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Objectives: Implementation of venovenous extracorporeal membrane oxygenation (VVECMO) allowed survival of patients with severe respiratory failure associated with SARS-CoV-2 infection. However, VVECMO treatment is usually associated with long ICU stays, prolonged sedation, and neuromuscular blockage days. Functional disability, due to delirium and acquired muscle weakness, is frequently an inevitable burden causing long term disability. This study aims to analyse main characteristics of patients under ECMO due to COVID-19 pneumonia, their outcomes and functional status six months after ICU discharge. Method(s): Retrospective review of a prospectively collected database in an ECMO referral centre. All patients receiving VVECMO for SARS-CoV-2 infection were included. Epidemiological and clinical data were reviewed. Functional status at 6 months after ICU discharge was assessed with modified Rankin Scale (mRS). Result(s): Ninety-three patients were included (29% female). Median age was 54+/-12 years, mean SOFA was 5.7+/-2.9, mean SAPS II was 35.6+/-13.6. Mean time from intubation to cannulation was 5+/-5.6 days in 91 patients;awake-ECMO was performed in 2 patients. Mean ECMO run duration was 33.1+/-30 days (longest ECMO run was 194 days). A period of awake-ECMO was performed on 36.5% of patients, during 16.4+/-21.2 days. ICU-acquired weakness was diagnosed on 64.5% of patients and delirium on 63.4%. Mortality was 24.7% (23 patients) with only 1 patient deceased in hospital after ICU discharge. At 6 months follow-up, all patients were still alive and most of them (65.1%) were independent on all daily activities (mRS <= 2). Conclusion(s): Patients with severe COVID-19 treated with VVECMO support had very good functional outcomes at six-month follow-up. Despite long ICU length-of-stay, high incidence of delirium and acquired muscle weakness, full recovery at six-month post-ICU discharge was achievable in most patients.
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Objectives: In patients with severe respiratory failure, invasive ventilation may deteriorate the pneumomediastinum and hypoxia. This study aimed to compare the mortality and the complications of the patients with coronavirus disease 2019 (COVID-19) related severe ARDS treated with invasive ventilation or veno-venous ECMO (VV-ECMO) to avoid intubation. We hypothesized that VV-ECMO support without prior intubation is a feasible alternative strategy to invasive ventilation. Method(s): This retrospective study evaluated patients with COVID-19 related severe respiratory failure and radiological evidence of pneumomediastinum. The primary outcome was intensive care unit (ICU) survival at 90 days. Result(s): Out of 347 patients with COVID-19 disease treated in our unit, 22 patients developed spontaneous pneumomediastinum associated with deterioration of respiratory function. In 13 patients (59%), invasive ventilation was chosen as initial respiratory support;in 9 patients (41%), VV-ECMO was chosen as initial respiratory support. The median age of the patients in the invasive ventilation group was 62 years (IQR: 49-69) compared to 53 years (IQR: 46-62) in ECMO group (P=0.31). No statistically significant difference in SAPS II score between the groups was observed (39.7 (IQR: 33.2-45.3) vs. 28.9 (IQR:28.4-34.6), P=0.06). No elevated fluid balance within the first 4 days was observed in the ECMO group compared to the invasive ventilation group (162 mL (IQR: -366-2000) vs. 3905 mL (IQR: 2068-6192), P=0.07). VV-ECMO as the initial strategy for supporting patients with severe respiratory failure and pneumomediastinum, was associated with lower 90 days mortality (HR: 0.33 95%-CI: 0.11-0.97, P= 0.04) compared to patients treated with invasive ventilation (Figure). Conclusion(s): VV-ECMO can be an alternative strategy to invasive ventilation for treating patients with severe respiratory failure and spontaneous pneumomediastinum. (Figure Presented).
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In December 2019, several cases of pneumonia caused by SARS-CoV-2 were identified in the city of Wuhan (China), which was declared by the WHO as a pandemic in March 2020 because it caused enormous problems to public health due to its rapid transmission of contagion. Being an uncontrolled case, precautions were taken all over the world to moderate the coronavirus that undoubtedly was very deadly for any person, presenting several symptoms, among them we have fever as a common symptom. A biosecurity measure that is frequently used is the taking of temperature with an infrared thermometer, which is not well seen by some specialists due to the error they present, therefore, it would not represent a safe measurement. In view of this problem, in this article a thermal image processing system was made for the measurement of body temperature by means of a drone to obtain the value of body temperature accurately, being able to be implemented anywhere, where it is intended to make such measurement, helping to combat the spread of the virus that currently continues to affect many people. Through the development of the system, the tests were conducted with various people, obtaining a more accurate measurement of body temperature with an efficiency of 98.46% at 1.45 m between the drone and the person, in such a way that if it presents a body temperature higher than 38° C it could be infected with COVID-19. © 2023 IEEE.
