The Interaction between Diabetes, Body Mass Index, Hepatic Steatosis, and Risk of Liver Resection: Insulin Dependent Diabetes Is the Greatest Risk for Major Complications

What matters in laparoscopic hepatectomy for lesions located in posterosuperior segments? Initial experiences and analysis of risk factors for postoperative complications: a retrospective cohort study

BACKGROUND

Laparoscopic liver resection (LLR) for lesions in the posterosuperior segments (PSS) is challenging. Identifying and minimizing risk factors for postoperative morbidity and mortality is crucial. This retrospective cohort study shares initial experiences with LLR of the PSS (VII, VIII, IVa) and wants to identify risk factors for clinically relevant postoperative complications (Clavien-Dindo grade ≥ III) in these patients.

METHODS

We reviewed our prospective database for all patients who underwent LLR with at least one lesion in the PSS (April 2018-October 2022). Uni- and multivariate analyses were carried out using binary logistic regression analysis.

RESULTS

110 patients underwent LLR of the PSS. Median age was 67 years (IQR 59-76); 62% were male (n = 68), with a median BMI of 26 (IQR 23-30). The most frequent indications for LLR were primary liver cancer (37%) and colorectal liver metastasis (36%). Median operating time was 211 min (IQR 135-281) with a median blood loss of 460 mL (IQR 240-1200). Postoperative length of stay was 6 days (IQR 4-8). Clinically relevant postoperative complications were present in 20 patients (18%) with a 90-day mortality rate of 5% (n = 6). Multivariate analyses identified ASA ≥ III (OR 3.23 [95%CI 1.03-10.09]; p = 0.043), diabetes (OR 4.31 [95%CI 1.20-15.49]; p = 0.025), and intraoperative transfusion of packed red blood cells (PRBC) (OR 4.80 [95%CI 1.01-22.86]; p = 0.049) as risk factors for Clavien-Dindo grade ≥ III complications.

CONCLUSION

ASA ≥ III status, diabetes, and intraoperative PRBC transfusion are associated with an increased risk of Clavien-Dindo grade ≥ III complications in patients undergoing LLR in PSS. Preoperative optimization should include diabetes management, screening for anemia with appropriate supplementation, and comprehensive risk counseling for ASA ≥ III patients. Additionally, minimizing intraoperative PRBC transfusion should remain a key perioperative goal.

Post-hepatectomy liver failure: A timeline centered review

BACKGROUND

Post-hepatectomy liver failure (PHLF) is a leading cause of postoperative mortality after liver surgery. Due to its significant impact, it is imperative to understand the risk stratification and preventative strategies for PHLF. The main objective of this review is to highlight the role of these strategies in a timeline centered way around curative resection.

DATA SOURCES

This review includes studies on both humans and animals, where they addressed PHLF. A literature search was conducted across the Cochrane Library, Embase, MEDLINE/PubMed, and Web of Knowledge electronic databases for English language studies published between July 1997 and June 2020. Studies presented in other languages were equally considered. The quality of included publications was assessed using Downs and Black's checklist. The results were presented in qualitative summaries owing to the lack of studies qualifying for quantitative analysis.

RESULTS

This systematic review with 245 studies, provides insight into the current prediction, prevention, diagnosis, and management options for PHLF. This review highlighted that liver volume manipulation is the most frequently studied preventive measure against PHLF in clinical practice, with modest improvement in the treatment strategies over the past decade.

CONCLUSIONS

Remnant liver volume manipulation is the most consistent preventive measure against PHLF.

Postoperative Liver Failure: Definitions, Risk factors, Prediction Models and Prevention Strategies

BACKGROUND

Liver resection is the treatment for a variety of benign and malignant conditions. Despite advances in preoperative selection, surgical technique, and perioperative management, post hepatectomy liver failure (PHLF) is still a leading cause of morbidity and mortality following liver resection.

METHODS

A review of the literature was performed utilizing MEDLINE/PubMed and Web of Science databases in May of 2023. The MESH terms "liver failure," "liver insufficiency," and "hepatic failure" in combination with "liver surgery," "liver resection," and "hepatectomy" were searched in the title and/or abstract. The references of relevant articles were reviewed to identify additional eligible publications.

