Prognostic value of postoperative complication for early recurrence after curative resection of hepatocellular carcinoma

Assessing textbook outcome after single large hepatocellular carcinoma resection

BACKGROUND

This study aimed to investigate the impact and predictors of an ideal surgical care following SLHCC resection.

METHODS

SLHCC patients who underwent LR in two tertiary hepatobiliary centers between 2000 and 2021 were retrieved from prospectively maintained databases. The quality of surgical care was measured by the textbook outcome (TO). Tumor burden was defined by the tumor burden score (TBS). Factors associated with TO were determined on multivariate analysis. The impact of TO on oncological outcomes was assessed using Cox regressions.

RESULTS

Overall, 103 SLHCC patients were included. Laparoscopic approach was considered in 65 (63.1%) patients and 79 (76.7%) patients presented with moderate TBS. TO was achieved in 54 (52.4%) patients. Laparoscopic approach was independently associated with TO (OR 2.57; 95% CI 1.03-6.64; p = 0.045). Within 19 (6-38) months of median follow up, patients who achieved TO had better OS compared to non-TO patients (1-year OS: 91.7% vs. 66.9%; 5-year OS: 83.4% vs. 37.0%, p < 0.0001). On multivariate analysis, TO was independently associated with improved OS, especially in non-cirrhotic patients (HR 0.11; 95% CI 0.02-0.52, p = 0.005).

CONCLUSIONS

TO achievement could be a relevant surrogate marker of improved oncological care following SLHCC resection in non-cirrhotic patients.

Pre-operative MRI features predict early post-operative recurrence of hepatocellular carcinoma with different degrees of pathological differentiation

PURPOSE

To investigate the value of pre-operative gadoxetate disodium (Gd-EOB-DTPA) enhanced MRI predicting early post-operative recurrence (< 2 years) of hepatocellular carcinoma (HCC) with different degrees of pathological differentiation.

METHODS

Retrospective analysis of pre-operative MR imaging features of 177 patients diagnosed as suffering from HCC and that underwent radical resection. Multivariate logistic regression assessment was adopted to assess predictors for HCC recurrence with different degrees of pathological differentiation. The area under the curve (AUC) of receiver operating characteristics (ROC) was utilized to assess the diagnostic efficacy of the predictors.

RESULTS

Among the 177 patients, 155 (87.5%) were males, 22 (12.5%) were females; the mean age was 49.97 ± 10.71 years. Among the predictors of early post-operative recurrence of highly-differentiated HCC were an unsmooth tumor margin and an incomplete/without tumor capsule (p = 0.037 and 0.033, respectively) whereas those of early post-operative recurrence of moderately-differentiated HCC were incomplete/without tumor capsule, peritumoral enhancement along with peritumoral hypointensity (p = 0.006, 0.046 and 0.004, respectively). The predictors of early post-operative recurrence of poorly-differentiated HCC were peritumoral enhancement, peritumoral hypointensity, and tumor thrombosis (p = 0.033, 0.006 and 0.021, respectively). The AUCs of the multi-predictor diagnosis of early post-operative recurrence of highly-, moderately-, and poorly-differentiated HCC were 0.841, 0.873, and 0.875, respectively. The AUCs of the multi-predictor diagnosis were each higher than for those predicted separately.

CONCLUSIONS

The imaging parameters for predicting early post-operative recurrence of HCC with different degrees of pathological differentiation were different and combining these predictors can improve the diagnostic efficacy of early post-operative HCC recurrence.

Preoperative prediction of early recurrence of HBV-related hepatocellular carcinoma (≤5 cm) by visceral adipose tissue index

Background

This study aimed to investigate whether visceral adipose tissue index (VATI) is a significant risk factor for the early recurrence (ER) of HBV-related hepatocellular carcinoma (HCC) (≤5 cm) after hepatectomy.

