Objective To observe the effect of different volume cerebrospinal fluid replacement therapy on subarachnoid hemorrhage. Methods 60 patients were randomly divided into two groups, A group(n=30) and B group (n=30). Patients in A group received cerebrospinal fluid replacement with a total replacement of 50-70ml each time. Patients in B group received cerebrospinal fluid replacement with a total replacement of 10 - 30ml each time.Results The period to relieve headache in A group was shorter significantly than in B group(P 0.05). The total effect rate of A group was significantly higher than that of B group( P

Objective To investigate the effects of TLR7 on imiquimod induced apoptosis of THP-1 derived macrophages.Methods Three cell lines ( THP-1 derived macrophages, MDCK cell line and HUVEC cell line) with different capabilities of expressing TLR7 were selected.The survival rates of cells af-ter the treatment with different concentrations of imiquimod were detected by MTT assay.The levels of IL-6 in the supernatants of TLR7 inhibitor chloroquine or TLR7-siRNA treated cells were detected by enzyme-linked immunosorbent assay.The apoptosis of cells was detected by flow cytometry after inhibiting the ex-pression of TLR7.Results Imiquimod induced the apoptosis of THP-1 derived macrophages, MDCK cell lines and HUVEC cell lines.The levels of IL-6 were significantly decreased as the expression of TLR7 was inhibited by treating THP-1 derived macrophages with chloroquine or TLR7-siRNA.Treating THP-1 derived macrophages with chloroquine or TLR7-siRNA did not affect the cell apoptosis induced by imiquimod.Con-clusion Imiquimod could induce the apoptosis of THP-1 derived macrophages through TLR7 independent pathway.

Objective To analyze the age difference of gram negative isolates(GNB)from blood culture and antibiotic resistance profile between children and adults. Methods Age difference of pathogen distribution of GNB isolated from blood culture during 2015-2017 were retrospectively analyzed. WHONET 5.6 and Graphpad Prism 6 were used to perform Chi-square test on the pathogen proportion and antibiotic resistance rate. Results A total of 20 145 bacterial strains were isolated in Chongqing from 2015 to 2017. The top three strains of GNB were E. coli(56.7％, 6 688/11 799), K. pneumoniae(19.6％, 2 308/11 799), and P. aeruginosa(4.4％, 522/11 799). The resistant rate of E. coli to carbapenems was less than 1％. The resistant rate of K. pneumoniae to carbapenems was about 5％, while the resistant rate of S. marcescens was approximately 9％, similar to E. cloacae. The overall resistance rates of E. coli from adult patients to most antiobiotic agents were significantly higher than those of children, but the overall resistance rate of K. pneumoniae from children was higher than those of adults. The drug resistance rate of A. baumannii was higher than P. aeruginosa. A. baumannii isolates from adult patients were highly resistant to all drugs tested and more resistant than those from pediatric patients. Conclusions Majority of GNB strains isolated from blood culture were E. coli and K. pneumoniae, for which carbapenems are still active. More attention should be paid to carbapenem-resistant K. pneumoniae from children and A. baumannii from adults. National surveillance of nosocomial bloodstream infection should be highly evaluated.

