Preoperative C-reactive protein-to-albumin ratio predicts anastomotic leak in elderly patients after curative colorectal surgery

Review of the Predictive Value of Biomarkers in Sepsis Mortality

Sepsis is a leading cause of mortality among severely ill individuals, primarily due to its potential to induce fatal organ dysfunction. For clinicians, it is vital to have appropriate indicators, including the physiological status and personal experiences of patients with sepsis, to monitor the condition and assess prognosis. This approach aids in preventing the worsening of the illness and reduces mortality. Recent guidelines for sepsis focus on improving patient outcomes through early detection and timely treatment. Nonetheless, identifying severe cases and predicting their prognoses remain challenging. In recent years, there has been considerable interest in utilising the C-reactive protein (CRP)/albumin ratio (CAR) to evaluate the condition and forecast the prognosis of patients with sepsis. This research concentrates on the significance of CAR in the pathological process of sepsis, its association with prognosis, and the latest developments in employing procalcitonin, lactic acid, CRP, and other potential biomarkers. The CAR, with its predictive value for sepsis prognosis and mortality, is increasingly used as a clinical biochemical marker in diagnosing and monitoring patients with sepsis.

Tandem Mass Tag-Based Proteomic Profiling Identifies Biomarkers in Drainage Fluid for Early Detection of Anastomotic Leakage after Rectal Cancer Resection

Anastomotic leakage (AL), one of the most severe complications in rectal surgery, is often diagnosed late because of the low specificity of the clinical symptoms and limitations of current clinical investigations. Identification of patients with early AL remains challenging. Here, we explored the protein expression profiles of AL patients to provide potential biomarkers to identify AL in patients who undergo surgery for rectal cancer. We screened differentially expressed proteins (DEPs) in drainage fluid from AL and non-AL patients using a tandem mass tag method. A total of 248 DEPs, including 98 upregulated and 150 downregulated proteins, were identified between AL and non-AL groups. Gene ontology and Kyoto Encyclopedia of Genes and Genomes enrichment analyses suggested that DEPs were enriched in neutrophil degranulation, bacterial infection, proteolysis, hemostasis, and complement and coagulation cascades. The results of enzyme-linked immunosorbent assay validated that the expression of the top three upregulated DEPs, AMY2A, RETN, and CELA3A, was significantly increased in the drainage fluid of AL patients, compared with that of non-AL patients (AMY2A, P = 0.001; RETN, P < 0.0001; and CELA3A, P = 0.023). Thus, our findings provide several potential biomarkers for the early diagnosis of AL after rectal cancer resection.

A novel scoring system for the early detection of anastomotic leakage: bedside leak score-a pilot study

Background

Anastomotic leakage is a major complication in colorectal surgery, resulting in significant morbidity and mortality rates. Despite substantial progress in surgical technique, anastomotic leakage rates remain stable. An early diagnosis of anastomotic leaks was proven to reduce adverse outcomes and improve survival.

Objective

This study aims to find a novel scoring system for detecting anastomotic leaks using inflammatory and nutritional indicators after colorectal surgery. Our purpose was to analyze the diagnostic accuracy of leak scores ( ( CRP POD 3 ) ( CRP POD 1 ) ∗ preoperative albumin level ) in predicting postoperative complications.

Design

The study included colorectal cancer patients who underwent curative surgery at Koc University Hospital between 2014 and 2018. Patients were categorized into two groups depending on the presence of anastomotic leaks and compared in terms of preoperative albumin levels, CRP levels in postoperative days 1 and 3, anastomotic leakage rates, length of hospital stay, and CRP quotient, which was calculated by dividing POD 3 CRP level to POD 1 CRP level. The bedside leak score is calculated by dividing the CRP quotient by the preoperative albumin level. The predictive value of bedside leak score, CRP quotient, and preoperative albumin levels in estimating anastomotic leakage was analyzed, and a cutoff value for the leak score was calculated.

Results

A total of 184 patients were included in the study. The leak score, CRP POD 3-1 ratio, and preoperative albumin levels were found to successfully detect anastomotic leakage. The area under the curve for the leak score was calculated as 0.78. The optimal cutoff value was found to be 50.3 for the bedside leak score, which shows 90.9% sensitivity and 59.3% specificity.

