1.Influencing factors for postoperative malignant glaucoma in patients with primary angle-closure glaucoma
Jing LYU ; Jingfei BAN ; Zhihong ZHANG ; Yanan LI
International Eye Science 2026;26(4):711-717
AIM:To analyze the influencing factors of postoperative malignant glaucoma(MG)in patients with primary angle-closure glaucoma(PACG)using logistic regression and decision tree models.METHODS:A retrospective study was conducted on PACG patients who underwent surgery at Eye Hospital of Handan City from March 2020 to March 2025. Patients were divided into two groups: the MG group, who developed MG within 6 mo postoperatively, and the non-MG group. Data were collected from the electronic medical record system. Univariate analysis was performed, followed by multivariate logistic regression to identify independent risk factors. A classification and regression tree model was constructed to visualize the hierarchical relationships among predictors. The predictive performance of the two models was evaluated and compared using receiver operating characteristic(ROC)curve analysis.RESULTS:Totally 182 cases(182 eyes)with PACG were enrolled in this study, including 91 cases(91 eyes)in the MG group and 91 cases(91 eyes)in the non-MG group. In the MG group, there were 53 males and 38 females; 69 cases were aged ≥60 y and 22 cases were aged <60 y. In the non-MG group, there were 47 males and 44 females; 33 cases were aged ≥60 y and 58 cases were aged <60 y. The non-MG group comprised 91 patients, including 47 males and 44 females. Among them, 33 cases were aged ≥60 y, and 58 cases were aged<60 y. The MG group had significantly higher proportions of patients aged ≥60 y, diabetes, moderate-stage PACG, persistent high intraocular pressure(IOP), complete anterior chamber angle closure, lens thickness <4.5 mm, axial length <22 mm, and severe postoperative inflammation compared to the non-MG group(all P<0.01). Multivariate Logistic regression identified the following as independent influencing factors for postoperative MG: age [OR (95%CI)=2.136(1.401-3.255)], PACG stage [OR (95%CI)=2.996(2.044-4.391)], IOP [OR (95%CI)=3.527(1.604-7.755)],anterior chamber angle [OR (95%CI)=4.826(2.498-9.324)], axial length [OR (95%CI)=5.125(1.265-20.771)], and severe postoperative inflammation [OR (95%CI)=2.338(1.478-3.699)](all P<0.05). The decision tree model selected six explanatory variables: age, PACG stage, IOP, anterior chamber angle status, axial length, and severe postoperative inflammation. Axial length was the primary splitting factor at the root node. The areas under the ROC curve(AUC)for the logistic regression and decision tree models were 0.913(0.863-0.950)and 0.921(0.872-0.956), respectively, with no significant difference between them(Z=0.561, P=0.575).CONCLUSION:Both the logistic regression and decision tree models effectively identify key influencing factors for postoperative MG in PACG patients, including age, PACG stage, IOP, anterior chamber angle status, axial length, and severe postoperative inflammation. The decision tree model offers an intuitive, visual representation of risk stratification, facilitating clinical decision-making. Both models are applicable for clinical risk assessment.
