Browsing by Author "Green, Adam"

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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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    Factors Associated With Death in Critically Ill Patients With Coronavirus Disease 2019 in the US
    (American Medical Association, 2020-07-15) Gupta, Shruti; Hayek, Salim S.; Wang, Wei; 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; Sutherland, Anne; Green, Adam; Shehata, Alexandre M.; Goyal, Nitender; Vijayan, Anitha; Velez, Juan Carlos Q.; Shaefi, Shahzad; Parikh, Chirag R.; Arunthamakun, Justin; Athavale, Ambarish M.; Friedman, Allon N.; Short, Samuel A. P.; Kibbelaar, Zoe A.; Omar, Samah Abu; Admon, Andrew J.; Donnelly, John P.; Gershengorn, Hayley B.; Hernán, Miguel A.; Semler, Matthew W.; Leaf, David E.; Medicine, School of Medicine
    Importance: The US is currently an epicenter of the coronavirus disease 2019 (COVID-19) pandemic, yet few national data are available on patient characteristics, treatment, and outcomes of critical illness from COVID-19. Objectives: To assess factors associated with death and to examine interhospital variation in treatment and outcomes for patients with COVID-19. Design, Setting, and Participants: This multicenter cohort study assessed 2215 adults with laboratory-confirmed COVID-19 who were admitted to intensive care units (ICUs) at 65 hospitals across the US from March 4 to April 4, 2020. Exposures: Patient-level data, including demographics, comorbidities, and organ dysfunction, and hospital characteristics, including number of ICU beds. Main Outcomes and Measures: The primary outcome was 28-day in-hospital mortality. Multilevel logistic regression was used to evaluate factors associated with death and to examine interhospital variation in treatment and outcomes. Results: A total of 2215 patients (mean [SD] age, 60.5 [14.5] years; 1436 [64.8%] male; 1738 [78.5%] with at least 1 chronic comorbidity) were included in the study. At 28 days after ICU admission, 784 patients (35.4%) had died, 824 (37.2%) were discharged, and 607 (27.4%) remained hospitalized. At the end of study follow-up (median, 16 days; interquartile range, 8-28 days), 875 patients (39.5%) had died, 1203 (54.3%) were discharged, and 137 (6.2%) remained hospitalized. Factors independently associated with death included older age (≥80 vs <40 years of age: odds ratio [OR], 11.15; 95% CI, 6.19-20.06), male sex (OR, 1.50; 95% CI, 1.19-1.90), higher body mass index (≥40 vs <25: OR, 1.51; 95% CI, 1.01-2.25), coronary artery disease (OR, 1.47; 95% CI, 1.07-2.02), active cancer (OR, 2.15; 95% CI, 1.35-3.43), and the presence of hypoxemia (Pao2:Fio2<100 vs ≥300 mm Hg: OR, 2.94; 95% CI, 2.11-4.08), liver dysfunction (liver Sequential Organ Failure Assessment score of 2 vs 0: OR, 2.61; 95% CI, 1.30–5.25), and kidney dysfunction (renal Sequential Organ Failure Assessment score of 4 vs 0: OR, 2.43; 95% CI, 1.46–4.05) at ICU admission. Patients admitted to hospitals with fewer ICU beds had a higher risk of death (<50 vs ≥100 ICU beds: OR, 3.28; 95% CI, 2.16-4.99). Hospitals varied considerably in the risk-adjusted proportion of patients who died (range, 6.6%-80.8%) and in the percentage of patients who received hydroxychloroquine, tocilizumab, and other treatments and supportive therapies. Conclusions and Relevance: This study identified demographic, clinical, and hospital-level risk factors that may be associated with death in critically ill patients with COVID-19 and can facilitate the identification of medications and supportive therapies to improve outcomes.
