Mortality in hepatectomy: Model for End-Stage Liver Disease as a predictor of death using the National Surgical Quality Improvement Program database

Liver Disease Increases the Risk of Postoperative Complications in Patients Undergoing Aseptic Revision Total Hip and Knee Arthroplasty

Background

Due to the multiorgan effects of liver disease, surgical patients with liver disease have an increased risk of perioperative complications. With revision total hip and knee arthroplasty surgeries increasing, it is important to determine the effects of liver disease in this patient population. The purpose of this study was to evaluate the impact of underlying liver disease on postoperative outcomes following revision total joint arthroplasty (TJA).

Methods

The National Surgical Quality Improvement Program database was used to identify patients undergoing aseptic revision TJA from 2006-2019 and group them based on liver disease. The presence of liver disease was assessed by calculating the Model for End-Stage Liver Disease-Sodium score. Patients with a Model for End-Stage Liver Disease-Sodium score of > 10 were classified as having underlying liver disease. In this analysis, differences in demographics, comorbidities, and postoperative complications were assessed.

Results

Of 7102 patients undergoing revision total hip arthroplasty, 11.6% of the patients had liver disease. Of 8378 patients undergoing revision total knee arthroplasty, 8.4% of the patients had liver disease. Following adjustment on multivariable regression analysis, patients with liver disease undergoing revision total hip arthroplasty or revision total knee arthroplasty had an increased risk of major complications, wound complications, septic complications, bleeding requiring transfusion, extended length of stay, and readmission compared to those without liver disease.

Conclusions

Patients with liver disease have an increased risk of complications following revision TJA. A multidisciplinary team approach should be employed for preoperative optimization and postoperative management of these vulnerable patients to improve outcomes and decrease the incidence and severity of complications.

Level of evidence

This is retrospective cohort study and is level 3 evidence.

Volumetric Remodeling of the Left Liver After Right Hepatectomy: Analysis of Factors Predicting Degree of Hypertrophy and Post-hepatectomy Liver Failure

BACKGROUND

This study investigated the volumetric remodeling of the left liver after right hepatectomy looking for factors predicting the degree of hypertrophy and severe post-hepatectomy liver failure (PHLF).

METHODS

In a cohort of 121 right hepatectomies, we performed CT volumetrics study of the future left liver remnant (FLR) preoperatively and postoperatively. Factors influencing FLR degree of hypertrophy and severe PHLF were identified by multivariate analysis.

RESULTS

After right hepatectomy, the mean degree of hypertrophy and kinetic growth rate of the left liver remnant were 25% and 3%/day respectively. The mean liver volume recovery rate was 77%. Liver remodeling volume was distributed for 79% on segments 2 and 3 and 21% on the segment 4 (p<0.001). Women showed a greater hypertrophy of segments 2 and 3 compared with men (p=0.002). The degree of hypertrophy of segment 4 was lower in case of middle hepatic vein resection (p=0.004). Left liver remnant kinetic growth rate was associated with the standardized future liver remnant (sFLR) (p<0.001) and a two-stage hepatectomy (p=0.023). Severe PHLF were predicted by intraoperative transfusion (p=0.009), biliary tumors (p=0.013), and male gender (p=0.022).

CONCLUSIONS

Volumetric remodeling of the left liver after right hepatectomy is not uniform and is mainly influenced by gender and sacrifice of middle hepatic vein. Male gender, intraoperative transfusion, and biliary tumors increase the risk of postoperative liver failure after right hepatectomy.

An Interpretable Radiomics Model Based on Two-Dimensional Shear Wave Elastography for Predicting Symptomatic Post-Hepatectomy Liver Failure in Patients with Hepatocellular Carcinoma

OBJECTIVE

The aim of this study was to develop and validate an interpretable radiomics model based on two-dimensional shear wave elastography (2D-SWE) for symptomatic post-hepatectomy liver failure (PHLF) prediction in patients undergoing liver resection for hepatocellular carcinoma (HCC).

METHODS

A total of 345 consecutive patients were enrolled. A five-fold cross-validation was performed during training, and the models were evaluated in the independent test cohort. A multi-patch radiomics model was established based on the 2D-SWE images for predicting symptomatic PHLF. Clinical features were incorporated into the models to train the clinical-radiomics model. The radiomics model and the clinical-radiomics model were compared with the clinical model comprising clinical variables and other clinical predictive indices, including the model for end-stage liver disease (MELD) score and albumin-bilirubin (ALBI) score. Shapley Additive exPlanations (SHAP) was used for post hoc interpretability of the radiomics model.

