The DOI matches its Crossref record; 35 of the 35 references it cites were found in a registry or an index.
The Epidemiology of Chronic Critical Illness in the United States*
Open accessAbstract
OBJECTIVES: The epidemiology of chronic critical illness is not well characterized. We sought to determine the prevalence, outcomes, and associated costs of chronic critical illness in the United States. DESIGN: Population-based cohort study using data from the United States Healthcare Costs and Utilization Project from 2004 to 2009. SETTING: Acute care hospitals in Massachusetts, North Carolina, Nebraska, New York, and Washington. PATIENTS: Adult and pediatric patients meeting a consensus-derived definition for chronic critical illness, which included one of six eligible clinical conditions (prolonged acute mechanical ventilation, tracheotomy, stroke, traumatic brain injury, sepsis, or severe wounds) plus at least 8 days in an ICU. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: Out of 3,235,741 admissions to an ICU during the study period, 246,151 (7.6%) met the consensus definition for chronic critical illness. The most common eligibility conditions were prolonged acute mechanical ventilation (72.0% of eligible admissions) and sepsis (63.7% of eligible admissions). Among patients meeting chronic critical illness criteria through sepsis, the infections were community acquired in 48.5% and hospital acquired in 51.5%. In-hospital mortality was 30.9% with little change over the study period. The overall population-based prevalence was 34.4 per 100,000. The prevalence varied substantially with age, peaking at 82.1 per 100,000 individuals 75-79 years old but then declining coincident with a rise in mortality before day 8 in otherwise eligible patients. Extrapolating to the entire United States, for 2009, we estimated a total of 380,001 cases; 107,880 in-hospital deaths and $26 billion in hospital-related costs. CONCLUSIONS: Using a consensus-based definition, the prevalence, hospital mortality, and costs of chronic critical illness are substantial. Chronic critical illness is particularly common in the elderly although in very old patients the prevalence declines, in part because of an increase in early mortality among potentially eligible patients.
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“is associated with high mortality, functional and cognitive disability, caregiver burden, and health care costs exceeding $35 billion (1, 2).”
From Effects of a Personalized Web-Based Decision Aid for Surrogate Decision Makers of Patients With Prolonged Mechanical Ventilation (2019) · cites this paper as [2]
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“Prolonged mechanical ventilation affects 400 000 U.S. patients annually”
From Effects of a Personalized Web-Based Decision Aid for Surrogate Decision Makers of Patients With Prolonged Mechanical Ventilation (2019) · cites this paper as [2]
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Cites
(2000) · New England Journal of Medicine · doi:10.1056/nejm200005043421801 · Cited by 12,941
Coding algorithms for defining comorbidities in ICD-9-CM and ICD-10 administrative data
Quan, H., Sundararajan, V., Halfon, P., Fong, A., Burnand, B., Luthi, J.-C., Saunders, L. D., Beck, C. A., Feasby, T. E., & Ghali, W. A. (2005) · Medical Care · doi:10.1097/01.mlr.0000182534.19832.83 · Cited by 10,669
Angus, D. C., Linde-Zwirble, W. T., Lidicker, J., Clermont, G., Carcillo, J., & Pinsky, M. R. (2001) · Critical Care Medicine · doi:10.1097/00003246-200107000-00002 · Cited by 8,503
Self-citationIncidence and Outcomes of Acute Lung Injury
Rubenfeld, G. D., Caldwell, E., Peabody, E., Weaver, J., Martin, D. P., Neff, M., Stern, E. J., & Hudson, L. D. (2005) · New England Journal of Medicine · doi:10.1056/nejmoa050333 · Cited by 3,684
Comparison of Two Fluid-Management Strategies in Acute Lung Injury
(2006) · New England Journal of Medicine · doi:10.1056/nejmoa062200 · Cited by 3,538
Schweickert, W. D., Pohlman, M. C., Pohlman, A. S., Nigos, C., Pawlik, A. J., Esbrook, C. L., Spears, L., Miller, M., Franczyk, M., Deprizio, D., et al. (2009) · The Lancet · doi:10.1016/s0140-6736(09)60658-9 · Cited by 3,339
A randomized trial of protocol-based care for early septic shock.
