Postoperative Risk Stratification Research Articles

Retinal imaging with hand-held optical coherence tomography in older people with or without postoperative delirium after hip fracture surgery: A feasibility study.

Postoperative delirium in older people may result from the interaction between intrinsic brain vulnerability (e.g. neurodegeneration) and precipitating factors (e.g. surgery induced cytokines). Intrinsic brain vulnerability may be overt (e.g. Alzheimer's disease) or preclinical. In cognitively intact older people presenting for surgery, identification of preclinical neurodegeneration using bedside tools could aid postoperative delirium risk stratification. Thinning of the circumpapillary retinal nerve fibre layer thickness is associated with neurodegenerative disorders e.g. Alzheimer's disease. We propose that thinning of the retinal nerve fibre layer may be present some older people with postoperative delirium due to preclinical neurodegeneration, albeit to a lesser extent than in overt dementia. The primary objective: Feasibility of acquiring usable retinal images with the hand-held optical coherence device, at the bedside of older, hip fracture surgery patients. Secondary objective: Comparison of the circumpapillary retinal nerve fibre layer thickness between people who did/did not have postoperative delirium. Proportion of exclusions due to retinal pathology. Feasibility study involving 30, cognitively intact, older people recovering from hip fracture surgery. Retinal images were obtained using the hand-held optical coherence tomography device at the participants' bedside. Imaging was deferred in participants who had postoperative delirium. Retinal images that could be assessed for circumpapillary retinal nerve fibre layer thickness were obtained in 26 participants (22 no postoperative delirium, 4 postoperative delirium). The mean circumpapillary retinal nerve fibre layer thickness was lower in the participants who had postoperative delirium compared to those who did not experience postoperative delirium (Mean (95% CI) of 76.50 (62.60-90.40) vs 89.19 (85.41-92.97) respectively). Retinal imaging at the patient's bedside, using hand-held OCT is feasible. Our data suggests that the circumpapillary retinal nerve fibre layer may be thinner in older people who experience postoperative delirium compared to those who do not. Further studies are required.

Predictive modeling of perioperative patient deterioration: combining unanticipated ICU admissions and mortality for improved risk prediction

ObjectiveThis paper presents a comprehensive analysis of perioperative patient deterioration by developing predictive models that evaluate unanticipated ICU admissions and in-hospital mortality both as distinct and combined outcomes.Materials and MethodsWith less than 1% of cases resulting in at least one of these outcomes, we investigated 98 features to identify their role in predicting patient deterioration, using univariate analyses. Additionally, multivariate analyses were performed by employing logistic regression (LR) with LASSO regularization. We also assessed classification models, including non-linear classifiers like Support Vector Machines, Random Forest, and XGBoost.ResultsDuring evaluation, careful attention was paid to the data imbalance therefore multiple evaluation metrics were used, which are less sensitive to imbalance. These metrics included the area under the receiver operating characteristics, precision-recall and kappa curves, and the precision, sensitivity, kappa, and F1-score. Combining unanticipated ICU admissions and mortality into a single outcome improved predictive performance overall. However, this led to reduced accuracy in predicting individual forms of deterioration, with LR showing the best performance for the combined prediction.DiscussionThe study underscores the significance of specific perioperative features in predicting patient deterioration, especially revealed by univariate analysis. Importantly, interpretable models like logistic regression outperformed complex classifiers, suggesting their practicality. Especially, when combined in an ensemble model for predicting multiple forms of deterioration. These findings were mostly limited by the large imbalance in data as post-operative deterioration is a rare occurrence. Future research should therefore focus on capturing more deterioration events and possibly extending validation to multi-center studies.ConclusionsThis work demonstrates the potential for accurate prediction of perioperative patient deterioration, highlighting the importance of several perioperative features and the practicality of interpretable models like logistic regression, and ensemble models for the prediction of several outcome types. In future clinical practice these data-driven prediction models might form the basis for post-operative risk stratification by providing an evidence-based assessment of risk.