RESULTS

The clinical-radiomics model achieved an AUC of 0.867 (95% CI 0.787-0.947) in the five-fold cross-validation, and this score was higher than that of the clinical model (AUC: 0.809; 95% CI: 0.715-0.902) and the radiomics model (AUC: 0.746; 95% CI: 0.681-0.811). The clinical-radiomics model showed an AUC of 0.822 in the test cohort, higher than that of the clinical model (AUC: 0.684, p = 0.007), radiomics model (AUC: 0.784, p = 0.415), MELD score (AUC: 0.529, p < 0.001), and ALBI score (AUC: 0.644, p = 0.016). The SHAP analysis showed that the first-order radiomics features, including first-order maximum 64 × 64, first-order 90th percentile 64 × 64, and first-order 10th percentile 32 × 32, were the most important features for PHLF prediction.

CONCLUSION

An interpretable clinical-radiomics model based on 2D-SWE and clinical variables can help in predicting symptomatic PHLF in HCC.

Development and validation of safety and efficacy-associated risk calculator for hepatocellular carcinoma in the elderly after resection (SEARCHER): A multi-institutional observational study

BACKGROUND

Increased life expectancy and improved perioperative management have resulted in increased utilization of hepatectomy for hepatocellular carcinoma (HCC) among elderly patients. However, individualized model for predicting the surgical safety and efficacy is lacking. The present study aimed to develop a safety and efficacy-associated risk calculator for HCC in the elderly after resection (SEARCHER).

METHODS

From an international multicenter database, elderly patients who underwent curative-intent hepatectomy for HCC were stratified by patient age: 65-69 years, 70-74 years, 75-79 years, and ≥80 years. Short- and long-term outcomes among the 4 groups were compared. Univariate and multivariate analyses of risk factors of postoperative major morbidity, cancer-specific survival (CSS) and overall survival (OS) were performed in the training cohort. A nomogram-based online calculator was then constructed and validated in the validation cohort.

RESULTS

With increasing age, the risk of postoperative major morbidity and worse OS increased (P = 0.001 and 0.020), but not postoperative mortality and CSS (P = 0.577 and 0.890) among patients across the 4 groups. Based on three nomograms to predict major morbidity, CSS and OS, the SEARCHER model was constructed and made available at https://elderlyhcc.shinyapps.io/SEARCHER. The model demonstrated excellent calibration and optimal performance in both the training and validation cohorts, and performed better than the several commonly-used conventional scoring and staging systems of HCC.

CONCLUSIONS

With higher potential postoperative major morbidity and worse OS as patients age, the decision of whether to perform a hepatectomy for HCC needs to be comprehensively considered in the elderly. The proposed SEARCHER model demonstrated good performance to individually predict safety and efficacy of hepatectomy in elderly patients with HCC.

A functional liver imaging score for preoperative prediction of liver failure after hepatocellular carcinoma resection

OBJECTIVES

Posthepatectomy liver failure (PHLF) is a challenging complication after resection to treat hepatocellular carcinoma (HCC), and it is associated with high mortality. Preoperative prediction of PHLF may improve patient subsequent and reduce such mortality. This study examined whether a functional liver imaging score (FLIS) based on preoperative gadoxetic acid-enhanced magnetic resonance imaging (MRI) could predict PHLF.

MATERIALS AND METHODS

The study included 502 patients who underwent preoperative gadoxetic acid-enhanced MRI, followed by HCC resection. Significant preoperative predictors of PHLF were identified using logistic regression analysis. The ability of FLIS to predict PHLF was evaluated using receiver operating characteristic curves, and its predictive power was compared to that of the model for end-stage liver disease (MELD) score, albumin-bilirubin (ALBI) score, and indocyanine green 15-min retention rate (ICG-R15).

RESULTS

In multivariate analysis, PHLF was independently associated with FLIS (OR 0.452, 95% CI 0.361 to 0.568, p < 0.001) and major resection (OR 1.898, 95% CI 1.057 to 3.408, p = 0.032). FLIS was associated with a higher area under the receiver operating characteristic curve (0.752) than the MELD score (0.557), ALBI score (0.609), or ICG-R15 (0.605) (all p < 0.05). Patients with FLIS ≤ 4 who underwent major resection were at 9.4-fold higher risk of PHLF than patients with lower FLIS who underwent minor resection.

CONCLUSION

FLIS is an independent predictor of PHLF, and it may perform better than the MELD score, ALBI score, and ICG-R15 clearance. We propose treating elevated FLIS and major resection as risk factors for PHLF.

KEY POINTS

• A functional liver imaging score can independently predict posthepatectomy liver failure in patients with HCC. • The score may predict such failure better than MELD and ALBI scores and ICG-R15. • Patients with scores ≤ 4 who undergo major hepatic resection may be at nearly tenfold higher risk of posthepatectomy liver failure.

A novel preoperative predictive model of 90-day mortality after liver resection for huge hepatocellular carcinoma

Background

Hepatectomy for huge hepatocellular carcinoma (HCC) (diameter ≥10 cm) is characterized by high mortality. This study aimed to establish a preoperative model to evaluate the risk of postoperative 90-day mortality for huge HCC patients.

