ArticleAnnals of surgery2015
Prediction of multiple infections after severe burn trauma: a prospective cohort study.
Article in Annals of surgery, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.
What it found
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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.
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Who cites it
24 citing papers in PubMed, 1 synthesis or guideline pooled it, 46 citations in OpenAlex.
- Pooled it
- Impact of Real-Time Therapeutic Drug Monitoring on the Prescription of Antibiotics in Burn Patients Requiring Admission to the Intensive Care Unit.Antimicrobial agents and chemotherapy · 2018Trial
- Cutaneous functional units (CFUs) versus total body surface area burned (TBSA) for predicting range of motion outcomes: A comparison of predictive models.Burns : journal of the International Society for Burn Injuries · 2025Article
- Development of a biomarker prediction model for post-trauma multiple organ failure/dysfunction syndrome based on the blood transcriptome.Annals of intensive care · 2024Article
- Lymphocyte HVEM/BTLA co-expression after critical illness demonstrates severity indiscriminate upregulation, impacting critical illness-induced immunosuppression.Frontiers in medicine · 2023Article
- Leveraging transcriptomics for precision diagnosis: Lessons learned from cancer and sepsis.Frontiers in genetics · 2023Review
- Multiplexed Human Gene Expression Analysis Reveals a Central Role of the TLR/mTOR/PPARγ and NFkB Axes in Burn and Inhalation Injury-Induced Changes in Systemic Immunometabolism and Long-Term Patient Outcomes.International journal of molecular sciences · 2022Article
- Immune modulation after traumatic brain injury.Frontiers in medicine · 2022Review
- [Deepening the understanding of the diagnostic system and therapeutic strategy for burn sepsis].Zhonghua shao shang za zhi = Zhonghua shaoshang zazhi = Chinese journal of burns · 2021Article
- Multi-Biomarker Prediction Models for Multiple Infection Episodes Following Blunt Trauma.iScience · 2020Article
- Collocated burn and fracture injuries in major trauma: a 10 year experience.Annals of the Royal College of Surgeons of England · 2020Article
- Denver and Marshall scores successfully predict susceptibility to multiple independent infections in trauma patients.PloS one · 2020Article
- Targeting bacterial quorum sensing shows promise in improving intestinal barrier function following burn‑site infection.Molecular medicine reports · 2019Article
- Article
- Procalcitonin kinetics after burn injury and burn surgery in septic and non-septic patients - a retrospective observational study.BMC anesthesiology · 2018Observational
- Checking procalcitonin suitability for prognosis and antimicrobial therapy monitoring in burn patients.Burns & trauma · 2018Article
- Article
- Reward-related neural activity and structure predict future substance use in dysregulated youth.Psychological medicine · 2017Article
- Longitudinal relationships among activity in attention redirection neural circuitry and symptom severity in youth.Biological psychiatry. Cognitive neuroscience and neuroimaging · 2017Article
- Considerations and caveats in anti-virulence drug development.Current opinion in microbiology · 2016Review
Corrections and comments
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Authors and funding
9 authors at 5 institutions in 2 countries.
Funding
Abstract
objectiveTo develop predictive models for early triage of burn patients based on hypersusceptibility to repeated infections.
backgroundInfection remains a major cause of mortality and morbidity after severe trauma, demanding new strategies to combat infections. Models for infection prediction are lacking.
methodsSecondary analysis of 459 burn patients (≥16 years old) with 20% or more total body surface area burns recruited from 6 US burn centers. We compared blood transcriptomes with a 180-hour cutoff on the injury-to-transcriptome interval of 47 patients (≤1 infection episode) to those of 66 hypersusceptible patients [multiple (≥2) infection episodes (MIE)]. We used LASSO regression to select biomarkers and multivariate logistic regression to built models, accuracy of which were assessed by area under receiver operating characteristic curve (AUROC) and cross-validation.
resultsThree predictive models were developed using covariates of (1) clinical characteristics; (2) expression profiles of 14 genomic probes; (3) combining (1) and (2). The genomic and clinical models were highly predictive of MIE status [AUROCGenomic = 0.946 (95% CI: 0.906-0.986); AUROCClinical = 0.864 (CI: 0.794-0.933); AUROCGenomic/AUROCClinical P = 0.044]. Combined model has an increased AUROCCombined of 0.967 (CI: 0.940-0.993) compared with the individual models (AUROCCombined/AUROCClinical P = 0.0069). Hypersusceptible patients show early alterations in immune-related signaling pathways, epigenetic modulation, and chromatin remodeling.
conclusionsEarly triage of burn patients more susceptible to infections can be made using clinical characteristics and/or genomic signatures. Genomic signature suggests new insights into the pathophysiology of hypersusceptibility to infection may lead to novel potential therapeutic or prophylactic targets.
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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.