Loss of ATRX and DAXX in pancreatic neuroendocrine tumors: Association with recurrence risk, cellular phenotype, and heterogeneity

Pancreatic neuroendocrine tumors (PanNETs) comprise a heterogeneous group of neoplasms in terms of biological behavior. This study aims to develop a practical algorithm based on emerging biomarkers, including chromatin-remodeling molecules DAXX/ATRX/H3K36me3, in conjunction with established prognostic factors, such as WHO grade and size. In immunohistochemical analyses, 18 of the 111 (16.2%) primary PanNETs showed DAXX or ATRX loss in a mutually exclusive manner. DAXX/ATRX loss was significantly correlated with higher recurrence risk and better predicted postoperative recurrence than WHO grade. We proposed a novel algorithm for stratifying patients with resectable PanNET into three groups according to recurrence risk: (A) WHO Grade 1 and ≤2 cm (very low-risk); for the others, (B) retained DAXX/ATRX (low-risk) and (C) DAXX/ATRX complete/heterogeneous loss (high-risk). Furthermore, we elucidated the intratumoral heterogeneities of PanNETs. Among cases with DAXX or ATRX loss, nine cases demonstrated heterogeneous loss of expression of DAXX/ATRX/H3K36me3. The majority of cases with DAXX/ATRX loss, either homogeneous or heterogeneous loss, showed uniform α-cell-like phenotype (ARX1+/PDX1−). In cases of metastatic or recurrent tumors, the expression pattern was identical to that observed in at least part of the primary tumor. In some instances, the expression pattern differed among different metastatic or recurrent tumors of the same patient. In summary, we propose a clinically useful and practical algorithm for postoperative recurrence risk stratification in PanNETs, by combining DAXX/ATRX status with WHO grade and size. Moreover, our findings highlighted the frequent spatiotemporal heterogeneity of chromatin-remodeling molecule expression in PanNETs with an α-cell phenotype, offering insights into tumorigenesis.

A simple risk stratification model for prostate cancer using histopathologic findings of radical prostatectomy.

To develop a simple postoperative risk stratification based on histopathologic findings from radical prostatectomy specimens. This study included 3 cohorts of patients with a preoperative diagnosis of clinically localized prostate cancer: 1 derivation cohort (n=432) and 2 validation cohorts (n=506 and n=720). First, a postoperative risk stratification model was developed in the derivation cohort using the factors extraprostatic extension, surgical margin status, seminal vesicle invasion, and lymph node involvement. Each of the first 3 factors was assigned 0 or 1 point for negative or positive results, respectively, and the sum of the points, ranging from 0 to 3, was scored. pN1 was not scored but was analyzed separately. Validation cohorts were then used to evaluate the predictive accuracy of the model. Additionally, we compared the model with the Cancer of the Prostate Risk Assessment (CAPRA) score. Because the log-rank test showed no statistically significant differences between scores 1 vs 2 or score 3 vs pN1 in the derivation cohort, the following 3-level risk stratification was created: low risk (score 0), intermediate risk (score 1-2), and high risk (score 3 or pN1). There were statistically significant differences in recurrence-free survival between any of 2 groups of 3-level risk stratification. This model similarly worked in both validation cohorts. The C indexes for the model were higher than those for the CAPRA score. This simple postoperative risk stratification model, based on radical prostatectomy findings, has a prognostic impact that has been validated in a multicenter population.

Postoperative Delirium and the Older Adult: Untangling the Confusion.

Postoperative delirium is one of the most prevalent postoperative complications, affecting mostly older adults. Its incidence is expected to rise because of surgical advances, shifting demographics, and increased life expectancy. Although an acute alteration in brain function, postoperative delirium is associated with adverse outcomes, including progressive cognitive decline and dementia, that place significant burdens on patients' lives and healthcare systems. This has prompted efforts to understand the mechanisms of postoperative delirium to provide effective prevention and treatment. There are multiple mechanisms involved in the etiology of postoperative delirium that share similarities with the physiological changes associated with the aging brain. In addition, older patients often have multiple comorbidities including increased cognitive impairment that is also implicated in the genesis of delirium. These tangled connections pinpointed a shift toward creation of a holistic model of the pathophysiology of postoperative delirium. Scientific advancements integrating clinical risk factors, possible postoperative delirium biomarkers, genetic features, digital platforms, and other biotechnical and information technological innovations, will become available in the near future. Advances in artificial intelligence, for example, will aggregate cognitive testing platforms with patient-specific postoperative delirium risk stratification studies, panels of serum and cerebrospinal fluid molecules, electroencephalogram signatures, and gut microbiome features, along with the integration of novel polygenetic variants of sleep and cognition. These advances will allow for the enrollment of high-risk patients into prevention programs and help uncover new pharmacologic targets.

