Browsing by Author "STOP-COVID Investigators"

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    AKI Treated with Renal Replacement Therapy in Critically Ill Patients with COVID-19
    (Wolters Kluwer, 2021) Gupta, Shruti; Coca, Steven G.; Chan, Lili; Melamed, Michal L.; Brenner, Samantha K.; Hayek, Salim S.; Sutherland, Anne; Puri, Sonika; Srivastava, Anand; Leonberg-Yoo, Amanda; Shehata, Alexandre M.; Flythe, Jennifer E.; Rashidi, Arash; Schenck, Edward J.; Goyal, Nitender; Hedayati, S. Susan; Dy, Rajany; Bansal, Anip; Athavale, Ambarish; Nguyen, H. Bryant; Vijayan, Anitha; Charytan, David M.; Schulze, Carl E.; Joo, Min J.; Friedman, Allon N.; Zhang, Jingjing; Sosa, Marie Anne; Judd, Eric; Velez, Juan Carlos Q.; Mallappallil, Mary; Redfern, Roberta E.; Bansal, Amar D.; Neyra, Javier A.; Liu, Kathleen D.; Renaghan, Amanda D.; Christov, Marta; Molnar, Miklos Z.; Sharma, Shreyak; Kamal, Omer; Boateng, Jeffery Owusu; Short, Samuel A.P.; Admon, Andrew J.; Sise, Meghan E.; Wang, Wei; Parikh, Chirag R.; Leaf, David E.; STOP-COVID Investigators; Medicine, School of Medicine
    Background: AKI is a common sequela of coronavirus disease 2019 (COVID-19). However, few studies have focused on AKI treated with RRT (AKI-RRT). Methods: We conducted a multicenter cohort study of 3099 critically ill adults with COVID-19 admitted to intensive care units (ICUs) at 67 hospitals across the United States. We used multivariable logistic regression to identify patient-and hospital-level risk factors for AKI-RRT and to examine risk factors for 28-day mortality among such patients. Results: A total of 637 of 3099 patients (20.6%) developed AKI-RRT within 14 days of ICU admission, 350 of whom (54.9%) died within 28 days of ICU admission. Patient-level risk factors for AKI-RRT included CKD, men, non-White race, hypertension, diabetes mellitus, higher body mass index, higher d-dimer, and greater severity of hypoxemia on ICU admission. Predictors of 28-day mortality in patients with AKI-RRT were older age, severe oliguria, and admission to a hospital with fewer ICU beds or one with greater regional density of COVID-19. At the end of a median follow-up of 17 days (range, 1-123 days), 403 of the 637 patients (63.3%) with AKI-RRT had died, 216 (33.9%) were discharged, and 18 (2.8%) remained hospitalized. Of the 216 patients discharged, 73 (33.8%) remained RRT dependent at discharge, and 39 (18.1%) remained RRT dependent 60 days after ICU admission. Conclusions: AKI-RRT is common among critically ill patients with COVID-19 and is associated with a hospital mortality rate of >60%. Among those who survive to discharge, one in three still depends on RRT at discharge, and one in six remains RRT dependent 60 days after ICU admission.
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    Association Between Early Treatment With Tocilizumab and Mortality Among Critically Ill Patients With COVID-19
    (American Medical Association, 2020-10-20) Gupta, Shruti; Wang, Wei; Hayek, Salim S.; Chan, Lili; Mathews, Kusum S.; Melamed, Michal L.; Brenner, Samantha K.; Leonberg-Yoo, Amanda; Schenck, Edward J.; Radbel, Jared; Reiser, Jochen; Bansal, Anip; Srivastava, Anand; Zhou, Yan; Finkel, Diana; Green, Adam; Mallappallil, Mary; Faugno, Anthony J.; Zhang, Jingjing; Velez, Juan Carlos Q.; Shaefi, Shahzad; Parikh, Chirag R.; Charytan, David M.; Athavale, Ambarish M.; Friedman, Allon N.; Redfern, Roberta E.; Short, Samuel A. P.; Correa, Simon; Pokharel, Kapil K.; Admon, Andrew J.; Donnelly, John P.; Gershengorn, Hayley B.; Douin, David J.; Semler, Matthew W.; Hernán, Miguel A.; Leaf, David E.; STOP-COVID Investigators; Medicine, School of Medicine
    Importance: Therapies that improve survival in critically ill patients with coronavirus disease 2019 (COVID-19) are needed. Tocilizumab, a monoclonal antibody against the interleukin 6 receptor, may counteract the inflammatory cytokine release syndrome in patients with severe COVID-19 illness. Objective: To test whether tocilizumab decreases mortality in this population. Design, Setting, and Participants: The data for this study were derived from a multicenter cohort study of 4485 adults with COVID-19 admitted to participating intensive care units (ICUs) at 68 hospitals across the US from March 4 to May 10, 2020. Critically ill adults with COVID-19 were categorized according to whether they received or did not receive tocilizumab in the first 2 days of admission to the ICU. Data were collected retrospectively until June 12, 2020. A Cox regression model with inverse probability weighting was used to adjust for confounding. Exposures: Treatment with tocilizumab in the first 2 days of ICU admission. Main Outcomes and Measures: Time to death, compared via hazard ratios (HRs), and 30-day mortality, compared via risk differences. Results: Among the 3924 patients included in the analysis (2464 male [62.8%]; median age, 62 [interquartile range {IQR}, 52-71] years), 433 (11.0%) received tocilizumab in the first 2 days of ICU admission. Patients treated with tocilizumab were younger (median age, 58 [IQR, 48-65] vs 63 [IQR, 52-72] years) and had a higher prevalence of hypoxemia on ICU admission (205 of 433 [47.3%] vs 1322 of 3491 [37.9%] with mechanical ventilation and a ratio of