A comprehensive review on PFAS including survey results from the EFLM Member Societies.

OBJECTIVES: Per- and polyfluoroalkyl substances (PFASs) are a large class of synthetic chemicals widely used for their unique properties. Without PFAS, many medical device and in vitro diagnostic technologies would not be able to perform their intended purposes. Potential health risks associated with exposure to PFAS influence their use in IVD applications. This paper aims to assess the current situation concerning PFAS, including regulations and legislations for their use. It is important to know what happens to (PFAS) at the end of their lives in medical laboratories. METHODS: A survey was conducted in March 2023 to collect information on the potential emission and end-of-life of PFAS-containing medical technologies in the medical laboratories of the EFLM member societies. A series of questions were presented to the EFLM national societies and the results were documented. RESULTS: Eight respondents participated in the survey, representing EFLM member societies in seven different countries including hospital laboratories, university laboratories, and private laboratories. CONCLUSIONS: PFAS uses in MD and IVD are influenced by several factors, including evolving regulations, advances in technology, safety and efficacy of these substances. Advancements in analytical techniques may lead to more sensitive and precise methods for detecting and quantifying PFAS in biological samples, which can be essential for IVD applications related to biomarker analysis and disease diagnosis. Collaboration among regulatory agencies, industry, research institutions, hospitals, and laboratories on a global scale can aid in establishing harmonized guidelines and standards for the use of PFAS, ensuring consistency and safety within their applications.

Association of metabolic syndrome components and NAFLD with quality of life: Insights from a cross-sectional study.

AIM: Metabolic syndrome (MetS) is associated with higher cardiovascular and metabolic risks, as well as with psychosocial disorders. Data regarding quality of life (QoL) in patients with MetS, point towards a significative association between MetS and a worse QoL. It remains unclear whether MetS components and non-alcoholic fatty liver disease (NAFLD) are associated with QoL in these individuals. We aimed to evaluate the association between QoL of patients with MetS and prespecified metabolic parameters (anthropometric, lipidic and glucose profiles), the risk of hepatic steatosis and fibrosis, and hepatic elastography parameters. METHODS: Cross-sectional study including patients from microDHNA cohort. This cohort includes patients diagnosed with MetS, 18 to 75 years old, followed in our tertiary center. The evaluation included anamnesis, physical examination, a QoL questionnaire (Short-Form Health Survey, SF-36), blood sampling and hepatic elastography. We used ordered logistic regression models adjusted to sex, age and body mass index to evaluate the associations between the QoL domains evaluated by SF-36 and the prespecified parameters. RESULTS: We included a total of 65 participants with MetS, with 54% being female and the mean age 61.9 ± 9.6 years old. A worse metabolic profile, specifically higher waist circumference, lower HDL, higher triglycerides, and more severe hepatic steatosis, were associated with worse QoL scores in several domains. We found no significant association of hepatic fibrosis with QoL. CONCLUSION: Our data suggests that there is a link between a worse metabolic profile (specifically poorer lipidic profile and presence of hepatic steatosis) and a worse QoL in patients with MetS.

Predictive Risk Score for Acute Kidney Injury in Hematopoietic Stem Cell Transplant.

Hematopoietic stem cell transplant (HSCT) is an important treatment option for hematologic malignancies. Acute kidney injury (AKI) is a common complication in HSCTs and is related to worse outcomes. We aimed to create a predictive risk score for AKI in HSCT considering variables available at the time of the transplant. We performed a retrospective cohort study. AKI was defined by the KDIGO classification using creatinine and urinary output criteria. We used survival analysis with competing events. Continuous variables were dichotomized according to the Liu index. A multivariable analysis was performed with a backward stepwise regression. Harrel's C-Statistic was used to evaluate the performance of the model. Points were attributed considering the nearest integer of two times each covariate's hazard ratio. The Liu index was used to establish the optimal cut-off. We included 422 patients undergoing autologous (61.1%) or allogeneic (38.9%) HSCTs for multiple myeloma (33.9%), lymphoma (27.3%), and leukemia (38.8%). AKI cumulative incidence was 59.1%. Variables eligible for the final score were: hematopoietic cell transplant comorbidity index ≥2 (HR: 1.47, 95% CI: 1.08-2.006; p = 0.013), chronic kidney disease (HR: 2.10, 95% CI: 1.31-3.36; p = 0.002), lymphoma or leukemia (HR: 1.69, 95% CI: 1.26-2.25; p < 0.001) and platelet-to-lymphocyte ratio > 171.9 (HR: 1.43, 95% CI: 1.10-1.86; p = 0.008). This is the first predictive risk score for AKI in patients undergoing HSCTs and the first study where the platelet-to-lymphocyte ratio is independently associated with AKI.