Prediction model of deep vein thrombosis risk after lower extremity orthopedic surgery

PurposeThis investigation was conceived to engineer and appraise a pioneering clinical nomogram, crafted to bridge the extant chasm in literature regarding the postoperative risk stratification for deep vein thrombosis (DVT) in the aftermath of lower extremity orthopedic procedures. This novel tool offers a sophisticated and discerning algorithm for risk prediction, heretofore unmet by existing methodologies. MethodsIn this retrospective observational study, clinical records of hospitalized patients who underwent lower extremity orthopedic surgery were collected at the Wuxi TCM Hospital Affiliated to the Nanjing University of Chinese Medicine between Jan 2017 and Oct 2019. The univariate and multivariate analysis with the backward stepwise method was applied to select features for the predictive nomogram. The performance of the nomogram was evaluated with respect to its discriminant capability, calibration ability, and clinical utility. ResultA total of 5773 in-hospital patients were eligible for the study, with the incidence of deep vein thrombosis being approximately 1 % in this population. Among 31 variables included, 5 of them were identified to be the predictive features in the nomogram, including age, mean corpuscular hemoglobin concentration (MCHC), D-dimer, platelet distribution width (PDW), and thrombin time (TT). The area under the receiver operating characteristic (ROC) curve in the training and validation cohort was 85.9 % (95%CI: 79.96 %–90.04 %) and 85.7 % (95%CI: 78.96 %–90.69 %), respectively. Both the calibration curves and decision curve analysis demonstrated the overall satisfactory performance of the model. ConclusionOur groundbreaking nomogram is distinguished by its unparalleled accuracy in discriminative and calibrating functions, complemented by its tangible clinical applicability. This innovative instrument is set to empower clinicians with a robust framework for the accurate forecasting of postoperative DVT, thus facilitating the crafting of bespoke and prompt therapeutic strategies, aligning with the rigorous standards upheld by the most esteemed biomedical journals.

Association of preoperative and postoperative circulating tumour DNA (ctDNA) with PIK3CA gene mutation with risk of recurrence in patients with non-metastatic breast cancer

BackgroundCirculating tumour DNA (ctDNA), contains tumour-specific gene mutation in blood circulation and could aid in postoperative risk stratification of non-metastatic breast cancer. In this study, we investigated the feasibility of detecting PIK3CA gene mutations in ctDNA in the preoperative (preop) and postoperative period (postop), and its prognostic significance in patients with breast cancer. MethodsA cohort of patients with breast cancer undergoing curative surgery with available blood samples preoperatively and postoperatively (Post op) at either Post op time period; week 1–2, week 3–4 or weeks 5–12 were enrolled. PIK3CA gene mutations at exons 9 and 20 were detected in ctDNA with High resolution melting (HRM) PCR and Allele specific fluorescence probe-based PCR. ResultsA total of 62 patients (age, median (IQR), 51.50 (45.0–65.0) years), with a median follow-up of 90 months (interquartile range (IQR),60–120 months) were enrolled. In total, 25 (40.3%) and 22 (35%) patients with breast cancer had detectable PIK3CA gene mutations in ctDNA in preoperative and postoperative period, respectively. PIK3CA gene mutations in ctDNA in postoperative period (hazard ratio (H.R: 18.05, p = 0.001) were a negative prognostic factor for recurrencefree survival (RFS) and overall survival (OS) (H.R: 11.9, p = 0.01) in patients with breast cancer. Subgroup analysis of ctDNA indicate that positive ctDNA in both preoperative/postoperative period and post op period only were found to have prognostic effect on RFS and OS (RFS; p < 0.0001, O·S; p = 0.0007). Moreover, ctDNA-based detection preceded clinical detection of recurrence in patients with an average lead time of 12 months (IQR:20–28.5 months) across all the breast cancer subtypes. ConclusionWe highlighted the prognostic ability of ctDNA in patients with breast cancer in perioperative period. However, future prospective studies are needed to assess the utility of ctDNA in clinical practice

The correlation between preoperative neutrophil-to-lymphocyte ratio and platelet-to-lymphocyte ratio and postoperative recurrence of chronic rhinosinusitis

