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Journal of Clinical Monitoring and Computing

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01-04-2018 | Review Paper

Journal of Clinical Monitoring and Computing 2017 end of year summary: respiration

Authors: D. S. Karbing, G. Perchiazzi, S. E. Rees, M. B. Jaffe

Published in: Journal of Clinical Monitoring and Computing | Issue 2/2018

Abstract

This paper reviews 32 papers or commentaries published in Journal of Clinical Monitoring and Computing in 2016, within the field of respiration. Papers were published covering airway management, ventilation and respiratory rate monitoring, lung mechanics and gas exchange monitoring, in vitro monitoring of lung mechanics, CO₂ monitoring, and respiratory and metabolic monitoring techniques.

Karbing DS, Rees SE, Jaffe MB. Journal of Clinical Monitoring and Computing 2016 end of year summary: respiration. J Clin Monit Comput. 2017;31(2):247 – 52.CrossRefPubMed

Fulkerson JS, Moore HM, Anderson TS, Lowe RF Jr. Ultrasonography in the preoperative difficult airway assessment. J Clin Monit Comput. 2017;31(3):513–30.CrossRefPubMed

Dogru S, Karaman T, Sahin A, Tapar H, Karaman S, Arici S, Suren M, Kaya Z, Somuk BT. Prediction of difficult laryngoscopy using spirometry: a pilot study. J Clin Monit Comput. 2017;31(6):1115–21.CrossRefPubMed

Vannucci A. Can spirometry be a new tool to predict the difficult airway?. J Clin Monit Comput. 2017;31(6):1111–3.CrossRefPubMed

Grape S, Schoettker P. The role of tracheal tube introducers and stylets in current airway management. J Clin Monit Comput. 2017;31(3):531–7.CrossRefPubMed

Lopez AM, Agusti M, Gambus P, Pons M, Anglada T, Valero R. A randomized comparison of the Ambu AuraGain versus the LMA supreme in patients undergoing gynaecologic laparoscopic surgery. J Clin Monit Comput. 2017;31(6):1255–62.CrossRefPubMed

Geng G, Chen Y, Liu H. Preheating of streamlined liner of pharyngeal airway (SLIPA) reduced the related complications: a randomized control study. J Clin Monit Comput. 2017 Jun;31(3):547–50.CrossRefPubMed

Gu Z, Jin Q, Liu J, Chen L. Observation of ventilation effects of I-gel™, Supreme™ and Ambu AuraOnce™ with respiratory dynamics monitoring in small children. J Clin Monit Comput Springer Netherlands. 2017;31(5):1035–41.CrossRef

Umutoglu T, Bakan M, Topuz U, Yilmaz S, Idin K, Alver S, Ozturk E, Salihoglu Z. Comparison of EtView™ tracheoscopic ventilation tube and video-assisted fiberoptic bronchoscopy during percutaneous dilatational tracheostomy. J Clin Monit Comput. 2017;31(3):507–12.CrossRefPubMed

10.

Voisin B, Nseir S. Tracheoscopic ventilation tube: a new step towards safer tracheostomy?. J Clin Monit Comput 2017;31(3):503–5.CrossRefPubMed

11.

Ebert TJ, Middleton AH, Makhija N. Ventilation monitoring during moderate sedation in GI patients. J Clin Monit Comput 2017;31(1):53–7.CrossRefPubMed

12.

Voscopoulos C, Theos K, Tillmann Hein HA, George E. A risk stratification algorithm using non-invasive respiratory volume monitoring to improve safety when using post-operative opioids in the PACU. J Clin Monit Comput. 2017;31(2):417–26.CrossRefPubMed

13.

Pereira CB, Yu X, Czaplik M, Blazek V, Venema B, Leonhardt S. Estimation of breathing rate in thermal imaging videos: a pilot study on healthy human subjects. J Clin Monit Comput. 2017;31(6):1241–54.CrossRef

14.

Ouchi K, Fujiwara S, Sugiyama K. Acoustic method respiratory rate monitoring is useful in patients under intravenous anesthesia. J Clin Monit Comput. 2017;31(1):59–65.CrossRefPubMed

15.

Yang S, Menne A, Hu P, Stansbury L, Gao C, Dorsey N, Chiu W, Shackelford S, Mackenzie C. Acoustic sensor versus electrocardiographically derived respiratory rate in unstable trauma patients. J Clin Monit Comput. 2017;31(4):765–72.CrossRefPubMed

16.

McGrath SP, Pyke J, Taenzer AH. Assessment of continuous acoustic respiratory rate monitoring as an addition to a pulse oximetry-based patient surveillance system. J Clin Monit Comput. 2017;31(3):561–9.CrossRefPubMed

17.

Tomescu DR, Popescu M, Dima SO, Bacalbașa N, Bubenek-Turconi Șerban. Obesity is associated with decreased lung compliance and hypercapnia during robotic assisted surgery. J Clin Monit Comput. 2017;31(1):85–92.CrossRefPubMed

18.

Hoşten T, Kuş A, Gümüş E, Yavuz Ş, İrkil S, Solak M. Comparison of intraoperative volume and pressure-controlled ventilation modes in patients who undergo open heart surgery. J Clin Monit Comput. 2017;31(1):75–84.CrossRefPubMed

19.

