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Clinical Trial Details — Status: Recruiting

Administrative data

NCT number NCT03038698
Other study ID # BE295/16
Secondary ID
Status Recruiting
Phase N/A
First received January 30, 2017
Last updated November 16, 2017
Start date July 1, 2017
Est. completion date December 30, 2018

Study information

Verified date January 2017
Source University of KwaZulu
Contact n/a
Is FDA regulated No
Health authority
Study type Observational

Clinical Trial Summary

Pulmonary function testing is the most widely used tool for the diagnosis, severity assessment, management, risk factor categorization and follow-up of individuals with chronic lung disease. Africa has a high burden of infectious respiratory diseases which include tuberculosis, asthma and human immunodeficiency virus-related lung disease. Coupled with this is an increasing burden of non-communicable respiratory diseases; which include chronic obstructive pulmonary disease, emphysema, bronchiectasis and asthma. A proviso to the use of lung function testing is the determination of "normal" values; which are determined for age, gender, height and ethnicity for the relevant population. It is well recognised that the comparison of an individual patients' results to an ethnically inappropriate population may lead to the under or -over diagnosis of disease, inappropriate treatments and result in increased burden on individuals, their families and the healthcare system.

The investigators therefore propose to conduct a prospective well-designed study to include a representative sample of both adults and children (4000); to verify the validity of the retrospective pilot data, in a South African population.


Description:

Pulmonary function testing is the most widely used tool for the diagnosis, severity assessment, management, risk factor categorization and follow-up of individuals with chronic lung disease. Africa has a high burden of infectious respiratory diseases which include tuberculosis and human immunodeficiency virus-related lung disease.Coupled with this is an increasing burden of non-communicable respiratory diseases; which include chronic obstructive pulmonary disease, emphysema, bronchiectasis and asthma [1,2]. The management of these colliding epidemics requires correct diagnosis and management in order to ensure adequate resource allocation and avoidance of unnecessary costs.

A proviso to the use of lung function testing is the determination of "normal" values; which are determined for age, gender, height and ethnicity for the relevant population [3]. These "normal' values should also take into account the normal lung function decline associated and the aging process. It is well recognised that the comparison of an individual patients' results to an ethnically inappropriate population may lead to the under or -over diagnosis of disease, inappropriate treatments and result in increased burden on individuals, their families and the healthcare system [4-6]. There are numerous published reference equations, but the recently published Global Lung Initiative multi-ethnic reference equations published in 2012(GLI2012) collated the largest spirometry data set from individuals aged 2.5 to 95 years [7]. The innovation in GLI2012 was that it allowed for the smooth transitioning of data from childhood adulthood using sophisticated statistical modelling.

The investigators have previously collated data in phase 1 of this study using the GLI methodology on published African spirometry data from 26 594 individuals, and found a wide variation in predicted z-scores when fitting the African data to GLI2012, with a fairly good match between the black African males and African-Americans [15]. This dataset was skewed as due to the large number of African males and with a disproportionally larger contribution of data from North Africa and therefore requires confirmation. The investigators therefore propose to conduct a prospective well-designed study to include a representative sample of both adults and children (4000); to verify the validity of the retrospective pilot data, in a South African population.


Recruitment information / eligibility

Status Recruiting
Enrollment 4000
Est. completion date December 30, 2018
Est. primary completion date December 30, 2018
Accepts healthy volunteers Accepts Healthy Volunteers
Gender All
Age group 5 Years to 95 Years
Eligibility Inclusion Criteria:

- Study involves African adults and children age 5 to 95 years.

- Study number of at least 300 'healthy' subjects [7] per population band as per table 1.

- Availability of essential background information for each subject (birth date, date of test, gender, height, weight, body mass index, socioeconomic status and ethnic group).

- Consent given for adults 18 years and above, and assent for children over the age of 8 years and parental/guardian consent for all children under the age of 18 years.

Exclusion Criteria:

- Inter-current upper or lower respiratory tract infection

- Chronic lung diseases: including asthma and chronic obstructive pulmonary disease

- Current or previous tuberculosis infection

- Myocardial infarction

- Stroke

- Muscular disorders

- Previous history of cardiac diseases

- Current smoker

- Past smoker with >5 pack year of tobacco

- Previous lung surgery

Study Design


Related Conditions & MeSH terms


Locations

Country Name City State
South Africa University of KwaZulu Natal Durban KwaZulu Natal

Sponsors (3)

Lead Sponsor Collaborator
University of KwaZulu AstraZeneca, Medical Research Council, South Africa

Country where clinical trial is conducted

South Africa, 

Outcome

Type Measure Description Time frame Safety issue
Primary lung function in healthy adults and children lung function reference equations determination in healthy adults and children 2 years
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