Objective:To construct and validate a predictive model for postoperative pulmonary complications (PPCs) in patients undergoing robot-assisted laparoscopic urological surgery.Methods:This retrospective study included the medical records of 932 patients who underwent robot-assisted laparoscopic urological surgery at the First Affiliated Hospital of Zhejiang University School of Medicine from January 2020 to February 2022. The patients were divided into a training group ( n=559) and a validation group ( n=373) at a 6∶4 ratio. Logistic regression analysis was used to determine the independent risk factors for PPCs, and a nomogram prediction model was constructed based on these factors. The performance of the model was evaluated using the receiver operating characteristic curve and calibration curve, and the clinical benefit was assessed using the clinical decision curve analysis. Results:The independent risk factors for PPCs included advanced age (>60 yr), smoking history, respiratory tract infection within 1 month, preoperative low SpO 2 (<96%), and prolonged length of postoperative hospital stay ( P<0.05), and the body mass index (18.5-<28.0 kg/m 2) was a protective factor. The nomogram prediction model developed based on the aforementioned 6 influencing factors had an area under the receiver operating characteristic curve of 0.81 (95% confidence interval 0.76-0.86) in training group and 0.80 (95% confidence interval 0.75-0.86) in validation group. The calibration curve indicated a good consistency between the predicted and actual occurrence curves, and the clinical decision curve analysis showed good accuracy and net benefit of the prediction model. Conclusions:The predictive model for PPCs is successfully constructed based on age, low body mass index, smoking history, history of respiratory tract infection within 1 month, preoperative low SpO 2 and prolonged length of postoperative hospital stay and has good predictive performance in patients undergoing robot-assisted laparoscopic urological surgery.

Objective:To construct and validate a predictive model for postoperative pulmonary complications (PPCs) in patients undergoing robot-assisted laparoscopic urological surgery.Methods:This retrospective study included the medical records of 932 patients who underwent robot-assisted laparoscopic urological surgery at the First Affiliated Hospital of Zhejiang University School of Medicine from January 2020 to February 2022. The patients were divided into a training group ( n=559) and a validation group ( n=373) at a 6∶4 ratio. Logistic regression analysis was used to determine the independent risk factors for PPCs, and a nomogram prediction model was constructed based on these factors. The performance of the model was evaluated using the receiver operating characteristic curve and calibration curve, and the clinical benefit was assessed using the clinical decision curve analysis. Results:The independent risk factors for PPCs included advanced age (>60 yr), smoking history, respiratory tract infection within 1 month, preoperative low SpO 2 (<96%), and prolonged length of postoperative hospital stay ( P<0.05), and the body mass index (18.5-<28.0 kg/m 2) was a protective factor. The nomogram prediction model developed based on the aforementioned 6 influencing factors had an area under the receiver operating characteristic curve of 0.81 (95% confidence interval 0.76-0.86) in training group and 0.80 (95% confidence interval 0.75-0.86) in validation group. The calibration curve indicated a good consistency between the predicted and actual occurrence curves, and the clinical decision curve analysis showed good accuracy and net benefit of the prediction model. Conclusions:The predictive model for PPCs is successfully constructed based on age, low body mass index, smoking history, history of respiratory tract infection within 1 month, preoperative low SpO 2 and prolonged length of postoperative hospital stay and has good predictive performance in patients undergoing robot-assisted laparoscopic urological surgery.

Dyslipidemia is an important risk factor of atherosclerotic cardiovascular disease (ASCVD). Statins delay the occurrence and development of ASCVD, and reduce the risk of cardiovascular events and death. Due to safety concerns, there exist insufficient use of lipid-lowering agents and a high withdrawal rate of the agents in the elderly. To promote the prevention and treatment of ASCVD, this expert consensus is issued and focuses on the management of dyslipidemia of Chinese elderly basing on the clinical evidence of the use of lipid-lowering drugs by the elderly, and the lipid management guidelines and expert consensus recommendations at home and abroad.

Parotid gland tumor is the most common salivary gland tumor and surgery is the main treatment method. The conventional surgery for the treatment of parotid tumor is mostly performed by using large incision which often causes complications and aesthetic problems to patients. With the advancement of medical technology, deeper understanding of histopathology and anatomy by the surgeons, as well as patients′ higher demands on aesthetics and functions, the surgical methods and incisions have been constantly improved. This review focuses on the evolution of surgical approaches and incisions for the treatment of parotid tumors and provides an outlook based on the preliminary application of endoscopically assisted parotid tumor resection.

