https://nova.newcastle.edu.au/vital/access/ /manager/Index ${session.getAttribute("locale")} 5 https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:43511 Wed 21 Sep 2022 11:11:20 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:47099 Wed 14 Dec 2022 09:51:36 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:54218 Wed 13 Mar 2024 07:50:28 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:13110 Wed 11 Apr 2018 15:49:42 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:24484 Wed 11 Apr 2018 15:29:41 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:25051 Wed 11 Apr 2018 14:26:03 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:749 Wed 11 Apr 2018 14:02:30 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:17255 Wed 11 Apr 2018 13:26:16 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:10313 Wed 11 Apr 2018 12:13:41 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:17025 Wed 11 Apr 2018 10:51:09 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:46514 Wed 06 Mar 2024 15:04:04 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:29397 Wed 04 Sep 2019 10:24:26 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:34455 Wed 04 Sep 2019 09:56:05 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:26283 Tue 29 Oct 2024 12:23:08 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:56850 Tue 26 Nov 2024 13:03:53 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:56834 Tue 26 Nov 2024 11:55:14 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:48922 Tue 25 Jun 2024 15:53:59 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:15086 Tue 22 Oct 2024 13:56:09 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:32612 Tue 22 Oct 2024 09:50:49 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:33890 Tue 22 Jan 2019 14:21:58 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:51126 Tue 22 Aug 2023 15:51:43 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:48531 Tue 21 Mar 2023 13:52:41 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:51802 Tue 19 Sep 2023 09:01:51 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:55715 3), we identified patients who had surgery that preceded MOF, determined whether the timing of these operation(s) were modifiable(M) or non-modifiable (non-M), and evaluated the change in physiological parameters as a result of surgery. Results: Of 716 polytrauma patients at-risk of MOF, 205/716 (29%) developed MOF, and 161/205 (79%) had surgery during their ICU admission. Of the surgical MOF patients, 147/161 (91%) had one or more operation(s) that preceded MOF, and 65/161 (40%) of them had operation(s) with modifiable timings. There were no differences in age (mean (SD) 52 (19) vs 53 (21)years), injury severity score (median (IQR) 34 (26–41)vs34 (25–44)), admission physiological and resuscitation parameters, between M and non-M-patients. M patients had longer ICU LOS (median (IQR) 18 (12–28)versus 11 (8–16)days, p < 0.0001) than non-M-patients, without difference in mortality (14%vs16%, p = 0.7347), or hospital LOS (median (IQR) 32 (18–52)vs27 (17–47)days, p = 0.3418). M-patients had less fluids and transfusions intraoperatively. Surgery did not compromise patient physiology. Conclusion: Operations preceding MOF are common in polytrauma and seem to be safe in maintaining physiology. The margin for improvement from optimizing surgical timing is modest, contrary to historical assumptions.]]> Tue 18 Jun 2024 12:53:52 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:22045 Tue 15 Oct 2024 13:47:39 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:46188 Tue 15 Nov 2022 08:43:55 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:25637 Tue 14 Jan 2025 11:51:47 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:43127 Tue 13 Sep 2022 14:53:37 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:27429 Tue 11 Dec 2018 15:19:48 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:50081 Tue 10 Sep 2024 10:21:24 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:35846 Tue 06 Oct 2020 12:49:05 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:52069 Thu 28 Sep 2023 08:52:42 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:37340 Thu 28 Jan 2021 17:57:26 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:38309 Thu 26 Aug 2021 12:21:41 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:46448 Thu 24 Nov 2022 14:26:36 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:54907  15, Abbreviated Injury Scale (AIS) Head < 3 and survived > 48 h. Demographics, physiological and shock resuscitation parameters were collected. The primary outcome was MOF defined by a Denver Score > 3. Secondary outcomes: intensive care unit length of stay (ICU LOS), ventilation days and mortality. Results: Three hundred and forty-seven patients met inclusion criteria (age 48 ± 20; ISS 30 ± 11, 248 (71%) were males and 23 (6.6%) patients died. The 74 (21%) MOF patients (maximum Denver Score: 5.5 ± 1.8; Duration; 5.6 ± 5.8 days) had higher ISS (32 ± 11 versus 29 ± 11) and were older (54 ± 19 versus 46 ± 20 years) than non-MOF patients. Mean daily Denver scores adjusted for age, sex, MOF and ISS did not