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Body temperature is a significant vital sign that can provide great insight as to the state of health of a person. Nowadays, body temperatures are monitored as often as a precaution for the COVID-19 virus. This can be achieved with the use of wearables, which can be non-invasive and convenient for anybody to use. This study aims to design and construct a wearable that can accurately detect the body temperature of a person using the MLX90614 sensor as well as an I2C enabled LCD to allow the user to monitor their temperature at a moment's notice. © 2023 IEEE.
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Objectives: This case intended to explore the effectiveness of cognitive behavioral approach via electronic means in treating symptoms associated with Panic Disorder and pre-occupation with health-related concerns. Design of the study: It's a single-case study design for an in-depth understanding of client and the disorder dynamics. Place and Duration of the study: The case study was done via electronic means during Covid-19, from June 2020 to October 2020 in Lahore, Pakistan. Sample and Method: Case study was done on a 24 years old female having Panic Disorder, along with sub-threshold features of Illness Anxiety Disorder. Psycho-diagnostic interview (DSM-V Criteria), CBT assessment form, Panic Disorder Checklist, HFD and TAT used in the initial phase for case conceptualization. Further, techniques from the Cognitive Behavioral Therapy were used for the client's catastrophic thoughts and cognitive distortions to alter her overestimation of threat in reducing her panic attacks. Cognitive Behavior Therapy techniques such as thought reconstruction, grounding techniques along with mindful relaxation techniques also helped the client gain control over her anxious thinking process and pre-occupation with health. Results and Conclusion: CBT techniques helped improve the client's overall functioning, panic attacks were eliminated and preoccupation with health was reduced. The results and client's recovery established that Cognitive Behavior Therapy via online means is an effective approach to treat Panic Disorder and negative thinking process.
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Porcine deltacoronavirus (PDCOV) is a new type of pig intestinal coronavirus, which targets pig small intestinal epithelial cells to cause severe enteritis. After infecting the host, PDCoV finishes its proliferation in the host cell by antagonism or escape the innate immune signaling transduction pathway. In order to understand the action mechanism of PDCOV 0n the congenital immune signal transduction pathways, this paper reviews the effects of PDCOV on RLR, Jak-STAT, MAPK and mitochondrial signaling pathway to clarify the relationship between PDCOV and host innate immune signaling transduction pathways in order to provide help for the prevention and treatment of PDCOV infection.
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Developing an automatic door-opening system that can recognize masks and gauge body temperature is the aim of this project. The new Corona Virus (COVID-19) is an unimaginable pandemic that presents the medical industry with a serious worldwide issue in the twenty-first century. How individuals conduct their lives has substantially changed as a result. Individuals are reluctant to seek out even the most basic healthcare services because of the rising number of sick people who pass away, instilling an unshakable terror in their thoughts.This paper is about the Automatic Health Machine (AHM). In this dire situation, the government provided the people with a lot of directions and information. Apart from the government, everyone is accountable for his or her own health. The most common symptom of corona infection is an uncontrollable rise in body temperature. In this project, we create a novel device to monitor people's body temperatures using components such as an IR sensor and temperature sensor. © 2023 IEEE.
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Previous studies have revealed that developmental regulated brain protein (Drebrin) is involved in cell- to-cell communication, nerve transmission, tumor metastasis, spermatogenesis and other life activities, but there are few studies on viruses. The aim of the current research was therefore, to study the function of Drebrin and its effect on the proliferation of porcine epidemic diarrhea virus (PEDV). The Drebrin gene was cloned according to the Drebrin gene sequence (XM_008015438.2) of Chlorocebus sabaeus registered by GenBank, and the phylogenetic tree was constructed to analyze its homology. The results showed that the CDS region of Vero cells Drebrin gene was 2088 bp long, encoding 695 amino acids, and was relatively conserved and had high homology with all species. To investigate the effect of Drebrin on the proliferation of PEDV in Vero cells, the eukaryotic expression vector pcDNA3.1-Drebrin-Flag was constructed. After transfection of Vero cells with different concentrations of pcDNA3.1-Drebrin-Flag, cells were infected with PEDV. Our results showed that overexpression of Drebrin in Vero cells could significantly inhibit the intracellular PEDV mRNA level and N protein expression, reduce the extracellular virus titer and inhibit the proliferation of PEDV. Further study on the interaction between Drebrin and PEDV S proteins by laser confocal technique was also performed. The results showed that Drebrin and S protein were co-located in the cytoplasm, suggesting that the two proteins may interact with each other. This study demonstrated for the first time that Drebrin can inhibit PEDV proliferation in Vero cells, laying a foundation for further research in to Drebrin function and provides a valuable information for anti-PEDV research.