Cardiovascular risk factors during pregnancy impact the postpartum cardiac and vascular reverse remodeling.

Pregnant women with cardiovascular risk (CVR) factors are highly prone to develop cardiovascular disease later in life. Thus, recent guidelines suggest extending the follow-up period to 1 yr after delivery. We aimed to evaluate cardiovascular remodeling during pregnancy and determine which CVR factors and potential biomarkers predict postpartum cardiac and vascular reverse remodeling (RR). Our study included a prospective cohort of 76 healthy and 54 obese and/or hypertensive and/or with gestational diabetes pregnant women who underwent transthoracic echocardiography, pulse-wave velocity (PWV), and blood collection at the 1st trimester (1T) and 3rd trimester (3T) of pregnancy as well as at the 1st/6th/12th mo after delivery. Generalized linear mixed-effects models was used to evaluate the extent of RR and its potential predictors. Pregnant women develop cardiac hypertrophy, as confirmed by a significant increase in left ventricular mass (LVM). Moreover, ventricular filling pressure (E/e') and atrial volume increased significantly during gestation. Significant regression of left ventricular (LV) volume, LVM, and filling pressures was observed as soon as 1 mo postpartum. The LV global longitudinal strain worsened slightly and recovered at 6 mo postpartum. PWV decreased significantly from 1T to 3T and normalized at 1 mo postpartum. We found that arterial hypertension, smoking habits, and obesity were independent predictors of increased LVM during pregnancy and postpartum. High C-reactive protein (CRP) and low ST2/IL33-receptor levels are potential circulatory biomarkers of worse LVM regression. Arterial hypertension, age, and gestational diabetes positively correlated with PWV. Altogether, our findings pinpoint arterial hypertension as a critical risk factor for worse RR and CRP, and ST2/IL33 receptors as potential biomarkers of postpartum hypertrophy reversal.NEW & NOTEWORTHY This study describes the impact of cardiovascular risk factors (CVR) in pregnancy-induced remodeling and postpartum reverse remodeling (up to 1 yr) by applying advanced statistic methods (multivariate generalized linear mixed-effects models) to a prospective cohort of pregnant women. Aiming to extrapolate to pathological conditions, this invaluable "human model" allowed us to demonstrate that arterial hypertension is a critical CVR for worse RR and that ST2/IL33-receptors and CRP are potential biomarkers of postpartum hypertrophy reversal.

Chemical strategies for sustainable medical laboratories.

Chemicals are essential components of our daily lives, for the well-being, high living standards and comfort of modern society. They are used in many sectors, including health. However, some chemicals have hazardous properties which can harm the environment and human health. Chemical pollution is significantly contributing to the current global problem of climate change and loss of biodiversity There is an increase in health problems that can be partially explained by the use of chemicals. Some man-made chemicals are found in the most remote places in the environment, but also in our bodies. Chemicals are everywhere. Chemicals strategy for sustainability towards a toxic-free environment will ensure better protection of human health and the environment from hazardous chemicals, boost innovation for safe and sustainable chemicals and enable the transition to chemicals that are safe and sustainable by design. It is a first step towards the Zero pollution ambition for a toxic-free environment announced in the European Green Deal. The strategy proposes comprehensive chemical legislations for the transformation of industry with the aim of attracting investment into safe and sustainable products and production methods. Clinical laboratories must choose safer, more sustainable alternatives to hazardous chemicals, address sustainability issues, and implement official guidelines on how to reduce their carbon footprint.

Digital transformation and sustainability in healthcare and clinical laboratories.

