Preoperative Risk Stratification Of Patients Research Articles

Magnetic resonance imaging-based radiomics model for preoperative assessment of risk stratification in endometrial cancer.

Preoperative risk stratification is significant for the management of endometrial cancer (EC) patients. Radiomics based on magnetic resonance imaging (MRI) in combination with clinical features may be useful to predict the risk grade of EC. To construct machine learning models to predict preoperative risk stratification of patients with EC based on radiomics features extracted from MRI. The study comprised 112 EC patients. The participants were randomly separated into training and validation groups with a 7:3 ratio. Logistic regression analysis was applied to uncover independent clinical predictors. These predictors were then used to create a clinical nomogram. Extracted radiomics features from the T2-weighted imaging and diffusion weighted imaging sequences of MRI images, the Mann-Whitney U test, Pearson test, and least absolute shrinkage and selection operator analysis were employed to evaluate the relevant radiomic features, which were subsequently utilized to generate a radiomic signature. Seven machine learning strategies were used to construct radiomic models that relied on the screening features. The logistic regression method was used to construct a composite nomogram that incorporated both the radiomic signature and clinical independent risk indicators. Having an accuracy of 0.82 along with an area under the curve (AUC) of 0.915 [95% confidence interval (CI): 0.806-0.986], the random forest method trained on radiomics characteristics performed better than expected. The predictive accuracy of radiomics prediction models surpassed that of both the clinical nomogram (AUC: 0.75, 95%CI: 0.611-0.899) and the combined nomogram (AUC: 0.869, 95%CI: 0.702-0.986) that integrated clinical parameters and radiomic signature. The MRI-based radiomics model may be an effective tool for preoperative risk grade prediction in EC patients.

Beyond body mass index: Body composition profiling for perioperative risk stratification in intrahepatic cholangiocarcinoma patients.

Intrahepatic cholangiocarcinoma (iCC) is an aggressive tumor, usually detected at an advanced stage. Our aim was to investigate the potential of body composition analysis (BCA) derived from presurgical staging computed tomography (CT) in predicting perisurgical complications. In this retrospective cohort study, we enrolled 86 patients who underwent CT imaging prior to liver surgery. Cox and logistic regression were performed to assess risk factors for prolonged hospital and intensive care unit (ICU) stays, as well as the occurrence of various complications. BCA parameters served as covariates besides conventional risk factors. Postoperative complications after resection of iCC significantly prolonged the overall length of hospitalization (p < .001). Presence of sarcopenia was associated with longer ICU stays. Complications were common, with 62.5% classified as Clavien-Dindo grade IIIa or lower and 37.5% as more severe. Subcutaneous adipose tissue (SAT) and visceral adipose tissue (VAT) were identified as risk factors for complications, including bile leakage (in 24 cases, p = .025), pleural effusions (in 26 cases, p = .025), and intra-abdominal abscess formation (in 24 cases, p = .043). SAT was associated with severe complications requiring interventional therapy, whereas VAT was correlated with abscess formation. Despite normal prevalence of obesity (22%), body mass index (BMI) did not have an impact on the development of perioperative complications. BCA is a useful tool for preoperative risk stratification in patients with iCC and is superior to BMI assessment. Increased SAT and VAT were associated with the risk of perisurgical complications, prolonging hospitalization. Therefore, BCA derived from routine staging CT should be considered in the preoperative assessment of patients with iCC.

Elevated Serum Alkaline Phosphatase is an Independent Predictor of Complications After Lumbar Spinal Fusion

BackgroundAlkaline phosphatase (ALP) is an enzyme which has been proven useful as a biomarker for bone turnover and inflammation. We hypothesized that high serum ALP levels are associated with increased complication rates following lumbar spinal fusion. MethodsLumbar spinal fusion procedures from 2005-2019 were queried from the national Surgical Quality Improvement Program (NSQIP) database. Serum alkaline phosphatase levels were stratified into low <44 IU/L, normal 44-147 IU/L, and high >147 IU/L. A risk-adjusted multivariate logistic regression was used to analyze ALP as an independent risk factor for complications. ResultsA total of 16,441 patients who underwent lumbar fusion procedures were included. Adjusted multivariate logistic regression analysis demonstrated that patients with a high serum ALP level had a significantly increased risk for developing septic shock (OR 4.68, 95% CI 1.83-11.97), pneumonia (OR 2.89, 95% CI 1.59-5.25), requiring a transfusion (OR 2.09, 95% CI 1.68-2.59), reoperation within 30 days (OR 1.68, 95% CI 1.12-2.52), readmission within 30 days (OR 1.60, 95% CI 1.16-2.21), increased length of stay (OR 1.87, 95% CI 1.49-2.36), and nonhome discharge (OR 2.18, 95% CI 1.80-2.66). Clinical RelevanceSerum alkaline phosphatase is a valuable and readily available tool for preoperative risk stratification of patients undergoing lumbar spinal fusion. ConclusionsElevated serum ALP in patients undergoing lumbar fusion procedures is associated with increased risk for multiple in-hospital complications as well as higher rates of readmission and reoperation.

