摘要:目的:總結巨大垂體腺瘤水鈉代謝紊亂的圍手術期處理經驗。方法:對71例巨大垂體腺瘤患者術前及術后1周內每日檢測血、尿電解質水平,以及血、尿滲透壓,判斷失鈉及失水類型。總結不同瘤體大小與手術入路和水鈉紊亂發生率、程度、時間之間的關系。結果:71例巨大垂體腺瘤患者中,出現水鈉代謝紊亂52例,發生率73.2%。腫瘤大小與水鈉紊亂發生率、嚴重程度、發生時間成正比,而手術入路選擇與水鈉代謝紊亂發生無明顯相關。結論:巨大垂體腺瘤患者術后水鈉代謝紊亂的發生與瘤體大小成正相關,其出現時間和表現形式復雜。對水鈉代謝紊亂嚴重患者可適當予以預防性治療,以減少臨床癥狀和不良后果。Abstract: Objective: To summarize the preioperative management experience of metabolic disturbance of water and natrium for patients with giant pituitary adenomas. Methods: The electrolyte and osmotic pressure of blood and urine in patients with giant pituitary adenomas were detected within preoperative and postoperative one week and the type of the metabolic disturbance of water and natrium were determined. The correlation of the different tumor size and surgical approach with the incidence rate, extent and time of the metabolic disturbance was summarized. Results: There were 52 cases with different extent metabolic disturbance of water and natrium in 71 cases of giant pituitary adenomas(73.2%). There were a positive correlation of tumor size with the incidence rate, extent and time of the metabolic disturbance, and a negative correlation of surgical approach with that of the metabolic disturbance. Conclusion: The metabolic disturbance of water and natrium in giant pituitary adenomas was positive correlation with the tumor size, which. is various in emergence time and pattern of manifestation. To reduce the clinical symptoms and adverse consequences, prophylactic treatment may be used in patients with serious metabolic disorder of water and natrium.
Objective To review the adverse event of hysterectomy caused by postoperative infection after cesarean section, formulate prevention and control strategies in combination with risk assessment tools, promote the standardization of perioperative management, reduce the medical burden on pregnant women, and improve patient satisfaction. Methods The two adverse events of hysterectomy caused by postoperative infection after cesarean section that occurred in the obstetrics ward between October and November 2024 were selected as the research objects. A root cause analysis and risk assessment team composed of personnel from multiple departments was established. Through interviews, observations, and data review, the potential failure modes and causes were sorted out. The risk priority number (RPN) was calculated to determine the high-risk factors. Improvement strategies were formulated and implemented. After two-month implementation, the RPN scores and the compliance of various measures before and after the implementation were compared. Results Before the improvement, the total RPN of the healthcare failure mode and effects analysis was 367.8. When rechecked in January 2025, the total RPN after the improvement dropped to 105.7, and no serious adverse events occurred again. The compliance and passing rates of various operations significantly increased: the intervention rate for maternal malnutrition rose from 17.5% to 48.6%, the passing rate of appropriate timing for prophylactic use of antimicrobial agents before surgery increased from 50.5% to 81.0%, the compliance rate of scrubbing the vagina with disinfectant before surgery increased from 15.0% to 60.0%, the implementation rate of standardized skin disinfection during surgery rose from 66.7% to 95.2%, the passing rate of aseptic techniques and hand hygiene operations during surgery increased from 75.0% to 95.2%, and the timely submission rate of specimens from infected patients increased from 29.4% to 47.6%, and all these differences were statistically significant (P<0.05). Conclusion The combination of healthcare failure mode and effect analysis and root cause analysis can effectively improve adverse events during the perioperative period, optimize the perioperative management of cesarean section, and reduce the risk of infection.
Giant thoracic tumor is currently one of the diagnostic and therapeutic challenges of thoracic surgery, with no established guideline or standard for diagnosis and treatment. The quality control of individualized surgical strategy and perioperative management with multi-disciplinary participation is the key to ensure the safety and improve the prognosis of patients. Based on the clinical experience of our institution and others, we hereby discussed and summarized the basic principles, surgical strategies and perioperative management of giant thoracic tumor, aiming to provide a reference of quality control.
