Skip to main content
Top
Published in: Journal of Clinical Monitoring and Computing 4/2021

Open Access 01-08-2021 | Abdominal Surgery | Original Research

Variations in respiratory rate do not reflect changes in tidal volume or minute ventilation after major abdominal surgery

Authors: O. F. C. van den Bosch, R. Alvarez-Jimenez, M. M. H. Stam, F. C. den Boer, S. A. Loer

Published in: Journal of Clinical Monitoring and Computing | Issue 4/2021

Login to get access

Abstract

Monitoring of postoperative pulmonary function usually includes respiratory rate and oxygen saturation measurements. We hypothesized that changes in postoperative respiratory rate do not correlate with changes in tidal volume or minute ventilation. In addition, we hypothesized that variability of minute ventilation and tidal volume is larger than variability of respiratory rate. Respiratory rate and changes in tidal volume and in minute ventilation were continuously measured in 27 patients during 24 h following elective abdominal surgery, using an impedance-based non-invasive respiratory volume monitor (ExSpiron, Respiratory Motion, Waltham, MA, US). Coefficients of variation were used as a measure for variability of respiratory rate, tidal volume and minute ventilation. Data of 38,149 measurements were analyzed. We found no correlation between respiratory rate and tidal volume or minute ventilation (r2 = 0.02 and 0.01). Mean respiratory rate increased within the first 24 h after abdominal surgery from 13.9 ± 2.5 to 16.2 ± 2.4 breaths/min (p = 0.008), while tidal volume and minute ventilation remained unchanged (p = 0.90 and p = 0.18). Of interest, variability of respiratory rate (0.21 ± 0.06) was significantly smaller than variability of tidal volume (0.37 ± 0.12, p < 0.001) and minute ventilation (0.41 ± 0.12, p < 0.001). Changes in postoperative respiratory rate do not allow conclusions about changes in tidal volume or minute ventilation. We suggest that postoperative alveolar hypoventilation may not be recognized by monitoring respiratory rate alone. Variability of respiratory rate is smaller than variability in tidal volume and minute ventilation, suggesting that adaptations of alveolar ventilation to metabolic needs may be predominately achieved by variations in tidal volume.
Literature
1.
go back to reference Miskovic A, Lumb AB. Postoperative pulmonary complications. Br J Anaesth. 2017;118:317–34.CrossRef Miskovic A, Lumb AB. Postoperative pulmonary complications. Br J Anaesth. 2017;118:317–34.CrossRef
2.
go back to reference Smetana GW, Lawrence VA, Cornell JE, et al. Preoperative pulmonary risk stratification for noncardiothoracic surgery: systematic review for the American College of Physicians. Ann Intern Med. 2006;144:581–95.CrossRef Smetana GW, Lawrence VA, Cornell JE, et al. Preoperative pulmonary risk stratification for noncardiothoracic surgery: systematic review for the American College of Physicians. Ann Intern Med. 2006;144:581–95.CrossRef
3.
go back to reference Smith PR, Baig MA, Brt V, et al. Postoperative pulmonary complications after laparotomy. Respiration. 2010;80:269–74.CrossRef Smith PR, Baig MA, Brt V, et al. Postoperative pulmonary complications after laparotomy. Respiration. 2010;80:269–74.CrossRef
4.
go back to reference Yang CK, Teng A, Lee DY, et al. Pulmonary complications after major abdominal surgery: National Surgical Quality Improvement Program analysis. J Surg Res. 2015;198:441–9.CrossRef Yang CK, Teng A, Lee DY, et al. Pulmonary complications after major abdominal surgery: National Surgical Quality Improvement Program analysis. J Surg Res. 2015;198:441–9.CrossRef
5.
go back to reference McAlister FA, Bretsch K, Man J, et al. Incidence of and risk factors for pulmonary complications after nonthoracic surgery. Am J Respir Crit Care Med. 2005;171:514–7.CrossRef McAlister FA, Bretsch K, Man J, et al. Incidence of and risk factors for pulmonary complications after nonthoracic surgery. Am J Respir Crit Care Med. 2005;171:514–7.CrossRef
6.
