Neurocritical care involves complex pathophysiological mechanisms, and its incidence is higher, injuries are more severe, and treatment is more challenging in high-altitude environments. This consensus, based on the latest domestic and international evidence-based medical data, establishes a standardized, goal-oriented framework for neurocritical care management applicable in high-altitude regions and nationwide. The consensus was developed following international standards for evidence quality assessment and underwent two rounds of Delphi expert consultation, resulting in 32 recommendation statements covering three parts: management systems, monitoring and assessment, and core strategies. Key updates include: advocating for the establishment of independent neurocritical care units and implementing precise tiered diagnosis and treatment based on the "Five Differences in Critical Care" concept; constructing a "trinity" multimodal brain monitoring system centered on cerebral blood flow, cerebral oxygenation, and brain function, emphasizing routine bedside transcranial Doppler ultrasound, cerebral oximetry, and continuous electroencephalography monitoring; shifting management strategies from mild hypothermia therapy to targeted temperature management, and defining the "446" target management pathway for the supercritical stage; emphasizing the assessment of static and dynamic cerebrovascular autoregulation functions through multimodal methods to achieve individualized optimal mean arterial pressure management; elevating cerebrospinal fluid management goals to the level of "glymphatic system" function maintenance; implementing a multidisciplinary collaborative, whole-process management model focusing on patients' long-term neurological functional outcomes; de-escalation criteria include multidimensional indicators such as recovery of brain structure, restoration of cerebrovascular autoregulation, improvement in cerebrospinal fluid dynamics, and reduction in biomarker levels; and integrating cutting-edge technologies like artificial intelligence into post-critical care management and rehabilitation planning. This consensus systematically integrates the entire process of neurocritical care management, reflecting the modern connotation of goal-oriented, dynamic, and multimodal integration in neurocritical care medicine. It aims to adapt to new trends such as deepening understanding of pathophysiological mechanisms, the integration of medicine and engineering, and the empowerment of artificial intelligence, thereby further advancing the discipline of critical care medicine.

Objective:To investigate the serum and follicular fluid levels of sterol regulatory element-binding protein 1c(SREBP-1c), leucine-rich α-2-glycoprotein 1(LRG1) and the correlation with insulin resistance(IR) in non-ovarian etiology infertility patients and polycystic ovary syndrome(PCOS) patients with or without IR.Methods:Forty-nine PCOS patients and 66 infertility patients with non-ovarian etiology were collected in this retrospective study, homeostasis model assessment for insulin resistance(HOMA-IR) was used to evaluate IR, and were divided into control group( n=36), IR group( n=30), PCOS alone group( n=28) and PCOS-IR group(PCOS with IR group, n=21). The concentrations of serum, follicular fluid LRG1 and SREBP1c levels in each group were compared, and their correlation with relevant hormones and glycolipid metabolism were analyzed. Results:The levels of serum, follicular fluid LRG1 and SREBP1c in IR group, PCOS alone group and PCOS-IR group were significantly higher than those in control group; The PCOS-IR group showed a more significant increase in the levels of serum, follicular fluid LRG1 and SREBP1c( P<0.05). Correlation analysis showed that serum, follicular fluid LRG1 was positively correlated with body mass index, fasting plasma glucose(FPG), fasting insulin(FINS), triglycerides(TG), and HOMA-IR( P<0.05). Serum, follicular fluid SREBP1c was positively correlated with body mass index, FPG, FINS, TG, total cholesterol, LDL-C, LH, total teststerone, DHEAS, FAI, and HOMA-IR( P<0.05). Binary logistic regression analysis showed that serum SREBP1c was a risk factor for PCOS( P<0.05). Conclusion:The serum and follicular fluid levels of LRG1 and SREBP-1c were elevated in PCOS patients, especially in those with IR. The elevated levels of serum and follicular fluid LRG1 and SREBP-1c may be associated with IR and glucose-lipid metabolism abnormalities in PCOS patients. Serum LRG1 and SREBP-1c levels may serve as new indicators for predicting IR, early diagnosis, and intervention in PCOS patients.