Observational studyScientific reports2021
Mortality prediction using a novel combination of biomarkers in the first day of sepsis in intensive care units.
Observational study in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers, 3 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
39 citing papers in PubMed, 3 syntheses or guidelines pooled it, 50 citations in OpenAlex.
- Prognostic factors of sepsis: a systematic review and meta-analysis.BMC infectious diseases · 2025Pooled it
- IL-6 Baseline Values and Dynamic Changes in Predicting Sepsis Mortality: A Systematic Review and Meta-Analysis.Biomolecules · 2025Pooled it
- The association between coagulation function and prognosis in patients with sepsis: a meta-analysis of predictive performance introduction.Frontiers in medicine · 2025Pooled it
- A prediction model for 30-day mortality of sepsis patients based on intravenous fluids and electrolytes.Medicine · 2022Trial
- Clinical Performance of BIO-S and BIO-SC Composite Bioscores for 28-Day Mortality Stratification in Adults with Sepsis and Septic Shock.Biomedicines · 2026Article
- From Glycocalyx Shedding to Microvascular Collapse in Sepsis: Endothelial Pathophysiology, Organ Dysfunction, and Mechanistic Biomarkers.Pathophysiology : the official journal of the International Society for Pathophysiology · 2026Review
- The value of interleukin-6 (IL-6), neuropilin-1 (Nrp-1) and amphiregulin (AREG) levels in predicting mortality in patients admitted to the intensive care unit with a pre-diagnosis of sepsis or septic shock.BMC infectious diseases · 2026Observational
- Development and evaluation of predictive performance of "organ failure assessment by ratio score" to predict sepsis mortality in Indian intensive care unit patients: An observational study.Indian journal of anaesthesia · 2026Article
- Sepsis as a complex syndrome: Are combined biomarkers the future of diagnosis and prognosis? Clinical perspective.Immunology letters · 2026Review
- Elevated baseline vitamin B12 level and all-cause mortality risk in patients with sepsis: a cohort analysis.Frontiers in nutrition · 2026Article
- Clinical characteristics of pyogenic liver abscess patients with multiple organ dysfunction syndrome and development and validation of a predictive model.Frontiers in cellular and infection microbiology · 2026Article
- Differences in the Phenotype of Bacterial and Viral Sepsis-A Prospective, Multicenter, Observational Study.Viruses · 2025Observational
- Risk prediction model for neonatal mortality among neonates hospitalized with sepsis, Bahir Dar, Ethiopia.Scientific reports · 2025Article
- Molecular analysis of immune cell subsets and cytokine profiles in septic Vietnamese patients.Clinical and experimental medicine · 2025Article
- Improving Sepsis Mortality Prediction With Machine Learning Using Full Region Synthetic Sampling Approach.Health science reports · 2025Article
- Observational
- Evaluation of Testican-1 as a Sepsis Biomarker in Pyometra Cats.Veterinary medicine and science · 2025Article
- Factors predicting discharge outcomes of sepsis patients admitted to intensive care unit in a major tertiary care hospital: A retrospective study from Palestine.PLOS global public health · 2025Article
- Early Mortality Prediction in Intensive Care Unit Patients Based on Serum Metabolomic Fingerprint.International journal of molecular sciences · 2024Article
- Evaluation of the Diversities in the Inflammatory Responses in Cats With Bacterial and Viral Infections.Veterinary medicine and science · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Early identification of infection severity and organ dysfunction is crucial in improving outcomes of patients with sepsis. We aimed to develop a new combination of blood-based biomarkers that can early predict 28-day mortality in patients with sepsis or septic shock. We enrolled 66 patients with sepsis or septic shock and compared 14 blood-based biomarkers in the first 24 h after ICU admission. The serum levels of interleukin-6 (IL-6) (median 217.6 vs. 4809.0 pg/ml, P = 0.001), lactate (median 2.4 vs. 6.3 mmol/L, P = 0.014), N-terminal prohormone of brain natriuretic peptide (NT-proBNP) (median 1596.5 vs. 32,905.3 ng/ml, P < 0.001), prothrombin time (PT) (median 15.6 vs. 20.1 s, P = 0.030), activated partial thrombin time (APTT) (median 45.1 vs. 59.0 s, P = 0.026), and international normalized ratio (INR) (median 1.3 vs. 1.8, P < 0.001) were significantly lower in the survivor group. IL-6, NT-proBNP, and INR provided the best individual performance in predicting 28-day mortality of patients with sepsis or septic shock. Furthermore, the combination of these three biomarkers achieved better predictive performance (AUC 0.890, P < 0.001) than conventional scoring systems. In summary, the combination of IL-6, NT-proBNP, and INR may serve as a potential predictor of 28-day mortality in critically ill patients with sepsis or septic shock.
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.