Methods

The recruited cohort patients who were positive for hepatitis B virus, presented with surgically confirmed HCC (≤5 cm) from Army Medical University (internal training cohort: n = 192) and Chongqing Medical University (external validation group: n = 46). We measured VATI, subcutaneous adipose tissue index (SATI) via computed tomography (CT). ER was defined as recurrence within 2 years after hepatectomy. The impact of parameters on outcome after hepatectomy for HCC was analyzed.

Results

Univariate analysis showed that alpha-fetoprotein levels (p = 0.044), body mass index (BMI) (p < 0.001), SATI (p < 0.001), and VATI (p < 0.001) were significantly different between ER and non-ER groups in internal training cohort. Multivariate analysis identified VATI as an independent risk factor for ER (odds ratio = 1.07, 95% confidence interval: 1.047-1.094, p < 0.001), with a AUC of 0.802, based on the cut-off value of VATI, which was divided into high risk (≥37.45 cm²/m²) and low risk (<37.45 cm²/m²) groups. The prognosis of low risk group was significantly higher than that of high risk group (p < 0.001). The AUC value of VATI in external validation group was 0.854.

Conclusion

VATI was an independent risk factor for the ER, and higher VATI was closely related to poor outcomes after hepatectomy for HBV-related HCC (≤5 cm).

A Web-Based Prediction Model for Estimating the Probability of Post-hepatectomy Major Complications in Patients with Hepatocellular Carcinoma: A Multicenter Study from a Hepatitis B Virus-Endemic Area

BACKGROUND

The identification of patients at high risk of developing postoperative complications is important to improve surgical safety. We sought to develop an individualized tool to predict post-hepatectomy major complications in hepatitis B virus (HBV)-infected patients with hepatocellular carcinoma (HCC).

METHODS

A multicenter database of patients undergoing hepatectomy for HCC were analyzed; 2/3 and 1/3 of patients were assigned to the training and validation cohorts, respectively. Independent risks of postoperative 30-day major complications (Clavien-Dindo grades III-V) were identified and used to construct a web-based prediction model, which predictive accuracy was assessed using C-index and calibration curves, which was further validated by the validation cohort and compared with conventional scores.

RESULTS

Among 2762 patients, 391 (14.2%) developed major complications after hepatectomy. Diabetes mellitus, concurrent hepatitis C virus infection, HCC beyond the Milan criteria, cirrhosis, preoperative HBV-DNA level, albumin-bilirubin (ALBI), and aspartate transaminase to platelet ratio index (APRI) were identified as independent predictors of developing major complications, which were used to construct the online calculator ( http://www.asapcalculate.top/Cal11_en.html ). This model demonstrated good calibration and discrimination, with the C-indexes of 0.752 and 0.743 in the training and validation cohorts, respectively, which were significantly higher than those conventional scores (the training and validation cohorts: 0.565 ~ 0.650 and 0.568 ~ 0.614, all P < 0.001).

CONCLUSIONS

A web-based prediction model was developed to predict the probability of post-hepatectomy major complications in an individual HBV-infected patient with HCC. It can be used easily in the real-world clinical setting to help management-related decision-making and early warning, especially in areas with endemic HBV infection.

A Multiparametric Fusion Radiomics Signature Based on Contrast-Enhanced MRI for Predicting Early Recurrence of Hepatocellular Carcinoma

Objectives

The postoperative early recurrence (ER) rate of hepatocellular carcinoma (HCC) is 50%, and no highly reliable predictive tool has been developed yet. The aim of this study was to develop and validate a predictive model with radiomics analysis based on multiparametric magnetic resonance (MR) images to predict early recurrence of HCC.

Methods

In total, 302 patients (training dataset: n = 211; validation dataset: n = 91) with pathologically confirmed HCC who underwent preoperative MR imaging were enrolled in this study. Three-dimensional regions of interest of the entire lesion were accessed by manually drawing along the tumor margins on the multiple sequences of MR images. Least absolute shrinkage and selection operator Cox regression were then applied to select ER-related radiomics features and construct radiomics signatures. Univariate analysis and multivariate Cox regression analysis were used to identify the significant clinico-radiological factors and establish a clinico-radiological model. A predictive model of ER incorporating the fusion radiomics signature and clinico-radiological risk factors was constructed. The diagnostic performance and clinical utility of this model were measured by receiver-operating characteristic (ROC), calibration curve, and decision curve analyses.