The ProCESS Investigators (2014) · New England Journal of Medicine · doi:10.1056/nejmoa1401602 · Cited by 2,414
Girard, T. D., Kress, J. P., Fuchs, B. D., Thomason, J. W. W., Schweickert, W. D., Pun, B. T., Taichman, D. B., Dunn, J., Pohlman, A. S., Kinniry, P. A., et al. (2008) · The Lancet · doi:10.1016/s0140-6736(08)60105-1 · Cited by 2,051
Increasing Incidence of Withholding and Withdrawal of Life Support From the Critically Ill
Prendergast, T. J., & Luce, J. M. (1997) · American Journal of Respiratory and Critical Care Medicine · doi:10.1164/ajrccm.155.1.9001282 · Cited by 726
Nelson, J. E., Cox, C. E., Hope, A. A., & Carson, S. S. (2010) · American Journal of Respiratory and Critical Care Medicine · doi:10.1164/rccm.201002-0210ci · Cited by 616
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The immune system’s role in sepsis progression, resolution, and long-term outcome
Delano, M. J., & Ward, P. A. (2016) · Immunological Reviews · doi:10.1111/imr.12499 · Cited by 880
Mechanical Ventilation–induced Diaphragm Atrophy Strongly Impacts Clinical Outcomes
Goligher, E. C., Dres, M., Fan, E., Rubenfeld, G. D., Scales, D. C., Herridge, M. S., Vorona, S., Sklar, M. C., Rittayamai, N., Lanys, A., et al. (2017) · American Journal of Respiratory and Critical Care Medicine · doi:10.1164/rccm.201703-0536oc · Cited by 825
Sepsis-induced immune dysfunction: can immune therapies reduce mortality?
Delano, M. J., & Ward, P. A. (2016) · Journal of Clinical Investigation · doi:10.1172/jci82224 · Cited by 676
Mira, J. C., Gentile, L. F., Mathias, B. J., Efron, P. A., Brakenridge, S. C., Mohr, A. M., Moore, F. A., & Moldawer, L. L. (2017) · Critical Care Medicine · doi:10.1097/ccm.0000000000002074 · Cited by 526
Outcomes after Critical Illness
Herridge, M. S., & Azoulay, É. (2023) · New England Journal of Medicine · doi:10.1056/nejmra2104669 · Cited by 398
Metadata
- Authors
- Kahn, J. M., Le, T., Angus, D. C., Cox, C. E., Hough, C. L., White, D. B., Yende, S., & Carson, S. S.
- Affiliations
- University of North Carolina at Chapel Hill (US)
- University of Pittsburgh (US)
- Duke University (US)
- University of Washington (US)
- ORCID
- Venue
- Critical Care Medicine
- Published
- 2015-02
- Volume
- 43
- Issue
- 2
- Pages
- 282-287
- ISSN
- 0090-3493 (ISSN-L)
- PMC
- PMC7901538
- OpenAlex
- W2063094401
- Cited by
- 420
- References
- 32
- Citations by year
- 2026: 33 · 2025: 33 · 2024: 38 · 2023: 40 · 2022: 42 · 2021: 45 · 2020: 39 · 2019: 42 · 2018: 21 · 2017: 36 · 2016: 30 · 2015: 21
- FWCI
- 21.91
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Critical Care Medicine (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Heart, Lung, and Blood Institute (R01HL096651)
- Topics
- Health Sciences › Medicine › Critical Care and Intensive Care Medicine › Sepsis Diagnosis and Treatment
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Global Health and Epidemiology
- Health Sciences › Medicine › Critical Care and Intensive Care Medicine › Nosocomial Infections in ICU
- Keywords
- chronic critical illness, prolonged mechanical ventilation, sepsis, intensive care unit admission, prevalence, in-hospital mortality, health care costs, community-acquired infections, nosocomial infections, elderly patients, pediatric patients, acute respiratory failure, traumatic brain injury, stroke
- MeSH terms
- Adolescent, Adult, Aged, Aged, 80 and over, Child, Child, Preschool, Chronic Disease, Costs and Cost Analysis, Cross Infection, Female, Hospital Bed Capacity, Humans, Infant, Intensive Care Units, Length of Stay, Long-Term Care, Male, Middle Aged, Respiration, Artificial, United States, Prevalence, Critical Illness, Treatment Outcome, Hospital Mortality, Age Distribution, Sex Distribution, Community-Acquired Infections, Sepsis, Young Adult
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