AzTrials
AzTrials

Surgery--ComplicationsNCT04257344

Use of Wearables for Early Detection of Complications After Major Acute Abdominal Surgery

An observational study of Surgery--Complications and Abdomen Disease, run by Zealand University Hospital at 1 site in Denmark.

Completed

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

Official record
Search all trials

Trial summary

The purpose of the study is to investigate whether glucose profile, sleep disturbances and heart rate variability measured with wearable devices is associated with postoperative recovery and complications within 30 days after major emergency abdominal surgery. Read more about this study

Who is it for?
Ages 18 years and older
Conditions the study is for
Surgery--Complications, Abdomen Disease
How many people
40 participants
Where
1 siteDenmark
Study dates
1 Oct 2019to 20 Feb 2021
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 18 years and older
  • All sexes
  • No healthy volunteers
  • Adult, Older adult

Study population: the study population consists of all patients admitted at Zealands University Hospital Køge, who undergo major emergency abdominal surgery.

Who may be able to join

  • Patients undergoing major emergency abdominal surgery including laparotomy or laporoscopy. Indications include ileus, perforated hollow organ, intraabdominal bleeding, ischemia, wound dehiscence.

Who cannot join

  • Laparoscopic surgeries for diseases related to appendix, gall bladder or bile ducts are excluded, unless the procedure is converted to open surgery perioperative.
  • not understanding or speeking danish
  • cognitive dysfunction
  • chronic immobilization
  • pregnancy
  • diabetes (type I and II)
  • Permanent atrial fibrillation or pacemaker

Trial locations and contacts

1 site in 1 country.

Denmark1 site
  • Surgical department, Zealand University Hospital

    Køge, 4600

Other trials in Denmark

About this study

Official title: Association Between Postoperative Glucose Profile, Sleep and Heart Rate Variability and Postoperative Complications in Patients Undergoing Acute, Abdominal Surgery. A Prospective, Explorative Cohort Study

The purpose of the study is to investigate whether glucose profile, sleep disturbances and heart rate variability measured with wearable devices is associated with postoperative recovery and complications within 30 days after major emergency abdominal surgery.

The study is designed as an explorative, prospective cohort study. 40 patients undergoing major emergency abdominal surgery at Zealand's University Hospital Køge are included in the study, and inclusion occurs within 24 hours of end of surgery. Patients will be followed for 30 days, and three scheduled study visits are planned during follow up at postoperative day 10, 20 and 30.

Read more

Glucose is measured continuously with a wearable subcutaneous sensor (Dexcom G6). Glucose readings are validated in the perioperative setting using blood glucose measurements obtained with standard finger-pricks 3-5 times a day during hospitalization.

Actigraphy is used for assessing sleep- and activity patterns for the full study period.

Heart rate variation is measured with a compact Holter monitor. Furthermore, the study assesses patient-reported quality of recovery, glucose metabolism, nutritional status and mobility. Various data on demographics, peri- and postoperative data will be extracted from the electronic patient chart.

Read the detailed description

Purpose:

The purpose of the study is to investigate the glucose-profile, HRV and sleep disturbances for 30 days after major emergency abdominal surgery using continues measurements with wearable devices. Secondly, the study investigates the association between glucose profile, HRV, sleep-disturbances, patient reported recovery and postoperative complications.

Design and study population:

The study is designed as a prospective, explorative cohort study applying repeated measures. Patients undergoing major emergency abdominal surgery at Zealand's University Hospital Køge are included. Included patients receive a standardized treatment regimen (Optimizing Major EmerGency Abdominal surgery, OMEGA), which has been established in the surgical department in order to reduce unnecessary waiting time and optimize and standardize treatment before, during and after major emergency abdominal surgery. The treatment regimen includes pre-operative antibiotics, I.V. fluid, pain and nausea treatment, nasogastric tube and prioritized, fast access to CT-scans and final surgical treatment.

