Rabbit syndrome (RS), characterized by fine, rapid, rhythmic movements along the mouth’s vertical axis, is typically linked to prolonged antipsychotic medication use. Emerging evidence suggests newer antipsychotics’ involvement in RS, prompting investigation into its association with long-acting injectable antipsychotics (LAIs) for schizophrenia or bipolar disorder. We report a case of RS observed in a patient diagnosed with bipolar I disorder and treated with Abilify Maintena, highlighting the importance of vigilance in monitoring adverse effects. The patient, a 53-year-old male, experienced persistent manic episodes despite prior treatments. Upon initiation of Abilify Maintena 400 mg, RS symptoms manifested seven months later, remaining resistant to medication adjustments. This case emphasizes the significance of RS in LAIs-treated patients and emphasizes the need for further research into its mechanisms and optimal management strategies. Additionally, an updated review of RS associated with newer generation antipsychotics is provided to enhance understanding and clinical management.

Rabbit syndrome (RS), characterized by fine, rapid, rhythmic movements along the mouth’s vertical axis, is typically linked to prolonged antipsychotic medication use. Emerging evidence suggests newer antipsychotics’ involvement in RS, prompting investigation into its association with long-acting injectable antipsychotics (LAIs) for schizophrenia or bipolar disorder. We report a case of RS observed in a patient diagnosed with bipolar I disorder and treated with Abilify Maintena, highlighting the importance of vigilance in monitoring adverse effects. The patient, a 53-year-old male, experienced persistent manic episodes despite prior treatments. Upon initiation of Abilify Maintena 400 mg, RS symptoms manifested seven months later, remaining resistant to medication adjustments. This case emphasizes the significance of RS in LAIs-treated patients and emphasizes the need for further research into its mechanisms and optimal management strategies. Additionally, an updated review of RS associated with newer generation antipsychotics is provided to enhance understanding and clinical management.

Rabbit syndrome (RS), characterized by fine, rapid, rhythmic movements along the mouth’s vertical axis, is typically linked to prolonged antipsychotic medication use. Emerging evidence suggests newer antipsychotics’ involvement in RS, prompting investigation into its association with long-acting injectable antipsychotics (LAIs) for schizophrenia or bipolar disorder. We report a case of RS observed in a patient diagnosed with bipolar I disorder and treated with Abilify Maintena, highlighting the importance of vigilance in monitoring adverse effects. The patient, a 53-year-old male, experienced persistent manic episodes despite prior treatments. Upon initiation of Abilify Maintena 400 mg, RS symptoms manifested seven months later, remaining resistant to medication adjustments. This case emphasizes the significance of RS in LAIs-treated patients and emphasizes the need for further research into its mechanisms and optimal management strategies. Additionally, an updated review of RS associated with newer generation antipsychotics is provided to enhance understanding and clinical management.

Rabbit syndrome (RS), characterized by fine, rapid, rhythmic movements along the mouth’s vertical axis, is typically linked to prolonged antipsychotic medication use. Emerging evidence suggests newer antipsychotics’ involvement in RS, prompting investigation into its association with long-acting injectable antipsychotics (LAIs) for schizophrenia or bipolar disorder. We report a case of RS observed in a patient diagnosed with bipolar I disorder and treated with Abilify Maintena, highlighting the importance of vigilance in monitoring adverse effects. The patient, a 53-year-old male, experienced persistent manic episodes despite prior treatments. Upon initiation of Abilify Maintena 400 mg, RS symptoms manifested seven months later, remaining resistant to medication adjustments. This case emphasizes the significance of RS in LAIs-treated patients and emphasizes the need for further research into its mechanisms and optimal management strategies. Additionally, an updated review of RS associated with newer generation antipsychotics is provided to enhance understanding and clinical management.

Type Ⅵ secretion system(T6SS)is a lethal weapon that releases effectors in direct contact to kill eukaryotic predators or prokaryotic competitors.T6SS is of great significance in bacterial environmental adaptability,pathogenicity,and gene horizontal transfer.T6SS has been identified in about 25％of Gram-negative bacteria.Because of its widespread existence,T6SS is considered the key factor of ecological competition.T6SS effectors exerting biological functions have high diversity and do not have conserved sequences,and the regulatory mechanisms involved are complex.Therefore,it is a hot and difficult topic in T6SS research.Vibrio fluvialis(V.fluvialis)as a newly emerging foodborne pathogen,has unique characteristics in the quantity,composition,and physiological function of T6SS,which is related to its wide environmental adaptability and pathoge-nicity.This article mainly reviews the research progress of V.fluvialis T6SS,including its composition,structure,functional activity,and regulatory mechanism.