Methods

We retrospectively enrolled 1,127 consecutive patients and prospectively enrolled 93 patients with huge HCC who underwent hepatectomy (training cohort, n=798; validation cohort, n=329; prospective cohort, n=93) in our institute. Based on independent preoperative predictors of 90-day mortality, we established a logistic regression model and visualized the model by nomogram.

Results

The 90-day mortality rates were 9.6%, 9.2%, and 10.9% in the training, validation, and prospective cohort. The α-fetoprotein (AFP) level, the prealbumin levels, and the presence of portal vein tumor thrombosis (PVTT) were preoperative independent predictors of 90-day mortality. A logistic regression model, AFP-prealbumin-PVTT score (APP score), was subsequently established and showed good performance in predicting 90-day mortality (training cohort, AUC =0.87; validation cohort, AUC =0.91; prospective cohort, AUC =0.93). Using a cut-off of −1.96, the model could stratify patients into low risk (≤−1.96) and high risk (>−1.96) with different 90-day mortality rates (~30% vs. ~2%). Furthermore, the predictive performance for 90-day mortality and overall survival was significantly superior to the Child-Pugh score, the model of end-stage liver disease (MELD) score, and the albumin-bilirubin (ALBI) score.

Conclusions

The APP score can precisely predict postoperative 90-day mortality as well as long-term survival for patients with huge HCC, assisting physician selection of suitable candidates for liver resection and improving the safety and efficacy of surgical treatment.

Development and Validation of a Nomogram Based on Noninvasive Liver Reserve and Fibrosis (PALBI and FIB-4) Model to Predict Posthepatectomy Liver Failure Grade B-C in Patients with Hepatocellular Carcinoma

Hepatectomy is currently one of the most effective treatments for hepatocellular carcinoma (HCC). However, postoperative liver failure (PHLF) is a serious complication and the leading cause of mortality in patients with HCC after hepatectomy. This study attempted to develop a novel nomogram based on noninvasive liver reserve and fibrosis models, platelet-albumin-bilirubin grade (PALBI) and fibrosis-4 index (FIB-4), able to predict PHLF grade B-C. This was a single-centre retrospective study of 574 patients with HCC undergoing hepatectomy between 2014 and 2018. The independent risk factors of PHLF were screened using univariate and multivariate logistic regression analyses. Multivariate logistic regression was performed using the training set, and the nomogram was developed and visualised. The utility of the model was evaluated in a validation set using the receiver operating characteristic (ROC) curve. A total of 574 HCC patients were included (383 in the training set and 191 for the validation set) and included PHLF grade B-C complications of 14.8, 15.4, and 13.6%, respectively. Overall, cirrhosis (P < 0.026, OR = 2.296, 95% confidence interval (CI) 1.1.02-4.786), major hepatectomy (P=0.031, OR = 2.211, 95% CI 1.077-4.542), ascites (P=0.014, OR = 3.588, 95% 1.299-9.913), intraoperative blood loss (P < 0.001, OR = 4.683, 95% CI 2.281-9.616), PALBI score >-2.53 (, OR = 3.609, 95% CI 1.486-8.764), and FIB-4 score ≥1.45 (P < 0.001, OR = 5.267, 95% CI 2.077-13.351) were identified as independent risk factors associated with PHLF grade B-C in the training set. The areas under the ROC curves for the nomogram model in predicting PHLF grade B-C were significant for both the training and validation sets (0.832 vs 0.803). The proposed nomogram predicted PHLF grade B-C among patients with HCC with a better prognostic accuracy than other currently available fibrosis and noninvasive liver reserve models.

Association of the Risk of a Venous Thromboembolic Event in Emergency vs Elective General Surgery

Importance

Trauma patients have an increased risk of venous thromboembolism (VTE), partly because of greater inflammation. However, it is unknown if this association is present in patients who undergo emergency general surgery (EGS).

Objectives

To investigate whether emergency case status is independently associated with VTE compared with elective case status and to test the hypothesis that emergency cases would have a higher risk of VTE.

Design, Setting, and Participants

This retrospective cohort study used the American College of Surgeons National Surgical Quality Improvement Program database from January 1, 2005, to December 31, 2016, for all cholecystectomies, ventral hernia repairs (VHRs), and partial colectomies (PCs) to obtain a sample of commonly encountered emergency procedures that have elective counterparts. Emergency surgeries were then compared with elective surgeries. The dates of analysis were January 1 to 31, 2019.

Main Outcomes and Measures

The primary outcome was VTE at 30 days. A multivariable analysis controlling for age, sex, body mass index, bleeding disorder, disseminated cancer, laparoscopy approach, and surgery type was performed.

