1 Hospices Civils de Lyon, Hospital center Lyon-Sud, ICU, F-69310, Pierre-Bénite, France 2 Biostatistics-Bioinformatics Department, Public Health Unit, Hospices Civils de Lyon, Lyon, France 3 CIRI, International Center for Research in Infectiology (Emerging Pathogens Laboratory Team), Inserm, U1111, Claude Bernard Lyon 1 University, CNRS, UMR5308, Lyon, France 4 University Claude Bernard, Lyon1, Lyon, France 5 Lyon university, VetAgro Sup, Lyon veterinary campus, UPSP 2016.A101, Pulmonary and Cardiovascular Agression in Sepsis, F-69280, Marcy l’Étoile, France
Objective: The main objective of this article is to evaluate the prevalence of burnout syndrome (BOS) among the Intensive Care Unit (ICU) healthcare workers. Methods: The COVID-impact study is a study conducted in 6 French intensive care units. Five units admitting COVID patient and one that doesn’t admit COVID patients. The survey was conducted between October 20th and November 20th, 2020, during the second wave in France. A total of 208 professionals responded (90% response rate). The Maslach Burnout Inventory scale, the Hospital Anxiety and Depression Scale and the Impact of Event Revisited Scale were used to study the psychological impact of the COVID-19 Every intensive care unit worker. Results: The cohort includes 208 professionals, 52.4% are caregivers. Almost 20% of the respondents suffered from severe BOS. The professionals who are particularly affected by BOS are women, engaged people, nurses or reinforcement, not coming willingly to the intensive care unit and professionals with psychological disorders since COVID-19, those who are afraid of being infected, and people with anxiety, depression or post-traumatic stress disorder. Independent risk factors isolated were being engaged and being a reinforcement. Being a volunteer to come to work in ICU is protective. 19.7% of the team suffered from severe BOS during the COVID-19 pandemic in our ICU. The independent risk factors for BOS are: being engaged (OR = 3.61 (95% CI, 1.44; 9.09), don’t working in ICU when it’s not COVID-19 pandemic (reinforcement) (OR = 37.71 (95% CI, 3.13; 454.35), being a volunteer (OR = 0.10 (95% CI, 0.02; 0.46). Conclusion: Our study demonstrates the value of assessing burnout in health care teams. Prevention could be achieved by training personnel to form a health reserve in the event of a pandemic.
1 Dubai Hospital, Dubai, UAE 2 Ronin Institute for Independent Scholarship, Montclair, New Jersey, USA
The RECOVERY study documented lower 28-day mortality with the use of dexamethasone in hospitalized patients on invasive mechanical ventilation or oxygen with COVID-19 Pneumonia. We aimed to examine the practice patterns of steroids use, and their impact on mortality and length of stay in ICU. We retrospectively examined records of all patients with confirmed Covid 19 pneumonia admitted to the ICU of Dubai hospital from January 1st, 2020 – June 30th, 2020. We assigned patients to four groups (No steroids, low dose, medium dose, and high dose steroids). The primary clinical variable of interest was doses of steroids. Secondary outcomes were 28-day mortality and length of stay in ICU”. We found variability in doses of steroid treatment. The most frequently used dose was the high dose. Patients who survived were on significantly higher doses of steroids and had significantly longer stays in ICU. The prescription of steroids in Covid-19 ARDS is variable. The dose of steroids impacts mortality rate and length of stay in ICU, although patients treated with high dose steroids seem to stay more days in ICU.
Imed Group, Research Department, Sao Paulo, Brazil; Adult Intensive Care Unit, São Camilo Hospital, Brazil
Introduction: The use of invasive mechanical ventilation (IMV) in COVID-19 represents in an incremental burden to healthcare systems. Aim of the study: We aimed to characterize patients hospitalized for COVID-19 who received IMV and identify risk factors for mortality in this population. Material and Methods: A retrospective cohort study including consecutive adult patients admitted to a private network in Brazil who received IMV from March to October, 2020. A bidirectional stepwise logistic regression analysis was used to determine the risk factors for mortality. Results: We included 215 patients, of which 96 died and 119 were discharged from ICU. The mean age was 62.7 ± 15.4 years and the most important comorbidities were hypertension (62.8%), obesity (50.7%) and diabetes (40%). Non-survivors had lower body mass index (BMI) (28.3 [25.5; 31.6] vs. 31.2 [28.3; 35], p<0.001, and a shorter duration from symptom onset to intubation (8.5 [6.0; 12] days vs. 10 [8.0; 12.5] days, p = 0.005). Multivariable regression analysis showed that the risk factors for mortality were age (OR: 1.07, 95% CI: 1.03 to 1.1, p < 0.001), creatinine level at the intubation date (OR: 3.28, 95% CI: 1.47 to 7.33, p = 0.004), BMI (OR: 0.91, 95% CI: 0.84 to 0.99, p = 0.033), lowest PF ratio within 48 hours post-intubation (OR: 0.988, 95% CI: 0.979 to 0.997, p = 0.011), barotrauma (OR: 5.18, 95% CI: 1.14 to 23.65, p = 0.034) and duration from symptom onset to intubation (OR: 0.76, 95% CI: 0.76 to 0.95, p = 0.006). Conclusion: In our retrospective cohort we identified the main risk factors for mortality in COVID-19 patients receiving IMV: age, creatinine at the day of intubation, BMI, lowest PF ratio 48-hours post-intubation, barotrauma and duration from symptom onset to intubation.
