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Zheng R, Jin X, Liao W, Lin L. Association between the volume of fluid resuscitation and mortality modified by disease severity in patients with sepsis in ICU: a retrospective cohort study. BMJ Open 2023; 13:e066056. [PMID: 37041062 PMCID: PMC10106076 DOI: 10.1136/bmjopen-2022-066056] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 04/13/2023] Open
Abstract
OBJECTIVE The important effect modifiers of high disease severity on the relationship between the different volumes of early fluid resuscitation and prognosis in septic patients are unknown. Thus, this study was designed to assess whether the efficacy of different volumes in the early fluid resuscitation treatment of sepsis is affected by disease severity. DESIGN Retrospective cohort study. SETTING Adult intensive care unit (ICU) patients with sepsis from 2001 to 2012 in the MIMIC-III database. INTERVENTIONS The intravenous fluid volume within 6 hours after the sepsis diagnosis serves as the primary exposure. The patients were divided into the standard (≥ 30 mL/kg) and restrict (<30 mL/kg) groups. Disease severity was defined by the sequential organ failure assessment (SOFA) score at ICU admission. Propensity score matching analysis was performed to ensure the robustness of our results. PRIMARY AND SECONDARY OUTCOME MEASURES The primary endpoint of this study was 28-day mortality. Days without needing mechanical ventilation or vasopressor administration within 28-day of ICU admission serving as the secondary endpoint. RESULTS In total, 5154 consecutive individuals were identified in data analysis, 776 patients had a primary end-point event, 386 (49.68%) in the restrict group and 387 (49.81%) in the standard group. Compared with the restrict group, the standard group had higher 28-day mortality (adjusted HR, 1.32; 95% CI 1.03 to 1.70; p=0.03) in the subgroup with a sequential organ failure assessment (SOFA) score ≥10. By contrast, the risk of mortality reduction was modest in the subgroup with an SOFA score <10 (adjusted HR, 0.85; 95% CI 0.70 to 1.03; p=0.10). The effect of the interaction between the SOFA score and fluid resuscitation strategies on the 28-day mortality was significant (p=0.0035). CONCLUSIONS High disease severity modifies the relationship between the volume of fluid resuscitation and mortality in patients with sepsis in the ICU; future studies investigating this interaction are warranted.
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Affiliation(s)
- Rui Zheng
- Department of Critical Care Medicine, Sir Run Run Shaw Hospital, Zhejiang University, School of Medicine, Hangzhou, China
| | - Xinhao Jin
- Department of Critical Care Medicine, Sir Run Run Shaw Hospital, Zhejiang University, School of Medicine, Hangzhou, China
| | - Weichao Liao
- Department of Critical Care Medicine, Sir Run Run Shaw Hospital, Zhejiang University, School of Medicine, Hangzhou, China
| | - Ling Lin
- Department of Critical Care Medicine, Sir Run Run Shaw Hospital, Zhejiang University, School of Medicine, Hangzhou, China
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Liu R, Hunold KM, Caterino JM, Zhang P. Estimating treatment effects for time-to-treatment antibiotic stewardship in sepsis. NAT MACH INTELL 2023; 5:421-431. [PMID: 37125081 PMCID: PMC10135432 DOI: 10.1038/s42256-023-00638-0] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2021] [Accepted: 03/02/2023] [Indexed: 05/02/2023]
Abstract
Sepsis is a life-threatening condition with a high in-hospital mortality rate. The timing of antibiotic administration poses a critical problem for sepsis management. Existing work studying antibiotic timing either ignores the temporality of the observational data or the heterogeneity of the treatment effects. Here we propose a novel method (called T4) to estimate treatment effects for time-to-treatment antibiotic stewardship in sepsis. T4 estimates individual treatment effects by recurrently encoding temporal and static variables as potential confounders, and then decoding the outcomes under different treatment sequences. We propose mini-batch balancing matching that mimics the randomized controlled trial process to adjust the confounding. The model achieves interpretability through a global-level attention mechanism and a variable-level importance examination. Meanwhile, we equip T4 with an uncertainty quantification to help prevent overconfident recommendations. We demonstrate that T4 can identify effective treatment timing with estimated individual treatment effects for antibiotic stewardship on two real-world datasets. Moreover, comprehensive experiments on a synthetic dataset exhibit the outstanding performance of T4 compared with the state-of-the-art models on estimation of individual treatment effect.
