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Featured researches published by David Edbrooke.


Intensive Care Medicine | 2005

SAPS 3—From evaluation of the patient to evaluation of the intensive care unit. Part 1: Objectives, methods and cohort description

Philipp G. H. Metnitz; Rui Moreno; Eduardo Almeida; Barbara Jordan; Peter Bauer; Ricardo Abizanda Campos; Gaetano Iapichino; David Edbrooke; Maurizia Capuzzo; Jean-Roger Le Gall

ObjectiveRisk adjustment systems now in use were developed more than a decade ago and lack prognostic performance. Objective of the SAPS 3 study was to collect data about risk factors and outcomes in a heterogeneous cohort of intensive care unit (ICU) patients, in order to develop a new, improved model for risk adjustment.DesignProspective multicentre, multinational cohort study.Patients and settingA total of 19,577 patients consecutively admitted to 307 ICUs from 14 October to 15 December 2002.Measurements and resultsData were collected at ICU admission, on days 1, 2 and 3, and the last day of the ICU stay. Data included sociodemographics, chronic conditions, diagnostic information, physiological derangement at ICU admission, number and severity of organ dysfunctions, length of ICU and hospital stay, and vital status at ICU and hospital discharge. Data reliability was tested with use of kappa statistics and intraclass-correlation coefficients, which were >0.85 for the majority of variables. Completeness of the data was also satisfactory, with 1 [0–3] SAPS II parameter missing per patient. Prognostic performance of the SAPS II was poor, with significant differences between observed and expected mortality rates for the overall cohort and four (of seven) defined regions, and poor calibration for most tested subgroups.ConclusionsThe SAPS 3 study was able to provide a high-quality multinational database, reflecting heterogeneity of current ICU case-mix and typology. The poor performance of SAPS II in this cohort underscores the need for development of a new risk adjustment system for critically ill patients.


JAMA Internal Medicine | 2011

The Persistent Exclusion of Older Patients From Ongoing Clinical Trials Regarding Heart Failure

Antonio Cherubini; Joaquim Oristrell; Xavier Pla; Carmelinda Ruggiero; Roberta Ferretti; Germán Diestre; A. Mark Clarfield; Peter Crome; C.M.P.M. Hertogh; Vita Lesauskaite; Gabriel-Ioan Prada; Katarzyna Szczerbińska; Eva Topinkova; Judith Sinclair-Cohen; David Edbrooke; Gary H. Mills

BACKGROUND Much clinical research of relevance to elderly patients examines individuals who are younger than those who have the disease in question. A good example is heart failure. Therefore, we investigated the extent of exclusion of older individuals in ongoing clinical trials regarding heart failure. METHODS In the context of the Increasing the PaRticipation of the ElDerly in Clinical Trials (PREDICT) study, data from ongoing clinical trials regarding heart failure were extracted from the World Health Organization Clinical Trials Registry Platform on December 1, 2008. Main outcome measures were the proportion of trials excluding patients by an arbitrary upper age limit or by other exclusion criteria that might indirectly cause limited recruitment of older individuals. We classified exclusion criteria into 2 categories: justified or poorly justified. RESULTS Among 251 trials investigating treatments for heart failure, 64 (25.5%) excluded patients by an arbitrary upper age limit. Such exclusion was significantly more common in trials conducted in the European Union than in the United States (31/96 [32.3%] vs 17/105 [16.2%]; P = .007) and in drug trials sponsored by public institutions vs those by private entities (21/59 [35.6%] vs 5/36 [13.9%]; P = .02). Overall, 109 trials (43.4%) on heart failure had 1 or more poorly justified exclusion criteria that could limit the inclusion of older individuals. A similar proportion of clinical trials with poorly justified exclusion criteria was found in pharmacologic and nonpharmacologic trials. CONCLUSION Despite the recommendations of national and international regulatory agencies, exclusion of older individuals from ongoing trials regarding heart failure continues to be widespread.


Critical Care Medicine | 2012

The Eldicus prospective, observational study of triage decision making in European intensive care units. Part II: intensive care benefit for the elderly.

Charles L. Sprung; Antonio Artigas; Jozef Kesecioglu; Angelo Pezzi; Joergen Wiis; Romain Pirracchio; Mario Baras; David Edbrooke; Antonio Pesenti; Jan Bakker; Chris Hargreaves; Gabriel M. Gurman; Simon L. Cohen; Anne Lippert; Didier Payen; Davide Corbella; Gaetano Iapichino

Rationale:Life and death triage decisions are made daily by intensive care unit physicians. Admission to an intensive care unit is denied when intensive care unit resources are constrained, especially for the elderly. Objective:To determine the effect of intensive care unit triage decisions on mortality and intensive care unit benefit, specifically for elderly patients. Design:Prospective, observational study of triage decisions from September 2003 until March 2005. Setting:Eleven intensive care units in seven European countries. Patients:All patients >18 yrs with an explicit request for intensive care unit admission. Interventions:Admission or rejection to intensive care unit. Measurements and Main Results:Demographic, clinical, hospital, physiologic variables, and 28-day mortality were obtained on consecutive patients. There were 8,472 triages in 6,796 patients, 5,602 (82%) were accepted to the intensive care unit, 1,194 (18%) rejected; 3,795 (49%) were ≥65 yrs. Refusal rate increased with increasing patient age (18–44: 11%; 45–64: 15%; 65–74: 18%; 75–84: 23%; >84: 36%). Mortality was higher for older patients (18–44: 11%; 45–64: 21%; 65–74: 29%; 75–84: 37%; >84: 48%). Differences between mortalities of accepted vs. rejected patients, however, were greatest for older patients (18–44: 10.2% vs. 12.5%; 45–64: 21.2% vs. 22.3%; 65–74: 27.9% vs. 34.6%; 75–84: 35.5% vs. 40.4%; >84: 41.5% vs. 58.5%). Logistic regression showed a greater mortality reduction for accepted vs. rejected patients corrected for disease severity for elderly patients (age >65 [odds ratio 0.65, 95% confidence interval 0.55–0.78, p < .0001]) than younger patients (age <65 [odds ratio 0.74, 95% confidence interval 0.57–0.97, p = .01]). Conclusions:Despite the fact that elderly patients have more intensive care unit rejections than younger patients and have a higher mortality when admitted, the mortality benefit appears greater for the elderly. Physicians should consider changing their intensive care unit triage practices for the elderly. (Crit Care Med 2012; 40:132–138)


