Value-based preoperative assessment in a large academic hospital.

BACKGROUND: Value-based healthcare (VBHC) is an approach that focuses on delivering the highest possible value for patients while driving cost efficiency in health services. It emphasizes improving patient outcomes and experiences while optimizing the use of resources, shifting the healthcare system's focus from the volume of services to the value delivered. Our study assessed the effectiveness of implementing a VBHC-principled, tailored preoperative evaluation in enhancing patient care and outcomes, as well as reducing healthcare costs. METHODS: We employed a quality improvement, before-and-after approach to assessing the effects of implementing VBHC strategies on the restructuring of the preoperative evaluation clinics at Humanitas Research Hospital. The intervention introduced a VBHC-tailored risk matrix during the postintervention phase (year 2021), and the results were compared with those of the preintervention phase (2019). The primary study outcome was the difference in the number of preoperative tests and visits at baseline and after the VBHC approach. Secondary outcomes were patient outcomes and costs. RESULTS: A total of 9722 patients were included: 5242 during 2019 (baseline) and 4,480 during 2021 (VBHC approach). The median age of the population was 63 (IQR 51-72), 23% of patients were classified as ASA 3 and 4, and 26.8% (2,955 cases) were day surgery cases. We found a considerable decrease in the number of preoperative tests ordered for each patient [6.2 (2.5) vs 5.3 (2.6) tests, p < 0.001]. The number of preoperative chest X-ray, electrocardiogram, and cardiac exams decreased significantly with VBHC. The length of the preoperative evaluation was significantly shorter with VBHC [373 (136) vs 290 (157) min, p < 0.001]. Cost analysis demonstrated a significant reduction in costs, while there was no difference in clinical outcomes. CONCLUSIONS: We demonstrated the feasibility, safety, and cost-effectiveness of a tailored approach for preoperative evaluation. The implementation of VBHC enhanced value, as evidenced by decreased patient time in preoperative evaluation and by a reduction in unnecessary preoperative tests.

RELEVANCE OF THE "APOIO" PROTOCOL IN THE PRE-OPERATIVE EVALUATION OF ELDERLY PEOPLE / RELEVÂNCIA DO PROTOCOLO "APOIO" NA AVALIAÇÃO CIRÚRGICA PRÉ-OPERATÓRIA DE IDOSOS

Introduction: Chronological age should not be considered a contraindication or impediment to performing any medical procedure, as long as there is a technical indication for it. This is because chronological and biological ages are not always equivalent. The aging process is heterogeneous and individual, varying according to genetic, environmental and socioeconomic factors. Objective: To review published care on multidimensional surgical care for the elderly and the role that the APOIO protocol can have in decision-making. Method: Integrative review carried out by collecting information published on virtual platforms in Portuguese and English. Initially, a search was carried out for descriptors related to the topic and identified through DeCS using the following terms: "preoperative evaluation, elderly, fractures, perioperative complications, and surgery" and articles that used the APOIO protocol with AND or OR search, considering the title and/or abstract. Afterwards, considering only those that were most related to the topic, the full texts were read. Result: 21 articles were included. Conclusion: APOIO is a multidimensional assessment that communicates geriatrics with anesthesiology and surgical specialties, integrating clinicians and surgeons in decision-making regarding surgical treatment for the elderly. It offers a conclusion with a written text that summarizes which systems are vulnerable, recommending perioperative care and precautions to be adopted to minimize the risks of the procedure.

