UNASSIGNED: Extramammary Paget\'s disease (EMPD) is a rare skin cancer with unclear pathogenesis, insidious progression, and high recurrence rate. The purpose of this study was to investigate the clinical features and postoperative recurrence factors of primary EMPD.
UNASSIGNED: We retrospectively analyzed the medical records of 40 patients with primary EMPD who underwent wide local excision surgery at a single medical center between 2009 and 2019. Risk factors for recurrence of primary EMPD were analyzed using multivariate binary logistic regression.
UNASSIGNED: The study included 40 patients with primary EMPD, comprising 31 males (77.5%) and 9 females (22.5%), with a median age of 75.52 years (range 52-99 years). The most common lesion location was the scrotum (22 cases, 55.0%), followed by the vulva, penis, scrotum, underarm and anus. Multivariable regression analysis revealed significant differences in the presence of ill-defined tumour borders, exudation and nodules in the primary lesion affecting the relapse of primary EMPD (p<0.05).
UNASSIGNED: Our findings indicate that ill-defined tumour borders, exudation and nodules in the primary site should be considered as independent risk factors for disease recurrence, which may provide useful suggestions for the diagnosis, treatment and follow-up of primary EMPD.

The mitochondrial unfolded protein response (UPRmt) is a cytoprotective response in response to cellular stress that is activated in response to mitochondrial stress to maintain intra-protein homeostasis, thereby protecting the cell from a variety of stimuli. The activation of this response has been linked to cardiovascular diseases. Here, we reviewed the current understanding of UPRmt and discussed its specific molecular mechanism, mainly in mammals, as well as addressing its protective role against cardiovascular diseases, so as to provide direction for further research on UPRmt and therapies targeting cardiovascular diseases in the future.

Selenium (Se) is an essential trace element for humans and its low or high concentration in vivo is associated with the high risk of many diseases. It is important to identify influential factors of Se status. The present study aimed to explore the association between several factors (Se intake, gender, age, race, education, body mass index (BMI), income, smoking and alcohol status) and blood Se concentration using the National Health and Nutrition Examination Survey 2017-2020 data. Demographic characteristics, physical examination, health interviews and diets were compared among quartiles of blood Se concentration using the Rao-Scott χ2 test. Se levels were compared between the different groups of factors studied, measuring the strength of their association. A total of 6205 participants were finally included. The normal reference ranges of blood Se concentration were 142.3 (2.5th percentile) and 240.8 μg/L (97.5th percentile), respectively. The mean values of dietary Se intake, total Se intake and blood Se concentration of the participants were 111.5 μg/day, 122.7 μg/day and 188.7 μg/L, respectively, indicating they were in the normal range. Total Se intake was the most important contributor of blood Se concentration. Gender, race, education status, income, BMI, smoking and alcohol status were associated with blood Se concentration.

OBJECTIVE: This study aimed to investigate the factors associated with perceived cognitive function among breast cancer patients treated with chemotherapy in China.
METHODS: The study was a multicenter cross-sectional design. Data were collected from 10 public hospitals in China between April 2022 and February 2023. A total of 741 participants completed questionnaires assessing sociodemographic and medical characteristics, perceived cognitive function, sleep quality, fatigue, anxiety, and depression. Hierarchical multiple regression analysis was used to assess the determinants of cognitive function.
RESULTS: The hierarchical multiple regression model accounted for 31.5% of variation in perceived cognitive function (sociodemographic 4.5%; medical 6.6%; exercise frequency 6.6%; sleep quality 2.1%; fatigue 2.8%; anxiety combined with depression 9.0%). Education level, chemotherapy type, number of chemotherapy cycles, and cyclophosphamide drug use were significant predisposing factors of perceived cognitive function (p < 0.001). Exercising ≥3 times/week (p < 0.001) was a significant factor positively influencing perceived cognitive function, meanwhile, anxiety (p < 0.001) and depression (p < 0 0.001) were negative factors.
CONCLUSIONS: Our findings suggest that patients with low education levels, postoperative chemotherapy, cyclophosphamide treatment, and a greater number of chemotherapy cycles need more assessment. Sedentary patients, those who have never exercised, and those with anxiety or depression all showed greater cognitive decline. By identifying susceptible populations, encouraging regular exercise, and addressing anxiety and depression, healthcare professionals can contribute significantly to prevent patients\' cognitive decline throughout chemotherapy.

