TY - JOUR
T1 - Epidemiological and economic burden of Clostridium difficile in the United States
T2 - Estimates from a modeling approach
AU - Desai, Kamal
AU - Gupta, Swati B.
AU - Dubberke, Erik R.
AU - Prabhu, Vimalanand S.
AU - Browne, Chantelle
AU - Mast, T. Christopher
N1 - Funding Information:
Kamal Desai and Chantelle Browne are employees of Evidera Inc., a consultancy hired by Merck & Co., Inc. to perform the development of the model. Swati Gupta, Vimalanand S. Prabhu, and T. Christopher Mast are employees of Merck & Co. Erik R. Dubberke has consulted for or received research grants from Merck, Pfizer, Sanofi-Pasteur, Rebiotix, Cubist.
Publisher Copyright:
© 2016 The Author(s).
PY - 2016/6/18
Y1 - 2016/6/18
N2 - Background: Despite a large increase in Clostridium difficile infection (CDI) severity, morbidity and mortality in the US since the early 2000s, CDI burden estimates have had limited generalizability and comparability due to widely varying clinical settings, populations, or study designs. Methods: A decision-analytic model incorporating key input parameters important in CDI epidemiology was developed to estimate the annual number of initial and recurrent CDI cases, attributable and all-cause deaths, economic burden in the general population, and specific number of high-risk patients in different healthcare settings and the community in the US. Economic burden was calculated adopting a societal perspective using a bottom-up approach that identified healthcare resources consumed in the management of CDI. Results: Annually, a total of 606,058 (439,237 initial and 166,821 recurrent) episodes of CDI were predicted in 2014: 34.3 % arose from community exposure. Over 44,500 CDI-attributable deaths in 2014 were estimated to occur. High-risk susceptible individuals representing 5 % of the total hospital population accounted for 23 % of hospitalized CDI patients. The economic cost of CDI was $5.4 billion ($4.7 billion (86.7 %) in healthcare settings; $725 million (13.3 %) in the community), mostly due to hospitalization. Conclusions: A modeling framework provides more comprehensive and detailed national-level estimates of CDI cases, recurrences, deaths and cost in different patient groups than currently available from separate individual studies. As new treatments for CDI are developed, this model can provide reliable estimates to better focus healthcare resources to those specific age-groups, risk-groups, and care settings in the US where they are most needed. (Trial Identifier ClinicaTrials.gov:
AB - Background: Despite a large increase in Clostridium difficile infection (CDI) severity, morbidity and mortality in the US since the early 2000s, CDI burden estimates have had limited generalizability and comparability due to widely varying clinical settings, populations, or study designs. Methods: A decision-analytic model incorporating key input parameters important in CDI epidemiology was developed to estimate the annual number of initial and recurrent CDI cases, attributable and all-cause deaths, economic burden in the general population, and specific number of high-risk patients in different healthcare settings and the community in the US. Economic burden was calculated adopting a societal perspective using a bottom-up approach that identified healthcare resources consumed in the management of CDI. Results: Annually, a total of 606,058 (439,237 initial and 166,821 recurrent) episodes of CDI were predicted in 2014: 34.3 % arose from community exposure. Over 44,500 CDI-attributable deaths in 2014 were estimated to occur. High-risk susceptible individuals representing 5 % of the total hospital population accounted for 23 % of hospitalized CDI patients. The economic cost of CDI was $5.4 billion ($4.7 billion (86.7 %) in healthcare settings; $725 million (13.3 %) in the community), mostly due to hospitalization. Conclusions: A modeling framework provides more comprehensive and detailed national-level estimates of CDI cases, recurrences, deaths and cost in different patient groups than currently available from separate individual studies. As new treatments for CDI are developed, this model can provide reliable estimates to better focus healthcare resources to those specific age-groups, risk-groups, and care settings in the US where they are most needed. (Trial Identifier ClinicaTrials.gov:
KW - Community
KW - Cost
KW - Hospital
KW - Long-term care
KW - NAP1
UR - http://www.scopus.com/inward/record.url?scp=84975297548&partnerID=8YFLogxK
U2 - 10.1186/s12879-016-1610-3
DO - 10.1186/s12879-016-1610-3
M3 - Article
C2 - 27316794
AN - SCOPUS:84975297548
SN - 1471-2334
VL - 16
JO - BMC Infectious Diseases
JF - BMC Infectious Diseases
IS - 1
M1 - 303
ER -