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BACKGROUND: Sarcopenia has been purported to be a pre-operative risk factor that affects patient outcomes in oncological surgery, but no study as of yet has investigated the effect of sarcopenia in patients with spinal tumours. Psoas muscle measurements, including the psoas muscle index (PMI), are an objective way to determine sarcopenia. OBJECTIVES: We investigated if PMI could predict post-operative outcomes (length of hospital stay and post-operative complications) in surgically treated spinal tumour patients in a multi-ethnic Asian population. METHODS: We conducted a retrospective cohort study of patients with spinal tumours who underwent surgery at our tertiary institution from January 2016 to January 2020. PMI was measured on T2-weighted MRI sequences, at the middle of the L3 vertebral body and measurements were collected by 2 independent raters. The primary outcome was length of hospital stay (LOS), and the secondary outcome was post-operative complications. ROC curve was used to attain the cut-off value for PMI and the population was then stratified into 2 groups; sarcopenic if PMI was less than 1.22 and non-sarcopenic if the PMI value was more than or equal to 1.22. Multivariable linear regression was used for LOS, while multivariate logistic regression was used for complications. RESULTS: 57 patients were included with a mean length of stay of 17.8 days (SD 25.1) and the total number of patients with complications were 20 (35.1 %). Mean LOS was significantly higher in the sarcopenic group compared to the non-sarcopenic group. Univariate analysis confirmed the association of lower psoas muscle index corresponding with longer lengths of stay and this was corroborated in a multivariable linear regression model. There were no significant associations between PMI and postoperative complications. CONCLUSIONS: Lower PMI values were significantly associated with a longer LOS. PMI may be warranted for risk stratifying Asian spinal tumour patients undergoing surgery.

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BACKGROUND: The current report investigates fusion rates and patient-reported outcomes following lumbar spinal surgery using cellular bone allograft (CBA) in patients with risk factors for non-union. METHODS: A prospective, open label study was conducted in subjects undergoing lumbar spinal fusion with CBA (NCT02969616) to assess fusion success rates and patient-reported outcomes in subjects with risk factors for non-union. Subjects were categorized into low-risk (≤ 1 risk factors) and high-risk (> 1 risk factors) groups. Radiographic fusion status was evaluated by an independent review of dynamic radiographs and CT scans. Patient-reported outcome measures included quality of life (EQ-5D), Oswestry Disability Index (ODI) and Visual Analog Scales (VAS) for back and leg pain. Adverse event reporting was conducted throughout 24-months of follow-up. RESULTS: A total of 274 subjects were enrolled: 140 subjects (51.1%) were categorized into the high-risk group (> 1 risk factor) and 134 subjects (48.9%) into the low-risk group (≤ 1 risk factors). The overall mean age at screening was 58.8 years (SD 12.5) with a higher distribution of females (63.1%) than males (36.9%). No statistical difference in fusion rates were observed between the low-risk (90.0%) and high-risk (93.9%) groups (p > 0.05). A statistically significant improvement in patient-reported outcomes (EQ-5D, ODI and VAS) was observed at all time points (p < 0.05) in both low and high-risk groups. The low-risk group showed enhanced improvement at multiple timepoints in EQ-5D, ODI, VAS-Back pain and VAS-Leg pain scores compared to the high-risk group (p < 0.05). The number of AEs were similar among risk groups. CONCLUSIONS: This study demonstrates high fusion rates following lumbar spinal surgery using CBA, regardless of associated risk factors. Patient reported outcomes and fusion rates were not adversely affected by risk factor profiles. TRIAL REGISTRATION: NCT02969616 (21/11/2016).

