NCT02458807

Brief Summary

The World Health Organisation predicts that lung disease will be the World's third largest killer in the future. This research project is looking to see whether the concept of a "home hospital" using the latest gadgets and iPad technology, can help patients stay well and out of hospital. Portsmouth Hospitals Trust is collaborating with a Company based in the United Kingdom (UK) who has developed a test to predict when people with lung diseases, such as; asthma, COPD and bronchiectasis, who regularly have chest infections, are about to become poorly with another infection - a form of early warning system. The investigators hope that the test will eventually be able to be used by the patient at home daily, to help self-manage their condition. The test measures whether bacteria are present, in sputum, and in what quantity. This information can be used by the patient's healthcare team to consider providing treatment earlier, thus controlling the infection sooner and reducing the patient's symptoms so that patients can stay at home rather than being regularly admitted to hospital. Part of this "early warning system" that has been developed by the UK Company includes the daily measurement of a number of indicators of health. These are usually only measured in hospital or by a General Practitioner, but new devices have been made that are simple enough for everyone to use at home. The investigators will include 30 participants, with non-Cystic Fibrosis (CF) chronic respiratory conditions who will be asked to take daily measurements of their blood pressure, temperature, weight and how well their heart and lungs are working with easy-to-use devices. They will also measure their physically activity with an activity tracker and report their wellness and whether they have taken medication daily. Participants will also be asked to collect a sample of sputum and urine each morning. Taking the samples and measurements should only take between 5-15 minutes each day to carry out. The sputum and urine will be tested at the hospital and will be recorded and analysed, so that the researchers can learn what happens well before a person with these conditions falls sick and needs hospitalisation.

Trial Health

87
On Track

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
43

participants targeted

Target at P25-P50 for all trials

Timeline
Completed

Started Aug 2014

Shorter than P25 for all trials

Geographic Reach
1 country

1 active site

Status
completed

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

Study Start

First participant enrolled

August 18, 2014

Completed
6 months until next milestone

Primary Completion

Last participant's last visit for primary outcome

February 28, 2015

Completed
Same day until next milestone

Study Completion

Last participant's last visit for all outcomes

February 28, 2015

Completed
3 months until next milestone

First Submitted

Initial submission to the registry

May 28, 2015

Completed
4 days until next milestone

First Posted

Study publicly available on registry

June 1, 2015

Completed
Last Updated

September 30, 2022

Status Verified

June 1, 2022

Enrollment Period

6 months

First QC Date

May 28, 2015

Last Update Submit

September 29, 2022

Conditions

Outcome Measures

Primary Outcomes (1)

  • Exacerbation

    An exacerbation will be defined as the initiation of antimicrobial therapy for respiratory symptoms either at home or on admission, with or without concomitant steroids or admission. For patients who are already on continuous antibiotics, an exacerbation will be defined as starting a course of different antibiotics due to increased symptoms, or an increase or dose or frequency.

    6 months

Secondary Outcomes (1)

  • Treatment Efficacy

    6 months

Eligibility Criteria

Age18 Years+
Sexall
Healthy VolunteersNo
Age GroupsAdult (18-64), Older Adult (65+)
Sampling MethodProbability Sample
Study Population

Patients who are self-managing chronic respiratory conditions (apart from CF), and are colonised with either PA or HI and are prone to exacerbation.

You may qualify if:

  • Male or Female, aged 18 years or above.
  • Diagnosed with at least one (or a combination) of the following chronic respiratory conditions: asthma, COPD, non-CF bronchiectasis.
  • Previous positive bacterial culture for PA or HI.
  • Two or more exacerbations treated with antibiotics with the same pathogen within the last 12 months, one of which must have been within the last 6 months.
  • Has been exacerbation free for the previous 4 weeks.
  • Producing at least 1ml of sputum daily.
  • Must be capable of operating the self-monitoring devices and tablet-based IT system, or have a carer capable of undertaking the measurements and collection, storage and transport of samples.
  • Participant is willing and able to give informed consent for participation in the study.

You may not qualify if:

  • A suspected or confirmed diagnosis of Cystic Fibrosis
  • Any condition likely to limit participant survival or adherence during the study period in the judgement of the clinician, for example malignancy, cirrhosis of the liver.
  • Currently taking part in any other research study.

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

Portsmouth Hospitals NHS Trust, Queen Alexandra Hospital

Portsmouth, Hampshire, PO6 3LY, United Kingdom

Location

Related Publications (3)

  • Pasteur MC, Bilton D, Hill AT; British Thoracic Society Bronchiectasis non-CF Guideline Group. British Thoracic Society guideline for non-CF bronchiectasis. Thorax. 2010 Jul;65 Suppl 1:i1-58. doi: 10.1136/thx.2010.136119.

    PMID: 20627931BACKGROUND
  • Murphy TF. The many faces of Pseudomonas aeruginosa in chronic obstructive pulmonary disease. Clin Infect Dis. 2008 Dec 15;47(12):1534-6. doi: 10.1086/593187. No abstract available.

    PMID: 19025364BACKGROUND
  • Xie Y, Redmond SJ, Mohktar MS, Shany T, Basilakis J, Hession M, Lovell NH. Prediction of chronic obstructive pulmonary disease exacerbation using physiological time series patterns. Annu Int Conf IEEE Eng Med Biol Soc. 2013;2013:6784-7. doi: 10.1109/EMBC.2013.6611114.

    PMID: 24111301BACKGROUND

Related Links

Biospecimen

Retention: SAMPLES WITH DNA

Daily sputum and urine samples have been collected for study analysis. However we do not plan to extract DNA.

MeSH Terms

Conditions

Pulmonary Disease, Chronic ObstructiveAsthmaBronchiectasis

Condition Hierarchy (Ancestors)

Lung Diseases, ObstructiveLung DiseasesRespiratory Tract DiseasesChronic DiseaseDisease AttributesPathologic ProcessesPathological Conditions, Signs and SymptomsBronchial DiseasesRespiratory HypersensitivityHypersensitivity, ImmediateHypersensitivityImmune System Diseases

Study Officials

  • Prof Anoop Chauhan

    Portsmouth Hospitals NHS Trust

    PRINCIPAL INVESTIGATOR

Study Design

Study Type
observational
Observational Model
COHORT
Time Perspective
PROSPECTIVE
Sponsor Type
OTHER GOV
Responsible Party
SPONSOR

Study Record Dates

First Submitted

May 28, 2015

First Posted

June 1, 2015

Study Start

August 18, 2014

Primary Completion

February 28, 2015

Study Completion

February 28, 2015

Last Updated

September 30, 2022

Record last verified: 2022-06

Locations