Predictive value of inflammatory markers for postoperative recovery following colorectal surgery

Using inflammatory parameters for safe and early discharge after minimally invasive colorectal surgery for colorectal cancer

BACKGROUND

Minimally invasive surgery has become the gold standard for colorectal cancer treatment. Approximately 40% of patients undergoing elective colorectal resection develop postoperative complications. The median time to clinical diagnosis of a postoperative complication ranges between 5 and 8 days. Early detection of complications can reduce their morbidity and negative impact. This study aims to evaluate the effectiveness of routine postoperative inflammatory markers in predicting early postoperative complications in patients undergoing elective minimally invasive surgery for colorectal cancer.

METHODS

This study was conducted at a single center and is a retrospective analysis of a prospectively mantained database. We included 397 consecutive patients who underwent elective minimally invasive surgery for colorectal cancer between May 2012 and September 2023. Routine inflammatory parameters, including C-reactive protein, Glasgow Prognostic Score, and neutrophil-lymphocyte ratio, were analyzed to identify those associated with postoperative complications. The cutoff values for these markers were determined using receiver-operating characteristic (ROC) curve analysis with the Youden index method.

RESULTS

Of the patients, 29.2% experienced postoperative complications, with major complications (Clavien-Dindo ≥ III) occurring in 11.3%. On postoperative day 3, C-reactive protein level < 125 mg/L, Glasgow Prognostic Score < 2.12, and neutrophil-lymphocyte ratio < 5.26 were significantly associated with lower risk of postoperative complications (p < 0.0001). NLR was the best parameter to identify patients unlikely to experience a postoperative complication on day 3, with a cutoff value of 5.26 and a negative predictive value (NPV) of 83%.

CONCLUSIONS

Neutrophil-lymphocyte ratio, C-reactive protein, and Glasgow Prognostic Score on POD3 can predict postoperative complications in patients who undergoing minimally invasive surgery for colorectal cancer. These inflammatory markers demonstrated high negative predictive value, effectively identifying patients who are unlikely to develop complications and providing valuable information for safe early discharge.

Temperature Measurement Timings and the Fever Detection Rate After Gastrointestinal Surgery: Retrospective Cross-Sectional Study

BACKGROUND

Postoperative fever frequently indicates surgical complications and is commonly used to evaluate the efficacy of interventions against surgical stress. However, the presence of circadian rhythms in body temperature may compromise the accurate detection of fever.

OBJECTIVE

This study aimed to investigate the detection rate of fever under intermittent measurement.

METHODS

We retrospectively reviewed the clinical records of patients who underwent nonemergency gastrointestinal surgery between November 2020 and April 2021. Patients' temperature data were continuously collected every 4 seconds using a wireless axillary thermometer, and fever was defined as a temperature exceeding 38 °C within a day. To simulate intermittent measurement in clinical practice, the body temperature at each hour was selected from the continuously collected temperature dataset. Considering that temperatures are measured multiple times per day, all possible measurement plans using intermittent measurement were composed by combining 1-24 time points from the 24-hour daily cycle. Fever was clinically diagnosed based on the temperature readings at the selected time points per day. The fever detection rates for each plan, with varying measurement times, were listed and ranked.

RESULTS

Based on the temperature data continuously collected by the thermometer, fever occurred in 60 (40.8%) of the 147 included patients within 3 days after surgery. Of the measurement plans that included 1-24 measurements daily, the fever detection rates ranged from 3.3% (2/60) to 85% (51/60). The highest detection rates and corresponding timings for measurement plans with 1, 2, 3, and 4 measurements daily were 38.3% (23/60; at 8 PM), 56.7% (34/60; at 3 AM and 7 or 8 PM), 65% (39/60; at 3 AM, 8 PM, and 10 or 11 PM), and 70% (42/60; at 12 AM, 3 AM, 8 PM, and 11 PM), respectively; and the lowest detection rates were 3.3% (2/60), 6.7% (4/60), 6.7% (4/60), and 8.3% (5/60), respectively. Although fever within 3 days after surgery was not correlated with an increased incidence of postoperative complications (5/60, 8.3% vs 6/87, 6.9%; P=.76), it was correlated with a longer hospital stay (median 7, IQR 6-9 days vs median 6, IQR 5-7 days; P<.001).

