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Context: As COVID-19 overwhelms health systems worldwide, palliative care strategies may ensure rational use of resources while safeguarding patient comfort and dignity., Objective: To describe palliative care practices in hospitalized middle-aged and older adults in two of the largest COVID-19 treatment centers in Sao Paulo, Brazil., Methods: Retrospective cohort. Eligible patients were those aged 50 years or older hospitalized between March and May 2020 with a laboratory confirmation of SARS-CoV-2 infection. Palliative care implementation was defined as present if medical notes indicated a decision to limit escalation of life support measures, or when opioids or sedatives were prescribed for palliative management of symptoms., Results: We included 1162 participants (57% male, median 65 years). Overall, 21% were frail and 54% were treated in intensive care units, but only 17% received palliative care. Stepwise logistic regression demonstrated that age ≥80 years, dementia, history of stroke or cancer, frailty, having a PaO 2 /FiO 2 <200 or a C-reactive protein ≥150mg/dL at admission predicted palliative care implementation. Patients placed under palliative care stayed longer (13 vs.11 days) and were more likely to die in hospital (86 vs.27%). They also spent more days in ICU and received vasoactive drugs, hemodialysis, and invasive ventilation more frequently., Conclusions: One in five middle-aged and older adults hospitalized with COVID-19 received palliative care in our cohort. Patients who were very old, multimorbid, frail, and had severe COVID-19 were more likely to receive palliative care. However, it was often delayed until advanced and invasive life support measures had already been implemented., (Copyright © 2022 American Academy of Hospice and Palliative Medicine. Published by Elsevier Inc. All rights reserved.)

Objective: To describe clinical characteristics, resource use, outcomes, and to identify predictors of in-hospital mortality of patients with COVID-19 admitted to the intensive care unit., Methods: Retrospective single-center cohort study conducted at a private hospital in São Paulo (SP), Brazil. All consecutive adult (≥18 years) patients admitted to the intensive care unit, between March 4, 2020 and February 28, 2021 were included in this study. Patients were categorized between survivors and non-survivors according to hospital discharge., Results: During the study period, 1,296 patients [median (interquartile range) age: 66 (53-77) years] with COVID-19 were admitted to the intensive care unit. Out of those, 170 (13.6%) died at hospital (non-survivors) and 1,078 (86.4%) were discharged (survivors). Compared to survivors, non-survivors were older [80 (70-88) versus 63 (50-74) years; p<0.001], had a higher Simplified Acute Physiology Score 3 [59 (54-66) versus 47 (42-53) points; p<0.001], and presented comorbidities more frequently. During the intensive care unit stay, 56.6% of patients received noninvasive ventilation, 32.9% received mechanical ventilation, 31.3% used high flow nasal cannula, 11.7% received renal replacement therapy, and 1.5% used extracorporeal membrane oxygenation. Independent predictors of in-hospital mortality included age, Sequential Organ Failure Assessment score, Charlson Comorbidity Index, need for mechanical ventilation, high flow nasal cannula, renal replacement therapy, and extracorporeal membrane oxygenation support., Conclusion: Patients with severe COVID-19 admitted to the intensive care unit exhibited a considerable morbidity and mortality, demanding substantial organ support, and prolonged intensive care unit and hospital stay.

Background: Over 66 million people worldwide have been diagnosed with COVID-19. Therefore, understanding their clinical evolution beyond hospital discharge is essential not only from an individual standpoint, but from a populational level., Objectives: Our primary aim was to assess the impact of COVID-19 on health-related quality of life (HRQoL) 3 months after hospital discharge. Additionally, we screened for anxiety and depression and assessed important clinical outcomes., Methods: This was a single-center cohort study performed in Sao Paulo (Brazil), in which participants were contacted by telephone to answer a short survey. EQ-5D-3L was used to assess HRQoL and clinical data from patients' index admission were retrieved from medical records., Results: We contacted 251 participants (59.8% males, mean age 53 years old), 69.7% of which had presented with severe COVID-19. At 3 months of follow-up, 6 patients had died, 51 (20.3%) had visited the emergency department again and 17 (6.8%) had been readmitted to hospital. Seventy patients (27.9%) persisted with increased dyspnoea and 81 had a positive screening for anxiety/depression. Similarly, patients reported an overall worsening of EQ-5D-3L single summary index at 3 months compared to before the onset of COVID-19 symptoms (0.8012 (0.7368 - 1.0) vs. 1.0(0.7368 - 1.0), p < 0.001). This affected all 5 domains, but especially pain/discomfort and anxiety/depression. Only female sex and intensive care requirement were independently associated with worsening of HRQoL., Conclusion: Patients hospitalized for COVID-19 frequently face persistent clinical and mental health problems up to 3 months following hospital discharge, with significant impact on patients' HRQoL., (Copyright © 2021 Elsevier Ltd. All rights reserved.)

Background: Online spaced education (OSE) is a method recognized for promoting long-term knowledge retention, changing behaviors and improving outcomes for students and healthcare professionals. However, there is little evidence about its impacts on patient education., Objectives: The aim of this research was to compare knowledge retention using educational brochure and OSE on individuals with multiple sclerosis (MS) and to verify the impact of educational methods on fall outcome., Methods: Individuals with MS (n = 230) were randomly assigned to two types of patient education-educational brochure (control) and OSE (intervention). During 12 weeks, the intervention group received multiple-choice tests on fall prevention. Knowledge retention, behavior change and fall incidence were assessed before intervention and after 3 and 6 months. The participants' satisfaction with the education method was also evaluated., Results: Knowledge retention was similar between groups, and behavior change was observed in both groups. There was a significant reduction in fall rate in the intervention group, from 0.60 to 0.27 at 6 months (P < 0.001). Participants' satisfaction achieved an average of 8.75, with no differences between groups., Conclusion: Individuals demonstrated significant improvement in fall rate outcome in both groups with no significant difference. In regard to test scores and satisfaction, results were similar between groups., (© The Author(s) 2021. Published by Oxford University Press on behalf of International Society for Quality in Health Care. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.)

