Observational studyJAMA network open2023
Estimating Sepsis Incidence Using Administrative Data and Clinical Medical Record Review.
Observational study in JAMA network open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.
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The trial behind it
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Who cites it
31 citing papers in PubMed, 45 citations in OpenAlex.
- Factors associated with mortality in older sepsis patients: a nationwide retrospective cohort study in Germany.Age and ageing · 2026Observational
- Sepsis and Subsequent Psychiatric Morbidity: A Nationwide Population-Based Matched Cohort Study, 2008-2019.Critical care medicine · 2026Article
- Trends and Long-Term Mortality in Sepsis: Evidence from a Population-Based Retrospective Cohort Study of 13,994 Hospitalizations in the Abruzzo Region, Central Italy.Antibiotics (Basel, Switzerland) · 2026Article
- Temporal Trends in the Chronobiology and Epidemiology of Sepsis Admissions over 21 Years: A Nationwide Study in Northwestern Spain.Antibiotics (Basel, Switzerland) · 2026Article
- Artificial intelligence and predictive analytics in obstetric anesthesia: early warning for maternal complications.Current opinion in anaesthesiology · 2026Review
- Subnational analysis of pediatric sepsis incidence and mortality from official records in Chile and Mexico: a longitudinal study from 2014 to 2024.BMC public health · 2026Article
- Association between deep learning-based atrial fibrillation burden and in-hospital mortality.PLOS digital health · 2026Article
- Think sepsis, write sepsis, code sepsis - patient characteristics associated with sepsis (under-)coding in administrative health data.Infection · 2026Article
- The regulatory mechanism of NLRP3 inflammasome in the "immune paralytic-overactivation" imbalance in sepsis: the latest progress from molecular signaling to clinical translation.Frontiers in immunology · 2026Review
- Interaction networks of macrophage glycolysis and inflammation in sepsis: mechanisms and therapeutic potential.Frontiers in immunology · 2026Review
- Metabolic syndrome and risk of sepsis and sepsis-related mortality: evidence from two large prospective cohort studies.Military Medical Research · 2026Article
- Positive and unlabeled learning from hospital administrative data: a novel approach to identify sepsis cases.Health care management science · 2025Article
- Risk of Serious Infection With Adalimumab in Hidradenitis Suppurativa Compared With Psoriasis.JAMA dermatology · 2025Article
- Research Progress on Signalling Pathways Related to Sepsis-Associated Acute Kidney Injury in Children.Current issues in molecular biology · 2025Review
- Validation of a software application using electronic health records for automatic detection of community onset sepsis.Scientific reports · 2025Article
- Impacts of the COVID-19 pandemic on sepsis incidence, etiology and hospitalization costs in France: a retrospective observational study.BMC infectious diseases · 2025Observational
- Prognostic and clinical indicators of sepsis outcomes in hospitalized patients: a cross-sectional study.BMC infectious diseases · 2025Article
- SepsisJournal of medical microbiology · 2025Review
- Prehospital lactate analysis in suspected sepsis improves detection of patients with increased mortality risk: an observational study.Critical care (London, England) · 2025Observational
- Unpacking the sepsis controversy.Trauma surgery & acute care open · 2025Review
Corrections and comments
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Authors and funding
12 authors at 4 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Importance: Despite the large health burden, reliable data on sepsis epidemiology are lacking; studies using International Statistical Classification of Diseases and Related Health Problems (ICD)-coded hospital discharge diagnosis for sepsis identification suffer from limited sensitivity. Also, ICD data do not allow investigation of underlying pathogens and antimicrobial resistance. Objectives: To generate reliable epidemiological estimates by linking data from a population-based database to a reference standard of clinical medical record review. Design, Setting, and Participants: This was a retrospective, observational cohort study using a population-based administrative database including all acute care hospitals of the Scania region in Sweden in 2019 and 2020 to identify hospital-treated sepsis cases by ICD codes. From this database, clinical medical records were also selected for review within 6 strata defined by ICD discharge diagnosis (both with and without sepsis diagnosis). Data were analyzed from April to October 2022. Main outcomes and measures: Hospital and population incidences of sepsis, case fatality, antimicrobial resistance, and temporal dynamics due to COVID-19 were assessed, as well as validity of ICD-10 case identification methods compared with the reference standard of clinical medical record review. Results: Out of 295 531 hospitalizations in 2019 in the Scania region of Sweden, 997 patient medical records were reviewed, among which 457 had sepsis according to clinical criteria. Of the patients with clinical sepsis, 232 (51%) were female, and 357 (78%) had at least 1 comorbidity. The median (IQR) age of the cohort was 76 (67-85) years. The incidence of sepsis in hospitalized patients according to the Third International Consensus Definitions for Sepsis and Septic Shock (Sepsis-3) criteria in 2019 was 4.1% (95% CI, 3.6-4.5) by medical record review. This corresponds to an annual incidence rate of 747 (95% CI, 663-832) patients with sepsis per 100 000 population. No significant increase in sepsis during the COVID-19 pandemic nor a decrease in sepsis incidence when excluding COVID-19 sepsis was observed. Few sepsis cases caused by pathogens with antimicrobial resistance were found. The validity of ICD-10-based case identification in administrative data was low. Conclusions and Relevance: In this cohort study of sepsis epidemiology, sepsis was a considerable burden to public health in Sweden. Supplying administrative data with information from clinical medical records can help to generate reliable data on sepsis epidemiology.
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