Objective To establish a prediction model for the occurrence of non-occupational carbon monoxide poisoning events in Beijing, and to provide scientific basis and theoretical support for the prevention and warning of poisoning events. Methods Based on the monitoring data of non-occupational carbon monoxide poisoning events in Beijing from 2016 to 2024, the seasonal ARIMA model and seasonal index model were established to analyze the data and predict the occurrence of events. Results Between 2016 and 2024, a total of 436 cases of non-occupational carbon monoxide poisoning were reported in Beijing, showing a downward trend. The established SARIMA model and seasonal index model were SARIMA (1,0,0) (1,1,0) 12, Yt = (-0.0339t+5.8863) × St, and the average relative errors were 65.42% and 29.19%, respectively. In terms of months, the SARIMA model had better predictive performance during April and summer (June to August), while the seasonal index model was superior in other months. By combining the two models, the predicted number of events in 2025 was as follows: 3, 2, 2, 3, 1, 5, 2, 7, 1, 1, 1, and 2. Conclusion The seasonal index model has the best prediction effect on the non-occupational carbon monoxide poisoning events in Beijing throughout the year, and the number of summer events predicted by SARIMA model is closer to the actual values. The two models can be combined to predict the trend of non-occupational carbon monoxide poisoning, which provides a scientific basis for the prevention and control of carbon monoxide poisoning in the future.

Objective:To explore the efficacy and safety of olverembatinib in treatment of chronic myeloid leukemia (CML) progressed to acute lymphoblastic leukemia with D241E mutation.Methods:The diagnosis and treatment of a patient with D241E mutant CML progressed to acute lymphoblastic leukemia admitted to the Fourth People's Hospital of Jinan in December 2018 were retrospectively analyzed, and relevant literature was reviewed.Results:The patient was a 47-year-old female, and her blood test result was abnormal during physical examination. She was diagnosed as CML and received treatment with imatinib and dasatinib for 2 years. The disease progressed to philadelphia chromosome (Ph)-positive acute B-lymphoblastic leukemia with BCR-ABL mutation (a D241E mutation). After 3 courses of chemotherapy combined with a targeted drug (ponatinib), the patient achieved complete remission, while the minimal residual disease continued to be positive. The patient received 1 course of chemotherapy combined with olverembatinib from the 4th course of treatment. After olverembatinib monotherapy maintenance therapy for 36 months, the patient achieved molecular complete remission with minimal residual disease. The patient developed complications such as skin pigmentation and elevated lipid levels, but all complications were tolerable.Conclusions:The application of olverembatinib in D241E mutant CML progressed to acute lymphoblastic leukemia can help patients obtain sustained molecular biological remission and good safety.

Objective To observe the value of non-parallel transmission(non-PTX)reduced field-of-view(rFOV)echo planar imaging(EPI)sequence applied in diffusion weighted imaging(DWI)for displaying prostate lesions.Methods Conventional EPI-DWI and non-PTX rFOV-EPI-DWI were prospectively acquired in 30 patients with prostate lesions,including 22 cases of prostatic hyperplasia and 8 cases of prostate cancer.Subjective scoring of imaging quality,as well as objective evaluation on indexes including signal-to-noise ratio(SNR),contrast ratio(CR),contrast-to-noise ratio(CNR)and lesions'apparent diffusion coefficient(ADC)values were performed and compared between two kinds of DWI.Results The subjective score of non-PTX rFOV-EPI-DWI was higher than that of conventional EPI-DWI(P＜0.001).SNR,CR,CNR of non-PTX rFOV-EPI-DWI and lesions'ADC values measured on non-PTX rFOV-EPI-DWI were all higher than those of conventional EPI-DWI(all P＜0.05).Conclusion non-PTX rFOV-EPI DWI could display prostate lesions better than conventional EPI-DWI.

Objective To observe the value of MRI quantified uterine indictors in late pregnancy for predicting uterine inertia in delivery.Methods A total of 182 pregnant women were retrospectively collected and were divided into uterine inertia group(inertia group,n=67)and non-uterine inertia group(non-inertia group,n=115)based on delivery or cesarean section records.MRI quantified uterine indicators were compared between groups,and those being statistically different were included to build a multivariate logistic regression model for predicting uterine inertia in delivery.The predictive performance of this model was evaluated using receiver operating characteristic(ROC)curve and the area under the curve(AUC).Results The inertia group had more previous uterine surgeries,also higher proportion of in vitro fertilization and embryo transfer(IVF-ET)and cesarean sections compared to the non-inertia group(all P＜0.05).In late pregnancy,the longitudinal diameter of the uterus,cervical length and the thickness of the myometrium at the placental attachment site in inertia group were larger than those in non-inertia group(all P＜0.05).Increased times of previous uterine surgeries,undergoing IVF-ET,as well as increased longitudinal diameter of the uterus and cervical length in late pregnancy were all independent predictors of uterine inertia in delivery(all P＜0.05).AUC of the multivariate logistic regression model established based on the above factors for predicting uterine inertia in delivery was 0.733.Conclusion MRI quantified uterine indictors in late pregnancy could be used to predict uterine inertia in delivery.

