Publications by authors named "A S Mihelcic"
The pressure chamber is the most used tool for plant water status monitoring. However, species/cultivar and seasonal effects on protocols for reliable water potential determination have not been properly tested. In four grapevine cultivars and two times of the season (early season, Es; late season, Ls, under moderate drought), we assessed the maximum sample storage time before leaf water potential (Ψ) measurements and the minimum equilibration time for stem water potential (Ψ) determination, taking 24 h leaf cover as control.
View Article and Find Full Text PDFHealthcare-associated infections are an emerging cause of morbidity and mortality in COVID-19 intensive care units (ICUs) worldwide, especially those caused by multidrug-resistant (MDR) pathogens. The objectives of this study were to assess the incidence of bloodstream infections (BSIs) among critically ill COVID-19 patients and to analyze the characteristics of healthcare-associated BSIs due to MDR in an COVID-19 ICU. A single-center retrospective study was conducted at a tertiary hospital during a 5-month period.
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.