Apples and oranges: international comparisons of COVID-19 observational studies in ICUs

Changes in Therapy and Outcome of Patients Requiring Veno-Venous Extracorporeal Membrane Oxygenation for COVID-19

BACKGROUND

 Coronavirus disease 2019 (COVID-19)-related acute respiratory distress syndrome requiring veno-venous extracorporeal membrane oxygenation (vv-ECMO) is related with poor outcome, especially in Germany. We aimed to analyze whether changes in vv-ECMO therapy during the pandemic were observed and lead to changes in the outcome of vv-ECMO patients.

METHODS

 All patients undergoing vv-ECMO support for COVID-19 between 2020 and 2021 in a single center (n = 75) were retrospectively analyzed. Weaning from vv-ECMO and in-hospital mortality were defined as primary and peri-interventional adverse events as secondary endpoints of the study.

RESULTS

 During the study period, four infective waves were observed in Germany. Patients were assigned correspondingly to four study groups: ECMO implantation between March 2020 and September 2020: first wave (n = 11); October 2020 to February 2021: second wave (n = 23); March 2021 to July 2021: third wave (n = 25); and August 2021 to December 2021: fourth wave (n = 20). Preferred cannulation technique changed within the second wave from femoro-femoral to femoro-jugular access (p < 0.01) and awake ECMO was implemented. Mean ECMO run time increased by more than 300% from 10.9 ± 9.6 (first wave) to 44.9 ± 47.0 days (fourth wave). Weaning of patients was achieved in less than 20% in the first wave but increased to approximately 40% since the second one. Furthermore, we observed a continuous numerically decrease of in-hospital mortality from 81.8 to 57.9% (p = 0.61).

CONCLUSION

 Preference for femoro-jugular cannulation and awake ECMO combined with preexisting expertise and patient selection are considered to be associated with increased duration of ECMO support and numerically improved ECMO weaning and in-hospital mortality.

Non-COVID-19 intensive care admissions during the pandemic: a multinational registry-based study

BACKGROUND

The COVID-19 pandemic resulted in a large number of critical care admissions. While national reports have described the outcomes of patients with COVID-19, there is limited international data of the pandemic impact on non-COVID-19 patients requiring intensive care treatment.

METHODS

We conducted an international, retrospective cohort study using 2019 and 2020 data from 11 national clinical quality registries covering 15 countries. Non-COVID-19 admissions in 2020 were compared with all admissions in 2019, prepandemic. The primary outcome was intensive care unit (ICU) mortality. Secondary outcomes included in-hospital mortality and standardised mortality ratio (SMR). Analyses were stratified by the country income level(s) of each registry.

FINDINGS

Among 1 642 632 non-COVID-19 admissions, there was an increase in ICU mortality between 2019 (9.3%) and 2020 (10.4%), OR=1.15 (95% CI 1.14 to 1.17, p<0.001). Increased mortality was observed in middle-income countries (OR 1.25 95% CI 1.23 to 1.26), while mortality decreased in high-income countries (OR=0.96 95% CI 0.94 to 0.98). Hospital mortality and SMR trends for each registry were consistent with the observed ICU mortality findings. The burden of COVID-19 was highly variable, with COVID-19 ICU patient-days per bed ranging from 0.4 to 81.6 between registries. This alone did not explain the observed non-COVID-19 mortality changes.

INTERPRETATION

Increased ICU mortality occurred among non-COVID-19 patients during the pandemic, driven by increased mortality in middle-income countries, while mortality decreased in high-income countries. The causes for this inequity are likely multi-factorial, but healthcare spending, policy pandemic responses, and ICU strain may play significant roles.

Factors related to COVID-19 mortality among three Swedish intensive care units-A retrospective study

BACKGROUND

Mortality due to acute hypoxemic respiratory failure (AHRF) in patients with coronavirus disease-19 (COVID-19) differs across units, regions, and countries. These variations may be attributed to several factors, including comorbidities, acute physiological derangement, disease severity, treatment, ethnicity, healthcare system strain, and socioeconomic status. This study aimed to explore the features of patient characteristics, clinical management, and staffing that may be related to mortality among three intensive care units (ICUs) within the same hospital system in South Sweden.