2.Reported incidence rate of pulmonary tuberculosis and diagnosis and treatment of pulmonary tuberculosis patients in Jing’an District, Shanghai from 2018 to 2023
Jing YAO ; Zhihong LI ; Huaiqing ZHANG ; Zhiying HAN ; Kaikan GU
Shanghai Journal of Preventive Medicine 2025;37(10):826-829
ObjectiveTo analyze the reported incidence rate of pulmonary tuberculosis and diagnosis and treatment of pulmonary tuberculosis patients in Jing’an District, Shanghai from 2018 to 2023, and to provide a reference basis for the prevention and treatment of pulmonary tuberculosis. MethodsMedical records, including demographic information, diagnosis and treatment information, laboratory testing results, treatment outcomes, patient prognoses, and etc., of all the patients registered for first-time management, with the disease type of pulmonary tuberculosis in Jing’an District from January 1, 2018 to December 31, 2023 were extracted from the Tuberculosis Management Information System of China’s Disease Control and Prevention Information System.The reported incidence rate of pulmonary tuberculosis from 2018 to 2023 was analyzed. Additionally, the delay rate for medical consultation, diagnostic delay rate, prevalence of pulmonary cavity, rate of sputum smear-positive, sputum conversion rate of smear-positive patients after 2 months, proportion of deaths attributable to pulmonary tuberculosis or other causes, and the proportion of patients with treatment duration >1 year in 2018‒2019, 2020‒2022, and 2023 were compared, respectively. ResultsA total of 1 378 pulmonary tuberculosis patients were registered for management in Jing’an District in 2018‒2023, with a reported incidence rate of 25.97/100 000, 25.72/100 000, 23.93/100 000, 22.36/100 000, 18.18/100 000, and 22.32/100 000, respectively. Meanwhile, the overall reported incidence rates in 2018‒2019, 2020‒2022, and 2023 were 25.84/100 000, 21.53/100 000, and 22.32/100 000, respectively. The median age of the patients was 56 (33, 67) years, with a male-to-female ratio of 1.94∶1. The patients with a household registration of Shanghai accounted for 70.75%, among whom those aged between 61‒<71 years were the majority. Whereas, those aged between 31‒<41 years accounted for a higher proportion in the long-term resident population. The median delay times of patient’s medical consultation, diagnosis, and case-finding were 25 (19, 33) days, 29 (21, 43) days, and 41 (32, 66) days, respectively. The delay rate for medical consultation was higher in 2020‒2022 (47.99%) and 2023 (46.89%), but lower in 2018‒2019 (31.02%). In 2018‒2019, 2020‒2022, and 2023, the diagnostic delay rate was 12.41% (68/548), 13.53% (84/621), and 16.75% (35/209), respectively. Besides, during the same time the delay rate in case-finding was 19.53%, 27.05% and 34.45%, respectively, all exhibited an increasing trend. Furthermore, the rate of patients with pulmonary cavity was 16.06%, 14.98%, and 11.00%, respectively, showing a decreasing trend. Furthermore, the rate of sputum smear-positive was 27.19%, 33.33% and 32.54%, while the sputum conversion rate of smear-positive patients after 2 months was 81.21%, 85.02% and 89.71%. The mortality rates due to tuberculosis and other causes were 3.10%, 5.64%, and 3.83%, respectively. The proportion of patients with a treatment duration of ≥365 days was 44.27% in 2018‒2019, 39.93% in 2020‒2022 and 26.60% in 2023. ConclusionThe overall reported incidence rate of pulmonary tuberculosis in Jing’an District showed a decline trend from 2018‒2022, with a slight rebound in 2023. Targeted interventions should be prioritized for the elderly with local household registration and young permanent residents without Shanghai household registration.
3.Influencing factors of enlarged perivascular spaces in relapsing-remitting multiple sclerosis patients and their association with cognitive impairment
Zhihong LI ; Chaohui WANG ; Jing HAN ; Runhua BAI ; Yudan LIU ; Xue ZHANG ; Qingjun WANG ; Jianguo LIU
Chinese Journal of Neurology 2025;58(6):615-623
Objective:To investigate the influencing factors of enlarged perivascular space (PVS) in relapsing-remitting multiple sclerosis (RRMS) patients and their relationship with cognitive function.Methods:Twenty-seven individuals with RRMS (RRMS group) and 27 healthy controls (healthy control group) who presented to the Department of Neurology, the Sixth Medical Center of People′s Liberation Army General Hospital from July 2022 to November 2024 underwent cognitive function assessments. PVS volume fractions, lesion volumes, and brain volumes were calculated using FreeSurfer, FSL, and other relevant softwares. Group differences in PVS volume fractions, lesion volumes, brain volumes, and cognitive function assessments were compared. Furthermore, correlations between PVS volume fractions and lesion volumes, brain volumes, and cognitive function assessments were analyzed within the