A Microcost Analysis of the Use of Personal Protective Equipment During and Before the COVID-19 Pandemic From a Hospital Perspective.

OBJECTIVES: To calculate the direct cost of personal protective equipment (PPE) used during the COVID-19 pandemic from the perspective of a Brazilian tertiary public hospital. METHODS: We evaluated the cost of PPE during the pandemic to the cost before (2021 vs 2019, respectively) using the microcosting method. Cost estimates were converted into US dollars in 2023, taking inflation into account and using purchasing power parity conversion rates. Our expenses included gloves, disposable gowns, head coverings, masks, N95 respirators, and eye protection. The number of PPE used was determined by the hospital's usual protocol, the total number of hospitalized patients, and the number of days of hospitalization. We used the following variables for uncertainty analysis: PPE adherence, an interquartile range of median length of hospitalization, and variance in the cost of each PPE. RESULTS: In 2021, 26 618 individuals were hospitalized compared with 31 948 in 2019. The median length of stay was 6 and 4 days, respectively. The total and per-patient direct cost of PPE were projected to be 2 939 935.47 US dollar (USD) and 110.45 USD, respectively, during the pandemic, and 1 570 124.08 USD and 49.15 USD, respectively, before the pandemic. The individual cost of PPE was the most influential cost variable. CONCLUSIONS: According to the hospital's perspective, the total estimated direct cost of PPE during the COVID-19 pandemic was nearly twice as high as the previous year. This difference might be explained by the 3-fold increase in PPE in the treatment of patients with COVID-19 compared with patients without isolation precautions.

Clustering COVID-19 ARDS patients through the first days of ICU admission. An analysis of the CIBERESUCICOVID Cohort.

BACKGROUND: Acute respiratory distress syndrome (ARDS) can be classified into sub-phenotypes according to different inflammatory/clinical status. Prognostic enrichment was achieved by grouping patients into hypoinflammatory or hyperinflammatory sub-phenotypes, even though the time of analysis may change the classification according to treatment response or disease evolution. We aimed to evaluate when patients can be clustered in more than 1 group, and how they may change the clustering of patients using data of baseline or day 3, and the prognosis of patients according to their evolution by changing or not the cluster. METHODS: Multicenter, observational prospective, and retrospective study of patients admitted due to ARDS related to COVID-19 infection in Spain. Patients were grouped according to a clustering mixed-type data algorithm (k-prototypes) using continuous and categorical readily available variables at baseline and day 3. RESULTS: Of 6205 patients, 3743 (60%) were included in the study. According to silhouette analysis, patients were grouped in two clusters. At baseline, 1402 (37%) patients were included in cluster 1 and 2341(63%) in cluster 2. On day 3, 1557(42%) patients were included in cluster 1 and 2086 (57%) in cluster 2. The patients included in cluster 2 were older and more frequently hypertensive and had a higher prevalence of shock, organ dysfunction, inflammatory biomarkers, and worst respiratory indexes at both time points. The 90-day mortality was higher in cluster 2 at both clustering processes (43.8% [n = 1025] versus 27.3% [n = 383] at baseline, and 49% [n = 1023] versus 20.6% [n = 321] on day 3). Four hundred and fifty-eight (33%) patients clustered in the first group were clustered in the second group on day 3. In contrast, 638 (27%) patients clustered in the second group were clustered in the first group on day 3. CONCLUSIONS: During the first days, patients can be clustered into two groups and the process of clustering patients may change as they continue to evolve. This means that despite a vast majority of patients remaining in the same cluster, a minority reaching 33% of patients analyzed may be re-categorized into different clusters based on their progress. Such changes can significantly impact their prognosis.

Key Factors Associated With Pulmonary Sequelae in the Follow-Up of Critically Ill COVID-19 Patients.

