Metrics from Wearable Devices as Candidate Predictors of Antibody Response Following Vaccination against COVID-19: Data from the Second TemPredict Study

Mason, Ashley E.; Kasl, Patrick; Hartogensis, Wendy; Natale, Joseph L.; Dilchert, Stephan; Dasgupta, Subhasis; Purawat, Shweta; Chowdhary, Anoushka; Anglo, Claudine; Veasna, Danou; Pandya, Leena S.; Fox, Lindsey M.; Puldon, Karena Y.; Prather, Jenifer G.; Gupta, Amarnath; Altintas, Ilkay; Smarr, Benjamin L.; Hecht, Frederick M.

doi:10.3390/vaccines10020264

Open AccessArticle

Metrics from Wearable Devices as Candidate Predictors of Antibody Response Following Vaccination against COVID-19: Data from the Second TemPredict Study

by

Ashley E. Mason

^1,*,†

,

Patrick Kasl

^2,†

,

Wendy Hartogensis

¹,

Joseph L. Natale

²,

Stephan Dilchert

³

,

Subhasis Dasgupta

⁴,

Shweta Purawat

⁴,

Anoushka Chowdhary

¹,

Claudine Anglo

¹,

Danou Veasna

¹,

Leena S. Pandya

¹,

Lindsey M. Fox

¹,

Karena Y. Puldon

¹,

Jenifer G. Prather

¹,

Amarnath Gupta

^2,4

,

Ilkay Altintas

^2,4,

Benjamin L. Smarr

^2,† and

Frederick M. Hecht

^1,†

¹

Osher Center for Integrative Health, University of California San Francisco, San Francisco, CA 94115, USA

²

Halıcıoğlu Data Science Institute, University of California San Diego, San Diego, CA 92093, USA

³

Department of Management, Zicklin School of Business, Baruch College, The City University of New York, New York, NY 10010, USA

⁴

San Diego Supercomputer Center, University of California San Diego, San Diego, CA 92093, USA

^*

Author to whom correspondence should be addressed.

^†

These authors contributed equally to this work.

Vaccines 2022, 10(2), 264; https://doi.org/10.3390/vaccines10020264

Submission received: 24 December 2021 / Revised: 27 January 2022 / Accepted: 3 February 2022 / Published: 9 February 2022

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Abstract

There is significant variability in neutralizing antibody responses (which correlate with immune protection) after COVID-19 vaccination, but only limited information is available about predictors of these responses. We investigated whether device-generated summaries of physiological metrics collected by a wearable device correlated with post-vaccination levels of antibodies to the SARS-CoV-2 receptor-binding domain (RBD), the target of neutralizing antibodies generated by existing COVID-19 vaccines. One thousand, one hundred and seventy-nine participants wore an off-the-shelf wearable device (Oura Ring), reported dates of COVID-19 vaccinations, and completed testing for antibodies to the SARS-CoV-2 RBD during the U.S. COVID-19 vaccination rollout. We found that on the night immediately following the second mRNA injection (Moderna-NIAID and Pfizer-BioNTech) increases in dermal temperature deviation and resting heart rate, and decreases in heart rate variability (a measure of sympathetic nervous system activation) and deep sleep were each statistically significantly correlated with greater RBD antibody responses. These associations were stronger in models using metrics adjusted for the pre-vaccination baseline period. Greater temperature deviation emerged as the strongest independent predictor of greater RBD antibody responses in multivariable models. In contrast to data on certain other vaccines, we did not find clear associations between increased sleep surrounding vaccination and antibody responses.

Keywords: COVID-19; antibody responses; mRNA vaccines; wearable devices; skin temperature; heart rate; heart rate variability; sleep

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MDPI and ACS Style

Mason, A.E.; Kasl, P.; Hartogensis, W.; Natale, J.L.; Dilchert, S.; Dasgupta, S.; Purawat, S.; Chowdhary, A.; Anglo, C.; Veasna, D.; et al. Metrics from Wearable Devices as Candidate Predictors of Antibody Response Following Vaccination against COVID-19: Data from the Second TemPredict Study. Vaccines 2022, 10, 264. https://doi.org/10.3390/vaccines10020264

AMA Style

Mason AE, Kasl P, Hartogensis W, Natale JL, Dilchert S, Dasgupta S, Purawat S, Chowdhary A, Anglo C, Veasna D, et al. Metrics from Wearable Devices as Candidate Predictors of Antibody Response Following Vaccination against COVID-19: Data from the Second TemPredict Study. Vaccines. 2022; 10(2):264. https://doi.org/10.3390/vaccines10020264

Chicago/Turabian Style

Mason, Ashley E., Patrick Kasl, Wendy Hartogensis, Joseph L. Natale, Stephan Dilchert, Subhasis Dasgupta, Shweta Purawat, Anoushka Chowdhary, Claudine Anglo, Danou Veasna, and et al. 2022. "Metrics from Wearable Devices as Candidate Predictors of Antibody Response Following Vaccination against COVID-19: Data from the Second TemPredict Study" Vaccines 10, no. 2: 264. https://doi.org/10.3390/vaccines10020264

APA Style

Mason, A. E., Kasl, P., Hartogensis, W., Natale, J. L., Dilchert, S., Dasgupta, S., Purawat, S., Chowdhary, A., Anglo, C., Veasna, D., Pandya, L. S., Fox, L. M., Puldon, K. Y., Prather, J. G., Gupta, A., Altintas, I., Smarr, B. L., & Hecht, F. M. (2022). Metrics from Wearable Devices as Candidate Predictors of Antibody Response Following Vaccination against COVID-19: Data from the Second TemPredict Study. Vaccines, 10(2), 264. https://doi.org/10.3390/vaccines10020264

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Metrics from Wearable Devices as Candidate Predictors of Antibody Response Following Vaccination against COVID-19: Data from the Second TemPredict Study

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