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Affiliation(s)
- Ruoqi Liu
- Department of Computer Science and Engineering, The Ohio State University, Columbus, OH, USA
| | - Katherine M. Hunold
- Department of Emergency Medicine, The Ohio State University, Columbus, OH, USA
| | - Jeffrey M. Caterino
- Department of Emergency Medicine, The Ohio State University, Columbus, OH, USA
| | - Ping Zhang
- Department of Computer Science and Engineering, The Ohio State University, Columbus, OH, USA
- Department of Biomedical Informatics, The Ohio State University, Columbus, OH, USA
- Translational Data Analytics institute, The Ohio State University, Columbus, OH, USA
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3
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Rhee C, Yu T, Wang R, Kadri SS, Fram D, Chen HC, Klompas M. Association Between Implementation of the Severe Sepsis and Septic Shock Early Management Bundle Performance Measure and Outcomes in Patients With Suspected Sepsis in US Hospitals. JAMA Netw Open 2021; 4:e2138596. [PMID: 34928358 PMCID: PMC8689388 DOI: 10.1001/jamanetworkopen.2021.38596] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/20/2022] Open
Abstract
IMPORTANCE In October 2015, the Centers for Medicare & Medicaid Services began requiring US hospitals to report adherence to the Severe Sepsis and Septic Shock Early Management Bundle (SEP-1). OBJECTIVE To evaluate the association of SEP-1 implementation with sepsis treatment patterns and outcomes in diverse hospitals. DESIGN, SETTING, AND PARTICIPANTS This retrospective cohort study with interrupted time-series analysis and logistic regression models was conducted among adults admitted to 114 hospitals from October 2013 to December 2017 with suspected sepsis (blood culture orders, ≥2 systemic inflammatory response syndrome criteria, and acute organ dysfunction) within 24 hours of hospital arrival. Data analysis was conducted from September 2020 to September 2021. EXPOSURES SEP-1 implementation in the fourth quarter (Q4) of 2015. MAIN OUTCOMES AND MEASURES The primary outcome was quarterly rates of risk-adjusted short-term mortality (in-hospital death or discharge to hospice). Secondary outcomes included lactate testing and administration of anti-methicillin-resistant Staphylococcus aureus (MRSA) or antipseudomonal β-lactam antibiotics within 24 hours of hospital arrival. Generalized estimating equations with robust sandwich variances were used to fit logistic regression models to assess for changes in level or trends in these outcomes, adjusting for baseline characteristics and severity of illness. RESULTS The cohort included 117 510 patients (median [IQR] age, 67 years [55-78] years; 60 530 [51.5%] men and 56 980 [48.5%] women) with suspected sepsis. Lactate testing rates increased from 55.1% (95% CI, 53.9%-56.2%) in Q4 of 2013 to 76.7% (95% CI, 75.4%-78.0%) in Q4 of 2017, with a significant level change following SEP-1 implementation (odds ratio [OR], 1.34; 95% CI, 1.04-1.74). There were increases in use of anti-MRSA antibiotics (19.8% [95% CI, 18.9%-20.7%] in Q4 of 2013 to 26.3% [95% CI, 24.9%-27.7%] in Q4 of 2017) and antipseudomonal antibiotics (27.7% [95% CI, 26.7%-28.8%] in Q4 of 2013 to 40.5% [95% CI, 38.9%-42.0%] in Q4 of 2017), but these trends preceded SEP-1 and did not change with SEP-1 implementation. Unadjusted short-term mortality rates were similar in the pre-SEP-1 period (Q4 of 2013 through Q3 of 2015) vs the post-SEP-1 period (Q1 of 2016 through Q4 of 2017) (20.3% [95% CI, 20.0%-20.6%] vs 20.4% [95% CI, 20.1%-20.7%]), and SEP-1 implementation was not associated with changes in level (OR, 0.94; 95% CI, 0.68-1.29) or trend (OR, 1.00; 95% CI, 0.97-1.04) for risk-adjusted short-term mortality rates. CONCLUSIONS AND RELEVANCE In this cohort study, SEP-1 implementation was associated with an immediate increase in lactate testing rates, no change in already-increasing rates of broad-spectrum antibiotic use, and no change in short-term mortality rates for patients with suspected sepsis. Other approaches to decrease sepsis mortality may be warranted.
