Application of machine learning approach in emergency department to support clinical decision making for SARS-CoV-2 infected patients.

To support physicians in clinical decision process on patients affected by Coronavirus Disease 2019 (COVID-19) in areas with a low vaccination rate, we devised and evaluated the performances of several machine learning (ML) classifiers fed with readily available clinical and laboratory data. Our observational retrospective study collected data from a cohort of 779 COVID-19 patients presenting to three hospitals of the Lazio-Abruzzo area (Italy). Based on a different selection of clinical and respiratory (ROX index and PaO2/FiO2 ratio) variables, we devised an AI-driven tool to predict safe discharge from ED, disease severity and mortality during hospitalization. To predict safe discharge our best classifier is an RF integrated with ROX index that reached AUC of 0.96. To predict disease severity the best classifier was an RF integrated with ROX index that reached an AUC of 0.91. For mortality prediction the best classifier was an RF integrated with ROX index, that reached an AUC of 0.91. The results obtained thanks to our algorithms are consistent with the scientific literature an accomplish significant performances to forecast safe discharge from ED and severe clinical course of COVID-19.

Hypopharynx, oropharynx morphology and histology in severe Coronavirus 2 patients treated by noninvasive ventilation: comparison between full-face mask and helmet strategies.

BACKGROUND: Non-invasive ventilation may alter the morphology and histology of the upper airway mucosa. This study aimed to investigate the alterations of hypopharynx and oropharynx mucosa, identified during oro-tracheal intubation procedure via video-assisted laryngoscopy, in severe acute respiratory syndrome Coronavirus 2 related, treated by non-invasive ventilation via full-face mask or helmet. METHODS: Data of patients affected by Coronavirus 2 admitted to COVID Hospital of L'Aquila (Italy), presenting hypopharynx and oropharynx morphology alterations, requiring oro-tracheal intubation for invasive ventilation and initially treated with non-invasive ventilation were included in the study. The study aimed to investigate the upper airway mucosa alterations using oropharyngeal and hypopharyngeal images and biopsies taken during video-assisted-laryngoscopy. Data from the hypopharynx and oropharynx morphology and histology alterations between non-invasive ventilation via a full-face mask or helmet used during hospitalization were compared. RESULTS: From 220 data recorded, 60 patients were included in the study and classified into non-invasive ventilation full-face mask group (30/60) and via helmet group. Comparing data between groups, significant differences were found with respect to hyperemia (77% vs. 20%), laryngeal bleeding ulcerations (87% vs. 13%), and vocal cord edema with >50% narrowing of the tracheal lumen (73% vs. 7%), respectively. The histology examination revealed fibrin-necrotic exudate with extensive necrotic degenerative changes in the sample tissue of the groups. There were not any differences in the duration time of non-invasive ventilation, time from hospitalization and the start of ventilation between groups. CONCLUSIONS: The data from this research suggested that there were differences in airway mucosa damages among patients treated with a full-face mask or helmet. Further studies should be planned to understand which non-invasive ventilation support may mitigate upper airway mucosa damages when oro-tracheal intubation is requested for invasive respiratory support.

Pain in critically ill COVID-19 patients: An Italian retrospective study.

We retrospectively analyzed the data from patients admitted to the intensive care unit (ICU) of the Hospital of L'Aquila during the first and second waves of pandemic to identify pain related to COVID-19. Pain was evaluated by using the Numerical Rating Scale, and the assessment for neuropathic disturbances of pain was performed with von Frey's hair and Lindblom tests. Pain increased significantly during hospitalization (from 48% at hospital admission to 94.3% at ICU discharge). Female patients were affected by somatic pain in 32.8% of the cases and by somatic pain and pain with neuropathic features (NFs) in 23.5% of the cases, during the ICU stay. Somatic pain and pain with NFs affected more frequently patients with cardiological and respiratory comorbidities. Patients treated with continuous positive airway pressure via helmet had a higher frequency of somatic pain and pain with neuropathic disturbances (84 and 74%, respectively). The frequency of somatic pain and pain with neuropathic disturbances was lower in patients sedated with propofol combined with ketamine. Females have been associated with a higher risk of somatic pain and pain with NFs. Patients with cardiological and respiratory comorbidities undergoing noninvasive ventilation had higher levels of pain. As conclusion, ketamine may reduce the promotion or the worsening of pain in COVID-19 patients.

Analysis on Burnout, Job Conditions, Alexithymia, and Other Psychological Symptoms in a Sample of Italian Anesthesiologists and Intensivists, Assessed Just before the COVID-19 Pandemic: An AAROI-EMAC Study.

Background. It was previously reported that health care professionals working in the fields of anesthesiology and emergency are at higher risk of burnout. However, the correlations between burnout, alexithymia, and other psychological symptoms are poorly investigated. Furthermore, there is a lack of evidence on which risk factors, specific to the work of anesthetists and intensivists, can increase the risk of burnout, and which are useful for developing remedial health policies. Methods. This cross-sectional study was conducted in 2020 on a sample of 300 professionals recruited from AAROI-EMAC subscribers in Italy. Data collection instruments were a questionnaire on demographic, education, job characteristics and well-being, the Maslach Burnout Inventory Tool, the Toronto Alexithymia Scale, the Symptom Checklist-90-R, and the Rosenberg Self-Esteem Scale administered during refresher courses in anesthesiology. Correlations between burnout and physical and psychological symptoms were searched. Results. With respect to burnout, 29% of individuals scored at high risk on emotional exhaustion, followed by 36% at moderate-high risk. Depersonalization high and moderate-high risk were scored by 18.7% and 34.3% of individuals, respectively. Burnout personal accomplishment was scored by 34.7% of respondents. The highest mean scores of burnout dimensions were related to dissatisfaction with one's career, conflicting relationships with surgeons, and, finally, difficulty in explaining one's work to patients. Conclusions. Burnout rates in Italian anesthesiologists and intensivists have been worrying since before the COVID-19 pandemic. Anesthesiologists with higher levels of alexithymia are more at risk for burnout. It is therefore necessary to take urgent health policy measures..

Strengths and Weaknesses of Cancer Pain Management in Italy: Findings from a Nationwide SIAARTI Survey.

OBJECTIVES: Despite guidelines, a large percentage of cancer patients continue to suffer from ineffectively treated pain. The authors undertook this survey to assess the strengths and weaknesses of cancer pain management in Italy. DESIGN: This was a prospectively administered survey. PARTICIPANTS: The participants were anesthesiologists of the Italian Society of Anesthesia, Analgesia, Resuscitation and Intensive Care (SIAARTI). INTERVENTION: A 58-item questionnaire covered the demographics and features of cancer pain management in the Italian context. RESULTS: The authors received responses from 611 pain therapists of 279 centers. Only 22% of physicians are exclusively pain therapists. Seventy-five percent are specialists in anesthesiology, intensive care, and pain medicine. Most pain centers are hospital or university facilities (78%). The strengths of cancer pain management in Italy are the careful opioid prescriptions, the use of strategies for the treatment of neuropathic pain, patient/healthcare provider partnerships, and breakthrough cancer pain management. Weaknesses to be addressed include poor adherence to guidelines, inadequate attention toward the patient's quality of life, insufficient use of minimally invasive techniques, lack of teamwork approaches, inappropriate timing of pain specialist engagement, and poor telemedicine use. CONCLUSIONS: Despite several strengths, further efforts are needed to improve the care of patients suffering from cancer pain in Italy.