Sample Size:

To the extent of our knowledge, no prior studies have simultaneously investigated sleep disturbances, heart rate variability and glucose profile using continues measurements with wearables before and up to 30 days after major emergency abdominal surgery. A traditional power calculation would be based on arbitrary data and is therefore omitted. Hence, the present study is designed as an exploratory study with no primary endpoint and functions as a pilot study prior to future larger, focused cohort studies. It is estimated, that inclusion of 40 patients in the present study is feasible and provides sufficient statistical power to show significant changes and association between glucose profile, HRV, sleep patterns and patient reported outcome measures.

Course of the study and assessment tools:

Eligible patients will be contacted by study investigators within 12-24 hours after surgery when the patient has been re-transferred to the surgical ward. Included patients will be followed for 30 days, and three scheduled study visits are planned during follow up at postoperative day 10, 20 and 30.

Glucose is measured continuously from the interstitial fluid of the subcutaneous tissue with a wearable subcutaneous sensor (Dexcom G6). Continues Glucose measurement (CGM) is normally used by diabetic patients in an outpatient setting. Therefore, the CGM readings are validated in the perioperative setting using capillary blood glucose measurements obtained with standard finger-pricks 3-5 times a day during hospitalization. The CGM-monitor is mounted on the patient from inclusion until 30 days after surgery. Metrics of within-day glycemic variability include the standard deviation (SD), the 'mean amplitude of glucose excursions' (MAGE) and the 'derived coefficient of variation' (%CV). Stable glucose levels are defined as a %CV <36% according to the international consensus on use of continues glucose monitoring. Metrics of between-day glucose variability include 'Mean of daily differences' (MODD), which is the absolute difference between two glucose values measured at the same time with a 24 h interval. Furthermore, the daily 'mean glucose level' and 'time in ranges' (TIRs) will be reported.

Actigraphy is used for measuring sleep- and activity patterns for the full study period. The device consists of three linear accelerometer with an integrated minicomputer that allows the direct measure of accelerations in all directions. In this study we will use the 'Zero-crossing method', where every acceleration (>0,1g) during each epoch length are measured. The epoch length in this study is predefined to 60 seconds. Metrics of sleep disturbances include 'Time in Bed' (TIB), 'Total Sleep Time' (TST), ' Sleep Efficiency' (SE), 'Wake Time' (WT) and 'Wake after Sleep Onset' (WASO), Sleep Latency (SL) and number of awakenings longer than five minutes" (NOA).

A battery powered, rechargeable heart rate monitor (C3 Holter monitor, Cortrium, Denmark) will be used for monitoring HRV. The device is a triangular monitor (7x7x7cm) and consist of three integrated electrodes allowing for measuring long term ECG. Data is stored on internal memory on the device and can be transferred to appropriate desktop software (Kubios Premium). Heart rate will be monitored from inclusion until 7 days after discharge or until postoperative day 14, whatever comes first. Time-domain analysis of HRV will be applied as recommended in the guidelines from the European Society of Cardiology and The North American Society of Pacing and Electrophysiology.

The widely used questionnaire quality of recovery-15 (QoR/15) quantifies patient reported quality of recovery with 15 Danish translated and validated questions. The questionnaire is completed in 2-3 minutes and results in a score up to 150 points with a high score indicating high self-reported postoperative recovery. The participants fills out QoR-15 every day during hospitalization and once at each scheduled study visit.

Estimation of pancreatic beta-cell functions and peripheral insulin resistance will be assessed with paired C-peptide and plasma glucose samples obtained at inclusion, discharge and 30-day follow up. In addition, changes in p-carbamide, hemoglobin, hemoglobin A1C, C-reactive protein and white blood cell count are measured during the study period.