Objective:Neutrophil-to-lymphocyte ratio （NLR） and platelet-to-lymphocyte ratio （PLR） play important roles in the poor prognosis of different inflammatory and neoplastic diseases, but their effects on postoperative recurrence of chronic rhinosinusitis（CRS） are unknown. The aim of this study was to investigate the correlation between preoperative NLR and PLR and the risk of postoperative recurrence in CRS. Methods:Clinical data were collected from patients with CRS who underwent initial functional endoscopic sinus surgery from October 2018 to February 2022 at our institution. Follow-up was until February 2023, and the study endpoint was defined as patient postoperative recurrence or follow-up time up to date. The optimal preoperative NLR and PLR threshold values were obtained based on subject work curve analysis, and they were divided into high and low level subgroups, respectively, and the clinical characteristics and postoperative recurrence rates of patients were compared between groups; patients were divided into non-recurrent CRS and recurrent CRS according to their postoperative recurrence, and Kaplan-Meier survival curves and logistic regression analysis were performed to explore the correlation between NLR and PLR and CRS The correlation between NLR and PLR and postoperative recurrence was investigated by Kaplan-Meier survival curve and logistic regression analysis. Results:A total of 630 patients with CRS were included, including 382 and 140 patients with high NLR and high PLR, respectively. The postoperative recurrence rates of CRS patients in the high NLR and high PLR groups were significantly higher than those in the low NLR and low PLR groups（P<0.05）. The recurrent CRS had higher NLR and PLR levels and higher proportion of high NLR and high PLR than the non-recurrent CRS（P<0.05）, and similarly the duration of recurrent CRS and the rate of allergic rhinitis with recurrence were significantly higher than the non-recurrent CRS（P<0.05）. Kaplan-Meier survival curves showed that postoperative CRS was significantly higher in the high NLR and high PLR groups compared with the low NLR and low PLR groups. recurrence was significantly higher（P<0.05）. In addition, logistic regression analysis showed that high NLR, high PLR, disease duration, and combined allergic rhinitis were significantly associated with an increased risk of postoperative recurrence of CRS（P<0.05）. Conclusion:Both high preoperative NLR and high PLR are independent risk factors for postoperative recurrence of CRS, and they are expected to be new indicators for postoperative prognostic assessment and risk stratification of CRS patients. In addition, disease duration and comorbid allergic rhinitis were significantly associated with the risk of postoperative recurrence of CRS.

Chapter 11: Pediatric Differentiated Thyroid Cancers

ABSTRACT The document discusses pediatric differentiated thyroid cancer (DTC), focusing on papillary thyroid carcinoma (PTC), which is increasingly prevalent globally, including in India. Despite a more aggressive initial presentation in children, the long-term prognosis is generally positive. Key differences between pediatric and adult DTC are highlighted, such as a higher risk of malignancy in children with thyroid nodules and common RET/PTC gene rearrangements. There is a debate on the age cutoff for defining pediatric DTC, but the document suggests that 18 years is considered appropriate in the Indian context. Diagnostic methods, including ultrasonography-guided fine needle aspirate (FNA) and the Bethesda System for Reporting Thyroid Cytopathology (TBSRTC), are emphasized. The importance of genomic analysis for indeterminate cytology is also proposed. Treatment approaches involve total thyroidectomy due to higher multifocality in children, with consideration of potential complications. Post-operative risk stratification, utilizing the TNM staging system, is seen as crucial and correlates with disease-free survival. Post-operative staging includes TSH-stimulated thyroglobulin (Tg) and anti-thyroglobulin antibody (ATg) levels, along with a diagnostic whole-body 131I scan to assess surgical completeness. Radioactive iodine therapy (RAI) is recommended for iodine-avid persistent/metastatic disease, with an empirical activity of 30 mCi for remnant ablation and adjustments based on age or weight. Regular follow-ups include monitoring TSH-suppressed Tg, Anti-Tg levels, and neck ultrasound. Dynamic risk stratification at 2 years refines risk based on treatment responses. Genetic considerations reveal prevalent RET fusion oncogene and less common BRAF mutations, which are associated with RAI refractoriness. In summary, the document provides a comprehensive understanding of pediatric DTC, emphasizing the need for tailored guidelines in the Indian context. It covers various aspects of diagnosis, surgery, and post-operative care, with a focus on age-appropriate management and ongoing research in this specialized field.

Prognostic implications of alpha-fetoprotein and C-reactive protein elevation in hepatocellular carcinoma following resection (PACE): a large cohort study of 2770 patients