Bou-Khalil P, Zeineldine S, Chatburn R, Ayyoub C, Elkhatib F, Bou-Akl I, El-Khatib M. Prediction of inspired oxygen fraction for targeted arterial oxygen tension following open heart surgery in non-smoking and smoking patients. J Clin Monit Comput. 2017;31(5):999–1008.CrossRefPubMed

20.

Fathabadi OS, Gale T, Wheeler K, Plottier G, Owen LS, Olivier JC, Dargaville PA. Hypoxic events and concomitant factors in preterm infants on non-invasive ventilation. J Clin Monit Comput. 2017;31(2):427–33.CrossRefPubMed

21.

Dassios T, Ali K, Rossor T, Greenough A. Ventilation/perfusion ratio and right to left shunt in healthy newborn infants. J Clin Monit Comput. 2017;31(6):1229–34.CrossRefPubMed

22.

Winkler BE, Muellenbach RM, Wurmb T, Struck MF, Roewer N, Kranke P. Passive continuous positive airway pressure ventilation during cardiopulmonary resuscitation: a randomized cross-over manikin simulation study. J Clin Monit Comput. 2017;31(1):93–101.CrossRefPubMed

23.

Formenti P, Umbrello M, Graf J, Adams AB, Dries DJ, Marini JJ. Reliability of transpulmonary pressure-time curve profile to identify tidal recruitment/hyperinflation in experimental unilateral pleural effusion. J Clin Monit Comput. 2017;31(4):783–91.CrossRefPubMed

24.

Perchiazzi G, Rylander C, Pellegrini M, Larsson A, Hedenstierna G. Monitoring of total positive end-expiratory pressure during mechanical ventilation by artificial neural networks. J Clin Monit Comput. 2017;31(3):551–9.CrossRefPubMed

25.

Gattinoni L, Carlesso E, Cressoni M. Selecting the ‘right’ positive end-expiratory pressure level. Curr Opin Crit Care. 2015;21(1):50 – 7.CrossRefPubMed

26.

Mondoñedo JR, Herrmann J, McNeil JS, Kaczka DW. Comparison of pneumotachography and anemometery for flow measurement during mechanical ventilation with volatile anesthetics. J Clin Monit Comput. 2017 ;31(6):1263–71.CrossRefPubMed

27.

Jaffe MB. Using the features of the time and volumetric capnogram for classification and prediction. J Clin Monit Comput 2017;31(1):19–41.CrossRefPubMed

28.

Rees SE, Larraza S, Dey N, Spadaro S, Brohus JB, Winding RW, Volta CA, Karbing DS. Typical patterns of expiratory flow and carbon dioxide in mechanically ventilated patients with spontaneous breathing. J Clin Monit Comput. 2017;31(4):773–81.CrossRefPubMed

29.

Blankush JM, Freeman R, McIlvaine J, Tran T, Nassani S, Leitman IM. Implementation of a novel postoperative monitoring system using automated Modified Early Warning Scores (MEWS) incorporating end-tidal capnography. J Clin Monit Comput. 2017;31(5):1081–92.CrossRefPubMed

30.

Maghsoodi B, Sabetian G, Azimi A, Tanideh N, Mehdizade A. Sound level analysis in endotracheal tube obstruction in spontaneous breathing and mechanical ventilation—an animal model study. J Clin Monit Comput. 2017;31(6):1235–40.CrossRefPubMed

31.

Krüger J, Kraft M, Gründling M, Friesecke S, Gärtner S, Vogt LJ, Schüler N, Steveling A, Lerch MM, Aghdassi AA. Evaluation of a non-invasive multisensor accelerometer for calculating energy expenditure in ventilated intensive care patients compared to indirect calorimetry and predictive equations. J Clin Monit Comput. 2017;31(5):1009–17.CrossRefPubMed

32.

Yerworth RJ, Frerichs I, Bayford R. Analysis and compensation for errors in electrical impedance tomography images and ventilation-related measures due to serial data collection. J Clin Monit Comput. 2017;31(5):1093–101.CrossRefPubMed

33.

Lo WLA, Huang DF. Assessment of an alternative calibration technique to record breathing pattern and its variability with respiratory inductive plethysmography. J Clin Monit Comput. 2017;31(4):755–64.CrossRefPubMed

34.

Millard RK. Key to better qualitative diagnostic calibrations in respiratory inductive plethysmography. Physiol Meas. 2002;23(2):N1-8.CrossRefPubMed

35.

Ronen M, Weissbrod R, Overdyk FJ, Ajizian S. Smart respiratory monitoring: clinical development and validation of the IPI™ (Integrated Pulmonary Index) algorithm. J Clin Monit Comput. 2017;31(2):435–42.CrossRefPubMed

Title: Journal of Clinical Monitoring and Computing 2017 end of year summary: respiration
Authors: D. S. Karbing
G. Perchiazzi
S. E. Rees
M. B. Jaffe
Publication date: 01-04-2018
Publisher: Springer Netherlands
Published in: Journal of Clinical Monitoring and Computing / Issue 2/2018
Print ISSN: 1387-1307
Electronic ISSN: 1573-2614
DOI: https://doi.org/10.1007/s10877-018-0121-8

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