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Comparison · NCT04026555-deaths

MEWS++ Monitoring vs Standard of Care Monitoring: deaths from any cause

Calculated by ConductScience from the counts the trial posted to ClinicalTrials.gov.

2 sourcestrial-comparisons-2026-03-23-0.1.0

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ConductScience Library. MEWS++ Monitoring vs Standard of Care Monitoring: deaths from any cause. Trial comparisons, record NCT04026555-deaths. Release trial-comparisons-2026-03-23-0.1.0, 23 Mar 2026. https://conductscience.org/library/comparisons/NCT04026555-deaths

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Measures6

Calculated by ConductScience from the counts the trial posted to ClinicalTrials.gov.

MeasureValue95% interval, lower95% interval, upperMethodNote
Risk in group 10.06990.0580.084wilson
Risk in group 20.09350.07850.111wilson
Risk difference, group 1 minus group 2-0.0236-0.0446-0.00305newcombe hybrid score
Risk ratio, group 1 over group 20.7480.5810.963log
Odds ratio, group 1 over group 20.7290.5530.96log
Number needed to treat, for one fewer death from any cause on MEWS++ Monitoring than on Standard of Care Monitoring42.422.4328from the risk difference interval

Groups2

Group 2 names the comparator: standard of care.

GroupTitleDescriptionWith the outcomeAnalysedClinicalTrials.gov code
Group 1MEWS++ Monitoring
This consists of all the patients that will be receiving MEWS++ escalation monitoring and provider alerting.~MEWS++ Monitoring: Patient's electronic medical record data will undergo processing by a machine learning algorithm (MEWS++).~Predictor Score: A score predicting the likelihood that the patient will experience a deterioration in their clinical condition within six hours will be generated. If the prediction score exceeds a predetermined threshold, an alert will be sent to the provider. The alerting protocol is tiered, with both a low and high threshold. If the score is above the low threshold, nursing will be notified. If the score is above the high threshold, RRT will be notified.
1041,488EG000
Group 2Standard of Care Monitoring
Patients in the control arm will have a score calculated but no alert will be sent.~Predictor Score: A score predicting the likelihood that the patient will experience a deterioration in their clinical condition within six hours will be generated. If the prediction score exceeds a predetermined threshold, an alert will be sent to the provider. The alerting protocol is tiered, with both a low and high threshold. If the score is above the low threshold, nursing will be notified. If the score is above the high threshold, RRT will be notified.
1171,252EG001

Harm

What it counts
Total, all-cause mortality
Time frame

Source ClinicalTrials.gov

Trial

Title
Realtime Streaming Clinical Use Engine for Medical Escalation
NCT number
NCT04026555
Phases
NA
Conditions
Clinical Deterioration, Hospital Medicine, Monitoring, Physiologic
Interventions
MEWS++ Monitoring, Predictor Score
Lead sponsor
Icahn School of Medicine at Mount Sinai
Results first posted
2025-01-14

Source ClinicalTrials.gov

Source

Release
trial-comparisons-2026-03-23-0.1.0
Release manifest SHA-256
f66225897fbf258b57ea10bdacfd0347d3cdfda93f7f5685234b7e06ea36fa57
AACT copy
2026-03-23
Tables read
outcome_counts.parquet, outcome_measurements.parquet, outcomes.parquet, reported_event_totals.parquet, reported_events.parquet, result_groups.parquet, studies.parquet, ctgov_trial.parquet

Source ClinicalTrials.gov

Sources 2

  • ClinicalTrials.gov's posted results, through CTTI's AACTFreely available. Acknowledgement requested
  • ClinicalTrials.govNo license stated
Each source's terms
  • ClinicalTrials.gov's posted results, through CTTI's AACTClinicalTrials.gov data via Aggregate Analysis of ClinicalTrials.gov (AACT), CTTI. CTTI makes its materials freely available and requests acknowledgement. https://aact.ctti-clinicaltrials.org/documentation/299
  • ClinicalTrials.govnone stated

ClinicalTrials.gov's data carry an international copyright outside the United States: https://clinicaltrials.gov/about-site/terms-conditions. The measures are ConductScience's calculation from them.

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