Objective To develop and validate a predictive model for early cognitive dysfunction in ischaemic stroke.Methods A total of 327 ischaemic stroke patients seen in our hospital from March 2021 to September 2023 were selected for the study.The patients were divided into 229 cases in the model group and 98 cases in the validation group in a ratio of 7∶3.The general conditions,disease-related factors and laboratory indicators of the two groups were compared,and a multifactorial Logistic regression was performed after screening potential variables by LASSO regression,and a nomograms model was established and validated.Results In the model group,229 patients had a Montreal Cognitive Assessment(MoCA)score of 19-30,and the mean score was(26.08±3.11)at 3 months after discharge,of which a total of 62(27.07％)had cognitive dysfunction.The differences between the cognitive dysfunction group and the normal group of patients in terms of age,smoking history,hypertension disease,diabetes,atrial fibrillation,coronary artery disease,NIHSS,infarct area,admission MoCA score,cerebral leukoaraiosis,cerebral atrophy,plasma cystatin C,C-reactive protein,and serum amyloid A were all statistically significant(all P＜0.05).The results of multifactorial Logistic regression analysis performed on the basis of LASSO regression showed that hypertension disease(OR=2.79,95％CI:1.03-7.59),diabetes mellitus(OR=3.51,95％CI:1.39-8.84),atrial fibrillation(OR=4.68,95％CI:1.41-15.50),NIHSS(OR=1.07,95％CI:1.03-1.11),cerebral leukoaraiosis(OR=5.82,95％CI:2.46-13.78),plasma cystatin(OR=1.12,95％CI:1.05-1.19)and serum amyloid A(OR=1.11,95％CI:1.07-1.16)were independent influences on cognitive dysfunction in early stage of ischemic stroke(all P＜0.05).The results of model validation showed the following:differentiation:the area under the ROC curve in the model group was 0.884(95％CI:0.832-0.935);the area under the ROC curve in the validation group was 0.822(95％CI:0.761-0.884).Accuracy:the slopes of the calibration curves of the model group and the validation group were 1,the intercept was 0.000,the model curve was basically fitted to the ideal model as a diagonal line,and the H-L fit goodness-of-fit test was performed(P＞0.05).The results of the clinical validity analysis showed the highest net benefit in predicting early cognitive dysfunction in ischaemic stroke using this study's model when the predictive probability threshold was 0.15-1.00.Conclusion Early cognitive dysfunction in ischaemic stroke is influenced by hypertension disease,diabetes mellitus,atrial fibrillation,and the column-line diagram model developed in this study can be used to predict early cognitive dysfunction in ischaemic stroke.

In August 2024,the European Society of Cardiology Working Group on the management of Peripheral Artery and Aortic disease issued the"Guidelines for the management of peripheral and aortic arterial disease".The guideline stated that peripheral artery and aortic diseases were very common,significantly increasing cardiovascular disease morbidity and mortality in the general population,and their prevention and treatment strategies needed to be strengthened.This article interpreted the content of antithrombotic drug therapy in the guideline from the perspective of drug therapy,which could provide a reference for clinicians and pharmacists to formulate antithrombotic strategies.

In August 2024,the European Society of Cardiology Working Group on the management of Peripheral Artery and Aortic disease issued the"Guidelines for the management of peripheral and aortic arterial disease".The guideline stated that peripheral artery and aortic diseases were very common,significantly increasing cardiovascular disease morbidity and mortality in the general population,and their prevention and treatment strategies needed to be strengthened.This article interpreted the content of antithrombotic drug therapy in the guideline from the perspective of drug therapy,which could provide a reference for clinicians and pharmacists to formulate antithrombotic strategies.

