Clinical prediction score for superficial surgical site infections: Real-life data from a retrospective single-centre analysis of 812 hepatectomies

The incidence of surgical site infections in China

Surgical site infections (SSIs) are a common type of healthcare-associated infection. We performed a literature review to demonstrate the incidence of SSIs in mainland China based on studies since 2010. We included 231 eligible studies with ≥30 postoperative patients, comprising 14 providing overall SSI data regardless of surgical sites and 217 reporting SSIs for a specific site. We found that the overall SSI incidence was 2.91% (median; interquartile range: 1.05%, 4.57%) or 3.18% (pooled; 95% confidence interval: 1.85%, 4.51%) and the SSI incidence varied remarkably according to the surgical site between the lowest (median, 1.00%; pooled, 1.69%) in thyroid surgeries and the highest (median, 14.89%; pooled, 12.54%) in colorectal procedures. We uncovered that Enterobacterales and staphylococci were the most common types of micro-organisms associated with SSIs after various abdominal surgeries and cardiac or neurological procedures, respectively. We identified two, nine, and five studies addressing the impact of SSIs on mortality, the length of stay (LOS) in hospital, and additional healthcare-related economic burden, respectively, all of which demonstrated increased mortality, prolonged LOS, and elevated medical costs associated with SSIs among affected patients. Our findings illustrate that SSIs remain a relatively common, serious threat to patient safety in China, requiring more action. To tackle SSIs, we propose to establish a nationwide network for SSI surveillance using unified criteria with the aid of informatic techniques and to tailor and implement countermeasures based on local data and observation. We highlight that the impact of SSIs in China warrants further study.

Cancer related nutritional and inflammatory markers as predictive parameters of immediate postoperative complications and long-term survival after hepatectomies

BACKGROUND

The overall survival (OS), disease-free survival (DFS) and complications after liver resections is unsatisfactory. Cancer-related malnutrition and inflammation have an effect on survival but not studied/not clear on postoperative complications.

METHODS

We retrospectively analyzed prospectively maintained database of 309 patients. The outcome variables included complications in terms of Clavien-Dindo (CD) Score, OS and DFS; We studied effect of preoperative albumin globulin ratio (AGR), neutrophil to lymphocyte ratio (NLR), platelet to lymphocyte ratio (PLR), and aspartate transaminase to platelet ratio index (APRI) and dynamic change from pre-operative to postoperative value (Delta-AGR, Delta-NLR, Delta-PLR and Delta-APRI) on complications, OS and DFS.

RESULTS

Total 98 patients (31.71%) had postoperative complications. Fifty patients had CD 1 & 2 and 35 (11.33%) had CD 3 & 4, and 13 (4.12%) had mortality (CD 5). Low AGR, high NLR, high PLR and high Delta-AGR and high Delta-APRI predicted increased major complications. Preoperative high NLR predicted worse OS and low AGR predicted worse OS and DFS. Delta-APRI showed trends towards worse OS and DFS.

CONCLUSION

These serum inflammatory markers can predict immediate postoperative complications. Preoperative AGR and preoperative NLR can predict survival after liver resections. High Delta-AGR, which is a new entity, is predicting more postoperative complications and needs further detailed studies.

Clinical prediction score for superficial surgical site infections: Real-life data from a retrospective single-centre analysis of 812 hepatectomies

Superficial surgical site infections (SSIs) are one of the most common postoperative complications of hepatectomy for liver cancer. The objective of this study is to clarify the risk factors and determine a clinical prediction score for SSIs after partial hepatectomy for malignant tumour. A total of 812 consecutive patients were enrolled who underwent partial hepatectomy for liver malignant tumour from January 2017 to December 2017. Univariate and multivariate analyses were conducted to identify the risk factors for SSIs. Clinical prediction score was then constructed using coefficients of identified significant predictors. Risk stratification was then carried out by receiver operating characteristic curve analysis. Of all the 812 patients, SSIs were observed in 31 (3.82%) patients. A multivariate analysis identified four predictors as independent risk factors for SSIs, which were splenomegaly, perioperative blood transfusion, intensive care unit (ICU) admission, and low postoperative serum albumin concentration (<35 g/L). Clinical prediction score ranged from 0 to 4.6 with its discrimination concordance (C) statistic of 0.70 (95% confidence interval [CI] 0.59, 0.81). Risk stratification classified these patients into low, moderate, and high risk in SSIs. This risk score system may credibly stratify the risk of SSIs with relatively high sensitivity and specificity. Splenomegaly, history of blood transfusion, ICU admission, and postoperative serum albumin concentration less than 35 g/L could be used to predict SSIs with acceptable discrimination. This clinical risk score system may be useful in prediction of SSIs after hepatectomy for malignant tumours.