COVID-19 associated infections in the ICU setting: A retrospective analysis in a tertiary-care hospital.

INTRODUCTION: Our work describes the frequency of superinfections in COVID-19 ICU patients and identifies risk factors for its appearance. Second, we evaluated ICU length of stay, in-hospital mortality and analyzed a subgroup of multidrug-resistant microorganisms (MDROs) infections. METHODS: Retrospective study conducted between March and June 2020. Superinfections were defined as appeared ≥48h. Bacterial and fungal infections were included, and sources were ventilator-associated lower respiratory tract infection (VA-LRTI), primary bloodstream infection (BSI), secondary BSI, and urinary tract infection (UTI). We performed a univariate analysis and a multivariate analysis of the risk factors. RESULTS: Two-hundred thirteen patients were included. We documented 174 episodes in 95 (44.6%) patients: 78 VA-LRTI, 66 primary BSI, 9 secondary BSI and 21 UTI. MDROs caused 29.3% of the episodes. The median time from admission to the first episode was 18 days and was longer in MDROs than in non-MDROs (28 vs. 16 days, p<0.01). In multivariate analysis use of corticosteroids (OR 4.9, 95% CI 1.4-16.9, p 0.01), tocilizumab (OR 2.4, 95% CI 1.1-5.9, p 0.03) and broad-spectrum antibiotics within first 7 days of admission (OR 2.5, 95% CI 1.2-5.1, p<0.01) were associated with superinfections. Patients with superinfections presented respect to controls prolonged ICU stay (35 vs. 12 days, p<0.01) but not higher in-hospital mortality (45.3% vs. 39.7%, p 0.13). CONCLUSIONS: Superinfections in ICU patients are frequent in late course of admission. Corticosteroids, tocilizumab, and previous broad-spectrum antibiotics are identified as risk factors for its development.

COVID-19 associated infections in the ICU setting: A retrospective analysis in a tertiary-care hospital / Sobreinfecciones en pacientes ingresados en UCI con COVID-19: análisis retrospectivo en un hospital de tercer nivel

Introduction: Our work describes the frequency of superinfections in COVID-19 ICU patients and identifies risk factors for its appearance. Second, we evaluated ICU length of stay, in-hospital mortality and analyzed a subgroup of multidrug-resistant microorganisms (MDROs) infections. Methods: Retrospective study conducted between March and June 2020. Superinfections were defined as appeared ≥48h. Bacterial and fungal infections were included, and sources were ventilator-associated lower respiratory tract infection (VA-LRTI), primary bloodstream infection (BSI), secondary BSI, and urinary tract infection (UTI). We performed a univariate analysis and a multivariate analysis of the risk factors. Results: Two-hundred thirteen patients were included. We documented 174 episodes in 95 (44.6%) patients: 78 VA-LRTI, 66 primary BSI, 9 secondary BSI and 21 UTI. MDROs caused 29.3% of the episodes. The median time from admission to the first episode was 18 days and was longer in MDROs than in non-MDROs (28 vs. 16 days, p<0.01). In multivariate analysis use of corticosteroids (OR 4.9, 95% CI 1.4–16.9, p 0.01), tocilizumab (OR 2.4, 95% CI 1.1–5.9, p 0.03) and broad-spectrum antibiotics within first 7 days of admission (OR 2.5, 95% CI 1.2–5.1, p<0.01) were associated with superinfections. Patients with superinfections presented respect to controls prolonged ICU stay (35 vs. 12 days, p<0.01) but not higher in-hospital mortality (45.3% vs. 39.7%, p 0.13). Conclusions: Superinfections in ICU patients are frequent in late course of admission. Corticosteroids, tocilizumab, and previous broad-spectrum antibiotics are identified as risk factors for its development.(AU)

