Characteristics and outcomes of patients with COVID-19 admitted to hospital and intensive care in the first phase of the pandemic in Canada: a national cohort study

A COVID-19 specific multiparametric and ECG-based score for the prediction of in-hospital mortality: ELCOVID score

We aimed to develop and validate a COVID-19 specific scoring system, also including some ECG features, to predict all-cause in-hospital mortality at admission. Patients were retrieved from the ELCOVID study (ClinicalTrials.gov identifier: NCT04367129), a prospective, multicenter Italian study enrolling COVID-19 patients between May to September 2020. For the model validation, we randomly selected two-thirds of participants to create a derivation dataset and we used the remaining one-third of participants as the validation set. Over the study period, 1014 hospitalized COVID-19 patients (mean age 74 years, 61% males) met the inclusion criteria and were included in this analysis. During a median follow-up of 12 (IQR 7-22) days, 359 (35%) patients died. Age (HR 2.25 [95%CI 1.72-2.94], p < 0.001), delirium (HR 2.03 [2.14-3.61], p = 0.012), platelets (HR 0.91 [0.83-0.98], p = 0.018), D-dimer level (HR 1.18 [1.01-1.31], p = 0.002), signs of right ventricular strain (RVS) (HR 1.47 [1.02-2.13], p = 0.039) and ECG signs of previous myocardial necrosis (HR 2.28 [1.23-4.21], p = 0.009) were independently associated to in-hospital all-cause mortality. The derived risk-scoring system, namely EL COVID score, showed a moderate discriminatory capacity and good calibration. A cut-off score of ≥ 4 had a sensitivity of 78.4% and 65.2% specificity in predicting all-cause in-hospital mortality. ELCOVID score represents a valid, reliable, sensitive, and inexpensive scoring system that can be used for the prognostication of COVID-19 patients at admission and may allow the earlier identification of patients having a higher mortality risk who may be benefit from more aggressive treatments and closer monitoring.

Clinical characteristics and prognosis of patients with COVID-19 on mechanical ventilation undergoing continuous renal replacement therapy

BACKGROUND

The coronavirus disease (COVID-19) pandemic has significantly strained global healthcare, particularly in the management of patients requiring mechanical ventilation (MV) and continuous renal replacement therapy (CRRT). This study investigated the characteristics and prognoses of these patients.

METHODS

This multicenter retrospective cohort study gathered data from patients with COVID-19 across 26 medical centers. Logistic analysis was used to identify the factors associated with CRRT implementation.

RESULTS

Of the 640 patients with COVID-19 who required MV, 123 (19.2%) underwent CRRT. Compared to the non-CRRT group, the CRRT group was older and exhibited higher sequential organ failure assessment scores. The incidence of hypertension, diabetes, cardiovascular disease, chronic neurological disease, and chronic kidney disease was also higher in the CRRT group. Moreover, the CRRT group had higher intensive care unit (ICU) (75.6% vs. 26.9%, p < 0.001) and in-hospital (79.7% vs. 29.6%, p < 0.001) mortality rates. CRRT implementation was identified as an independent risk factor for both ICU mortality (hazard ratio [HR]:1.833, 95% confidence interval [CI]:1.342-2.505, p < 0.001) and in-hospital mortality (HR: 2.228, 95% CI: 1.648-3.014, p < 0.001). Refractory respiratory failure (n = 99, 19.1%) was the most common cause of death in the non-CRRT death group, and shock with multi-organ failure (n = 50, 40.7%) was the most common cause of death in the CRRT death group. Shock with multi-organ failure and cardiac death were significantly more common in the CRRT death group, compared to non-CRRT death group.

CONCLUSION

This study indicates that CRRT is associated with higher ICU and in-hospital mortality rates in patients with COVID-19 who require MV. Notably, the primary cause of death in the CRRT group was shock with multi-organ failure, emphasizing the severe clinical course for these patients, while refractory respiratory failure was most common in non-CRRT patients.

Epidemiology, patterns of care and prognosis of acute kidney injury in critically ill patients: A multicenter study in Argentina (The EPIRA study)

BACKGROUND

Acute kidney injury (AKI) is associated with high morbidity and mortality rates in the intensive care unit (ICU). In low- and middle-income countries (LMICs), epidemiological information about this condition is still scarce. Our main objective was to characterize its epidemiology, prognosis, and its treatment.

METHODS

This multicenter prospective cohort study included 1466 patients from 35 ICUs during 6 months in Argentina in 2018. Risk factors and outcomes in patients with and without AKI, and between AKI on admission (AKIadm) and that developed during hospitalization (AKIhosp) were analyzed.

RESULTS

AKI occurred in 61.3% of patients (900/1466); 72.6% were AKIadm and 27.3% AKIhosp. Risk factors were age, BMI, arterial hypertension, cardiovascular diseases, diabetes, SOFA, APACHE II, dehydration, sepsis, vasopressor use, radiocontrast, diuresis/h and mechanical ventilation. Independent predictors for AKI were sepsis, diabetes, dehydration, vasopressors on admission, APACHE II and radiocontrast use. Renal replacement therapies (RRT) requirement in AKI patients was 14.8%. Hospital mortality in AKI vs. non-AKI was 38.7% and 23.3% (p < 0.001); and in AKIadm vs. AKIhosp, 41.2% and 37.8% (p = 0.53).

CONCLUSIONS

ICU-acquired AKI has high incidence, complications and mortality. Risk factors for AKI and RRT utilization were similar to those described in other epidemiological studies. AKIadm was more frequent than AKIhosp, but had equal prognosis.

The importance of facilitating goal-concordant care (GCC) in a pandemic: the MD Anderson Experience with hospitalized COVID-19-positive patients

PURPOSE

Provider-patient communication (PPC) about goals of care (GOC) facilitates goal-concordant care (GCC) delivery. Hospital resource limitations imposed during the pandemic made it vital to deliver GCC to a patient cohort with COVID-19 and cancer. We aimed to evaluate the implementation of a real-time goals of care intervention and to make recommendations for future pandemics with similar clinical scenarios.

METHODS

This is a retrospective cohort study, of all COVID-19 positive patients admitted to The University of Texas MD Anderson Cancer Center between March of 2020 and January of 2021. The cohort included the following: (1) patients 18 years of age or older; (2) positive COVID-19 infection; (3) requiring hospitalization. Medical records were reviewed and all patient data including demographics, comorbidities, and outcomes were collected and analyzed in the Syntropy platform, Palantir Foundry, as part of the institutional Data-Driven Determinants of COVID-19 Oncology Discovery Effort (D3CODE) protocol. A multidisciplinary GOC task force developed processes for ease of conducting GOC-PPC and implemented structured documentation. We looked at ACP documentation pre- and post-implementation alongside demographics, length of stay (LOS), 30-day readmission rate and mortality.

RESULTS

There were 494 unique patients identified, 53% male, 61.5% Caucasian, 16.8% African American, and 3.2% Asian. Active cancer was identified in 84.6% patients, of which 65.6% were solid tumors and 34.4% hematologic malignancies. LOS was 9 days with a 30-day readmission rate of 15% and inpatient mortality of 14%. Inpatient ACP note documentation was significantly higher post-implementation as compared to pre-implementation (90% vs 8%, P<0.05). We saw sustained ACP documentation throughout the pandemic suggesting effective processes.

CONCLUSIONS

The implementation of institutional structured processes for GOC-PPC resulted in rapid sustainable adoption of ACP documentation for COVID-19-positive cancer patients. This was highly beneficial for this population during the pandemic, as it demonstrated the role of agile processes in care delivery models, which will be beneficial in the future when rapid implementation is needed.

Prior physical illness predicts death better than acute physiological derangement on intensive care unit admission in COVID-19: A Swedish registry study

COVID-19 is associated with prolonged intensive care unit (ICU) stay and considerable mortality. The onset of persistent critical illness, defined as when prior illness predicts death better than acute physiological derangement, has not been studied in COVID-19. This national cohort study based on the Swedish Intensive Care Registry (SIR) included all patients admitted to a Swedish ICU due to COVID-19 from 6 March 2020 to 9 November 2021. Simplified Acute Physiology Score-3 (SAPS3) Box 1 was used as a measure of prior illness and Box 3 as a measure of acute derangement to evaluate the onset and importance of persistent critical illness in COVID-19. To compare predictive capacity, the area under receiver operating characteristic (AUC) of SAPS3 and its constituent Box 1 and 3 was calculated for 30-day mortality. In 7 969 patients, of which 1 878 (23.6%) died within 30 days of ICU admission, the complete SAPS3 score had acceptable discrimination: AUC 0.75 (95% CI 0.74 to 0.76) but showed under prediction in low-risk patients and over prediction in high-risk patients. SAPS3 Box 1 showed markedly better discrimination than Box 3 (AUC 0.74 vs 0.65, P<0,0001). Using custom logistic models, the difference in predictive performance of prior and acute illness was validated, AUC 0.76 vs AUC 0.69, p<0.0001. Prior physical illness predicts death in COVID-19 better than acute physiological derangement during ICU stay, and the whole SAPS3 score is not significantly better than just prior illness. The results suggests that COVID-19 may exhibit similarities to persistent critical illness immediately from ICU admission, potentially because of long median ICU length-of-stay. Alternatively, the variables in the acute physiological derangement model may not adequately capture the severity of illness in COVID-19.