RESULTS

PHLF can have devastating physiological consequences. In general, risk factors can be categorized as patient-related, primary liver function-related, or perioperative factors. Currently, no effective treatment options are available and the management of PHLF is largely supportive. Therefore, identifying risk factors and preventative strategies for PHLF is paramount. Ensuring an adequate future liver remnant is important to mitigate risk of PHLF. Dynamic liver function tests provide more objective assessment of liver function based on the metabolic capacity of the liver and have the advantage of easy administration, low cost, and easy reproducibility.

CONCLUSION

Given the absence of randomized data specifically related to the management of PHLF, current strategies are based on the principles of management of acute liver failure from any cause. In addition, goal-directed therapy for organ dysfunction, as well as identification and treatment of reversible factors in the postoperative period are critical.

Significance of predicted future liver remnant volume on liver failure risk after major hepatectomy: a case matched comparative study

INTRODUCTION

Future liver remnant volume (FLRV), a risk factor for liver failure (PHLF) after major hepatectomy (MH), is not routinely measured. This study aimed to evaluate the association between FLRV and PHLF.

PATIENTS AND METHODS

All patients undergoing MH (4 + segments) between 2011 and 2018 were identified from a prospectively maintained single-centre database. Perioperative data were collected for patients with PHLF, who were matched (1:2) with non-PHLF controls. FLRV and FLRV% (i.e., % of total liver volume) were calculated retrospectively from preoperative CT scans using Synapse-3D software, and compared between the PHLF and matched control groups.

RESULTS

Of 711 patients undergoing MH, PHLF occurred in 27 (3.8%), of whom 24 had preoperative CT scans available. These patients were matched to 48 non-PHLF controls, 98% of whom were classified as being at high risk of PHLF on preoperative risk scoring. FLRV% was significantly lower in the PHLF group, compared to matched controls (median: 28.7 vs. 35.2%, p = 0.010), with FLRV% < 30% in 58% and 29% of patients, respectively. Assessment of the ability of FLRV% to differentiate between PHLF and matched controls returned an area under the ROC curve of 0.69, and an optimal cut-off value of FLRV% < 31.5%, which yielded 79% sensitivity and 67% specificity.

CONCLUSIONS

FLRV% is significantly predictive of PHLF after MH, with over half of patients with PHLF having FLRV% < 30%. In light of this, we propose that all patients should undergo risk stratification prior to MH, with the high risk patients additionally being assessed with CT volumetry.

Influence of diabetes on short-term outcome after major hepatectomy: an underestimated risk?

BACKGROUND

Patient-related risk factors such as diabetes mellitus and obesity are increasing in western countries. At the same time the indications for liver resection in both benign and malignant diseases have been significantly extended in recent years. Major liver resection is performed more frequently in a patient population of old age, comorbidity and high rates of neoadjuvant chemotherapy. The aim of this study was to evaluate whether diabetes mellitus, obesity and overweight are risk factors for the short-term post-operative outcome after major liver resection.

METHODS

Four hundred seventeen major liver resections (≥ 3 segments) were selected from a prospective database. Exclusion criteria were prior liver resection in patient's history and synchronous major intra-abdominal procedures. Overweight was defined as BMI ≥ 25 kg/m2 and < 30 kg/m2 and obesity as BMI ≥ 30 kg/m2. Primary end point was 90-day mortality and logistic regression was used for multivariate analysis. Secondary end points included morbidity, complications according to Clavien-Dindo classification, unplanned readmission, bile leakage, and liver failure. Morbidity was defined as occurrence of a post-operative complication during hospital stay or within 90 days postoperatively.

RESULTS

Fifty-nine patients had diabetes mellitus (14.1%), 48 were obese (11.6%) and 147 were overweight (35.5%). There were no statistically significant differences in mortality rates between the groups. In the multivariate analysis, diabetes was an independent predictor of morbidity (OR = 2.44, p = 0.02), Clavien-Dindo grade IV complications (OR = 3.6, p = 0.004), unplanned readmission (OR = 2.44, p = 0.04) and bile leakage (OR = 2.06, p = 0.046). Obese and overweight patients did not have an impaired post-operative outcome compared patients with normal weight.

