Background: Frequent hand hygiene is essential for infection control among health care workers (HCWs) but may cause adverse skin effects. Purpose: To assess the relationships between frequent hand hygiene practices, skin symptoms, and microbiota alterations in HCWs. Methods: A comprehensive search of 7 databases was conducted to identify articles published between January 2014 and July 2024 in English and Chinese. Results: A total of 24 studies were included in the review. Frequent hand hygiene was associated with reduced microbial flora in 2 studies and high incidences of skin dryness, itching, peeling, erythema, fissures, burning, and pain in 18 studies. Fifteen studies linked frequent hand hygiene to eczema, dermatitis, acne, and folliculitis, while 1 study found higher Staphylococcus aureus detection in severe eczema cases. Conclusions: Prolonged frequent hand hygiene alters hand microbiota and induces various skin symptoms, necessitating attention to chronic occupational exposure among HCWs.
Epstein-Barr virus (EBV)-associated lymphomas can, on rare occasions, involve body cavities, making effusion cytology an important diagnostic tool. This mini-review explores the spectrum of EBV-related lymphomas that may be detected in serous fluids, including EBV-positive nodal T/NK-cell lymphoma (EBV + nT/NKCL), extranodal NK/T-cell lymphoma, primary effusion lymphoma, EBV-positive diffuse large B-cell lymphoma, and classic Hodgkin lymphoma. We present an index case of EBV + nT/NKCL with lymphomatous pleural effusion and discuss the cytologic features, differential diagnoses, and role of ancillary studies such as immunocytochemistry, EBER in situ hybridization, and molecular assays. Accurate diagnosis requires the integration of cytomorphologic, immunophenotypic, and molecular findings with clinical information to establish a definitive diagnosis and distinguish these aggressive lymphomas from reactive and non-hematologic mimics.
In a clinical context, there are increasing numbers of people with voiding dysfunction. To date, the methods of monitoring the voiding status of patients have included voiding diary records at home or urodynamic examinations at hospitals. The former is less objective and often contains missing data, while the latter lacks frequent measurements and is an invasive procedure. In light of these shortcomings, this study developed an innovative and contact-free technique that assists in clinical voiding dysfunction monitoring and diagnosis. Vibration signals during urination were first detected using an accelerometer and then converted into the mel-frequency cepstrum coefficient (MFCC). Lastly, an artificial intelligence model combined with uniform manifold approximation and projection (UMAP) dimensionality reduction was used to analyze and predict six common patterns of uroflowmetry to assist in diagnosing voiding dysfunction. The model was applied to the voiding database, which included data from 76 males aged 30 to 80 who required uroflowmetry for voiding symptoms. The resulting system accuracy (precision, recall, and f1-score) was around 98% for both the weighted average and macro average. This low-cost system is suitable for at-home urinary monitoring and facilitates the long-term uroflow monitoring of patients outside hospital checkups. From a disease treatment and monitoring perspective, this article also reviews other studies and applications of artificial intelligence-based methods for voiding dysfunction monitoring, thus providing helpful diagnostic information for physicians.
The rising incidence rate of prostate cancer (PCa) worldwide has become a public health concern. PCa has a multifactorial etiology, and the link between human papillomavirus (HPV) and PCa has been widely investigated by numerous case-control studies. This age-matched, case-control study included 143 PCa patients and 135 benign prostatic hyperplasia (BPH) patients, with prostatic specimens testing negative for malignancy, as control. Study participants were recruited from four major hospitals in Taoyuan City, Taiwan, period 2018-2020, looking into HPV infection and other PCa risk factors, including dietary habits, family history, personal lifestyle, and sexual behavior. Multiple logistic regression analysis and forward stepwise selection analysis were conducted to identify potential risk factors for PCa. HPV DNA was found in 10 of the 143 PCa cases (7%) and 2 of the 135 BPH controls (1.5%) (OR = 6.02, 95% CI = 1.03-30.3, p = 0.046). This association was slightly significant, and furthermore, high risk HPV was not found to be associated with PCa. Higher body mass index (BMI) (OR = 1.15, 95% CI = 1.05-1.27, p = 0.003), more total meat consumption (OR = 2.74, 95% CI = 1.26-5.94, p = 0.011), exhibited association to PCa. However, PCa family history only presented a statistically significant difference by forward stepwise analysis (OR = 3.91, 95% CI = 1.17-13.12, p = 0.027). While much focus has been on the association between HPV and PCa, the results of this study indicate that more efforts should be directed towards investigating dietary habits, personal lifestyle and family history as factors for PCa. These results could serve as a basis for designing PCa prevention strategies.