RRMS group.Results:Compared with the healthy control group, the RRMS group exhibited significantly higher PVS volume fractions in white matter (PVS_w) (3.14‰±0.29‰ vs 2.91‰±0.30‰, t=2.877, P=0.006) and PVS volume fractions in deep gray matter (PVS_d) (2.25‰±0.10‰ vs 2.17‰±0.09‰, t=2.681, P=0.010), indicating an enlargement of the PVS. Compared with the healthy control group, the RRMS group showed a significant decrease in both white matter volumes [297.3 (274.3, 340.2) ml vs (324.2 (311.0, 350.0) ml, U=-2.085, P=0.037] and deep grey matter volumes [40.2 (34.9, 43.6) ml vs 42.7 (40.2, 44.8) ml, U=-2.292, P=0.022]. Compared with the healthy control group, the RRMS group showed significantly lower scores in cognitive function assessments ( P<0.05). Univariate analysis showed that PVS_w in the RRMS group was significantly positively correlated with age ( r=0.486), white matter lesion volumes ( r=0.437) and deep gray matter lesion volumes ( r=0.394;all P<0.05); PVS_d was also significantly positively correlated with white matter lesion volumes ( r=0.418) and deep gray matter lesion volumes ( r=0.480; both P<0.05). Multiple linear regression analysis showed that age ( B=0.011,95% CI 0.004-0.017), white matter lesion volumes ( B=0.026,95% CI 0.011-0.040) and deep gray matter lesion volumes ( B=0.401,95% CI 0.032-0.771) in the RRMS group were significantly positively correlated with PVS_w, while white matter lesion volumes ( B=0.007,95% CI 0.001-0.014) and deep gray matter lesion volumes ( B=0.204,95% CI 0.029-0.380) were significantly positively correlated with PVS_d (both P<0.05). Univariate analysis showed that immediate memory score in the RRMS group was significantly negatively correlated with PVS_d ( r=-0.428), and was significantly positively correlated with education level ( r=0.471), deep gray matter volumes ( r=0.530) and total brain volumes ( r=0.389; all P<0.05); short-term delayed memory score in the RRMS group was significantly negatively correlated with age ( r=-0.390), PVS_w ( r=-0.417) and white matter lesion volumes ( r=-0.438), and was significantly positively correlated with gender ( r=0.393), white matter volumes ( r=0.478), deep gray matter volumes ( r=0.579) and total brain volumes ( r=0.602;all P<0.05); verbal fluency test score in the RRMS group was significantly negatively correlated with PVS_d ( r=-0.409) and was significantly positively correlated with education level ( r=0.419) and total brain volumes ( r=0.400;all P<0.05). Multiple linear regression analysis revealed that PVS_d ( B=-5.572, 95% CI -11.513--0.368) and brain volumes ( B=0.012, 95% CI 0.001-0.023) in the RRMS group were both significant predictors of immediate recall score, while PVS_d ( B=-14.203,95% CI -27.514--0.891) was an independent predictor of verbal fluency test score (all P<0.05). Conclusions:The PVS is enlarged in individuals with RRMS compared with the healthy controls, and increased lesion volumes may be a significant predictor. Furthermore, enlarged PVS in the deep gray matter may be a significant predictor of impairment of verbal memory and verbal function in individuals with RRMS.
4.Expert consensus on digital restoration of complete dentures.
Yue FENG ; Zhihong FENG ; Jing LI ; Jihua CHEN ; Haiyang YU ; Xinquan JIANG ; Yongsheng ZHOU ; Yumei ZHANG ; Cui HUANG ; Baiping FU ; Yan WANG ; Hui CHENG ; Jianfeng MA ; Qingsong JIANG ; Hongbing LIAO ; Chufan MA ; Weicai LIU ; Guofeng WU ; Sheng YANG ; Zhe WU ; Shizhu BAI ; Ming FANG ; Yan DONG ; Jiang WU ; Lin NIU ; Ling ZHANG ; Fu WANG ; Lina NIU
International Journal of Oral Science 2025;17(1):58-58
Digital technologies have become an integral part of complete denture restoration. With advancement in computer-aided design and computer-aided manufacturing (CAD/CAM), tools such as intraoral scanning, facial scanning, 3D printing, and numerical control machining are reshaping the workflow of complete denture restoration. Unlike conventional methods that rely heavily on clinical experience and manual techniques, digital technologies offer greater precision, predictability, and efficacy. They also streamline the process by reducing the number of patient visits and improving overall comfort. Despite these improvements, the clinical application of digital complete denture restoration still faces challenges that require further standardization. The major issues include appropriate case selection, establishing consistent digital workflows, and evaluating long-term outcomes. To address these challenges and provide clinical guidance for practitioners, this expert consensus outlines the principles, advantages, and limitations of digital complete denture technology. The aim of this review was to offer practical recommendations on indications, clinical procedures and precautions, evaluation metrics, and outcome assessment to support digital restoration of complete denture in clinical practice.