Healthcare, and in particular, clinical laboratories, are major contributors to carbon emissions and waste. Sustainability in healthcare has shifted from an environmental concern towards a holistic definition that includes balancing socio-ecological and socio-technical systems, including health services effectiveness and cost efficiency. Digital transformation can reduce waste and the cost of services by enhancing effectiveness while maintaining quality. Digital health interventions can provide personalized patient-centered care on a global scale and include decision support systems that have the potential to improve the performance and quality of healthcare. The right interfaces must be used so that the advantages of going digital are felt throughout the health system: a successful and sustainable implementation of digital innovation depends on its integration into a functional health ecosystem. Telehealth has the potential to reduce carbon emissions due to the reduced daily commute of health professionals, although research is limited. Recently, economic models have changed from the linear "take-make-dispose" to circular models based on recycling and upcycling that have the goal of keeping products, components, and materials at their highest utility and value. The previous linear models threaten human health and well-being and harm natural ecosystems.

Red blood cell distribution width as a predictor of cardiovascular outcomes in extensive aortoiliac disease.

BACKGROUND: Aortoiliac peripheral artery disease may lead to disabling lower limb claudication or to lower limb chronic threatening ischemia, which is associated with increased short and long-term morbi-mortality. The red blood cell distribution width-coefficient of variation (RDW-CV) has been able to predict outcomes in other atherosclerotic diseases, such as myocardial infarction and stroke. The main objective of this study was to assess the predictive ability of perioperative RDW-CV in accurately predicting short and long-term major adverse cardiovascular events (MACE) and all-cause mortality in patients submitted to aortoiliac revascularization due to extensive aortoiliac atherosclerotic disease. METHODS: From 2013 to 2020, patients who underwent aortoiliac revascularization due to severe aortoiliac disease were included in a prospective cohort. Blood samples were taken preoperatively and the patient's demographics, comorbidities, and postoperative outcomes were assessed. A multivariate Cox regression model was used to adjust for confounding and assess the independent effect of these prognostic factors on the outcomes. RESULTS: The study group included 107 patients. Median follow-up was 57 (95% CI: 34.4-69.6) months. Preoperative RDW-CV was increased in thirty-eight patients (35.5%). Increased RDW-CV was associated with congestive heart failure - adjusted odds ratio of 5.043 (95% CI: 1.436-17.717, P=0.012). It could predict long-term occurrence of MACE (adjusted hazard ratio [aHR] 1.065, 95% CI: 1.014-1.118, P=0.011), all-cause mortality (aHR=1.069, 95% CI: 1.014-1.126, P=0.013), acute heart failure (AHF) (aHR=1.569, 95% CI: 1.179-2.088, P=0.002), and stroke (aHR=1.343, 95% CI: 1.044-1.727, P=0.022). CONCLUSIONS: RDW is a widely available and low-cost marker that was able to independently predict long-term AHF, stroke, MACE, and all-cause mortality in patients with extensive aortoiliac disease submitted to revascularization. This biomarker could help assess which patients would likely benefit from stricter follow-up in the long-term.

Decoding the radiomic and proteomic phenotype of epicardial adipose tissue associated with adverse left atrial remodelling and post-operative atrial fibrillation in aortic stenosis.

AIMS: Epicardial adipose tissue (EAT) volume and attenuation on computed tomography (CT) have been associated with atrial fibrillation. Beyond these conventional CT measures, radiomics allows extraction of high-dimensional data and deep quantitative adipose tissue phenotyping, which may capture its underlying biology. We aimed to explore the EAT proteomic and CT-radiomic signatures associated with impaired left atrial (LA) remodelling and post-operative atrial fibrillation (POAF). METHODS AND RESULTS: We prospectively included 132 patients with severe aortic stenosis with no prior atrial fibrillation referred for aortic valve replacement. Pre-operative non-contrast CT images were obtained for extraction of EAT volume and other radiomic features describing EAT texture. The LA function was assessed by 2D-speckle-tracking echocardiography peak atrial longitudinal strain and peak atrial contraction strain. The EAT biopsies were performed during surgery for proteomic analysis by sequential windowed acquisition of all theoretical fragment ion mass spectra (SWATH-MS). The POAF incidence was monitored from surgery until discharge. Impaired LA function and incident POAF were associated with EAT up-regulation of inflammatory and thrombotic proteins, and down-regulation of cardioprotective proteins with anti-inflammatory and anti-lipotoxic properties. The EAT volume was independently associated with LA enlargement, impaired function, and POAF risk. On CT images, EAT texture of patients with POAF was heterogeneous and exhibited higher maximum grey-level values than sinus rhythm patients, which correlated with up-regulation of inflammatory and down-regulation of lipid droplet-formation EAT proteins. The CT radiomics of EAT provided an area under the curve of 0.80 (95% confidence interval: 0.68-0.92) for discrimination between patients with POAF and sinus rhythm. CONCLUSION: Pre-operative CT-radiomic profile of EAT detected adverse EAT proteomics and identified patients at risk of developing POAF.