BackgroundRoutine clinical staging for hepatocellular carcinoma (HCC) incorporates liver function, general health, and tumor morphology. Further refinement of prognostic assessments and treatment decisions may benefit from the inclusion of tumor biological marker alpha-fetoprotein (AFP) and systemic inflammation indicator C-reactive protein (CRP).MethodsData from a multicenter cohort of 2770 HCC patients undergoing hepatectomy were analyzed. We developed the PACE risk score (Prognostic implications of AFP and CRP Elevation) after initially assessing preoperative AFP and CRP’s prognostic value. Subgroup analyzes were performed in BCLC cohorts A and B using multivariable Cox analysis to evaluate the prognostic stratification ability of the PACE risk score and its complementary utility for BCLC staging.ResultsPreoperative AFP ≥ 400ng/mL and CRP ≥ 10 mg/L emerged as independent predictors of poorer prognosis in HCC patients who underwent hepatectomy, leading to the creation of the PACE risk score. PACE risk score stratified patients into low, intermediate, and high-risk groups with cumulative 5-year overall (OS) and recurrence-free survival (RFS) rates of 59.6%/44.9%, 43.9%/38.4%, and 20.6%/18.0% respectively (all P < 0.001). Increased PACE risk scores correlated significantly with early recurrence and extrahepatic metastases frequency (all P < 0.001). The multivariable analysis identified intermediate and high-risk PACE scores as independently correlating with poor postoperative OS and RFS. Furthermore, the PACE risk score proficiently stratified the prognosis of BCLC stages A and B patients, with multivariable analyses demonstrating it as an independent prognostic determinant for both stages.ConclusionThe PACE risk score serves as an effective tool for postoperative risk stratification, potentially supplementing the BCLC staging system.

Pretreatment MRI–Based Radiomics for Prediction of Rectal Cancer Outcome: A Discovery and Validation Study

Accurate prediction of local recurrence or distant metastasis is critical for developing individualized therapies for locally advanced rectal cancer (LARC) patients after standard therapy. This study aims to develop and validate a multiparameter MRI-based radiomics signature (RS) for prognostic prediction in LARC patients receiving neoadjuvant chemoradiotherapy (nCRT) and total mesorectal excision (TME) and to explore the ability of RS for personalized survival risk stratification. In this multi-center study, 454 patients who received nCRT and TME and completed 3 years of follow-up participated. RS was constructed for prognostic prediction based on features extracted from pretreatment multiparameter MRI in a training cohort (TC; n=298), which was tested in an internal validation cohort (IVC; n=75) and further validated in an independent external validation cohort (EVC; n=81). Furthermore, the ability of RS for personalized survival risk stratification was explored using the Kaplan-Meier survival curves. The RS model showed satisfactory accuracy for prognostic prediction with AUCs of 0.83, 0.81 and 0.82 in the TC, IVC and EVC, respectively. In addition, RS helped to refine risk stratification for LARC patients on the basis of significantly different 3-year disease-free survival rates, independent of their pathological stage, pre-surgery CEA, and even treatment modality. The proposed RS can be used not only to predict local recurrence or distant metastasis but also to serve as an effective postoperative survival risk stratification tool for clinicians to facilitate decision-making for LARC patients receiving standard treatment.

Pathology and new insights in thyroid neoplasms in the 2022 WHO classification

Purpose of review The assessment of thyroid nodules is a common clinical problem, linked to the high incidence of thyroid nodules in the population and the low incidence of aggressive thyroid carcinoma. The screening is therefore one of the strengths of our patient care. Recently, the 2023 Bethesda System for Reporting Thyroid Cytopathology (TBSRTC) and 2022 WHO classification of thyroid neoplasms have been released based on the definition of new entities and the growing impact of molecular testing. The aim of this review is to analyze how these upgrades can help us in the daily routine practice diagnosis of thyroid cancer. Recent findings Our review is focused on the most frequent thyroid tumors derived from thyroid follicular cell. Fine needle aspiration (FNA) is the gold standard for the screening of thyroid nodules with very high levels of sensitivity and specificity. These sensitivity and specificity are improved by molecular testing, which refines the risk of malignancy. The 2023 TBSRTC integrates molecular data and the upgrades integrated in the 2022 WHO classification such as the ‘low-risk neoplasms’ and the ‘high-grade follicular-cells derived carcinoma’. The morphological examination remains crucial since the capsular and/or vascular invasion are key features of malignancy in the follicular thyroid neoplasms. Low-risk neoplasms represent a clinical challenge since no specific guidelines are available. Challenges remain regarding oncocytic thyroid lesions, which are not associated with specific diagnostic molecular biomarkers. Molecular testing can help not only in deciphering the prognosis but also in the targeted therapeutic strategy. Summary While molecular testing has succeeded to substantially improve the pre and postoperative diagnosis and risk stratification of thyroid tumors, the morphological examination is still central in the daily routine diagnosis of thyroid pathology. Future is the integrated diagnosis of clinical, morphological, molecular and epigenetic features with the help of artificial intelligence algorithms.

Predicting Risk of 30-day Postoperative Morbidity Using the Pathologic Fracture Mortality Index.

