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 translate the Dysfunctional Beliefs and Attitudes about Sleep Scale for Cancer Patients (C-DBAS-14) into Chinese and test its reliability and validity.Methods:The Korean version of C-DBAS-14 was translated, back-translated, and culturally adapted into Chinese based on Brislin's translation model, forming the Chinese version of C-DBAS-14. From October 2022 to May 2023, 361 hospitalized cancer patients at the First Affiliated Hospital of Anhui Medical University were selected as research objects by convenient sampling method. They were surveyed using a general information questionnaire, the Chinese version of C-DBAS-14, the Insomnia Severity Index (ISI), and the Hospital Anxiety and Depression Scale (HADS) to evaluate the reliability and validity of the scale. The scale's item analysis was based on correlation coefficients and critical ratio values; structural validity, content validity, and convergent validity were used to evaluate the scale's validity; Cronbach's α coefficient and intraclass correlation coefficient were used to assess its reliability.Results:A total of 361 questionnaires were distributed, 356 were effectively returned, with an effective response rate of 98.6% (356/361). The Chinese version of C-DBAS-14 contained 14 items across four dimensions. The scale-level content validity index was 0.976, and the item-level content validity index ranged from 0.833 to 1.000. Totally four common factors were extracted in exploratory factor analysis, explaining 78.8% of the total variance. Confirmatory factor analysis showed a Chi-square/degrees of freedom ratio of 1.286, comparative fit index of 0.991, goodness of fit index of 0.945, incremental fit index of 0.991, Tucker-Lewis index of 0.988, and root mean square error of approximation of 0.036. The total Cronbach's α coefficient of the scale was 0.874, and the intraclass correlation coefficient was 0.863. The C-DBAS-14 score was negatively correlated with the ISI and HADS scores ( r=-0.734, -0.639; P<0.01) . Conclusions:The Chinese version of C-DBAS-14 has good reliability and validity and can be used as an assessment tool for irrational sleep beliefs in Chinese cancer patients.

Objective:To investigate whether IL-6 using in early pregnancy can improve the pregnancy outcome of recurrent spontaneous abortion(RSA)mice and its relevant mechanism,providing new ideas for RSA clinical treatment.Methods:CBA/J×DBA/2 RSA model mice were constructed,and randomly divided the pregnant mice into five groups:control group,0.1 ng/ml IL-6 group,1 ng/ml IL-6 group,10 ng/ml IL-6 group and 100 ng/ml IL-6 group.IL-6 was not injected in control group,while different concentra-tions of IL-6 were respectively injected into other groups on the 0.5 day of pregnancy.Pregnant rats were killed at 13.5 d and the embryo loss rate was calculated,the placental tissue was taked out,and expressions of IL-6 and indoleamine 2,3-dioxygenase(IDO)in tissues were detected by Western blot.Results:Embryo absorption rates of 0.1 ng/ml IL-6 group,1 ng/ml IL-6 group,10 ng/ml IL-6 group and 100 ng/ml IL-6 group were obviously lower than that in control group(P=0.002 4,P=0.007 0,P=0.027 0,P=0.031 0).IL-6 of exogenous injection was positive correlated with that expressed in mice placental tissue(r=0.791,P=0.000 052).IL-6 concentration of exogenous injection was between 0～1 ng/ml,which was positively correlated with IDO expression in placental tissue(r=0.868,P<0.000 1),IL-6 was positively correlated with IDO expressed in placental tissue(r=0.982,P<0.000 1).IL-6 concentration of exogenous injection was between 1～100 ng/ml,which was inversely correlated with IDO expression(r=-0.725,P=0.002),and IL-6 was inversely correlated with IDO expressed in placental tissue(r=-0.972,P<0.000 1).Conclusion:A single intraperitoneal injection of specific concentration of exogenous IL-6 to RSA mice can reduce embryo absorption rate of mice and modify their pregnancy outcome,which possible mecha-nism is the exogenous IL-6 induces expressions of IL-6 and IDO for a long term.Whether the IDO expression in placental tissue in-crease or not can be regarded as a mark for whether the specific concentration IL-6 can protect the pregnancy or not.

