Despite the development of injury surveillance systems for use at large multi sportsevents (Junge 2008), their implementation is still methodologically and practicallychallenging. Edouard (2013) and Engebretsen (2013) have pointed out that thecontext of athletics championships feature unique constraints, such as a limiteddata-collection window and large amounts of data to be recorded and rapidlyvalidated. To manage these logistical issues, Electronic Data Capture (EDC) methodshave been proposed (Bjorneboe 2009, Alonso 2012, Edouard 2013). EDC systemshave successfully been used for surveillance during multi-sport events Derman et al(2013) and its potential for surveillance studies during athletics championships istherefore interesting. The focus for surveillance during athletics championships hasthis far been on injury and illness data collected from team medical staff in directassociation to the competitions. But the most common injury and illness problems inathletics are overuse syndromes (Alonso 2009, Edouard 2012, Jacobsson 2013) andknowledge of risk factors associated to these problems is also relevant in associationto championships. A desirable next step to extend the surveillance routines istherefore to include also pre-participation risk factors. For surveillance of overusesyndromes, online systems for athlete self-report of data on pain and othersymptoms have been reported superior to reports from coaches (Shiff 2010). EDCsystems have also been applied for athlete self-report of exposure and injury data inathletics and other individual sports and have been found to be well accepted with agood efficiency (Jacobsson 2013, Clarsen 2013). There are thus reasons forinvestigating EDC system use by both athletes and team medical staff during athleticchampionships.This thesis used a cross-sectional design to collect qualitative data from athletes andteam medical staff using interviews and “think-aloud” usability evaluation methods(Ericsson 1993; Kuusela 2000). It was performed over 3 days during the 2013European Athletics Indoor Championships in Gothenburg, Sweden. Online EDCsystems for collection of data from athletes and team medical staff, respectively,were prepared for the study. The system for use by team medical staff was intendedto collect data on injuries and illnesses sustained during the championship and thesystem for athletes to collect data on risk factors.This study does not provide a solution in how an EDC effort should be implementedduring athletics championships. It does however points towards usability factorsthat needs to be taken into consideration if taking such an approach.

<p>Uvod: Učestalost akutne renalne insuficijencije, odnosno akutnog bubrežnog o&scaron;tećenja u jedinicama intenzivnog lečenja se kreće od 36 do 66 %. Akutno bubrežno o&scaron;tećenje povi&scaron;ava smrtnost, trajanje hospitalizacije i ukupne tro&scaron;kove lečenja. Ranije prepoznavanje prediktivnih faktora za nastanak akutnog bubrežnog o&scaron;tećenja može da ima značajan uticaj na pravovremeno započinjanje terapijskih mera i smanjivanje mortaliteta kod kritično obolelih. Cilj istraživanja: Utvrditi incidencu akutnog bubrežnog o&scaron;tećenja na Odeljenju reanimacije Urgentnog centra Kliničkog centra Vojvodine tokom 2011.godine, učestalost sepse kao etiolo&scaron;kog faktora i značajne prediktivne faktore za nastanak akutnog bubrežnog o&scaron;tećenja koji se javljaju u toku prvih 24 časa lečenja na odeljenju intenzivnog lečenja. Metodologija: Retrospektivno-prospektivna opservaciona studija uključila je uzorak od 251 ispitanika koji su se lečili na dva odeljenja intenzivnog lečenja u Kliničkom centru Vojvodine tokom 2010, 2011, i prvih 6 meseci 2012.godine. Iz medicinske dokumentacije (istorije bolesti, dnevne terapijske liste i liste vitalnih i laboratorijskih parametara) za svakog ispitanika je verifikovano prisutvo ili odsustvo potencijalnog prediktivnog faktora. Zatim je zabeležena pojava akutnog bubrežnog o&scaron;tećenja prema RIFLE kriterijumima. Statistička analiza je izvr&scaron;ena pomoću statističkog paketa IBM SPSS 20 Statistics. Podaci su predstavljeni tabelarno i grafički, a statistička značajnost određivana je na nivou p&lt; 0,05. Prikupljeni podaci su obrađeni standardnim statističkim testovima. Za izvođenje modela predviđanja primenjena je multivarijatna logistička regresija. Određene su granične tačke na osnovu ROC analize za dobijene značajne prediktore iz multivarijacione logističke regresije i izračunati su pridruženi bodovi koji bi činili skoring sistem za utvrđivanje rizika od nastanka akutnog bubrežnog o&scaron;tećenja. Rezultati: