Your browser doesn't support javascript.
loading
Mostrar: 20 | 50 | 100
Resultados 1 - 3 de 3
Filtrar
Más filtros










Base de datos
Intervalo de año de publicación
1.
Mediterr J Rheumatol ; 34(3): 327-331, 2023 Sep.
Artículo en Inglés | MEDLINE | ID: mdl-37941869

RESUMEN

Introduction: The costs of treating an elderly patient with gout are largely related to the treatment of concomitant pathological conditions and complications. Determining the costs of treating the disease is made by clinical and economic analysis, the task of which is to calculate the "cost of the illness". Material and methods: A descriptive, selective study of 237 patients with gout. In order to study the clinical characteristics of gout in the elderly, all those included in the study was divided according to age at the time of examination: group I made up of patients with gout up to and including 59 years n=91, average age 48.1±7.4 years (from 30 years to 59 years), group II - over the age of 60 years inclusive n=146, average age 69.2±6.0 years, (60-86 years, p<0.01). Results: For calculations, the hospitalisation rate during the year was used, which had significant differences in groups: in group I it was 0.7; in group II - 1.2 (p=0,001). The costs of clinical management of gout and each of the diseases that accompany it for 1 calendar year have been determined. Conclusions: The direct costs for the treatment of patients with gout, calculated taking into account National Clinical Protocol and comorbid pathology, increase significantly with the age of the patients: the average cost per year of the treatment of gout in patients of mature age was 1337 Euro without and 7320 Euro taking into account the concomitant pathology, and in the elderly 2067 Euro and, respectively, 15230 Euro.

2.
Arch Osteoporos ; 16(1): 87, 2021 06 05.
Artículo en Inglés | MEDLINE | ID: mdl-34089424

RESUMEN

Age-specific intervention and assessment thresholds based on FRAX® were developed for eight Eurasian countries participating in the EVA study (Armenia, Belarus, Georgia, Moldova, Kazakhstan, the Kyrgyz Republic, the Russian Federation, and Uzbekistan). The intervention thresholds (major osteoporotic fracture) ranged from 3.6 (Armenia and Georgia) to 12.3% (Uzbekistan) for people at age 50 years, and from 16 (Armenia) to 27% (Belarus) at the age of 90 years. These thresholds enable a substantial advance in the ease of detection of individuals at high fracture risk. INTRODUCTION: The purpose of this study was to derive and compare FRAX-based intervention and BMD assessment thresholds for 8 Eurasian countries in the EVA study. METHODS: The intervention threshold (IT) was set at a 10-year probability of a major osteoporotic fracture (MOF), calculated without BMD, equivalent to a woman with a prior fragility fracture but no other clinical risk factors, and a body mass index (BMI) of 25.0 kg/m2. The lower assessment threshold was set at a 10-year probability of a MOF in women with BMI of 25.0 kg/m2, without previous fracture or other clinical risk factors. The upper assessment threshold was set at 1.2 times the IT. RESULTS: The age-specific intervention thresholds ranged from 3.6 (Armenia and Georgia) to 12.3% (Uzbekistan) for men and women at the age of 50 years and from 16 (Armenia) to 27% (Belarus) at the age of 90 years. The difference between countries was most evident at younger ages and become progressively less with advancing age. CONCLUSIONS: For the 8 Eurasian countries, the newly established FRAX-based intervention thresholds provide an opportunity to improve the clinical detection of both men and women with a high risk of fracture and improve treatment rates.


Asunto(s)
Densidad Ósea , Fracturas Osteoporóticas , Anciano de 80 o más Años , Armenia , Preescolar , Femenino , Georgia , Humanos , Kazajstán , Kirguistán , Masculino , Persona de Mediana Edad , Moldavia , República de Belarús , Medición de Riesgo , Factores de Riesgo , Federación de Rusia , Uzbekistán
3.
Arch Osteoporos ; 15(1): 13, 2020 01 28.
Artículo en Inglés | MEDLINE | ID: mdl-31993755

RESUMEN

Retrospective population-based survey in 2 regions of the Republic of Moldova determined the incidence of fractures at the hip, proximal humerus and distal forearm. The estimated number of such fractures nationwide for 2015 was 11,271 and is predicted to increase to 15,863 in 2050. The hip fracture rates were used to create a FRAX model to help guide decisions about treatment. OBJECTIVE: This paper describes the epidemiology of osteoporotic fractures in Republic of Moldova that was used to develop the country-specific fracture prediction FRAX® tool. METHODS: We carried out a retrospective population-based survey in 2 regions of the Republic of Moldova (Anenii Noi district and Orhei district) representing approximately 6% of the country's population. We identified hip, forearm and humerus fractures in 2011 and 2012 from hospital registers and primary care sources. Age- and sex-specific incidence of hip fracture and national mortality rates were incorporated into a FRAX model for Moldova. Fracture probabilities were compared with those from neighbouring countries having FRAX models. RESULTS: The incidence of hip fracture applied nationally suggested that the estimated number of hip fractures nationwide in persons over the age of 50 years for 2015 was 3911 and is predicted to increase by 60% to 6492 in 2050. Hip fracture incidence was a good predictor of forearm and humeral fractures. FRAX-based probabilities were higher in Moldova than neighbouring countries (Ukraine and Romania). CONCLUSION: The FRAX model should enhance accuracy of determining fracture probability among the Moldavan population and help guide decisions about treatment.


Asunto(s)
Técnicas de Apoyo para la Decisión , Traumatismos del Antebrazo/epidemiología , Fracturas de Cadera/epidemiología , Fracturas del Húmero/epidemiología , Fracturas Osteoporóticas/epidemiología , Anciano , Femenino , Humanos , Incidencia , Masculino , Persona de Mediana Edad , Moldavia/epidemiología , Probabilidad , Sistema de Registros , Estudios Retrospectivos , Medición de Riesgo , Rumanía/epidemiología , Ucrania/epidemiología
SELECCIÓN DE REFERENCIAS
DETALLE DE LA BÚSQUEDA