https://nova.newcastle.edu.au/vital/access/ /manager/Index en-au 5 https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:41114 Tue 26 Jul 2022 08:55:17 AEST ]]> 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:14324 Sat 24 Mar 2018 08:26:22 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:10753 24 hours). Demographics, Injury Severity Score, pelvic Abbreviated Injury Score, first 24-hour transfusions, physiologic parameters, time to operating room (OR), angiography requirement, length of stay (LOS), and mortality were recorded. Data are presented as mean ± SD or percentages. Statistical significance was determined at p < 0.05 based on univariate analysis. Results: Forty-five patients met inclusion criteria, 18 patients had acute definitive ORIF (5.5 hours to OR) and 27 had late definitive ORIF (5 days to OR). Acute and late ORIF patients had comparable demographics (age: 48 ± 22 years vs. 40 ± 14 years, gender: 82% vs. 79% men) and injury severity (Injury Severity Score: 30 ± 18 vs. 24.5 ± 13, pelvic Abbreviated Injury Score: 3.7 ± 1 vs. 3.4 ± 1.1). Initial shock parameters were significantly worse in the acute ORIF group (systolic blood pressure, 69.7 ± 17 mm Hg vs. 108 ± 21 mm Hg; BD, −7.4 ± 4 vs. −4.9 ± 2 mEq/L, lactate 6.67 ± 7 mmol/L vs. 2.51 ± 1.3 mmol/L). Angiography was used in 18% (3/18) vs. 21% (6 of 27) of the cases. All early ORIF patients survived and one (3%) of the late ORIF patients died. There was a trend to shorter hospital LOS (25 ± 24 days vs. 37 ± 32 days) and a decreased 24-hour red cell transfusion rate (4.7 ± 5 U vs. 6.6 ± 4 U) in the early ORIF group. The intensive care unit admission rate (12 of 18 vs. 15 of 27) and LOS was comparable (2.9 ± 2.5 days vs. 3.7 ± 3.6 days). Conclusion: Acute ORIF of unstable pelvic ring fractures within 6 hours could be safely performed even in severely shocked patients with multiple injuries. The procedure did not lead to increased rates of transfusion, mortality, intensive care unit LOS, or overall LOS. Furthermore, all these parameters showed a trend toward benefit compared with a staged approach.]]> Sat 24 Mar 2018 08:08:21 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:21435 4 hours after injury or dead on arrival were excluded. Patient management followed advanced trauma life support and institutional guidelines. Collected data included patient demographics, mechanism of injury, vital signs, acid-base status, fluid resuscitation, trauma scores, fracture patterns, procedures, and outcomes. Potential predictors were identified using standard statistical tests: Univariate analysis, Pearson correlation (r), receiver operator characteristic, and decision tree analysis. Intervention: Observational study. Outcome Measures: PFRAB was determined based on angiography or computed tomography angiogram or laparotomy findings. Results: Of the 143 study patients, 15 (10%) had PFRAB. They were significantly older, more severely injured, more hypotensive, more acidotic, more likely to require transfusions in the ED, and had higher mortality rate than non-PFRAB patients. No single variable proved to be a strong predictor but some had a significant correlation with PFRAB. Useful predictors identified were worst base deficit (BD), receiver operator characteristic (0.77, cutoff: 6 mmol/L, r = 0.37), difference between any 2 measures of BD within 4 hours (ΔBD) >2 mmol/L, transfusion in ED (yes/no), and worst systolic blood pressure <104 mm Hg. Demographics, injury mechanism, fracture pattern, temperature, and pH had poor predictive value. Conclusions: BD <6 mmol/L, ΔBD >2 mmol/L, systolic blood pressure <104 mm Hg, and the need for transfusion in ED are independent predictors of PFRAB in the ED. These predictors can be valuable to triage blunt trauma victims for pelvic hemorrhage control with angiography.]]> Sat 24 Mar 2018 08:05:47 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: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:19238 Sat 24 Mar 2018 07:54:55 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:53032 95%) can be centrifuged/filtered from plasma in the size range of 0.45 to 5 μm, suggesting that there are larger forms of mtDNA-containing complexes in the plasma that could be considered cell-free. Whether this is true for trauma patients (and other relevant disease states) and the clinical relevance of the larger forms of mtDNA is unknown. These findings from healthy individuals also suggest that the centrifugation speeds used to generate cell-free plasma (which are rarely consistent among studies) could result in mixed populations of cell-free mtDNA that could confound associations with outcomes. We demonstrate in this study of 25 major trauma patients that the majority of the cell-free mtDNA in trauma patient plasma (>95%) is removed after centrifugation at 16,000g. Despite the larger forms of mtDNA being predominant, they do not correlate with outcomes or expected parameters such as injury/shock severity, multiple organ failure, and markers of inflammation, whereas low-molecular-weight cell-free mtDNA correlates strongly with these variables.]]> Mon 13 Nov 2023 08:46:11 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:50236 Mon 10 Jul 2023 14:50:01 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:45491 2) to either Victorian or NSW trauma centre, which were compared with univariate and logistic regression analysis to estimate odds ratio for mortality and intensive care unit (ICU) length of stay. Results: One hundred and ninety-two Victorian and 91 NSW patients did not differ in: demographics (males: 77% versus 79%; P = 0.7 and age: 34 (18-88) versus 33 (18-85); P = 0.7), Glasgow Coma Scale (3 (3-8) versus 5 (3-8); P = 0.07), and injury severity score (38 (26-75) versus 35 (18-75); P = 0.09), prehospital hypotension (15.4% versus 11.7%; P = 0.5) and desaturation (14.6% versus 17.5%; P = 0.5). Victorians had higher abbreviated injury scale head and neck (5 (4-5) versus 5 (3-6); P = 0.04) and more often successful PETI (85% versus 22%; P < 0.05). On logistic regression analysis, mortality did not differ among groups (31.7% versus 26.3%; P = 0.34; OR = 0.84; 95% CI: 0.38-1.86; P = 0.67). Among survivors, Victorians had longer stay in ICU (364 (231-486) versus 144 (60-336) h), a difference that persisted on gamma regression (effect = 1.58; 95% CI: 1.30-1.92; P < 0.05). Conclusion: Paramedics using RSI to obtain PETI in patients with traumatic brain injury had a higher success rate. This increase in successful PETI rate was not associated with an improvement in either mortality rate or ICU length of stay.]]> Fri 28 Oct 2022 15:46:11 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:50552 Fri 28 Jul 2023 10:31:47 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:39971 Fri 01 Jul 2022 09:16:31 AEST ]]>