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.

With the widespread adoption of low-dose CT screening and the extensive application of high-resolution CT, the detection rate of sub-centimeter lung nodules has significantly increased. How to scientifically manage these nodules while avoiding overtreatment and diagnostic delays has become an important clinical issue. Among them, lung nodules with a consolidation tumor ratio less than 0.25, dominated by ground-glass shadows, are particularly worthy of attention. The therapeutic challenge for this group is how to achieve precise and complete resection of nodules during surgery while maximizing the preservation of the patient's lung function. The "watershed topography map" is a new technology based on big data and artificial intelligence algorithms. This method uses Dicom data from conventional dose CT scans, combined with microscopic (22-24 levels) capillary network anatomical watershed features, to generate high-precision simulated natural segmentation planes of lung sub-segments through specific textures and forms. This technology forms fluorescent watershed boundaries on the lung surface, which highly fit the actual lung anatomical structure. By analyzing the adjacent relationship between the nodule and the watershed boundary, real-time, visually accurate positioning of the nodule can be achieved. This innovative technology provides a new solution for the intraoperative positioning and resection of lung nodules. This consensus was led by four major domestic societies, jointly with expert teams in related fields, oriented to clinical practical needs, referring to domestic and foreign guidelines and consensus, and finally formed after multiple rounds of consultation, discussion, and voting. The main content covers the theoretical basis of the "watershed topography map" technology, indications, operation procedures, surgical planning details, and postoperative evaluation standards, aiming to provide scientific guidance and exploration directions for clinical peers who are currently or plan to carry out lung nodule resection using the fluorescent microscope watershed analysis method.

“Inflammation-cancer” transformation of chronic atrophic gastritis （CAG） refers to the process in which the gastric mucosa， in the context of CAG， progresses through stages of precancerous lesions of gastric cancer （PLGC）， such as intestinal metaplasia and dysplasia， and eventually develops into gastric cancer （GC）. In China， the incidence and mortality rates of GC rank among the highest in the world， and the proportion of GC cases caused by gastric mucosal infection and inflammation has been increasing. Modern medical treatments for CAG and PLGC mainly rely on drug therapy， endoscopic resection， and regular surveillance. Although these disease management strategies are relatively mature， they present limitations in early lesion prevention and recurrence risk control. Therefore， it is imperative to identify therapeutic approaches for CAG and PLGC that offer preventive， reversible， and recurrence-reducing benefits. With advances in research on the mechanisms underlying inflammation-cancer transformation and the integration of traditional Chinese and Western medicine， the advantages of TCM in preventing and even reversing early-stage CAG and PLGC have gradually become apparent. This review explored the mechanisms of inflammation-cancer transformation in CAG from five aspects： inflammatory microenvironment， autophagy， glycolysis， bile acids， and ferroptosis. In conjunction with TCM theory and a deeper understanding of the distinct mechanisms involved in the inflammation-cancer transformation of CAG， this review further discussed the specific mechanisms through which TCM intervened in treating CAG and PLGC， with the aim of providing theoretical support and therapeutic insights for future clinical applications.

“Inflammation-cancer” transformation of chronic atrophic gastritis （CAG） refers to the process in which the gastric mucosa， in the context of CAG， progresses through stages of precancerous lesions of gastric cancer （PLGC）， such as intestinal metaplasia and dysplasia， and eventually develops into gastric cancer （GC）. In China， the incidence and mortality rates of GC rank among the highest in the world， and the proportion of GC cases caused by gastric mucosal infection and inflammation has been increasing. Modern medical treatments for CAG and PLGC mainly rely on drug therapy， endoscopic resection， and regular surveillance. Although these disease management strategies are relatively mature， they present limitations in early lesion prevention and recurrence risk control. Therefore， it is imperative to identify therapeutic approaches for CAG and PLGC that offer preventive， reversible， and recurrence-reducing benefits. With advances in research on the mechanisms underlying inflammation-cancer transformation and the integration of traditional Chinese and Western medicine， the advantages of TCM in preventing and even reversing early-stage CAG and PLGC have gradually become apparent. This review explored the mechanisms of inflammation-cancer transformation in CAG from five aspects： inflammatory microenvironment， autophagy， glycolysis， bile acids， and ferroptosis. In conjunction with TCM theory and a deeper understanding of the distinct mechanisms involved in the inflammation-cancer transformation of CAG， this review further discussed the specific mechanisms through which TCM intervened in treating CAG and PLGC， with the aim of providing theoretical support and therapeutic insights for future clinical applications.

