Impact of the Preoperative C-reactive Protein to Albumin Ratio on the Long-Term Outcomes of Hepatic Resection for Intrahepatic Cholangiocarcinoma

Introducing and Validating the Multiphasic Evidential Decision-Making Matrix (MedMax) for Clinical Management in Patients with Intrahepatic Cholangiocarcinoma

Background: Despite the significant advancements of liver surgery in the last few decades, the survival rate of patients with liver and pancreatic cancers has improved by only 10% in 30 years. Precision medicine offers a patient-centered approach, which, when combined with machine learning, could enhance decision making and treatment outcomes in surgical management of ihCC. This study aims to develop a decision support model to optimize treatment strategies for patients with ihCC, a prevalent primary liver cancer. Methods: The decision support model, named MedMax, was developed using three data sources: studies retrieved through a systematic literature review, expert opinions from HPB surgeons, and data from ihCC patients treated at Heidelberg University Hospital. Expert opinions were collected via surveys, with factors rated on a Likert scale, while patient data were used to validate the model's accuracy. Results: The model is structured into four decision-making phases, assessing diagnosis, treatment modality, surgical approach, and prognosis. Prospectively, 44 patients with ihCC were included for internal primary validation of the model. MedMax could predict the appropriate treatment considering the resectability of the lesions in 100% of patients. Also, MedMax could predict a decent surgical approach in 77% of the patients. The model proved effective in making decisions regarding surgery and patient management, demonstrating its potential as a clinical decision support tool. Conclusions: MedMax offers a transparent, personalized approach to decision making in HPB surgery, particularly for ihCC patients. Initial results show high accuracy in treatment selection, and the model's flexibility allows for future expansion to other liver tumors and HPB surgeries. Further validation with larger patient cohorts is required to enhance its clinical utility.

C reactive protein albumin ratio as a new predictor of postoperative delirium after cholecystectomy for acute cholecystitis

Postoperative delirium (POD) is one of the most common complications of surgery. This study aimed to identify the risk factors for POD in patients undergoing cholecystectomy for acute cholecystitis. This retrospective study included 77 patients who underwent cholecystectomy for acute cholecystitis between January 2015, and December 2020. Multiple logistic regression analysis was used to identify the factors associated with the development of delirium as the primary endpoint. Patients were divided into POD (n = 18) and non-POD (n = 59) groups and their demographic features and clinical results were compared. A significant model associated with delirium onset was predicted (Nagelkerke's R2 = 0.382), and the significantly correlated factors were C-reactive protein/albumin ratio (CAR), Subjective Global Assessment (SGA) score, and history of psychiatric disease. The predictive value of CAR for POD was evaluated using ROC analysis; the area under the curve of CAR was 0.731, with a cutoff value of 3.69. CAR, SGA score, and a history of psychiatric disease were identified as factors associated with the development of POD in patients with acute cholecystitis. In particular, the new preoperative evaluation of CAR may be beneficial as an assessment measure of the risk factor for the development of POD.

Prognostic value of a nomogram model for postoperative liver metastasis of colon cancer

BACKGROUND

Colon cancer is one of the most common malignant tumors of the digestive system. Liver metastasis after colon cancer surgery is the primary cause of death in patients with colon cancer.

AIM

To construct a novel nomogram model including various factors to predict liver metastasis after colon cancer surgery.

METHODS

We retrospectively analyzed 242 patients with colon cancer who were admitted and underwent radical resection for colon cancer in Zhejiang Provincial People's Hospital from December 2019 to December 2022. Patients were divided into liver metastasis and non-liver metastasis groups. Sex, age, and other general and clinicopathological data (preoperative blood routine and biochemical test indexes) were compared. The risk factors for liver metastasis were analyzed using single-factor and multifactorial logistic regression. A predictive model was then constructed and evaluated for efficacy.