Results

There were 604 537 adults undergoing surgical procedures over 12 years (mean [SD] age, 55.3 [16.6] years; 61.4% women), including 285 847 cholecystectomies, 158 500 VHRs, and 160 190 PCs. The rate of VTE within 30 days was 1.9% for EGS and 0.8% for elective surgery, a statistically significant difference. Overall, 4607 patients (0.8%) had deep vein thrombosis, and 2648 patients (0.4%) had pulmonary embolism. A total of 6624 VTEs (1.1%) occurred in the cohort. As expected, when VTE risk was examined by surgery type, the risk increased with invasiveness (0.5% for cholecystectomy, 0.8% for VHR, and 2.4% for PC; P < .001). On multivariable analysis, EGS was independently associated with VTE (odds ratio [OR], 1.70; 95% CI, 1.61-1.79). Also associated with VTE were open surgery (OR, 3.38; 95% CI, 3.15-3.63) and PC (OR, 1.86; 95% CI, 1.73-1.99).

Conclusions and Relevance

In this cohort study, emergency surgery and increased invasiveness appeared to be independently associated with VTE compared with elective surgery. Further study on methods to improve VTE chemoprophylaxis is highly recommended for emergency and more extensive operations to reduce the risk of potentially lethal VTE.

A simple and clinically applicable model to predict liver-related morbidity after hepatic resection for hepatocellular carcinoma

BACKGROUND & AIM

Hepatic resection is a treatment option for patients with hepatocellular carcinoma (HCC). However, factors associated with candidacy for resection and predictive of liver-related morbidity after resection for HCC remain unclear. This study aimed to assess candidacy for liver resection in patients with HCC and to design a model predictive of liver-related morbidity after resection.

METHODS

A retrospective analysis of 1,565 patients who underwent liver resection for HCC between January 2016 and December 2017 was performed. The primary outcome was liver-related morbidity, including post-hepatectomy biochemical dysfunction (PHBD), ascites, hepatic encephalopathy, rescue liver transplantation, and death from any cause within 90 days. PHBD was defined as international normalized ratio (INR) > 1.5 or hyperbilirubinemia (> 2.9 mg/dL) on postoperative day ≥ 5.

RESULTS

The 1,565 patients included 1,258 (80.4%) males and 307 (19.6%) females with a mean age of 58.3 years. Of these patients, 646 (41.3%) and 919 (58.7%) patients underwent major and minor liver resection, respectively. Liver-related morbidity was observed in 133 (8.5%) patients, including 77 and 56 patients who underwent major and minor resection, respectively. A total of 83 (5.3%) patients developed PHBD. Multivariate analysis identified cut-off values of the platelet count, serum albumin concentration, and ICG R15 value for predicting liver-related morbidity after resection. A model predicting postoperative liver-related morbidity was developed, which included seven factors: male sex, age ≥ 55 years, ICG R15 value ≥ 15%, major resection, platelet count < 150,000/mm3, serum albumin concentration < 3.5 g/dL, and INR > 1.1.

CONCLUSION

Hepatic resection for HCC was safe with 90-day liver-related morbidity and mortality rates of 8.5% and 0.8%, respectively. The developed point-based scoring system with seven factors could allow the prediction of the risk of liver-related morbidity after resection for HCC.

Non-elective paraesophageal hernia repair: surgical approaches and short-term outcomes

BACKGROUND

The majority of laparoscopic paraesophageal hernia (PEH) repairs are performed electively. We aimed to investigate the frequency of non-elective laparoscopic (MIS) PEH repair and compare 30-day outcomes to elective MIS repairs and non-elective open repairs. We hypothesized that an increasing percentage of non-elective PEH repairs would be performed laparoscopically and that this population would have improved outcomes compared to non-elective open PEH counterparts.

METHODS

The 2011-2016 NSQIP PUFs were used to identify patients who underwent PEH repair. Case status was classified as open vs. MIS and elective versus non-elective. Preoperative patient characteristics, operative details, discharge destination, and 30-day postoperative complication rates were compared. Logistic regression was used to examine the impact of case status on 30-day mortality.

RESULTS

We identified 20,010 patients who underwent PEH. There were an increasing number of MIS PEH repairs in NSQIP between 2011 and 2016. Non-elective repairs were performed in 2,173 patients and 73.4% of these were completed laparoscopically. Elective MIS patients were younger, had a higher BMI, and were more likely to be functionally independent (p < 0.01) than their non-elective counterparts. Non-elective MIS patients had a higher wound class and ASA class compared to their elective counterparts. Compared to elective MIS cases, non-elective MIS PEH repair was associated with increased odds of mortality, even after controlling for patient characteristics (OR = 1.76, p = 0.02). There was no statistically significant difference in mortality for non-elective MIS vs. non-elective open PEH repair. There is an increase in non-elective PEH repairs recorded in NSQIP over time studied.

