Backwards elimination removed variables until only those present

Backwards elimination removed variables until only those present at the P < 0.05 level remained in the model.A correlation analysis was used to evaluate the relation between the maximum Bedside PEWS score and nurse rating selleck catalog of risk of near cardiopulmonary arrest for the time period that the rating nurse cared for the patient. The maximum Bedside PEWS score was then used as the dependent variable in regression analyses. First, a random co-efficients mixed model regression compared the mid-point of the time interval with the maximum Bedside PEWS score from that interval. Next, we included the square of the mid-point of the hour in this regression. Third, a multi-variable linear regression compared the maximum Bedside PEWS score (for the 12 hours of the case-control study) with case-control status, the nurse-patient ratio and nurse experience.

Nurse experience from the survey (<0.5, 1 to 5 years, >5 years) was conservatively represented as 0.5, 2.5 and 5 years, respectively. A backward elimination process was used. The r2 was used as a measure of the variability in the maximum Bedside PEWS score that was explained by the variables evaluated.For patients seen by the CCRT we obtained data from our hospital’s patients in the provincial database. For each patient visit we calculated the Bedside PEWS score. Where the available data permitted the calculation of more than one score per patient visit we calculated both and used the greatest score for analysis. For patients seen in a new consultation we compared the Bedside PEWS score for the initial consultation visit with the disposition of the patient over the next 24 hours.

Patients who were classified as either: admitted to the ICU (1) as part of the initial consultation, (2) after the initial consultation and within the next 24 hours, or (3) as not admitted within the first 24 hours of consultation. Comparisons were made using analysis of variance.The Bedside PEWS scores of patients who were seen by the CCRT were compared by the disposition of the patient using a Student’s t-test. The time to planned follow up was tabulated. Linear regression was used to compare the Bedside PEWS score with the mid-point of the time-interval for the planned follow up category.Data management and analyses were performed using SAS v 9.2 the power to know? (Cary, NC, USA). A P value of less than 0.05 was regarded as significant. The protocol was reviewed and approved by the Research Ethics Board at the Hospital for Sick Children (REB approval 1000004218). Consent was required from nurse participants, but not from patients, parents or their surrogates.ResultsClinical dataCandidate items GSK-3 and scores were evaluated in clinical data from 60 urgent ICU admissions and 120 well control patients (Table (Table1).1).

Leave a Reply

Your email address will not be published. Required fields are marked *

*

You may use these HTML tags and attributes: <a href="" title=""> <abbr title=""> <acronym title=""> <b> <blockquote cite=""> <cite> <code> <del datetime=""> <em> <i> <q cite=""> <strike> <strong>