CONCLUSIONS

Diabetes has direct influence on the short-term postoperative outcome with an increased risk of morbidity but not mortality. Preoperative identification of high-risk patients will potentially decrease complication rates and allow for individual patient counseling as part of a shared decision-making process. For obese and overweight patients, major liver resection is a safe procedure.

Sarcopenia increases 1-year mortality after surgical resection of hepatocellular carcinoma

BACKGROUND

Liver resection is a well-recognized modality for hepatocellular carcinoma. Cirrhotic patients are more prone to adverse consequences after liver resection. This work assesses the prognostic significance of sarcopenic hepatocellular carcinoma cases for whom surgical resection was performed.

METHODS

The present prospective work included 52 cirrhotic cases. Computed tomography scans were used to determine the skeletal muscle index (SMI) at the plane of the third lumbar vertebra (L3). L3 SMI was used for the definition of sarcopenia. The primary outcome measure was the predictive value of sarcopenia for 1-year post-hepatectomy mortality.

RESULTS

Sarcopenia was diagnosed in 27 patients (51.9%). All patients had a Child-Turcotte-Pugh score A. At a 1-year follow-up, 20 cases died; that is the 1-year mortality rate was 38.5%. Sarcopenia was more commonly associated with older age and non-viral causes of cirrhosis. The risk of 1-year mortality is 7.6 times higher in sarcopenic patients with a risk ratio of 3.7 (95% confidence interval 1.4-9.6).

CONCLUSION

Sarcopenia diagnosed using L3 SMI is an independent prognostic factor for 1-year deaths in cases with hepatic malignancy with Child-Turcotte-Pugh score A undergoing surgical resection.

EuroSurg Collaborative. Body mass index and complications following major gastrointestinal surgery: a prospective, international cohort study and meta-analysis

AIM

Previous studies reported conflicting evidence on the effects of obesity on outcomes after gastrointestinal surgery. The aims of this study were to explore the relationship of obesity with major postoperative complications in an international cohort and to present a meta-analysis of all available prospective data.

METHODS

This prospective, multicentre study included adults undergoing both elective and emergency gastrointestinal resection, reversal of stoma or formation of stoma. The primary end-point was 30-day major complications (Clavien-Dindo Grades III-V). A systematic search was undertaken for studies assessing the relationship between obesity and major complications after gastrointestinal surgery. Individual patient meta-analysis was used to analyse pooled results.

RESULTS

This study included 2519 patients across 127 centres, of whom 560 (22.2%) were obese. Unadjusted major complication rates were lower in obese vs normal weight patients (13.0% vs 16.2%, respectively), but this did not reach statistical significance (P = 0.863) on multivariate analysis for patients having surgery for either malignant or benign conditions. Individual patient meta-analysis demonstrated that obese patients undergoing surgery for malignancy were at increased risk of major complications (OR 2.10, 95% CI 1.49-2.96, P < 0.001), whereas obese patients undergoing surgery for benign indications were at decreased risk (OR 0.59, 95% CI 0.46-0.75, P < 0.001) compared to normal weight patients.

CONCLUSIONS

In our international data, obesity was not found to be associated with major complications following gastrointestinal surgery. Meta-analysis of available prospective data made a novel finding of obesity being associated with different outcomes depending on whether patients were undergoing surgery for benign or malignant disease.

Update on Liver Failure Following Hepatic Resection: Strategies for Prediction and Avoidance of Post-operative Liver Insufficiency

Liver resection is increasingly used for a variety of benign and malignant conditions. Despite advances in preoperative selection, surgical technique and perioperative management, posthepatectomy liver failure (PHLF) is still a leading cause of morbidity and mortality following liver resection. Given the devastating physiological consequences of PHLF and the lack of effective treatment options, identifying risk factors and preventative strategies for PHLF is paramount. In the past, a major limitation to conducting high quality research on risk factors and prevention strategies for PHLF has been the absence of a standardized definition. In this article, we describe relevant definitions for PHLF, discuss risk factors and prediction models, and review advances in liver assessment tools and PHLF prevention strategies.