Pericardial Fluid Annexin A1 Is a Marker of Atrial Fibrillation in Aortic Stenosis: A Proteomics Analysis.

Atrial fibrillation (AF) is the most common arrhythmia with adverse clinical outcomes. Pericardial fluid (PF) mirrors the heart's pathophysiological status due to its proximity. This study aimed to characterise the PF proteome to identify new biomarkers of disease. Eighty-three patients submitted to aortic valve replacement surgery with severe aortic stenosis were selected, and their baseline echocardiographic and clinical variables were documented. Thirteen samples were selected blindly for proteome characterisation following a shotgun (GeLC-MS/MS) and a label-free quantification approach (LFQ). According to previous AF history, a partial least squares discriminant analysis (PLS-DA) was conducted, and the top 15 variables important in projection were identified. To inquire potential biomarkers, ROC curves were designed using LFQ data. Target proteins were further validated by ELISA, in both pericardial fluid and serum. Proteome analysis uncovered nine proteins up- and downregulated ≥2-fold. Annexin A1, annexin A2, and vimentin were among the top 15 most important variables for group discrimination in PLS-DA. Protein-protein interaction and gene ontology enrichment analysis presented functional interaction among identified proteins, which were all part of focal adhesion sites. Annexin A1 was increased in the pericardial fluid of AF patients but not in serum when quantified by ELISA. Annexin A1 is a novel pericardial fluid biomarker of AF in patients with severe aortic stenosis.

Tranexamic acid in total shoulder arthroplasty under regional anesthesia: a randomized, single blinded, controlled trial.

PURPOSE: The purpose of this study was to determine whether Tranexamic Acid (TXA) can significantly reduce perioperative blood loss in Total Shoulder Arthroplasty (TSA) performed under regional anesthesia. METHODS: We performed a randomized, single blinded, controlled study. Forty-five patients were submitted to TSA under regional anesthesia to treat cuff tear arthropathy, proximal humeral fractures, chronic instability, primary osteoarthrosis, and failures of previous prosthesis. Patients were randomized to either group TXA therapy (TXA), with 1 g intravenous (IV), or no Intervention (NTXA). Postoperative total drain output, hemoglobin variation, total blood loss, hemoglobin loss, and need for transfusion were measured. Pain-related variables were also assessed: postoperative pain assessment by visual analog scale, inpatient pain breakthrough, quality of recovery, length of stay, and coagulation function testing. RESULTS: Participants presented a mean age of 76 years, 15.6% were male, 82.2% were American Society of Anesthesiologists (ASA) physical status I or II. There were no differences between groups concerning transfusions, operative time, Post-Anesthesia Care Unit (PACU) length of stay and in-hospital stay, and QoR-15 or postoperative pain. Bleeding measured by drain output at 2, 24 and 48 hours was significantly less in the TXA group at each timepoint. There was a difference in Hb variation - TXA: median (IQR) -1.4 (1.3) g.dL-1 vs. NTXA: -2.2 (1.3) g.dL-1; median difference: 0.80 (0.00-1.20); p = 0.047. aPTT was lower in TXA administered patients - TXA: median (IQR) 29.6 (14.0)s vs. NTXA: 33 (5.8)s; difference in medians: -4.00 (-6.50--1.00); p = 0.012. CONCLUSION: TXA use significantly decreased blood loss measured by drain output and Hb drop in TSA under regional anesthesia.

Mean Platelet Volume Predicts Restenosis After Carotid Endarterectomy.

