Development and validation of the new ICNARC model for prediction of acute hospital mortality in adult critical care

The organisation of critical care for burn patients in the UK: epidemiology and comparison of mortality prediction models

“…For each identified patient, the following data were extracted: burn surface area; presence of inhalation injury; burn mechanism; source of admission; urgency of surgery (emergent/urgent compared with elective/ scheduled); age; sex; assistance in daily activities; severe conditions in the past medical history; acute severity of illness (assessed with the ICNARC physiology score [27] and Acute Physiology And Chronic Health Evaluation (APACHE-2 acute physiology score [28] Three risk predictions for acute hospital mortality for each patient were calculated by applying the revised Baux model [30], Belgian Outcome in Burn Injury (BOBI) model [31], and the 2015 recalibration of the ICNARC model [32] (see Appendix S1 for details). The performance of the risk All analyses were performed using Stata/SE Version In burn ICUs, organ support was received by a higher proportion of patients, for longer duration and both ICU and acute hospital durations of stay were longer ( Table 2).…”

The significance of risk adjustment for the assessment of results in intensive care. : An analysis of risk adjustment models used in Swedish intensive care.

“…Time-fixed mortality is not affected by discharge to another hospital or short length of hospital stay. The most commonly used general intensive care risk adjustment models, however, use in-hospital mortality as outcome measure since time-fixed mortality is harder to achieve in most countries [21,24,32]. We have shown that the SAPS3 model works as well with 30-day mortality as it does with in-hospital mortality for Swedish intensive care risk adjustment.…”

“…The APACHE and ICNARC models use 24 hours for data sampling while the SAPS3 model uses two hours, from one hour before ICU admission to one hour after ICU admission [21,24,32].…”

The weekend effect in status epilepticus: a national cohort study

“…We did not study patients transferred from or to other units. We defined critical care as an ICU (general or neurological) or high dependency unit, 90% of which contribute to the Case Mix Programme of the Intensive Care National Audit and Research Centre (ICNARC), which we analysed . Data access and analyses were approved under section 251 of the NHS Act 2006 (approval PIAG 2‐10(f)/2005) and ICNARC's Independent Data Access Advisory Group approved the protocol.…”

“…The severity of many illnesses may be different at the weekend, but we think that this confounding factor is less likely to apply to status epilepticus. Nevertheless, we adjusted for some potential confounders: age; sex; calendar year; admission source; number of days from hospital admission to critical care admission; acute illness severity ; prolonged seizure as primary vs. secondarydiagnosis; severe comorbidities; and functional status. We categorised admission source as: ward; emergency department; operating theatre; or other critical care area, for instance coronary care.…”