Humans
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Denture, Complete
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Computer-Aided Design
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Denture Design/methods*
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Consensus
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Printing, Three-Dimensional
5.Association Between Obesity-Related Metabolic Indices and Knee Osteoarthritis: A Cross-Sectional Study in Middle-Aged and Older Chinese Adults
Changfa HUANG ; Hao FAN ; Ze WEI ; Jing HAO ; Lijin LIU ; Su LIU ; Zhifa ZHENG ; Fei LIU ; Lina ZHAO ; Zhihong WU
Medical Journal of Peking Union Medical College Hospital 2025;17(1):172-180
To investigate the association between obesity-related metabolic indices and the risk of knee osteoarthritis(KOA) in middle-aged and older Chinese adults(≥45 years) using data from the China Health and Retirement Longitudinal Study(CHARLS). Data from two CHARLS survey waves(2011—2012 and 2015—2016) were analyzed. Obesity indices—including body mass index(BMI), waist circumference(WC), waist-to-height ratio(WHtR), visceral adiposity index(VAI), a body shape index(ABSI), body roundness index(BRI), lipid accumulation product(LAP), conicity index(CI), and Chinese visceral adiposity index(CVAI)-and metabolic indices-triglyceride glucose index(TyG), TyG-BMI, TyG-WC, and TyG-WHtR-were collected. Covariates comprised demographic characteristics, lifestyle factors, and health status. Three multivariate logistic regression models were constructed. Sex-subgroup analyses assessed heterogeneity, and receiver operating characteristic(ROC) curves with area under the curve(AUC) were used to evaluate diagnostic performance. Among 9527 participants, the prevalence of KOA was 9.59%(914/9527). After adjusting for confounders, linear regression revealed significant positive associations between KOA and BMI( BMI, BRI, LAP, TyG-BMI, and TyG-WHtR may serve as auxiliary indicators for KOA risk assessment in middle-aged and older women, but their standalone screening value remains modest. Clinical evaluation and integration with other risk factors are recommended for comprehensive risk stratification.
6.Prevalence of Schistosoma japonicum infections in wild rodents in key areas during the elimination phase
Chao LÜ ; Xiaojuan XU ; Jiajia LI ; Ting FENG ; Hai ZHU ; Yifeng LI ; Ling XU ; Zhihong FENG ; Huiwen JIANG ; Xiaoqing ZOU ; Wenjun WEI ; Zhiqiang QIN ; Yang HONG ; Shiqing ZHANG ; Jing XU
Chinese Journal of Schistosomiasis Control 2025;37(5):475-481
Objective To investigate the prevalence of Schistosoma japonicum infections in wild rodents in schistosomiasis-endemic areas of China, so as to provide insights into formulation of technical guidelines for monitoring of and the precise control strategy for S. japonicum infections in wild rodents during the elimination phase. Methods Two administrative villages where schistosomiasis was historically highly prevalent were selected each from Dongzhi County, Anhui Province, and Duchang County, Jiangxi Province as study villages. Wild rodents were captured from study villages with baited traps or cages at night in June and September, 2021. The number of rodents captured was recorded, and the rodent species was characterized based on morphologi-cal characteristics. Liver tissues were sampled from captured rodents for macroscopical observation of the presence of egg granu- lomas, and S. japonicum infection was detected simultaneously using liver tissue homogenate microscopy, examinations of mesenteric tissues for parasites, and modified Kato-Katz thick smear technique (Kato-Katz technique). A positive S. japonicum infection was defined as detection of S. japonicum eggs or adult worms by any of these methods. The rate of wild rodent capture and prevalence of S. japonicum