RESULTS

Systemic inflammatory index (SII), C-reactive protein/albumin ratio (CAR), red blood cell distribution width (RDW), alanine aminotransferase, preoperative carcinoembryonic antigen level, and lymphatic metastasis were different between groups (P < 0.05). SII, CAR, and RDW were risk factors for liver metastasis after colon cancer surgery (P < 0.05). The area under the curve was 0.93 for the column-line diagram prediction model constructed based on these risk factors to distinguish whether liver metastasis occurred postoperatively. The actual curve of the column-line diagram predicting the risk of postoperative liver metastasis was close to the ideal curve, with good agreement. The prediction model curves in the decision curve analysis showed higher net benefits for a larger threshold range than those in extreme cases, indicating that the model is safer.

CONCLUSION

Liver metastases after colorectal cancer surgery could be well predicted by a nomogram based on the SII, CAR, and RDW.

Prognostic Value of Post-Operative C-Reactive Protein-Based Inflammatory Biomarkers in Colorectal Cancer Patients: Systematic Review and Meta-Analysis

Post-operative inflammation in cancer patients can be modulated by drugs and diets, but evidence on its prognostic role, which would be crucial for personalized treatment and surveillance schemes, remains rather limited. We aimed to systematically review and meta-analyse studies on the prognostic value of post-operative C-reactive protein (CRP)-based inflammatory biomarkers among patients with colorectal cancer (CRC) (PROSPERO#: CRD42022293832). PubMed, Web of Science and Cochrane databases were searched until February 2023. Studies reporting associations between post-operative CRP, Glasgow Prognostic Score (GPS) or modified Glasgow Prognostic Score (mGPS) with overall survival (OS), CRC-specific survival (CSS) and recurrence-free survival (RFS) were included. Hazard ratios (HRs) with 95% confidence intervals (CIs) for the predictor-outcome associations were pooled using R-software, version 4.2. Sixteen studies (n = 6079) were included in the meta-analyses. Elevated post-operative CRP was a predictor of poor OS, CSS and RFS compared with low CRP levels [HR (95% CI): 1.72 (1.32-2.25); 1.63 (1.30-2.05); 2.23 (1.44-3.47), respectively]. A unit increase in post-operative GPS predicted poor OS [HR (95% Cl): 1.31 (1.14-1.51)]. Moreover, a unit increase in post-operative mGPS was associated with poor OS and CSS [HR (95% Cl): 1.93 (1.37-2.72); 3.16 (1.48-6.76), respectively]. Post-operative CRP-based inflammatory biomarkers have a significant prognostic role for patients with CRC. Prognostic value of these easy-to-obtain routine measurements thereby seems to outperform most of the much more complex blood- or tissue-based predictors in the current focus of multi-omics-based research. Future studies should validate our findings, establish optimal time for biomarker assessment and determine clinically useful cut-off values of these biomarkers for post-operative risk-stratification and treatment-response monitoring.

The clinical impact of the ratio of C-reactive protein to albumin (CAR) in patients with acute- and lymphoma-type adult T-cell leukemia-lymphoma (ATL)

Recently, the ratio of C-reactive protein to albumin (CAR) is used as an inflammatory marker that has been demonstrated to be a simple and reliable prognostic factor in solid tumors and hematological malignancy. However, no studies of the CAR have been performed in patients with adult T-cell leukemia-lymphoma (ATL). We retrospectively analyzed the clinical features and outcomes in 68 newly diagnosed acute- and lymphoma-type ATL [(acute-(n=42) or lymphoma-type (n=26)] patients in Miyazaki Prefecture from 2013 to 2017. Furthermore, we investigated correlations between pretreatment CAR levels and clinical features. The median age was 67 years (range, 44 - 87). Patients were initially treated by either palliative therapy (n=14) or chemotherapy [n=54; CHOP therapy (n=37)/ VCAP-AMP-VECP therapy (n=17)], and showed median survival durations of 0.5 months and 7.4 months, respectively. The factors affecting OS by multivariate analysis were age, BUN, and CAR. Importantly, we revealed that the high CAR group (optimal cut-off point; 0.553) was a significant indicator of worse OS by multivariate analysis (p< 0.001, HR; 5.46). The median survival of patients with a CAR< 0.553 was 8.37 months, while patients with a CAR>0.553 had a median survival of 3.94 months. The different clinical features between high CAR and low CAR groups were hypoproteinemia and the implementation of chemotherapy. Furthermore, in the chemotherapy group, but not the palliative therapy group, CAR was a significant prognostic marker. Our study indicated that CAR may be a new simple and significant independent prognostic marker in acute- and lymphoma-type ATL patients.

