Objective:To investigate changes of choroid plexus volume in patients with essential hypertension using deep learning-based segmentation technique.Methods:According to the inclusion criteria,19 patients with essential hypertension who visited The 900th Hospital of People's Liberation Army Joint Service Support Force from December 2022 to May 2024 were divided into hypertension group.Additionally,19 healthy individuals,matched with the hypertension group in terms of gender,age,and years of education,were recruited as the healthy control group during the same period.All participants underwent data acquisition of three-dimensional T1(T1-3D)brain structural images using a Siemens 3.0T Trio magnetic resonance(MR)scanner.A pre-trained deep learning model,which based on the 3D U-Net architecture and generated by fully convolutional neural network,was employed for choroid plexus segmentation,and the total brain volume and lateral ventricle volume were calculated using the United Imaging Artificial Intelligence(AI)platform.Statistical analysis of the choroid plexus volume and other data for both groups were performed using SPSS27.0.Results:Compared with the healthy control group(1 866 mm3),the hypertensive group(2 047 mm3)showed an abnormal increase in choroid plexus volume(x2=3.900,P<0.05).Moreover,the choroid plexus volume was positively correlated with lateral ventricle volume and systolic blood pressure(r=0.849,P<0.05),and was negatively correlated with digit span(forward)in the hypertensive group(r=-0.374,P<0.05).Conclusion:The choroid plexus volume in patients with essential hypertension abnormally increased,which might be a factor promoting to changes in brain structure,it can affect further the cognitive function of patients with hypertension.

Obstructive sleep apnea(OSA)is a common sleep disorder characterized by repeated episodes of upper airway collapse and obstruction during sleep.Polysomnography is the gold standard for diagnosing OSA,but it is expensive,time-consuming,and can cause discomfort for patients.In recent years,acoustic-based approaches for detecting OSA have emerged as a research focus.This review summarizes recent advances in OSA automatic detection techniques based on snoring and speech signals,and systematically examines their applications in diagnosis,severity assessment,and localization of obstruction sites.Findings indicate that the acoustic features of snoring and speech signals hold significant value for OSA screening,and when combined with machine learning and deep learning models,it can achieve high diagnostic accuracy.Future research should focus on elucidating the relationship between acoustic features and the pathophysiological mechanisms of OSA,integrating multimodal information,and advancing the clinical application of wearable devices,with the aim of promoting intelligent,non-invasive,and cost-effective screening technologies for OSA.

Obstructive sleep apnea(OSA)is a common sleep disorder characterized by repeated episodes of upper airway collapse and obstruction during sleep.Polysomnography is the gold standard for diagnosing OSA,but it is expensive,time-consuming,and can cause discomfort for patients.In recent years,acoustic-based approaches for detecting OSA have emerged as a research focus.This review summarizes recent advances in OSA automatic detection techniques based on snoring and speech signals,and systematically examines their applications in diagnosis,severity assessment,and localization of obstruction sites.Findings indicate that the acoustic features of snoring and speech signals hold significant value for OSA screening,and when combined with machine learning and deep learning models,it can achieve high diagnostic accuracy.Future research should focus on elucidating the relationship between acoustic features and the pathophysiological mechanisms of OSA,integrating multimodal information,and advancing the clinical application of wearable devices,with the aim of promoting intelligent,non-invasive,and cost-effective screening technologies for OSA.

Objective:To investigate changes of choroid plexus volume in patients with essential hypertension using deep learning-based segmentation technique.Methods:According to the inclusion criteria,19 patients with essential hypertension who visited The 900th Hospital of People's Liberation Army Joint Service Support Force from December 2022 to May 2024 were divided into hypertension group.Additionally,19 healthy individuals,matched with the hypertension group in terms of gender,age,and years of education,were recruited as the healthy control group during the same period.All participants underwent data acquisition of three-dimensional T1(T1-3D)brain structural images using a Siemens 3.0T Trio magnetic resonance(MR)scanner.A pre-trained deep learning model,which based on the 3D U-Net architecture and generated by fully convolutional neural network,was employed for choroid plexus segmentation,and the total brain volume and lateral ventricle volume were calculated using the United Imaging Artificial Intelligence(AI)platform.Statistical analysis of the choroid plexus volume and other data for both groups were performed using SPSS27.0.Results:Compared with the healthy control group(1 866 mm3),the hypertensive group(2 047 mm3)showed an abnormal increase in choroid plexus volume(x2=3.900,P<0.05).Moreover,the choroid plexus volume was positively correlated with lateral ventricle volume and systolic blood pressure(r=0.849,P<0.05),and was negatively correlated with digit span(forward)in the hypertensive group(r=-0.374,P<0.05).Conclusion:The choroid plexus volume in patients with essential hypertension abnormally increased,which might be a factor promoting to changes in brain structure,it can affect further the cognitive function of patients with hypertension.