Objective To develop and validate a predictive model for early cognitive dysfunction in ischaemic stroke.Methods A total of 327 ischaemic stroke patients seen in our hospital from March 2021 to September 2023 were selected for the study.The patients were divided into 229 cases in the model group and 98 cases in the validation group in a ratio of 7∶3.The general conditions,disease-related factors and laboratory indicators of the two groups were compared,and a multifactorial Logistic regression was performed after screening potential variables by LASSO regression,and a nomograms model was established and validated.Results In the model group,229 patients had a Montreal Cognitive Assessment(MoCA)score of 19-30,and the mean score was(26.08±3.11)at 3 months after discharge,of which a total of 62(27.07％)had cognitive dysfunction.The differences between the cognitive dysfunction group and the normal group of patients in terms of age,smoking history,hypertension disease,diabetes,atrial fibrillation,coronary artery disease,NIHSS,infarct area,admission MoCA score,cerebral leukoaraiosis,cerebral atrophy,plasma cystatin C,C-reactive protein,and serum amyloid A were all statistically significant(all P＜0.05).The results of multifactorial Logistic regression analysis performed on the basis of LASSO regression showed that hypertension disease(OR=2.79,95％CI:1.03-7.59),diabetes mellitus(OR=3.51,95％CI:1.39-8.84),atrial fibrillation(OR=4.68,95％CI:1.41-15.50),NIHSS(OR=1.07,95％CI:1.03-1.11),cerebral leukoaraiosis(OR=5.82,95％CI:2.46-13.78),plasma cystatin(OR=1.12,95％CI:1.05-1.19)and serum amyloid A(OR=1.11,95％CI:1.07-1.16)were independent influences on cognitive dysfunction in early stage of ischemic stroke(all P＜0.05).The results of model validation showed the following:differentiation:the area under the ROC curve in the model group was 0.884(95％CI:0.832-0.935);the area under the ROC curve in the validation group was 0.822(95％CI:0.761-0.884).Accuracy:the slopes of the calibration curves of the model group and the validation group were 1,the intercept was 0.000,the model curve was basically fitted to the ideal model as a diagonal line,and the H-L fit goodness-of-fit test was performed(P＞0.05).The results of the clinical validity analysis showed the highest net benefit in predicting early cognitive dysfunction in ischaemic stroke using this study's model when the predictive probability threshold was 0.15-1.00.Conclusion Early cognitive dysfunction in ischaemic stroke is influenced by hypertension disease,diabetes mellitus,atrial fibrillation,and the column-line diagram model developed in this study can be used to predict early cognitive dysfunction in ischaemic stroke.

Objective    To explore the relationship between obstructive sleep apnea-hypopnea syndrome (OSAHS) and aortic dissection (AD). Methods    Fifty three patients with AD diagnosed by CTA in our hospital from January 2016 to January 2018 were selected. All the patients with AD were scored by the STOP-BANG questionnaire. The patients who scored more than or equal to 3 received polysomnography (PSG) after surgical or conservative treatment, and according to whether the sleep apnea-hypopnea index was higher than or equal to 5. Fifty-three patients were divided into an OSAHS group and a non OSAHS group. Results    There were 18 patients with 17 males and 1 female at average age of 43.3±8.4 years in the OSAHS group, and 35 patients with 23 males and 12 females at average age of 56.6±12.9 years in the non OSAHS group. There was no statistical difference between the two groups in the Stanford classification of aortic dissection, the time of onset, personal history, the history of diabetes, coronary heart disease and hyperlipidemia, or post-treatment systolic/diastolic blood pressure before sleep (P>0.05). The age of patients in the OSAHS group was significantly less than that in the non OSAHS group (P<0.01), the proportion of men/women (P=0.021), weight (P<0.01), height (P=0.028), body mass index (P<0.01), and post-treatment systolic/diastolic blood pressure after waking up (P=0.028,P=0.044) in the OSAHS group were significantly higher than those in the non OSAHS group. In the OSAHS group, the proportion of previous hypertension was significantly higher than that in the non OSAHS group (P=0.042).   Conclusion    AD patients combined with OSAHS are mostly male patients. The number of young and high-fat people is significantly more than that in the non OSAHS group. OSAHS may be one of the risk factors for young, high-fat men with AD.

OBJECTIVE: To discuss the therapy of aggressive fibromatosis of head and neck in children. METHOD: Three cases of aggressive fibromatosis of head and neck were analyzed retrospectively. RESULT: Total tumor removal was achieved in all cases and the diagnosis was confirmed pathologically. No recurrence was found during follow-up. CONCLUSION Aggressive fibromatosis is a rare, benign but locally infiltrative condition. Complete surgical removal was a chief treatment. But it was sometimes impossible in the head and neck area because of associated growth problems. Cosmic problems and facial deformity were the main obstacles of surgery.
Child ; Female ; Fibromatosis, Aggressive ; surgery ; therapy ; Head and Neck Neoplasms ; surgery ; therapy ; Humans ; Infant ; Male ; Retrospective Studies