Results

The fusion radiomics signature consisting of 6 radiomics features achieved good prediction performance (training dataset: AUC = 0.85, validation dataset: AUC = 0.79). The predictive model of ER integrating clinico-radiological risk factors and the fusion radiomics signature improved the prediction efficacy with AUCs of 0.91 and 0.87 in the training and validation datasets, respectively. Furthermore, the nomogram and ER risk stratification system based on the predictive model demonstrated encouraging predictions of the individualized risk of ER and gave three risk groups with low, intermediate, or high risk of ER.

Conclusions

The proposed predictive model incorporating clinico-radiological factors and the fusion radiomics signature derived from multiparametric MR images may be an effective tool for the individualized prediction of postoperative ER in patients with HCC.

Major postoperative complications are associated with early recurrence of hepatocellular carcinoma following hepatectomy

BACKGROUND AND AIM

Early recurrence (ER) is a strong predictor of poor prognosis in patients with hepatocellular carcinoma (HCC) after hepatectomy. The aim of this study was to examine manageable factors associated with ER.

METHODS

Overall, 475 consecutive patients with primary HCC who underwent curative hepatectomy were included (R0/R1). We defined ER as recurrence within 2 years after hepatectomy and analyzed predictors for ER. We also defined postoperative complication as Clavien-Dindo classification grade III or IV.

RESULTS

ER after hepatectomy was observed in 209 cases (44.0%). Patients with ER had a significantly poor prognosis compared with those with late recurrence (log-rank p < 0.0001) and were more likely to be diagnosed with extrahepatic metastasis (p = 0.009). Significant predictors for ER were des-γ-carboxyprothrombin > 40 mAU/mL (odds ratio (OR) 2.06, 95% confidence interval (CI) 1.36-3.14, p = 0.001), multiple tumors (OR 2.80 95%CI 1.83-4.32, p < 0.0001), cirrhosis (OR 1.53, 95%CI 1.01-2.32, p = 0.043), and postoperative complications (OR 1.72, 95% CI 1.05-2.85, p = 0.032). Blood loss (OR 1.09, 95%CI 1.05-1.13, p < 0.0001) and cirrhosis (OR 1.74, 95%CI 1.05-2.86, p = 0.031) were significant predictors for postoperative complications.

CONCLUSIONS

We should pay close attention to surgical associated- and disease-specific factors in hepatectomy for HCC to prevent ER.

MRI-Based Radiomics: Nomograms predicting the short-term response after transcatheter arterial chemoembolization (TACE) in hepatocellular carcinoma patients with diameter less than 5 cm

PURPOSE

To construct MRI radiomics nomograms that can predict short-term response after TACE in HCC patients with diameter less than 5 cm.

METHODS

MRI images and clinical data of 153 cases with tumor diameter less than 5 cm before TACE from 3 hospitals were collected retrospectively and divided into 1 internal training set and 1 external validation set. The T2-weighted imaging (T2WI) and dynamic contrast-enhanced MRI arterial phase (DCE-MR AP) images were studied. Multivariable logistic regression was used to construct Radiomics models, Clinics models, and Nomograms based on T2WI and DCE-MR AP, respectively. The receiver characteristic curve (ROC) was used to evaluate the predictive performance of each model.

RESULTS

In this study, 113 eligible cases in Hospital 1 were collected as the training set, and 40 eligible cases in other hospitals were used as the verification set. 11 T2WI features and 11 DCE-MRI AP features with the most predictive value were finally screened. 3 models based on T2WI and 3 models based on DCE-MRI AP were established, respectively. The area under curve (AUC) value of Nomogram based on T2WI of training set and validation set was 0.83 and 0.81, respectively. The AUC value of the models based on T2WI and models based on AP was almost equal, and Nomograms were the most effective models among all three types of models.

