|
| Article | Task | Data | Preoperative/postoperative | Method |
|
| Medina-Fernández et al. [1] | Use of CRP identifies postoperative infectious complications in patients undergoing colorectal surgery | Blood tests: CRP, neutrophil-to-lymphocyte ratio (NLR), and white blood cell (WBC) | Postoperative (2 POD) | Multiple linear regression |
|
| Dutta et al. [16] | Examine WCC, albumin, and CRP following esophagogastric cancer resection as a predictor of postoperative surgical site infectious complications | Blood tests: White cell count (WCC), albumin, and CRP | Postoperative (7 POD) | Friedman test and Wilcoxon signed-rank test on medians and ranges |
|
| Platt et al. [17] | Analyze postoperative WCC, albumin, and CRP and their diagnostic accuracy in case of infectious complications. | Blood tests: WCC, albumin, and CRP | Postoperative (7 POD) | Friedman test and Wilcoxon signed-rank test on medians and ranges |
|
| Silvestre et al. [18] | Assess the value of serum CRP and PCT time course in the postoperative setting of elective colorectal surgery with primary anastomosis and its potential in detecting infectious postoperative complications. | Blood tests: CRP and procalcitonin (PCT) | Pre- and postoperative (9 POD) | Student’s t test, Mann–Whitney U test, logistic regression |
|
| Soguero-ruiz et al. [20] | Prediction of SSI with individual blood tests and in a joint model considering linear and nonlinear classifiers, both before and after surgery | Blood tests: hemoglobin, leucocytes, CRP, potassium, sodium, creatinine, ALAT, thrombocytes, albumin, and ALP | Preoperative (20 days) and postoperative (20 POD) | Gaussian process, linear and nonlinear SVM |
|
| Gans et al. [21] | Systematic review | | | |
|
| Ke et al. [22] | The use of dynamic wound data for SSI risk prediction is explored, by exploiting the low-rank property of the spatial-temporal data via the bilinear formulation | Procedure related data as well as clinical data such as smoking, diabetes mellitus, or alcohol use, among others | Postoperative (21 POD) | Bilinear prediction model, projected gradient descent, bounded matrix completion |
|
| Shimizu et al. [27] | The authors investigated the risk factors for SSI in patients who had undergone appendectomy | Blood tests such as CRP, albumin, NLR; the length of the operation, the number of intra-abdominal drains, the term of antibiotic use, the hospital stay, among others; also, clinical background features were considered | Preoperative | Chi-squared test and the Mann–Whitney U test; odds ratio (OR) |
|
| Ortega-deballon et al. [28] | The aim of this study was to look for a relationship between the fatty tissue metabolism measured by adipocytokine levels and the risk of postoperative infection | Blood tests: preoperative plasma levels of eight adipocytokines, cholesterol, triglycerides, insulin, and CRP; furthermore, patient-specific and intraoperative risk factor for infection such as age and sex, among others | Pre- and postoperative | Chi-squared tests or Fisher’s exact tests, Wilcoxon test, Spearman’s correlation coefficients, and the odds ratios |
|
| Mohri et al. [29] | The aim of this study was to examine the association between postoperative infection and preoperative systematic inflammation in patients undergoing resection of gastrointestinal cancer | Blood tests: white cell count, hemoglobin, albumin, CRP; furthermore, age, sex, tumor site, operative approach, and the American Society of Anesthesiologists (ASA) grade | Pre- and postoperative | Chi-squared tests, Wilcoxon rank test; a multiple logistic regression analysis was also considered |
|
| Moyes et al. [30] | The aim was to examine the relationship between the preoperative mGPS (the glasgow prognostic score) and the development of postoperative complications in patients undergoing potentially curative resection for colorectal cancer | Blood tests: white cell count, albumin, and C-reactive protein and clinicopathological characteristics such as age, gender, tumor site, and nodal involvement, among others. | Pre- and postoperative | Mantel–Haenszel (χ2) test for trend, logistic regression analysis |
|
| Cappabianca et al. [31] | The study objective was to evaluate the effect of CRP on short-term and midterm outcome after cardiac surgery | Preoperative patient profile, including features such as diabetes, body mass index, and smoking history, among others; this type of surgery was also considered | Pre- and postoperative | χ2 test, shapiro–Wilk test, kaplan–meier curves, and the log-rank test, logistic regression and cox model |
|
| Mujagic et al. [32] | This study examines the association between preoperative biochemical markers and the risk of SSI | Blood tests: hemoglobin, creatinine, albumin, CRP, and white blood cell count; and other baseline features such as ASA and diabetes, among others. | Pre- and postoperative | Fisher’s exact test, t-test, kruskal-Wallis test, logistic regression |
|
