Trial reportYonsei medical journal2016
Hypoalbuminemia, Low Base Excess Values, and Tachypnea Predict 28-Day Mortality in Severe Sepsis and Septic Shock Patients in the Emergency Department.
Trial report in Yonsei medical journal, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 1 of them a synthesis that pooled it.
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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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
33 citing papers in PubMed, 1 synthesis or guideline pooled it, 72 citations in OpenAlex.
- Prediction models for mortality in patients with sepsis: a systematic review and meta-analysis.Frontiers in medicine · 2026Pooled it
- Impact of early albumin therapy on 28-day survival in ICU patients with septic shock concurrent hypoalbuminemia: a retrospective analysis of combined clinical datasets.World journal of emergency medicine · 2026Article
- Base deficit and alactic base excess are promising early biological markers in pediatric sepsis.BMC pediatrics · 2026Article
- The prognostic value of red cell distribution width-to-albumin ratio for 28-day mortality in sepsis patients: a multicenter analysis based on the eICU Collaborative Research Database.Frontiers in medicine · 2026Article
- Prognostic value of lactate-enhanced quick sequential organ failure assessment (qSOFA) versus standard qSOFA in predicting mortality among sepsis patients in the emergency department: A retrospective cohort study.Ulusal travma ve acil cerrahi dergisi = Turkish journal of trauma & emergency surgery : TJTES · 2025Article
- Co-Evaluation of Lactate, Base Excess, and Albumin as Predictors of Mortality in Sepsis by Excluding the Factors That Affect Their Levels: An Observational Study.Biomedicines · 2025Article
- Association between base excess and mortality in critically ill patients with ischemic stroke: a retrospective cohort study.BMC neurology · 2024Article
- The Relationship Between Serum Albumin Levels and Sepsis in Patients Admitted to a Tertiary Care Center in India.Cureus · 2024Article
- Development and validation of a nomogram to predict the risk of sepsis-associated encephalopathy for septic patients in PICU: a multicenter retrospective cohort study.Journal of intensive care · 2024Article
- Article
- A dynamic nomogram for predicting 28-day mortality in septic shock: a Chinese retrospective cohort study.PeerJ · 2024Article
- Machine learning-based prediction of in-ICU mortality in pneumonia patients.Scientific reports · 2023Article
- Association between base excess and 28-day mortality in sepsis patients: A secondary analysis based on the MIMIC- IV database.Heliyon · 2023Article
- Article
- The predictive values of admission characteristics for 28-day all-cause mortality in septic patients with diabetes mellitus: a study from the MIMIC database.Frontiers in endocrinology · 2023Article
- An Individualized Nomogram for Predicting Mortality Risk of Septic Shock Patients During Hospitalization: A ten Years Retrospective Analysis.Infection and drug resistance · 2023Article
- Albumin Level is Associated with Short-Term and Long-Term Outcomes in Sepsis Patients Admitted in the ICU: A Large Public Database Retrospective Research.Clinical epidemiology · 2023Article
- Longitudinal trajectory of acidosis and mortality in acute kidney injury requiring continuous renal replacement therapy.BMC nephrology · 2022Article
- The Association between Serum Albumin and Post-Operative Outcomes among Patients Undergoing Common Surgical Procedures: An Analysis of a Multi-Specialty Surgical Cohort from the National Surgical Quality Improvement Program (NSQIP).Journal of clinical medicine · 2022Article
- Comprehensive Investigations of Multiple Factors That Are Related to Refractory Outcome in Urosepsis Patients.Yonago acta medica · 2022Article
Corrections and comments
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Authors and funding
8 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeThe objective of this study was to develop a new nomogram that can predict 28-day mortality in severe sepsis and/or septic shock patients using a combination of several biomarkers that are inexpensive and readily available in most emergency departments, with and without scoring systems. MATERIALS AND
methodsWe enrolled 561 patients who were admitted to an emergency department (ED) and received early goal-directed therapy for severe sepsis or septic shock. We collected demographic data, initial vital signs, and laboratory data sampled at the time of ED admission. Patients were randomly assigned to a training set or validation set. For the training set, we generated models using independent variables associated with 28-day mortality by multivariate analysis, and developed a new nomogram for the prediction of 28-day mortality. Thereafter, the diagnostic accuracy of the nomogram was tested using the validation set.
resultsThe prediction model that included albumin, base excess, and respiratory rate demonstrated the largest area under the receiver operating characteristic curve (AUC) value of 0.8173 [95% confidence interval (CI), 0.7605-0.8741]. The logistic analysis revealed that a conventional scoring system was not associated with 28-day mortality. In the validation set, the discrimination of a newly developed nomogram was also good, with an AUC value of 0.7537 (95% CI, 0.6563-0.8512).
conclusionOur new nomogram is valuable in predicting the 28-day mortality of patients with severe sepsis and/or septic shock in the emergency department. Moreover, our readily available nomogram is superior to conventional scoring systems in predicting mortality.
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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.