CONCLUSION

MRI-based Nomogram has greater predictive efficacy to predict the response after TACE than Radiomics and Clinics models alone, and the efficacy of T2WI-based models and DCE-MRI AP-based models was almost equal.

Impact of Postoperative Complications on Long-Term Survival After Resection of Hepatocellular Carcinoma: A Systematic Review and Meta-Analysis

BACKGROUND

Controversy exists over the relationship between postoperative complications (POCs) and long-term survival for hepatocellular carcinoma (HCC) after hepatectomy. This study aimed to evaluate the impact of POCs on overall survival (OS) and disease-free survival (DFS) for HCC after liver resection.

PATIENTS AND METHODS

The PubMed, EMBASE, and Cochrane Library databases were used to search for eligible studies published through 18 April 2020, and studies comparing the long-term outcomes between HCC patients with and without POCs after hepatectomy were included. A random-effects model was used to calculate the pooled hazard ratio (HR) with a 95% confidence interval (CI). Subgroup analysis and meta-regression were performed to assess the potential influence of study-, patient-, and tumor-related factors on the relationship between POCs and oncologic outcomes and to adjust their effect. This study was registered at the International Prospective Register of Systematic Reviews (CRD42019136109).

RESULTS

Thirty-seven studies, including 14,096 patients, were deemed eligible and included in this study. Compared with those without POCs, patients who developed POCs had a significant reduction in OS (HR 1.39, 95% CI 1.28-1.50, P < 0.001; prediction interval 1.04-1.85) and tended to have worse DFS (HR 1.25, 95% CI 1.16-1.35, P < 0.001; prediction interval 0.98-1.60). Contour-enhanced funnel plots suggested a risk of publication bias. Subgroup analysis and meta-regression showed that POCs remained a threat to OS and DFS regardless of the influence of clinicopathological factors.

CONCLUSION

This study demonstrated that POCs had an adverse impact on OS and DFS in HCC patients after liver resection.

Postoperative morbidity adversely impacts long-term oncologic prognosis following hepatectomy for hepatocellular carcinoma: A multicenter observational study

BACKGROUND & AIMS

Postoperative morbidity following hepatectomy for hepatocellular carcinoma (HCC) is common and its impact on long-term oncological outcome remains unclear. This study aimed to investigate if postoperative morbidity impacts long-term survival and recurrence following hepatectomy for HCC.

METHODS

The data from a multicenter Chinese database of curative-intent hepatectomy for HCC were analyzed, and independent risks of postoperative 30-day morbidity were identified. After excluding patients with postoperative early deaths (≤90 days), early (≤2 years) and late (>2 years) recurrence rates, overall survival (OS), and time-to-recurrence (TTR) were compared between patients with and without postoperative morbidity.

RESULTS

Among 2,161 patients eligible for the study, 758 (35.1%) had postoperative 30-day morbidity. Multivariable logistic regression analysis showed that diabetes mellitus, obesity, Child-Pugh grade B, cirrhosis, and intraoperative blood transfusion were independent risks of postoperative morbidity. The rates of early and late recurrence among patients with postoperative morbidity were higher than those without (50.7% vs. 38.8%, P < 0.001; and 41.7% vs. 34.1%, P = 0.017). Postoperative morbidity was associated with decreased OS (median: 48.1 vs. 91.6 months, P < 0.001) and TTR (median: 19.8 vs. 46.1 months; P < 0.001). After adjustment of confounding factors, multivariable Cox-regression analyses revealed that postoperative morbidity was associated with a 27.8% and 18.7% greater likelihood of mortality (hazard ratio 1.278; 95% confidence interval: 1.126-1.451; P < 0.001) and recurrence (1.187; 1.058-1.331; P = 0.004).

CONCLUSION

This large multicenter study provides strong evidence that postoperative morbidity adversely impacts long-term oncologic prognosis after hepatectomy for HCC. The prevention and management of postoperative morbidity may be oncologically important.