Objective To evaluate the perioperative management strategies and clinical outcomes in a cohort of 22 patients with end-stage heart failure undergoing implantation of left ventricular assist device (LVAD). Methods A retrospective analysis was conducted on the clinical records of patients with end-stage heart failure treated with LVAD at West China Hospital of Sichuan University between January 2021 and June 2025. Surgical outcomes were assessed using perioperative variables, including operative duration, cardiopulmonary bypass and aortic cross-clamp time, length of ICU stay, incidence of adverse events, as well as cardiac function and hemodynamic status at the time of discharge. ResultsThe study included 22 patients (19 male, 3 female) with a mean age of (47.9±12.6) years (range: 27-67 years). Preoperatively, all patients were classified as New York Heart Association (NYHA) functional class Ⅳ. All implantations were performed successfully; however, there were two perioperative mortalities due to gastrointestinal bleeding. Post-implantation, significant improvements in cardiac function and hemodynamics were observed: left ventricular ejection fraction increased from a baseline of 24.0%±5.0% to 31.0%±7.0% (P=0.002), tricuspid annular plane systolic excursion improved from (10.0±2.5) mm to (15.0±3.0) mm (P<0.001), fractional area change increased from 22.5%±6.0% to 30.0%±6.5% (P<0.001), and cardiac index rose from (1.9±0.4) L/(min·m2) to (2.8±0.5) L/(min·m2) (P<0.001). The average length of stay in the ICU was 7 (5, 10) days. No device malfunctions or bleeding events necessitating surgical re-exploration were recorded. Conclusion LVAD therapy provides effective cardiac unloading and enhances systemic perfusion in the perioperative setting, achieving a high rate of survival with the device. Clinical complications are generally manageable. Strengthening right heart evaluation and protection, alongside optimizing perioperative management protocols, holds the potential to further enhance patient outcomes.
With the widespread adoption of lung cancer screening and growing public awareness, the detection rate of pulmonary nodules has increased substantially, posing new challenges for clinical management. Artificial intelligence (AI) has emerged as a powerful tool across the entire management spectrum of pulmonary nodules. Beyond improving detection sensitivity and consistency in chest radiographs and low-dose CT, AI has demonstrated promising applications in malignancy risk assessment, molecular subtype prediction, preoperative 3D planning, intraoperative navigation, and postoperative monitoring. This review summarizes recent advances in the application of AI to pulmonary nodule screening, longitudinal evaluation, pathology prediction, multi-omics integration, and perioperative management. It also discusses the technical characteristics, clinical performance, current limitations, and future prospects of various AI models. The continuous development of AI is reshaping the clinical pathway of pulmonary nodules toward more efficient and individualized care.
ObjectiveTo summarize the individualized selection of surgical treatment strategies and the key points of perioperative management for patients with heart valve disease complicated with severe chronic heart failure.MethodsThe clinical characteristics of 5 male patients with valvular heart disease complicated with severe chronic heart failure (CHF) were analyzed retrospectively from June 2017 to October 2018 in Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, with an average age of 60.21 years.ResultsFive patients were given angiotensin receptor and neprilysin inhibitor (ARNI)-based anti-heart failure treatment after admission. The operation mode of these patients was decided to be valve replacement under cardiopulmonary bypass after individualized evaluation of patients’ improving symptoms. Three patients were treated with intra-aortic balloon pump (IABP) and continuous renal replacement therapy (CRRT) early after operation to assist patients in improving cardiac function. Five patients recovered oral anti-heart failure after awakening. All patients were discharged smoothly 2 weeks after operation.ConclusionIndividualized evaluation is needed for the choice of operation timing and mode, standardized preoperative treatment for heart failure, shortening the aortic blocking time during cardiopulmonary bypass, and early application of left ventricular adjuvant drugs or instruments are all important measures to help patients recover smoothly.
ObjectiveTo explore the influence of enhanced recovery after surgery (ERAS) on intestinal flora in patients with colorectal cancer.MethodsBy convenient sampling method, 60 patients with colorectal cancer were selected from August 2018 to December 2019 in the Department of Gastrointestinal Surgery of West China Hospital of Sichuan University and randomly divided into ERAS group and traditional treatment group (traditional group). Among them, the perioperative clinical management was carried out according to the ERAS management and traditional treatment process in the the ERAS group and in the traditional group, respectively. The fresh fecal samples were collected within 24 h after admission and the first natural defecation after operation. The bacterial 16 Sr DNA V3–V4 region was sequenced by Illumina MiSeq sequencer, and the results were analyzed by bioinformatics.ResultsA total of 60 patients with colorectal cancer were included, 30 cases in the traditional group and 27 cases in the ERAS group (3 people temporarily withdrew from the study). There were no significant differences in the basic informations between the two groups (P>0.05). ① Before or after operation, there were no significant differences in Shannon index and Simpson index between the two groups. The difference between preoperative and postoperative comparison in the same group was also not statistically significant (P>0.05). ② Beta diversity analysis showed that there was no significant difference in community composition between the traditional group and the ERAS group before operation, and there was a clear boundary between the traditional group and the ERAS group after operation. ③ At the phylum level, compared with the preoperative abundance, the postoperative abundance Firmicutes decreased by 26.5% and 5.5% in the traditional and ERAS group, respectively; Bacteroidetes increased by 21.6% and 4.7% in the traditional and ERAS group, respectively; Proteobacteria increased by 7.2% and 2.2% in the traditional and ERAS group, respectively. At the genus level, compared with the preoperative abundance, the postoperative abundance of Bacteroides in the traditional group increased by 17.6% and in the ERAS group decreased by 1.6%; Bifidobacterium decreased by 1.8% and 1.3% in the traditional group and in the ERAS group, respectively.ConclusionsERAS does not affect species diversity of intestinal flora. Although ERAS has some damage to structure of intestinal flora, it is weaker than traditional process, so it is more conducive to reconstruction and restoration of intestinal microecological environment.
