Zdravko Jurilj
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Zdravko Jurilj has a total of 14 co-authors. Here are the top co-authors by number of shared publications:
- Alen Protić
Department of Anesthesiology, Reanimation, Intensive Care and Emergency Medicine, Faculty of Medicine, University of Rijeka, 51000 Rijeka, Croatia
2 shared publications - Ana Čipak Gašparović
Division of Molecular Medicine, Ruđer Bošković Institute, 10000 Zagreb, Croatia
1 shared publication - Anđela Blagojević
University of Kragujevac Bioengineering Research and Development Center (BioIRC)
1 shared publication - Ivan Lorencin
Faculty of Informatics, Juraj Dobrila University of Pula, Zagrebačka 30, 52100 Pula, Croatia
1 shared publication Ivona Predović
Medicinski fakultet, Sveučilište u Rijeci, Rijeka
1 shared publication- Katarina Tomulić Brusich
Department of Anesthesiology, Intensive Care and Pain Medicine, Clinical Hospital Centre Rijeka, Rijeka, Croatia
1 shared publication
Latest Publications
- Open Access
- 26 May 2025
- Published by MDPI AG in Anesthesia Research
- Vol. 2 (2) , 13
Remimazolam and Esketamine for CT-Guided Aortic Graft Infection Drainage in a Patient with Severe Systematic Comorbidities: A Case Report
Background/Objectives: The management of patients with severe systemic comorbidities undergoing radiologic interventional procedures presents a significant challenge for anesthesiologists. Selecting an appropriate combination of anesthetic drugs is crucial to ensure a safe, painless procedure, facilitate rapid recovery, and minimalize complications. Here, we present a case of a 68-year-old female patient of ASA V status with a history of diabetes, coronary artery disease, and severe chronic obstructive pulmonary disease due to lung emphysema and dependence on a home oxygenator, requiring sedation for CT-guided percutaneous drainage of the aortic graft infection. Methods: After on-site emergent patient preparation and several position adjustments, sedation was initiated and maintained using continuous infusions of remimazolam and esketamine. Results: Throughout the procedure, the patient remained sedated, comfortable, and free of unwanted movements. The patient was hemodynamically stable and maintained oxygen saturation between 92 and 96%. Conclusions: In our opinion, the combination of remimazolam and esketamine demonstrated an effective and safe profile for procedural sedation. This approach holds the potential to influence standard operating protocols, particularly for patients with severe and multiple comorbidities requiring personalized anesthetic management.
- 26 May 2025
- Published by MDPI AG in Anesthesia Research
- Vol. 2 (2) , 13
Open AccessRemimazolam and Esketamine for CT-Guided Aortic Graft Infection Drainage in a Patient with Severe Systematic Comorbidities: A Case Report
Background/Objectives: The management of patients with severe systemic comorbidities undergoing radiologic interventional procedures presents a significant challenge for anesthesiologists. Selecting an appropriate combination of anesthetic drugs is crucial to ensure a safe, painless procedure, facilitate rapid recovery, and minimalize complications. Here, we present a case of a 68-year-old female patient of ASA V status with a history of diabetes, coronary artery disease, and severe chronic obstructive pulmonary disease due to lung emphysema and dependence on a home oxygenator, requiring sedation for CT-guided percutaneous drainage of the aortic graft infection. Methods: After on-site emergent patient preparation and several position adjustments, sedation was initiated and maintained using continuous infusions of remimazolam and esketamine. Results: Throughout the procedure, the patient remained sedated, comfortable, and free of unwanted movements. The patient was hemodynamically stable and maintained oxygen saturation between 92 and 96%. Conclusions: In our opinion, the combination of remimazolam and esketamine demonstrated an effective and safe profile for procedural sedation. This approach holds the potential to influence standard operating protocols, particularly for patients with severe and multiple comorbidities requiring personalized anesthetic management.
