Trial reportBMC infectious diseases2020
A surveillance method to identify patients with sepsis from electronic health records in Hong Kong: a single centre retrospective study.
Trial report in BMC infectious diseases, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04114214 (Development of an Objective Sepsis Identification Tool to Study Sepsis Epidemiology), which is not on this map. Cited by 12 papers, 1 of them a synthesis that pooled it.
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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.
Development of an Objective Sepsis Identification Tool to Study Sepsis Epidemiology: a Single Center Retrospective Cohort Study
Who cites it
12 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Sepsis prediction, early detection, and identification using clinical text for machine learning: a systematic review.Journal of the American Medical Informatics Association : JAMIA · 2022Pooled it
- The Phoenix Criteria and Other Severity Scores in Identifying Pediatric Sepsis.JAMA network open · 2026Article
- Regional Adherence to Early Sepsis Management Bundle and Associated Mortality in Hong Kong Between 2009-2018.Open forum infectious diseases · 2026Article
- Development and validation of an interpretable machine learning model for retrospective identification of suspected infection for sepsis surveillance: a multicentre cohort study.EClinicalMedicine · 2025Article
- Early onset of hypertension and increased relative risks of chronic kidney disease and mortality: two population-based cohort studies in United Kingdom and Hong Kong.Hypertension research : official journal of the Japanese Society of Hypertension · 2025Article
- Population Sepsis Incidence, Mortality, and Trends in Hong Kong Between 2009 and 2018 Using Clinical and Administrative Data.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2025Article
- Article
- A retrospective cohort study on the clinical outcomes of patients admitted to intensive care units with dysnatremia.Scientific reports · 2023Article
- Association of Molnupiravir and Nirmatrelvir-Ritonavir with reduced mortality and sepsis in hospitalized omicron patients: a territory-wide study.Scientific reports · 2023Article
- Validation of an ICD-Based Algorithm to Identify Sepsis: A Retrospective Study.Risk management and healthcare policy · 2023Article
- One-year hospital readmission for recurrent sepsis: associated risk factors and impact on 1-year mortality-a French nationwide study.Critical care (London, England) · 2022Article
- Observational
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundCurrently there are only two population studies on sepsis incidence in Asia. The burden of sepsis in Hong Kong is unknown. We developed a sepsis surveillance method to estimate sepsis incidence from a population electronic health record (EHR) in Hong Kong using objective clinical data. The study objective was to assess our method's performance in identifying sepsis using a retrospective cohort. We compared its accuracy to administrative sepsis surveillance methods such as Angus' and Martin's methods.
methodIn this single centre retrospective study we applied our sepsis surveillance method on adult patients admitted to a tertiary hospital in Hong Kong. Two clinicians independently reviewed the clinical notes to determine which patients had sepsis. Performance was assessed by sensitivity, specificity, positive predictive value, negative predictive value and area under the curve (AUC) of Angus', Martin's and our surveillance methods using clinical review as "gold standard."
resultsBetween January 1 and February 28, 2018, our sepsis surveillance method identified 1352 adult patients hospitalised with suspected infection. We found that 38.9% (95%CI 36.3-41.5) of these patients had sepsis. Using a 490 patient validation cohort, two clinicians had good agreement with weighted kappa of 0.75 (95% CI 0.69-0.81) before coming to consensus on diagnosis of uncomplicated infection or sepsis for all patients. Our method had sensitivity 0.93 (95%CI 0.89-0.96), specificity 0.86 (95%CI 0.82-0.90) and an AUC 0.90 (95%CI 0.87-0.92) when validated against clinician review. In contrast, Angus' and Martin's methods had AUCs 0.56 (95%CI 0.53-0.58) and 0.56 (95%CI 0.52-0.59), respectively.
conclusionsA sepsis surveillance method based on objective data from a population EHR in Hong Kong was more accurate than administrative methods. It may be used to estimate sepsis population incidence and outcomes in Hong Kong.
trial registrationThis study was retrospectively registered at clinicaltrials.gov on October 3, 2019 ( NCT04114214 ).
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