Objective To investigate the association between obstructive sleep apnea hypopnea syndrome （OSAHS） and white matter lesions （WMLs）. Methods A total of 91 patients who attended Department of Neurology and Department of Epilepsy and Sleep Disorders in The Second Affiliated Hospital of Harbin Medical University from June 2019 to December 2020 and met the diagnostic criteria for WMLs were enrolled as WMLs group， and 61 patients without WMLs were enrolled as control group. All subjects underwent brain MRI and PSG examinations， and related data were collected， including demographic data， past history， personal history， laboratory examination， and imaging findings. Results The WMLs group had a prevalence rate of OSAHS of 92.3% and an AHI of （32.85±19.86） events/hour on PSG， which were significantly higher than those in the control group （P<0.05）. The Spearman rank correlation analysis showed a strong positive correlation between WMLs severity and OSAHS severity（r=0.602 52，P<0.0001）. Conclusion The WMLs group is more susceptible to OSAHS than the control group， and the severity of WMLs is positively correlated with the severity of OSAHS.

This case report summarized the resuscitation and nursing care of a patient who experienced sudden syncope due to central venous catheter(CVC)removal distress syndrome following coronary artery bypass grafting.Nursing key points:rapidly recognize the patient's CVC removal distress syndrome;continuously monitor circulatory and respiratory functions,maintain circulatory stability,and ensure airway patency;Implement a multi-modal treatment strategy for neurological protection to improve neurological outcomes;Initiate early rehabilitation therapy to promote limb function recovery;Prevent CVC removal distress syndrome.Following emergency rescue and meticulous nursing care,the patient was discharged,on the 34th hospital day with recovery.

This case report summarized the resuscitation and nursing care of a patient who experienced sudden syncope due to central venous catheter(CVC)removal distress syndrome following coronary artery bypass grafting.Nursing key points:rapidly recognize the patient's CVC removal distress syndrome;continuously monitor circulatory and respiratory functions,maintain circulatory stability,and ensure airway patency;Implement a multi-modal treatment strategy for neurological protection to improve neurological outcomes;Initiate early rehabilitation therapy to promote limb function recovery;Prevent CVC removal distress syndrome.Following emergency rescue and meticulous nursing care,the patient was discharged,on the 34th hospital day with recovery.

With the intensification of population aging in our country, stroke incidence is increasing year by year, and most patients leave behind varying degrees of sequelae; and motor function disorder is one of the common sequelae, which seriously affects the quality of life of patients. Motor function rehabilitations have become indispensable treatments for stroke patients. Accurately and objectively assessing the performance of motor function trehabilitations in stroke patients will help to formulate more reasonable rehabilitation plans. This article reviews the existing rehabilitation assessment techniques and their advantages and disadvantages, aiming to provide guidance for the assessment of motor function rehabilitations in stroke patients and lay a foundation for future development of stroke rehabilitations.

