Samir Gupta1, Jane Batt2, Jean Bourbeau3, Kenneth R Chapman4, Andrea Gershon5, John Granton6, Nathan Hambly7, Paul Hernandez8, Martin Kolb7, Sanjay Mehta9, Lisa Mielniczuk10, Steeve Provencher11, Anne L Stephenson12, John Swiston13, D Elizabeth Tullis14, Nicholas T Vozoris14, Joshua Wald7, Jason Weatherald15, Mohit Bhutani16. 1. St Michael's Hospital Unity Health Toronto, Li Ka Shing Knowledge Institute, Department of Medicine, University of Toronto, Toronto, ON, Canada. Electronic address: samir.gupta@unityhealth.to. 2. Keenan Research Center for Biomedical Science, St Michael's Hospital Unity Health Toronto, Department of Medicine, University of Toronto, Toronto, ON, Canada. 3. Research Institute of the McGill University Health Centre, McGill University, Montreal, QC, Canada. 4. Toronto General Hospital Research Institute, University of Toronto, Toronto, ON, Canada. 5. Sunnybrook Health Sciences Centre, Department of Medicine, University of Toronto, Toronto, ON, Canada. 6. Division of Respirology, Department of Medicine, University Health Network, Sinai Health System, University of Toronto, Toronto, ON, Canada. 7. Department of Medicine, Firestone Institute for Respiratory Health, St. Joseph's Healthcare, Department of Medicine, McMaster University, Hamilton, ON, Canada. 8. Department of Medicine, Dalhousie University, Halifax, NS, Canada. 9. Division of Respirology, Department of Medicine, London Health Sciences Centre, Schulich School of Medicine and Dentistry, Western University, London, ON, Canada. 10. Department of Medicine, University of Ottawa, Division of Cardiology, University of Ottawa Heart Institute, Ottawa, ON, Canada. 11. Pulmonary Hypertension Research Group, Institut universitaire de cardiologie et de pneumologie de Québec, Department of Medicine, Université Laval, Quebec City, QC, Canada. 12. Adult Cystic Fibrosis Program, St Michael's Hospital, University of Toronto, Toronto, ON, Canada. 13. Division of Respirology, Department of Medicine, University of British Columbia, Vancouver, BC, Canada. 14. St Michael's Hospital Unity Health Toronto, Li Ka Shing Knowledge Institute, Department of Medicine, University of Toronto, Toronto, ON, Canada. 15. Department of Medicine, Division of Respirology, Libin Cardiovascular Institute, University of Calgary, Calgary, AB, Canada. 16. Division of Pulmonary Medicine, Department of Medicine, University of Alberta, Edmonton, AB, Canada.
Viral pandemics can quickly overwhelm health system capacity. When a rapid increase in patients with coronavirus disease 2019 (COVID-19) led to ICU bed shortages in Northern Italy and elsewhere, clinicians were forced to make difficult ICU resource allocation decisions. Similar surges are now being seen in other parts of the world, including the United States.
What Frameworks Are Available to Support Resource Allocation Decisions?
Ethical frameworks for stewardship of scarce healthcare resources share the common dual aims of saving the most lives and maximizing gains in posttreatment length of life. However, fulfilling these goals requires clinicians to estimate both the patient’s probability of surviving the acute illness and life expectancy after the episode of critical illness. These estimations are particularly challenging in patients with underlying chronic respiratory diseases, and practical implementation frameworks are lacking.Recently, several Canadian provinces published frameworks for ICU resource allocation that feature three levels of surge planning. Each surge level provides progressively more strict exclusion criteria for ICU admission (and continued ICU care in those already receiving it), as follows:Level 1—Patients with >80% expected mortality during or in the 6 to 12 months after critical illnessLevel 2—Patients with >50% expected mortality during or in the 6 to 12 months after critical illnessLevel 3—Patients with >30% expected mortality during or in the 6 to 12 months after critical illnessTo help clinicians to approximate these predicted mortalities in patients with chronic respiratory diseases, the Canadian Thoracic Society (CTS) produced a position statement describing corresponding characteristics in COPD, pulmonary fibrosis, cystic fibrosis (CF), and pulmonary arterial hypertension (PAH). This commentary summarizes those findings in an FAQ format. The full position statement, including detailed explanations, rationale, and approach for predicting mortalities can be found online.
