TY - JOUR
T1 - Intensive care unit admission with community-acquired pneumonia
AU - Vohra, Adam S.
AU - Tak, Hyo Jung
AU - Shah, Maulin B.
AU - Meltzer, David O.
AU - Ruhnke, Gregory W.
N1 - Publisher Copyright:
© 2015 by the Southern Society for Clinical Investigation.
PY - 2015
Y1 - 2015
N2 - Background: There has been a dramatic increase in the use of intensive care units (ICUs) over the past 25 years. Greater use of validated measures of illness severity may better inform ICU admission decisions in patients with community-acquired pneumonia. This article examined predictors of ICU admission and hospitalization costs, including the pneumonia severity index (PSI) and CURB-65 (confusion, uremia, respiratory rate, blood pressure, age $65 years) scores. Methods: The study identified 422 patients hospitalized for communityacquired pneumonia, ascertaining patient characteristics by chart review and extraction of administrative data. Multivariate logistic regression was performed to quantify the association of the PSI, CURB-65 and comorbidities with ICU admission. The predictors of cost were estimated using a generalized linear model. Results: Compared to 194 general medicine patients, certain clinical and radiographic findings were more common among 228 ICU patients. Compared to PSI reference group I/II/III, ICU admission was strongly associated with risk class IV (odds ratio [OR], 3.06; 95% confidence interval [CI], 1.63- 5.72) and V (OR, 4.84; CI, 2.44-9.62), and also CURB-65 3 (OR, 2.90; CI, 1.51-5.56). The relative increase in mortality among PSI risk class V (compared to IV) patients was 2.68 times higher in general medicine, compared with the ICU. Among ICU admissions, risk class V was associated with an additional cost of 14,548 (95% CI, 4,232 to 24,864). Conclusions: Illness severity and chronic pulmonary disease are strong predictors of ICU admission. More extensive use of the PSI may optimize site-of-care decisions, thereby minimizing mortality and unnecessary resource utilization.
AB - Background: There has been a dramatic increase in the use of intensive care units (ICUs) over the past 25 years. Greater use of validated measures of illness severity may better inform ICU admission decisions in patients with community-acquired pneumonia. This article examined predictors of ICU admission and hospitalization costs, including the pneumonia severity index (PSI) and CURB-65 (confusion, uremia, respiratory rate, blood pressure, age $65 years) scores. Methods: The study identified 422 patients hospitalized for communityacquired pneumonia, ascertaining patient characteristics by chart review and extraction of administrative data. Multivariate logistic regression was performed to quantify the association of the PSI, CURB-65 and comorbidities with ICU admission. The predictors of cost were estimated using a generalized linear model. Results: Compared to 194 general medicine patients, certain clinical and radiographic findings were more common among 228 ICU patients. Compared to PSI reference group I/II/III, ICU admission was strongly associated with risk class IV (odds ratio [OR], 3.06; 95% confidence interval [CI], 1.63- 5.72) and V (OR, 4.84; CI, 2.44-9.62), and also CURB-65 3 (OR, 2.90; CI, 1.51-5.56). The relative increase in mortality among PSI risk class V (compared to IV) patients was 2.68 times higher in general medicine, compared with the ICU. Among ICU admissions, risk class V was associated with an additional cost of 14,548 (95% CI, 4,232 to 24,864). Conclusions: Illness severity and chronic pulmonary disease are strong predictors of ICU admission. More extensive use of the PSI may optimize site-of-care decisions, thereby minimizing mortality and unnecessary resource utilization.
KW - Community-acquired pneumonia
KW - Hospitalization costs
KW - Intensive care unit
KW - Pneumonia severity index
KW - Severity of illness
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U2 - 10.1097/MAJ.0000000000000568
DO - 10.1097/MAJ.0000000000000568
M3 - Article
C2 - 26445305
AN - SCOPUS:84946543145
SN - 0002-9629
VL - 350
SP - 380
EP - 386
JO - American Journal of the Medical Sciences
JF - American Journal of the Medical Sciences
IS - 5
ER -