Comorbidities, symptoms and end-of-life medication use in hospitalised decedents before and during the COVID-19 pandemic: a retrospective regional cohort study in Ottawa, Canada

OBJECTIVE

To compare comorbidities, symptoms and end-of-life (EoL) palliative medication (antisecretories, opioids, antipsychotics and sedatives) use among decedents before and during the COVID-19 pandemic.

DESIGN

In a retrospective cohort study, decedent records in three acute care hospitals were abstracted, generating a prepandemic (November 2019-February 2020) group (pre-COVID) and two intrapandemic (March-August 2020, wave 1) groups, one without (COVID-ve) and one with COVID-19 infection (COVID+ve). Control group decedents were matched 2:1 on age, sex and care service (medicine/intensive care unit (ICU)) with COVID+ve decedents.

SETTING

Three regional acute care teaching hospitals in Ottawa, Canada PARTICIPANTS: Decedents (N=425): COVID+ve (n=85), COVID-ve (n=170) and pre-COVID (n=170).

MAIN OUTCOME MEASURES

Data were abstracted regarding demographics, admission comorbidities and symptoms, and EoL medication use; opioid doses were standardised to parenteral morphine equivalent daily dose (MEDD), and the predictors of upper quartile MEDD in the last 24 hours of life were examined in multivariable logistic regression with adjusted ORs (aORs) and 95% CIs.

RESULTS

The prevalence of dementia (41% vs 28% and 26%, p=0.03), breathlessness (63.5% vs 42% and 47%, p<0.01), cough (40% vs 27% and 19%, p<0.01) and fever (54% vs 9% and 13.5%) was higher in COVID+ve versus pre-COVID and COVID-ve groups, respectively. The median (IQR) of MEDD over the last 72 hours of life was 16.7 (9-36.5) vs 13.5 (5.7-21.8) and 10.5 (5.3-23.8) for COVID+ve versus pre-COVID and COVID-ve groups, respectively, (p=0.007). Male sex, COVID+ve grouping, ICU death and high-flow nasal cannula use predicted upper quartile MEDD dose, aORs (95% CIs): 1.84 (1.05 to 3.22), 2.62 (1.29 to 5.3), 5.14 (2.47 to 10.7) and 1.93 (1.05 to 3.52), respectively. COVID+ve group decedents used highest lorazepam and propofol doses.

CONCLUSIONS

COVID-19 decedents, particularly those in ICU, required higher EoL opioid and sedating medication doses than matched prepandemic or intrapandemic controls. These findings should inform and guide clinical practice.

Outcomes and characteristics of patients hospitalized for COVID-19 in British Columbia, Ontario and Quebec during the Omicron wave

BACKGROUND

Omicron is the current predominant variant of concern of SARS-CoV-2. We hypothesized that vaccination alters outcomes of patients hospitalized with COVID-19 during the Omicron wave and that these patients have different characteristics and outcomes than in previous waves.

METHODS

This is a substudy of the Host Response Mediators in Coronavirus (COVID-19) Infection (ARBs CORONA I) trial, which included adults admitted to hospital with acute COVID-19 up to July 2022 from 9 hospitals in British Columbia, Ontario and Quebec. We excluded emergency department visits without hospital admission, readmissions and admissions for another reason. Using adjusted regression analysis, we compared mortality and organ dysfunction between vaccinated (≥ 2 doses) and unvaccinated patients during the Omicron wave, as well as between all patients in the Omicron and first 3 waves of the COVID-19 pandemic.

RESULTS

During the Omicron wave, 28-day mortality was significantly lower in vaccinated (n = 19/237) than unvaccinated hospitalized patients (n = 12/127) (adjusted odds ratio [OR] 0.36, 95% confidence interval [CI] 0.15-0.89); vaccinated patients had lower risk of admission to the intensive care unit, invasive ventilation and acute respiratory distress syndrome and shorter hospital length of stay. Patients hospitalized during the Omicron wave had more comorbidities than in previous waves, and lower 28-day mortality than in waves 1 and 2 (adjusted OR 0.38, 95% CI 0.24-0.59; and 0.42, 95% CI 0.26-0.65) but not wave 3 (adjusted OR 0.81, 95% CI 0.43-1.51) and had less organ dysfunction than in the first 2 waves.

INTERPRETATION

Patients who were at least double vaccinated had lower mortality than unvaccinated patients hospitalized during the Omicron wave. Patients hospitalized during the Omicron wave had more chronic disease and lower mortality than in the first 2 waves, but not wave 3. Changes in vaccination, treatments and predominant SARS-CoV-2 variant may have decreased mortality in patients hospitalized during the Omicron wave.

One-year mortality in COVID-19 is associated with patients' comorbidities rather than pneumonia severity

BACKGROUND

In patients with pneumonia or acute respiratory distress syndrome who survived hospitalization, one-year mortality can affect up to one third of discharged patients. Therefore, significant long-term mortality after COVID-19 respiratory failure could be expected. The primary outcome of the present study was one-year all-cause mortality in hospitalized COVID-19 patients.

METHODS

Observational study of COVID-19 patients hospitalized at Papa Giovanni XXIII Hospital (Bergamo, Italy), during the first pandemic wave.

RESULTS

A total of 1326 COVID-19 patients were hospitalized. Overall one-year mortality was 33.6% (N 446/1326), with the majority of deaths occurring during hospitalization (N=412, 92.4%). Thirty-four patients amongst the 914 discharged (3.7%) subsequentely died within one year. A third of these patients died for advanced cancer, while death without a cause other than COVID-19 was uncommon (8.8% of the overall post-discharge mortality). In-hospital late mortality (i.e. after 28 days of admission) interested a population with a lower age, and fewer comorbidities, more frequentely admitted in ICU. Independent predictors of post-discharge mortality were age over 65 years (HR 3.19; 95% CI 1.28-7.96, p-value=0.013), presence of chronic obstructive pulmonary disease (COPD) (HR 2.52; 95% CI 1.09-5.83, p-value=0.031) or proxy of cardiovascular disease (HR 4.93; 95% CI 1.45-16.75, p-value=0.010), and presence of active cancer (HR 3.64; 95% CI 1.50-8.84, p-value=0.004), but not pneumonia severity.

CONCLUSIONS

One-year post-discharge mortality depends on underlying patients' comorbidities rather than COVID-19 pneumonia severity per se. Awareness among physicians of predictors of post-discharge mortality might be helpful in structuring a follow-up program for discharged patients.

Prediction models of all-cause mortality among older adults in nursing home setting: A systematic review and meta-analysis

Background and Aims

Few studies have meta-analyzed different prognostic models developed for older adults, especially nursing home residents. We aimed to systematically review and meta-analyze the performance of all published models that predicted all-cause mortality among older nursing home residents.

Methods

We systematically searched PubMed and EMBASE from the databases' inception to January 1, 2020 to capture studies developing and/or validating a prognostic/prediction model for all-cause mortality among nursing home residents. We then carried out both qualitative and quantitative analyses evaluating these models' risks of bias and applicability.

Results

The systematic search yielded 23,975 articles. We identified 28 indices that predicted the risk of all-cause mortality from 14 days to 39 months among older adults in nursing homes. The most used predictors were age, sex, body weight, swallowing problem, congestive heart failure, shortness of breath, body mass index, and activities of daily living. Of the 28 indices, 8 (29%) and 3 (11%) were internally and externally validated, respectively. None of the indices was validated in more than one cohort. Of the 28 indices, 22 (79%) reported the C-statistic, while only 6 (6%) reported the 95% confidence interval for the C statistic in the development cohorts. In the validation cohorts, 11 (39%) reported the C-statistic and 8 (29%) reported the 95% confidence interval. The meta-analyzed C statistic for all indices is 0.733 (95% prediction interval: 0.669-0.797). All studies/indices had high risks of bias and high concern for applicability according to PROBAST.

Conclusion

We identified 28 indices for predicting all-cause mortality among older nursing home residents. The overall quality of evidence was low due to a high degree of bias and poor reporting of model performance statistics. Before any prediction model could be recommended in routine care, future research is needed to rigorously validate existing prediction models and evaluate their applicability and develop new prediction models.

Risk factors associated with acute kidney injury in a cohort of hospitalized patients with COVID-19

BACKGROUND

Patients with COVID-19 have a high incidence of acute kidney injury (AKI), which is associated with mortality. The objective of the study was to determine the factors associated with AKI in patients with COVID-19.

METHODOLOGY

A retrospective cohort was established in two university hospitals in Bogotá, Colombia. Adults hospitalized for more than 48 h from March 6, 2020, to March 31, 2021, with confirmed COVID-19 were included. The main outcome was to determine the factors associated with AKI in patients with COVID-19 and the secondary outcome was estimate the incidence of AKI during the 28 days following hospital admission.