Laparoscopic Versus Open Liver Resection for Hepatocellular Carcinoma: A Case Controlled Study with Propensity Score Matching

BACKGROUND

Several studies have suggested that laparoscopic liver resection (LLR) is associated with fewer postoperative complications than open liver resection (OLR) for hepatocellular carcinoma (HCC). However, this issue remains controversial since the data may have been attributable to an imbalance in patients' background.

METHODS

We retrospectively analyzed 290 hepatectomies for HCC undertaken between 2011 and 2019. Liver resection difficulty was based on the 3 levels of the Institut Mutualiste Montsouris classification. Resection ratio was calculated using computed tomography volumetry. Patient characteristics were compared between the LLR and OLR groups. Propensity score matching (PSM) was adopted to adjust the imbalance between the cohorts, and the incidence of postoperative complications was compared.

RESULTS

The difficulty and resection ratio were significantly lower in LLR (n = 112) than in OLR (n = 178) (difficulty grade I/II/III: 84/10/18 vs. 43/39/96, p < 0.001; resection ratio: 11.4 ± 12.7 vs. 22.7 ± 17.2%, p < 0.001). The incidence of postoperative complications (Clavien-Dindo grade III or more) was lower in LLR (2.7% vs. 21.9%, p < 0.001), which was mainly attributable to fewer incidences of ascites and pleural effusion. PSM generated 68 well-matched patients in each group. The lower incidence of postoperative complications in LLR was also maintained in the PSM cohort (2.9% vs. 16.2%, p = 0.017). On multivariate analysis, LLR was the independent predictor of postoperative complications (OR 0.184, 95% CI 0.051-0.672, p = 0.010).

CONCLUSION

The present study demonstrated that a laparoscopic approach reduces the incidence of postoperative complications in liver resection for HCC.

Clinical Significance of Serum Antithrombin III Activity After Hepatectomy for Hepatocellular Carcinoma

Background

As antithrombin III (AT-III) is produced in the hepatocytes, its serum activity decreases at the time of liver failure, in addition to ischemia reperfusion injury, vascular endothelial dysfunction, and disseminated intravascular coagulation (DIC). Here, we examined whether the serum AT-III value after hepatectomy could be a prognostic factor for hepatocellular carcinoma (HCC).

Methods

Of 141 patients who underwent hepatectomy for HCC, data for 101 patients in whom serum AT-III activity was measured on the first postoperative day were extracted. Patients with serum AT-III activity > 50% and ≤ 50% were assigned to high value (72 cases) and low value (29 cases) groups, respectively. We examined the clinical and prognostic differences between these two groups.

Results

The average age of enrolled patients (83 men and 18 women) was 68.0 years. The 5-year overall survival rate was 88% and 60% in the high and low value groups, respectively (P < 0.01). Furthermore, the 2-year relapse-free survival rate was 71% and 54% in the high and low value groups, respectively (P = 0.03).

Conclusion

This is the first study to demonstrate that serum AT-III levels on the first postoperative day may serve as a prognostic factor in HCC patients.

A novel online calculator based on albumin-bilirubin and aspartate transaminase-to-platelet ratio index for predicting postoperative morbidity following hepatectomy for hepatocellular carcinoma

Email

zhangchengwuzr@hotmail.com; Prof. Tian Yang, MD. Department of Hepatobiliary Surgery, Eastern Hepatobiliary Surgery Hospital, Navy Medical University, Shanghai 200438, China. Email: yangtiandfgd@hotmail.com.

Background

Identifying patients at high risks of developing postoperative morbidity is important to improve perioperative outcomes. We sought to define the accuracy of two objective and non-invasive serological-based scores, i.e., albumin-bilirubin (ALBI) and aspartate transaminase-to-platelet ratio index (APRI), to predict postoperative morbidity among patients undergoing hepatectomy for hepatocellular carcinoma (HCC), and build up a personalized predictive tool for clinical practice.

Methods

Clinical data of patients who underwent hepatectomy for HCC at 8 hospitals from a multicenter database were retrospectively analyzed. The predictive accuracy of ALBI and APRI relative to 30-day overall and major morbidity were evaluated using area under the receiver operating characteristic curves (AUC). Based on multivariable logistic regression analyses, preoperative and postoperative nomogram models and consequent online calculators were constructed to predict overall and major morbidity, respectively.

