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Your search keyword '"Bellomo, Rinaldo"' showing total 35 results
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35 results on '"Bellomo, Rinaldo"'

1. Hemoadsorption: Consensus report of the 30th Acute Disease Quality Initiative workgroup

Author

Ankawi, Ghada, primary, Bagshaw, Sean M, additional, Bellomo, Rinaldo, additional, Baldwin, Ian, additional, Basu, Rajit, additional, Bottari, Gabriella, additional, Cantaluppi, Vincenzo, additional, Clark, William, additional, De Rosa, Silvia, additional, Forni, Lui G, additional, Fuhrman, Dana, additional, Goldstein, Stuart, additional, Gomez, Hernando, additional, Husain-Syed, Faeq, additional, Joannidis, Michael, additional, Kashani, Kianoush, additional, Lorenzin, Anna, additional, Mehta, Ravindra, additional, Murray, Patrick T, additional, Murugan, Ragi, additional, Ostermann, Marlies, additional, Pannu, Neesh, additional, Premuzic, Vedran, additional, Prowle, John, additional, Reis, Thiago, additional, Rimmelé, Thomas, additional, Ronco, Claudio, additional, Rosner, Mitch, additional, Schneider, Antoine, additional, See, Emily, additional, Soranno, Danielle, additional, Villa, Gianluca, additional, Whaley-Connell, Adam, additional, and Zarbock, Alexander, additional

Published
2024
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10. Biomarkers in kidney and heart disease

Author

Maisel, Alan S., Katz, Nevin, Hillege, Hans L., Shaw, Andrew, Zanco, Pierluigi, Bellomo, Rinaldo, Anand, Inder, Anker, Stefan D., Aspromonte, Nadia, Bagshaw, Sean M., Berl, Tomas, Bobek, Ilona, Cruz, Dinna N., Daliento, Luciano, Davenport, Andrew, Haapio, Mikko, House, Andrew A., Mankad, Sunil, McCullough, Peter, Mebazaa, Alexandre, Palazzuoli, Alberto, Ponikowski, Piotr, Ronco, Federico, Sheinfeld, Geoff, Soni, Sachin, Vescovo, Giorgio, Zamperetti, Nereo, and Ronco, Claudio

Published
2011
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14. Prevention of cardio-renal syndromes: workgroup statements from the 7th ADQI Consensus Conference

Author

McCullough, Peter A., Haapio, Mikko, Mankad, Sunil, Zamperetti, Nereo, Massie, Barry, Bellomo, Rinaldo, Berl, Tomas, Anker, Stefan D., Anand, Inder, Aspromonte, Nadia, Bagshaw, Sean M., Bobek, Ilona, Cruz, Dinna N., Daliento, Luciano, Davenport, Andrew, Hillege, Hans, House, Andrew A., Katz, Nevin, Maisel, Alan, Mebazaa, Alexandre, Palazzuoli, Alberto, Ponikowski, Piotr, Ronco, Federico, Shaw, Andrew, Sheinfeld, Geoff, Soni, Sachin, Vescovo, Giorgio, Zanco, Pierluigi, and Ronco, Claudio

Published
2010
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16. Epidemiology of cardio-renal syndromes: workgroup statements from the 7th ADQI Consensus Conference

Author

Bagshaw, Sean M., Cruz, Dinna N., Aspromonte, Nadia, Daliento, Luciano, Ronco, Federico, Sheinfeld, Geoff, Anker, Stefan D., Anand, Inder, Bellomo, Rinaldo, Berl, Tomas, Bobek, Ilona, Davenport, Andrew, Haapio, Mikko, Hillege, Hans, House, Andrew, Katz, Nevin, Maisel, Alan, Mankad, Sunil, McCullough, Peter, Mebazaa, Alexandre, Palazzuoli, Alberto, Ponikowski, Piotr, Shaw, Andrew, Soni, Sachin, Vescovo, Giorgio, Zamperetti, Nereo, Zanco, Pierluigi, and Ronco, Claudio

Published
2010
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17. Definition and classification of Cardio-Renal Syndromes: workgroup statements from the 7th ADQI Consensus Conference

