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Name:
UMIN ID:

Recruitment status Enrolling by invitation
Unique ID issued by UMIN UMIN000028958
Receipt No. R000033133
Scientific Title Prediction of cardiac arrest time of palliative care patients in the intensive care unit. A single center retrospective cohort study.
Date of disclosure of the study information 2017/09/02
Last modified on 2020/09/03

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Basic information
Public title Prediction of cardiac arrest time of palliative care patients in the intensive care unit. A single center retrospective cohort study.
Acronym Algorithm of predicticting time of cardiac arrest.
Scientific Title Prediction of cardiac arrest time of palliative care patients in the intensive care unit. A single center retrospective cohort study.
Scientific Title:Acronym Algorithm of predicticting time of cardiac arrest.
Region
Japan

Condition
Condition Terminal phase disease in the intensive care unit
Classification by specialty
Emergency medicine Intensive care medicine
Classification by malignancy Others
Genomic information NO

Objectives
Narrative objectives1 The aim of this study is to predict cardiac arrest time in the terminal situation.
Basic objectives2 Efficacy
Basic objectives -Others
Trial characteristics_1
Trial characteristics_2
Developmental phase

Assessment
Primary outcomes Conduction of predicting cardiac arrest time.
Key secondary outcomes

Base
Study type Observational

Study design
Basic design
Randomization
Randomization unit
Blinding
Control
Stratification
Dynamic allocation
Institution consideration
Blocking
Concealment

Intervention
No. of arms
Purpose of intervention
Type of intervention
Interventions/Control_1
Interventions/Control_2
Interventions/Control_3
Interventions/Control_4
Interventions/Control_5
Interventions/Control_6
Interventions/Control_7
Interventions/Control_8
Interventions/Control_9
Interventions/Control_10

Eligibility
Age-lower limit
20 years-old <=
Age-upper limit

Not applicable
Gender Male and Female
Key inclusion criteria Patients who determined as terminal phase condition were enrolled to this study. Inclusion criteria is to confirm cardiac arrest with continuous arterial pressure monitoring in the intensive care unit.
Key exclusion criteria Less than 20 years old, insufficient data were excluded.
Target sample size 20

Research contact person
Name of lead principal investigator
1st name Shunsuke
Middle name
Last name Takaki
Organization Yokohama City University Hospital
Division name Intensive Care Unit
Zip code 236-0004
Address 3-9 Fukuura Kanazawaku Yokohama
TEL 045-787-2918
Email shunty5323@i.softbank.jp

Public contact
Name of contact person
1st name ayako
Middle name
Last name higashijima
Organization Yokohama City University
Division name Department of Critical Care
Zip code 236-0004
Address 3-9 Fukuura Kanazawaku Yokohama
TEL 045-787-2918
Homepage URL
Email shunty5323@gmail.com

Sponsor
Institute Yokohama City University
Institute
Department

Funding Source
Organization Self funding
Yokohama City University
Organization
Division
Category of Funding Organization Self funding
Nationality of Funding Organization

Other related organizations
Co-sponsor
Name of secondary funder(s)

IRB Contact (For public release)
Organization Yokohama City University Hospital
Address 3-9 Fukuura Kanazawaku
Tel 08023779787
Email shunty5323@gmail.com

Secondary IDs
Secondary IDs NO
Study ID_1
Org. issuing International ID_1
Study ID_2
Org. issuing International ID_2
IND to MHLW

Institutions
Institutions 済生会神奈川県病院

Other administrative information
Date of disclosure of the study information
2017 Year 09 Month 02 Day

Related information
URL releasing protocol
Publication of results Unpublished

Result
URL related to results and publications
Number of participants that the trial has enrolled
Results
Results date posted
Results Delayed
Results Delay Reason
Date of the first journal publication of results
Baseline Characteristics
Participant flow
Adverse events
Outcome measures
Plan to share IPD
IPD sharing Plan description

Progress
Recruitment status Enrolling by invitation
Date of protocol fixation
2017 Year 03 Month 01 Day
Date of IRB
2017 Year 03 Month 29 Day
Anticipated trial start date
2017 Year 03 Month 30 Day
Last follow-up date
2022 Year 03 Month 31 Day
Date of closure to data entry
Date trial data considered complete
Date analysis concluded

Other
Other related information Analysis of retrospective data are runnning.

We enrolled saiseikai kanagawa prefecture hospital as new new institution for collecting data.

Management information
Registered date
2017 Year 09 Month 01 Day
Last modified on
2020 Year 09 Month 03 Day


Link to view the page
URL(English) https://upload.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000033133

Research Plan
Registered date File name

Research case data specifications
Registered date File name

Research case data
Registered date File name


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