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Critical IllnessNCT02751164

Evaluation of the Association Between Day and Time of Admission to Critical Care and Acute Hospital Outcome

An observational study of Critical Illness, run by Intensive Care National Audit & Research Centre.

Completed

Finished. The study has ended and is not enrolling. Results may be posted on the official record.

Official record
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Trial summary

A retrospective analysis of the Case Mix Programme database to evaluate the association between day and time of admission to critical care and acute hospital outcome for unplanned admissions to adult, general critical care units in England, Wales and Northern Ireland. Read more about this study

Who is it for?
Ages 16 years and older
Conditions the study is for
Critical Illness
What is being tested?
Day/time of admission to the critical care unit
How many people
195,428 participants
Where
No sites listed yet
Study dates
Apr 2013to May 2016
Phase
Observational
Are there results?
None posted in the registry

Key requirements

Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.

  • Ages 16 years and older
  • All sexes
  • No healthy volunteers
  • Child, Adult, Older adult

Study population: Unplanned admissions to National Health Service adult, general critical care units in England, Wales and Northern Ireland

Who may be able to join

  • Adult patients (age 16 years or older)
  • Unplanned admission to the critical care unit (i.e. excluding admissions from theatre following elective or scheduled surgery, planned local medical admissions, planned transfers and repatriations)

Who cannot join

  • Readmission of the same patient to the critical care unit during the same acute hospital stay
  • Transfer from another critical care unit
  • Transfer from another acute hospital
  • Admission for organ donation
  • Missing time of admission
  • Missing acute hospital outcome
  • Missing key confounders (age, location prior to admission, primary reason for admission, all physiology)

About this study

Official title: Evaluation of the Association Between Day and Time of Admission to Critical Care and Acute Hospital Outcome for Unplanned Admissions to Adult, General Critical Care Units in the United Kingdom

A retrospective analysis of the Case Mix Programme database to evaluate the association between day and time of admission to critical care and acute hospital outcome for unplanned admissions to adult, general critical care units in England, Wales and Northern Ireland.

