Objective To investigate the clinical role of central venous pressure(CVP) to evaluate fluid responsiveness in septic shock patients. Methods 66 septic shock patients were studied, every patient was administered a volume challenge, before and after it, CVP, intrathoracic blood volume index (ITBVI),global end-diastolic volume index(GEDVI), cardiac index(CI), stroke volume index(SVI) were measured by PiCCO method. All the obtained values were analyzed by statistics method. Results Initial CVP in responders is significantly different from that in nonresponders; △ITBVI, △GEDVI, △CI, △SVI, △HR (△:changes) before and after volume challenge in responders were significantly different from those in nonresponders; the significance of △ITBVI, AGEDVI to predict volume responsiveness was strong indicated by high values of areas under the receiver operating characteristic curves (0.674 and 0.700, respectively).If patients were regrouped by CVP≤11 mm Hg(1 mm Hg=0.133 kPa) and CVP > 11 mm Hg, initial ITBVI and GEDVI in responders were not significantly different from that in nonresponders; △ITBVI,△GEDVI, △CI, △SVI before and after volume challenge in responders were significantly different from those in nom'esponders. Conclusion In septic shock patients, CVP play a guidance role to predict and evaluate volume responsiveness and when CVP was > 11 nun Hg, a positive response will be less likely. Initial volumetric parameters(intrathoracic blood volume and global end-diastolic volume) play a questionable role in predicting and evaluating volume responsiveness, changes before and after volume challenge maybe helpful.

Objectlve To research and analyze the hemod)rnamic status of refractory septic shock associated cardiac dysfunction.Methods 70 refractory septic shock patients were studied.In the duration of pulmonary artery catheter(PAC)-directed hemodynamic optimization,the patients were divided into a cardiac dysfunction group and a control group.Hemodynamic parameters,arterial blood lactate concentration and APACHE II scores were obtained instantly after the placement of a PAC,then lactate clearance in 24 hours was surveyed and calculated.Subsequently the two groups of patients were regrouped by nonsurvivor and survivors respectively.All the obtained values were analyzed with statistic methods.Results 37% of the refractory septic shock patients was complicated with cardiac dysfunction.The age of the patients complicated with cardiac dysfunction was significantly higher than that of the patients of the control group.Central venous pressure(CVP),pulmonary artery obstruction pressure(PAOP),pulmonary artery pressure (PAP),systemic vascular resistance index(SVRI),pulmonary vascular resistance index(PVRI)and oxygen extraction ratio(O2ext)in the cardiac dysfunction group were significantly different from those in the control group.Cardiac output(CO),cardiac index(CI),oxygen delivery index(DO2I)and mixed venous oxygensaturation(S-v O2)were significantly lower than those of the patients in the control group.S -v O2 had a strong correlation witIl CI.If the patients were regrouped by nonsurvivors and survivors.in the patients complicated with cardiac dysfunction APACHE II scores were significantly higher in the nonsurvivors than survivors:the lactate clearance in 24 hours(median-25%)of the nonsurvivors was significantly lower than that of nonresponders(median 22%),P＜0.05.Conclusion (1)In refractory septic shock patients,cardiac dysfunction maybe the main reason leading to bad outcome.(2)Higher CVP and PAOP and lower S -v O2 indicate the onset of cardiac dysfunction.(3)The patients with significantly high initial arterial blood lactate level and the low lactate clearance in 24 hours had bad outcome.

