Design and validation of a predictive model for determining the risk of developing fibromyalgia.

OBJECTIVES: Fibromyalgia is a prevalent disease of unknown aetiology and is difficult to diagnose. Despite the availability of the American College of Rheumatology criteria for diagnosis, it continues to be a challenge in the field of primary health care in terms of identifying individuals with susceptibility to developing the disease. The aim of this study is to design and validate a predictive model of fibromyalgia in subjects with a history of chronic pain. METHODS: This multicentre observational retrospective cohort study was performed on patients aged >18 years, who visited four primary health centres between 2017 and 2020, with a diagnosis of fibromyalgia or arthritis. The Bootstrapping resampling method was used for the validation of the model. RESULTS: A total of 198 subjects with fibromyalgia (93 with osteoarthritis, 20 with other types of arthritis, 4 with rheumatoid arthritis) and 120 without fibromyalgia (116 with osteoarthritis, 23 with other types of arthritis, 7 with rheumatoid arthritis) participated in the study. The predictive factors of the final model were self-reported age at onset of symptoms, first-line family history of neurological diseases, exposure to levels of stress, history of post-traumatic acute emotional stress, and personal history of chronic widespread pain prior to diagnosis, comorbidity, and pharmacological prescription during the year of diagnostic confirmation. The predictive capacity adjusted by Bootstrapping was 0.972 (95% CI: 0.955-0.986). CONCLUSIONS: The proposed model showed an excellent predictive capacity. The risk calculator designed from the predictive model allows health professionals to have a useful tool to identify subjects at risk of developing fibromyalgia.

Estudio descriptivo de la tipología de pacientes atendidos en un programa de enfermeras de enlace / Descriptive study of the type of patient cared for in a link-nursing program

Objetivo. Determinar la tipología de los pacientes atendidos en un programa de enfermería de enlace de ámbito urbano. Métodos. Estudio observacional y descriptivo realizado en el Hospital Clínic de Barcelona. La población de estudio fueron los pacientes hospitalizados en los institutos de Traumatología, Medicina Interna, Cardiología, Cirugía Vascular y Unidad Poscoronaria. La recogida de datos se obtuvo mediante el registro de los pacientes incluidos en el programa entre noviembre de 2006 y abril de 2008. Se analizaron variables sociodemográficas (género, edad, motivo de ingreso, instituto en el que estuvo hospitalizado, días de estancia hospitalaria, centro de atención primaria [CAP] de referencia, destino del paciente al alta hospitalaria) y necesidades físicas (índice de dependencia de Barthel y recomendaciones de las enfermeras de enlace a los CAP de referencia). Resultados. De 2.040 pacientes elegibles, se analizó la información de 2.025 pacientes (99,26%). Quince pacientes fueron excluidos porque no tenían la información completa para el análisis de los datos. Resultados. La media de edad en los hombres fue de 73,55 años y en las mujeres fue de 66,53 años (p<0,01). Noventa y dos hombres (9,10%) y 61 mujeres (6,02%) mostraron dependencia severa (p<0,01). La media de días de estancia en los hombres fue de 9,7 y en las mujeres fue de 9,65 (p<0,01). En 571 hombres (56,48%) y 605 mujeres (59,66%) no se requirió la continuidad de cuidados asistenciales en el domicilio. Conclusiones. La mayoría de la población fue anciana con un índice de dependencia leve, lo que demuestra que esta población es susceptible de requerir un seguimiento después del alta hospitalaria, a pesar de que el índice de dependencia de Barthel no sea severo o total(AU)

Objective. Determine the type of patients in a program of link nursing of the urban area. Methods. Descriptive observational study conducted at the Hospital Clinic de Barcelona (HCB). The study population were patients hospitalized in the Institute of Orthopedics, Internal Medicine, Cardiology, Vascular Surgery and Post Coronary Care. The data was obtained through the registration of patients enrolled in the program between November 2006 and April 2008. We analyzed sociodemographic variables (gender, age, reason for admission, the institution where hospitalized, hospital stay, primary care (PAC) reference destination of the patient on discharge from hospital) and physical variables (Barthel dependency score and recommendations of the link nurse to reference PAC). Results. Information was analysed from 2025 (99.26%) out of 2040 eligible patients. Fifteen were excluded because they did not have complete information for data analysis. The average age for men was 73.55 years and 66.53 years for women (P<0.01). There was sever dependence in 92 (9.10%) males and 61 (6.02%) women (P<0.01). The average number of hospital stays for men was 9.7 and 9.65 for women (P<0.01). Continuity of care at home was not required in 571 (56.48%) males and 605 (59.66%). Conclusions. The majority of the population was elderly with an index of slight dependence, demonstrating that this population need continuous monitoring of their progress after discharge, although the Barthel index was not severe or total(AU)

[Descriptive study of the type of patient cared for in a link-nursing program]. / Estudio descriptivo de la tipología de pacientes atendidos en un programa de enfermeras de enlace.

OBJECTIVE: Determine the type of patients in a program of link nursing of the urban area. METHODS: Descriptive observational study conducted at the Hospital Clinic de Barcelona (HCB). The study population were patients hospitalized in the Institute of Orthopedics, Internal Medicine, Cardiology, Vascular Surgery and Post Coronary Care. The data was obtained through the registration of patients enrolled in the program between November 2006 and April 2008. We analyzed sociodemographic variables (gender, age, reason for admission, the institution where hospitalized, hospital stay, primary care (PAC) reference destination of the patient on discharge from hospital) and physical variables (Barthel dependency score and recommendations of the link nurse to reference PAC). RESULTS: Information was analysed from 2025 (99.26%) out of 2040 eligible patients. Fifteen were excluded because they did not have complete information for data analysis. The average age for men was 73.55 years and 66.53 years for women (P<0.01). There was sever dependence in 92 (9.10%) males and 61 (6.02%) women (P<0.01). The average number of hospital stays for men was 9.7 and 9.65 for women (P<0.01). Continuity of care at home was not required in 571 (56.48%) males and 605 (59.66%). CONCLUSIONS: The majority of the population was elderly with an index of slight dependence, demonstrating that this population need continuous monitoring of their progress after discharge, although the Barthel index was not severe or total.