Digestive and breast cancer patients managed during the first wave of COVID-19 pandemic: Short and middle term outcomes.

BACKGROUND: The first wave of coronavirus disease 2019 (COVID-19) pandemic in Spain lasted from middle March to the end of June 2020. Spanish population was subjected to lockdown periods and scheduled surgeries were discontinued or reduced during variable periods. In our centre, we managed patients previously and newly diagnosed with cancer. We established a strategy based on limiting perioperative social contacts, preoperative screening (symptoms and reverse transcription-polymerase chain reaction) and creating separated in-hospital COVID-19-free pathways for non-infected patients. We also adopted some practice modifications (surgery in different facilities, changes in staff and guidelines, using continuously changing personal protective equipment…), that supposed new inconveniences. AIM: To analyse cancer patients with a decision for surgery managed during the first wave, focalizing on outcomes and pandemic-related modifications. METHODS: We prospectively included adults with a confirmed diagnosis of colorectal, oesophago-gastric, liver-pancreatic or breast cancer with a decision for surgery, regardless of whether they ultimately underwent surgery. We analysed short-term outcomes [30-d postoperative morbimortality and severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection] and outcomes after 3 years (adjuvant therapies, oncological events, death, SARS-CoV-2 infection and vaccination). We also investigated modifications to usual practice. RESULTS: From 96 included patients, seven didn't receive treatment that period and four never (3 due to COVID-19). Operated patients: 28 colon and 21 rectal cancers; laparoscopy 53.6%/90.0%, mortality 3.57%/0%, major complications 7.04%/25.00%, anastomotic leaks 0%/5.00%, 3-years disease-free survival (DFS) 82.14%/52.4% and overall survival (OS) 78.57%/76.2%. Six liver metastases and six pancreatic cancers: no mortality, one major complication, three grade A/B liver failures, one bile leak; 3-year DFS 0%/33.3% and OS 50.0%/33.3% (liver metastases/pancreatic carcinoma). 5 gastric and 2 oesophageal tumours: mortality 0%/50%, major complications 0%/100%, anastomotic leaks 0%/100%, 3-year DFS and OS 66.67% (gastric carcinoma) and 0% (oesophagus). Twenty breast cancer without deaths/major complications; 3-year OS 100% and DFS 85%. Nobody contracted SARS-CoV-2 postoperatively. COVID-19 pandemic-related changes: 78.2% treated in alternative buildings, 43.8% waited more than 4 weeks, two additional colostomies and fewer laparoscopies. CONCLUSION: Some patients lost curative-intent surgery due to COVID-19 pandemic. Despite practice modifications and 43.8% delays higher than 4 weeks, surgery was resumed with minimal changes without impacting outcomes. Clean pathways are essential to continue surgery safely.

Donor Atheromatous Disease is a Risk Factor for Hepatic Artery Thrombosis After Liver Transplantation.

The increasing age of liver donors and transplant candidates, together with the growing prevalence of metabolic comorbidities, could impact the risk of vascular complications after liver transplantation. We enrolled a consecutive cohort of adult patients undergoing liver transplantation from 2012 to 2021 who had a blinded pathological assessment of atherosclerosis in the donor and recipient hepatic arteries (HA). Patients receiving partial or reduced grafts, retransplantation, or combined organ transplantation were excluded. The relationship between HA atherosclerosis and HA thrombosis after liver transplantation was evaluated using logistic regression in the whole study cohort and in a propensity score-matched subpopulation. Among 443 eligible patients, 272 had a full pathological evaluation of the donor and recipient HA and were included in the study. HA atheroma was present in 51.5% of donors and in 11.4% of recipients. HA thrombosis occurred in 16 patients (5.9%), being more likely in patients who received a donor with HA atherosclerosis than in those without (10.7% vs. 0.8%; p < 0.001). Donor HA atherosclerosis was an independent risk factor of HA thrombosis (OR = 17.79; p = 0.008), and this finding was consistent in the propensity score-matched analysis according to age, sex, complex arterial anastomosis, and alcoholic liver disease (OR = 19.29; p = 0.007). Atheromatous disease in the recipient had no influence on the risk of HA thrombosis (OR = 1.70; p = 0.55). In conclusion, patients receiving donors with HA atherosclerosis are at increased risk for HA thrombosis after liver transplantation. The evaluation of the donor graft vasculature could guide antiplatelet therapy in the postoperative period.