RESULTS

A total of 1584 patients were included: 60.4% were men, 738 (46.5%) developed AKI, 23.6% were classified as KDIGO 3, and 11.1% had renal replacement therapy. The risk factors for developing AKI during hospitalization were male sex (OR 2.28, 95% CI 1.73-2.99), age (OR 1.02, 95% CI 1.01-1.03), history of chronic kidney disease (CKD) (OR 3.61, 95% CI 2.03-6.42), High Blood Pressure (HBP) (OR 6.51, 95% CI 2.10-20.2), higher qSOFA score to the admission (OR 1.4, 95% CI 1.14-1.71), the use of vancomycin (OR 1.57, 95% CI 1.05-2.37), piperacillin/tazobactam (OR 1.67, 95% CI 1.2-2.31), and vasopressor support (CI 2.39, 95% CI 1.53-3.74). The gross hospital mortality for AKI was 45.5% versus 11.7% without AKI.

CONCLUSIONS

This cohort showed that male sex, age, history of HBP and CKD, presentation with elevated qSOFA, in-hospital use of nephrotoxic drugs and the requirement for vasopressor support were the main risk factors for developing AKI in patients hospitalized for COVID-19.

Higher- versus Lower-Dose Corticosteroids for Severe to Critical COVID-19: A Systematic Review and Dose-Response Meta-analysis

Rationale: Corticosteroids are standard of care for patients with severe coronavirus disease (COVID-19). However, the optimal dose is uncertain. Objectives: To compare higher doses of corticosteroids with lower doses in patients with COVID-19. Methods: We searched MEDLINE, Embase, Cochrane Central Register of Controlled Trials, MedRxiv, and Web of Science from inception to August 1, 2022, for trials that randomized patients with severe-to-critical COVID-19 to corticosteroids, standard care, or placebo. Reviewers, working in duplicate, screened references, extracted data, and assessed risk of bias using a modified version of the Cochrane risk of bias 2.0 tool. We performed a dose-response meta-analysis and used the Grading of Recommendations Assessment, Development and Evaluation (GRADE) framework to assess the certainty of evidence. We present our results both in relative risk and absolute risk difference per 1,000, with 95% confidence intervals (CIs). Results: We included 20 trials, with 10,155 patients. We show that, compared with lower-dose corticosteroids, higher-dose corticosteroids probably reduce mortality (absolute risk difference, 14 fewer deaths per 1,000 [95% CI, 26 fewer to 2 fewer]; moderate certainty) and may reduce the need for mechanical ventilation (absolute risk difference, 11.6 fewer per 1,000 [95% CI, 23.2 fewer to 6.9 more]; low certainty). The effect of corticosteroids on nosocomial infections is uncertain (16.7 fewer infections per 1,000 [95% CI, 5.4 fewer to 25.0 fewer]; very low certainty). Conclusions: Relatively higher doses of corticosteroids may be beneficial in patients with severe-to-critical COVID-19 and may not increase the risk of nosocomial infections.

Intensive Care and Organ Support Related Mortality in Patients With COVID-19: A Systematic Review and Meta-Analysis

To perform a systematic review and meta-analysis to generate estimates of mortality in patients with COVID-19 that required hospitalization, ICU admission, and organ support.

DATA SOURCES

A systematic search of PubMed, Embase, and the Cochrane databases was conducted up to December 31, 2021.

STUDY SELECTION

Previously peer-reviewed observational studies that reported ICU, mechanical ventilation (MV), renal replacement therapy (RRT) or extracorporeal membrane oxygenation (ECMO)-related mortality among greater than or equal to 100 individual patients.

DATA EXTRACTION

Random-effects meta-analysis was used to generate pooled estimates of case fatality rates (CFRs) for in-hospital, ICU, MV, RRT, and ECMO-related mortality. ICU-related mortality was additionally analyzed by the study country of origin. Sensitivity analyses of CFR were assessed based on completeness of follow-up data, by year, and when only studies judged to be of high quality were included.

DATA SYNTHESIS

One hundred fifty-seven studies evaluating 948,309 patients were included. The CFR for in-hospital mortality, ICU mortality, MV, RRT, and ECMO were 25.9% (95% CI: 24.0-27.8%), 37.3% (95% CI: 34.6-40.1%), 51.6% (95% CI: 46.1-57.0%), 66.1% (95% CI: 59.7-72.2%), and 58.0% (95% CI: 46.9-68.9%), respectively. MV (52.7%, 95% CI: 47.5-58.0% vs 31.3%, 95% CI: 16.1-48.9%; p = 0.023) and RRT-related mortality (66.7%, 95% CI: 60.1-73.0% vs 50.3%, 95% CI: 42.4-58.2%; p = 0.003) decreased from 2020 to 2021.

CONCLUSIONS

We present updated estimates of CFR for patients hospitalized and requiring intensive care for the management of COVID-19. Although mortality remain high and varies considerably worldwide, we found the CFR in patients supported with MV significantly improved since 2020.

Strain on the ICU resources and patient outcomes in the COVID-19 pandemic: A Swedish national registry cohort study

BACKGROUND

The Coronavirus 2019 (COVID-19) pandemic has led to an unprecedented strain on the ICU resources. It is not known how the ICU resources employed in treating COVID-19 patients are related to inpatient characteristics, use of organ support or mortality.

OBJECTIVES

To investigate how the use of ICU resources relate to use of organ support and mortality in COVID-19 patients.

DESIGN

A national register-based cohort study.

SETTING

All Swedish ICUs from March 2020 to November 2021.

PATIENTS

All patients admitted to Swedish ICUs with a primary diagnosis of COVID-19 reported to the national Swedish Intensive Care Register (SIR).

MAIN OUTCOME MEASURES

Organ support (mechanical ventilation, noninvasive ventilation, high-flow oxygen therapy, prone positioning, surgical and percutaneous tracheostomy, central venous catheterisation, continuous renal replacement therapy and intermittent haemodialysis), discharge at night, re-admission, transfer and ICU and 30-day mortality.

RESULTS

Seven thousand nine hundred and sixty-nine patients had a median age of 63 years, and 70% were men. Median daily census was 167% of habitual census, daily new admissions were 20% of habitual census and the median occupancy was 82%. Census and new admissions were associated with mechanical ventilation, OR 1.37 (95% CI 1.28 to 1.48) and OR 1.44 (95% CI 1.13 to 1.84), respectively, but negatively associated with noninvasive ventilation, OR 0.83 (95% CI 0.77 to 0.89) and OR 0.40 (95% CI 0.30 to 52) and high-flow oxygen therapy, OR 0.72 (95% CI 0.67 to 0.77) and OR 0.77 (95% CI 0.61 to 0.97). Occupancy above 90% of available beds was not associated with mechanical ventilation or noninvasive ventilation, but with high-flow oxygen therapy, OR 1.36 (95% CI 1.21 to 1.53). All measures of pressure on resources were associated with transfer to other hospitals, but none were associated with discharge at night, ICU mortality or 30-day mortality.

CONCLUSIONS

Pressure on ICU resources was associated with more invasive respiratory support, indicating that during these times, ICU resources were reserved for sicker patients.

The primary care COVID-19 integrated pathway: a rapid response to health and social impacts of COVID-19

BACKGROUND

The first wave of COVID-19 in Calgary, Alberta accelerated the integration of primary care with the province's centrally managed health system. This integration aimed to deliver wraparound in-community patient care through two interventions that combined to create the COVID-19 Integrated Pathway (CIP). The CIP's interventions were: 1) a data sharing platform that ensured COVID-19 test results were directly available to family physicians (FPs), and 2) a clinical algorithm that supported FPs in delivering in-community follow up to improve patient outcomes. We describe the CIP function and its capacity to facilitate FP follow-up with COVID-19 patients and evaluate its impact on Emergency Department (ED) visits and hospitalization.

METHOD

We generated descriptive statistics by analyzing data from a Calgary Zone hub clinic called the Calgary COVID-19 Care Clinic (C4), provincially maintained records of hospitalization, ED visits, and physician claims.

RESULTS

Between Apr. 16 and Sep. 27, 2020, 7289 patients were referred by the Calgary Public Health team to the C4 clinic. Of those, 48.6% were female, the median age was 37.4 y. 97% of patients had at least one visit with a healthcare professional, where follow-up was conducted using the CIP's algorithm. 5.1% of patients visited an ED and 1.9% were hospitalized within 30 days of diagnosis. 75% of patients had a median of 4 visits with their FP.

DISCUSSION

Our data suggest that information exchange between Primary Care (PC) and central systems facilitates primary care-based management of patients with COVID-19 in the community and has potential to reduce acute care visits.

Multistudy Research Operations in the ICU: An Interprofessional Pandemic-Informed Approach

Proliferation of COVID-19 research underscored the need for improved awareness among investigators, research staff and bedside clinicians of the operational details of clinical studies. The objective was to describe the genesis, goals, participation, procedures, and outcomes of two research operations committees in an academic ICU during the COVID-19 pandemic.