Introducción: Nuestro trabajo describe la frecuencia de sobreinfecciones en pacientes con COVID-19 en UCI e identifica factores de riesgo asociados con su aparición. Secundariamente, evaluamos la estancia en UCI, mortalidad intrahospitalaria y analizamos un subgrupo de infecciones causadas por microorganismos multirresistentes (MDR). Métodos: Estudio realizado entre marzo y junio de 2020. Definimos como sobreinfección a aquellas que aparecieron ≥48h del ingreso. Incluimos las causadas por bacterias y hongos y evaluamos la infección respiratoria asociada a la ventilación mecánica (IRAVM), bacteriemia primaria, bacteriemia secundaria e infección del tracto urinario. Se realizó un análisis multivariante de los factores de riesgo. Resultados: Incluimos 213 pacientes, documentándose 174 episodios de sobreinfección en 95 casos (44,6%): IRAVM 78 episodios, bacteriemia primaria 66, bacteriemia secundaria 9 e ITU 21. Los MDR causaron el 29,3% de los episodios. La mediana de tiempo hasta el primer episodio fue de 18 días, siendo mayor en las causadas por MDR vs. no MDR (28 vs. 16, p<0,01). El análisis multivariante identificó la administración de corticoides (OR 4,9 IC 95% 1,4-16,9), tocilizumab (OR 2,4 IC 95% 1,1-5,9) y antibióticos de amplio espectro (OR 2,5 IC 95% 1,2-5,1) como factores de riesgo asociados. Los pacientes con sobreinfección presentaron una estancia en UCI más prolongada (35 vs. 12 días, p <0,01) pero no mayor mortalidad intrahospitalaria (45,3% vs. 39,7%, p 0,13). Conclusiones: Las sobreinfecciones en los pacientes con COVID-19 aparecen tardíamente. La administración de corticoides, tocilizumab y antibióticos de amplio espectro se asocia con su aparición.(AU)

COVID-19 associated infections in the ICU setting: A retrospective analysis in a tertiary-care hospital.

Introduction: Our work describes the frequency of superinfections in COVID-19 ICU patients and identifies risk factors for its appearance. Second, we evaluated ICU length of stay, in-hospital mortality and analyzed a subgroup of multidrug-resistant microorganisms (MDROs) infections. Methods: Retrospective study conducted between March and June 2020. Superinfections were defined as appeared ≥48 h. Bacterial and fungal infections were included, and sources were ventilator-associated lower respiratory tract infection (VA-LRTI), primary bloodstream infection (BSI), secondary BSI, and urinary tract infection (UTI). We performed a univariate analysis and a multivariate analysis of the risk factors. Results: Two-hundred thirteen patients were included. We documented 174 episodes in 95 (44.6%) patients: 78 VA-LRTI, 66 primary BSI, 9 secondary BSI and 21 UTI. MDROs caused 29.3% of the episodes. The median time from admission to the first episode was 18 days and was longer in MDROs than in non-MDROs (28 vs. 16 days, p < 0.01). In multivariate analysis use of corticosteroids (OR 4.9, 95% CI 1.4-16.9, p 0.01), tocilizumab (OR 2.4, 95% CI 1.1-5.9, p 0.03) and broad-spectrum antibiotics within first 7 days of admission (OR 2.5, 95% CI 1.2-5.1, p < 0.01) were associated with superinfections. Patients with superinfections presented respect to controls prolonged ICU stay (35 vs. 12 days, p < 0.01) but not higher in-hospital mortality (45.3% vs. 39.7%, p 0.13). Conclusions: Superinfections in ICU patients are frequent in late course of admission. Corticosteroids, tocilizumab, and previous broad-spectrum antibiotics are identified as risk factors for its development.