Depression is a common mental illness in adolescents, and some patients do not respond well after medication, which may be partly related to vitamin D deficiency and insufficient calcium intake. This paper reports a 15-year-old patient with depression, whose condition was still unstable and the effect was not good despite routine use of antidepressant drugs and psychological intervention. After adequate supplementation of vitamin D and calcium, the patient's depression improved significantly, and the follow-up for 4 months, the condition was stable and did not recur.

Objective:To predict the 3-year cancer-specific survival(CSS)of patients with non-meta-static T3a renal cell carcinoma after surgery.Methods:A total of 336 patients with pathologically con-firmed T3a N0-1M0 renal cell carcinoma(RCC)who underwent surgical treatment at the Department of Urology,Peking University Third Hospital from March 2013 to February 2021 were retrospectively collect-ed.The patients were randomly divided into a training cohort of 268 cases and an internal validation co-hort of 68 cases at an 4∶1 ratio.Using two-way Lasso regression,variables were selected to construct a nomogram for predicting the 3-year cancer-specific survival(CSS)of the patients with T3aN0-1M0 RCC.Performance assessment of the nomogram included evaluation of discrimination and calibration ability,as well as clinical utility using measures such as the concordance index(C-index),time-dependent area un-der the receiver operating characteristic curve[time-dependent area under the curve(AUC)],calibra-tion curve,and decision curve analysis(DCA).Risk stratification was determined based on the nomo-gram scores,and Kaplan-Meier survival analysis and Log-rank tests were employed to compare progres-sion-free survival(PFS)and cancer-specific survival(CSS)among the patients in the different risk groups.Results:Based on the Lasso regression screening results,the nomogram was constructed with five variables:tumor maximum diameter,histological grading,sarcomatoid differentiation,T3a feature,and lymph node metastasis.The baseline data of the training and validation sets showed no statistical differences(P＞0.05).The consistency indices of the column diagram were found to be 0.808(0.708-0.907)and 0.903(0.838-0.969)for the training and internal validation sets,respectively.The AUC values for 3-year cancer-specific survival were 0.843(0.725-0.961)and 0.923(0.844-1.002)for the two sets.Calibration curves of both sets demonstrated a high level of consistency between the actual CSS and predicted probability.The decision curve analysis(DCA)curves indicated that the column dia-gram had a favorable net benefit in clinical practice.A total of 336 patients were included in the study,with 35 cancer-specific deaths and 69 postoperative recurrences.According to the line chart,the patients were divided into low-risk group(scoring 0-117)and high-risk group(scoring 119-284).Within the low-risk group,there were 16 tumor-specific deaths out of 282 cases and 36 postoperative recurrences out of 282 cases.In the high-risk group,there were 19 tumor-specific deaths out of 54 cases and 33 post-operative recurrences out of 54 cases.There were significant differences in progression-free survival(PFS)and cancer-specific survival(CSS)between the low-risk and high-risk groups(P＜0.000 1).Conclusion:A nomogram model predicting the 3-year CSS of non-metastatic T3a renal cell carcinoma patients was successfully constructed and validated in this study.This nomogram can assist clinicians in accurately assessing the long-term prognosis of such patients.

Objective To evaluate the efficacy of different interventions to the extra cranial lesions in acute ischemic stroke(AIS)due to anterior tandem lesions(TL)on reperfusion.Methods As a multi-center,cross-sectional study,AIS due to anterior TL receiving mechanical thrombectomy(MT)were retrospectively collected.Interventions to the extra-cranial stenosis were recorded.Post-procedural reperfusion was assessed using the modified thrombolysis in cerebral infarction(mTICI)score.Complete revascularization was defined as mTICI 3 and good revascularization was defined as mTICI 2b/3.The relationship between different extra-cranial intervention regi-mens and rate of re-vascularization was compared.Results Totally 117 patients were included with 92.3% reaching good recanalization and 63.2% reaching complete re-canalization.There was no significant difference in good re-canalization rates among various extra-cranial intervention regimens.The rate of complete re-canalization was significantly higher in patients receiving endovascular therapy(P＜0.05)and there was significant difference among various endovascular treatment regimens(P＜0.01):acute balloon angioplasty only group presented the highest rate of complete re-canalization(100.0% ),followed by acute stenting only group(80% ),acute stenting+balloon angioplasty group(73.7% )and conservative treatment group(54.3% ).Conclusions Endovascular inter-vention to extra-cranial stenosis contributes to complete re-canalization in AIS due to anterior TL receiving MT,and acute balloon angioplasty seems to be quite effective than acute stenting.