Results

Among 2,301 patients, 725 (31.5%) experienced postoperative complications (major morbidity, 35.9%, 260/725). Multivariable analyses identified high ALBI grade (>−2.6) and APRI grade (>1.5) as independent risk factors associated with overall and major morbidity in both preoperative and postoperative prediction models. Two nomogram predictive models and corresponding online calculators that combined ALBI and APRI were subsequently constructed. The AUCs of the preoperative and postoperative models were 0.728 and 0.742 to predict overall morbidity, and 0.739 and 0.713 to predict major morbidity, respectively, which were much higher than those of Child-Pugh score and the model for end-stage liver disease (MELD). Using the bootstrap validation method, the resulting models were internally validated well.

Conclusions

Preoperative ALBI and APRI scores can predict postoperative morbidity following hepatectomy for HCC. An easy-to-use online calculator that combined ALBI and APRI was proposed for individually predicting the probabilities of postoperative overall and major morbidity before and immediately after surgery, so as to provide useful information to inform conversations about surgical risks.

Postoperative pancreatic fistulas decrease the survival of pancreatic cancer patients treated with surgery after neoadjuvant chemoradiotherapy: A retrospective analysis

BACKGROUND AND OBJECTIVES

A postoperative pancreatic fistula (POPF) is a critical complication after surgery for pancreatic cancer. Whether a POPF affects the long-term prognosis of pancreatic cancer cases remains controversial. This study aimed to clarify the effect of a POPF on the long-term prognosis of pancreatic cancer patients, especially after neoadjuvant chemoradiotherapy (NACRT).

METHODS

Patients who underwent curative pancreatectomy for pancreatic cancer between January 2012 and June 2019 at Kyoto University Hospital were retrospectively investigated. A fistula ≥ Grade B was considered a POPF.

RESULTS

During the study period, 148 patients underwent upfront surgery (Upfront group), and 52 patients underwent surgery after NACRT (NACRT group). A POPF developed in 16% of patients in the Upfront group and 13% in the NACRT group (p = 0.824). In the Upfront group, development of a POPF did not have a significant effect on recurrence-free survival (p = 0.766) or overall survival (p = 0.863). However, in the NACRT group, development of a POPF significantly decreased recurrence-free survival (HR 5.856, p = 0.002) and overall survival (HR 7.097, p = 0.020) on multivariate analysis.

CONCLUSIONS

The development of a POPF decreases the survival of pancreatic cancer patients treated by surgery after NACRT.

Predictors of post-operative complications after surgical resection of hepatocellular carcinoma and their prognostic effects on outcome and survival: A propensity-score matched and structural equation modelling study

INTRODUCTION

Although hepatectomy is the mainstay of curative therapy for hepatocellular carcinoma (HCC), post-operative complications remain high. Presently there is conflicting data on the impact of morbidity on oncologic outcomes. We sought to identify predictors for the occurrence of post-hepatectomy complications, as well as to analyse the impact on overall survival (OS) and recurrence-free survival (RFS).

MATERIALS AND METHODS

We performed a retrospective review of 888 patients who underwent resection for HCC from 2001 to 2016 in our institution.

RESULTS

A total of 237 patients (26.7%) developed 254 complications of Clavien-Dindo Grade ≥2. Hepatitis B (p = 0.0397), elevated ASA score (p = 0.0002), higher platelet counts (p = 0.0277), raised pre-operative APRI scores (p = 0.0105) and bloodloss (p < 0.0001) were independently associated with the development of complications. After propensity-score matching, 458 patients were compared in a 1:1 ratio (229 with complications versus 229 without). Patients with complications had significantly longer median length of stay (9 days [IQR 7-15] versus 6 days [IQR 5-8], p < 0.0001), higher 90-day mortality rates as well as inferior OS (p = 0.0139), but there was no difference in RFS (p = 0.4577). Age (p = 0.0006), elevated Child Pugh points (p < 0.0001), microvascular invasion (p = 0.0002), multifocal tumours (p = 0.0002), R1 resection (p = 0.0443) and development of complications (p = 0.0091) were independent predictors of inferior OS.

