Preoperative Risk Stratification Research Articles

The prognostic value of preoperative systemic inflammatory response index in predicting outcomes of acute type A aortic dissection patients underwent surgical treatment

BackgroundThe systemic inflammatory response index (SIRI) is a novel inflammatory-immune biological marker that has prognostic value in various cardiovascular diseases. This study aims to investigate the relationship between SIRI and short-term and long-term prognosis in patients with acute type A aortic dissection (AAAD) underwent surgical treatment.MethodsWe conducted a retrospective analysis of patients with AAAD who underwent emergency surgical treatment at our center. Through multifactorial logistics regression analysis and cox proportional hazards regression analysis, we identified SIRI as an independent risk factor for major adverse events (MAEs) and long-term aorta-related adverse events (ARAEs) post-surgery. The optimal cutoff value of preoperative SIRI was determined using receiver operating characteristic (ROC) curve analysis, and patients were divided into low SIRI group and high SIRI group. The prognostic outcomes at different time points post-surgery for the two groups of patients were analyzed using Kaplan-Meier survival analysis, and the significance was determined by log-rank test.ResultsA total of 691 AAAD patients were included in this study. Among them, 50 patients (7.2%) died within 30 days post-surgery, and 175 patients (25.3%) experienced MAEs. A total of 641 patients were followed up, with an average follow-up time of 33.5 ± 17.5 months, during which 113 patients (17.6%) experienced ARAEs. The results of multifactorial logistics regression analysis and cox proportional hazards regression analysis showed that SIRI was an independent risk factor for postoperative MAEs (OR=3.148, 95%CI[1.650-6.006], p<0.001) and ARAEs (HR=2.248, 95%CI[1.050-4.809], p<0.037). Kaplan-Meier analysis demonstrated that the MAEs-free survival in the high SIRI group was significantly lower than that in the low SIRI group, and a similar trend was observed in the ARAEs-free survival during follow-up (log-rank test, p<0.001).ConclusionPreoperative SIRI is significantly associated with the short-term and long-term prognosis of AAAD patients underwent emergency open surgery, demonstrating its valuable prognostic value. Therefore, preoperative SIRI is a reliable biological marker that can serve as a valuable tool for preoperative risk stratification and decision management.

Frailty in intracranial meningioma resection: the risk analysis index demonstrates strong discrimination for predicting non-home discharge and in-hospital mortality.

Frailty is an independent risk factor for adverse postoperative outcomes following intracranial meningioma resection (IMR). The role of the Risk Analysis Index (RAI) in predicting postoperative outcomes following IMR is nascent but may inform preoperative patient selection and surgical planning. IMR patients from the Nationwide Inpatient Sample were identified using diagnostic and procedural codes (2019-2020). The relationship between preoperative RAI-measured frailty and primary outcomes (non-home discharge (NHD), in-hospital mortality) and secondary outcomes (extended length of stay (eLOS), complication rates) was assessed via multivariate analyses. The discriminatory accuracy of the RAI for primary outcomes was measured in area under the receiver operating characteristic (AUROC) curve analysis. A total of 23,230 IMR patients (mean age = 59) were identified, with frailty statuses stratified by RAI score: 0-20 "robust" (R)(N = 10,665, 45.9%), 21-30 "normal" (N)(N = 8,895, 38.3%), 31-40 "frail" (F)(N = 2,605, 11.2%), and 41+ "very frail" (VF)(N = 1,065, 4.6%). Rates of NHD (R 11.5%, N 29.7%, F 60.8%, VF 61.5%), in-hospital mortality (R 0.5%, N 1.8%, F 3.8%, VF 7.0%), eLOS (R 13.2%, N 21.5%, F 40.9%, VF 46.0%), and complications (R 7.5%, N 11.6%, F 15.7%, VF 16.0%) significantly increased with increasing frailty thresholds (p < 0.001). The RAI demonstrated strong discrimination for NHD (C-statistic: 0.755) and in-hospital mortality (C-statistic: 0.754) in AUROC curve analysis. Increasing RAI-measured frailty is significantly associated with increased complication rates, eLOS, NHD, and in-hospital mortality following IMR. The RAI demonstrates strong discrimination for predicting NHD and in-hospital mortality following IMR, and may aid in preoperative risk stratification.

