Objective: To investigate the efficacy of implantable neuromuscular electrical stimulation system on stress urinary incontinence (SUI) model in female rats. Methods: A total of 21 female infertile SD rats were randomly divided into the control，sham stimulation，and stimulation groups，with 7 rats in each group.All rats received vaginal dilation (VD) to simulate postpartum SUI.One week after VD，the control group was given normal feeding，stimulators were implanted in the pelvic floor muscles of the sham stimulation and stimulation groups.The sham stimulation group received normal feeding for 2 weeks，and the stimulation group received pelvic floor electrical stimulation (PFES) for 2 consecutive weeks.The leak point pressure (LPP) of each rat was measured with cystometry before VD (baseline value)，1 week after VD，and 2 weeks after PFES. Results: In the control group and sham stimulation group，LPP increased after 2 weeks of treatment compared with that after 1 week of VD，but it still did not return to the baseline level (P<0.001).In the stimulation group，after 2 consecutive weeks of PFES，LPP increased significantly compared with that 1 week after VD，and returned to the baseline value (P>0.05).There was no significant difference in the LPP baseline values and levels after 1 week of VD among the 3 groups (P>0.05).The LPP in the stimulation group after 2 weeks of PFES was significantly higher than that in the sham stimulation group and stimulation group (P<0.001). Conclusion: The implantable neuromuscular electrical stimulation system is effective in short-term intervention of SUI in female rats，the further studies are needed to confirm the long-term efficacy and safety of the system，the optimal stimulation sites，optimal stimulation parameters，and potential mechanisms of action.

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Objective:This study aims to analyze the clinical characteristics of elderly patients with lung adenocarcinoma and to construct a predictive model for assessing their survival.Methods:We conducted a retrospective analysis of clinical data sourced from the SEER database for patients aged 60 years or older who were diagnosed with lung adenocarcinoma between 2013 and 2018.Cox regression analysis was employed to identify independent prognostic factors affecting the survival of elderly lung adenocarcinoma patients, leading to the development of a nomogram model.The discriminative ability and calibration of the nomogram were assessed using the C-index and calibration curve.Each patient's total risk score was calculated based on the predictive model, and patients were stratified according to the quartiles of their total risk scores.The Kaplan-Meier method and Log-rank test were utilized to evaluate survival differences among the identified risk groups.Results:Among 38, 852 lung adenocarcinoma patients, 17, 200 were males and 21, 652 were females.Significant differences in survival rates were observed among lung adenocarcinoma patients based on age, gender, marital status, histological grade, TNM stage, tumor size, and the presence of bone, brain, or liver metastases, as well as the type of treatment received, including surgical treatment, radiation therapy, and chemotherapy(all P<0.001).The C-index of the training model was 0.815(95% CI: 0.811-0.819), while the validation model yielded a C-index of 0.810(95% CI: 0.804-0.816).The prediction model demonstrated higher Area Under Curve(AUC)values of 0.746, 0.768, and 0.775 for 1-year, 3-year, and 5-year survival in the modeling dataset, respectively, and 0.747, 0.770, and 0.777 in the validation dataset.Furthermore, the risk stratification model effectively distinguished patients at varying levels of risk( P<0.001). Conclusions:Age, gender, marital status, histological grade, TNM stage, tumor size, and the presence of bone, brain, and liver metastases, along with treatment modalities such as surgery, radiotherapy, and chemotherapy, were identified as independent prognostic factors for elderly patients with lung adenocarcinoma.The risk prediction model developed in this study effectively differentiates between patients at varying levels of risk, which holds significant implications for predicting treatment responses in elderly lung adenocarcinoma patients and advancing the practice of precision medicine.

Objective:To explore the latent profile types of capability-opportunity-motivation-behavior in stroke patients and analyze the influencing factors of different latent profiles.Methods:From January to October 2023, totally 596 stroke patients from the Neurology Department of five ClassⅢ Grade A hospitals in Henan Province were selected by stratified random sampling. The patients were surveyed using a general information questionnaire, the Stroke Prevention Knowledge Questionnaire (SPKQ), the Social Support Rating Scale (SSRS), the WHO's Quality of Life Questionnaire- Brief Version (WHOQOL-BREF), the Short Form Health Belief Model Scale (SF-HBMS), and the Health Promoting Lifestyle ProfileⅡ (HPLPⅡ). Latent profile analysis was used to classify the capability-opportunity-motivation-behavior characteristics of stroke patients, and multiple logistic regression was conducted to explore the influencing factors of different latent profiles.Results:Three latent profiles of capability-opportunity-motivation-behavior in stroke patients were identified, including low capability-opportunity-motivation-behavior with high health beliefs (32.4%, 193/596), moderate capability-opportunity-motivation-behavior with insufficient health beliefs (47.5%, 283/596), and high capability-opportunity-motivation-behavior with lack of social support (20.1%, 120/596). Multiple logistic regression analysis showed that educational level, smoking history, family history, body mass index, and Charlson Comorbidity Index score were influencing factors of different latent profiles ( P<0.05) . Conclusions:Stroke patients exhibit distinct classifications of capability-opportunity-motivation-behavior. Targeted interventions should be conducted based on the characteristics of each category to improve health behavior management outcomes in patients.