To establish the experts consensus on the management of delirium in critically ill patients.A special committee was set up by 15 experts from the Chinese Critical Hypothermia-Sedation Therapy Study Group.Each statement was assessed based on the GRADE (Grading of Recommendations Assessment,Development,and Evaluation) principle.Then the Delphi method was adopted by 36 experts to reassess all the statements.(1) Delirium is not only a mental change,but also a clinical syndrome with multiple pathophysiological changes.(2) Delirium is a form of disturbance of consciousness and a manifestation of abnormal brain function.(3) Pain is a common cause of delirium in critically ill patients.Analgesia can reduce the occurrence and development of delirium.(4) Anxiety or depression are important factors for delirium in critically ill patients.(5) The correlation between sedative and analgesic drugs and delirium is uncertain.(6) Pay attention to the relationship between delirium and withdrawal reactions.(7) Pay attention to the relationship between delirium and drug dependence/ withdrawal reactions.(8) Sleep disruption can induce delirium.(9) We should be vigilant against potential risk factors for persistent or recurrent delirium.(10) Critically illness related delirium can affect the diagnosis and treatment of primary diseases,and can also be alleviated with the improvement of primary diseases.(11) Acute change of consciousness and attention deficit are necessary for delirium diagnosis.(12) The combined assessment of confusion assessment method for the intensive care unit and intensive care delirium screening checklist can improve the sensitivity of delirium,especially subclinical delirium.(13) Early identification and intervention of subclinical delirium can reduce its risk of clinical delirium.(14) Daily assessment is helpful for early detection of delirium.(15) Hopoactive delirium and mixed delirium are common and should be emphasized.(16) Delirium may be accompanied by changes in electroencephalogram.Bedside electroencephalogram monitoring should be used in the ICU if conditions warrant.(17) Pay attention to differential diagnosis of delirium and dementia/depression.(18) Pay attention to the role of rapid delirium screening method in delirium management.(19) Assessment of the severity of delirium is an essential part of the diagnosis of delirium.(20) The key to the management of delirium is etiological treatment.(21) Improving environmental factors and making patient comfort can help reduce delirium.(22) Early exercise can reduce the incidence of delirium and shorten the duration of delirium.(23) Communication with patients should be emphasized and strengthened.Family members participation can help reduce the incidence of delirium and promote the recovery of delirium.(24) Pay attention to the role of sleep management in the prevention and treatment of delirium.(25) Dexmedetomidine can shorten the duration of hyperactive delirium or prevent delirium.(26) When using antipsychotics to treat delirium,we should be alert to its effect on the heart rhythm.(27) Delirium management should pay attention to brain functional exercise.(28) Compared with non-critically illness related delirium,the relief of critically illness related delirium will not accomplished at one stroke.(29) Multiple management strategies such as ABCDEF,eCASH and ESCAPE are helpful to prevent and treat delirium and improve the prognosis of critically ill patients.(30) Shortening the duration of delirium can reduce the occurrence of long-term cognitive impairment.(31) Multidisciplinary cooperation and continuous quality improvement can improve delirium management.Consensus can promote delirium management in critically ill patients,optimize analgesia and sedation therapy,and even affect prognosis.

The tasks of artificial intelligence (AI) in tumor histopathology include image segmentation and classification. Currently, the specific contents including lymph node metastasis, pathological classification, grade and prognostic evaluation of malignant diseases, such as breast cancer, lung cancer and prostate cancer, have been studied by AI. Evaluation of sentinel lymph node metastasis of breast cancer has been the most mature application of AI technology, whose level can be analogous to the excellent pathologists. In the future, with the close cooperation of pathologists and engineers, the research of AI will be focus on improving the technology of simple and repetitive clinical diagnosis and differential diagnosis, such as the diagnosis of sentinel lymph node metastasis of breast cancer from biopsy frozen section and the judgment of incisal margin. Ultimately, AI will help us to precisely diagnose the tumor.

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.

BACKGROUND: Perioperative treatment has become an increasingly important aspect of the management of patients with non-small cell lung cancer (NSCLC). Small-scale clinical studies performed in recent years have shown improvements in the major pathological remission rate after neoadjuvant therapy, suggesting that it will soon become an important part of NSCLC treatment. Nevertheless, neoadjuvant immunotherapy may be accompanied by serious adverse reactions that lead to delay or cancelation of surgery, additional illness, and even death, and have therefore attracted much attention. The purpose of the clinical recommendations is to form a diagnosis and treatment plan suitable for the current domestic medical situation for the immune-related adverse event (irAE). METHODS: This recommendation is composed of experts in thoracic surgery, oncologists, thoracic medicine and irAE related departments (gastroenterology, respirology, cardiology, infectious medicine, hematology, endocrinology, rheumatology, neurology, dermatology, emergency section) to jointly complete the formulation. Experts make full reference to the irAE guidelines, large-scale clinical research data published by thoracic surgery, and the clinical experience of domestic doctors and publicly published cases, and repeated discussions in multiple disciplines to form this recommendation for perioperative irAE. RESULTS: This clinical recommendation covers the whole process of prevention, evaluation, examination, treatment and monitoring related to irAE, so as to guide the clinical work comprehensively and effectively. CONCLUSIONS Perioperative irAE management is an important part of immune perioperative treatment of lung cancer. With the continuous development of immune perioperative treatment, more research is needed in the future to optimize the diagnosis and treatment of perioperative irAE.