Objective:To investigate the value of coronary CTA (CCTA)-based traditional features and radiomics of plaque in the identification of culprit lesions that caused acute myocardial infarction (AMI).Methods:This was a retrospective multicenter study. From July 2016 to November 2023, a total of 344 patients from the Affiliated Hospital of Qingdao University (training cohort, n=184), Shandong Provincial Hospital Affiliated to Shandong First Medical University (validation cohort, n=88) and Qilu Hospital of Shandong University (test cohort, n=72) who received percutaneous coronary intervention (PCI) due to AMI and underwent CCTA within 48 hours of AMI were enrolled. The culprit plaques and non-culprit plaques were identified using a combination of electrocardiogram, CCTA, and angiographic findings. The vessel, plaque location, plaque type, Coronary Artery Disease-Reporting and Data System (CAD-RADS) score, high-risk plaque characteristics, plaque length, plaque volume, and burden were analyzed, and 1 904 radiomics features were extracted for each plaque. The traditional imaging model, the radiomics model, and the combined model were established by using multivariate Logistic regression analysis. The area under the receiver operating characteristic curve (AUC) was used to evaluate the performance of each model in identifying culprit lesions. The DeLong test was used for the comparison of AUC between every two models. The net reclassification index (NRI) was used to evaluate the incremental value of the combined model to the traditional imaging model and the radiomics model. The decision curve analysis (DCA) was used to assess the clinical net benefit of these models. A correlation heatmap was used to evaluate the correlation between the radiomics score and traditional CCTA factors. The interpretable analysis of the decision process of the combined model was performed by the Shapley Additive exPlanations (SHAP). Results:In the validation cohort and the test cohort, the AUC of the traditional imaging model developed by the vessel, plaque type, positive remodeling and CAD-RADS score was 0.898 (95% CI 0.869-0.922) and 0.881 (95% CI 0.848-0.910), respectively. The radiomics model developed by six radiomics features was 0.863 (95% CI 0.831-0.891) and 0.863 (95% CI 0.827-0.864), respectively. The AUC of the combined model was 0.930 (95% CI 0.905-0.950)and 0.919 (95% CI 0.889-0.942), respectively. In the validation cohort and the test cohort, the AUC of the combined model was higher than that of the traditional imaging model ( Z=4.013, 4.272, P<0.001) and that of the radiomics model ( Z=4.819, 3.784, P<0.001), respectively. In the validation cohort, the combined model yielded an NRI of 20.43% (95% CI 10.43%-30.44%, P<0.001) and 20.21% (95% CI 9.62%-30.80%, P<0.001) for identifying culprit lesions compared with the traditional imaging model and the radiomics model, respectively. In the test cohort, the combined model yielded an NRI of 28.05% (95% CI 16.72%-39.38%, P<0.001) and 23.57% (95% CI 13.58%-33.56%, P<0.001) for identifying culprit lesions compared with the traditional imaging model and the radiomics model, respectively. DCA showed the combined model had the highest clinical net benefit. The correlation heatmap showed the radiomics score was not correlated or only weakly correlated with traditional CCTA factors. SHAP indicated the radiomics and CAD-RADS score contributed significantly to the model. Conclusion:The CCTA-based traditional features and radiomics of plaque have favorable performance for the identification of culprit plaques in patients with AMI.

Objective:To investigate the value of coronary CTA (CCTA)-based traditional features and radiomics of plaque in the identification of culprit lesions that caused acute myocardial infarction (AMI).Methods:This was a retrospective multicenter study. From July 2016 to November 2023, a total of 344 patients from the Affiliated Hospital of Qingdao University (training cohort, n=184), Shandong Provincial Hospital Affiliated to Shandong First Medical University (validation cohort, n=88) and Qilu Hospital of Shandong University (test cohort, n=72) who received percutaneous coronary intervention (PCI) due to AMI and underwent CCTA within 48 hours of AMI were enrolled. The culprit plaques and non-culprit plaques were identified using a combination of electrocardiogram, CCTA, and angiographic findings. The vessel, plaque location, plaque type, Coronary Artery Disease-Reporting and Data System (CAD-RADS) score, high-risk plaque characteristics, plaque length, plaque volume, and burden were analyzed, and 1 904 radiomics features were extracted for each plaque. The traditional imaging model, the radiomics model, and the combined model were established by using multivariate Logistic regression analysis. The area under the receiver operating characteristic curve (AUC) was used to evaluate the performance of each model in identifying culprit lesions. The DeLong test was used for the comparison of AUC between every two models. The net reclassification index (NRI) was used to evaluate the incremental value of the combined model to the traditional imaging model and the radiomics model. The decision curve analysis (DCA) was used to assess the clinical net benefit of these models. A correlation heatmap was used to evaluate the correlation between the radiomics score and traditional CCTA factors. The interpretable analysis of the decision process of the combined model was performed by the Shapley Additive exPlanations (SHAP). Results:In the validation cohort and the test cohort, the AUC of the traditional imaging model developed by the vessel, plaque type, positive remodeling and CAD-RADS score was 0.898 (95% CI 0.869-0.922) and 0.881 (95% CI 0.848-0.910), respectively. The radiomics model developed by six radiomics features was 0.863 (95% CI 0.831-0.891) and 0.863 (95% CI 0.827-0.864), respectively. The AUC of the combined model was 0.930 (95% CI 0.905-0.950)and 0.919 (95% CI 0.889-0.942), respectively. In the validation cohort and the test cohort, the AUC of the combined model was higher than that of the traditional imaging model ( Z=4.013, 4.272, P<0.001) and that of the radiomics model ( Z=4.819, 3.784, P<0.001), respectively. In the validation cohort, the combined model yielded an NRI of 20.43% (95% CI 10.43%-30.44%, P<0.001) and 20.21% (95% CI 9.62%-30.80%, P<0.001) for identifying culprit lesions compared with the traditional imaging model and the radiomics model, respectively. In the test cohort, the combined model yielded an NRI of 28.05% (95% CI 16.72%-39.38%, P<0.001) and 23.57% (95% CI 13.58%-33.56%, P<0.001) for identifying culprit lesions compared with the traditional imaging model and the radiomics model, respectively. DCA showed the combined model had the highest clinical net benefit. The correlation heatmap showed the radiomics score was not correlated or only weakly correlated with traditional CCTA factors. SHAP indicated the radiomics and CAD-RADS score contributed significantly to the model. Conclusion:The CCTA-based traditional features and radiomics of plaque have favorable performance for the identification of culprit plaques in patients with AMI.