Introducción: Nuestro trabajo describe la frecuencia de sobreinfecciones en pacientes con COVID-19 en UCI e identifica factores de riesgo asociados con su aparición. Secundariamente, evaluamos la estancia en UCI, mortalidad intrahospitalaria y analizamos un subgrupo de infecciones causadas por microorganismos multirresistentes (MDR). Métodos: Estudio realizado entre marzo y junio de 2020. Definimos como sobreinfección a aquellas que aparecieron ≥48 h del ingreso. Incluimos las causadas por bacterias y hongos y evaluamos la infección respiratoria asociada a la ventilación mecánica (IRAVM), bacteriemia primaria, bacteriemia secundaria e infección del tracto urinario. Se realizó un análisis multivariante de los factores de riesgo. Resultados: Incluimos 213 pacientes, documentándose 174 episodios de sobreinfección en 95 casos (44,6%): IRAVM 78 episodios, bacteriemia primaria 66, bacteriemia secundaria 9 e ITU 21. Los MDR causaron el 29,3% de los episodios. La mediana de tiempo hasta el primer episodio fue de 18 días, siendo mayor en las causadas por MDR vs. no MDR (28 vs. 16, p < 0,01). El análisis multivariante identificó la administración de corticoides (OR 4,9 IC 95% 1,4-16,9), tocilizumab (OR 2,4 IC 95% 1,1-5,9) y antibióticos de amplio espectro (OR 2,5 IC 95% 1,2-5,1) como factores de riesgo asociados. Los pacientes con sobreinfección presentaron una estancia en UCI más prolongada (35 vs. 12 días, p < 0,01) pero no mayor mortalidad intrahospitalaria (45,3% vs. 39,7%, p 0,13). Conclusiones: Las sobreinfecciones en los pacientes con COVID-19 aparecen tardíamente. La administración de corticoides, tocilizumab y antibióticos de amplio espectro se asocia con su aparición.

Low anti-SARS-CoV-2 S antibody levels predict increased mortality and dissemination of viral components in the blood of critical COVID-19 patients.

BACKGROUND: Anti-SARS-CoV-2 S antibodies prevent viral replication. Critically ill COVID-19 patients show viral material in plasma, associated with a dysregulated host response. If these antibodies influence survival and viral dissemination in ICU-COVID patients is unknown. PATIENTS/METHODS: We studied the impact of anti-SARS-CoV-2 S antibodies levels on survival, viral RNA-load in plasma, and N-antigenaemia in 92 COVID-19 patients over ICU admission. RESULTS: Frequency of N-antigenaemia was >2.5-fold higher in absence of antibodies. Antibodies correlated inversely with viral RNA-load in plasma, representing a protective factor against mortality (adjusted HR [CI 95%], p): (S IgM [AUC ≥ 60]: 0.44 [0.22; 0.88], 0.020); (S IgG [AUC ≥ 237]: 0.31 [0.16; 0.61], <0.001). Viral RNA-load in plasma and N-antigenaemia predicted increased mortality: (N1-viral load [≥2.156 copies/ml]: 2.25 [1.16; 4.36], 0.016); (N-antigenaemia: 2.45 [1.27; 4.69], 0.007). CONCLUSIONS: Low anti-SARS-CoV-2 S antibody levels predict mortality in critical COVID-19. Our findings support that these antibodies contribute to prevent systemic dissemination of SARS-CoV-2.

Possible unrecognised liver injury is associated with mortality in critically ill COVID-19 patients.

BACKGROUND: Coronavirus disease (COVID-19) with acute respiratory distress syndrome is a life-threatening condition. A previous diagnosis of chronic liver disease is associated with poorer outcomes. Nevertheless, the impact of silent liver injury has not been investigated. We aimed to explore the association of pre-admission liver fibrosis indices with the prognosis of critically ill COVID-19 patients. METHODS: The work presented was an observational study in 214 patients with COVID-19 consecutively admitted to the intensive care unit (ICU). Pre-admission liver fibrosis indices were calculated. In-hospital mortality and predictive factors were explored with Kaplan-Meier and Cox regression analysis. RESULTS: The mean age was 59.58 (13.79) years; 16 patients (7.48%) had previously recognised chronic liver disease. Up to 78.84% of patients according to Forns, and 45.76% according to FIB-4, had more than minimal fibrosis. Fibrosis indices were higher in non-survivors [Forns: 6.04 (1.42) versus 4.99 (1.58), p < 0.001; FIB-4: 1.77 (1.17) versus 1.41 (0.91), p = 0.020)], but no differences were found in liver biochemistry parameters. Patients with any degree of fibrosis either by Forns or FIB-4 had a higher mortality, which increased according to the severity of fibrosis (p < 0.05 for both indexes). Both Forns [HR 1.41 (1.11-1.81); p = 0.006] and FIB-4 [HR 1.31 (0.99-1.72); p = 0.051] were independently related to survival after adjusting for the Charlson comorbidity index, APACHE II, and ferritin. CONCLUSION: Unrecognised liver fibrosis, assessed by serological tests prior to admission, is independently associated with a higher risk of death in patients with severe COVID-19 admitted to the ICU.