infections in wild rodents were compared in different study villages and at different time periods, and the detection of S. japonicum infections in wild rodents was compared by different assays. Results The overall rate of wild ro- dent capture was 8.28% (237/2 861) in Dongzhi County, and the wild rodent capture rates were 9.24% (133/1 439) and 7.31% (104/1 422) in two study villages (χ2 = 3.503, P = 0.061), and were 8.59% (121/1 409) and 7.99% (116/1 452) in June and September, 2021, respectively (χ2 = 0.337, P = 0.561). The overall rate of wild rodent capture was 3.72% (77/2 072) in Duchang County, and the wild rodent capture rates were 6.91% (67/970) and 0.91% (10/1 102) in two study villages (χ2 = 51.901, P < 0.001), and were 4.13% (39/945) and 3.37% (38/1 127) in June and September, 2021, respectively (χ2 = 0.815, P = 0.365). Rattus norvegicus was the predominant rodent species captured in both counties, accounting for 70.04% (166/237) of all captured wild rodents in Dongzhi County and 88.31% (68/77) in Duchang County. No S. japonicum infection was detected in wild rodents captured in Duchang County. Nevertheless, the overall prevalence of S. japonicum infections was 51.05% (121/237) in wild rodents captured in Dongzhi County, with prevalence rates of 50.38% (67/133) and 51.92% (54/104) in two study villages (χ2 = 0.098, P = 0.755), and 54.31% (63/116) and 47.93% (58/121) in September and June, 2021, respectively (χ2 = 0.964, P = 0.326). Of 237 wild rodents captured in Dongzhi County, there were 140 (59.07%) rodents with visible hepatic egg granulomas, 117 (49.47%) tested positive for S. japonicum eggs by liver tissue homogenate microscopy, 34 (14.35%) tested positive for S. japonicum eggs with Kato-Katz technique; however, no adult S. japonicum worms were detected in mesenteric tissues. In addition, hepatic egg granulomas were found in all wild rodents tested positive for S. japonicum eggs with liver tissue homogenate microscopy. Conclusions The rate of wild rodent capture and prevalence of S. japonicum infection in wild rodents vary greatly in schistosomiasis-endemic areas of China, and the prevalence of S. japonicum infection is slightly higher in wild rodents captured in autumn than in summer. Liver tissue is recommended as the preferred sample for surveillance of S. japonicum infection in wild rodents, and a combination of macroscopical observation of hepatic egg granulomas and liver tissue homogenate microscopy may be a standard method for surveillance of S. japonicum infection in wild rodents.
7.Non-coding RNAs in alcohol-associated liver disease
Ge ZENG ; Hui GAO ; Yanchao JIANG ; Nazmul HUDA ; Themis THOUDAM ; Zhihong YANG ; Jing MA ; Jian SUN ; Suthat LIANGPUNSAKUL
Liver Research 2025;9(2):81-93
Non-coding RNAs(ncRNAs),encompassing microRNAs(miRNAs),long non-coding RNAs(lncRNAs),and circular RNAs(circRNAs),have emerged as critical regulators of gene expression and cellular function.In alcohol-associated liver disease(ALD),chronic alcohol consumption disrupts the expression and function of ncRNAs in the liver and circulation,contributing to the disease's pathogenesis and progression.Dysregulated ncRNAs influence key pathways involved in hepatocyte injury,lipid metabolism,inflam-mation,and hepatic stellate cell(HSC)activation,thereby exacerbating steatosis,inflammation,and fibrosis.Furthermore,extracellular vesicles play a pivotal role in mediating ncRNA-driven intercellular communication,amplifying liver damage and fibrosis.This review provides a comprehensive overview of the multifaceted roles of ncRNAs in ALD,with a focus on their mechanistic contributions to disease development and progression.Additionally,we discuss the potential of ncRNAs as diagnostic biomarkers and therapeutic targets,emphasizing their translational relevance in addressing the burden of ALD.
