Objective:To evaluate the efficacy and safety of baricitinib combined with ruxolitinib cream in the treatment of progressive nonsegmental vitiligo.Methods:Clinical data were retrospectively collected from patients with progressive nonsegmental vitiligo in Boao Super Hospital. All the patients were treated with oral baricitinib daily (2 mg/day for patients weighing ≤ 50 kg; 4 mg/day for those > 50 kg) in combination with topical application of ruxolitinib cream twice daily for 24 consecutive weeks. Disease severity was assessed using the facial vitiligo area scoring index (F-VASI) and total body VASI (T-VASI) at baseline, week 12, and week 24. Adverse reactions were monitored throughout the treatment course.Results:Six patients with progressive nonsegmental vitiligo were collected, including 3 males and 3 females, aged 26 - 42 years, with the disease duration ranging from 0.5 to 25 years. At week 12, 3 patients achieved a 50% ~ < 75% improvement in facial vitiligo lesions (F-VASI 50), 1 patient achieved F-VASI 75 (75% ~ < 90% improvement), and 1 patient achieved T-VASI 50; at week 24, 4 patients achieved F-VASI 50, 1 patient achieved F-VASI 75, 1 patient achieved F-VASI 90 (≥ 90% improvement), and 3 patients achieved T-VASI 50. During the treatment, upper respiratory infection occurred in 1 patient, acne in 1 patient, pruritus in 2 patients, elevation of total cholesterol levels in 2 patients, and increase of high-density lipoprotein levels in 2 patients. No severe adverse events were observed during the treatment.Conclusion:The combination therapy with baricitinib and ruxolitinib cream may have potential efficacy and safety in the treatment of progressive nonsegmental vitiligo.

Background and Aims:Early-onset extensive emphysematous pancreatitis(EP)is a rare but highly lethal subtype of infected pancreatic necrosis(IPN),characterized by abrupt onset and rapid deterioration.This study aimed to investigate its clinical characteristics,microbiological spectrum,treatment approaches,and outcomes to provide evidence for early identification and timely intervention.Methods:A retrospective analysis was performed on 305 IPN patients treated at Xiangya Hospital,Central South University,from January 2010 to October 2023.Eight patients who developed gas accumulation involving≥50%of pancreatic or peripancreatic necrosis within two weeks of onset were defined as early-onset extensive EP.Their clinical data were compared with those of ordinary IPN patients.Results:Early-onset extensive EP accounted for 2.6%of all IPN cases.The early-onset extensive EP group had significantly higher mortality and multiple organ failure rates compared with the ordinary IPN group(75.0%vs.24.6%and 75.0%vs.34.7%,respectively;both P<0.05).A total of 15 microbial isolates were identified from early-onset extensive EP patients,predominantly Klebsiella pneumoniae(62.5%)and Escherichia coli(37.5%).The infection rate of carbapenem-resistant Enterobacteriaceae(CRE)was markedly higher in the EP group than in the ordinary IPN group(75.0%vs.31.1%,P=0.015).Most patients were treated using a step-up approach based on percutaneous catheter drainage,with no significant difference in treatment strategy between the two groups(P=0.625).Conclusion:Early-onset extensive EP represents a rare and fulminant subtype of IPN with extremely poor outcomes.Klebsiella pneumoniae and CRE are the predominant pathogens.Early radiological evaluation and timely intervention are crucial for improving prognosis in these patients.

With rapid development of artificial intelligence(AI)technology,its application in basic medical teaching has become more and more extensive,bringing many changes and innovations to medical education.This paper attempts to apply AI to teaching of Medical Immunology,including preparation of teaching resources,teaching practice process,teaching evaluation and other teaching processes,aiming to improve work efficiency of teachers,optimize teaching strategies,improve teaching quality,stimu-late students'enthusiasm for learning,provide new ideas and methods for teaching reform of Medical Immunology,and promote deep integration of AI and basic medical education and teaching.

