Evidence map›Paper›PMID 26787173›Full record

ReviewClinical infectious diseases : an official publication of the Infectious Diseases Society of America2016

Impact of Policies on the Rise in Sepsis Incidence, 2000-2010.

Shruti K Gohil, Chenghua Cao, Michael Phelan, Thomas Tjoa, Chanu Rhee, Richard Platt, Susan S Huang

Abstract readReview
In one paragraph

Review in Clinical infectious diseases : an official publication of the Infectious Diseases Society of America, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

44 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. SepsisJournal of medical microbiology · 2025
    Review
  7. Article
  8. Improving Sepsis Outcomes in the Era of Pay-for-Performance and Electronic Quality Measures: A Joint IDSA/ACEP/PIDS/SHEA/SHM/SIDP Position Paper.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2024
    Article
  9. Article
  10. Article
  11. Article
  12. Observational
  13. Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Article
  19. Upsala journal of medical sciences · 2021
    Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Shruti K GohilDivision of Infectious Diseases & Health Policy Research Institute, University of California, Irvine School of Medicine.
Chenghua CaoDivision of Infectious Diseases & Health Policy Research Institute, University of California, Irvine School of Medicine.
Michael PhelanDepartment of Statistics, University of California, Irvine.
Thomas TjoaDivision of Infectious Diseases & Health Policy Research Institute, University of California, Irvine School of Medicine.
Chanu RheeDepartment of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts.
Richard PlattDepartment of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts.
Susan S HuangDivision of Infectious Diseases & Health Policy Research Institute, University of California, Irvine School of Medicine.

Funding

University of California Health Participation in the National COVID Cohort Collaborative (N3C)UL1TR001414 · NCATS · UNIVERSITY OF CALIFORNIA-IRVINE · PI COOPER, DAN M, VILAIN, ERIC J. · 2015 to 2023
$35.1M
INFECTIOUS DISEASE AND BASIC MICROBIOLOGICAL MECHANISMST32AI007061 · NIAID · MASSACHUSETTS GENERAL HOSPITAL · PI Marcia B Goldberg · 1985 to 2026
$12.1M
Institutional Career Development CoreKL2TR001416 · NCATS · UNIVERSITY OF CALIFORNIA-IRVINE · PI CAIOZZO, VINCENT JAMES, DEMETRIOU, MICHAEL · 2015 to 2023
$5.6M
Institute for Clinical and Translational ScienceKL2TR000147 · NCATS · UNIVERSITY OF CALIFORNIA-IRVINE · PI COOPER, DAN M · 2012 to 2015
$940k
NCATS NIH HHS KL2 TR000147NCATS NIH HHS KL2 TR001416NCATS NIH HHS UL1 TR001414NCEZID CDC HHS 1U54 CK000172-01NCEZID CDC HHS U54 CK000172NIAID NIH HHS T32 AI007061
6 · The paper itself

Abstract

backgroundSepsis hospitalizations have increased dramatically in the last decade. It is unclear whether this represents an actual rise in sepsis illness or improved capture by coding. We evaluated the impact of Centers of Medicare and Medicaid Services (CMS) guidance after newly introduced sepsis codes and medical severity diagnosis-related group (MS-DRG) systems on sepsis trends.

methodsIn this retrospective cohort study of California hospitalizations from January 2000 to December 2010, sepsis was identified by International Classification of Diseases, Ninth Revision (ICD-9) coding (Dombrovskiy method). Sepsis-associated mortality rates were calculated. Logistic regression models evaluated variables associated with sepsis and mortality. Segmented regression time series analysis assessed changes in sepsis frequency for (1) baseline (January 2000 to September 2003); (2) post-CMS guidelines on sepsis coding (October 2003 to September 2007); and (3) after the introduction of MS-DRG (October 2007 to December 2010).

resultsAnnual hospitalizations with sepsis diagnoses tripled within a decade, from 21.1 to 59.9 cases per 1000 admissions, with a 2.8- and 2.0-fold increase in severe and nonsevere sepsis, respectively, whereas annual admissions remained unchanged and sepsis-associated mortality decreased. Greatest increases were seen for severe sepsis present on admission (3.8-fold increase). Increases in sepsis were temporally correlated with CMS coding guidance and MS-DRG introduction after adjustment for comorbidity and other factors.

conclusionsSepsis rate increases were associated with introduction of CMS-issued guidance for new sepsis ICD-9 coding and MS-DRGs. Coding artifact ("up-capture" of less severely ill septic patients) may be contributing to the apparent rise in sepsis incidence and decline in mortality. Epidemiologic trends based on administrative data should account for policy-related effects.

Indexed as

Health PolicyMedicareAdultCaliforniaComorbidityDelivery of Health CareFemaleHospitalizationHumansIncidenceInternational Classification of DiseasesMaleMiddle AgedRetrospective StudiesSepsisTime Factorshealthcare policysepsissepsis epidemiologysepsis mortality

Identifiers

PMID26787173
PMCPMC4772840

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.