Introdução : A idade cronológica não deve ser encarada como contraindicação ou impedimento para realização de qualquer procedimento médico, desde que haja indicação técnica para tal. Isso porque nem sempre as idades cronológica e biológica são equivalentes. O processo de envelhecimento é heterogêneo e individual, variando de acordo com fatores genéticos, ambientais e socioeconômicos . Objetivo : Revisar os cuidados publicados sobre o atendimento cirúrgico multidimensional do idoso e o papel que o protocolo APOIO pode ter na tomada de decisão. Método : Revisão integrativa feita coletando informações publicadas em plataformas virtuais em português e inglês. Inicialmente foi realizada busca por descritores relacionados ao tema e identificadores por meio do DeCS utilizando-se os seguintes termos: " avaliação pré-operatória, idosos, fraturas, complicações perioperatórias, e cirurgia " e artigos que utilizaram o protocolo APOIO com busca AND ou OR , considerando o título e/ou resumo. Após, considerando-se somente os que tinham maior relação ao tema, foi realizada a leitura na íntegra dos textos. Resultado : Foram incluídos 24 artigos. Conclusão : APOIO é uma avaliação multidimensional que comunica a geriatria com anestesiologia e especialidades cirúrgicas, integrando clínicas e cirurgias na tomada de decisão quanto ao tratamento cirúrgico ao idoso. Ela oferece conclusão com texto escrito que resume quais os sistemas vulneráveis ​​recomendando cuidados perioperatórios e eventualmente sendo adotados para minorar os riscos do procedimento.

Identifying the blue patient: preoperative screening for depression.

Preoperative depression is an underappreciated comorbidity that has important implications for postoperative outcomes. Screening for symptoms of depression before surgery can identify patients with or without a previous diagnosis of depression who could benefit from perioperative interventions to improve mood. Preoperative screening programmes are feasible to implement, although care must be taken to ensure that patients who are most likely to benefit are included.

Characterization of carotid plaques using chemical exchange saturation transfer imaging.

PURPOSE: The preoperative assessment of carotid plaques is necessary to render revascularization safe and effective. The aim of this study is to evaluate the usefulness of chemical exchange saturation transfer (CEST)-MRI, particularly amide proton transfer (APT) imaging as a preoperative carotid plaque diagnostic tool. METHODS: We recorded the APT signal intensity on concentration maps of 34 patients scheduled for carotid endarterectomy. Plaques were categorized into group A (APT signal intensity ≥ 1.90 E-04; n = 12) and group B (APT signal intensity < 1.90 E-04; n = 22). Excised plaques were subjected to histopathological assessment and, using the classification promulgated by the American Heart Association, they were classified as intraplaque hemorrhage-positive [type VI-positive (tVI+)] and -negative [no intraplaque hemorrhage (tVI-)]. RESULTS: Of the 34 patients, 22 (64.7%) harbored tVI+- and 12 (35.3%) had tVI- plaques. The median APT signals were significantly higher in tVI+- than tIVI- patients (2.43 E-04 (IQR = 0.98-4.00 E-04) vs 0.54 E-04 (IQR = 0.14-1.09 E-04), p < .001). Histopathologically, the number of patients with tVI+ plaques was significantly greater in group A (100%, n = 12) than group B (45%, n = 22) (p < .01). The number of symptomatic patients or asymptomatic patients with worsening stenosis was also significantly greater in group A than group B (75% vs 36%, p < .01). CONCLUSION: In unstable plaques with intraplaque hemorrhage and in patients with symptoms or progressive stenosis, the ATP signals were significantly elevated. CEST-MRI studies has the potential for the preoperative assessment of the plaques' characteristics.

Major liver resections, perioperative issues and posthepatectomy liver failure: A comprehensive update for the anesthesiologist.

