The role of ultrasonographic lung aeration score in the prediction of postoperative pulmonary complications: an observational study

Marcell Szabó, Anna Bozó, Katalin Darvas, Sándor Soós, Márta Őzse, Zsolt D Iványi, Marcell Szabó, Anna Bozó, Katalin Darvas, Sándor Soós, Márta Őzse, Zsolt D Iványi

Abstract

Background: Postoperative pulmonary complications (PPCs) are important contributors to mortality and morbidity after surgery. The available predicting models are useful in preoperative risk assessment, but there is a need for validated tools for the early postoperative period as well. Lung ultrasound is becoming popular in intensive and perioperative care and there is a growing interest to evaluate its role in the detection of postoperative pulmonary pathologies.

Objectives: We aimed to identify characteristics with the potential of recognizing patients at risk by comparing the lung ultrasound scores (LUS) of patients with/without PPC in a 24-h postoperative timeframe.

Methods: Observational study at a university clinic. We recruited ASA 2-3 patients undergoing elective major abdominal surgery under general anaesthesia. LUS was assessed preoperatively, and also 1 and 24 h after surgery. Baseline and operative characteristics were also collected. A one-week follow up identified PPC+ and PPC- patients. Significantly differing LUS values underwent ROC analysis. A multi-variate logistic regression analysis with forward stepwise model building was performed to find independent predictors of PPCs.

Results: Out of the 77 recruited patients, 67 were included in the study. We evaluated 18 patients in the PPC+ and 49 in the PPC- group. Mean ages were 68.4 ± 10.2 and 66.4 ± 9.6 years, respectively (p = 0.4829). Patients conforming to ASA 3 class were significantly more represented in the PPC+ group (66.7 and 26.5%; p = 0.0026). LUS at baseline and in the postoperative hour were similar in both populations. The median LUS at 0 h was 1.5 (IQR 1-2) and 1 (IQR 0-2; p = 0.4625) in the PPC+ and PPC- groups, respectively. In the first postoperative hour, both groups had a marked increase, resulting in scores of 6.5 (IQR 3-9) and 5 (IQR 3-7; p = 0.1925). However, in the 24th hour, median LUS were significantly higher in the PPC+ group (6; IQR 6-10 vs 3; IQR 2-4; p < 0.0001) and it was an independent risk factor (OR = 2.6448 CI95% 1.5555-4.4971; p = 0.0003). ROC analysis identified the optimal cut-off at 5 points with high sensitivity (0.9444) and good specificity (0.7755).

Conclusion: Postoperative LUS at 24 h can identify patients at risk of or in an early phase of PPCs.

Keywords: Lung ultrasound; Perioperative care; Point-of-care ultrasound; Postoperative pulmonary complications; Ultrasonography.

Conflict of interest statement

The authors declare that they have no competing interests.

Figures

Fig. 1
Fig. 1
Typical ultrasound patterns with different scores in parentheses. a: A-profile (0 point); b: typical B-profile (1 point). B-lines marked with white arrows; c: small subpleural consolidation (black arrowhead) with clear pleural line (1 point); d: confluent B-profile (2 points); e: multiple subpleural consolidations (white arrowheads) and irregular pleural line (2 points); f: consolidated lung with aerobronchograms (3 points)
Fig. 2
Fig. 2
Study flowchart with reasons of exclusion in different stages
Fig. 3
Fig. 3
Lung ultrasound scores at different timepoints in the PPC+ and PPC- groups. Median values with interquartile ranges. ***: p < 0.0001 (Mann-Whitney U)
Fig. 4
Fig. 4
ROC curve of postoperative 24th hour lung ultrasound scores in the prediction of PPCs