Low Muscle Mass by Preprocedural Computed Tomography Is Associated With Worse Short-Term Outcomes in Transcatheter Aortic Valve Replacement Recipients

Low muscle mass (LMM) is associated with worse outcomes in various clinical situations. Traditional frailty markers have been used for preoperative risk stratification in patients who underwent transcatheter aortic valve replacement (TAVR). However, preoperative imaging provides an opportunity to directly quantify skeletal muscle mass to identify patients at higher risk of procedural complications. We reviewed all TAVR recipients from January to December 2018 and included subjects with preprocedural chest computed tomography. Multi-slice automated measurements of skeletal muscle mass were made from the ninth to twelfth thoracic vertebrae and normalized by height squared to obtain skeletal muscle index (cm2/m2). LMM was defined as the lowest gender-stratified skeletal muscle index tertile. Strength testing was collected during pre-TAVR evaluation. Primary outcome was a composite of perioperative complications, 1-year rehospitalization, or 1-year mortality. In our cohort, 238 patients met inclusion criteria, and 80 (33.6%) were identified to have LMM. Patients with LMM were older with lower body mass index, decreased grip strength, lower hemoglobin A1c, and higher N-terminal pro-brain natriuretic peptide. They had greater rates of the composite outcome and 2-year all-cause mortality, which remained significant on multivariable adjustment (hazard ratio 1.71, 95% confidence interval 1.05 to 2.78, p = 0.030 and hazard ratio 2.31, 95% confidence interval 1.02 to 5.24, p = 0.045, respectively) compared with patients without LMM; there was no significant difference in 5-year all-cause mortality. In conclusion, LMM was associated with an increase in the primary composite outcome and 2-year all-cause mortality in TAVR recipients. Using automatic muscle processing software on pre-TAVR computed tomography scans may serve as an additional preoperative risk stratification tool.

The role of overnight pulse oximetry in risk stratification of paediatric sleep disordered breathing in a district general hospital

ObjectivesAdenoidectomy and tonsillectomy are common surgical interventions in paediatric patients with sleep disordered breathing. Post operative respiratory complications are a recognised risk, and pre-operative risk stratification of patients is important to enable safe delivery of peri-operative care. Due to easy accessibility, overnight pulse oximetry is commonly used for this purpose. However, its limitations have been widely reported and recent national guidance recommends limiting use to patients with significant risk factors. We reviewed the use of overnight pulse oximetry in our local unit to determine if local guidelines should be adapted in line with these national recommendations. MethodsRetrospective analysis of all paediatric patients referred for overnight pulse oximetry over an eighteen month period between August 2020 to February 2022. Data collection included patient age, weight, and relevant co-morbidities. The McGill score was used to risk stratify patients and determine the need for an overnight bed. This was then correlated with the occurrence of post operative respiratory complications. Results200 patients were referred for overnight pulse oximetry, with a mean age of 7.5 years. 7.5 % (15/200) had significant comorbidities. 64 % (128/200) of patients were subsequently listed for surgery. 20.3 % (26/128) were deemed at risk of post-operative complications due to McGill scores of 3 and 4 and planned for overnight ward observation. Of these, 15 % (4/26) were subsequently discharged the same day. None of our patients developed major respiratory complications in the post operative period. ConclusionOur findings support national recommendations that overnight pulse oximetry is not an accurate predictor of post-operative respiratory complications and resulted in unnecessary inpatient stays. Following discussion with the trust paediatric anaesthetist lead, our local guidance was tightened, limiting overnight pulse oximetry to children with relevant identifiable co-morbidities.

Analysis of Preoperative Risk Factors for Early Recurrence in Patients After Hepatic Resection for Intrahepatic Cholangiocarcinoma.

