COMORBID DISEASES IN PATIENTS WITH PURULENT-SURGICAL PATHOLOGY

Karpin Vladimir Aleksandrovich, Shuvalova Olga Ivanovna, Sokolov Vladislav Denisovich

The aim of the work is to assess the prevalence of comorbid diseases in patients with purulent–surgical pathology in the urbanized North on the example of Surgut. Methods. The structure of comorbid pathology was determined with a continuous retrospective sample of 822 case histories of patients undergoing treatment in the purulent-surgical department. Results. The prevalence of comorbid pathology was 57% (n = 471). The increase in the number of patients with multiple pathology correlated with age. In young patients under 44 years of age, the prevalence of comorbid pathology was 21.4%, in middle age – 74%, and in the elderly – already 95% (p = 0.000). Young men predominated among patients with isolated surgical pathology (76%, p = 0.000). Significantly predominant comorbid diseases were identified: hypertension – 42%; diabetes mellitus – 38%; hepatitis – 26%; coronary heart disease – 16%; HIV – 15%. In patients under the age of 44 (n = 216), viral hepatitis C (20%) and HIV infection (15%) were more often associated with purulent processes. At the age of 44-60 years (n = 152), type 2 diabetes mellitus (41%) and hypertension (31%) were most often registered. Type 2 diabetes mellitus (86%), coronary heart disease (75%) and hypertension (73%) were detected in patients aged over 60 years (n = 103). In our opinion, the Mary Charlson index most fully covers the entire structure of comorbid therapeutic pathology in the department of purulent surgery and allows us to take into account the age correction that is extremely necessary in this group of patients. Conclusions. The study of the structure and prevalence of comorbid pathology makes it possible to use a systematic approach in assessing the patient's prognosis and planning the work of the purulent department in the conditions of special specificity of the Northern region.

Keywords:purulent-surgical pathology, comorbid diseases, prevalence and structure.