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Digital technology is expected to improve care and address significant service pressures within the National Health Service and social care though evidence on how their implementation might be optimised is lacking. This study explores how one such example, home-based sensors with artificial intelligence capabilities, was implemented in English social care to identify changes in behaviour that indicate the onset of potentially more serious issues. Its focus was staff perspectives on decision-making processes and implementation, to inform recommendations for others exploring the potential of new and emerging technology. Qualitative data were collected from 18 semistructured interviews conducted across three sites delivering social care, with senior decision makers, operational leads, and care staff. We identified several issues with the selection process and implementation of AI-based technology in social care, including a lack of consensus around what success would look like, problems identifying and evaluating alternatives, and technical challenges to implementation, as well as obstacles to developing a longer-term, more preventative approach in a system experienced as focused on responding to acute needs. Ultimately, the research confirmed a number of recognised implementation challenges associated with training, resource, and acceptability to staff and patients. It added particular insights around the anxieties experienced by frontline staff and the cultural shift required of preventative interventions in a system geared to meeting acute crises. That many barriers are familiar suggests a particular need to focus on helping policymakers/local leaders avoid similar pitfalls in the future.
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Postconcussion syndrome is a devastating condition of the mind, body, and even personality. Mounting research demonstrates that heart rate variability biofeedback can help the concussed individual in three critical ways: (a) eliciting high amplitude oscillations in cardiovascular functions and thereby strengthening self-regulatory control mechanisms;(b) restoring autonomic balance;and (c) increasing the afferent impulse stream from the baroreceptors to restore balance between inhibitory and excitatory processes in the brain.
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The COVID-19 pandemic has influenced various aspects of people's lives;for instance, restrictions during the pandemic have forced people to think about sports participation and physical activity in new ways. There has been growing interest in technological interventions to support exercise-related behavioural changes in daily life;in particular, exergames designed to induce full-body movement offer alternatives to physical activity. Since Taiwan has a high rate of ownership of exergame-related equipment, it is worth examining players' perceptions of using exergames for exercise. This study utilised a Means-End Chain analysis with in-depth laddering interviews to investigate Taiwanese perceptions of certain attributes of exergames as most likely to produce desired consequences in accordance with their values. The findings provide researchers and practitioners interested in the use of technology for exercise with valuable implications of Means-End Chain theory and structuration theory and suggestions for exergame design and promotion.
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Iron and zinc are important minerals in humans in sub Saharan Africa, whose deficiency is known as "hidden hunger" due to the lack of recognised symptoms in the early stages. Although iron deficiency is the most prevalent, zinc is also involved in inhibition of replication of viruses, including the corona virus (COVID-19). In North Kivu and South Kivu provinces where more than 50% of common bean is produced and consumed in Democratic Republic of Congo, 36% and 47% of preschool children are anemic due to iron deficiency. This paradox is mainly due to insufficiency of iron-rich foods. The aim of this study is to characterise 59 iron and zinc biofortified varieties together with six local varieties of common bean for a potential selection programme in Butembo town in the Democratic Republic of Congo. We focused on 15 qualitative and five quantitative parameters. The qualitative parameters were helpful to distinguish the different morphotypes and for cluster analysis. In addition to the descriptive statistics, the quantitative data were used for Pearson correlation and for principal component analysis, PCA. Qualitative parameters enabled grouping of the study genotypes into 14 morphotypes according to the aspect and colour of the seed coat, the colour around the hilum and the size of seeds. Clustering grouped the 65 genotypes into 12 clusters with the most similar genotypes grouped in the same cluster. Quantitative parameters showed that the study genotypes were dissimilar (P=0.00). A positive correlation was obtained between the days to flowering and the days to maturity (P<0.05) and between the number of pods per plant and the days to flowering. A strong correlation was found between the number of pods per plant and seeds per pod (P<0.01). In contrast, a negative correlation was observed between the 100 seed weight and the number of seeds per pod. The PCA represented on two perpendicular axes showed 64.1% of the total variance of which the 42.3% is explained by the first axis and 21.8% by the second axis. Overall, the study genotypes are morphologically and quantitatively different and thus can be used in a selection programme.