Navigating complexities and considerations for suspected anastomotic leakage in the upper gastrointestinal tract: A state of the art review

Navigating complexities and considerations for suspected anastomotic leakage in the upper gastrointestinal tract: A state of the art review

Preoperative Risk Stratification for Gastric Cancer: The Establishment of Dual-Energy CT-Based Radiomics Using Prospective Datasets at Two Centers

ObjectiveTo evaluate the performance of dual-energy CT (DECT)-based radiomics models for identifying high-risk histopathologic phenotypes - serosal invasion (pT4a), lymph node metastasis (LNM), lymphovascular invasion (LVI) and perineural invasion (PNI) in gastric cancer. Material and MethodsThis prospective bi-center study recruited histologically confirmed gastric adenocarcinoma patients who underwent triple-phase enhanced DECT before gastrectomy between January 2021 and July 2023. Radiomics features were extracted from polychromatic/monochromatic (40keV, 100 keV)/iodine images at arterial/venous/delay phase, respectively. Predictive features were selected in the training dataset using logistic regression classifier, and trained models were applied to the external validation dataset. Performances of clinical models, conventional contrast enhanced CT (CECT) models and DECT models were evaluated using areas under the receiver operating characteristic curve (AUCs). ResultsIn total, 503 patients were recruited: 396 at training dataset (60.1 ± 10.8 years, 110 females, 286 males) and 107 at validation dataset (61.4 ± 9.5 years, 29 females, 78 males). DECT models dichotomizing pT4a, LNM, LVI, and PNI achieved AUCs of 0.891, 0.817, 0.834, and 0.889, respectively, in the validation dataset, similar with the CECT models. In the training dataset, compared with the CECT model, the DECT model provided increased performance for identifying pT4a, LNM, LVI (all P＜0.05), and similar performance for stratifying PNI (P = 0.104). The DECT models was associated with patient disease-free survival (all P ＜0.05). ConclusionDECT radiomics can stratify patients preoperatively according to high-risk histopathologic phenotypes for gastric cancer and are associated with patient disease-free survival in the training dataset.

Predicting short-term thromboembolic risk following Roux-en-Y gastric bypass using supervised machine learning.

Roux-en-Y gastric bypass (RYGB) is a widely recognized bariatric procedure that is particularly beneficial for patients with class III obesity. It aids in significant weight loss and improves obesity-related medical conditions. Despite its effectiveness, postoperative care still has challenges. Clinical evidence shows that venous thromboembolism (VTE) is a leading cause of 30-d morbidity and mortality after RYGB. Therefore, a clear unmet need exists for a tailored risk assessment tool for VTE in RYGB candidates. To develop and internally validate a scoring system determining the individualized risk of 30-d VTE in patients undergoing RYGB. Using the 2016-2021 Metabolic and Bariatric Surgery Accreditation Quality Improvement Program, data from 6526 patients (body mass index ≥ 40 kg/m2) who underwent RYGB were analyzed. A backward elimination multivariate analysis identified predictors of VTE characterized by pulmonary embolism and/or deep venous thrombosis within 30 d of RYGB. The resultant risk scores were derived from the coefficients of statistically significant variables. The performance of the model was evaluated using receiver operating curves through 5-fold cross-validation. Of the 26 initial variables, six predictors were identified. These included a history of chronic obstructive pulmonary disease with a regression coefficient (Coef) of 2.54 (P < 0.001), length of stay (Coef 0.08, P < 0.001), prior deep venous thrombosis (Coef 1.61, P < 0.001), hemoglobin A1c > 7% (Coef 1.19, P < 0.001), venous stasis history (Coef 1.43, P < 0.001), and preoperative anticoagulation use (Coef 1.24, P < 0.001). These variables were weighted according to their regression coefficients in an algorithm that was generated for the model predicting 30-d VTE risk post-RYGB. The risk model's area under the curve (AUC) was 0.79 [95% confidence interval (CI): 0.63-0.81], showing good discriminatory power, achieving a sensitivity of 0.60 and a specificity of 0.91. Without training, the same model performed satisfactorily in patients with laparoscopic sleeve gastrectomy with an AUC of 0.63 (95%CI: 0.62-0.64) and endoscopic sleeve gastroplasty with an AUC of 0.76 (95%CI: 0.75-0.78). This simple risk model uses only six variables to assist clinicians in the preoperative risk stratification of RYGB patients, offering insights into factors that heighten the risk of VTE events.