Objective To explore the influencing factors of readmission within 90 days in frail patients with chronic obstructive pulmonary disease(COPD),construct an early warning model and evaluate its discrimination and effectiveness.Methods A total of 831 COPD patients with frailty were included and divided into the readmission group(290 cases)and the control group(541 cases)based on whether they were readmitted within 90 days after discharge.The electronic medical record data were collected and compared between the two groups of patients.Multivariate Logistic regression analysis was used to screen independent influencing factors for readmission within 90 days in COPD weak patients.A predictive model was established.The column chart was drawn.The discriminability of the predictive model was evaluated through receiver operating characteristic(ROC)curves.The clinical practicality and the predictive model calibration were evaluated through decision curves and calibration curves.Results The body mass index(BMI)of the readmission group was lower than that of the non readmission group,and the proportion of acute exacerbation of COPD hospitalizations≥2 times in the past year,the Edmonton frailty scale(REFS)score and the Chalson comorbidity index(CCI)were higher in the readmission group than those of the non readmission group(P＜0.05).Multivariate Logistic regression analysis showed that BMI(OR=0.721,95%CI:0.636-0.818),the number of acute exacerbations of COPD hospitalizations in the past year(OR=3.040,95%CI:1.944-4.753),REFS score(OR=1.726,95%CI:1.486-2.005)and CCI score(OR=3.917,95%CI:3.079-4.983)were all independent influencing factors for readmission within 90 days in COPD frail patients(P＜0.05).Based on the results of multiple factor Logistic regression analysis,the column chart warning model was constructed.The AUC value of the ROC curve was 0.847(95%CI:0.820-0.874),the specificity was 87.20%and the sensitivity was 64.50%.The calibration curve of the predictive model was close to the diagonal,and the calibrationa degree was good.The decision curve suggested that the prediction model had clinical practicality.Conclusion The early warning model constructed based on the influencing factors of readmission hospitalization within 90 days in weak patients with COPD has good predictive effect and clinical practicability.

Objective To explore the influencing factors of readmission within 90 days in frail patients with chronic obstructive pulmonary disease(COPD),construct an early warning model and evaluate its discrimination and effectiveness.Methods A total of 831 COPD patients with frailty were included and divided into the readmission group(290 cases)and the control group(541 cases)based on whether they were readmitted within 90 days after discharge.The electronic medical record data were collected and compared between the two groups of patients.Multivariate Logistic regression analysis was used to screen independent influencing factors for readmission within 90 days in COPD weak patients.A predictive model was established.The column chart was drawn.The discriminability of the predictive model was evaluated through receiver operating characteristic(ROC)curves.The clinical practicality and the predictive model calibration were evaluated through decision curves and calibration curves.Results The body mass index(BMI)of the readmission group was lower than that of the non readmission group,and the proportion of acute exacerbation of COPD hospitalizations≥2 times in the past year,the Edmonton frailty scale(REFS)score and the Chalson comorbidity index(CCI)were higher in the readmission group than those of the non readmission group(P＜0.05).Multivariate Logistic regression analysis showed that BMI(OR=0.721,95%CI:0.636-0.818),the number of acute exacerbations of COPD hospitalizations in the past year(OR=3.040,95%CI:1.944-4.753),REFS score(OR=1.726,95%CI:1.486-2.005)and CCI score(OR=3.917,95%CI:3.079-4.983)were all independent influencing factors for readmission within 90 days in COPD frail patients(P＜0.05).Based on the results of multiple factor Logistic regression analysis,the column chart warning model was constructed.The AUC value of the ROC curve was 0.847(95%CI:0.820-0.874),the specificity was 87.20%and the sensitivity was 64.50%.The calibration curve of the predictive model was close to the diagonal,and the calibrationa degree was good.The decision curve suggested that the prediction model had clinical practicality.Conclusion The early warning model constructed based on the influencing factors of readmission hospitalization within 90 days in weak patients with COPD has good predictive effect and clinical practicability.

Objective To observe the value of non-parallel transmission(non-PTX)reduced field-of-view(rFOV)echo planar imaging(EPI)sequence applied in diffusion weighted imaging(DWI)for displaying prostate lesions.Methods Conventional EPI-DWI and non-PTX rFOV-EPI-DWI were prospectively acquired in 30 patients with prostate lesions,including 22 cases of prostatic hyperplasia and 8 cases of prostate cancer.Subjective scoring of imaging quality,as well as objective evaluation on indexes including signal-to-noise ratio(SNR),contrast ratio(CR),contrast-to-noise ratio(CNR)and lesions'apparent diffusion coefficient(ADC)values were performed and compared between two kinds of DWI.Results The subjective score of non-PTX rFOV-EPI-DWI was higher than that of conventional EPI-DWI(P＜0.001).SNR,CR,CNR of non-PTX rFOV-EPI-DWI and lesions'ADC values measured on non-PTX rFOV-EPI-DWI were all higher than those of conventional EPI-DWI(all P＜0.05).Conclusion non-PTX rFOV-EPI DWI could display prostate lesions better than conventional EPI-DWI.

