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Temporal trends in the systemic inflammatory response syndrome, sepsis, and medical coding of sepsis

BACKGROUND: Recent reports using administrative claims data suggest the incidence of community- and hospital-onset sepsis is increasing. Whether this reflects changing epidemiology, more effective diagnostic methods, or changes in physician documentation and medical coding practices is unclear. METH...

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Autores principales: Thomas, Benjamin S., Jafarzadeh, S. Reza, Warren, David K., McCormick, Sandra, Fraser, Victoria J., Marschall, Jonas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4657245/
https://www.ncbi.nlm.nih.gov/pubmed/26597871
http://dx.doi.org/10.1186/s12871-015-0148-z
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author Thomas, Benjamin S.
Jafarzadeh, S. Reza
Warren, David K.
McCormick, Sandra
Fraser, Victoria J.
Marschall, Jonas
author_facet Thomas, Benjamin S.
Jafarzadeh, S. Reza
Warren, David K.
McCormick, Sandra
Fraser, Victoria J.
Marschall, Jonas
author_sort Thomas, Benjamin S.
collection PubMed
description BACKGROUND: Recent reports using administrative claims data suggest the incidence of community- and hospital-onset sepsis is increasing. Whether this reflects changing epidemiology, more effective diagnostic methods, or changes in physician documentation and medical coding practices is unclear. METHODS: We performed a temporal-trend study from 2008 to 2012 using administrative claims data and patient-level clinical data of adult patients admitted to Barnes-Jewish Hospital in St. Louis, Missouri. Temporal-trend and annual percent change were estimated using regression models with autoregressive integrated moving average errors. RESULTS: We analyzed 62,261 inpatient admissions during the 5-year study period. ‘Any SIRS’ (i.e., SIRS on a single calendar day during the hospitalization) and ‘multi-day SIRS’ (i.e., SIRS on 3 or more calendar days), which both use patient-level data, and medical coding for sepsis (i.e., ICD-9-CM discharge diagnosis codes 995.91, 995.92, or 785.52) were present in 35.3 %, 17.3 %, and 3.3 % of admissions, respectively. The incidence of admissions coded for sepsis increased 9.7 % (95 % CI: 6.1, 13.4) per year, while the patient data-defined events of ‘any SIRS’ decreased by 1.8 % (95 % CI: −3.2, −0.5) and ‘multi-day SIRS’ did not change significantly over the study period. Clinically-defined sepsis (defined as SIRS plus bacteremia) and severe sepsis (defined as SIRS plus hypotension and bacteremia) decreased at statistically significant rates of 5.7 % (95 % CI: −9.0, −2.4) and 8.6 % (95 % CI: −4.4, −12.6) annually. All-cause mortality, SIRS mortality, and SIRS and clinically-defined sepsis case fatality did not change significantly during the study period. Sepsis mortality, based on ICD-9-CM codes, however, increased by 8.8 % (95 % CI: 1.9, 16.2) annually. CONCLUSIONS: The incidence of sepsis, defined by ICD-9-CM codes, and sepsis mortality increased steadily without a concomitant increase in SIRS or clinically-defined sepsis. Our results highlight the need to develop strategies to integrate clinical patient-level data with administrative data to draw more accurate conclusions about the epidemiology of sepsis.
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spelling pubmed-46572452015-11-25 Temporal trends in the systemic inflammatory response syndrome, sepsis, and medical coding of sepsis Thomas, Benjamin S. Jafarzadeh, S. Reza Warren, David K. McCormick, Sandra Fraser, Victoria J. Marschall, Jonas BMC Anesthesiol Research Article BACKGROUND: Recent reports using administrative claims data suggest the incidence of community- and hospital-onset sepsis is increasing. Whether this reflects changing epidemiology, more effective diagnostic methods, or changes in physician documentation and medical coding practices is unclear. METHODS: We performed a temporal-trend study from 2008 to 2012 using administrative claims data and patient-level clinical data of adult patients admitted to Barnes-Jewish Hospital in St. Louis, Missouri. Temporal-trend and annual percent change were estimated using regression models with autoregressive integrated moving average errors. RESULTS: We analyzed 62,261 inpatient admissions during the 5-year study period. ‘Any SIRS’ (i.e., SIRS on a single calendar day during the hospitalization) and ‘multi-day SIRS’ (i.e., SIRS on 3 or more calendar days), which both use patient-level data, and medical coding for sepsis (i.e., ICD-9-CM discharge diagnosis codes 995.91, 995.92, or 785.52) were present in 35.3 %, 17.3 %, and 3.3 % of admissions, respectively. The incidence of admissions coded for sepsis increased 9.7 % (95 % CI: 6.1, 13.4) per year, while the patient data-defined events of ‘any SIRS’ decreased by 1.8 % (95 % CI: −3.2, −0.5) and ‘multi-day SIRS’ did not change significantly over the study period. Clinically-defined sepsis (defined as SIRS plus bacteremia) and severe sepsis (defined as SIRS plus hypotension and bacteremia) decreased at statistically significant rates of 5.7 % (95 % CI: −9.0, −2.4) and 8.6 % (95 % CI: −4.4, −12.6) annually. All-cause mortality, SIRS mortality, and SIRS and clinically-defined sepsis case fatality did not change significantly during the study period. Sepsis mortality, based on ICD-9-CM codes, however, increased by 8.8 % (95 % CI: 1.9, 16.2) annually. CONCLUSIONS: The incidence of sepsis, defined by ICD-9-CM codes, and sepsis mortality increased steadily without a concomitant increase in SIRS or clinically-defined sepsis. Our results highlight the need to develop strategies to integrate clinical patient-level data with administrative data to draw more accurate conclusions about the epidemiology of sepsis. BioMed Central 2015-11-24 /pmc/articles/PMC4657245/ /pubmed/26597871 http://dx.doi.org/10.1186/s12871-015-0148-z Text en © Thomas et al. 2015 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Thomas, Benjamin S.
Jafarzadeh, S. Reza
Warren, David K.
McCormick, Sandra
Fraser, Victoria J.
Marschall, Jonas
Temporal trends in the systemic inflammatory response syndrome, sepsis, and medical coding of sepsis
title Temporal trends in the systemic inflammatory response syndrome, sepsis, and medical coding of sepsis
title_full Temporal trends in the systemic inflammatory response syndrome, sepsis, and medical coding of sepsis
title_fullStr Temporal trends in the systemic inflammatory response syndrome, sepsis, and medical coding of sepsis
title_full_unstemmed Temporal trends in the systemic inflammatory response syndrome, sepsis, and medical coding of sepsis
title_short Temporal trends in the systemic inflammatory response syndrome, sepsis, and medical coding of sepsis
title_sort temporal trends in the systemic inflammatory response syndrome, sepsis, and medical coding of sepsis
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4657245/
https://www.ncbi.nlm.nih.gov/pubmed/26597871
http://dx.doi.org/10.1186/s12871-015-0148-z
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