Viral RNA load in plasma is associated with critical illness and a dysregulated host response in COVID-19.

BACKGROUND: COVID-19 can course with respiratory and extrapulmonary disease. SARS-CoV-2 RNA is detected in respiratory samples but also in blood, stool and urine. Severe COVID-19 is characterized by a dysregulated host response to this virus. We studied whether viral RNAemia or viral RNA load in plasma is associated with severe COVID-19 and also to this dysregulated response. METHODS: A total of 250 patients with COVID-19 were recruited (50 outpatients, 100 hospitalized ward patients and 100 critically ill). Viral RNA detection and quantification in plasma was performed using droplet digital PCR, targeting the N1 and N2 regions of the SARS-CoV-2 nucleoprotein gene. The association between SARS-CoV-2 RNAemia and viral RNA load in plasma with severity was evaluated by multivariate logistic regression. Correlations between viral RNA load and biomarkers evidencing dysregulation of host response were evaluated by calculating the Spearman correlation coefficients. RESULTS: The frequency of viral RNAemia was higher in the critically ill patients (78%) compared to ward patients (27%) and outpatients (2%) (p < 0.001). Critical patients had higher viral RNA loads in plasma than non-critically ill patients, with non-survivors showing the highest values. When outpatients and ward patients were compared, viral RNAemia did not show significant associations in the multivariate analysis. In contrast, when ward patients were compared with ICU patients, both viral RNAemia and viral RNA load in plasma were associated with critical illness (OR [CI 95%], p): RNAemia (3.92 [1.183-12.968], 0.025), viral RNA load (N1) (1.962 [1.244-3.096], 0.004); viral RNA load (N2) (2.229 [1.382-3.595], 0.001). Viral RNA load in plasma correlated with higher levels of chemokines (CXCL10, CCL2), biomarkers indicative of a systemic inflammatory response (IL-6, CRP, ferritin), activation of NK cells (IL-15), endothelial dysfunction (VCAM-1, angiopoietin-2, ICAM-1), coagulation activation (D-Dimer and INR), tissue damage (LDH, GPT), neutrophil response (neutrophils counts, myeloperoxidase, GM-CSF) and immunodepression (PD-L1, IL-10, lymphopenia and monocytopenia). CONCLUSIONS: SARS-CoV-2 RNAemia and viral RNA load in plasma are associated with critical illness in COVID-19. Viral RNA load in plasma correlates with key signatures of dysregulated host responses, suggesting a major role of uncontrolled viral replication in the pathogenesis of this disease.

The protective association of endogenous immunoglobulins against sepsis mortality is restricted to patients with moderate organ failure.

BACKGROUND: Pre-evaluation of endogenous immunoglobulin levels is a potential strategy to improve the results of intravenous immunoglobulins in sepsis, but more work has to be done to identify those patients who could benefit the most from this treatment. The objective of this study was to evaluate the impact of endogenous immunoglobulins on the mortality risk in sepsis depending on disease severity. METHODS: This was a retrospective observational study including 278 patients admitted to the ICU with sepsis fulfilling the SEPSIS-3 criteria, coming from the Spanish GRECIA and ABISS-EDUSEPSIS cohorts. Patients were distributed into two groups depending on their Sequential Organ Failure Assessment score at ICU admission (SOFA < 8, n = 122 and SOFA ≥ 8, n = 156), and the association between immunoglobulin levels at ICU admission with mortality was studied in each group by Kaplan-Meier and multivariate logistic regression analysis. RESULTS: ICU/hospital mortality in the SOFA < 8 group was 14.8/23.0%, compared to 30.1/35.3% in the SOFA ≥ 8 group. In the group with SOFA < 8, the simultaneous presence of total IgG < 407 mg/dl, IgM < 43 mg/dl and IgA < 219 mg/dl was associated with a reduction in the survival mean time of 6.6 days in the first 28 days and was a robust predictor of mortality risk either during the acute or during the post-acute phase of the disease (OR for ICU mortality: 13.79; OR for hospital mortality: 7.98). This predictive ability remained in the absence of prior immunosuppression (OR for ICU mortality: 17.53; OR for hospital mortality: 5.63). Total IgG < 407 mg/dl or IgG1 < 332 mg/dl was also an independent predictor of ICU mortality in this group. In contrast, in the SOFA ≥ 8 group, we found no immunoglobulin thresholds associated with neither ICU nor hospital mortality. CONCLUSIONS: Endogenous immunoglobulin levels may have a different impact on the mortality risk of sepsis patients based on their severity. In patients with moderate organ failure, the simultaneous presence of low levels of IgG, IgA and IgM was a consistent predictor of both acute and post-acute mortalities.