INTRODUCTION: Critical COVID-19 survivors have a high risk of respiratory sequelae. Therefore, we aimed to identify key factors associated with altered lung function and CT scan abnormalities at a follow-up visit in a cohort of critical COVID-19 survivors. METHODS: Multicenter ambispective observational study in 52 Spanish intensive care units. Up to 1327 PCR-confirmed critical COVID-19 patients had sociodemographic, anthropometric, comorbidity and lifestyle characteristics collected at hospital admission; clinical and biological parameters throughout hospital stay; and, lung function and CT scan at a follow-up visit. RESULTS: The median [p25-p75] time from discharge to follow-up was 3.57 [2.77-4.92] months. Median age was 60 [53-67] years, 27.8% women. The mean (SD) percentage of predicted diffusing lung capacity for carbon monoxide (DLCO) at follow-up was 72.02 (18.33)% predicted, with 66% of patients having DLCO<80% and 24% having DLCO<60%. CT scan showed persistent pulmonary infiltrates, fibrotic lesions, and emphysema in 33%, 25% and 6% of patients, respectively. Key variables associated with DLCO<60% were chronic lung disease (CLD) (OR: 1.86 (1.18-2.92)), duration of invasive mechanical ventilation (IMV) (OR: 1.56 (1.37-1.77)), age (OR [per-1-SD] (95%CI): 1.39 (1.18-1.63)), urea (OR: 1.16 (0.97-1.39)) and estimated glomerular filtration rate at ICU admission (OR: 0.88 (0.73-1.06)). Bacterial pneumonia (1.62 (1.11-2.35)) and duration of ventilation (NIMV (1.23 (1.06-1.42), IMV (1.21 (1.01-1.45)) and prone positioning (1.17 (0.98-1.39)) were associated with fibrotic lesions. CONCLUSION: Age and CLD, reflecting patients' baseline vulnerability, and markers of COVID-19 severity, such as duration of IMV and renal failure, were key factors associated with impaired DLCO and CT abnormalities.

Effects of intubation timing in patients with COVID-19 throughout the four waves of the pandemic: a matched analysis.

BACKGROUND: The primary aim of our study was to investigate the association between intubation timing and hospital mortality in critically ill patients with coronavirus disease 2019 (COVID-19)-associated respiratory failure. We also analysed both the impact of such timing throughout the first four pandemic waves and the influence of prior noninvasive respiratory support on outcomes. METHODS: This is a secondary analysis of a multicentre, observational and prospective cohort study that included all consecutive patients undergoing invasive mechanical ventilation due to COVID-19 from across 58 Spanish intensive care units (ICUs) participating in the CIBERESUCICOVID project. The study period was between 29 February 2020 and 31 August 2021. Early intubation was defined as that occurring within the first 24 h of ICU admission. Propensity score matching was used to achieve a balance across baseline variables between the early intubation cohort and those patients who were intubated after the first 24 h of ICU admission. Differences in outcomes between early and delayed intubation were also assessed. We performed sensitivity analyses to consider a different time-point (48 h from ICU admission) for early and delayed intubation. RESULTS: Of the 2725 patients who received invasive mechanical ventilation, a total of 614 matched patients were included in the analysis (307 for each group). In the unmatched population, there were no differences in mortality between the early and delayed groups. After propensity score matching, patients with delayed intubation presented higher hospital mortality (27.3% versus 37.1%; p=0.01), ICU mortality (25.7% versus 36.1%; p=0.007) and 90-day mortality (30.9% versus 40.2%; p=0.02) compared with the early intubation group. Very similar findings were observed when we used a 48-h time-point for early or delayed intubation. The use of early intubation decreased after the first wave of the pandemic (72%, 49%, 46% and 45% in the first, second, third and fourth waves, respectively; first versus second, third and fourth waves p<0.001). In both the main and sensitivity analyses, hospital mortality was lower in patients receiving high-flow nasal cannula (HFNC) (n=294) who were intubated earlier. The subgroup of patients undergoing noninvasive ventilation (n=214) before intubation showed higher mortality when delayed intubation was set as that occurring after 48 h from ICU admission, but not when after 24 h. CONCLUSIONS: In patients with COVID-19 requiring invasive mechanical ventilation, delayed intubation was associated with a higher risk of hospital mortality. The use of early intubation significantly decreased throughout the course of the pandemic. Benefits of such an approach occurred more notably in patients who had received HFNC.

Prognostic implications of comorbidity patterns in critically ill COVID-19 patients: A multicenter, observational study.