Fungal infections in immunocompromised critically ill patients.

Diverse pathogenic fungi can produce severe infections in immunocompromised patients, thereby justifying intensive care unit (ICU) admissions. In some cases, the infections can develop in immunocompromised patients who were previously admitted to the ICU. Aspergillus spp., Pneumocystis jirovecii, Candida spp., and Mucorales are the fungi that are most frequently involved in these infections. Diagnosis continues to be challenging because symptoms and signs are unspecific. Herein, we provide an in-depth review about the diagnosis, with emphasis on recent advances, and treatment of these invasive fungal infections in the ICU setting.

Development and Validation of a Scoring System to Predict Response to Obeticholic Acid in Primary Biliary Cholangitis.

BACKGROUND & AIMS: Obeticholic acid (OCA) is the only licensed second-line therapy for primary biliary cholangitis (PBC). With novel therapeutics in advanced development, clinical tools are needed to tailor the treatment algorithm. We aimed to derive and externally validate the OCA response score (ORS) for predicting the response probability of individuals with PBC to OCA. METHODS: We used data from the Italian RECAPITULATE (N = 441) and the IBER-PBC (N = 244) OCA real-world prospective cohorts to derive/validate a score including widely available variables obtained either pre-treatment (ORS) or also after 6 months of treatment (ORS+). Multivariable Cox regressions with backward selection were applied to obtain parsimonious predictive models. The predicted outcomes were biochemical response according to POISE (alkaline phosphatase [ALP]/upper limit of normal [ULN]<1.67 with a reduction of at least 15%, and normal bilirubin), or ALP/ULN<1.67, or Normal range criteria (NR: normal ALP, alanine aminotransferase [ALT], and bilirubin) up to 24 months. RESULTS: Depending on the response criteria, ORS included age, pruritus, cirrhosis, ALP/ULN, ALT/ULN, GGT/ULN, and bilirubin. ORS+ also included ALP/ULN and bilirubin after 6 months of OCA therapy. Internally validated c-statistics for ORS were 0.75, 0.78, and 0.72 for POISE, ALP/ULN<1.67, and NR response, which raised to 0.83, 0.88, and 0.81 with ORS+, respectively. The respective performances in validation were 0.70, 0.72, and 0.71 for ORS and 0.80, 0.84, and 0.78 for ORS+. Results were consistent across groups with mild/severe disease. CONCLUSIONS: We developed and externally validated a scoring system capable to predict OCA response according to different criteria. This tool will enhance a stratified second-line therapy model to streamline standard care and trial delivery in PBC.

Paediatric clinical study of 3D printed personalised medicines for rare metabolic disorders.

Rare diseases are infrequent, but together they affect up to 6-10 % of the world's population, mainly children. Patients require precise doses and strict adherence to avoid metabolic or cardiac failure in some cases, which cannot be addressed in a reliable way using pharmaceutical compounding. 3D printing (3DP) is a disruptive technology that allows the real-time personalization of the dose and the modulation of the dosage form to adapt the medicine to the therapeutic needs of each patient. 3D printed chewable medicines containing amino acids (citrulline, isoleucine, valine, and isoleucine and valine combinations) were prepared in a hospital setting, and the efficacy and acceptability were evaluated in comparison to conventional compounded medicines in six children. The inclusion of new flavours (lemon, vanilla and peach) to obtain more information on patient preferences and the implementation of a mobile app to obtain patient feedback in real-time was also used. The 3D printed medicines controlled amino acid levels within target levels as well as the conventional medicines. The deviation of citrulline levels was narrower and closer within the target concentration with the chewable formulations. According to participants' responses, the chewable formulations were well accepted and can improve adherence and quality of life. For the first time, 3DP enabled two actives to be combined in the same formulation, reducing the number of administrations. This study demonstrated the benefits of preparing 3D printed personalized treatments for children diagnosed with rare metabolic disorders using a novel technology in real clinical practice.

Portable platform for leukocyte extraction from blood using sheath-free microfluidic DLD.