change over time. Crystalloid usage decreased over the 10-year period (p value < 0.01) and PRBC increased (p value < 0.01). Baseline cumulative incidence of MOF at 28 days was 9% and competing risk analyses showed that incidence of MOF increased over time (subdistribution hazard ratio 1.14, 95% CI 1.04 to 1.23, p value < 0.01). Mortality risk showed no temporal change. ICU LOS increased over time (subdistribution hazard ratio 0.95, 95% CI 0.92 to 0.98, p value < 0.01). Ventilator days increased over time (subdistribution hazard ratio 0.94, 95% CI 0.9 to 0.97, p value < 0.01). Conclusion: The epidemiology of MOF continues to evolve. Our prospective cohort suggests an ageing population with increasing incidence of MOF, particularly in males, with little changes in injury or shock parameters, who are being resuscitated with less crystalloids, stay longer on ICU without improvement in survival.]]> Thu 21 Mar 2024 11:56:18 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:52642 Thu 19 Oct 2023 15:19:52 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:24452 collective violence and legal intervention had no representation in CDSR. Correlation testing revealed a strong positive correlation that was statistically significant. Representation of road injury; interpersonal violence; fire, heat, and hot substances; mechanical forces; poisonings, adverse effect of medical treatment, and animal contact was well aligned with respect to DALY. Representation of falls was greater compared to DALY, while self-harm, exposure to forces of nature, and other transport injury representation was lower compared to DALY. Conclusions and Relevance: CDSR representation of external causes of injury strongly correlates with disease burden. The number of systematic reviews and protocols was well aligned for seven out of 12 causes of injury. These results provide high-quality and transparent data that may guide future prioritisation decisions.]]> Thu 13 Jan 2022 10:29:12 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:16716 Thu 11 Jul 2019 14:46:37 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:31518 Sat 24 Mar 2018 08:43:36 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:7097 Sat 24 Mar 2018 08:37:59 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:7817 15; age > 18, head Abbreviated Injury Scale (AIS) <3 and survival >48 h). MOF was prospectively defined by the Denver MOF score greater than 3 points. Data are presented as % or Mean+/−SEM. Univariate statistical comparison was performed (Student t-test, X2 test), P < 0.05 was considered significant. Results: Twenty-nine patients met inclusion criteria (Age 40+/−4, ISS 29+/−3, Male 62%), five patients developed MOF. The incidence of MOF among trauma patients admitted to ICU was 2% (5/204) and 17% (5/29) in the high-risk cohort. The maximum average MOF score was 6.3 +/−1, with the average duration of MOF 5+/−2 days. Two patients had respiratory and cardiac failure, two patients had failure of respiratory, cardiac and hepatic systems, while one patient had failure of respiratory, hepatic and renal systems. One MOF patient died, all non MOF patients survived. MOF patients had longer ICU stays (20+/−4 versus 7+/−0.8 P= 0.01), tended to be older (60+/−11 versus 35+/−4 p=0.07). None of the previously described independent predictors (ISS, base deficit, lactate, transfusions) were different when the MOF patients were compared with the non-MOF patients. Conclusion: The incidence of MOF in Australia is consistent with the international data. In Australia MOF continues to cause significant late mortality and morbidity in trauma patients. MOF patients have longer ICU stay than high-risk non MOF patients, and use significant resources. Our preliminary data challenges the timeliness of the 10-year-old independent predictors of post-injury MOF. The epidemiology, the clinical presentation and the independent predictors of post-injury MOF require larger scale reassessment for the Australian context.]]> Sat 24 Mar 2018 08:37:36 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:7634 Sat 24 Mar 2018 08:36:02 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:15479 Sat 24 Mar 2018 08:19:01 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:11483 Sat 24 Mar 2018 08:10:25 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:20942 p = 0.020) and then further elevated after surgery (1 hour postoperative, 17.8 ± 2.0 U vs. preoperative, 13.8 ± 1.4 U, p = 0.008). Polytrauma patients were more hypercoagulable than nonpolytrauma at the preoperative sample time (17.7 ± 2.6 U vs. 10.7 ± 1.2 U, p = 0.040) and postoperative period (24.3 ± 3.4 U vs. 11.9 ± 1.4 U, p = 0.006). The OHP for patients undergoing open pelvic surgery (28.3 ± 3.0 U) was higher than both intramedullary nailing (16.2 ± 2.0 U) and percutaneous pelvic surgery (17.0 ± 1.7 U) on Day 5 (p < 0.05). Patients demonstrated a higher OHP than controls did at all time points, except at 6 weeks (patients, 10.8 ± 1.7 U vs. controls, 8.1 ± 0.5 U; p = 0.400). CONCLUSION: The OHP assay detected the hypercoagulable state following major orthopedic trauma and surgical intervention, which was present for 10 days postoperatively. The extent of hypercoagulability could be associated with polytrauma and the type of surgical intervention; however, further studies are needed to confirm this.]]