Objective:To explore the mediating chain effect between attachment and coping style of disease perception and hope in patients with advanced lung cancer, and to provide theoretical basis for improving coping style in patients with advanced lung cancer.Methods:From October 2021 to June 2022, 354 patients with advanced lung cancer in the First and Second Affiliated Hospitals of Anhui Medical University were selected by convenience sampling. The general information questionnaire, the Experiences in Close Relationships Inventory, the Brief Illness Perception Questionnaire, the Herth Hope Index, and the Medical Coping Modes Questionnaire were used to conduct cross-sectional questionnaire survey. SPSS 25.0 software and Bootstrap method were used to construct and verify the chain mediation model.Results:Finally, 336 patients with advanced lung cancer were included, including 214 males and 122 females, aged 27-79(59.43 ± 8.61) years old. Attachment avoidance score was (3.31 ± 1.01) points, attachment anxiety score was (3.86 ± 1.17) points, illness perception score was (40.07 ± 12.01) points, hope score was (34.05 ± 5.87) points, and face coping score was (18.75 ± 5.34) points in patients with advanced lung cancer. The avoidance coping score was (15.47 ± 1.97) points, and the yielding coping score was (9.62 ± 3.85) points. In patients with advanced lung cancer, attachment avoidance and attachment anxiety were positively correlated with yield coping ( r=0.448, 0.747, both P<0.01), positively correlated with illness perception ( r=0.356, 0.627, both P<0.01), and negatively correlated with hope ( r=-0.406, -0.670, both P<0.01). Illness perception was positively correlated with yield coping ( r=0.744, P<0.01), and negatively correlated with hope ( r=-0.628, P<0.01). Hope was negatively correlated with yield response ( r=-0.769, P<0.01). The mediation model showed that the chain mediating effect of attachment avoidance, illness perception, hope and yield coping was significant in patients with advanced lung cancer, with an effect value of 0.009 and an effect size of 13.95%. The chain mediating effect of attachment anxiety, illness perception, hope and yield coping were significant, with an effect value of 0.010 and an effect size of 8.27%. Conclusions:Attachment can not only directly predict submission coping in advanced lung cancer patients, but also indirectly predict submission coping through the chain mediation of illness perception and hope.

OBJECTIVE To explore the mechanism of limonin treating in hepatic fibrosis through network pharmacology, and validate its mechanism by molecular docking and animal experiments. METHODS Firstly, the targets of limonin and hepatic fibrosis were screened from the SwissTargetPrediction, GeneCards and DisGeNet database, etc. Meanwhile, the common targets of limonin and hepatic fibrosis were obtained from the bioinformatics website. The protein protein interaction network of common target was constructed by using STRING database and Cytoscape software, and the CytoNCA plug-in was used to screen core targets. And then the enrichment analysis of GO and KEGG on the common target was performed by Metascape database. Thereby, the possible mechanism of limonin against hepatic fibrosis were predicted. Finally, the AutoDock Vina was used for molecular docking verification, and the prediction results of network pharmacology were verified by animal experiments. RESULTS The prediction results indicated that limonin might acted on 86 targets including AKT1, VEGFA and HIF1A, and participated in biological processes including hormone response, protein phosphorylation, angiogenesis, and PI3K-Akt pathway, HIF-1 pathway, VEGF pathway and other signaling pathways related to hepatic fibrosis. The results of protein protein interaction network topology analysis showed that the 11 core targets including AKT1, VEGFA, HIF1A and PIK3CA, etc. Molecular docking results showed that limonin had strong affinity and relatively stable binding conformation with the core targets. In the animal experiments, compared with the model group, hyaluronidase(HA) and laminin(LN) in rat serume in high-dose group of limonin(LH) and low-dose group of limonin(LL)(except for LN in LL group) were declined(P<0.01 or P<0.05), and the degree of inflammation and hepatic fibrosis were relieved to different degrees in liver tissue of the LH group and LL group; Western blotting and qPCR detection showed that protein and mRNA expression levels of AKT, HIF-1α and VEGF(except for VEGF in LL group) was down-regulated in the LH group and LL group(P<0.01 or P<0.05). CONCLUSION Limonin may acts on AKT1, VEGFA, HIF1A and other core targets to treat hepatic fibrosis angiogenesis, which may be related to the inhibition of AKT/HIF-1α/VEGF signaling pathway.