1 Medeniyet University Göztepe Training and Research Hospital, Istanbul, Turkey 2 Istanbul Medipol University, Istanbul, Turkey
Aim: The aim of this study was to evaluate whether systemic immune-inflammation index (SII) could predict mortality in patients with novel coronavirus 2019 (COVID-19) disease. Methods: This two-center, retrospective study included a total of 191 patients with confirmed diagnosis of COVID-19 via nucleic acid test (NAT). The SII was calculated based on the complete blood parameters (neutrophil × platelet/lymphocyte) during hospitalization. The relationship between the SII and other inflammatory markers and mortality was investigated. Results: The mortality rate was 18.3%. The mean age was 54.32±17.95 years. The most common symptoms were fever (70.7%) and dry cough (61.3%), while 8 patients (4.2%) were asymptomatic. The most common comorbidities were hypertension (37.7%), diabetes (23.0%), chronic renal failure (14.7%), and heart failure (7.9%) which all significantly increased the mortality rate (p<0.001). There was a highly positive correlation between the SII and polymorphonuclear leukocyte (PNL), neutrophil-to-lymphocyte ratio (NLR), and platelet-to-lymphocyte ratio (PLR) (r=0.754, p<0.001; r=0.812, p<0.001; r=0.841, p<0.001, respectively), while a moderate, positive correlation was found between the SII and C-reactive protein (CRP) (r=0.439, p<0.001). There was a significant correlation between the SII and mortality (U=1,357, p<0.001). The cut-off value of SII was 618.8 (area under the curve=0.751, p<0.001) with 80.0% sensitivity and 61.5% specificity. A cut-off value of >618.8 was associated with a 4.68-fold higher mortality. Conclusion: Similar to NLR and PLR, the SII is a proinflammatory marker of systemic inflammation and can be effectively used in independent predicting COVID-19 mortality .
1 Attikon General University Hospital, Athens, Greece 2 University of West Attika, Athens, Greece 3 Second Health Centre, Peristeri, Greece 4 Department of Medicine, National and Kapodistrian University of Athens, Greece
Introduction: Healthcare professionals, due to the nature of their work, have always experienced occupational stress, depression and low quality of life, which have been aggravated during the COVID-19 pandemic. Aim: A large-scale cross-sectional descriptive correlational study aimed to investigate the impact of the COVID-19 pandemic on Greek healthcare professionals’ psychological status and quality of life. Material and Methods: The study was conducted at “Attikon” General University Hospital and the 2nd Health Region in Athens, Greece. An assessment of anxiety and depression was carried out using the Zung’s Self-Rating Anxiety and Depression Scale (SAS/SDS). To assess the participants’ Quality of Life (QoL) the Short Form Survey-36 (SF-36) was used. Results: 147 healthcare professionals were enrolled in the study. 70.7% experienced normal stress levels, 23.8% mild, 4.8% moderate and 0.7% severe. Mild depression was experienced by 34.7%, moderate by 10.2% and severe by 1.4%, with a 53.7% showing no depressive symptoms. Women experienced higher levels of anxiety and depression (p=0.001 & 0.001 respectively), and were 5.4 times more at risk to develop anxiety [Odds Ratio (OR) 5.357, 95% Confidence Interval (CI), 1.95-14.72: p=0.001] and 3.4 depression (OR, 3.365, 95% CI, 1.59- 7.12: p=0.002). Nurses and other professionals experienced higher stress and depression levels (p=0.004 & 0.040 respectively) than doctors. Participants reporting more exhaustion exhibited higher anxiety and depression levels (p=0.001). Compared to the pre-COVID-19 era, women (p=0.001), other health professionals (p=0.001) and those experiencing more physical burnout during COVID-19 (p=0.005) reported worse physical health. Anxiety and depression were negatively correlated with most sub scales of SF-36 except social functioning and bodily pain (p=0.001). Conclusions: Healthcare professionals’ QoL has been affected by the COVID-19 pandemic and they experience higher levels of anxiety and depression. There is a need to develop strategies to address the negative psychological impact of this pandemic on healthcare professionals.