Intrahepatic cholangiocarcinoma (ICC) has a poor prognosis even after curative-intent hepatic resection due to a high recurrence rate. The aim of this study was to investigate preoperative risk factors for early recurrence after surgery for ICC, which may help to identify patients who need preoperative chemotherapy. We retrospectively analyzed 51 patients who had undergone primary surgery for ICC. We investigated the association of preoperative clinical variables with recurrence within 1year after resection for ICC. We then created a high-risk ICC score using the identified preoperative factors and investigated the association of the score with disease-free and overall survival. Recurrence within 1year after surgery for ICC was significantly associated with poor overall survival (P < .01). In the multivariate analysis, preoperative tumor size > 5cm (P = .03) and elevated C-reactive protein-to-albumin ratio (CAR) (P = .04) were significantly associated with recurrence within 1year after surgery. A high-risk ICC score of 2 was associated with poor disease-free survival (P < .01) and overall survival (P = .02) compared with a score of 0 or 1. Our high-risk ICC score, combining preoperative tumor size and CAR, can be an indicator of early recurrence and poor survival in patients after hepatic resection for ICC. Our findings may provide better preoperative risk stratification of patients with ICC, and the high-risk ICC patients may benefit from preoperative therapy.

The association between cardiopulmonary exercise testing and postoperative outcomes in patients with lung cancer undergoing lung resection surgery: A systematic review and meta-analysis

Background Exercise capacity should be determined in all patients undergoing lung resection for lung cancer surgery and cardiopulmonary exercise testing (CPET) remains the gold standard. The purpose of this study was to investigate associations between preoperative CPET and postoperative outcomes in patients undergoing lung resection surgery for lung cancer through a review of the existing literature. Methods A search was conducted on PubMed, Scopus, Cochrane Library and CINAHL from inception until December 2022. Studies investigating associations between preoperative CPET and postoperative outcomes were included. Risk of bias was assessed using the QUIPS tool. A random effect model meta-analysis was performed. I2 &gt; 40% indicated a high level of heterogeneity. Results Thirty-seven studies were included with 6450 patients. Twenty-eight studies had low risk of bias. V˙O2 peak is the oxygen consumption at peak exercise and serves as a marker of cardiopulmonary fitness. Higher estimates of V˙O2 peak, measured and as a percentagege of predicted, showed significant associations with a lower risk of mortality [MD: 3.66, 95% CI: 0.88; 6.43 and MD: 16.49, 95% CI: 6.92; 26.07] and fewer complications [MD: 2.06, 95% CI: 1.12; 3.00 and MD: 9.82, 95% CI: 5.88; 13.76]. Using a previously defined cutoff value of &gt; 15mL/kg/min for V˙O2 peak, showed evidence of decreased odds of mortality [OR: 0.55, 95% CI: 0.28–0.81] and but not decreased odds of postoperative morbidity [OR: 0.82, 95% CI: 0.64–1.00]. There was no relationship between V˙E/V˙CO2 slope, which depicts ventilatory efficiency, with mortality [MD: -9.60, 95% CI: -27.74; 8.54] however, patients without postoperative complications had a lower preoperative V˙E/V˙CO2 [MD: -2.36, 95% CI: -3.01; -1.71]. Exercise load and anaerobic threshold did not correlate with morbidity or mortality. There was significant heterogeneity between studies. Conclusions Estimates of cardiopulmonary fitness as evidenced by higher V˙O2 peak, measured and as a percentage of predicted, were associated with decreased morbidity and mortality. A cutoff value of V˙O2 peak &gt; 15mL/kg/min was consistent with improved survival but not with fewer complications. Ventilatory efficiency was associated with decreased postoperative morbidity but not with improved survival. The heterogeneity in literature could be remedied with large scale, prospective, blinded, standardised research to improve preoperative risk stratification in patients with lung cancer scheduled for lung resection surgery.

Impact of visceral adipose tissue on mortality in patients undergoing transcatheter aortic valve implantation