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Objective: Human immunodeficiency virus infection (HIV+) is associated with a 2-fold increased risk of cardiovascular disease. Increasingly, patients who are HIV + are being evaluated to undergo cardiac surgery. Current risk-adjusted scoring systems, including the Society of Thoracic Surgeons Predicted Risk of Mortality score, fail to stratify HIV + risk. Unfortunately, there exists a paucity of cardiac surgery outcomes data in modern patients who are HIV+. Methods: We conducted a retrospective review of PearlDiver, an all-payer claims administrative database. In total, 14,714,743 patients were captured between 2010 and 2020. Of these, 59,695 (0.4%) of patients had a history of HIV+, and 1759 (2.95%) of these patients underwent cardiac surgery. Patients who were HIV+ were younger, more often male, and had greater comorbidity, history of hypertension, chronic obstructive pulmonary disease, chronic liver disease, chronic kidney disease, chronic lung disease, and heart failure. Results: Postoperatively, patients who were HIV + had significantly greater rates of pneumonia (relative risk, 1.70; P = .0003) and 30-day all-cause readmission (relative risk, 1.28, P < .0001). After linear regression analysis, these results remained significant. Data also show that a lesser proportion of patients with HIV + underwent coronary artery bypass grafting, aortic valve replacement, and any cardiac surgery compared with controls. Conclusions: Patients who are HIV + undergoing cardiac surgery are at greater risk of pneumonia and readmission. Moreover, we discovered lower rates of cardiac surgery in patients who are HIV+, which may reflect limited access to surgery when indicated. Today's risk-adjusted scoring systems in cardiac surgery need to better account for the modern patient who is HIV+.

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OBJECTIVE: Acute type A aortic dissection (ATAAD) is a life-threatening cardiovascular disease that requires an effective predictive model to predict and assess a patient's risk of death. Our study aimed to construct a model for predicting the risk of 30-day death in patients with ATAAD and the prediction accuracy of the German Registry of Acute Aortic Dissection Type A (GERAADA) Score and the European System for Cardiac Operative Risk Evaluation (EuroSCORE II) was verified. MATERIALS AND METHODS: Between June 2019 and June 2023, 109 patients with ATAAD underwent surgical treatment at our hospital (35 in the death group and 74 in the survival group). The differences in image parameters between the two groups were compared. Search for independent predictors and develop models that predict 30-day mortality in patients with ATAAD. GERAADA Score and EuroSCORE II were retrospectively calculated and indicated mortality was assessed using the receiver operating characteristic (ROC) curve. RESULTS: Logistic regression analysis showed that ascending aortic length and pericardial effusion were independent predictors of death within 30 days in patients with ATAAD. We constructed four models, GERAADA Score (Model 1), EuroSCORE II (Model 2), Model 1, ascending aorta length, and pericardial effusion (Model 3), and Model 2, ascending aorta length, and pericardial effusion (Model 4). The area under the curve (AUC = 0.832) of Model 3 was significantly different from those of Models 1 (AUC = 0.683) and 2 (AUC = 0.599), respectively (p < 0.05, DeLong test). CONCLUSIONS: Adding ascending aorta length and pericardial effusion to the GERAADA Score can improve the predictive power of 30-day mortality in patients with ATAAD.

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BACKGROUND CONTEXT: Lateral approaches for lumbar interbody fusion (LIF) allow for access to the lumbar spine and disc space by passing through a retroperitoneal corridor either pre- or trans-psoas. A contraindication for this approach is the presence of retroperitoneal scarring that may occur from prior surgical intervention in the retroperitoneal space or from inflammatory conditions with fibrotic changes and pose challenges for the mobilization and visualization needed in this approach. However, there is a paucity of evidence on the prevalence of surgical complications following lateral fusion surgery in patients with a history of abdominal surgery. PURPOSE: The primary aim of this study is to describe the association between surgical complications following lateral interbody fusion surgery and prior abdominal surgical. STUDY DESIGN: Retrospective study. PATIENT SAMPLE: Patients over the age of 18 who underwent lateral lumbar interbody fusion at a large, tertiary care center between 2011 and 2019 were included in the study. OUTCOME MEASURES: The primary outcome included medical, surgical, and thigh-related complications either in the intraoperative or 90-day postoperative periods. Additional outcome metrics included readmission rates, length of stay, and operative duration. METHODS: The electronic health records of 250 patients were reviewed for demographic information, surgical data, complications, and readmission following surgery. The association of patient and surgical factors to complication rate was analyzed using multivariable logistic regression. Statistical analysis was performed using R statistical software (R, Vienna, Austria). RESULTS: Of 250 lateral interbody fusion patients, 62.8% had a prior abdominal surgery and 13.8% had a history of colonic disease. The most common perioperative complication was transient thigh or groin pain/sensory changes (n=62, 24.8%). A multivariable logistic regression considering prior abdominal surgery, age, BMI, history of colonic disease, multilevel surgery, and the approach relative to psoas found no significant association between surgical complication rates and colonic disease (OR 0.40, 95% CI 0.02-2.22) or a history of prior abdominal surgeries (OR 0.56, 95% CI 0.20-1.55). Further, the invasiveness of prior abdominal surgeries showed no association with overall spine complication rate, lateral-specific complications, or readmission rates (p>.05). CONCLUSION: Though retroperitoneal scarring is an important consideration for lateral approaches to the lumbar spine, this study found no association between lateral lumbar approach complication rates and prior abdominal surgery. Further study is needed to determine the impact of inflammatory colonic disease on lateral approach spine surgery.

