Your browser doesn't support javascript.
Can we use temperature measurements to identify pre-symptomatic SARS-CoV-2 infection in nursing home residents?
Elhamamsy, Salaheldin; DeVone, Frank; Bayer, Thomas; Halladay, Chris; Cadieux, Marilyne; McConeghy, Kevin; Rajan, Ashna; Sachar, Moniyka; Mujahid, Nadia; Singh, Mriganka; Nanda, Aman; McNicoll, Lynn; Rudolph, James L; Gravenstein, Stefan.
  • Elhamamsy S; Division of Geriatrics and Palliative Medicine, Alpert Medical School of Brown University, Providence, Rhode Island, USA.
  • DeVone F; Long term Services and Support center of Innovation, Providence Veterans Administration Medical Center, Center on Innovation-Long Term Services and Supports, Providence, Rhode Island, USA.
  • Bayer T; Division of Geriatrics and Palliative Medicine, Alpert Medical School of Brown University, Providence, Rhode Island, USA.
  • Halladay C; Long term Services and Support center of Innovation, Providence Veterans Administration Medical Center, Center on Innovation-Long Term Services and Supports, Providence, Rhode Island, USA.
  • Cadieux M; Division of Geriatrics and Palliative Medicine, Alpert Medical School of Brown University, Providence, Rhode Island, USA.
  • McConeghy K; Long term Services and Support center of Innovation, Providence Veterans Administration Medical Center, Center on Innovation-Long Term Services and Supports, Providence, Rhode Island, USA.
  • Rajan A; Division of Geriatrics and Palliative Medicine, Alpert Medical School of Brown University, Providence, Rhode Island, USA.
  • Sachar M; Division of Geriatrics and Palliative Medicine, Alpert Medical School of Brown University, Providence, Rhode Island, USA.
  • Mujahid N; Medicine Department, NYU Grossman School of Medicine, New York, New York, USA.
  • Singh M; Division of Geriatrics and Palliative Medicine, Alpert Medical School of Brown University, Providence, Rhode Island, USA.
  • Nanda A; Division of Geriatrics and Palliative Medicine, Alpert Medical School of Brown University, Providence, Rhode Island, USA.
  • McNicoll L; Long term Services and Support center of Innovation, Providence Veterans Administration Medical Center, Center on Innovation-Long Term Services and Supports, Providence, Rhode Island, USA.
  • Rudolph JL; Division of Geriatrics and Palliative Medicine, Alpert Medical School of Brown University, Providence, Rhode Island, USA.
  • Gravenstein S; Division of Geriatrics and Palliative Medicine, Alpert Medical School of Brown University, Providence, Rhode Island, USA.
J Am Geriatr Soc ; 70(11): 3239-3244, 2022 11.
Article in English | MEDLINE | ID: covidwho-1968150
ABSTRACT

BACKGROUND:

COVID-19 has had a severe impact on morbidity and mortality among nursing home (NH) residents. Earlier detection of SARS-CoV-2 may position us to better mitigate the risk of spread. Both asymptomatic and pre-symptomatic transmission are common in outbreaks, and threshold temperatures, such as 38C, for screening for infection could miss timely detection in the majority of residents. We hypothesized that in long-term care residents, temperature trends with SARS-CoV-2 infection could identify infection in pre-symptomatic individuals earlier than standard screening.

METHODS:

We conducted a retrospective cohort study using electronic health records in 6176 residents of the VA NHs who underwent SARS-CoV-2 testing triggered by symptoms. We collected information about age and other demographics, baseline temperature, and specific comorbidities. We created standardized definitions, and a hypothetical model to test measures of temperature variation and compare outcomes to the VA standard of care.

RESULTS:

We showed that a change from baseline of 0.4C identified 47% of NH residents who became SARS-CoV-2 positive, earlier than standard testing by an average of 42.2 h. Temperature variability of 0.5C over 3 days when paired with a 37.2C temperature cutoff identified 55% of NH residents who became SARS-CoV-2 positive earlier than the standard of care testing by an average of 44.4 h. A change from baseline temperature of 0.4C when combined with temperature variability of 0.7C over 3 days identified 52% of NH residents who became SARS-CoV-2 positive, earlier than standard testing by an average of 40 h, and by more than 3 days in 22% of the residents. This earlier detection comes at the expense of triggering 57,793 tests, as compared to the number of trigger tests ordered in the VA system of 40,691.

CONCLUSIONS:

Our model suggests that early temperature trends with SARS-CoV-2 infection may identify infection in pre-symptomatic long-term care residents.
Subject(s)
Keywords

Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Cohort study / Diagnostic study / Observational study / Prognostic study Topics: Long Covid Limits: Humans Language: English Journal: J Am Geriatr Soc Year: 2022 Document Type: Article Affiliation country: Jgs.17972

Similar

MEDLINE

...
LILACS

LIS


Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Cohort study / Diagnostic study / Observational study / Prognostic study Topics: Long Covid Limits: Humans Language: English Journal: J Am Geriatr Soc Year: 2022 Document Type: Article Affiliation country: Jgs.17972