Objective:To explore the mediating effect of rumination between self-perceived burden (SPB) and stigma in stroke patients, so as to provide theoretical basis for the development of targeted nursing interventions in clinical practice.Methods:In September 2022, cluster sampling was used to select 1 126 stroke patients admitted to Department of Neurology of five ClassⅢ Grade A hospitals in Henan Province as subjects. General Information Questionnaire, Self-Perceived Burden Scale (SPBS), Stroke Stigma Scale (SSS), and Chinese Version of Event Related Rumination Inventory (C-ERRI) were used to investigate stroke patients. Pearson correlation analysis was used to explore the correlation between SPB, rumination, and stigma. AMOS 28.0 software was used to establish the structural equation model, and Bootstrap method was used to test the mediating effect.Results:A total of 1 126 questionnaires were distributed, and 1 026 valid questionnaires were collected, with a valid response rate of 91.12% (1 026/1 126). SPBS score of 1 026 stroke patients was (28.68±8.32), the SSS score was (40.53±9.48) and the C-ERRI score was (25.43±12.62). Pearson correlation analysis showed that SPB in stroke patients was positively correlated with stigma and rumination ( P<0.01), and rumination was positively correlated with stigma ( P<0.01). Bootstrap mediating effect test showed that rumination partially mediated the relationship between SPB and stigma in stroke patients, accounting for 55.15% of the total effect. Conclusions:SPB of stroke patients both directly affect stigma and indirectly affect stigma through rumination. Clinical nursing workers should promptly evaluate patients' SPB, pay attention to the mediating role of rumination, develop effective psychological intervention programs, implement personalized and targeted nursing measures, relieve patients' stigma, and improve treatment and rehabilitation compliance.

Objective:To understand the research status and hotspots in the field of stroke health management at home and abroad, and to provide insights for stroke health management research in China.Methods:Relevant literature on stroke health management published between 2013 and 2023 was retrieved from the Web of Science Core Collection and China National Knowledge Infrastructure databases. CiteSpace 6.1.R6 was used for the visual analysis of the number of publications, authors, institutions, countries, and keywords.Results:A total of 382 relevant articles were included, with 169 in English and 213 in Chinese. The number of publications on stroke health management showed a fluctuating upward trend. Research hotspots and frontiers in stroke health management mainly focused on telemedicine, big data and "Internet+", primary and secondary prevention, risk prediction models, quality of life, and swallowing disorders. Future research trends may focus on management models for post-stroke swallowing disorders, risk identification, and the role of caregivers in remote rehabilitation interventions.Conclusions:Researchers can refer to the research hotspots and trends shown by the visual analysis, with particular attention to health management models for patients with post-stroke swallowing disorders and issues related to remote intervention rehabilitation.

Objective:To analyze the burden and changing trends of periodontal disease in adults of the mainland of China from 1990 to 2019, and to predict the incidence trends of periodontal disease in the next 25 years, with a goal to provide a basis for reducing the burden of periodontal disease and formulating relevant prevention and treatment measures.Methods:Data on the incidence, prevalence, and disability adjusted life years (DALY) rate of periodontal disease among adults in the mainland of China from 1990 to 2019 were extracted from the global burden of disease study 2019 (GBD 2019) database. The estimated annual percent change (EAPC) was used to estimate the temporal trend of periodontal disease, and the age-period-cohort model (APC) was used to predict the age-standardized incidence of periodontal disease in Chinese adults from 2020 to 2044.Results:From 1990 to 2019, the incidence, prevalence, and DALY rate of adult periodontal disease in the mainland of China showed an increasing trend, with EAPCs of 0.3 (95% CI: 0.1-0.6), 0.5 (95% CI: 0.1-0.8), and 0.5 (95% CI: 0.1-0.8), respectively. The incidence and prevalence of periodontitis among the population aged 35-39 years old and 40-44 years old increased the most significantly, with EAPCs of 0.8 and 0.7, respectively, whereas the change in periodontal disease prevalence tended to be stable and the increase trend in prevalence was lower in the elderly group (EAPC=0.4). The incidence (EAPC=2.1), prevalence (EAPC=2.6) and DALY rate (EAPC=2.6) of periodontal disease in females increased more than those in males (EAPC=1.9, 2.4, and 2.4, respectively), of which the prevalence had exceeded that of males in 2019. The APC model predicted that the prevalence of periodontal disease in the period of 2020-2044 in China would still be on an upward trend, and the increase rate would be higher in females than in males. Conclusions:The burden of periodontal disease among adults in China had been increasing over the past 30 years, especially among young and middle-aged adults as well as females, and the incidence of periodontal disease will continue to increase over the next 25 years.

