Evidence map›Paper›PMID 35859855›Full record

ArticleJournal of the American College of Emergency Physicians open2022

Updated estimates of sepsis hospitalizations at United States academic medical centers.

Hei Kit Chan, Swapnil Khose, Summer Chavez, Bela Patel, Henry E Wang

Abstract read
In one paragraph

Article in Journal of the American College of Emergency Physicians open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
–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

15 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. SepsisJournal of medical microbiology · 2025
    Review
  8. Factors and outcomes associated with under- and overdiagnosis of sepsis in the first hour of emergency department care.Academic emergency medicine : official journal of the Society for Academic Emergency Medicine · 2025
    Observational
  9. Article
  10. Article
  11. Article
  12. Article
  13. "All Models Are Wrong, Some Are Useful": George Box.Annals of the American Thoracic Society · 2024
    Article
  14. Article
  15. Updated estimates of sepsis hospitalizations at United States academic medical centers.Journal of the American College of Emergency Physicians open · 2022
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Hei Kit ChanDepartment of Emergency Medicine, Department of Biostatistics The University of Texas Health Science Center at Houston Houston Texas USA.
Swapnil KhoseDepartment of Epidemiology, Human Genetics & Environmental Sciences, School of Public Health The University of Texas Health Science Center at Houston Houston Texas USA.
Summer ChavezDepartment of Emergency Medicine, Department of Biostatistics The University of Texas Health Science Center at Houston Houston Texas USA.
Bela PatelDepartment of Medicine, Division of Critical Care Medicine The University of Texas Health Science Center at Houston Houston Texas USA.
Henry E WangDepartment of Emergency Medicine The Ohio State University Columbus Ohio USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Sepsis is a major public health problem. Understanding the epidemiology of sepsis subtypes is important to quantify the magnitude of the problem and identify targets for system wide treatment strategies. We sought to describe the current national epidemiology of community-acquired (CAS), hospital-acquired (HAS) and healthcare-associated sepsis (HCAS) hospitalizations among academic medical centers in the United States using current discharge diagnosis taxonomies. Methods: Retrospective analysis of patient discharge data from the Vizient Clinical Data Base/Resource Manager. We identified sepsis hospitalizations using four ICD-10 coding strategies: (1) "Martin" sepsis codes (21 ICD-10 codes), (2) "Angus" sepsis codes (ICD-10 infection + ICD-10 organ dysfunction), (3) Medicare "SEP-1" codes (28 ICD-10 codes), and (4) "explicit sepsis" codes (ICD-10 R65.20 and R65.21). Using present-on-admission flags for each diagnosis, we also distinguished: (1) community-acquired sepsis (CAS), (2) hospital-acquired sepsis (HAS), and (3) healthcare associated sepsis (HCAS). Results: Among 22,655,240 hospitalizations, the number and incidence of sepsis hospitalizations were: (1) Martin (n = 1,718,257, 75.8 per 1000 hospitalizations), (2) Angus (n = 2,749,163, 121.3 per 1000), (3) SEP-1 (n = 1,624,909, 71.7 per 1000), and (4) explicit sepsis (n = 655,853, 28.9 per 1000). CAS was the most common sepsis subtype. HAS exhibited higher adjusted mortality than CAS. ICU admission was highest for HAS (Martin, 1.5%; Angus, 1.5%; SEP-1, 1.6%; Explicit, 1.9%). Conclusions: These results illustrate the prevalence of sepsis at US academic medical centers using the most current sepsis classification taxonomies and discharge diagnosis codes. These results highlight important considerations when using hospital discharge data to characterize the epidemiology of sepsis.

Indexed as

administrative datadischarge diagnosesepidemiologysepsis

Identifiers

PMID35859855
PMCPMC9288236

What OpenQuestion holds

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Registered trials

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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.