OBJECTIVE To evaluate the comprehensive value of four first-line combination immunotherapy for unresectable hepatocellular carcinoma， and provide a reference for determining the optimal clinical treatment decision for unresectable hepatocellular carcinoma. METHODS R4.2 software was used for network meta-analysis to obtain the effect values of the efficacy and safety indicators of four combination therapies [atezolizumab combined with bevacizumab （AB）， sintilimab combined with bevacizumab biosimilars （SB）， camrelizumab combined with apatinib （CA）， durvalumab combined with tremelimumab （DT）]. Combined with the efficacy， safety and economic indicators， the categorical based evaluation technique （M-MACBETH） was used to establish the value tree. At the same time， the comprehensive value scores of four therapies were calculated， and sensitivity analysis was performed to evaluate the robustness. RESULTS In terms of prolonging median overall survival， the advantage order of the four therapies was ranked as SB， CA， AB and DT. In terms of extending median progression-free survival， the advantage order of the four therapies was CA， SB， AB and DT. In terms of safety， the order of advantages was DT， AB， SB and CA. In terms of economy， the order of advantages was CA， SB， AB and DT. The comprehensive scores of SB， CA， AB and DT were 67.11， 57.77， 52.53 and 42.59 points， respectively. The results of the sensitivity analysis showed that the ranking results of comprehensive value for four regimens were robust. CONCLUSIONS Among the four first-line immune combination therapies for unresectable hepatocellular carcinoma， SB is the optimal treatment regimen， followed by CA， AB and DT.

Objective To investigate the clinical efficacy and value of interventional treatment of iatrogenic massive vaginal bleed-ing.Methods Retrospective analysis was performed on 35 patients with postoperative vaginal massive hemorrhage in obstetrics and gynecology who were admitted.Abdominal aorta and bilateral internal iliac arteries angiography and embolization of abnormal vessels were performed under digital subtraction angiography(DS A),and relevant clinical data were recorded and analyzed.Results After interventional treatment,the vaginal bleeding of 33 patients basically stopped within 3 days,and the average interventional operation time was(57.5±17.2)min.The hemoglobin value,hematocrit and blood pressure decreased and the heart rate increased significantly before and after interventional embolization in obstetrics and gynecology,with statistical significance(P＜0.05).There were no sig-nificant changes in hemoglobin value and hematocrit between the completion of interventional embolization and 72 hours after interventional embolization(P＞0.05).The increase of blood pressure and the decrease of heart rate were statistically significant(P＜0.05).Two patients with cesarean section had poor hemostatic effect after interventional embolization,and the bleeding stopped after exploratory laparotomy and hysterectomy.Conclusion Interventional treatment has the advantages of small trauma,simple operation,signifi-cant curative effect,few adverse reactions,and rapid recovery.It plays an important role and clinical value in the diagnosis and treat-ment of iatrogenic vaginal bleeding.