Alopecia areata （AA） is a common hair loss disorder， and the core pathogenesis is the internal gene-ration of turbid toxin caused by qi movement disorder in the liver， spleen， and kidney. Turbid toxin serves as both a pivotal etiological trigger and a pathological driver of disease exacerbation. Clinically， AA can be classified into four principal patterns， including liver constraint with spleen deficiency， internal accumulation of damp-heat， liver-kidney depletion， and qi-blood depletion. Therapeutic strategies prioritize clearing and resolving turbid toxin while regulating the qi movement of the liver， spleen， and kidney. Accordingly， different formulas were applied. Self-formulated Shugan Jianpi Huazhuo Formula （疏肝健脾化浊方） is suggested to drain dampness， resolve turbidity， and unblock qi movement. Self-formulated Sanjiao Fenxiao Jiedu Formula （三焦分消解毒方） can be used to clear heat， drain dampness and resolve toxin. Self-formulated Zishen Yanggan Toudu Decoction （滋肾养肝透毒汤） can clear and vent latent toxins， while Self-formulated Guiqi Shengfa Didu Formula （归芪生发涤毒方） is employed to tonify qi and blood， purge toxins， and regenerate vitality. By differentiating and treating AA based on the functional patterns of the liver， spleen， and kidney， this approach expands the application scope of the turbid toxin theory and provides valuable insights for treatment of AA.

Critically ill patients are at high risk for hospital acquired infections, which can significantly increase the mortality rate and treatment costs for these patients. Therefore, in the process of treating the primary disease, strict prevention and control of new hospital infections is an essential component of the treatment for critically ill patients. The treatment of critically ill patients involves multiple steps and requires a concerted effort from various aspects such as theory, management, education, standards, and supervision to achieve effective prevention and control of hospital infections. However, there is currently a lack of unified understanding and standards for hospital infection prevention and control. To address this, in March 2024, a group of experts in critical care medicine, infectious diseases, and hospital infection from China discussed the current situation and issues of hospital infection control in the intensive care unit together. Based on a review of the latest evidence-based medical evidence from both domestic and international sources, 2024 Expert Consensus on Hospital Acquired Infection Control Principles in the Department of Critical Care Medicine was formed, aiming to provide a basis for the development of hospital infection prevention and control strategies in the field of critical care medicine.

Objective:To analyze the local recurrence patterns after concurrent chemoradiotherapy (CCRT) for thoracic esophageal squamous cell carcinoma (ESCC) through image fusion, and to explore the risk factors of local recurrence and its relationships with dosimetric indices.Methods:A retrospective analysis was conducted for 209 thoracic ESCC patients who received radical CCRT in Fourth Hospital of Hebei Medical University during 2016-2019. For the patients diagnosed as the local recurrence of esophageal lesions, their CT images were fused with the original planning CT images using image registration software to identify the recurrence sites. Through 1∶1 propensity score matching (PSM) of the clinal data of patients with local recurrence (the recurrence group, nbefore = 81, nafter = 62) and those without local recurrence (the recurrence-free group, nbefore = 128, nafter=62), the dose and volume parameters of the treatment plans for the two groups were compared. Univariate and multivariate analyses were conducted using the Kaplan-Meier method and the Cox regression model to analyze the factors affecting the overall survival (OS), progression-free survival (PFS), and recurrence-free survival (RFS). Results:All patients had 1-, 3-, and 5-year OS rates of 80.9%, 42.6%, and 33.0%, respectively, 1-, 3-, and 5-year PFS rates of 67.9%, 34.0%, and 27.9%, respectively, and 1-, 3-, and 5-year RFS rates of 71.3%, 39.2%, and 30.5%, respectively. T stage, N stage, and radiation dose were independent prognostic factors for the OS, PFS, and RFS ( HR = 1.42-1.87, P < 0.05) of the patients, respectively. Among 68 patients with local recurrence, 62 cases (91.2%) suffered recurrence within the gross tumor volume (GTV). The dose and volume parameters of patients with local recurrence, such as GTV- D95%, clinical target volume (CTV)- D95%, GTV- D50%, CTV- D50%, and planning target volume (PTV)- D50%, GTV- V60, CTV- V60, and PTV- V60, were significantly lower than those of patients free from the local recurrence ( t=1.90-2.15, P < 0.05). Conclusions:Local recurrence of patients with thoracic ESCC after radical CCRT occurs mainly within the GTV. Increasing radiation doses may contribute to their survival benefits. The D50% for each target volume in the radiotherapy plan may be related to local recurrence, and it is necessary to conduct further research.