- Open Access
- 22 January 2021
- Published by MDPI AG in International Journal of Environmental Research and Public Health
- Vol. 18 (3) , 959
Estimation of COVID-19 Epidemiology Curve of the United States Using Genetic Programming Algorithm
Estimation of the epidemiology curve for the COVID-19 pandemic can be a very computationally challenging task. Thus far, there have been some implementations of artificial intelligence (AI) methods applied to develop epidemiology curve for a specific country. However, most applied AI methods generated models that are almost impossible to translate into a mathematical equation. In this paper, the AI method called genetic programming (GP) algorithm is utilized to develop a symbolic expression (mathematical equation) which can be used for the estimation of the epidemiology curve for the entire U.S. with high accuracy. The GP algorithm is utilized on the publicly available dataset that contains the number of confirmed, deceased and recovered patients for each U.S. state to obtain the symbolic expression for the estimation of the number of the aforementioned patient groups. The dataset consists of the latitude and longitude of the central location for each state and the number of patients in each of the goal groups for each day in the period of 22 January 2020–3 December 2020. The obtained symbolic expressions for each state are summed up to obtain symbolic expressions for estimation of each of the patient groups (confirmed, deceased and recovered). These symbolic expressions are combined to obtain the symbolic expression for the estimation of the epidemiology curve for the entire U.S. The obtained symbolic expressions for the estimation of the number of confirmed, deceased and recovered patients for each state achieved score in the ranges 0.9406–0.9992, 0.9404–0.9998 and 0.9797–0.99955, respectively. These equations are summed up to formulate symbolic expressions for the estimation of the number of confirmed, deceased and recovered patients for the entire U.S. with achieved score of 0.9992, 0.9997 and 0.9996, respectively. Using these symbolic expressions, the equation for the estimation of the epidemiology curve for the entire U.S. is formulated which achieved score of 0.9933. Investigation showed that GP algorithm can produce symbolic expressions for the estimation of the number of confirmed, recovered and deceased patients as well as the epidemiology curve not only for the states but for the entire U.S. with very high accuracy.- 22 January 2021
- Published by MDPI AG in International Journal of Environmental Research and Public Health
- Vol. 18 (3) , 959
Open AccessEstimation of COVID-19 Epidemiology Curve of the United States Using Genetic Programming Algorithm
Estimation of the epidemiology curve for the COVID-19 pandemic can be a very computationally challenging task. Thus far, there have been some implementations of artificial intelligence (AI) methods applied to develop epidemiology curve for a specific country. However, most applied AI methods generated models that are almost impossible to translate into a mathematical equation. In this paper, the AI method called genetic programming (GP) algorithm is utilized to develop a symbolic expression (mathematical equation) which can be used for the estimation of the epidemiology curve for the entire U.S. with high accuracy. The GP algorithm is utilized on the publicly available dataset that contains the number of confirmed, deceased and recovered patients for each U.S. state to obtain the symbolic expression for the estimation of the number of the aforementioned patient groups. The dataset consists of the latitude and longitude of the central location for each state and the number of patients in each of the goal groups for each day in the period of 22 January 2020–3 December 2020. The obtained symbolic expressions for each state are summed up to obtain symbolic expressions for estimation of each of the patient groups (confirmed, deceased and recovered). These symbolic expressions are combined to obtain the symbolic expression for the estimation of the epidemiology curve for the entire U.S. The obtained symbolic expressions for the estimation of the number of confirmed, deceased and recovered patients for each state achieved score in the ranges 0.9406–0.9992, 0.9404–0.9998 and 0.9797–0.99955, respectively. These equations are summed up to formulate symbolic expressions for the estimation of the number of confirmed, deceased and recovered patients for the entire U.S. with achieved score of 0.9992, 0.9997 and 0.9996, respectively. Using these symbolic expressions, the equation for the estimation of the epidemiology curve for the entire U.S. is formulated which achieved score of 0.9933. Investigation showed that GP algorithm can produce symbolic expressions for the estimation of the number of confirmed, recovered and deceased patients as well as the epidemiology curve not only for the states but for the entire U.S. with very high accuracy. - 1 December 2019