Conclusion

The leak score may represent a valuable diagnostic tool for detecting patients at risk for anastomotic leakage after colorectal surgery and planning a better strategy to reduce morbidity and mortality rates and associated costs. However, further multicenter studies with large cohorts are necessary to confirm these results.

The modified Glasgow Prognostic Score indicates an increased risk of anastomotic leakage after anterior resection for rectal cancer

BACKGROUND

Preoperative inflammation might cause and also be a marker for anastomotic leakage after anterior resection for rectal cancer. Available biomarker indices such as the modified Glasgow Prognostic Score (mGPS) or the C-reactive protein-to-albumin ratio (CAR) may be clinically useful for leakage assessment.

METHODS

Patients who underwent anterior resection for rectal cancer during 2014-2018 from a multicentre retrospective cohort were included. Data from the Swedish Colorectal Cancer registry and chart review at each hospital were collected. In a subset of patients, preoperative laboratory assessments were available, constituting the exposures mGPS and CAR. Anastomotic leakage within 12 months was the outcome. Causally oriented analyses were conducted with adjustment for confounding, as well as predictive models.

RESULTS

A total of 418 patients were eligible for analysis. Most patients had mGPS = 0 (84.7%), while mGPS = 1 (10.8%) and mGPS = 2 (4.5%) were less common. mGPS = 2 (OR: 4.11; 95% CI: 1.69-10.03) seemed to confer anastomotic leakage, while this was not seen for mGPS = 1 (OR 1.09; 95% CI: 0.53-2.25). A cut off point of CAR > 0.36 might be indicative of leakage (OR 2.25; 95% CI: 1.21-4.19). Predictive modelling using mGPS rendered an area-under-the-curve of 0.73 (95% CI: 0.67-0.79) at most.

DISCUSSION

Preoperative inflammation seems to be involved in the development of anastomotic leakage after anterior resection for cancer. Inclusion into prediction models did not result in accurate leakage prediction, but high degrees of systemic inflammation might still be important in clinical decision-making.

Serum and peritoneal biomarkers for the early prediction of symptomatic anastomotic leakage in patients following laparoscopic low anterior resection: A single-center prospective cohort study

BACKGROUND

Anastomotic leakage (AL) is one of the common complications after rectal cancer surgery. This study aimed to evaluate the combination of biomarkers for the early prediction of symptomatic AL after surgery.

METHODS

A prospective cohort study evaluated the serum and peritoneal biomarkers of patients who underwent laparoscopic low anterior resection (Lap LAR) from November 1, 2021, to May 1, 2022. Multivariate-penalized logistic regression was performed to explore the independent biomarker with a P-value <.1, and receiver operating characteristic (ROC) curve was used to analyze the area under the curve (AUC), sensitivity, and specificity of the independent biomarkers. A predictive model for symptomatic AL was built based on the independent biomarkers and was visualized with a nomogram. The calibration curve with the concordance index (c-index) was further applied to evaluate the efficacy of the predictive model.

RESULTS

A total of 157 patients were included in this study, and 7 (4.5%) were diagnosed with symptomatic AL. C-reactive protein/album ratio (CAR) on postoperative day 1 and systemic immune-inflammation index (SII) and peritoneal interleukin-6 (IL-6) on postoperative day 3 were proven to be independent predictors for the early prediction of symptomatic AL. The optimal cutoff values of CAR, SII, and peritoneal IL-6 were 1.04, 916.99, and 26430.09 pg/ml, respectively. Finally, the nomogram, including these predictors, was established, and the c-index of this nomogram was 0.812, indicating that the nomogram could be used for potential clinical reference.

CONCLUSION

The combination of CAR, SII, and peritoneal IL-6 might contribute to the early prediction of symptomatic AL in patients following Lap LAR. Given the limitations of this study and the emergence of other novel biomarkers, multicenter prospective studies are worthy of further exploration.