METHODS

We retrospectively analyzed ICU patients with COVID-19 and AHRF in Region Jönköping County, Sweden. The primary outcome was the 90-day mortality rate. We used univariate and multivariable logistic regression analyses to investigate the relationship of predictors with outcomes.

RESULTS

Between March 15, 2020, and May 31, 2021, 331 patients with AHRF and COVID-19 were admitted to the three ICUs. There were differences in disease severity, treatments, process-related factors, and socioeconomic factors between the units. These factors were related to 90-day mortality. After multivariable adjustment, age, severity of acute respiratory distress syndrome, and the number of nurses per ICU-bed independently predicted 90-day mortality.

CONCLUSION

Age, disease severity, and nurse staffing, but not treatment or socioeconomic status, were independently associated with 90-day mortality among critically ill patients with AHRF due to COVID-19. We also identified variations in care related processes, which may be a modifiable risk factor and warrants future investigation.

[Risk factors for outcome and mortality in hospitalized geriatric patients with SARS-CoV-2 infection : Data from a hospital of maximum care during in the period of the second corona wave 2020/2021 in Germany]

BACKGROUND

From autumn 2020 until spring 2021 Germany experienced the second wave of SARS-CoV‑2 infections. As in the previous wave, the older population in nursing homes was hard hit by this infection because of the lack of available vaccines. Due to the multimorbidity in this susceptible group the mortality was high.

METHODS

Retrospectively collected patient data of geriatric patients treated from 1 October 2020 to 31 March 2021 due to proven SARS-CoV‑2 infection were evaluated concerning the duration of symptoms, hospital stay, and laboratory results. The results are presented descriptively and significance tests were performed with t‑test and log-rank test to reveal some risk factors for a worse outcome.

RESULTS

A total of 168 patients aged from 65 to 97 years were included, with a mean mortality rate of 28% and was highest in the age group over 90 years old. Most patients died within the first 10 days of hospitalization. Intensive care treatment prolonged the hospital stay by 6 days, but the average survival time became equal at the end. Risk factors for worse outcome and the need of intensive care treatment were neutrophilia, lymphopenia, high levels of ferritin and high D‑dimer levels on the day of admission. Age, short duration of symptoms and pre-existing dementia, administration of neuroleptic drugs and antidepressants increased the risk of death.

Characteristics and risk factors for mortality in critically ill patients with COVID-19 receiving invasive mechanical ventilation: the experience of a private network in Sao Paulo, 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.

Glycaemic variability is associated with all-cause mortality in COVID-19 patients with ARDS, a retrospective subcohort study

There is high mortality among intensive care unit (ICU) patients with acute respiratory distress syndrome (ARDS) caused by coronavirus disease (COVID-19). Important factors for COVID-19 mortality are diabetes status and elevated fasting plasma glucose (FPG). However, the effect of glycaemic variability on survival has not been explored in patients with COVID-19 and ARDS. This single-centre cohort study compared several metrics of glycaemic variability for goodness-of-fit in patients requiring mechanical ventilation due to COVID-19 ARDS in the ICU at University Hospital Aachen, Germany. 106 patients had moderate to severe ARDS (P/F ratio median [IQR]: 112 [87–148] mmHg). Continuous HRs showed a proportional increase in mortality risk with daily glycaemic variability (DGV). Multivariable unadjusted and adjusted Cox-models showed a statistically significant difference in mortality for DGV (HR: 1.02, (P) < 0.001, LR(P) < 0.001; HR: 1.016, (P) = 0.001, LR(P) < 0.001, respectively). Kaplan–Meier estimators yielded a shorter median survival (25 vs. 87 days) and a higher likelihood of death (75% vs. 31%) in patients with DGV ≥ 25.5 mg/dl (P < 0.0001). High glycaemic variability during ICU admission is associated with significant increase in all-cause mortality for patients admitted with COVID-19 ARDS to the ICU. This effect persisted even after adjustment for clinically predetermined confounders, including diabetes, median procalcitonin and FPG.

