Evidence map›Paper›PMID 40457465›Full record

Observational studyCritical care (London, England)2025

Accuracy of the modified Global Burden of Disease International Classification of Diseases coding methods for identifying sepsis: a prospective multicentre cohort study.

Ashwani Kumar, Bala Venkatesh, Simon Finfer, Anthony Delaney, Kelly Thompson, Paul M Middleton, Anders Aneman, Kavitha Shetty, Deepak Bhonagiri, Manoj Saxena and 31 more

Abstract readMulticenter StudyObservational Study
In one paragraph

Observational study in Critical care (London, England), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Disease Burden Attributable to Hip Fractures in Asian Women.International journal of women's health · 2026
    Article
  3. Article
  4. 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

41 authors.

Ashwani KumarThe George Institute for Global Health, University of New South Wales, Sydney, Australia. akumar@georgeinstitute.org.au.ORCID http://orcid.org/0000-0002-4787-7833
Bala VenkateshThe George Institute for Global Health, University of New South Wales, Sydney, Australia.
Simon FinferThe George Institute for Global Health, University of New South Wales, Sydney, Australia.
Anthony DelaneyThe George Institute for Global Health, University of New South Wales, Sydney, Australia.
Kelly ThompsonThe George Institute for Global Health, University of New South Wales, Sydney, Australia.
Paul M MiddletonLiverpool Hospital, Liverpool, NSW, Australia.
Anders AnemanLiverpool Hospital, Liverpool, NSW, Australia.
Kavitha ShettyFairfield Hospital, Fairfield, NSW, Australia.
Deepak BhonagiriCampbelltown Hospital, Campbelltown, NSW, Australia.
Manoj SaxenaThe George Institute for Global Health, University of New South Wales, Sydney, Australia.
Frank M P van HarenSt. George Hospital, Kogarah, NSW, Australia.
Celia BradfordSydney Adventist Hospital, Wahroonga, NSW, Australia.
Graham ReeceBlacktown Hospital, Blacktown, NSW, Australia.
Simon RoddaBowral Hospital, Bowral, NSW, Australia.
Candice MackellarLiverpool Hospital, Liverpool, NSW, Australia.
Francess BassThe George Institute for Global Health, University of New South Wales, Sydney, Australia.
Lewis TsangFairfield Hospital, Fairfield, NSW, Australia.
Sandra LiLiverpool Hospital, Liverpool, NSW, Australia.
Raymond KwokSt. George Hospital, Kogarah, NSW, Australia.
Alexander BuckleyRoyal North Shore Hospital, St Leonards, NSW, Australia.
Angela ZouRoyal North Shore Hospital, St Leonards, NSW, Australia.
Swathi SridharanRoyal North Shore Hospital, St Leonards, NSW, Australia.
David HuRoyal North Shore Hospital, St Leonards, NSW, Australia.
Mark IskandarRoyal North Shore Hospital, St Leonards, NSW, Australia.
Sarah FrostRoyal North Shore Hospital, St Leonards, NSW, Australia.
Tori HeadingtonRoyal North Shore Hospital, St Leonards, NSW, Australia.
Giuliana ConnorCampbelltown Hospital, Campbelltown, NSW, Australia.
Anthony KlironomosLiverpool Hospital, Liverpool, NSW, Australia.
Sana ShanThe George Institute for Global Health, University of New South Wales, Sydney, Australia.
Yang LiThe George Institute for Global Health, University of New South Wales, Sydney, Australia.
Belinda AndersonSt. George Hospital, Kogarah, NSW, Australia.
Rebecca SidoliSt. George Hospital, Kogarah, NSW, Australia.
Deborah InskipSt. George Hospital, Kogarah, NSW, Australia.
Matthew LamSt. George Hospital, Kogarah, NSW, Australia.
Garnette FullerSt. George Hospital, Kogarah, NSW, Australia.
Christopher YuSydney Adventist Hospital, Wahroonga, NSW, Australia.
Bridget SigurdsonSydney Adventist Hospital, Wahroonga, NSW, Australia.
Richard McNultyBlacktown Hospital, Blacktown, NSW, Australia.
Maeda SadeghpourBlacktown Hospital, Blacktown, NSW, Australia.
Laurent BillotThe George Institute for Global Health, University of New South Wales, Sydney, Australia.
Naomi HammondThe George Institute for Global Health, University of New South Wales, Sydney, Australia.

Funding

National Health and Medical Research Council (NHMRC), Australia Emerging Leadership FellowshipNational Health and Medical Research Council (NHMRC), Australia Leadership Fellowship
6 · The paper itself

Abstract

backgroundThis study assessed the accuracy of three International Classification of Diseases (ICD) codes methods derived from Global Burden of Disease (GBD) sepsis study (modified GBD method) in identifying sepsis, compared to the Angus method. Sources of errors in these methods were also reported.

methodsProspective multicentre, observational, study. Emergency Department patients aged ≥ 16 years with high sepsis risk from nine hospitals in NSW, Australia were screened for clinical sepsis using Sepsis 3 criteria and coded as having sepsis or not using the modified GBD and Angus methods. The three modified GBD methods were: Explicit-sepsis-specific ICD code recorded; Implicit-sepsis-specific code or infection as primary ICD code plus organ dysfunction code; Implicit plus-as for Implicit but infection as primary or secondary ICD code. Agreement between clinical sepsis and ICD coding methods was assessed using Cronbach alpha (α). For false positive cases (ICD-coded sepsis but not clinically diagnosed), the ICD codes leading to those errors were documented. For false negatives (clinically diagnosed sepsis but ICD-coded), uncoded sources of infection and organ dysfunction were documented.

resultsOf 6869 screened patients, 450 (median age 72.4 years, 48.9% females) met inclusion criteria. Clinical sepsis was diagnosed in 215/450 (47.8%). The explicit, implicit, implicit plus and Angus methods identified sepsis in 108/450 (24.0%), 175/450 (38.9%), 222/450 (49.3%) and 170/450 (37.8%), respectively. Sensitivity was 41.4%, 58.1%, 67.4% and 55.8%, and specificity 91.9%, 78.7%, 67.2% and 79.1%, respectively. Agreement between clinical sepsis and all ICD coding methods was low (α = 0.52-0.56). False positives were 19, 50, and 77, while false negatives were 126, 90, and 70 for the explicit, implicit, and implicit plus methods, respectively. For false positive cases, unspecified urinary tract infection, hypotension and acute kidney failure were commonly assigned infection and organ dysfunction codes. About half (44.3%-55.6%) of the false negative cases didn't have a pathogen documented.

conclusionThe modified GBD method demonstrated low accuracy in identifying sepsis; with the implicit plus method being the most accurate. Errors in identifying sepsis using ICD codes arise mostly from coding for unspecified urinary infections and associated organ dysfunction.

trial registrationThe study was registered at the ANZCTR (ACTRN12621000333819) on 24 March 2021.

Indexed as

Global Burden of DiseaseInternational Classification of DiseasesSepsisAdultAgedAged, 80 and overClinical CodingCohort StudiesEmergency Service, HospitalFemaleHumansMaleMiddle AgedNew South WalesProspective StudiesDiagnostic accuracyICD codeSensitivitySepsisSpecificity

Identifiers

PMID40457465
PMCPMC12128331

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.