DESIGN

Two-phase, single-center multistudy cohort.

SETTING

University-affiliated ICU in Hamilton, ON, Canada.

PATIENTS

Adult patients in the ICU, medical stepdown unit, or COVID-19 ward.

INTERVENTIONS

None.

MEASUREMENTS AND MAIN RESULTS

An interprofessional COVID Collaborative was convened at the pandemic onset within our department, to proactively coordinate studies, help navigate multiple authentic consent encounters by different research staff, and determine which studies would be suitable for coenrollment. From March 2020 to May 2021, five non-COVID trials continued, two were paused then restarted, and five were launched. Over 15 months, 161 patients were involved in 215 trial enrollments, 110 (51.1%) of which were into a COVID treatment trial. The overall informed consent rate (proportion agreed of those eligible and approached including a priori and deferred consent models) was 83% (215/259). The informed consent rate was lower for COVID-19 trials (110/142, 77.5%) than other trials (105/117, 89.7%; p = 0.01). Patients with COVID-19 were significantly more likely to be coenrolled in two or more studies (29/77, 37.7%) compared with other patients (13/84, 15.5%; p = 0.002). Review items for each new study were collated, refined, and evolved into a modifiable checklist template to set up each study for success. The COVID Collaborative expanded to a more formal Department of Critical Care Research Operations Committee in June 2021, supporting sustainable research operations during and beyond the pandemic.

CONCLUSIONS

Structured coordination and increased communication about research operations among diverse research stakeholders cultivated a sense of shared purpose and enhanced the integrity of clinical research operations.

Thromboelastography Parameters do not Discriminate for Thrombotic Events in Hospitalized Patients With COVID-19

Background

Coronavirus disease 2019 (COVID-19) is associated with a prothrombotic state; leading to multiple sequelae. We sought to detect whether thromboelastography (TEG) parameters would be able to detect thromboembolic events in patients hospitalized with COVID-19.

Methods

We performed a retrospective multicenter case–control study of the Collaborative Research to Understand the Sequelae of Harm in COVID (CRUSH COVID) registry of 8 tertiary care level hospitals in the United States (US). This registry contains adult patients with COVID-19 hospitalized between March 2020 and September 2020.

Results

A total of 277 hospitalized COVID-19 patients were analyzed to determine whether conventional coagulation TEG parameters were associated with venous thromboembolic (VTE) and thrombotic events during hospitalization. A clotting index (CI) >3 was present in 45.8% of the population, consistent with a hypercoagulable state. Eighty-three percent of the patients had clot lysis at 30 min (LY30)  =  0, consistent with fibrinolysis shutdown, with a median of 0.1%. We did not find TEG parameters (LY30 area under the receiver operating characteristic [ROC] curve [AUC]  =  0.55, 95% CI: 0.44-0.65, P value  =  .32; alpha angle [α] AUC  =  0.58, 95% CI: 0.47-0.69, P value  =  .17; K time AUC  =  0.58, 95% CI: 0.46-0.69, P value  =  .67; maximum amplitude (MA) AUC  =  0.54, 95% CI: 0.44-0.64, P value  =  .47; reaction time [R time] AUC  =  0.53, 95% CI: 0.42-0.65, P value  =  .70) to be a good discriminator for VTE. We also did not find TEG parameters (LY30 AUC  =  0.51, 95% CI: 0.42-0.60, P value  =  .84; R time AUC  =  0.57, 95%CI: 0.48-0.67, P value .07; α AUC  =  0.59, 95%CI: 0.51-0.68, P value  =  .02; K time AUC  =  0.62, 95% CI: 0.53-0.70, P value  =  .07; MA AUC  =  0.65, 95% CI: 0.57-0.74, P value < .01) to be a good discriminator for thrombotic events.

Conclusions

In this retrospective multicenter cohort study, TEG in COVID-19 hospitalized patients may indicate a hypercoagulable state, however, its use in detecting VTE or thrombotic events is limited in this population.

Long-term recovery after critical illness in older adults

PURPOSE OF REVIEW

The population is aging, and recent epidemiologic work reveals that an increasing number of older adults are presenting to the ICU with preexisting geriatric syndromes. In this update, we discuss recent literature pertaining to the long-term recovery of older ICU patients and highlight gaps in current knowledge.

RECENT FINDINGS

A recent longitudinal study demonstrated that the incidence of frailty, disability, and multimorbidity among older ICU patients is rising; these geriatric syndromes have all previously been shown to impact long-term recovery. Recent studies have demonstrated the impact of social factors in long-term outcomes after critical illness; for example, social isolation was recently shown to be associated with disability and mortality among older adults in the year after critical illness. Socioeconomic disadvantage is associated with higher rates of dementia and disability following critical illness impacting recovery, and further studies are necessary to better understand factors influencing this disparity. The COVID-19 pandemic disproportionately impacted older adults, resulting in worse outcomes and increased rates of functional decline and social isolation. In considering how to best facilitate recovery for older ICU survivors, transitional care programs may address the unique needs of older adults and help them adapt to new disability if recovery has not been achieved.

SUMMARY

Recent work demonstrates increasing trends of geriatric syndromes in the ICU, all of which are known to confer increased vulnerability among critically ill older adults and decrease the likelihood of post-ICU recovery. Risk factors are now known to extend beyond geriatric syndromes and include social risk factors and structural inequity. Strategies to improve post-ICU recovery must be viewed with a lens across the continuum of care, with post-ICU recovery programs targeted to the unique needs of older adults.

Machine learning-derived prediction of in-hospital mortality in patients with severe acute respiratory infection: analysis of claims data from the German-wide Helios hospital network

BACKGROUND

Severe acute respiratory infections (SARI) are the most common infectious causes of death. Previous work regarding mortality prediction models for SARI using machine learning (ML) algorithms that can be useful for both individual risk stratification and quality of care assessment is scarce. We aimed to develop reliable models for mortality prediction in SARI patients utilizing ML algorithms and compare its performances with a classic regression analysis approach.

METHODS

Administrative data (dataset randomly split 75%/25% for model training/testing) from years 2016-2019 of 86 German Helios hospitals was retrospectively analyzed. Inpatient SARI cases were defined by ICD-codes J09-J22. Three ML algorithms were evaluated and its performance compared to generalized linear models (GLM) by computing receiver operating characteristic area under the curve (AUC) and area under the precision-recall curve (AUPRC).

RESULTS

The dataset contained 241,988 inpatient SARI cases (75 years or older: 49%; male 56.2%). In-hospital mortality was 11.6%. AUC and AUPRC in the testing dataset were 0.83 and 0.372 for GLM, 0.831 and 0.384 for random forest (RF), 0.834 and 0.382 for single layer neural network (NNET) and 0.834 and 0.389 for extreme gradient boosting (XGBoost). Statistical comparison of ROC AUCs revealed a better performance of NNET and XGBoost as compared to GLM.

CONCLUSION

ML algorithms for predicting in-hospital mortality were trained and tested on a large real-world administrative dataset of SARI patients and showed good discriminatory performances. Broad application of our models in clinical routine practice can contribute to patients' risk assessment and quality management.

The German National Pandemic Cohort Network (NAPKON): rationale, study design and baseline characteristics

The German government initiated the Network University Medicine (NUM) in early 2020 to improve national research activities on the Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) pandemic. To this end, 36 German Academic Medical Centers started to collaborate on 13 projects, with the largest being the National Pandemic Cohort Network (NAPKON). The NAPKON’s goal is creating the most comprehensive Coronavirus Disease 2019 (COVID-19) cohort in Germany. Within NAPKON, adult and pediatric patients are observed in three complementary cohort platforms (Cross-Sectoral, High-Resolution and Population-Based) from the initial infection until up to three years of follow-up. Study procedures comprise comprehensive clinical and imaging diagnostics, quality-of-life assessment, patient-reported outcomes and biosampling. The three cohort platforms build on four infrastructure core units (Interaction, Biosampling, Epidemiology, and Integration) and collaborations with NUM projects. Key components of the data capture, regulatory, and data privacy are based on the German Centre for Cardiovascular Research. By April 01, 2022, 34 university and 40 non-university hospitals have enrolled 5298 patients with local data quality reviews performed on 4727 (89%). 47% were female, the median age was 52 (IQR 36–62-) and 50 pediatric cases were included. 44% of patients were hospitalized, 15% admitted to an intensive care unit, and 12% of patients deceased while enrolled. 8845 visits with biosampling in 4349 patients were conducted by April 03, 2022. In this overview article, we summarize NAPKON’s design, relevant milestones including first study population characteristics, and outline the potential of NAPKON for German and international research activities.

Trial registrationhttps://clinicaltrials.gov/ct2/show/NCT04768998.https://clinicaltrials.gov/ct2/show/NCT04747366.https://clinicaltrials.gov/ct2/show/NCT04679584

Comparative end-of-life communication and support in hospitalised decedents before and during the COVID-19 pandemic: a retrospective regional cohort study in Ottawa, Canada

OBJECTIVE

To compare end-of-life in-person family presence, patient-family communication and healthcare team-family communication encounters in hospitalised decedents before and during the COVID-19 pandemic.