go back to reference Hollis RH, Graham LA, Lazenby JP, et al. A role for the early warning score in early identification of critical postoperative complications. Ann Surg. 2016;265:918–23.CrossRef Hollis RH, Graham LA, Lazenby JP, et al. A role for the early warning score in early identification of critical postoperative complications. Ann Surg. 2016;265:918–23.CrossRef
7.
go back to reference Alam N, Hobbelink EL, Van Tienhoven AJ, et al. The impact of the use of the Early Warning Score (EWS) on patient outcomes: a systematic review. Resuscitation. 2014;85:587–94.CrossRef Alam N, Hobbelink EL, Van Tienhoven AJ, et al. The impact of the use of the Early Warning Score (EWS) on patient outcomes: a systematic review. Resuscitation. 2014;85:587–94.CrossRef
8.
go back to reference Dahan A, Teppema LJ. Influence of anaesthesia and analgesia on the control of breathing. Br J Anaesth. 2003;91:40–9.CrossRef Dahan A, Teppema LJ. Influence of anaesthesia and analgesia on the control of breathing. Br J Anaesth. 2003;91:40–9.CrossRef
9.
go back to reference Holley K, MacNebb CM, Georgiadis P, et al. Monitoring minute ventilation versus respiratory rate to measure the adequacy of ventilation in patients undergoing upper endoscopic procedures. J Clin Monit Comput. 2015;30:33–9.CrossRef Holley K, MacNebb CM, Georgiadis P, et al. Monitoring minute ventilation versus respiratory rate to measure the adequacy of ventilation in patients undergoing upper endoscopic procedures. J Clin Monit Comput. 2015;30:33–9.CrossRef
10.
go back to reference Voscopoulos C, Brayanov J, Ladd D, et al. Evaluation of a novel noninvasive respiration monitor providing continuous measurement of minute ventilation in ambulatory subjects in a variety of clinical scenarios. Anesth Analg. 2013;117:91–100.CrossRef Voscopoulos C, Brayanov J, Ladd D, et al. Evaluation of a novel noninvasive respiration monitor providing continuous measurement of minute ventilation in ambulatory subjects in a variety of clinical scenarios. Anesth Analg. 2013;117:91–100.CrossRef
11.
go back to reference Frey U, Maksym G, Suki B. Temporal complexity in clinical manifestations of lung disease. J Appl Physiol. 2011;110:1723–31.CrossRef Frey U, Maksym G, Suki B. Temporal complexity in clinical manifestations of lung disease. J Appl Physiol. 2011;110:1723–31.CrossRef
12.
go back to reference Buchman TG, Stein PK, Goldstein B. Heart rate variability in critical illness and critical care. Curr Opin Crit Care. 2002;8:311–5.CrossRef Buchman TG, Stein PK, Goldstein B. Heart rate variability in critical illness and critical care. Curr Opin Crit Care. 2002;8:311–5.CrossRef
13.
go back to reference Bradley BD, Green G, Ramsay T, Seely AJ. Impact of sedation and organ failure on continuous heart and respiratory rate variability monitoring in critically ill patients: a pilot study. Crit Care Med. 2013;41:433–44.CrossRef Bradley BD, Green G, Ramsay T, Seely AJ. Impact of sedation and organ failure on continuous heart and respiratory rate variability monitoring in critically ill patients: a pilot study. Crit Care Med. 2013;41:433–44.CrossRef
14.
go back to reference Voscopoulos CJ, MacNabb CM, Freeman J, et al. Continuous noninvasive respiratory volume monitoring for the identification of patients at risk for opioid-induced respiratory depression and obstructive breathing patterns. J Trauma Acute Care Surg. 2014;77:S208–215.CrossRef Voscopoulos CJ, MacNabb CM, Freeman J, et al. Continuous noninvasive respiratory volume monitoring for the identification of patients at risk for opioid-induced respiratory depression and obstructive breathing patterns. J Trauma Acute Care Surg. 2014;77:S208–215.CrossRef
15.
go back to reference Gomez-Moral AD, Cravero JP, Harvey BC, et al. The evaluation of a noninvasive respiratory volume monitor in pediatric patients undergoing general anesthesia. Anesth Analg. 2017;125:1913–9.CrossRef Gomez-Moral AD, Cravero JP, Harvey BC, et al. The evaluation of a noninvasive respiratory volume monitor in pediatric patients undergoing general anesthesia. Anesth Analg. 2017;125:1913–9.CrossRef
16.