Introduction: Hyperbaricoxygen therapy (HBOT) is breathing100% oxygen in pressurised chamber. This therapy ensures quick oxygen delivery to the bloodstream. In patients with severe COVID-19 pneumonia, progressive hypoxemia occurs. Oxygen therapy hasa significant role in its management. Aim of the study: The objective was to study the efficacy of hyperbaric oxygen therapy (HBOT) as adjuvant therapy for reducing the requirement of additional oxygen supplementationin patients with moderate to severe ARDS diagnosed with COVID-19. Methods: A single-centre prospective pilot cohort study was conducted ata tertiary care hospital from December 2020 to February 2021 over two months. Fifty patients with COVID-19 needingoxygen, satisfying the selection criteria, were included. Hyperbaricoxygen therapy wasgiven to all patients. The patient received30-45 minutes of hyperbaric oxygen with 15 minutes of pressurizing and depressurizing at 2.0 atmosphere absolute (ATA) with or without airbrakesas per the critical care team. Oxygen requirement, PaO2, andcondition at discharge were considered as primary outcome variables. Results: Among the 50 participants studied, the mean age was 53.64±13.26 years. Out of 50 participants, 49(98.00%) had PaO2≤80 mmHg, and one (2.00%) had >80 PaO2. All the participants 50(100%) had PaO2 as 90 mmHg after three sittings. Conclusion: This studyshows promising results in using HBOT to overcome respiratory failure in COVID-19. HBOT reduced the need for oxygen by improving the oxygen saturation levels.
Sandra Gomez-Paz1, Eric Lam2, Luis Gonzalez-Mosquera2, Diana Cardenas-Maldonado2, Joshua Fogel3, Ellen Gabrielle Kagan2, Sofia Rubinstein1
1 Division of Nephrology and Hypertension, Department of Internal Medicine, Nassau University Medical Center, East Meadow, New York, USA 2 Department of Internal Medicine, Nassau University Medical Center, East Meadow, New York, USA 3 Department of Business Management, Brooklyn College, Brooklyn, New York, USA
Background: Renal involvement in COVID-19 leads to severe disease and higher mortality. We study renal parameters in COVID-19 patients and their association with mortality and length of stay in hospital. Methods: A retrospective study (n=340) of confirmed COVID-19 patients with renal involvement determined by the presence of acute kidney injury. Multivariate analyses of logistic regression for mortality and linear regression for length of stay (LOS) adjusted for relevant demographic, comorbidity, disease severity, and treatment covariates. Results: Mortality was 54.4% and mean LOS was 12.9 days. For mortality, creatinine peak (OR:35.27, 95% CI:2.81, 442.06, p<0.01) and persistent renal involvement at discharge (OR:4.47, 95% CI:1.99,10.06, p<0.001) were each significantly associated with increased odds for mortality. Increased blood urea nitrogen peak (OR:0.98, 95%CI:0.97,0.996, p<0.05) was significantly associated with decreased odds for mortality. For LOS, increased blood urea nitrogen peak (B:0.001, SE:<0.001, p<0.01), renal replacement therapy (B:0.19, SE:0.06, p<0.01), and increased days to acute kidney injury (B:0.19, SE:0.05, p<0.001) were each significantly associated with increased length of stay. Conclusion: Our study emphasizes the importance in identifying renal involvement parameters in COVID-19 patients. These parameters are associated with LOS and mortality, and may assist clinicians to prognosticate COVID-19 patients with renal involvement.