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Preoperative risk stratification is an important step in surgical procedures. The current scoring systems do not predict accurate overall surgical outcomes in complex comorbid patients. The novel model of preoperative multi-domain risk stratification is described in this article, which categorises patients in to three risk groups, aiming to modify the risk for optimal surgical outcomes.

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INTRODUCTION: This study aimed to develop a modified frailty index (MFI) to predict the risks of revision total hip arthroplasty (THA). METHODS: Data from the American College of Surgeons - National Surgical Quality Improvement Program were analyzed for patients who underwent revision THA from 2015 to 2020. An MFI was composed of the risk factors, including severe obesity (body mass index > 35), osteoporosis, non-independent function status prior to surgery, congestive heart failure within 30 days of surgery, hypoalbuminemia (serum albumin < 3.5), hypertension requiring medication, type 1 or type 2 diabetes, and a history of chronic obstructive pulmonary disease or pneumonia. The patients were assigned based on the MFI scores (MFI0, no risk factor; MFI1, 1-2 risk factors; MFI2, 3-4 risk factors; and MFI3, 5+ risk factors). Confidence intervals were set at 95% with a P value less than or equal to 0.05 considered statistically significant. RESULTS: A total of 17,868 patients (45% male, 55% female) were included and had an average age of 68.5 ± 11.5 years. Odds of any complication, when compared to MFI0, were 1.4 (95% CI [1.3, 1.6]) times greater for MFI1, 3.2 (95% CI [2.8, 3.6]) times greater for MFI2, and 10.8 (95% CI [5.8, 20.0]) times greater for MFI3 (P < 0.001). Odds of readmission, when compared to MFI0, were 1.4 (95% CI [1.3, 1.7]) times greater for MFI1, 2.5 (95% CI [2.1, 3.0]) times greater for MFI2, and 4.1 (95% CI [2.2, 7.8]) times greater for MFI3 (P < 0.001). CONCLUSION: Increasing MFI scores correlate with increased odds of complication and readmission in patients who have undergone revision THA. This MFI may be used to predict the risks after revision THA.

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BACKGROUND: External beam radiation therapy has a number of deleterious effects on the body, and a number of post-operative complications have been reported for several surgeries including total knee arthroplasty. However, few studies have investigated the impact of external beam radiation therapy for total shoulder arthroplasty (TSA). Our study aimed to assess the systemic and joint complications associated with TSA in patients with prior radiation exposures, as well as evaluate the surgical outcomes of radiation patients compared to non-radiation TSA patients. MATERIALS AND METHODS: A retrospective cohort analysis was conducted using the TriNetX Analytics Network. A 1:1 propensity score matching function was utilized to create two cohorts with matched baseline characteristics within the TriNetX network. Comparisons of the primary and secondary outcomes between the two cohorts were made using odds ratios. A p value of < 0.05 was determined to be significant. RESULTS: A total of 75,510 patients that received TSA were identified with 1505 having a history of radiation therapy (RT) and 73,605 with no radiation therapy (non-RT). After propensity matching, both groups contained 1484 patients. RT patients were at higher risk for developing prosthetic joint infection, acute renal failure, altered mental state, cerebrovascular event, DVT, PE, pneumonia, respiratory failure, and UTI compared to non-RT patients at different time points (p < 0.5). CONCLUSION: Patients with prior history of external beam radiation undergoing TSA had a higher risk of systemic complications and prosthetic joint infection compared to patients without a prior history. These complications suggest a more complicated post-operative management course for these patients.

