Observational studyBMC emergency medicine2021
Risk prediction of biomarkers for early multiple organ dysfunction in critically ill patients.
Observational study in BMC emergency medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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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.
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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
16 citing papers in PubMed, 23 citations in OpenAlex.
- Prognostic value of on-admission IL-6, lactate, base deficit, ESR, and CRP in a prospective study of multiple trauma patients.Scientific reports · 2026Observational
- Article
- [Association of platelets with multiple organic failure in septic patients].Revista medica del Instituto Mexicano del Seguro Social · 2026Observational
- Performance of a modified Sequential Organ Failure Assessment score in pre-hospital critical care to predict short-term mortality: a prospective, multicentre, validation cohort study.EClinicalMedicine · 2025Article
- Utility of admission biomarkers in predicting severe outcomes and triage in acute febrile illness: A cohort study.The Journal of international medical research · 2025Article
- Biomarkers in Aneurysmatic and Spontaneous Subarachnoid Haemorrhage: A Clinical Prospective Multicentre Biomarker Panel Study of S100B, Claudin-5, Interleukin-10, TREM-1, TREM-2 and Neurofilament Light Chain As Well As Immunoglobulin G and M.Molecular neurobiology · 2025Observational
- Continuous Biosensing to Monitor Acute Systemic Inflammation, a Diagnostic Need for Therapeutic Guidance.ACS sensors · 2025Review
- Update of the sequential organ failure assessment score: current status and challenges?Frontiers in medicine · 2025Review
- The impact of sedation and analgesia scores on prognosis in critically ill sepsis patients with sepsis-associated encephalopathy: a retrospective analysis.Frontiers in neurology · 2025Article
- The relation between inflammatory biomarkers and drug pharmacokinetics in the critically ill patients: a scoping review.Critical care (London, England) · 2024Article
- Development of a biomarker prediction model for post-trauma multiple organ failure/dysfunction syndrome based on the blood transcriptome.Annals of intensive care · 2024Article
- Association between serum endocan levels and organ failure in hospitalized patients with cirrhosis.PloS one · 2024Article
- Therapeutic plasma exchange is feasible and tolerable in severely injured patients with trauma-induced coagulopathy.Trauma surgery & acute care open · 2024Article
- Septic encephalopathy in the elderly - biomarkers of potential clinical utility.Frontiers in cellular neuroscience · 2023Review
- Continuous renal replacement therapy combined with double filtration plasmapheresis in the treatment of severe lupus complicated by serious bacterial infections in children: A case report.Open life sciences · 2022Article
- Neonatal NET-Inhibitory Factor improves survival in the cecal ligation and puncture model of polymicrobial sepsis by inhibiting neutrophil extracellular traps.Frontiers in immunology · 2022Article
Corrections and comments
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Authors and funding
13 authors at 5 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundShock and organ damage occur in critically ill patients in the emergency department because of biological responses to invasion, and cytokines play an important role in their development. It is important to predict early multiple organ dysfunction (MOD) because it is useful in predicting patient outcomes and selecting treatment strategies. This study examined the accuracy of biomarkers, including interleukin (IL)-6, in predicting early MOD in critically ill patients compared with that of quick sequential organ failure assessment (qSOFA).
methodsThis was a multicenter observational sub-study. Five universities from 2016 to 2018. Data of adult patients with systemic inflammatory response syndrome who presented to the emergency department or were admitted to the intensive care unit were prospectively evaluated. qSOFA score and each biomarker (IL-6, IL-8, IL-10, tumor necrosis factor-α, C-reactive protein, and procalcitonin [PCT]) level were assessed on Days 0, 1, and 2. The primary outcome was set as MOD on Day 2, and the area under the curve (AUC) was analyzed to evaluate qSOFA scores and biomarker levels.
resultsOf 199 patients, 38 were excluded and 161 were included. Patients with MOD on Day 2 had significantly higher qSOFA, SOFA, and Acute Physiology and Chronic Health Evaluation II scores and a trend toward worse prognosis, including mortality. The AUC for qSOFA score (Day 0) that predicted MOD (Day 2) was 0.728 (95% confidence interval [CI]: 0.651-0.794). IL-6 (Day 1) showed the highest AUC among all biomarkers (0.790 [95% CI: 0.711-852]). The combination of qSOFA (Day 0) and IL-6 (Day 1) showed improved prediction accuracy (0.842 [95% CI: 0.771-0.893]). The combination model using qSOFA (Day 1) and IL-6 (Day 1) also showed a higher AUC (0.868 [95% CI: 0.799-0.915]). The combination model of IL-8 and PCT also showed a significant improvement in AUC.
conclusionsThe addition of IL-6, IL-8 and PCT to qSOFA scores improved the accuracy of early MOD prediction.
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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.