Objective:To develop and validate a predictive model for massive hemorrhage during brain tumor resection in pediatric patients.Methods:A retrospective analysis was performed on the clinical data from pediatric patients who underwent elective brain tumor resection under general anesthesia at the Women and Children′s Medical Center Affiliated to Guangzhou Medical University from December 2016 to October 2023. The patients were randomly divided into model group and internal validation group in a ratio of 8∶2. Pediatric patients who underwent elective brain tumor resection under general anesthesia at Qilu Hospital of Shandong University from January 2021 to July 2024 were selected and served as external validation group. Relevant characteristic variables were screened through Lasso regression. A multivariate logistic regression was used to develop the model and plot the nomogram for intraoperative massive hemorrhage. The performance of the model was evaluated using the area under the receiver operating characteristic curve and calibration curve.Results:Through Lasso regression and multivariate logistic regression analyses, 11 independent influencing factors were identified: age ( OR=0.323, 95% confidence interval [ CI]: 0.280-0.374, P<0.001), weight ( OR=0.164, 95% CI: 0.135-0.199, P<0.001), activated partial thromboplastin time ( OR=1.133, 95% CI: 1.036-1.239, P=0.006), thrombin time ( OR=1.141, 95% CI: 1.048-1.243, P=0.002), red blood cell count ( OR=0.941, 95% CI: 0.888-0.996, P=0.035), hemoglobin concentration ( OR=0.873, 95% CI: 0.822-0.926, P<0.001), platelet count ( OR=1.062, 95% CI: 1.001-1.127, P=0.048), maximum tumor diameter ( OR=2.384, 95% CI: 2.241-2.536, P<0.001), tumor invasiveness ( OR=2.376, 95% CI: 2.071-2.726, P<0.001), hydrocephalus ( OR=2.409, 95% CI: 2.139-2.713, P<0.001), and centered midline structure ( OR=0.509, 95% CI: 0.465-0.557, P<0.001). Based on this, a nomogram prediction model was established. The receiver operating characteristic curve showed that the area under the curve of this model in predicting the risk of massive hemorrhage during brain tumor resection was 0.936 (95% CI: 0.90-0.959) in model group, 0.863 (95% CI: 0.744-0.948) in internal validation group, and 0.855 (95% CI: 0.726-0.955) in external validation group. The calibration curve indicated good model consistency, and the Hosmer-Lemeshow goodness-of-fit test result showed a P value of 0.979 ( P>0.05). Conclusions:Age, body weight, activated partial thromboplastin time, thrombin time, red blood cell count, hemoglobin concentration, platelet count, maximum tumor diameter, tumor invasiveness, hydrocephalus and midline structure are independent influencing factors for major bleeding during brain tumor resection in pediatric patients, and the prediction model established based on this histogram has high accuracy.

Objective:To develop and validate a predictive model for massive hemorrhage during brain tumor resection in pediatric patients.Methods:A retrospective analysis was performed on the clinical data from pediatric patients who underwent elective brain tumor resection under general anesthesia at the Women and Children′s Medical Center Affiliated to Guangzhou Medical University from December 2016 to October 2023. The patients were randomly divided into model group and internal validation group in a ratio of 8∶2. Pediatric patients who underwent elective brain tumor resection under general anesthesia at Qilu Hospital of Shandong University from January 2021 to July 2024 were selected and served as external validation group. Relevant characteristic variables were screened through Lasso regression. A multivariate logistic regression was used to develop the model and plot the nomogram for intraoperative massive hemorrhage. The performance of the model was evaluated using the area under the receiver operating characteristic curve and calibration curve.Results:Through Lasso regression and multivariate logistic regression analyses, 11 independent influencing factors were identified: age ( OR=0.323, 95% confidence interval [ CI]: 0.280-0.374, P<0.001), weight ( OR=0.164, 95% CI: 0.135-0.199, P<0.001), activated partial thromboplastin time ( OR=1.133, 95% CI: 1.036-1.239, P=0.006), thrombin time ( OR=1.141, 95% CI: 1.048-1.243, P=0.002), red blood cell count ( OR=0.941, 95% CI: 0.888-0.996, P=0.035), hemoglobin concentration ( OR=0.873, 95% CI: 0.822-0.926, P<0.001), platelet count ( OR=1.062, 95% CI: 1.001-1.127, P=0.048), maximum tumor diameter ( OR=2.384, 95% CI: 2.241-2.536, P<0.001), tumor invasiveness ( OR=2.376, 95% CI: 2.071-2.726, P<0.001), hydrocephalus ( OR=2.409, 95% CI: 2.139-2.713, P<0.001), and centered midline structure ( OR=0.509, 95% CI: 0.465-0.557, P<0.001). Based on this, a nomogram prediction model was established. The receiver operating characteristic curve showed that the area under the curve of this model in predicting the risk of massive hemorrhage during brain tumor resection was 0.936 (95% CI: 0.90-0.959) in model group, 0.863 (95% CI: 0.744-0.948) in internal validation group, and 0.855 (95% CI: 0.726-0.955) in external validation group. The calibration curve indicated good model consistency, and the Hosmer-Lemeshow goodness-of-fit test result showed a P value of 0.979 ( P>0.05). Conclusions:Age, body weight, activated partial thromboplastin time, thrombin time, red blood cell count, hemoglobin concentration, platelet count, maximum tumor diameter, tumor invasiveness, hydrocephalus and midline structure are independent influencing factors for major bleeding during brain tumor resection in pediatric patients, and the prediction model established based on this histogram has high accuracy.