Objective To investigate the predictive value of lactate/albumin ratio(LAR),interleukin-6(IL-6)and CD4+T lymphocyte count in 28-day mortality in patients with severe pneumonia and sepsis.Methods A total of 73 patients with severe pneumonia and sepsis admitted to the Respiratory Intensive Care Unit(RICU)of Zhengzhou Central Hospital Affiliated to Zhengzhou University from January 2022 to June 2023 were enrolled and divided into the survival group(n=43)and the death group(n=30)according to their 28-day outcomes.The clinical data of the patients were collected from their electronic medical records,including age,gender,comorbidities with hypertension,diabetes,and coronary artery heart disease(CHD),as well as sequential organ failure assessment(SOFA)score,acute physiology and chronic health evaluation Ⅱ(APACHE Ⅱ)score,mean arterial pressure(MAP),confusion,uremia,respiratory rate,blood pressure,age ≥65 years(CURB-65)score,total bilirubin(Tbil),serum creatinine(Scr),platelet count(PLT),white blood cell(WBC)count,procalcitonin(PCT),and C-reactive protein(CRP)at admission to RICU.On the 1st,3rd,and 7th day after admission to RICU,the patients'arterial blood was drawn,and the lactate level was detected by a fully automated blood gas analyzer.The peripheral venous blood was drawn,and the serum albumin and IL-6 levels were detected by enzyme-linked immunosorbent assay,and the CD4+T lymphocyte subset count was measured by flow cytometry.The LAR of patients on the 1st,3rd and 7th day was calculated.The clinical data of the patients and the LAR,IL-6 level and CD4+T lymphocyte count on the 1st,3rd,and 7th day were compared between the two groups.The influencing factors of 28-day mortality in patients with severe pneumonia and sepsis were analyzed by logistic regression,and the predictive value of each influencing factor on the 28-day mortality in patients with severe pneumonia and sepsis was evaluated by the receiver operating characteristic(ROC)curve.Results There was no significant difference in gender,age,proportions of comorbidities with hypertension,diabetes and CHD,length of stay in RICU,and Tbil,MAP,PLT,Scr,WBC,PCT and CRP at admission to RICU(P＞0.05).The APACHE Ⅱ and CURB-65 scores of the patients in the death group were significantly higher than those in the survival group(P＜0.05).On the 1st,3rd and 7th day,the CD4+T lymphocyte count in the death group was significantly lower than that in the survival group,while the SOFA score was significantly higher than that in the survival group(P＜0.05).On the first day,there was no significant difference in the LAR and IL-6 level be-tween the death group and the survival group(P＞0.05).However,on the 3rd and 7th day,the LAR and IL-6 level in the death group were significantly higher than those in the survival group(P＜0.05).The LAR,IL-6 level and SOFA score on the 3rd and 7th day in the survival group were significantly lower than those on the 1st day,and these indicators on the 7th day were sig-nificantly lower than those on the 3rd day(P＜0.05);the CD4+T lymphocyte count on the 3rd and 7th day was significantly higher than that on the 1st day(P＜0.05),while it showed no significant difference on the 7th and 3r day(P＞0.05).The IL-6 level on the 7th day in the death group was significantly lower than that on the 1st and 3rd day(P＜0.05),while there was no significant difference in IL-6 level on the 1st day compared with the 3r day(P＞0.05);moreover,there was no significant difference in LAR,CD4+T lymphocyte count and SOFA score between each time point(P＞0.05).Pearson correlation analy-sis showed that on the 3rd day,the LAR and IL-6 level were significantly positively correlated with the SOFA score in patients with severe pneumonia and sepsis(r=0.385,0.394;P＜0.05).On the 7th day,the LAR and IL-6 level were also significantly positively correlated with the SOFA score(r=0.418,0.402;P＜0.05).On the 3 rd and 7 th day,CD4+T lymphocyte count was significantly negatively correlated with the SOFA score(r=-0.451,-0.454;P＜0.05).Logistic regression analysis showed that the APACHE Ⅱ score,LAR,IL-6 level and CD4+T lymphocyte count on the 3rd day,and the IL-6 level and CD4+T lym-phocyte count on the 7th day were the influencing factors for 28-day mortality in patients with severe pneumonia and sepsis(P＜0.05).The ROC curve showed that the APACHE Ⅱ score,LAR,IL-6 level and CD4+T lymphocyte count on the 3rd day and the combination of the three,IL-6 level and CD4+T lymphocyte count on the 7th day and the combination of the two had certain predictive value for the 28-day mortality in patients with severe pneumonia and sepsis(P＜0.05).The area under the ROC curve(AUC)of LAR,IL-6 level and CD4+T lymphocyte count on the 3rd day combined to predict 28-day mortality in patients with severe pneumonia and sepsis was 0.891,and the AUC of APACHE Ⅱ score for predicting 28-day mortality in pa-tients with severe pneumonia and sepsis was 0.769.The AUC values of LAR,IL-6 level and CD4+T lymphocyte count on the 3rd day for predicting 28-day mortality in patients with severe pneumonia and sepsis were 0.795,0.757 and 0.770,respective-ly,and the AUC values of IL-6 level and CD4+T lymphocyte count on the 7th day and their combination for predicting 28-day mortality in patients with severe pneumonia and sepsis were 0.743,0.802 and 0.888,respectively.Conclusion The 3-day LAR,IL-6 level and CD4+T lymphocyte count,and the 7-day IL-6 level and CD4+T lymphocyte count after admission are re-lated to the 28-day mortality in patients with severe pneumonia and sepsis.The combined LAR,IL-6 level and CD4+T lympho-cyte count on the 3rd day can better assess the severity and prognosis of patients.

