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Studying the Effect of Long COVID-19 Infection on Sleep Quality Using Wearable Health Devices: Observational Study.
Mekhael, Mario; Lim, Chan Ho; El Hajjar, Abdel Hadi; Noujaim, Charbel; Pottle, Christopher; Makan, Noor; Dagher, Lilas; Zhang, Yichi; Chouman, Nour; Li, Dan L; Ayoub, Tarek; Marrouche, Nassir.
  • Mekhael M; Tulane University School of Medicine, New Orleans, LA, United States.
  • Lim CH; Tulane University School of Medicine, New Orleans, LA, United States.
  • El Hajjar AH; Tulane University School of Medicine, New Orleans, LA, United States.
  • Noujaim C; Tulane University School of Medicine, New Orleans, LA, United States.
  • Pottle C; Tulane University School of Medicine, New Orleans, LA, United States.
  • Makan N; Tulane University School of Medicine, New Orleans, LA, United States.
  • Dagher L; Department of Medicine, Emory University School of Medicine, Atlanta, GA, United States.
  • Zhang Y; Tulane University School of Medicine, New Orleans, LA, United States.
  • Chouman N; Tulane University School of Medicine, New Orleans, LA, United States.
  • Li DL; Tulane University School of Medicine, New Orleans, LA, United States.
  • Ayoub T; Tulane University School of Medicine, New Orleans, LA, United States.
  • Marrouche N; Tulane University School of Medicine, New Orleans, LA, United States.
J Med Internet Res ; 24(7): e38000, 2022 07 05.
Article in English | MEDLINE | ID: covidwho-1963264
ABSTRACT

BACKGROUND:

Patients with COVID-19 have increased sleep disturbances and decreased sleep quality during and after the infection. The current published literature focuses mainly on qualitative analyses based on surveys and subjective measurements rather than quantitative data.

OBJECTIVE:

In this paper, we assessed the long-term effects of COVID-19 through sleep patterns from continuous signals collected via wearable wristbands.

METHODS:

Patients with a history of COVID-19 were compared to a control arm of individuals who never had COVID-19. Baseline demographics were collected for each subject. Linear correlations among the mean duration of each sleep phase and the mean daily biometrics were performed. The average duration for each subject's total sleep time and sleep phases per night was calculated and compared between the 2 groups.

RESULTS:

This study includes 122 patients with COVID-19 and 588 controls (N=710). Total sleep time was positively correlated with respiratory rate (RR) and oxygen saturation (SpO2). Increased awake sleep phase was correlated with increased heart rate, decreased RR, heart rate variability (HRV), and SpO2. Increased light sleep time was correlated with increased RR and SpO2 in the group with COVID-19. Deep sleep duration was correlated with decreased heart rate as well as increased RR and SpO2. When comparing different sleep phases, patients with long COVID-19 had decreased light sleep (244, SD 67 vs 258, SD 67; P=.003) and decreased deep sleep time (123, SD 66 vs 128, SD 58; P=.02).

CONCLUSIONS:

Regardless of the demographic background and symptom levels, patients with a history of COVID-19 infection demonstrated altered sleep architecture when compared to matched controls. The sleep of patients with COVID-19 was characterized by decreased total sleep and deep sleep.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Wearable Electronic Devices / COVID-19 Type of study: Experimental Studies / Observational study / Prognostic study / Qualitative research / Randomized controlled trials Topics: Long Covid Limits: Humans Language: English Journal: J Med Internet Res Journal subject: Medical Informatics Year: 2022 Document Type: Article Affiliation country: 38000

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Wearable Electronic Devices / COVID-19 Type of study: Experimental Studies / Observational study / Prognostic study / Qualitative research / Randomized controlled trials Topics: Long Covid Limits: Humans Language: English Journal: J Med Internet Res Journal subject: Medical Informatics Year: 2022 Document Type: Article Affiliation country: 38000