Predicting Airborne Infection Risk: Association Between Personal Ambient Carbon Dioxide Level Monitoring and Incidence of Tuberculosis Infection in South African Health Workers

Ruvandhi R Nathavitharana, Hridesh Mishra, Amanda Sullivan, Shelley Hurwitz, Philip Lederer, Jack Meintjes, Edward Nardell, Grant Theron, Ruvandhi R Nathavitharana, Hridesh Mishra, Amanda Sullivan, Shelley Hurwitz, Philip Lederer, Jack Meintjes, Edward Nardell, Grant Theron

Abstract

Background: High rates of tuberculosis (TB) transmission occur in hospitals in high-incidence countries, yet there is no validated way to evaluate the impact of hospital design and function on airborne infection risk. We hypothesized that personal ambient carbon dioxide (CO2) monitoring could serve as a surrogate measure of rebreathed air exposure associated with TB infection risk in health workers (HWs).

Methods: We analyzed baseline and repeat (12-month) interferon-γ release assay (IGRA) results in 138 HWs in Cape Town, South Africa. A random subset of HWs with a baseline negative QuantiFERON Plus (QFT-Plus) underwent personal ambient CO2 monitoring.

Results: Annual incidence of TB infection (IGRA conversion) was high (34%). Junior doctors were less likely to have a positive baseline IGRA than other HWs (OR, 0.26; P = .005) but had similar IGRA conversion risk. IGRA converters experienced higher median CO2 levels compared to IGRA nonconverters using quantitative QFT-Plus thresholds of ≥0.35 IU/mL (P < .02) or ≥1 IU/mL (P < .01). Median CO2 levels were predictive of IGRA conversion (odds ratio [OR], 2.04; P = .04, ≥1 IU/mL threshold). Ordinal logistic regression demonstrated that the odds of a higher repeat quantitative IGRA result increased by almost 2-fold (OR, 1.81; P = .01) per 100 ppm unit increase in median CO2 levels, suggesting a dose-dependent response.

Conclusions: HWs face high occupational TB risk. Increasing median CO2 levels (indicative of poor ventilation and/or high occupancy) were associated with higher likelihood of HW TB infection. Personal ambient CO2 monitoring may help target interventions to decrease TB transmission in healthcare facilities and help HWs self-monitor occupational risk, with implications for other airborne infections including coronavirus disease 2019.

Keywords: IGRA; carbon dioxide monitoring; health workers; tuberculosis; tuberculosis infection control (TB-IC).

Conflict of interest statement

Potential conflicts of interest. R. R. N. and G. T. report collaboration on an NIH U01 grant evaluating TB diagnostics, outside the scope of this work, and R. R. N. is chair of the board for TB Proof, a TB advocacy organization based in South Africa. All other authors report no other conflicts of interest. All authors have submitted the ICMJE Form for Disclosure of Potential Conflicts of Interest. Conflicts that the editors consider relevant to the content of the manuscript have been disclosed.

© The Author(s) 2022. Published by Oxford University Press for the Infectious Diseases Society of America. All rights reserved. For permissions, e-mail: journals.permissions@oup.com.

Figures

Figure 1.
Figure 1.
Study flow diagram. Abbreviations: CO2, carbon dioxide; QFT, QuantiFERON-Plus; TB, tuberculosis.
Figure 2.
Figure 2.
Comparison of quantitative baseline and repeat QuantiFERON-Plus TB1-nil and TB2-nil values. A and B, Results for all participants. C and D, Results for all interferon-γ release assay (IGRA) converters demonstrating significant differences in both TB1-nil and TB2-nil values. E and F, Results for all IGRA reverters.
Figure 3.
Figure 3.
Logistic regression probability plots. Probability of interferon-γ release assay (IGRA) conversion using median health worker (HW) carbon dioxide (CO2) levels comparing IGRA nonconverters to IGRA converters (A), IGRA nonconverters to IGRA converters whose TB1-nil or TB2-nil quantitative values are ≥0.7 IU/mL (B), and IGRA nonconverters to IGRA converters whose TB1-nil and TB2-nil quantitative values are ≥1 IU/mL (C).
Figure 4.
Figure 4.
Box plot illustrating median carbon dioxide (CO2) levels summarized according to interferon-γ release assay conversion group, based on repeat quantitative IGRA values. Line connects conversion level group medians; diamonds are group means. Negative: both TB1-nil and TB2-nil <0.35 IU/mL. Positive: both TB1-nil and TB2-nil ≥0.35 to 0.7 IU/mL; either TB1-nil or TB2-nil ≥0.7 IU/mL to 1 IU/mL; or both TB1-nil and TB2-nil ≥1.0 IU/mL.

