Relationship between personality traits and sexual function in symptomatic postmenopausal women.

INTRODUCTION: Female sexual function relies on a complex interplay of physical, psychosocial, and neurobiological factors. Over the last decades, increasing attention has been paid to the influence of personality traits on general health and many aspects of quality of life, including sexuality. OBJECTIVE: To assess whether dimensions of the personality are related to the domains of sexual function (desire, arousal, lubrication, orgasm, satisfaction, and pain) in symptomatic postmenopausal women. Mood was also investigated to explore its association with female sexual dysfunction (FSD). METHODS: Validated questionnaires to assess sexual function [the Female Sexual Functioning Index (FSFI)], mood [the State-Anxiety Inventory (STAI), and Zung Self Rating Depression Scale (SDS)], and personality traits [the Tridimensional Personality Questionnaire (TPQ)] were filled in by 130 early postmenopausal women experiencing hot flushes (≥30/week). RESULTS: 61.5 % (n = 80) of the women had an FSFI total score lower than 26.55, the standard cut-off for FSD. A clinical state of anxiety was present in 53.8 % (n = 70), whereas only 12.3 % (n = 16) showed clinically relevant depressive symptoms. According to the FSFI cut-off score, women with sexual disorders had statistically significantly higher levels of anxiety, depression (p < 0.001 for both), and harm avoidance (HA) (p = 0.004) than women without such disorders. Significantly higher levels of anxiety were found in women in the lower quartile (LQ) of the distribution of the total FSFI score than in women in both the interquartile range (IQR) and in the upper quartile (UQ) (p < 0.05). Moreover, women in the UQ had a lower grade of depression and HA than others (p < 0.05). The Sobel test showed that the personality trait HA significantly mediated the relationship between anxiety and FSFI total score (Z = -2.19, p < 0.05) and between depression and FSFI total score (Z = -2.35, p < 0.05). CONCLUSIONS: The present data suggest the personality trait HA is relevant to sexual function and mediates the impact of mood on FSD in symptomatic menopausal women. In clinical practice, the use of validated psychometric tools for mood screening is useful to establish appropriate diagnosis and treatment of sexual disorders in menopausal women. Moreover, the assessment of personality traits could provide additional information that directs clinicians towards an increasingly tailored and multidimensional treatment of FSD.

Menopause and female sexual dysfunctions.

Biological and psycho-relational factors contribute equally to the development of sexual symptoms and associated distress, a key element to diagnose female sexual dysfunctions (FSDs) in menopausal women. Consultation at midlife represents an optimal time to discuss sexual life, and healthcare providers have to be proactive in rising the conversation, as patients may not report their sexual concerns spontaneously. An accurate sexual history is essential to characterize the primary symptom, determine the impact on patient's quality of life and identify risk and precipitating factors. Among FSDs, hypoactive sexual desire disorder is very frequent at midlife together with genitourinary syndrome of menopause, a chronic condition negatively affecting the full sexual response. A multidimensional approach targeted to the patient's characteristics, goals and expectations is mandatory and should start from educative counselling and correction of modifiable risk factors. When specific treatments are required, they should include non-pharmacological and pharmacological options, often prescribed in combination to address concomitantly the biological and psychosocial components of FSDs.

Translation, Cultural Adaptation and Validation of the Standardized Cosmesis and Health Nasal Outcomes Survey (SCHNOS) in Italian.

BACKGROUNDS: Rhinoplasty necessarily concerns functional and cosmetic aspects, and outcomes of both should be assessed in each patient. There has been a lack in the literature in Italian for a comprehensive tool for assessing both aspects of rhinoplasty. The objective is to translate and validate the Standardized Cosmesis and Health Nasal Outcomes Survey (SCHNOS) into Italian. METHODS: Forward and back-translation was used. Content validity was evaluated by experts and by patient interviews. Internal consistency was assessed by a Cronbach's alpha. The structure validity was assessed by an exploratory factor analysis. RESULTS: Cognitive interviews of 10 rhinoplasty patients resulted in a good overall comprehension of the SCHNOS. Of the 411 respondents, 281 (32%) were women, and the average age was 33.6 (11.3) years. The alpha was excellent for both the obstruction domain (SCHNOS-O) (0.90) and the cosmetic domain (SCHNOS-C) (0.94). All the correlations between repeated measures were moderate to very strong. The exploratory factor analysis demonstrated unidimensionality of both the SCHNOS-O and the SCHNOS-C scores. CONCLUSIONS: The SCHNOS was successfully translated and validated in Italian and can be recommended for a clinical use among rhinoplasty patients. LEVEL OF EVIDENCE III: This journal requires that authors assign a level of evidence to each article. For a full description of these Evidence-Based Medicine ratings, please refer to the Table of Contents or the online Instructions to Authors www.springer.com/00266 .