How Did We Estimate Predicted Mortalities in Patients With Chronic Respiratory Conditions?
Disease-based expert groups from across Canada prepared criteria for each respiratory condition independently. Criteria were informed by published survival data, and where possible, complemented by (mostly indirect) data to estimate the impact of critical illness. Accordingly, they are primarily based on expert opinion and should be individualized and supplemented with clinical judgment.Descriptions for each more severe mortality threshold supersede those in the less severe threshold, such that level 3 descriptions should practically be applied to predict >30% to 50% mortality and level 2 descriptions to predict >50% to 80% mortality.
Cystic Fibrosis
Which cystic fibrosispatients have >80% predicted mortality during or in the 6 to 12 months after critical illness (level 1)?Patients with FEV1 of <20% predicted when measured at the time of clinical stability fulfill this criterion.Which cystic fibrosispatients have >50% predicted mortality during or in the 6 to 12 months after critical illness (level 2)?Patients with FEV1 of <20% predicted when measured at the time of clinical stability also fall into this category.Which cystic fibrosispatients have >30% predicted mortality during or in the 6 to 12 months after critical illness (level 3)?Patients with FEV1 of <30% predicted when measured at the time of clinical stability are in this category.Estimates were derived from the Canadian CF Registry, which captures data on more than 99% of Canadian CF patients. Although FEV
of <20% corresponds to an approximately 50% probability of death/transplantation at 1 year (level 2), this criterion was also recommended for level 1, given the additional expected mortality impact of the critical illness itself. The level 3 cutoff was based on the fact that approximately 30% of Canadian CF patients with FEV1 of <30% will have died or received a transplant by 2 years.
Pulmonary Fibrosis
Which pulmonary fibrosispatients have >80% predicted mortality during or in the 6 to 12 months after critical illness (level 1)?This level includes patients with:FVC <50%-60%; ORDiffusing capacity of lung for carbon monoxide (Dlco) <30%-40% predicted; ORChronic supplemental oxygen use at home for >12 hours/day; OREchocardiographic evidence of pulmonary hypertension (estimated right ventricular systolic pressure >50 mm Hg)a; ORRapidly progressive diseaseb; ORHistory of acute exacerbation of ILD in the last 12 months.Which pulmonary fibrosispatients have >50% predicted mortality during or in the 6 to 12 months after critical illness (level 2)?Level 2 also comprises patients with:FVC <50%-60%; ORDlco <30%-40% predicted; ORChronic supplemental oxygen use at home for >12 hours/day; OREchocardiographic evidence of pulmonary hypertension (estimated right ventricular systolic pressure >50 mm Hg)a; ORRapidly progressive diseaseb (>10% decline in FVCover the last 6 months associated with pronounced radiographic and clinical deterioration); ORHistory of AE-ILD in the last 12 months.aProminent right ventricular dilation and hypokinesis preceding COVID-19infection should also be considered. A conservative measure of 50 mm Hg was selected, given heterogeneous and predominantly retrospective supporting evidence and high prevalence of risk factors for group 2 pulmonary hypertension in ILDpatients.b10% decline in FVC over the last 6 months associated with pronounced radiographic and clinical deterioration.Which pulmonary fibrosispatients have >30% predicted mortality during or in the 6 to 12 months after critical illness (level 3)?Patients with the following criteria fall under level 3:FVC <75%; ORDlco <55% predictedThe gender, age, physiology (GAP) prediction model is the most widely validated prognostic tool used in clinical practice. A ≥10% reduction in FVC over 6 to 12 months also predicts acute exacerbation, hospitalization, and death. Median survival after acute exacerbation of idiopathic pulmonary fibrosis (IPF; AE-IPF) is 3 to 4 months. Our criteria were derived from literature describing long-term IPF outcomes, predisposing factors, and clinical course of AE-IPF, and risk of poor outcomes after surgical lung biopsy.
