Literature DB >> 36033243

Renal replacement anticoagulant management: Protocol and analysis plan for an observational comparative effectiveness study of linked data sources.

Doug W Gould1, James Doidge1, M Zia Sadique2, Mark Borthwick3, Fergus J Caskey4, Lui Forni5,6, Robert F Lawrence7, Clare MacEwen3, Paul R Mouncey1, Marlies Ostermann8, David A Harrison1, Kathryn M Rowan1, J Duncan Young9, Peter J Watkinson9.   

Abstract

Acute kidney injury is common in critical illness. In patients with severe acute kidney injury, renal replacement therapy is needed to prevent harm from metabolic and electrolyte disturbances and fluid overload. In the UK, continuous renal replacement therapy (CRRT) is the preferred modality, which requires anticoagulation. Over the last decade, conventional systemic heparin anticoagulation has started being replaced by regional citrate anticoagulation for CRRT, which is now used in approximately 50% of ICUs. This shift towards regional citrate anticoagulation for CRRT is occurring with little evidence of safety or longer term effectiveness. Renal replacement anticoagulant management (RRAM) is an observational comparative effectiveness study, utilising existing data sources to address the clinical and cost-effectiveness of the change to regional citrate anticoagulation for CRRT in UK ICUs. The study will use data from approximately 85,000 patients who were treated in adult, general ICUs participating in the case mix programme national clinical audit between 1 April 2009 and 31 March 2017. A survey of health service providers' anticoagulation practices will be combined with treatment and hospital outcome data from the case mix programme and linked with long-term outcomes from the Civil Registrations (deaths), Hospital Episodes Statistics for England, Patient Episodes Data for Wales, and the UK Renal Registry datasets. The primary clinical effectiveness outcome is all-cause mortality at 90-days. The study will incorporate an economic evaluation with micro-costing of both regional citrate anticoagulation and systemic heparin anticoagulation. Study registration: NCT03545750. © The Intensive Care Society 2020.

Entities:  

Keywords:  Acute kidney injury; anticoagulant; citrate; heparin; renal replacement

Year:  2020        PMID: 36033243      PMCID: PMC9411766          DOI: 10.1177/1751143720913417

Source DB:  PubMed          Journal:  J Intensive Care Soc        ISSN: 1751-1437


  17 in total

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Authors:  A K Wagner; S B Soumerai; F Zhang; D Ross-Degnan
Journal:  J Clin Pharm Ther       Date:  2002-08       Impact factor: 2.512

2.  Interrupted time series designs in health technology assessment: lessons from two systematic reviews of behavior change strategies.

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3.  Using the outcome for imputation of missing predictor values was preferred.

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Journal:  J Clin Epidemiol       Date:  2006-06-19       Impact factor: 6.437

Review 4.  Developing a New Definition and Assessing New Clinical Criteria for Septic Shock: For the Third International Consensus Definitions for Sepsis and Septic Shock (Sepsis-3).

Authors:  Manu Shankar-Hari; Gary S Phillips; Mitchell L Levy; Christopher W Seymour; Vincent X Liu; Clifford S Deutschman; Derek C Angus; Gordon D Rubenfeld; Mervyn Singer
Journal:  JAMA       Date:  2016-02-23       Impact factor: 56.272

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Authors:  Ian R White; Patrick Royston; Angela M Wood
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Review 6.  Regional citrate anticoagulation for RRTs in critically ill patients with AKI.

Authors:  Santo Morabito; Valentina Pistolesi; Luigi Tritapepe; Enrico Fiaccadori
Journal:  Clin J Am Soc Nephrol       Date:  2014-07-03       Impact factor: 8.237

Review 7.  Renal replacement therapy and anticoagulation.

Authors:  Timo Brandenburger; Thomas Dimski; Torsten Slowinski; Detlef Kindgen-Milles
Journal:  Best Pract Res Clin Anaesthesiol       Date:  2017-08-24

8.  Regression based quasi-experimental approach when randomisation is not an option: interrupted time series analysis.

Authors:  Evangelos Kontopantelis; Tim Doran; David A Springate; Iain Buchan; David Reeves
Journal:  BMJ       Date:  2015-06-09

9.  Study protocol: the Intensive Care Outcome Network ('ICON') study.

Authors:  John A Griffiths; Kayleigh Morgan; Vicki S Barber; J Duncan Young
Journal:  BMC Health Serv Res       Date:  2008-06-17       Impact factor: 2.655

10.  Multiple imputation of covariates by fully conditional specification: Accommodating the substantive model.

Authors:  Jonathan W Bartlett; Shaun R Seaman; Ian R White; James R Carpenter
Journal:  Stat Methods Med Res       Date:  2014-02-12       Impact factor: 3.021

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