References

    1. World Health Organization. Global tuberculosis control. WHO report 2019. Geneva, Switzerland: WHO,2019.
    1. Gandhi NR, Weissman D, Moodley P, et al. . Nosocomial transmission of extensively drug-resistant tuberculosis in a rural hospital in South Africa. J Infect Dis 2013; 207:9–17.
    1. Shah NS, Auld SC, Brust JC, et al. . Transmission of extensively drug-resistant tuberculosis in South Africa. N Engl J Med 2017; 376:243–53.
    1. Barrera E, Livchits V, Nardell E.. F-A-S-T: a refocused, intensified, administrative tuberculosis transmission control strategy. Int J Tuberc Lung Dis 2015; 19:381–4.
    1. Nardell E, Dharmadhikari A.. Turning off the spigot: reducing drug-resistant tuberculosis transmission in resource-limited settings. Int J Tuberc Lung Dis 2010; 14:1233–43.
    1. Cohen T, Murray M, Wallengren K, Alvarez GG, Samuel EY, Wilson D.. The prevalence and drug sensitivity of tuberculosis among patients dying in hospital in KwaZulu-Natal, South Africa: a postmortem study. PLoS Med 2010; 7:e1000296.
    1. World Health Organization. Guidelines on tuberculosis infection prevention and control, Geneva, Switzerland: WHO, 2019.
    1. Tan C, Kallon, II, Colvin CJ, Grant AD.. Barriers and facilitators of tuberculosis infection prevention and control in low- and middle-income countries from the perspective of healthcare workers: a systematic review. PLoS One 2020; 15:e0241039.
    1. Kantor HS, Poblete R, Pusateri SL.. Nosocomial transmission of tuberculosis from unsuspected disease. Am J Med 1988; 84:833–8.
    1. Grobler L, Mehtar S, Dheda K, et al. . The epidemiology of tuberculosis in health care workers in South Africa: a systematic review. BMC Health Serv Res 2016; 16:416.
    1. Joshi R, Reingold AL, Menzies D, Pai M.. Tuberculosis among health-care workers in low- and middle-income countries: a systematic review. PLoS Med 2006; 3:e494.
    1. O’Donnell MR, Jarand J, Loveday M, et al. . High incidence of hospital admissions with multidrug-resistant and extensively drug-resistant tuberculosis among South African health care workers. Ann Intern Med 2010; 153:516–22.
    1. Baussano I, Nunn P, Williams B, Pivetta E, Bugiani M, Scano F.. Tuberculosis among health care workers. Emerg Infect Dis 2011; 17:488–94.
    1. Adams S, Ehrlich R, Baatjies R, et al. . Incidence of occupational latent tuberculosis infection in South African healthcare workers. Eur Respir J 2015; 45:1364–73.
    1. von Delft A, Dramowski A, Khosa C, et al. . Why healthcare workers are sick of TB. Int J Infect Dis 2015; 32:147–51.
    1. Beggs CB, Noakes CJ, Sleigh PA, Fletcher LA, Siddiqi K.. The transmission of tuberculosis in confined spaces: an analytical review of alternative epidemiological models. Int J Tuberc Lung Dis 2003; 7:1015–26.
    1. Menzies D, Fanning A, Yuan L, FitzGerald JM; Canadian Collaborative Group in Nosocomial Transmission of Tuberculosis. . Factors associated with tuberculin conversion in Canadian microbiology and pathology workers. Am J Respir Crit Care Med 2003; 167:599–602.
    1. Richardson ET, Morrow CD, Kalil DB, Ginsberg S, Bekker LG, Wood R.. Shared air: a renewed focus on ventilation for the prevention of tuberculosis transmission. PLoS One 2014; 9:e96334.
    1. Andrews JR, Morrow C, Wood R.. Modeling the role of public transportation in sustaining tuberculosis transmission in South Africa. Am J Epidemiol 2013; 177:556–61.
    1. Escombe AR, Oeser CC, Gilman RH, et al. . Natural ventilation for the prevention of airborne contagion. PLoS Med 2007; 4:e68.
    1. Rudnick SN, Milton DK.. Risk of indoor airborne infection transmission ­estimated from carbon dioxide concentration. Indoor Air 2003; 13:237–45.
    1. Pai M, Joshi R, Dogra S, et al. . T-cell assay conversions and reversions among household contacts of tuberculosis patients in rural India. Int J Tuberc Lung Dis 2009; 13:84–92.
    1. Andrews JR, Hatherill M, Mahomed H, et al. . The dynamics of QuantiFERON-TB gold in-tube conversion and reversion in a cohort of South African adolescents. Am J Respir Crit Care Med 2015; 191:584–91.
    1. Andrews JR, Nemes E, Tameris M, et al. . Serial QuantiFERON testing and tuberculosis disease risk among young children: an observational cohort study. Lancet Respir Med 2017; 5:282–90.
    1. Winje BA, White R, Syre H, et al. . Stratification by interferon-γ release assay level predicts risk of incident TB. Thorax 2018; 73:652–61.
    1. CO2Meter. . Accessed 11 February 2022.
    1. Fennelly KP, Jones-Lopez EC.. Quantity and quality of inhaled dose predicts immunopathology in tuberculosis. Front Immunol 2015; 6:313.
    1. Adu PA, Yassi A, Ehrlich R, Spiegel JM.. Perceived health system barriers to tuberculosis control among health workers in South Africa. Ann Glob Health 2020; 86:15.
    1. Ehrlich RWN, Yassi A.. Tuberculosis in health workers as an occupational disease. Anthropol Southern Africa 2018; 41:309–22.

Source: PubMed

3
Subscribe