Objective:To analyze the clinical data of pregnant women complicated with cardiovascular disease in our center in the past 10 years, and to explore the trend of incidence, clinical diagnosis, and treatment of the disease.Methods:Clinical data of pregnant women with cardiovascular disease who delivered in Beijing Anzhen Hospital, Capital Medical University from 2010 to 2019 were collected and analyzed retrospectively. According to the time of the establishment of multidisciplinary team (MDT) in the center, the pregnant women were divided into the first 5-year group (2010-2014) and the second 5-year group (2015-2019). The general data, the composition of pregnancy complicated with cardiovascular disease and the changes of maternal and infant outcomes of the two groups were analyzed.Results:(1) During 2010-2019, there were 2 267 cases of pregnancy complicated with cardiovascular disease (836 cases in the first 5-year group and 1 431 cases in the second 5-year group), with a total incidence of 10.2% (2 267/22 334). Among all kinds of cardiovascular diseases, arrhythmia (41.0%, 930/2 267) and congenital heart disease (38.2%, 865/2 267) were more common. (2) There were 212 cases (25.4%, 212/836) and 426 cases (29.8%, 426/1 431) classified as Ⅲ or Ⅳ by modified WHO cardiovascular risk classification in the first 5-year group and the second 5-year group, respectively, and the difference was statistically significant ( χ2 =5.076, P=0.024). Among all kinds of cardiovascular diseases, there were 111 cases (13.3%, 111/836) and 159 cases (11.1%, 159/1 431) with valvular disease in the first 5-year group and the second 5-year group, respectively. The change of the component ratio was -16.5% (the difference was significant when the absolute value of change>10%), showing a significant decreasing trend. Aortic disease was found in 16 cases (1.9%, 16/836) and 56 cases (3.9%, 56/1 431), respectively, with a significant upward trend of 105.3%. (3) The mortality rate of pregnant women with cardiovascular disease was 1.0% (22/2 267), and 1.2% (10/836) and 0.8% (12/1 431) in the first 5-year grouop and the second 5-year group, respectively. There was no significant difference between the two groups ( χ2=0.702, P=0.402). ICU occupancy rates in the first 5-year group and the second 5-year group were 25.6% (214/836) and 20.7% (296/1 431), respectively, and the difference between the two groups was statistically significant ( χ2=7.306, P=0.007). There were no significant differences in cesarean section rate, mortality rate and incidence of adverse events between the two groups of pregnant women, and there were no significant differences in birth weight, preterm birth rate, mortality rate and asphyxia rate between the two groups of newborns (all P>0.05). Conclusions:Pregnancy complicated with cardiovascular disease is a common cause of adverse obstetric outcomes. There are various types of specific cardiovascular diseases, and the prognosis varies greatly. In recent years, the disease composition ratio has changed, and the severity and complexity of diseases have increased. Hierarchical management, MDT and individual management could improve the treatment level and reduce adverse outcomes.

Objective:To study the factors influencing survival after radical resection in patients with intrahepatic cholangiocarcinoma (ICC), and to construct a nomogram on survival prediction.Methods:The clinical data of 139 patients with ICC who underwent radical resection at the People's Hospital of Zhengzhou University from June 2018 to December 2021 were retrospectively analyzed. There are 69 males and 70 females, aged (59.5±10.2) years old. These patients were divided into two groups based on a 3: 1 ratio by using the random number method: the test group ( n=104) and the validation group ( n=35). Data from the test group was used to construct a nomagram and data from the validation group was used to validate the predictive power of the nomagram. Univariate and multivariate Cox regression analyses were used to analyse factors influencing survival on the test group patients and to construct a nomogram. The predictive accuracy of the nomogram was determined by receiver operating characteristic (ROC) curves, concordance index (C-index) and calibration curves. Results:The results of the multivariate regression analysis showed that a combined hemoglobin, albumin, lymphocyte and platelet immunoinflammation (HALP) score <37.1 ( HR=1.784, 95% CI: 1.047-3.040), CA19-9 > 35U/ml ( HR=2.352, 95% CI: 1.139-4.857), poorly differentiated tumor ( HR=2.475, 95% CI: 1.237-4.953) and vascular invasion ( HR=1.897, 95% CI: 1.110-3.244) were independent risk factors that affected prognosis of patients with ICC after radical resection (all P<0.05). The AUCs of the nomogram in the test group in predicting the overall survival at 1, 2 and 3 years of patients with ICC after radical resection were 0.808, 0.853 and 0.859, respectively. There was good consistency between the prediction of the nomogram and actual observation. The predicted C-index of the total survival period of the test group was 0.765 (95% CI: 0.704-0.826), and the C-index of the validation group was 0.759 (95% CI: 0.673-0.845). Conclusion:A HALP score <37.1, CA19-9>35 U/ml, poorly differentiated tumour and vascular invasion were independent risk factors for prognosis of ICC patients after radical resection. The nomogram was established based on the above factors and showed good performance in predicting overall survival after radical resection in patients with ICC.