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    Factors Associated With Death in Critically Ill Patients With Coronavirus Disease 2019 in the US
    (American Medical Association, 2020-11) Gupta, Shruti; Hayek, Salim S.; Wang, Wei; 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; Sutherland, Anne; Green, Adam; Shehata, Alexandre M.; Goyal, Nitender; Vijayan, Anitha; Velez, Juan Carlos Q.; Shaefi, Shahzad; Parikh, Chirag R.; Arunthamakun, Justin; Athavale, Ambarish M.; Friedman, Allon N.; Short, Samuel A.P.; Kibbelaar, Zoe A.; Omar, Samah Abu; Admon, Andrew J.; Donnelly, John P.; Gershengorn, Hayley B.; Hernán, Miguel A.; Semler, Matthew W.; Leaf, David E.; Medicine, School of Medicine
    Importance: The US is currently an epicenter of the coronavirus disease 2019 (COVID-19) pandemic, yet few national data are available on patient characteristics, treatment, and outcomes of critical illness from COVID-19. Objectives: To assess factors associated with death and to examine interhospital variation in treatment and outcomes for patients with COVID-19. Design, setting, and participants: This multicenter cohort study assessed 2215 adults with laboratory-confirmed COVID-19 who were admitted to intensive care units (ICUs) at 65 hospitals across the US from March 4 to April 4, 2020. Exposures: Patient-level data, including demographics, comorbidities, and organ dysfunction, and hospital characteristics, including number of ICU beds. Main outcomes and measures: The primary outcome was 28-day in-hospital mortality. Multilevel logistic regression was used to evaluate factors associated with death and to examine interhospital variation in treatment and outcomes. Results: A total of 2215 patients (mean [SD] age, 60.5 [14.5] years; 1436 [64.8%] male; 1738 [78.5%] with at least 1 chronic comorbidity) were included in the study. At 28 days after ICU admission, 784 patients (35.4%) had died, 824 (37.2%) were discharged, and 607 (27.4%) remained hospitalized. At the end of study follow-up (median, 16 days; interquartile range, 8-28 days), 875 patients (39.5%) had died, 1203 (54.3%) were discharged, and 137 (6.2%) remained hospitalized. Factors independently associated with death included older age (≥80 vs <40 years of age: odds ratio [OR], 11.15; 95% CI, 6.19-20.06), male sex (OR, 1.50; 95% CI, 1.19-1.90), higher body mass index (≥40 vs <25: OR, 1.51; 95% CI, 1.01-2.25), coronary artery disease (OR, 1.47; 95% CI, 1.07-2.02), active cancer (OR, 2.15; 95% CI, 1.35-3.43), and the presence of hypoxemia (Pao2:Fio2<100 vs ≥300 mm Hg: OR, 2.94; 95% CI, 2.11-4.08), liver dysfunction (liver Sequential Organ Failure Assessment score of 2-4 vs 0: OR, 2.61; 95% CI, 1.30-5.25), and kidney dysfunction (renal Sequential Organ Failure Assessment score of 4 vs 0: OR, 2.43; 95% CI, 1.46-4.05) at ICU admission. Patients admitted to hospitals with fewer ICU beds had a higher risk of death (<50 vs ≥100 ICU beds: OR, 3.28; 95% CI, 2.16-4.99). Hospitals varied considerably in the risk-adjusted proportion of patients who died (range, 6.6%-80.8%) and in the percentage of patients who received hydroxychloroquine, tocilizumab, and other treatments and supportive therapies. Conclusions and relevance: This study identified demographic, clinical, and hospital-level risk factors that may be associated with death in critically ill patients with COVID-19 and can facilitate the identification of medications and supportive therapies to improve outcomes.