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This research article presents an analysis of health data collected from wearable devices, aiming to uncover the practical applications and implications of such analyses in personalized healthcare. The study explores insights derived from heart rate, sleep patterns, and specific workouts. The findings demonstrate potential applications in personalized health monitoring, fitness optimization, and sleep quality assessment. The analysis focused on the heart rate, sleep patterns, and specific workouts of the respondents. Results indicated that heart rate values during functional strength training fell within the target zone, with variations observed between different types of workouts. Sleep patterns were found to be individualized, with variations in sleep interruptions among respondents. The study also highlighted the impact of individual factors, such as demographics and manually defined information, on workout outcomes. The study acknowledges the challenges posed by the emerging nature of wearable devices and technological constraints. However, it emphasizes the significance of the research, highlighting variations in workout intensities based on heart rate data and the individualized nature of sleep patterns and disruptions. Perhaps the future cognitive healthcare platform may harness these insights to empower individuals in monitoring their health and receiving personalized recommendations for improved well-being. This research opens up new horizons in personalized healthcare, transforming how we approach health monitoring and management.
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INTRODUCTION: Pregnancy is characterized by an altered pattern of emotions and sleep. The aim of this study was to examine the effect of emotional distress on objective sleep parameters in underserved pregnant women during the COVID-19 pandemic. METHODS: Institutional review board approval was obtained for the study. This was a longitudinal observation study in which we administered weekly validated self-reported surveys (Patient Health Questionnaire-2, Generalized Anxiety Disorder-2, COVID-19-related anxiety, and life-related stressors) to consented pregnant women over the course of their second and third trimesters (n=13). The independent variable, subjective emotional distress, was derived from a sum score of these weekly surveys. A wearable device was used to measure objective sleep physiological data, such as the rapid eye movement (REM), deep, and light sleep stages. The dependent variables were obtained from weekly average scores of the sleep data. Multilevel analysis was conducted, controlling for relevant covariates. RESULTS: Adjusting for gestational age, maternal age at enrollment, and prepregnancy body mass index, higher emotional distress was associated with a shorter duration of deep sleep (b=−.65, P <.05) and longer duration of REM sleep (b=.79, P <.01). There was no significant relationship between emotional distress and light sleep. CONCLUSION: Our study appears to be the first to provide preliminary evidence that emotional distress negatively affects sleep in terms of decreased deep sleep and increased REM sleep during pregnancy. Findings suggest that further research is needed to understand the role of sleep in the relationships between emotional distress and adverse maternal and infant health outcomes. [ FROM AUTHOR] Copyright of Obstetrics & Gynecology is the property of Lippincott Williams & Wilkins and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full . (Copyright applies to all s.)
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Background: Septic shock, defined as organ dysfunction caused by a dysregulated host response to infection, is a condition associated with high morbidity and mortality. One of the hallmarks of sepsis is the excessive release of cytokines and other inflammatory mediators that cause septic shock and multi-organ failure (MOF). New adsorbents are now available as adjuvant therapy aimed at modulating the cytokine "storm" in sepsis. They are thought to be useful if adopted early (within 8-24 hours of the diagnosis of septic shock) in patients who are unresponsive to standard therapy. Here we report our experience with CytoSorb. Method(s): From January 2021 to May 2022, 46 patients with septic shock were treated with continuous renal replacement therapy (CRRT) associated with hemoadsorption with CytoSorb. All cases presented organ failure including AKI. Surgical patients (n = 13) were treated with surgery, COVID patients (n = 15) and medical patients (n = 16) with medical therapy;all surgery cases were operated on before starting the haemadsorption and in some cases reoperation with the need to suspend the adsorption. The mean age was 69 +/- 17 years (SD). On admission the mean SAPSII score was 50 +/- 11 (SD). CRRT as hemodiafiltration (CVVHDF) was performed. All patients received at least one CytoSorb treatment and additional treatments (up to 21 filters in a Covid patient) according to our indication. The CytoSorb cartridge was installed in series to the high cut-off filter;blood flow rates were maintained between 120 and 150 mL/min while dialysis doses from 18 to 45 mL/kg/hour. CytoSorb was renewed every 24 hours. We evaluated the impact of CytoSorb on 30-day survival, haemodynamics and relevant outcomes. Result(s): The 30-day survival was 30%. During treatment with CytoSorb, patients had a hemodynamic stabilization with a significant improvement in MAP, a reduction in amines and a decrease in PCR and PCT (Figure 1). Mortality at 30 days among medical patients was almost comparable to that of COVID patients and higher than that of surgical patients (70%, 69% and 61%, respectively). It should be noted that almost half of the deceased patients arrived late in the hospital, thus leading to a late start of treatment. Conclusion(s): We confirm the efficacy and usefulness of the CytoSorb if adopted early in patients who do not respond to standard therapy. CytoSorb treatment was safe and well tolerated with no device-related adverse events during or after treatment sessions.