Prognostic values of the C-reactive protein to albumin ratio and prognostic nutritional index in carotid endarterectomy patients

OBJECTIVES

C-reactive protein to albumin ratio (CAR) and prognostic nutritional index (PNI) are novel parameters with proven prognostic importance in the postoperative outcomes of coronary and peripheral vascular diseases. In this study, we aimed to evaluate the ability of CAR and PNI to predict major cardiac and cerebrovascular events (MACCE) during the postoperative period of Carotid artery endarterectomy (CEA).

METHODS

A total of 505 carotid endarterectomy patients were retrospectively evaluated. Of 505 patients, 23 patients who died and who experienced myocardial infarction or major neurologic complication in the first 30 days after the operation were included in MACCE group (Group 1). The remaining 482 patients were included in Group 2. Receiver operating characteristics (ROC) curve analysis was used to evaluate preoperative serum albumin value, lymphocytes count, PNI, and CAR to predict the MACCE. The DeLong test was used to compare the area below the curve (AUC) with each of these parameters.

RESULTS

CAR (2.48 ± 1.82 and 1.64 ± 1.37) and CRP (9.98 ± 7.42 and 6.81 ± 5.70) values are statistically higher in Group 1 than in Group 2. PNI (41.59 ± 3.11 and 43.54 ± 4.20) and albumin (40.43 ± 3.15 and 42.35 ± 4.15) values were significantly lower in Group 1 than in Group 2. The accuracy of albumin (AUC: 0.669) in the prediction of MACCE was found to be the highest among CAR (AUC: 0.631), PNI (AUC:0.667), and CRP (AUC:0.631).

CONCLUSION

Preoperative nutritional and inflammatory status is significantly associated with post-operative outcomes. PNI and CAR can be used for preoperative evaluation, as CEA is recommended for patients who have low possibility of having postoperative major adverse events.

Pretreatment inflammatory markers predicting treatment outcomes in colorectal cancer

We aimed to review whether pretreatment inflammatory markers reflect the short- and long-term outcomes of patients with colon cancer, rectal cancer, colon and rectal cancers, and metastatic colorectal cancer (CRC). We found that pretreatment complete blood count and blood chemistry tests reflect short-term and long-term oncological outcomes in patients with CRC. Specifically, in patients with colon cancer, hypoalbuminemia was associated with worse postoperative morbidity, mortality, and inferior survival. In patients with rectal cancer, elevated neutrophil-lymphocyte ratio (NLR) and thrombocytosis were associated with postoperative complications, poor overall survival (OS), and disease-free survival (DFS). A high C-reactive protein/albumin ratio (CAR) was associated with poor OS and DFS. In patients with metastatic CRC, increased NLR and platelet-lymphocyte ratio (PLR) were associated with poor OS, DFS, and progression-free survival (PFS). In addition, high CAR and a low albumin/globulin ratio on blood chemistry tests were associated with poor OS and PFS. Although universal cut-off values were not available, various types of pretreatment laboratory markers could be utilized as adjuncts to predict prognosis in patients with CRC.

Preoperative C-reactive protein to albumin ratio predicts anastomotic leakage after esophagectomy for thoracic esophageal cancer: a single-center retrospective cohort study

BACKGROUND

Postoperative anastomotic leakage (AL) is associated with not only prolonged hospital stay and increased medical costs, but also poor prognosis in esophageal cancer. Several studies have addressed the utility of various inflammation-based and/or nutritional markers as predictors for postoperative complications. However, none have been documented as specific predictors for AL in esophageal cancer. We aimed to identify predictors of AL after esophagectomy for thoracic esophageal cancer, focusing on preoperative inflammation-based and/or nutritional markers.

METHODS

We retrospectively analyzed 295 patients who underwent radical esophagectomy for thoracic esophageal squamous cell carcinoma between June 2007 and July 2020. As inflammation-based and/or nutritional markers, Onodera prognostic nutritional index, C-reactive protein (CRP)-to-albumin ratio (CAR) and modified Glasgow prognostic score were investigated. Optimal cut-off values of inflammation-based and/or nutritional markers for AL were determined by receiver operating characteristic curves. Predictors for AL were analyzed by logistic regression modeling.