Objective:To construct a nomogram prediction model for survival after radical surgical resection of intrahepatic cholangiocarcinoma (ICC) based on the albumin-bilirubin index (ALBI), and to evaluate its predictive efficacy.Methods:From January 2016 to January 2020, 170 patients with ICC who underwent radical surgical resection at the People's Hospital of Zhengzhou University were retrospectively analyzed. There were 90 males and 80 females, aged (58.5±10.6) years old. Based on a ratio of 7∶3 by the random number table, the patients were divided into the training set ( n=117) and the internal validation set ( n=53). The training set was used for nomogram model construction, and the validation set was used for model validation and evaluation. Follow up was conducted through outpatient reexamination and telephone contact. The Kaplan-Meier method was used for survival analysis, and a nomogram was drawn based on variables with a P<0.05 in multivariate Cox regression analysis. The predictive strength of the predictive model was evaluated by analyzing the consistency index (C-index), calibration curve, and clinical decision curve of the training and validation sets. Results:Multivariate Cox regression analysis showed that carbohydrate antigen 19-9 (CA19-9) ≥37 U/ml ( HR=1.99, 95% CI: 1.10-3.60, P=0.024), ALBI≥-2.80 ( HR=2.43, 95% CI: 1.40-4.22, P=0.002), vascular tumor thrombus ( HR=2.34, 95% CI: 1.40-3.92, P=0.001), and the 8th edition AJCC N1 staging ( HR=2.18, 95% CI: 1.21-3.95, P=0.010) were independent risk factors affecting postoperative survival of ICC patients after curative resection. The predictive model constructed based on the above variables was then evaluated, and the C-index of the model was 0.76. Calibration curve showed the predicted survival curve of ICC patients at 3 years after surgery based on the model was well-fitted to the 45° diagonal line which represented actual survival. Clinical decision curve analysis showed that the model had a significant positive net benefit in both the training and validation sets. Conclusion:The nomograph model for survival rate after radical resection of ICC was constructed based on four variables: ALBI, CA19-9, vascular tumor thrombus, and AJCC N staging (8th edition) in this study. This model provided a reference for more accurate prognosis evaluation and treatment selection plan for ICC patients.

Objective:To establish and validate a preoperative differentiateon model of intrahepatic cholangiocarcinoma (ICC) and combined hepatocellular carcinoma (CHC) based on the inflammatory markers and conventional clinical indicators.Methods:The clinical data of 116 patients with ICC or CHC admitted to Henan Provincial People's Hospital from January 2018 to March 2023 were retrospectively analyzed, including 74 males and 42 females, aged (58.5±9.4) years old. The data of 83 patients were used to establish the differentiation model as the training group, including 50 cases of ICC and 33 cases of CHC. The data of 33 patients were used to validate the model as the validation group, including 20 cases of ICC and 13 cases of CHC. The clinical data including the platelet-to-lymphocyte ratio (PLR), systemic immune inflammation index (SII), prognostic inflammatory index (PII), prognostic nutritional index (PNI), neutrophil-to-lymphocyte ratio (NLR) and lymphocyte-to-monocyte ratio (LMR) were collected and analyzed. The receiver operating characteristic (ROC) curve was used to analyze the best cut-off values of PLR, SII, PII, PNI, NLR and LMR. Univariate and multivariate logistic regression analysis were used to determine the differential factors between ICC and CHC. The R software was used to draw the nomogram, calculate the area under the curve (AUC) to evaluate the model accuracy, and draw the calibration chart and the decision curve to evaluate the predictive efficacy of the model.Results:Univariate logistic regression analysis showed that liver cirrhosis, history of hepatitis, alpha fetoprotein, carbohydrate antigen 199, gamma-glutamyltransferase (GGT), PLR, PNI and inflammation score (IS) could be used to differentiate ICC from CHC (all P<0.05). The indicators identified in univariate analysis were included in multivariate logistic regression analysis. The results showed that absence of liver cirrhosis, GGT>60 U/L, PNI>49.53, and IS<2 indicated the pathology of ICC (all P<0.05). Based on the above four factors, a nomogram model was established to differentiate the ICC and CHC. The AUC of ROC curve of the nomogram model in the training and validation groups were 0.851 (95% CI: 0.769-0.933) and 0.771 (95% CI: 0.594-0.949), respectively. The sensitivities were 0.760 and 0.750, and the specificities were 0.818 and 0.769, respectively. The calibration chart showed that the predicted curve fitted well to the reference line. The decision curve showed that the model has a clear positive net benefit. Conclusion:The nomogram model based on inflammatory markers showed a good differentiation performance of ICC and CHC, which could benefits the individualized treatment.