> Sat 24 Mar 2018 08:06:06 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:20812 Sat 24 Mar 2018 08:05:59 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:21429 Sat 24 Mar 2018 08:05:47 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:21450 Sat 24 Mar 2018 08:05:44 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:21387 Catechol-O-methyltransferase (COMT) Val¹⁵⁸Met polymorphism, a common genetic variant known to affect cognition and prefrontal dopamine levels. Participants were 429 schizophrenia/schizoaffective cases from the Australian Schizophrenia Research Bank (ASRB). Cognitive performance was assessed using the Repeatable Battery for Assessment of Neuropsychological Status (RBANS), Controlled Oral Word Association Test (COWAT), Letter Number Sequencing (LNS) test, and the Wechsler Test of Adult Reading (WTAR). Hierarchical regression was used to test the main effects and additive interaction effects of genotype and childhood trauma in the domains of physical abuse, emotional abuse, and emotional neglect, on cognition and symptom profiles of clinical cases. Consistent with previous findings, COMT Val homozygotes performed worse on cognitive measures in the absence of childhood adversity. In addition, a significant interaction between COMT genotype and physical abuse was associated with better executive function in Val homozygotes, relative to those of the same genotype with no history of abuse. Finally, the severity of positive symptoms was greater in Met carriers who had experienced physical abuse, and the severity of negative symptoms in Met carriers was greater in the presence of emotional neglect. These results suggest that the possible epigenetic modulation of the expression of the COMT Val¹⁵⁸Met polymorphism and consequent effects on cognition and symptoms in schizophrenia, with worse outcomes associated with adverse childhood experiences in Met carriers.]]> Sat 24 Mar 2018 08:05:04 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:18141 Sat 24 Mar 2018 08:04:44 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:20345 120) or GCS < 14 on arrival were excluded. Momentary pain scores were measured on an 11-point verbal numerical rating scale by paramedics during prehospital management. Patients were evaluated within 48 h of injury on the recall of their initial pain, pain during transport, and lowest pain score achieved by prehospital analgesia. Spearman's rank correlation and Bland–Altman tests were used to compare ambulance and hospital data. Results: 88 trauma resuscitation patients (mean age 44 years ± 18 SD, male 74%, mean ISS: 7 ± 5 SD) were enrolled over a 5 month study period. Comparison of immediate and recalled pain scores produced Spearman's correlation coefficients of 0.71 for initial pain, 0.56 for pain during transport, and 0.45 for minimum pain scores. Discussion: In our study patients did not accurately recall their pain levels 1–2 days after acute trauma. The results suggest that retrospective pain ratings are not reliable in trauma patients.]]> Sat 24 Mar 2018 08:02:56 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:17313 Sat 24 Mar 2018 08:01:51 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:17326 120) or Glasgow Coma Scale score <14 on arrival were excluded. Nausea, vomiting, and antiemetic use were recorded. RESULTS: Convenience sample of 196 trauma resuscitation patients (68% men; age, 42 ± 18 years, mean Injury Severity Score 8 ± 7) were interviewed over the 5-month study period, of a total 369 admitted trauma patients (53%). Seventy-five (38%) patients reported some degree of nausea, 57 (29%) moderate or severe nausea, and 15 (8%) vomited. Older age and female gender were associated with vomiting (p < 0.01). Seventy-nine patients (40%) received a prophylactic antiemetic. Of these, four became nauseous (5%), compared with 71 of 117 (61%) for patients not given an antiemetic (p < 0.0001). CONCLUSIONS: Prehospital nausea and vomiting are more common in our cohort of trauma patients than the reported rates in the literature for nontrauma patients transported to hospital by ambulance. Only 40% of patients receive prophylactic antiemetics, but those patients are less likely to develop symptoms.]]> Sat 24 Mar 2018 08:01:47 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:21784 Sat 24 Mar 2018 08:00:40 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:20051 12 was significant (P < 0.0001). The median cost of injury increased with every additional body region injured (P < 0.0001). For each additional day spent in hospital, there was an increased cost of AUD$1898 and patients admitted to an intensive care unit (ICU) cost AUD$7358 more than patients not admitted to ICU. The total costs incurred by trauma centres were AUD$1.4 million above the NSW peer group average cost estimates. Conclusions: The high financial cost of paediatric patient treatment highlights the need to ensure prevention remains a priority in Australia. Hospitals tasked with providing trauma care should be appropriately funded and future funding models should consider trauma severity.]]