Cannabis use disorder and perioperative outcomes following complex cancer surgery.

INTRODUCTION: Cannabis usage is increasing in the United States, especially among patients with cancer. We sought to evaluate whether cannabis use disorder (CUD) was associated with higher morbidity and mortality among patients undergoing complex cancer surgery. METHODS: Patients who underwent complex cancer surgery between January 2016 and December 2019 were identified in the National Inpatient Sample database. CUD was defined according to ICD-10 codes. Propensity score matching was performed to create a 1:1 matched cohort that was well balanced with respect to covariates, which included patient comorbidities, sociodemographic factors, and procedure type. The primary composite outcome was in-hospital mortality and seven major perioperative complications (myocardial ischemia, acute kidney injury, stroke, respiratory failure, venous thromboembolism, hospital-acquired infection, and surgical procedure-related complications). RESULTS: Among 15 014 patients who underwent a high-risk surgical procedure, a cohort of 7507 patients with CUD (median age; 43 years [IQR: 30-56 years]; n = 3078 [41.0%] female) were matched with 7507 patients who were not cannabis users (median age; 44 years [IQR: 30-58 years); n = 2997 [39.9%] female). CUD was associated with slight increased risk relative to postoperative kidney injury (CUD, 7.8% vs. no CUD, 6.1%); however, in-hospital mortality was slightly lower (CUD, 0.9% vs. no CUD, 1.6%) (both p < 0.001). On multivariable analysis, after controlling for other risk factors, CUD was not associated with higher morbidity and mortality (adjusted odds ratio: 1.06, 95% CI: 0.98-1.15; p = 0.158). CONCLUSION: CUD was not associated with a higher risk of postoperative morbidity and mortality following complex cancer surgery.

Association of surgeon's sex, and surgeon-patient dyad with financial outcomes among patients undergoing cancer surgery.

BACKGROUND AND OBJECTIVES: Surgeon sex has been associated with perioperative clinical outcomes among patients undergoing oncologic surgery. There may be variations in financial outcomes relative to the surgeon-patient dyad. We sought to define the association of surgeon's sex with perioperative financial outcomes following cancer surgery. METHODS: Patients who underwent resection of lung, breast, hepato-pancreato-biliary (HPB), or colorectal cancer between 2014 and 2021 were identified from the Medicare Standard Analytic Files. A generalized linear model with gamma regression was utilized to characterize the association between sex concordance and expenditures. RESULTS: Among 207,935 Medicare beneficiaries (breast: n = 14,753, 7.1%, lung: n = 59,644, 28.7%, HPB: n = 23,400, 11.3%, colorectal: n = 110,118, 53.0%), 87.8% (n = 182,643) and 12.2% (n = 25,292) of patients were treated by male and female surgeons, respectively. On multivariable analysis, female surgeon sex was associated with slightly reduced index expenditures (mean difference -$353, 95%CI -$580, -$126; p = 0.003). However, there were no differences in 90-day post-discharge inpatient (mean difference -$-225, 95%CI -$570, -$121; p = 0.205) and total expenditures (mean difference $133, 95%CI -$279, $545; p = 0.525). CONCLUSIONS: There was minor risk-adjusted variation in perioperative expenditures relative to surgeon sex. To improve perioperative financial outcomes, a diverse surgical workforce with respect to patient and surgeon sex is warranted.

Association between social determinants of health and delayed postoperative adjuvant therapy among patients undergoing resection of pancreatic cancer.

BACKGROUND AND OBJECTIVES: Pancreatic cancer (PDAC) requires a multimodality approach. We sought to define the association between social determinants of health (SDOH) and delayed or nonreceipt of adjuvant chemotherapy (aCT) among patients undergoing PDAC resection. METHODS: Data on patients who underwent PDAC resection between 2014 and 2020 were identified from Medicare Standard Analytic Files and merged with the county-level social vulnerability index (SVI). Mediation analysis defined the association between SVI subthemes and aCT receipt. RESULTS: Among 24 078 patients, 47.7% received timely aCT, 17.7% received delayed aCT, and 34.6% did not receive any aCT. High SVI was associated with delay (odds ratio [OR] 1.22, 95% confidence interval [CI] 1.10-1.34) and nonreceipt of aCT (OR 1.30, 95% CI 1.20-1.41) (both p < 0.05). 73.1% of the variation in timely aCT receipt was directly attributable to SVI, whereas 26.9% of the effect was due to indirect mediators including hospital volume (6.4%), length-of-stay (7.9%) and postoperative complications (12.6%). Socioeconomic status (delayed aCT: OR 1.25, 95% CI 1.13-1.38; nonreceipt aCT: OR 1.25, 95% CI 1.15-1.36) and household composition and disability (delayed aCT: OR 1.30, 95% CI 1.17-1.43; nonreceipt aCT: OR 1.19, 95% CI 1.09-1.29) were associated with receipt of aCT (both p < 0.001). CONCLUSIONS: Most of the disparities in receipt of aCT after PDAC surgery are driven by underlying SDOH such as SVI.