Abstract Background Computed tomography (CT) is a recognized method to assess body composition. The analysis of CT-scans at third lumbar vertebra level (L3-CT) allows to detect sarcopenia, which plays a negative prognostic role in patients undergoing Transcatheter Aortic Valve Implantation (TAVI). Conversely, the effect of visceral adipose tissue (VAT), a pro-inflammatory and metabolically active organ associated with unfavorable cardiovascular outcomes, is still poorly explored. Purpose We investigated the association between preoperative VAT and 30-days and 1-year mortality in patients undergoing TAVI. Methods Anamnestic, laboratory and clinical data of patients who underwent TAVI in 2010-2020 were collected. Preoperative CT were analyzed to measure VAT area (cm2), normalized for stature obtaining VAT index (VATi, cm2/m2). The sample was classified according to VATi values into two groups: low VATi [1st quartile] vs. high VATi [2nd to 4th quartiles]. The two groups were compared by T-test for continuous variables (expressed as mean ± SD) and Chi-square test for categorical variables (expressed as%). Mortality analyses were performed through Kaplan-Meier curves with log rank test. To address for potential confounding factors a propensity score (1:1 matching)based on STS mortality score and Euroscore II values was calculated in order to create two comparable groups. Results We enrolled 168 patients (45.8%males), 150 of whom had CT images available. Mean value of VATi was 58.6±37.2cm2/m2(range1.7-172.3). Patients with higher VATi presented higher levels of glycemia (124±40vs111±23mg/dl,p=0.021), HbA1c (6±0.8vs.5.6± 0.5%,p=0.001) and neutrophils (5.4±2.7vs4.5±1.8x103/µl,p=0.028). No differences were found between the two groups in terms of age, CKD (GFR&amp;lt;30ml/min), previous stroke/myocardial infarction/ surgical or percutaneous revascularization, intra-hospital complications and presence of comorbidities such as cancer, atrial fibrillation, diabetes, and COPD. Overall, 1-year and 30-days mortality were 16.1%and5.4%, respectively. High VATi group [range25.9-172.3cm2/m2] presented higher 1-year mortality (19.5%vs5.4%,OR= 4.2, p=0.046) as compared with low VATi group [range 1.7-25.7cm2/m2], while no significant differences were found in 30-days mortality (6.2%vs2.7%,p=0.421); survival curves are shown in Fig.1A and 1B. After propensity score creation, 37 pairs of patients were successfully matched; in the matched population, high VATi was significantly associated with a higher 1-year mortality (21.6%vs5.5%, p=0.041,Fig.2). Conclusions High levels of VATi are independently associated with a four-fold increased risk of 1-year mortality in patients treated by TAVI, possibly mediated by enhanced inflammatory status and augmented incidence of metabolic complications related with abundant abdominal VAT. Adding VAT evaluation to the scores currently used in clinical practice could help to optimize pre-operative risk stratification in patients undergoing TAVI.

Validity of a multiphase CT-based radiomics model in predicting the Leibovich risk groups for localized clear cell renal cell carcinoma: an exploratory study

ObjectiveTo develop and validate a multiphase CT-based radiomics model for preoperative risk stratification of patients with localized clear cell renal cell carcinoma (ccRCC).MethodsA total of 425 patients with localized ccRCC were enrolled and divided into training, validation, and external testing cohorts. Radiomics features were extracted from three-phase CT images (unenhanced, arterial, and venous), and radiomics signatures were constructed by the least absolute shrinkage and selection operator (LASSO) regression algorithm. The radiomics score (Rad-score) for each patient was calculated. The radiomics model was established and visualized as a nomogram by incorporating significant clinical factors and Rad-score. The predictive performance of the radiomics model was evaluated by the receiver operating characteristic curve, calibration curve, and decision curve analysis (DCA).ResultsThe AUC of the triphasic radiomics signature reached 0.862 (95% CI: 0.809–0.914), 0.853 (95% CI: 0.785–0.921), and 0.837 (95% CI: 0.714–0.959) in three cohorts, respectively, which were higher than arterial, venous, and unenhanced radiomics signatures. Multivariate logistic regression analysis showed that Rad-score (OR: 4.066, 95% CI: 3.495–8.790) and renal vein invasion (OR: 12.914, 95% CI: 1.118–149.112) were independent predictors and used to develop the radiomics model. The radiomics model showed good calibration and discrimination and yielded an AUC of 0.872 (95% CI: 0.821–0.923), 0.865 (95% CI: 0.800–0.930), and 0.848 (95% CI: 0.728–0.967) in three cohorts, respectively. DCA showed the clinical usefulness of the radiomics model in predicting the Leibovich risk groups.ConclusionsThe radiomics model can be used as a non-invasive and useful tool to predict the Leibovich risk groups for localized ccRCC patients.Critical relevance statementThe triphasic CT-based radiomics model achieved favorable performance in preoperatively predicting the Leibovich risk groups in patients with localized ccRCC. Therefore, it can be used as a non-invasive and effective tool for preoperative risk stratification of patients with localized ccRCC.Key points• The triphasic CT-based radiomics signature achieves better performance than the single-phase radiomics signature.• Radiomics holds prospects in preoperatively predicting the Leibovich risk groups for ccRCC.• This study provides a non-invasive method to stratify patients with localized ccRCC.Graphical

Endoscopic sleeve gastroplasty reintervention score using supervised machine learning