Clinical factors associated with inappropriate prophylaxis of venous thromboembolic disease in critically ill patients. A single day cross-sectional study.

PURPOSE: A poor implementation of VTE prophylactic measures recommended for critically ill patients has been observed in several epidemiological studies. The clinical factors associated with this have not been clearly established. The objective of our study was to identify which factors could be related to the inappropriate use of VTE prophylaxis. METHODS: Analytic epidemiological study based on different aspects of VTE prophylaxis performed on Spanish ICU patients. A multiple logistic regression analysis was conducted to identify the risk factors associated with inappropriate prophylaxis, according to the American College of Chest Physicians 2012 guidelines. RESULTS: We enrolled 777 patients. On admission, 62% presented medical, 30% surgical and 8% major trauma pathology. Of all patients, 41% were receiving an inappropriate prophylaxis, including 19% which did not receive any prophylaxis. The presence of a contraindication for pharmacological prophylaxis (OR 3.91, 95% CI 2.50-6.10) and non-medical pathology at ICU admission (OR 11.09; 95% CI 7.63-16.12) were associated with inappropriate prophylaxis. In contrast, mechanical ventilation (OR 0.70, 95% CI 0.45-0.98), bed rest>48h (OR 0.61, 95% CI 0.49-0.98), the use of a protocol for VTE prophylaxis (OR 0.66, 95% CI 0.45-0.98) and a VTE risk scoring system (OR 0.49, 95% CI 0.24-0.98) were associated with adequate prophylaxis. CONCLUSIONS: Our study highlighted a poor compliance with the VTE prophylaxis recommendations proposed for critical patients. The implementation of specific protocols for prophylaxis that include a correct evaluation according to VTE and haemorrhage risk, would allow for optimisation of mechanical and combined prophylaxis, improving adherence to the clinical practice guidelines.

PROF-ETEV study: prophylaxis of venous thromboembolic disease in critical care units in Spain.

PURPOSE: Venous thromboembolic disease (VTE) in critically ill patients has a high incidence despite prophylactic measures. This fact could be related to an inappropriate use of these measures due to the absence of specific VTE risk scores. To assess the current situation in Spain, we have performed a cross-sectional study, analyzing if the prophylactic measures were appropriate to the patients' VTE risk. METHODS: Through an electronic questionnaire, we carried out a single day point prevalence study on the VTE prophylactic measures used in several critical care units in Spain. We performed a risk stratification for VTE in three groups: low, moderate-high, and very high risk. The American College of Chest Physicians guidelines were used to determine if the patients were receiving the recommended prophylaxis. RESULTS: A total of 777 patients were included; 62% medical, 30% surgical, and 7% major trauma patients. The median number of the risk factors for VTE was four. According to the proposed VTE risk score, only 2% of the patients were at low risk, whereas 83% were at very high risk. Sixty-three percent of patients received pharmacological prophylaxis, 12% mechanical prophylaxis, 6% combined prophylaxis, and 19% did not receive any prophylactic measure. According to criteria suggested by the guidelines, 23% of medical, 71% of surgical, and 70% of major trauma patients received an inappropriate prophylaxis. CONCLUSIONS: Most critically ill patients are at high or very high risk of VTE, but there is a low rate of appropriate prophylaxis. The efforts to improve the identification of patients at risk, and the implementation of appropriate prevention protocols should be enhanced.