Leukocyte count is routinely performed for diagnostic purposes and is rapidly emerging as a significant biomarker for a wide array of diseases. Additionally, leukocytes have demonstrated considerable promise in novel cell-based immunotherapies. However, the direct retrieval of leukocytes from whole blood is a significant challenge due to their low abundance compared to erythrocytes. Here, we introduce a microfluidic-based platform that isolates and recovers leukocytes from diluted whole blood in a single step. Our platform utilizes a novel, sheathless method to initially sediment and focus blood cells into a dense stream while flowing through a tubing before entering the microfluidic device. A hexagonal-shaped structure, patterned at the device's inlet, directs all the blood cells against the channel's outer walls. The focused cells are then separated based on their size using the deterministic lateral displacement (DLD) microfluidic technique. We evaluated various parameters that could influence leukocyte separation, including different focusing structures (assessed both computationally and experimentally), the orientation of the tubing-chip interface, the effects of blood sample hematocrit (dilution), and flow rate. Our device demonstrated the ability to isolate leukocytes from diluted blood with a separation efficiency of 100%, a recovery rate of 76%, and a purity of 80%, while maintaining a cell viability of 98%. The device operates for over 30 min at a flow rate of 2 µL min-1. Furthermore, we developed a handheld pressure controller to drive fluid flow, enhancing the operability of our platform outside of central laboratories and enabling near-patient testing. Our platform can be integrated with downstream cell-based assays and analytical methods that require high leukocyte purity (80%), ranging from cell counting to diagnostics and cell culture applications.

Novel B-cell subsets as potential biomarkers in idiopathic inflammatory myopathies: insights into disease pathogenesis and disease activity.

Idiopathic inflammatory myopathies are a heterogeneous group of rare autoimmune disorders characterized by progressive muscle weakness and the histopathologic findings of inflammatory infiltrates in muscle tissue. Although their pathogenesis remains indefinite, the association of autoantibodies with clinical manifestations and the evidence of high effectiveness of depleting therapies suggest that B cells could be implicated. Therefore, we explored the landscape of peripheral B cells in this disease by multiparametric flow cytometry, finding significant numerical decreases in memory and double-negative subsets, as well as an expansion of the naive compartment relative to healthy controls, that contribute to defining disease-associated B-cell subset signatures and correlating with different clinical features of patients. Additionally, we determined the potential value of these subsets as diagnostic biomarkers, thus positioning B cells as neglected key elements possibly participating in idiopathic inflammatory myopathy onset or development.

Clustering COVID-19 ARDS patients through the first days of ICU admission. An analysis of the CIBERESUCICOVID Cohort.

BACKGROUND: Acute respiratory distress syndrome (ARDS) can be classified into sub-phenotypes according to different inflammatory/clinical status. Prognostic enrichment was achieved by grouping patients into hypoinflammatory or hyperinflammatory sub-phenotypes, even though the time of analysis may change the classification according to treatment response or disease evolution. We aimed to evaluate when patients can be clustered in more than 1 group, and how they may change the clustering of patients using data of baseline or day 3, and the prognosis of patients according to their evolution by changing or not the cluster. METHODS: Multicenter, observational prospective, and retrospective study of patients admitted due to ARDS related to COVID-19 infection in Spain. Patients were grouped according to a clustering mixed-type data algorithm (k-prototypes) using continuous and categorical readily available variables at baseline and day 3. RESULTS: Of 6205 patients, 3743 (60%) were included in the study. According to silhouette analysis, patients were grouped in two clusters. At baseline, 1402 (37%) patients were included in cluster 1 and 2341(63%) in cluster 2. On day 3, 1557(42%) patients were included in cluster 1 and 2086 (57%) in cluster 2. The patients included in cluster 2 were older and more frequently hypertensive and had a higher prevalence of shock, organ dysfunction, inflammatory biomarkers, and worst respiratory indexes at both time points. The 90-day mortality was higher in cluster 2 at both clustering processes (43.8% [n = 1025] versus 27.3% [n = 383] at baseline, and 49% [n = 1023] versus 20.6% [n = 321] on day 3). Four hundred and fifty-eight (33%) patients clustered in the first group were clustered in the second group on day 3. In contrast, 638 (27%) patients clustered in the second group were clustered in the first group on day 3. CONCLUSIONS: During the first days, patients can be clustered into two groups and the process of clustering patients may change as they continue to evolve. This means that despite a vast majority of patients remaining in the same cluster, a minority reaching 33% of patients analyzed may be re-categorized into different clusters based on their progress. Such changes can significantly impact their prognosis.

