ArticleCritical care (London, England)2016
Use of explicit ICD9-CM codes to identify adult severe sepsis: impacts on epidemiological estimates.
Article in Critical care (London, England), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 4 of them syntheses that pooled 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.
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.
Who cites it
28 citing papers in PubMed, 4 syntheses or guidelines pooled it.
- Association between sepsis survivorship and long-term cardiovascular outcomes in adults: a systematic review and meta-analysis.Intensive care medicine · 2021Pooled it
- Incidence and mortality of hospital- and ICU-treated sepsis: results from an updated and expanded systematic review and meta-analysis.Intensive care medicine · 2020Pooled it
- Machine learning for the prediction of sepsis: a systematic review and meta-analysis of diagnostic test accuracy.Intensive care medicine · 2020Pooled it
- Frequency and mortality of septic shock in Europe and North America: a systematic review and meta-analysis.Critical care (London, England) · 2019Pooled it
- A predictive model for the risk of sepsis within 30 days of admission in patients with traumatic brain injury in the intensive care unit: a retrospective analysis based on MIMIC-IV database.European journal of medical research · 2023Trial
- A surveillance method to identify patients with sepsis from electronic health records in Hong Kong: a single centre retrospective study.BMC infectious diseases · 2020Trial
- Association between a Single-time Measurement of Fatty Liver Index and Occurrence of Sepsis among Individuals without Excessive Alcohol Consumption.Infection & chemotherapy · 2025Article
- Long-term cardiovascular outcomes and risk factors in adult sepsis survivors: a systematic review and meta-analysis.World journal of emergency medicine · 2025Review
- Development and validation of an ensemble learning risk model for sepsis after abdominal surgery.Archives of medical science : AMS · 2025Article
- Automating detection of diagnostic error of infectious diseases using machine learning.PLOS digital health · 2024Article
- Comparison of five different disseminated intravascular coagulation criteria in predicting mortality in patients with sepsis.PloS one · 2024Observational
- Cardiovascular Events Among Survivors of Sepsis Hospitalization: A Retrospective Cohort Analysis.Journal of the American Heart Association · 2023Article
- Varying Estimates of Sepsis among Adults Presenting to US Emergency Departments: Estimates from a National Dataset from 2002-2018.Journal of intensive care medicine · 2022Article
- Learning and visualizing chronic latent representations using electronic health records.BioData mining · 2022Article
- Concomitant Sepsis Diagnoses in Acute Myocardial Infarction-Cardiogenic Shock: 15-Year National Temporal Trends, Management, and Outcomes.Critical care explorations · 2022Article
- Effects of Renin-Angiotensin-Aldosterone System Inhibitors on Long-Term Major Adverse Cardiovascular Events in Sepsis Survivors.Journal of the American Heart Association · 2021Article
- Impact of systemic lupus erythematosus on the 5-year survival of critically ill septic patients.Arthritis research & therapy · 2021Article
- A simple measure to improve sepsis documentation and coding.Clinical medicine (London, England) · 2021Article
- Development and validation of an early warning tool for sepsis and decompensation in children during emergency department triage.Scientific reports · 2021Article
- Article
Corrections and comments
- Commented on by
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundSevere sepsis is a challenge for healthcare systems, and epidemiological studies are essential to assess its burden and trends. However, there is no consensus on which coding strategy should be used to reliably identify severe sepsis. This study assesses the use of explicit codes to define severe sepsis and the impacts of this on the incidence and in-hospital mortality rates.
methodsWe examined episodes of severe sepsis in adults aged ≥18 years registered in the 2006-2011 national hospital discharge database, identified in an exclusive manner by two ICD-9-CM coding strategies: (1) those assigned explicit ICD-9-CM codes (995.92, 785.52); and (2) those assigned combined ICD-9-CM infection and organ dysfunction codes according to modified Martin criteria. The coding strategies were compared in terms of the populations they defined and their relative implementation. Trends were assessed using Joinpoint regression models and expressed as annual percentage change (APC).
resultsOf 222 846 episodes of severe sepsis identified, 138 517 (62.2 %) were assigned explicit codes and 84 329 (37.8 %) combination codes; incidence rates were 60.6 and 36.9 cases per 100 000 inhabitants, respectively. Despite similar demographic characteristics, cases identified by explicit codes involved fewer comorbidities, fewer registered pathogens, greater extent of organ dysfunction (two or more organs affected in 60 % versus 26 % of cases) and higher in-hospital mortality (54.5 % versus 29 %; risk ratio 1.86, 95 % CI 1.83, 1.88). Between 2006 and 2011, explicit codes were increasingly implemented. Standardised incidence rates in this cohort increased over time with an APC of 12.3 % (95 % CI 4.4, 20.8); in the combination code cohort, rates increased by 3.8 % (95 % CI 1.3, 6.3). A decreasing trend in mortality was observed in both cohorts though the APC was -8.1 % (95 % CI -10.4, -5.7) in the combination code cohort and -3.5 % (95 % CI -3.9, -3.2) in the explicit code cohort.
conclusionsOur findings suggest greater and increasing use of explicit codes for adult severe sepsis in Spain. This trend will have substantial impacts on epidemiological estimates, because these codes capture cases featuring greater organ dysfunction and in-hospital mortality.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.