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Browsing by Author "Hayek, Salim S."
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Item 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 MedicineBackground: 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.Item 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 MedicineImportance: 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.Item 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 MedicineImportance: 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.Item 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 MedicineImportance: 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.Item Impact of Social Vulnerability on Comorbid Cancer and Cardiovascular Disease Mortality in the United States(Elsevier, 2022-09-20) Ganatra, Sarju; Dani, Sourbha S.; Kumar, Ashish; Khan, Safi U.; Wadhera, Rishi; Neilan, Tomas G.; Thavendiranathan, Paaladinesh; Barac, Ana; Hermann, Joerg; Leja, Monika; Deswal, Anita; Fradley, Michael; Liu, Jennifer E.; Sadler, Diego; Asnani, Aarti; Baldassarre, Lauren A.; Gupta, Dipti; Yang, Eric; Guha, Avirup; Brown, Sherry-Ann; Stevens, Jennifer; Hayek, Salim S.; Porter, Charles; Kalra, Ankur; Baron, Suzanne J.; Ky, Bonnie; Virani, Salim S.; Kazi, Dhruv; Nasir, Khurram; Nohria, Anju; Medicine, School of MedicineBackground: Racial and social disparities exist in outcomes related to cancer and cardiovascular disease (CVD). Objectives: The aim of this cross-sectional study was to study the impact of social vulnerability on mortality attributed to comorbid cancer and CVD. Methods: The Centers for Disease Control and Prevention Wide-Ranging Online Data for Epidemiologic Research database (2015-2019) was used to obtain county-level mortality data attributed to cancer, CVD, and comorbid cancer and CVD. County-level social vulnerability index (SVI) data (2014-2018) were obtained from the CDC's Agency for Toxic Substances and Disease Registry. SVI percentiles were generated for each county and aggregated to form SVI quartiles. Age-adjusted mortality rates (AAMRs) were estimated and compared across SVI quartiles to assess the impact of social vulnerability on mortality related to cancer, CVD, and comorbid cancer and CVD. Results: The AAMR for comorbid cancer and CVD was 47.75 (95% CI: 47.66-47.85) per 100,000 person-years, with higher mortality in counties with greater social vulnerability. AAMRs for cancer and CVD were also significantly greater in counties with the highest SVIs. However, the proportional increase in mortality between the highest and lowest SVI counties was greater for comorbid cancer and CVD than for either cancer or CVD alone. Adults <45 years of age, women, Asian and Pacific Islanders, and Hispanics had the highest relative increase in comorbid cancer and CVD mortality between the fourth and first SVI quartiles, without significant urban-rural differences. Conclusions: Comorbid cancer and CVD mortality increased in counties with higher social vulnerability. Improved education, resource allocation, and targeted public health interventions are needed to address inequities in cardio-oncology.Item 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 MedicineBackground: 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.