Dr Jorge Brieva
Conjoint Senior Lecturer
School of Medicine and Public Health
- Email:jorge.brieva@newcastle.edu.au
- Phone:02-49214241
Career Summary
Biography
Completed Medical School at the University of Buenos Aires
Physician training in Argentina. Pulmonary & Critical Care at the Jackson Memorial Hospital in Miami, USA
Intensive care Medicine training in Australia. Fellow of the CICM
Keywords
- Intensive Care Medicine
Languages
- Spanish (Mother)
Professional Experience
Professional appointment
Dates | Title | Organisation / Department |
---|---|---|
1/2/2005 - | Senior Staff Specialist | Intensive Care Unit, John Hunter Hospital Australia |
Publications
For publications that are currently unpublished or in-press, details are shown in italics.
Journal article (15 outputs)
Year | Citation | Altmetrics | Link | ||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
2022 |
Tamblyn R, Brieva J, Cain M, Martinez FE, 'The Effects of Introducing a Mobile App-Based Procedural Logbook on Trainee Compliance to a Central Venous Catheter Insertion Accreditation Program: Before-and-After Study.', JMIR Hum Factors, 9 e35199 (2022) [C1]
|
Nova | |||||||||
2018 |
Potter JE, Perry L, Elliott RM, Aneman A, Brieva JL, Cavazzoni E, et al., 'Communication with Families Regarding Organ and Tissue Donation after Death in Intensive Care (COMFORT): A multicentre before-and-after study', Critical Care and Resuscitation, 20 268-276 (2018) Objective: To implement a best-practice intervention offering deceased organ donation, testing whether it increased family consent rates. Design: A multicentre before-and-after st... [more] Objective: To implement a best-practice intervention offering deceased organ donation, testing whether it increased family consent rates. Design: A multicentre before-and-after study of a prospective cohort compared with pre-intervention controls. Setting: Nine Australian intensive care units. Participants: Families and health care professionals caring for donor-eligible patients without registered donation preferences or aged = 16 years. Intervention: A multicomponent intervention including offers of deceased organ donation from specially trained designated requesters using a structured conversation separate to end-of-life discussions. Main outcome measure: Proportion of families consenting to organ donation. Results: Consent was obtained in 87/164 cases (53%) during the intervention period compared with 14/25 cases (56%) pre-intervention (P = 0.83). The odds ratio (OR) of obtaining consent during the intervention period relative to pre-intervention was 1.13 (95% CI, 0.48¿2.63; P = 0.78). During the intervention period, designated requesters obtained consent in 55/98 cases (56%), compared with 32/66 cases (48%) in which the medical team managing patient care raised donation (P = 0.34). Factors independently associated with increased consent were: family-raised organ donation (OR, 4.34; 95% CI, 1.79¿10.52; P = 0.001), presence of an independent designated requester (OR, 3.84; 95% CI, 1.35¿ 10.98; P = 0.012), and multiple donation conversations per case (OR, 3.35; 95% CI, 1.93¿5.81; P < 0.001). Consent decreased when patients were of non-Christian religion (OR, 0.18; 95% CI, 0.04¿0.91; P = 0.038) and end-of-life and donation meetings were separate (OR, 0.38; 95% CI, 0.16¿0.89; P = 0.026). Conclusion: Implementation of a multicomponent intervention did not increase consent rates for organ donation, although some components of the intervention exerted significant effect.
|
||||||||||
2017 |
Potter JE, Herkes RG, Perry L, Elliott RM, Aneman A, Brieva JL, et al., 'COMmunication with Families regarding ORgan and Tissue donation after death in intensive care (COMFORT): Protocol for an intervention study', BMC Health Services Research, 17 (2017) Background: Discussing deceased organ donation can be difficult not only for families but for health professionals who initiate and manage the conversations. It is well recognised... [more] Background: Discussing deceased organ donation can be difficult not only for families but for health professionals who initiate and manage the conversations. It is well recognised that the methods of communication and communication skills of health professionals are key influences on decisions made by families regarding organ donation. Methods: This multicentre study is being performed in nine intensive care units with follow-up conducted by the Organ and Tissue Donation Service in New South Wales (NSW) Australia. The control condition is pre-intervention usual practice for at least six months before each site implements the intervention. The COMFORT intervention consists of six elements: family conversations regarding offers for organ donation to be led by a "designated requester"; family offers for donation are deferred to the designated requester; the offer of donation is separated from the end-of-life discussion that death is inevitable; it takes place within a structured family donation conversation using a "balanced" approach. Designated requesters may be intensivists, critical care nurses or social workers prepared by attending the three-day national "Family Donation Conversation" workshops, and the half-day NSW Simulation Program. The design is pre-post intervention to compare rates of family consent for organ donation six months before and under the intervention. Each ICU crosses from using the control to intervention condition after the site initiation visit. The primary endpoint is the consent rate for deceased organ donation calculated from 140 eligible next of kin families. Secondary endpoints are health professionals' adherence rates to core elements of the intervention; identification of predictors of family donation decision; and the proportion of families who regret their final donation decision at 90 days. Discussion: The pragmatic design of this study may identify 'what works' in usual clinical settings when requesting organ donation in critical care areas, both in terms of changes in practice healthcare professionals are willing and able to adopt, and the effect this may have on desired outcomes. The findings of this study will be indicative of the potential benefits of the intervention and be relevant and transferrable to clinical settings in other states and countries. Trial registration: Australian New Zealand Clinical Trials Registry (ANZCTR): ACTRN12613000815763 (24 July 2013). ClinicalTrials.gov: NCT01922310 (14 August 2013) (retrospectively registered).