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OBJECTIVE: We assessed associations between outcomes after open thoracoabdominal aortic aneurysm (TAAA) repair and preoperative airflow limitation stratified by the Global Initiative for Chronic Obstructive Lung Disease (GOLD) spirometric classification of chronic obstructive pulmonary disease (COPD) severity. METHODS: Among 2368 open elective TAAA repairs in patients with spirometric data, 1735 patients had COPD and 633 did not. Those with COPD were stratified by preoperative respiratory dysfunction as GOLD 1 (forced expiratory volume in the first second of expiration [FEV1] ≥80% of predicted; n = 228), GOLD 2 (50% ≤ FEV1 < 80% of predicted; n = 1215), GOLD 3 (30% ≤ FEV1 < 50% of predicted; n = 260), or GOLD 4 (FEV1 < 30% of predicted; n = 32). Early outcomes included operative mortality and adverse events (operative death or persistent stroke, spinal cord deficit, or renal failure requiring dialysis); associations of outcomes were determined using logistic regression models. Kaplan-Meier analysis compared late survival by the log-rank test. RESULTS: Pulmonary complications occurred in 38.4% of patients with COPD versus 30.0% without COPD (P < .001). Operative mortality and adverse events were more frequent in patients with COPD than without COPD (7.9% vs 3.8% [P < .001] and 14.9% vs 9.8% [P = .001], respectively). Worsening GOLD severity was independently associated with operative death and adverse event. Survival was poorer in patients with COPD than in those without (61.9% ± 1.2% vs 73.6% ± 1.8% at 5 years; P < .001), particularly in patients with increasing GOLD severity (68.7% ± 3.2% vs 63.7% ± 1.4% vs 51.4% ± 3.2% vs 31.3% ± 8.2% at 5 years; P < .001). CONCLUSIONS: Patients with COPD are at elevated risk for operative death and adverse events. Staging by GOLD severity aids preoperative risk stratification. Patients with airflow limitations may benefit from optimization before TAAA repair.

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A surgical site infection (SSI) prediction model that identifies at-risk patients before leaving the operating room can support efforts to improve patient safety. In this study, eight pre-operative and five perioperative patient- and procedure-specific characteristics were tested with two scoring algorithms: 1) count of positive factors (manual), and 2) logistic regression model (automated). Models were developed and validated using data from 3,440 general and oncologic surgical patients. In the automated algorithm, two pre-operative (procedure urgency, odds ratio [OR]: 1.7; and antibiotic administration >2 hours before incision, OR: 1.6) and three intraoperative risk factors (open surgery [OR: 3.7], high-risk procedure [OR: 3.5], and operative time OR: [2.6]) were associated with SSI risk. The manual score achieved an area under the curve (AUC) of 0.831 and the automated algorithm achieved AUC of 0.868. Open surgery had the greatest impact on prediction, followed by procedure risk, operative time, and procedure urgency. At 80% sensitivity, the manual and automated scores achieved a positive predictive value of 16.3% and 22.0%, respectively. Both the manual and automated SSI risk prediction algorithms accurately identified at-risk populations. Use of either model before the patient leaves the operating room can provide the clinical team with evidence-based guidance to consider proactive intervention to prevent SSIs.

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OBJECTIVES: The aim of this study was to modify recognized clinically relevant post-operative pancreatic fistula (CR-POPF) risk evaluation models with quantitative ultrasound shear wave elastography (SWE) values and identified clinical parameters to improve the objectivity and reliability of the prediction. METHODS: Two prospective, successive cohorts were initially designed for the establishment of CR-POPF risk evaluation model and the internal validation. Patients who scheduled to receive pancreatectomy were enrolled. Virtual touch tissue imaging and quantification (VTIQ)-SWE was used to quantify pancreatic stiffness. CR-POPF was diagnosed according to 2016 International Study Group of Pancreatic Fistula standard. Recognized peri-operative risk factors of CR-POPF were analyzed, and the independent variables selected from multivariate logistic regression were used to build the prediction model. RESULTS: Finally, the CR-POPF risk evaluation model was built in a group of 143 patients (cohort 1). CR-POPF occurred in 52/143 (36%) patients. Constructed from SWE values and other identified clinical parameters, the model achieved an area under the receiver operating characteristic curve of 0.866, with sensitivity, specificity, and likelihood ratio of 71.2%, 80.2%, and 3.597 in predicting CR-POPF. Decision curve of modified model revealed a better clinical benefit compared to the previous clinical prediction models. The models were then examined via internal validation in a separate collection of 72 patients (cohort 2). CONCLUSIONS: Risk evaluation model based on SWE and clinical parameters is a potential non-invasive way to pre-operatively, objectively predict CR-POPF after pancreatectomy. CLINICAL RELEVANCE STATEMENT: Our modified model based on ultrasound shear wave elastography may provide an easy access in pre-operative and quantitative evaluating the risk of CR-POPF following pancreatectomy and improve the objectivity and reliability of the prediction compared to previous clinical models. KEY POINTS: • Modified prediction model based on ultrasound shear wave elastography (SWE) provides an easy access for clinicians to pre-operatively, objectively evaluate the risk of clinically relevant post-operative pancreatic fistula (CR-POPF) following pancreatectomy. • Prospective study with validation showed that the modified model provides better diagnostic efficacy and clinical benefits compared to previous clinical models in predicting CR-POPF. • Peri-operative management of CR-POPF high-risk patients becomes more possible.

