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

利用可穿戴近红外光谱技术测量慢性心力衰竭急性加重住院患者床旁活动期间的脑血流动力学

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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(2)Hb) and regional cerebral oxygen saturation (rSO(2)) 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(2) were lowest in the standing position in both measurements. However, compared with the second measurement, the first measurement showed greater variability in O(2)Hb and rSO(2) 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.

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