BACKGROUND: The coronavirus disease 2019 (COVID-19) spread rapidly in Shanghai in February 2022. Patients with asymptomatic and mild symptoms were admitted to Fangcang shelter hospitals for centralized quarantine.
METHODS: A total of 5,217 non-severe patients hospitalized in the Longyao Fangcang and Shilong Fangcang hospitals were included in the study. Demographic and clinical characteristics, comorbidity, exposure history, treatment and disease duration were analyzed. Univariate analysis and binomial logistic regression analysis were performed to identify the factors influencing nucleic acid change from positive to negative over 14 days.
RESULTS: Consecutive positive nucleic acid test results (days) were significantly associated with advanced age (OR = 1.343, 95% CI 1.143 to 1.578, p < 0.001), smoking (OR = 0.510, 95% CI 0.327 to 0.796, p = 0.003) and vaccination (OR = 0.728, 95% CI 0.641 to 0.827, p < 0.001). However, there was no significant difference between asymptomatic and mild symptomatic patients (p = 0.187). In univariate analysis, comorbidities including diabetes, hypertension, cardiovascular system, malignant tumors, autoimmune diseases and cerebral apoplexy were associated with consecutive positive nucleic acid test results, but there was no significant difference in binomial logistics regression analysis.
CONCLUSIONS: Aging and comorbid conditions lead to the prolongation of positive nucleic acid test results for several days. Improving vaccination coverage is beneficial for prevention and control of the epidemic. The management and treatment methods of Shanghai Fangcang shelter hospitals had important referential significance, which can provide valuable guidance for the prevention and control of the COVID-19 epidemic in the future.

The purpose of this study was to review the literature on the clinical use of voriconazole (VRC) in pediatric patients. MEDLINE, Embase, PubMed, Web of Science, and Cochrane Library were searched from January 1, 2000, to August 15, 2023 for relevant clinical studies on VRC use in pediatric patients. Data were collected based on inclusion and exclusion criteria, and a systematic review was performed on recent research related to the use of VRC in pediatric patients. This systematic review included a total of 35 observational studies among which there were 16 studies investigating factors influencing VRC plasma trough concentrations (Ctrough) in pediatric patients, 14 studies exploring VRC maintenance doses required to achieve target range of Ctrough, and 11 studies focusing on population pharmacokinetic (PPK) research of VRC in pediatric patients. Our study found that the Ctrough of VRC were influenced by both genetic and non-genetic factors. The optimal dosing of VRC was correlated with age in pediatric patients, and younger children usually required higher VRC doses to achieve target Ctrough compared to older children. Establishing a PPK model for VRC can assist in achieving more precise individualized dosing in children.

OBJECTIVE: To systematically evaluate the current status of apathy in dementia patients and its associated factors.
METHODS: We searched Chinese and English databases to collect studies on the associated factors of apathy in patients with dementia from inception to March 14, 2023. Two researchers independently screened the literature, evaluated the quality, and extracted the data RESULTS: A total of 20 studies were included, and the incidence of apathy in patients with dementia ranged from 21 % to 90 %. According to the model of apathy proposed by Massimo in 2018, the associated factors were divided into individual factors for dementia patients, caregiver factors, and environmental factors. The individual factors of apathy in patients with dementia mainly include demographic characteristics, the severity of cognitive impairment, a combination of other behavioral and psychological symptoms of dementia, acute medical problems or adverse drug reactions, unmet needs, and malnutrition. Caregiver factors mainly include emotional expressions of hostility or criticism towards dementia patients and caregivers\' expectations for a better life in the future. Environmental factors mainly include too high or too low stimulation and a lack of daytime activities CONCLUSIONS: Existing studies have shown that the incidence of apathy in dementia patients is high and is affected by multi-dimensional factors. There are more studies on individual factors in dementia patients and fewer studies on caregivers and environmental factors. In the future, a large number of high-quality studies are needed to demonstrate the mechanism of apathy in dementia patients and to find more related factors.

