Critically ill patients with COVID-19 pneumonia suffered both high thrombotic and bleeding risk. The effect of SARS-CoV-2 on coagulation and fibrinolysis is not well known. We conducted a retrospective study of critically ill patients admitted to an intensive care unit (ICU) a cause of severe COVID-19 pneumonia and we evaluated coagulation function using rotational thromboelastometry (ROTEM) on day of admission (T0) and 5 (T5) and 10 (T10) days after admission to ICU. Coagulation standard parameters were also evaluated. Forty patients were enrolled into the study. The ICU and the hospital mortality were 10% and 12.5%, respectively. On ICU admission, prothrombin time was slightly reduced and it increased significantly at T10 (T0 = 65.1 ± 9.8 vs T10 = 85.7 ± 1.5, p = 0.002), while activated partial thromboplastin time and fibrinogen values were higher at T0 than T10 (32.2 ± 2.9 vs 27.2 ± 2.1, p = 0.017 and 895.1 ± 110 vs 332.5 ± 50, p = 0.002, respectively); moreover, whole blood thromboelastometry profiles were consistent with hypercoagulability characterized by an acceleration of the propagation phase of blood clot formation [i.e., CFT below the lower limit in INTEM 16/40 patients (40%) and EXTEM 20/40 patients (50%)] and significant higher clot strength [MCF above the upper limit in INTEM 20/40 patients (50%), in EXTEM 28/40 patients (70%) and in FIBTEM 29/40 patients (72.5%)]; however, this hypercoagulable state persists in the first five days, but it decreases ten day after, without returning to normal values. No sign of secondary hyperfibrinolysis or sepsis induced coagulopathy (SIC) were found during the study period. In six patients (15%) a deep vein thrombosis and in 2 patients (5%) a thromboembolic event, were found; 12 patients (30%) had a catheter-related thrombosis. ROTEM analysis confirms that patients with severe COVID-19 pneumonia had a hypercoagulation state that persisted over time.

This study validates both SAPS II and APACHE II scores in an ICU population comprised mainly of surgical patients. The type of ICU admission and the location in the hospital before ICU admission influence the predictive ability of the models.

Background: Health-related quality of life (HRQoL) impairment is often reported among COVID-19 ICU survivors, and little is known about their long-term outcomes. We evaluated the HRQoL trajectories between 3 months and 1 year after ICU discharge, the factors influencing these trajectories and the presence of clusters of HRQoL profiles in a population of COVID-19 patients who underwent invasive mechanical ventilation (IMV). Moreover, pathophysiological correlations of residual dyspnea were tested. Methods: We followed up 178 survivors from 16 Italian ICUs up to one year after ICU discharge. HRQoL was investigated through the 15D instrument. Available pulmonary function tests (PFTs) and chest CT scans at 1 year were also collected. A linear mixed-effects model was adopted to identify factors associated with different HRQoL trajectories and a two-step cluster analysis was performed to identify HRQoL clusters. Results: We found that HRQoL increased during the study period, especially for the significant increase of the physical dimensions, while the mental dimensions and dyspnea remained substantially unchanged. Four main 15D profiles were identified: full recovery (47.2%), bad recovery (5.1%) and two partial recovery clusters with mostly physical (9.6%) or mental (38.2%) dimensions affected. Gender, duration of IMV and number of comorbidities significantly influenced HRQoL trajectories. Persistent dyspnea was reported in 58.4% of patients, and weakly, but significantly, correlated with both DLCO and length of IMV. Conclusions: HRQoL impairment is frequent 1 year after ICU discharge, and the lowest recovery is found in the mental dimensions. Persistent dyspnea is often reported and weakly correlated with PFTs alterations. Trial registration: NCT04411459. 15D score 3 months -mean ± SD 0.857 ± 0.133 0.927 ± 0.061 0.800 ± 0.135 0.853 ± 0.114 0.637 ± 0.204 < 0.001 15D score 1 year -mean ± SD 0.880 ± 0.115 0.964 ± 0.033 0.820 ± 0.068 0.866 ± 0.088 0.572 ± 0.112 < 0.001 Mobility -mean ± SD 0.876 ± 0.207 0.963 ± 0.104 0.828 ± 0.191 0.901 ± 0.166 0.375 ± 0.298 < 0.001 Vision -mean ± SD 0.953 ± 0.119 0.992 ± 0.040 0.942 ± 0.108 0.949 ± 0.094 0.681 ± 0.280 < 0.001 Hearing -mean ± SD 0.968 ± 0.098 1.000 ± 0.000 1.000 ± 0.000 0.745 ± 0.135 0.857 ± 0.192 < 0.001 Breathing -mean ± SD 0.746 ± 0.238 0.879 ± 0.154 0.620 ± 0.227 0.753 ± 0.223 0.438 ± 0.238 < 0.001 Sleeping -mean ± SD 0.838 ± 0.238 0.940 ± 0.135 0.716 ± 0.274 0.929 ± 0.142 0.632 ± 0.312 < 0.001 Eating -mean ± SD 0.979 ± 0.102 1.000 ± 0.000 1 .000 ± 0.000 1.000 ± 0.000 0.587 ± 0.221 < 0.001 Speech -mean ± SD 0.980 ± 0.090 0.996 ± 0.032 0.996 ± 0.036 0.948 ± 0.117 0.777 ± 0.276 < 0.001 Excretion -mean ± SD 0.974 ± 0.110 1.000 ± 0.000 1.000 ± 0.000 0.872 ± 0.191 0.720 ± 0.292