The purpose of this study was to evaluate the ability of the Pathologic Fracture Mortality Index (PFMI) to predict the risk of 30-day morbidity after pathologic fracture fixation and compare its efficacy with those of the American Society of Anesthesiologists (ASA) physical status, modified Charlson Comorbidity Index (mCCI), and modified frailty index (mFI-5). Cohorts of 1,723 patients in the American College of Surgeons National Surgical Quality Improvement Program database from 2005 to 2020 and 159 patients from a tertiary cancer referral center who underwent fixation for impending or completed pathologic fractures of long bones were retrospectively analyzed. National Surgical Quality Improvement Program morbidity variables were categorized into medical, surgical, utilization, and all-cause. PFMI, ASA, mCCI, and mFI-5 scores were calculated for each patient. Area under the curve (AUC) was used to compare efficacies. AUCs predicting all-cause morbidity were 0.62, 0.54, and 0.56 for the PFMI, ASA, and mFI-5, respectively. The PFMI outperformed the ASA and mFI-5 in predicting all-cause ( P < 0.01), medical ( P = 0.01), and utilization ( P < 0.01) morbidities. In the 2005 to 2012 subset, the PFMI outperformed the ASA, mFI-5, and mCCI in predicting all-cause ( P = 0.01), medical ( P = 0.03), and surgical ( P = 0.05) morbidities but performed similarly to utilization morbidity ( P = 0.19). In our institutional cohort, the AUC for the PFMI in morbidity stratification was 0.68. The PFMI was associated with all-cause (odds ratio [OR], 1.30; 95% confidence interval [CI], 1.12 to 1.51; P < 0.001), medical (OR, 1.19; 95% CI, 1.03 to 1.40; P = 0.046), and utilization (OR, 1.32; 95% CI, 1.14 to 1.52; P < 0.001) morbidities but not significantly associated with surgical morbidity (OR, 1.21; 95% CI, 0.98 to 1.49; P = 0.08) in this cohort. The PFMI is an advancement in postoperative morbidity risk stratification of patients with pathologic fracture from metastatic disease. III.

Circulating tumor DNA detection as a prognostic tool in patients with localized colon cancer: A systematic review and meta-analysis.

e15629 Background: Current modalities for postoperative risk stratification in localized colon cancer are still suboptimal in guiding adjuvant chemotherapy (ACT) administration. In recent years, circulating tumor DNA (ctDNA) has emerged as a novel biomarker to identify patients at high-risk for recurrence following R0 tumor resection. In this meta-analysis, we aimed to assess the prognostic value of ctDNA detection on postoperative recurrence risk that in the future, with further study, may help guide ACT treatment. Methods: Electronic databases Pubmed, Google Scholar, and Embase were searched up to 31 January 2023. Patient data were extracted using the following inclusion criteria: stage I to III colon cancers, R0 resection, sufficient ctDNA data following surgery, and no other concurrent malignancy. Pooled relative risk (RR) and 95% confidence interval (CI) were estimated to assess ctDNA positivity on the risk of recurrence in patients having surgery only, patients having surgery followed by ACT, and all patients combined. Random effects model was implemented to account for inter-study variation. Study heterogeneity was detected using χ2 test and I2 coefficient, with I2 more than 50% indicating significant heterogeneity. All analyses were completed using RevMan 5, with p &lt; 0.05 being statistically significance. Results: Fifteen studies with a total of 3411 patients (64.4±10.7 years old) were evaluated. In patients undergoing surgery only without ACT treatment, postoperative ctDNA-positive patients were at higher risk of recurrence compared to those with negative ctDNA (RR = 7.73, 95% CI: 5.73-10.42, p &lt; 0.01, I2= 0%). In patients having surgery followed by ACT, postoperative/pre-ACT ctDNA-positive patients were at higher risk of recurrence compared to ctDNA-negative ones (RR = 5.25, 95% CI: 3.67-7.50, p &lt; 0.01, I2= 19%); post-ACT ctDNA-positive patients were also at higher risk of recurrence (RR = 6.34, 95% CI: 4.12-9.78, p &lt; 0.01, I2= 29%). When combining the two populations (surgery only and surgery followed by ACT), postoperative ctDNA-positive patients again have higher risk of recurrence (RR = 3.86, 95% CI: 2.63-5.67, p &lt; 0.01, I2= 87%); after completing all treatments, ctDNA-positive patients continue to have higher risk of recurrence (RR = 7.02, 95% CI: 3.40-14.51, p &lt; 0.01, I2= 94%). Conclusions: This meta-analysis shows that the presence of ctDNA post-surgery correlates with higher risk of disease recurrence. In localized colon cancers, ctDNA detection can be a valuable tool to identify high-risk patients who, regardless of pathologic stage, may be the most likely to benefit from ACT treatment. Additionally, patients with persistently positive ctDNA after completing ACT are at very high risk for recurrence and should require closer follow-up than current guidelines, along with consideration of enrollment in clinical trials of newer treatment strategies.