BACKGROUND: Carotid restenosis following carotid endarterectomy (CEA) has a cumulative risk at 5-years up to 32%, which may impact the well-being of patients following CEA. Haematological parameters in the standard complete blood cell count (CBC) are emerging as potential biomarkers, but their application in CEA is scarce. The primary aim of this study was to investigate haematological markers for restenosis following CEA. The secondary aim was to characterize clinical risk factors for restenosis. METHODS: From January 2012 to January 2019, 151 patients who underwent CEA under regional anaesthesia due to carotid stenosis were selected from a prospectively maintained cohort database. Patients were included if a preoperative CBC was available in the 2 weeks preceding CEA. Multivariable analysis was performed alongside propensity score matching (PSM) analysis, using the preoperative CEA parameters, to reduce confounding factors between categories. RESULTS: The study group comprised 28 patients who developed carotid restenosis. The remaining 123 patients without restenosis composed the control group. Mean age of the patients did not differ significantly between groups (70.25 ± 8.05 vs. 70.32 ± 9.61 YO, P = 0.973), neither did gender (male gender 89.3% vs. 78.9%, P = 0.206). Regarding haematological parameters, only MPV remained statistically significant within multivariable analysis (1.855, aOR [1.174-2.931], P = 0.008), a result supported by PSM analysis (2.072, aOR [1.036-4.147], P = 0.042). CONCLUSIONS: MPV was able to predict restenosis 2 years after CEA. Thus, MPV can be incorporated into score calculations to identify patients at greater risk of restenosis, who could benefit from specific monitoring during follow-up. While results are promising, more research is necessary to corroborate them.

Impact of oral anticoagulation therapy on postoperative atrial fibrillation outcomes: a systematic review and meta-analysis.

BACKGROUND: Post-operative atrial fibrillation (POAF) is the most common complication after cardiac surgery. Recent studies had shown this phenomenon is no longer considered transitory and is associated with higher risk of thromboembolic events or death. The aim of this study was to systematically review and analyze previous studies comparing oral anticoagulation therapy with no anticoagulation, regarding these long-term outcomes. METHODS: PubMed/MEDLINE, EMBASE, Web of Science and Cochrane Database were systematically searched to identify the studies comparing the risk of stroke, or thromboembolic events or mortality of POAF patients who received anticoagulation compared with those who were not anticoagulated. Incidence of stroke, thromboembolic events and all-cause mortality were evaluated up to 10 years after surgery. Time-to-event outcomes were collected through hazard ratio (HR) along with their variance and the early endpoints using frequencies or odds ratio (OR). Random effect models were used to compute statistical combined measures and 95% confidence intervals (CI). Heterogeneity was evaluated through Q statistic-related measures of variance (Tau2, I2, Chi-squared test). RESULTS: Eight observational cohort studies were selected, including 15,335 patients (3492 on Oral Anticoagulants (OAC) vs 11,429 without OAC) that met the inclusion criteria for qualitative synthesis. Patients had a wide gender distribution (38.6-82.3%), each study with a mean age above 65 years (67.5-85). Vitamin K antagonists were commonly prescribed anticoagulants (74.3-100%). OAC was associated with a protective impact on all-cause mortality at a mean of 5.0 years of follow-up (HR is 0.85 [0.72-1.01]; p = 0.07; I2 = 48%). Thromboembolic events did not differ between the two treatment arms (HR 0.68 [0.40-1.15], p = 0.15). CONCLUSION: Current literature suggests a possibly protective impact of OAC therapy for all-cause mortality in patients with new-onset atrial fibrillation after cardiac surgery. However, it does not appear to impact thromboembolism rate.

Pericardial NT-Pro-BNP and GDF-15 as Biomarkers of Atrial Fibrillation and Atrial Matrix Remodeling in Aortic Stenosis.