CONCLUSIONS

The fever detection rate of the intermittent approach is determined by the timing and frequency of measurement. Measuring at randomly selected time points can miss many fever events after gastrointestinal surgery. However, we can improve the fever detection rate by optimizing the timing and frequency of measurement.

Diagnostic Modalities for Early Detection of Anastomotic Leak After Colorectal Surgery

INTRODUCTION

Anastomotic leak (AL) remains a severe complication following colorectal surgery, leading to increased morbidity and mortality, particularly in cases of delayed diagnosis. Existing diagnostic methods, including computed tomography (CT) scans, contrast enemas, endoscopic examinations, and reoperations can confirm AL but lack strong predictive value. Early detection is crucial for improving patient outcomes, yet a definitive and reliable predictive test, or "gold standard," is still lacking.

METHODS

A comprehensive PubMed review was focused on CT imaging, serum levels of C-reactive protein (CRP), and procalcitonin (PCT) to assess their predictive utility in detecting AL after colorectal resection. Three independent reviewers evaluated eligibility, extracted data, and assessed the methodological quality of the studies.

RESULTS

Summarized in detailed tables, our analysis revealed the effectiveness of both CRP and PCT in the early detection of AL during the postoperative period. CT imaging, capable of identifying fluid collection, pneumoperitoneum, extraluminal contrast extravasation, abscess formation, and other early signs of leak, also proved valuable.

CONCLUSIONS

Considering the variability in findings and statistics across these modalities, our study suggests a personalized, multimodal approach to predicting AL. Integrating CRP and PCT assessments with the diagnostic capabilities of CT imaging provides a nuanced, patient-specific strategy that significantly enhances early detection and management. By tailoring interventions based on individual clinical characteristics, surgeons can optimize patient outcomes, reduce morbidity, and mitigate the consequences associated with AL after colorectal surgery. This approach emphasizes the importance of personalized medicine in surgical care, paving the way for improved patient health outcomes.

Early C-reactive protein after colorectal surgery is not predictive of anastomotic leak: a retrospective cohort study

PURPOSE

Prior studies suggest postoperative C-reactive protein (CRP) trends are sensitive for predicting anastomotic leak (AL) after elective colorectal surgery. However, in the setting of enhanced recovery pathways, multi-day CRP trends may not be feasible. This study aimed to assess the realistic and clinical utility of CRP in prediction of AL.

METHODS

A retrospective review of patients who underwent elective colectomy or proctectomy from January 2019 to October 2020 at a single institution was performed. Comorbidities, operative characteristics, and perioperative outcomes were recorded. CRP was checked routinely on POD1 and on a clinical basis subsequently. The association between 10-point change in CRP-POD1 and AL was evaluated using multivariable logistic regression. The relationships between CRP-POD3, CRP-POD1, and AL were assessed using exploratory analyses.

RESULTS

Among 332 patients, 23 (6.9%) developed AL, of which 9 cases (39%) were diagnosed upon readmission. AL was not associated with mortality. Median length of stay was 3 days (IQR 2-5). Median days to AL diagnosis was 7 (IQR 4-15). Adjusting for diverting stoma, steroid use, diagnosis, and open surgery, each 10-point increase in CRP was associated with increased odds of AL (OR 1.12, 95% CI 1.03-1.21, p=0.008). CRP-POD1 had poor discriminant utility for detecting AL (AUC 0.62, 95% CI = 0.494-0.746; p=0.061).

CONCLUSION

CRP on POD1 is not a reliable method to predict a leak, and trending CRP may not be practical with decreasing lengths of stay in colorectal surgery.

Imaging and Clinical Parameters for Distinction between Infected and Non-Infected Fluid Collections in CT: Prospective Study Using Extended Microbiological Approach

