5 research outputs found
Structural investigations of epitaxial InN by x-ray photoelectron diffraction and x-ray diffraction
Signs of inflammation in children that can kill ( SICK score): Preliminary prospective validation of a new non-invasive measure of severity-of-illness
Background : Signs of Inflammation in Children that can Kill (SICK
score) is a new severity-of-illness score. It uses the physical signs
of the Systemic Inflammatory Response Syndrome (SIRS) and its continuum
- the Multiple Organ Dysfunction Syndrome (MODS). The development of
the score used multiple logistic regression model coefficients
converted to integer scores that have been published earlier. Aims:
The present study was done to validate the scoring system by predicting
outcomes in a fresh data set. Setting: Intensive care unit in a
tertiary referral hospital Design: Prospective Materials and Methods:
125 admissions to the intensive care unit were evaluated so that the
SICK score and the PRISM score could be calculated. In-hospital
mortality was noted Statistical Analysis: Calibration (Hosmer-Lemeshow
goodness of fit) and discrimination (area under the ROC curve) were
used to measure performance. Results: Of the 125 patients studied 23
died. The area under the ROC curve was 0.76 compared to 0.80 in the
development sample. Using PRISM in the validation group, the ROC was
0.78. Calibration was excellent. Conclusion: The SICK score can
predict severity of illness with nearly the same accuracy as the PRISM
score. The SICK score can be calculated immediately on admission and
can help to prioritize care for the more sick children who need urgent
aggressive management. Larger studies, that includes all admissions to
the hospital, will now need to be done
Signs of inflammation in children that can kill ( SICK score): preliminary prospective validation of a new non-invasive measure of severity-of-illness
Background : Signs of Inflammation in Children that can Kill (SICK
score) is a new severity-of-illness score. It uses the physical signs
of the Systemic Inflammatory Response Syndrome (SIRS) and its continuum
- the Multiple Organ Dysfunction Syndrome (MODS). The development of
the score used multiple logistic regression model coefficients
converted to integer scores that have been published earlier. Aims:
The present study was done to validate the scoring system by predicting
outcomes in a fresh data set. Setting: Intensive care unit in a
tertiary referral hospital Design: Prospective Materials and Methods:
125 admissions to the intensive care unit were evaluated so that the
SICK score and the PRISM score could be calculated. In-hospital
mortality was noted Statistical Analysis: Calibration (Hosmer-Lemeshow
goodness of fit) and discrimination (area under the ROC curve) were
used to measure performance. Results: Of the 125 patients studied 23
died. The area under the ROC curve was 0.76 compared to 0.80 in the
development sample. Using PRISM in the validation group, the ROC was
0.78. Calibration was excellent. Conclusion: The SICK score can
predict severity of illness with nearly the same accuracy as the PRISM
score. The SICK score can be calculated immediately on admission and
can help to prioritize care for the more sick children who need urgent
aggressive management. Larger studies, that includes all admissions to
the hospital, will now need to be done