CONCLUSIONS

The population undergoing non-elective MIS PEH repairs is different from their elective MIS counterparts and experience a higher postoperative mortality rate. While the observed increased utilization of MIS techniques in non-elective PEH repairs likely provides benefits for the patient, there remain differences in outcomes for these patients compared to elective PEH repairs.

Comparison of score-based prediction of 90-day mortality after liver resection

BACKGROUND

Indications for liver surgery are expanding fast and complexity of procedures increases. Preoperative mortality risk assessment by scoring systems is debatable. A previously published externally validated Mortality Risk Score allowed easy applicable and precise prediction of postoperative mortality. Aim of the study was to compare the performance of the Mortality Risk Score with the standard scores MELD and P-POSSUM.

METHODS

Data of 529 patients undergoing liver resection were analysed. Mortality Risk Score, the labMELD Score and the P-POSSUM Scores (PS, OS, P-POSSUM mortality %) were calculated. The ROC curves of the three scoring systems were computed and the areas under the curve (C-index) were calculated using logistic regression models. Comparisons between the ROC curves were performed using the corresponding Wald tests.

RESULTS

Internal validation confirmed that the risk model was predictive for a 90-day mortality rate with a C-index of 0.8421. The labMELD Score had a C-index of 0.7352 and the P-POSSUM system 0.6795 (PS 0.6953, OS 0.5413). The 90-day mortality rate increased with increasing labMELD values (p < 0.0001). Categorized according to the Mortality Risk Score Groups the labMELD Score showed a linear increase while the POSSUM Scores showed variable results.

CONCLUSIONS

By accurately predicting the risk of postoperative mortality after liver surgery the Mortality Risk Score should be useful at the selection stage. Prediction can be adjusted by use of the well-established labMELD Score. In contrast, the performance of standard P-POSSUM Scores is limited.

An ordinal model to predict the risk of symptomatic liver failure in patients with cirrhosis undergoing hepatectomy

BACKGROUND & AIMS

Selection criteria for hepatectomy in patients with cirrhosis are controversial. In this study we aimed to build prognostic models of symptomatic post-hepatectomy liver failure (PHLF) in patients with cirrhosis.

METHODS

This was a cohort study of patients with histologically proven cirrhosis undergoing hepatectomy in 6 French tertiary care hepato-biliary-pancreatic centres. The primary endpoint was symptomatic (grade B or C) PHLF, according to the International Study Group of Liver Surgery's definition. Twenty-six preoperative and 5 intraoperative variables were considered. An ordered ordinal logistic regression model with proportional odds ratio was used with 3 classes: O/A (No PHLF or grade A PHLF), B (grade B PHLF) and C (grade C PHLF).

RESULTS

Of the 343 patients included, the main indication was hepatocellular carcinoma (88%). Laparoscopic liver resection was performed in 112 patients. Three-month mortality was 5.25%. The observed grades of PHLF were: 0/A: 61%, B: 28%, C: 11%. Based on the results of univariate analyses, 3 preoperative variables (platelet count, liver remnant volume ratio and intent-to-treat laparoscopy) were retained in a preoperative model and 2 intraoperative variables (per protocol laparoscopy and intraoperative blood loss) were added to the latter in a postoperative model. The preoperative model estimated the probabilities of PHLF grades with acceptable discrimination (area under the receiver-operating characteristic curve [AUC] 0.73, B/C vs. 0/A; AUC 0.75, C vs. 0/A/B) and the performance of the postoperative model was even better (AUC 0.77, B/C vs. 0/A; AUC 0.81, C vs. 0/A/B; p <0.001).

CONCLUSIONS

By accurately predicting the risk of symptomatic PHLF in patients with cirrhosis, the preoperative model should be useful at the selection stage. Prediction can be adjusted at the end of surgery by also considering blood loss and conversion to laparotomy in a postoperative model, which might influence postoperative management.

LAY SUMMARY

In patients with liver cirrhosis, the risk of a hepatectomy is difficult to appreciate. We propose a statistical tool to estimate this risk, preoperatively and immediately after surgery, using readily available parameters and on online calculator. This model could help to improve the selection of patients with the best risk-benefit profiles for hepatectomy.

Improved hemostasis with major hepatic resection in the current surgical era

BACKGROUND

Major hepatic resection, predominantly performed for oncologic intent, is a complex procedure with the potential for severe intraoperative hemorrhage. The current surgical era has the ability to improve hemostasis throughout the performance of major hepatic resections which decreases blood transfusions and the detrimental effects associated with transfusion. We evaluated hemostasis and outcomes in the current surgical era of performing hepatic resections.

METHODS

Utilizing the American College of Surgeons (ACS) National Surgical Quality Improvement Program (NSQIP) database all major hepatic resections performed between 2012 and 2016 were analyzed in regards to hemostasis. Hemostasis was evaluated by the need for and magnitude of blood transfusions. Additional perioperative variables (including operative time, length of hospital stay, and mortality rates) were analyzed to assess for outcomes with hemostasis. The NSQIP results were compared to previous publications involving major hepatic resections to detect improvement in hemostasis and outcomes in the current surgical era.