|
||||||||||
2014 |
Brieva J, Coleman N, Lacey J, Harrigan P, Lewin TJ, Carter GL, 'Prediction of death in less than 60 minutes after withdrawal of cardiorespiratory support in potential organ donors after circulatory death', Transplantation, 98 1112-1118 (2014) [C1] Background: Given the stable number of potential organ donors after brain death, donors after circulatory death have been an increasing source of organs procured for transplant. A... [more] Background: Given the stable number of potential organ donors after brain death, donors after circulatory death have been an increasing source of organs procured for transplant. Among the most important considerations for donation after circulatory death (DCD) is the prediction that death will occur within a reasonable period of time after the withdrawal of cardiorespiratory support (WCRS). Accurate prediction of time to death is necessary for the procurement process. We aimed to develop simple predictive rules for death in less than 60 min and test the accuracy of these rules in a pool of potential DCD donors. Methods: A multicenter prospective longitudinal cohort design of DCD eligible patients (n=318), with the primary binary outcome being death in less than 60 min after withdrawal of cardiorespiratory support conducted in 28 accredited intensive care units (ICUs) in Australia. We used a random split-half method to produce two samples, first to develop the predictive classification rules and then to estimate accuracy in an independent sample. Results: The best classification model used only three simple classification rules to produce an overall efficiency of 0.79 (0.72-0.85), sensitivity of 0.82 (0.73-0.90), and a positive predictive value of 0.80 (0.70-0.87) in the independent sample. Using only intensive care unit specialist prediction (a single classification rule) produced comparable efficiency 0.80 (0.73-0.86), sensitivity 0.87 (0.78-0.93), and positive predictive value 0.78 (0.68-0.86). Conclusion: This best predictive model missed only 18% of all potential donors. A positive prediction would be incorrect on only 20% of occasions, meaning there is an acceptable level of lost opportunity costs involved in the unnecessary assembly of transplantation teams and theatres.
|
Nova | |||||||||
2014 |
Bellomo R, Cass A, Cole L, Finfer S, Gallagher M, Lee J, et al., 'Calorie intake and patient outcomes in severe acute kidney injury: Findings from The Randomized Evaluation of Normal vs. Augmented Level of Replacement Therapy (RENAL) study trial', Critical Care, 18 (2014) Introduction: Current practice in the delivery of caloric intake (DCI) in patients with severe acute kidney injury (AKI) receiving renal replacement therapy (RRT) is unknown. We a... [more] Introduction: Current practice in the delivery of caloric intake (DCI) in patients with severe acute kidney injury (AKI) receiving renal replacement therapy (RRT) is unknown. We aimed to describe calorie administration in patients enrolled in the Randomized Evaluation of Normal vs. Augmented Level of Replacement Therapy (RENAL) study and to assess the association between DCI and clinical outcomes.Methods: We performed a secondary analysis in 1456 patients from the RENAL trial. We measured the dose and evolution of DCI during treatment and analyzed its association with major clinical outcomes using multivariable logistic regression, Cox proportional hazards models, and time adjusted models.Results: Overall, mean DCI during treatment in ICU was low at only 10.9 ± 9 Kcal/kg/day for non-survivors and 11 ± 9 Kcal/kg/day for survivors. Among patients with a lower DCI (below the median) 334 of 729 (45.8%) had died at 90-days after randomization compared with 316 of 727 (43.3%) patients with a higher DCI (above the median) (P = 0.34). On multivariable logistic regression analysis, mean DCI carried an odds ratio of 0.95 (95% confidence interval (CI): 0.91-1.00; P = 0.06) per 100 Kcal increase for 90-day mortality. DCI was not associated with significant differences in renal replacement (RRT) free days, mechanical ventilation free days, ICU free days and hospital free days. These findings remained essentially unaltered after time adjusted analysis and Cox proportional hazards modeling.Conclusions: In the RENAL study, mean DCI was low. Within the limits of such low caloric intake, greater DCI was not associated with improved clinical outcomes. © 2014 Bellomo et al.; licensee BioMed Central Ltd.
|
||||||||||
2013 |
Brieva J, Coleman N, Lacey J, Harrigan P, Lewin TJ, Carter GL, 'Prediction of death in less than 60 minutes following withdrawal of cardiorespiratory support in ICUs.', Crit Care Med, 41 2677-2687 (2013) [C1]
|
Nova | |||||||||
2013 |
Hardy BM, Chan S, Martin AB, Brieva J, Gallagher A, Sokolowsky A, Balogh ZJ, 'Temperature change in the helicopter transport of trauma patients', ANZ JOURNAL OF SURGERY, 83 894-895 (2013) [C3]
|
||||||||||
2009 |
Rashid AH, Brieva JL, Stokes BJ, 'Incidence of contrast-induced nephropathy in intensive care patients undergoing computerised tomography and prevalence of risk factors', Anaesthesia and Intensive Care, 37 968-975 (2009) [C1]
|
Nova | |||||||||
Show 12 more journal articles |
Conference (2 outputs)
Year | Citation | Altmetrics | Link | ||
---|---|---|---|---|---|
2017 |
Brieva J, 'Does Training of Intensive Care Specialists Improve Organ Donation Consent Rates, When Excluding "Family Raised" Cases?', TRANSPLANTATION, Geneva, SWITZERLAND (2017)
|
||||
1997 |
Cassano C, Perez M, Capalbo M, Rial M, Brieva J, Russomando S, et al., 'Outcome of renal transplantation with kidneys from marginal donors (preliminary communication)', Transplantation Proceedings (1997)
|
Dr Jorge Brieva
Position
Conjoint Senior Lecturer
School of Medicine and Public Health
College of Health, Medicine and Wellbeing
Contact Details
jorge.brieva@newcastle.edu.au | |
Phone | 02-49214241 |
Office
Building | John Hunter Hospital |
---|