Low serum creatinine levels are associated with major post-operative complications in patients undergoing surgery with gynecologic oncologists

ObjectiveSerum creatinine is a byproduct of muscle metabolism, and low creatinine is postulated to be associated with diminished muscle mass. This study examined the association between low pre-operative serum creatinine...

Anaesthetic concerns of a child with symptomatic vitamin D deficiency rickets with secondary hyperparathyroidism: A case report.

Rickets is a paediatric bone disorder characterised by defective mineralisation of bony matrix due to abnormalities in calcium and phosphate metabolism. Despite being a common disease globally, literature on the anaesthetic concerns in rickets are scant. Herein, we describe the management of a 12-year-old child with symptomatic vitamin D deficiency rickets with secondary hyperparathyroidism, undergoing general anaesthesia for an urgent orthopaedic procedure. There are numerous risks involved in such a case, such as hypocalcemia, hypophosphatemia, chest and vertebral deformities, restrictive lung disease, difficult intubation and weaning, difficult regional anaesthesia, chronic bone pain, infectious complications and postoperative decreased renal function, all of which require careful preoperative assessment and risk stratification. In elective surgeries, it is important to optimise the metabolic parameters before taking up the case. However, in urgent and emergent procedures like ours, it is imperative to take up the case after informing the parents of the risks involved.

CT-based radiomics research for discriminating the risk stratification of pheochromocytoma using different machine learning models: a multi-center study.

The purpose of this study was to explore and verify the value of various machine learning models in preoperative risk stratification of pheochromocytoma. A total of 155 patients diagnosed with pheochromocytoma through surgical pathology were included in this research (training cohort: n = 105; test cohort: n = 50); the risk stratification scoring system classified a PASS score of < 4 as low risk and a PASS score of ≥ 4 as high risk. From CT images captured during the non-enhanced, arterial, and portal venous phase, radiomic features were extracted. After reducing dimensions and selecting features, Logistic Regression (LR), Extra Trees, and K-Nearest Neighbor (KNN) were utilized to construct the radiomics models. By adopting ROC curve analysis, the optimal radiomics model was selected. Univariate and multivariate logistic regression analyses of clinical radiological features were used to determine the variables and establish a clinical model. The integration of radiomics and clinical features resulted in the creation of a combined model. ROC curve analysis was used to evaluate the performance of the model, while decision curve analysis (DCA) was employed to assess its clinical value. 3591 radiomics features were extracted from the region of interest in unenhanced and dual-phase (arterial and portal venous phase) CT images. 13 radiomics features were deemed to be valuable. The LR model demonstrated the highest prediction efficiency and robustness among the tested radiomics models, with an AUC of 0.877 in the training cohort and 0.857 in the test cohort. Ultimately, the composite of clinical features was utilized to formulate the clinical model. The combined model demonstrated the best discriminative ability (AUC, training cohort: 0.887; test cohort: 0.874). The DCA of the combined model showed the best clinical efficacy. The combined model integrating radiomics and clinical features had an outstanding performance in differentiating the risk of pheochromocytoma and could offer a non-intrusive and effective approach for making clinical decisions.

Role of Ultrasound and Ultrasound-Based Prediction Model in Differentiating Follicular Thyroid Carcinoma From Follicular Thyroid Adenoma.

This study aims to identify distinct ultrasound (US) characteristics for distinguishing follicular thyroid carcinoma (FTC) from follicular thyroid adenoma (FTA), and construct a user-friendly preoperative risk stratification model for thyroid follicular neoplasms. In this retrospective study, patients diagnosed with pathologically confirmed FTA or FTC and undergoing US examinations between July 2017 and June 2021 were designated as the training cohort, and those from July 2021 to June 2023 were enrolled as the external validation set. We systematically assessed and compared the sonographic and clinical characteristics of FTC and FTA. Univariable and multivariable logistic regression analyses were used to assess the association of US features with FTC in the training set. A prediction nomogram model, incorporating US features independently associated with FTC, was developed and validated externally to assess its performance. A total of 645 patients (FTA/FTC = 530/115) were included in the training set, while 197 patients (FTA/FTC = 165/32) constituted the validation set. In the training set, solid composition, hypo-echogenicity, irregular margin, calcification, protrusion sign, trabecular formation, absent or thick halo, and mainly central hypervascularity were identified as independent factors associated with FTC. The prediction nomogram model constructed using these variables showed good performance in differentiating FTC from FTA with an area under the curve of 0.948 in the training set and 0.915 in the validation set. The preoperative nomogram model constructed based on US features serves as an effective tool for the risk stratification of thyroid follicular neoplasms.