Objective:To compare the clinical efficacy and safety of Shuo Tong ureteroscopy(ST-URS) and flexible ureteroscope(FURS)combined with holmium laser lithotripsy in the treatment of upper ureteral calculi with CT numerical value ≥ 1000 HU.Methods:A retrospective analysis of the clinical data of patients of upper ureteral calculi with CT numberical value≥1000 HU in the First Affiliated Hospital of Xiamen University was made from January 2018 to November 2020.There were 61 cases treated with ShuoTong ureteroscopy holmium laser lithotripsy (ST-URS group), including 45 males and 16 females, with 40 on the left and 21 on the right, age of(48.3±12.7) years, body mass index of(24.7±2.7)kg/m 2, the diameter of stone of(1.50±0.45)cm, and the CT numberical value of(1 288.8±179.0)(1 017-1 738)HU. There were 87 cases were treated with flexible ureteroscopy holmium laser lithotripsy (FURS group), including 58 males and 29 females, with 56 on the left and 31 on the right, age of(48.5±13.0) years, body mass index of(24.1±3.8)kg/m 2, the stone diameter of(1.45±0.40)cm, and the CT numberical value of(1 311.3±188.9)(1 009-1 817)HU. There were no significant differences in gender, age, body mass index, the location of stone, the diameter of stone and the CT numberical value of stone( P>0.05)between the two groups. For ST-URS group, a rigid ureteral channel sheath and standard mirror(F7.5/11.5)were placed under direct vision, exiting the standard mirror, leaving the channel sheath, inserting a lithotripsy mirror(F4.5/6.5)and a holmium laser[Power: 8-30 W(0.4-1.0 J/20-30 Hz)], and withdrawing the stone fragments after crushing the stone by "nibbling method" . For FURS group, a hard ureteroscope(F8/9.8)was used to explore the lesion side of the ureter, inserting a guide wire and placing a soft ureteral sheath, then inserting a flexible ureteroscope(F8)for holmium laser lithotripsy, and useing a stone basket to remove larger stone fragments. Ureteral stent was routinely indwelled after the operation. On the day 1 and 1 month after the operation, imaging examinations were performed to evaluate the stone-free rate. No residual stones or the diameter of stone was ≤0.4 cm and no urinary tract infection or any symptoms were defined as stone free. The operation time, blood loss, success rate of stage Ⅰ ureteral access sheath placement, incidence of postoperative complications, stone-free rate(SFR) at 1 day after operation, SFR at 1 month after operation, postoperative hospital stay and hospitalization costs were compared between the two groups. According to the size of calculi, the 2 groups were divided into 2 subgroups(≥1.5 cm and <1.5 cm)in order to make further analysis. The operation time, stone-free rate(SFR) at day 1 after operation and SFR at 1 month after operation were compared between the two groups. Results:The operation time of the ST-URS group was shorter than the FURS group(40.10 min vs. 49.43 min, P=0.020), and the incidence of postoperative complications was lower than the FURS group[3.28%(2/61)vs. 13.79%(12/87), P=0.031]. The SFR at day 1 after operation was significantly higher than the FURS group[60.7%(37/61)vs. 25.3%(22/87), P<0.01], and the hospitalization cost was lower than that of the FURS group(27 686 yuan vs. 32 281 yuan, P<0.010). There were no significant differences in the blood loss[(4.92±9.51)ml vs.(3.95±6.04)ml, P=0.452], success rate of stageⅠureteral access sheath placement[ 96.7%(59/61)vs. 96.6%(84/87), P=1.000], SFR at 1 month after operation[81.97%(50/61) vs. 75.86%(66/87), P=0.375] and postoperative hospital stay[(2.5±1.4)d vs.(2.4±0.8)d, P=0.543] between the two groups. When the size of calculi was ≥1.5cm, the operation time of the ST-URS group was shorter than the FURS group (43.67 min vs 55.00 min), the SFR at 1 day after operation was higher than the FURS group[40.00%(12/30)vs. 9.38%(3/32)], and the above differences are all statistically significant ( P<0.05). Conclusions:Compared with the FURS, for the treatment of upper ureteral calculi with CT numerical value ≥1000 HU, the ST-URS has shorter in operative time, lower in hospitalization cost and incidence of postoperative complications and higher SFR at day 1 after operation. The ST-URS is a safe and effective surgical technique, which is superior in the treatment of larger(≥1.5 cm) stones.

Humans ; Cardiac Resynchronization Therapy ; Cardiac Pacing, Artificial ; Heart Ventricles ; Heart Failure/therapy* ; Treatment Outcome ; Electrocardiography ; Ventricular Function, Left

It is noteworthy that only 5% of more than 7000 described rare diseases are treated. In the era of big data, there is ever-increasing data for understanding biomedicine. The need for efficient and rapid data collection, analyses and characterization methods is pressing. Rare diseases can particularly benefit from artificial intelligence (AI) application. AI, with an emphasis on machine learning, creates a path for such efforts and is being applied to diagnosis and treatment. AI has demonstrated its potential to learn and analyze data from different sources with results in prediction。Presently, there are AI-driven technologies applied for rare diseases and this review aims to summarize these advances. Moreover, this review scrutinizes the limitation and identifies the pitfalls of AI applications in the diagnosis and treatment of rare diseases.