Textbook oncologic outcomes among patients undergoing laparoscopic, robotic and open surgery for intrahepatic and perihilar cholangiocarcinoma.

BACKGROUND: Textbook oncologic outcome (TOO) serves as a composite, oncologic metric for surgical quality of care. We sought to evaluate variations in TOO among patients undergoing laparoscopic, robotic, and open surgery for intrahepatic (iCCA) and perihilar (pCCA) cholangiocarcinoma. METHODS: Patients who underwent liver resection for iCCA and pCCA between 2010 and 2018 were identified from the National Cancer Database. Entropy balancing was performed for covariate balancing and multivariable regression was used to evaluate the association between surgical approach and TOO. RESULTS: Among 5434 patients who underwent hepatic resection between 2010 and 2018, 3888 (71.6%) had iCCA, and 1546 (28.4%) had pCCA. TOO was achieved in 11.7% (n = 454), and 18.8% (n = 291) of patients with iCCA and pCCA, respectively. There was a difference in achievement of TOO relative to operative approach among patients with iCCA (robotic: 6.2% vs. laparoscopic: 8.1% vs. open: 12.5%; p = 0.002). After entropy balancing, patients with iCCA undergoing laparoscopic surgery had 32% reduced odds of achieving TOO (Ref: open surgery; laparoscopic, OR 0.68, 95%CI 0.49-0.93; p = 0.016; robotic, OR 0.69, 95%CI 0.34-1.39; p = 0.298). CONCLUSIONS: Usage of composite oncologic measures such as TOO may allow for a holistic assessment of different approaches to hepatic resection among patients with CCA.

Comparison of tumor response and outcomes of patients with hepatocellular carcinoma after multimodal treatment including immune checkpoint inhibitors - a systematic review and meta-analysis.

BACKGROUND: The efficacy of immune checkpoint inhibitors (ICIs) combined with tyrosine kinase inhibitors (TKIs), trans-arterial chemoembolization (TACE), and radiotherapy to treat hepatocellular carcinoma (HCC) has not been well-defined. We performed a meta-analysis to characterize tumor response and survival associated with multimodal treatment of HCC. METHODS: PubMed, Embase, Medline, Scopus, and CINAHL databases were searched (1990-2022). Random-effect meta-analysis was conducted to compare efficacy of treatment modalities. Odds ratios (OR) and standardized mean difference (SMD) were reported. RESULTS: Thirty studies (4170 patients) met inclusion criteria. Triple therapy regimen (ICI + TKI + TACE) had the highest overall disease control rate (DCR) (87%, 95% CI 83-91), while ICI + radiotherapy had the highest objective response rate (ORR) (72%, 95% CI 54%-89%). Triple therapy had a higher DCR than ICI + TACE (OR 4.49, 95% CI 2.09-9.63), ICI + TKI (OR 3.08, 95% CI 1.63-5.82), and TKI + TACE (OR 2.90, 95% CI 1.61-5.20). Triple therapy demonstrated improved overall survival versus ICI + TKI (SMD 0.72, 95% CI 0.37-1.07) and TKI + TACE (SMD 1.13, 95% CI 0.70-1.48) (both p < 0.05). Triple therapy had a greater incidence of adverse events (AEs) compared with ICI + TKI (OR 0.59, 95% CI 0.29-0.91; p = 0.02), but no difference in AEs versus ICI + TACE or TKI + TACE (both p > 0.05). CONCLUSION: The combination of ICIs, TKIs and TACE demonstrated superior tumor response and survival and should be considered for select patients with advanced HCC.

Machine learning models including preoperative and postoperative albumin-bilirubin score: short-term outcomes among patients with hepatocellular carcinoma.