Objective:To construct and validate the best predictive model for 28-day death risk in patients with septic shock based on different supervised machine learning algorithms.Methods:The patients with septic shock meeting the Sepsis-3 criteria were selected from Medical Information Mart for Intensive Care-Ⅳ v2.0 (MIMIC-Ⅳ v2.0). According to the principle of random allocation, 70% of these patients were used as the training set, and 30% as the validation set. Relevant predictive variables were extracted from three aspects: demographic characteristics and basic vital signs, serum indicators within 24 hours of intensive care unit (ICU) admission and complications possibly affecting indicators, functional scoring and advanced life support. The predictive efficacy of models constructed using five mainstream machine learning algorithms including decision tree classification and regression tree (CART), random forest (RF), support vector machine (SVM), linear regression (LR), and super learner [SL; combined CART, RF and extreme gradient boosting (XGBoost)] for 28-day death in patients with septic shock was compared, and the best algorithm model was selected. The optimal predictive variables were determined by intersecting the results from LASSO regression, RF, and XGBoost algorithms, and a predictive model was constructed. The predictive efficacy of the model was validated by drawing receiver operator characteristic curve (ROC curve), the accuracy of the model was assessed using calibration curves, and the practicality of the model was verified through decision curve analysis (DCA).Results:A total of 3?295 patients with septic shock were included, with 2?164 surviving and 1?131 dying within 28 days, resulting in a mortality of 34.32%. Of these, 2?307 were in the training set (with 792 deaths within 28 days, a mortality of 34.33%), and 988 in the validation set (with 339 deaths within 28 days, a mortality of 34.31%). Five machine learning models were established based on the training set data. After including variables at three aspects, the area under the ROC curve (AUC) of RF, SVM, and LR machine learning algorithm models for predicting 28-day death in septic shock patients in the validation set was 0.823 [95% confidence interval (95% CI) was 0.795-0.849], 0.823 (95% CI was 0.796-0.849), and 0.810 (95% CI was 0.782-0.838), respectively, which were higher than that of the CART algorithm model (AUC = 0.750, 95% CI was 0.717-0.782) and SL algorithm model (AUC = 0.756, 95% CI was 0.724-0.789). Thus above three algorithm models were determined to be the best algorithm models. After integrating variables from three aspects, 16 optimal predictive variables were identified through intersection by LASSO regression, RF, and XGBoost algorithms, including the highest pH value, the highest albumin (Alb), the highest body temperature, the lowest lactic acid (Lac), the highest Lac, the highest serum creatinine (SCr), the highest Ca 2+, the lowest hemoglobin (Hb), the lowest white blood cell count (WBC), age, simplified acute physiology score Ⅲ (SAPSⅢ), the highest WBC, acute physiology score Ⅲ (APSⅢ), the lowest Na +, body mass index (BMI), and the shortest activated partial thromboplastin time (APTT) within 24 hours of ICU admission. ROC curve analysis showed that the Logistic regression model constructed with above 16 optimal predictive variables was the best predictive model, with an AUC of 0.806 (95% CI was 0.778-0.835) in the validation set. The calibration curve and DCA curve showed that this model had high accuracy and the highest net benefit could reach 0.3, which was significantly outperforming traditional models based on single functional score [APSⅢ score, SAPSⅢ score, and sequential organ failure assessment (SOFA) score] with AUC (95% CI) of 0.746 (0.715-0.778), 0.765 (0.734-0.796), and 0.625 (0.589-0.661), respectively. Conclusions:The Logistic regression model, constructed using 16 optimal predictive variables including pH value, Alb, body temperature, Lac, SCr, Ca 2+, Hb, WBC, SAPSⅢ score, APSⅢ score, Na +, BMI, and APTT, is identified as the best predictive model for the 28-day death risk in patients with septic shock. Its performance is stable, with high discriminative ability and accuracy.