Factors Associated With Episode of Care Adverse Events After Humerus Nonunion Repair.

Humeral nonunions have devastating negative effects on patients' upper extremity function and health-related quality of life. The objective of this study was to identify factors independently associated with 30-day complication, hospital readmission, and reoperation after surgical treatment of humeral nonunions. A retrospective case-control study was performed using the American College of Surgeons National Surgical Quality Improvement Program database by querying the Current Procedural Terminology codes for patients who underwent humeral nonunion repair from 2011 to 2020. The study outcomes were 30-day complication, hospital readmission, and reoperation. Of the 1306 patients in our cohort, 135 patients (10%) developed a complication, 66 patients (5%) were readmitted to the hospital, and 44 patients (3%) underwent reoperation during the 30-day postoperative period. Multivariable logistic regression analysis showed that older age, longer operative time, partially dependent functional status, congestive heart failure, bleeding disorder, and contaminated wound classification were associated with 30-day complication after humeral nonunion repair. Older age and disseminated cancer were associated with 30-day reoperation after humeral nonunion repair. Disseminated cancer was associated with 30-day readmission after humeral nonunion repair. Using a large database over a recent 10-year period, we identified demographic and comorbid factors independently associated with episode of care adverse events after humeral nonunion repair. Patients 50 years or older had approximately three times the incidence of complications, readmissions, and reoperations in the first month after humeral nonunion repair compared with patients younger than 50 years. Our findings are relevant for preoperative risk stratification and counseling. [Orthopedics. 202x;4x(x):xx-xx.].

Association of preoperative sarcopenia with the long-term prognosis of patients with bladder cancer undergoing radical cystectomy

PurposeThis retrospective study aimed to assess the correlation between preoperative sarcopenia and long-term oncologic outcomes in patients undergoing radical cystectomy for bladder cancer.MethodsWe included 528 patients who underwent radical cystectomy for bladder cancer between 2000 and 2010 at Asan Medical Center, Seoul, Korea. Preoperative skeletal muscle mass was quantified by analyzing computed tomography images at the third lumbar vertebra. Sarcopenia was defined based on the skeletal muscle index. We evaluated various clinical and pathological factors to analyze the association between sarcopenia and long-term oncologic outcomes.ResultsThe median follow-up time was 104 months. Sarcopenia was identified in 37.9% of the patients. Although no significant differences were observed in traditional pathological factors between the sarcopenic and non-sarcopenic groups, sarcopenia was significantly associated with worse oncologic outcomes. Compared to the non-sarcopenic groups, the sarcopenic group had lower overall survival rates (52.0% vs. 67.1% at 5 years, 35.5% vs. 52.7% at 10 years) and higher cancer-specific mortality (63.3% vs. 74.3% at 5 years, 50.7% vs. 67.4% at 10 years). Multivariable Cox regression analysis demonstrated that sarcopenia was an independent predictor of cancer-specific survival (hazard ratio: 1.49, 95% confidence interval: 1.11–2.01, p = 0.008), alongside body mass index, tumor stage, lymph node metastasis, and lymphovascular invasion.ConclusionSarcopenia was significantly associated with poor cancer-specific survival in patients undergoing radical cystectomy for bladder cancer. Detecting sarcopenia may assist in preoperative risk stratification and long-term management after radical cystectomy.