【Objective】 To study and compare the effects of different storage temperature and time on coagulation factor after cryoprecipitated antihemophilic factor(CAF) melting, and to provide reference for the establishment of industry standards. 【Methods】 From June 2021 to May 2023, a total of 96 bags of CAF were sampled in 4 bags per month, and timely detected in the same month. After the CAF was melted in a 37℃ water bath, the mild to moderate lipemic blood was labeled. Each bag of CAF and two 50 mL transfer bags were divided into two bags and two groups of 20 mL each using a sterile adapter. One group was placed in a 4℃ refrigerator and the other in a 22℃ water bath for 0 h, 4 h, 8 h, 12 h, 24 h and 48 h. Then 2 mL of aseptic sample was taken separately and put into the test tube, and 1mL of sample and 3 mL of buffer were added into the other test tube with the sampling gun and mixed on the machine for testing. The experimental data of 60 bags without mild to moderate lipemic blood cryoprecipitation and coagulation factor were randomly selected and statistically analyzed by SPSS21.0. 【Results】 After melting, CAF was stored for 0 h, 4 h, 8 h, 12 h, 24 h and 48 h to detect the average content and growth rate of coagulation factor in the two groups: 1) Storage at 4℃, factor Ⅷ content was 118.62, 111.57(-5.95%), 105.51(-11.05%), 103.30(-12.92%), 94.35(-20.46%) and 83.25(-29.82%) IU/ bag, respectively; Storage at 22℃, the factor Ⅷ content was 118.62, 112.69(-5.00%), 111.41(-6.08%), 109.01(-8.10%), 101.55(-14.39%) and 92.75(-21.81%) IU/ bag, and the storage results of the two groups were compared. At 24 h at 4℃ and 48 h at 22℃, the content of factor Ⅷ had significant statistical significance(P<0.01), and when stored at 22℃, the decay rate of factor Ⅷ was slower; 2) When stored at 4℃, the content of factor V was 41.19, 41.31(0.29%), 40.52(-1.64%), 40.27(-2.23%), 39.05(-5.19%) and 36.99(-10.21%) IU/ bag, respectively; Stored at 22℃, the factor V content was 41.19, 41.71(1.25%), 42.54(3.28%), 41.94(1.80%), 39.21(-4.80%) and 35.64(-13.48%) IU/ bag, respectively. Comparison of storage results between the two groups showed that the content of factor V was statistically significant(P<0.05) and significantly significant(P<0.01) at 4℃48 h and 22℃48 h, respectively, and the decay rate of factor V was faster when stored at 22℃; 3) When stored at 4℃, the Fbg content was 268.86, 268.17(-0.26%), 262.46(-2.38%), 270.50(0.61%), 267.52(-0.50%) and 261.92(-2.58%) mg/ bag, respectively; Stored at 22℃, the Fbg content was 268.86, 265.86(-1.12%), 264.12(-1.77%), 265.89(-1.11%), 266.04(-1.05%) and 261.04(-2.91%) mg/ bag, respectively. There was no statistical significance between the 2 groups and the original 0 h content in each time period(P>0.05). 【Conclusion】 After CAF melting, coagulation factor decreased with the extension of storage time, especially the decrease of factor Ⅷ, followed by factor V, while Fbg basically unchanged. Comparison between the two groups showed that, factor Ⅷ decay rate is slower, factor V decay rate is faster of storage at 22℃. CAF should be transfused as soon as possible after melting. If the delay is unavoidable, for the delay time less than 12 h, storage at 4℃ is recommended, fot the delay time more than 12 h and less than 24 h, storage at 22℃ is recommended.