RESULTS

AL was observed in 34 patients (11.5%). In univariate analyses, preoperative body mass index (≥ 22.1 kg/m²), serum albumin level (≤ 3.8 g/dL), serum CRP level (≥ 0.06 mg/dL), CAR (≥ 0.0139), operation time (> 565 min) and blood loss (≥ 480 mL) were identified as predictors of AL. Multivariate analyses revealed higher preoperative CAR (≥ 0.0139) as an independent predictor of AL (p = 0.048, odds ratio = 3.02, 95% confidence interval 1.01-9.06).

CONCLUSION

Preoperative CAR may provide a useful predictor of AL after esophagectomy for thoracic esophageal squamous cell carcinoma.

Preoperative laboratory testing in elderly patients

PURPOSE OF REVIEW

Preoperative testing in elderly patients is performed to examine the patient's current medical condition in the context of evaluating vulnerabilities and predicting postoperative complications to ensure that all functions recover before surgery. This review focused on preoperative laboratory tests in geriatric patients.

RECENT FINDINGS

Preoperative complete blood count, electrolyte testing, and blood chemistry can predict postoperative complications. Preoperative elevated morning/evening salivary cortisol secretion ratio, C-reactive protein/albumin ratio (CAR), neutrophil/lymphocyte ratios, and preoperative decreased serum albumin level or 25-hydroxyvitamin D levels can predict postoperative cognitive dysfunction. Elevated brain-type natriuretic peptide or serum alkaline phosphatase levels can be biomarkers of major postoperative adverse cardiac events. Decreased preoperative estimated glomerular filtration rates and serum albumin levels can predict acute kidney injury. Hyponatremia, hypocalcemia, and low albumin/fibrinogen ratio predict postoperative complications. Hypoalbuminemia can predict surgical site infection or postoperative mortality after hip fracture surgery. A high CAR can predict anastomotic site leakage and is a risk factor for one-year mortality after hip surgery.

SUMMARY

Preoperative laboratory testing helps predict postoperative adverse complications; thus, a plan of care can be initiated.

C reactive protein to albumin ratio (CAR) as predictor of anastomotic leakage in colorectal surgery

BACKGROUND

Anastomotic leakage (AL) is one of the most severe complications in colorectal surgery. Currently, no predictive biomarkers of AL are available. The aim of this study was to investigate the role of C reactive protein (CRP) to albumin ratio (CAR) as a predictor of AL in patients undergoing elective surgery for colorectal cancer.

MATERIALS AND METHODS

Data on 1183 consecutive patients surgically treated for histologically proven colorectal cancer in the surgical units involved in the study were collected. Data included sex, age, BMI, ASA score, Charlson comorbidity index, localization, histology and stage of the disease, as well as blood tests including albumin and CRP at the 4th postoperative day. Differences in CAR between patients who developed AL and those who did not were analyzed, and the ability of CAR to predict AL was investigated with ROC analysis.

RESULTS

CAR was significantly higher in patients with AL in comparison to those without, at the 4th postoperative day. In ROC analysis CAR showed a good ability in detecting AL (AUC 0.825, 95%CI: 0,786-0,859), greater than those of CRP and albumin alone. CAR also showed a high ability in detecting postoperative deaths (AUC 0.750, 95% CI 0,956-0,987). These findings were confirmed in multivariate analysis including the most relevant risk factors for AL.

CONCLUSION

Our study evidenced that CAR, an inexpensive and widely available laboratory biomarker, adequately predicts AL and death in patients who underwent elective surgery for colorectal cancer.

Predictive and Diagnostic Biomarkers of Anastomotic Leakage: A Precision Medicine Approach for Colorectal Cancer Patients

Development of an anastomotic leak (AL) following intestinal surgery for the treatment of colorectal cancers is a life-threatening complication. Failure of the anastomosis to heal correctly can lead to contamination of the abdomen with intestinal contents and the development of peritonitis. The additional care that these patients require is associated with longer hospitalisation stays and increased economic costs. Patients also have higher morbidity and mortality rates and poorer oncological prognosis. Unfortunately, current practices for AL diagnosis are non-specific, which may delay diagnosis and have a negative impact on patient outcome. To overcome these issues, research is continuing to identify AL diagnostic or predictive biomarkers. In this review, we highlight promising candidate biomarkers including ischaemic metabolites, inflammatory markers and bacteria. Although research has focused on the use of blood or peritoneal fluid samples, we describe the use of implantable medical devices that have been designed to measure biomarkers in peri-anastomotic tissue. Biomarkers that can be used in conjunction with clinical status, routine haematological and biochemical analysis and imaging have the potential to help to deliver a precision medicine package that could significantly enhance a patient's post-operative care and improve outcomes. Although no AL biomarker has yet been validated in large-scale clinical trials, there is confidence that personalised medicine, through biomarker analysis, could be realised for colorectal cancer intestinal resection and anastomosis patients in the years to come.