Read the detailed description
  1. Objective To conduct an analysis of the Case Mix Programme database to evaluate the association between day and time of admission to critical care and acute hospital outcome for unplanned admissions to National Health Service adult, general critical care units in England, Wales and Northern Ireland.
  2. Exposure The primary exposure variable will be the day and time of admission to the critical care unit, dividing the week into 14 time periods: Monday 08:00-17:59; Monday 18:00-Tuesday 07:59; Tuesday 08:00-17:59, etc. For summary tables, these will be collapsed into the following categories:
  • Weekday daytime: Monday-Friday 08:00-17:59
  • Weekend daytime: Saturday-Sunday 08:00-17:59
  • Weekday night: Monday-Friday 18:00-07:59 the next day
  • Weekend night: Saturday-Sunday 18:00-07:59 the next day
  1. Outcome The primary outcome will be acute hospital mortality, defined as death before ultimate discharge from acute hospital.
  2. Key confounders The key potential confounders to be adjusted for in the analysis are:
  • Age
  • Severe conditions in the past medical history
  • Prior dependency
  • Number of days from hospital admission to critical care unit admission
  • Location prior to admission
  • Cardiopulmonary resuscitation (CPR) within 24 hours prior to admission to critical care
  • Primary reason for admission to critical care
  • Acute severity of illness - Intensive Care National Audit \& Research Centre (ICNARC) Physiology Score Age will be defined as the age in whole years at the time of admission to the critical care unit and will be included in the model as a linear term. Severe conditions in the past medical history will be defined according to the Acute Physiology And Chronic Health Evaluation (APACHE) II methodology and must have been evident and documented in the six months prior to admission to the critical care unit. Conditions will be categorised into seven binary covariates:
  • Severe cardiovascular disease - fatigue, claudication, dyspnoea or angina at rest (New York Heart Association functional class IV)
  • Severe respiratory disease - shortness of breath with light activity due to pulmonary disease or home ventilation
  • End-stage renal failure - requirement for chronic renal replacement therapy for irreversible renal disease
  • Severe liver disease - biopsy proven cirrhosis, portal hypertension or hepatic encephalopathy
  • Haematological malignancy - acute or chronic myelogenous/lymphocytic leukaemia, multiple myeloma or lymphoma
  • Metastatic disease - distant metastases documented by surgery, imaging or biopsy
  • Immunocompromise - radiotherapy, chemotherapy, daily high-dose steroids, HIV/AIDS or congenital immuno-humoral or cellular immune deficiency state Prior dependency will be assessed based on the ability to perform usual daily activities (e.g. bathing, dressing, going to the toilet, moving in/out of bed/chair, continence and eating) during the two weeks prior to admission to acute hospital and prior to the onset of the acute illness, categorised as:
  • Able to live without assistance in daily activities
  • Some (minor/major) assistance with daily activities
  • Total assistance with all daily activities The number of days from acute hospital admission to critical care unit admission will be categorised as 0 days (i.e. admission to the critical care unit on the same calendar day as admission to hospital), 1 day, 2 days, 3-7 days or 8 or more days. Location prior to admission to the critical care unit will be categorised as:
  • Emergency department/not in hospital
  • Theatre (emergency/urgent surgery)
  • Ward, obstetric area or intermediate care area Patients admitted from a transient area (e.g. imaging, specialist treatment area, recovery) will be assigned to a category according to their previous location. CPR within 24 hours prior to admission to critical care will be defined as receipt of internal or external cardiac massage (with or without defibrillation) and categorised as either in-hospital (administered by an in-hospital resuscitation team or equivalent), out-of-hospital or no CPR. The primary reason for admission to the critical care unit will be recorded using the ICNARC Coding Method, a hierarchical coding method specifically designed for recording reasons for admission to critical care. For descriptive tables, primary reason for admission will be categorised according to the body system (respiratory, cardiovascular, gastrointestinal, neurological, genitourinary, endocrine or musculoskeletal/dermatological). For modelling, primary reason for admission will be categorised according to body system and pathological/physiological process (e.g. respiratory infection), with categories containing fewer than 100 admissions combined at the body system level. Acute severity of illness will be assessed using the ICNARC Physiology Score based on the highest/lowest values of 12 physiological parameters during the first 24 hours following admission to the critical care unit. The APACHE II Score will also be reported as a descriptor of severity of illness but not included in modelling due to collinearity with age, past medical history and physiology. Delayed admission to the critical care unit (defined as a delay of at least one hour between the documented decision to admit a patient to the critical care unit and the actual admission, and further subcategorised as a delay of more than 4 hours versus up to 4 hours) will be explored as a potential mediator of the effect of day/time of admission on outcome.
  1. Handling of missing data From previous analyses of this high-quality clinical database, levels of missing data are anticipated to be very low. Patients missing the primary outcome or key confounders (age, location prior to admission, primary reason for admission) will therefore be excluded from the analysis. Patients missing other binary/categorical confounders/mediators will be assumed to be in the lowest risk category (i.e. no severe conditions in past medical history, no assistance with daily activities, no CPR, no delay). Following standard approaches, missing physiological parameters will be assumed to be normal and assigned zero points in the ICNARC Physiology Score (except for patients missing all physiology, who will be excluded).
  2. Analysis

Flow diagram of study inclusion

Number of admissions by day/time of admission (1-hour categories)

Number of admissions by day/time of admission (14 categories used in analysis)

Characteristics of included patients by broad categories of day/time of admission:

  • Age mean (SD)
  • Sex n (%)
  • Severe conditions in the past medical history (cardiovascular, respiratory, renal, liver, haematological malignancy, metastatic disease, immunosuppression) n (%)
  • Prior dependency (no/some/total assistance with daily activities) n (%)
  • Number of days from hospital admission to critical care unit admission (0, 1, 2, 3-7, >7) n (%)
  • Location prior to admission to critical care (ED/not in hospital, theatre, ward/intermediate care) n (%)
  • Delayed admission to critical care (no delay, up to 4 hours, >4 hours) n (%)
  • Duration of delay (hours) median (IQR)
  • CPR within 24 hours prior to admission to critical care (no, in-hospital, out-of-hospital) n (%)
  • Primary reason for admission to critical care (body system) n (%)
  • ICNARC Physiology Score mean (SD)
  • APACHE II Score mean (SD)
  • Critical care unit outcome n (%)
  • Critical care unit length of stay stratified by outcome median (IQR)
  • Acute hospital outcome n (%)
  • Acute hospital length of stay stratified by outcome median (IQR)