Reintervention after endoscopic sleeve gastroplasty (ESG) can be indicated because of postprocedural adverse events from various preinterventional or postprocedural comorbidities. We developed and internally validated an ESG reintervention score (ESG-RS) that determines the individualized risk of reintervention within the first 30 days after ESG. We used data from a sample of 3583 patients who underwent ESG in the Metabolic and Bariatric Surgery Accreditation Quality Improvement Program database (2016-2021). The least absolute shrinkage and selection operator (LASSO)-penalized regression was used to select the most promising predictors of reintervention after ESG within 30 days. The predictive variables extracted by LASSO regression were entered into multivariate analysis to generate an ESG-RS by using the coefficients of the statistically significant variables. The model performance was assessed using receiver-operator curves by 10-fold cross-validation. Eleven variables were selected by LASSO regression and used in the final multivariate analysis. The ESG-RS was inferred using 5 factors (history of previous foregut surgery, preoperative anticoagulation use, female gender, American Society of Anesthesiologists class≥II, and hypertension) weighted by their regression coefficients in the multivariable logistic regression model. The area under the curve of the ESG-RS was .74 (95% confidence interval, .70-.78). For the ESG-RS, the optimal cutpoint was 67.9 (high risk vs low risk), with a sensitivity of .76 and specificity of .71. The ESG-RS aids clinicians in preoperative risk stratification of patients undergoing ESG while clarifying factors contributing to a higher risk of reintervention.

Preoperative HbA1c and Postoperative Outcomes in Spine Surgery: A Systematic Review and Meta-Analysis.

Systematic review and meta-analysis. To perform a systematic review and meta-analysis of previous studies on HbA1c in preoperative risk stratification in patients undergoing spinal procedures and provide an overview of the consensus recommendations. Diabetes mellitus (DM) and hyperglycemia have been shown to be independent risk factors for increased surgical complications. Glycated Hemoglobin A1C (HbA1c), a surrogate for long term glycemic control, is an important preoperative parameter that may be optimized to reduce surgical complications and improve patient-reported outcomes. However, comprehensive systematic reviews on preoperative HbA1c and postoperative outcomes in spine surgery have been limited. We systematically searched PubMed, EMBASE, Scopus, and Web-of-Science for English-language studies from inception through April 5 th , 2022, including references of eligible articles. The search was conducted according to PRISMA guidelines. Only studies in patients undergoing spine surgery with preoperative HbA1c values and postoperative outcomes available were included. A total of 22 articles (18 retrospective cohort studies, 4 prospective observational studies) were identified with level of evidence III or greater. The majority of studies (n=17) found that elevated preoperative HbA1c was associated with inferior outcomes or increased risk of complications. Random-effect meta-analysis demonstrated that patients with preoperative HbA1c >8.0% had increased risk(s) of postoperative complications (RR: 1.85, 95% CI: [1.48, 2.31], P <0.01) and that patients with surgical site infection (SSI) had higher preoperative HbA1c (Mean Difference: 1.49%, 95% CI: [0.11, 2.88], P =0.03). The findings of this study suggest that HbA1c >8.0% is associated with an increased risk of complications. HbA1c was higher by 1.49% on average among patients with SSI when compared to patients who did not experience SSI. These results suggest that elevated HbA1c is associated with less favorable outcomes following spine surgery. IV.

RADIOLOGICAL SPINE ADIPOSE INDEX AN INDEPENDENT RISK FACTOR FOR DEEP INFECTION AFTER POSTERIOR INSTRUMENTED LUMBAR FUSION

Surgical site infections (SSIs) after spinal fusion surgery increase healthcare costs, morbidity and mortality. Routine measures of obesity fail to consider site specific fat distribution. We aimed to assess the association between the spine adipose index and deep surgical site infection and determine a threshold value for spine adipose index that can assist in preoperative risk stratification in patients undergoing posterior instrumented lumbar fusion (PILF).A multicentre retrospective case-control study was completed. We reviewed patients who underwent PILF from January 1, 2010 to December 31, 2018. All patients developing a deep primary incisional or organ-space SSI within 90 days of surgery as per US Centre for Disease Control and Prevention criteria were identified. We gathered potential pre-operative and intra-operative deep infection risk factors for each patient. Spine adipose index was measured on pre-operative mid-sagittal cuts of T2 weighted MRI scans. Each measurement was repeated twice by three authors in a blinded fashion, with each series of measurement separated by a period of at least six weeks.Forty-two patients were included in final analysis, with twenty-one cases and twenty-one matched controls. The spine adipose index was significantly greater in patients developing deep SSI (p =0.029), and this relationship was maintained after adjusting for confounders (p=0.046). Risk of developing deep SSI following PILF surgery was increased 2.0-fold when the spine adipose index was ≥0.51. The spine adipose index had excellent (ICC &gt;0.9; p &lt;0.001) inter- and intra-observer reliabilities.The spine adipose index is a novel radiographic measure and an independent risk factor for developing deep SSI, with 0.51 being the ideal threshold value for pre-operative risk stratification in patients undergoing PILF surgery.