DESIGN

In a regional multicentre retrospective cohort study, electronic health record data were abstracted for a prepandemic group (pre-COVID) and two intrapandemic (March-August 2020, wave 1) groups, one COVID-19 free (COVID-ve) and one with COVID-19 infection (COVID+ve). Pre-COVID and COVID-ve groups were matched 2:1 (age, sex and care service) with the COVID+ve group.

SETTING

One quaternary and two tertiary adult, acute care hospitals in Ottawa, Canada.

PARTICIPANTS

Decedents (n=425): COVID+ve (n=85), COVID-ve (n=170) and pre-COVID (n=170).

MAIN OUTCOME MEASURES

End-of-life (last 48 hours) in-person family presence and virtual (video) patient-family communication, and end-of-life (last 5 days) virtual team-family communication encounter occurrences were examined using logistic regression with ORs and 95% CIs. End-of-life (last 5 days) rates of in-person and telephone team-family communication encounters were examined using mixed-effects negative binomial models with incidence rate ratios (IRRs) and 95% CIs.

RESULTS

End-of-life in-person family presence decreased progressively across pre-COVID (90.6%), COVID-ve (79.4%) and COVID+ve (47.1%) groups: adjusted ORs=0.38 (0.2-0.73) and 0.09 (0.04-0.17) for COVID-ve and COVID+ve groups, respectively. COVID-ve and COVID+ve groups had reduced in-person but increased telephone team-family communication encounters: IRRs=0.76 (0.64-0.9) and 0.61 (0.47-0.79) for in-person, and IRRs=2.6 (2.1-3.3) and 4.8 (3.7-6.1) for telephone communications, respectively. Virtual team-family communication encounters occurred in 17/85 (20%) and 10/170 (5.9%) of the COVID+ve and COVID-ve groups, respectively: adjusted OR=3.68 (1.51-8.95).

CONCLUSIONS

In hospitalised COVID-19 pandemic wave 1 decedents, in-person family presence and in-person team-family communication encounters decreased at end of life, particularly in the COVID+ve group; virtual modalities were adopted for communication, and telephone use increased in team-family communication encounters. The implications of these communication changes for the patient, family and healthcare team warrant further study.

Clinical characteristics and outcomes of hospitalized patients with COVID-19 in a Brazilian hospital: a retrospective study of the first and second waves

•

This study describes the characteristics and outcomes of patients with coronavirus disease 2019 (COVID-19) in a Brazilian hospital.

•

Characteristics from the first and second waves were compared.

•

The number of cases was higher in the second wave, but hospitalizations were lower, compared with the first wave.

•

Admission and death rates were slightly lower in the study hospital compared with national rates.

•

This study can help managers to plan resources needed for the treatment of patients with COVID-19.

Objectives

To describe clinical characteristics, hospitalization flow and outcomes in a cohort of patients with coronavirus disease 2019 (COVID-19) in a Brazilian hospital in the first and second waves of the pandemic.

Methods

This retrospective, observational study included patients with confirmed COVID-19 who were evaluated in the emergency department (ED) between 1 March 2020 and 30 June 2021. Descriptive statistics have been used to report clinical characteristics, admissions and outcomes. Comparison between the two waves was inferred using hypothesis test techniques.

Results

During the study period, 7723 (86.54%) patients were evaluated in the ED, of which 1908 (24.70%) were admitted. Of these, 476 (24.95%) patients were initially allocated to the intensive care unit (ICU) and 1432 (75.05%) to the general ward. Of the patients initially allocated to the general ward, 349 (24.37%) were later transferred to the ICU. One hundred and fifty-eight patients were intubated (19.15% of ICU admissions) and 110 patients died (5.77% of all admissions). In the second wave, the admission rates decreased in both the ICU (from 13.84% to 9.56%; P<0.01) and the general ward (from 22.41% to 17.16%; P<0.01). The average age in the second wave decreased from 44.06 to 41.87 years (P<0.01). Patients with severe symptoms, such as dyspnoea, decreased from 25.51% to 13.13% (P<0.01) in the second wave. The death rate among admitted patients decreased by 17.84% (from 6.52% to 5.38%; P<0.01).

Conclusion

Despite the greater number of patients in the second wave, the admission and death rates were lower compared with the first wave. The mean age of patients was lower in the second wave, and patients arrived at the hospital with less severe symptoms compared with the first wave.

Evolving outcomes of extracorporeal membrane oxygenation during the first 2 years of the COVID-19 pandemic: a systematic review and meta-analysis

Background

Extracorporeal membrane oxygenation (ECMO) has been used extensively for coronavirus disease 2019 (COVID-19)-related acute respiratory distress syndrome (ARDS). Reports early in the pandemic suggested that mortality in patients with COVID-19 receiving ECMO was comparable to non-COVID-19-related ARDS. However, subsequent reports suggested that mortality appeared to be increasing over time. Therefore, we conducted an updated systematic review and meta-analysis, to characterise changes in mortality over time and elucidate risk factors for poor outcomes.

Methods

We conducted a meta-analysis (CRD42021271202), searching MEDLINE, Embase, Cochrane, and Scopus databases, from 1 December 2019 to 26 January 2022, for studies reporting on mortality among adults with COVID-19 receiving ECMO. We also captured hospital and intensive care unit lengths of stay, duration of mechanical ventilation and ECMO, as well as complications of ECMO. We conducted random-effects meta-analyses, assessed risk of bias of included studies using the Joanna Briggs Institute checklist and evaluated certainty of pooled estimates using GRADE methodology.

Results

Of 4522 citations, we included 52 studies comprising 18,211 patients in the meta-analysis. The pooled mortality rate among patients with COVID-19 requiring ECMO was 48.8% (95% confidence interval 44.8–52.9%, high certainty). Mortality was higher among studies which enrolled patients later in the pandemic as opposed to earlier (1st half 2020: 41.2%, 2nd half 2020: 46.4%, 1st half 2021: 62.0%, 2nd half 2021: 46.5%, interaction p value = 0.0014). Predictors of increased mortality included age, the time of final patient enrolment from 1 January 2020, and the proportion of patients receiving corticosteroids, and reduced duration of ECMO run.

Conclusions

The mortality rate for patients receiving ECMO for COVID-19-related ARDS has increased as the pandemic has progressed. The reasons for this are likely multifactorial; however, as outcomes for these patients evolve, the decision to initiate ECMO should include the best contextual estimate of mortality at the time of ECMO initiation.

Supplementary Information

The online version contains supplementary material available at 10.1186/s13054-022-04011-2.

Heterogeneity and Risk of Bias in Studies Examining Risk Factors for Severe Illness and Death in COVID-19: A Systematic Review and Meta-Analysis

This systematic review and meta-analysis synthesized the evidence on the impacts of demographics and comorbidities on the clinical outcomes of COVID-19, as well as the sources of the heterogeneity and publication bias of the relevant studies. Two authors independently searched the literature from PubMed, Embase, Cochrane library, and CINAHL on 18 May 2021; removed duplicates; screened the titles, abstracts, and full texts by using criteria; and extracted data from the eligible articles. The variations among the studies were examined by using Cochrane, Q.; I2, and meta-regression. Out of 11,975 articles that were obtained from the databases and screened, 559 studies were abstracted, and then, where appropriate, were analyzed by meta-analysis (n = 542). COVID-19-related severe illness, admission to the ICU, and death were significantly correlated with comorbidities, male sex, and an age older than 60 or 65 years, although high heterogeneity was present in the pooled estimates. The study design, the study country, the sample size, and the year of publication contributed to this. There was publication bias among the studies that compared the odds of COVID-19-related deaths, severe illness, and admission to the ICU on the basis of the comorbidity status. While an older age and chronic diseases were shown to increase the risk of developing severe illness, admission to the ICU, and death among the COVID-19 patients in our analysis, a marked heterogeneity was present when linking the specific risks with the outcomes.

Outcomes of critically ill COVID-19 survivors and caregivers: a case study-centred narrative review

PURPOSE

Critical illness is a transformative experience for both patients and their family members. For COVID-19 patients admitted to the intensive care unit (ICU), survival may be the start of a long road to recovery. Our knowledge of the post-ICU long-term sequelae of acute respiratory distress syndrome (ARDS) and severe acute respiratory syndrome (SARS) may inform our understanding and management of the long-term effects of COVID-19.

SOURCE

We identified international and Canadian epidemiologic data on ICU admissions for COVID-19, COVID-19 pathophysiology, emerging ICU practice patterns, early reports of long-term outcomes, and federal support programs for survivors and their families. Centred around an illustrating case study, we applied relevant literature from ARDS and SARS to contextualize knowledge within emerging COVID-19 research and extrapolate findings to future long-term outcomes.