ObjectiveThis study aims to explore risk factors for the development of major adverse cardiovascular and cerebrovascular events （MACCEs） in middle-aged and elderly patients with type 2 diabetes mellitus complicated with stable angina pectoris （T2DM-SAP） based on real-world clinical data in traditional Chinese medicine （TCM）， so as to develop a COX proportional risk prediction model and visualize the predicted results using a nomogram. MethodBased on the clinical scientific research information sharing system， the medical records of 586 T2DM-SAP patients （45-94 years old） were collected from January 2012 to December 2019， including age， gender， course of disease， major medical history， laboratory examination， tongue image， pulse image， TCM syndrome， and major treatment drugs. MACCE outcome indicators of patients were obtained by telephone follow-up and re-hospitalization records. The data was divided into a training set and a validation set according to 7∶3. In the training set， COX univariate analysis was used to determine the risk factors for MACCE in T2DM-SAP patients， and then variables were screened by forward-backward stepwise regression method， so as to establish a MACCE risk prediction model and construct a nomogram. The predictive efficacy of the model was reflected by the C-index， receiver operating characteristic （ROC） curve， calibration map， and clinical decision curve. ResultThe history of cerebrovascular disease ［Hazard ratio （HR）=1.983， 95% confidence interval （CI，1.314-2.993）］， low-density lipoprotein （LDL-C/mmol·L^-1）≥4.1［HR=2.683， 95%CI（1.461-4.925）］， dull red tongue ［HR=1.955， 95%CI（1.273-3.002）］， dull purple tongue ［HR=4.214， 95%CI（2.017-8.803）］， white thick coating ［HR=3.030， 95%CI（1.634-9.293）］， thin and weak pulse ［HR=2.233， 95%CI（1.283-3.888）］， and syndrome of wind-phlegm blocking collaterals ［HR=2.007， 95%CI（1.179-3.418）］ were found to be risk factors in middle-aged and elderly T2DM-SAP patients. Insulin ［HR=0.604， 95%CI（0.399-0.914）］， glycosidase inhibitor ［HR=0.627， 95%CI（0.409-0.962）］， and TCM treatment ［HR=0.328， 95%CI（0.214-0.503）］ were protective factors in middle-aged and elderly T2DM-SAP patients. The prediction model was constructed based on the above risk factors. The C-index of the model was 0.818 （95% CI 0.777 -0.859） in the training set and 0.814 （95% CI 0.773-0.855） in the validation set， and the change of C-index over time was plotted. The AUC of patients for 5， 10， 15 years in the training set was 0.71， 0.67， and 0.61. The AUC of patients for 5， 10， and 15 years in the validation set was 0.60， 0.68， and 0.63， respectively. The calibration map and clinical decision curves of 5， 10， 15 years were drawn in the training set and the validation set， respectively. The model was well calibrated and clinically effective. ConclusionThe history of cerebrovascular disease， LDL， dull red tongue， dull purple tongue， white thick coating， thin and weak pulse， and syndrome of wind-phlegm blocking collaterals are risk factors for MACCE in middle-aged and elderly T2DM-SAP patients， and insulin， glycosidase inhibitors， TCM treatment are protective factors for MACCE in middle-aged and elderly T2DM-SAP patients. A clinical prediction model is established accordingly. This model has good discrimination， calibration degree， and clinical effectiveness and provides a scientific basis for the prevention and treatment of MACCE in middle-aged and elderly T2DM-SAP patients.