BH-index: A predictive system based on serum biomarkers and ensemble learning for early colorectal cancer diagnosis in mass screening.

BACKGROUND AND OBJECTIVE: Colorectal cancer is one of the most common malignancies among the general population. Artificial Intelligence methodologies based on serum parameters are in continuous development to obtain less expensive tools for highly sensitive diagnoses. This study proposes a predictive system based on serum biomarkers and ensemble learning to predict colorectal cancer presence and the related TNM stage in patients. METHODS: We have selected 17 significant plasmatic proteins, i.e., Carcinoembryonic Antigen, CA 19-9, CA 125, CA 50, CA 72-4, Tissue Polypeptide Antigen, C-Reactive Protein, Ceruloplasmin, Haptoglobin, Transferrin, Ferritin, α-1-Antitrypsin, α-2-Macroglobulin, α-1 Acid Glycoprotein, Complement C4, Complement C3, and Retinol Binding Protein, regarding 345 patients (248 affected by the neoplastic disease). The proposed system consists of two predictors, i.e., binary and staging; the former predicts the presence/absence of cancer, while the latter identifies the related TNM stage (I, II, III, or IV). The experiments were conducted by deploying and comparing Random Forest, XGBoost, Support Vector Machine, and Multilayer Perceptron with feature selection based on Gini Importance and with dimensionality reduction via PCA. RESULTS: The results show that the system composed of XGBoost as binary and staging predictor reaches 91.30% accuracy, 90% sensitivity, and 93.33% specificity for the absence/presence outcome, while 66.66% accuracy for the staging response. With the expansion of the training set in favor of positive patients and majority voting, the system composed of the combination of Support Vector Machine, XGBoost, and Multilayer Perceptron as the binary predictor reaches 98.03% accuracy, 100% sensitivity, and 92.30% specificity, while the combination of Random Forest, XGBoost, and Multilayer Perceptron as staging predictor achieves 60% accuracy. The final system reaches, in terms of accuracy, 98.03%, and 66.66% for the binary and staging predictors, respectively. It was also found that the biomarkers which contribute most to the binary decision are Ceruloplasmin and α-2-Macroglobulin, while the least significant dimensions are CA 50 and α-1-Antitrypsin; instead, Carcinoembryonic Antigen and α-1 Acid Glycoprotein are the most significant to the staging decision. CONCLUSIONS: The present study proves the effectiveness of deploying serum biomarkers as feature dimensions for early colorectal cancer diagnosis and of using majority voting for noise reduction in the prediction.

Pre-admission acetylsalicylic acid therapy and impact on in-hospital outcome in COVID-19 patients: The ASA-CARE study.

BACKGROUND: Patients with coronavirus disease 2019 (COVID-19) exhibit high thrombotic risk. The evidence on a potential independent prognostic role of antiplatelet treatment in those patients is limited. The aim of the study was to evaluate the prognostic impact of pre-admission low-dose acetylsalicylic acid (ASA) in a wide series of hospitalized patients with COVID-19. METHODS: This cohort study included 984 COVID-19 patients stratified according to ASA intake before hospitalization: ASA+ (n = 253) and ASA- (n = 731). Patients were included in ASA+ group if they received it daily in the 7 days before admission. 213 (83%) were on ASA 100 mg daily. Primary endpoint was a composite of in-hospital death and/or need for respiratory support upgrade, secondary endpoints were in-hospital death and need for respiratory support upgrade. RESULTS: Mean age was 72 [62; 81] with 69% of male patients. ASA+ patients were significantly older, with higher prevalence of comorbidities. No significant differences regarding the degree of respiratory dysfunction were observed. At 30-day Kaplan-Meier analysis, ASA+ patients had higher survival free from the primary endpoint and need for respiratory support upgrade, conversely in-hospital death did not significantly differ between groups. At multivariate analysis ASA intake was independently associated with a lower probability of reaching primary endpoint (HR 0.697, 95% C.I. 0.525-0.924; p = 0.012). CONCLUSIONS: In COVID-19 patients undergoing hospitalization, pre-admission treatment with ASA is associated with better in-hospital outcome, mainly driven by less respiratory support upgrade.