AIMS: This study aimed to evaluate the association of GDF-15 and NT-pro-BNP in two different biological matrices with AF in severe aortic stenosis patients undergoing aortic valve replacement surgery (AVR), its association with atrial matrix remodeling, as well as with 30-day postoperative outcomes. MAIN METHODS: One hundred and twenty-six patients between 2009 and 2019 with severe aortic stenosis undergoing AVR surgery in a tertiary hospital were assessed. KEY FINDINGS: pericardial fluid GDF-15 and pericardial fluid and serum NT-pro-BNP were increased in AF patients with aortic stenosis. COL1A1 and COL3A1 gene expression increased when pericardial fluid NT-pro-BNP values were higher. TIMP4 was positively correlated with pericardial fluid GDF-15. SIGNIFICANCE: GDF-15 and NT-pro-BNP in the pericardial fluid are biomarkers of atrial fibrillation in aortic stenosis and correlate with atrial matrix remodeling. AKI is predicted by both serum and pericardial fluid GDF-15.

Inflammatory Response Assessment in Patients with COVID-19 Under Extracorporeal Membrane Oxygenation Support.

BACKGROUND: Extracorporeal membrane oxygenation (ECMO), could be extremely helpful in the management of COVID-19 patients with refractory hypoxemic respiratory failure; however, to date, evidence on the true effecttiveness of ECMO in the COVID19 setting still hangs in the balance. METHODS: This was a prospective cohort study of 39 COVID-19 patients admitted to the intensive care unit (ICU) in an experienced ECMO center at a tertiary hospital during March/April 2020. Among the recruited participants, 10 (25.6%) required ECMO (ICU-ECMO group) and 29 (74.4%) did not have ECMO support (ICU group). Immunological parameters were assessed both at ICU admission and on a daily basis for 7 consecutive days. RESULTS: The absolute lymphocyte count increased significantly in the ICU-ECMO group compared to the ICU group in which it remained relatively stable: ß for the time variable was 127.1 [95% CI 68.9 - 185.3], p < 0.001 and for the interaction term -141.36 [-208.95 - -73.77], p < 0.001. On the other hand, globally, no significant differences were observed over time for the lymphocyte percentage, although it was higher in the ICU patients. Neutrophil counts were overall higher in the ICU-ECMO group (ß -4,275.38 [-6,845.21 - 1,705.55], p = 0.001). In regard to neutrophil percentage, a significant decrease over time was reported (ß -1.76 [-3.16 - -0.36], p = 0.014), namely in the ICU-ECMO group (ß for the interaction 2.09 [0.45 - 3.73], p = 0.013). CONCLUSIONS: Herein, we found ECMO support seems to provide a less aggressive immune response in COVID-19 patients with severe and refractory respiratory dysfunction.

THE IMPACT OF NEUTROPHIL-TOLYMPHOCYTE RATIO AND PLATELETTO- LYMPHOCYTE RATIO IN CAROTID ARTERY DISEASE.

INTRODUCTION: Inflammation is a common underlying feature of atherosclerosis. Several inflammatory biomarkers have been reported to have prognostic value, in several areas, including in vascular surgery. The neutrophil-to-lymphocyte ratio (NLR) and platelet-to-lymphocyte ratio (PLR) may permit to identify patients at greater risk for cerebrovascular events, tailor patient management, improve preoperative status and possibly develop target anti-atherosclerotic therapy. However, studies reporting usefulness of these hematological biomarkers in the context of carotid artery disease are still scarce. The aim of this study was to review the literature concerning the prognostic ability of NLR and PLR in the subpopulation of vascular patients with carotid artery disease. METHODS: A Medline search was performed in order to identify publications focused on the physiopathology of NLR and PLR and their impact in the management of patients with carotid artery disease. RESULTS: The study identified 18 articles with a total of 5339 patients. NLR is associated with carotid intima-media thickness, carotid plaques, carotid stenosis, symptomatic stenosis and intra-stent restenosis after carotid artery stenting and cognitive dysfunction after carotid endarterectomy. PLR is associated with carotid stenosis, symptomatic stenosis and predicts post-operative outcomes after carotid artery revascularization, including post-operative stroke, acute coronary syndrome and all-cause mortality. CONCLUSIONS: The neutrophil-to-lymphocyte ratio (NLR) and platelet-to-lymphocyte ratio (PLR) have the ability to predict sub-clinic atherosclerosis, atherosclerosis progression in carotid artery disease and propensity for carotid stenosis to become symptomatic along with morbidity following CEA and carotid stenting. Consequently, these parameters may be considered to tailored therapy and improve patient management.

Red blood cell distribution width is associated with hypoperfusion in carotid endarterectomy under regional anesthesia.