The amount of data generated by the human experience in medical cases of classic formulas is large and the research value is high， but how to extract valuable information from these massive data is an important problem of researches on classical formulas. It is concluded that there are many problems in the current study of human experience in classical formulas， such as large amount of data， uneven quality， weak extrapolation and clinical application， which seriously affected the evidence strength of human experience in classical formulas and the contribution to experience accumulation and theoretical support. Therefore， from the structural perspective of the research questions， this paper proposed the research ideas of human experience in medical cases of classic formulas： firstly， according to the characteristics of traditional Chinese medicine （TCM） cases， based on the PICO model， which refers parti-cipants （P）， intervention （I）， comparisons （C）， and outcomes （O）， a TCM medical record evaluation tool in line with the evidence-based concept was constructed to evaluate the quality of medical cases； secondly， constructing a standardized database of human experience in classical formulas and using data mining algorithms to explore the deep relationship hidden in human experience； finally， the clinical value evaluation is carried out to verify the effectiveness of the diagnosis and treatment rules of classical formulas to achieve clinical transformation.

Objective:To explore the effect and mechanism of recovery experience, distress disclosure and self-efficacy on negative emotion in operating room nurses.Methods:The 270 operating room nurses from 4 general hospitals were selected as the research objects by convenience sampling method in May 2023, and cross-sectional investigation was carried out with general data questionnaire, Recovery Experience Scale, Depression-Anxiety-Stress Scale, Distress Disclosure Index Scale and General Self-Efficacy Scale. Model 6 of Hayes′ SPSS-Process program was used to test the mediation effect.Results:Among 270 nurses in the operating room, there were 48 males and 222 females, aged (32.07 ± 5.27) years old. The scores of recovery experience, negative emotion, distress disclosure and self-efficacy of operating room nurses were (42.36 ± 9.67), (25.37 ± 11.25), (38.13 ± 9.41) and (24.37 ± 4.57) points, respectively. The scores of recovery experience of operating rooms nurses with different ages, professional titles, working years in operating rooms and positions were statistically different ( F values were 3.04 to 10.44, all P<0.05). Recovery experience had a direct negative predictive effect on negative emotion ( β=-0.268, P<0.01), and the direct effect was 46.69%. Distress disclosure and self-efficacy had partial mediating effects between recovery experience and negative emotion, independent mediating effects were 16.38%, 30.31%, and chain mediating effects were 6.62%, respectively. Mastering experience and controlling experience were the influencing factors of depression and anxiety, and the differences were statistically significant ( t values were -3.71 to-2.11, all P<0.05). Relaxation experience and psychological detachment were the influencing factors of stress, and the differences were statistically significant ( t=-2.52, -2.30, both P<0.05). Distress disclosure and self-efficacy were the factors influencing the three dimensions of negative emotion, and the differences were statistically significant ( t values were -3.34 to -2.13, all P<0.05). Conclusions:The recovery experience of operating room nurses is a positive psychological factor affecting negative emotion, and distress disclosure and self-efficacy are important psychological mechanisms between them. Managers should pay attention to nurses' negative emotion and the mediating effect of nurses′ distress disclosure and self-efficacy, and take more active measures to reduce the level of negative emotion.