Author

House, Andrew A., Anand, Inder, Bellomo, Rinaldo, Cruz, Dinna, Bobek, Ilona, Anker, Stefan D., Aspromonte, Nadia, Bagshaw, Sean, Berl, Tomas, Daliento, Luciano, Davenport, Andrew, Haapio, Mikko, Hillege, Hans, McCullough, Peter, Katz, Nevin, Maisel, Alan, Mankad, Sunil, Zanco, Pierluigi, Mebazaa, Alexandre, Palazzuoli, Alberto, Ronco, Federico, Shaw, Andrew, Sheinfeld, Geoff, Soni, Sachin, Vescovo, Giorgio, Zamperetti, Nereo, Ponikowski, Piotr, and Ronco, Claudio

Published
2010
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26. Early net ultrafiltration rate and mortality in critically ill patients receiving continuous renal replacement therapy.

Author

Naorungroj, Thummaporn, Neto, Ary Serpa, Zwakman-Hessels, Lara, Yanase, Fumitaka, Eastwood, Glenn, Murugan, Raghavan, Kellum, John A, and Bellomo, Rinaldo

Subjects
RENAL replacement therapy, APACHE (Disease classification system), DEATH rate, CRITICALLY ill, ULTRAFILTRATION
Abstract

Background In patients treated with continuous renal replacement therapy (CRRT), early net ultrafiltration (NUF) rates may be associated with differential outcomes. We tested whether higher early NUF rates are associated with increased mortality in CRRT patients. Methods We performed a retrospective, observational study of all patients treated with CRRT within 14 days of intensive care unit admission. We defined the early (first 48 h) NUF rate as the volume of fluid removed per hour adjusted for patient body weight and analysed as a categorical variable (>1.75, 1.01–1.75 and <1.01 mL/kg/h). The primary outcome was 28-day mortality. To deal with competing risk, we also compared different time epochs. Results We studied 347 patients {median age 64 [interquartile range (IQR) 53–71] years and Acute Physiology and Chronic Health Evaluation III score 73 [IQR 54–90]}. Compared with NUF rates <1.01 mL/kg/h, NUF rates >1.75 mL/kg/h were associated with greater mortality rates in each epoch: Days 0–5, adjusted hazard ratio (aHR) 1.27 [95% confidence interval (CI) 1.21–1.33]; Days 6–10, aHR 1.62 (95% CI 1.55–1.68); Days 11–15, aHR 1.87 (95% CI 1.79–1.94); Days 16–26, aHR 1.92 (95% CI 1.84–2.01) and Days 27–28, aHR 4.18 (95% CI 3.98–4.40). For every 0.5 mL/kg/h NUF rate increase, mortality similarly increased during these epochs. Conclusion Compared with early NUF rates <1.01 mL/kg/h, NUF rates >1.75 mL/kg/h are associated with increased mortality. These observations provide the rationale for clinical trials to confirm or refute these findings. [ABSTRACT FROM AUTHOR]

Published
2021
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29. Persistent decrease of renal functional reserve in patients after cardiac surgery-associated acute kidney injury despite clinical recovery

Author

Husain-Syed, Faeq, primary, Ferrari, Fiorenza, additional, Sharma, Aashish, additional, Hinna Danesi, Tommaso, additional, Bezerra, Pércia, additional, Lopez-Giacoman, Salvador, additional, Samoni, Sara, additional, de Cal, Massimo, additional, Corradi, Valentina, additional, Virzì, Grazia Maria, additional, De Rosa, Silvia, additional, Muciño Bermejo, María Jimena, additional, Estremadoyro, Carla, additional, Villa, Gianluca, additional, Zaragoza, Jose J, additional, Caprara, Carlotta, additional, Brocca, Alessandra, additional, Birk, Horst-Walter, additional, Walmrath, Hans-Dieter, additional, Seeger, Werner, additional, Nalesso, Federico, additional, Zanella, Monica, additional, Brendolan, Alessandra, additional, Giavarina, Davide, additional, Salvador, Loris, additional, Bellomo, Rinaldo, additional, Rosner, Mitchell H, additional, Kellum, John A, additional, and Ronco, Claudio, additional

Published
2018
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32. Renal replacement therapy intensity for acute kidney injury and recovery to dialysis independence: a systematic review and individual patient data meta-analysis

