The Italian Validation of the Healthcare Professional Humanization Scale for Nursing.

Purpose: The Healthcare Professional Humanization Scale (HUMAS) is a measure of the evaluation of the humanization of care in nursing professions. Despite being validated for the Spanish language, there still needed validation in Italian, which seems essential considering the cultural differences. Aim: We aimed to test the validity and reliability of the HUMAS with an Italian sample of registered nurses. Methods: The present study used cross-sectional data from 300 nurses that completed the survey. The study's main phases were (a) construction of the Italian version; (b) testing and analyzing the psychometric properties of the scale. The exploratory factor analysis and the Content Validity Index (CVI) were performed. Cronbach's alpha and test-retest were used to determine the reliability. Findings: The final Italian version of HUMAS (HUMAS-I) comprised 19 items grouped into five correlated latent factors, accounting for 68.4% of the variance. Additionally, it exhibited a satisfactory Cronbach's alpha for each latent component and an average CVI for the entire scale of 0.68. Conclusions: The HUMAS-I shows acceptable psychometric proprieties as the original Spanish version. Therefore, it could be an advantageous instrument for use in nursing practice and research.

Chronic Non-cancer Pain Management in a Tertiary Pain Clinic Network: a Retrospective Study.

INTRODUCTION: Chronic pain is a distressing condition that should be treated in specialized pain clinics. Pain clinics offer a holistic, evidence-based approach, including pharmacological, complementary, and invasive treatments. This study aimed to provide preliminary information regarding chronic pain treatments and identify reasons for accessing an important hub-spoke pain clinic network. METHODS: A retrospective multicenter cross-sectional study was carried out. A total of 1606 patients' records were included. Patients were selected from the 26 pain clinics of a single region in Italy. Univariate and multivariate logistic regression models were used. RESULTS: Multivariate models showed that the use of opioids were considered effective for severe or moderate pain [odds ratio (OR) 0.41; 95% 0.33-0.51], while the use of invasive treatments (OR 2.45; 95% 1.95-3.06) and the use of complementary therapy (OR 1.87; 95% 1.38-2.51) were associated with severe or moderate pain. Overall, age, sex, nonsteroidal anti-inflammatory drugs (NSAID) use, a combination of NSAIDs, complementary therapies, and a combination of opioids and invasive treatments did not seem to be significantly associated with the nature of pain. Multivariate models confirmed that clinical parameters such as the nature of pain, multi-diagnosis, more than one site of pain, treatments, and general practitioner, but not the severity of pain and use of invasive treatments, had an impact on the choice of a pain clinic. CONCLUSION: Opioids are useful in managing moderate or severe chronic pain. Multimodal approaches are used for the management of chronic pain. Moreover, it is not clear how patients are addressed to access different pain clinics (spoke versus hub) networks. More widespread adoption is needed for an interdisciplinary approach to managing chronic pain and adopting guideline recommendations, and rigorous research is required to provide more substantial evidence and support clinical practice.

MiR-22, a serum predictor of poor outcome and therapy response in diffuse large B-cell lymphoma patients.

Diffuse large B-cell lymphoma (DLBCL) is an aggressive, heterogeneous neoplasm where prognostication and therapeutic decision are challenging. The available prognostic tools are not able to identify all patients refractory to treatment. MicroRNAs, small RNAs frequently deregulated in cancer, stably circulate in biofluids, representing interesting candidates for non-invasive biomarkers. Here we validated serum miR-22, an evolutionarily conserved microRNA, as a prognostic/predictive biomarker in DLBCL. Moreover, we found that its expression and release from DLBCL cells are related to therapy response and adversely affect cell proliferation. These results suggest that miR-22 is a promising complementary or even independent non-invasive biomarker for DLBCL management.

Anthropometric, metabolic and molecular determinants of human epidermal growth factor receptor 2 expression in luminal B breast cancer.

Genomic and trascriptomic profiling has recently contributed details to the characterization of luminal B breast cancer. We explored the contribution of anthropometric, metabolic, and molecular determinants to the multifaceted heterogeneity of this breast cancer subtype, with a specific focus on the association between body mass index (BMI), pre-treatment fasting glucose, hormone receptors, and expression of human epidermal growth factor receptor 2 (HER2). Extensively annotated specimens were obtained from 154 women with luminal B breast cancer diagnosed at two Italian comprehensive cancer centres. Participants' characteristics were descriptively analyzed overall and by HER2 status (positive vs. negative). BMI (<25 vs ≥25), pre-treatment fasting glucose (