Jf. Fieselmann et al., RESPIRATORY RATE PREDICTS CARDIOPULMONARY ARREST FOR INTERNAL-MEDICINE INPATIENTS, Journal of general internal medicine, 8(7), 1993, pp. 354-360
Objective: To assess whether vital sign measurements could identify in
ternal medicine patients at risk for cardiopulmonary arrest. Design: R
etrospective case-control study comparing 72 hours of pre-arrest vital
sign measurements with 72 hours of vital sign measurements for patien
ts from the same units who did not experience cardiopulmonary arrest.
Setting: Twelve non-intensive care internal medicine units at a large
midwestern academic medical center. Patients: Cases included all 59 in
patients who had experienced cardiopulmonary arrest between May 1989 a
nd December 1990; patients who were designated do-not-resuscitate (DNR
) or had less than 72 hours of vital sign recordings were excluded. Co
ntrols included 91 inpatients without cardiopulmonary arrest who were
matched for units and who had 72 hours of vital sign recordings. Resul
ts: The occurrence of one or more respiratory rates > 27 breaths per m
inute over a 72-hour period had a sensitivity of 0.54 and a specificit
y of 0.83 (odds ratio = 5.56, 95% CL = 2.67-11.49) in predicting cardi
opulmonary arrest. Other respiratory rate thresholds were also predict
ive of arrest. The ability of respiratory rate to predict arrest was s
tronger in units with high incidences of arrest relative to units with
low incidences, for example, in units for the management of gastroint
estinal disease (sensitivity = 1.00, specificity = 0.86) and renal dis
ease (sensitivity = 0.69, specificity = 0.87). Respiratory rate remain
ed a significant predictor (p < 0.001) after controlling for patient a
ge and gender. Pulse rate and blood pressure were not predictive of ca
rdiopulmonary arrest. Conclusions: Using elevated respiratory rates as
a signal for focused diagnostic studies and therapeutic interventions
in internal medicine patients may be useful in reducing the incidence
of subsequent cardiopulmonary arrest, and lowering associated morbidi
ty and mortality.