Diabetic retinopathy (DR) is one of the leading causes of adult blindness in the United States. Although studies applying traditional statistical methods have revealed that heavy metals may be essential environmental risk factors for diabetic retinopathy, there is a lack of analyses based on machine learning (ML) methods to adequately explain the complex relationship between heavy metals and DR and the interactions between variables. Based on characteristic variables of participants with and without DR and heavy metal exposure data obtained from the NHANES database (2003-2010), a ML model was developed for effective prediction of DR. The best predictive model for DR was selected from 11 models by receiver operating characteristic curve (ROC) analysis. Further permutation feature importance (PFI) analysis, partial dependence plots (PDP) analysis, and SHapley Additive exPlanations (SHAP) analysis were used to assess the model capability and key influencing factors. A total of 1042 eligible individuals were randomly assigned to two groups for training and testing set of the prediction model. ROC analysis showed that the k-nearest neighbour (KNN) model had the highest prediction performance, achieving close to 100% accuracy in the testing set. Urinary Sb level was identified as the critical heavy metal affecting the predicted risk of DR, with a contribution weight of 1.730632 ± 1.791722, which was much higher than that of other heavy metals and baseline variables. The results of the PDP analysis and the SHAP analysis also indicated that antimony (Sb) had a more significant effect on DR. The interaction between age and Sb was more significant compared to other variables and metal pairs. We found that Sb could serve as a potential predictor of DR and that Sb may influence the development of DR by mediating cellular and systemic senescence. The study revealed that monitoring urinary Sb levels can be useful for early non-invasive screening and intervention in DR development, and also highlighted the important role of constructed ML models in explaining the effects of heavy metal exposure on DR.

UNASSIGNED: Depressive symptoms are often experienced by patients with arthritis and are correlated with poor health outcomes. However, the association between depressive symptoms and multidimensional factors (sociodemographic characteristics, health conditions, health behaviors, and social support) among older patients with arthritis in China remains poorly understood. This study aimed to explore the prevalence of depressive symptoms in older patients with arthritis in eastern China and identify the associated factors.
UNASSIGNED: We analyzed data of 1,081 older patients with arthritis using secondary data from 2014 to 2020 from a community-based ongoing study initiated in 2014 in eastern China. The prevalence of depressive symptoms was calculated, and univariate and multilevel logistic regression analyses were used to identify the associated factors.
UNASSIGNED: The mean age of older patients with arthritis was 69.16 ± 7.13 years; 42.92% were men and 57.08% were women. The prevalence of depressive symptoms in older patients with arthritis was 14.99% (95% confidence interval: 12.91-17.26%), about 1.8 times higher than that in older adults without arthritis (8.49%, p < 0.001). Multilevel logistic regression identified perception of poor economic status (odds ratio [OR] = 5.52, p < 0.001), multimorbidity (OR = 1.96, p = 0.001), limitations in activities of daily living (OR = 2.36, p = 0.004), and living alone (OR = 3.13, p = 0.026) as factors positively associated with depressive symptoms. Patients diagnosed with arthritis at an older age had lower odds of experiencing depressive symptoms (OR = 0.67, p = 0.046).
UNASSIGNED: Screening for depressive symptoms is essential among older patients with arthritis, especially those who perceive themselves as having a poor economic status, are diagnosed at an earlier age, have multimorbidity, have limitations in activities of daily living, and live alone. The associations of age at arthritis diagnosis and dietary behaviors with depressive symptoms require further research.

BACKGROUND: Job crafting is defined as a series of proactive behaviors exhibited by employees in order to balance work resources and needs, which has a significant positive impact on the nurses. It is necessary to find the core factors that influence the job crafting, as emergency nurses deal with the most complex tasks, so as to improve their job satisfaction.
OBJECTIVE: To investigate the core factors of job crafting among emergency nurses.
METHODS: A cross-sectional design was used in the study. A total of 255 nurses were recruited from two hospitals in Zhengzhou and Shenzhen, China in December 2021. 255 nurses completed an online questionnaire. Hierarchical regression models and fsQCA models were used to explore the factors influencing job crafting among emergency nurses and helped us to identify core factors.
RESULTS: The hierarchical regression model and the fsQCA model found that the occupational benefit, psychological empowerment, and research experience were the core factors affecting their job crafting. Job involvement was not significant in the regression model, but the QCA model indicated that it needs to be combined with other factors to impact on job crafting. The QCA model uncovered seven key conditional configurations that led to high and low job crafting among emergency nurses, explaining 80.0% of the results for high job crafting and 82.6% of the results for the low job crafting, respectively.
CONCLUSIONS: The results of this study provide valuable insights into the job crafting experienced by emergency nurses. Junior emergency nurses should be granted a high level of psychological empowerment without assigning them overly complex tasks, such as research tasks, as these challenges can stop their job crafting. Intermediate and senior emergency nurses, on the other hand, can be assigned research tasks coupled with high psychological empowerment to enhance their job crafting.