Objective:A predictive nomogram model for the prognosis of intrahepatic cholangiocarcinoma (ICC) patients after curative resection was constructed based on the albumin-bilirubin score and tumor burden score (ATS) grade, and the predictive performance of the nomogram model was evaluated.Methods:Retrospective analysis of clinical data was made, from ICC patients who underwent curative resection at Zhengzhou University People's Hospital and Zhengzhou University Cancer Hospital from January 2016 to January 2020. A total of 258 patients were included in the study, with 140 males and 118 females, with an average age of (56.5±9.5) years. The 258 ICC patients were randomly divided into a training set ( n=174) and a testing set ( n=84) in a 7∶3 ratio. Single-factor and multi-factor Cox regression analyses were performed to identify prognostic factors for ICC patients of the training set, and then a nomogram model was constructed. The performance of the nomogram model was evaluated by using the concordance index (C-index), calibration curve, and risky decision curve analysis. Results:In the training set, univariate Cox regression analysis indicated that albumin-bilirubin (ALBI), tumor burden score (TBS), carcinoembryonic antigen (CEA), tumor differentitation, lymphvascular invasion and ATS significantly influenced overall survival after radical resection for ICC (all P<0.05). Multifactorial Cox regression analysis revealed that ATS grade, CEA, tumor differentiation, lymphovascular invasion, and AJCC N stage are independent risk factors for the prognosis of ICC patients after curative resection (all P<0.05). Assessment of the postoperative survival prediction model based on multifactorial Cox regression yielded a C-index of 0.775(95% CI: 0.747-0.841) for the training set and 0.731(95% CI: 0.668-0.828) for the testing set. The calibration curves for both the training and testing sets indicated strong predictive capability of the model. Additionally, the risk decision curve also suggested high net benefit of the model. Conclusions:The preoperative ATS grade is an independent factor affecting the survival after ICC radical resection. The nomogram model constructed based on ATS grade demonstrates excellent predictive value for postoperative prognosis in ICC patients.

Objective:To explore the relevant risk factors and prognosis of patients with intrahepatic cholangiocarcinoma (ICC) who experienced recurrence within 6 months after surgeryMethods:This retrospective study included a total of 259 patients with ICC a treated at He'nan Provincial People's Hospital and He'nan Cancer Hospital from Jan 2018 to Jan 2020. The clinical and pathological data ,differences between the group with recurrence within 6 months and the group without recurrence within 6 months were compared using the chi-square test. Logistic regression analysis was used to determine the relevant risk factors for recurrence within 6 months. Kaplan-Meier method was used to construct survival and recurrence curves, and survival rates were calculated.Results:The overall survival and recurrence-free survival of patients in the group with recurrence within 6 months were significantly shorter. CA19-9, tumor longitudinal diameter, microvascular invasion, and neural invasion were identified as independent risk factors for recurrence within 6 months after ICC surgery ( P<0.001). Conclusion:The patient population experiencing recurrence within 6 months after ICC surgery has an extremely poor prognosis and possesses a specific tumor microenvironment. CA19-9, tumor longitudinal diameter, microvascular invasion, and neural invasion were identified as independent risk factors for recurrence within 6 months after ICC surgery.

Objective To investigate the effect of diurnal temperature difference on hospitalization volume of patients with cardiovascular and cerebrovascular diseases in Urumqi City. Methods The daily hospitalization data for cardiovascular and cerebrovascular diseases in Urumqi City from 2019-2021, and meteorological and pollutant data for the same period were collected. The relationship between diurnal temperature range and hospitalizations for cardiovascular and cerebrovascular diseases was analyzed using a distribution lag non-linear model (DLNM), controlling for the long-term trends, the day-of-week effects and other factors. Results The greater the diurnal temperature range, the longer the lag time, and the higher the risk of hospitalization for cardiovascular and cerebrovascular diseases. The lag effect increased significantly when the maximum diurnal temperature range reached 21.0°C. The risk effect appeared on the day of exposure and lasted until day 20, with a maximum RR of 1.266 (95% CI: 1.129-1.421) at a lag of 13 days. At very high diurnal temperature range, the risk of hospitalization for cardiovascular and cerebrovascular diseases was higher in the cold season than that in the warm season. Results after stratified analysis by sex and age showed that men and people aged ≥65 years were more susceptible to diurnal temperature range. Conclusion Extremely high diurnal temperature range is a potential trigger for hospitalization for cardiovascular and cerebrovascular diseases in Urumqi. Men and people aged ≥65 years are more vulnerable to the impact of diurnal temperature range. In the cold season, more attention should be paid to protecting vulnerable people from the impact of the extremely high diurnal temperature difference.