References

    1. Epidemiology, practice of ventilation and outcome for patients at increased risk of postoperative pulmonary complications: LAS VEGAS - an observational study in 29 countries. Eur J Anaesthesiol 2017;34(8):492–507.
    1. Canet J, Gallart L, Gomar C, Paluzie G, Valles J, Castillo J, Sabate S, Mazo V, Briones Z, Sanchis J. Prediction of postoperative pulmonary complications in a population-based surgical cohort. Anesthesiology. 2010;113(6):1338–1350. doi: 10.1097/ALN.0b013e3181fc6e0a.
    1. Miskovic A, Lumb AB. Postoperative pulmonary complications. Br J Anaesth. 2017;118(3):317–334. doi: 10.1093/bja/aex002.
    1. Smith PR, Baig MA, Brito V, Bader F, Bergman MI, Alfonso A. Postoperative pulmonary complications after laparotomy. Respiration. 2010;80(4):269–274. doi: 10.1159/000253881.
    1. Abbott TEF, Fowler AJ, Pelosi P, Gama de Abreu M, Moller AM, Canet J, Creagh-Brown B, Mythen M, Gin T, Lalu MM, et al. A systematic review and consensus definitions for standardised end-points in perioperative medicine: pulmonary complications. Br J Anaesth. 2018;120(5):1066–1079. doi: 10.1016/j.bja.2018.02.007.
    1. Jeong BH, Shin B, Eom JS, Yoo H, Song W, Han S, Lee KJ, Jeon K, Um SW, Koh WJ, et al. Development of a prediction rule for estimating postoperative pulmonary complications. PLoS One. 2014;9(12):e113656. doi: 10.1371/journal.pone.0113656.
    1. Mazo V, Sabate S, Canet J, Gallart L, de Abreu MG, Belda J, Langeron O, Hoeft A, Pelosi P. Prospective external validation of a predictive score for postoperative pulmonary complications. Anesthesiology. 2014;121(2):219–231. doi: 10.1097/ALN.0000000000000334.
    1. Yang CK, Teng A, Lee DY, Rose K. Pulmonary complications after major abdominal surgery: national surgical quality improvement program analysis. J Surg Res. 2015;198(2):441–449. doi: 10.1016/j.jss.2015.03.028.
    1. McLean DJ, Diaz-Gil D, Farhan HN, Ladha KS, Kurth T, Eikermann M. Dose-dependent association between intermediate-acting neuromuscular-blocking agents and postoperative respiratory complications. Anesthesiology. 2015;122(6):1201–1213. doi: 10.1097/ALN.0000000000000674.
    1. McAlister FA, Bertsch K, Man J, Bradley J, Jacka M. Incidence of and risk factors for pulmonary complications after nonthoracic surgery. Am J Respir Crit Care Med. 2005;171(5):514–517. doi: 10.1164/rccm.200408-1069OC.
    1. Balik M, Plasil P, Waldauf P, Pazout J, Fric M, Otahal M, Pachl J. Ultrasound estimation of volume of pleural fluid in mechanically ventilated patients. Intensive Care Med. 2006;32(2):318. doi: 10.1007/s00134-005-0024-2.
    1. Lichtenstein D, Meziere G, Biderman P, Gepner A. The comet-tail artifact: an ultrasound sign ruling out pneumothorax. Intensive Care Med. 1999;25(4):383–388. doi: 10.1007/s001340050862.
    1. Lichtenstein D, Meziere G, Biderman P, Gepner A. The “lung point”: an ultrasound sign specific to pneumothorax. Intensive Care Med. 2000;26(10):1434–1440. doi: 10.1007/s001340000627.
    1. Lichtenstein DA. BLUE-protocol and FALLS-protocol: two applications of lung ultrasound in the critically ill. Chest. 2015;147(6):1659–1670. doi: 10.1378/chest.14-1313.
    1. Touw HR, Parlevliet KL, Beerepoot M, Schober P, Vonk A, Twisk JW, Elbers PW, Boer C, Tuinman PR. Lung ultrasound compared with chest X-ray in diagnosing postoperative pulmonary complications following cardiothoracic surgery: a prospective observational study. Anaesthesia. 2018;73(8):946–954. doi: 10.1111/anae.14243.
    1. Bouhemad B, Brisson H, Le-Guen M, Arbelot C, Lu Q, Rouby JJ. Bedside ultrasound assessment of positive end-expiratory pressure-induced lung recruitment. Am J Respir Crit Care Med. 2011;183(3):341–347. doi: 10.1164/rccm.201003-0369OC.
    1. Bouhemad B, Dransart-Raye O, Mojoli F, Mongodi S. Lung ultrasound for diagnosis and monitoring of ventilator-associated pneumonia. Ann Translat Med. 2018;6(21):418. doi: 10.21037/atm.2018.10.46.
    1. Mongodi S, Bouhemad B, Orlando A, Stella A, Tavazzi G, Via G, Iotti GA, Braschi A, Mojoli F. Modified lung ultrasound score for assessing and monitoring pulmonary aeration. Ultraschall Med. 2017;38(5):530–537. doi: 10.1055/s-0042-120260.
    1. Mongodi S, Pozzi M, Orlando A, Bouhemad B, Stella A, Tavazzi G, Via G, Iotti GA, Mojoli F. Lung ultrasound for daily monitoring of ARDS patients on extracorporeal membrane oxygenation: preliminary experience. Intensive Care Med. 2018;44(1):123–124. doi: 10.1007/s00134-017-4941-7.
    1. Soummer A, Perbet S, Brisson H, Arbelot C, Constantin JM, Lu Q, Rouby JJ. Lung ultrasound study G: ultrasound assessment of lung aeration loss during a successful weaning trial predicts postextubation distress*. Crit Care Med. 2012;40(7):2064–2072. doi: 10.1097/CCM.0b013e31824e68ae.