- Published by University of Rijeka, Faculty of Medicine in Medicina Fluminensis
- Vol. 55 (4) , 380-384
Primjena veno-venske izvantjelesne membranske oksigenacije kod pedijatrijskog pacijenta s teškom ozljedom mozga
Cilj: Veno-venska izvantjelesna membranska oksigenacija (engl. veno-venous extracorporeal membrane oxygenation; VV ECMO) metoda je pružanja potpore funkciji pluća u pacijenata s teškim reverzibilnim zatajenjem respiracije. Prikazan je slučaj politraumatizirane pedijatrijske pacijentice s teškom ozljedom mozga s ciljem utvrđivanja može li se takve pacijente liječiti ovom metodom. Prikaz slučaja: U Jedinicu intenzivnog liječenja (JIL) zaprimljena je osmogodišnja pacijentica nastradala kao pješakinja u automobilskoj nesreći. Premještaj je bio dogovoren zbog nestabilnog stanja vitalnih funkcija tijekom operativnog zahvata u drugoj ustanovi. Pregledom su utvrđeni višestruki prijelomi viscerokranija, teška ozljeda mozga (subarahnoidalno krvarenje) i kontuzija pluća s razvojem akutnog respiratornog distres sindroma. Pacijentica je bila umjetno ventilirana i pri prijemu je izmjerena saturacija krvi kisikom 55 %. Pristupilo se postavljanju VV ECMO-a preko periferne kanulacije, na što se saturacija u arterijskoj krvi popravila. Kontrolirani su respiracijski parametri uredni uz VV ECMO, a nalazi slikovnih tehnika pokazali su potpunu resorpciju subarahnoidalnog krvarenja i hemoragičnih žarišta na mozgu, kao i puno bolju prozračnost obaju plućna krila. Tijekom sedmog dana pristupilo se odvajanju od VV ECMO-a, uz daljnju ventilacijsku potporu. Desetoga dana liječenja pacijentica se premjestila na pedijatrijski JIL. Zaključci: Unatoč raspravama i potencijalnim rizicima postavljanja VV ECMO-a, ovaj primjer potvrđuje kako teška ozljeda mozga ne predstavlja apsolutnu kontraindikaciju za primjenu VV-ECMO-a. Kao i kod drugih medicinskih intervencija, i ova metoda nosi rizike, zbog čega se mora utvrditi stvarna potreba za svakog pacijenta individualno. Nove mogućnosti otvaraju i sustavi koji ne zahtijevaju sistemsku primjenu antikoagulacije.
- 1 December 2019
- Published by University of Rijeka, Faculty of Medicine in Medicina Fluminensis
- Vol. 55 (4) , 380-384
Primjena veno-venske izvantjelesne membranske oksigenacije kod pedijatrijskog pacijenta s teškom ozljedom mozga
Cilj: Veno-venska izvantjelesna membranska oksigenacija (engl. veno-venous extracorporeal membrane oxygenation; VV ECMO) metoda je pružanja potpore funkciji pluća u pacijenata s teškim reverzibilnim zatajenjem respiracije. Prikazan je slučaj politraumatizirane pedijatrijske pacijentice s teškom ozljedom mozga s ciljem utvrđivanja može li se takve pacijente liječiti ovom metodom. Prikaz slučaja: U Jedinicu intenzivnog liječenja (JIL) zaprimljena je osmogodišnja pacijentica nastradala kao pješakinja u automobilskoj nesreći. Premještaj je bio dogovoren zbog nestabilnog stanja vitalnih funkcija tijekom operativnog zahvata u drugoj ustanovi. Pregledom su utvrđeni višestruki prijelomi viscerokranija, teška ozljeda mozga (subarahnoidalno krvarenje) i kontuzija pluća s razvojem akutnog respiratornog distres sindroma. Pacijentica je bila umjetno ventilirana i pri prijemu je izmjerena saturacija krvi kisikom 55 %. Pristupilo se postavljanju VV ECMO-a preko periferne kanulacije, na što se saturacija u arterijskoj krvi popravila. Kontrolirani su respiracijski parametri uredni uz VV ECMO, a nalazi slikovnih tehnika pokazali su potpunu resorpciju subarahnoidalnog krvarenja i hemoragičnih žarišta na mozgu, kao i puno bolju prozračnost obaju plućna krila. Tijekom sedmog dana pristupilo se odvajanju od VV ECMO-a, uz daljnju ventilacijsku potporu. Desetoga dana liječenja pacijentica se premjestila na pedijatrijski JIL. Zaključci: Unatoč raspravama i potencijalnim rizicima postavljanja VV ECMO-a, ovaj primjer potvrđuje kako teška ozljeda mozga ne predstavlja apsolutnu kontraindikaciju za primjenu VV-ECMO-a. Kao i kod drugih medicinskih intervencija, i ova metoda nosi rizike, zbog čega se mora utvrditi stvarna potreba za svakog pacijenta individualno. Nove mogućnosti otvaraju i sustavi koji ne zahtijevaju sistemsku primjenu antikoagulacije.