Objective:To evaluate the clinical effect of the position pillows for neuraxial anesthesia.Methods:This was a prospective randomized controlled trial. Four hundred and twelve patients regardless of gender, aged ≥18 yr, of American Society of Anesthesiologists Physical Status classification Ⅰ-Ⅲ, who underwent elective surgery under neuraxial anesthesia at Peking University Third Hospital from February to October 2023, were selected and divided into 2 groups ( n=206 each) using a random number table method: pillow group (P group) and control group (C group). Group C underwent the conventional procedure for neuraxial anesthesia. The patients were placed in a position using the position pillow on the basis of oral education before routine anesthesia in group P. The success rate of puncture at first attempt, puncture time and position placement time were recorded. The adjustment of position, body movement and occurrence of discomfort during the puncture were also recorded. The visual analogue scale score was used to evaluate the level of anxiety before positioning, after positioning and after anesthesia. The visual analogue scale score was used to evaluate the patient′s comfort and the operator′s satisfaction with position after the anesthesia was completed. Results:Compared with group C, the time for positioning was significantly shortened, the anxiety level was decreased after positioning and after anesthesia, the rate of improvement in anxiety was increased, the scores for the patient′s comfort and the operator′s satisfaction with position were increased ( P<0.05), and no significant changes were found in the success rate of puncture at first attempt, puncture time and incidence of body movement during the puncture and incidence of the adjustment of position ( P>0.05). No discomfort was observed in either group during the puncture. Conclusions:This new type of position pillows for the neuraxial anesthesia can not only optimize the effect of position placement, but also improve the patients′ comfort.

Previous studies have revealed that patients with hypertrophic cardiomyopathy (HCM) exhibit differences in symptom severity and prognosis, indicating potential HCM subtypes among these patients. Here, 793 patients with HCM were recruited at an average follow-up of 32.78 ± 27.58 months to identify potential HCM subtypes by performing consensus clustering on the basis of their echocardiography features. Furthermore, we proposed a systematic method for illustrating the relationship between the phenotype and genotype of each HCM subtype by using machine learning modeling and interactome network detection techniques based on whole-exome sequencing data. Another independent cohort that consisted of 414 patients with HCM was recruited to replicate the findings. Consequently, two subtypes characterized by different clinical outcomes were identified in HCM. Patients with subtype 2 presented asymmetric septal hypertrophy associated with a stable course, while those with subtype 1 displayed left ventricular systolic dysfunction and aggressive progression. Machine learning modeling based on personal whole-exome data identified 46 genes with mutation burden that could accurately predict subtype propensities. Furthermore, the patients in another cohort predicted as subtype 1 by the 46-gene model presented increased left ventricular end-diastolic diameter and reduced left ventricular ejection fraction. By employing echocardiography and genetic screening for the 46 genes, HCM can be classified into two subtypes with distinct clinical outcomes.

The effect of anti-programmed cell death 1 (anti-PD-1) immunotherapy is limited in patients with hepatocellular carcinoma (HCC). Yes-associated protein 1 (YAP1) expression increased in liver tumor cells in early HCC, and Akkermansia muciniphila abundance decreased in the colon. The response to anti-PD-1 treatment is associated with A. muciniphila abundance in many tumors. However, the interaction between A. muciniphila abundance and YAP1 expression remains unclear in HCC. Here, anti-PD-1 treatment decreased A. muciniphila abundance in the colon, but increased YAP1 expression in the tumor cells by mice with liver tumors in situ. Mechanistically, hepatocyte-specific Yap1 knockout (Yap1^LKO) maintained bile acid homeostasis in the liver, resulting in an increased abundance of A. muciniphila in the colon. Yap1 knockout enhanced anti-PD-1 efficacy. Therefore, YAP1 inhibition is a potential target for increasing A. muciniphila abundance to promote anti-PD-1 efficacy in liver tumors. Dihydroartemisinin (DHA), acting as YAP1 inhibitor, increased A. muciniphila abundance to sensitize anti-PD-1 therapy. A. muciniphila by gavage increased the number and activation of CD8⁺ T cells in liver tumor niches during DHA treatment or combination with anti-PD-1. Our findings suggested that the combination anti-PD-1 with DHA is an effective strategy for liver tumor treatment.