Objective To explore the risk factors of early hypocalcemia after endoscopic thyroidectomy by breast approach(ETBA)and establish a predictive model to evaluate its occurrence risk.Methods A total of 155 patients with thyroid nodules who underwent ETBA were selected.Patients were divided into the low calcium group(＜2 mmol/L,n=41)and the normal group(≥2 mmol/L,n=114)according to the serum calcium level 24 hours after the operation.Before the operation,thyroid function and parathyroid hormone(PTH)were detected,and ultrasound was performed to evaluate cervical lymph node enlargement.Meanwhile,nodule location,maximum tumor diameter,nodule adhesion to the capsule,calcification and the edge of the nodule were also detected.The surgical conditions such as gland resection(unilateral or bilateral),operation time and misresection of parathyroid glands were recorded.PTH and serum calcium were detected 24 hours after the operation.Pathological assessment was used to evaluate benign and malignant conditions,Hashimoto's thyroiditis,multifocal lesions,thyroid capsule invasion and lymph node metastasis.Results Compared with the normal group,the cervical lymph node metastasis,malignant nodules,multifocal lesions,cervical lymph node enlargement,bilateral gland resection,parathyroid gland resection by mistake,combined Hashimoto's thyroiditis,maximum tumor diameter and operation time were increased in the hypocalcemia group,but PTH at 24 hours after the operation was decreased(P＜0.05).Multivariate Logistic regression analysis showed that cervical lymph node metastasis,long operation time,parathyroid resection by mistake,combined Hashimoto's thyroiditis and maximum tumor diameter were independent risk factors for early hypocalcemia in ETBA.Based on this,a visual nomogram model was constructed,with excellent discrimination[the area under the receiver operating characteristic(ROC)curve was 0.920(95%CI:0.834-0.971)],and the calibration curve showed that the predicted values were highly consistent with the measured values(Hosmer-Lemeshow χ2=0.007,P=0.087).Conclusion The nomogram model constructed based on multivariate Logistic regression can effectively predict the risk of early hypocalcemia after ETBA.

Objective To explore the risk factors of early hypocalcemia after endoscopic thyroidectomy by breast approach(ETBA)and establish a predictive model to evaluate its occurrence risk.Methods A total of 155 patients with thyroid nodules who underwent ETBA were selected.Patients were divided into the low calcium group(＜2 mmol/L,n=41)and the normal group(≥2 mmol/L,n=114)according to the serum calcium level 24 hours after the operation.Before the operation,thyroid function and parathyroid hormone(PTH)were detected,and ultrasound was performed to evaluate cervical lymph node enlargement.Meanwhile,nodule location,maximum tumor diameter,nodule adhesion to the capsule,calcification and the edge of the nodule were also detected.The surgical conditions such as gland resection(unilateral or bilateral),operation time and misresection of parathyroid glands were recorded.PTH and serum calcium were detected 24 hours after the operation.Pathological assessment was used to evaluate benign and malignant conditions,Hashimoto's thyroiditis,multifocal lesions,thyroid capsule invasion and lymph node metastasis.Results Compared with the normal group,the cervical lymph node metastasis,malignant nodules,multifocal lesions,cervical lymph node enlargement,bilateral gland resection,parathyroid gland resection by mistake,combined Hashimoto's thyroiditis,maximum tumor diameter and operation time were increased in the hypocalcemia group,but PTH at 24 hours after the operation was decreased(P＜0.05).Multivariate Logistic regression analysis showed that cervical lymph node metastasis,long operation time,parathyroid resection by mistake,combined Hashimoto's thyroiditis and maximum tumor diameter were independent risk factors for early hypocalcemia in ETBA.Based on this,a visual nomogram model was constructed,with excellent discrimination[the area under the receiver operating characteristic(ROC)curve was 0.920(95%CI:0.834-0.971)],and the calibration curve showed that the predicted values were highly consistent with the measured values(Hosmer-Lemeshow χ2=0.007,P=0.087).Conclusion The nomogram model constructed based on multivariate Logistic regression can effectively predict the risk of early hypocalcemia after ETBA.

Hypertriglyceridemia(HTG)during pregnancy may cause serious complications such as acute pancreatitis,gestational diabetes mellitus,and preeclampsia,especially the high mortality rate of maternal acute pancreatitis is of concern.The physiologic increase in triglyceride(TG)levels during pregnancy poses a challenge for the diagno-sis of HTG,there are no diagnostic criteria for preg-nant women.The management of HTG in pregnan-cy remains focused on early screening and a scien-tifically based fat-restricted diet.Omega-3 fatty ac-id therapy may be considered for those who can-not be controlled after strict dietary restriction and lifestyle changes,and fibrates may be used in late pregnancy when the benefits outweigh the risks,as appropriate,and plasma exchange may be a safe and effective option for extremely severe patients.TG levels in early pregnancy are associated with maternal postpartum and neonatal prognosis.Fur-ther studies on pharmacologic treatments and management for HTG in pregnancy are expected.