Outcomes of Patients with Acute Type B Aortic Dissection and High-Risk Features

BackgroundRecently the SVS and STS published contemporary guidelines clearly defining complicated vs uncomplicated acute type B aortic dissections (TBADs) with an additional high-risk grouping. Few studies have evaluated outcomes associated with “high-risk” TBADs. The objective of this study was to assess differences in demographics, clinical presentation, symptom onset, and outcomes in high-risk patients that underwent either thoracic endovascular aortic repair (TEVAR) or best medical management for acute TBAD compared to those with complicated and uncomplicated acute TBAD. MethodsPatients admitted with acute TBADs from a single academic medical center from 10/ 2011 to 3/2020 were analyzed. Per STS/SVS 2020 guidelines, high-risk was defined as refractory pain/hypertension, bloody pleural effusion, aortic diameter >4cm, false lumen diameter >22mm, radiographic malperfusion, early readmission, and complicated was defined as ruptured/malperfusion presentation. Uncomplicated patients were those without malperfusion/rupture and without high-risk features. The primary end-point was inpatient mortality. Secondary end-points included complications, re-intervention and survival. ResultsOf 159 patients identified with acute TBAD, 63 (40%) met high-risk criteria. In the high-risk cohort, 38 (60%) underwent TEVAR (HR-TEVAR), with refractory pain as the most common indication, while 25 (40%) were managed medically (HR-Medical). Malperfusion or rupture was present in 63 (40%) patients (C-TBAD), all of whom underwent TEVAR. An additional 33 patients had no high-risk features and were all managed medically (U-TBAD). There were no differences in age, BMI, and race between groups. Among the four groups, there were variable distributions in sex, insurance status, and incidence of several baseline comorbidities including CHF, COPD, and renal dysfunction (p<0.05 for all). C-TBAD had increased length of stay (12, IQR 9-22) compared to HR-TEVAR (11.5, IQR 7-15), HR-Medical (6, IQR 5-8), and U-TBAD (7, IQR 5-10) (p<0.01). C-TBAD had decreased days from admission to repair (0, IQR 0,2) compared to HR-TEVAR (3.5, IQR 1-8) (p<0.01). C-TBAD patients had worse 3-year survival compared to other groups (log-rank p<0.01), although when in-hospital mortality was excluded, survival was similar among groups (p=0.37).Of patients initially managed medically, outpatient TEVAR was performed in 6 (24%) HR-Medical and 4 (12%) uncomplicated patients, with no difference between rate of intervention between groups (p=0.22). ConclusionsHigh-risk features, as defined in updated SVS/STS guidelines, are common in patients presenting with acute TBAD. High-risk patients had acceptable outcomes when managed either surgically or medically. High-risk patients that underwent TEVAR had improved perioperative outcomes and mortality compared to those undergoing TEVAR for complicated TBAD, a finding which may help guide preoperative risk stratification and patient counseling.

Perioperative Considerations in Older Kidney and Liver Transplant Recipients: A Review.

With the growth of the older adult population, the number of older adults waitlisted for and undergoing kidney and liver transplantation has increased. Transplantation is an important and definitive treatment for this population. We present a contemporary review of the unique preoperative, intraoperative, and postoperative issues that patients older than 65 y face when they undergo kidney or liver transplantation. We focus on geriatric syndromes that are common in older patients listed for kidney or liver transplantation including frailty, sarcopenia, and cognitive dysfunction; discuss important considerations for older transplant recipients, which may impact preoperative risk stratification; and describe unique challenges in intraoperative and postoperative management for older patients. Intraoperative challenges in the older adult include using evidence-based best anesthetic practices, maintaining adequate perfusion pressure, and using minimally invasive surgical techniques. Postoperative concerns include controlling acute postoperative pain; preventing cardiovascular complications and delirium; optimizing immunosuppression; preventing perioperative kidney injury; and avoiding nephrotoxicity and rehabilitation. Future studies are needed throughout the perioperative period to identify interventions that will improve patients' preoperative physiologic status, prevent postoperative medical complications, and improve medical and patient-centered outcomes in this vulnerable patient population.

Revisiting large complex ventral hernia repair: multimodal hybrid technique deploying preoperative Botulinum Toxin A injection, laparoscopic anterior components separation and open mesh repair.