go back to reference Ianchulev S, Ladd D, Marshall MacNabb C, et al. Use of a respiratory volume monitor to assess respiratory competence in cardiac surgery patients after extubation. J Clin Med Res. 2017;9:17–22.CrossRef Ianchulev S, Ladd D, Marshall MacNabb C, et al. Use of a respiratory volume monitor to assess respiratory competence in cardiac surgery patients after extubation. J Clin Med Res. 2017;9:17–22.CrossRef
17.
go back to reference Schumann R, Kwater AP, Bonney I, et al. Respiratory volume monitoring in an obese surgical population and the prediction of postoperative respiratory depression by the STOP-bang OSA risk score. J Clin Anesth. 2016;34:295–301.CrossRef Schumann R, Kwater AP, Bonney I, et al. Respiratory volume monitoring in an obese surgical population and the prediction of postoperative respiratory depression by the STOP-bang OSA risk score. J Clin Anesth. 2016;34:295–301.CrossRef
18.
go back to reference Zhang X, Kassem MAM, Zhou Y, et al. A brief review of non-invasive monitoring of respiratory condition for extubated patients with or at risk for obstructive sleep apnea after surgery. Front Med. 2017;4:26.CrossRef Zhang X, Kassem MAM, Zhou Y, et al. A brief review of non-invasive monitoring of respiratory condition for extubated patients with or at risk for obstructive sleep apnea after surgery. Front Med. 2017;4:26.CrossRef
19.
go back to reference Cavalcante AN, Martin YN, Sprung J, et al. Low minute ventilation episodes during anesthesia recovery following intraperitoneal surgery as detected by a non-invasive respiratory volume monitor. J Clin Monit Comput. 2018;32:929–35.CrossRef Cavalcante AN, Martin YN, Sprung J, et al. Low minute ventilation episodes during anesthesia recovery following intraperitoneal surgery as detected by a non-invasive respiratory volume monitor. J Clin Monit Comput. 2018;32:929–35.CrossRef
20.
go back to reference Wysocki M, Cracco C, Teixeira A, et al. Reduced breathing variability as a predictor of unsuccessful patient separation from mechanical ventilation. Crit Care Med. 2006;34:2076–83.CrossRef Wysocki M, Cracco C, Teixeira A, et al. Reduced breathing variability as a predictor of unsuccessful patient separation from mechanical ventilation. Crit Care Med. 2006;34:2076–83.CrossRef
21.
go back to reference Seppä VP, Pelkonen AS, Kotaniemi-Syrjänen A, et al. Tidal flow variability measured by impedance pneumography relates to childhood asthma risk. Eur Respir J. 2016;47:1687–96.CrossRef Seppä VP, Pelkonen AS, Kotaniemi-Syrjänen A, et al. Tidal flow variability measured by impedance pneumography relates to childhood asthma risk. Eur Respir J. 2016;47:1687–96.CrossRef
22.
go back to reference Usemann J, Suter A, Zannin E, et al. Variability of tidal breathing parameters in preterm infants and associations with respiratory morbidity during infancy: a Cohort Study. J Pediatr. 2019;205:61–69e1.CrossRef Usemann J, Suter A, Zannin E, et al. Variability of tidal breathing parameters in preterm infants and associations with respiratory morbidity during infancy: a Cohort Study. J Pediatr. 2019;205:61–69e1.CrossRef
23.
go back to reference Anderson DE, McNeely JD, Chesney MA, et al. Breathing variability at rest is positively associated with 24-hr blood pressure level. Am J Hypertens. 2008;21:1324–9.CrossRef Anderson DE, McNeely JD, Chesney MA, et al. Breathing variability at rest is positively associated with 24-hr blood pressure level. Am J Hypertens. 2008;21:1324–9.CrossRef
24.
go back to reference Benchetrit G. Breathing patterns in humans: diversity and individuality. Respir Physiol. 2000;122:123–9.CrossRef Benchetrit G. Breathing patterns in humans: diversity and individuality. Respir Physiol. 2000;122:123–9.CrossRef
Metadata
Title
Variations in respiratory rate do not reflect changes in tidal volume or minute ventilation after major abdominal surgery
Authors
O. F. C. van den Bosch
R. Alvarez-Jimenez
M. M. H. Stam
F. C. den Boer
S. A. Loer
Publication date
01-08-2021
Publisher
Springer Netherlands
Published in
Journal of Clinical Monitoring and Computing / Issue 4/2021
Print ISSN: 1387-1307
Electronic ISSN: 1573-2614
DOI
https://doi.org/10.1007/s10877-020-00538-3

Other articles of this Issue 4/2021

Journal of Clinical Monitoring and Computing 4/2021 Go to the issue