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Affiliation(s)
- Chanu Rhee
- Department of Population Medicine, Harvard Medical School, Harvard Pilgrim Health Care Institute, Boston, Massachusetts
- Division of Infectious Diseases, Department of Medicine, Brigham and Women’s Hospital, Boston, Massachusetts
| | - Tingting Yu
- Department of Population Medicine, Harvard Medical School, Harvard Pilgrim Health Care Institute, Boston, Massachusetts
| | - Rui Wang
- Department of Population Medicine, Harvard Medical School, Harvard Pilgrim Health Care Institute, Boston, Massachusetts
| | - Sameer S. Kadri
- Critical Care Medicine Department, National Institutes of Health Clinical Center, Bethesda, Maryland
| | - David Fram
- Commonwealth Informatics, Waltham, Massachusetts
| | | | - Michael Klompas
- Department of Population Medicine, Harvard Medical School, Harvard Pilgrim Health Care Institute, Boston, Massachusetts
- Division of Infectious Diseases, Department of Medicine, Brigham and Women’s Hospital, Boston, Massachusetts
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Han X, Spicer A, Carey KA, Gilbert ER, Laiteerapong N, Shah NS, Winslow C, Afshar M, Kashiouris MG, Churpek MM. Identifying High-Risk Subphenotypes and Associated Harms From Delayed Antibiotic Orders and Delivery. Crit Care Med 2021; 49:1694-1705. [PMID: 33938715 PMCID: PMC8448901 DOI: 10.1097/ccm.0000000000005054] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Abstract
OBJECTIVES Early antibiotic administration is a central component of sepsis guidelines, and delays may increase mortality. However, prior studies have examined the delay to first antibiotic administration as a single time period even though it contains two distinct processes: antibiotic ordering and antibiotic delivery, which can each be targeted for improvement through different interventions. The objective of this study was to characterize and compare patients who experienced order or delivery delays, investigate the association of each delay type with mortality, and identify novel patient subphenotypes with elevated risk of harm from delays. DESIGN Retrospective analysis of multicenter inpatient data. SETTING Two tertiary care medical centers (2008-2018, 2006-2017) and four community-based hospitals (2008-2017). PATIENTS All patients admitted through the emergency department who met clinical criteria for infection. INTERVENTIONS None. MEASUREMENTS AND MAIN RESULTS Patient demographics, vitals, laboratory values, medication order and administration times, and in-hospital survival data were obtained from the electronic health record. Order and delivery delays were calculated for each admission. Adjusted logistic regression models were used to examine the relationship between each delay and in-hospital mortality. Causal forests, a machine learning method, was used to identify a high-risk subgroup. A total of 60,817 admissions were included, and delays occurred in 58% of patients. Each additional hour of order delay (odds ratio, 1.04; 95% CI, 1.03-1.05) and delivery delay (odds ratio, 1.05; 95% CI, 1.02-1.08) was associated with increased mortality. A patient subgroup identified by causal forests with higher comorbidity burden, greater organ dysfunction, and abnormal initial lactate measurements had a higher risk of death associated with delays (odds ratio, 1.07; 95% CI, 1.06-1.09 vs odds ratio, 1.02; 95% CI, 1.01-1.03). CONCLUSIONS Delays in antibiotic ordering and drug delivery are both associated with a similar increase in mortality. A distinct subgroup of high-risk patients exist who could be targeted for more timely therapy.
