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Jack Chen

Publications and source records attributed to Jack Chen.

20 records · Page 2Linked to original sources

Introduction of the medical emergency team (MET) system: a cluster-randomised controlled trial.

BACKGROUND: Patients with cardiac arrests or who die in general wards have often received delayed or inadequate care. We investigated whether the medical emergency team (MET) system could reduce the incidence of cardiac arrests, unplanned admissions to intensive care units (ICU), and deaths. METHODS: We randomised 23 hospitals in Australia to continue functioning as usual (n=11) or to introduce a MET system (n=12). The primary outcome was the composite of cardiac arrest, unexpected death, or unplanned ICU admission during the 6-month study period after MET activation. Analysis was by intention to treat. FINDINGS: Introduction of the MET increased the overall calling incidence for an emergency team (3.1 vs 8.7 per 1000 admissions, p=0.0001). The MET was called to 30% of patients who fulfilled the calling criteria and who were subsequently admitted to the ICU. During the study, we recorded similar incidence of the composite primary outcome in the control and MET hospitals (5.86 vs 5.31 per 1000 admissions, p=0.640), as well as of the individual secondary outcomes (cardiac arrests, 1.64 vs 1.31, p=0.736; unplanned ICU admissions, 4.68 vs 4.19, p=0.599; and unexpected deaths, 1.18 vs 1.06, p=0.752). A reduction in the rate of cardiac arrests (p=0.003) and unexpected deaths (p=0.01) was seen from baseline to the study period for both groups combined. INTERPRETATION: The MET system greatly increases emergency team calling, but does not substantially affect the incidence of cardiac arrest, unplanned ICU admissions, or unexpected death.

Emergency Service, Hospital↗

Combining carbohydrate-deficient transferrin and gamma-glutamyltransferase to increase diagnostic accuracy for problem drinking.

AIM: To examine methods for combining quantitative results for serum carbohydrate deficient transferrin (CDT), gamma-glutamyltransferase (GGT) and/or aspartate aminotransferase (AST), and refining these by inclusion of patient characteristics. METHODS: Data from 1684 subjects, recruited from the general population, abstainer groups and alcohol treatment centres (participants in the five nations WHO/ISBRA study of biological markers of alcohol use), were used to develop clinical rules for combining results of GGT, AST and CDT. The algorithm derived by Sillanaukee and Olsson was tested, and compared with new algorithms derived by logistic regression and discriminant analysis. Diagnostic accuracy was assessed by area underneath the receiver operator characteristic curve. Effects of adding gender and clinical information to the algorithm were estimated. RESULTS: The predictive ability of combination rules derived from the two studies and by two different statistical techniques was remarkably consistent. For men, combining lnCDT and lnGGT provided the best accuracy for detecting daily consumption of 60 g ethanol or more in the past 30 days. For women, GGT alone provided the best accuracy for that consumption level. Clinical variables added significantly to the diagnostic accuracy of the models for both men and women, and conversely the test results modified the probability of problem drinking as assessed from clinical data alone. A graphic method was produced to help clinicians estimate probabilities for consumption of 60 g or more per day. CONCLUSIONS: Combining biochemical markers enhances detection of problem drinking in men but not in women. Information on clinical variables increases the ability to correctly detect problem drinking.

Adolescent↗