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    Outc-08. Implementing Social Determinant of Health Data Collection for Pediatric, Adolescent and Young Adult Neuro-Oncology Patients in the Clinical Trial Consortia Setting: Progress and Challenges
    (Oxford University Press, 2023-06-12) Puthenpura, Vidya; Bona, Kira; Cooney, Tab; Coven, Scott; Davidson, Tom; Fouladi, Maryam; Kline, Cassie; Leary, Sarah; Mueller, Sabine; Green, Adam; Marks, Asher; Pediatrics, School of Medicine
    Adverse social determinants of health (SDoH) are associated with decreased survival and increased long-term complications amongst pediatric and adolescent and young adult (AYA) neuro-oncology patients. These outcome disparities are in part due to inferior access to clinical trials and comprehensive, multidisciplinary care. SDoH including food insecurity, housing instability, inability to pay for utilities, and personal safety issues have been shown to negatively impact therapy adherence and exacerbate survival disparities. As such, efforts to improve health equity must include evaluating and addressing SDoH at diagnosis. Existing literature has been limited by a reliance on proxy measures of adverse SDOH such as neighborhood or census area-level socioeconomic status data, which poorly reflect individual circumstances. There is a complex interplay between neighborhood and personal socioeconomic status that has not been extensively studied and is poorly understood. In addition, socioeconomic status is only one component of SDoH. No validated tool currently exists to assess SDoH amongst pediatric and AYA cancer patients. It is imperative that multicenter clinical trials collect SDoH data to inform both trial design and interpretation of results. These data will be important to understanding and identifying patterns in tumor and toxicity incidence, as well as understanding the burden on families in adhering to trial therapies. Based on our previous work, we will present the importance of incorporating SDoH data collection within the clinical trial consortia setting. In addition, we will review the development of a comprehensive SDoH questionnaire and discuss facilitators and barriers to the incorporation of SDoH questionnaires into multicenter clinical trials and offer solutions based on our experience.
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    Thrombosis, Bleeding, and the Observational Effect of Early Therapeutic Anticoagulation on Survival in Critically Ill Patients With COVID-19
    (ACP, 2021) Al-Samkari, Hanny; Gupta, Shruti; Leaf, Rebecca Karp; Wang, Wei; Rosovsky, Rachel P.; Brenner, Samantha K.; Hayek, Salim S.; Berlin, Hanna; Kapoor, Rajat; Shaefi, Shahzad; Melamed, Michal L.; Sutherland, Anne; Radbel, Jared; Green, Adam; Garibaldi, Brian T.; Srivastava, Anand; Leonberg-Yoo, Amanda; Shehata, Alexandre M.; Flythe, Jennifer E.; Rashidi, Arash; Goyal, Nitender; Chan, Lili; Mathews, Kusum S.; Hedayati, S. Susan; Dy, Rajany; Toth-Manikowski, Stephanie M.; Zhang, Jingjing; Mallappallil, Mary; Redfern, Roberta E.; Bansal, Amar D.; Short, Samuel A.P.; Vangel, Mark G.; Admon, Andrew J.; Semler, Matthew W.; Bauer, Kenneth A.; Hernán, Miguel A.; Leaf, David E.; Medicine, School of Medicine
    Background: Hypercoagulability may be a key mechanism of death in patients with coronavirus disease 2019 (COVID-19). Objective: To evaluate the incidence of venous thromboembolism (VTE) and major bleeding in critically ill patients with COVID-19 and examine the observational effect of early therapeutic anticoagulation on survival. Design: In a multicenter cohort study of 3239 critically ill adults with COVID-19, the incidence of VTE and major bleeding within 14 days after intensive care unit (ICU) admission was evaluated. A target trial emulation in which patients were categorized according to receipt or no receipt of therapeutic anticoagulation in the first 2 days of ICU admission was done to examine the observational effect of early therapeutic anticoagulation on survival. A Cox model with inverse probability weighting to adjust for confounding was used. Setting: 67 hospitals in the United States. Participants: Adults with COVID-19 admitted to a participating ICU. Measurements: Time to death, censored at hospital discharge, or date of last follow-up. Results: Among the 3239 patients included, the median age was 61 years (interquartile range, 53 to 71 years), and 2088 (64.5%) were men. A total of 204 patients (6.3%) developed VTE, and 90 patients (2.8%) developed a major bleeding event. Independent predictors of VTE were male sex and higher D-dimer level on ICU admission. Among the 2809 patients included in the target trial emulation, 384 (11.9%) received early therapeutic anticoagulation. In the primary analysis, during a median follow-up of 27 days, patients who received early therapeutic anticoagulation had a similar risk for death as those who did not (hazard ratio, 1.12 [95% CI, 0.92 to 1.35]). Limitation: Observational design. Conclusion: Among critically ill adults with COVID-19, early therapeutic anticoagulation did not affect survival in the target trial emulation.