Risk Assessment of Gram-Negative Sepsis in Cardiac Surgery: From Clinical and Anamnestic Predictors to a Prognostic Model

Keywords: septic complications, open-heart surgery, risk stratification, clinical prediction, preoperative period

Abstract

Gram-negative sepsis remains a serious threat to cardiac surgery patients. The incidence of gram-negative sepsis at the preoperative stage accounts for 10-25 % of all reported cases. In the postoperative period, gram-negative bacteria were responsible for sternal wound infections in 35 % of cases and caused bacteremia in 11 % of cases. Preoperative assessment of the risk of gram-negative sepsis represents an essential component of the clinical strategy in cardiac surgery.

Aim. To investigate the clinical, laboratory, and anamnestic risk factors associated with the development of gram-negative sepsis in cardiac surgery patients, with the goal of constructing a prognostic model to identify high-risk patients at the preoperative stage.

Materials and methods. The study included clinical data from 116 patients who underwent examination and treatment at the M.M. Amosov National Institute of Cardiovascular Surgery of the National Academy of Medical Sciences of Ukraine between January 1, 2020, and January 1, 2025. Inclusion criteria were bacteriological identification of a gram-negative pathogen in blood cultures at any stage of treatment, admission to the intensive care unit (ICU), and age over 18 years.

Results. Multivariate analysis showed that identification of a gram-negative pathogen in a chronic wound at the preoperative stage was most strongly associated with an increased likelihood of sepsis development (OR=18,101.36; 95 % CI: 13.95-23,487,640.00; p<0.05). The presence of more than two intravenous catheters in the ICU significantly increased the risk of gram-negative sepsis (OR=376.86; 95 % CI: 4.15-34,210.14; p<0.05). Use of corticosteroids in the ICU prior to the diagnosis of sepsis increased the odds of developing gram-negative sepsis by 7.55 times (95 % CI: 1.31-43.35; p<0.05). To assess the prognostic performance of the developed multivariate model, a ROC curve was constructed, demonstrating an AUC of 0.96, with a sensitivity of 90 % and a specificity of 90 %.

Conclusions. The study demonstrated that the key independent risk factors for the development of gram-negative sepsis were preoperative colonization of a chronic wound with gram-negative flora, a high frequency of intravascular device use in the ICU, and the immunosuppressive effect of corticosteroid therapy.

References

  1. Erdem H, Ankaralı H, Al-Tawfiq JA, et al. Mortality in surgical site infections post-cardiac surgery: a prospective, international ID-IRI study. Research Square [Preprint]. 2024. Available from: https://doi.org/10.21203/rs.3.rs-4281241/v1
  2. Rudd KE, Johnson SC, Agesa KM, et al. Global, regional, and national sepsis incidence and mortality, 1990–2017: analysis for the Global Burden of Disease Study. Lancet. 2020;395(10219):200–11. Available from: https://doi.org/10.1016/S0140-6736(19)32989-7
  3. Listewnik M, Sielicki P, Mokrzycki K, et al. The use of vacuum-assisted closure in purulent complications and difficult-to-heal wounds in cardiac surgery. Adv Clin Exp Med. 2015;24(4):643–50. Available from: https://doi.org/10.17219/acem/28111
  4. Tan JM, Cannesson M, Feldman JM, et al. Emerging technology and the future of perioperative care: perspectives and recommendations from the 2023 Stoelting Conference of the Anesthesia Patient Safety Foundation. Anesth Analg. 2025;141(1):139–51. Available from: https://doi.org/10.1213/ANE.0000000000007540
  5. Zukowska A, Zukowski M. Surgical site infection in cardiac surgery. J Clin Med. 2022;11(23):6991. Available from: https://doi.org/10.3390/jcm11236991
  6. Nadeem-Tariq A, Kazemeini S, Michelberger M, et al. The role of gut microbiota in orthopedic surgery: a systematic review. Microorganisms. 2025;13(5):1048. Available from: https://doi.org/10.3390/microorganisms13051048
  7. Kollef MH, Bassetti M, Francois B, et al. The intensive care medicine research agenda on multidrug-resistant bacteria, antibiotics, and stewardship. Intensive Care Med. 2017;43(9):1187–97. Available from: https://doi.org/10.1007/s00134-017-4682-7
  8. Wang Y, Wang G, Zhao Y, et al. A deep learning model for predicting multidrug-resistant organism infection in critically ill patients. J Intensive Care. 2023;11(1):49. Available from: https://doi.org/10.1186/s40560-023-00695-y
  9. Advani S, Meddings J, Marschall J, et al. The next frontier of healthcare-associated infection (HAI) surveillance metrics: beyond device-associated infections. Infect Control Hosp Epidemiol. 2024;45(6):693–7. Available from: https://doi.org/10.1017/ice.2023.283
  10. Gominet M, Compain F, Beloin C, et al. Central venous catheters and biofilms: where do we stand in 2017? APMIS. 2017;125(4):365–75. Available from: https://doi.org/10.1111/apm.12665
  11. Keranovic S, Salihovic E, Zrnanovic D, et al. Inotropic and mechanical support of critically ill patient after cardiac surgery. Med Arch. 2020;74(3):236–9. Available from: https://doi.org/10.5455/medarh.2020.74.236-239
  12. Jaml NL, Hafez RM, Khalil MS, et al. Bacterial biofilm development and its relationship with catheter-associated urinary tract infection. Stresses. 2025;5:58. Available from: https://doi.org/10.3390/stresses5030058
  13. Whitlock RP, Devereaux PJ, Teoh KH, et al. Methylprednisolone in patients undergoing cardiopulmonary bypass (SIRS): a randomised, double-blind, placebo-controlled trial. Lancet. 2015;386(10000):1243–53. Available from: https://doi.org/10.1016/S0140-6736(15)00273-1
  14. Banerjee D, Feng J, Sellke FW. Strategies to attenuate maladaptive inflammatory response associated with cardiopulmonary bypass. Front Surg. 2024;11:1224068. Available from: https://doi.org/10.3389/fsurg.2024.1224068
  15. Téblick A, Peeters B, Langouche L, et al. Adrenal function and dysfunction in critically ill patients. Nat Rev Endocrinol. 2019;15(7):417–27. Available from: https://doi.org/10.1038/s41574-019-0185-7
Published
2025-12-25
How to Cite
1.
Chyzh KP, Koltunova HB, Mazur A, Antomonov MY, Verych NM. Risk Assessment of Gram-Negative Sepsis in Cardiac Surgery: From Clinical and Anamnestic Predictors to a Prognostic Model. ujcvs [Internet]. 2025Dec.25 [cited 2025Dec.26];33(4):177-83. Available from: http://cvs.org.ua/index.php/ujcvs/article/view/806
Section
GENERAL ISSUES OF TREATMENT OF PATIENTS WITH CARDIOVASCULAR PATHOLOGY

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