The 5-Factor Modified Frailty Index as a Predictor of Post-operative Complications in Males Undergoing Mastectomy

Introduction: The modified five-item frailty index (mFI-5) is a valuable tool for preoperative risk stratification of patients. There is a paucity of literature regarding the use of the mFI-5 in regard to males undergoing mastectomy. The aim of this study was to determine if the mFI-5 can predict negative postoperative outcomes. Methods: The 2005-2016 NSQIP database was queried to identify males aged 60 or older who underwent total mastectomy. Patient demographics, comorbidities, perioperative factors, and postoperative complications were collected. Patients were divided into cohorts based on whether their mFI-5 score was &lt;2 or &gt;2. Primary outcomes included prolonged postoperative length of stay (LOS), defined as greater than 75th percentile of the study population, and postoperative complications. Results: A total of 1,251 patients were identified, of which 958 patients (76.6%) had mFI-5 scores &lt;2 and 293 patients (23.4%) had mFI-5 scores &gt;2. A significantly higher prevalence of medical complications occurred in the higher mFI group (6.1% vs. 1.6%, p&lt;0.001). The mFI-5 was an independent risk factor for postoperative medical complications (OR 2.70, 95% CI, 1.28-5.68, p=0.009). Conclusion: This is the first study to evaluate the utility of mFI in predicting postoperative complications in males undergoing total mastectomies. We demonstrate that mFI has utility and is applicable as a risk stratification tool for males undergoing mastectomy.

Frailty predicts worse outcomes for spine surgery patients with interhospital transfer status: Analysis of 295,875 patients from the National Surgical Quality Improvement Program (NSQIP) 2015–2019

Study designRetrospective analysis of a prospectively maintained database. ObjectivesTo evaluate the effects of interhospital transfer (IHT) status, age, and frailty on postoperative outcomes in patients who underwent spine surgery. MethodsThe National Surgical Quality Improvement Program (NSQIP) database was queried for patients who underwent spine surgeries from 2015 to 2019 (N = 295,875). Univariate and multivariable analyses were utilized to analyze the effect of IHT on postoperative outcomes and the contribution of baseline frailty status (mFI-5 score stratified into “pre-frail”, “frail”, and “severely frail”) on outcomes in IHT patients. Effect sizes were summarized by odds ratio (OR) with associated 95% confidence intervals (95% CI). ResultsOf 295,875 patients in the study, 3.3% (N = 9666) were IHT status. On multivariable analysis, controlling for covariates, IHT status was significantly associated with greater likelihood of 30-day mortality (odds ratio [OR] = 9.3), major complications (OR=5.0), Clavien-Dindo (CD) grade IV complications (OR=7.0), unplanned readmission (OR=2.1), unplanned reoperation (OR=2.6), eLOS (OR=16.1), and discharge to non-home destination (OR=12.7) (all P < 0.001). Increasing frailty was significantly associated with poor outcomes in spine surgery patients with IHT status compared to chronological age. ConclusionsThis study provides evidence that IHT status is associated with poor outcomes in spine surgery patients. Furthermore, increasing frailty more than increasing age was a robust predictor of poor outcomes among IHT spine surgical patients. Baseline frailty status, as measured by the mFI-5, may be utilized for preoperative risk stratification of patients with IHT status with anticipated spine surgery.

Sarcopenia and Risk of Pancreatic Fistula after Pancreatic Surgery: A Systematic Review.

Postoperative pancreatic fistula (POPF) is one of the most critical complications after pancreatic surgery. The relationship between sarcopenia and outcomes following this type of surgery is debated. The aim of this review was to assess the impact of sarcopenia on the risk of POPF. A literature search was performed using the PubMed database and the reference lists of relevant articles to identify papers about the impact of sarcopenia on POPF in pancreatic surgery. Twenty-one studies published between 2016 and 2021 with a total of 4068 patients were included. Some studies observed a significant difference in the incidence of POPF between the sarcopenic and non-sarcopenic patients undergoing pancreatoduodenectomy. Interestingly, there was a trend of a lower POPF rate in sarcopenic patients than in non-sarcopenic patients. Only one study included patients undergoing distal pancreatectomy specifically. The role of sarcopenia in surgical outcomes is still unclear. A combination of objective CT measurements could be used to predict POPF. It could be assessed by routine preoperative staging CT and could improve preoperative risk stratification in patients undergoing pancreatic surgery.

Targeted Intraoperative Radiotherapy (TARGIT-IORT) for Early-Stage Invasive Breast Cancer: A Single Institution Experience.