Comparison of risk-scoring systems in the prediction of outcome after liver resection

Background

Risk prediction techniques commonly used in liver surgery include the American Society of Anesthesiologists (ASA) grading, Charlson Comorbidity Index (CCI) and cardiopulmonary exercise tests (CPET). This study compares the utility of these techniques along with the number of segments resected as predictive tools in liver surgery.

Methods

A review of a unit database of patients undergoing liver resection between February 2008 and January 2015 was undertaken. Patient demographics, ASA, CCI and CPET variables were recorded along with resection size. Clavien-Dindo grade III–V complications were used as a composite outcome in analyses. Association between predictive variables and outcome was assessed by univariate and multivariate techniques.

Results

One hundred and seventy-two resections in 168 patients were identified. Grade III–V complications occurred after 42 (24.4%) liver resections. In univariate analysis of CPET variables, ventilatory equivalents for CO₂ (VEqCO₂) was associated with outcome. CCI score, but not ASA grade, was also associated with outcome. In multivariate analysis, the odds ratio of developing grade III–V complications for incremental increases in VEqCO₂, CCI and number of liver segments resected were 1.09, 1.49 and 2.94, respectively.

Conclusions

Of the techniques evaluated, resection size provides the simplest and most discriminating predictor of significant complications following liver surgery.

Systematic review of the influence of chemotherapy-associated liver injury on outcome after partial hepatectomy for colorectal liver metastases

BACKGROUND

The impact of chemotherapy-associated liver injury (CALI) on postoperative outcome in patients undergoing partial hepatectomy for colorectal liver metastases (CRLM) remains controversial. The objective of this study was to clarify the effect of CALI (sinusoidal dilatation (SD), steatosis and steatohepatitis) on postoperative morbidity and mortality by investigating a large data set from multiple international centres.

METHODS

PubMed and Embase were searched for studies published between 1 January 2004 and 31 December 2013 with keywords 'chemotherapy', 'liver resection', 'outcome' and 'colorectal metastases' to identify potential collaborating centres. Univariable and multivariable analyses were performed using binary logistic regression models, with results presented as odds ratios (ORs) with 95 per cent confidence intervals.

RESULTS

A consolidated database comprising 788 patients who underwent hepatectomy for CRLM in eight centres was obtained. In multivariable analyses, severe SD was associated with increased major morbidity (Dindo-Clavien grade III-V; OR 1·73, 95 per cent c.i. 1·02 to 2·95; P = 0·043). Severe steatosis was associated with decreased liver surgery-specific complications (OR 0·52, 95 per cent c.i. 0·27 to 1·00; P = 0·049), whereas steatohepatitis was linked to an increase in these complications (OR 2·08, 1·18 to 3·66; P = 0·012). Subgroup analysis showed that lobular inflammation was the sole component associated with increased overall morbidity (OR 2·22, 1·48 to 3·34; P = 0·001) and liver surgery-specific complications (OR 3·35, 2·11 to 5·32; P < 0·001). Finally, oxaliplatin treatment was linked to severe SD (OR 2·74, 1·67 to 4·49; P < 0·001).

CONCLUSION

An increase in postoperative major morbidity and liver surgery-specific complications was observed after partial hepatectomy in patients with severe SD and steatohepatitis. Postoperative liver failure occurred more often in patients with severe SD.

Differential impact of obesity and diabetes mellitus on survival after liver resection for colorectal cancer metastases

BACKGROUND

Data on the potential effect of obesity and diabetes mellitus on survival after liver resection due to colorectal cancer (CRC) metastases are very limited.

METHODS

Patients undergoing liver resection for CRC metastases in a European institution in 2004-2011 were retrospectively enrolled. Relevant data, such as body mass index, extent of resection, chemotherapy, and perioperative outcome, were collected from medical records. The relation of obesity and diabetes mellitus with overall and disease-free survival was assessed using adjusted Cox models.