Objective:To analyze the correlation between serum glycated hemoglobin (HbA 1c), γ-glutamyltranspeptidase(γ-GT) and intercellular adhesion factor-1 (ICAM-1) levels and cognitive impairment in elderly patients with hyperlipidemia complicated with cardiovascular disease. Methods:In this retrospective cohort study, 158 elderly patients who underwent examination and were diagnosed with hyperlipidemia complicated with cardiovascular disease at Beijing Anzhen Hospital Affiliated with Capital Medical University from January to December 2022 were selected as study subjects. The simple mental state scale (MMSE) was assessed in the subjects in combination with the subject′s level of education. Illiteracy≤17 points, primary school≤20 points, middle school and above≤24 points were classified as cognitive impairment group (67 cases), the rest were were classified into the non-cognitive impairment group (91 cases); and another 50 healthy elderly people who received physical examination in the same period were selected as the control group. The blood samples in the three groups were extracted to measure serum HbA 1c, γ-GT and ICAM-1. The correlation between HbA 1c, γ-GT and ICAM-1 levels with cognitive impairment were analyzed. Results:The serum levels of HbA 1c, γ-GT and ICAM-1 in the cognitive impairment group were all significantly higher than those in the non-cognitive impairment group and the control group [5.41%±1.04% vs 4.82%±0.95%, 4.39%±0.86%; (52.01±10.96) vs (41.28±9.23), (25.03±7.17) U/L; (336.61±85.36) vs (286.93±72.53), (143.52±64.20) g/ml], and the MMSE score was significantly lower [(20.19±2.85) vs (25.30±1.24), (27.14±1.56) points] (all P<0.05). Serum levels of HbA 1c, γ-GT and ICAM-1 were all significantly negatively correlated with MMSE score ( r=-0.512, -0.498, -0.563) (all P<0.05). The areas under the receiver operating characteristic curves (AUCs) for serum HbA 1c, γ-GT, and ICAM-1 levels in the assessment of cognitive dysfunction were 0.657, 0.816, and 0.691, respectively (all P<0.05). The optimal cut-off values were 5.115%, 47.65 U/L, and 304.58 g/ml, respectively. Conclusion:Serum HbA 1c, γ-GT and ICAM-1 levels in elderly patients with hyperlipidemia complicated with cardiovascular disease are negatively correlated with cognitive impairment, and have certain value for the evaluation and early diagnosis of cognitive impairment.

Objective:To explore the establishment of a Cox proportional hazard prediction model for the re-cent(within a week)delivery of pregnant women with threatened early preterm labor(28-33+6 weeks).Meth-ods:The clinical data of 293 patients with threatened early preterm labor at 28-33+6 weeks admitted to the De-partment of Obstetrics,Affiliated Hospital of North Sichuan Medical College from January 2021 to December 2022 were retrospectively collected.According to whether the patient gave birth recently(within a week)during hospi-talization,they were divided into delivery group(n=88)and non-delivery group(n=205).Demographic data,specialty conditions and clinical biochemical indicators were collected,and the differences of each observation in-dex between the two groups were compared.Cox multivariate analysis was used to screen variables,and then the Cox proportional hazard prediction model was constructed to calculate the hazard ratio(HR).The C-index was used to test the predictive ability of the model,and the nomogram was drawn to visualize the Cox proportional hazard prediction model.The calibration curve was used to test the consistency between the model prediction re-sults and the actual situation.Results:The average age of the delivery group was 30.2±5.0 years old,and the average prolonged pregnancy time was 61.3±47.5 hours.Compared to the group that gave birth and did not give birth,the proportion of patients with body mass index(BMI)at admission,parity＞1,gestational diabetes mellitus or diabetic pregnancy combined(GDM/PGDM),abnormal fetal orientation,regular contractions at admis-sion,vaginal cleanliness≥ Ⅲ,white blood cell count ≥10 ×109/L at admission and cervical length＜20 mm,the difference was statistically significant(P＜0.05).Multivariate Cox regression analysis:BMI＞30 kg/m2(HR 2.178,95％CI 1.208-3.928,P=0.010),parity＞1(HR 