Comparison between surgical and percutaneous tracheostomy effects on procalcitonin kinetics in critically ill patients

Available evidence from randomized controlled trials including adult critically ill patients tends to show that percutaneous dilatational tracheostomy (PDT) techniques are performed faster and reduce stoma inflammation and infection but are associated with increased technical difficulties compared with surgical tracheostomy (ST). A recent meta-analysis found that PDT was superior to reduce risk of periprocedural stoma inflammation and infection compared with ST. WE found no differences in procalcitonin, C-reactive protein, SOFA, and SAPS II between critically ill patients with ST or PDT

Implementations and strategies of telehealth during COVID-19 outbreak: a systematic review

Telehealth is an effective option to fight the outbreak of COVID-19. This review aims to systematically characterize the utilization and applications of telehealth during the COVID-19 pandemic focusing mainly on technology implementations

A comparison of videolaryngoscopes for tracheal intubation in predicted difficult airway: a feasibility study

Videolaryngoscopy has become increasingly attractive for the routine management of the difficult airway. Glidescope® is well studied in the literature while imago V-Blade® is a recent videolaryngoscope. This is a feasibility study with 1:1 case-control sequential allocation comparing Imago V-Blade ® and Glidescope® in predicted difficult airway settings

Preoperative anxiety during COVID-19 pandemic: A single-center observational study and comparison with a historical cohort

Background: Preoperative anxiety is a common sensation experienced by patients undergoing surgical interventions. It can influence intraoperative and postoperative management through the activation of the neuroendocrine system, leading to tachycardia, hypertension, pulmonary complications, higher consumption of anesthetic drugs, and increased postoperative pain. Our aim was to investigate the level of preoperative anxiety during the COVID-19 pandemic; we also compared it to the preoperative anxiety of a historical cohort before the outbreak. Methods: This is a single-center observational study. We enrolled 314 patients during the pandemic from May 2021 to November 2021, and our historical cohort consisted of 122 patients enrolled from July 2015 to May 2016 in the university hospital "Federico II" of Naples. The Amsterdam Preoperative Anxiety and Information Scale (APAIS) and the State-Trait Anxiety Inventory (STAI) were used to evaluate preoperative anxiety. In particular, APAIS measures preoperative anxiety and the need for information, and STAI assesses state and trait anxiety through STAI-Y1 and STAI-Y2, respectively. We analyzed APAIS and STAI scores in our population stratified on the basis of age, gender, marital status, previous surgical experiences, and type of surgery, and we compared them to our historical cohort. Statistical analysis was performed through a t-test and ANOVA for parametric data, and the Mann-Whitney and Kruskal-Wallis tests for non-parametric data. Linear regression was used to investigate the correlation between demographic data and the scores of STAI and APAIS in both groups. Results: Our results showed that state and preoperative anxiety remained stable, whereas trait anxiety increased in all the subgroups analyzed. Discussion: Even if state anxiety is considered a variable characteristic of the emotional sphere and trait anxiety a stable element, our findings suggested that COVID-19 deeply influenced trait anxiety, thus altering the patients' psychological foundations

Protocols of Anesthesia Management in Parturients with SARS-CoV-2 Infection

Background: Our hospital became a referral center for COVID-19-positive obstetric patients from 1 May 2020. The aim of our study is to illustrate our management protocols for COVID-19-positive obstetric patients, to maintain safety standards for patients and healthcare workers. Methods: Women who underwent vaginal or operative delivery and induced or spontaneous abortion with a SARS-CoV-2-positive nasopharyngeal swab using real-time PCR (RT-PCR) were included in the study. Severity and onset of new symptoms were carefully monitored in the postoperative period. All the healthcare workers received a nasopharyngeal swab for SARS-CoV-2 using RT-PCR serially every five days. Results: We included 152 parturients with COVID-19 infection. None of the included women had general anesthesia, an increase of severe symptoms or onset of new symptoms. The RT-PCR test was “negative” for the healthcare workers. Conclusions: In our study, neuraxial anesthesia for parturients’ management with SARS-CoV-2 infection has been proven to be safe for patients and healthcare workers. Neuraxial anesthesia decreases aerosolization during preoxygenation, face-mask ventilation, endotracheal intubation, oral or tracheal suctioning and extubation. This anesthesia management protocol can be generalizable

NetKet 3: Machine Learning Toolbox for Many-Body Quantum Systems

We introduce version 3 of NetKet, the machine learning toolbox for many-body quantum physics. NetKet is built around neural-network quantum states and provides efficient algorithms for their evaluation and optimization. This new version is built on top of JAX, a differentiable programming and accelerated linear algebra framework for the Python programming language. The most significant new feature is the possibility to define arbitrary neural network ansätze in pure Python code using the concise notation of machine-learning frameworks, which allows for just-in-time compilation as well as the implicit generation of gradients thanks to automatic differentiation. NetKet 3 also comes with support for GPU and TPU accelerators, advanced support for discrete symmetry groups, chunking to scale up to thousands of degrees of freedom, drivers for quantum dynamics applications, and improved modularity, allowing users to use only parts of the toolbox as a foundation for their own code