Predicted versus observed respiratory parameters after lung resection in different postoperative periods in pulmonary tuberculosis patients

Результат исследований: Научные публикации в периодических изданияхтезисырецензирование


Currently, with the increase in the share of drug-resistant pulmonary tuberculosis (PT), the relevance of the surgical method in the complex treatment of this disease is growing. The aim of the study was to investigate the possibility of applying calculation formulae of the predicted postoperative respiratory parameters values (ERS/ESTS 2009) after lung resection in PT patients. Methods: 17 patients undergoing segmentectomy (SE) (9M/8F, mean age 33,1±11,6 yrs) and lobectomy (LE) (20M/10F, 44,1±16,9 yrs) in complex PT treatment were evaluated with complete preoperative and repeated postoperative measurements of FEV1, TLC, VC and DLCO in 1 and months. The predicted postoperative (ppo) values were compared with the observed postoperative values. We used for calculating the ppo values the following equation: ppo values = pre-operative value*(R/T), in which T - total number of functioning segments before the operation; R - residual number of functioning segments after the operation. Mann-Whitney test was used to compare differences between groups. Results: After SE, no differences were noted between the predicted and observed values of all respiratory parameters at each evaluation time. After LE, no differences were identified between the predicted and observed values of FEV1, TLC, VC and DLCO in one month (p>0,05), but DLCO/VA was higher compared with the ppo-value (p=0,01). The plots of the predicted and observed postlobectomy values at six months showed that the ppo values were lower than the real values. Conclusions: The applied formulae can be used in PT patients for predicting the respiratory parameters values in one month after SE and LE.
Язык оригиналаанглийский
Страницы (с-по)1093-1093
Число страниц1
ЖурналEuropean Respiratory Journal, Supplement
Номер выпускаS63
СостояниеОпубликовано - 2019

Предметные области Scopus

  • Медицинские специальности (все)