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Breath-Holding Test After Deep Inhalation as a Risk Predictor of Adverse Events After Elective Abdominal Surgery in Children: Prospective Cohort Study

https://doi.org/10.15690/vsp.v25i3.3055

Abstract

Background. Early postoperative adverse events in children remain a significant clinical problem, their prognosis via multifactorial scales has several limitations (complexity, subjective assessment, insufficient accuracy). Thus, the search for accurate and non-invasive methods for assessing risk of postoperative events remains relevant.

Objective. The aim of the study is to examine the prognostic value of breath-holding test (BHT) duration after deep inhalation in assessing the risk of adverse events after elective abdominal surgery in children.

Methods. The single-center prospective cohort study included children aged 5–10 years with ASA I–II physical status and planned abdominal surgery. All participants were measured BHT duration (in seconds) three times after deep inhalation with calculating the mean value (at the preoperative stage — the day before anesthesia). Any adverse postoperative events were recorded during the first 6 hours after surgery: pain, postoperative nausea and vomiting, shivering, and agitation. The predictive BHT efficacy was analyzed via multivariate logistic regression and k-fold cross-validation.

Results. The study included 160 children. Adverse postoperative events were reported in 36 (22.5%) cases. BHT duration after deep inhalation was the only statistically significant predictor of adverse events in the multivariate logistic regression model: AUC — 0.833 (95% confidence interval (CI) 0.781–0.894), odds ratio — 0.82 (95% CI 0.77–0.88). BHT duration did not change significantly during cross-validation of predictive performance metrics. The optimal value for the development of adverse postoperative events prognosis was BHT duration  28 seconds. The frequency of adverse postoperative events in children with high postoperative risk (BHT  28 seconds) was more than twice as much as in children with BHT > 28 seconds (16.3 and 6.2%, respectively; p < 0.001).

Conclusion. BHT test after deep inhalation is a simple and non-invasive method to stratify risk while planning abdominal surgery in children. The BHT duration  28 seconds is the independent predictor of adverse events after such surgeries.

About the Authors

Ilya A. Trembach
Children’s Regional Clinical Hospital; Kuban State Medical University
Russian Federation

Krasnodar


Disclosure of interest:

Not declared.



Elizaveta S. Khatit
Kuban State Medical University
Russian Federation

Krasnodar


Disclosure of interest:

Not declared.



References

1. Brock R, Chu A, Lu S, et al. Postoperative complications after gastrointestinal pediatric surgical procedures: outcomes and socio-demographic risk factors. BMC Pediatr. 2022;22(1):358. doi: https://doi.org/10.1186/s12887-022-03418-8

2. Kozlov Y, Novozhilov V, Kovalkov KA. Comparison of Two Laparoscopic Techniques for Gastropexy in Children. J Laparoendosc Adv Surg Tech A. 2015;25(12):1057–1062. doi: https://doi.org/10.1089/lap.2015.0091

3. Shcherbakova OV, Shumilov PV. Postoperative complications in children with Crohn’s disease: an analysis of risk predictors. Russian Journal of Pediatric Surgery, Anesthesia and Intensive Care. 2022;12(3):301–310. (In Russ). doi: https://doi.org/10.17816/psaic1284]

4. Zabolotskikh IB, Belkin AA, Grigoryev EV, et al. Russian registry of Surgical OutcomeS — RuSOS: study protocol. Annals of Critical Care. 2024;(1):158–167. (In Russ). doi: https://doi.org/10.21320/1818-474X-2024-1-158-167

5. Luedeke CM, Rudolph MI, Pulverenti TS, et al. Development and validation of a score for prediction of postoperative respiratory complications in infants and children (SPORC-C). Br J Anaesth. 2025;134(1):212–220. doi: https://doi.org/10.1016/j.bja.2024.07.011

6. Udupa AN, Majmudar AA, Tran L. A systematic review of neurological airway respiratory cardiovascular other-surgical severity (NARCO-SS) score as a pediatric perioperative scoring system. Paediatr Anaesth. 2024;34(5):396–404. doi: https://doi.org/10.1111/pan.14846

7. Munkonka M, Bvulani BC, Mumpanshya H, Mulenga M. The Use of Narco SS Score in Predicting Adverse Events in Children Undergoing Major Elective Abdominal Surgery at The University Teaching Hospital, Lusaka, Zambia. Afr J Paediatr Surg. 2024;21(3):166–171. doi: https://doi.org/10.4103/ajps.ajps_7_22

8. Chung P, Fong CT, Walters AM, et al. Large Language Model Capabilities in Perioperative Risk Prediction and Prognostication. JAMA Surg. 2024;159(8):928–937. doi: https://doi.org/10.1001/jamasurg.2024.1621

