1985
DOI: 10.1136/bmj.291.6493.432
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Validation of a prognostic score in critically ill patients undergoing transport.

Abstract: Fifty consecutive critically ill patients transported between hospitals by a mobile intensive care team were assessed prospectively using a modification of the acute physiology and chronic health evaluation (APACHE H) sickness scoring system. Assessments were made before and after resuscitation, on return to base, and after 24 hours of intensive care.

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Cited by 124 publications
(61 citation statements)
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“…Ontario is Canada's second largest province, with a landmass of more than 1 million km 2 . Northern Ontario constitutes 87% of the land area of the province, although it contains less than 7% of the population.…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…Ontario is Canada's second largest province, with a landmass of more than 1 million km 2 . Northern Ontario constitutes 87% of the land area of the province, although it contains less than 7% of the population.…”
Section: Methodsmentioning
confidence: 99%
“…[1][2][3] Skilled transport teams may avert clinical deterioration and adverse events through timely critical interventions; therefore, measurement of both clinical deterioration and resuscitative interventions (critical events) is important. 4,5 Characterization of critical events could be used to reduce medical errors, im prove processes related to equipment and transport, and optimize the triage and preparation of patients before transport and the matching of transport crews and resources to patients at highest risk.…”
mentioning
confidence: 99%
“…The propensity score of receiving ACEI treatment was calculated in 3 subgroups: no ACEI and ACEI continuation, ACEI continuation and withdrawal, and no ACEI and ACEI addition, separately. The derived propensity scores were then used for multivariable covariate adjustment, together with the ACEI treatment indicator variables and Acute Physiology and Chronic Health Evaluation II (APACHE II) 26 Acute Physiology score (partial), which was used to determine the severity of illness within the first 24 hours after each patient was admitted to the ICU. The C index was 0.80 for the propensity score model of ACEI continuation versus no ACEI, 0.71 for ACEI continuation versus withdrawal, and 0.76 for ACEI addition versus no ACEI.…”
Section: Methodsmentioning
confidence: 99%
“…Epidemiologic data were collected via patient interviews and chart reviews. Parameters assessed included demographics (age and sex), microbiological parameters of previous clinical isolations, medical diagnosis at the current admission, long-term care facility residency, functional status, level of consciousness, comorbidities (including calculation of the Charlson comorbidity index [22]), severity of illness (according to the McCabe score [4]), use of chronic invasive devices, recent invasive procedures, recent use of antibiotics, chronic medications, tobacco or alcohol use, recent immunosuppressive treatment (glucocorticoids or oncologic chemotherapy), malignant diseases, renal function, nutritional status, and time intervals from most recent hospitalizations and/or intensive care unit stays.…”
Section: Methodsmentioning
confidence: 99%