Background: The clinical heterogeneity of COVID-19 suggests the existence of different phenotypes with prognostic implications. We aimed to analyze comorbidity patterns in critically ill COVID-19 patients and assess their impact on in-hospital outcomes, response to treatment and sequelae. Methods: Multicenter prospective/retrospective observational study in intensive care units of 55 Spanish hospitals. 5866 PCR-confirmed COVID-19 patients had comorbidities recorded at hospital admission; clinical and biological parameters, in-hospital procedures and complications throughout the stay; and, clinical complications, persistent symptoms and sequelae at 3 and 6 months. Findings: Latent class analysis identified 3 phenotypes using training and test subcohorts: low-morbidity (n=3385; 58%), younger and with few comorbidities; high-morbidity (n=2074; 35%), with high comorbid burden; and renal-morbidity (n=407; 7%), with chronic kidney disease (CKD), high comorbidity burden and the worst oxygenation profile. Renal-morbidity and high-morbidity had more in-hospital complications and higher mortality risk than low-morbidity (adjusted HR (95% CI): 1.57 (1.34-1.84) and 1.16 (1.05-1.28), respectively). Corticosteroids, but not tocilizumab, were associated with lower mortality risk (HR (95% CI) 0.76 (0.63-0.93)), especially in renal-morbidity and high-morbidity. Renal-morbidity and high-morbidity showed the worst lung function throughout the follow-up, with renal-morbidity having the highest risk of infectious complications (6%), emergency visits (29%) or hospital readmissions (14%) at 6 months (p<0.01). Interpretation: Comorbidity-based phenotypes were identified and associated with different expression of in-hospital complications, mortality, treatment response, and sequelae, with CKD playing a major role. This could help clinicians in day-to-day decision making including the management of post-discharge COVID-19 sequelae. Funding: ISCIII, UNESPA, CIBERES, FEDER, ESF.

Serum Caspase-1 as an Independent Prognostic Factor in Traumatic Brain Injured Patients.

BACKGROUND: The objectives of this study were to assess the association between serum caspase 1 levels and known clinical and radiological prognostic factors and determine whether caspase 1was a more powerful predictor of outcome after traumatic brain injury (TBI) than clinical indices alone, to determine the association between the serum levels of caspase 1 and the 6-month outcome, and to evaluate if there is any association between caspase 1 with clinical and radiological variables. METHODS: This prospective and observational study was conducted in a university hospital and included patients with TBI who required hospital admission. Serum samples were collected at hospital admission and 24 h after TBI. Caspase 1 levels were determined by enzyme-linked immunosorbent assay. Receiver operating characteristic curves were obtained to test the potential of caspase 1 to predict mortality (Glasgow Outcome Scale Extended score of 1) and unfavorable outcome (Glasgow Outcome Scale Extended scores of 1-4). Multivariate logistic regression was used to assess the effect of serum caspase 1 levels, adjusted by known clinical and radiological prognostic indices, on the outcome. RESULTS: One hundred thirty-two patients and 33 healthy controls were included. We obtained 6-month outcome in 118 patients. On admission, the mean serum levels of caspase 1 were higher in patients with TBI compared with controls (157.9 vs. 108.5 pg/mL; p < 0.05) but not at 24 h after TBI. Serum caspase 1 levels on admission were higher in patients with unfavorable outcomes (189.5 vs. 144.1 pg/mL; p = 0.009). Similarly, serum caspase 1 levels on admission were higher in patients who died vs. patients who survived (213.6 vs. 146.8 pg/mL; p = 0.03). A logistic regression model showed that the serum caspase 1 level on admission was an independent predictor of 6-month unfavorable outcomes (odds ratio 1.05; 95% confidence interval 1-1.11; p = 0.05). Caspase 1 levels were higher in patients with severe TBI compared with those with moderate TBI, those with mild TBI, and healthy controls (p < 0.001). We did not find any correlation between caspase 1 and the radiological variables studied. CONCLUSIONS: In this cohort of patients with TBI, we show that serum caspase 1 protein levels on admission are an independent prognostic factor after TBI. Serum caspase 1 levels on admission are higher in patients who will present unfavorable outcomes 6 months after TBI. Caspase 1 levels on admission are associated with the injury severity determined by the Glasgow Coma Scale.

The evolution of the ventilatory ratio is a prognostic factor in mechanically ventilated COVID-19 ARDS patients.