The aim of this investigation was to evaluate predictive CT imaging features and clinical parameters to distinguish infected from sterile fluid collections. Detection of infectious agents by advanced microbiological analysis was used as the reference standard. From April 2018 to October 2019, all patients undergoing CT-guided drainages were prospectively enrolled, if drainage material volume was at least 5 mL. Univariate analysis revealed attenuation (p = 0.001), entrapped gas (p < 0.001), fat stranding (p < 0.001), wall thickness (p < 0.001) and enhancement (p < 0.001) as imaging biomarkers and procalcitonin (p = 0.003) as clinical predictive parameters for infected fluid collections. On multivariate analysis, attenuation > 10 HU (p = 0.038), presence of entrapped gas (p = 0.027) and wall enhancement (p = 0.028) were independent parameters for distinguishing between infected and non-infected fluids. Gas entrapment had high specificity (93%) but low sensitivity (48%), while wall enhancement had high sensitivity (91%) but low specificity (50%). CT attenuation > 10 HU showed intermediate sensitivity (74%) and specificity (70%). Evaluation of the published proposed scoring systems did not improve diagnostic accuracy over independent predictors in our study. In conclusion, this prospective study confirmed that CT attenuation > 10 HU, entrapped gas and wall enhancement are the key imaging features to distinguish infected from sterile fluid collections on CT.

Preoperative C-reactive protein and other inflammatory markers as predictors of postoperative complications in patients with colorectal neoplasia

Background

Inflammatory markers are measured following colorectal surgery to detect postoperative complications. However, the association of these markers preoperatively with subsequent postoperative course has not yet been usefully studied.

Aim

The aim of this study is to assess the ability of preoperative C-reactive protein (CRP) and other inflammatory marker measurements in the prediction of postoperative morbidity after elective colorectal surgery.

Methods

This is a retrospective study which catalogs 218 patients undergoing elective, potentially curative surgery for colorectal neoplasia. Preoperative laboratory results of the full blood count (FBC), C-reactive protein (CRP) and carcinoembryonic antigen (CEA) were recorded. Multivariable analysis was performed to examine preoperative variables against 30-day postoperative complications by type and grade (Clavien-Dindo (CD)), adjusting for age, sex, BMI, smoking status, medical history, open versus laparoscopic operation, and tumor characteristics.

Results

Elevated preoperative CRP (≥ 5 mg/L) was significantly predictive of all-cause mortality, with an OR of 17.0 (p < 0.001) and was the strongest factor to predict a CD morbidity grade ≥ 3 (OR 41.9, p < 0.001). Other factors predictive of CD morbidity grade ≥ 3 included smoking, elevated preoperative platelet count and elevated preoperative neutrophil-lymphocyte ratio (OR 15.6, 8.6, and 6.3 respectively, all p < 0.05). CRP values above 5.5 mg/L were indicative of all-cause morbidity (AUC = 0.871), and values above 17.5 mg/L predicted severe complications (AUC = 0.934).

Conclusions

Elevated preoperative CRP predicts increased postoperative morbidity in this patient cohort. The results herein aid risk and resource stratification and encourage preoperative assessment of inflammatory propensity besides simple sepsis exclusion.

Modified model for predicting early C-reactive protein levels after gastrointestinal surgery: A prospective cohort study

Background

Postoperative serum concentration of C-reactive protein (CRP) is one of the objective quantitative indices integrating the effects of preoperative and intraoperative variables. Higher levels of CRP after gastrointestinal surgery are associated with major postoperative complications. To develop a model for predicting CRP levels on postoperative day (POD) 1 in surgical patients both with and without serious conditions and comorbidities, we modified the previous formula for prediction of CRP levels on POD1, and assessed the accuracy of our modified predictive formula for CRP levels.

Material and methods

Consecutive patients of all ages undergoing gastrointestinal surgery under general anesthesia were enrolled in this single-institution prospective cohort study. We developed a modified predictive formula in a calculation cohort. Next, associations between measured CRP levels on POD1, predicted CRP levels on POD1 using the previous and modified models, and major complications after surgery were examined in a validation cohort.

Results

We obtained the following model in the calculation cohort (n = 222): Modified model for predicting CRP levels on POD1 (mg•dL^-1) = -10.13 + 0.0025 Duration of surgery (min) + 15.9 Mean Nociceptive Response (NR) + 0.66 Preoperative CRP level (mg•dL^-1). In the validation cohort (n = 440), there was a significant association between measured and predicted CRP levels on POD1 (P < 0.001) No significant difference between the measured and predicted CRP levels using the modified model was observed (P = 0.847). There were also significant associations between the predicted CRP levels and major complications after surgery.

Conclusion

CRP levels predicted using duration of surgery, mean NR, and preoperative CRP levels are likely identical to measured CRP levels on POD1, being associated with major complications after gastrointestinal surgery.