The Aga Khan University Hospital, Karachi, Pakistan
Background: Covid-19 related acute respiratory distress syndrome (ARDS) requires intensive care, which is highly expensive in lower-income countries. Outcomes of COVID-19 patients requiring invasive mechanical ventilation in Pakistan have not been widely reported. Identifying factors forecasting outcomes will help decide optimal care levels and prioritise resources. Methods: A single-centre, retrospective study on COVID-19 patients requiring invasive mechanical ventilation was conducted from 1st March to 31st May 2020. Demographic variables, physical signs, laboratory values, ventilator parameters, complications, length of stay, and mortality were recorded. Data were analysed in SPSS ver.23. Results: Among 71 study patients, 87.3% (62) were males, and 12.7% (9) were females with a mean (SD) age of 55.5(13.4) years. Diabetes mellitus and hypertension were the most common comorbidities in 54.9% (39) patients. Median(IQR) SOFA score on ICU admission and at 48 hours was 7(5-9) and 6(4-10), and median (IQR) APACHE-II score was 15 (11-24) and 13(9-23), respectively. Overall, in-hospital mortality was 57.7%; 25% (1/4), 55.6% (20/36) and 64.5% (20/31) in mild, moderate, and severe ARDS, respectively. On univariate analysis; PEEP at admission, APACHE II and SOFA score at admission and 48 hours; Acute kidney injury; D-Dimer>1.5 mg/L and higher LDH levels at 48 hours were significantly associated with mortality. Only APACHE II scores at admission and D-Dimer levels> 1.5 mg/L were independent predictors of mortality on multivariable regression (p-value 0.012 & 0.037 respectively). Admission APACHE II scores, Area under the ROC curve for mortality was 0.80 (95%CI 0.69-0.90); sensitivity was 77.5% and specificity 70% (cut-off ≥13.5). Conclusion: There was a high mortality rate in severe ARDS. The APACHE II score can be utilised in mortality prediction in COVID-19 ARDS patients. However, larger-scale studies in Pakistan are required to assess predictors of mortality.
Derrick Anthony Cleland1, Clarence H. H. Tsai2, Joslyn Vo1, Dafne Moretta1
1 Loma Linda University Medical Center Loma Linda, CA, USA 2 Loma Linda University School of Medicine, Loma Linda, CA, USA
Introduction: Silicone (polydimethylsiloxane) injections are used for cosmetic augmentation. Their use is associated with life-threatening complications such as acute pneumonitis, alveolar hemorrhage, and acute respiratory distress among others [1,2]. We report a case of a Hispanic woman who developed severe respiratory distress syndrome after gluteal silicone injections. Case Presentation: A 44-year-old Hispanic female presented to the Emergency Department complaining of progressive dyspnea on exertion for two weeks. Chest imaging revealed patchy bibasilar airspace opacities of peripheral distribution. Labs were significant for leukocytosis, elevated PT, D-dimer, lactate dehydrogenase, and fibrinogen, concerning for COVID-19, however SARS-CoV-2 testing was negative multiple times. The patient later became encephalopathic, hypoxemic, and eventually required intubation. Further history uncovered that the patient had received illicit gluteal silicone injections a few days prior to her onset of symptoms. The patient was diagnosed with silicone embolism syndrome (SES) and initiated on high dose intravenous methylprednisolone . Case Discussion: Patients from lower socioeconomic backgrounds utilize illicit services to receive silicone injections at minimal costs. This leads to dangerous outcomes. The serology and imaging findings observed in our case have similarities to the typical presentation of COVID-19 pneumonia making the initial diagnosis difficult. This case serves as a cautionary tale of the importance of thorough history taking in patients with concern for COVID-19.
Samuel Windham, Kellen Hirsch, Ryan Peterson, David Douin, Lakshmi Chauhan, Lauren Heery, Connor Fling, Nemanja Vukovic, Fernando Holguin, Shanta Zimmer, Kristine Erlandson
University of Colorado Anschutz Medical Campus, Denver, CO, USA
Introduction: The predictive potential of demographics, clinical characteristics, and inflammatory markers at admission to determine future intubation needs of hospitalised CoVID-19 patients is unknown. The study aimed to determine the predictive potential of elevated serum inflammatory markers in determining the need for intubation in CoVID-19 Patients. Methods: In a retrospective cohort study of hospitalised SARS-CoV2 positive patients, single and multivariable regression analyses were used to determine covariate effects on intubation odds, and a minimax concave penalty regularised logistic regression was used to build a predictive model. A second prospective independent cohort tested the model. Results: Systemic inflammatory markers obtained at admission were higher in patients that required subsequent intubation, and adjusted odds of intubation increased for every standard deviation above the mean for c-reactive protein (CRP) OR:2.8 (95% CI 1.8-4.5, p<0.001) and lactate dehydrogenase OR:2.1 (95% CI 1.3-3.3, p=0.002). A predictive model incorporating C-reactive protein, lactate dehydrogenase, and diabetes status at the time of admission predicted intubation status with an area under the curve (AUC) of 0.78 with corresponding sensitivity of 86%, specificity of 63%. This predictive model achieved an AUC of 0.83, 91% sensitivity, and 41% specificity on the validation cohort. Conclusion: In patients hospitalised with CoVID-19, elevated serum inflammatory markers measured within the first twenty-four hours of admission are associated with an increased need for intubation. Additionally, a model of C-reactive protein, lactate dehydrogenase, and the presence of diabetes may play a predictive role in determining the future need for intubation.
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