Significant advances in surgical techniques and relevant medium- and long-term outcomes over the past two decades have led to a substantial expansion in the indications for major liver resections. To support these outstanding results and to reduce perioperative complications, anesthesiologists must address and master key perioperative issues (preoperative assessment, proactive intraoperative anesthesia strategies, and implementation of the Enhanced Recovery After Surgery approach). Intensive care unit monitoring immediately following liver surgery remains a subject of active and often unresolved debate. Among postoperative complications, posthepatectomy liver failure (PHLF) occurs in different grades of severity (A-C) and frequency (9%-30%), and it is the main cause of 90-d postoperative mortality. PHLF, recently redefined with pragmatic clinical criteria and perioperative scores, can be predicted, prevented, or anticipated. This review highlights: (1) The systemic consequences of surgical manipulations anesthesiologists must respond to or prevent, to positively impact PHLF (a proactive approach); and (2) the maximal intensive treatment of PHLF, including artificial options, mainly based, so far, on Acute Liver Failure treatment(s), to buy time waiting for the recovery of the native liver or, when appropriate and in very selected cases, toward liver transplant. Such a clinical context requires a strong commitment to surgeons, anesthesiologists, and intensivists to work together, for a fruitful collaboration in a mandatory clinical continuum.

Prediction of Follicular Thyroid Neoplasm and Malignancy of Follicular Thyroid Neoplasm Using Multiparametric MRI.

The study aims to evaluate multiparametric magnetic resonance imaging (MRI) for differentiating Follicular thyroid neoplasm (FTN) from non-FTN and malignant FTN (MFTN) from benign FTN (BFTN). We retrospectively analyzed 702 postoperatively confirmed thyroid nodules, and divided them into training (n = 482) and validation (n = 220) cohorts. The 133 FTNs were further split into BFTN (n = 116) and MFTN (n = 17) groups. Employing univariate and multivariate logistic regression, we identified independent predictors of FTN and MFTN, and subsequently develop a nomogram for FTN and a risk score system (RSS) for MFTN prediction. We assessed performance of nomogram through its discrimination, calibration, and clinical utility. The diagnostic performance of the RSS for MFTN was further compared with the performance of the Thyroid Imaging Reporting and Data System (TIRADS). The nomogram, integrating independent predictors, demonstrated robust discrimination and calibration in differentiating FTN from non-FTN in both training cohort (AUC = 0.947, Hosmer-Lemeshow P = 0.698) and validation cohort (AUC = 0.927, Hosmer-Lemeshow P = 0.088). Key risk factors for differentiating MFTN from BFTN included tumor size, restricted diffusion, and cystic degeneration. The AUC of the RSS for MFTN prediction was 0.902 (95% CI 0.798-0.971), outperforming five TIRADS with a sensitivity of 73.3%, specificity of 95.1%, accuracy of 92.4%, and positive and negative predictive values of 68.8% and 96.1%, respectively, at the optimal cutoff. MRI-based models demonstrate excellent diagnostic performance for preoperative predicting of FTN and MFTN, potentially guiding clinicians in optimizing therapeutic decision-making.

Prevalence of preoperative depression and adverse outcomes in older patients undergoing elective surgery: A systematic review and meta-analysis.

STUDY OBJECTIVE: Depression is a common cause of long-lasting disability and preoperative mental health state that has important implications for optimizing recovery in the perioperative period. In older elective surgical patients, the prevalence of preoperative depression and associated adverse pre- and postoperative outcomes are unknown. This systematic review and meta-analysis aimed to determine the prevalence of preoperative depression and the associated adverse outcomes in the older surgical population. DESIGN: Systematic review and meta-analysis. SETTING: MEDLINE, MEDLINE Epub Ahead of Print and In-Process, In-Data-Review & Other Non-Indexed Citations, Embase/Embase Classic, Cochrane CENTRAL, and Cochrane Database of Systematic Reviews, ClinicalTrials.Gov, the WHO ICTRP (International Clinical Trials Registry Platform) for relevant articles from 2000 to present. PATIENTS: Patients aged ≥65 years old undergoing non-cardiac elective surgery with preoperative depression assessed by tools validated in older adults. These validated tools include the Geriatric Depression Scale (GDS), Hospital Depression and Anxiety Scale (HADS), Beck Depression Inventory-II (BDI), Patient Health Questionnaire-9 (PHQ-9), and the Centre for Epidemiological Studies Depression Scale (CESD). INTERVENTIONS: Preoperative assessment. MEASUREMENT: The primary outcome was the prevalence of preoperative depression. Additional outcomes included preoperative cognitive impairment, and postoperative outcomes such as delirium, functional decline, discharge disposition, readmission, length of stay, and postoperative complications. MAIN RESULTS: Thirteen studies (n = 2824) were included. Preoperative depression was most assessed using the Geriatric Depression Scale-15 (GDS-15) (n = 12). The overall prevalence of preoperative depression was 23% (95% CI: 15%, 30%). Within non-cancer non-cardiac mixed surgery, the pooled prevalence was 19% (95% CI: 11%, 27%). The prevalence in orthopedic surgery was 17% (95% CI: 9%, 24%). In spine surgery, the prevalence was higher at 46% (95% CI: 28%, 64%). Meta-analysis showed that preoperative depression was associated with a two-fold increased risk of postoperative delirium than those without depression (32% vs 23%, OR: 2.25; 95% CI: 1.67, 3.03; I2: 0%; P ≤0.00001). CONCLUSIONS: The overall prevalence of older surgical patients who suffered from depression was 23%. Preoperative depression was associated with a two-fold higher risk of postoperative delirium. Further work is needed to determine the need for depression screening and treatment preoperatively.