Logistic regression modelling, reported as odds ratios with 95% confidence intervals. Three multilevel logistic regression models will be fitted on the outcome of acute hospital mortality (each including a random effect of critical care unit):

  1. Unadjusted model with a single covariate of day/time of admission (8-hour categories)
  2. Adjusted for the following additional covariates:
  • Age (linear)
  • Severe conditions in past medical history (binary)
  • Prior dependency (categorical)
  • Number of days from hospital admission to critical care unit admission (categorical)
  • Location prior to admission (categorical)
  • CPR prior to admission (categorical)
  • Primary reason for admission (categorical: body system and pathological/ physiological process)
  • ICNARC Physiology Score (linear)
  1. Including an additional covariate of delayed admission (no delay, up to 4 hour delay, >4 hour delay) to evaluate mediation of the effect of day/time of admission

The following hypothesis tests will be conducted on each model:

  • The global effect of day/time of admission (test of homogeneity)
  • A comparison of weekend (Sat 08:00-Mon 07:59) versus weekday (Mon 08:00-Sat 07:59)
  • A comparison of night (18:00-07:59) versus daytime (08:00-17:59)
  • A comparison of weekend daytime (Sat-Sun 08:00-17:59) versus weekday daytime (Mon-Fri 08:00-17:59)
  • A comparison of weekend night (Sat-Sun 18:00-07:59 the next day) versus weekday night (Mon-Fri 18:00-07:59 the next day)

Post-estimation marginal predicted mortality holding all other covariates at the values observed in the dataset (and zero random effect) will be reported by day/time of admission (14 categories)

Being tested
Day/time of admission to the critical care unit
Medical subject headings
Critical Illness

What participants receive

What participants receive. In a randomised study each person is assigned to one group by chance.

  • Day/time of admission to the critical care unitOther

Study groups in NCT02751164
Study groupRoleWhat they receive
Weekday daytimeAdmitted to the critical care unit Monday-Friday 08:00-17:59
Receives: Other: Day/time of admission to the critical care unit
Weekend daytimeAdmitted to the critical care unit Saturday-Sunday 08:00-17:59
Receives: Other: Day/time of admission to the critical care unit
Weekday nightAdmitted to the critical care unit Monday-Friday 18:00-07:59 the next day
Receives: Other: Day/time of admission to the critical care unit
Weekend nightAdmitted to the critical care unit Saturday-Sunday 18:00-07:59 the next day
Receives: Other: Day/time of admission to the critical care unit

What is being measured

The primary outcome is the main question the study is designed to answer.

  1. Acute hospital mortality

    Death before ultimate discharge from acute hospital

    Measured: Discharge from acute hospital, an average of 22 days

Timeline

From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.

  1. First posted26 Apr 2016 (estimated)
  2. Study startApr 2013
  3. Primary completionMay 2016
  4. Study completionMay 2016

Resources

More details

For doctors and researchers: how the study is designed, who runs it, and its registry IDs.

Study design
Study type
Observational
Observational model
Cohort
Time perspective
Retrospective
Enrolment
195,428 participants (actual)
IDs, dates and publications
ClinicalTrials.gov ID
NCT02751164
Sponsor's protocol ID
DAAG161148
Status last verified
Sep 2016
First submitted
19 Apr 2016
Last updated
7 Sep 2016
Results posted
No
Data monitoring committee
No
Individual data sharing
No

Questions about this trial

What is this clinical trial studying?

An observational study of Critical Illness, run by Intensive Care National Audit & Research Centre.

The full registered description is in the About this study section and the official record.

Who may be eligible to take part?

The sponsor lists 2 inclusion and 7 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.

Is this clinical trial currently recruiting?

The record says: finished, as of the sponsor's last update on 7 Sep 2016. Status can change between updates, so confirm with the study contact before making plans.

What are the possible benefits and risks?

They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.

Are results available for this study?

The study is completed, but results are not available in the source record. That does not mean the treatment did or did not work.

How can a doctor refer a patient or contact the research team?

The record lists no contact. The official record names the sponsor, who can be asked directly. AzTrials does not enrol participants or take referrals.

What does the primary outcome measure?

Acute hospital mortality (time frame: Discharge from acute hospital, an average of 22 days). It is what the study was designed to measure, not a finding.

Where can I read the original study information?
Does a listing mean the treatment is approved or proven to work?

No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.

How often is this information updated?

AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 7 Sep 2016.

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