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 explore the prognostic value of systemic immune-inflammatory index(SII)combined with tumor burden score (TBS) (hereinafter referred to as STS) in patients with intrahepatic cholangiocarcinoma (ICC) after radical resection, and to construct a nomogram model.Methods:The clinical data (including the degree of tumor differentiation, vascular cancer thrombus, and lymph node metastasis, etc.) of 258 ICC patients who received radical resection at People′s Hospital of Zhengzhou University (170 cases, training set) and Cancer Hospital of Zhengzhou University (88 cases, validation set) from January 1, 2016 to January 31, 2020 were retrospectively analyzed and graded by SII, TBS and STS. Multivariate Cox regression analysis were used to identify independent factors affecting the prognosis of patients with ICC. Kaplan-Meier survival curve and receiver operating characteristic curve (ROC) were drawn to evaluate the predictive efficiency of SII, TBS and STS in the overall survival of patients with ICC after radical resection. The nomogram prediction model was constructed and evaluate the performance of nomogram model using consistency index (C-index) and calibration curve.Results:Among 170 ICC patients in the training set, there were 106 cases of SII grade 1 and 64 cases of SII grade 2; 137 cases of TBS grade 1 and 33 cases of TBS grade 2; and 98 cases of STS grade 1, 47 cases of STS grade 2, and 25 cases of STS grade 3. Among 88 ICC patients in the validation set, there were 33 cases of SII grade 1 and 55 cases of SII grade 2; 66 cases of TBS grade 1 and 22 cases of TBS grade 2; and 30 case of STS grade 1, 39 cases of TBS grade 2, and 19 cases of TBS grade 3.The multivariate Cox regression analysis showed that tumor differentiation degree (highly differentiated vs. moderately differentiated HR=0.157, 95% confidence interval(95% CI) 0.045 to 0.546, highly differentiated vs. poorly differentiated HR=0.452, 95% CI 0.273 to 0.750), STS (grade 3 vs. grade 2 HR=1.966, 95% CI 1.148 to 3.469; grade 3 vs. grade 1 HR=1.405, 95% CI 0.890 to 2.216), vascular cancer thrombus ( HR=2.006, 95% CI 1.313 to 3.066), nerve invasion ( HR=1.865, 95% CI 1.221 to 2.850), and lymph node metastasis ( HR=1.802, 95% CI 1.121 to 2.896) were independent influencing factors of overall survival in ICC patients after radical resection (all P<0.05). The Kaplan-Meier survival curve showed that SII, TBS, and STS were independent influencing factors of overall survival in ICC patients (all P<0.05). The results of ROC analysis showed that the areas under the curve of SII, TBS and STS in predicting overall survival of ICC patients after radical resection were 0.566 (95% CI 0.479 to 0.652), 0.585 (95% CI 0.499 to 0.672), and 0.657 (95% CI 0.522 to 0.692), respectively. Tumor differentiation, vascular tumor thrombus, nerve invassion, lymph node metastasis, and STS were included to constract the nomogram model. The C-indexes of the training set and validation set based on the nomogram model were 0.792 (95% CI 0.699 to 0.825) and 0.776 (95% CI 0.716 to 0.833), respectively. The calibration curves of the survival rate of the training set and the validation set were close to the reference lines, and the nomogram model had better predictive ability in both the training set and the validation set. Conclusions:Preoperative STS grading is an effective and practical predictor of overall survival in ICC patients after radical section. Compared with SII and TBS alone, it has better predictive value for the prognosis of patients with ICC.

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: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 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:To observe the activation of cerebral regions during swallowing by magnetoencephalography (MEG), and discuss the temporal and spatial characteristics of neural circuit.Methods:Ten healthy subjects were selected, and the magnetic signals of their brains were recorded using 148 channel full head type MEG system in the magnetic shielding room.Data were analyzed using CURRY8 analysis software and the localization algorithm was based on minimum modulus low resolution electromagnetic imaging method (LORETA). Every 300 ms data were set as an independent analysis stage and made the highest position of the cerebral cortex F-distribution values (F-distributed) as the activation area.The activation areas were analyzed during swallowing through time and space location.Results:Paracentral lobule, anterior central gyrus, medulla oblata, posterior central gyrus, inferior frontal gyrus, parietal lobules, angular gyrus, corpus callosum, middle frontal gyrus, cingulate gyrus, orbital gyrus, thalamus, bottom of third ventricle, corona radiata, precuneus, frontal insula, cerebellopontine angle, superior frontal gyrus and basal ganglia area were activated during swallowing, in which the top eight brain regions were paracentral lobule, anterior central gyrus, corpus callosum, posterior central gyrus, superior parietal lobule, middle frontal gyrus, cingulate gyrus, and basal ganglia.When the 10 subjects performed the deglutition, MEG signals of 8 subjects were mainly activated by the left cerebral hemisphere at 0-300 ms, the bilateral cerebral hemisphere or intermediate region at 301-600 ms, and the right cerebral hemisphere at 601-900 ms.MEG signal of 1 subject was activated by the right cerebral hemisphere at 0-300 ms, and the left cerebral hemisphere at 301-600 ms and 601-900 ms.MEG signal of 1 subject was mainly activated by the right cerebral hemisphere at 0-300 ms and 601-900 ms, and in the intermediate region at 301-600 ms.Conclusion:During swallowing the MEG signals appeared left laterality in the early stage and right laterality in the later stage, and showed a close correlation with time.There may be a swallowing neural circuit composed by the central region, corpus callosum, superior parietal lobule, middle frontal gyrus, cingulate gyrus and basal ganglia, in which the central region is the core.