ISARIC-4C Mortality Score overestimates risk of death due to COVID-19 in Australian ICU patients: a validation cohort study

Objective: To assess the performance of the UK International Severe Acute Respiratory and Emerging Infections Consortium (ISARIC) Coronavirus Clinical Characterisation Consortium (4C) Mortality Score for predicting mortality in Australian patients with coronavirus disease 2019 (COVID-19) requiring intensive care unit (ICU) admission. Design: Multicentre, prospective, observational cohort study. Setting: 78 Australian ICUs participating in the SPRINT-SARI (Short Period Incidence Study of Severe Acute Respiratory Infection) Australia study of COVID-19. Participants: Patients aged 16 years or older admitted to participating Australian ICUs with polymerase chain reaction (PCR)-confirmed COVID-19 between 27 February and 10 October 2020. Main outcome measures: ISARIC-4C Mortality Score, calculated at the time of ICU admission. The primary outcome was observed versus predicted in-hospital mortality (by 4C Mortality and APACHE II). Results: 461 patients admitted to a participating ICU were included. 149 (32%) had complete data to calculate a 4C Mortality Score without imputation. Overall, 61/461 patients (13.2%) died, 16.9% lower than the comparable ISARIC-4C cohort in the United Kingdom. In patients with complete data, the median (interquartile range [IQR]) 4C Mortality Score was 10.0 (IQR, 8.0-13.0) and the observed mortality was 16.1% (24/149) versus 22.9% median predicted risk of death. The 4C Mortality Score discriminatory performance measured by the area under the receiver operating characteristic curve (AUROC) was 0.79 (95% CI, 0.68-0.90), similar to its performance in the original ISARIC-4C UK cohort (0.77) and not superior to APACHE II (AUROC, 0.81; 95% CI, 0.75-0.87). Conclusions: When calculated at the time of ICU admission, the 4C Mortality Score consistently overestimated the risk of death for Australian ICU patients with COVID-19. The 4C Mortality Score may need to be individually recalibrated for use outside the UK and in different hospital settings.

Changes in characteristics and outcomes of critically ill COVID-19 patients in Tyrol (Austria) over 1 year

Background

Widely varying mortality rates of critically ill Coronavirus disease 19 (COVID-19) patients in the world highlighted the need for local surveillance of baseline characteristics, treatment strategies and outcome. We compared two periods of the COVID-19 pandemic to identify important differences in characteristics and therapeutic measures and their influence on the outcome of critically ill COVID-19 patients.

Methods

This multicenter prospective register study included all patients with a SARS-CoV‑2 infection confirmed by polymerase chain reaction, who were treated in 1 of the 12 intensive care units (ICU) from 8 hospitals in Tyrol, Austria during 2 defined periods (1 February 2020 until 17 July: first wave and 18 July 2020 until 22 February 2021: second wave) of the COVID-19 pandemic.

Results

Overall, 508 patients were analyzed. The majority (n = 401) presented during the second wave, where the median age was significantly higher (64 years, IQR 54–74 years vs. 72 years, IQR 62–78 years, p < 0.001). Invasive mechanical ventilation was less frequent during the second period (50.5% vs 67.3%, p = 0.003), as was the use of vasopressors (50.3% vs. 69.2%, p = 0.001) and renal replacement therapy (12.0% vs. 19.6%, p = 0.061), which resulted in shorter ICU length of stay (10 days, IQR 5–18 days vs. 18 days, IQR 5–31 days, p < 0.001). Nonetheless, ICU mortality did not change (28.9% vs. 21.5%, p = 0.159) and hospital mortality even increased (22.4% vs. 33.4%, p = 0.039) in the second period. Age, frailty and the number of comorbidities were significant predictors of hospital mortality in a multivariate logistic regression analysis of the overall cohort.

Conclusion

Advanced treatment strategies and learning effects over time resulted in reduced rates of mechanical ventilation and vasopressor use in the second wave associated with shorter ICU length of stay. Despite these improvements, age appears to be a dominant factor for hospital mortality in critically ill COVID-19 patients.