Intensive Care Medicine | 1997

A new method of accurately identifying costs of individual patients in intensive care : the initial results

David Edbrooke; V. G. Stevens; C. L. Hibbert; A. J. Mann; A. J. Wilson

Objectives: To analyse the patient-related and non-patient-related costs of intensive care using an activity-based costing methodology. Design: A retrospective cost analysis of 68 patients admitted sequentially over a 10-week period. Setting: The Adult General Intensive Care Unit of the Royal Hallamshire Hospital, Sheffield. Results: The results showed large variations in the costs obtained for individual patients. The calculation of the costs for the initial period of stay showed a wide variation depending on whether the costs were determined per calendar day or per first 24-h period. Significant correlations of costs between the first 24 h of stay and the admitting Acute Physiology and Chronic Health II score (p < 0.004) and daily costs with the Therapeutic Intervention Scoring System scores (p < 0.0001) were found. The average daily patient-related cost of care was


Critical Care Medicine | 1999

The patient-related costs of care for sepsis patients in a United Kingdom adult general intensive care unit.

David Edbrooke; Clare L. Hibbert; Judith M. Kingsley; Sandy Smith; Nicola M. Bright; Julie M. Quinn

L 592. Overhead costs were calculated at


Anaesthesia | 1999

The development of a method for comparative costing of individual intensive care units

David Edbrooke; C. L. Hibbert; S. Ridley; T. Long; H. Dickie

L 560 per patient day, which made the total cost of a days treatment in intensive care


Drugs & Aging | 2011

Exclusion of older people from clinical trials: professional views from nine European countries participating in the PREDICT study.

Peter Crome; Frank Lally; Antonio Cherubini; Joaquim Oristrell; Andrew D Beswick; A. Mark Clarfield; C.M.P.M. Hertogh; Vita Lesauskaite; Gabriel I. Prada; Katarzyna Szczerbińska; Eva Topinkova; Judith Sinclair-Cohen; David Edbrooke; Gary H. Mills

L 1152. Conclusions: The use of average costs or scoring systems to cost intensive care is limited, as these methods cannot determine actual resource usage in individual patients. The methodology described here allows all the resources used by an individual patient or group of patients to be identified and thus provides a valuable tool for economic evaluations of different treatment modalities.


Critical Care Medicine | 2012

The Eldicus prospective, observational study of triage decision making in European intensive care units: Part I—European Intensive Care Admission Triage Scores*

Charles L. Sprung; Mario Baras; Gaetano Iapichino; Jozef Kesecioglu; Anne Lippert; Chris Hargreaves; Angelo Pezzi; Romain Pirracchio; David Edbrooke; Antonio Pesenti; Jan Bakker; Gabriel M. Gurman; Simon L. Cohen; Joergen Wiis; Didier Payen; Antonio Artigas

OBJECTIVE To determine the patient-related costs of care for critically ill patients with severe sepsis or early septic shock. DESIGN Retrospective, longitudinal, observational study during a 10-month period. SETTING Adult general intensive care unit (ICU) in a university hospital located in the United Kingdom. PATIENTS The study population consisted of 213 patients admitted consecutively to the ICU during a 10-month period. Thirty-six patients were identified using standard definitions as having developed sepsis and analyzed by group (according to the day on which sepsis was diagnosed): Group 1 patients were septic at admission to ICU (n = 16); group 2 patients were septic on their second day in the ICU (n = 10); and group 3 patients developed sepsis after their second day in the ICU (n = 10). One hundred and seventy-seven ICU patients without sepsis were used as the comparative group (group 4). INTERVENTIONS None. MAIN RESULTS Patient-related costs of care, length of ICU stay, and ICU and hospital mortality rates were compiled. The median daily costs of care for patients in groups 1, 2, and 3 were


Anaesthesia | 2001

Variations in expenditure between adult general intensive care units in the UK

David Edbrooke; S. A. Ridley; C. L. Hibbert; M. Corcoran

930.74 (interquartile range


Critical Care | 2011

Implications of ICU triage decisions on patient mortality: a cost-effectiveness analysis

David Edbrooke; Cosetta Minelli; Gary H. Mills; Gaetano Iapichino; Angelo Pezzi; Davide Corbella; Philip Jacobs; Anne Lippert; Joergen Wiis; Antonio Pesenti; Nicolò Patroniti; Romain Pirracchio; Didier Payen; Gabriel M. Gurman; Jan Bakker; Jozef Kesecioglu; Chris Hargreaves; Simon L. Cohen; Mario Baras; Antonio Artigas; Charles L. Sprung

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C. L. Hibbert

Royal Hallamshire Hospital

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Antonio Artigas

Autonomous University of Barcelona

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Charles L. Sprung

Hebrew University of Jerusalem

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Guido Van Steendam

Katholieke Universiteit Leuven

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C.M.P.M. Hertogh

VU University Medical Center

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