RESULTS

A total of 22777 major hepatic resections met the inclusion criteria for analysis in the NSQIP database. An additional 21198 cases were compiled within the selected publications for comparative analysis. The transfusion rate in the current surgical era was 13.3% versus 38.7% in the previous era (P = 0.0001). When a transfusion was required in the current surgical era there was a two-fold reduction in the number of units transfused (1.5 U vs. 3.8 U, P = 0.0001). Statistically significant improvements in operative time and length of hospital stay were presented within the current surgical era (P = 0.0001). When a transfusion was required there was an increased relative risk score of 7 for mortality (4.9% vs. 0.7%, P = 0.0001), however, improvement in mortality rates did not reach statistical significance across surgical eras (1.3% vs. 4.0%, P = 0.0001).

CONCLUSIONS

The conduction of major hepatic resection in the current surgical era is more hemostatic. Correlated with improved hemostasis are better outcomes for both clinical and financial endpoints. These findings should encourage continued and increased performance of major hepatic resections.

Not a Routine Case, Why Expect the Routine Outcome? Quantifying the Infectious Burden of Emergency General Surgery Using the NSQIP

Emergent surgeries have different causes and physiologic patient responses than the same elective surgery, many of which are due to infectious etiologies. Therefore, we hypothesized that emergency cases have a higher risk of postoperative SSI than their elective counterparts. The ACS NSQIP database was queried from 2005 to 2016 for all cholecystectomies, ventral hernia repairs, and partial colectomies to examine common emergency and elective general surgery operations. Thirty-day outcomes were compared by emergent status. Any SSI was the primary outcome. There were 863,164 surgeries: 416,497 cholecystectomies, 220,815 ventral hernia repairs, and 225,852 partial colectomies. SSIs developed in 38,865 (4.5%) patients. SSIs increased with emergencies (5.3% vs 3.6% for any SSI). Postoperative sepsis (5.8% vs 1.5%), septic shock (4.7% vs 0.6%), length of stay (8.1 vs 2.9 days), and mortality (3.6% vs 0.4%) were increased in emergent surgery; P < 0.001 for all. When controlling for age, gender, BMI, diabetes, smoking, wound classification, comorbidities, functional status, and procedure on multivariate analysis, emergency surgery (odds ratio 1.15, 95% confidence interval 1.11–1.19) was independently associated with the development of SSI. Patients undergoing emergency general surgery experience increased rates of SSI. Patients and their families should be appropriately counseled regarding these elevated risks when consenting for emergency surgery.

Use of minimally invasive surgery in emergency general surgery procedures

BACKGROUND

Minimally invasive surgery (MIS) has demonstrated superior outcomes in many elective procedures. However, its use in emergency general surgery (EGS) procedures is not well characterized. The purpose of this study was to examine the trends in utilization and outcomes of MIS techniques in EGS over the past decade.

METHODS

The 2007-2016 ACS-NSQIP database was utilized to identify patients undergoing emergency surgery for four common EGS diagnoses: appendicitis, cholecystitis/cholangitis, peptic ulcer disease, and small bowel obstruction. Trends over time were described. Preoperative risk factors, operative characteristics, outcomes, morbidity, and trends were compared between MIS and open approaches using univariate and multivariate analysis.

RESULTS

During the 10-year study period, 190,264 patients were identified. The appendicitis group was the largest (166,559 patients) followed by gallbladder disease (9994), bowel obstruction (6256), and peptic ulcer disease (366). Utilization of MIS increased over time in all groups (p < 0.001). There was a concurrent decrease in mean days of hospitalization in each group: appendectomy (2.4 to 2.0), cholecystectomy (5.7 to 3.2), peptic ulcer disease (20.3 to 11.7), and bowel obstruction (12.9 to 10.5); p < 0.001 for all. On multivariate analysis, use of MIS techniques was associated with decreased odds of 30-day mortality, surgical site infection, and length of hospital stay in all groups (p < 0.001).

CONCLUSIONS

Use of MIS techniques in these four EGS diagnoses has increased in frequency over the past 10 years. When adjusted for preoperative risk factors, use of MIS was associated with decreased odds of wound infection, death, and length of stay. Further studies are needed to determine if increased access to MIS techniques among EGS patients may improve outcomes.

The Effects of Liver Disease on Surgical Outcomes Following Adult Spinal Deformity Surgery

BACKGROUND

As the prevalence of chronic liver disease continues to rise in the United States, understanding the effects of liver dysfunction on surgical outcomes has become increasingly important. The objective of this study was to assess the effects of chronic liver disease on 30-day complications following adult spinal deformity (ASD) surgery.

