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Clinical scale for assessing the risks of complications in pediatric cardiac surgery patients

https://doi.org/10.46563/1560-9561-2023-26-5-314-320

EDN: bvdtsd

Abstract

Introduction. The issue of the stratification of the perioperative risk has an evolutionary character for pediatric cardiac surgery. Mortality-based comorbidity indices worldwide have had mixed success in adjusting for risk in children. Despite numerous attempts to predict perioperative mortality and complications after cardiac surgery in adults, an objective model for predicting risks in children has not been developed. The purpose of the study: to analyze the frequency and structure of comorbidities and conditions in children with cardiac surgical pathology in order to assess the perioperative risks of complications and implement their own prognostic risk scale.

Materials and methods. A comprehensive analysis of five hundred cardiac surgery patients hospitalized in the Department of Cardiac Surgery for the period of 2017–2023 was carried out, and there was studied the autopsy material of 350 patients with congenital heart defects according to the pathoanatomical bureau. Patients underwent standard research methods: echocardiography, chest X-ray, neurosonography and abdominal ultrasound, clinical and laboratory studies, blood for IUI, for procalcitonin, immunogram, angiocardiography, CT and MRI according to indications, bacteriological studies of smears, plain radiography of the abdominal cavity in the standard positions, trepanobiopsy, and genetic studies according to indications.

Results. A classification of common comorbidities in pediatric cardiac surgery patients is presented and a stratification scale of comorbidity is developed. A high incidence of comorbidity in cardiac surgery patients (70%) and its impact on preoperative and postoperative management, timing of surgery and the development of complications, and financial risks are shown. It is shown that, along with the Aristotle cardiac surgical scale, the surgical risk assessment based on comorbidity developed by us improves the awareness of patients’ parents about the prognosis and risks of heart and vascular surgery.

Conclusion. Evaluation of the role of the coexistence of extracardiac congenital malformations, genetic anomalies and syndromes, metabolic diseases in cardiac surgical patients can significantly affect surgical and therapeutic strategies and outcomes. Early identification of children at high risk of complications and death through the use of different stratification scales can lead to improved treatment outcomes.

Contribution:
Sarsenbayeva G.I. — concept and design of the study, writing the text;
Berdibekov A.B. — collection and processing of the material.
All co-authors — approval of the final version of the article, responsibility for the integrity of all parts of the article.

Acknowledgment. The study had no sponsorship.

Conflict of interest. The authors declare no conflict of interest.

Received: July 20, 2023
Accepted: September 12, 2023
Published: October 31, 2023

About the Authors

Gulzhan I. Sarsenbaeva
Scientific Center of Pediatrics and Pediatric Surgery
Kazakhstan

MD, PhD, сardiac surgeon, Scientific Center of Pediatrics and Pediatric Surgery, Almaty, 150045, Republic of Kazakhstan.

e-mail: gulzhan75@mail.ru



Almas В. Berdibekov
Scientific Center of Pediatrics and Pediatric Surgery
Kazakhstan


References

1. Carrascal Y., Guerrero A.L. Neurological damage related to cardiac surgery: pathophysiology, diagnostic tools and prevention strategies. Using actual knowledge for planning the future. Neurologist. 2010; 16(3): 152–64. https://doi.org/10.1097/nrl.0b013e3181bd602b

2. Kuroda K., Kato T.S., Kuwaki K., Kajimoto K., Lee S.L., Yamamoto T., et al. Early postoperative outcome of off-pump coronary artery bypass grafting: a report from the highest-volume center in Japan. Ann. Thorac. Cardiovasc. Surg. 2016; 22(2): 98–107. https://doi.org/10.5761/atcs.oa.15-00152

3. Nicolini F., Maestri F., Fragnito C., Belli L., Malchiodi L., Venazzi A., et al. Early neurological injury after cardiac surgery: insights from a single centre prospective study. Acta Biomed. 2013; 84(1): 44–52.

4. Zanatta P., Benvenuti S.M., Bosco E., Baldanzi F., Palomba D., Valfrè C. Multimodal brain monitoring reduces major neurologic complications in cardiac surgery. J. Cardiothorac. Vasc. Anesth. 2011; 25(6): 1076–85. https://doi.org/10.1053/j.jvca.2011.05.015

5. Jenkins K.J., Gauvreau K. Center-specific differences in mortality: preliminary analyses using the risk adjustment in congenital heart surgery (RACHS-1) method. J. Thorac. Cardiovasc. Surg. 2002; 124(1): 97–104. https://doi.org/10.1067/mtc.2002.122311

6. Jacobs J.P., Jacobs M.L., Lacour-Gayet F.G., Jenkins K.J., Gauvreau K., Bacha E., et al. Stratification of complexity improves the utility and accuracy of outcomes analysis in a multi-institutional congenital heart surgery database: application of the risk adjustment in congenital heart surgery (RACHS-1) and Aristotle systems in the society of thoracic surgeons (STS) congenital heart surgery database. Pediatr. Cardiol. 2009; 30(8): 1117–30. https://doi.org/10.1007/s00246-009-9496-0

