Cerebral Hemodynamics Measured by Wearable Near-Infrared Spectroscopy During Bedside Mobilization in a Patient With Chronic Heart Failure Hospitalized for Acute Exacerbation

This report aimed to investigate the relationship between cerebral hemodynamics and orthostatic hypotension (OH) in a patient with acute exacerbation of chronic heart failure (HF) by measuring oxyhemoglobin (O<sub>2</sub>Hb) and regional cerebral oxygen saturation (rSO<sub>2</sub>) using the wearable near-infrared spectroscopy (NIRS) device for risk management. A 61-year-old man was diagnosed with acute exacerbation of chronic HF. The patient was admitted to the hospital for the first time on day 0, and the first NIRS was performed on day 9. He was discharged on day 30 but was admitted for the second time on day 86, and the second NIRS was performed on day 100. Although HF symptoms, including weight gain, cardiomegaly, and pleural effusion, present at both admissions had improved at the time of NIRS measurements, there was a difference between the first and second admissions in diuresis, progression of diuresis-related weight loss, and OH symptoms. Specifically, weight loss progressed more rapidly during the first admission, with lower body weight at the time of the first NIRS measurement. Near-infrared spectroscopy assessments were conducted in the following sequence: supine, 30° head-up, sitting, standing, sitting, and supine again. During the first measurement, blood pressure decreased in the sitting and standing positions, heart rate increased only in the standing position, and the patient reported dizziness in both positions. At the second admission, blood pressure and heart rate fluctuated less, and there were no subjective symptoms. Oxyhemoglobin and rSO<sub>2</sub> were lowest in the standing position in both measurements. However, compared with the second measurement, the first measurement showed greater variability in O<sub>2</sub>Hb and rSO<sub>2</sub> and lower values in all positions except supine. These findings suggest that NIRS data may reflect changes in blood pressure, OH multiple variants, OH severity, and cerebral autoregulation. Additionally, they may be influenced by various factors, including differences in the progression of weight loss between the two hospitalizations. Therefore, this study demonstrates the potential of wearable NIRS technology to transform patient care by providing real-time, actionable insights into cerebral hemodynamics. However, further research is required to confirm the generalizability of these findings.

Authors

Institutions

Publication Details

Journal
Cureus
Published
2025-02-04
DOI
https://doi.org/10.7759/cureus.78489
Primary Topic
Non-Invasive Vital Sign Monitoring
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Cerebral Hemodynamics Measured by Wearable Near-Infrared Spectroscopy During Bedside Mobilization in a Patient With Chronic Heart Failure Hospitalized for Acute Exacerbation

Naoyuki Hashimoto, Masafumi Kubota, Atsuhiro Tsubaki, Yu Takada
Cureus
Non-Invasive Vital Sign Monitoring
article

Cerebral Hemodynamics Measured by Wearable Near-Infrared Spectroscopy During Bedside Mobilization in a Patient With Chronic Heart Failure Hospitalized for Acute Exacerbation

Naoyuki Hashimoto, Masafumi Kubota, Atsuhiro Tsubaki, Yu Takada
article en

Abstract

This report aimed to investigate the relationship between cerebral hemodynamics and orthostatic hypotension (OH) in a patient with acute exacerbation of chronic heart failure (HF) by measuring oxyhemoglobin (O<sub>2</sub>Hb) and regional cerebral oxygen saturation (rSO<sub>2</sub>) using the wearable near-infrared spectroscopy (NIRS) device for risk management. A 61-year-old man was diagnosed with acute exacerbation of chronic HF. The patient was admitted to the hospital for the first time on day 0, and the first NIRS was performed on day 9. He was discharged on day 30 but was admitted for the second time on day 86, and the second NIRS was performed on day 100. Although HF symptoms, including weight gain, cardiomegaly, and pleural effusion, present at both admissions had improved at the time of NIRS measurements, there was a difference between the first and second admissions in diuresis, progression of diuresis-related weight loss, and OH symptoms. Specifically, weight loss progressed more rapidly during the first admission, with lower body weight at the time of the first NIRS measurement. Near-infrared spectroscopy assessments were conducted in the following sequence: supine, 30° head-up, sitting, standing, sitting, and supine again. During the first measurement, blood pressure decreased in the sitting and standing positions, heart rate increased only in the standing position, and the patient reported dizziness in both positions. At the second admission, blood pressure and heart rate fluctuated less, and there were no subjective symptoms. Oxyhemoglobin and rSO<sub>2</sub> were lowest in the standing position in both measurements. However, compared with the second measurement, the first measurement showed greater variability in O<sub>2</sub>Hb and rSO<sub>2</sub> and lower values in all positions except supine. These findings suggest that NIRS data may reflect changes in blood pressure, OH multiple variants, OH severity, and cerebral autoregulation. Additionally, they may be influenced by various factors, including differences in the progression of weight loss between the two hospitalizations. Therefore, this study demonstrates the potential of wearable NIRS technology to transform patient care by providing real-time, actionable insights into cerebral hemodynamics. However, further research is required to confirm the generalizability of these findings.

CureusVol. 17(2)
Kanazawa University (JP), Kanazawa University Hospital (JP), Niigata University of Health and Welfare (JP)
Good health and well-being
Openalex Percentile: Top 98%
Non-Invasive Vital Sign Monitoring
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.