Supplementary Information

The online version of this article (10.1007/s00508-021-01945-5) contains supplementary material, which is available to authorized users.

Generating insights in uncharted territories: real-time learning from data in critically ill patients-an implementer report

Introduction In the current situation, clinical patient data are often siloed in multiple hospital information systems. Especially in the intensive care unit (ICU), large volumes of clinical data are routinely collected through continuous patient monitoring. Although these data often contain useful information for clinical decision making, they are not frequently used to improve quality of care. During, but also after, pressing times, data-driven methods can be used to mine treatment patterns from clinical data to determine the best treatment options from a hospitals own clinical data.

Methods In this implementer report, we describe how we implemented a data infrastructure that enabled us to learn in real time from consecutive COVID-19 ICU admissions. In addition, we explain our step-by-step multidisciplinary approach to establish such a data infrastructure.

Conclusion By sharing our steps and approach, we aim to inspire others, in and outside ICU walls, to make more efficient use of data at hand, now and in the future.

Relaxing restrictions at the pace of vaccination increases freedom and guards against further COVID-19 waves

Mass vaccination offers a promising exit strategy for the COVID-19 pandemic. However, as vaccination progresses, demands to lift restrictions increase, despite most of the population remaining susceptible. Using our age-stratified SEIRD-ICU compartmental model and curated epidemiological and vaccination data, we quantified the rate (relative to vaccination progress) at which countries can lift non-pharmaceutical interventions without overwhelming their healthcare systems. We analyzed scenarios ranging from immediately lifting restrictions (accepting high mortality and morbidity) to reducing case numbers to a level where test-trace-and-isolate (TTI) programs efficiently compensate for local spreading events. In general, the age-dependent vaccination roll-out implies a transient decrease of more than ten years in the average age of ICU patients and deceased. The pace of vaccination determines the speed of lifting restrictions; Taking the European Union (EU) as an example case, all considered scenarios allow for steadily increasing contacts starting in May 2021 and relaxing most restrictions by autumn 2021. Throughout summer 2021, only mild contact restrictions will remain necessary. However, only high vaccine uptake can prevent further severe waves. Across EU countries, seroprevalence impacts the long-term success of vaccination campaigns more strongly than age demographics. In addition, we highlight the need for preventive measures to reduce contagion in school settings throughout the year 2021, where children might be drivers of contagion because of them remaining susceptible. Strategies that maintain low case numbers, instead of high ones, reduce infections and deaths by factors of eleven and five, respectively. In general, policies with low case numbers significantly benefit from vaccination, as the overall reduction in susceptibility will further diminish viral spread. Keeping case numbers low is the safest long-term strategy because it considerably reduces mortality and morbidity and offers better preparedness against emerging escape or more contagious virus variants while still allowing for higher contact numbers (freedom) with progressing vaccinations.

ENDOGENOUS ENDOPHTHALMITIS IN THE SETTING OF COVID-19 INFECTION: A Case Series

PURPOSE

To describe endogenous endophthalmitis in the setting of COVID-19 pneumonia.

METHODS

Patients recovering from COVID-19 pneumonia who presented to our department with any or all of the following complaints: pain, watering, redness, and decreased vision were identified. All relevant data were collected for analysis.

RESULTS

Three patients with endogenous endophthalmitis were identified. All patients had been treated for COVID-19 pneumonia and therefore had received remdesivir and systemic steroids; 2 of the 3 patients received tocilizumab. All patients received vitreous biopsy, vitrectomy, and intraocular antibiotic injection. Patient 1 demonstrated Klebsiella pneumoniae in blood culture, K. pneumoniae and Escherichia coli in urine culture, and K. pneumoniae in vitreous fluid, whereas Patients 2 and 3 demonstrated Stenotrophomonas maltophilia and methicillin-resistant Staphylococcus aureus in the blood and nasopharyngeal culture, respectively. Correspondingly, the same organism was cultured from vitreous in Patients 2 and 3. The visual acuity at the last follow-up in Patients 1 to 3 was 20/100, 20/80, and 20/40, respectively. The probable source of infection was identified in each as renal calculi, dental caries, and the pharynx, respectively. Real-time polymerase chain reaction demonstrated the presence of Severe Acute Respiratory Syndrome Coronavirus 2 in the vitreous fluid of Patient 1.