Rheumatic autoimmune diseases are chronic conditions affecting multiple systems,pre-dominantly occurring in young women of childbear-ing age.Given the nature of diseases and unique physiological changes during pregnancy,they may adversely impact pregnancy outcomes and endan-ger maternal and fetal health.In recent years,with the deepening of immunological research,biologi-cally targeted therapy has gradually become a fo-cus of attention in the treatment of rheumatic au-toimmune diseases in pregnancy.Biologics effec-tively alleviate disease symptoms,mitigate preg-nancy complications,and improve adverse preg-nancy outcomes by targeting pivotal inflammatory factors.The review systematically discusses the structure and pharmacokinetic characteristics of bi-ologics,and comprehensively reviews the current application and future prospects in managing rheu-matic autoimmune diseases in pregnancy based on their specific targets.It aims to provide scientific references and guidance on the safe administration of medications and therapeutic strategies for these patients,ultimately enhancing health outcomes for mothers and infants.

Hypertriglyceridemia(HTG)during pregnancy may cause serious complications such as acute pancreatitis,gestational diabetes mellitus,and preeclampsia,especially the high mortality rate of maternal acute pancreatitis is of concern.The physiologic increase in triglyceride(TG)levels during pregnancy poses a challenge for the diagno-sis of HTG,there are no diagnostic criteria for preg-nant women.The management of HTG in pregnan-cy remains focused on early screening and a scien-tifically based fat-restricted diet.Omega-3 fatty ac-id therapy may be considered for those who can-not be controlled after strict dietary restriction and lifestyle changes,and fibrates may be used in late pregnancy when the benefits outweigh the risks,as appropriate,and plasma exchange may be a safe and effective option for extremely severe patients.TG levels in early pregnancy are associated with maternal postpartum and neonatal prognosis.Fur-ther studies on pharmacologic treatments and management for HTG in pregnancy are expected.

Rheumatic autoimmune diseases are chronic conditions affecting multiple systems,pre-dominantly occurring in young women of childbear-ing age.Given the nature of diseases and unique physiological changes during pregnancy,they may adversely impact pregnancy outcomes and endan-ger maternal and fetal health.In recent years,with the deepening of immunological research,biologi-cally targeted therapy has gradually become a fo-cus of attention in the treatment of rheumatic au-toimmune diseases in pregnancy.Biologics effec-tively alleviate disease symptoms,mitigate preg-nancy complications,and improve adverse preg-nancy outcomes by targeting pivotal inflammatory factors.The review systematically discusses the structure and pharmacokinetic characteristics of bi-ologics,and comprehensively reviews the current application and future prospects in managing rheu-matic autoimmune diseases in pregnancy based on their specific targets.It aims to provide scientific references and guidance on the safe administration of medications and therapeutic strategies for these patients,ultimately enhancing health outcomes for mothers and infants.