METHODS

We performed a retrospective cohort study of 2337 patients in the 2008-2015 American College of Surgeons National Surgical Quality Improvement Program database who underwent corrective ASD surgery. Patients with liver disease were identified based on a Model for End-Stage Liver Disease-Na score ≥10. A univariate analysis was performed to compare 30-day postoperative complications between patients with and without liver disease. A multivariate regression analysis adjusting for differences in baseline patient characteristics was performed to identify complications that were associated with liver disease.

RESULTS

Patients with liver disease had a significantly greater incidence of postoperative pulmonary complications (6.3% vs. 2.9%; P < 0.001), blood transfusion (34.6% vs. 24.0%; P < 0.001), sepsis (2.2% vs. 0.9%; P = 0.011), prolonged hospitalization (19.0% vs. 8.0%; P < 0.001), as well as any 30-day complication (45.4% vs. 29.4%; P < 0.001). The multivariate regression analysis identified liver disease as a risk factor for prolonged hospitalization (odds ratio [OR] 2.16; 95% confidence interval [CI] 1.64-2.84; P < 0.001), pulmonary complications (OR 1.78; 95% CI 1.16-2.74; P = 0.009), blood transfusion (OR 1.67; 95% CI 1.36-2.05; P < 0.001), and any 30-day complication (OR 1.43; 95% CI 1.15-1.77; P = 0.001).

CONCLUSIONS

The multisystem pathophysiology of liver dysfunction predisposes patients to postoperative complications following ASD surgery. A multidisciplinary approach in surgical planning and preoperative optimization is needed to minimize liver disease-related complications and improve patient outcomes.

Preoperative risk analysis index for frailty predicts short-term outcomes after hepatopancreatobiliary surgery

BACKGROUND

The Risk Analysis Index (RAI) for frailty is a rapid survey for comorbidities and performance status, which predicts mortality after general surgery. We aimed to validate the RAI in predicting outcomes after hepatopancreatobiliary surgery.

METHODS

Associations of RAI, determined in 162 patients prior to undergoing hepatopancreatobiliary surgery, with prospectively collected 30-day post-operative outcomes were analyzed with multivariate logistic and linear regression.

RESULTS

Patients (age 62 ± 14, 51% female) had a median RAI of 7, range 0-25. With every unit increase in RAI, length of stay increased by 5% (95% CI: 2-7%), odds of ICU admission increased by 10% (0-20%), ICU length of stay increased by 21% (9-34%), and odds of discharge to a nursing facility increased by 8% (0-17%) (all P < 0.05). Particularly in patients who suffered a first post-operative complication, RAI was associated with additional complications (1.6 unit increase in Comprehensive Complication Index per unit increase in RAI, P = 0.002). In a direct comparison in a subset of 74 patients, RAI and the ACS-NSQIP Risk Calculator performed comparably in predicting outcomes.

CONCLUSION

While RAI and ACS-NSQIP Risk Calculator comparatively predicted short-term outcomes after HPB surgery, RAI has been specifically designed to identify frail patients who can potentially benefit from preoperative prehabilitation interventions.

Resection of the caudate lobe for the treatment of hilar cholangiocarcinoma

INTRODUCTION

Whether the resection of the caudate lobe, in association with major hepatectomy, improves outcomes in hilar cholangiocarcinoma is controversial.

EVIDENCE ACQUISITION

We performed a systematic literature review on all studies published from June 1979 to September 2016. Inclusion criteria for eligibility were the presence of parallel-groups of patients treated with major hepatectomy with either caudate lobe resection (CLR), or not (NCLR), in adult population, reporting data on overall survival (OS). We ran out a random-effect meta-analysis for survival data.

EVIDENCE SYNTHESIS

Six retrospective studies with 969 patients (643 CLR and 326 NCLR) were included. The probability of death was significantly lower in CLR group than in NCLR group (HR 0.65; 95% CI: 0.44-0.97; P=0.035). The median survival time was in favor of CLR (WMD 3.46; 95% CI: 1.02-5.90, P=0.005]. Patients who underwent CLR were more likely to receive a R0 resection than those who did not (OR 8.26; 95% CI: 2.45-27.87; P=0.001). No moderator effects were detected at meta-regression for operative time, postoperative complication rate and pathologic findings.

CONCLUSIONS

Despite the paucity of data and the retrospective nature of the included studies, our results suggest that major hepatectomy plus caudate lobe resection may improve the likelihood of R0 resection and the overall survival in patients with hilar cholangiocarcinoma.

RAM score is an effective predictor for early mortality and recurrence after hepatectomy for hepatocellular carcinoma

BACKGROUND

Liver resection had been regarded as a standard treatment for primary hepatocellular carcinoma (HCC). However, early mortality and recurrence after surgery were still of major concern. RAM (Risk Assessment for early Mortality) scoring system is a newly developed tool for assessing early mortality after hepatectomy for HCC. In this study, we compared RAM scoring system with ALBI and MELD scores for their capability of predicting short-term outcome.

