Publications by authors named "Marko Prazetina"
Aims: Intraoperative hypotension and liberal fluid haemodynamic therapy are associated with postoperative medical and surgical complications in maxillofacial free flap surgery. The novel haemodynamic parameter hypotension prediction index (HPI) has shown good performance in predicting hypotension by analysing arterial pressure waveform in various types of surgery. HPI-based haemodynamic protocols were able to reduce the duration and depth of hypotension.
View Article and Find Full Text PDFBackground: Colorectal resections are associated with a pronounced inflammatory response, severe postoperative pain, and postoperative ileus. The aim of this study was to evaluate the main effects of lidocaine and ketamine, and their interaction in colorectal cancer (CRC) patients after open surgery. The interaction could be additive if the effect of 2 drugs given in combination equals the sum of their individual effects, or multiplicative if their combined effect exceeds the sum of their individual effects.
View Article and Find Full Text PDFArticle Synopsis
- * Methods: Researchers conducted a retrospective analysis over 11 months in a Croatian COVID-19 hospital, examining clinical data and using regression analysis to assess the predictive values of inflammatory biomarkers.
- * Results: More than half (55.3%) of the patients developed superinfections, primarily in the lower respiratory tract. Multidrug-resistant pathogens were prevalent and linked to higher mortality and extended ICU stays, with elevated ferritin and neutrophil counts indicating reduced survival chances.
Aim: To describe epidemiological characteristics and baseline clinical features, laboratory findings at intensive care unit (ICU) admission, and survival rates of critically ill coronavirus disease 2019 (COVID-19) patients treated at a tertiary institution specialized for COVID-19 patients.
Methods: This retrospective study recruited 692 patients (67.1% men).
Background: Survival rates of critically ill COVID-19 patients are affected by various clinical features and laboratory parameters at ICU admission. Some of these predictors are universal but others may be population specific.
Objective: To determine utility of baseline clinical and laboratory parameters in a multivariate regression model to predict outcomes in critically ill COVID-19 patients in a tertiary hospital in Croatia.