Invasive Fungal Diseases in Adult Patients in Intensive Care Unit (FUNDICU): 2024 consensus definitions from ESGCIP, EFISG, ESICM, ECMM, MSGERC, ISAC, and ISHAM.

PURPOSE: The aim of this document was to develop standardized research definitions of invasive fungal diseases (IFD) in non-neutropenic, adult patients without classical host factors for IFD, admitted to intensive care units (ICUs). METHODS: After a systematic assessment of the diagnostic performance for IFD in the target population of already existing definitions and laboratory tests, consensus definitions were developed by a panel of experts using the RAND/UCLA appropriateness method. RESULTS: Standardized research definitions were developed for proven invasive candidiasis, probable deep-seated candidiasis, proven invasive aspergillosis, probable invasive pulmonary aspergillosis, and probable tracheobronchial aspergillosis. The limited evidence on the performance of existing definitions and laboratory tests for the diagnosis of IFD other than candidiasis and aspergillosis precluded the development of dedicated definitions, at least pending further data. The standardized definitions provided in the present document are aimed to speed-up the design, and increase the feasibility, of future comparative research studies.

Cocaine-Induced Plasma Cell Orificial "Dermatomucositis": A More Accurate Descriptive Term for a Clearly Dermatological Entity.

ABSTRACT: Although the involvement of the nasal passages and nasal septum in cocaine users has been known for decades, a new presentation affecting the nostrils and upper lip with an inflamed appearance has recently been documented. The authors who identified this presentation termed it "cocaine-related plasma cell mucositis" due to the abundance of plasma cells in the infiltrate. In this article, we present a second case and emphasize the dermal involvement of the lip, leading us to consider the condition as a genuine dermatomucositis.

A Nationwide, Prospective Study of Tracheal Intubation in Critically Ill Adults in Spain: Management, Associated Complications, and Outcomes.

OBJECTIVES: Our aims were to explore current intubation practices in Spanish ICUs to determine the incidence and risk factors of peri-intubation complications (primary outcome measure: major adverse events), the rate and factors associated with first-pass success, and their impact on mortality as well as the changes of the intubation procedure observed in the COVID-19 pandemic. DESIGN: Prospective, observational, and cohort study. SETTING: Forty-three Spanish ICU. PATIENTS: A total of 1837 critically ill adult patients undergoing tracheal intubation. The enrollment period was six months (selected by each center from April 16, 2019, to October 31, 2020). INTERVENTIONS: None. MEASUREMENT AND MAIN RESULTS: At least one major adverse peri-intubation event occurred in 40.4 % of the patients (973 major adverse events were registered) the most frequent being hemodynamic instability (26.5%) and severe hypoxemia (20.3%). The multivariate analysis identified seven variables independently associated with a major adverse event whereas the use of neuromuscular blocking agents (NMBAs) was associated with reduced odds of major adverse events. Intubation on the first attempt was achieved in 70.8% of the patients. The use of videolaryngoscopy at the first attempt was the only protective factor (odds ratio 0.43; 95% CI, 0.28-0.66; p < 0.001) for first-attempt intubation failure. During the COVID-19 pandemic, the use of videolaryngoscopy and NMBAs increased significantly. The occurrence of a major peri-intubation event was an independent risk factor for 28-day mortality. Cardiovascular collapse also posed a serious threat, constituting an independent predictor of death. CONCLUSIONS: A major adverse event occurred in up to 40% of the adults intubated in the ICU. Peri-intubation hemodynamic instability but not severe hypoxemia was identified as an independent predictor of death. The use of NMBAs was a protective factor for major adverse events, whereas the use of videolaringoscopy increases the first-pass success rate of intubation. Intubation practices changed during the COVID-19 pandemic.

Clinical outcomes in combination versus mono antibiotic therapy in ICU admitted patients with a suspected infection - A substudy of the DIANA study.