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Affiliation(s)
- Xuan Han
- Department of Medicine, The University of Chicago, Chicago, Illinois
| | - Alexandra Spicer
- Department of Medicine, University of Wisconsin, Madison, Wisconsin
| | - Kyle A Carey
- Department of Medicine, The University of Chicago, Chicago, Illinois
| | - Emily R Gilbert
- Department of Medicine, Loyola University Medical Center, Maywood, Illinois
| | - Neda Laiteerapong
- Department of Medicine, The University of Chicago, Chicago, Illinois
| | - Nirav S Shah
- Department of Medicine, The University of Chicago, Chicago, Illinois
- Department of Medicine, NorthShore University Healthcare, Evanston, Illinois
| | - Christopher Winslow
- Department of Medicine, NorthShore University Healthcare, Evanston, Illinois
| | - Majid Afshar
- Department of Medicine, University of Wisconsin, Madison, Wisconsin
| | - Markos G Kashiouris
- Department of Medicine, Virginia Commonwealth University, Richmond, Virginia
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Shappell CN, Klompas M, Rhee C. The authors reply. Crit Care Med 2021; 49:e657-e658. [PMID: 34011840 DOI: 10.1097/ccm.0000000000004981] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Affiliation(s)
- Claire N Shappell
- Department of Population Medicine, Harvard Medical School/Harvard Pilgrim Health Care Institute, Boston, MA
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, MA
| | - Michael Klompas
- Department of Population Medicine, Harvard Medical School/Harvard Pilgrim Health Care Institute, Boston, MA
- Division of Infectious Diseases, Department of Medicine, Brigham and Women's Hospital, Boston, MA
| | - Chanu Rhee
- Department of Population Medicine, Harvard Medical School/Harvard Pilgrim Health Care Institute, Boston, MA
- Division of Infectious Diseases, Department of Medicine, Brigham and Women's Hospital, Boston, MA
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Less Lumping and More Splitting: Why We Should Not Call COVID Sepsis. Crit Care Med 2021; 49:e656-e657. [PMID: 34011839 DOI: 10.1097/ccm.0000000000004930] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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Affiliation(s)
- Paul E Marik
- Division of Pulmonary and Critical Care Medicine, Eastern Virginia Medical School, Norfolk, VA, USA
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8
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Wang J, Strich JR, Applefeld WN, Sun J, Cui X, Natanson C, Eichacker PQ. Driving blind: instituting SEP-1 without high quality outcomes data. J Thorac Dis 2020; 12:S22-S36. [PMID: 32148923 DOI: 10.21037/jtd.2019.12.100] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
Abstract
In 2015, the Centers for Medicare and Medicaid Services (CMS) instituted an all-or-none sepsis performance measure bundle (SEP-1) to promote high-quality, cost-effective care. Systematic reviews demonstrated only low-quality evidence supporting most of SEP-1's interventions. CMS has removed some but not all of these unproven components. The current SEP-1 version requires patients with suspected sepsis have a lactate level, blood cultures, broad-spectrum antibiotics and, if hypotensive, a fixed 30 mL/kg fluid infusion within 3 hours, and a repeat lactate if initially elevated within 6 hours. Experts have continued to raise concerns that SEP-1 remains overly prescriptive, lacks a sound scientific basis and presents risks (overuse of antibiotics and inappropriate fluids not titrated to need). To incentivize compliance with SEP-1, CMS now publicly publishes how often hospitals complete all interventions in individual patients. However, compliance measured across hospitals (5 studies, 48-2,851 hospitals) or patients (three studies, 110-851 patients) has been low (approximately 50%) which is not surprising given SEP-1's lack of scientific basis. The largest observational study (1,738 patients) reporting survival rates employing SEP-1 found they were not significantly improved with the measure (P=0.53) as did the next largest study (851 patients, adjusted survival odds ratio 1.36, 95% CI, 0.85 to 2.18). Two smaller observational studies (158 and 450 patients) reported SEP-1 improved unadjusted survival (P≤0.05) but were confounded either by baseline imbalances or by simultaneous introduction of a code sepsis protocol to improve compliance. Regardless, retrospective studies have well known biases related to non-randomized designs, uncontrolled data collection and failure to adjust for unrecognized influential variables. Such low-quality science should not be the basis for a national mandate compelling care for a rapidly lethal disease with a high mortality rate. Instead, SEP-1 should be based on high quality reproducible evidence from randomized controlled trials (RCT) demonstrating its benefit and thereby safety. Otherwise we risk not only doing harm but standardizing it.
