Isisekelo Sempilo:Evaluation of ultrasound for screening and diagnosis of pulmonary tuberculosis, KwaZulu Natal, South Africa, 2019-20 DDI.AHRI.PoCUS.AnalyticalDataset.2022.v1 Matthew Fentress Alison Grant Anita Edwards Stephen Olivier Africa Health Research Institute Nesstar Publisher Evaluation of ultrasound for screening and diagnosis of pulmonary tuberculosis, KwaZulu Natal, South Africa, 2019-20 AHRI.Pocus.AnalyticalDataset.2022.v1 Prof. Alison Grant Dr Emily Wong Dr Al Leslie Dr Aaron Karat Dr Matthew Fentress Dr Priya Maharaj Dr Patricia Henwood

Dickman Gareta

Njabulo Dayi

Njabulo Myeza

Mthokozisi Mnomiya

Thabani Mtshali

Zoey Mhlane

Nokwanda Ngcobo

Theresa Smit and the AHRI Laboratory Team

Dilshaad Khan

Mohammed Mitha

Philip Caligiuri

Stephen Olivier

Dirhona Ramjit

Anita Edwards

Farina Karim

Tansy Edwards

Butterfly Network

Africa Health Research Institute Nesstar Publisher Bill & Melinda Gates Foundation OPP1212544 V1.0.0 Tuberculosis, Ultrasonography, Point-of-Care Testing, Sputum samples, sputum Xpert MTB/RIF testing, TB symptom screening Tuberculosis, Ultrasonography, Point-of-Care Testing South Africa Demographic surveillance area of the Africa Health Research Institute in uMkhanyakude district, KwaZulu-Natal, and a TB clinic near Durban, KwaZulu-Natal. Study participant 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. Clinical Data 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 AHRI.Pocus.AnalyticalDataset.2022.v1.NSDstat 92 40 Nesstar 200801 PoCUS Unique Identifier 92 0 Site 92 0 TB (Bacteriologic) 84 8 0 No 50 1 Yes 34 Sysmiss 8 TB (Bacteriologic or Radiologic) 92 0 0 No 50 1 Yes 42 TB (Bacteriologic vs Healthy - Excludes CXR abnormalities) 71 21 0 No 37 1 Yes 34 Sysmiss 21 Sex 92 0 1 Male 53 2 Female 39 Age (years) 92 0 18 74 41.88 13.742 HIV Status 92 0 0 Negative 43 1 Positive 49 On ART self reported 48 44 0 No 13 1 Yes 35 Sysmiss 44 CD4 Lymphocytes Abs 43 49 66 1356 631.791 324.908 Any TB symptoms 92 0 0 No 58 1 Yes 34 Current smoker 92 0 0 No 71 1 Yes 21 Body Mass Index 92 0 7.621 54.943 23.165 6.731 Body Mass Index (Categories) 92 0 1 Underweight 20 2 Normal 49 3 Overweight 11 4 Obese 12 Raised blood sugar (Ever been informed by health care worker) 44 48 0 No 41 1 Yes 3 Sysmiss 48 TB group 92 0 1 TB positive Micro 34 2 Abnormal CXR TB 8 3 Abnormal CXR not TB 13 4 Healthy 37 Prior TB treatment 92 0 0 No 20 1 Yes 69 3 Unknown 3 Any consolidation 92 0 0 No 60 1 Yes 32 Consolidation (Upper) 92 0 0 No 76 1 Yes 16 Small Subpleural consolidation 92 0 0 No 54 1 Yes 38 Small Subpleural consolidation (Upper) 92 0 0 No 74 1 Yes 18 Small Subpleural consolidation (Number) 92 0 Small Subpleural consolidation (2 or more) 92 0 0 No 67 1 Yes 25 (B-lines) B1 or B2 pattern 92 0 0 No 76 1 Yes 16 (B-lines) B2 pattern 92 0 0 No 90 1 Yes 2 Irregular pleural line 92 0 0 No 48 1 Yes 44 Pleural effusion (any) 92 0 0 No 87 1 Yes 5 Any cavity 92 0 0 No 86 1 Yes 6 Pericardial effusion 92 0 0 No 78 1 Yes 14 Hepahtic lesions 92 0 0 No 91 1 Yes 1 Periaortic Lymphadenopathy 92 0 0 No 91 1 Yes 1 Ascites 92 0 0 No 90 1 Yes 2 Any thoracic or FASH pathology 92 0 0 No 29 1 Yes 63 Any Thoracic pathology 92 0 0 No 34 1 Yes 58 Thoracic combo 1 92 0 0 No 47 1 Yes 45 Thoracic combo 2 92 0 0 No 50 1 Yes 42 Thoracic combo 3 92 0 0 No 54 1 Yes 38 FASH combo 1 92 0 0 No 77 1 Yes 15 Thoracic combo 1 or FASH combo 1 92 0 0 No 41 1 Yes 51 Any FASH pathology 92 0 0 No 76 1 Yes 16