Objective To observe the value of MRI quantified uterine indictors in late pregnancy for predicting uterine inertia in delivery.Methods A total of 182 pregnant women were retrospectively collected and were divided into uterine inertia group(inertia group,n=67)and non-uterine inertia group(non-inertia group,n=115)based on delivery or cesarean section records.MRI quantified uterine indicators were compared between groups,and those being statistically different were included to build a multivariate logistic regression model for predicting uterine inertia in delivery.The predictive performance of this model was evaluated using receiver operating characteristic(ROC)curve and the area under the curve(AUC).Results The inertia group had more previous uterine surgeries,also higher proportion of in vitro fertilization and embryo transfer(IVF-ET)and cesarean sections compared to the non-inertia group(all P＜0.05).In late pregnancy,the longitudinal diameter of the uterus,cervical length and the thickness of the myometrium at the placental attachment site in inertia group were larger than those in non-inertia group(all P＜0.05).Increased times of previous uterine surgeries,undergoing IVF-ET,as well as increased longitudinal diameter of the uterus and cervical length in late pregnancy were all independent predictors of uterine inertia in delivery(all P＜0.05).AUC of the multivariate logistic regression model established based on the above factors for predicting uterine inertia in delivery was 0.733.Conclusion MRI quantified uterine indictors in late pregnancy could be used to predict uterine inertia in delivery.

OBJECTIVE To investigate the ameliorative effects and mechanism of Sanwei ganlu on hepatic fibrosis in rats. METHODS The rats were randomly divided into normal group， model group， silibinin group （positive control， 50 mg/kg）， and Sanwei ganlu low-dose， medium-dose， and high-dose groups （80， 250， 800 mg/kg）. Except for normal group， hepatic fibrosis rat models were established by intraperitoneal injection of CCl4 in the other groups of rats. Starting from the 6th week of modeling administration， they were given normal saline or corresponding drugs intragastrically at the same time. At the end of the ninth-week experiment， liver and spleen indexes of rats were calculated； the pathological structure and fibrosis changes of liver tissue were observed by HE， Masson and Sirus Red staining. The contents of alanine transaminase （ALT）， aspartate transaminase （AST）， procollagen type Ⅲ （PC Ⅲ）， collagen type Ⅳ （COL-Ⅳ）， interleukin-6 （IL-6）， tumor necrosis factor-α （TNF-α） and IL-1β in serum， and hyaluronic acid （HA） and laminin （LN） in liver tissue were all detected. RESULTS Compared with the model group， the liver injury and collagen fiber deposition of rats were improved to different extents in Sanwei ganlu groups and silibinin group； the contents of ALT， AST， PC Ⅲ， COL-Ⅳ， IL-6， TNF-α and IL-1β in serum as well as the contents of HA and LN in liver tissue significantly decreased （P＜0.05 or P＜0.01）. CONCLUSIONS Sanwei ganlu can alleviate the progression of hepatic fibrosis in rats， possibly by inhibiting the synthesis of collagen fiber， reducing transaminase content， down-regulating the levels of HA， LN， PC Ⅲ and COL-Ⅳ， and reducing the inflammatory response.

Objective To observe the value of placental MRI morphological indicators for diagnosing placenta accreta spectrum(PAS).Methods Totally 214 pregnant women who underwent prenatal placental MR examination were retrospectively enrolled and divided into PAS group(n=110)and non PAS group(n=104)based on the presence of PAS or not,also into PAS subgroup and non PAS subgroup during different weeks of pregnancy.Clinical and MRI data were compared between groups and subgroups,and the value of placental MRI morphological indicators for diagnosing PAS was analyzed.Results Significant differences of pregnant women's age,gestational week at MR examination,delivery gestational week,times of pregnancies,deliveries,cesarean sections,miscarriages and uterine clearances,as well as proportion of placenta praevia were found between groups(all P＜0.05).During 28-32 weeks and 32+1-36 weeks of pregnancy,significant differences of placental diameter,area and volume were found between subgroups(all P＜0.05),while no significant differences of placental MRI morphological indicators at gestational age＞36 weeks was found between subgroups(all P＞0.05).The area under the curve(AUC)of placental diameter,area and volume for diagnosing PAS at 28-32 weeks of pregnancy was 0.749,0.729 and 0.791,respectively,at 32+1-36 weeks was 0.718,0.686 and 0.614,respectively,being not significantly different(all P＞0.05).Conclusion Placental MRI morphological indicators at 28-36 weeks of pregnancy were helpful for diagnosing PAS.