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Affiliation(s)
- Jeffrey Wang
- Critical Care Medicine Department, Clinical Center, National Institutes of Health, Bethesda, MD, USA
| | - Jeffrey R Strich
- Critical Care Medicine Department, Clinical Center, National Institutes of Health, Bethesda, MD, USA
| | - Willard N Applefeld
- Critical Care Medicine Department, Clinical Center, National Institutes of Health, Bethesda, MD, USA
| | - Junfeng Sun
- Critical Care Medicine Department, Clinical Center, National Institutes of Health, Bethesda, MD, USA
| | - Xizhong Cui
- Critical Care Medicine Department, Clinical Center, National Institutes of Health, Bethesda, MD, USA
| | - Charles Natanson
- Critical Care Medicine Department, Clinical Center, National Institutes of Health, Bethesda, MD, USA
| | - Peter Q Eichacker
- Critical Care Medicine Department, Clinical Center, National Institutes of Health, Bethesda, MD, USA
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9
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Wardi G, Joel I, Villar J, Lava M, Gross E, Tolia V, Seethala RR, Owens RL, Sell RE, Montesi SB, Rahaghi FN, Bose S, Rai A, Stevenson EK, McSparron J, Tolia V, Beitler JR. Equipoise in Appropriate Initial Volume Resuscitation for Patients in Septic Shock With Heart Failure: Results of a Multicenter Clinician Survey. J Intensive Care Med 2019; 35:1338-1345. [PMID: 31446829 DOI: 10.1177/0885066619871247] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
Abstract
PURPOSE International clinical practice guidelines call for initial volume resuscitation of at least 30 mL/kg body weight for patients with sepsis-induced hypotension or shock. Although not considered in the guidelines, preexisting cardiac dysfunction may be an important factor clinicians weigh in deciding the quantity of volume resuscitation for patients with septic shock. METHODS We conducted a multicenter survey of clinicians who routinely treat patients with sepsis to evaluate their beliefs, behaviors, knowledge, and perceived structural barriers regarding initial volume resuscitation for patients with sepsis and concomitant heart failure with reduced ejection fraction (HFrEF) <40%. Initial volume resuscitation preferences were captured as ordinal values, and additional testing for volume resuscitation preferences was performed using McNemar and Wilcoxon signed rank tests as indicated. Univariable logistic regression models were used to identify significant predictors of ≥30 mL/kg fluid administration. RESULTS A total of 317 clinicians at 9 US hospitals completed the survey (response rate 47.3%). Most respondents were specialists in either internal medicine or emergency medicine. Substantial heterogeneity was found regarding sepsis resuscitation preferences for patients with concomitant HFrEF. The belief that patients with septic shock and HFrEF should be exempt from current sepsis bundle initiatives was shared by 39.4% of respondents. A minimum fluid challenge of ∼30 mL/kg or more was deemed appropriate in septic shock by only 56.4% of respondents for patients with concomitant HFrEF, compared to 89.1% of respondents for patients without HFrEF (P < .01). Emergency medicine physicians were most likely to feel that <30 mL/kg was most appropriate in patients with septic shock and HFrEF. CONCLUSIONS Clinical equipoise exists regarding initial volume resuscitation for patients with sepsis-induced hypotension or shock and concomitant HFrEF. Future studies and clinical practice guidelines should explicitly address resuscitation in this subpopulation.
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Affiliation(s)
- Gabriel Wardi
- Department of Emergency Medicine, 8784University of California, San Diego, CA, USA
- Division of Pulmonary, Critical Care, and Sleep Medicine, 8784University of California, San Diego, CA, USA
| | - Ian Joel
- Division of Pulmonary, Critical Care, and Sleep Medicine, 8784University of California, San Diego, CA, USA
| | - Julian Villar
- Department of Emergency Medicine, Kaiser Oakland, CA, USA
| | - Michael Lava
- 194441Wellstar Medical Group Pulmonary Medicine, Marietta, GA, USA
| | - Eric Gross
- Department of Emergency Medicine, 8784University of California, Davis, CA, USA
| | - Vaishal Tolia
- Department of Emergency Medicine, 8784University of California, San Diego, CA, USA
| | - Raghu R Seethala
- Department of Emergency Medicine, 1861Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Robert L Owens
- Division of Pulmonary, Critical Care, and Sleep Medicine, 8784University of California, San Diego, CA, USA
| | - Rebecca E Sell
- Division of Pulmonary, Critical Care, and Sleep Medicine, 8784University of California, San Diego, CA, USA
| | - Sydney B Montesi
- Division of Pulmonary and Critical Care Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Farbod N Rahaghi
- Division of Pulmonary and Critical Care Medicine, 1861Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Somnath Bose
- Department of Anesthesia, Critical Care, and Pain Medicine, 1859Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | - Ashish Rai
- Department of Pulmonary, Critical Care, and Sleep Medicine, 25218North Shore Medical Center, MA, USA
| | - Elizabeth K Stevenson
- Department of Pulmonary, Critical Care, and Sleep Medicine, 25218North Shore Medical Center, MA, USA
| | - Jakob McSparron
- Division of Pulmonary and Critical Care Medicine, 1259University of Michigan, Ann Arbor, MI, USA
| | - Vaishal Tolia
- Department of Emergency Medicine, 8784University of California, San Diego, CA, USA
| | - Jeremy R Beitler
- Center for Acute Respiratory Failure and Division of Pulmonary, Allergy, and Critical Care Medicine, 5798Columbia University, New York, NY
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