3.095,95％CI 1.759-5.447,P＜0.001),regular uterine contraction(HR3.447,95％CI 2.216-5.362,P＜0.001),cervical length＜20 mm(HR3.594,95％CI 2.289-5.646,P＜0.001)and white blood cell count≥10 ×109/L(HR2.124,95％CI 1.352-3.335,P=0.001)on admission were independent risk factors for recent(within a week)delivery of pregnant women with threatened early preterm birth.When the above 5 indicators were included in the prediction model,the C-index was 0.797(95％CI 0.750-0.844),indicating that the model had good prediction ability.The calibration chart shows that the prediction results of the model are in good agreement with the actual results.Conclusions:Preg-nant women with BMI＞30 kg/m2 at admission,parity＞1,regular uterine contraction at admission,cervical length＜20 mm at admission and white blood cell count≥10 ×109/L at admission are prone to premature delivery in the near future.Cox proportional risk prediction model based on the above risk factors has certain accuracy,which can be used to guide clinical workers to take corresponding intervention measures in advance to avoid or reduce the possibility of premature delivery in the near future and improve maternal and infant outcomes.

Objective:To explore the establishment of a Cox proportional hazard prediction model for the re-cent(within a week)delivery of pregnant women with threatened early preterm labor(28-33+6 weeks).Meth-ods:The clinical data of 293 patients with threatened early preterm labor at 28-33+6 weeks admitted to the De-partment of Obstetrics,Affiliated Hospital of North Sichuan Medical College from January 2021 to December 2022 were retrospectively collected.According to whether the patient gave birth recently(within a week)during hospi-talization,they were divided into delivery group(n=88)and non-delivery group(n=205).Demographic data,specialty conditions and clinical biochemical indicators were collected,and the differences of each observation in-dex between the two groups were compared.Cox multivariate analysis was used to screen variables,and then the Cox proportional hazard prediction model was constructed to calculate the hazard ratio(HR).The C-index was used to test the predictive ability of the model,and the nomogram was drawn to visualize the Cox proportional hazard prediction model.The calibration curve was used to test the consistency between the model prediction re-sults and the actual situation.Results:The average age of the delivery group was 30.2±5.0 years old,and the average prolonged pregnancy time was 61.3±47.5 hours.Compared to the group that gave birth and did not give birth,the proportion of patients with body mass index(BMI)at admission,parity＞1,gestational diabetes mellitus or diabetic pregnancy combined(GDM/PGDM),abnormal fetal orientation,regular contractions at admis-sion,vaginal cleanliness≥ Ⅲ,white blood cell count ≥10 ×109/L at admission and cervical length＜20 mm,the difference was statistically significant(P＜0.05).Multivariate Cox regression analysis:BMI＞30 kg/m2(HR 2.178,95％CI 1.208-3.928,P=0.010),parity＞1(HR 3.095,95％CI 1.759-5.447,P＜0.001),regular uterine contraction(HR3.447,95％CI 2.216-5.362,P＜0.001),cervical length＜20 mm(HR3.594,95％CI 2.289-5.646,P＜0.001)and white blood cell count≥10 ×109/L(HR2.124,95％CI 1.352-3.335,P=0.001)on admission were independent risk factors for recent(within a week)delivery of pregnant women with threatened early preterm birth.When the above 5 indicators were included in the prediction model,the C-index was 0.797(95％CI 0.750-0.844),indicating that the model had good prediction ability.The calibration chart shows that the prediction results of the model are in good agreement with the actual results.Conclusions:Preg-nant women with BMI＞30 kg/m2 at admission,parity＞1,regular uterine contraction at admission,cervical length＜20 mm at admission and white blood cell count≥10 ×109/L at admission are prone to premature delivery in the near future.Cox proportional risk prediction model based on the above risk factors has certain accuracy,which can be used to guide clinical workers to take corresponding intervention measures in advance to avoid or reduce the possibility of premature delivery in the near future and improve maternal and infant outcomes.