    1. Volpicelli G, Elbarbary M, Blaivas M, Lichtenstein DA, Mathis G, Kirkpatrick AW, Melniker L, Gargani L, Noble VE, Via G, et al. International evidence-based recommendations for point-of-care lung ultrasound. Intensive Care Med. 2012;38(4):577–591. doi: 10.1007/s00134-012-2513-4.
    1. Volpicelli G, Caramello V, Cardinale L, Mussa A, Bar F, Frascisco MF. Bedside ultrasound of the lung for the monitoring of acute decompensated heart failure. Am J Emerg Med. 2008;26(5):585–591. doi: 10.1016/j.ajem.2007.09.014.
    1. Mongodi S, Via G, Girard M, Rouquette I, Misset B, Braschi A, Mojoli F, Bouhemad B. Lung ultrasound for early diagnosis of ventilator-associated pneumonia. Chest. 2016;149(4):969–980. doi: 10.1016/j.chest.2015.12.012.
    1. Corradi F, Brusasco C, Vezzani A, Santori G, Manca T, Ball L, Nicolini F, Gherli T, Brusasco V. Computer-aided quantitative ultrasonography for detection of pulmonary edema in mechanically ventilated cardiac surgery patients. Chest. 2016;150(3):640–651. doi: 10.1016/j.chest.2016.04.013.
    1. Chiumello D, Mongodi S, Algieri I, Vergani GL, Orlando A, Via G, Crimella F, Cressoni M, Mojoli F. Assessment of lung aeration and recruitment by CT scan and ultrasound in acute respiratory distress syndrome patients. Crit Care Med. 2018;46(11):1761–1768. doi: 10.1097/CCM.0000000000003340.
    1. Monastesse A, Girard F, Massicotte N, Chartrand-Lefebvre C, Girard M. Lung ultrasonography for the assessment of perioperative atelectasis: a pilot feasibility study. Anesth Analg. 2017;124(2):494–504. doi: 10.1213/ANE.0000000000001603.
    1. Xing X, Gao Y, Wang H, Qu S, Huang C, Zhang H, Wang H, Sun K. Correlation of fluid balance and postoperative pulmonary complications in patients after esophagectomy for cancer. J Thorac Dis. 2015;7(11):1986–1993.
    1. Rouby JJ, Arbelot C, Gao Y, Zhang M, Lv J, An Y, Chunyao W, Bin D, Valente Barbas CS, Dexheimer Neto FL, et al. Training for lung ultrasound score measurement in critically ill patients. Am J Respir Crit Care Med. 2018;198(3):398–401. doi: 10.1164/rccm.201802-0227LE.
    1. Zanforlin A, Giannuzzi R, Nardini S, Testa A, Soldati G, Copetti R, Marchetti G, Valente S, Inchingolo R, Smargiassi A. The role of chest ultrasonography in the management of respiratory diseases: document I. Multidiscip Respir Med. 2013;8(1):54. doi: 10.1186/2049-6958-8-54.
    1. Whitley E, Ball J. Statistics review 4: sample size calculations. Critical Care. 2002;6(4):335–341. doi: 10.1186/cc1521.
    1. Szabo M, Bozo A, Darvas K, Horvath A, Ivanyi ZD. Role of inferior vena cava collapsibility index in the prediction of hypotension associated with general anesthesia: an observational study. BMC Anesthesiol. 2019;19(1):139. doi: 10.1186/s12871-019-0809-4.
    1. Dransart-Raye O, Roldi E, Zieleskiewicz L, Guinot PG, Mojoli F, Mongodi S, Bouhemad B. Lung ultrasound for early diagnosis of postoperative need for ventilatory support: a prospective observational study. Anaesthesia. 2020;75(2):202–209. doi: 10.1111/anae.14859.
    1. Zieleskiewicz L, Papinko M, Lopez A, Baldovini A, Fiocchi D, Meresse Z, Boussuges A, Thomas PA, Berdah S, Creagh-Brown B, et al. Lung ultrasound findings in the postanesthesia care unit are associated with outcome after major surgery: a prospective observational study in a high-risk cohort. Anesth Analg. 2020;132(1):172–181. doi: 10.1213/ANE.0000000000004755.
    1. Rothen HU, Sporre B, Engberg G, Wegenius G, Hedenstierna G. Re-expansion of atelectasis during general anaesthesia: a computed tomography study. Br J Anaesth. 1993;71(6):788–795. doi: 10.1093/bja/71.6.788.
    1. Canet J, Sabate S, Mazo V, Gallart L, de Abreu MG, Belda J, Langeron O, Hoeft A. Pelosi P, group P: development and validation of a score to predict postoperative respiratory failure in a multicentre European cohort: a prospective, observational study. Eur J Anaesthesiol. 2015;32(7):458–470. doi: 10.1097/EJA.0000000000000223.
    1. Rock P, Rich PB. Postoperative pulmonary complications. Curr Opin Anaesthesiol. 2003;16(2):123–131. doi: 10.1097/00001503-200304000-00004.
    1. Corradi F, Via G, Forfori F, Brusasco C, Tavazzi G. Lung ultrasound and B-lines quantification inaccuracy: B sure to have the right solution. Intensive Care Med. 2020;46(5):1081–1083. doi: 10.1007/s00134-020-06005-6.
    1. Brusasco C, Santori G, Bruzzo E, Tro R, Robba C, Tavazzi G, Guarracino F, Forfori F, Boccacci P, Corradi F. Quantitative lung ultrasonography: a putative new algorithm for automatic detection and quantification of B-lines. Critical Care. 2019;23(1):288. doi: 10.1186/s13054-019-2569-4.

Source: PubMed

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