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Evaluation of ultrasound for screening and diagnosis of pulmonary tuberculosis, KwaZulu Natal, South Africa, 2019-20

South Africa, 2019 - 2020
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Reference ID
AHRI.Pocus.AnalyticalDataset.2022.v1
Producer(s)
Prof. Alison Grant, Dr Emily Wong, Dr Al Leslie, Dr Aaron Karat, Dr Matthew Fentress, Dr Priya Maharaj, Dr Patricia Henwood
Metadata
Documentation in PDF DDI/XML JSON
Created on
Aug 25, 2022
Last modified
Aug 25, 2022
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8367
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  • Study Description
  • Data Dictionary
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  • Version
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  • Coverage
  • Producers and sponsors
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  • Data collection
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  • Identification

    Survey ID number

    AHRI.Pocus.AnalyticalDataset.2022.v1

    Title

    Evaluation of ultrasound for screening and diagnosis of pulmonary tuberculosis, KwaZulu Natal, South Africa, 2019-20

    Country
    Name Country code
    South Africa ZA
    Abstract

    Improved tests for screening and diagnosing TB in low-income settings are an essential component of the End TB strategy. Transthoracic ultrasound has generally been considered to perform poorly for the diagnosing pulmonary TB, but newer devices may offer better performance characteristics. The current research was a proof-of-concept study to determine the performance characteristics of thoracic and abdominal ultrasound for the diagnosis of TB in adults compared to a microbiological reference standard under ideal conditions, to inform whether future evaluation and development of the technique is needed.

    We recruited participants during the period from October 2019 to March 2020 from two sources:

    1. Vukuzazi: A population-based health care screening study (named Vukuzazi), which aimed to describe the frequency and distribution of multimorbidity, including an extensive TB screening component, among adults in the AHRI demographic surveillance area in northern KwaZulu-Natal (Gunda et al., 2021). Participants from this source were eligible if they had undergone a chest radiograph and had results from a sputum sample tested for mycobacteria in the AHRI lab;

    2. Clinic: Individuals who attended a primary healthcare clinic in KwaZulu-Natal to start TB treatment.
      Participants were eligible to take part in the study if they were adults (aged 18 years or above) and healthy enough to travel and participate in the study. We recruited participants from the Vukuzazi study into four groups based on the following criteria:

    • group 1: no TB symptoms, negative sputum Xpert MTB/RIF Ultra, normal chest radiograph;
    • group 2: negative sputum Xpert MTB/RIF Ultra, abnormal chest radiograph;
    • group 3: positive sputum Xpert MTB/RIF Ultra, abnormal chest radiograph;
    • group 4, positive sputum Xpert MTB/RIF Ultra, normal chest radiograph.

    Participants sampled from the clinic were classified into group 3. This allowed the comparison of those without evidence of TB (group 1) to those with either microbiological or radiological evidence of TB (groups 2-4). Participants from the clinic completed a questionnaire aligned to that used in Vukuzazi concerning health care history, TB symptoms, and HIV and TB treatment. All participants gave venous blood for testing for HIV antibodies. For the primary analysis all participants underwent comprehensive thoracic and focused abdominal ultrasound examination performed according to the study protocol by clinicians masked to all clinical and imaging data. Experienced ultrasonographers interpreted the resulting ultrasound images for the presence of typical chest radiography features of pulmonary or extrapulmonary TB. A comparison of these features between the study groups allowed us to estimate the sensitivity and specificity of individual and combined ultrasound features to detect TB (microbiological/radiological).

    Kind of Data

    Clinical Data

    Unit of Analysis

    Study participant

    Version

    Version Description

    V1.0.0

    Scope

    Topics
    Topic Vocabulary URI
    Tuberculosis, Ultrasonography, Point-of-Care Testing Africa Health Research Institute www.ahri.org
    Keywords
    Tuberculosis, Ultrasonography, Point-of-Care Testing, Sputum samples, sputum Xpert MTB/RIF testing, TB symptom screening

    Coverage

    Geographic Coverage

    Demographic surveillance area of the Africa Health Research Institute in uMkhanyakude district, KwaZulu-Natal, and a TB clinic near Durban, KwaZulu-Natal.

    Universe

    As above, participants were drawn from two populations. The first population was that covered by the ongoing ARHI demographic surveillance located in rural KwaZulu-Natal which was established in 2000 (Gareta et al., 2021). In 2018, within the ongoing surveillance, the 'Vukuzazi' study offered community-wide health screening and bio-sampling to understand the frequency and distribution of major health care needs in the population (Gunda et al., 2021). For this study we selected adult (18 years and above) participants of Vukuzazi who had completed the full set of TB screening tests and were healthy enough to travel to Durban to undergo the imaging for this the study. This allowed us to sample healthy participants and participants with varying degrees of microbiological and radiological evidence for TB. The second population were adults (18 years and above) who attended a primary healthcare clinic in KwaZulu-Natal to start TB treatment who had microbiologically-confirmed TB.