Closing the gaps: consent and preoperative assessment for children and young people.

The changing ethical and legal landscape in the UK means that anaesthetists should routinely be discussing the risk of death during the consent process. To do this effectively means expanding anaesthetic preassessment services for children and young people, something that has been recognised as a priority, but which still needs investment and an appreciation of its value at the trust level.

Surgical Patient Preoperative Readiness: Translation into French, Cultural Adaptation for Switzerland and Cross-Sectional Exploratory Study in a Tertiary Hospital.

PURPOSE: Preoperative evaluation of elective surgery patients traditionally focuses on somatic and organizational aspects of the situation. Patient feelings of readiness, called preoperative readiness (PR), impacts postoperative outcomes, and yet is rarely evaluated. The Preoperative Assessment Tool (PART) is a validated and reliable 15-item questionnaire available in Filipino and English. A reliable tool is essential for evaluating PR within the Swiss health context to offer optimized and comprehensive perioperative care. The aim of this study was to both translate into French and adapt culturally the Preoperative Assessment Tool for Switzerland's francophone population, and to explore patient PR in the preoperative consultation within a Swiss tertiary hospital. DESIGN: A mixed design with methodologic phases and descriptive study. METHODS: A mixed design in two phases with a methodologic phase with (1) translation and (2) cultural adaptation for Romandie of the PART, following Wild's 10 steps methodology (n = 11) and (3) a cross-sectional exploratory descriptive study with pilot testing of the translated version in a general elective preoperative consultation in a tertiary hospital in Romandie (N = 88). FINDINGS: Translation and cultural adaptations are well accepted and understood by the participants (n = 9/11), modifications are accepted by the authors and deemed adequate by the participants (n = 11/11). Time of completion is short (m = 69.06 seconds) and adapted to clinical context. The translated version has a Cronbach (α = 0.85) comparable to the original validated scale (α = 0.86). CONCLUSIONS: The translation and cultural adaptation for Switzerland of the PART was achieved, and PR was explored. Further psychometric testing of the PART-FrenCH must be conducted to assess fully the tool before its use in a clinical setting. Including PR in preoperative evaluations could enhance patient-centered approaches and lead to improvement in the quality of care.

PreScheck Team Study: prehabilitation clinic as an effective patient management tool in elective cardiac surgery.

