Factors associated to avascular necrosis of the femoral head and non-union in patients younger than 65 years old with displaced femoral neck fractures treated with reduction and internal fixation.

Pocos estudios han evaluado el tratamiento de las fracturas desplazadas de cuello femoral en pacientes menores de 65 años de edad, y no han sido claramente definidos los factores de riesgo para necrosis avascular o no-unión dentro de este rango de edad. Para determinar los factores asociados a la necrosis avascular de la cabeza femoral (AVN) y no-unión en pacientes menores de 65 años de edad con fracturas desplazadas del cuello femoral tratados con reducción y fijación interna, se realizó un estudio retrospectivo de 29 fracturas desplazadas del cuello femoral en 29 pacientes consecutivos tratados en una sola institución. La influencia de la edad, la energía del trauma, tipo de reducción, y el tiempo entre la fractura y el tratamiento en desarrollo de la AVN y no-unión fueron evaluados. Los pacientes que desarrollaron NAV fueron significativamente mayores y sufrieron un trauma de más baja energía que en los casos sin AVN. Ninguna variable fue asociada con la no-unión. La regresión logística determinó que sólo la edad se asoció de forma independiente a NAV. La edad es un buen predictor para el desarrollo de NAV, con un C-estadístico de 0.861, y un mejor corte-determinado en 53,5 años. Conclusión: Los pacientes de entre 53,5 y 65 años presentan un riesgo más alto de NAV. La artroplastia primaria se debe considerar en este subgrupo.

Prevalence and factors associated with dysmenorrheal in health science students

Introduction: Dysmenorrhea has a prevalence between 60 and 93%. Different factors have been associated with it, such as age at menarche, body mass index, exercise, smoking and maternal history of dysmenorrhea, among others. Materials and methods: A cross-sectional study was conducted, based on an anonymous survey applied to a random sample of 127 women from the school of medicine and psychology at the Universidad Del Rosario. Results: The prevalence of  dysmenorrhea was 73%. 67% of participants presenting with menstrual pain, reported having taken pain relief medication (66.7% self medicated). 32.5% of respondents with dysmenorrhea were absent from their academic or social work, with a percentage of school absenteeism due to pain of 74.5% in at least one day. The risk of dysmenorrhoea was 2.36 times higher in women who had mothers with this history (OR = 2.36, 95% CI 1.03 to 5.40). No associations with other factors were found. Conclusions: Dysmenorrhea is a disease with a high prevalence and significant impact on school absenteeism. Maternal history of dysmenorrhea was the only factor positively associated in this study.

Description of the risk factors for relapse in patients diagnosed with severe mental disorders

Objective: The objective of this paper is to describe the population served in mental health institutionsfor mental illness relapse, and the process of identifying risk factors in relapsing patientsdiagnosed with severe mental illness. To this end a descriptive exploratory multicenter, multistageepidemiological study was carried out in mental health institutions of the Order of San Juan deDios Hospital (OHSJD) with hospitalized relapsing patients with a diagnosis of severe mentaldisorder. This study comes from a working network of Psychology professionals in the OHSJDnationwide. Materials and methods: The population sample was of 1005 patients diagnosed withsevere mental disorders, who had presented relapse during the last year. First, the characterizationof the general population was conducted; then, it was narrowed down to the centers, taking intoaccount similarities and differences found according to the clinical and demographic variables.Results: Major risk factors for relapse found in patients diagnosed with severe mental disorderswere: having between 38 and 58 years of age, being female, single, graduates, unemployed, witha prevalence of bipolar affective disorder diagnosis, number of hospitalizations between 2 and10, number of drugs at the time of leaving hospital 2 to 6, with severe difficulties relating withothers and difficulties in adherence to treatment. The need for a caregiver was also found, as wellas a limited number of received psychological interventions. How the system of beliefs affects thedisease and the poor adherence to treatment was identified. Conclusions: These results indicatethe requirement of a design of team intervention strategies, ranging from the assessment team(home), definition of therapeutic action plans (for) and the posthospitalizacion (egress) following.There is a poor support network and limited adherence to comprehensive treatment.