Background: The efficacy and safety of azithromycin in the treatment of COVID-19 remain uncertain. We assessed whether adding azithromycin to standard of care, which included hydroxychloroquine, would improve clinical outcomes of patients admitted to the hospital with severe COVID-19., Methods: We did an open-label, randomised clinical trial at 57 centres in Brazil. We enrolled patients admitted to hospital with suspected or confirmed COVID-19 and at least one additional severity criteria as follows: use of oxygen supplementation of more than 4 L/min flow; use of high-flow nasal cannula; use of non-invasive mechanical ventilation; or use of invasive mechanical ventilation. Patients were randomly assigned (1:1) to azithromycin (500 mg via oral, nasogastric, or intravenous administration once daily for 10 days) plus standard of care or to standard of care without macrolides. All patients received hydroxychloroquine (400 mg twice daily for 10 days) because that was part of standard of care treatment in Brazil for patients with severe COVID-19. The primary outcome, assessed by an independent adjudication committee masked to treatment allocation, was clinical status at day 15 after randomisation, assessed by a six-point ordinal scale, with levels ranging from 1 to 6 and higher scores indicating a worse condition (with odds ratio [OR] greater than 1·00 favouring the control group). The primary outcome was assessed in all patients in the intention-to-treat (ITT) population who had severe acute respiratory syndrome coronavirus 2 infection confirmed by molecular or serological testing before randomisation (ie, modified ITT [mITT] population). Safety was assessed in all patients according to which treatment they received, regardless of original group assignment. This trial was registered at ClinicalTrials.gov, NCT04321278., Findings: 447 patients were enrolled from March 28 to May 19, 2020. COVID-19 was confirmed in 397 patients who constituted the mITT population, of whom 214 were assigned to the azithromycin group and 183 to the control group. In the mITT population, the primary endpoint was not significantly different between the azithromycin and control groups (OR 1·36 [95% CI 0·94-1·97], p=0·11). Rates of adverse events, including clinically relevant ventricular arrhythmias, resuscitated cardiac arrest, acute kidney failure, and corrected QT interval prolongation, were not significantly different between groups., Interpretation: In patients with severe COVID-19, adding azithromycin to standard of care treatment (which included hydroxychloroquine) did not improve clinical outcomes. Our findings do not support the routine use of azithromycin in combination with hydroxychloroquine in patients with severe COVID-19., Funding: COALITION COVID-19 Brazil and EMS., (Copyright © 2020 Elsevier Ltd. All rights reserved.)

Background: Datathons are increasingly organized in the healthcare field. The goal is to assemble people with different backgrounds to work together as a team and engage in clinically relevant research or develop algorithms using health-related datasets. Criteria to assess the return of investment on such events have traditionally included publications produced, patents for prediction, classification, image recognition and other types of software, and start-up companies around the application of machine learning in healthcare. Previous studies have not evaluated whether a datathon can promote affective learning and effective teamwork., Methods: Fifty participants of a health datathon event in São Paulo, Brazil at Hospital Israelita Albert Einstein (HIAE) were divided into 8 groups. A survey with 25 questions, using the Affective Learning Scale and Team-Review Questionnaire, was administered to assess team effectiveness and affective learning during the event. Multivariate regression models and Pearson's correlation tests were performed to evaluate the effect of affective learning on teamwork., Results: Majority of the participants were male 76% (37/49); 32% (16/49) were physicians. The mean score for learning (scale from 1 to 10) was 8.38, while that for relevance of the perceived teamwork was 1.20 (scale from 1 to 5; "1" means most relevant). Pearson's correlation between the learning score and perception of teamwork showed moderate association (r = 0.36, p = 0.009). Five learning and 10 teamwork variables were on average positively graded in the event. The final regression model includes all learning and teamwork variables. Effective leadership was strongly correlated with affective learning (β = -0.27, p < 0.01, R 2  = 75%). Effective leadership, team accomplishment, criticism, individual development and creativity were the variables significantly associated with higher levels of affective learning., Conclusion: It is feasible to enhance affective knowledge and the skill to work in a team during a datathon. We found that teamwork is associated with higher affective learning from participants' perspectives. Effective leadership is essential for teamwork and is a significant predictor of learning., (Copyright © 2018 Elsevier B.V. All rights reserved.)

Severe hemorrhage with necessity of allogeneic blood transfusion is common complication in intensive care unit and is associated with increased morbidity and mortality. Prompt recognition and treatment of bleeding causes becomes essential for the effective control of hemorrhage, rationalizing the use of allogeneic blood components, and in this way, preventing an occurrence of their potential adverse effects. Conventional coagulation tests such as prothrombin time and activated partial thromboplastin time present limitations in predicting bleeding and guiding transfusion therapy in critically ill patients. Viscoelastic tests such as thromboelastography and rotational thromboelastometry allow rapid detection of coagulopathy and goal-directed therapy with specific hemostatic drugs. The new era of thromboelastometry relies on its efficacy, practicality, reproducibility and cost-effectiveness to establish itself as the main diagnostic tool and transfusion guide in patients with severe active bleeding.