9. Tangel VE, Hoeks SE, Stolker RJ, et al. International multiinstitutional external validation of preoperative risk scores for 30-day in-hospital mortality in paediatric patients. Br J Anaesth. 2024;133(6):1222–1233. doi: https://doi.org/10.1016/j.bja.2024.09.003

10. Evans D, Sommerfiel D, Hauser N, et al. Performance of published scoring tools for predicting the risk of perioperative respiratory adverse events in children — An evaluation in a large paediatric cohort. Anaesth Crit Care Pain Med. 2026;45(5):101776. doi: https://doi.org/10.1016/j.accpm.2026.101776

11. Tangel VE, Krul SD, Stolker RJ, et al. Perioperative Mortality in Pediatric Patients: A Systematic Review of Risk Assessment Tools for Use in the Preoperative Setting. Anesthesiology. 2022;137(5): 555–567. doi: https://doi.org/10.1097/ALN.0000000000004369

12. Liang Z, Xie Y, Chen S, et al. Predicting postoperative pain in children: an observational study using the pain threshold Index. Front Pediatr. 2024;12:1398182. doi: https://doi.org/10.3389/fped.2024.1398182

13. Wessel N, Gapelyuk A, Weiß J, et al. Instantaneous Cardiac Baroreflex Sensitivity: xBRS Method Quantifies Heart Rate Blood Pressure Variability Ratio at Rest and During Slow Breathing. Front Neurosci. 2020;14:547433. doi: https://doi.org/10.3389/fnins.2020.547433

14. STARSurg Collaborative and TASMAN Collaborative. Evaluation of prognostic risk models for postoperative pulmonary complications in adult patients undergoing major abdominal surgery: a systematic review and international external validation cohort study. Lancet Digit Health. 2022;4(7):e520–e531. doi: https://doi.org/10.1016/S2589-7500(22)00069-3

15. Dmitriev A, Trembach N. Breath-holding test in the prognosis of postoperative pain in laparoscopic gynecology: observational cohort study. Open Anesthesiology Journal. 2024;18:e25896458296522. doi: https://doi.org/10.2174/0125896458296522240404043901

16. Davydova SS, Nazirova AA, Davydova YuA. Physical rehabilitation of 4–7 year old children with respiratory diseases. International Research Journal. 2021;11(113):54–59. (In Russ). doi: https://doi.org/10.23670/IRJ.2021.113.11.045]

17. Robinson PD, Latzin P, Ramsey KA, et al. Preschool MultipleBreath Washout Testing. An Official American Thoracic Society Technical Statement. Am J Respir Crit Care Med. 2018;197(5):e1– e19. doi: https://doi.org/10.1164/rccm.201801-0074ST

18. Trembach IA. Duration of breath-holding test after deep inspiration in predicting intraoperative critical incidents in children: a prospective observational study. Annals of Critical Care. 2025;(3):80–90. (In Russ). doi: https://doi.org/10.21320/1818-474X-2025-3-80-90]

19. American Society of Anesthesiologists Statement on ASA Physical Status Classification System. Anesthesiol Open. 2026;1(1):pe0002. doi: https://doi.org/10.1097/ao9.0000000000000002

20. Аleksandrovich YuS, Pshenisnov KV. Preoperative preparation to anesthesia in children. Messenger of Anesthesiology and Resuscitation. 2020;17(3):79–94. (In Russ). doi: https://doi.org/10.21292/2078-5658-2020-17-3-79-94]

21. Garra G, Singer AJ, Taira BR, et al. Validation of the WongBaker FACES Pain Rating Scale in pediatric emergency department patients. Acad Emerg Med. 2010;17(1):50–54. doi: https://doi.org/10.1111/j.1553-2712.2009.00620.x

22. McGrath PA, Seifert CE, Speechley KN, et al. A new analogue scale for assessing children’s pain: an initial validation study. Pain. 1996;64(3):435–443. doi: https://doi.org/10.1016/0304-3959(95)00171-9

23. Eberhart LHJ, Geldner G, Kranke P, et al. The development and validation of a risk score to predict the probability of postoperative vomiting in pediatric patients. Anesth Analg. 2004;99(6):1630–1637. doi: https://doi.org/10.1213/01.ANE.0000135639.57715.6C

24. Crossley AWA, Mahajan RP. The intensity of postoperative shivering is unrelated to axillary temperature. Anaesthesia. 1994;49(3):205–207. doi: https://doi.org/10.1111/j.1365-2044.1994.tb03422.x

25. Sikich N, Lerman J. Development and psychometric evaluation of the Pediatric Anesthesia Emergence Delirium Scale. Anesthesiology. 2004;100(5):1138–1145. doi: https://doi.org/10.1097/00000542-200405000-00015