INTRODUCTION: The main purpose of the study was to assess the impact of preoperative interdisciplinary assessment by the PreScheck Team on optimization of the final selection for elective cardiac surgery. MATERIAL AND METHODS: This is a single-centre prospective observational study. The examined population consisted of 933 adult patients planned for cardiac surgery. After the exclusion of urgent operations, the study group consisted of 288 patients planned for elective cardiac surgery within 3 months from 1.01.2023 with PreScheck assessment (PreScheck Team group 2) and a control group of 311 patients scheduled for elective cardiac surgery between 1.03.2022 and 30.06.2022 (4 months), without preoperative interdiscipli-nary assessment (No PreScheck Team group 2). RESULTS: Fifty-two patients (18.06%) from the study group were finally excluded from the surgery on the scheduled date. In 46 patients (88.46%) the temporary or permanent exclusion from surgery was a result of PreScheck Team assessment. In the control group 42 patients (13.5%) did not undergo surgery on the scheduled date. Twenty-seven of those patients (8.97%) were permanently excluded from cardiac surgery after admission to the hospital and required additional tests before the final clinical decision, with total hospitalization time of 146 days. CONCLUSIONS: Pre Surgery Check (PreScheck) Team is an original concept that combines classical preoperative assessment and an outpatient prehabilitation clinic. The approach we are proposing here should be a complementary stage in the process of selection for elective cardiac surgery, in addition to the Heart Team recommendation. This two-step decision-making enables real individual risk assessment, selection of the most suitable intervention and better use of medical resources.

Geriatric Dermatologic Surgery Part I: Frailty assessment and palliative treatments in the geriatric dermatology population.

Longer life expectancy and increasing keratinocyte carcinoma incidence contribute to an increase in geriatric patients presenting for dermatologic surgery. Unique considerations accompany geriatric patients including goals of care, physiologic changes in medication metabolism, cognitive decline, and frailty. Limited geriatric training in dermatology residency has created a knowledge gap and dermatologic surgeons should be familiar with challenges facing older patients to provide interventions more congruent with goals and avoid overtreatment. Frailty assessments including the Geriatric 8 and Karnofsky Performance Scale are efficient tools to identify patients who are at risk for poor outcomes and complications. When frail patients are identified, goals of care discussions can be aided using structured palliative care frameworks including the 4Ms, REMAP, and Serious Illness Conversation Guide. Most geriatric patients will tolerate standard of care treatments including invasive modalities like Mohs surgery and excision. However, for frail patients, non-standard treatments including topicals, energy-based devices, and intralesional chemotherapy may be appropriate options to limit patient morbidity while offering reasonable disease control.

An Ultrasound-Based Preoperative Evaluation of the Endometriosis Fertility Index: A Further Step towards Personalized Treatment.

Background: The Endometriosis Fertility Index (EFI), is a crucial validated surgical tool used for predicting fertility outcomes in women with endometriosis. This study aims to assess the concordance between a preoperative clinical and instrumental EFI evaluation (uEFI) and the EFI score obtained during an exploratory laparoscopy prior to surgery (sEFI). Methods: This study presents preliminary data from a broader observational cohort study. The Least Function score for the uEFI was calculated using a modified version of the original surgical EFI by incorporating a clinical examination, advanced ultrasound, and hysterosalpingo-foam sonography (HyFoSy). Results: The preoperative estimation of the EFI (uEFI) demonstrated a high concordance (k = 0.695, ρs = 0.811) with the sEFI. Remarkably, the surgical interventions led to a significant improvement in the EFI values, with 80% of the intermediate EFI transitioning to a high level, thereby highlighting the positive impact of surgery on fertility outcomes. Conclusion: This study highlights the accuracy of preoperative EFI estimation (uEFI) and its strong agreement with intraoperative assessment. It underscores the potential of a preoperative management tool to guide the allocation of infertile women with endometriosis to operative laparoscopy, direct assisted reproductive technology (ART), or spontaneous attempts at pregnancy.

Evaluating the Role of AI in Predicting the Success of Dental Implants Based on Preoperative CBCT Images: A Randomized Controlled Trial.