Objective:To explore the establishment of a Cox proportional hazard prediction model for the re-cent(within a week)delivery of pregnant women with threatened early preterm labor(28-33+6 weeks).Meth-ods:The clinical data of 293 patients with threatened early preterm labor at 28-33+6 weeks admitted to the De-partment of Obstetrics,Affiliated Hospital of North Sichuan Medical College from January 2021 to December 2022 were retrospectively collected.According to whether the patient gave birth recently(within a week)during hospi-talization,they were divided into delivery group(n=88)and non-delivery group(n=205).Demographic data,specialty conditions and clinical biochemical indicators were collected,and the differences of each observation in-dex between the two groups were compared.Cox multivariate analysis was used to screen variables,and then the Cox proportional hazard prediction model was constructed to calculate the hazard ratio(HR).The C-index was used to test the predictive ability of the model,and the nomogram was drawn to visualize the Cox proportional hazard prediction model.The calibration curve was used to test the consistency between the model prediction re-sults and the actual situation.Results:The average age of the delivery group was 30.2±5.0 years old,and the average prolonged pregnancy time was 61.3±47.5 hours.Compared to the group that gave birth and did not give birth,the proportion of patients with body mass index(BMI)at admission,parity＞1,gestational diabetes mellitus or diabetic pregnancy combined(GDM/PGDM),abnormal fetal orientation,regular contractions at admis-sion,vaginal cleanliness≥ Ⅲ,white blood cell count ≥10 ×109/L at admission and cervical length＜20 mm,the difference was statistically significant(P＜0.05).Multivariate Cox regression analysis:BMI＞30 kg/m2(HR 2.178,95％CI 1.208-3.928,P=0.010),parity＞1(HR 3.095,95％CI 1.759-5.447,P＜0.001),regular uterine contraction(HR3.447,95％CI 2.216-5.362,P＜0.001),cervical length＜20 mm(HR3.594,95％CI 2.289-5.646,P＜0.001)and white blood cell count≥10 ×109/L(HR2.124,95％CI 1.352-3.335,P=0.001)on admission were independent risk factors for recent(within a week)delivery of pregnant women with threatened early preterm birth.When the above 5 indicators were included in the prediction model,the C-index was 0.797(95％CI 0.750-0.844),indicating that the model had good prediction ability.The calibration chart shows that the prediction results of the model are in good agreement with the actual results.Conclusions:Preg-nant women with BMI＞30 kg/m2 at admission,parity＞1,regular uterine contraction at admission,cervical length＜20 mm at admission and white blood cell count≥10 ×109/L at admission are prone to premature delivery in the near future.Cox proportional risk prediction model based on the above risk factors has certain accuracy,which can be used to guide clinical workers to take corresponding intervention measures in advance to avoid or reduce the possibility of premature delivery in the near future and improve maternal and infant outcomes.