> Sat 24 Mar 2018 08:00:04 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:20061 Sat 24 Mar 2018 08:00:04 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:21071 Sat 24 Mar 2018 07:59:25 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:20386 15, age > 18 years, head Abbreviated Injury Scale [AIS] score < 3, survival for >48 hours). Demographics, ISS, physiologic parameters, SOFA and Denver scores, and outcome data were prospectively collected. Sensitivity/specificity and receiver operating characteristic curve were calculated for both scores. Analysis was also completed for a Day 3 postinjury SOFA and Denver score. Results: A total of 140 patients met the inclusion criteria (mean [SD] age, 47 [21] years; ISS, 30; male, 69%; mortality rate, 6%; mean [SD] ICU LOS, 9 [7] days; mean [SD] ventilation period, 6 [7] days). There was no difference in the score performance predicting mortality. Day 3 SOFA score of 4 or greater outperformed the Denver score of greater than 3 when predicting ICU LOS and ventilator days (area under the curve, 0.83 vs. 0.69, 0.86 vs. 0.73, respectively). The SOFA score was more sensitive and the Denver score was more specific when predicting mortality, ICU LOS, and ventilator days. Conclusion: Both scores had similar performance predicting mortality; however, the Day 3 SOFA score outperforms the Denver score when predicting ICU LOS and ventilator days. Either score could be superior based on whether one is seeking to optimize specificity or sensitivity. It is important to note that these findings are in a non–head-injured population and that there are practical difficulties using the SOFA in head-injured patients.]]> Sat 24 Mar 2018 07:58:08 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:19110 Sat 24 Mar 2018 07:55:58 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:19102 =10 units of PRBC. Average PRBC use was 7.2 ± 6.6 units and fresh frozen plasma use 4.3 ± 5.2 units. Thirty-nine percent (25/64) had a pelvic ring injury or acetabular fracture. Thirty-seven percent (24/64) had at least one femoral shaft fracture. Twenty patients had a total of 23 tibia fractures. Conclusions: Orthopaedic trauma patients consume the majority of the blood products <24 hours among blunt trauma patients. This resource-intensive group requires frequent urgent surgical interventions and intensive care unit admission.]]> Sat 24 Mar 2018 07:55:50 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:19238 Sat 24 Mar 2018 07:54:55 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:21297 Sat 24 Mar 2018 07:54:38 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:19721 15; age > 18 years, head Abbreviated Injury Scale [AIS] score < 3; and survival for >48 hours). Demographics, injury severity (ISS), physiologic parameters, MOF status based on the Denver score, and outcome data were prospectively collected. Univariate analysis and multivariate logistic modeling were performed; p < 0.05 was considered significant. Data are presented as percentage or mean (SD). RESULTS: A total of 140 patients met the inclusion criteria (age, 47 [21] years; ISS, 30 [11]; male, 69%), 21 patients (15%) developed MOF, and MOF associated mortality was 24% versus non-MOF mortality rate of 3%. Patients who developed MOF had longer ICU stays (19 [7] vs. 7 [5], p < 0.01) and had more ventilator days (18 [9] vs. 4 [4], p < 0.01). Prediction models were generated at two time points as follows: admission and 24 hours after injury. At admission, age (>65 years) and admission platelet count (<150 ✕ 10(9)/L) were significant predictors of MOF; at 24 hours after injury, MOF was predicted by age more than 65 years, admission platelet count less than 150 ✕ 10(9)/L, maximum creatinine of greater than 150 ✕ 10(9)/L and minimum bilirubin of greater than 10 ✕ 10(9)/L. Shock parameters and injury severity did not predict MOF. CONCLUSION: The incidence of MOF (15%) is lower than reported 15 years ago; MOF remains a major cause of ICU resource use and late mortality after injury. The independent predictors of MOF have fundamentally changed, likely owing to improvements in resuscitation and critical care. Current predictors are universally available at admission and 24 hours. LEVEL OF EVIDENCE: Epidemiologic/prognostic study, level III.]]> Sat 24 Mar 2018 07:53:43 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:18382 Sat 24 Mar 2018 07:52:42 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:20178 110 g/l). Conclusion: The prospective evaluation of acutely transfused trauma patients showed a distinct pattern of transfusion triggers as the patient passes from ED to the OT and arrives to the ICU. The conventional transfusion trigger (haemoglobin level) is not appropriate in ET as early transfusion triggers are based on vital signs, blood gas results, injury patterns and anticipated major bleeding.]]