CONCLUSION

We report good outcomes of early intervention for endogenous endophthalmitis in the setting of COVID-19 infection. We also document the presence of SARS-CoV-2 in vitreous.

[Characteristics and outcome of 70 ventilated COVID-19 patients : Summary after the first wave at a university center]

BACKGROUND

In a pandemic situation the overall mortality rate is of considerable interest; however, these data must always be seen in relation to the given healthcare system and the availability of local level of care. A recently published German data evaluation of more than 10,000 COVID-19 patients treated in 920 hospitals showed a high mortality rate of 22% in hospitalized patients and of more than 50% in patients requiring invasive ventilation. Because of the high infection rates in Bavaria, a large number of COVID-19 patients with considerable severity of disease were treated at the intensive care units of the LMU hospital. The LMU hospital is a university hospital and a specialized referral center for the treatment of patients with acute respiratory distress syndrome (ARDS).

OBJECTIVE

Data of LMU intensive care unit (ICU) patients were systematically evaluated and compared with the recently published German data.

METHODS

Data of all COVID-19 patients with invasive and noninvasive ventilation and with completed admission at the ICU of the LMU hospital until 31 July 2020 were collected. Data were processed using descriptive statistics.

RESULTS

In total 70 critically ill patients were included in the data evaluation. The median SAPS II on admission to the ICU was 62 points. The median age was 66 years and 81% of the patients were male. More than 90% were diagnosed with ARDS and received invasive ventilation. Treatment with extracorporeal membrane oxygenation (ECMO) was necessary in 10% of the patients. The median duration of ventilation was 16 days, whereby 34.3% of patients required a tracheostomy. Of the patients 27.1% were transferred to the LMU hospital from external hospitals with reference to our ARDS/ECMO program. Patients from external hospitals had ARDS of higher severity than the total study population. In total, nine different substances were used for virus-specific treatment of COVID-19. The most frequently used substances were hydroxychloroquine and azithromycin. Immunomodulatory treatment, such as Cytosorb® (18.6%) and methylprednisolone (25.7%) were also frequently used. The overall in-hospital mortality rate of ICU patients requiring ventilation was 28.6%. The mortality rates of patients from external hospitals, patients with renal replacement therapy and patients with ECMO therapy were 47.4%, 56.7% and 85.7%, respectively.

CONCLUSION

The mortality rate in the ventilated COVID-19 intensive care patients was considerably different from the general rate in Germany. The data showed that treatment in an ARDS referral center could result in a lower mortality rate. Low-dose administration of steroids may be another factor to improve patient outcome in a preselected patient population. In the authors' opinion, critically ill COVID-19 patients should be treated in an ARDS center provided that sufficient resources are available.

Protective ventilation and outcomes of critically ill patients with COVID-19: a cohort study

Background

Approximately 5% of COVID-19 patients develop respiratory failure and need ventilatory support, yet little is known about the impact of mechanical ventilation strategy in COVID-19. Our objective was to describe baseline characteristics, ventilatory parameters, and outcomes of critically ill patients in the largest referral center for COVID-19 in Sao Paulo, Brazil, during the first surge of the pandemic.

Methods

This cohort included COVID-19 patients admitted to the intensive care units (ICUs) of an academic hospital with 94 ICU beds, a number expanded to 300 during the pandemic as part of a state preparedness plan. Data included demographics, advanced life support therapies, and ventilator parameters. The main outcome was 28-day survival. We used a multivariate Cox model to test the association between protective ventilation and survival, adjusting for PF ratio, pH, compliance, and PEEP.