Author

Wang, Ying, primary, Gallagher, Martin, additional, Li, Qiang, additional, Lo, Serigne, additional, Cass, Alan, additional, Finfer, Simon, additional, Myburgh, John, additional, Bouman, Catherine, additional, Faulhaber-Walter, Robert, additional, Kellum, John A, additional, Palevsky, Paul M, additional, Ronco, Claudio, additional, Saudan, Patrick, additional, Tolwani, Ashita, additional, and Bellomo, Rinaldo, additional

Published
2017
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35. A comparison of observed versus estimated baseline creatinine for determination of RIFLE class in patients with acute kidney injury

Author

Hiroshi Morimatsu, Etienne Macedo, Ian Tan, Catherine S. C. Bouman, Rinaldo Bellomo, John A. Kellum, Noel Gibney, Sean M. Bagshaw, Miet Schetz, Shigehiko Uchino, Ashita Tolwani, Heleen M. Oudemans-van Straaten, Dinna N. Cruz, Stanislao Morgera, Claudio Ronco, Bagshaw, Sean M., Uchino, Shigehiko, Cruz, Dinna, Bellomo, Rinaldo, Morimatsu, Hiroshi, Morgera, Stanislao, Schetz, Miet, Tan, Ian, Bouman, Catherine, Macedo, Etienne, Gibney, Noel, Tolwani, Ashita, Oudemans-Van Straaten, Heleen M., Ronco, Claudio, Kellum, John A (Beginning and Ending Supportive Therapy for the Kidney (BEST Kidney) Investigators), Pappalardo, F., AII - Amsterdam institute for Infection and Immunity, Intensive Care Medicine, ACS - Amsterdam Cardiovascular Sciences, and Intensive care medicine

Subjects
Male, medicine.medical_specialty, Databases, Factual, RIFLE criteria, medicine.medical_treatment, Renal function, Kidney, urologic and male genital diseases, behavioral disciplines and activities, Cohort Studies, chemistry.chemical_compound, Internal medicine, Validation, medicine, Humans, Rifle, Prospective Studies, Prospective cohort study, Consensus definition, Aged, Transplantation, Creatinine, business.industry, Acute kidney injury, Acute Kidney Injury, Middle Aged, medicine.disease, female genital diseases and pregnancy complications, Surgery, Prospective Studie, chemistry, Nephrology, Acute Disease, Cardiology, Female, Hemodialysis, Cohort Studie, business, Human, Kidney disease, Cohort study
Abstract

Background The RIFLE classification scheme for acute kidney injury (AKI) is based on relative changes in serum creatinine (SCr) and on urine output. The SCr criteria, therefore, require a pre-morbid baseline value. When unknown, current recommendations are to estimate a baseline SCr by the MDRD equation. However, the MDRD approach assumes a glomerular filtration rate of approximately 75 mL/min/1.73 m(2). This method has not been validated. Methods Data from the Beginning and Ending Supportive Therapy for the Kidney (BEST Kidney) study, a prospective observational study from 54 ICUs in 23 countries of critically ill patients with severe AKI, were analysed. The RIFLE class was determined by using observed (o) pre-morbid and estimated (e) baseline SCr values. Agreement was evaluated by correlation coefficients and Bland-Altman plots. Sensitivity analysis by chronic kidney disease (CKD) status was performed. Results Seventy-six percent of patients (n = 1327) had a pre-morbid baseline SCr, and 1314 had complete data for evaluation. Forty-six percent had CKD. The median (IQR) values were 97 micromol/L (79-150) for oSCr and 88 micromol/L (71-97) for eSCr. The oSCr and eSCr determined at ICU admission and at study enrolment showed only a modest correlation (r = 0.49, r = 0.39). At ICU admission and study enrolment, eSCr misclassified 18.8% and 11.7% of patients as having AKI compared with oSCr. Exclusion of CKD patients improved the correlation between oSCr and eSCr at ICU admission and study enrolment (r = 0.90, r = 0.84) resulting in 6.6% and 4.0% being misclassified, respectively. Conclusions While limited, estimating baseline SCr by the MDRD equation when pre-morbid SCr is unavailable would appear to perform reasonably well for determining the RIFLE categories only if and when pre-morbid GFR was near normal. However, in patients with suspected CKD, the use of MDRD to estimate baseline SCr overestimates the incidence of AKI and should not likely be used. Improved methods to estimate baseline SCr are needed.

Published
2009

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