We update the "2021 expert consensus on clinical pathway for transcatheter aortic valve replacement in China" using the Delphi method. By searching for evidence related to the clinical pathways of transcatheter aortic valve replacement (TAVR) in PubMed, CIKI, and Wanfang Database over the past four years, 35 core viewpoints were proposed in four directions: TAVR team composition and clinical evaluation, perioperative imaging assessment, surgical process, and perioperative and postoperative long-term management of patients. The specific updates include: refining the responsibilities and composition of the TAVR team, clarifying the steps and content of clinical evaluation; emphasizing the core position of CT in perioperative imaging assessment, and introducing the application of new technologies such as artificial intelligence, numerical simulation, and 3D printing; optimizing the TAVR surgical process, including anesthesia selection, access establishment, valve selection and release, and others; and proposing management strategies for special types of patients (such as emergency TAVR, simplified TAVR, pure aortic regurgitation, combined coronary heart disease and atrial fibrillation). In addition, the consensus also emphasizes the importance of postoperative follow-up and rehabilitation, and provides detailed antithrombotic and rehabilitation guidance. The update of this consensus will further promote the standardized development of TAVR technology in China and improve clinical treatment effects.
The technique of transcatheter aortic valve implantation has become increasingly mature. Although the transapical approach has a certain degree of minimally invasive trauma, it still has the characteristics such as heart beating without cardiopulmonary bypass, and the low technical requirements of catheter guide wire. In particular, the valve path is short and coaxial, which is easy to manipulate, and pure regurgitation and stenosis can be easily operated and are not subject to the limit of peripheral artery stenosis. It is still one of China's main approaches for transcatheter aortic valve replacement. Its perioperative management still has specific features and differs from the femoral artery approach. In addition, there is little relevant literature abroad. Therefore, domestic experts in this field were organized to discuss the development of perioperative management specifications to provide reference and techniques support for developing this field in China and further improve the quality of clinical operation and perioperative management. It will provide more safe and more effective medical services to these patients.
ObjectiveTo summarize the recent research progress of artificial intelligence (AI) for perioperative management of colorectal cancer (CRC), and to explore its clinical application value and future development direction. MethodThe relevant research on AI in the perioperative management of CRC surgery from China National Knowledge Infrastructure, Wanfang, PubMed, and Google Scholar databases in the past 5 years was retrieved and reviewed. ResultsCurrently, AI had been applied throughout the entire process related to CRC surgery. Preoperatively, AI-assisted analysis of CT or MRI images facilitated precise tumor staging assessment, prediction of neoadjuvant therapy response, and surgical planning optimization. Intraoperatively, real-time endoscopic vision integrated with AI enabled tumor localization, tracking, and tissue identification accuracy, enhancing procedural safety. Postoperatively, AI-supported rehabilitation protocols optimized early mobilization, enabled continuous complication monitoring, and refined follow-up management, providing personalized intervention strategies for early clinical intervention to improve patient outcomes. ConclusionsCurrent research demonstrates promising outcomes of AI applications in CRC perioperative management, yet reveals a significant imbalance in research focus with predominant investigations concentrated on preoperative assistance. Notably, postoperative domains, including fall prevention, medication error detection, complication mitigation, adjuvant therapy decision support, psychosocial support, recurrence surveillance, and survival follow-up, exhibit marked deficiencies in AI exploration and clinical translation, constituting a critical weakness in establishing comprehensive intelligent support throughout the perioperative continuum. Future research must extend beyond addressing intraoperative AI challenges to prioritize AI-augmented prediction of short-/long-term complications, optimization of personalized rehabilitation pathways, precision adjuvant therapy decision support, intelligent follow-up systems, and applications enhancing postoperative quality of life and long-term survival outcomes.