Background and Aims:Early-onset extensive emphysematous pancreatitis(EP)is a rare but highly lethal subtype of infected pancreatic necrosis(IPN),characterized by abrupt onset and rapid deterioration.This study aimed to investigate its clinical characteristics,microbiological spectrum,treatment approaches,and outcomes to provide evidence for early identification and timely intervention.Methods:A retrospective analysis was performed on 305 IPN patients treated at Xiangya Hospital,Central South University,from January 2010 to October 2023.Eight patients who developed gas accumulation involving≥50%of pancreatic or peripancreatic necrosis within two weeks of onset were defined as early-onset extensive EP.Their clinical data were compared with those of ordinary IPN patients.Results:Early-onset extensive EP accounted for 2.6%of all IPN cases.The early-onset extensive EP group had significantly higher mortality and multiple organ failure rates compared with the ordinary IPN group(75.0%vs.24.6%and 75.0%vs.34.7%,respectively;both P<0.05).A total of 15 microbial isolates were identified from early-onset extensive EP patients,predominantly Klebsiella pneumoniae(62.5%)and Escherichia coli(37.5%).The infection rate of carbapenem-resistant Enterobacteriaceae(CRE)was markedly higher in the EP group than in the ordinary IPN group(75.0%vs.31.1%,P=0.015).Most patients were treated using a step-up approach based on percutaneous catheter drainage,with no significant difference in treatment strategy between the two groups(P=0.625).Conclusion:Early-onset extensive EP represents a rare and fulminant subtype of IPN with extremely poor outcomes.Klebsiella pneumoniae and CRE are the predominant pathogens.Early radiological evaluation and timely intervention are crucial for improving prognosis in these patients.

Objective:To evaluate the efficacy and safety of baricitinib combined with ruxolitinib cream in the treatment of progressive nonsegmental vitiligo.Methods:Clinical data were retrospectively collected from patients with progressive nonsegmental vitiligo in Boao Super Hospital. All the patients were treated with oral baricitinib daily (2 mg/day for patients weighing ≤ 50 kg; 4 mg/day for those > 50 kg) in combination with topical application of ruxolitinib cream twice daily for 24 consecutive weeks. Disease severity was assessed using the facial vitiligo area scoring index (F-VASI) and total body VASI (T-VASI) at baseline, week 12, and week 24. Adverse reactions were monitored throughout the treatment course.Results:Six patients with progressive nonsegmental vitiligo were collected, including 3 males and 3 females, aged 26 - 42 years, with the disease duration ranging from 0.5 to 25 years. At week 12, 3 patients achieved a 50% ~ < 75% improvement in facial vitiligo lesions (F-VASI 50), 1 patient achieved F-VASI 75 (75% ~ < 90% improvement), and 1 patient achieved T-VASI 50; at week 24, 4 patients achieved F-VASI 50, 1 patient achieved F-VASI 75, 1 patient achieved F-VASI 90 (≥ 90% improvement), and 3 patients achieved T-VASI 50. During the treatment, upper respiratory infection occurred in 1 patient, acne in 1 patient, pruritus in 2 patients, elevation of total cholesterol levels in 2 patients, and increase of high-density lipoprotein levels in 2 patients. No severe adverse events were observed during the treatment.Conclusion:The combination therapy with baricitinib and ruxolitinib cream may have potential efficacy and safety in the treatment of progressive nonsegmental vitiligo.

With rapid development of artificial intelligence(AI)technology,its application in basic medical teaching has become more and more extensive,bringing many changes and innovations to medical education.This paper attempts to apply AI to teaching of Medical Immunology,including preparation of teaching resources,teaching practice process,teaching evaluation and other teaching processes,aiming to improve work efficiency of teachers,optimize teaching strategies,improve teaching quality,stimu-late students'enthusiasm for learning,provide new ideas and methods for teaching reform of Medical Immunology,and promote deep integration of AI and basic medical education and teaching.