RESULTS

Thirty of 207 patients (14.4%) included in the study were obese (BMI ≥30 kg/m(2)) and 25 (12%) had diabetes mellitus. Major hepatectomy was performed in 46%. Although both obese patients and those with diabetes had higher American Society of Anesthesiologist scores (P < 0.05 for both), neither obesity nor diabetes was significantly related to primary tumor characteristics, liver metastasis features, extent or radicality of resection, extrahepatic disease at hepatectomy, preoperative or postoperative oncologic therapy, or perioperative outcome (P > 0.05 for all). Patients were followed up for a median of 39 mo posthepatectomy (interquartile range, 13-56 mo). After adjustment for confounders, obesity was an independent predictor of improved (hazard ratio, 0.305, 95% confidence interval, 0.103-0.902) and diabetes of worse overall survival (hazard ratio, 3.298, 95% confidence interval, 1.306-8.330). Obese patients with diabetes had also worse disease-free survival compared with the rest of the cohort (P < 0.05).

CONCLUSIONS

After hepatectomy for CRC metastases, obesity does not seem to be associated to poor outcome while diabetes mellitus has a negative impact on prognosis.

Clinical assessment before hepatectomy identifies high-risk patients

BACKGROUND

Liver resection is associated with significant morbidity, and assessment of risk is an important part of preoperative consultations. Objective methods exist to assess operative risk, including cardiopulmonary exercise testing (CPX). Subjective assessment is also made in clinic, and patients perceived to be high-risk are referred for CPX at our institution. This article addresses clinicians' ability to identify patients with a higher risk of surgical complications after hepatectomy, using selection for CPX as a surrogate marker for increased operative risk.

MATERIALS AND METHODS

Prospectively collected data on patients undergoing hepatectomy between February 2008 and November 2013 were retrieved and the cohort divided according to CPX referral. Complications were classified using the Clavien-Dindo system.

RESULTS

CPX testing was carried out before 101 of 405 liver resections during the study period. The median age was 72 and 64 in CPX and non-CPX groups, respectively (P < 0.001). The resection size was similar between the groups. No difference was noted for grade III complications between CPX and non-CPX tested-groups; however, 19 (18.8%) and 28 (9.2%) patients suffered grade IV-V complications, respectively (P = 0.009). There was no difference in long-term survival between groups (P = 0.63).

CONCLUSIONS

This study attempts to assess clinicians' ability to identify patients at greater risk of complications after hepatectomy. The confirmation that patients identified in this way are at greater risk of grade IV-V complications demonstrates the value of preoperative counseling. High-risk patients do not have worse long-term outcomes suggesting survival is determined by other factors, particularly disease recurrence.

A comprehensive method for predicting fatal liver failure of patients with liver cancer resection

There are many methods to assess liver function, but none of them has been verified as fully effective. The purpose of this study is to establish a comprehensive method evaluating perioperative liver reserve function (LRF) in patients with primary liver cancer (PLC).In this study, 310 PLC patients who underwent liver resection were included. The cohort was divided into a training set (n = 235) and a validation set (n = 75). The factors affecting postoperative liver dysfunction (POLD) during preoperative, intraoperative, and postoperative periods were confirmed by logistic regression analysis. The equation for calculating the preoperative liver functional evaluation index (PLFEI) was established; the cutoff value of PLFEI determined through analysis by receiver-operating characteristic curve was used to predict postoperative liver function.The data showed that body mass index, international normalized ratio, indocyanine green (ICG) retention rate at 15 minutes (ICGR15), ICG elimination rate, standard remnant liver volume (SRLV), operative bleeding volume (OBV), blood transfusion volume, and operative time were statistically different (all P < 0.05) between 2 groups of patients with and without POLD. The relationship among PLFEI, ICGR15, OBV, and SRLV is expressed as an equation of "PLFEI = 0.181 × ICGR15 + 0.001 × OBV - 0.008 × SRLV." The cutoff value of PLFEI to predict POLD was -2.16 whose sensitivity and specificity were 90.3% and 73.5%, respectively. However, when predicting fatal liver failure (FLF), the cutoff value of PLFEI was switched to -1.97 whose sensitivity and specificity were 100% and 68.8%, respectively.PLFEI will be a more comprehensive, sensitive, and accurate index assessing perioperative LRF in liver cancer patients who receive liver resection. And keeping PLFEI <-1.97 is a safety margin for preventing FLF in PLC patients who underwent liver resection.