A designated dietician assesses the patient's daily nutritional energy intake during hospitalization. In addition, the patient's nutritional consumption after discharge is estimated with the "24 hour recall method" at each follow up visit and the questionnaire "Food Frequency questionnaire" (FFQ), at 30 day follow up. In the FFQ-questionnaire, the patient reports the frequency of the consumption of 104 different common food and drink products during the last 30 days.

To assess changes in the patient's mobility the "Timed Up-and-go"-test will be used. Furthermore, 7 basic abilities during hospitalization (e.g. showering or dressing) are assessed on a scale from 0-2 with the questionnaire "Mobility during Hospitalization". After discharge, the questionnaire "Activity of Daily Living (ADL)" is used for assessing whether the patient is able to perform everyday activities (e.g. cooking, grossery shopping) on a 1-5 scale. In addition, handgrip strength, weight and bio impendence is measured at inclusion, at discharge and at each follow up visit.

Data on demographics, peri- and postoperative data will be extracted from the electronic patient chart. Postoperative complications will be classified according to the Clavien-Dindo classification.

To investigate the subjective experience of being discharged with three wearable monitors, a designated anthropologist conducts a semi-structured interview in a subgroup of 6-8 patients.

Statistics:

For baseline characteristics, descriptive statistics will be applied including reports of mean, standard deviation (SD), median and interquartile range (IQR) when appropriate. For comparison, chi^2 test and t-test will be applied. When data is not normally distributed, log-transformation will be used when possible. Further statistical methods include correlation analysis and logistic regression modelling with adjustment of relevant confounders. A two-tailed p-value of 0.05 is considered statistically significant. Designated statistical software will be used (e.g. R version 3.6.1, https://www.r-project.org/). A trained statistician will be consulted when analyzing data.

Keywords
Wearables, Emergency surgery, Abdominal surgery, Patient reported outcome measures, Recovery, Continues Glucose Monitoring, Heart Rate Variation, Actigraphy, Sleep, Quality of Recovery

What is being measured

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

  1. Quality of Recovery-15 score

    The score is based on 15 questions with a maximum total score of 150 indicating excellent patient-reported recovery

    Measured: 30 days

  2. Heart rate variation

    Heart rate variation measured with wearable devices. Time domain measures are used.

    Measured: 7 days post discharge or maximum 14 days after surgery

  3. Total Sleep Time

    Total time of sleep during 24 hours, assessed with actigraphy

    Measured: 30 days

  4. Sleep Efficiency

    The ratio of the total sleep time compared to the total time spent in bed during 24 hours

    Measured: 30 days

  5. Mean amplitude of glucose excursions (MAGE)

    Measure of within-day glycemic variability assessed with continues glucose monitoring

    Measured: 30 days

Secondary outcomes (7)
  1. Time in bed

    total time in bed during 24 hours, assessed with actigraphy

    Measured: 30 days

  2. Wake Time

    Time awake during 24 hours assessed with acitgraphy

    Measured: 30 days

  3. Wake after Sleep Onset (WASO)

    Total time awake after sleep onset assessed with actigraphy

    Measured: 30 days

  4. Number of awakenings

    Number of awakenings longer than five minutes assessed with actigraphy

    Measured: 30 days

  5. Time in range

    The total time during 24 hours where the patient is normoglycemic, assessed with continues glucose monitoring

    Measured: 30 days

  6. Mean glucose level

    The mean glucose level during 24 hours assessed with continues glucose monitoring

    Measured: 30 days

  7. Derived coefficient of glucose variation (%CV)

    Measure of within-day glycemic variability

    Measured: 30 days

Timeline

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

  1. First posted6 Feb 2020
  2. Study start1 Oct 2019
  3. Primary completion22 Jan 2021
  4. Study completion20 Feb 2021

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
Prospective
Enrolment
40 participants (actual)
IDs, dates and publications
ClinicalTrials.gov ID
NCT04257344
Sponsor's protocol ID
REG-071-2019
Status last verified
Sep 2021
First submitted
11 Dec 2019
Last updated
21 Sep 2021
Results posted
No
Data monitoring committee
No
FDA-regulated drug
No
FDA-regulated device
No

Publications

  • Monnier L, Colette C, Owens DR. The application of simple metrics in the assessment of glycaemic variability. Diabetes Metab. 2018 Sep;44(4):313-319. doi: 10.1016/j.diabet.2018.02.008. Epub 2018 Mar 6.