ObjectiveTo evaluate the efficacy and influencing factors of Biejiajianwan in the treatment of primary liver cancer based on real-world data of traditional Chinese medicine （TCM）. MethodClinical diagnosis and treatment data of patients with primary liver cancer admitted to five Grade-A tertiary hospitals in Henan Province from January 2015 to December 2020 were collected from the medical electronic database. The patients treated with Biejiajianwan for ≥30 days were assigned to the exposure group and those without treatment with Biejiajianwan or treated with Biejiajianwan for <30 days to the non-exposure group. The propensity score matching model was used to balance confounding factors between the two groups according to the 1∶1 genetic matching method. Kaplan-Meier method was used for survival analysis and survival curve plotting. Log-rank was used to test the difference in survival rate between the two groups. Univariate analysis of Biejiajianwan in the treatment of primary liver cancer was performed by Log-rank test combined with the Kaplan-Meier method. The factors with statistical significance （P<0.05） were combined with unbalanced factors by the propensity score matching model， and at the same time， clinical common sense and relevant prognostic factors by literature search were considered， which were subjected to multivariate analysis by Cox proportional hazards regression model. ResultA total of 2 207 electronic cases were collected，including 174 cases in the exposure group （Biejiajianwan group） and 2 033 cases in the non-exposure group. After propensity score matching， there were 174 cases in the exposure group and 174 cases in the non-exposure group. The Kaplan-Meier method was used for survival analysis on the matched data， and the Log-rank test results showed that the survival rate of patients with primary liver cancer in the Biejiajianwan group was higher than that in the control group （χ²=12.193， P<0.01）. Cox proportional hazards regression model analysis showed that the regression coefficient of Biejiajianwan was -0.916 4 with the hazard ratio （HR） ［95% confidence interval （CI）］=0.4 （0.239 5-0.668 0）， P<0.01， and the regression coefficient of radiofrequency ablation treatment was -0.976 5 with HR （95% CI）=0.376 6 （0.172 8-0.821 1， P<0.05）. Fibrinogen （FIB） abnormal regression coefficient was 0.481 4 with HR （95% CI）=1.618 4（1.022 0-2.562 9），P<0.05. ConclusionBiejiajianwan can prolong the survival period of patients with primary liver cancer. Radiofrequency ablation is an independent protective factor for Biejiajianwan in the treatment of primary liver cancer，while abnormal FIB are independent risk factors for Biejiajianwan in the treatment of primary liver cancer.

Objective:To establish a machine learning model for the diagnosis of clinically significant prostate cancer based on transrectal contrast-enhanced ultrasound parameters and clinically relevant data.Methods:A retrospective analysis was performed on 151 patients in Chongqing University Cancer Hospital who underwent transrectal contrast-enhanced ultrasonography and transrectal ultrasound-guided needle biopsy from November 2018 to September 2021. The time intensity curve was drawn using VueBox software and 12 parameters such as rise time, peak time, average transit time, peak intensity, and rising slope were quantitatively analyzed. Age, total prostate-specific antigen, free prostate-specific antigen, free prostate-specific antigen ratio, volume, prostate-specific antigen density, and transrectal contrast-enhanced ultrasonography parameters, a total of 18 characteristic parameters, were analyzed and screened through relevant attribute values and information gain attribute values. The screening features were trained and tested by the machine learning single algorithm and integrated algorithm, and then the model was evaluated by the F1 value and the area under the ROC curve(AUC).Results:Using the related attribute value and the information gain attribute value, 12 variables and 5 variables were screened out respectively to establish a machine learning model. The model established by the ensemble algorithm was better than the single algorithm. For the two variable selection methods, the AUC (0.810 vs 0.789) and F1 values (0.748 vs 0.742) of the Bagging ensemble algorithm model, which basic algorithm was decision tree, were the highest, followed by Logistic regression and support vector machine(SVM) in order of AUC and F1 values.Conclusions:Based on transrectal contrast-enhanced ultrasound parameters and clinical data, the Bagging ensemble model based on decision tree has the best performance in diagnosing clinically significant prostate cancer.

