Heart rate variability and adrenal size provide clues to sudden cardiac death in hospitalized COVID-19 patients

Ranard, Benjamin L.; Megjhani, Murad; Terilli, Kalijah; Yarmohammadi, Hirad; Ausiello, John; Park, Soo‐Jin

doi:10.1016/j.jcrc.2022.154114

Cited by 5 publications

(24 citation statements)

References 9 publications

(11 reference statements)

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“…The inter-rater agreement rate among the researchers in the full texts review was 97.67% (42/43). Therefore, 17 observational studies (total participants, N = 3628) [49][50][51][52][53][54][55][56][57][58][59][60][61][62][63][64][65], including a study from other sources [61], were included in this review (Figure 1).…”

Section: Study Selectionmentioning

confidence: 99%

“…Of the seventeen included studies, three [49,56,57] were conference abstracts, and fourteen [50][51][52][53][54][55][58][59][60][61][62][63][64][65] were journal articles. Nine studies (52.94%) were conducted in the United States [52][53][54][56][57][58]62,63,65], two (11.76%) were conducted in Turkey [49,61], and the remaining studies were conducted in China [60], India [55], Italy [51], Serbia [59], Spain [50] and Switzerland [64]. A total of four study types were analyzed, including four case-control studies [49,55,59,65], six retrospective analyses [54,[56][57][58]61,63], three crosssectional studies [51,52,60], and fo...…”

Section: Characteristics Of Included Studiesmentioning

confidence: 99%

Section: Characteristics Of Included Studiesmentioning

confidence: 99%

“…Nine studies (52.94%) were conducted in the United States [52][53][54][56][57][58]62,63,65], two (11.76%) were conducted in Turkey [49,61], and the remaining studies were conducted in China [60], India [55], Italy [51], Serbia [59], Spain [50] and Switzerland [64]. A total of four study types were analyzed, including four case-control studies [49,55,59,65], six retrospective analyses [54,[56][57][58]61,63], three cross-sectional studies [51,52,60], and four prospective cohort studies [50,53,62,64]. Eleven studies [49,[51][52][53]55,[57][58][59]61,62,65] included SARS-CoV-2 negative individuals or healthy controls as the control group.…”

Section: Characteristics Of Included Studiesmentioning

confidence: 99%

“…Eleven studies [49,[51][52][53]55,[57][58][59]61,62,65] included SARS-CoV-2 negative individuals or healthy controls as the control group. Eight studies included COVID-19 patients with different clinical manifestations (e.g., symptomatic or asymptomatic) [49,55,57], severity (e.g., mild or severe) [59,60], and clinical outcomes (e.g., mortality) [50,56,63] as a control group. Two studies included a self-control group, where Junarta et al [54] compared pre-COVID-19 and post-COVID-19-related hospitalization in patients with chronic atrial fibrillation (cAF), and Risch et al [64] compared changes in HRV parameters according to each stage in COVID-19 patients, including baseline, incubation, presymptomatic, symptomatic, and recovery stages.…”

Section: Characteristics Of Included Studiesmentioning

confidence: 99%

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The Impact of SARS-CoV-2 Infection on Heart Rate Variability: A Systematic Review of Observational Studies with Control Groups

Kwon

2023

IJERPH

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Autonomic nervous system (ANS) dysfunction can arise after severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection and heart rate variability (HRV) tests can assess its integrity. This review investigated the relationship between the impact of SARS-CoV-2 infection on HRV parameters. Comprehensive searches were conducted in four electronic databases. Observational studies with a control group reporting the direct impact of SARS-CoV-2 infection on the HRV parameters in July 2022 were included. A total of 17 observational studies were included in this review. The square root of the mean squared differences of successive NN intervals (RMSSD) was the most frequently investigated. Some studies found that decreases in RMSSD and high frequency (HF) power were associated with SARS-CoV-2 infection or the poor prognosis of COVID-19. Also, decreases in RMSSD and increases in the normalized unit of HF power were related to death in critically ill COVID-19 patients. The findings showed that SARS-CoV-2 infection, and the severity and prognosis of COVID-19, are likely to be reflected in some HRV-related parameters. However, the considerable heterogeneity of the included studies was highlighted. The methodological quality of the included observational studies was not optimal. The findings suggest rigorous and accurate measurements of HRV parameters are highly needed on this topic.

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Section: Study Selectionmentioning

confidence: 99%

Section: Characteristics Of Included Studiesmentioning

confidence: 99%

Section: Characteristics Of Included Studiesmentioning

confidence: 99%

Section: Characteristics Of Included Studiesmentioning

confidence: 99%

Section: Characteristics Of Included Studiesmentioning

confidence: 99%

See 3 more Smart Citations

The Impact of SARS-CoV-2 Infection on Heart Rate Variability: A Systematic Review of Observational Studies with Control Groups

Kwon

2023

IJERPH

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Intracellular organelles remodeling in myocardial endotheliocytes in COVID-19: an autopsy-based study

Bgatova,

Savchenko,

Lamanov

et al. 2023

Ultrastructural Pathology

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Wearable Devices to Diagnose and Monitor the Progression of COVID-19 Through Heart Rate Variability Measurement: Systematic Review and Meta-Analysis

Sanches,

Silva,

Librantz

et al. 2023

J Med Internet Res

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Background Recent studies have linked low heart rate variability (HRV) with COVID-19, indicating that this parameter can be a marker of the onset of the disease and its severity and a predictor of mortality in infected people. Given the large number of wearable devices that capture physiological signals of the human body easily and noninvasively, several studies have used this equipment to measure the HRV of individuals and related these measures to COVID-19. Objective The objective of this study was to assess the utility of HRV measurements obtained from wearable devices as predictive indicators of COVID-19, as well as the onset and worsening of symptoms in affected individuals. Methods A systematic review was conducted searching the following databases up to the end of January 2023: Embase, PubMed, Web of Science, Scopus, and IEEE Xplore. Studies had to include (1) measures of HRV in patients with COVID-19 and (2) measurements involving the use of wearable devices. We also conducted a meta-analysis of these measures to reduce possible biases and increase the statistical power of the primary research. Results The main finding was the association between low HRV and the onset and worsening of COVID-19 symptoms. In some cases, it was possible to predict the onset of COVID-19 before a positive clinical test. The meta-analysis of studies reported that a reduction in HRV parameters is associated with COVID-19. Individuals with COVID-19 presented a reduction in the SD of the normal-to-normal interbeat intervals and root mean square of the successive differences compared with healthy individuals. The decrease in the SD of the normal-to-normal interbeat intervals was 3.25 ms (95% CI −5.34 to −1.16 ms), and the decrease in the root mean square of the successive differences was 1.24 ms (95% CI −3.71 to 1.23 ms). Conclusions Wearable devices that measure changes in HRV, such as smartwatches, rings, and bracelets, provide information that allows for the identification of COVID-19 during the presymptomatic period as well as its worsening through an indirect and noninvasive self-diagnosis.

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Heart rate variability and adrenal size provide clues to sudden cardiac death in hospitalized COVID-19 patients

Cited by 5 publications

References 9 publications

The Impact of SARS-CoV-2 Infection on Heart Rate Variability: A Systematic Review of Observational Studies with Control Groups

The Impact of SARS-CoV-2 Infection on Heart Rate Variability: A Systematic Review of Observational Studies with Control Groups

Intracellular organelles remodeling in myocardial endotheliocytes in COVID-19: an autopsy-based study

Wearable Devices to Diagnose and Monitor the Progression of COVID-19 Through Heart Rate Variability Measurement: Systematic Review and Meta-Analysis

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