8.Potential profile analysis and influencing factors of self-management in patients with sudden deafness
Jing LIU ; Nuo ZHAO ; Zhihong LI ; Yi SU ; Caixia DU ; Dayong WANG
Journal of Audiology and Speech Pathology 2025;33(5):438-443
Objective To investigate the potential profile of self-management behavior in patients with sudden deafness,the characteristics and influencing factors of different categories of patients,and provide reference for clin-ical management.Methods A total of 205 patients with sudden deafness who were hospitalized in the Department of Otology of a Grade 3 hospital in Beijing were selected by convenience sampling method from August 2023 to June 2024.Date were collected using the general situation questionnaire,self-management status assessment scale for sudden deafness patient and social support rating scale.Mplus 8.0 was used for potential profile analysis,and SPSS 26.0 was used for single factor analysis and multiple logistic regression analysis.Results A total of 200 valid ques-tionnaires were collected.Patients were divided into 3 categories according to their self-management level,which were respectively named as"high management—good self-efficacy group"(n=52,26.00%),"moderate manage-ment—symptoms of special concern group"(n=101,50.50%),and"low management-lack of information acquisi-tion group"(n=47,23.50%).Multiple logistic regression analysis showed that education level,sleep disorder and social support level were the influencing factors of different self-management categories in patients with sudden deaf-ness.Conclusion The overall self-management ability of patients with sudden deafness is at a moderate level and with significant heterogeneity.Education level,sleep disorders,and social support serve as stratification criteria for categorizing different patient groups and formulating corresponding intervention strategies.Priority should be given to providing information support to the"low-management group with information deficiency",implementing targe-ted interventions for the"moderate-management group with symptom focus",and fully leveraging the self-efficacy of the"high-management group with good self-efficacy"to regulate their self-management level.
9.Potential profile analysis and influencing factors of self-management in patients with sudden deafness
Jing LIU ; Nuo ZHAO ; Zhihong LI ; Yi SU ; Caixia DU ; Dayong WANG
Journal of Audiology and Speech Pathology 2025;33(5):438-443
Objective To investigate the potential profile of self-management behavior in patients with sudden deafness,the characteristics and influencing factors of different categories of patients,and provide reference for clin-ical management.Methods A total of 205 patients with sudden deafness who were hospitalized in the Department of Otology of a Grade 3 hospital in Beijing were selected by convenience sampling method from August 2023 to June 2024.Date were collected using the general situation questionnaire,self-management status assessment scale for sudden deafness patient and social support rating scale.Mplus 8.0 was used for potential profile analysis,and SPSS 26.0 was used for single factor analysis and multiple logistic regression analysis.Results A total of 200 valid ques-tionnaires were collected.Patients were divided into 3 categories according to their self-management level,which were respectively named as"high management—good self-efficacy group"(n=52,26.00%),"moderate manage-ment—symptoms of special concern group"(n=101,50.50%),and"low management-lack of information acquisi-tion group"(n=47,23.50%).Multiple logistic regression analysis showed that education level,sleep disorder and social support level were the influencing factors of different self-management categories in patients with sudden deaf-ness.Conclusion The overall self-management ability of patients with sudden deafness is at a moderate level and with significant heterogeneity.Education level,sleep disorders,and social support serve as stratification criteria for categorizing different patient groups and formulating corresponding intervention strategies.Priority should be given to providing information support to the"low-management group with information deficiency",implementing targe-ted interventions for the"moderate-management group with symptom focus",and fully leveraging the self-efficacy of the"high-management group with good self-efficacy"to regulate their self-management level.