Objective:To evaluate the efficacy of gonadotropin-releasing hormone agonist (GnRH-a) pretreatment before total hysterectomy for adenomyosis patients with uterine volume ≥12 gestational weeks and moderate or severe anemia.Methods:From January 2018 to March 2023, 689 patients who underwent total hysterectomy for adenomyosis in the First Affiliated Hospital of Zhengzhou University were retrospectively analyzed. According to the preoperative medication, they were divided into study group (127 cases) and control group (562 cases). Patients in the study group underwent GnRH-a pretreatment for 3 cycles before surgery, and the control group received operation directly. SPSS 26.0 software was used to perform 1∶1 matching for the two groups of patients through the propensity score matching method. Matching variables included age, body mass index, gravidity, parity, history of pelvic and abdominal surgery, menstrual cycle, menstrual period, dysmenorrhea score, initial diagnosis of cancer antigen 125 (CA 125), uterine volume and hemoglobin value. The dysmenorrhea score, uterine volume, hemoglobin value and CA 125 level before and after GnRH-a pretreatment in the study group were compared. And the duration of operation, intraoperative blood loss, postoperative white blood cell count, perioperative blood transfusion cases, postoperative disease rate, duration of hospitalization, total hospitalization cost between the two groups were compared. Results:With propensity score matching, 119 patients in the study group and 119 patients in the control group were finally enrolled in this study. In the study group, before and after the treatment with GnRH-a, the dysmenorrhea score (7.4±1.7 vs 5.6±1.8), uterine volume [(362±160) vs (233±126) cm 3], hemoglobin value [(74.1±10.7) vs (102.5±13.5) g/L], and CA 125 level [(104±76) vs (64±51) kU/L] were statistically different (all P<0.05). There were statistical differences of operation time [(86±18) vs (116±31) minutes], intraoperative blood loss [(24±9) vs (43±22) ml], white blood cell count after 1 day of operation [(9.80±0.10)×10 9/L vs (9.90±0.10)×10 9/L], number of perioperative blood transfusion case [5.9% (7/119) vs 61.3% (73/119)], postoperative disease rate [5.0% (6/119) vs 16.0% (19/119)], hospitalization duration [(7.1±1.6) vs (7.9±1.6) days], and total hospitalization cost [(35 323±5 275) vs (37 159±5 640) yuan] between the study group and the control group (all P<0.05). Conclusion:The pretreatment of using GnRH-a before total hysterectomy for adenomyosis patients with uterine volume ≥12 gestational weeks and moderate or severe anemia is not only conducive to improving dysmenorrhea, signs of anemia, reducing uterine volume, but also conducive to the implementation of surgery, reducing intraoperative and postoperative complications, and reducing hospital costs.

Objective:To investigate the expression levels of peripheral blood lymphocytes in patients with high-grade squamous intraepithelial lesions (HSIL) of the cervix and early cervical cancer, and to analyze their correlation with the clinicopathological characteristics of cervical cancer.Methods:The clinical data of 65 patients with HSIL and 78 patients with early cervical cancer (2018 International Federation of Gynecology and Obstetrics stage ≤ stage Ⅱ A) treated in Shanxi Province Cancer Hospital from October 2020 to November 2021 were retrospectively analyzed, and 31 healthy people undergoing physical examination during the same period were treated as the healthy control group. The expressions of CD3 + T cells, CD4 + T cells, CD8 + T cells, NK cells, NK/T cells and other immune cells in fasting peripheral blood of the patients were detected by using flow cytometry. Results:The expression levels of CD3 + T cells, CD4 + T cells, CD4 +/CD8 + and NK cells were 71±8, 39±7, 1.5±0.5, 16±7, respectively in HSIL group, and 73±9, 41±9, 1.5±0.6, 16±9, respectively in early cervical cancer group, which were lower than those in the healthy control group (76±9, 45±10, 2.0±1.3, 20±7) (all P < 0.05). The expression levels of CD8 + T cells was 28±7, 29±8, respectively in HSIL group and early cervical cancer group, which were higher than those in the healthy control group (24±7) (all P < 0.05). The expression level of total B cells in early cervical cancer group was lower than that in healthy control group (10±4 vs.12±3, P < 0.05). The expression level of CD3 + T cells in peripheral blood of early cervical cancer patients with tumor diameter >4 cm and nerve/vascular invasion was 71±10 and 72±8, which was lower than that of patients with tumor diameter 2-4 cm, ≤2 cm and without nerve/vascular invasion (72±8, 75±8, 78±7); the expression level of CD8 + T cell was 32±8 and 35±4, which was higher than that of patients with tumor diameter 2-4 cm, ≤2 cm, and without nerve/vascular invasion (28±8, 28±7, 29±8) (all P < 0.05). The levels of CD3 + T cells and total B cells were negatively correlated with the tumor diameter (all P < 0.05), while the level of CD8 + T cells was positively correlated with tumor diameter ( P < 0.05); the levels of CD3 + T cells and NK cells were negatively correlated with nerve/vascular invasion (all P < 0.05). Conclusions:The immune function of the body starts to change in the early progression of cervical cancer, and is related to the tumor diameter and nerve/vascular invasion of cervical cancer.