26. Mehrotra S, Aouad MT, Davies FW. Postoperative anaesthetic concerns in children. Indian J Anaesth. 2019;63(9):763–770. doi: https://doi.org/10.4103/ija.IJA_391_19

27. Pawar D. Common post-operative complications in children. Indian J Anaesth. 2012;56(5):496–501. doi: https://doi.org/10.4103/0019-5049.103970

28. Mason KP. Paediatric emergence delirium: a comprehensive review and interpretation of the literature. Br J Anaesth. 2017;118(3):335–343. doi: https://doi.org/10.1093/bja/aew477

29. Whitley DR, Crow PH, Gore PC, et al. Discerning Post Anesthesia Readiness for Transition (DPART): A Measurement Tool. J Perianesth Nurs. 2020;35(2):160–170. doi: https://doi.org/10.1016/j.jopan.2019.08.007

30. Trembach N, Zabolotskikh I. Breath-holding test in evaluation of peripheral chemoreflex sensitivity in healthy subjects. Respir Physiol Neurobiol. 2017;235:79–84. doi: https://doi.org/10.1016/j.resp.2016.10.008

31. Rabbitts JA, Palermo TM, Zhou C, Mangione-Smith R. Pain and Health-Related Quality of Life After Pediatric Inpatient Surgery. J Pain. 2015;16(12):1334–1341. doi: https://doi.org/10.1016/j.jpain.2015.09.005

32. Urits I, Orhurhu V, Jones MR, et al. Postoperative Nausea and Vomiting in Paediatric Anaesthesia. Turk J Anaesthesiol Reanim. 2020;48(2):88–95. doi: https://doi.org/10.5152/TJAR.2019.67503

33. Han Y, Miao M, Li P, et al. EEG-Parameter-Guided Anesthesia for Prevention of Emergence Delirium in Children. Brain Sci. 2022;12(9):1195. doi: https://doi.org/10.3390/brainsci12091195

34. Alzubaidi AN, Karabayir I, Akbilgic O, Langham MR Jr. Network Analysis of Postoperative Surgical Complications in a Cohort of Children Reported to the National Surgical Quality Improvement Program: Pediatric. Ann Surg. 2022;275(6):1194–1199. doi: https://doi.org/10.1097/SLA.0000000000004234

35. Eijlers R, Utens EMWJ, Staals LM, et al. Systematic Review and Meta-analysis of Virtual Reality in Pediatrics: Effects on Pain and Anxiety. Anesth Analg. 2019;129(5):1344–1353. doi: https://doi.org/10.1213/ANE.0000000000004165

36. Jankovic RJ, Dinic V, Markovic D. Pre and postoperative risk management: the role of scores and biomarkers. Curr Opin Anaesthesiol. 2020;33(3):475–480. doi: https://doi.org/10.1097/ACO.0000000000000855

37. Zhang Q, Deng X, Wang Y, et al. Postoperative complications in Chinese children following dental general anesthesia: A crosssectional study. Medicine (Baltimore). 2020;99(45):e23065. doi: https://doi.org/10.1097/MD.0000000000023065

38. Disma N, Habre W. Postoperative respiratory complications in children: from prediction to clinical action. Br J Anaesth. 2025;134(1):30–31. doi: https://doi.org/10.1016/j.bja.2024.10.001

39. Valencia E, Staffa SJ, Faraoni D, et al. Prospective External Validation of the Pediatric Risk Assessment Score in Predicting Perioperative Mortality in Children Undergoing Noncardiac Surgery. Anesth Analg. 2019;129(4):1014–1020. doi: https://doi.org/10.1213/ANE.0000000000004197

40. Nasr VG, Valencia E, Staffa SJ, et al. Comprehensive Risk Assessment of Morbidity in Pediatric Patients Undergoing Noncardiac Surgery: An Institutional Experience. Anesth Analg. 2020;131(5):1607–1615. doi: https://doi.org/10.1213/ANE.0000000000005157

41. Griffith GJ, Wang AP, Liem RI, et al. Reference Values for Cardiorespiratory Fitness in Patients Aged 6 to 18 Years. J Pediatr. 2024;264:113770. doi: https://doi.org/10.1016/j.jpeds.2023.113770

42. Kosinski SA, Carlson BE, Hummel SL, et al. Computational model-based assessment of baroreflex function from response to Valsalva maneuver. J Appl Physiol (1985). 2018;125(6):1944–1967. doi: https://doi.org/10.1152/japplphysiol.00095.2018


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For citations:


Trembach I.A., Khatit E.S. Breath-Holding Test After Deep Inhalation as a Risk Predictor of Adverse Events After Elective Abdominal Surgery in Children: Prospective Cohort Study. Current Pediatrics. 2026;25(3):154–163. https://doi.org/10.15690/vsp.v25i3.3055

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