Objective To provide a comprehensive description and summary of the clinical characteristics of eosinophilic granulomatosis with polyangiitis(EGPA)in order to enhance understanding of this disease.Methods A total of 33 EGPA patients treated in Zhongshan Hospital,Fudan University,between Jan 2017 and Aug 2022 were included in this retrospective analysis.The diagnosis was based on the 1990 American College of Rheumatology(ACR)classification criteria for EGPA.Clinical manifestations,laboratory examinations,and treatment outcomes of the patients were analyzed.Results Among the 33 EGPA patients,there were 22 males(66.7%)and 11 females(33.3%),with an average age of diagnosis being(47.42±15.83)years old.The most common initial department visited by patients was the rheumatology department(23 cases,69.7%),followed by the respiratory medicine department(6 cases,18.2%).Skin involvement manifested as rash,ulcers,necrosis or gangrene was observed in most cases(23 cases,69.7%),followed by asthma(17 cases,51.5%),infiltrative pneumonia(14 cases,42.4%),peripheral neuropathy(9 cases,27.3%),thrombosis formation(9 cases,27.3%).The mean absolute value of eosinophils in all patients was measured as(3.43±3.52)×109/L,with eight patients(24.2%)testing positive for antineutrophil cytoplasmic antibody(ANCA).Compared with ANCA-negative patients,ANCA-positive individuals exhibited significantly higher Birmingham Vasculitis Activity Score(BVAS)and eosinophil count,as well as a higher incidence rate of renal involvement(P<0.05).Glucocorticoid therapy was administered in thirty-two patients(97%),while biologics or tofacitinib were given to eleven patients(33.3%),among them six received tofacitinib treatment,of which five achieved disease remission.Conclusion EGPA exhibits a wide range of clinical manifestations,and ANCA-positive patients tend to exhibit higher disease activity levels.A multidisciplinary diagnosis and treatment system for EGPA should be established.

Objective To provide a comprehensive description and summary of the clinical characteristics of eosinophilic granulomatosis with polyangiitis(EGPA)in order to enhance understanding of this disease.Methods A total of 33 EGPA patients treated in Zhongshan Hospital,Fudan University,between Jan 2017 and Aug 2022 were included in this retrospective analysis.The diagnosis was based on the 1990 American College of Rheumatology(ACR)classification criteria for EGPA.Clinical manifestations,laboratory examinations,and treatment outcomes of the patients were analyzed.Results Among the 33 EGPA patients,there were 22 males(66.7%)and 11 females(33.3%),with an average age of diagnosis being(47.42±15.83)years old.The most common initial department visited by patients was the rheumatology department(23 cases,69.7%),followed by the respiratory medicine department(6 cases,18.2%).Skin involvement manifested as rash,ulcers,necrosis or gangrene was observed in most cases(23 cases,69.7%),followed by asthma(17 cases,51.5%),infiltrative pneumonia(14 cases,42.4%),peripheral neuropathy(9 cases,27.3%),thrombosis formation(9 cases,27.3%).The mean absolute value of eosinophils in all patients was measured as(3.43±3.52)×109/L,with eight patients(24.2%)testing positive for antineutrophil cytoplasmic antibody(ANCA).Compared with ANCA-negative patients,ANCA-positive individuals exhibited significantly higher Birmingham Vasculitis Activity Score(BVAS)and eosinophil count,as well as a higher incidence rate of renal involvement(P<0.05).Glucocorticoid therapy was administered in thirty-two patients(97%),while biologics or tofacitinib were given to eleven patients(33.3%),among them six received tofacitinib treatment,of which five achieved disease remission.Conclusion EGPA exhibits a wide range of clinical manifestations,and ANCA-positive patients tend to exhibit higher disease activity levels.A multidisciplinary diagnosis and treatment system for EGPA should be established.

As artificial intelligence technology rapidly advances, its deployment within the medical sector presents substantial ethical challenges. Consequently, it becomes crucial to create a standardized, transparent, and secure framework for processing medical data. This includes setting the ethical boundaries for medical artificial intelligence and safeguarding both patient rights and data integrity. This consensus governs every facet of medical data handling through artificial intelligence, encompassing data gathering, processing, storage, transmission, utilization, and sharing. Its purpose is to ensure the management of medical data adheres to ethical standards and legal requirements, while safeguarding patient privacy and data security. Concurrently, the principles of compliance with the law, patient privacy respect, patient interest protection, and safety and reliability are underscored. Key issues such as informed consent, data usage, intellectual property protection, conflict of interest, and benefit sharing are examined in depth. The enactment of this expert consensus is intended to foster the profound integration and sustainable advancement of artificial intelligence within the medical domain, while simultaneously ensuring that artificial intelligence adheres strictly to the relevant ethical norms and legal frameworks during the processing of medical data.
Artificial Intelligence/legislation & jurisprudence* ; Humans ; Consensus ; Computer Security/standards* ; Confidentiality/ethics* ; Informed Consent/ethics*