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Objectives: It is well known that severe COVID-19 is associated with complex immunological and inflammatory dysregulation. Both these physiopathological events translate to a high risk of major thrombotic or hemorrhagic events. In patients treated with venovenous extracorporeal membrane oxygenation (VVECMO), membrane dysfunction might affect systemic oxygenation and limit its duration-expectancy. This study aimed to assess the possible causes of extracorporeal membrane failure in COVID-19 patients and its impact on outcome. Method(s): Retrospective, single-center, observational case-control study involving adult COVID-19 patients admitted to an ECMO referral centre in a tertiary university hospital. All patients required VVECMO for acute respiratory failure, including 48 cases who needed one or more extracorporeal membrane exchanges and 45 controls (no membrane exchange). These two groups were compared for demographic characteristics, severity of the disease using validated scores (SAPS II and SOFA), duration of ECMO run, coagulation assessment, cumulative anticoagulation dose, associated complications, and outcomes (ICU and hospital mortality). Result(s): Most patients were males (71.0%) and younger than 50 years (79.5%). Median ECMO run duration was significantly longer in the case group (35.0 vs 14.0 days, p <0.001), as well as ICU length-of-stay (45.5 vs 28 days, p <0.001). Membrane exchange tended to be associated with sepsis (56% vs 33%, p=0.037), major hemorrhage (58% vs 43%, p=0.022), heparin-induced thrombocytopenia (25% vs 9%, p=0.054), higher D-dimer title (17.36 ng/dL vs 7.5 ng/dL, p=0.07) and lower platelet counts (133.000/muL vs 154.000/muL). Median SAPS II (32.0 vs 33.0, p=0.20) and the mortality (27% vs 24%, p >0.99) were similar between these groups. Conclusion(s): In patients with SARS-CoV-2 pneumonia and severe hypoxemia treated with VVECMO support the emergence of infection, coagulopathy and inflammation were associated with high risk of membrane dysfunction. No impact on mortality could be confirmed from these data. Anticoagulation monitoring and dosing strategies should be reinforced to promote membrane protection.
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Objective: To look for any relationship between severe/critical coronavirus disease 2019 (COVID-19) illness and post-discharge cardiac function, and also assess any correlation between this and post-COVID symptom burden. Design: Observational cohort study with both retrospective and prospective components. Setting: Intensive Care Unit (ICU) and subsequent outpatient clinic at a tertiary hospital in Western Sydney, New South Wales (NSW), Australia. Patients: All patients admitted to the ICU with COVID-19 infection between 01 July 2021 and 31 December 2021 were included (n=89). Interventions: The cohort was divided into survivors (n=61) and non-survivors (n=28). Those who underwent transthoracic echocardiography (TTE) (survivors, n=22;and non-survivors, n=23). The survivors who had an inpatient TTE were invited back for a repeat TTE and standardised symptom assessment questionnaire (COVID-19 Yorkshire Rehabilitation Scale [C19-YRS]). For all patients, demographic, clinical, biochemical, and pharmacologic data was collected. Measurements and results: Eighty-nine patients were included in the initial dataset, of which 45 had a TTE whilst acutely unwell, and 22/45 survived to hospital discharge. There were no significant differences in the measured TTE parameters between survivors and non-survivors. Of the survivors with a follow-up TTE, the majority of the changes seen in the initial study had resolved. Despite this, there was still an appreciable symptom burden in the domains of fatigue, breathlessness, ability to independently do activities of daily living, and overall reduced perception of health. Conclusions: In a cohort of critically unwell COVID-19 patients, there were no significant echocardiographic differences between survivors and non-survivors. For the survivors, whilst the majority of acute cardiac changes associated with COVID-19 infection resolved over time, however, there remained a significant symptom burden, including breathlessness and fatigability, suggesting a non-cardiac aetiology of these symptoms.