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Background: Depending on the degree of infiltration of dry mitral annulus calcification (MAC) into the left ventricular myocardium, calcification removal may cause thinning of the left ventricular wall and increase the risk of post-operative left ventricular rupture. Therefore, the degree of pre-operative infiltration into the left ventricular myocardium should be assessed as accurately as possible. We report a case of caseous calcification of the mitral annulus (CCMA), a subtype of MAC, in an 84-year-old woman; cardiac magnetic resonance imaging (MRI) was useful in assessing the degree of left ventricular infiltration of calcification. Case summary: The patient was referred to our hospital for surgery due to respiratory distress and severe mitral insufficiency. Echocardiography revealed a mass under the posterior mitral annulus adjacent to the mitral valve ring, suspected to be a CCMA. Cardiac MRI was performed to assess the risk of left ventricular rupture. Pre-operatively, no valve ring or left ventricular myocardium infiltration was confirmed. Surgical caseous calcification removal and artificial valve implantation within the preserved valve annulus were then performed. The patient had an uneventful post-operative course and was discharged without complications on the 21st post-operative day. Discussion: In this CCMA case, a pre-operative cardiac MRI was useful for evaluating the degree of the valve annulus and left ventricular myocardial involvement and estimating the risk of left ventricular rupture.

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STUDY DESIGN: Retrospective review of Kids' Inpatient Database (KID). PURPOSE: Identify the risks and complications associated with surgery in adolescents diagnosed with Chiari and scoliosis. OVERVIEW OF LITERATURE: Scoliosis is frequently associated with Chiari malformation (CM). More specifically, reports have been made about this association with CM type I in the absence of syrinx status. METHODS: The KID was used to identify all pediatric inpatients with CM and scoliosis. The patients were stratified into three groups: those with concomitant CM and scoliosis (CMS group), those with only CM (CM group), and those with only scoliosis (Sc group). Multivariate logistic regressions were used to assess association between surgical characteristics and diagnosis with complication rate. RESULTS: A total of 90,707 spine patients were identified (61.8% Sc, 37% CM, 1.2% CMS). Sc patients were older, had a higher invasiveness score, and higher Charlson comorbidity index (all p<0.001). CMS patients had significantly higher rates of surgical decompression (36.7%). Sc patients had significantly higher rates of fusions (35.3%) and osteotomies (1.2%, all p<0.001). Controlling for age and invasiveness, postoperative complications were significantly associated with spine fusion surgery for Sc patients (odds ratio [OR], 1.8; p<0.05). Specifically, posterior spinal fusion in the thoracolumbar region had a greater risk of complications (OR, 4.9) than an anterior approach (OR, 3.6; all p<0.001). CM patients had a significant risk of complications when an osteotomy was performed as part of their surgery (OR, 2.9) and if a spinal fusion was concurrently performed (OR, 1.8; all p<0.05). Patients in the CMS cohort were significantly likely to develop postoperative complications if they underwent a spinal fusion from both anterior (OR, 2.5) and posterior approach (OR, 2.7; all p<0.001). CONCLUSIONS: Having concurrent scoliosis and CM increases operative risk for fusion surgeries despite approach. Being independently inflicted with scoliosis or Chiari leads to increased complication rate when paired with thoracolumbar fusion and osteotomies; respectively.