Objective:To evaluate the prognostic value of pretreatment systemic immune-inflammation index (SII) and lactate dehydrogenase (LDH) in non-metastatic nasopharyngeal carcinoma (NPC).Methods:We retrospectively collected the data of 839 patients with non-metastatic NPC from National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital and Sun Yat-sen University Cancer Center between January 2007 and October 2015. All patients received intensity modulated radiation based treatment. Optimal cutoff value of SII and LDH were determined by X-title software. The association between SII, LDH and clinical prognosis of non-metastatic NPC patients were analyzed. Kaplan-Meier method was used for survival analysis, and Log rank test was used for comparison of survival rates between groups. Propensity score matching (PSM) analysis was carried out to minimize the effects of confounding factors. The risk stratification model of prognosis by combining N stage, SII and LDH was constructed to compare the prognosis of patients in high risk group, middle risk group and low risk group, and the receiver operating characteristic (ROC) curve analysis was used to evaluate its prognostic value.Results:The optimal cutoff value of SII is 447.2×10 9/L for predicting the 5-year overall survival (OS) of NPC patients, and the best cutoff value of LDH is 198.9 U/L. The proportion of patients with stage T3-4 and stage III-IVB in high SII group was higher than that in low SII group ( P<0.001). Multivariate Cox regression analysis showed that N stage, SII and LDH were independent factors of OS, progression-free survival (PFS) and distant metastasis-free survival (DMFS) of NPC patients (N stage, HR=1.705, 95% CI: 1.247-2.332; HR=1.755, 95% CI: 1.342-2.295; HR=2.161, 95% CI: 1.515-3.082. SII, HR=1.525, 95% CI: 1.097-2.119; HR=1.518, 95% CI: 1.150-2.004; HR=1.837, 95% CI: 1.272-2.653. LDH, HR=2.041, 95% CI: 1.403-2.968; HR=1.725, 95% CI: 1.233-2.414; HR=2.492, 95% CI: 1.690-3.672, respectively). After PSM, SII was still an independent prognostic factor of OS, PFS and DMFS in NPC patients ( HR=1.52, 95% CI: 1.09-2.12; HR=1.52, 95% CI: 1.15-2.00; HR=1.82, 95% CI: 1.26-2.63, respectively). Combined with N 2-3 stage, SII (>447.2×10 9/L), and LDH (>198.9 U/L), patients were divided into high-(3 risk factors), intermediate- (2 risk factors) and low-risk (0-1 risk factors) groups. The 5-year OS rates of patients in low-, intermediate- and high-risk groups were 86.1%, 79.8% and 41.2% respectively, the 5-year PFS rates were 80.7%, 70.2% and 33.9% respectively, and the 5-year DMFS rates were 88.9%, 79.2% and 47.5% respectively. There were significant differences in OS, PFS and DMFS among these three groups ( P<0.001). Distant metastasis was the main failure pattern in low-, intermediate- and high-risk groups, and the highest rate of distant metastasis was 83.3% (15/31) in high-risk group. ROC curve of the risk stratification model for predicting 5-year OS of NPC patients is 0.610, which is higher than TNM stage (0.609), SII (0.574) and LDH (0.558). Conclusions:Pretreatment SII and LDH are significantly correlated with the prognosis of patients with non-metastatic NPC. The combination of SII, LDH and N stage can stratify the prognostic risk of NPC patients. The risk stratification model can enhance the accuracy of prognosis.

Aim To reveal the aetion mechanism of Trillium tschonoskii Maxim (TTM) in the treatment of myoeardial ischemia ( MI) by using network pharma¬cology combined with molecular docking.Methods Compounds of TTM were detected and fished out from TCMID, TCM@TAIWAN , BATMAN-TCM database, and the literature data from PubMed , CNK1, and WAN- FANGD database.PharmMapper database was used to find the targets related to compounds, and DISGeNET, GeneCards, DrugBank and OMIM databases were used to find the targets related to Ml.The predictive targets of TTM in the treatment of Ml were obtained.Cytosca- ope 3.1.2 Software and String database were used to build compound-target network and PP1 network.Gene ontology ( GO ) functional enrichment analysis and Kyoto Encyclopedia of Genes and Genomes ( KEGG ) pathway enrichment analysis were performed by utili¬zing the CludterProfiler Software package of RStudio software.The molecular docking was used for verifying the results of network analysis.Results The 10 active compounds of TTM were screened , and 13 core targets of Ml were predicted, such as ALB, EGFR, MAPK1 , CASP3,ESR1 ,etc.A total of 28 Ml-related signaling pathways were fished out.The results of molecular docking showed that the core active ingredients had good binding activity with the key targets.Conclusion TTM may play a role in the treatment of Ml through regulating multiple ingredients, multiple pathways, and multiple targets.