Objective:To observe the effect of peripheral 5-hydroxytryptophan (5-HT)-induced neutrophil extracellular trap (NET) on lung injury in septic mice.Methods:Wild-type (WT type) and Tph1 knockout (KO) C57 mice (6-8 weeks) were selected and divided into WT mice sham group, WT mice sepsis group, Tph1 KO mice sham group and Tph1 KO mice sepsis group according to the random number table method. Mice in the sham group received sham surgery (only open the abdominal cavity to flip the cecum without ligation and puncture, and then close the abdominal cavity); the mice in the sepsis group received cecal ligation and puncture (CLP) to establish sepsis model. The mice were sacrificed 12 hours after the operation, and the levels of tumor necrosis factor-α (TNF-α) and interleukin-6 (IL-6) in bronchialalveolar lavage fluid (BALF) were detected by enzyme linked immunoadsordent assay (ELISA); at the same time, the lung tissues were collected, and the pathological changes of lung tissues were observed under light microscope, and the production of NET in lung tissues was observed by immunofluorescence microscope. Results:The pathological results suggested that the lung tissue structure in sham groups was intact without exudation, while the alveolar structures of mice in the sepsis groups were damaged, with obvious exudation in the alveolar cavity and thickened alveolar walls accompanied by a large number of inflammatory cell infiltration, and the degree of lung injury in the sepsis group of WT mice was more severe than that of the sepsis group of Tph1 KO mice. ELISA results showed that there was no statistically significant difference in the contents of TNF-α and IL-6 in mice BALF from different strains of the sham group; while the contents of TNF-α and IL-6 in BALF of septic mice group were significantly higher than those in sham group [WT mice: TNF-α (μg/L) was 158.20±28.46 vs. 14.00±3.28, IL-6 (μg/L) was 304.98±21.78 vs. 57.70±12.30; Tph1 KO mice: TNF-α (μg/L) was 85.88±20.13 vs. 14.95±1.53, IL-6 (μg/L) was 169.50±45.61 vs. 55.05±12.68, all P < 0.01], and the above index levels in the sepsis group of WT mice were significantly higher than the sepsis group of Tph1 KO mice [TNF-α (μg/L): 158.20±28.46 vs. 85.88±20.13, IL-6 (μg/L): 304.98±21.78 vs. 169.50±45.61, both P < 0.01]. Immunofluorescence staining showed that a very small amount of NET formation was detected in the mice lungs from the sham group; a large amount of NET formation was detected in the lung tissues in the sepsis group, which were significantly higher than those in sham group [WT mice: (34.75±7.27)% vs. (1.75±0.96)%, Tph1 KO mice: (14.25±5.74)% vs. (2.50±1.29)%, both P < 0.01], and the amount of NET produced in the lung tissues of the WT mice sepsis group was significantly higher than that of the Tph1 KO mice sepsis group [(34.75±7.27)% vs. (14.25±5.74)%, P < 0.01]. Conclusions:In sepsis, the increased production of inflammatory factors in the mice lung tissues induces to lung injury. The mechanism may relate to the increased production of NET in the lung tissues mediated by peripheral 5-HT synthesized by enterochromaffin cells and released into the blood; inhibiting the production of 5-HT in the peripheral blood can effectively reduce the production of NET in the lung tissues, thereby reducing lung injury.

Objective To explore the independent risk factors of the prolonged time of retention ICU after type A aortic dissection operation,to establish a corresponding perioperative risk assessment system.Methods A total of 509 consecutive patients with type A aortic dissection were enrolled in the study from September 2011 to May 2016,among which,418 patients received emergency operation.The prolonged retention time of ICU was considered as endpoint event.A perioperative assessment system was established through the analysis of related risk factors of the most common complications after type A aortic dissection operation.The possible risk factors of prolonged retention time of ICU were introduced into a single factor analysis.The meaningful variables in the single factor analysis were introduced into logistic regression analysis.The independent risk factors which were obtained from logistic regression analysis were used to establish risk prediction modeL,and the ROC curve and Hosmer-Lemeshow goodness of fit test were used to evaluate the model.Results The perioperative mortality rate was 8.64％,the prolonged retention time of ICU was 5.06 days,and 98 cases exceeded 7 days.The results of logistic regression analysis showed that age,the history of stroke,obesity,emergency operation,cardiopulmonary bypass time,deep hypothermic circulatory arrest time,renal inadequacy,massive transfusion,hypoxemia,and pulmonary infection were the independent risk factors for prolonged retention time of ICU.Accordingly,a mathematical model was established.The area under ROC cure for prediction model(AUC) =0.761,Hosmer-Lemeshow goodness of fit test P =0.512.Conclusion The logistic model estabhshed in this study can successfully predict ICU retention time after type A aortic dissection operation,and the efficacy was predicted satisfactorily.