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.

Lymph node ratio-based prognostic model for risk stratification and individualized adjuvant therapy for postoperative major salivary duct carcinoma.

To investigate the value of lymph node ratio (LNR) for postoperative major salivary duct carcinoma (MSDC) and to establish a model for prognosis assessment and treatment optimization. Data of MSDC were retrieved in public database, and prognostic factors were identified by univariate and multivariate analyses. A nomogram and risk stratification system were constructed. Four hundred and eleven eligible patients were included (training cohort vs. validation cohort: 287: 124). LNR ≥0.09 was associated with worse overall survival (OS). Age at diagnosis, sex, T stage, and LNR were identified as prognostic factors and integrated into nomogram. Low-risk patients were found to have better OS than high-risk patients. Furthermore, postoperative radiotherapy (PORT) significantly improved OS in the high-risk subgroup, but chemotherapy did not confer a long-term survival benefit. A nomogram model integrating LNR could better assess postoperative prognosis and risk stratification in MSDC, and identify patients who might benefit from PORT to avoid overtreatment.

Free Tissue Transfer to the Lower Extremity in the Setting of Thrombocytosis and the Role of Antiplatelet Therapy: A Propensity Score-Matched Analysis.

Free tissue transfer (FTT) provides a versatile method to achieve successful lower limb salvage. Thrombocytosis in patients undergoing lower extremity (LE) FTT is associated with increased risk of complications. The aims of this study were to assess the feasibility of performing LE FTT in patients with preoperative thrombocytosis, and whether antiplatelet (AP) therapy on the day of surgery (DOS) affects outcomes. A retrospective review of thrombocytotic patients who underwent LE FTT between 2011 and 2022 was performed. Patients were stratified into groups based on the receipt of AP therapy on the DOS. Patients were propensity score matched for comorbidity burden and postoperative risk stratification. Outcomes of interest included perioperative transfusion requirements, postoperative flap-related complications, rates of flap success, limb salvage, and ambulatory status. Of the 279 patients who underwent LE FTT, 65 (23.3%) were found to have preoperative thrombocytosis. Fifty-three patients remained following propensity score matching; of which, 32 (60.4%) received AP therapy on the DOS and 21 (39.6%) did not. Overall flap success rate was 96.2% (n = 51). The likelihoods of thrombosis and hematoma development were similar between cohorts (p = 0.949 and 0.574, respectively). Receipt of DOS AP therapy was associated an additional 2.77 units and 990.10 mL of transfused blood (p = 0.020 and 0.018, respectively). At a mean follow-up of 20.7 months, overall limb salvage and ambulatory rates were 81.1% (n = 43) and 79.2% (n = 42), respectively, with no differences between cohorts. Preoperative thrombocytosis is not an absolute contraindication to LE FTT. DOS AP therapy may be protective in comorbid patients with elevated platelet counts but must be weighed against possible short-term bleeding as suggested by significant increases in postoperative transfusion requirements.

Artificial intelligence in pancreatic surgery: current applications

Surgery plays a central role in the treatment of benign and malignant pancreatic diseases. Artificial intelligence (AI) is an important upcoming technology to support surgeons in pre-, intra-, and postoperative diagnosis, decision-making and training toward an optimized patient care. Current AI applications show a promising role in the evaluation of preoperative images for prediction of malignancy and resectability, intraoperative decision support, surgical training as well as a postoperative risk stratification to personalize the management of complications. This scoping review summarizes the most up to date developments of AI in pancreatic surgery with the highest available level of evidence.

Abstract 3359: Sensitive detection of locoregional MRD after head and neck cancer surgery