Background: Dental implant surgery has become a widely accepted method for replacing missing teeth. However, the success of dental implant procedures can be influenced by various factors, including the quality of preoperative planning and assessment. Cone beam computed tomography (CBCT) imaging provides valuable insights into a patient's oral anatomy, but accurately predicting implant success remains a challenge. Materials and Methods: In this randomized controlled trial (RCT), a cohort of 150 patients requiring dental implants was randomly divided into two groups: an artificial intelligence (AI)-assisted group and a traditional assessment group. Preoperative CBCT images of all patients were acquired and processed. The AI-assisted group utilized a machine learning model trained on historical data to assess implant success probability based on CBCT images, while the traditional assessment group relied on conventional methods and clinician expertise. Key parameters such as bone density, bone quality, and anatomical features were considered in the AI model. Results: After the completion of the study, the AI-assisted group demonstrated a significantly higher implant success rate, with 92% of implants successfully integrating into the bone compared to 78% in the traditional assessment group. The AI model showed an accuracy of 87% in predicting implant success, whereas traditional assessment methods achieved an accuracy of 71%. Additionally, the AI-assisted group had a lower rate of complications and required fewer postoperative interventions compared to the traditional assessment group. Conclusion: The AI-assisted approach significantly improved implant success rates and reduced complications, underscoring the importance of incorporating AI into the dental implant planning process.

Ventilatory efficiency as a prognostic factor for postoperative complications in patients undergoing elective major surgery: a systematic review.

BACKGROUND: Major surgery is associated with high complication rates. Several risk scores exist to assess individual patient risk before surgery but have limited precision. Novel prognostic factors can be included as additional building blocks in existing prediction models. A candidate prognostic factor, measured by cardiopulmonary exercise testing, is ventilatory efficiency (VE/VCO2). The aim of this systematic review was to summarise evidence regarding VE/VCO2 as a prognostic factor for postoperative complications in patients undergoing major surgery. METHODS: A medical library specialist developed the search strategy. No database-provided limits, considering study types, languages, publication years, or any other formal criteria were applied to any of the sources. Two reviewers assessed eligibility of each record and rated risk of bias in included studies. RESULTS: From 10,082 screened records, 65 studies were identified as eligible. We extracted adjusted associations from 32 studies and unadjusted from 33 studies. Risk of bias was a concern in the domains 'study confounding' and 'statistical analysis'. VE/VCO2 was reported as a prognostic factor for short-term complications after thoracic and abdominal surgery. VE/VCO2 was also reported as a prognostic factor for mid- to long-term mortality. Data-driven covariable selection was applied in 31 studies. Eighteen studies excluded VE/VCO2 from the final multivariable regression owing to data-driven model-building approaches. CONCLUSIONS: This systematic review identifies VE/VCO2 as a predictor for short-term complications after thoracic and abdominal surgery. However, the available data do not allow conclusions about clinical decision-making. Future studies should select covariables for adjustment a priori based on external knowledge. SYSTEMATIC REVIEW PROTOCOL: PROSPERO (CRD42022369944).

Complete Heart Block After Aortic Valve Repair and Septal Myectomy in a Patient With Rheumatic Heart Disease.

Surgical myectomy with concomitant valvular repair has been demonstrated to be safe in the treatment of hypertrophic obstructive cardiomyopathy (HOCM). It is unclear which risk factors predispose patients to develop complete heart block (CHB). We present a unique case of a 66-year-old female with rheumatic heart disease and HOCM admitted for aortic valve (AV) repair and septal myectomy, complicated by a presentation of complete heart block. The histology slide showed fibrosis of the septum, suggesting atrioventricular conduction disease from rheumatic fever, which likely contributed to her presentation. This case highlights the importance of elucidating the etiology of HOCM before undergoing cardiac surgery to guide postsurgical management and improve clinical outcomes.

Pre-operative assessment of living liver donors' liver anatomy and volumes.