In the past, various techniques had been described to repair large complex ventral hernias. Laparoscopic technique of components separation showed low complication rates and better overall outcome. Recently, Botulinum Toxin A (BTA) has shown benefit in achieving tension-free repair. We describe here our multimodal technique combining BTA injection, laparoscopic anterior components separation (LACS) and open mesh repair. Ten consecutive cases performed over 3years were studied. A standardised technique was used with a reasonably short learning curve. Patients who generally fit for general anaesthesia were offered surgery after detailed preoperative imaging work up and informed consent. Demographic details, preoperative risk stratification, intraoperative and postoperative outcomes were recorded and analysed. A structured step by step management strategy was adopted. Total ten (n = 10) cases with median age of 42.5years (range 28-76years), male to female ratio of 8:2 and median BMI of 32.6 were included. Three patients had pre-existing stomas. Median diameter of hernial defect was 10cm, IQR 4.8cm and range of 6-20cm. No intraoperative or immediate complications were observed. Median hospital stay was 6days. Two seromas (20%) and two return to theatre (20%) were observed. One recurrence (10%) was observed after median follow-up of 32months. No 90-day mortality was recorded. Multimodal technique of BTA injection, LACS and midline mesh repair is a reproducible, safe and effective option to repair large complex ventral hernias.

Myosteatosis predicts postoperative complications and long-term survival in robotic gastrectomy for gastric cancer: A propensity score analysis.

Robotic gastrectomy is increasingly utilized for gastric cancer, but high morbidity remains a concern. Myosteatosis or low skeletal muscle density reflecting fatty infiltration, associates with complications after other cancer surgeries but has not been evaluated for robotic gastrectomy. This retrospective study analysed 381 patients undergoing robotic gastrectomy for gastric cancer from September 2019 to October 2022. Myosteatosis was quantified on preoperative computed tomography (CT) images at lumbar 3 (L3). Propensity score matching addressed potential confounding between myosteatosis and non-myosteatosis groups. Outcomes were postoperative complications, 30 days mortality, 30 days readmissions and survival. Myosteatosis was present in 33.6% of patients. Myosteatosis associated with increased overall (47.7% vs. 26.5%, p < 0.001) and severe complications (12.4% vs. 4.9%, p < 0.001). After matching, myosteatosis remained associated with increased overall complications, major complications, intensive care unit (ICU) transfer and readmission (all p < 0.05). Myosteatosis independently predicted overall [odds ratio (OR) = 2.86, 95% confidence interval (CI): 1.57-5.20, p = 0.001] and severe complications (OR = 4.81, 95% CI: 1.51-15.27, p = 0.008). Myosteatosis also associated with reduced overall (85.0% vs. 93.2%, p = 0.015) and disease-free survival (80.3% vs. 88.4%, p=0.029). On multivariate analysis, myosteatosis independently predicted poorer survival [hazard ratio (HR) = 2.83, 95% CI: 1.32-6.08, p=0.012] and disease-free survival (HR = 1.83, 95% CI: 1.01-3.30, p=0.032). Preoperative CT-defined myosteatosis independently predicts increased postoperative complications and reduced long-term survival after robotic gastrectomy for gastric cancer. Assessing myosteatosis on staging CT could optimize preoperative risk stratification.

Preoperative pulmonary function is associated with left ventricular assist device outcomes

IntroductionAlthough left ventricular assist device (LVAD) implantation is associated with improved survival in patients with end-stage heart failure, the impact of preoperative pulmonary function on short-term outcomes is unclear. MethodsWe conducted a retrospective review of all primary LVAD implants at a single institution. Common measures of preoperative pulmonary function were evaluated. Survival was estimated using the Kaplan-Meier method. ResultsFrom 2017–2022, 107 patients underwent primary LVAD implantation. Prior to implantation, 68 (63.6 %) were on room air, 28 (26.4 %) were on nasal cannula, 2 (1.9 %) were on noninvasive positive pressure ventilation, and 9 (8.5 %) were on the ventilator. The average preoperative fraction of inspired oxygen (FiO2) was 25.3 ± 8.2 % while the mean percentage predicted forced expiratory volume in 1 second (FEV1) was 71.4 ± 20.9 %. Overall, 1-year survival was 86.8 %, the median postoperative ventilator time was 20.4 [4.2-77.7] h, and 18 (16.8 %) patients required postoperative tracheostomy. When stratified by pulmonary function, lower FEV1 and increased preoperative FiO2 were associated with decreased 1-year survival ConclusionsIn conclusion, preoperative pulmonary function is associated with short-term LVAD survival, postoperative ventilatory time, and need for tracheostomy. Therefore, rigorous pulmonary function evaluation may help in appropriate preoperative risk stratification.

