The analysis of comorbidities in geriatric patients with proximal femur fracture

Autor: Sergiy Maznyakov, Dmitriy Cherepov, Vladimir Babalyan, Andrii Kalchenko, Alexander Khvysyuk, Tamara Hurbanova
Jazyk: angličtina
Rok vydání: 2017
Předmět:
Zdroj: ScienceRise: Medical Science, Vol 0, Iss 3 (11), Pp 20-23 (2017)
ISSN: 2519-4798
Popis: The frequency of proximal femur fractures is 35 – 40 % in the structure of different skeletal fractures. Elderly people, usually having several somatic diseases, are the main contingent of patients with fractures of this localization. Comorbidities and general condition of patients should be considered for treatment strategy determination. Aim. To study comorbidities structure in geriatric patients with proximal femur fractures and to estimate comorbidities influence on the choice of the treatment strategy. Materrials and methods. 568 case histories of patients, hospitalized in the trauma department of Kharkiv clinical multy-field hospital № 17 with proximal femur fractures during 2008 – 2014, were analyzed. Results. Most of the patients had low energy trauma. 568 patients were included in the research; 205 (36.09 %) of them were males, and 363 (63.91 %) – females. The age of patients ranged from 62 to 97 (the average age 79.2±9.1). Comorbidities were found in 378 patients (66.5 %). The time from the moment of injury to hospitalization ranged from 30 minutes to 4 weeks (25 hours on the average). The average number of bed capacity was 17 days (from 1 to 84 days). In 72.7 % of cases coronary heart disease was found, in 47.6 % - hypertension, and diabetes mellitus – in 10.8 %. One comorbidity was found in 131 patients (34.65%), two comorbidities – in 153 patients (40.47 %), three or more was found in 84 patients (22.22 %). The surgical treatment was applied in 29.5 7% of cases, conservative – in 70.42 % of cases. Conclusion. The elderly patients in 66.5% of cases have comorbidities, and cardiovascular pathology is the most common. The patients with the giving fractures need more detailed examination to select the optimal treatment strategy
Databáze: OpenAIRE