> Sat 24 Mar 2018 07:51:40 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:21022 p = 0.003), 3 days (p = 0.003), and 5 days (p = 0.0014). Preoperative mtDNA levelswere greater with shorter time from injury to surgery (p = 0.0085). Postoperative mtDNA level negatively correlated with intraoperative crystalloid infusion (p = 0.0017). Major pelvic surgery (vs. minor) was associated with greater mtDNA release 5 days postoperatively (p < 0.05). Conclusion: This pilot of heterogeneous orthopedic trauma patients showed that the release of mtDNA and nDNA is sustained for 5 days following orthopedic trauma surgery. Postoperative, circulating DNA is not associated with markers of tissue necrosis but is associated with surgical invasiveness and is inversely related to intraoperative fluid administration. Sustained elevation of mtDNA levels could be of inflammatory origin and may contribute to postinjury dysfunctional inflammation.]]> Sat 24 Mar 2018 07:50:33 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:5095 Sat 24 Mar 2018 07:48:52 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:25811 Sat 24 Mar 2018 07:34:38 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:26615 Sat 24 Mar 2018 07:34:00 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:29522 Sat 24 Mar 2018 07:32:30 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:4889 Sat 24 Mar 2018 07:21:59 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:23620 Sat 24 Mar 2018 07:13:28 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:23599 Sat 24 Mar 2018 07:12:22 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:52816 Mon 30 Oct 2023 08:44:26 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:48680 Mon 27 Mar 2023 14:39:42 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:44729 Mon 24 Oct 2022 08:28:52 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:47458 Mon 23 Jan 2023 10:16:30 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:53253 Mon 20 Nov 2023 10:57:40 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:50994 Mon 18 Sep 2023 13:47:04 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:52504 Mon 16 Oct 2023 10:10:04 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:37467 Mon 11 Jan 2021 16:16:25 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:52273 Mon 09 Oct 2023 10:04:34 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:56771 Mon 09 Dec 2024 08:42:20 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:55460 Mon 03 Jun 2024 08:52:43 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:56872 Fri 29 Nov 2024 12:22:33 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:52701 Fri 27 Sep 2024 12:27:36 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:26248 Fri 23 Mar 2018 18:03:02 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:39035 Fri 22 Apr 2022 15:47:45 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:35100 Fri 21 Jun 2019 17:58:13 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:42278 20 mSv). The study cohort included 428 patients (193 male and 235 female) with an average age of 44 years (±28). There were 447 procedures performed, i.e., all involved operative fluoroscopy, 116 involved computed tomography, and 397 involved X-ray. The mean cumulative effective dose per patient was 1.96 mSv (±4.98, 45.12). The mean cumulative effective dose for operative fluoroscopy was 0.32 mSv (±0.73, 5.91), for X-ray was 1.12 mSv (±3.6, 39.23) and for computed tomography was 2.22 mSv (±4.13, 20.14). The mean cumulative effective dose of 1.96 mSv falls below the recommended maximum annual exposure of 20 mSv. This study can serve as a guide for informing clinicians and patients of the acceptable radiation risk in the context of isolated extremity trauma.]]> Fri 19 Aug 2022 14:51:21 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:49957 Fri 16 Jun 2023 15:55:34 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:40036 Fri 15 Jul 2022 12:58:16 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:47279 Fri 13 Jan 2023 10:24:32 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:52615 3, 12.7% (95% CI, 9.3-16.1%) in Denver score >3 with blunt injuries only, 28.6% (95% CI, 12-45.1%) in Denver score >8, 25.6% (95% CI, 10.4-40.7%) in Goris score >4, 29.9% (95% CI, 14.9-45%) in Marshall score >5, 20.3% (95% CI, 9.4-31.2%) in Marshall score >5 with blunt injuries only, 38.6% (95% CI, 33-44.3%) in SOFA score >3, 55.1% (95% CI, 49.7-60.5%) in SOFA score >3 with blunt injuries only, and 34.8% (95% CI, 28.7-40.8%) in SOFA score >5. Conclusion: The incidence of postinjury MOF varies largely because of lack of a consensus definition and study population. Until an international consensus is reached, further research will be hindered. Level of Evidence: Systematic Review and Meta-analysis; Level III.]]> Fri 10 Nov 2023 07:10:04 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:37751 Fri 09 Apr 2021 12:14:48 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:40364 Fri 08 Jul 2022 14:52:39 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:41563 Fri 05 Aug 2022 14:30:21 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:42786 Fri 02 Sep 2022 13:34:25 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:49788 Fri 02 Jun 2023 17:17:39 AEST ]]>