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1.
Acta Anaesthesiol Scand ; 62(10): 1443-1451, 2018 11.
Artículo en Inglés | MEDLINE | ID: mdl-29926908

RESUMEN

BACKGROUND: Oxygen is liberally administered in intensive care units (ICUs). Nevertheless, ICU doctors' preferences for supplementing oxygen are inadequately described. The aim was to identify ICU doctors' preferences for arterial oxygenation levels in mechanically ventilated adult ICU patients. METHODS: In April to August 2016, an online multiple-choice 17-part-questionnaire was distributed to 1080 ICU doctors in seven Northern European countries. Repeated reminder e-mails were sent. The study ended in October 2016. RESULTS: The response rate was 63%. When evaluating oxygenation 52% of respondents rated arterial oxygen tension (PaO2 ) the most important parameter; 24% a combination of PaO2 and arterial oxygen saturation (SaO2 ); and 23% preferred SaO2 . Increasing, decreasing or not changing a default fraction of inspired oxygen of 0.50 showed preferences for a PaO2 around 8 kPa in patients with chronic obstructive pulmonary disease, a PaO2 around 10 kPa in patients with healthy lungs, acute respiratory distress syndrome or sepsis, and a PaO2 around 12 kPa in patients with cardiac or cerebral ischaemia. Eighty per cent would accept a PaO2 of 8 kPa or lower and 77% would accept a PaO2 of 12 kPa or higher in a clinical trial of oxygenation targets. CONCLUSION: Intensive care unit doctors preferred PaO2 to SaO2 in monitoring oxygen treatment when peripheral oxygen saturation was not included in the question. The identification of PaO2 as the preferred target and the thorough clarification of preferences are important when ascertaining optimal oxygenation targets. In particular when designing future clinical trials of higher vs lower oxygenation targets in ICU patients.


Asunto(s)
Unidades de Cuidados Intensivos , Oxígeno/sangre , Respiración Artificial , Humanos , Oxígeno/toxicidad , Médicos , Enfermedad Pulmonar Obstructiva Crónica/metabolismo , Síndrome de Dificultad Respiratoria/metabolismo
2.
Anaesthesia ; 73(9): 1131-1140, 2018 Sep.
Artículo en Inglés | MEDLINE | ID: mdl-29762869

RESUMEN

In the UK, a network of specialist centres has been set up to provide critical care for burn patients. However, some burn patients are admitted to general intensive care units. Little is known about the casemix of these patients and how it compares with patients in specialist burn centres. It is not known whether burn-specific or generic risk prediction models perform better when applied to patients managed in intensive care units. We examined admissions for burns in the Case Mix Programme Database from April 2010 to March 2016. The casemix, activity and outcome in general and specialist burn intensive care units were compared and the fit of two burn-specific risk prediction models (revised Baux and Belgian Outcome in Burn Injury models) and one generic model (Intensive Care National Audit and Research Centre model) were compared. Patients in burn intensive care units had more extensive injuries compared with patients in general intensive care units (median (IQR [range]) burn surface area 16 (7-32 [0-98])% vs. 8 (1-18 [0-100])%, respectively) but in-hospital mortality was similar (22.8% vs. 19.0%, respectively). The discrimination and calibration of the generic Intensive Care National Audit and Research Centre model was superior to the revised Baux and Belgian Outcome in Burn Injury burn-specific models for patients managed on both specialist burn and general intensive care units.


Asunto(s)
Unidades de Quemados/organización & administración , Quemaduras/terapia , Cuidados Críticos/organización & administración , Adulto , Anciano , Unidades de Quemados/estadística & datos numéricos , Quemaduras/mortalidad , Quemaduras/patología , Cuidados Críticos/estadística & datos numéricos , Bases de Datos Factuales , Grupos Diagnósticos Relacionados , Femenino , Mortalidad Hospitalaria , Humanos , Puntaje de Gravedad del Traumatismo , Unidades de Cuidados Intensivos/organización & administración , Unidades de Cuidados Intensivos/estadística & datos numéricos , Masculino , Auditoría Médica , Persona de Mediana Edad , Pronóstico , Medición de Riesgo/métodos , Medicina Estatal/organización & administración , Medicina Estatal/estadística & datos numéricos , Resultado del Tratamiento , Reino Unido/epidemiología
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