METHODS

We retrospectively reviewed patients with hepatocellular carcinoma who were treated with hepatectomy at Chang Gung Memorial Hospital between 1986 and 2015. Their clinical characteristics and perioperative variables were collected. We applied RAM, albumin-bilirubin (ALBI), and model for end-stage liver disease (MELD) scoring systems to predict early mortality and early recurrence in HCC patients after surgery. We investigated the discriminative power of each scoring system by receiver operating characteristic (ROC) curve and area under the ROC curve (AUC).

RESULTS

A total of 1935 patients (78% male) who underwent liver resection for HCC were included in this study. The median follow-up period was 41.9 months. One hundred and forty-nine patients (7.7%) died within 6 months after hepatectomy (early mortality). All the three scoring systems were effective predictor for early mortality, with higher score indicating higher risk of early mortality (AUC of RAM = 0.723, p < 0.001; AUC of ALBI = 0.682, p < 0.001; AUC of MELD = 0.590, p = 0.002). Cox regression multivariate analysis demonstrated that the RAM class was the most significant independent predictor of early mortality after surgery, while MELD grade failed to discriminatively predict early mortality. In addition to early mortality, the RAM score was also predictive of early recurrence in HCC after surgery.

CONCLUSIONS

This study demonstrated that RAM score is an effective and user-friendly bedside scoring system to predict early mortality and early recurrence after hepatectomy for HCC. In addition, the predictive capability of RAM score is superior to ALBI and MELD scores. Further study is warranted to validate our findings.

Primary Malignancy is an Independent Determinant of Morbidity and Mortality after Liver Resection

Although outcomes after liver resection have improved, there remains considerable perioperative morbidity and mortality with these procedures. Studies suggest a primary liver cancer diagnosis is associated with poorer outcomes, but the extent to which this is attributable to a higher degree of hepatic dysfunction is unclear. To better delineate this, we performed a matched pair analysis of primary versus metastatic malignancies using a national database. The American College of Surgeons National Surgical Quality Improvement Program (2005–2013) was analyzed to select elective liver resections. Diagnoses were sorted as follows: 1) primary liver cancers and 2) metastatic neoplasms. A literature review identified factors known to impact hepatectomy outcomes; these variables were evaluated by a univariate analysis. The most predictive factors were used to create similar groups from each diagnosis category via propensity matching. Multivariate regression was used to validate results in the wider study population. Outcomes were compared using chi-squared test and Fisher exact test. Matched groups of 4838 patients were similar by all variables, including indicators of liver function. A number of major complications were significantly more prevalent with a primary diagnosis; overall major morbidity rates in the metastatic and primary groups were 29.3 versus 41.6 per cent, respectively. The mortality rate for primary neoplasms was 4.6 per cent (vs 1.6%); this represents a risk of death nearly three-times greater (95% confidence interval = 2.20–3.81, P < 0.0001) in cancers of hepatic origin. Hepatectomy carries substantially higher perioperative risk when performed for primary liver cancers, independent of hepatic function and resection extent. This knowledge will help to improve treatment planning, patient education, and resource allocation in oncologic liver resection.

The utility of the MELD score in predicting mortality following liver resection for metastasis

BACKGROUND

The MELD score has been demonstrated to be predictive of hepatectomy outcomes in mixed patient samples of primary and secondary liver cancers. Because MELD is a measure of hepatic dysfunction, prior conclusions may rely on the high prevalence of cirrhosis observed with primary lesions. This study aims to evaluate MELD score as a predictor of mortality and develop a risk prediction model for patients specifically undergoing hepatic metastasectomy.

METHODS

ACS-NSQIP 2005-2013 was analyzed to select patients who had undergone liver resections for metastases. A receiver operating characteristic (ROC) analysis determined the MELD score most associated with 30-day mortality. A literature review identified variables that impact hepatectomy outcomes. Significant factors were included in a multivariable analysis (MVA). A risk calculator was derived from the final multivariable model.

RESULTS

Among the 14,919 patients assessed, the mortality rate was 2.7%, and the median MELD was 7.3 (range = 34.4). A MELD of 7.24 was identified by ROC (sensitivity = 81%, specificity = 51%, c-statistic = 0.71). Of all patients above this threshold, 4.4% died at 30 days vs. 1.1% in the group ≤7.24. This faction represented 50.1% of the population but accounted for 80.3% of all deaths (p < 0.001). The MVA revealed mortality to be increased 2.6-times (OR = 2.55, 95%CI 1.69-3.84, p < 0.001). A risk calculator was successfully developed and validated.

CONCLUSIONS

MELD>7.24 is an important predictor of death following hepatectomy for metastasis and may prompt a detailed assessment with the provided risk calculator. Attention to MELD in the preoperative setting will improve treatment planning and patient education prior to oncologic liver resection.