Purpose/ObjectiveWe present our single-institution experience in the management of invasive breast cancer with targeted intraoperative radiotherapy (TARGIT-IORT), focusing on patient suitability for IORT determined by the American Society for Radiation Oncology (ASTRO) Accelerated Partial Breast Irradiation (APBI) consensus guidelines.Materials/MethodsWe identified 237 patients treated for biopsy-proven early-stage invasive breast cancer using low energy x-ray TARGIT-IORT at the time of lumpectomy between September 2013 and April 2020 who were prospectively enrolled in an institutional review board (IRB) approved database. We retrospectively reviewed preoperative and postoperative clinicopathologic factors to determine each patient’s ASTRO APBI suitability (suitable, cautionary or unsuitable) according to the 2017 consensus guidelines (CG). Change in suitability group was determined based on final pathology. Kaplan-Meier methods were used to estimate the survival probability and recurrence probability across time.Results237 patients were included in this analysis, based on preoperative clinicopathologic characteristics, 191 (80.6%) patients were suitable, 46 (19.4%) were cautionary and none were deemed unsuitable. Suitability classification changed in 95 (40%) patients based on final pathology from lumpectomy. Increasing preoperative lesion size or a body mass index (BMI) ≥ 30 kg/m2 were significant predictors for suitability group change. Forty-one (17.3%) patients received additional adjuvant whole breast radiotherapy after TARGIT-IORT. At a median follow up of 38.2 months (range 0.4 – 74.5), five (2.1%) patients had ipsilateral breast tumor recurrences (IBTR), including two (0.8%) true local recurrences defined as a recurrence in the same quadrant as the initial lumpectomy bed with the same histology as the initial tumor. IBTR occurred in 1/103 (0.09%) patient in the post-op suitable group, 4/98 (4.08%) patients in the post-op cautionary group, and no patients in the post-op unsuitable group. At 3-years, the overall survival rate was 98.4% and the local recurrence free survival rate was 97.1%.ConclusionThere is a low rate of IBTR after TARGIT-IORT when used in appropriately selected patients. Change in suitability classification pre to postoperatively is common, highlighting a need for further investigation to optimize preoperative patient risk stratification in this setting. Patients who become cautionary or unsuitable based on final pathology should be considered for additional adjuvant therapy.

The modified 5-item frailty index is a predictor of perioperative risk in breast reconstruction: An analysis of 40,415 cases

The aging population has presented surgeons with new challenges as they increasingly must operate on greater numbers of frail patients. The modified frailty index 5 (mFI-5) is a concise comorbidity-based scale that has been shown to accurately predict adverse surgical outcomes. In this study, we sought to evaluate the ability of the mFI-5 to predict the risk of postoperative outcomes in breast reconstruction patients. Utilizing the 2015-2019 American College of Surgeons National Surgical Quality Improvement Program (ACS-NSQIP) database, we identified 40,415 patients who underwent breast reconstruction, of which 29,562 were implant-based reconstructions and 10,853 were autologous breast reconstructions. Demographic and preoperative variables as well as 30-day postoperative outcomes, including mortality, operation duration, length of hospital stay, medical and surgical complications, and discharge destination, were extracted. Increases in the mFI score correlated with higher rates of reoperation (mFI≥3: 13.5% vs. mFI=0: 5.9%), unplanned readmission (mFI≥3: 10.8% vs. mFI=0: 3.6%), surgical (mFI≥3: 12.2% vs. mFI=0: 4.3%) and medical complications (mFI≥3: 6.8% vs. mFI=0: 1.2%), and lower rates of home discharge (mFI≥3: 96% vs. mFI=0: 99.5%). Multivariate analysis to control for confounders verified significantly higher rates of reoperation (OR=0.01, 95%CI 0.005-0.016), unplanned readmission (OR=0.009, 95%CI 0.005-0.014), and occurrence of surgical complications (OR=0.014, 95%CI 0.009-0.019) and medical complications (OR=0.005, 95%CI 0.002-0.008). Stratification by age showed that the mFI-5 was a stronger risk predictor in younger patients who are frail. Stratification by type of reconstruction showed that increased mFI scores significantly correlated with complications in both autologous and implant-based reconstruction, but the correlation was greater in autologous procedures. The mFI-5 is identified as a powerful risk predictor in breast reconstruction. The application of this easily accessible tool in the preoperative risk stratification of patients undergoing breast reconstruction can enhance treatment planning and support, optimizing patient counseling, informed consent, and decision-making.

Is frailty responsive to surgical correction of adult spinal deformity? An investigation of sagittal re-alignment and frailty component drivers of postoperative frailty status.