Objective:To investigate the application value of Da Vinci robotic surgical system in radical resection of perihilar cholangiocarcinoma (pCCA).Methods:The retrospective and descrip-tive study was conducted. The clinicopathological data of 10 patients undergoing Da Vinci robotic radical resetion of pCCA in Union Hospital, Tongji Medical College, Huazhong University of Science and Technology from September 2018 to March 2021 were collected. There were 6 males and 4 females, aged (58±7)years. Observtaion indicators: (1) surgical situations; (2) postoperative situations; (3) follow-up. The patients were followed up by telephone interview and outpatient service to detect survival of patients and tumor recurrence up to June 2021. Measurement data with normal distribution were expressed as Mean± SD, and measurement data with skewed distribu-tion were represented as M(range). Count data were represented as absolute numbers. Results:(1) Surgical situations: 10 patients underwent Da Vinci robotic radical resection of pCCA succe-ssfully, without conversion to laparotomy or intraoperative blood transfusion. The operation time of 10 patients was (465±87)minutes, and the volume of intraoperative blood loss was (167±81)mL. Of the 10 patients, 1 case of Bismuth type Ⅲb had a positive surgical margin and the remaining 9 cases had R 0 resection. (2) Postoperative situations: the time to gastric tube extraction was (2.3±1.9)days, and the duration of postoperative hospital stay of the 10 patients was (19.9±9.0)days. Among the 10 patients, there was no second operation or perioperative death. Of the 10 patients, 6 cases had perioperative complications, including 5 cases wth pleural effusion, 3 cases with peritoneal effusion, and 1 case with intestinal obstruction, some patients had multiple complications. After symptomatic conservative treatment, pleural effusion and peritoneal effusion disappeared and intestinal obstruction was improved. None of the 10 patients had serious complica-tions such as bleeding, biliary fistula or intestinal fistula. (3) Follow-up: 10 patients were followed up for 3-20 months, with a median follow-up time of 11 months. During the follow-up, 3 of 10 patients had tumor recurrence which occurred in intrahepatic bile duct of residual liver, and no implantation metastasis was found in the rest of abdominal cavity. Of the 7 unrecurrent patients, 1 case died of gastrointestinal bleeding and multiple organ failure. Nine of 10 patients survived well. Conclusion:The Da Vinci robotic surgical system used for radical operation of pCCA is feasible.

Objective:To evaluate the prognostic value of pretreatment systemic immune-inflammation index (SII) and lactate dehydrogenase (LDH) in non-metastatic nasopharyngeal carcinoma (NPC).Methods:We retrospectively collected the data of 839 patients with non-metastatic NPC from National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital and Sun Yat-sen University Cancer Center between January 2007 and October 2015. All patients received intensity modulated radiation based treatment. Optimal cutoff value of SII and LDH were determined by X-title software. The association between SII, LDH and clinical prognosis of non-metastatic NPC patients were analyzed. Kaplan-Meier method was used for survival analysis, and Log rank test was used for comparison of survival rates between groups. Propensity score matching (PSM) analysis was carried out to minimize the effects of confounding factors. The risk stratification model of prognosis by combining N stage, SII and LDH was constructed to compare the prognosis of patients in high risk group, middle risk group and low risk group, and the receiver operating characteristic (ROC) curve analysis was used to evaluate its prognostic value.Results:The optimal cutoff value of SII is 447.2×10 9/L for predicting the 5-year overall survival (OS) of NPC patients, and the best cutoff value of LDH is 198.9 U/L. The proportion of patients with stage T3-4 and stage III-IVB in high SII group was higher than that in low SII group ( P<0.001). Multivariate Cox regression analysis showed that N stage, SII and LDH were independent factors of OS, progression-free survival (PFS) and distant metastasis-free survival (DMFS) of NPC patients (N stage, HR=1.705, 95% CI: 1.247-2.332; HR=1.755, 95% CI: 1.342-2.295; HR=2.161, 95% CI: 1.515-3.082. SII, HR=1.525, 95% CI: 1.097-2.119; HR=1.518, 95% CI: 1.150-2.004; HR=1.837, 95% CI: 1.272-2.653. LDH, HR=2.041, 95% CI: 1.403-2.968; HR=1.725, 95% CI: 1.233-2.414; HR=2.492, 95% CI: 1.690-3.672, respectively). After PSM, SII was still an independent prognostic factor of OS, PFS and DMFS in NPC patients ( HR=1.52, 95% CI: 1.09-2.12; HR=1.52, 95% CI: 1.15-2.00; HR=1.82, 95% CI: 1.26-2.63, respectively). Combined with N 2-3 stage, SII (>447.2×10 9/L), and LDH (>198.9 U/L), patients were divided into high-(3 risk factors), intermediate- (2 risk factors) and low-risk (0-1 risk factors) groups. The 5-year OS rates of patients in low-, intermediate- and high-risk groups were 86.1%, 79.8% and 41.2% respectively, the 5-year PFS rates were 80.7%, 70.2% and 33.9% respectively, and the 5-year DMFS rates were 88.9%, 79.2% and 47.5% respectively. There were significant differences in OS, PFS and DMFS among these three groups ( P<0.001). Distant metastasis was the main failure pattern in low-, intermediate- and high-risk groups, and the highest rate of distant metastasis was 83.3% (15/31) in high-risk group. ROC curve of the risk stratification model for predicting 5-year OS of NPC patients is 0.610, which is higher than TNM stage (0.609), SII (0.574) and LDH (0.558). Conclusions:Pretreatment SII and LDH are significantly correlated with the prognosis of patients with non-metastatic NPC. The combination of SII, LDH and N stage can stratify the prognostic risk of NPC patients. The risk stratification model can enhance the accuracy of prognosis.