Postoperative C-reactive protein to albumin ratio as a diagnostic tool for predicting complications after abdominal surgery

THE ROLE OF MARKERS OF SYSTEMIC INFLAMMATORY RESPONSE IN THE POSTOPERATIVE PERIOD. REVIEW

Despite all the achievements of modern surgery, the number of postoperative infectious complications in the world remains high. Their occurrence leads to a longer period of patients’ hospitalization, requires the use of additional medical and diagnostic measures, which ultimately leads to higher treatment costs and significant financial losses in the health care system. Therefore, it is important to identify postoperative complications at an early stage, even before the development of pronounced clinical symptoms, and to predict their possible development in a certain category of patients. For these purposes, scientists try to use various laboratory markers. In this paper, we analyzed both well-known indicators of the inflammatory response, such as: C-reactive protein, albumin, their ratio, procalcitonin and interleukin-6, and relatively new parameters that research teams are trying to apply for these purposes: neutrophil granularity intensity and neutrophil reactivity intensity, pancreatic stone protein and pancreatitis-associated protein. We tried to collect the most complete information available at the moment, evaluate the opinions of researchers, identify contradictions in their works and try to explain their cause. As a result, it turned out that even the markers of inflammation known for many years are not absolutely specific for postoperative infectious complications. We concluded that most of the laboratory parameters described in this article can be used to some extent in the early diagnosis of postoperative infectious complications, but if we want to obtain more complete information in this area of knowledge, it is necessary to conduct new largescale studies.

Diagnostic accuracy of the postoperative C - reactive protein to albumin ratio in prediction of complications after major abdominal surgery

Introduction:

postoperative complications are common after surgery for both benign and malignant disease, and results in infections, extended hospital stay, delayed return to normal status, increased financial burden and long-term morbidity hence early recognition of surgical complications and management is of utmost importance.

Aim:

To assess the predictive value of C-reactive protein to albumin ratio (CAR) and C-reactive protein (CRP) in determining the post-operative complications following major abdominal surgeries.

Methods:

this two-year prospective observational study was carried out at acharya vinoba bhave hospital and risk factors for post-operative complications in 100 eligible patients who were undergone major abdominal surgeries were identified using uni and multivariate analysis. Cut Coff values, PPV, sensitivity and specificity of CAR and CRP was analysed by ROC curve.

Results:

in our study 62% patient developed post-operative complications and CAR on post-op. day three found to be independent risk factor for prediction of post-op. complication and has higher PPV than CRP. CAR cut-off value of 2.16 is associated with more post op complications.

Conclusion:

From our study it can be hypothesized that patients having CAR value of more than 2.16 on post op day 3 should be monitored carefully for development of complications. So that early intervention could reduce the unwanted sequelae associated with it.

The use of APACHE II, SOFA, SAPS 3, C-reactive protein/albumin ratio, and lactate to predict mortality of surgical critically ill patients: A retrospective cohort study

Several prognostic indices have been employed to predict the outcome of surgical critically ill patients. Among them, acute physiology and chronic health evaluation (APACHE) II, sequential organ failure assessment (SOFA) and simplified acute physiology score (SAPS 3) are widely used. It seems that biological markers such as C-reactive protein (CRP), albumin, and blood lactate levels correlate with the degree of inflammation during the immediate postoperative phase and could be used as independent predictors. The objective of this study is to compare the different predictive values of prognostic indices and biological markers in the outcome of 847 surgical patients admitted to the intensive care unit (ICU) in the postoperative phase.The patients were divided into survivors (n = 765, 57.4% males, age 61, interquartile range 51-71) and nonsurvivors (n = 82, 57.3% males, age 70, interquartile range 58-79). APACHE II, APACHE II death probability (DP), SOFA, SAPS 3, SAPS 3 DP, CRP, albumin, and lactate were recorded on ICU admission (first 24 hours). The area under the ROC curve (AUROC) and 95% confidence interval (95% CI) were used to measure the index accuracy to predict mortality.The AUROC and 95% CI for APACHE II, APACHE II DP, SOFA, SAPS 3, SAPS 3 DP, CRP/albumin ratio, CRP, albumin, and lactate were 0.850 (0.824-0.873), 0.855 (0.829-0.878), 0.791 (0.762-0.818), 0.840 (0.813-0.864), 0.840 (0.813-0.864), 0.731 (0.700-0.761), 0.708 (0.676-0.739), 0.697 (0.665-0.728), and 0.601 (0.567-0.634), respectively. The ICU and overall in-hospital mortality were 6.6 and 9.7%, respectively. The APACHE II, APACHE II DP, SAPS 3, SAPS 3 DP, and SOFA scores showed a better performance than CRP/albumin ratio, CRP, albumin, or lactate to predict in-hospital mortality of surgical critically ill patients.Even though all indices were able to discriminate septic from nonseptic patients, only APACHE II, APACHE II DP, SOFA and to a lesser extent SAPS 3, SAPS 3 DP, and blood lactate levels could predict in the first 24-hour ICU admission surgical patients who have survived sepsis.