Objective To investigate the effect of a three-tier delirium care management process in patients with acute stroke in neurology intensive care unit(NICU).Methods A total of 50 patients with acute stroke admitted to the NICU of the Fourth Hospital of Changsha from May to September 2021 were assigned to the control group.The patients in the control group received routine NICU nursing care to prevent delirium.Another 50 patients with acute stroke admitted to the NICU from December 2021 to April 2022 were assigned to the trial group.They were managed with the three-tier delirium nursing management process on top of the routine NICU nursing care for the control group.The incidence of ICU delirium(DICU),duration of DICU,length of stay in NICU and the incidence of delirium-related adverse events were compared between the two groups.The degree of delirium and cognitive function before and after the intervention were compared between the two groups as well.Results The trial group had significantly shorter duration of DICU and NICU stay(both P<0.05)and lower incidence rate of delirium-related adverse events(P<0.05)compared to the control group.After the intervention,the trial group showed significantly lower scores on the intensive care delirium screening checklist(ICDSC)and significantly higher scores of cognitive function compared to those of the control group(both P<0.05).Conclusion The three-tier delirium nursing management process can lower the occurrence of delirium in NICU patients with acute stroke,shorten the NICU stay,reduce the safety risk in nursing,and improve the cognitive function.

Objective To develop a Nomogram prediction model for post-stroke delirium (PSD) in patients with acute stroke and to verify the effectiveness of the prediction model. Methods A total of 400 patients with acute stroke,admitted to the Department of Neurology in our hospital between June 2022 and March 2023,were retrospectively included in the study as the training group. Independent risk factors for PSD were identified by Logistic regression analysis. A calibration model was constructed to evaluate the consistency of the model. The area under ROC curve (AUC) was used to evaluate the accuracy of the prediction model. Between April and July 2023,172 patients with acute stroke were selected,as the validation group,for external validation of the model. Results The incidence of PSD was found at 27.50％ in the training group and 26.74％ in the validation group. A Nomogram prediction model was constructed with the five predictors:cerebrovascular interventional surgery,hypersensitive C-reactive protein,smoking,National Institutes of Health Stroke Scale (NIHSS) score and age. The calibration curve was found close to the ideal curve with an AUC at 0.797 for the training group,and the risk prediction corresponding to the maximum Youden index was 0.554 with a predicted threshold of 134.63. The calibration curve of the validation group was also found close to the ideal curve,with an AUC of 0.844. Conclusion The nomogram prediction model for PSD in patients with acute stroke demonstrates a good risk prediction value for risk assessment,which can help medical staff to effectively predict the risk for PSD in patients with acute stroke and to take corresponding measures in prevention of PSD.

Objective:To explore the association between child abuse and suicidal ideation in patients with bi-polar disorder.The mediation of self-esteem and depression in this association was also investigated.Methods:A to-tal of 292 patients with bipolar disorder who met the diagnostic criteria of the Diagnostic and Statistical Manual of Mental Disorders,Fifth Edition(DSM-5)were enrolled.Their child abuse,suicidal ideation,self-esteem,depres-sion,and mania were assessed with the Childhood Trauma Questionnaire(CTQ),Beck Scale for Suicide Ideation-Chinese Version(BSICV),Self-Esteem Scale(SES),17-item Hamilton Depression Rating Scale(HAMD-17)and Young Mania Rating Scale(YMRS).The mediating effects were evaluated using PROCESS for SPSS.Results:The BSICV scores were positively associated with the scores of CTQ(r=0.37,P＜0.01)and HAMD-17(r=0.53,P＜0.01)and negatively associated with SES scores(r=-0.50,P＜0.01)in patients with bipolar disorder.Self-esteem and depression played mediating roles between child abuse and suicidal ideation,respectively(95％CI:0.01-0.09,0.01-0.10).Besides,self-esteem and depression sequentially mediated the relationship between child a-buse and suicidal ideation(95％CI:0.02-0.06).Conclusion:Child abuse,low self-esteem,and depression may be related factors of suicidal ideation in patients with bipolar disorder.