomogram model was constructed in the training set via multivariate COX regression analysis,and internally validated using the validation set.Results A total of 1787 patients were included(1250 in training set and 537 in validation set).Univariate regression,LASSO regression,and multivariate COX regression analyses identified age,body weight,base excess,red cell volume distribution width,model for end-stage liver disease,acute physiology and chronic health evaluation,systemic inflammatory response index,dopamine,norepinephrine,congestive heart failure,diabetes with complications,and metastatic solid tumor were all independent risk factors affecting the prognosis of patients with CA.The receiver operating characteristic curve of the constructed nomogram showed good discrimination,and the decision curve analysis indicated that it had good clinical applicability.Conclusion The constructed nomogram model has certain clinical application value in identifying populations with good and poor prognosis,providing an auxiliary reference for the termination of resuscitation and post-resuscitation treatment.

Cervical cancer is a serious disease endangering the health of women, which is next only to breast cancer and colon cancer.There are nearly 130 000 new cases of cervical cancer arise in China each year, accounting for 1/5 of the total number of new cases in the world.Epidemiological survey has found that cervical cancer is related to various factors, such as human papilloma virus infection, multiple sexual partners, smoking, premature sexual life, sexually transmitted diseases, economic status and immunosuppression.Cervical cancer is pathologically characterized by cervical dysplasia cervical atypical hyperplasia (mild, moderate, severe) to carcinoma in situ and to infiltrating carcinoma.Female vagina is a relatively anoxic and unique dynamic micro ecological system colonized with a large number of bacteria.And the vaginal microflora is the kernel of maintaining vaginal micro ecological balance.The uterine cervix is directly exposed to the vagina, and is closely related to vaginal microbes.However, there are few reports on the direct relationship between cervical cancer and vaginal microbes.In this review, the roles and significance of vaginal microbial imbalance and common vaginal infections in cervical cancer will be discussed from different angles.