10.Influencing factors of enlarged perivascular spaces in relapsing-remitting multiple sclerosis patients and their association with cognitive impairment
Zhihong LI ; Chaohui WANG ; Jing HAN ; Runhua BAI ; Yudan LIU ; Xue ZHANG ; Qingjun WANG ; Jianguo LIU
Chinese Journal of Neurology 2025;58(6):615-623
Objective:To investigate the influencing factors of enlarged perivascular space (PVS) in relapsing-remitting multiple sclerosis (RRMS) patients and their relationship with cognitive function.Methods:Twenty-seven individuals with RRMS (RRMS group) and 27 healthy controls (healthy control group) who presented to the Department of Neurology, the Sixth Medical Center of People′s Liberation Army General Hospital from July 2022 to November 2024 underwent cognitive function assessments. PVS volume fractions, lesion volumes, and brain volumes were calculated using FreeSurfer, FSL, and other relevant softwares. Group differences in PVS volume fractions, lesion volumes, brain volumes, and cognitive function assessments were compared. Furthermore, correlations between PVS volume fractions and lesion volumes, brain volumes, and cognitive function assessments were analyzed within the RRMS group.Results:Compared with the healthy control group, the RRMS group exhibited significantly higher PVS volume fractions in white matter (PVS_w) (3.14‰±0.29‰ vs 2.91‰±0.30‰, t=2.877, P=0.006) and PVS volume fractions in deep gray matter (PVS_d) (2.25‰±0.10‰ vs 2.17‰±0.09‰, t=2.681, P=0.010), indicating an enlargement of the PVS. Compared with the healthy control group, the RRMS group showed a significant decrease in both white matter volumes [297.3 (274.3, 340.2) ml vs (324.2 (311.0, 350.0) ml, U=-2.085, P=0.037] and deep grey matter volumes [40.2 (34.9, 43.6) ml vs 42.7 (40.2, 44.8) ml, U=-2.292, P=0.022]. Compared with the healthy control group, the RRMS group showed significantly lower scores in cognitive function assessments ( P<0.05). Univariate analysis showed that PVS_w in the RRMS group was significantly positively correlated with age ( r=0.486), white matter lesion volumes ( r=0.437) and deep gray matter lesion volumes ( r=0.394;all P<0.05); PVS_d was also significantly positively correlated with white matter lesion volumes ( r=0.418) and deep gray matter lesion volumes ( r=0.480; both P<0.05). Multiple linear regression analysis showed that age ( B=0.011,95% CI 0.004-0.017), white matter lesion volumes ( B=0.026,95% CI 0.011-0.040) and deep gray matter lesion volumes ( B=0.401,95% CI 0.032-0.771) in the RRMS group were significantly positively correlated with PVS_w, while white matter lesion volumes ( B=0.007,95% CI 0.001-0.014) and deep gray matter lesion volumes ( B=0.204,95% CI 0.029-0.380) were significantly positively correlated with PVS_d (both P<0.05). Univariate analysis showed that immediate memory score in the RRMS group was significantly negatively correlated with PVS_d ( r=-0.428), and was significantly positively correlated with education level ( r=0.471), deep gray matter volumes ( r=0.530) and total brain volumes ( r=0.389; all P<0.05); short-term delayed memory score in the RRMS group was significantly negatively correlated with age ( r=-0.390), PVS_w ( r=-0.417) and white matter lesion volumes ( r=-0.438), and was significantly positively correlated with gender ( r=0.393), white matter volumes ( r=0.478), deep gray matter volumes ( r=0.579) and total brain volumes ( r=0.602;all P<0.05); verbal fluency test score in the RRMS group was significantly negatively correlated with PVS_d ( r=-0.409) and was significantly positively correlated with education level ( r=0.419) and total brain volumes ( r=0.400;all P<0.05). Multiple linear regression analysis revealed that PVS_d ( B=-5.572, 95% CI -11.513--0.368) and brain volumes ( B=0.012, 95% CI 0.001-0.023) in the RRMS group were both significant predictors of immediate recall score, while PVS_d ( B=-14.203,95% CI -27.514--0.891) was an independent predictor of verbal fluency test score (all P<0.05). Conclusions:The PVS is enlarged in individuals with RRMS compared with the healthy controls, and increased lesion volumes may be a significant predictor. Furthermore, enlarged PVS in the deep gray matter may be a significant predictor of impairment of verbal memory and verbal function in individuals with RRMS.

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