Accuracy of endometrial sampling in the diagnosis of endometrial cancer: a multicenter retrospective analysis of the JAGO-NOGGO

BackgroundAccurate preoperative molecular and histological risk stratification is essential for effective treatment planning in endometrial cancer. However, inconsistencies between pre- and postoperative tumor histology have been reported in previous studies. To address this issue and identify risk factors related to inaccurate histologic diagnosis after preoperative endometrial evaluation, we conducted this retrospective analysis.MethodsWe conducted a retrospective analysis involving 375 patients treated for primary endometrial cancer in five different gynaecological departments in Germany. Histological assessments of curettage and hysterectomy specimens were collected and evaluated.ResultsPreoperative histologic subtype was confirmed in 89.5% of cases and preoperative tumor grading in 75.2% of cases. Higher rates of histologic subtype variations (36.84%) were observed for non-endometrioid carcinomas. Non-endometrioid (OR 4.41) histology and high-grade (OR 8.37) carcinomas were identified as predictors of diverging histologic subtypes, while intermediate (OR 5.04) and high grading (OR 3.94) predicted diverging tumor grading.ConclusionWhen planning therapy for endometrial cancer, the limited accuracy of endometrial sampling, especially in case of non-endometrioid histology or high tumor grading, should be carefully considered.

Abstract 7379: Deep learning based risk stratification of pre-operative CT scans is prognostic of overall survival in kidney cancers

Abstract Introduction: Preoperative risk stratification of kidney cancer patients is critical for treatment selection and improving mortality rates. Current clinical approaches such as cancer grading are limited by inter-reviewer variability, require invasive biopsy procedures, and might not capture the full extent of patient risk. We sought to evaluate a deep learning (DL) model to quantify patient risk and prognosticate overall survival in kidney cancer patients via CT scans. Methods: This retrospective study used preoperative contrast CT scans from 4 public multi-institutional collections with date of death/censoring available. A deep learning (DL) network architecture was developed to analyze input CT scans via a convolutional feature extractor and a Cox proportional hazards-based cost function. The DL model assigned a risk score to each patient, with the median risk used as a cutoff for classifying patients as high-risk or low-risk. Model performance for prognosticating overall survival (OS) was evaluated separately in training, internal validation, and external validation cohorts via Kaplan-Meier analysis in terms of concordance index and hazard ratios, with risk groups compared via Wilcoxon log-rank tests (α = 0.05). Results: In the training/internal validation cohort (N=418, 8 institutions) and external validation cohort (N=102, 1 institution), the median age was 60 and 59 years, the male/female ratios were 62%/38% and 75%/25%, with a median follow up of 2.8 and 3.1 years, respectively. The DL model yielded a training c-index of 0.66 (95% CI: 0.63-0.68), internal validation c-index of 0.73 (95% CI: 0.70-0.76) and an external validation c-index of 0.67 (95% CI: 0.64-0.70). Kaplan-Meier analysis of associated survival curves based on DL-determined high- and low-risk patients demonstrated statistically significant separation in all cohorts: training (p = 0.003, HR = 8.63, 95% CI: 8.28-8.98), internal validation (p = 0.027, HR = 4.89, 95% CI: 4.52-5.26), and external validation (p = 0.01, HR = 6.54, 95% CI: 6.18-6.90). Baseline clinicopathological characteristics were not significantly different between DL high and low risk patients in external validation (chi-square testing; ISUP grade p=0.375, age p=0.824, race p=0.567, and sex p=0.440). ISUP grade was also not a significant predictor of OS in internal validation (HR=1.57, p=0.211, 95% CI: 1.28-1.85) or external validation (p = 0.465, HR=0.16, 95% CI: 0.33-0.74). Conclusion: A deep learning model based on pre-operative CT scans was found to accurately prognosticate overall survival in kidney cancers in a multi-institutional setting, independent of clinicopathological factors. This model is being validated on larger cohorts, and in the context of targeted therapies. Citation Format: Brennan Flannery, Mohsen Hariri, Thomas DeSilvio, Amir Sadri, Jane Nguyen, Erick M. Remer, Smitha Krishnamurthi, Satish E. Viswanath. Deep learning based risk stratification of pre-operative CT scans is prognostic of overall survival in kidney cancers [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 7379.