Predictive value of postoperative C-reactive protein-to-albumin ratio in anastomotic leakage after esophagectomy

Introduction

Among the many possible postoperative complications, anastomotic leakage (AL) is the most common and serious. Therefore, the purpose of this study was to explore the ability of various inflammatory and nutritional markers to predict postoperative AL in patients after esophagectomy.

Methods

A total of 273 patients were retrospectively evaluated and enrolled into this study. Perioperative, surgery-related, tumor-related and laboratory tests data were extracted and analyzed. The discriminatory ability and optimal cut-off value was evaluated according to the receiver operating characteristic (ROC) curve analysis. Univariate and multivariate analyses were performed to access the potential risk factors for AL.

Results

The overall incidence of AL was 12.5% (34/273). C-reactive protein-to-albumin ratio (CRP/ALB ratio) [AUC 0.943 (95% confidence interval (CI) = 0.911–0.976, p <  0.001)] and operation time [AUC 0.747 (95% CI = 0.679–0.815, p <  0.001)] had the greatest discrimination on AL prediction. Multivariate analysis demonstrated that CRP/ALB ratio and operation time were two independent risk factors for AL, and CRP/ALB ratio (OR = 102.909, p <  0.001) had an advantage over operation time (OR = 9.363, p = 0.020; Table 3).

Conclusion

Operation time and postoperative CRP/ALB ratio were two independent predictive indexes for AL. Postoperative CRP/ALB ratio greater than 3.00 indicated a high risk of AL. For patients with abnormal postoperative CRP/ALB ratio, early non-operative treatment or surgical intervention are needed to reduce the serious sequelae of AL.

Neutrophil-to-lymphocyte ratio vs C-reactive protein as early predictors of anastomotic leakage after colorectal surgery: A retrospective cohort study

Introduction

Colorectal surgery (CRS) is associated with high morbidity rates, being anastomotic leakage (AL) one of the most serious complications with an incidence as high as 15%, accounting for up to a third of mortality in these procedures. The identification of pre-clinical markers may allow an early diagnosis and a timely intervention. The objective of the present study was to compare the performance of neutrophil-to-lymphocyte ratio (NLR) vs C-reactive protein (CRP) as early predictors of AL in CRS.

Methods

A retrospectively analyzed consecutive patients who underwent a colorectal surgery with anastomosis from June 2015 to April 2019. Receiver-operating characteristic (ROC) curves were used to find the cutoff points with the best diagnostic performance of AL.

Results

A total of 116 patients were included. From 43 patients (37%) who developed a total of 63 complications, 9 (7.76%) presented with an AL with a median of 8 days (range: 5–9). No significant differences were found for NLR between patients with vs without AL. In contrast, median CRP was significantly higher in patients who subsequently presented with AL, both on day 4 (164 vs 64, p = 0.04) and 5 (94 vs 44, p < 0.001) after surgery. The best predictive performance through ROC curves was found on postoperative day 5, with a CRP value of >54 mg/dL (AUC: 0.81, Sensitivity: 89%, Specificity: 61%).

Conclusions

CRP appears superior to NLR as an early predictor of AL following CRS. The best diagnostic performance was obtained on postoperative day 5 with a cutoff value of >54 mg/dL.

•

In the present study, CRP was found to be superior to NLR as an early predictor of clinically significant AL following CRS.

•

The best predictive performance was obtained at postoperative day 5 with a cutoff value > 54 mg/dL.

•

The importance of this finding may contribute during the hospital stay from the third postoperative day to the early diagnosis of LA.