7. Rosa R.C., Rosa R.F., Zen P.R., Paskulin G.A. Congenital heart defects and extracardiac malformations. Pediatr. 2013; 31(2): 243–51. https://doi.org/10.1590/s0103-05822013000200017

8. Mohan U.R., Hay A.A., Cleary M.A., Wraith J.E., Patel R.G. Cardiovascular changes in children with mucopolysaccharide disorders. Acta Paediatr. 2002; 91(7): 799–804. https://doi.org/10.1080/08035250213211

9. Kagan M.S., Wang J.T., Pier D.B., Zurakowski D., Jennings R.W., Bajic D. Infant perioperative risk factors and adverse brain findings following long-gap esophageal atresia repair. J. Clin. Med. 2023; 12(5): 1807. https://doi.org/10.3390/jcm12051807

10. Stoll C., Alembik Y., Roth M.P., Dott B., De Geeter B. Risk factors in congenital heart disease. Eur. J. Epidemiol. 1989; 5(3): 382–91. https://doi.org/10.1007/bf00144842

11. Faraoni D., Nasr V.G., DiNardo J.A. Overall hospital cost estimates in children with congenital heart disease: analysis of the 2012 kid’s inpatient database. Pediatr. Cardio. 2016; 37(1): 37–43. https://doi.org/10.1007/s00246-015-1235-0

12. Adkin D.V., Barinshteyn D.B., Nefedova I.E., Baryshnikova I.Yu., Berishvili D.O. Necrotizing enterocolitis in neonates with congenital heart disease after cardiac surgery. Detskie bolezni serdtsa i sosudov. 2016; 13(4): 208–15. https://elibrary.ru/xclqfh (in Russian)

13. Sarsenbaeva G.I., Kim A.I., Berdibekov A.B. Features of the formation of necrotizing enterocolitis in cardiac surgery children patients. Rossiyskiy pediatricheskiy zhurnal. 2023; 26(4): 264–70. https://doi.org/10.46563/1560-9561-2023-26-4-264-270 https://elibrary.ru/wendsr (in Russian)

14. Murugasu B., Yip W.C., Tay J.S., Chan K.Y., Yap H.K., Wong H.B. Sonographic screening for renal tract anomalies associated with congenital heart disease. J. Clin. Ultrasound. 1990; 18(2): 79–83. https://doi.org/10.1002/jcu.1870180203

15. Van Manen J.G., Korevaar J.C., Dekker F.W., Boeschoten E.W., Bossuyt P.M., Krediet R.T. How to adjust for comorbidity in survival studies in ESRD patients: a comparison of different indices. Am. J. Kidney Dis. 2002; 40(1): 82–9. https://doi.org/10.1053/ajkd.2002.33916

16. Volkov S.S., Zelenikin M.A., Vul’f K.A., Narmaniya I.T., Gushchin D.K. Use of the Aristotle basic complexity score to evaluate quality of surgical management in children with congenital heart defects. Byulleten’ NNSSKh im. A.N. Bakuleva RAMN. Serdechno-sosudistye zabolevaniya. 2016; 17(4): 31–42. https://elibrary.ru/wmdlqp (in Russian)

17. Sun J.W., Bourgeois F.T., Haneuse S., Hernández-Díaz S., Landon J.E., Bateman B.T., et al. Development and validation of a pediatric comorbidity index. Am. J. Epidemiol. 2021; 190(5): 918–27. https://doi.org/10.1093/aje/kwaa244

18. Nasr V.G., DiNardo J.A., Faraoni D. Development of a pediatric risk assessment score to predict perioperative mortality in children undergoing noncardiac surgery. Anesth. Analg. 2017; 124(5): 1514–9. https://doi.org/10.1213/ANE.0000000000001541

19. Tejwani R., Lee H.J., Hughes T.L., Hobbs K.T., Aksenov L.I., Scales C.D., et al. Predicting postoperative complications in pediatric surgery: A novel pediatric comorbidity index. J. Pediatr. Urol. 2022; 18(3): 291–301. https://doi.org/10.1016/j.jpurol.2022.03.007

20. Zachariasse J.M., Espina P.R., Borensztajn D.M., Nieboer D., Maconochie I.K., Steyerberg E.W., et al. Improving triage for children with comorbidity using the ED-PEWS: an observational study. Arch. Dis. Child. 2022; 107(3): 229–33. https://doi.org/10.1136/archdischild-2021-322068

21. Benavidez O.J., Connor J.A., Gauvreau K., Jenkins K.J. The contribution of complications to high resource utilization during congenital heart surgery admissions. Congenit. Heart Dis. 2007; 2(5): 319–26. https://doi.org/10.1111/j.1747-0803.2007.00119.x


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For citations:


Sarsenbaeva G.I., Berdibekov A.В. Clinical scale for assessing the risks of complications in pediatric cardiac surgery patients. Russian Pediatric Journal. 2023;26(5):314-320. (In Russ.) https://doi.org/10.46563/1560-9561-2023-26-5-314-320. EDN: bvdtsd

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ISSN 1560-9561 (Print)
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