In hospital outcomes of autologous and implant-based breast reconstruction in patients with chronic obstructive pulmonary disease.

Chronic obstructive pulmonary disease (COPD) is a common comorbid condition that can be associated with postoperative mortality and morbidity. However, the outcome profile of patients with COPD after breast reconstruction has yet to be established. Therefore, this study aimed to assess the postoperative outcomes in patients with COPD who underwent autologous (ABR) and implant-based breast reconstruction (IBR). National Inpatient Sample was used to identify patients who underwent ABR or IBR from Q4 2015 to 2020. Multivariable logistic regressions were used to compare inhospital outcomes between COPD and non-COPD patients while adjusting for demographics, primary payer status, hospital characteristics, and comorbidities. There were 1288 (9.92%) COPD and 11,696 non-COPD patients who underwent ABR. Meanwhile, 1742 (9.70%) COPD and 16,221 non-COPD patients underwent IBR. In both ABR and IBR, patients with COPD had higher rates of seroma (ABR, aOR=1.863, 95% CI=1.022-3.397, and p=0.04; IBR, aOR=1.524, 95% CI=1.014-2.291, and p=0.04), infection (ABR, aOR=1.863, 95% CI=1.022-3.397, andp=0.04; IBR, aOR=1.956, 95% CI=1.205-3.176, and p=0.01), and prolonged LOS (p<0.01). Specifically, patients with COPD in ABR had higher risks of respiratory complications (aOR=1.991, 95% CI=1.291-3.071, and p<0.01) and incurred higher total hospital charges (p<0.01). Meanwhile, patients with COPD undergoing IBR had elevated risks of renal complications (aOR=3.421, 95% CI=2.108-5.55, and p<0.01), deep wound complications (aOR=3.191, 95% CI=1.423-7.153, and p<0.01), and a higher rate of transfers out (aOR=1.815, 95% CI=1.081-3.05, and p=0.02). COPD is an independent risk factor associated with distinct adverse outcomes in ABR and IBR. These findings can be valuable for preoperative risk stratification, determining surgical candidacy, and planning postoperative management in patients with COPD.

In hospital outcomes of autologous and implant-based breast reconstruction in patients with diabetes mellitus: A population-based study of 2015-2020 national inpatient sample.

Breast reconstruction encompasses autologous (ABR) and implant-based breast reconstruction (IBR) each with its own sets of potential complications. Diabetes mellitus (DM) is associated with breast reconstruction complications, although most of the studies did not differentiate between the reconstruction procedures. This study conducted a population-based study examining impact of DM on inhospital outcomes in ABR and IBR. Patients underwent ABR or IBR were identified in National Inpatient Sample from Q4 2015 to 2020. A 1:2 propensity score matching was used to address differences in demographics, hospital characteristics, primary payer status, comorbidities, and reconstruction staging between DM and non-DM patients. In hospital outcomes were assessed separately in ABR and IBR. There were 997 (7.68%) DM and 11,987 (92.32%) non-DM patients in ABR. Meanwhile, 1325 (7.38%) DM and 16,638 (92.62%) non-DM patients underwent IBR. DM cohorts in ABR and IBR were matched to 1930 and 2558 non-DM patients, respectively. After matching, DM patients in both ABR and IBR had higher risks of renal complications (ABR, 3.73% vs. 1.76%, p<0.01; IBR, 1.83% vs. 0.78%, p=0.01) and longer length of stay (ABR, p=0.01; IBR, p=0.04). In ABR, DM patients had higher respiratory complications (2.82% vs. 1.19%, p<0.01), excessive scarring (2.72% vs. 1.55%, p=0.03), and infection (2.42% vs. 1.14%, p=0.01), while in IBR, DM patients had higher hemorrhage/hematoma (5.40% vs. 3.40%, p<0.01) and transfer out (1.52% vs. 0.78%, p=0.04). DM was associated with distinct sets of inhospital complications in ABR and IBR, which can be valuable for preoperative risk stratification and informing clinical decision-making for DM patients.