METHODS
In our study, a total of 130 patients who underwent robotic and
conventional mitral valve replacement between 2014 and 2020 in Health
Sciences University Gulhane Training and Research Hospital
Cardiovascular Surgery Clinic were retrospectively analyzed. Ethics
committee approval was obtained from Health Sciences University Gülhane
Non-Invasive Research Ethics Committee, dated 25.02.2020 and numbered
2020/73 project / decision.
All patients were divided into two groups; 64 patients who underwent
robotic mitral valve replacement in Group I, and 66 patients who
underwent conventional mitral valve replacement with classical full
sternotomy in Group II. Preoperative general demographic data of the
patients (age, gender, body weight), comorbidities (hypertension,
diabetes mellitus, chronic obstructive pulmonary disease, peripheral
artery disease, hyperlipidemia), intraoperative variables
(cardiopulmonary bypass times, cross clamp times), postoperative
ventilation times, the amount of drainage, the amount of transfusion,
the need for inotropes, revision, rhythm disturbance, length of stay in
the ICU and hospital and mortality were analyzed retrospectively.
Statistical analysis
Descriptive statistics are given along with percentage, mean, standard
deviation, minimum and maximum values. Pearson chi-square test or
Fisher’s Exact Test was used in the analysis of the relationships
between categorical variables. The normal distribution assumption of
independent variables was checked by Kolmogorov-Smirnov Test and
Shapiro-Wilk Test. The relationship between the dependent variables and
the dependent variables were evaluated using the Student-T Test when
they fit the normal distribution, and the Mann-Whitney U Test when they
did not fit the normal distribution. Analysis results are considered
statistically significant if the confidence interval is 95% and p
values are less than 0.05. The length of stay in the intensive care unit
and hospital was obtained using the Kaplan Meier method. The possible
effect of the type of surgery on the duration of ICU and hospital stay
was evaluated using the log-rank test. Analyzes were made with SPSS 23.0
package program.