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Introduction and objectives: Dyspnea is associated with fear and intense suffering and is often assessed using visual analog scales (VAS) or numerical rating scales (NRS). However, the physiological correlates of such ratings are not well known. Using the voluntary breath-holding model of induced dyspnea, we studied healthy volunteers to investigate the temporal relationship between dyspnea, the neural drive to breathe assessed in terms of involuntary thoracoabdominal movements (ITMs) and neurovegetative responses.Twenty-three participants (10 men; median [interquartile range] age 21 [20–21]) performed three consecutive breath-holds with the continuous assessment of dyspnea (urge-to-breathe) using a 10 cm VAS, thoracic and abdominal circumferences measured with piezoelectric belt-mounted transducers, heart rate and heart rate variability (HRV), and galvanic skin response (GSR). Urge-to-breathe VAS at the onset of ITMs (gasping point) was identified visually or algorithmically.Urge-to-breathe VAS at the end of the breath-hold was 9.7 [8.6–10] cm. Total breath-hold duration was 93 [69–130] s. Urge-to-breathe VAS, ITM, heart rate, HRV, and GSR significantly increased during breath-hold. Urge-to-breathe VAS correlated with the magnitude of the thoracic and abdominal movements (rho = 0.51 and rho = 0.59, respectively, p < 0.001). The urge-to-breathe ratings corresponding with ITM onset were 3.0 [2.0–4.7] cm and 3.0 [1.0–4.0] cm for visual and algorithmic detection, respectively (p = 0.782).An urge-to-breathe VAS of 3 cm (30% of full scale on a 10 cm VAS) corresponds to a physiological turning point during the physiological response to voluntary breath-holding in healthy humans.Participants and methods: Dyspnea is associated with fear and intense suffering and is often assessed using visual analog scales (VAS) or numerical rating scales (NRS). However, the physiological correlates of such ratings are not well known. Using the voluntary breath-holding model of induced dyspnea, we studied healthy volunteers to investigate the temporal relationship between dyspnea, the neural drive to breathe assessed in terms of involuntary thoracoabdominal movements (ITMs) and neurovegetative responses.Twenty-three participants (10 men; median [interquartile range] age 21 [20–21]) performed three consecutive breath-holds with the continuous assessment of dyspnea (urge-to-breathe) using a 10 cm VAS, thoracic and abdominal circumferences measured with piezoelectric belt-mounted transducers, heart rate and heart rate variability (HRV), and galvanic skin response (GSR). Urge-to-breathe VAS at the onset of ITMs (gasping point) was identified visually or algorithmically.Urge-to-breathe VAS at the end of the breath-hold was 9.7 [8.6–10] cm. Total breath-hold duration was 93 [69–130] s. Urge-to-breathe VAS, ITM, heart rate, HRV, and GSR significantly increased during breath-hold. Urge-to-breathe VAS correlated with the magnitude of the thoracic and abdominal movements (rho = 0.51 and rho = 0.59, respectively, p < 0.001). The urge-to-breathe ratings corresponding with ITM onset were 3.0 [2.0–4.7] cm and 3.0 [1.0–4.0] cm for visual and algorithmic detection, respectively (p = 0.782).An urge-to-breathe VAS of 3 cm (30% of full scale on a 10 cm VAS) corresponds to a physiological turning point during the physiological response to voluntary breath-holding in healthy humans.Results: Dyspnea is associated with fear and intense suffering and is often assessed using visual analog scales (VAS) or numerical rating scales (NRS). However, the physiological correlates of such ratings are not well known. Using the voluntary breath-holding model of induced dyspnea, we studied healthy volunteers to investigate the temporal relationship between dyspnea, the neural drive to breathe assessed in terms of involuntary thoracoabdominal movements (ITMs) and neurovegetative responses.Twenty-three participants (10 men; median [interquartile range] age 21 [20–21]) performed three consecutive breath-holds with the continuous assessment of dyspnea (urge-to-breathe) using a 10 cm VAS, thoracic and abdominal circumferences measured with piezoelectric belt-mounted transducers, heart rate and heart rate variability (HRV), and galvanic skin response (GSR). Urge-to-breathe VAS at the