Decades of experience supports LDLT as a favorable strategy to reduce waitlist mortality. The multiple regenerative pathways of hepatocytes and other hepatic cells justify the rationale behind it. Nonetheless, living liver donation is still underused and its broader implementation is challenging, mostly due to variability in practices leading to concerns related to donor safety. A non-systematic literature search was conducted for peer-reviewed original articles related to pre-operative evaluation of living liver donor candidates. Eligible studies were synthesized upon consensus for discussion in this up-to-date review. Review of the literature demonstrate that the importance of preoperative assessment of vascular, biliary and liver volume to ensure donor safety and adequate surgical planning for graft procurement is widely recognized. Moreover, data indicates that anatomic variants in vascular and biliary systems in healthy donors are common, present in up to 50% of the population. Therefore, comprehensive mapping and visualizations of each component is needed. Different imaging modalities are reported across practices and are discussed in detail. Lastly, assessment of liver volume must take into account several technical and donor factors that increase the chances of errors in volume estimation, which occurs in up to 10% of the cases. Experience suggests that maximizing donor safety and lessening their risks is a result of integrated experience between hepatobiliary and transplant surgery, along with multidisciplinary efforts in performing a comprehensive pre-operative donor assessment. Although technical advances have increased the accuracy of volume estimation, over- or under-estimation remains a challenge that needs further attention.

The Impact of Cardiac Arrhythmias on Total Knee Arthroplasty Outcomes.

BACKGROUND: Cardiac comorbidities are common in patients undergoing total knee arthroplasty (TKA). While there is an abundance of research showing an association between cardiac abnormalities and poor postoperative outcomes, relatively little is published on specific pathologies. The aim of this study was to assess the impact of cardiac arrhythmias on postoperative outcomes in the setting of TKA. METHODS: This retrospective cohort study included all patients undergoing TKA from a national database, from 2016 to 2019. Patients who had cardiac arrhythmias were identified via International Classification of Diseases, Tenth Revision, and Clinical Modification/Procedure Coding System codes and served as the cohort of interest. Multivariate regression was performed to compare postoperative outcomes. Gamma regression was performed to assess length of stay and total charges, while negative binomial regression was used to assess 30-day readmission and reoperation. Patient demographic variables and comorbidities, measured via the Elixhauser comorbidity index, were controlled in our regression analysis. Out of a total of 1,906,670 patients, 224,434 (11.76%) had a diagnosed arrhythmia and were included in our analyses. RESULTS: Those who had arrhythmias had greater odds of both medical (odds ratio [OR] 1.52; P < .001) and surgical complications (OR 2.27; P < .001). They also had greater readmission (OR 2.49; P < .001) and reoperation (OR 1.93; P < .001) within 30 days, longer hospital stays (OR 1.07; P < .001), and greater total charges (OR 1.02; P < .001). CONCLUSIONS: Cardiac arrhythmia is a common comorbidity in the TKA population and is associated with worse postoperative outcomes. Patients who had arrhythmias had greater odds of both medical and surgical complications requiring readmission or reoperation. STUDY DESIGN: Level III; Retrospective Cohort Study.

Preoperative endothelial dysfunction for the prediction of acute kidney injury after cardiac surgery using cardiopulmonary bypass: a pilot study based on a second analysis of the MONS study.