    Producers and sponsors

    Primary investigators
    Name Affiliation
    Prof. Alison Grant Africa Health Research Institute, Durban, South Africa, London School of Hygiene & Tropical Medicine, UK
    Dr Emily Wong Africa Health Research Institute, Durban, South Africa
    Dr Al Leslie Africa Health Research Institute, Durban, South Africa
    Dr Aaron Karat London School of Hygiene & Tropical Medicine, UK
    Dr Matthew Fentress London School of Hygiene & Tropical Medicine, UK
    Dr Priya Maharaj Inkosi Albert Luthuli Central Hospital, Durban, South Africa
    Dr Patricia Henwood Brigham and Women’s Hospital/Harvard Medical School
    Producers
    Name
    Africa Health Research Institute
    Funding Agency/Sponsor
    Name Role
    Bill & Melinda Gates Foundation Full funding
    Other Identifications/Acknowledgments
    Name Affiliation Role
    Dickman Gareta Africa Health Research Institute Data management
    Njabulo Dayi Africa Health Research Institute Data management
    Njabulo Myeza Africa Health Research Institute Data management
    Mthokozisi Mnomiya Africa Health Research Institute Data collection
    Thabani Mtshali Africa Health Research Institute Data collection
    Zoey Mhlane Africa Health Research Institute Data collection
    Nokwanda Ngcobo Africa Health Research Institute Data collection
    Theresa Smit and the AHRI Laboratory Team Africa Health Research Institute Lab data collection and analysis
    Dilshaad Khan Department of Pulmonology and Critical Care, Inkosi Albert Luthuli Central Hospital, Durban, South Africa Data collection
    Mohammed Mitha Department of Pulmonology and Critical Care, Inkosi Albert Luthuli Central Hospital, Durban, South Africa Data collection
    Philip Caligiuri Department of Pulmonology and Critical Care, Inkosi Albert Luthuli Central Hospital, Durban, South Africa Data analysis
    Stephen Olivier Africa Health Research Institute Statistical analysis
    Dirhona Ramjit Africa Health Research Institute Study coordination
    Anita Edwards Africa Health Research Institute Study coordination
    Farina Karim Africa Health Research Institute Study coordination
    Tansy Edwards LSHTM Advised on approach to statistical analysis
    Butterfly Network Butterfly Provided an ultrasound device

    Sampling

    Sampling Procedure

    Sample size was based on precision estimates. With 50 participants with bacteriologically-confirmed TB, we calculated that we would be able to demonstrate ultrasound sensitivity of 80% with a 95% confidence interval (CI) of 67%-89%, and with 100 participants without active TB, we would be able to demonstrate specificity of ultrasound of 80% with a 95% CI of 71%-87%. The study was designed to be exploratory, with a relatively small number of participants, aiming to estimate sensitivity and specificity relatively imprecisely to guide whether larger-scale evaluation was warranted. We did not calculate predictive values because our sample purposively included more people with active TB than would usually be found in routine populations being screened for TB, and thus predictive values from this study could not be generalized.

    Data collection

    Dates of Data Collection
    Start End
    2019-10-01 2020-03-30

    Data Access

    Access conditions

    The representative of the Receiving Organization agrees to comply with the following conditions:

    1. Access to the restricted data will be limited to the Lead Researcher and other members of the research team listed in this request.
    2. Copies of the restricted data or any data created on the basis of the original data will not be copied or made available to anyone other than those mentioned in this Data Access Agreement, unless formally authorized by the Data Archive.
    3. The data will only be processed for the stated statistical and research purpose. They will be used for solely for reporting of aggregated information, and not for investigation of specific individuals or organizations. Data will not in any way be used for any administrative, proprietary or law enforcement purposes.
    4. The Lead Researcher must state if it is their intention to match the restricted microdata with any other micro-dataset. If any matching is to take place, details must be provided of the datasets to be matched and of the reasons for the matching. Any datasets created as a result of matching will be considered to be restricted and must comply with the terms of this Data Access Agreement.
    5. The Lead Researcher undertakes that no attempt will be made to identify any individual person, family, business, enterprise or organization. If such a unique disclosure is made inadvertently, no use will be made of the identity of any person or establishment discovered and full details will be reported to the Data Archive. The identification will not be revealed to any other person not included in the Data Access Agreement.
    6. The Lead Researcher will implement security measures to prevent unauthorized access to licensed microdata acquired from the Data Archive. The microdata must be destroyed upon the completion of this research, unless the Data Archive obtains satisfactory guarantee that the data can be secured and provides written authorization to the Receiving Organization to retain them. Destruction of the microdata will be confirmed in writing by the Lead Researcher to the Data Archive.
    7. Any books, articles, conference papers, theses, dissertations, reports, or other publications that employ data obtained from the Data Archive will cite the source of data in accordance with the citation requirement provided with the dataset.
    8. An electronic copy of all reports and publications based on the requested data will be sent to the Data Archive.
    9. The original collector of the data, the Data Archive, and the relevant funding agencies bear no responsibility for use of the data or for interpretations or inferences based upon such uses.
    10. This agreement will come into force on the date that approval is given for access to the restricted dataset and remain in force until the completion date of the project or an earlier date if the project is completed ahead of time.
    11. If there are any changes to the project specification, security arrangements, personnel or organization detailed in this application form, it is the responsibility of the Lead Researcher to seek the agreement of the Data Archive to these changes. Where there is a change to the employer organization of the Lead Researcher this will involve a new application being made and termination of the original project.
    12. Breaches of the agreement will be taken seriously and the Data Archive will take action against those responsible for the lapse if willful or accidental. Failure to comply with the directions of the Data Archive will be deemed to be a major breach of the agreement and may involve recourse to legal proceedings. The Data Archive will maintain and share with partner data archives a register of those individuals and organizations which are responsible for breaching the terms of the Data Access Agreement and will impose sanctions on release of future data to these parties.
    Citation requirements

    Grant, A. et al. (2022) “Evaluation of ultrasound for screening and diagnosis of pulmonary tuberculosis, KwaZulu Natal, South Africa, 2019-20.” Africa Health Research Institute. doi: 10.23664/AHRI.POCUS.ANALYTICALDATASET.2022.V1

    Metadata production

    DDI Document ID

    DDI.AHRI.PoCUS.AnalyticalDataset.2022.v1

    Producers
    Name
    Africa Health Research Institute
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