Tendencies towards emigration and their association with introversion and ethnocentrism among final-year medical students from Osijek, Croatia: a cross-sectional study.

BACKGROUND: The migration of healthcare workers is attracting growing attention worldwide. Attitudes towards emigration develop over the years, and it is possible that, in addition to social factors, they are influenced by the characteristics of a person's personality and the sense of belonging to the social environment. This study aimed to determine the tendencies of final-year medical students' from Osijek, Croatia, towards emigration after graduation and after specialization, as well as their specialty preferences and to investigate whether introversion and ethnocentrism have an impact on attitudes toward leaving the country in search of employment elsewhere. METHODS: A cross-sectional study was conducted among final-year (6th year) medical students from Osijek, Croatia, in two consecutive academic years - 2014/2015 and 2015/2016. Students completed a questionnaire about sociodemographic characteristics, academic and scientific performance, preferences about their future medical career, the medical specialty of choice, emigration tendencies after graduation and specialization, ethnocentrism and introversion. RESULTS: There were 124 students who participated in the study (response rate: 96%). A quarter of participants agreed that they are likely or very likely to emigrate after graduation (25.0%) or after specialization (23.39%). Variables associated with the intention to emigrate were specialty preferences (students that prefer endocrinology and psychiatry had the highest emigration tendencies), academic year in which the participants were included (students included in 2014/2015 were more prone to emigrate after specialization, p = 0.060), prior involvement in scientific projects (students with experience in scientific projects expressed higher tendencies to emigrate after graduation, p = 0.023), and ethnocentrism (higher ethnocentrism was associated with a lower tendency towards emigration after specialization, Spearman's rho = -0.191). CONCLUSION: Our finding that a quarter of final-year medical students from the Faculty of Medicine Osijek were considering emigrating from Croatia in search of employment elsewhere after graduation or specialization is not as high as in previous Croatian studies or studies conducted in other European countries. Even though these data may be encouraging, considering the lack of physicians in Croatia, interventions are needed to prevent permanent emigration to protect the future functioning of the Croatian health system. Furthermore, our study did not find significant associations between levels of introversion and ethnocentrism and tendency to emigrate from Croatia. It seems that the phenomenon covering the emigration of students is more complex and influenced by many other factors which were not included in our study.

Distribution of Pathogens and Predictive Values of Biomarkers of Inflammatory Response at ICU Admission on Outcomes of Critically Ill COVID-19 Patients with Bacterial Superinfections-Observations from National COVID-19 Hospital in Croatia.

BACKGROUND: Superinfections contribute to mortality and length of stay in critically ill COVID-19 patients. The aim of this study was to determine the incidence and pathogen distribution of bacterial and fungal superinfections of the lower respiratory tract (LRTI), urinary tract (UTI) and bloodstream (BSI) and to determine the predictive value of biomarkers of inflammatory response on their ICU survival rates. METHODS: A retrospective observational study that included critically ill COVID-19 patients treated during an 11-month period in a Croatian national COVID-19 hospital was performed. Clinical and diagnostic data were analyzed according to the origin of superinfection, and multivariate regression analysis was performed to determine the predictive values of biomarkers of inflammation on their survival rates. RESULTS: 55.3% critically ill COVID-19 patients developed bacterial or fungal superinfections, and LRTI were most common, followed by BSI and UTI. Multidrug-resistant pathogens were the most common causes of LRTI and BSI, while Enterococcus faecalis was the most common pathogen causing UTI. Serum ferritin and neutrophil count were associated with decreased chances of survival in patients with LRTI, and patients with multidrug-resistant isolates had significantly higher mortality rates, coupled with longer ICU stays. CONCLUSION: The incidence of superinfections in critically ill COVID-19 patients was 55.3%, and multidrug-resistant pathogens were dominant. Elevated ferritin levels and neutrophilia at ICU admission were associated with increased ICU mortality in patients with positive LRTI.

Epidemiological characteristics, baseline clinical features, and outcomes of critically ill patients treated in a coronavirus disease 2019 tertiary center in continental Croatia.

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). Baseline demographic data, major comorbidities, anthropometric measurements, clinical features, and laboratory findings at admission were compared between survivors and non-survivors. RESULTS: The median age was 72 (64-78) years. The median body mass index was 29.1 kg/m2. The most relevant comorbidities were diabetes mellitus (32.6%), arterial hypertension (71.2%), congestive heart failure (19.1%), chronic kidney disease (12.6%), and hematological disorders (10.3%). The median number of comorbidities was 3 and median Charlson Comorbidity Index (CCI) was 5. A total of 61.8% patients received high-flow nasal oxygen therapy (HFNO) and 80.5% received mechanical ventilation (MV). Median duration of HFNO was 3, and that of MV was 7 days. ICU mortality rate was 72.7%. Survivors had significantly lower age, number of comorbidities, CCI, sequential organ failure assessment score, serum ferritin, C-reactive protein, D-dimer, and procalcitonin, interleukin-6, lactate, white blood cell, and neutrophil counts. They also had higher lymphocyte counts, PaO2/FiO2 ratio, and glomerular filtration rate at admission. Length of ICU stay was 9 days. The median survival was 11 days for mechanically ventilated patients, and 24 days for patients who were not mechanically ventilated. CONCLUSION: The parameters that differentiate survivors from non-survivors are in agreement with published data. Further multivariate analyses are warranted to identify individual mortality risk factors.

Clinical and laboratory predictors at ICU admission affecting course of illness and mortality rates in a tertiary COVID-19 center.

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. METHODS: 692 critically ill COVID-19 patients treated during a 10-month period were included in this retrospective observational trial to assess the risk factors determining mortality rates. Various anthropometric features, comorbidities, laboratory parameters, clinical features and therapeutic interventions were included in the analysis. ICU mortality rates and length of ICU stay were primary endpoints analyzed in this study. RESULTS: After multivariate adjustment, only the SOFA score, PaO2/FiO2 and history of arterial hypertension had an effect on ICU mortality, as well as the need to initiate invasive mechanical ventilation. Increase in PaO2/FiO2 over the first 7 days was present in survivors, while reverse applied to SOFA. Length of ICU stay was 9 (4-14) days. Factors affecting survival times were admission from wards, congestive heart failure, invasive mechanical ventilation, bacterial superinfections, age > 75 years, SOFA score, and serum ferritin, CRP and IL-6 values at ICU admission. CONCLUSION: Elevated inflammatory biomarkers and SOFA score at ICU admission were detected as significant predictors of ICU mortality in this cohort, while initiation of invasive mechanical ventilation is the most relevant interventional mortality risk factor in critically ill COVID-19 patients.