partial pressure of arterial oxygen to fraction of inspired oxygen of <200 mm Hg) than patients not treated with tocilizumab. After applying inverse probability weighting, baseline and severity-of-illness characteristics were well balanced between groups. A total of 1544 patients (39.3%) died, including 125 (28.9%) treated with tocilizumab and 1419 (40.6%) not treated with tocilizumab. In the primary analysis, during a median follow-up of 27 (IQR, 14-37) days, patients treated with tocilizumab had a lower risk of death compared with those not treated with tocilizumab (HR, 0.71; 95% CI, 0.56-0.92). The estimated 30-day mortality was 27.5% (95% CI, 21.2%-33.8%) in the tocilizumab-treated patients and 37.1% (95% CI, 35.5%-38.7%) in the non-tocilizumab–treated patients (risk difference, 9.6%; 95% CI, 3.1%-16.0%). Conclusions and Relevance: Among critically ill patients with COVID-19 in this cohort study, the risk of in-hospital mortality in this study was lower in patients treated with tocilizumab in the first 2 days of ICU admission compared with patients whose treatment did not include early use of tocilizumab. However, the findings may be susceptible to unmeasured confounding, and further research from randomized clinical trials is needed.
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    Hospital-Level Variation in Death for Critically Ill Patients with COVID-19
    (ATS, 2021) Churpek, Matthew M.; Gupta, Shruti; Spicer, Alexandra B.; Parker, William F.; Fahrenbach, John; Brennen, Samantha K.; Leaf, David E.; STOP-COVID Investigators; Medicine, School of Medicine
    Rationale: Variation in hospital mortality has been described for coronavirus disease 2019 (COVID-19), but the factors that explain these differences remain unclear. Objective: Our objective was to utilize a large, nationally representative dataset of critically ill adults with COVID-19 to determine which factors explain mortality variability. Methods: In this multicenter cohort study, we examined adults hospitalized in intensive care units with COVID-19 at 70 United States hospitals between March and June 2020. The primary outcome was 28-day mortality. We examined patient-level and hospital-level variables. Mixed-effects logistic regression was used to identify factors associated with interhospital variation. The median odds ratio (OR) was calculated to compare outcomes in higher- vs. lower-mortality hospitals. A gradient boosted machine algorithm was developed for individual-level mortality models. Measurements and Main Results: A total of 4,019 patients were included, 1537 (38%) of whom died by 28 days. Mortality varied considerably across hospitals (0-82%). After adjustment for patient- and hospital-level domains, interhospital variation was attenuated (OR decline from 2.06 [95% CI, 1.73-2.37] to 1.22 [95% CI, 1.00-1.38]), with the greatest changes occurring with adjustment for acute physiology, socioeconomic status, and strain. For individual patients, the relative contribution of each domain to mortality risk was: acute physiology (49%), demographics and comorbidities (20%), socioeconomic status (12%), strain (9%), hospital quality (8%), and treatments (3%). Conclusion: There is considerable interhospital variation in mortality for critically ill patients with COVID-19, which is mostly explained by hospital-level socioeconomic status, strain, and acute physiologic differences. Individual mortality is driven mostly by patient-level factors.
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    Performance of crisis standards of care guidelines in a cohort of critically ill COVID-19 patients in the United States
    (Elsevier, 2021) Jezmir, Julia L.; Bharadwaj, Maheetha; Chaitoff, Alexander; Diephuis, Bradford; Crowley, Conor P.; Kishore, Sandeep P.; Goralnick, Eric; Merriam, Louis T.; Milliken, Aimee; Rhee, Chanu; Sadovnikoff, Nicholas; Shah, Sejal B.; Gupta, Shruti; Leaf, David E.; Feldman, William B.; Kim, Edy Y.; STOP-COVID Investigators; Graduate Medical Education, School of Medicine
    Many US states published crisis standards of care (CSC) guidelines for allocating scarce critical care resources during the COVID-19 pandemic. However, the performance of these guidelines in maximizing their population benefit has not been well tested. In 2,272 adults with COVID-19 requiring mechanical ventilation drawn from the Study of the Treatment and Outcomes in Critically Ill Patients with COVID-19 (STOP-COVID) multicenter cohort, we test the following three approaches to CSC algorithms: Sequential Organ Failure Assessment (SOFA) scores grouped into ranges, SOFA score ranges plus comorbidities, and a hypothetical approach using raw SOFA scores not grouped into ranges. We find that area under receiver operating characteristic (AUROC) curves for all three algorithms demonstrate only modest discrimination for 28-day mortality. Adding comorbidity scoring modestly improves algorithm performance over SOFA scores alone. The algorithm incorporating comorbidities has modestly worse predictive performance for Black compared to white patients. CSC algorithms should be empirically examined to refine approaches to the allocation of scarce resources during pandemics and to avoid potential exacerbation of racial inequities.