CONCLUSION

Post-operative morbidity affected both short-term and OS outcomes after hepatectomy for HCC. Hepatitis B, higher ASA scores, elevated preoperative APRI and increased blood loss were found to predict a higher likelihood of developing complications. This may potentially be mitigated by careful patient selection and adopting strict measures to minimise intraoperative bleeding.

Prediction of early C-reactive protein levels after non-cardiac surgery under general anesthesia

Background

Early detection of postoperative increase in C-reactive protein (CRP) correlates with postoperative complications. The present study examined the association between preoperative / intraoperative factors and postoperative CRP levels, with development and validation of a prediction model of early postoperative CRP level, for prophylactic management of postoperative complications in patients undergoing surgery under general anesthesia.

Material and methods

Multivariate regression analysis was retrospectively performed to determine the independent factor of CRP levels on postoperative day (POD) 1 and to develop a prediction model. Validation of the prediction model was prospectively performed. Data from 316 adult patients on perioperative variables were retrospectively obtained in a training cohort in patients undergoing elective non-cardiac surgery. In a validation cohort, 88 patients undergoing mastectomy and 68 patients undergoing laparoscopic colon surgery were prospectively utilized to evaluate the value of the prediction model. Major complications after surgery were defined as the Clavien-Dindo grade IIIa or greater.

Results

Duration of surgery, mean nociceptive response (NR) during surgery as intraoperative nociception level, and preoperative CRP level were selected to set up the prediction model of CRP level on POD1 (P < 0.0001). In the validation cohort, the predicted CRP levels on POD1 significantly correlated with the measured CRP after mastectomy (P < 0.0001) and laparoscopic colon surgery (P = 0.0001). Receiver-operating characteristic curve analysis showed that the predicted CRP levels on POD1 was significantly associated with major complications after mastectomy (P = 0.0259) and laparoscopic colon surgery (P = 0.0049). The measured and predicted CRP levels significantly increased in the order of severity of postoperative complications (P < 0.01).

Conclusion

Increases in duration of surgery, intraoperative nociceptive level and preoperative CRP level were selected to predict early increases in CRP level after non-cardiac surgery under general anesthesia. Predicted CRP levels on POD1 were likely associated with severity of postoperative complications.

Preoperative Mac-2 binding protein glycosylation isomer level predicts postoperative ascites in patients with hepatic resection for hepatocellular carcinoma

AIM

Postoperative ascites is one of the most common complications after hepatic resection and is related to liver fibrosis. Mac-2 binding protein glycosylation isomer (M2BPGi) is a reliable and non-invasive marker for assessing liver fibrosis. This study aimed to evaluate whether preoperative M2BPGi level can predict postoperative refractory ascites in patients with curative hepatic resection for hepatocellular carcinoma.

METHODS

The present study retrospectively evaluated 59 patients between January 2016 and June 2018. We assessed the relationship between preoperative M2BPGi levels, expressed as the cut-off index, and postoperative ascites.

RESULTS

The median M2BPGi level was 1.36 (range 0.34-11.56). Postoperative ascites occurred in seven patients (11.9%). Among them, refractory ascites, defined as diuretic-resistant ascites, occurred in four patients (6.8%). Uni- and multivariate analysis showed that preoperative M2BPGi level was the only independent risk factor of postoperative ascites (odds ratio 3.28, P = 0.033). The cut-off values of M2BPGi for postoperative ascites and refractory ascites were 2.41 and 3.10, respectively. Remarkably, there were no patients with postoperative ascites and refractory ascites when the preoperative M2BPGi levels were less than each cut-off value.

CONCLUSION

Our results suggest that M2BPGi level is a reliable and non-invasive surrogate marker for predicting postoperative ascites before curative resection for hepatocellular carcinoma.