Incidence of Post-Operative Sepsis and Role of Charlson Co-Morbidity Score for Predicting Postoperative Sepsis
Abstract
Sepsis and septic shock are among mortality causes following major surgeries. The Charlson co-morbidity index consists of 19 weighted categories related to chronic health which measures the burden of co-morbidity. The goal of this study was to determine the incidence of postoperative sepsis in patients underwent gynecological and gastrointestinal cancer surgeries and predictive role of Charlson index for this situation. Two hundred and twenty-two patients who underwent gynecological and gastrointestinal cancer surgeries were evaluated. Sixty-four (28.6%) patients developed SIRS postoperatively. Forty-four (19.7%) patients developed sepsis postoperatively. Mean age, duration of hospitalization and surgery, the Charlson score were significantly higher in patients who developed sepsis than other cases. Blood transfusion and Charlson score were independent predictors of sepsis occurrence. Charlson co-morbidity index is a predictive factor for developing postoperative sepsis.
Hampshire PA, Guha A, Strong A, et al. An evaluation of the Charlson co-morbidity score for predicting sepsis after elective major surgery. Indian J Crit Care Med 2011;15(1):30-6.
Desborough JP. The stress response to trauma and surgery. Br J Anesth 2000;85(1):109-17.
Lobo SM, Salgado PF, Castillo VnG, et al. Effects of maximizing oxygen delivery on morbidity and mortality in high-risk surgical patients. Crit Care Med 2000;28(10):3396-404.
Madbouly KM, Senagore AJ, Remzi FH, et al.Perioperative blood transfusions increase infectious complications after ileoanal pouch procedures (IPAA). Int J Colorectal Dis 2006;21(8):807-13.
Vamvakas E, Carven J, Hibberd P. Blood transfusion and infection after colorectal cancer surgery. Transfusion 1996;36(11-12):1000-8.
Torchia MG, Danzinger RG. Perioperative blood transfusion and albumin administration are independent risk factors for the development of postoperative infections after colorectal surgery. Can J Surg 2000;43(3):212-6.
Cullen DJ, Apolone G, Greenfield S, et al. ASA Physical Status and age predict morbidity after three surgical procedures. Ann Surg 1994;220(1):3-9.
Behrman SW, Zarzaur BL. Intra-abdominal sepsis following pancreatic resection: incidence, risk factors, diagnosis, microbiology, management, and outcome. Am Surg 2008;74(7):572-9.
Wichmann M, Inthorn D, Andress H-J, et al. Incidence and mortality of severe sepsis in surgical intensive care patients: the influence of patient gender on disease process and outcome. Intensive Care Med 2000;26(2):167-72.
Hotchkiss RS, Karl IE. The pathophysiology and treatment of sepsis. N Engl J Med 2003;348(2):138-50.
Charlson ME, Pompei P, Ales KL, MacKenzie CR. A new method of classifying prognostic comorbidity in longitudinal studies: development and validation. J Chronic Dis 1987;40(5):373-83.
Bone RC, Balk RA, Cerra FB, et al. Definitions for sepsis and organ failure and guidelines for the use of innovative therapies in sepsis. The ACCP/SCCM ConsensusConference Committee. American College of Chest Physicians/Society of Critical Care Medicine. Chest 1992;101(6):1644-55.
Mokart D, Leone M, Sannini A, et al. Predictive perioperative factors for developing severe sepsis after major surgery. Br J Anaesth 2005;95(6):776-81.
Offner PJ, Moore EE, Biffl WL. Male gender is a risk factor for major infections after surgery. Arch Surg 1999;134(9):935-40.
Bader MS. Staphylococcus aureus Bacteremia in Older Adults: Predictors of 7-Day Mortality and Infection With a Methicillin-Resistant Strain. Infect Control Hosp Epidemiol 2006;27(11):1219-25.
| Files | ||
| Issue | Vol 54, No 5 (2016) | |
| Section | Original Article(s) | |
| Keywords | ||
| Sepsis Post operative Iran | ||
| Rights and permissions | |
|
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. |