With the intensification of population aging in our country, stroke incidence is increasing year by year, and most patients leave behind varying degrees of sequelae; and motor function disorder is one of the common sequelae, which seriously affects the quality of life of patients. Motor function rehabilitations have become indispensable treatments for stroke patients. Accurately and objectively assessing the performance of motor function trehabilitations in stroke patients will help to formulate more reasonable rehabilitation plans. This article reviews the existing rehabilitation assessment techniques and their advantages and disadvantages, aiming to provide guidance for the assessment of motor function rehabilitations in stroke patients and lay a foundation for future development of stroke rehabilitations.

ObjectiveTo investigate the efficacy of percutaneous transhepatic variceal embolization （PTVE） alone or in combination with partial splenic embolization （PSE） in the treatment of portal hypertensive hemorrhage in liver cirrhosis through a meta-analysis. MethodsThis study was conducted according to PRISMA guideline， with a PROSPERO registration number of CRD42023396690. Wanfang Med Online， CNKI， CBM， VIP Databases， PubMed， Embase， the Cochrane Library， and Web of Science databases were searched for articles on PTVE alone or in combination with PSE in the treatment of portal hypertensive hemorrhage in liver cirrhosis published up to December 23， 2022. The articles were selected based on inclusion and exclusion criteria， and related data were extracted. The RevMan 5.4.1 statistical analysis software was used to perform the meta-analysis. ResultsEight articles were finally included， with a total sample size of 592 cases， among which there were 316 cases in the PTVE+PSE group and 276 cases in the PTVE group. The meta-analysis showed that compared with the PTVE group， the PTVE+PSE group had significantly lower postoperative portal vein pressure （standardized mean difference ［SMD］=-1.75， 95% confidence interval ［CI］： -2.33 to -1.16， P<0.05）， postoperative diameter of the portal vein （SMD=-0.87， 95%CI： -1.64 to -0.10， P<0.05）， postoperative rebleeding rate （odds ratio ［OR］=0.17， 95%CI： 0.11 — 0.28， P<0.05）， mortality rate （OR=0.13， 95%CI： 0.04 — 0.37， P<0.05）， and incidence rate of postoperative portal hypertensive gastrointestinal disease （OR=0.17， 95%CI： 0.07 — 0.45， P<0.05］， as well as a significantly higher postoperative platelet level （SMD=0.79， 95%CI： 0.52 — 1.06， P<0.05）， while there were no significant differences between the two groups in the incidence rates of postoperative ascites. ConclusionCompared with PTVE alone， PTVE combined with PSE can effectively reduce the rebleeding rate and mortality rate of portal hypertensive hemorrhage in liver cirrhosis， the incidence rate of portal hypertensive gastrointestinal disease， and portal vein pressure， and it can also shorten the diameter of the portal vein and increase platelet level. Therefore， it is an effective interventional method for the treatment of portal hypertension hemorrhage in liver cirrhosis.