PRINCIPAL FINDINGS

COVID-19 is a multisystem disease with unknown long-term morbidity and mortality. Its pathophysiology is distinct and unique from ARDS, SARS, and critical illness. Nevertheless, based on initial reports of critical care management for COVID-19 and the varied injurious supportive practices employed in the ICU, patients and families are at risk for post-intensive care syndrome. The distinct incremental risk of COVID-19 multiple organ dysfunction is unknown. The risk of mood disorders in family members may be further exacerbated by imposed isolation and stigma.

CONCLUSION

Emerging literature on COVID-19 outcomes suggests some similarities with those of ARDS/SARS and prolonged mechanical ventilation. The pathophysiology of COVID-19 is presented here in the context of early outcome data and to inform an agenda for longitudinal research for patients and families.

The Clinical Manifestation of SARS-CoV-2 in Critically Ill Patients with Klebsiella pneumoniae NDM Hospitalized in the ICU of a Modular Hospital during the Third Wave of the Pandemic in Poland—An Observational Cohort Study

There is limited information on the clinical characteristics of critically ill patients infected with SARS-CoV-2 and Klebsiella pneumoniae NDM. The objective of this study was to describe such a group of patients hospitalised in the intensive care unit of a large academic hospital during the third wave of the COVID-19 pandemic in Poland. Between 1 March and 30 June 2021, 103 patients were hospitalised, of whom 23 (22.3%) were positive for K. pneumoniae NDM; 14 (61%) of those patients died. Their hospitalisation time varied between 9 and 47 days. Five of the 23 patients (21.7%) were otherwise healthy. In contrast, the others suffered from cardiovascular problems (11, 47.8%), obesity (6, 26.1%), diabetes (5, 21.7%), neurological problems (4, 17.4%), or kidney disease (1, 4.3%); 4 (17.4%) were heavy smokers, and 1 (4.3%) had a history of alcohol abuse. K. pneumoniae NDM was isolated from urine samples of all patients. In 17 patients (73.9%), it was also isolated from other sources: from the respiratory tract in 10 (43.8%), from the blood in 2 (8.7%), and the central venous catheter was contaminated in 1 case (4.3%). Fourteen of the patients (60.9%) were colonised K. pneumoniae NDM. In four patients (17.4%), bacterial and fungal coinfection occurred. In one case (4.4%), two fungal species, Candida albicans and Candida glabrata, were isolated simultaneously. The most frequently administered antimicrobial agent was colistin (60.9%), followed by meropenem (47.8%), vancomycin (47.8%), ceftriaxone (34.8%), linezolid (30.4%), piperacillin/tazobactam (30.4%), and trimethoprim/sulfamethoxazole (30.4%). Other less-frequently administered agents included amikacin, amoxicillin/clavulanate, tigecycline, ciprofloxacin, fosfomycin, clindamycin, and cloxacillin. Fluconazole was administered in 14 patients (60.7%) and micafungin was administered in 2 (8.7%).

Treatments, resource utilization, and outcomes of COVID-19 patients presenting to emergency departments across pandemic waves: an observational study by the Canadian COVID-19 Emergency Department Rapid Response Network (CCEDRRN)

Background

Treatment for coronavirus disease 2019 (COVID-19) evolved between pandemic waves. Our objective was to compare treatments, acute care utilization, and outcomes of COVID-19 patients presenting to emergency departments (ED) across pandemic waves.

Methods

This observational study enrolled consecutive eligible COVID-19 patients presenting to 46 EDs participating in the Canadian COVID-19 ED Rapid Response Network (CCEDRRN) between March 1 and December 31, 2020. We collected data by retrospective chart review. Our primary outcome was in-hospital mortality. Secondary outcomes included treatments, hospital and ICU admissions, ED revisits and readmissions. Logistic regression modeling assessed the impact of pandemic wave on outcomes.

Results

We enrolled 9,967 patients in 8 provinces, 3,336 from the first and 6,631 from the second wave. Patients in the second wave were younger, fewer met criteria for severe COVID-19, and more were discharged from the ED. Adjusted for patient characteristics and disease severity, steroid use increased (odds ratio [OR] 7.4; 95% confidence interval [CI] 6.2–8.9), and invasive mechanical ventilation decreased (OR 0.5; 95% CI 0.4–0.7) in the second wave compared to the first. After adjusting for differences in patient characteristics and disease severity, the odds of hospitalization (OR 0.7; 95% CI 0.6–0.8) and critical care admission (OR 0.7; 95% CI 0.6–0.9) decreased, while mortality remained unchanged (OR 0.7; 95% CI 0.5–1.1).

Interpretation

In patients presenting to cute care facilities, we observed rapid uptake of evidence-based therapies and less use of experimental therapies in the second wave. We observed increased rates of ED discharges and lower hospital and critical care resource use over time. Substantial reductions in mechanical ventilation were not associated with increasing mortality. Advances in treatment strategies created health system efficiencies without compromising patient outcomes.

Trial registration

Clinicaltrials.gov, NCT04702945.

Supplementary Information

The online version contains supplementary material available at 10.1007/s43678-022-00275-3.

Organ dysfunction and death in patients admitted to hospital with COVID-19 in pandemic waves 1 to 3 in British Columbia, Ontario and Quebec, Canada: a cohort study

BACKGROUND

There have been multiple waves in the COVID-19 pandemic in many countries. We sought to compare mortality and respiratory, cardiovascular and renal dysfunction between waves in 3 Canadian provinces.

METHODS

We conducted a substudy of the ARBs CORONA I study, a multicentre Canadian pragmatic observational cohort study that examined the association of pre-existing use of angiotensin receptor blockers with outcomes in adults admitted to hospital with acute COVID-19 up to April 2021 from 9 community and teaching hospitals in 3 Canadian provinces (British Columbia, Ontario and Quebec). We excluded emergency department admissions without hospital admission, readmissions and admissions for another reason. We used logistic and 0-1-inflated β regression models to compare 28-day and in-hospital mortality, and the use of invasive mechanical ventilation, vasopressors and renal replacement therapy (RRT) between the first 3 waves of the COVID-19 pandemic in these provinces.

RESULTS

A total of 520, 572 and 245 patients in waves 1, 2 and 3, respectively, were included. Patients in wave 3 were on average younger and had fewer comorbidities than those in waves 1 and 2. The unadjusted 28-day mortality rate was significantly lower in wave 3 (7.8%) than in wave 1 (18.3%) (odds ratio [OR] 0.43, 95% confidence interval [CI] 0.24-0.78) and wave 2 (16.3%) (OR 0.46, 95% CI 0.27-0.79). After adjustment for differences in baseline characteristics, the difference in 28-day mortality remained significant (adjusted OR wave 3 v. wave 1: 0.46, 95% CI 0.26-0.81; wave 3 v. wave 2: 0.52, 95% CI 0.29-0.91). In-hospital mortality findings were similar. Use of invasive mechanical ventilation or vasopressors was less common in waves 2 and 3 than in wave 1, and use of RRT was less common in wave 3 than in wave 1.

INTERPRETATION

Severity of illness decreased (lower mortality and less use of organ support) across waves among patients admitted to hospital with acute COVID-19, possibly owing to changes in patient demographic characteristics and management, such as increased use of dexamethasone. Continued application of proven therapies may further improve outcomes.

STUDY REGISTRATION

ClinicalTrials.gov, no. NCT04510623.

Prescription Patterns of Drugs Given to Hospitalized COVID-19 Patients: A Cross-Sectional Study in Colombia

The impact of COVID-19 prompted a race to find a treatment that would reduce its mortality. Most studies have not shown favorable results for many of these drugs, but they are still used. The aim as to determine the differences and similarities in the hospital pharmacological management of patients with COVID-19 according to sex, age group, and geographical region of Colombia, 2020–2021. Descriptive cross-sectional study was conducted on the prescription patterns of the medications given to patients diagnosed with COVID-19 treated in eight clinics in Colombia between 6 March 2020 and 31 May 2021. We performed a descriptive analysis of the sociodemographic, clinical, and pharmacological variables of the patients. A total of 8596 patients from 170 cities were identified, with a median age of 53.0 years and 53.3% of them men. A total of 24.3% required care in the intensive care unit, and 18.7% required invasive mechanical ventilation. The most commonly used drugs for the treatment of COVID-19 were systemic corticosteroids (63.6%), followed by colchicine (12.8%), azithromycin (8.9%), and ivermectin (6.4%). Corticosteroids, anticoagulants, colchicine, azithromycin, ivermectin, and hydroxychloroquine were prescribed more frequently in men, and their overall use increased with age. There were differences in prescriptions between geographic regions. The majority of patients were managed with medications included in the management guidelines. There were differences between sexes, age groups, and geographical regions.

Remdesivir for the treatment of patients in hospital with COVID-19 in Canada: a randomized controlled trial

Background:

The role of remdesivir in the treatment of patients in hospital with COVID-19 remains ill defined in a global context. The World Health Organization Solidarity randomized controlled trial (RCT) evaluated remdesivir in patients across many countries, with Canada enrolling patients using an expanded data collection format in the Canadian Treatments for COVID-19 (CATCO) trial. We report on the Canadian findings, with additional demographics, characteristics and clinical outcomes, to explore the potential for differential effects across different health care systems.

