Objective:To conduct a scoping review of risk prediction models for the development of intraoperative hypothermia in patients undergoing cancer surgery to inform clinical nursing practice and future research.Methods:Relevant literature on constructing or validating intraoperative hypothermia risk prediction models for cancer surgery patients in five foreign language databases (PubMed, Embase, Web of Science, Cochrane Library, CINAHL) and four Chinese language databases (China National Knowledge Infrastructure, Wanfang, VIP, Chinese Biomedical Database) were searched from the time of library construction to June 1, 2024, extracted information on the applicable target, incidence of intraoperative hypothermia, methodology of model construction, predictors and performance, etc. The Prediction model Risk Of Bias Assessment Tool was used to evaluate the risk of bias of the studies, and the included literature was analyzed and discussed.Results:A total of 15 pieces of literature involving 18 models were included, with the study population focussing on patients undergoing surgery for colorectal cancer. The rate of intraoperative hypothermia ranged from 15.14% to 61.5%. Model construction methods included 2 types of Logistic regression models and machine learning, and model presentation was based on column-line plots. There were 8 predictors that appeared with a frequency of ≥5, including age, body mass index, operation time, anaesthesia time, operating room temperature, intraoperative rehydration volume, intraoperative bleeding volume, and heat preservation method.Conclusions:The performance of the included model was good, but the risk of bias was high for the predictors and the analysis part, and nursing staff should pay close attention to the risk factors of intraoperative hypothermia in patients undergoing cancer surgery, construct a risk prediction model with low bias and high applicability, and validate and improve the existing risk prediction model.

Objective:To conduct a scoping review of risk prediction models for the development of intraoperative hypothermia in patients undergoing cancer surgery to inform clinical nursing practice and future research.Methods:Relevant literature on constructing or validating intraoperative hypothermia risk prediction models for cancer surgery patients in five foreign language databases (PubMed, Embase, Web of Science, Cochrane Library, CINAHL) and four Chinese language databases (China National Knowledge Infrastructure, Wanfang, VIP, Chinese Biomedical Database) were searched from the time of library construction to June 1, 2024, extracted information on the applicable target, incidence of intraoperative hypothermia, methodology of model construction, predictors and performance, etc. The Prediction model Risk Of Bias Assessment Tool was used to evaluate the risk of bias of the studies, and the included literature was analyzed and discussed.Results:A total of 15 pieces of literature involving 18 models were included, with the study population focussing on patients undergoing surgery for colorectal cancer. The rate of intraoperative hypothermia ranged from 15.14% to 61.5%. Model construction methods included 2 types of Logistic regression models and machine learning, and model presentation was based on column-line plots. There were 8 predictors that appeared with a frequency of ≥5, including age, body mass index, operation time, anaesthesia time, operating room temperature, intraoperative rehydration volume, intraoperative bleeding volume, and heat preservation method.Conclusions:The performance of the included model was good, but the risk of bias was high for the predictors and the analysis part, and nursing staff should pay close attention to the risk factors of intraoperative hypothermia in patients undergoing cancer surgery, construct a risk prediction model with low bias and high applicability, and validate and improve the existing risk prediction model.

Objective To compare image quality of 5.0T and 3.0T non-contrast MRI for displaying insulinoma.Methods Twelve patients with insulinoma were prospectively enrolled,and non-contrast abdominal T1WI,T2WI as well as diffusion-weighted imaging(DWI)were acquired using 5.0T and 3.0T MR scanners,respectively.The subjective scores of image quality of each sequence of 5.0T and 3.0T MRI,also of tumor-pancreas parenchyma contrast scores were compared.The signal-to-noise ratio(SNR)and contrast-to-noise ratio(CNR)of insulinomas were observed,and the displayed rate of insulinoma by each sequence and overall MRI were compared.Results The subjective scores of 5.0T T1WI and DWI were higher than those of 3.0T T1WI and DWI(both P＜0.05),but not significantly different between 5.0T and 3.0T T2WI(P=0.166).Furthermore,the tumor-pancreas parenchyma contrast score of 5.0T T1WI was higher than that of 3.0T T1WI(P=0.023),but not significantly different between 5.0T and 3.0T T2WI,nor between 5.0T and 3.0T DWI(both P＞0.05).SNR of insulinomas on 5.0T T2WI were higher than on 3.0T T2WI(P=0.015),however,no significant difference of SNR was found between 5.0T and 3.0T T1WI,nor between 5.0T and 3.0T DWI(both P＞0.05).CNR of insulinomas on all 5.0T MRI were not significantly different with those on 3.0T MRI(all P＞0.05).The displayed rate of insulinoma on 5.0T T1WI,T2WI and DWI was 100％(12/12),66.67％(8/12)and 83.33％(10/12),respectively,on 3.0TT1WI,T2WI and DWI was 75.00％(9/12),58.33％(7/12),66.67％(8/12),respectively.The overall displayed rate of insulinoma on 5.0T and 3.0T MRI was 100％(12/12)and 83.33％(10/12),respectively.Conclusion Compared with 3.0T MRI,5.0T MRI was superior for displaying insulinoma,hence being helpful for diagnosis.

Objective:To explore the abortion effect and mechanism induced by Chinese herbal medicine rhubarb extract.Methods:The pregnant mice at day 3 of gestation were Drenched by Aqueous extract of rhubarb at different doses (7,5,2.5 g/kg)once per day for five days,and mices in control group were oral administration of same volume of saline.All mices at 12 day of gestation were sacrificed.estradiol and progesterone levels in serum were detected by Radioimmunoassay;Content of IFN-γ, IL-2 and TNF-αin uterine lysates were measured by ELISA, macrophages in endometrium were determined by immunohistochemical method, mast cells in endometrium were tested by Toluidine blue staining, respectively.Results: showed as follows:With increasing dose of rhubarb extract,abortion rate and resorption rate were gradually increased and was 100%abortion in 7g/kg treatment groups.Estrogen and progesterone content showed a downward trend,IFN-γ,IL-2 and TNF-αin uterine lysates and the numbers of macrophages and mast cells were significantly higher in mices Drenched by Aqueous extract of rhubarb than in the control.Conclusion: These results show that rhubarb extract not only interfere stability of pregnancy state in pregnant mices because of its diarrhea,but also can directly affect endometrial environment in early embryonic mice,Resulting in abortion.