| Unique ID issued by UMIN | UMIN000055695 |
|---|---|
| Receipt number | R000062803 |
| Scientific Title | Usefulness of Early Warning Score for Rapid Response System Activation: a observational study |
| Date of disclosure of the study information | 2024/10/02 |
| Last modified on | 2025/10/02 12:59:02 |
Usefulness of Early Warning Score for Rapid Response System Activation: a observational study
Usefulness of Early Warning Score for Rapid Response System Activation
Usefulness of Early Warning Score for Rapid Response System Activation: a observational study
Usefulness of Early Warning Score for Rapid Response System Activation
| Japan |
Patient with Rapid Response System activated
| Intensive care medicine |
Others
NO
Investigate whether the hospital's rapid response system (Rapid Response System :RRS) is properly activated.
Efficacy
NEWS evaluated by RRS staff at the time of patient contact
Observational
| 20 | years-old | <= |
| Not applicable |
Male and Female
1) Patients with RRS activated and a record of RRS activity
2) Patients whose EWS was calculated and screened by RRS staff during hospitalization
None
200
| 1st name | Masashi |
| Middle name | |
| Last name | Yokose |
Yokohama City University Hospital
Department of anesthesiology and critical care medicine
236-0004
3-9, Fukuura, Kanazawa-ku, Yokohama, Japan
81457872800
yokose_p12@yahoo.co.jp
| 1st name | Masashi |
| Middle name | |
| Last name | Yokose |
Yokohama City University Hospital
Department of anesthesiology and critical care medicine
236004
3-9, Fukuura, Kanazawa-ku, Yokohama, Japan
81457872800
yokose_p12@yahoo.co.jp
Yokohama City University
Masashi Yokose
Self funding
Self funding
The institutional ethics commitee of Yokohama City University Hospital
3-9, Fukuura, Kanazawa-ku, Yokohama, Japan
+81457872800
rinri@yokohama-cu.ac.jp
NO
| 2024 | Year | 10 | Month | 02 | Day |
Unpublished
221
No longer recruiting
| 2024 | Year | 07 | Month | 16 | Day |
| 2024 | Year | 07 | Month | 16 | Day |
| 2024 | Year | 10 | Month | 02 | Day |
| 2025 | Year | 12 | Month | 31 | Day |
Patients characteristics
1) age, sex, height, weight, past history, comorbidity, DNAR or not
2) Internal medicine or surgery, main disease
3) RRS activation location, reason for activation, and time of activation
4) NEWS
5) EWS
6) Intervention by RRS and details of intervention
7) Outcome
8) WBC, CRP
9) DNAR acquisition after RRS activation
10) Survival discharge, transfers, death, length of hospital stay, length of ICU stay
Statistical analysis
Primary outcome
Descriptions with and without RRS intervention
Use t-tests for between-group comparisons
ANCOVA will be used to adjust for covariate.
Predictive ability of NEWS to predict the presence or absence of intervention by RRS: ROC(Delong)
Logistic regression analysis:
Object variable, Presence or absence of any intervention
explanatory variables, Age, sex, internal medicine or surgery, NEWS, Inflammation
Secondary outcome
1) Patient background: Description using mean or median
2) Reason for actiavting RRS:Frequency of each item in the RRS activation criteria
3) EWS scores: Description using mean or median Use t-tests for between-group comparisons
| 2024 | Year | 10 | Month | 01 | Day |
| 2025 | Year | 10 | Month | 02 | Day |
Value
https://center6.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000062803