Results

We included 1503 patients from March 30 to June 30, 2020. The mean age was 60 ± 15 years, and 59% were male. During 28-day follow-up, 1180 (79%) patients needed invasive ventilation and 666 (44%) died. For the 984 patients who were receiving mechanical ventilation in the first 24 h of ICU stay, mean tidal volume was 6.5 ± 1.3 mL/kg of ideal body weight, plateau pressure was 24 ± 5 cmH₂O, respiratory system compliance was 31.9 (24.4–40.9) mL/cmH₂O, and 82% of patients were ventilated with protective ventilation. Noninvasive ventilation was used in 21% of patients, and prone, in 36%. Compliance was associated with survival and did not show a bimodal pattern that would support the presence of two phenotypes. In the multivariable model, protective ventilation (aHR 0.73 [95%CI 0.57–0.94]), adjusted for PF ratio, compliance, PEEP, and arterial pH, was independently associated with survival.

Conclusions

During the peak of the epidemic in Sao Paulo, critically ill patients with COVID-19 often required mechanical ventilation and mortality was high. Our findings revealed an association between mechanical ventilation strategy and mortality, highlighting the importance of protective ventilation for patients with COVID-19.

Supplementary Information

The online version contains supplementary material available at 10.1186/s13613-021-00882-w.

[Mortality in sepsis and septic shock in Germany. Results of a systematic review and meta-analysis]

Hintergrund

Verschiedene Autoren diskutieren, ob fehlende Qualitätsinitiativen und Behandlungsstandards in Deutschland im internationalen Vergleich zu höherer Sterblichkeit bei Sepsis und septischem Schock führen könnten. Dem gegenüber steht eine international anerkannte intensivmedizinische Versorgung in Deutschland, z. B. während der COVID-19-Pandemie.

Ziel der Arbeit

Ziel dieser Studie war es, die Sterblichkeit bei Sepsis und septischem Schock in Deutschland zu ermitteln und mit anderen Industrienationen zu vergleichen.

Material und Methoden

In eine systematischen Literaturrecherche wurden alle zwischen 2009 und 2020 veröffentlichten Interventions- und Beobachtungsstudien aus den Datenbanken PubMed und Cochrane Library eingeschlossen. Die 30- und 90-Tages-Sterblichkeit bei Sepsis und septischem Schock wurde in einer Metaanalyse mittels „Random-effects“-Modells gepoolt.

Ergebnisse

Insgesamt wurden 134 Studien in die Meta-Analyse eingeschlossen. Die 30-Tages-Sterblichkeit bei Sepsis betrug in Deutschland 26,50 % (95 %-KI: 19,86–33,15 %), in Europa (ohne Deutschland) 23,85 % (95%-KI: 20,49–27,21 %) und in Nordamerika 19,58 % (95%-KI: 14,03–25,14 %). Die 30-Tages-Sterblichkeit bei septischem Schock betrug 30,48 % (95 %-KI: 29,30–31,67 %), 34,57 % (95 %-KI: 33,51–35,64 %) bzw. 33,69 % (95 %-KI: 31,51–35,86 %). Die 90-Tages-Sterblichkeit bei septischem Schock betrug 38,78 % (95 %-KI: 32,70–44,86 %), 41,90 % (95 %-KI: 38,88–44,91 %) beziehungsweise 34,41 % (95 %-KI: 25,66–43,16 %).

Diskussion

Es ergaben sich somit keine Anhaltspunkte dafür, dass die Sterblichkeit bei Sepsis/septischem Schock im internationalen Vergleich in Deutschland erhöht ist.

Zusatzmaterial online

Die Online-Version dieses Beitrags (10.1007/s00101-021-00917-8) enthält zusätzliche Informationen zu den eingeschlossenen Studien. Beitrag und Zusatzmaterial stehen Ihnen auf www.springermedizin.de zur Verfügung. Bitte geben Sie dort den Beitragstitel in die Suche ein, das Zusatzmaterial finden Sie beim Beitrag unter „Ergänzende Inhalte“.

Early experience with critically ill patients with COVID-19 in Montreal

PURPOSE

Montreal has been the epicentre of the coronavirus disease (COVID-19) pandemic in Canada. Given the regional disparities in incidence and mortality in the general population, we aimed to describe local characteristics, treatments, and outcomes of critically ill COVID-19 patients in Montreal.