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OBJECTIVES: No reliable scores are available to predict mortality following surgery for type A acute aortic dissection (TAAAD). Recently, the German Registry of Acute Aortic Dissection Type A (GERAADA) score has been developed. We aim to compare how the GERAADA score performs in predicting operative mortality for TAAAD to the European System for Cardiac Operative Risk Evaluation (EuroSCORE) II. METHODS: We calculated the GERAADA score and EuroSCORE II in patients who underwent TAAAD repair at the Bristol Heart Institute. As there are no precise criteria to calculate the GERAADA score, we used 2 methods: a Clinical-GERAADA score, which evaluated malperfusion with clinical and radiological evidence, and a Radiological-GERAADA score, where malperfusion was assessed by computed tomography scan alone. RESULTS: 207 consecutive patients had surgery for TAAAD, and the observed 30-day mortality was 15%. The Clinical-GERAADA score showed the strongest discriminative power with an area under the curve (AUC) of 0.80 [95% confidence interval (CI) 0.71-0.89], while the Radiological-GERAADA score had an AUC of 0.77 (95% CI 0.67-0.87). EuroSCORE II showed acceptable discriminative power with an AUC of 0.77 (95% CI 0.67-0.87). CONCLUSIONS: Clinical GERAADA score performed better than the other scores and it is specific and easy to use in the context of a TAAAD. Further validation of the new criteria for malperfusion is needed.

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Estimating pre-operative mortality risk may inform clinical decision-making for peri-operative care. However, pre-operative mortality risk prediction models are rarely implemented in routine clinical practice. High predictive accuracy and clinical usability are essential for acceptance and clinical implementation. In this systematic review, we identified and appraised prediction models for 30-day postoperative mortality in non-cardiac surgical cohorts. PubMed and Embase were searched up to December 2022 for studies investigating pre-operative prediction models for 30-day mortality. We assessed predictive performance in terms of discrimination and calibration. Risk of bias was evaluated using a tool to assess the risk of bias and applicability of prediction model studies. To further inform potential adoption, we also assessed clinical usability for selected models. In all, 15 studies evaluating 10 prediction models were included. Discrimination ranged from a c-statistic of 0.82 (MySurgeryRisk) to 0.96 (extreme gradient boosting machine learning model). Calibration was reported in only six studies. Model performance was highest for the surgical outcome risk tool (SORT) and its external validations. Clinical usability was highest for the surgical risk pre-operative assessment system. The SORT and risk quantification index also scored high on clinical usability. We found unclear or high risk of bias in the development of all models. The SORT showed the best combination of predictive performance and clinical usability and has been externally validated in several heterogeneous cohorts. To improve clinical uptake, full integration of reliable models with sufficient face validity within the electronic health record is imperative.

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To our best knowledge, this is the first reported case of ossified ligamentum flavum in the lumbar spine in a Caucasian patient from the United Kingdom. It is an important risk factor to recognise during spinal operation as it can significantly increase its difficulty and the rate of complications.

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OBJECTIVE: Increasing use of bioprostheses for surgical aortic valve replacement (SAVR) in younger patients, together with wider use of transcatheter aortic valve replacement, necessitates understanding risks associated with surgical valve reintervention. Therefore, we sought to identify risks of reoperative SAVR compared with those of primary isolated SAVR. METHODS: From January 1980 to July 2017, 7037 patients underwent nonemergency isolated SAVR, with 753 reoperations and 6284 primary isolated operations. These 2 groups were propensity score-matched on 46 preoperative variables, yielding 581 patient pairs for comparing outcomes. RESULTS: Among propensity score-matched patients, aortic clamp time (median 63 vs 52 minutes; P < .0001), cardiopulmonary bypass time (median 88 vs 67 minutes; P < .0001), and postoperative stay (median 7.1 vs 6.9 days; P = .003) were longer for reoperative SAVR than primary isolated SAVR. Hospital mortality after reoperative SAVR decreased from 3.4% in 1985 to 1.3% in 2011, similar to that of primary isolated SAVR. Occurrence of stroke, deep sternal wound infection, and new renal dialysis was similar. Blood transfusion (67% vs 36%; P < .0001) and reoperations for bleeding/tamponade (6.4% vs 3.1%; P = .009) were more common after reoperative SAVR. Survival at 1, 5, 10, and 20 years was 94%, 82%, 64%, and 33% after reoperative SAVR and 95%, 86%, 72%, and 46% after elective primary isolated SAVR. CONCLUSIONS: Risk of mortality and morbidity after reoperative SAVR has declined and is now similar to that of primary isolated SAVR. Decisions regarding prosthesis choice and SAVR versus transcatheter aortic valve replacement should be made in the context of lifelong disease management rather than avoidance of reoperation.