    PubMed 29602622
  • Danne T, Nimri R, Battelino T, Bergenstal RM, Close KL, DeVries JH, Garg S, Heinemann L, Hirsch I, Amiel SA, Beck R, Bosi E, Buckingham B, Cobelli C, Dassau E, Doyle FJ 3rd, Heller S, Hovorka R, Jia W, Jones T, Kordonouri O, Kovatchev B, Kowalski A, Laffel L, Maahs D, Murphy HR, Norgaard K, Parkin CG, Renard E, Saboo B, Scharf M, Tamborlane WV, Weinzimer SA, Phillip M. International Consensus on Use of Continuous Glucose Monitoring. Diabetes Care. 2017 Dec;40(12):1631-1640. doi: 10.2337/dc17-1600.

    PubMed 29162583
  • Berger AM, Wielgus KK, Young-McCaughan S, Fischer P, Farr L, Lee KA. Methodological challenges when using actigraphy in research. J Pain Symptom Manage. 2008 Aug;36(2):191-9. doi: 10.1016/j.jpainsymman.2007.10.008. Epub 2008 Apr 8.

    PubMed 18400460
  • Heart rate variability. Standards of measurement, physiological interpretation, and clinical use. Task Force of the European Society of Cardiology and the North American Society of Pacing and Electrophysiology. Eur Heart J. 1996 Mar;17(3):354-81. No abstract available.

    PubMed 8737210
  • Gornall BF, Myles PS, Smith CL, Burke JA, Leslie K, Pereira MJ, Bost JE, Kluivers KB, Nilsson UG, Tanaka Y, Forbes A. Measurement of quality of recovery using the QoR-40: a quantitative systematic review. Br J Anaesth. 2013 Aug;111(2):161-9. doi: 10.1093/bja/aet014. Epub 2013 Mar 6.

    PubMed 23471753
  • Wallace TM, Levy JC, Matthews DR. Use and abuse of HOMA modeling. Diabetes Care. 2004 Jun;27(6):1487-95. doi: 10.2337/diacare.27.6.1487.

    PubMed 15161807
  • Beer-Borst S, Amado R. Validation of a self-administered 24-hour recall questionnaire used in a large-scale dietary survey. Z Ernahrungswiss. 1995 Sep;34(3):183-9. doi: 10.1007/BF01623156.

    PubMed 7502539
  • Podsiadlo D, Richardson S. The timed "Up & Go": a test of basic functional mobility for frail elderly persons. J Am Geriatr Soc. 1991 Feb;39(2):142-8. doi: 10.1111/j.1532-5415.1991.tb01616.x.

    PubMed 1991946

Questions about this trial

What is this clinical trial studying?

An observational study of Surgery--Complications and Abdomen Disease, run by Zealand University Hospital at 1 site in Denmark.

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 1 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 21 Sep 2021. Status can change between updates, so confirm with the study contact before making plans.

Where is the study taking place?

The record lists 1 site in Denmark. Whether a site is taking part right now should be confirmed with that site. See every site.

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?

Quality of Recovery-15 score (time frame: 30 days). The study lists 5 primary outcomes in all. It is what the study was designed to measure, not a finding.

Where can I read the original study information?

On the ClinicalTrials.gov record for NCT04257344, which also lists 8 linked publications.

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 21 Sep 2021.

Free account

Log in to keep searching

You’ve used your 3 free searches. AzTrials is free: log in or create a free account to keep searching clinical trials and save the ones you want to follow.

Create a free accountLog in