METHODS

A single-centre retrospective cohort of consecutive adult patients admitted to the intensive care unit (ICU) of Hôpital du Sacré-Coeur de Montréal with confirmed COVID-19 were included.

RESULTS

Between 20 March and 13 May 2020, 75 patients were admitted, with a median [interquartile range (IQR)] age of 62 [53-72] yr and high rates of obesity (47%), hypertension (67%), and diabetes (37%). Healthcare-related infections were responsible for 35% of cases. The median [IQR] day 1 sequential organ failure assessment score was 6 [3-7]. Invasive mechanical ventilation (IMV) was used in 57% of patients for a median [IQR] of 11 [5-22] days. Patients receiving IMV were characterized by a moderately decreased median [IQR] partial pressure of oxygen:fraction of inspired oxygen (day 1 PaO2:FiO2 = 177 [138-276]; day 10 = 173 [147-227]) and compliance (day 1 = 48 [38-58] mL/cmH2O; day 10 = 34 [28-42] mL/cmH2O) and very elevated estimated dead space fraction (day 1 = 0.60 [0.53-0.67]; day 10 = 0.72 [0.69-0.79]). Overall hospital mortality was 25%, and 21% in the IMV patients. Mortality was 82% in patients ≥ 80 yr old.

CONCLUSIONS

Characteristics and outcomes of critically ill patients with COVID-19 in Montreal were similar to those reported in the existing literature. We found an increased physiologic dead space, supporting the hypothesis that pulmonary vascular injury may be central to COVID-19-induced lung damage.

Clinical characteristics and day-90 outcomes of 4244 critically ill adults with COVID-19: a prospective cohort study

Purpose

To describe acute respiratory distress syndrome (ARDS) severity, ventilation management, and the outcomes of ICU patients with laboratory-confirmed COVID-19 and to determine risk factors of 90-day mortality post-ICU admission.

Methods

COVID-ICU is a multi-center, prospective cohort study conducted in 138 hospitals in France, Belgium, and Switzerland. Demographic, clinical, respiratory support, adjunctive interventions, ICU length-of-stay, and survival data were collected.

Results

From February 25 to May 4, 2020, 4643 patients (median [IQR] age 63 [54–71] years and SAPS II 37 [28–50]) were admitted in ICU, with day-90 post-ICU admission status available for 4244. On ICU admission, standard oxygen therapy, high-flow oxygen, and non-invasive ventilation were applied to 29%, 19%, and 6% patients, respectively. 2635 (63%) patients were intubated during the first 24 h whereas overall 3376 (80%) received invasive mechanical ventilation (MV) at one point during their ICU stay. Median (IQR) positive end-expiratory and plateau pressures were 12 (10–14) cmH₂O, and 24 (21–27) cmH₂O, respectively. The mechanical power transmitted by the MV to the lung was 26.5 (18.6–34.9) J/min. Paralyzing agents and prone position were applied to 88% and 70% of patients intubated at Day-1, respectively. Pulmonary embolism and ventilator-associated pneumonia were diagnosed in 207 (9%) and 1209 (58%) of these patients. On day 90, 1298/4244 (31%) patients had died. Among patients who received invasive or non-invasive ventilation on the day of ICU admission, day-90 mortality increased with the severity of ARDS at ICU admission (30%, 34%, and 50% for mild, moderate, and severe ARDS, respectively) and decreased from 42 to 25% over the study period. Early independent predictors of 90-day mortality were older age, immunosuppression, severe obesity, diabetes, higher renal and cardiovascular SOFA score components, lower PaO₂/FiO₂ ratio and a shorter time between first symptoms and ICU admission.

Conclusion

Among more than 4000 critically ill patients with COVID-19 admitted to our ICUs, 90-day mortality was 31% and decreased from 42 to 25% over the study period. Mortality was higher in older, diabetic, obese and severe ARDS patients.

Electronic supplementary material

The online version of this article (10.1007/s00134-020-06294-x) contains supplementary material, which is available to authorized users.