Alzheimer's disease (AD) is associated with the impairment of white matter (WM) tracts. The current study aimed to verify the utility of WM as the neuroimaging marker of AD with multisite diffusion tensor imaging datasets [321 patients with AD, 265 patients with mild cognitive impairment (MCI), 279 normal controls (NC)], a unified pipeline, and independent site cross-validation. Automated fiber quantification was used to extract diffusion profiles along tracts. Random-effects meta-analyses showed a reproducible degeneration pattern in which fractional anisotropy significantly decreased in the AD and MCI groups compared with NC. Machine learning models using tract-based features showed good generalizability among independent site cross-validation. The diffusion metrics of the altered regions and the AD probability predicted by the models were highly correlated with cognitive ability in the AD and MCI groups. We highlighted the reproducibility and generalizability of the degeneration pattern of WM tracts in AD.
Humans ; White Matter/diagnostic imaging* ; Diffusion Tensor Imaging/methods* ; Alzheimer Disease/complications* ; Reproducibility of Results ; Cognition ; Cognitive Dysfunction/complications* ; Brain/diagnostic imaging*

Objective: To analyze the prevalence and the risk factors of fungal sepsis in 25 neonatal intensive care units (NICU) among preterm infants in China, and to provide a basis for preventive strategies of fungal sepsis. Methods: This was a second-analysis of the data from the "reduction of infection in neonatal intensive care units using the evidence-based practice for improving quality" study. The current status of fungal sepsis of the 24 731 preterm infants with the gestational age of <34⁺⁰ weeks, who were admitted to 25 participating NICU within 7 days of birth between May 2015 and April 2018 were retrospectively analyzed. These preterm infants were divided into the fungal sepsis group and the without fungal sepsis group according to whether they developed fungal sepsis to analyze the incidences and the microbiology of fungal sepsis. Chi-square test was used to compare the incidences of fungal sepsis in preterm infants with different gestational ages and birth weights and in different NICU. Multivariate Logistic regression analysis was used to study the outcomes of preterm infants with fungal sepsis, which were further compared with those of preterm infants without fungal sepsis. The 144 preterm infants in the fungal sepsis group were matched with 288 preterm infants in the non-fungal sepsis group by propensity score-matched method. Univariate and multivariate Logistic regression analysis were used to analyze the risk factors of fungal sepsis. Results: In all, 166 (0.7%) of the 24 731 preterm infants developed fungal sepsis, with the gestational age of (29.7±2.0) weeks and the birth weight of (1 300±293) g. The incidence of fungal sepsis increased with decreasing gestational age and birth weight (both P<0.001). The preterm infants with gestational age of <32 weeks accounted for 87.3% (145/166). The incidence of fungal sepsis was 1.0% (117/11 438) in very preterm infants and 2.0% (28/1 401) in extremely preterm infants, and was 1.3% (103/8 060) in very low birth weight infants and 1.7% (21/1 211) in extremely low birth weight infants, respectively. There was no fungal sepsis in 3 NICU, and the incidences in the other 22 NICU ranged from 0.7% (10/1 397) to 2.9% (21/724), with significant statistical difference (P<0.001). The pathogens were mainly Candida (150/166, 90.4%), including 59 cases of Candida albicans and 91 cases of non-Candida albicans, of which Candida parapsilosis was the most common (41 cases). Fungal sepsis was independently associated with increased risk of moderate to severe bronchopulmonary dysplasia (BPD) (adjusted OR 1.52, 95%CI 1.04-2.22, P=0.030) and severe retinopathy of prematurity (ROP) (adjusted OR 2.55, 95%CI 1.12-5.80, P=0.025). Previous broad spectrum antibiotics exposure (adjusted OR=2.50, 95%CI 1.50-4.17, P<0.001), prolonged use of central line (adjusted OR=1.05, 95%CI 1.03-1.08, P<0.001) and previous total parenteral nutrition (TPN) duration (adjusted OR=1.04, 95%CI 1.02-1.06, P<0.001) were all independently associated with increasing risk of fungal sepsis. Conclusions: Candida albicans and Candida parapsilosis are the main pathogens of fungal sepsis among preterm infants in Chinese NICU. Preterm infants with fungal sepsis are at increased risk of moderate to severe BPD and severe ROP. Previous broad spectrum antibiotics exposure, prolonged use of central line and prolonged duration of TPN will increase the risk of fungal sepsis. Ongoing initiatives are needed to reduce fungal sepsis based on these risk factors.
Infant ; Infant, Newborn ; Humans ; Birth Weight ; Intensive Care Units, Neonatal ; Retrospective Studies ; Tertiary Care Centers ; Infant, Extremely Low Birth Weight ; Gestational Age ; Infant, Extremely Premature ; Sepsis/epidemiology* ; Retinopathy of Prematurity/epidemiology* ; Bronchopulmonary Dysplasia/epidemiology*