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People are being thermally screened in hospitals and in such facilities, all the data collected must be stored and displayed. The person responsible for keeping track of people's body temperatures must put in more time and effort. This approach is a tedious task, especially during times of dealing with the pandemic diseases like Covid-19. Hence, in this paper, an automated contactless continuous temperature monitoring system is designed to eliminate this time-consuming process. If a person's temperature is too high, that is, higher than the usual temperature range, the system records it and monitors it continuously via a mobile application. In this paper, we present the development of an Automated contactless continuous body temperature monitoring system using a Raspberry Pi camera and mobile application. © 2023 IEEE.
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The National Public Health Institutes (NPHI), members of the Latin American Regional Network of the International Association of National Institutes of Public Health, met face to face at the headquarters of the National Institute of Public Health of Mexico, in the City of Cuernavaca, from October 5 to 7, 2022, with the participation of the directors or their representatives of the NPHIs of Bolivia, Brazil, Colombia, Costa Rica, El Salvador, Mexico, Peru and Suriname and representatives of the South American Sub regional Program (SAM), and the Central American Sub regional Program (CAM) of the Pan American Health Organization (PAHO), the Organization of the Amazon Cooperation Treaty (OTCA), the Andean Health Agency/Hipolito Unanue Agreement (ORAS/CONHU) and the Central American Integration System (SICA/COMISCA), analyzing the role of the NPHI in combating health inequities;in confronting the global climate and environmental crisis;combating hunger, food insecurity and malnutrition;successes and challenges in responding to the Covid-19 pandemic;strengthening and continuous improvement of integrated disease surveillance and preparedness for health emergencies;as well as the various existing regional and sub-regional health cooperation programs, noticing that: 1. In the current scenario, the dominating development model is a generator of growing social inequalities, which determine serious inequities in the health conditions of our peoples. 2. Likewise, the current model of production and consumption, adopted at the global level, has increased hunger, food insecurity and malnutrition that possibly constitute nowadays the main health problem in our region. 3. The environmental crisis, which is also a product of the current global development model, has a significant impact on human and animal health and the interaction between both. 4. The NPHIs have played a role of major relevance in confronting the Covid-19 pandemic, not fully applying, however, their full potential for research and for proposing national plans for the disease control. 5. Health surveillance systems, in most of our countries, suffer from significant fragmentation between various sectors and within the health sector itself, implying, in any case, reactive actions that do not allow for anticipating the emergence of new pathologies or health emergencies. 6. The various regional and sub regional cooperation agencies and programs offer an enormous capacity for synergies and mutual cooperation.
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Objectives: Death from SARS-CoV-2 pneumonia resulted from progressive respiratory failure in most patients. Whenever accessible, venovenous extracorporeal membrane oxygenation (VVECMO) was implemented to rescue patients with refractory hypoxemia. Reported mortality in this population reached values from 20 to 50 percent, but the direct causes of death were not so widely acknowledged. The aim of our study was to characterize mortality in patients treated with VVECMO support. Method(s): Retrospective review of a prospectively collected database in an ECMO referral centre. All patients with diagnosis of SARS-CoV-2 infection treated with VVECMO support were included. Survivors and nonsurvivors were compared using t-student and chi2 methods. A Cox regression analysis was performed to identify predictors of mortality at admission. Result(s): Ninety-three patients were included (29% female). Median age was 54+/-12 years, mean SOFA was 5.7+/-2.9 and SAPS II was 35.6+/-13.6. Hospital mortality was 24.7%. Main causes of death were septic shock in 39.1% (9 patients), irreversible lung fibrosis 30.4% (7 patients) and catastrophic hemorrhage in 4.3% (4 patients). End-of-life care measures (withdrawal or withholding) were adopted in 65.2% of non-survivals. Patients who died were older (55 vs 48 years, p<0.05), had longer disease course (19 vs 15.3 days, p<0.05), longer invasive mechanical ventilation course before cannulation (8.5 vs 5 days, p<0.05), lower static lung compliance (25.5 vs 31.8 mL/cmH2O, p<0.05) and were ventilated with lower PEEP (8 vs 10 cmH2O, p<0.05) on cannulation. On a Cox-regression model, only prone ventilation before cannulation (HR 9,7;CI 95% 1,4- 68,6;p<0.05) and SAPS II (HR 1.04;CI 95% 1,001- 1,083;p<0.05) predicted mortality. Conclusion(s): Mortality in patients with severe SARSCoV-2 pneumonia treated with VVECMO was exceedingly low in our study, when compared with other series. Only one-third died from progressive lung disease, which suggests that protocol improvement can further reduce mortality.