BACKGROUND: Mortality due to COVID-19 is high, especially in patients requiring mechanical ventilation. The purpose of the study is to investigate associations between mortality and variables measured during the first three days of mechanical ventilation in patients with COVID-19 intubated at ICU admission. METHODS: Multicenter, observational, cohort study includes consecutive patients with COVID-19 admitted to 44 Spanish ICUs between February 25 and July 31, 2020, who required intubation at ICU admission and mechanical ventilation for more than three days. We collected demographic and clinical data prior to admission; information about clinical evolution at days 1 and 3 of mechanical ventilation; and outcomes. RESULTS: Of the 2,095 patients with COVID-19 admitted to the ICU, 1,118 (53.3%) were intubated at day 1 and remained under mechanical ventilation at day three. From days 1 to 3, PaO2/FiO2 increased from 115.6 [80.0-171.2] to 180.0 [135.4-227.9] mmHg and the ventilatory ratio from 1.73 [1.33-2.25] to 1.96 [1.61-2.40]. In-hospital mortality was 38.7%. A higher increase between ICU admission and day 3 in the ventilatory ratio (OR 1.04 [CI 1.01-1.07], p = 0.030) and creatinine levels (OR 1.05 [CI 1.01-1.09], p = 0.005) and a lower increase in platelet counts (OR 0.96 [CI 0.93-1.00], p = 0.037) were independently associated with a higher risk of death. No association between mortality and the PaO2/FiO2 variation was observed (OR 0.99 [CI 0.95 to 1.02], p = 0.47). CONCLUSIONS: Higher ventilatory ratio and its increase at day 3 is associated with mortality in patients with COVID-19 receiving mechanical ventilation at ICU admission. No association was found in the PaO2/FiO2 variation.

ICU-Acquired Pneumonia Is Associated with Poor Health Post-COVID-19 Syndrome.

BACKGROUND: Some patients previously presenting with COVID-19 have been reported to develop persistent COVID-19 symptoms. While this information has been adequately recognised and extensively published with respect to non-critically ill patients, less is known about the incidence and factors associated with the characteristics of persistent COVID-19. On the other hand, these patients very often have intensive care unit-acquired pneumonia (ICUAP). A second infectious hit after COVID increases the length of ICU stay and mechanical ventilation and could have an influence on poor health post-COVID 19 syndrome in ICU-discharged patients. METHODS: This prospective, multicentre, and observational study was carrid out across 40 selected ICUs in Spain. Consecutive patients with COVID-19 requiring ICU admission were recruited and evaluated three months after hospital discharge. RESULTS: A total of 1255 ICU patients were scheduled to be followed up at 3 months; however, the final cohort comprised 991 (78.9%) patients. A total of 315 patients developed ICUAP (97% of them had ventilated ICUAP). Patients requiring invasive mechanical ventilation had more persistent post-COVID-19 symptoms than those who did not require mechanical ventilation. Female sex, duration of ICU stay, development of ICUAP, and ARDS were independent factors for persistent poor health post-COVID-19. CONCLUSIONS: Persistent post-COVID-19 symptoms occurred in more than two-thirds of patients. Female sex, duration of ICU stay, development of ICUAP, and ARDS all comprised independent factors for persistent poor health post-COVID-19. Prevention of ICUAP could have beneficial effects in poor health post-COVID-19.

Successful weaning from continuous renal replacement therapy. Associated risk factors.

PURPOSE: To identify risk factors of successful continuous renal replacement therapy (CRRT) weaning and to evaluate the effect of furosemide in the recovery of urine output after CRRT stop. MATERIALS AND METHODS: Retrospective, observational study of critical patients treated with CRRT. Weaning tests (WT) were classified in two groups: successful (urine output was recovered and CRRT was not required again) and failed (CRRT was required again). A multiple logistic regression model was used to identify risk factors of successful CRRT WT. The prediction ability was assessed with the area under the receiver operating characteristic curves (AUC-ROC). RESULTS: Eighty-six patients underwent 101 CRRT WT. The multivariate model identified that the risk factors of successful CRRT weaning were sex and 6h-urine output after CRRT stop. The AUC-ROC was 0.81 (0.72-0.90) for 6h-urine output before and 0.91 (0.84-0.96) for 6h-urine output after CRRT stop. The AUC-ROC for 6h-urine output after WT to predict successful CRRT weaning were 0.94 (0.88-1.0) in patients who received furosemide and 0.85 (0.72-0.99) in patients who did not. CONCLUSIONS: Urine output after CRRT stop was the main risk factor of successful CRRT weaning. Administration of furosemide increased the strength of this association.