Methods:

We performed an open-label, pragmatic RCT in Canadian hospitals, in conjunction with the Solidarity trial. We randomized patients to 10 days of remdesivir (200 mg intravenously [IV] on day 0, followed by 100 mg IV daily), plus standard care, or standard care alone. The primary outcome was in-hospital mortality. Secondary outcomes included changes in clinical severity, oxygen- and ventilator-free days (at 28 d), incidence of new oxygen or mechanical ventilation use, duration of hospital stay, and adverse event rates. We performed a priori subgroup analyses according to duration of symptoms before enrolment, age, sex and severity of symptoms on presentation.

Results:

Across 52 Canadian hospitals, we randomized 1282 patients between Aug. 14, 2020, and Apr. 1, 2021, to remdesivir (n = 634) or standard of care (n = 648). Of these, 15 withdrew consent or were still in hospital, for a total sample of 1267 patients. Among patients assigned to receive remdesivir, in-hospital mortality was 18.7%, compared with 22.6% in the standard-of-care arm (relative risk [RR] 0.83 (95% confidence interval [CI] 0.67 to 1.03), and 60-day mortality was 24.8% and 28.2%, respectively (95% CI 0.72 to 1.07). For patients not mechanically ventilated at baseline, the need for mechanical ventilation was 8.0% in those assigned remdesivir, and 15.0% in those receiving standard of care (RR 0.53, 95% CI 0.38 to 0.75). Mean oxygen-free and ventilator-free days at day 28 were 15.9 (± standard deviation [SD] 10.5) and 21.4 (± SD 11.3) in those receiving remdesivir and 14.2 (± SD 11) and 19.5 (± SD 12.3) in those receiving standard of care (p = 0.006 and 0.007, respectively). There was no difference in safety events of new dialysis, change in creatinine, or new hepatic dysfunction between the 2 groups.

Interpretation:

Remdesivir, when compared with standard of care, has a modest but significant effect on outcomes important to patients and health systems, such as the need for mechanical ventilation. Trial registration: ClinicalTrials.gov, no. NCT04330690.

COVID-19 pandemic: the impact on Canada’s intensive care units

The COVID-19 pandemic has exposed the precarious demand-capacity balance in Canadian hospitals, including critical care where there is an urgent need for trained health care professionals to dramatically increase ICU capacity.

The impact of the pandemic on ICUs varied significantly across the country with provinces that implemented public health measures later and relaxed them sooner being impacted more severely. Pediatric ICUs routinely admitted adult patients. Non-ICU areas were converted to ICUs and staff were redeployed from other essential service areas. Faced with a lack of critical care capacity, triage plans for ICU admission were developed and nearly implemented in some provinces.

Twenty eight percent of patients in Canadian ICUs who required mechanical ventilation died. Surviving patients have required prolonged ICU admission, hospitalization and extensive ongoing rehabilitation. Family members of patients were not permitted to visit, resulting in additional psychological stresses to patients, families, and healthcare teams. ICU professionals also experienced extreme psychological stresses from caring for such large numbers of critically ill patients, often in sub-standard conditions. This resulted in large numbers of health workers leaving their professions.

This pandemic is not yet over, and it is likely that new pandemics will follow. A review and recommendations for the future are provided.

Factores asociados con la gravedad de COVID-19 en mujeres embarazadas adolescentes brasileñas: un estudio de base poblacional

Resumen Objetivo: identificar los factores asociados a la necesidad de hospitalización en unidad de cuidados intensivos en adolescentes brasileñas embarazadas con COVID-19. Método: estudio de cohorte no concurrente de base poblacional, utilizando bases de datos secundarias. El estudio incluyó adolescentes brasileñas embarazadas que tuvieron confirmación de laboratorio de SARS-CoV-2 por Real Time, entre el 14 de marzo de 2020 y el 11 de abril de 2021. Análisis estadístico realizado por el modelo de regresión múltiple de Poisson, estimándose el riesgo relativo y respectivos intervalos de confianza del 95%, siendo significativos valores de p <0,05. Resultados: se incluyeron en el análisis 282 gestantes, con mediana de edad de 17 años, la mayoría de color de piel parda, en el tercer trimestre del embarazo y residentes en zona urbana o periurbana. La tasa de hospitalización en la unidad de cuidados intensivos fue del 14,5%, asociada a vivir en la región Sudeste (RR=5,03, IC95%=1,78-14,24, p=0,002), tener saturación sanguínea de oxígeno inferior al 95% (RR=2,62, IC95%=1,17-5,87, p=0,019) y tener alguna comorbilidad (RR=2,05, IC95%=1,01-4,16, p=0,047). Conclusión: la tasa de hospitalización en cuidados intensivos fue alta entre las adolescentes brasileñas embarazadas y se asoció con vivir en la región Sudeste, tener alguna comorbilidad y/o tener baja saturación de oxígeno.

Fatores associados à gravidade da COVID-19 em gestantes adolescentes brasileiras: estudo de base populacional

Resumo Objetivo: identificar os fatores associados à necessidade de internação em unidade de terapia intensiva em gestantes adolescentes brasileiras com COVID-19. Método: estudo de coorte não concorrente de base populacional, utilizando banco de dados secundários. Foram incluídas no estudo as gestantes adolescentes brasileiras que possuíam confirmação laboratorial de SARS-CoV-2 por Real Time, entre 14 de março de 2020 e 11 abril de 2021. Análise estatística realizada pelo modelo de regressão múltipla de Poisson, estimando-se o risco relativo e respectivos intervalos de confiança de 95%, sendo significativos valores de p <0,05. Resultados: foram incluídas na análise 282 gestantes, com mediana de idade de 17 anos, a maioria com cor da pele parda, no terceiro trimestre de gestação e residentes em zona urbana ou periurbana. A taxa de internação em unidade de terapia intensiva foi de 14,5%, associando-se a viver na região Sudeste (RR=5,03, IC95%=1,78-14,24, p=0,002), ter saturação de oxigênio inferior a 95% (RR=2,62, IC95%=1,17-5,87, p=0,019) e possuir alguma comorbidade (RR=2,05, IC95%=1,01-4,16, p=0,047). Conclusão: a taxa de internação em terapia intensiva foi elevada entre gestantes adolescentes brasileiras e associou-se a viver na região Sudeste, possuir alguma comorbidade e/ou apresentar baixa saturação de oxigênio.

Factors associated with COVID-19 severity among Brazilian pregnant adolescents: a population-based study

Abstract Objective: to identify the factors associated with need for intensive care unit admission of Brazilian pregnant adolescents with COVID-19. Method: population-based non-concurrent cohort study using secondary databases. Brazilian pregnant adolescents who had laboratory confirmation of SARS-CoV-2 by RT-PCR, between March 14, 2020 and April 11, 2021 were included in the study. Statistical analysis using the Poisson multiple regression model, estimating the relative risk and respective 95% confidence intervals, with values of p <0.05 considered significant. Results: in total, 282 pregnant women were included in the study, with median age of 17 years, most with brown skin, in the third trimester of pregnancy, and living in urban or peri-urban areas. The intensive care unit admission rate was 14.5%, associated with living in the Southeast region of Brazil (RR=5.03, 95%CI=1.78-14.24, p=0.002), oxygen saturation below 95% (RR=2.62, 95%CI=1.17-5.87, p=0.019), and having some comorbidity (RR=2.05, 95%CI=1.01-4.16, p=0.047). Conclusion: the intensive care unit admission rate was high among Brazilian pregnant adolescents and was associated with living in the Southeast region of Brazil, having some comorbidity and/or presenting low oxygen saturation.

Prognostic value of H2FPEF score in COVID-19

Study objective

This study sought to assess the predictive value of H₂FPEF score in patients with COVID-19.

Design

Retrospective study.

Setting

Rush University Medical Center.

Participants

A total of 1682 patients had an echocardiogram in the year preceding their COVID-19 admission with a preserved ejection fraction (≥50%). A total of 156 patients met inclusion criteria.

Interventions

Patients were divided into H₂FPEF into low (0–2), intermediate (3–5), and high (6–9) score H₂FPEF groups and outcomes were compared.

Main outcome measures

Adjusted multivariable logistic regression models evaluated the association between H₂FPEF score group and a composite outcome for severe COVID-19 infection consisting of (1) 60-day mortality or illness requiring (2) intensive care unit, (3) intubation, or (4) non-invasive positive pressure ventilation.

Results

High H₂FPEF scores were at increased risk for severe COVID-19 infection when compared intermediate to H₂FPEF score groups (OR 2.18 [CI: 1.01–4.80]; p = 0.049) and low H₂FPEF score groups (OR 2.99 [CI: 1.22–7.61]; p < 0.05). There was no difference in outcome between intermediate H₂FPEF scores (OR 1.34 [CI: 0.59–3.16]; p = 0.489) and low H₂FPEF score.

