Impact of Anal Fissure on Neuroticism, Extraversion, Openness to Experience, Agreeableness, and Conscientiousness: A Case-Control Study.

INTRODUCTION: Scientific literature on determining patterns of personality traits in patients with anal fissure is limited. OBJECTIVES: To determine whether certain common psychological traits are associated with anal fissure. METHODS: A case-control study was carried out in Spain in 2016-2017. Patients with acute or chronic idiopathic anal fissure (n = 35) and controls (n = 32) were recruited. The main outcome measures were those defined in the NEO-FFI questionnaire, validated in Spain, which was administered to all the participants. This questionnaire evaluates the following traits: neuroticism, extraversion, openness, agreeableness, and conscientiousness. RESULTS: Three significant traits were noted: (1) greater neuroticism in the cases (OR 1.19, 95% CI 1.08-1.32, p < 0.001, AUC 0.77), (2) greater openness to experience in the controls (OR 0.90, 95% CI 0.83-0.98, p = 0.015, AUC 0.69), and (3) greater conscientiousness in the controls (OR 0.91, 95% CI 0.83-1.00, p = 0.049, AUC 0.69). CONCLUSIONS: The cases mainly presented higher levels of neuroticism and lower levels of openness to experience and conscientiousness. Further studies are needed to corroborate our results.

Risk Analysis for Patient Safety in Surgical Departments: Cross-Sectional Design Usefulness.

(1) Background: Identifying and measuring adverse events (AE) is a priority for patient safety, which allows us to define and prioritise areas for improvement and evaluate and develop solutions to improve health care quality. The aim of this work was to determine the prevalence of AEs in surgical and medical-surgical departments and to know the health impact of these AEs. (2) Methods: A cross-sectional study determining the prevalence of AEs in surgical and medical-surgical departments was conducted and a comparison was made among both clinical areas. A total of 5228 patients were admitted in 58 hospitals in Argentina, Colombia, Costa Rica, Mexico, and Peru, within the Latin American Study of Adverse Events (IBEAS), led by the Spanish Ministry of Health, the Pan American Health Organization, and the WHO Patient Safety programme. (3) Results: The global prevalence of AEs was 10.7%. However, the prevalence of AEs in surgical departments was 11.9%, while in medical-surgical departments it was 8.9%. The causes of these AEs were associated with surgical procedures (38.6%) and nosocomial infections (35.4%). About 60.6% of the AEs extended hospital stays by 30.7 days on average and 25.8% led to readmission with an average hospitalisation of 15 days. About 22.4% resulted in death, disability, or surgical reintervention. (4) Conclusions: Surgical departments were associated with a higher risk of experiencing AEs.

A scoring system to predict breast cancer mortality at 5 and 10 years.

Although predictive models exist for mortality in breast cancer (BC) (generally all cause-mortality), they are not applicable to all patients and their statistical methodology is not the most powerful to develop a predictive model. Consequently, we developed a predictive model specific for BC mortality at 5 and 10 years resolving the above issues. This cohort study included 287 patients diagnosed with BC in a Spanish region in 2003-2016. MAIN OUTCOME VARIABLE: time-to-BC death. Secondary variables: age, personal history of breast surgery, personal history of any cancer/BC, premenopause, postmenopause, grade, estrogen receptor, progesterone receptor, c-erbB2, TNM stage, multicentricity/multifocality, diagnosis and treatment. A points system was constructed to predict BC mortality at 5 and 10 years. The model was internally validated by bootstrapping. The points system was integrated into a mobile application for Android. Mean follow-up was 8.6 ± 3.5 years and 55 patients died of BC. The points system included age, personal history of BC, grade, TNM stage and multicentricity. Validation was satisfactory, in both discrimination and calibration. In conclusion, we constructed and internally validated a scoring system for predicting BC mortality at 5 and 10 years. External validation studies are needed for its use in other geographical areas.