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BACKGROUND: Surgical site infections (SSIs) are a significant health care problem as they can cause increased medical costs and increased morbidity and mortality. Assessing a patient's preoperative risk factors can improve risk stratification and help guide the surgical decision-making process. Previous efforts to use preoperative risk factors to predict the occurrence of SSIs have relied upon traditional statistical modeling approaches. The aim of this paper is to develop and validate, using state-of-the-art machine learning (ML) approaches, classification models for the occurrence of SSI to improve upon previous models. METHODS: In this work, using the American College of Surgeons' National Surgical Quality Improvement Program (ACS NSQIP) database, the performances (eg prediction accuracy) of 7 different ML approaches (Logistic Regression (LR), Naïve Bayesian (NB), Random Forest (RF), Decision Tree (DT), Support Vector Machine (SVM), Artificial Neural Network (ANN), and Deep Neural Network (DNN)) were compared. The performance of these models was evaluated using the area under the curve, accuracy, precision, sensitivity, and F1-score metrics. RESULTS: Overall, 2,882,526 surgical procedures were identified in the study for the SSI predictive models' development. The results indicate that the DNN model offers the best predictive performance with 10-fold compared to the other 6 approaches considered (area under the curve = 0.8518, accuracy = 0.8518, precision = 0.8517, sensitivity = 0.8527, F1-score = 0.8518). Emergency case surgeries, American Society of Anesthesiologists (ASA) Index of 4 (ASA_4), BMI, Vascular surgeries, and general surgeries were most significant influencing features towards developing an SSI. CONCLUSIONS: Equally important is that the commonly used LR approach for SSI prediction displayed mediocre performance. The results are encouraging as they suggest that the prediction performance for SSIs can be improved using modern ML approaches.

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Background: Although transcatheter aortic valve replacement (TAVR) has demonstrated favorable outcomes in randomized studies, there remains a sizable group of patients in whom TAVR may be futile. Characterizing the survival rate in a wide array of patients undergoing TAVR can help develop effective strategies for improving the allocation of medial resources. Objectives: The aim of this study was to develop a risk model to estimate 1-year mortality after TAVR from a representative nationwide registry in Japan. Methods: The J-TVT (Japan Transcatheter Valve Therapies) registry contains complete data, including 1-year outcomes, on patients undergoing TAVR in Japan. A total of 17,655 patients underwent TAVR between 2013 and 2018. They were randomly divided into 2 groups in a 7:3 ratio to form a derivation cohort of 12,316 patients and a validation cohort of 5,339 patients. A risk model was constructed for 1-year mortality in the derivation cohort, and its discrimination and calibration were assessed in the validation cohort. Results: The mean age of all registered patients was 84.4 years, and 68.8% were women. The mean body size area was 1.43 m2, and the mean Society of Thoracic Surgeons Predicted Risk of Mortality score was 7.3%. The estimated 1-year survival was 91.8%; 202 and 1,316 deaths were observed at 30 days and 1 year, respectively; The estimated C index for the developed model was 0.733 (95% CI: 0.709-0.757) in the validation cohort, with good calibration. Conclusions: A prediction model for 1-year survival following TAVR derived from a national clinical database performed well and should aid physicians managing TAVR patients.

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Objectives: To compare the outcomes after transcatheter aortic valve replacement (TAVR) through a transfemoral (TF) and transcarotid (TC) access at our institution. Methods: From January 2014 to January 2020, 62 TC-TAVR and 449 TF-TAVR were performed using 2 prosthesis devices (Edwards SAPIEN 3, n = 369; Medtronic Evolut R, n = 142). Propensity score matching was used to adjust for imbalance in the baseline characteristics of the study groups. Results: Propensity score matching provided 62 matched pairs with comparable operative risk (mean European System for Cardiac Operative Risk Evaluation II, TC-TAVR 7.6% vs TF-TAVR 6.6%, P = .17). Thirty-day mortality (4.8% vs 3.2%, P = 1.00) and 2-year mortality (11.3% vs 12.9%, P = .64) after TC-TAVR were comparable with TF-TAVR. Strokes were numerically more frequent after TC-TAVR compared with TF-TAVR (3.2% vs 0%, P = .23), but the difference did not reach statistical significance. TF-TAVR was associated with a significantly greater risk of permanent pacemaker implantation (29.0% vs 12.9%, P = .04) compared with TC-TAVR. Other complications were not frequent and were similarly distributed between the matched groups. Conclusions: TC access for TAVR was associated with satisfactory results compared to the femoral access. TC-TAVR could be considered a valid and safe alternative to TF-TAVR when femoral access is contraindicated.