Objective:To investigate the predictive value of heparin binding protein(HBP) combined with pediatric sequential organ failure assessment(pSOFA) in children with sepsis.Methods:Children with sepsis admitted to PICU of Hunan Provincial People's Hospital (the First Affiliated Hospital of Hunan Normal University) from January 2021 to June 2022 were selected as study group,while those who underwent elective surgery for inguinal hernia and assessment of precocious puberty and short stature during the same period were selected as control group.All children with sepsis were divided into sepsis group and septic shock group according to their severity as well as survival group and death group according to prognosis.The study group was monitored for HBP on the 1st,3rd,and 7th day of admission,while the control group was monitored for HBP on the 1st day of admission.Patients in the sepsis group received pSOFA scores immediately after admission.The laboratory results and HBP concentrations were compared between groups，and a joint model was established in combination with pSOFA to observe its predictive performance in sepsis prognosis.Results:A total of 50 children with sepsis were included in study group，including 45 children with sepsis and five children with septic shock.There were 27 males and 23 females，aged 1 month～13 years（median age two years）.There were 7 deaths in this study，including two patients with sepsis and five patients with septic shock.The HBP concentration in the study group was significantly higher than that in the control group on the 1st day，and the HBP concentration in the group gradually decreased with the prolongation of hospital stay.The concentration of HBP on the first day of septic shock group was higher than that of sepsis group，and the difference was statistically significant（ P<0.001）.The concentration of HBP on the 1st day in the sepsis death group was significantly higher than that in the sepsis survival group（ P=0.023）.The receivor operator characteristic curve analysis showed that HBP and pSOFA had good predictive value for the death of children with sepsis，and the joint model of HBP and pSOFA（75.1×pSOFA-0.1×HBP）had the best predictive performance for the death of children with sepsis，but there was no significant difference with the pSOFA. Conclusion:The HBP level significantly increases in children with sepsis，and gradually decreases with the length of hospital stay，and HBP has great value in predicting the outcome of death in children with sepsis，and the combination of pSOFA could improve its predictive ability of death,but not better than pSOFA.

Objectives To explore the expression, biological function, and mechanism of MKI67 in pancreatic cancer and its clinical significance. Methods The expression level, diagnosis, and prognostic value of MKI67 in pancreatic cancer were analyzed using public databases. We also investigated the association between the MKI67 with immune cell infiltration and immune checkpoint molecules. We analyzed the functional pathway enrichment to uncover the possible molecular mechanisms. qRT-PCR and Western blot assay were used to verify the expression of MKI67 mRNA and protein. Immunohistochemistry staining was used to detect the expression of MKI67 in tissue protein. Results The high expression of MKI67 was significantly associated with high histological grades and poor outcomes in pancreatic cancer. High MKI67 expression was correlated with poor prognosis of pancreatic cancer patients (P=0.009). MKI67 was an independent risk factor for the patient outcome (95%CI: 1.084-1.743, P<0.05). The MKI67 expression was positively correlated with the helper T cell 2 levels but negatively correlated with plasmacytoid DC, NK cells, mast cells, the T follicular helper, immune DC, and CD8 T cells. Conclusion MKI67 may serve as a biomarker for the diagnosis and prognosis of pancreatic cancer and the mechanism might be associated with immune escape or immunosuppression.