BACKGROUND: Up to 42% of patients develop acute kidney injury (AKI) after cardiac surgery. The aim of this study was to describe the relationship between preoperative microcirculatory function and postoperative AKI after cardiac surgery using cardiopulmonary bypass (CPB). METHODS: The prospective observational cohort MONS enrolled 60 patients scheduled for valvular (n = 30, 50%) or coronary (n = 30, 50%) surgery using CPB. Preoperative microcirculation was assessed during preoperative consultation from January 2019 to April 2019 at the University Hospital of Angers, France, using endothelium-dependent and endothelium-independent reactivity tests on the forearm (iontophoresis of acetylcholine (ACh) and sodium nitroprusside (SNP), respectively). Skin blood flow was measured by laser speckle contrast imaging. The primary endpoint was the occurrence of AKI according to the KDIGO classification during the hospital stay. RESULTS: Forty-three (71.7%) patients developed AKI during the in-hospital follow-up, and 15 (25%) were classified as KDIGO stage 1, 20 (33%) KDIGO stage 2, and 8 (13%) KDIGO stage 3. Regarding preoperative microcirculation, a higher peak amplitude of vasodilation in response to iontophoresis of ACh was found in patients with postoperative occurrence of AKI (35 [20-49] vs 23 [9-44] LSPU, p = 0.04). Iontophoresis of SNP was not significantly different according to AKI occurrence (34 [22-49] vs 36 [20-50] LSPU, p = 0.95). In a multivariable model, the preoperative peak amplitude at iontophoresis of ACh was independently associated with postoperative AKI (OR 1.045 [1.001-1.092], p = 0.045). CONCLUSIONS: The preoperative peak amplitude of endothelium-dependent vasodilation is independently associated with the postoperative occurrence of AKI. TRIAL REGISTRATION: Clinical-Trials.gov, NCT03631797. Registered 15 August 2018, https://clinicaltrials.gov/ct2/show/NCT03631797.

Three-Dimensional Lumbosacral Reconstruction by An Artificial Intelligence-Based Automated MR Image Segmentation for Selecting the Approach of Percutaneous Endoscopic Lumbar Discectomy.

BACKGROUND: Assessing the 3-dimensional (3D) relationship between critical anatomical structures and the surgical channel can help select percutaneous endoscopic lumbar discectomy (PELD) approaches, especially at the L5/S1 level. However, previous evaluation methods for PELD were mainly assessed using 2-dimensional (2D) medical images, making the understanding of the 3D relationship of lumbosacral structures difficult. Artificial intelligence based on automated magnetic resonance (MR) image segmentation has the benefit of 3D reconstruction of medical images. OBJECTIVES: We developed and validated an artificial intelligence-based MR image segmentation method for constructing a 3D model of lumbosacral structures for selecting the appropriate approach of percutaneous endoscopic lumbar discectomy at the L5/S1 level. STUDY DESIGN: Three-dimensional reconstruction study using artificial intelligence based on MR image segmentation. SETTING: Spine and radiology center of a university hospital. METHODS: Fifty MR data samples were used to develop an artificial intelligence algorithm for automatic segmentation. Manual segmentation and labeling of vertebrae bone (L5 and S1 vertebrae bone), disc, lumbosacral nerve, iliac bone, and skin at the L5/S1 level by 3 experts were used as ground truth. Five-fold cross-validation was performed, and quantitative segmentation metrics were used to evaluate the performance of artificial intelligence based on the MR image segmentation method. The comparison analysis of quantitative measurements between the artificial intelligence-derived 3D (AI-3D) models and the ground truth-derived 3D (GT-3D) models was used to validate the feasibility of 3D lumbosacral structures reconstruction and preoperative assessment of PELD approaches. RESULTS: Artificial intelligence-based automated MR image segmentation achieved high mean Dice Scores of 0.921, 0.924, 0.885, 0.808, 0.886, and 0.816 for L5 vertebrae bone, S1 vertebrae bone, disc, lumbosacral nerves, iliac bone, and skin, respectively. There were no significant differences between AI-3D and GT-3D models in quantitative measurements. Comparative analysis of quantitative measures showed a high correlation and consistency. LIMITATIONS: Our method did not involve vessel segmentation in automated MR image segmentation. Our study's sample size was small, and the findings need to be validated in a prospective study with a large sample size. CONCLUSION: We developed an artificial intelligence-based automated MR image segmentation method, which effectively segmented lumbosacral structures (e.g., L5 vertebrae bone, S1 vertebrae bone, disc, lumbosacral nerve, iliac bone, and skin) simultaneously on MR images, and could be used to construct a 3D model of lumbosacral structures for choosing an appropriate approach of PELD at the L5/S1 level.