Objective:To construct a nomogram model for differentiating gastric schwannoma (GS) from gastric stromal tumor (GST) (diameters 2 to 5 cm) based on CT imaging features before surgery.Methods:The clinical and imaging data of 49 patients with GS and 240 patients with GST in the Affiliated Hospital of Jining Medical University from July 2009 to April 2023 and Guangdong Provincial People′s Hospital from June 2017 to September 2022 were analyzed retrospectively. The independent factors for differentiating GS from GST were obtained by multivariate Logistic regression analysis. The nomogram model was constructed by R4.3.1 software. The efficacy of the nomogram model for differentiating GS from GST was evaluated by the receiver operating characteristics (ROC) curve, and calibration curve and decision curve analysis were used to evaluate the predictive efficacy and clinical application value of the nomogram model.Results:There were no statistical differences in the clinical symptom rate, calcification rate, ulcer rate, tumor vessel rate, ratio of long diameter to short diameter and CT value difference during the arterial and nonenhanced phases (CTV A-N) between GS patients and GST patients ( P>0.05). The proportion of female, incidence of lesions located in central or lower part of stomach, extraluminal or mixed growth rate, tumor-associated lymph node rate, strong enhancement rate, CT value difference during the portal and nonenhanced phases (CTV P-N), CT value difference during the delayed and nonenhanced phases (CTV D-N), CT value difference during the portal and arterial phases (CTV P-A) and CT value difference during the delayed and portal phases (CTV D-P) in GS patients were significantly higher than those in GST patients: 75.51% (37/49) vs. 58.33% (140/240), 85.71% (42/49) vs. 54.17% (130/240), 75.51% (37/49) vs. 45.00% (108/240), 44.90% (22/49) vs. 5.42% (13/240), 51.02% (25/49) vs. 27.08% (65/240), 32.0 (26.0, 43.5) HU vs. 29.0 (22.0, 37.7) HU, (44.59 ± 13.46) HU vs. (32.94 ± 12.47) HU, 20.0 (11.5, 25.0) HU vs. 10.0 (5.0, 17.0) HU and 9.0 (6.0, 12.0) HU vs. 4.0 (-2.7, 7.0) HU, the age, irregular shape rate, cystic degeneration rate and heterogeneous enhancement rate were significantly lower than those in GST patients: (58.12 ± 12.59) years old vs. (62.05 ± 11.22) years old, 16.33% (8/49) vs. 38.33% (92/240), 18.37% (9/49) vs. 51.25% (123/240) and 34.69% (17/49) vs. 56.25% (135/240), and there were statistical differences ( P<0.05 or<0.01). Multivariate Logistic regression analysis result showed that location, cystic degeneration, tumor-associated lymph node, CTV P-A and CTV D-P were the independent factors for differentiating GS from GST ( OR= 3.599, 0.201, 19.031, 1.124 and 1.160; 95% CI 1.184 to 10.938, 0.070 to 0.578, 6.159 to 58.809, 1.066 to 1.185 and 1.094 to 1.231; P<0.05 or<0.01). The nomogram model for differentiating GS from GST was constructed based on location, cystic degeneration, tumor-associated lymph node, CTV P-A and CTV D-P. The area under curve of the nomogram model for differentiating GS from GST was 0.924 (95% CI 0.887 to 0.951). The calibration curve analysis result showed that there was a good agreement between the predicted GS curve and the actual GS curve (the mean absolute error was 0.033). The result of the Hosmer-Lemeshow goodness-of-fit test indicated that the calibration of the nomogram model was appropriate ( χ2 = 2.52, P = 0.961). The clinical decision curve analysis result showed that when the threshold for the nomogram model for differentiating the two tumors was>0.03, the nomogram yielded more net benefits than the "all patients treated as GS" or "all patients treated as GST" scenarios. Conclusions:The nomogram model based on CT imaging features can be used to differentiate GS from GST before surgery.