Objective:To delineate the clinical characteristics and outcomes associated with severe cardiac toxicity during the preconditioning phase of allogeneic hematopoietic stem cell transplantation (allo-HSCT) in patients with aplastic anemia (AA).Methods:This retrospective case series study included 31 patients with severe AA who underwent allo-HSCT and were diagnosed with severe cardiac toxicity at the Hematology Department of Peking University People′s Hospital from August 2012 to June 2022. The clinical manifestations of severe cardiac toxicity observed during the preconditioning process were assessed. Patient survival was assessed using the Kaplan-Meier method.Results:In this cohort of 31 patients, the median follow-up period was 9 days (range: 4-365 days). Severe cardiac toxicity manifested within 6 days after the initial cyclophosphamide (Cy) administration. Twenty patients died within 30 days of initiating Cy preconditioning, of which 16 patients died due to severe cardiac toxicity within 25 days. Patients whose cardiac function improved within 30 days post-preconditioning showed a median survival duration of 222 days ( n=11). Troponin I (TNI) levels in patients who died within 30 days of initiating Cy preconditioning began increasing on day 5 post-Cy, peaking sharply by day 9 after a notable rise on day 8. B-type natriuretic peptide (BNP) levels in patients who died within 30 days of initiating Cy preconditioning started to rise from day 1, stabilized between days 2 and 5, and then doubled daily from days 6 to 8, remaining elevated thereafter. Notably, the initial increases in BNP and TNI correlated with electrocardiogram (ECG) signs of low voltage and T-wave inversion in 83.87% of cases ( n=26). Most patients ( n=28, 90.32%) were administered corticosteroid therapy. In those with restored cardiac function, the ejection fraction returned to >50% within 30 days of initiating Cy preconditioning. Conclusions:Patients with severe cardiac toxicity during the preconditioning phase of allo-HSCT typically exhibit early, sustained, and marked elevations in myocardial damage markers, including BNP and TNI, accompanied by ECG abnormalities following Cy administration, with BNP often increasing first. These indicators are associated with rapid disease progression and high mortality. Prompt initiation of treatment upon clinical diagnosis is critical for improving survival outcomes.

Objective:To investigate the knowledge of Sixth Chinese national consensus report on the management of Helicobacter pylori infection ( treatment excluded) (hereinafter referred to as sixth national consensus) and 2022 Chinese national clinical practice guideline on Helicobacter pylori eradication treatment (hereinafter referred to as the guideline)among medical staff from general hospitals in Hainan. Methods:From February 20 to May 7, 2023, a questionnaire survey on the diagnosis and treatment of Helicobacter pylori ( H. pylori) infection was conducted among 1 463 medical staff from 15 general hospitals in Hainan Province. The questionnaire was drawn up according to the sixth national consensus and the guideline, covering knowledge of 6 sections, induding H. pylori related diseases, detection of H. pylori, eradication, prevention and influence factors of eradication of H. pylori, etc. Chi-square test was used for statistical analysis. Results:A total of 1 463 valid questionnaires were collected with the effective responsive rate of 100.00%.The 1 463 subjects included 225 gastroenterologists and 1 238 other medical staff(including 503 physicians from other departments, 264 surgeons and 471 medical technologists and pharmacists). About 78.67%(177/225)of gastroenterologists agreed that the overall infection rate of H. pylori in China was more than 20%, the awareness rate was higher than that of other medical staff (physicians from other departments 65.41%(329/503), surgeons 61.74%(163/264), medical technologists and pharmacists 60.30%(284/471); the following datas were sorted by this position), and the difference was statistically significant ( χ2=30.97, P<0.001). About 51.11%(115/225) of gastroenterologists considered that H. pylori serological antibody test could not be used as a diagnostic method for current infection, the awareness rate was higher than that of other medical staff(22.07%(111/503), 14.02%(37/264), 12.31%(58/471)), and the difference was statistically significant( χ2 =152.66, P<0.001). Proton pump inhibitor and potassium-competitive acid blocker should be discontinued for 2 weeks, and antibiotics and bismuth should be discontinued for 4 weeks before urea breath test, and the awareness rates of gastroenterologists were higher than those of other medical staff (38.67%(87/225) vs. 23.26%(117/503), 19.70%(52/264), 18.47%(87/471); 60.89%(137/225) vs. 26.64%(134/503), 25.76%(68/264), 23.78%(112/471)), and the differences were statistically significant ( χ2 =133.70 and 165.51, both P<0.001). For refractory H. pylori infection, 98.67%(222/225)of gastroenterologists agreed with the individualized diagnosis and treatment of H. pylori infection should be guided by bacterial culture, antibiotic susceptibility test or drug resistance gene test, and the awareness rate was higher than that of other medical staff (91.85%(462/503), 93.56%(247/264), 93.21%(439/471)), and the difference was statistically significant( χ2=20.55, P=0.002). About 70.67% (159/225) of gastroenterologists recommended a bismuth containing quadruple regimen, 80.44% (181/225) supported a 10 to 14 day H. pylori eradication course, and the awareness rates were higher than other medical staff (46.92%(236/503), 33.33%(88/264), 32.91%(155/471); 67.20%(338/503), 59.09%(156/264), 53.93%(254/471)), and the differences were statistically significant ( χ2=111.25 and 59.99, both P<0.001). The understanding rates of the sixth national consensus and the guideline in gastroenterologists was 85.33% (192/225), which was higher than that of other medical staff (64.21%(323/503), 66.67%(176/264), 57.96%(273/471)), and the difference was statistically significant ( χ2=85.47, P<0.001). Conclusions:Gastroenterologists from general hospitals in Hainan Province have a better understanding of the sixth national consensus and the guideline than other medical staff. However, there is still a lack of deep understanding of the sixth national consensus and the guideline, and it is necessary to further strengthen the learning and application of the sixth national consensus and the guideline.