Laparoscopic versus open hepatectomy for intrahepatic cholangiocarcinoma in patients aged 60 and older: a retrospective cohort study

Objective laparoscopic surgical excision is the recommended treatment for liver cancers, yet its benefits in patients aged 60 and older remain poorly understood. Thus, this study evaluated the feasibility, safety, and clinical outcomes of laparoscopic hepatectomy for patients aged 60 and older with intrahepatic cholangiocarcinoma (ICC).MethodsAfter screening, 107 patients who underwent hepatectomy for ICC were enrolled and grouped into either laparoscopic (LH) or open hepatectomy (OH) groups. Baseline characteristics, pathological findings, and long-term outcomes were compared between the two groups. Independent prognostic factors for overall survival (OS) and disease-free survival (DFS) were identified using univariate and multivariate analyses.ResultsAmong baseline characteristics and pathological findings, only pre-operative albumin was higher in the LH group. The LH group had more favorable short-term outcomes such as incision length, level of postoperative total bilirubin, and length of postoperative stays than the OH group. The postoperative complication, lymph node dissection and R0 resection rate, and long-term outcomes including OS and DFS were not significantly different between the two groups. Cancer Antigen-19-9(CA-19-9) and pathological differentiation were independent prognostic factors for OS, whereas CA-19-9 and neutrophil count were independent prognostic factors for DFS.ConclusionLH is safe, reliable, and feasible for treatment of ICC patients aged 60 and older as it had better short-term clinical outcomes than OH and achieved long-term prognoses that were comparable to those of OH.

Preoperative Serum Markers and Risk Classification in Intrahepatic Cholangiocarcinoma: A Multicenter Retrospective Study

Accurate risk stratification selects patients who are expected to benefit most from surgery. This retrospective study enrolled 225 Japanese patients with intrahepatic cholangiocellular carcinoma (ICC) who underwent hepatectomy between January 2009 and December 2020 and identified preoperative blood test biomarkers to formulate a classification system that predicted prognosis. The optimal cut-off values of blood test parameters were determined by ROC curve analysis, with Cox univariate and multivariate analyses identifying prognostic factors. Risk classifications were established using classification and regression tree (CART) analysis. CART analysis revealed decision trees for recurrence-free survival (RFS) and overall survival (OS) and created three risk classifications based on machine learning of preoperative serum markers. Five-year rates differed significantly (p < 0.001) between groups: 60.4% (low-risk), 22.8% (moderate-risk), and 4.1% (high-risk) for RFS and 69.2% (low-risk), 32.3% (moderate-risk), and 9.2% (high-risk) for OS. No difference in OS was observed between patients in the low-risk group with or without postoperative adjuvant chemotherapy, although OS improved in the moderate group and was prolonged significantly in the high-risk group receiving chemotherapy. Stratification of patients with ICC who underwent hepatectomy into three risk groups for RFS and OS identified preoperative prognostic factors that predicted prognosis and were easy to understand and apply clinically.

Prognostic and Clinicopathological Significance of C-Reactive Protein to Albumin Ratio in Patients with Bile Duct Cancer: A Meta-Analysis