BACKGROUND: A subset of patients submitted to carotid endarterectomy under regional anesthesia develop intraoperative neurologic deficit during carotid artery crossclamping related to critical cerebral perfusion, which may be owing to low flow or embolic phenomena. This subgroup is deemed prone to worse outcomes, which highlights its clinical relevance. The main aim of this study was to identify clinical and hematological predictors for intraoperative neurologic deficit. The secondary aim was to evaluate the perioperative prognostic value of postcarotid artery crossclamping manifestations of cerebral ischemia. METHODS: Between January 2012 to January 2020, patients submitted to carotid endarterectomy under regional anesthesia in a tertiary referral center who presented intraoperative neurologic deficit were prospectively and consecutively included. This group constituted 8% of the total carotid endarterectomy performed in the center during this timeframe. The control group of patients was the subsequent patient submitted to carotid endarterectomy without intraoperative neurologic deficit in a 1:1 ratio. Blood samples were collected before surgery (<2 weeks). Propensity score matching was used to identify well-matched pairs of patients. RESULTS: A total of 180 patients were included, with 90 (50% of the cohort and 8% of total carotid endarterectomies) presenting intraoperative neurologic deficit associated to clamping. Mean age was 71.4 ± 9.27 years in the study group and 68.8 ± 8.36 years in the control group. The clinical variables presenting significance after multivariate analysis include: age (adjusted odds ratio: 1.04, 5-95% confidence interval, [1.003-1.078]; P = .034), obesity (adjusted odds ratio: 3.537 [1.445-8.658]; P = .006), lower ipsilateral carotid stenosis grade (adjusted odds ratio: 0.725 [0.525-0.997]; P = .049), and higher contralateral carotid stenosis grade (adjusted odds ratio: 1.266 [1.057-1.516]; P = .010). Red cell distribution width coefficient of variation demonstrated statistical significance in predicting intraoperative neurologic deficit with an adjusted odds ratio of 1.394 (1.076-1.805); P = .012. The 30-day stroke rate was significantly higher in the intraoperative neurologic deficit group, with an adjusted odds ratio of 5.13 (5-95% confidence interval [1.058-24.87]; P = .042) after propensity score matching. Postoperative complications (Clavien-Dindo ≥2) were also associated with intraoperative neurologic deficit (after propensity score matching adjusted odds ratio of 2.748 [5-95% confidence interval, 0.976-7.741]; P = .051). CONCLUSION: In this study, increased red cell distribution width coefficient of variation demonstrated value to predict intraoperative neurologic deficit. Additionally, age, obesity, a lower degree of ipsilateral carotid stenosis, and a higher degree of contralateral carotid stenosis also demonstrated ability to predict intraoperative neurologic deficit. Moreover, intraoperative neurologic deficit was an independent risk factor for 30-day stroke and postoperative complications Clavien-Dindo ≥2.

Adverse remodeling in atrial fibrillation following isolated aortic valve replacement surgery.

BACKGROUND: Atrial fibrillation (AF) is the most common arrhythmia with adverse clinical outcomes. Aortic valve replacement (AVR) is one of the most frequently performed cardiac surgeries, although there is scarce evidence on arrhythmic outcomes. We aimed to evaluate AF during the first year post- isolated aortic valve replacement surgery and its clinical, analytical, and echocardiographic predictors. METHODS: Severe aortic stenosis patients with no prior atrial fibrillation submitted to isolated aortic valve replacement surgery were included in our study, of which 316 remained in sinus rhythm and 24 developed AF. We performed logistic regression searching for AF predictors and a longitudinal comparison between pre and post-operative echocardiographic data. RESULTS: Postoperative AF (POAF), diabetes, and follow-up indexed Left Atrium Diameter (iLAD) were significantly higher in the group of patients developing AF. POAF and iLAD were independent AF predictors at follow-up. No differences between groups were found regarding baseline and follow-up echocardiographic data except for indexed Left Ventricle End-diastolic Diameter (LVED), which failed to decrease after surgery in the AF group. CONCLUSIONS: POAF and iLAD independently predicted AF at 1 year following isolated AVR surgery in aortic stenosis patients with no AF history. iLVED did not decrease significantly at follow-up in AF patients, possibly reflecting adverse ventricular remodeling.