PURPOSE: In a retrospective cohort study of intensive care unit (ICU) admitted adult patients with suspected or confirmed infection, associations between combination versus mono empirical antibiotic therapy and clinical cure at day 7 as well as mortality at day 7 and 28, were investigated. MATERIALS AND METHODS: Patients from the DIANA study were grouped and analysed by combination versus mono antibiotic therapy. Clinical cure was defined as survival and resolution of all signs and symptoms related to the infection. Odds ratios (ORs) were calculated by logistic regression analyses. RESULTS: Of the 1398 included patients, 568 patients (41%) received combination therapy. In total, 641(46%) patients achieved clinical cure and 135 (10%) patients had died as of day 7. There were no significant associations between combination and mono therapy relating to clinical cure and mortality. CONCLUSIONS: This study found no differences in clinical cure and mortality between empirical combination versus mono therapy in a large cohort of ICU patients with a suspected infection.

Targeting epidermal growth factor receptor to recruit newly generated neuroblasts in cortical brain injuries.

BACKGROUND: Neurogenesis is stimulated in the subventricular zone (SVZ) of mice with cortical brain injuries. In most of these injuries, newly generated neuroblasts attempt to migrate toward the injury, accumulating within the corpus callosum not reaching the perilesional area. METHODS: We use a murine model of mechanical cortical brain injury, in which we perform unilateral cortical injuries in the primary motor cortex of adult male mice. We study neurogenesis in the SVZ and perilesional area at 7 and 14 dpi as well as the expression and concentration of the signaling molecule transforming growth factor alpha (TGF-α) and its receptor the epidermal growth factor (EGFR). We use the EGFR inhibitor Afatinib to promote neurogenesis in brain injuries. RESULTS: We show that microglial cells that emerge within the injured area and the SVZ in response to the injury express high levels of TGF-α leading to elevated concentrations of TGF-α in the cerebrospinal fluid. Thus, the number of neuroblasts in the SVZ increases in response to the injury, a large number of these neuroblasts remain immature and proliferate expressing the epidermal growth factor receptor (EGFR) and the proliferation marker Ki67. Restraining TGF-α release with a classical protein kinase C inhibitor reduces the number of these proliferative EGFR+ immature neuroblasts in the SVZ. In accordance, the inhibition of the TGF-α receptor, EGFR promotes migration of neuroblasts toward the injury leading to an elevated number of neuroblasts within the perilesional area. CONCLUSIONS: Our results indicate that in response to an injury, microglial cells activated within the injury and the SVZ release TGF-α, activating the EGFR present in the neuroblasts membrane inducing their proliferation, delaying maturation and negatively regulating migration. The inactivation of this signaling pathway stimulates neuroblast migration toward the injury and enhances the quantity of neuroblasts within the injured area. These results suggest that these proteins may be used as target molecules to regenerate brain injuries.

Principal Component Analysis Applied to Digital Pulse Shape Analysis for Isotope Discrimination.

Digital pulse shape analysis (DPSA) techniques are becoming increasingly important for the study of nuclear reactions since the development of fast digitizers. These techniques allow us to obtain the (A, Z) values of the reaction products impinging on the new generation solid-state detectors. In this paper, we present a computationally efficient method to discriminate isotopes with similar energy levels, with the aim of enabling the edge-computing paradigm in future field-programmable gate-array-based acquisition systems. The discrimination of isotope pairs with analogous energy levels has been a topic of interest in the literature, leading to various solutions based on statistical features or convolutional neural networks. Leveraging a valuable dataset obtained from experiments conducted by researchers in the FAZIA Collaboration at the CIME cyclotron in GANIL laboratories, we aim to establish a comparative analysis regarding selectivity and computational efficiency, as this dataset has been employed in several prior publications. Specifically, this work presents an approach to discriminate between pairs of isotopes with similar energies, namely, 12,13C, 36,40Ar, and 80,84Kr, using principal component analysis (PCA) for data preprocessing. Consequently, a linear and cubic machine learning (ML) support vector machine (SVM) classification model was trained and tested, achieving a high identification capability, especially in the cubic one. These results offer improved computational efficiency compared to the previously reported methodologies.