Incidenca akutnog bubrežnog o&scaron;tećenja na Odeljenju reanimacije Urgentnog centra Kliničkog centra Vojvodine u Novom Sadu kod bolesnika koji su hospitalizovani najkraće 48 časova u toku 2011.godine je 32 %. Rezna tačka (cut off value) zapremine provocirane diureze jedan čas nakon intravenskog davanja bolusa furosemida od 0,165 ml/kg telesne mase/čas/po miligramu datog furosemida ima najvi&scaron;u senzitivnost (82,3 %) i specifičnost (67,5 %) u diferenciranju bolesnika koji će razviti ABO. Konačni model predloženog skoring sistema sa ulogom predikcije nastanka ABO nakon 24 časa lečenja bolesnika na odeljenju intenzivnog lečenja sadrži sledeće varijable: starost vi&scaron;u od 53 godine, vrednost APACHE skora vi&scaron;u od 16, prosečnu diurezu prvih 6 časova hospitalizacije nižu od 0,875 ml/kg/h, primenu vazopresora, kalijemiju vi&scaron;u od 4,5 mmol/l i koncentraciju laktata iznad 2 mmol/l. Zaključak: Incidenca akutnog bubrežnog o&scaron;tećenja na Odeljenju reanimacije Urgentnog centra Kliničkog centra Vojvodine je slična literaturnim podacima. Bolesnici koji su stariji, imaju vi&scaron;e vrednosti APACHE II skora, nižu prosečnu zapreminu diureze u toku prvih 6 časova po prijemu, koji primaju vazopresorne medikamente, imaju vi&scaron;u koncentraciju kalijuma i vi&scaron;e koncentracije laktata u toku prvih 24 časa lečenja imaju veću &scaron;ansu da razviju akutno bubrežno o&scaron;tećenje.</p> / <p>Introduction: The incidence of acute renal insufficiency (acute kidney injury) in intensive care unit is between 36 and 66 %. Acute kidney injury is responsible for higher mortality, longer hospitalization and higher costs. Earlier recognition of acute kidney injury predictive factors could have important impact on right timing of therapeutic measures and lower mortality in critically ill patients. Aims: investigate the incidence of acute kidney injury during 2011. in patients who are hospitalized at Department of reanimation of Emergency centre, Clinical centre of Vojvodina, incidence of acute kidney injury caused by sepsis in the same period and detect acute kidney injury occurrence predicitive factors Methodology: This retrospective-prospective observational study investigated 251 critically ill patients-study subjects who were treated at two intensive care departments in Clinical centre of Vojvodina during 2010, 2011 and first six months of 2012. Potential predictive factors were identified out of medical records (patient history, daily therapeutic lists, vital parameters and laboratory values lists); the occurrence of acute kidney injury was noted according to RIFLE criteria. IBM SPSS version 20 was used for statistical analysis, standard statystical test were applied. The results were presented in tables and graphs, statystical significance was set at p value of less than 0,05. Multivariate logistic regression model was used for potential predictive factors. Statystically important factors were identified and their best sensitivity and specificity cut-off values were found using ROC curve analysis.; These cut-off values were used for creating a scoring system that determines the risk for acute kidney injury occurrence. Results: The incidence of acute kidney injury at Department of reanimation, Clinical centre of Vojvodina in patients who were hospitalized at least 48 hours was 32 % during 2011. The cut off value of provoked hourly urine output during first hour after furosemide intravenous bolus of 0.165 ml/kg body weight/h/miligram of administered furosemide has the highest sensitivity (82.3 %) and specifity (67.5 %) in differentiation of patients who would develop acute kidney injury and those who would not. The final suggested model of scoring system with the role of acute kidney injury prediction after 24 hours of treatment contains the next variables: age higher than 53 years, APACHE II score higher than 16, avarage hourly urine output during first 6 hours after ICU admission less than 0,875 ml/kg BW/h, vasopressor medication administration, blood potassium concentration higher than 4,5 mmol/l, lactates higher than 2 mmol/l after 24 hours of treatment. Conclusion: The incidence of acute kidney injury at Department of reanimation of Emergency centre, Clinical centre of Vojvodina is similar to world literature references. Critically ill patients who are more likely to develop acute kidney injury are older, have higher APACHE II score values, lower avarage urine output in the first 6 hours after ICU admission, are administered vasopressor medication, have higher blood potassium and lactate concentration in the first 24 hours of their treatment.</p>