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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.
Folia Med (Plovdiv) ; 65(5): 770-774, 2023 Oct 31.
Artículo en Inglés | MEDLINE | ID: mdl-38351759

RESUMEN

INTRODUCTION: Metabolic disorders are a public health issue because of the complications they cause, but they are also a major risk factor for the onset of gout.


Asunto(s)
Diabetes Mellitus , Gota , Enfermedades Metabólicas , Humanos , Gota/complicaciones , Gota/epidemiología , Comorbilidad , Diabetes Mellitus/epidemiología , Factores de Riesgo
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
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