Background/Aims: Despite the high efficacy of direct-acting antivirals (DAAs), approximately 1–3% of hepatitis C virus (HCV) patients fail to achieve a sustained virological response. We conducted a nationwide study to investigate risk factors associated with DAA treatment failure. Machine-learning algorithms have been applied to discriminate subjects who may fail to respond to DAA therapy. Methods: We analyzed the Taiwan HCV Registry Program database to explore predictors of DAA failure in HCV patients. Fifty-five host and virological features were assessed using multivariate logistic regression, decision tree, random forest, eXtreme Gradient Boosting (XGBoost), and artificial neural network. The primary outcome was undetectable HCV RNA at 12 weeks after the end of treatment. Results: The training (n=23,955) and validation (n=10,346) datasets had similar baseline demographics, with an overall DAA failure rate of 1.6% (n=538). Multivariate logistic regression analysis revealed that liver cirrhosis, hepatocellular carcinoma, poor DAA adherence, and higher hemoglobin A1c were significantly associated with virological failure. XGBoost outperformed the other algorithms and logistic regression models, with an area under the receiver operating characteristic curve of 1.000 in the training dataset and 0.803 in the validation dataset. The top five predictors of treatment failure were HCV RNA, body mass index, α-fetoprotein, platelets, and FIB-4 index. The accuracy, sensitivity, specificity, positive predictive value, and negative predictive value of the XGBoost model (cutoff value=0.5) were 99.5%, 69.7%, 99.9%, 97.4%, and 99.5%, respectively, for the entire dataset. Conclusions Machine learning algorithms effectively provide risk stratification for DAA failure and additional information on the factors associated with DAA failure.

Objective: To analyze the prevalence and the risk factors of fungal sepsis in 25 neonatal intensive care units (NICU) among preterm infants in China, and to provide a basis for preventive strategies of fungal sepsis. Methods: This was a second-analysis of the data from the "reduction of infection in neonatal intensive care units using the evidence-based practice for improving quality" study. The current status of fungal sepsis of the 24 731 preterm infants with the gestational age of <34⁺⁰ weeks, who were admitted to 25 participating NICU within 7 days of birth between May 2015 and April 2018 were retrospectively analyzed. These preterm infants were divided into the fungal sepsis group and the without fungal sepsis group according to whether they developed fungal sepsis to analyze the incidences and the microbiology of fungal sepsis. Chi-square test was used to compare the incidences of fungal sepsis in preterm infants with different gestational ages and birth weights and in different NICU. Multivariate Logistic regression analysis was used to study the outcomes of preterm infants with fungal sepsis, which were further compared with those of preterm infants without fungal sepsis. The 144 preterm infants in the fungal sepsis group were matched with 288 preterm infants in the non-fungal sepsis group by propensity score-matched method. Univariate and multivariate Logistic regression analysis were used to analyze the risk factors of fungal sepsis. Results: In all, 166 (0.7%) of the 24 731 preterm infants developed fungal sepsis, with the gestational age of (29.7±2.0) weeks and the birth weight of (1 300±293) g. The incidence of fungal sepsis increased with decreasing gestational age and birth weight (both P<0.001). The preterm infants with gestational age of <32 weeks accounted for 87.3% (145/166). The incidence of fungal sepsis was 1.0% (117/11 438) in very preterm infants and 2.0% (28/1 401) in extremely preterm infants, and was 1.3% (103/8 060) in very low birth weight infants and 1.7% (21/1 211) in extremely low birth weight infants, respectively. There was no fungal sepsis in 3 NICU, and the incidences in the other 22 NICU ranged from 0.7% (10/1 397) to 2.9% (21/724), with significant statistical difference (P<0.001). The pathogens were mainly Candida (150/166, 90.4%), including 59 cases of Candida albicans and 91 cases of non-Candida albicans, of which Candida parapsilosis was the most common (41 cases). Fungal sepsis was independently associated with increased risk of moderate to severe bronchopulmonary dysplasia (BPD) (adjusted OR 1.52, 95%CI 1.04-2.22, P=0.030) and severe retinopathy of prematurity (ROP) (adjusted OR 2.55, 95%CI 1.12-5.80, P=0.025). Previous broad spectrum antibiotics exposure (adjusted OR=2.50, 95%CI 1.50-4.17, P<0.001), prolonged use of central line (adjusted OR=1.05, 95%CI 1.03-1.08, P<0.001) and previous total parenteral nutrition (TPN) duration (adjusted OR=1.04, 95%CI 1.02-1.06, P<0.001) were all independently associated with increasing risk of fungal sepsis. Conclusions: Candida albicans and Candida parapsilosis are the main pathogens of fungal sepsis among preterm infants in Chinese NICU. Preterm infants with fungal sepsis are at increased risk of moderate to severe BPD and severe ROP. Previous broad spectrum antibiotics exposure, prolonged use of central line and prolonged duration of TPN will increase the risk of fungal sepsis. Ongoing initiatives are needed to reduce fungal sepsis based on these risk factors.
Infant ; Infant, Newborn ; Humans ; Birth Weight ; Intensive Care Units, Neonatal ; Retrospective Studies ; Tertiary Care Centers ; Infant, Extremely Low Birth Weight ; Gestational Age ; Infant, Extremely Premature ; Sepsis/epidemiology* ; Retinopathy of Prematurity/epidemiology* ; Bronchopulmonary Dysplasia/epidemiology*

