Pulse oximetry beyond oxygen saturation: Early waveform characteristics in sepsis patients with adverse outcomes - A proof-of-concept study

Pulse Waveform Changes During Vasopressor Therapy Assessed Using Remote Photoplethysmography: A Case Series

“…Similarly, the reduction in diastolic wave amplitude across all cases indicates changes in vascular tone and peripheral runoff rather than changes in cardiac filling [21,22]. This finding is consistent with previous work by Ter Horst et al (2025) [24], who showed that sepsis progression is associated with altered PPG waveform morphology, including reduced amplitude components. Our observations demonstrate that rPPG-derived waveform features may remain sensitive even when traditional macrocirculatory parameters appear stable, underscoring the potential of rPPG for early detection of microvascular alterations or excessive vasoconstriction.…”

Pulse Waveform Changes During Vasopressor Therapy Assessed Using Remote Photoplethysmography: A Case Series

“…Similarly, the reduction in diastolic wave amplitude across all cases indicates changes in vascular tone and peripheral runoff rather than changes in cardiac filling [21,22]. This finding is consistent with previous work by Ter Horst et al (2025) [24], who showed that sepsis progression is associated with altered PPG waveform morphology, including reduced amplitude components. Our observations demonstrate that rPPG-derived waveform features may remain sensitive even when traditional macrocirculatory parameters appear stable, underscoring the potential of rPPG for early detection of microvascular alterations or excessive vasoconstriction.…”

ECG spectrogram-based deep learning model to predict deterioration of patients with early sepsis at the emergency department: a study from the Acutelines data- and biobank

“…These studies olen used 10 to 60 seconds of ECG recordings, while our study used 20 minutes, which allows for capturing slower processes and deteriorabng trends. When comparing the spectrogram-based method to other methods to predict deteriorabon in pabents with early sepsis, such as NEWS, qSOFA, and HRV, this study presented models with AUCs in the same range as presented here (0.65-0.89) [17,[31][32][33].…”

FLUid management and InDividualized resuscitation in Sepsis (FLUIDS)—A Study protocol for a single-centre, open-label, randomized clinical trial

“…Exploratory mechanistic endpoints focus on understanding the underlying physiological processes and are intended to generate hypotheses for future research. These include (derived) hemodynamic parameters from the starling device (such as cardiac output, total peripheral resistance), lactate, measured within the first three hours after ED arrival, as well as photoplethysmography (PPG) and electrocardiography (ECG) waveform characteristics, which may offer insights into changes in cardiovascular function during the ED stay [ 51 – 53 ]. In addition, a set of blood samples will be collected and stored via the Acutelines data biobank infrastructure to enable future exploratory analyses of biomarkers associated with fluid responsiveness, venous congestion, and hemodynamic endotypes [ 27 ].…”

Pulse Waveform Changes During Vasopressor Therapy Assessed Using Remote Photoplethysmography: A Case Series

“…Similarly, the reduction in diastolic wave amplitude across all cases indicates changes in vascular tone and peripheral runoff rather than changes in cardiac filling [21,22]. This finding is consistent with previous work by Ter Horst et al (2025) [24], who showed that sepsis progression is associated with altered PPG waveform morphology, including reduced amplitude components. Our observations demonstrate that rPPG-derived waveform features may remain sensitive even when traditional macrocirculatory parameters appear stable, underscoring the potential of rPPG for early detection of microvascular alterations or excessive vasoconstriction.…”

ECG spectrogram-based deep learning model to predict deterioration of patients with early sepsis at the emergency department: a study from the Acutelines data- and biobank

“…These studies olen used 10 to 60 seconds of ECG recordings, while our study used 20 minutes, which allows for capturing slower processes and deteriorabng trends. When comparing the spectrogram-based method to other methods to predict deteriorabon in pabents with early sepsis, such as NEWS, qSOFA, and HRV, this study presented models with AUCs in the same range as presented here (0.65-0.89) [17,[31][32][33].…”

FLUid management and InDividualized resuscitation in Sepsis (FLUIDS)—A Study protocol for a single-centre, open-label, randomized clinical trial

“…Exploratory mechanistic endpoints focus on understanding the underlying physiological processes and are intended to generate hypotheses for future research. These include (derived) hemodynamic parameters from the starling device (such as cardiac output, total peripheral resistance), lactate, measured within the first three hours after ED arrival, as well as photoplethysmography (PPG) and electrocardiography (ECG) waveform characteristics, which may offer insights into changes in cardiovascular function during the ED stay [ 51 – 53 ]. In addition, a set of blood samples will be collected and stored via the Acutelines data biobank infrastructure to enable future exploratory analyses of biomarkers associated with fluid responsiveness, venous congestion, and hemodynamic endotypes [ 27 ].…”

Pulse Waveform Changes During Vasopressor Therapy Assessed Using Remote Photoplethysmography: A Case Series

“…Similarly, the reduction in diastolic wave amplitude across all cases indicates changes in vascular tone and peripheral runoff rather than changes in cardiac filling [21,22]. This finding is consistent with previous work by Ter Horst et al (2025) [24], who showed that sepsis progression is associated with altered PPG waveform morphology, including reduced amplitude components. Our observations demonstrate that rPPG-derived waveform features may remain sensitive even when traditional macrocirculatory parameters appear stable, underscoring the potential of rPPG for early detection of microvascular alterations or excessive vasoconstriction.…”

ECG spectrogram-based deep learning model to predict deterioration of patients with early sepsis at the emergency department: a study from the Acutelines data- and biobank

“…These studies olen used 10 to 60 seconds of ECG recordings, while our study used 20 minutes, which allows for capturing slower processes and deteriorabng trends. When comparing the spectrogram-based method to other methods to predict deteriorabon in pabents with early sepsis, such as NEWS, qSOFA, and HRV, this study presented models with AUCs in the same range as presented here (0.65-0.89) [17,[31][32][33].…”

FLUid management and InDividualized resuscitation in Sepsis (FLUIDS)—A Study protocol for a single-centre, open-label, randomized clinical trial

“…Exploratory mechanistic endpoints focus on understanding the underlying physiological processes and are intended to generate hypotheses for future research. These include (derived) hemodynamic parameters from the starling device (such as cardiac output, total peripheral resistance), lactate, measured within the first three hours after ED arrival, as well as photoplethysmography (PPG) and electrocardiography (ECG) waveform characteristics, which may offer insights into changes in cardiovascular function during the ED stay [ 51 – 53 ]. In addition, a set of blood samples will be collected and stored via the Acutelines data biobank infrastructure to enable future exploratory analyses of biomarkers associated with fluid responsiveness, venous congestion, and hemodynamic endotypes [ 27 ].…”