Red Blood Cell Distribution Width as a 5-Year Prognostic Marker in Patients Submitted to Carotid Endarterectomy.

OBJECTIVE: Patients submitted to carotid artery endarterectomy (CEA) have a long-term risk of major adverse cardiovascular events (MACE) of 6-9% at 2 years. Hematological parameters have been shown to have a predictive function in atherosclerotic diseases, namely the red blood cell distribution width-coefficient of variation (RDW-CV). This parameter has been associated with worse outcomes such as myocardial infarction (MI), stroke, and all-cause mortality. This study aims to evaluate the potential role of preoperative hematologic parameters such as RDW-CV in predicting perioperative and long-term cardiovascular adverse events and mortality in patients submitted to CEA. METHODS: From January 2012 to January 2019, 180 patients who underwent CEA with regional anesthesia in a tertiary care and referral center were selected from a prospective cohort database. Blood samples were collected preoperatively 2 weeks before admission, including a full blood count. The primary outcome included long-term MACE. Secondary outcomes included all-cause mortality, stroke, MI, acute heart failure, and major adverse limb events (MALE). RESULTS: At baseline, 27.2% of patients had increased RDW-CV. Increased RDW-CV was independently associated with baseline hemoglobin (adjusted odds ratio [aOR] 0.715, 95% CI 0.588-0.869, p = 0.001) and atrial fibrillation (aOR 4.028, 95% CI 1.037-15.639, p = 0.001). After a median follow-up of 50 months, log-rank univariate analysis of RDW-CV demonstrated a significant association between increased RDW-CV and long-term all-cause mortality (log-rank <0.001), MACE (log-rank <0.001), and MI (log-rank = 0.017). After multivariate Cox regression analysis, increased RDW-CV was associated with increased long-term mortality (adjusted hazard ratio [aHR] 2.455, 95% CI 1.231-4.894, p = 0.011) and MACE (aHR 2.047, 95% CI 1.202-3.487, p = 0.008). A decreased hemoglobin to platelet ratio (aHR 2.650e-8, 95% CI 9.049e-15 to 0.078, p = 0.019) was also associated with all-cause mortality. CONCLUSION: RDW is a widely available and low-cost marker that independently predicts long-term mortality, MACE, and MI after CEA. This biomarker could prove useful in assessing which patients would likely benefit from CEA in the long term.

Influence of EPICardial adipose tissue in HEART diseases (EPICHEART) study: Protocol for a translational study in coronary atherosclerosis.

INTRODUCTION: Accumulation of epicardial adipose tissue (EAT) is associated with coronary artery disease (CAD) and increased risk of coronary events in asymptomatic subjects and low-risk patients, suggesting that EAT promotes atherosclerosis in its early stage. Recent studies have shown that the presence of CAD affects the properties of adjacent EAT, leading to dynamic changes in the molecular players involved in the interplay between EAT and the coronary arteries over the history of the disease. The role of EAT in late-stage CAD has not been investigated. OBJECTIVES: In a comparative analysis with mediastinal and subcutaneous adipose tissue, we aim to investigate whether the volume of EAT assessed by computed tomography and its proteome assessed by SWATH-MS mass spectrometry are associated with late stages of CAD in an elderly cohort of severe aortic stenosis patients. METHODS: The EPICHEART study (NCT03280433) is a prospective study enrolling patients with severe degenerative aortic stenosis referred for elective aortic valve replacement, whose protocol includes preoperative clinical, nutritional, echocardiographic, cardiac computed tomography and invasive coronary angiographic assessments. During cardiac surgery, samples of EAT and mediastinal and subcutaneous thoracic adipose tissue are collected for proteomics analysis by SWATH-MS. In addition, pericardial fluid and peripheral and coronary sinus blood samples are collected to identify circulating and local adipose tissue-derived biomarkers of CAD. CONCLUSION: We designed a translational study to explore the association of EAT quantity and quality with advanced CAD. We expect to identify new biochemical factors and biomarkers in the crosstalk between EAT and the coronary arteries that are involved in the pathogenesis of late coronary atherosclerosis, especially coronary calcification, which might be translated into new therapeutic targets and imaging tools by biomedical engineering.