Recent studies have explored the prognostic role of the C-reactive protein to albumin ratio (CAR) in patients with bile duct cancer (BTC), but the results have been inconsistent. This study aimed to provide insight into the prognostic significance of the CAR in BTC prior to treatment using a meta-analysis. Summarized hazard ratios (HRs) or odds ratios (ORs) and 95% confidence intervals (CIs) were calculated for prognosis and clinicopathological features using fixed or random effects models. Fourteen studies with a total of 1,543 subjects were included in this meta-analysis. Elevated CAR was significantly associated with poor overall survival (HR = 2.17, 95% CI = 1.81-2.60, P < 0.001) and decreased disease-free survival or recurrence-free survival (HR = 2.53, 95% CI = 1.98-3.25, P < 0.001) in BTC. In addition, high CAR was significantly associated with the presence of lymph node metastasis (OR = 1.54, 95% CI = 1.12- 2.13, P = 0.008), bile duct invasion (OR = 2.64, 95% CI = 1.54-4.54, P < 0.001), and tumor stages III-IV (OR = 3.11, 95% CI = 1.05-9.20, P = 0.040). However, there was no significant association between CAR and sex, microvascular invasion, or resection. An elevated CAR was significantly related to worse long-term and short-term survival and advanced clinicopathological features of BTC. CAR could serve as a valuable, noninvasive prognostic marker in patients with BTC.

The Impact of a Preoperative Staging System on Accurate Prediction of Prognosis in Intrahepatic Cholangiocarcinoma

Background: Non-invasive biomarkers detected preoperatively are still inadequate for treatment decision making for patients with intrahepatic cholangiocarcinoma (ICC). In this study, we analyzed preoperative findings to establish a novel preoperative staging system (PRE-Stage) for patients with ICC. Methods: The clinical data of 227 consecutive patients with histologically confirmed ICC following hepatectomy at five university hospitals were analyzed. Results: Cox proportional hazards regression analysis of survival revealed that a CRP−albumin−lymphocyte index < 3, central tumor location, and CA19-9 level > 40 U/mL were prognostic factors among the preoperatively obtained clinical findings (hazard ratios (HRs) of all three factors for disease-specific survival (DSS) and disease-free survival (DFS: 2.4−3.3 and 1.7−2.9; all p < 0.05). The PRE-Stage was developed using these three prognostic factors, and it was able to significantly predict DSS and DFS when the patients were stratified into four stages (p < 0.05). In addition, the PRE-Stage resulted in similar HRs as those of the Liver Cancer Study Group of Japan (LCSGJ) stage (HRs for DSS: PRE-Stage, 1.985; LCSGJ stage, 1.923; HRs for DFS: LCSGJ stage, 1.909, and PRE-Stage, 1.623, all p < 0.05). Conclusion: The PRE-Stage demonstrated similar accuracy in predicting the prognosis of ICC as that of the LCSGJ stage, which is based on postoperative findings. The PRE-Stage may contribute to appropriate treatment decision making.

Clinical value and limitations of the preoperative C-reactive-protein-to-albumin ratio in predicting post-operative morbidity and mortality after deceased-donor liver transplantation: a retrospective single-centre study

Liver transplantation is still associated with a high risk of severe complications and post-operative mortality. This study examines the predictive value of the preoperative C-reactive-protein-to-albumin ratio (CAR) regarding perioperative morbidity and mortality in deceased-donor liver transplantation (DDLT) recipients. In total, 390 DDLT recipients between 05/2010 and 03/2020 were eligible. Predictive abilities of CAR were examined through receiver operating characteristic curve (ROC) analyses. Groups were compared using parametric and non-parametric tests as appropriate. Independent risk factors for morbidity and mortality were identified using uni- and multivariable logistic regression analyses. A good predictive ability for CAR was shown regarding perioperative morbidity (comprehensive complication index ≥75, Clavien-Dindo score ≥4a) and 12-month mortality, with an ideal cut-off of CAR = 26%. Patients with CAR>26% had significantly higher median CCI scores (60 vs. 43, P < 0.001), longer intensive care unit (ICU, 5 vs. 4 days, P < 0.001) and hospital (28 vs. 21 days, P < 0.001) stays and higher 12-month mortality rates (20% vs 6%, P < 0.001). Multivariable analyses identified CAR>26%, pre-OLT inpatient hospitalization (including ICU) and post-operative red blood cell transfusions as independent predictors of severe cumulative morbidity (CCI≥75). Preoperative CAR might be a reliable additional tool to predict perioperative morbidity and mortality in DDLT recipients.