OBJECTIVES: Varicella-zoster virus (VZV) is one of the most common etiologies of viral meningitis/encephalitis. The early clinical manifestations and cerebrospinal fluid (CSF) changes of VZV meningitis/encephalitis lack specificity, and it is easy to be misdiagnosed as other viral encephalitides or tuberculous meningitis. This study aims to investigate whether the clinical characteristics, CSF analysis findings, and CSF cytokine levels could distinguish VZV meningitis/encephalitis from central nervous system (CNS) herpes simplex virus (HSV) and Mycobacterium tuberculosis (MTB) infections. METHODS: The medical records from 157 CNS infections, including 49 HSV (45 HSV-1, 4 HSV-2), 55 VZV, and 53 MTB infections between January 2018 and June 2021 in the Cytology Laboratory, Department of Neurology, Third Xiangya Hospital of Central South University were retrospectively reviewed. The data of 3 groups included demographic characteristics, laboratory results, radiographic findings, and outcomes. The levels of 12 cytokines (IL-1β, IL-2, IL-4, IL-5, IL-6, IL-8, IL-10, IL-12p70, IL-17, IFN-γ, IFN-α, and TNF-α) in the CSF of 68 patients (13 HSV, 22 VZV, and 33 MTB infection cases) were quantified. Clinical and laboratory data were compared among the 3 groups. RESULTS: The most common clinical manifestations in the 3 groups were fever, headache, vomiting, and neck stiffness. The clinical manifestations of HSV and VZV CNS disease were similar, although fever and altered consciousness were less common in the VZV group than those in the HSV and MTB groups (63.6% vs 87.8% vs 96.2%, P<0.001, and 14.5% vs 26.5% vs 47.2%, P=0.004, respectively). Seven patients (7/55, 12.7%) presented cutaneous zoster in the VZV group. CSF leukocyte count was significantly higher in the VZV group (230×10⁶ cells/mL) and MTB groups (276×10⁶ cells/mL) than that in the HSV group (87×10⁶ cells/mL, P=0.002). CSF protein level was significantly higher in the VZV than that in the HSV group (1 034 mg/L vs 694 mg/L, P=0.011) but lower than that in the MTB group (1 744 mg/L, P<0.001). IL-6 (VZV vs HSV vs MTB: 2 855.93 pg/mL vs 2 128.26 pg/mL vs 354.77 pg/mL, P=0.029) and IL-8 (VZV vs HSV vs MTB: 4 001.46 pg/mL vs 1 578.11 pg/mL vs 1 023.25 pg/mL, P=0.046) levels were significantly different among the 3 groups and were elevated in the VZV group.Post hoc analysis revealed that IL-6 and IL-8 were significantly higher in the VZV group than those in the MTB group (P=0.002 and P=0.035, respectively), but not in the HSV group (P>0.05). CONCLUSIONS VZV meningitis/encephalitis presents with CSF hypercellularity and proteinemia, challenging the classical view of CSF profiles in viral encephalitis. CSF IL-6 and IL-8 levels are elevated in patients with VZV meningitis/encephalitis, indicating a more intense inflammatory response in these patients.
Humans ; Central Nervous System Infections ; Encephalitis ; Encephalitis, Varicella Zoster/diagnosis* ; Encephalitis, Viral/diagnosis* ; Herpesvirus 3, Human ; Interleukin-6 ; Interleukin-8 ; Meningitis ; Retrospective Studies