ArticleResuscitation2018
Predicting in-hospital mortality and unanticipated admissions to the intensive care unit using routinely collected blood tests and vital signs: Development and validation of a multivariable model.
Article in Resuscitation, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 3 of them syntheses 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
25 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Early warning score validation methodologies and performance metrics: a systematic review.BMC medical informatics and decision making · 2020Pooled it
- Early warning scores for detecting deterioration in adult hospital patients: systematic review and critical appraisal of methodology.BMJ (Clinical research ed.) · 2020Pooled it
- Development and validation of early warning score system: A systematic literature review.Journal of biomedical informatics · 2020Pooled it
- Understanding uncertainty in large language model predictions of early death in critically ill patients: a conformal prediction approach.JAMIA open · 2026Article
- Predicting Future Organ Support Needs Using Longitudinal Emergency Department Data: A Proof-of-Concept Study.Research square · 2026Article
- Understanding Uncertainty in Large Language Model Predictions of Early Death in Critically Ill Patients: A Conformal Prediction Approach.medRxiv : the preprint server for health sciences · 2025Article
- Electronic Health Records: A Gateway to AI-Driven Multimorbidity Solutions-A Comprehensive Systematic Review.Journal of clinical medicine · 2025Review
- Continuous monitoring of critically ill patients using photoplethysmography-the road to a less invasive ICU monitoring.Frontiers in digital health · 2025Article
- Article
- Prediction of postoperative patient deterioration and unanticipated intensive care unit admission using perioperative factors.PloS one · 2023Observational
- Development and validation of nomogram for unplanned ICU admission in patients with dilated cardiomyopathy.Frontiers in cardiovascular medicine · 2023Article
- Multi-center validation of machine learning model for preoperative prediction of postoperative mortality.NPJ digital medicine · 2022Article
- Which model is superior in predicting ICU survival: artificial intelligence versus conventional approaches.BMC medical informatics and decision making · 2022Article
- Age-adjusted interpretation of biomarkers of renal function and homeostasis, inflammation, and circulation in Emergency Department patients.Scientific reports · 2022Observational
- Vital Signs Prediction for COVID-19 Patients in ICU.Sensors (Basel, Switzerland) · 2021Article
- Predicting Patient Deterioration: A Review of Tools in the Digital Hospital Setting.Journal of medical Internet research · 2021Review
- Detecting Deteriorating Patients in the Hospital: Development and Validation of a Novel Scoring System.American journal of respiratory and critical care medicine · 2021Article
- Disposition Decision Support by Laboratory Based Outcome Prediction.Journal of clinical medicine · 2021Article
- Article
- Let Sleeping Patients Lie, avoiding unnecessary overnight vitals monitoring using a clinically based deep-learning model.NPJ digital medicine · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
Abstract
aimThe National Early Warning System (NEWS) is based on vital signs; the Laboratory Decision Tree Early Warning Score (LDT-EWS) on laboratory test results. We aimed to develop and validate a new EWS (the LDTEWS:NEWS risk index) by combining the two and evaluating the discrimination of the primary outcome of unanticipated intensive care unit (ICU) admission or in-hospital mortality, within 24 h.
methodsWe studied emergency medical admissions, aged 16 years or over, admitted to Oxford University Hospitals (OUH) and Portsmouth Hospitals (PH). Each admission had vital signs and laboratory tests measured within their hospital stay. We combined LDT-EWS and NEWS values using a linear time-decay weighting function imposed on the most recent blood tests. The LDTEWS:NEWS risk index was developed using data from 5 years of admissions to PH, and validated on a year of data from both PH and OUH. We tested the risk index's ability to discriminate the primary outcome using the c-statistic.
resultsThe development cohort contained 97,933 admissions (median age = 73 years) of which 4723 (4.8%) resulted inhospital death and 1078 (1.1%) in unanticipated ICU admission. We validated the risk index using data from PH (n = 21,028) and OUH (n = 16,383). The risk index showed a higher discrimination in the validation sets (c-statistic value (95% CI)) (PH, 0.901 (0.898-0.905); OUH, 0.916 (0.911-0.921)), than NEWS alone (PH, 0.877 (0.873-0.882); OUH, 0.898 (0.893-0.904)).
conclusionsThe LDTEWS:NEWS risk index increases the ability to identify patients at risk of deterioration, compared to NEWS alone.
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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.