Conclusions

Patients with a high H₂FPEF score were at increased risk for severe COVID-19 infection when compared to patients with an intermediate or low H₂FPEF score regardless of regardless of coronary artery disease and chronic kidney disease.

Factors That Influence Mortality in Critically Ill Patients with SARS-CoV-2 Infection: A Multicenter Study in the Kingdom of Saudi Arabia

BACKGROUND

SARS-CoV-2 infection has a high mortality rate and continues to be a global threat, which warrants the identification of all mortality risk factors in critically ill patients.

METHODS

This is a retrospective multicenter cohort study conducted in five hospitals in the Kingdom of Saudi Arabia (KSA). We enrolled patients with confirmed SARS-COV-2 infection admitted to any of the intensive care units from the five hospitals between March 2020 and July 2020, corresponding to the peak of recorded COVID-19 cases in the KSA.

RESULTS

In total, 229 critically ill patients with confirmed SARS-CoV-2 infection were included in the study. The presenting symptoms and signs of patients who died during hospitalization were not significantly different from those observed among patients who survived. The baseline comorbidities that were significantly associated with in-hospital mortality were diabetes (62% vs. 48% among patients who died and survived (p = 0.046)), underlying cardiac disease (38% vs. 19% (p = 0.001)), and underlying kidney disease (32% vs. 12% (p < 0.001)).

CONCLUSION

In our cohort, the baseline comorbidities that were significantly associated with in-hospital mortality were diabetes, underlying cardiac disease, and underlying kidney disease. Additionally, the factors that independently influenced mortality among critically ill COVID-19 patients were high Activated Partial Thromboplastin Time (aPTT )and international normalization ratio (INR), acidosis, and high ferritin.

Impact of obesity on survival in COVID-19 ARDS patients receiving ECMO: results from an ambispective observational cohort

BACKGROUND

Since March 2020, health care systems were importantly affected by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) outbreak, with some patients presenting severe acute respiratory distress syndrome (ARDS), requiring extra-corporeal membrane oxygenation (ECMO). We designed an ambispective observational cohort study including all consecutive adult patients admitted to 5 different ICUs from a university hospital. The main objective was to identify the risk factors of severe COVID-19 ARDS patients supported by ECMO associated with 90-day survival.

RESULTS

Between March 1st and November 30th 2020, 76 patients with severe COVID-19 ARDS were supported by ECMO. Median (interquartile range IQR) duration of mechanical ventilation (MV) prior to ECMO was of 6 (3-10) days. At ECMO initiation, patients had a median PaO2:FiO2 of 71 mmHg (IQR 62-81), median PaCO2 of 58 mmHg (IQR 51-66) and a median arterial pH of 7.33 (IQR 7.25-7.38). Forty-five patients (59%) were weaned from ECMO. Twenty-eight day, 60-day and 90-day survival rates were, respectively, 92, 62 and 51%. In multivariate logistic regression analysis, with 2 models, one with the RESP score and one with the PRESERVE score, we found that higher BMI was associated with higher 90-day survival [odds ratio (OR): 0.775 (0.644-0.934), p = 0.007) and 0.631 (0.462-0.862), respectively]. Younger age was also associated with 90-day survival in both models [OR: 1.1354 (1.004-1.285), p = 0.044 and 1.187 (1.035-1.362), p = 0.014 respectively]. Obese patients were ventilated with higher PEEP than non-obese patients and presented slightly higher respiratory system compliance.

CONCLUSION

In this ambispective observational cohort of COVID-19 severe ARDS supported by ECMO, obesity was an independent factor associated with improved survival at 90-day.

Clinical features and mortality in COVID-19 SARI versus non COVID-19 SARI cases from Western Rajasthan, India

Background:

In March 2020, the Indian Council of Medical Research (ICMR) issued guidelines that all patients presenting with severe acute respiratory infections (SARI) should be investigated for coronavirus disease 2019 (COVID-19). Following the same protocol, in our institute, all patients with SARI were transferred to the COVID-19 suspect intensive care unit (ICU) and investigated for COVID-19.

Methods:

This study was planned to examine the demographical, clinical features, and outcomes of the first 500 suspected patients of COVID-19 with SARI admitted in the COVID-19 suspect ICU at a tertiary care center. Between March 7 and July 20, 2020, 500 patients were admitted to the COVID-19 suspect ICU. We analyzed the demographical, clinical features, and outcomes between COVID-19 positive and negative SARI cases. The records of all the patients were reviewed until July 31, 2020.

Results:

Of the 500 suspected patients admitted to the hospital, 88 patients showed positive results for COVID-19 by reverse transcription-polymerase chain reaction (RT-PCR) of the nasopharyngeal swabs. The mean age in the positive group was higher (55.31 ± 16.16 years) than in the negative group (40.46 ± 17.49 years) (P < 0.001). Forty-seven (53.4%) of these patients in the COVID-19 positive group and 217 (52.7%) from the negative group suffered from previously known comorbidities. The common symptoms included fever, cough, sore throat, and dyspnea. Eighty-five (20.6%) patients died in the COVID-19 negative group, and 30 (34.1%) died in the COVID-19 positive group (P = 0.006). Deaths among the COVID-19 positive group had a significantly higher age than deaths in the COVID-19 negative group (P < 0.001). Among the patients who died with positive COVID-19 status had substantially higher neutrophilia and lymphopenia (P < 0.001). X-ray chest abnormalities were almost three times more likely in COVID-19 deaths (P < 0.001).

Conclusion:

In the present article, 17.6% of SARI were due to COVID-19 infection with significantly higher mortality (34.1%) in COVID-19 positive patients with SARI. Although all patients presenting as SARI have considerable mortality rates, the COVID-19-associated SARI cases thus had an almost one-third risk of mortality.

Incidence and Outcomes of Acute Kidney Injury in Patients Admitted to Hospital With COVID-19: A Retrospective Cohort Study

BACKGROUND

The incidence of acute kidney injury (AKI) in patients with COVID-19 and its association with mortality and disease severity is understudied in the Canadian population.

OBJECTIVE

To determine the incidence of AKI in a cohort of patients with COVID-19 admitted to medicine and intensive care unit (ICU) wards, its association with in-hospital mortality, and disease severity. Our aim was to stratify these outcomes by out-of-hospital AKI and in-hospital AKI.

DESIGN

Retrospective cohort study from a registry of patients with COVID-19.

SETTING

Three community and 3 academic hospitals.

PATIENTS

A total of 815 patients admitted to hospital with COVID-19 between March 4, 2020, and April 23, 2021.

MEASUREMENTS

Stage of AKI, ICU admission, mechanical ventilation, and in-hospital mortality.

METHODS

We classified AKI by comparing highest to lowest recorded serum creatinine in hospital and staged AKI based on the Kidney Disease: Improving Global Outcomes (KDIGO) system. We calculated the unadjusted and adjusted odds ratio for the stage of AKI and the outcomes of ICU admission, mechanical ventilation, and in-hospital mortality.

RESULTS

Of the 815 patients registered, 439 (53.9%) developed AKI, 253 (57.6%) presented with AKI, and 186 (42.4%) developed AKI in-hospital. The odds of ICU admission, mechanical ventilation, and death increased as the AKI stage worsened. Stage 3 AKI that occurred during hospitalization increased the odds of death (odds ratio [OR] = 7.87 [4.35, 14.23]). Stage 3 AKI that occurred prior to hospitalization carried an increased odds of death (OR = 5.28 [2.60, 10.73]).

LIMITATIONS

Observational study with small sample size limits precision of estimates. Lack of nonhospitalized patients with COVID-19 and hospitalized patients without COVID-19 as controls limits causal inferences.

CONCLUSIONS

Acute kidney injury, whether it occurs prior to or after hospitalization, is associated with a high risk of poor outcomes in patients with COVID-19. Routine assessment of kidney function in patients with COVID-19 may improve risk stratification.

TRIAL REGISTRATION

The study was not registered on a publicly accessible registry because it did not involve any health care intervention on human participants.

COVID-19 epidemiology in Canada from January to December 2020: the pre-vaccine era

This paper summarizes COVID-19 disease epidemiology in Canada in the pre-vaccine era—from January through to December 2020. Canadian case numbers, risk factors, disease presentations (including severe and critical disease), and outcomes are described. Differences between provinces and territories in geography, population size and density, health demographics, and pandemic impact are highlighted. Key concepts in public health response and mitigation are reviewed, including masking, physical distancing, hand washing, and the promotion of outdoor interactions. Adequate investment in public health infrastructure is stressed, and regional differences in screening and testing strategies are highlighted. The spread of COVID-19 in Canadian workplaces, long-term care homes, and schools is described and lessons learned emphasized. The impact of COVID-19 on vulnerable populations in Canada—including Indigenous Peoples, ethnic minorities and newcomers, people who use drugs, people who are homeless, people who are incarcerated, and people with disabilities—is described. Sex and gender disparities are also highlighted. Author recommendations include strategies to reduce transmission (such as test–trace–isolate), the establishment of nationally standardized definitions and public reporting, the protection of high risk and vulnerable populations, and the development of a national strategy on vaccine allocation.