Frailty has been associated with adverse postoperative outcomes. Recently, a novel frailty index for preoperative risk stratification in patients with adult spinal deformity was developed. Components of the ASD-FI utilize patient comorbidity, clinical symptoms, and patient-reported-outcome-measures (PROMS). Our purpose was to investigate components of the Adult Spinal Deformity Frailty Index (ASD-FI) responsive to surgery and drivers of overall frailty. Operative ASD patients ≥ 18years, undergoing multilevel fusions, with complete baseline, 6W, 1Y and 2Y ASD-FI scores. Descriptive analysis assessed demographics, radiographic parameters, and surgical details. Pearson bivariate correlations, independent and paired t tests assessed postoperative changes to ASD-FI components, total score, and radiographic parameters. Linear regression models determined the effect of successful surgery (achieving lowest level SRS-Schwab classification modifiers) on change in ASD-FI total scores. 409 6-week, 696 1-year, and 253 2-year operative ASD patients were included. 6-week and 1-year baseline frailty scores were 0.34, 2years was 0.38. Following surgery, 6-week frailty was 0.36 (p = 0.033), 1year was 0.25 (p < 0.001), and 2years was 0.28 (p < 0.001). Of the ASD-FI variables, 17/40 improved at 6weeks, 21/40 at 1year, and 18/40 at 2years. Successful surgery significantly predicted decreases in 1-year frailty scores (R = 0.27, p < 0.001), SRS-Schwab SVA modifier was the greatest predictor (Adjusted Beta: - 0.29, p < 0.001). Improvement in sagittal realignment and functional status correlated with improved postoperative frailty. Additional research and deformity sub-group analyses are needed to describe associations between specific functional activities that correlated with frailty improvement as well as evaluation of modifiable and non-modifiable indices.

Extravesicular TIMP-1 is a non-invasive independent prognostic marker and potential therapeutic target in colorectal liver metastases

Molecular reprogramming of stromal microarchitecture by tumour-derived extracellular vesicles (EVs) is proposed to favour pre-metastatic niche formation. We elucidated the role of extravesicular tissue inhibitor of matrix metalloproteinase-1 (TIMP1EV) in pro-invasive extracellular matrix (ECM) remodelling of the liver microenvironment to aid tumour progression in colorectal cancer (CRC). Immunohistochemistry analysis revealed a high expression of stromal TIMP1 in the invasion front that was associated with poor progression-free survival in patients with colorectal liver metastases. Molecular analysis identified TIMP1EV enrichment in CRC-EVs as a major factor in the induction of TIMP1 upregulation in recipient fibroblasts. Mechanistically, we proved that EV-mediated TIMP1 upregulation in recipient fibroblasts induced ECM remodelling. This effect was recapitulated by human serum-derived EVs providing strong evidence that CRC release active EVs into the blood circulation of patients for the horizontal transfer of malignant traits to recipient cells. Moreover, EV-associated TIMP1 binds to HSP90AA, a heat-shock protein, and the inhibition of HSP90AA on human-derived serum EVs attenuates TIMP1EV-mediated ECM remodelling, rendering EV-associated TIMP1 a potential therapeutic target. Eventually, in accordance with REMARK guidelines, we demonstrated in three independent cohorts that EV-bound TIMP1 is a robust circulating biomarker for a non-invasive, preoperative risk stratification in patients with colorectal liver metastases.

Value of Radiomics of Perinephric Fat for Prediction of Intraoperative Complexity in Renal Tumor Surgery

Introduction: The aim of this study was to assess the value of computed tomography (CT)-based radiomics of perinephric fat (PNF) for prediction of surgical complexity. Methods: Fifty-six patients who underwent renal tumor surgery were included. Radiomic features were extracted from contrast-enhanced CT. Machine learning models using radiomic features, the Mayo Adhesive Probability (MAP) score, and/or clinical variables (age, sex, and body mass index) were compared for the prediction of adherent PNF (APF), the occurrence of postoperative complications (Clavien-Dindo Classification ≥2), and surgery duration. Discrimination performance was assessed by the area under the receiver operating characteristic curve (AUC). In addition, the root mean square error (RMSE) and R² (fraction of explained variance) were used as additional evaluation metrics. Results: A single feature logit model containing “Wavelet-LHH-transformed GLCM Correlation” achieved the best discrimination (AUC 0.90, 95% confidence interval [CI]: 0.75–1.00) and lowest error (RMSE 0.32, 95% CI: 0.20–0.42) at prediction of APF. This model was superior to all other models containing all radiomic features, clinical variables, and/or the MAP score. The performance of uninformative benchmark models for prediction of postoperative complications and surgery duration were not improved by machine learning models. Conclusion: Radiomic features derived from PNF may provide valuable information for preoperative risk stratification of patients undergoing renal tumor surgery.