TY - JOUR
T1 - What is the best method for estimating the burden of severe sepsis in the United States?
AU - Lagu, Tara
AU - Rothberg, Michael B.
AU - Shieh, Meng Shiou
AU - Pekow, Penelope S.
AU - Steingrub, Jay S.
AU - Lindenauer, Peter K.
N1 - Funding Information:
The study was conducted with funding from the Division of Pulmonary and Critical Care and the Center for Quality of Care Research at Baystate Medical Center .
Funding Information:
The study was conducted with funding from the Division of Critical Care and the Center for Quality of Care Research at Baystate Medical Center. The authors would like to acknowledge Nicholas Hannon for his assistance with creating tables and figure.
Copyright:
Copyright 2018 Elsevier B.V., All rights reserved.
PY - 2012/8
Y1 - 2012/8
N2 - Purpose: The aim of the study was to compare estimates of hospitalizations, outcomes, and costs produced by 2 approaches for defining severe sepsis. Methods: We used the Nationwide Inpatient Sample to study adults hospitalized in the United States in 2007. We defined severe sepsis using 2 previously published algorithms: (1) the presence of a principal or secondary diagnosis of septicemia combined with organ dysfunction or (2) the presence of a principal or secondary diagnosis of septicemia or another infection (eg, pneumonia) combined with organ dysfunction. For each approach, we calculated the weighted frequency of hospitalizations, population-based mortality rates, and geometric mean costs. Results: A total of 719099 (SD, 16676) hospitalizations had a diagnosis of septicemia and a diagnosis of organ dysfunction. A total of 2.5 million hospitalizations were recorded, with a diagnosis code for either septicemia or infection combined with a diagnosis code for organ dysfunction. Hospitalizations without a diagnosis code for septicemia had lower rates of respiratory failure (35% vs 51%, P < .001) or shock (20% vs 46%, P < .001), lower in-hospital mortality (8% vs 29%, P < .001), and lower mean costs. Conclusions: An approach that requires a diagnosis code for septicemia and a diagnosis code for organ dysfunction yields estimates of disease burden and outcomes that are more consistent with chart-based studies.
AB - Purpose: The aim of the study was to compare estimates of hospitalizations, outcomes, and costs produced by 2 approaches for defining severe sepsis. Methods: We used the Nationwide Inpatient Sample to study adults hospitalized in the United States in 2007. We defined severe sepsis using 2 previously published algorithms: (1) the presence of a principal or secondary diagnosis of septicemia combined with organ dysfunction or (2) the presence of a principal or secondary diagnosis of septicemia or another infection (eg, pneumonia) combined with organ dysfunction. For each approach, we calculated the weighted frequency of hospitalizations, population-based mortality rates, and geometric mean costs. Results: A total of 719099 (SD, 16676) hospitalizations had a diagnosis of septicemia and a diagnosis of organ dysfunction. A total of 2.5 million hospitalizations were recorded, with a diagnosis code for either septicemia or infection combined with a diagnosis code for organ dysfunction. Hospitalizations without a diagnosis code for septicemia had lower rates of respiratory failure (35% vs 51%, P < .001) or shock (20% vs 46%, P < .001), lower in-hospital mortality (8% vs 29%, P < .001), and lower mean costs. Conclusions: An approach that requires a diagnosis code for septicemia and a diagnosis code for organ dysfunction yields estimates of disease burden and outcomes that are more consistent with chart-based studies.
KW - Costs
KW - Mortality
KW - Sepsis
KW - Severe sepsis
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U2 - 10.1016/j.jcrc.2012.02.004
DO - 10.1016/j.jcrc.2012.02.004
M3 - Article
C2 - 22516143
AN - SCOPUS:84864138955
SN - 0883-9441
VL - 27
SP - 414.e1-414.e9
JO - Seminars in Anesthesia
JF - Seminars in Anesthesia
IS - 4
ER -