Objective:To explore the establishment of a Cox proportional hazard prediction model for the re-cent(within a week)delivery of pregnant women with threatened early preterm labor(28-33+6 weeks).Meth-ods:The clinical data of 293 patients with threatened early preterm labor at 28-33+6 weeks admitted to the De-partment of Obstetrics,Affiliated Hospital of North Sichuan Medical College from January 2021 to December 2022 were retrospectively collected.According to whether the patient gave birth recently(within a week)during hospi-talization,they were divided into delivery group(n=88)and non-delivery group(n=205).Demographic data,specialty conditions and clinical biochemical indicators were collected,and the differences of each observation in-dex between the two groups were compared.Cox multivariate analysis was used to screen variables,and then the Cox proportional hazard prediction model was constructed to calculate the hazard ratio(HR).The C-index was used to test the predictive ability of the model,and the nomogram was drawn to visualize the Cox proportional hazard prediction model.The calibration curve was used to test the consistency between the model prediction re-sults and the actual situation.Results:The average age of the delivery group was 30.2±5.0 years old,and the average prolonged pregnancy time was 61.3±47.5 hours.Compared to the group that gave birth and did not give birth,the proportion of patients with body mass index(BMI)at admission,parity＞1,gestational diabetes mellitus or diabetic pregnancy combined(GDM/PGDM),abnormal fetal orientation,regular contractions at admis-sion,vaginal cleanliness≥ Ⅲ,white blood cell count ≥10 ×109/L at admission and cervical length＜20 mm,the difference was statistically significant(P＜0.05).Multivariate Cox regression analysis:BMI＞30 kg/m2(HR 2.178,95％CI 1.208-3.928,P=0.010),parity＞1(HR 3.095,95％CI 1.759-5.447,P＜0.001),regular uterine contraction(HR3.447,95％CI 2.216-5.362,P＜0.001),cervical length＜20 mm(HR3.594,95％CI 2.289-5.646,P＜0.001)and white blood cell count≥10 ×109/L(HR2.124,95％CI 1.352-3.335,P=0.001)on admission were independent risk factors for recent(within a week)delivery of pregnant women with threatened early preterm birth.When the above 5 indicators were included in the prediction model,the C-index was 0.797(95％CI 0.750-0.844),indicating that the model had good prediction ability.The calibration chart shows that the prediction results of the model are in good agreement with the actual results.Conclusions:Preg-nant women with BMI＞30 kg/m2 at admission,parity＞1,regular uterine contraction at admission,cervical length＜20 mm at admission and white blood cell count≥10 ×109/L at admission are prone to premature delivery in the near future.Cox proportional risk prediction model based on the above risk factors has certain accuracy,which can be used to guide clinical workers to take corresponding intervention measures in advance to avoid or reduce the possibility of premature delivery in the near future and improve maternal and infant outcomes.

Objective:To explore the establishment of a Cox proportional hazard prediction model for the re-cent(within a week)delivery of pregnant women with threatened early preterm labor(28-33+6 weeks).Meth-ods:The clinical data of 293 patients with threatened early preterm labor at 28-33+6 weeks admitted to the De-partment of Obstetrics,Affiliated Hospital of North Sichuan Medical College from January 2021 to December 2022 were retrospectively collected.According to whether the patient gave birth recently(within a week)during hospi-talization,they were divided into delivery group(n=88)and non-delivery group(n=205).Demographic data,specialty conditions and clinical biochemical indicators were collected,and the differences of each observation in-dex between the two groups were compared.Cox multivariate analysis was used to screen variables,and then the Cox proportional hazard prediction model was constructed to calculate the hazard ratio(HR).The C-index was used to test the predictive ability of the model,and the nomogram was drawn to visualize the Cox proportional hazard prediction model.The calibration curve was used to test the consistency between the model prediction re-sults and the actual situation.Results:The average age of the delivery group was 30.2±5.0 years old,and the average prolonged pregnancy time was 61.3±47.5 hours.Compared to the group that gave birth and did not give birth,the proportion of patients with body mass index(BMI)at admission,parity＞1,gestational diabetes mellitus or diabetic pregnancy combined(GDM/PGDM),abnormal fetal orientation,regular contractions at admis-sion,vaginal cleanliness≥ Ⅲ,white blood cell count ≥10 ×109/L at admission and cervical length＜20 mm,the difference was statistically significant(P＜0.05).Multivariate Cox regression analysis:BMI＞30 kg/m2(HR 2.178,95％CI 1.208-3.928,P=0.010),parity＞1(HR 3.095,95％CI 1.759-5.447,P＜0.001),regular uterine contraction(HR3.447,95％CI 2.216-5.362,P＜0.001),cervical length＜20 mm(HR3.594,95％CI 2.289-5.646,P＜0.001)and white blood cell count≥10 ×109/L(HR2.124,95％CI 1.352-3.335,P=0.001)on admission were independent risk factors for recent(within a week)delivery of pregnant women with threatened early preterm birth.When the above 5 indicators were included in the prediction model,the C-index was 0.797(95％CI 0.750-0.844),indicating that the model had good prediction ability.The calibration chart shows that the prediction results of the model are in good agreement with the actual results.Conclusions:Preg-nant women with BMI＞30 kg/m2 at admission,parity＞1,regular uterine contraction at admission,cervical length＜20 mm at admission and white blood cell count≥10 ×109/L at admission are prone to premature delivery in the near future.Cox proportional risk prediction model based on the above risk factors has certain accuracy,which can be used to guide clinical workers to take corresponding intervention measures in advance to avoid or reduce the possibility of premature delivery in the near future and improve maternal and infant outcomes.