Objective To evaluate the clinical efficacy of oral ulcer protective agent in the prevention and treatment of oral mucositis in nasopharyngeal carcinoma (NPC) radiotherapy and its effect upon serum inflammatory factors.Methods A total of 90 patients diagnosed with nasopharyngeal carcinoma presenting with grade I oral mucositis caused by radiotherapy in our hospital were selected and randomly divided into two groups.In the experimental group,oral ulcer protective agent was given,and Kangfuxin gargle was administered in the control group.The incidence time and degree of radioactive oral mucositis,visual analogue scale (VAS) pain score,serum levels of CRP,TGF-β1,IL-6 and T lymphocyte subsets were statistically compared between two groups by independent-sample t-test.Results At 4 and 6 weeks after corresponding treatment,the incidence of grade Ⅱ and Ⅲ oral mucositis in the experimental group was significantly lower than that in the control group (P=0.018,0.021,0.027,0.014)).In the experimental group,the incidence of moderate and severe pain assessed by VAS was significantly lower compared with that in the control group (P=0.019,0.025);After corresponding treatment,the CRP levels in both groups were down-regulated and the CRP level in the experimental group was considerably lower than that in the control group (P=0.013).The levels of TGF-β1 and IL-6 in the control group were significantly increased (P=0.015、0.021),whereas dramatically declined in the experimental group (P=0.012,0.019).CD3(+),CD4 (+),CD8(+) and CD4(+)/CD8(+) were remarkably elevated in two groups,and more significant increase was observed in the experimental group (P=0.024,0.036,0.029,0.017).Conclusions Oral ulcer protective agent can effectively inhibit the progression of oral mucosal injury,shorten the healing time and relieve the pain of oral mucosal injury in patients with NPC.,which is worthy of clinical application.

Bartter′s syndrome(BS) is a rare renal tubular diseases and an autosomal recessive hereditary disease. The characteristic findings are hypokalemia, metabolic alkalosis, and raised serum renin and aldosterone levels. Combination of metabolic syndrome with Bartter′s syndrome has not been reported so far. Here in, we report a case in order to call attention to the diagnosis and treatment of typical Bartter′s syndrome combined with metabolic syndrome.

Objective To observe the changes in serum High Sensitive C-reactive Protein(hs-CRP)in newly dignosed type 2 diabetic patients after treament with short-term intensive insulin aspart and investigate the relationship of inflammatory factors with insulin resistant.Methods30 newly dignosed ty 2 diabetic were treated by 14 d intensive aspart treament,the levels of fasting plasma glucose(FPG),2hours postprandial glucose(2hPG),insulin and C-peptide,hs-CRP,the mean area under the curve(AUC)of insulin and C-peptide,insulin resistance index(HOMA-A),insulin secretion index(HOMA-B)were compared before and after transient intensive nsulin aspart treament.ResultsAfter the treament,FPG,2hPG,hs-CRP and HOMA-A were significantly decreased(P