Objective To investigate the efficacy of volume target pressure control(VTPC)and synchronized intermittent mandatory ventilation(SIMV)in treating severe neonatal respiratory distress syndrome(NRDS). Methods Fifty - six admitted cases with severe NRDS hospitalized in Jiangmen Central Hospital from October 2012 to March 2015 were randomly divided into 2 groups:28 cases in VTPC group were treated by VTPC and SIMV,and 28 cases in pressure control ventilation(PCV)group were treated by PCV and SIMV. There was no significant difference between 2 groups in terms of gender,gestational age,and birth weight(all P ﹥ 0. 05). Artery blood gas analysis was performed at 6 hours,12 hours,24 hours,and 48 hours respectively after ventilation. The following parameters were observed:the time of invasive mechanical ventilation,duration of oxygen therapy,mortality and the incidence rates of hypocapnia,pneumo-thorax,ventilator associated pneumonia( VAP),grade Ⅲ - Ⅳ periventricular intraventricular hemorrhage( PVH -IVH),periventricular leukomalacia(PVL)and bronchopulmonary dysplasia(BPD). Results No case in 2 groups withdrew from the test. There was no significant difference between 2 groups in terms of the first treatment time and total doses of poractant alfa injection(all P ﹥ 0. 05). The time of invasive mechanical ventilation in VTPC group[(71. 75 ± 9. 82)h]was shorter than that in PVC group[(97. 89 ± 16. 88)h](t = 7. 083,P = 0. 000). Hypocapnia incidence of four blood gas analysis in VTPC group[(19. 64 ± 14. 20)% ]was lower than that in PCV group[(47. 32 ± 18. 43)% ] (t = 6. 294,P = 0. 000). Incidence rates of VAP and PVL in VTPC group were lower than those in PCV group(χ2 =5. 197,P = 0. 023;χ2 = 4. 766,P = 0. 029). However,duration of oxygen therapy,mortality and the incidence rates of pneumothorax,Ⅲ - Ⅳ PVH - IVH and BPD were not significantly different between 2 groups( all P ﹥ 0. 05). Conclusion VTPC + SIMV has a better efficacy than PCV + SIMV in the treatment of NRDS.

Objective To observe the clinical efficacy of yang-supplementing thread-embedding (acupoint embedded with catgut soaked in Shenfu injection) in treating shoulder-hand syndrome after cerebral stroke. Method Totally 120 patients were randomized into a treatment group and a control group, 60 cases in each group. The treatment group was intervened by acupoint thread-embedding, while the control group was by conventional acupuncture. The changes of symptoms, joint range of motion (ROM), pain, and Fugl-Meyer Assessment (FMA), and general therapeutic efficacy were observed after 30 d treatment. Result The total effective rate was 95.0% in the treatment group versus 85.0% in the control group, and the difference was statistically significant (P<0.05). Conclusion Yang-supplementing thread-embedding and conventional acupuncture both can mitigate pain induced by shoulder-hand syndrome, increase the range of motion, and significantly improve the upper-limb motor function, while the effect of yang-supplementing thread-embedding is superior to that of conventional acupuncture.

Objective To investigate the curative effect on non-invasive CPAP and SIMV and BiPAP mechanical ventilation in treatment of NRDS. Methods A retrospective study was initiated on clinical data of 162 neonates, who were hospitalized from March 2010 to March 2014 in Jiangmen Central Hospital and underwent the above three modes of non-invasive mechanical ventilation treatment. All cases met the setting standard, and their curative effects were contrasted. Results 53 cases were treated by non-invasive CPAP, 60 cases were operated by non-invasive SIMV, 49 cases were done by non-invasive BiPAP. Among the three groups, the comparison on sex ratio,gestational age of birth and birth weight showed no difference (P > 0.05). The number of effective cases in three groups was 38, 53 and 44 respectively, and the number of invalid cases was 15, 7 and 5 respectively. Among three groups, the curative effect was significant (P > 0.05), curative effect of non-invasive SIMV group showed no difference (P > 0.05) compared with that of non-invasive BiPAP group, curative effect of non-invasive SIMV group and non-invasive BiPAP group was better than that of non-invasive CPAP group (P > 0.05). Conclusion Curative effects of non-invasive SIMV and non-invasive BiPAP for NRDS showed no difference. However, their curative effect is better than that of non-invasive CPAP, which indicates that they can be better choices.