onset of ITMs (gasping point) was identified visually or algorithmically.Urge-to-breathe VAS at the end of the breath-hold was 9.7 [8.6–10] cm. Total breath-hold duration was 93 [69–130] s. Urge-to-breathe VAS, ITM, heart rate, HRV, and GSR significantly increased during breath-hold. Urge-to-breathe VAS correlated with the magnitude of the thoracic and abdominal movements (rho = 0.51 and rho = 0.59, respectively, p < 0.001). The urge-to-breathe ratings corresponding with ITM onset were 3.0 [2.0–4.7] cm and 3.0 [1.0–4.0] cm for visual and algorithmic detection, respectively (p = 0.782).An urge-to-breathe VAS of 3 cm (30% of full scale on a 10 cm VAS) corresponds to a physiological turning point during the physiological response to voluntary breath-holding in healthy humans.Conclusion: Dyspnea is associated with fear and intense suffering and is often assessed using visual analog scales (VAS) or numerical rating scales (NRS). However, the physiological correlates of such ratings are not well known. Using the voluntary breath-holding model of induced dyspnea, we studied healthy volunteers to investigate the temporal relationship between dyspnea, the neural drive to breathe assessed in terms of involuntary thoracoabdominal movements (ITMs) and neurovegetative responses.Twenty-three participants (10 men; median [interquartile range] age 21 [20–21]) performed three consecutive breath-holds with the continuous assessment of dyspnea (urge-to-breathe) using a 10 cm VAS, thoracic and abdominal circumferences measured with piezoelectric belt-mounted transducers, heart rate and heart rate variability (HRV), and galvanic skin response (GSR). Urge-to-breathe VAS at the onset of ITMs (gasping point) was identified visually or algorithmically.Urge-to-breathe VAS at the end of the breath-hold was 9.7 [8.6–10] cm. Total breath-hold duration was 93 [69–130] s. Urge-to-breathe VAS, ITM, heart rate, HRV, and GSR significantly increased during breath-hold. Urge-to-breathe VAS correlated with the magnitude of the thoracic and abdominal movements (rho = 0.51 and rho = 0.59, respectively, p < 0.001). The urge-to-breathe ratings corresponding with ITM onset were 3.0 [2.0–4.7] cm and 3.0 [1.0–4.0] cm for visual and algorithmic detection, respectively (p = 0.782).An urge-to-breathe VAS of 3 cm (30% of full scale on a 10 cm VAS) corresponds to a physiological turning point during the physiological response to voluntary breath-holding in healthy humans. [ABSTRACT FROM AUTHOR]

Introduction: Dyspnea is common and often severe symptom in mechanically ventilated patients. Proportional assist ventilation (PAV) is an assist ventilatory mode that adjusts the level of assistance to the activity of respiratory muscles. We hypothesized that PAV reduce dyspnea compared to pressure support ventilation (PSV). Patients and methods: Mechanically ventilated patients with clinically significant dyspnea were included. Dyspnea intensity was assessed by the Dyspnea—Visual Analog Scale (D-VAS) and the Intensive Care-Respiratory Distress Observation Scale (IC-RDOS) at inclusion (PSV-Baseline), after personalization of ventilator settings in order to minimize dyspnea (PSV-Personalization), and after switch to PAV. Respiratory drive was assessed by record of electromyographic activity of inspiratory muscles, the proportion of asynchrony was analyzed. Results: Thirty-four patients were included (73% males, median age of 66 [57–77] years). The D-VAS score was lower with PSV-Personalization (37 mm [20‒55]) and PAV (31 mm [14‒45]) than with PSV-Baseline (62 mm [28‒76]) (p < 0.05). The IC-RDOS score was lower with PAV (4.2 [2.4‒4.7]) and PSV-Personalization (4.4 [2.4‒4.9]) than with PSV-Baseline (4.8 [4.1‒6.5]) (p < 0.05). The electromyographic activity of parasternal intercostal muscles was lower with PAV and PSV-Personalization than with PSV-Baseline. The asynchrony index was lower with PAV (0% [0‒0.55]) than with PSV-Baseline and PSV-Personalization (0.68% [0‒2.28] and 0.60% [0.31‒1.41], respectively) (p < 0.05). Conclusion: In mechanically ventilated patients exhibiting clinically significant dyspnea with PSV, personalization of PSV settings and PAV results in not different decreased dyspnea and activity of muscles to a similar degree, even though PAV was able to reduce asynchrony more effectively. [ABSTRACT FROM AUTHOR]