BACKGROUND: We sought to assess the impact of various perioperative factors on the risk of severe complications and post-surgical mortality using a novel maching learning technique. METHODS: Data on patients undergoing resection for HCC were obtained from an international, multi-institutional database between 2000 and 2020. Gradient boosted trees were utilized to construct predictive models. RESULTS: Among 962 patients who underwent HCC resection, the incidence of severe postoperative complications was 12.7% (n = 122); in-hospital mortality was 2.9% (n = 28). Models that exclusively used preoperative data achieved AUC values of 0.89 (95%CI 0.85 to 0.92) and 0.90 (95%CI 0.84 to 0.96) to predict severe complications and mortality, respectively. Models that combined preoperative and postoperative data achieved AUC values of 0.93 (95%CI 0.91 to 0.96) and 0.92 (95%CI 0.86 to 0.97) for severe morbidity and mortality, respectively. The SHAP algorithm demonstrated that the factor most strongly predictive of severe morbidity and mortality was postoperative day 1 and 3 albumin-bilirubin (ALBI) scores. CONCLUSION: Incorporation of perioperative data including ALBI scores using ML techniques can help risk-stratify patients undergoing resection of HCC.

Prognostic significance of postoperative complications for patients with hepatocellular carcinoma relative to alpha-feto protein and tumor burden score.

BACKGROUND: We sought to elucidate the impact of postoperative complications on patient outcomes relative to differences in alpha-fetoprotein-tumor burden score (ATS) among patients with hepatocellular carcinoma (HCC). METHODS: Patients who underwent resection of HCC between 2000 and 2020 were identified from an international database. Moderate/severe complications were defined using the optimal cut-off value of the comprehensive complication index (CCI) based on the log-rank test. RESULTS: A total of 1124 patients was included. CCI cut-off value of 16.6 was identified as the optimal prognostic threshold. Patients who experienced moderate/severe complications were more likely to have worse recurrence free survival [RFS] versus individuals who had no/mild complications (2-year RFS; no/mild complication: 55.9% vs. moderate/severe complication: 38.1% p < 0.001). Of note, low and medium ATS patients who experienced moderate/severe complications had a higher risk of recurrence (2-year RFS; no/mild complication: postoperative complications 70.0% vs. moderate/severe complication: 51.1%, p = 0.006; medium: no/mild complication: 50.8% vs moderate/severe complication: 56.7%, p = 0.01); however, postoperative complications were not associated with worse outcomes among patients with high ATS (no/mild complication: 39.1% vs. moderate/severe complication: 29.2%, p = 0.20). CONCLUSION: These data serve to emphasize how reduction in postoperative complications may be crucial to improve prognosis, particularly among patients with favorable HCC characteristics.

Impact of an artificial intelligence based model to predict non-transplantable recurrence among patients with hepatocellular carcinoma.

OBJECTIVE: We sought to develop Artificial Intelligence (AI) based models to predict non-transplantable recurrence (NTR) of hepatocellular carcinoma (HCC) following hepatic resection (HR). METHODS: HCC patients who underwent HR between 2000-2020 were identified from a multi-institutional database. NTR was defined as recurrence beyond Milan Criteria. Different machine learning (ML) and deep learning (DL) techniques were used to develop and validate two prediction models for NTR, one using only preoperative factors and a second using both preoperative and postoperative factors. RESULTS: Overall, 1763 HCC patients were included. Among 877 patients with recurrence, 364 (41.5%) patients developed NTR. An ensemble AI model demonstrated the highest area under ROC curves (AUC) of 0.751 (95% CI: 0.719-0.782) and 0.717 (95% CI:0.653-0.782) in the training and testing cohorts, respectively which improved to 0.858 (95% CI: 0.835-0.884) and 0.764 (95% CI: 0.704-0.826), respectively after incorporation of postoperative pathologic factors. Radiologic tumor burden score and pathological microvascular invasion were the most important preoperative and postoperative factors, respectively to predict NTR. Patients predicted to develop NTR had overall 1- and 5-year survival of 75.6% and 28.2%, versus 93.4% and 55.9%, respectively, among patients predicted to not develop NTR (p < 0.0001). CONCLUSION: The AI preoperative model may help inform decision of HR versus LT for HCC, while the combined AI model can frame individualized postoperative care (https://altaf-pawlik-hcc-ntr-calculator.streamlit.app/).