Abstract Background: Plasma cell-free DNA (cfDNA) has low sensitivity to detect locoregional molecular residual disease (MRD) immediately after surgery for limited-stage head and neck cancer. To enhance locoregional MRD sensitivity, we utilize a novel biofluid proximal to the primary tumor: the serosanguinous fluid collected by surgical drains inserted into the wound bed following regional lymph node dissection. We demonstrate that cancer-associated cfDNA in the surgical drain fluid (SDF) is a sensitive biomarker of locoregional MRD detection, risk stratification, and prognostication. Methods: We extracted DNA from 168 SDFs, 48 paired plasmas, and 44 tumor specimens collected 24 hours after surgery from 90 patients: 74 HPV (+) oropharyngeal cancers (OPC), 8 HPV (-) oral cancers, 2 thyroid cancers, and 6 benign neck pathologies. SDFs were also collected at 0, 6, 12, and 24 hours after surgery from 11 HPV (+) patients. We applied TaqMan qPCR to our specimens to quantify cell-free HPV (cf-HPV), a proxy for cancer-associated cfDNA in HPV (+) malignancies. We then measured the association between cf-HPV and extranodal extension (ENE), AJCC 8 staging, and established clinical and pathological risk criteria from 4 HPV (+) OPC clinical trials. We validated our findings using HPV next-generation sequencing. We also compared the predictive value of high-risk pathology with cf-HPV MRD for HPV (+) OPC recurrences. Lastly, we developed a second assay for cell-free BRAF V600E (cf-V600E) in thyroid cancer SDF. Results: Serially collected SDF revealed cf-HPV decreased continuously from 0 to 24 hours postoperative, and that the 24-hour timepoint stratified detectable versus undetectable persistent residual disease. At 24 hours, SDF was significantly more enriched with cf-HPV compared to plasma (P &amp;lt; 0.0001). In a subset of 9 patients, HPV genotype and detection in SDF were 100% concordant between NGS and PCR. Strikingly, SDF cf-HPV was 11-fold higher in pN2 patients versus pN1/N0 (P = 0.02) and 15-fold higher in cases with ENE (P = 0.003), suggesting SDF reflects aggressive nodal pathology and captures locoregional MRD. When we classified our patients according to established clinical and pathological risk criteria, we found significantly higher SDF cf-HPV among high-risk patients (AUC = 0.77). Crucially, in HPV (+) patients treated with surgery alone, SDF MRD detected 100% of locoregional recurrences, while plasma MRD and high-risk pathology detected 0%. Lastly, as proof of concept, we demonstrated SDF cf-V600E detection in the context of high-risk thyroid cancer. Conclusions: Surgical drain fluid cancer-associated cfDNA is a novel minimally invasive biomarker. Our SDF assay was strongly associated with high-risk criteria and detected locoregional relapse with 100% sensitivity compared to 0% in plasma. Our data suggest that SDF liquid biopsy is ultra-sensitive and has the potential to inform postoperative molecular-based risk stratification. Citation Format: Noah Earland, Ricardo J. Ramirez, Sophie P. Gerndt, Peter K. Harris, Andrew I. Hearn, Matthew Inkman, Jeffrey J. Szymanski, Nick Semenkovich, Benjamin M. Wahle, Zhongping Xu, Kevin Chen, Jin Zhang, Jose P. Zevallos, Aadel A. Chaudhuri. Sensitive detection of locoregional MRD after head and neck cancer surgery [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 1 (Regular and Invited Abstracts); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(7_Suppl):Abstract nr 3359.

Impact of microscopic extrathyroidal extension on differentiated thyroid cancer post-surgical risk of recurrence: a retrospective analysis

PurposeIn the last edition of the American Joint Committee on Cancer (AJCC) staging system, differentiated thyroid cancers (DTC) showing microscopic extrathyroidal extension (mETE) are considered comparable to intrathyroidal cancers for their clinical behavior and prognosis. The aim of the study is to evaluate the impact of this updated assessment of T, when applied to the postoperative recurrence risk stratification, according to the American Thyroid Association Guidelines (ATA-RR).MethodsOne-hundred DTC patients who underwent total thyroidectomy were retrospectively evaluated. The downstaging of mETE was introduced in the definition of T, and the updated classification defined as modified ATA-RR (ATAm-RR). For each patient, post-surgical basal and stimulated thyroglobulin (Tg) levels, neck ultrasound (US) and post-ablative 131-I whole body scan (WBS) reports were considered. The predictive performance (PP) of disease recurrence was calculated both for each single parameter, as well as for all of them.ResultsAccording to ATAm-RR classification, 19/100 patients (19%) were downstaged. ATA-RR proved a significant PP for disease recurrence (DR) (sensitivity 75.0%, specificity 63.0%, p = 0.023). However, ATAm-RR performed slightly better due to an increased specificity (sensitivity 75.0%, specificity 83.7%, p < 0.001). For both classifications, the PP was optimal when all the above-mentioned predictive parameters were considered.ConclusionOur results suggest that the new assessment of T considering mETE resulted in a downgrading of ATA-RR class in a significant number of patients. This provides a better PP for disease recurrence, and the best PP was obtained when considering the whole predictive variables together.