Objective:To explore the establishment of a Cox proportional hazard prediction model for the re-cent(within a week)delivery of pregnant women with threatened early preterm labor(28-33+6 weeks).Meth-ods:The clinical data of 293 patients with threatened early preterm labor at 28-33+6 weeks admitted to the De-partment of Obstetrics,Affiliated Hospital of North Sichuan Medical College from January 2021 to December 2022 were retrospectively collected.According to whether the patient gave birth recently(within a week)during hospi-talization,they were divided into delivery group(n=88)and non-delivery group(n=205).Demographic data,specialty conditions and clinical biochemical indicators were collected,and the differences of each observation in-dex between the two groups were compared.Cox multivariate analysis was used to screen variables,and then the Cox proportional hazard prediction model was constructed to calculate the hazard ratio(HR).The C-index was used to test the predictive ability of the model,and the nomogram was drawn to visualize the Cox proportional hazard prediction model.The calibration curve was used to test the consistency between the model prediction re-sults and the actual situation.Results:The average age of the delivery group was 30.2±5.0 years old,and the average prolonged pregnancy time was 61.3±47.5 hours.Compared to the group that gave birth and did not give birth,the proportion of patients with body mass index(BMI)at admission,parity＞1,gestational diabetes mellitus or diabetic pregnancy combined(GDM/PGDM),abnormal fetal orientation,regular contractions at admis-sion,vaginal cleanliness≥ Ⅲ,white blood cell count ≥10 ×109/L at admission and cervical length＜20 mm,the difference was statistically significant(P＜0.05).Multivariate Cox regression analysis:BMI＞30 kg/m2(HR 2.178,95％CI 1.208-3.928,P=0.010),parity＞1(HR 3.095,95％CI 1.759-5.447,P＜0.001),regular uterine contraction(HR3.447,95％CI 2.216-5.362,P＜0.001),cervical length＜20 mm(HR3.594,95％CI 2.289-5.646,P＜0.001)and white blood cell count≥10 ×109/L(HR2.124,95％CI 1.352-3.335,P=0.001)on admission were independent risk factors for recent(within a week)delivery of pregnant women with threatened early preterm birth.When the above 5 indicators were included in the prediction model,the C-index was 0.797(95％CI 0.750-0.844),indicating that the model had good prediction ability.The calibration chart shows that the prediction results of the model are in good agreement with the actual results.Conclusions:Preg-nant women with BMI＞30 kg/m2 at admission,parity＞1,regular uterine contraction at admission,cervical length＜20 mm at admission and white blood cell count≥10 ×109/L at admission are prone to premature delivery in the near future.Cox proportional risk prediction model based on the above risk factors has certain accuracy,which can be used to guide clinical workers to take corresponding intervention measures in advance to avoid or reduce the possibility of premature delivery in the near future and improve maternal and infant outcomes.