,
Because we could not identify clear criteria for >50% predicted mortality (level 2), we reiterated criteria for >80% predicted mortality (level 1). Level 3 criteria were validated in the GAP model, predicting a relatively low probability of 1-year mortality.
COPD
Which COPDpatients have >80% predicted mortality during or in the 6 to 12 months after critical illness (level 1)?Patients with the following criteria fall under level 1:FEV1 <50% predicted; ANDChronic hypoxemia (Pao
2 ≤ 55 mm Hg) or chronic hypercapnia (Paco
2 > 55 mm Hg); ANDClinical frailty score (CFS) of ≥ 7.Which COPDpatients have >50% predicted mortality during or in the 6 to 12 months after critical illness (level 2)?Patients with the following conditions are considered to be in level 2:FEV1 < 50% predicted; ANDCFS ≥ 6.Which COPDpatients have >30% predicted mortality during or in the 6 to 12 months after critical illness (level 3)?Patients meeting the following criteria are considered to be in level 3:FEV1 < 50% predicted; AND≥2 hospitalizations within the last 12 months for an acute exacerbation of COPD; ANDCFS ≥ 5.We recommend against relying solely on pulmonary function and dyspnea severity (eg, modified Medical Research Council dyspnea scale) to make triage decisions. COPDpatients with documented chronic hypoxemia and hypercapnia have higher 1-year mortality.
,
A history of frequent acute exacerbations of COPD is a strong predictor of mortality.
,
The CFS is a validated measure of frailty that has been shown to predict mortality in the year after ICU admission. Accordingly, we recommend using the CFS to improve prognostication for all surge categories in COPDpatients.
PAH
Which PAH patients have >80% predicted mortality during or in the 6 to 12 months after critical illness (level 1)?PAH patients who are considered to be in level 1 include those with a high-risk profile (Registry to Evaluate Early and Long-Term Pulmonary Arterial Hypertension [REVEAL] 2.0 score ≥ 9 or high-risk European Respiratory Society/European Society of Cardiology [ESC/ERS] score) while on optimal therapy (at least two oral medications and a parenteral prostacyclin, if eligible).Which PAH patients have >50% predicted mortality during or in the 6 to 12 months after critical illness (level 2)?Patients with these conditions are considered to be in level 2:An intermediate risk profile (REVEAL 2.0 score 7-8 or intermediate-risk ESC/ERS score) while on optimal therapy; ANDAge ≥ 75 years; ANDEither a recent hospitalization for worsening PAH/right heart failure in the past 3 months or the presence of other significant comorbidities (especially chronic renal failure)Which PAH patients have >30% predicted mortality during or in the 6-12 months after critical illness (level 3)?Patients meeting the following criteria are considered to be in level 3:An intermediate-risk profile (REVEAL 2.0 score 7-8 or intermediate-risk ESC/ERS score) while on optimal therapy; ANDAge < 75 years ANDEither a recent hospitalization for worsening PAH/right heart failure in the past 3 months or the presence of other significant comorbidities (especially chronic renal failure)Poor prognostic factors in PAH include systemic sclerosis origin of PAH; older age; male sex; severe symptoms (New York Heart Association Class III-IV); reduced exercise capacity; comorbidities (eg, renal dysfunction); severe right ventricular dysfunction; and hospitalizations for right heart failure. Available risk prediction tools include the U.S. REVEAL 2.0 risk score and the ESC/ERS risk assessment tool. We supplemented mortality predictions from these tools with estimates of the effects of critical illness. Our recommendations apply only to PAH (not to pulmonary hypertension groups 2-5).Given that the pandemic is a rapidly evolving situation, the CTS plans to update this guidance as new information becomes available. We recommend monitoring the CTS website for updates.
Authors: Suchi Saria; Peter Schulam; Brian J Yeh; Daniel Burke; Sean D Mooney; Christine T Fong; Jacob E Sunshine; Dustin R Long; Vikas N O'Reilly-Shah Journal: Crit Care Explor Date: 2021-06-04