University of Warwick Sniffing out Tuberculosis Dr J.A. Covington - - PowerPoint PPT Presentation

▶
university of warwick
SMART_READER_LITE
LIVE PREVIEW

University of Warwick Sniffing out Tuberculosis Dr J.A. Covington - - PowerPoint PPT Presentation

May 16, 2023 331 likes •477 views

University of Warwick Sniffing out Tuberculosis Dr J.A. Covington Biomedical Sensors Lab School of Engineering A life in smell H 2 Flow Sensor Filter Detector Motivation Point of care Rapid Patient acceptable

slide-1
SLIDE 1

University of Warwick

Sniffing out Tuberculosis

Dr J.A. Covington Biomedical Sensors Lab School of Engineering

slide-2
SLIDE 2

A life in smell…

H2 Filter Flow Sensor

Detector

slide-3
SLIDE 3

Motivation…

  • Point of care
  • Rapid
  • Patient acceptable
  • Low-cost
  • Simple
  • Hospitals/Home
  • Developing countries
slide-4
SLIDE 4
slide-5
SLIDE 5

Warwick/University Hospital Coventry & Warwickshire

  • Diseases investigated…

– Bile acid malabsorption – Bladder/prostate Cancer – Coeliac's disease – Clostridium difficile – Colorectal Cancer – Crohns disease/Ulcerative colitis – Diabetes – Hepatic encephalopathy – Irritable bowel syndrome – Liver disease – Obesity – Pelvic radiation – Pre-term labour

Brain Cancer/Schizophrenia Liver disease Wound infections Lung diseases Metabolic diseases Eye infections Ear/Nose/Throat Bacterial infections i.e. MRSA & C-Diff

Application of ‘Smell Technology’

Gastrointestinal diseases

slide-6
SLIDE 6

TB Breath “sniffers”

  • Testing of breath for TB

targeted for decades

  • Show promise…

– Most high-end analytical instruments (GCMS etc.) – Others based on electronic nose

  • However, limited by the core

sensor technology or by carrier gas

  • Hence, each system needs to

be individually configured and will drift significantly over time

slide-7
SLIDE 7

Ion Mobility Spectrometry - FAIMS

  • Used in chemical warfare detection
  • Applications for military or home security
slide-8
SLIDE 8

Subject groups

  • 26 patients with confirmed TB

– 7 smokers, 9 drinkers, Av. Age 46 (21-85)

  • 19 negative controls (from suspected patients

and TB positive family members)

– 4 smokers, 11 drinkers, Av. Age 39 (24-63)

  • Smear, Cx, T-spot etc. confirmation
  • Patients were asked not to eat/drink/smoke for 2

hours before collection

slide-9
SLIDE 9

Sample Collection

  • All samples collected and tested at UHCW over 5 months
  • In-house breath capture system employing 3L tedlar bags
  • Breath samples tested on day of capture (stored in fridge)
  • Urine samples stored at -80oC for batch sampling

9

slide-10
SLIDE 10

Breath Results – Multivariate Analysis

slide-11
SLIDE 11

ROC - Breath

  • Random Forrest

Classifier

  • 10 fold cross-

validation

  • AUC = 0.96 (95% CI:

0.93,1)

  • Sensitivity: 93%
  • Specificity: 94%
slide-12
SLIDE 12

Conclusions & Further work

  • Initial breath results show promise…However

– Sample collection & post testing challenging – Difficulty in sample introduction – Current technology now superseded – Requires validation with larger cohort – Investigation of ethnicity, diet etc. – Exploring commercial partnerships

  • Second development phase

– But too expensive… – Creation of low-cost, small, portable instruments – Dedicated to harsh environments – WOLF research programme…

slide-13
SLIDE 13

And thank you to…

  • Dr E. Adams – LSTM
  • Prof S. Ward – LSTM
  • Dr A. Sahota - UHCW
  • Dr R. Gowda – UHCW
  • Dr R. Arasaradnam – UHCW
  • Dr N. Sagar - UHCW
  • Ms S. Wurie - UHCW
  • And my PhD students…
slide-14
SLIDE 14