Objective To observe the value of artificial intelligence(AI)knowledge graph and image classification for quality control(QC)of chest posterior-anterior position X-ray radiograph(abbreviated as chest film).Methods Totally 9 236 chest films from 595 medical institutions in Anhui province imaging cloud platform were retrospectively enrolled.QC knowledge graph containing 21 classification labels were constructed.Firstly,QC of chest films based on the above knowledge graph were performed by 10 technicians for 2 rounds of single person and 1 round of multi person,and the results were recorded as A,B and C,respectively.Then AI algorithms were used to classify and evaluate based on knowledge graph,and the result was recorded as D.Finally,a QC expert reviewed results C and D to determine the final QC results and taken those as references to analyze the efficiency of the above 4 QC.Results The area under the curve(AUC)of AI algorithm for QC of chest films were all ≥0.780,with an average value of 0.939.The average precision of QC for chest films of A,B,C and D was 81.15％,85.47％,91.65％and 92.21％,respectively.Conclusion AI knowledge graph and image classification technology could be effectively used for QC of chest posterior-anterior position X-ray radiograph.

Patients with severe trauma require an extremely timely treatment and transfusion plays an irreplaceable role in the emergency treatment of such patients. An increasing number of evidence-based medicinal evidences and clinical practices suggest that patients with severe traumatic bleeding benefit from early transfusion of low-titer group O whole blood or hemostatic resuscitation with red blood cells, plasma and platelet of a balanced ratio. However, the current domestic mode of blood supply cannot fully meet the requirements of timely and effective blood transfusion for emergency treatment of patients with severe trauma in clinical practice. In order to solve the key problems in blood supply and blood transfusion strategies for emergency treatment of severe trauma, Branch of Clinical Transfusion Medicine of Chinese Medical Association, Group for Trauma Emergency Care and Multiple Injuries of Trauma Branch of Chinese Medical Association, Young Scholar Group of Disaster Medicine Branch of Chinese Medical Association organized domestic experts of blood transfusion medicine and trauma treatment to jointly formulate Chinese expert consensus on blood support mode and blood transfusion strategies for emergency treatment of severe trauma patients ( version 2024). Based on the evidence-based medical evidence and Delphi method of expert consultation and voting, 10 recommendations were put forward from two aspects of blood support mode and transfusion strategies, aiming to provide a reference for transfusion resuscitation in the emergency treatment of severe trauma and further improve the success rate of treatment of patients with severe trauma.