Background A large proportion of patients with coronavirus disease 2019 (COVID-19) develop severe respiratory failure requiring admission to the intensive care unit (ICU) and about 80% of them need mechanical ventilation (MV). These patients show great complexity due to multiple organ involvement and a dynamic evolution over time; moreover, few information is available about the risk factors that may contribute to increase the time course of mechanical ventilation. The primary objective of this study is to investigate the risk factors associated with the inability to liberate COVID-19 patients from mechanical ventilation. Due to the complex evolution of the disease, we analyzed both pulmonary variables and occurrence of non-pulmonary complications during mechanical ventilation. The secondary objective of this study was the evaluation of risk factors for ICU mortality. Methods This multicenter prospective observational study enrolled 391 patients from fifteen COVID-19 dedicated Italian ICUs which underwent invasive mechanical ventilation for COVID-19 pneumonia. Clinical and laboratory data, ventilator parameters, occurrence of organ dysfunction, and outcome were recorded. The primary outcome measure was 28 days ventilator-free days and the liberation from MV at 28 days was studied by performing a competing risks regression model on data, according to the method of Fine and Gray; the event death was considered as a competing risk. Results Liberation from mechanical ventilation was achieved in 53.2% of the patients (208/391). Competing risks analysis, considering death as a competing event, demonstrated a decreased sub-hazard ratio for liberation from mechanical ventilation (MV) with increasing age and SOFA score at ICU admission, low values of PaO2/FiO2 ratio during the first 5 days of MV, respiratory system compliance (CRS) lower than 40 mL/cmH2O during the first 5 days of MV, need for renal replacement therapy (RRT), late-onset ventilator-associated pneumonia (VAP), and cardiovascular complications. ICU mortality during the observation period was 36.1% (141/391). Similar results were obtained by the multivariate logistic regression analysis using mortality as a dependent variable. Conclusions Age, SOFA score at ICU admission, CRS, PaO2/FiO2, renal and cardiovascular complications, and late-onset VAP were all independent risk factors for prolonged mechanical ventilation in patients with COVID-19. Trial registration NCT04411459

BackgroundDespite significant medical advances and improvement in overall mortality rate following burn injury, the treatment of patients with extensive burns remains a major challenge for intensivists. We present a study aimed to evaluate the short- and the long-term outcomes of severe burn patients (total body surface area, TBSA > 40%) treated in a polyvalent intensive care unit (ICU) and to assess the quality of life of survivors, one year after the injury using the EuroQol-5D (EQ-5D) questionnaire.MethodsA prospective-observational study was performed in an ICU of a University-affiliated hospital. Logistic regression analysis was used to identify the factors predicting in-hospital mortality. The EQ-5D questionnaire was used to asses participant's long term self-reported general health.ResultsDuring a period of five years, 50 patients participated in the study. Their mean age was 53.8 ± 19.8; they had a mean of %TBSA burned of 54.5 ± 18.1. 44% and 10% of patients died in the ICU and in the ward after ICU discharge, respectively. Baux index, SAPS II and SOFA on admission to the ICU, infectious and respiratory complications, and time of first burn wound excision were found to have a significant predictive value for hospital mortality. The level of health of all survivors was worse than before the injury. Problems in the five dimensions studied were present as follows: mobility (moderate 68.5%; extreme 0%), self-care (moderate 21%; extreme 36.9%), usual activities (moderate 68.5%; extreme 21%), pain/discomfort (moderate 68.5%; extreme 10.5%), anxiety/depression (moderate 36.9%; extreme 42.1%).ConclusionsIn severe burn patients, Baux index, severity of illness on admission to the ICU, complications, and time of first burn wound excision were the major contributors to hospital mortality. Quality of life was influenced by consequences of injury both in psychological and physical health.