Humans ; Fibrous Dysplasia, Polyostotic/complications* ; Hemangioma

Food deprivation can rescue obesity and overweight-induced mood disorders, and promote mood performance in normal subjects. Animal studies and clinical research have revealed the antidepressant-like effect of calorie restriction, but little is known about the mechanism of calorie restriction-induced mood modification. Previous studies have found that astrocytes modulate depressive-like behaviors. Inositol 1,4,5-trisphosphate receptor type 2 (IP3R2) is the predominant isoform in mediating astrocyte Ca

Food deprivation can rescue obesity and overweight-induced mood disorders, and promote mood performance in normal subjects. Animal studies and clinical research have revealed the antidepressant-like effect of calorie restriction, but little is known about the mechanism of calorie restriction-induced mood modification. Previous studies have found that astrocytes modulate depressive-like behaviors. Inositol 1,4,5-trisphosphate receptor type 2 (IP3R2) is the predominant isoform in mediating astrocyte Ca
Adenosine Triphosphate ; Animals ; Antidepressive Agents/therapeutic use* ; Caloric Restriction ; Mice ; Mice, Knockout ; Prefrontal Cortex

Since December 2019, novel coronavirus pneumonia (NCP) has been reported in Wuhan, Hubei Province, and spreads rapidly to all through Hubei Province and even to the whole country. The virus is 2019 novel coronavirus (2019-nCoV), never been seen previously in human, but all the population is generally susceptible. The virus spreads through many ways and is highly infectious, which brings great difficulties to the prevention and control of NCP. Based on the needs of orthopedic trauma patients for emergency surgery and review of the latest NCP diagnosis and treatment strategy and the latest principles and principles of evidence-based medicine in traumatic orthopedics, the authors put forward this expert consensus to systematically standardize the clinical pathway and protective measures of emergency surgery for orthopedic trauma patients during prevention and control of NCP and provide reference for the emergency surgical treatment of orthopedic trauma patients in hospitals at all levels.

Major depressive disorder (MDD) is a common mood disorder that affects almost 20% of the global population. In addition, much evidence has implicated altered function of the gamma-aminobutyric acid (GABAergic) system in the pathophysiology of depression. Recent research has indicated that GABA receptors (GABARs) are an emerging therapeutic target in the treatment of stress-related disorders such as MDD. However, which cell types with GABARs are involved in this process is unknown. As hippocampal dysfunction is implicated in MDD, we knocked down GABARs in the hippocampus and found that knocking down these receptors in astrocytes, but not in GABAergic or pyramidal neurons, caused a decrease in immobility in the forced swimming test (FST) without affecting other anxiety- and depression-related behaviors. We also generated astrocyte-specific GABAR-knockout mice and found decreased immobility in the FST in these mice. Furthermore, the conditional knockout of GABARs in astrocytes selectively increased the levels of brain-derived neurotrophic factor protein in hippocampal astrocytes, which controlled the decrease in immobility in the FST. Taken together, our findings contribute to the current understanding of which cell types expressing GABARs modulate antidepressant activity in the FST, and they may provide new insights into the pathological mechanisms and potential targets for the treatment of depression.