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Prognostic Indices for Older Adults: A Systematic Review
Open accessAbstract
CONTEXT: To better target services to those who may benefit, many guidelines recommend incorporating life expectancy into clinical decisions. OBJECTIVE: To assess the quality and limitations of prognostic indices for mortality in older adults through systematic review. DATA SOURCES: We searched MEDLINE, EMBASE, Cochrane, and Google Scholar from their inception through November 2011. STUDY SELECTION: We included indices if they were validated and predicted absolute risk of mortality in patients whose average age was 60 years or older. We excluded indices that estimated intensive care unit, disease-specific, or in-hospital mortality. DATA EXTRACTION: For each prognostic index, we extracted data on clinical setting, potential for bias, generalizability, and accuracy. RESULTS: We reviewed 21,593 titles to identify 16 indices that predict risk of mortality from 6 months to 5 years for older adults in a variety of clinical settings: the community (6 indices), nursing home (2 indices), and hospital (8 indices). At least 1 measure of transportability (the index is accurate in more than 1 population) was tested for all but 3 indices. By our measures, no study was free from potential bias. Although 13 indices had C statistics of 0.70 or greater, none of the indices had C statistics of 0.90 or greater. Only 2 indices were independently validated by investigators who were not involved in the index's development. CONCLUSION: We identified several indices for predicting overall mortality in different patient groups; future studies need to independently test their accuracy in heterogeneous populations and their ability to improve clinical outcomes before their widespread use can be recommended.
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“Mortality prediction models that account for variables such as comorbidities and functional status can serve as the basis for making more refined life expectancy estimates107–109.”
From Diabetes in Older Adults: A Consensus Report (2012) · cites this paper as [107]
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Self-citationThyroid Hormones as Predictors of Short- and Long-term Mortality in Very Old Hospitalized Patients
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BackgroundPrognostication in Serious Illness
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Self-citationDying to Know: Prognosis Communication in Heart Failure
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“La supervivencia media fue de 726,984 días (DS 16,01; IC 95% [695,6-758,36]), en el análisis por terciles de riesgo para el primer tercil de 743,69 (DS 19,74; IC 95% [704,98-782,39]), en el segundo tercil de 741,407 (DS 23,4; IC 95% [695,52-787,29]) y en el tercer tercil de 683,31 (DS 29,27 [IC 95% 695,60-758,37]) con…”
BackgroundPalliative Care of Cancer in the Older Patient
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“Second, many existing algorithms developed for older adults living in the community predict relatively long survival times (eg, up to 10 years).(8) 11 12 Long-term predictions have limited application in immediate care planning, especially for home care recipients who may be in their final months of life.”
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MethodTriage Procedures for Critical Care Resource Allocation During Scarcity
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BackgroundAdaptation and Initial Validation of Minimum Data Set (MDS) Mortality Risk Index to MDS Version 3.0
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“Model discrimination was determined by the following AUC metrics: .50–.59 indicates poor, .60–.69 indicates moderate, .70–.79 indicates good, .80–.89 indicates very good, and .90 or greater indicates excellent discrimination (Yourman et al., 2012).”
InfluentialThe sentinel hospitalization and the role of palliative care
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“such as mortality [38] and prolonged hospitalisation [51].”
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“Multidimensional Prognostic Index is derived from information on health, functional, cognitive, and nutritional domains, as well as cohabitation status, using standardized and extensively validated rating assessment tools that are often well known and routinely used by clinicians (3).”
BackgroundMethodPalliative Care in Older Patients with Cancer
Balducci, L., Dolan, D. E., & Hoffe, S. E. (2015) · Cancer Control · doi:10.1177/107327481502200414 · Cited by 23
CRONIGAL: Prognostic index for chronic patients after hospital admission
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“edu/).[4] The ePrognosis tools were designed for older adults without severe illnesses, such as cancer, and are validated in community-dwelling, nursing-home, or hospitalized older individuals.”
Zhu, Y., Du, M., Li, P., Lu, H., Li, A., & Xu, S. (2025) · International Journal of Implant Dentistry · doi:10.1186/s40729-025-00590-1 · Cited by 29
Risk Factors for Mortality in Nursing Home Residents: An Observational Study
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“The medical complexity and workload involved in managing various health maintenance tasks and coordinating care between multiple providers can be substantial and overwhelming for patients, especially during transitions to serious illness.(12) This complexity has particularly significant effects among older adults with…”
BackgroundOrlović, M., Droney, J., Vickerstaff, V., Rosling, J., Bearne, A., Powell, M. A., Riley, J. L., McFarlane, P. G., Koffman, J., & Stone, P. C. (2023) · BMC Palliative Care · doi:10.1186/s12904-023-01155-y · Cited by 22
“Whilst prognostic models vary in levels of sophistication [29], despite its central importance, clinicians are rarely trained for prognostication [30].”
BackgroundPoint: Care of potential low-risk basal cell carcinomas (BCCs) at the end of life
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Díez‐Manglano, J., García, J. L. C., Calvo, E. G.-A., Sáinz, A. J., Beguería, E. C., Martínez-Álvarez, R., Bejarano-Tello, E., & Martínez, A. C. (2015) · Internal and Emergency Medicine · doi:10.1007/s11739-015-1252-2 · Cited by 22
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Risch, M., Nydegger, U. E., & Risch, L. (2017) · Medicine · doi:10.1097/md.0000000000005726 · Cited by 22
“In this age group, a life expectancy >3 years can be considered as a long-term life expectancy.([42,43]) Based on the difficulties in performing a clearcut objective differentiation of health from disease in the elderly, we are convinced that long-term life expectancy in addition to perception of subjective health is…”
BackgroundImproving palliative and end-of-life care with machine learning and routine data: a rapid review
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“Prognostic indices or risk scores are frequently used to predict the probability of death for older adults from measured covariate information.(23) Three composite risk scores developed for nursing home residents using the MDS were identified in the literature.”
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Development and validation of a Medicines Comorbidity Index for older people
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“A number of prognostic indices have been modified and validated for the older population; however, their accuracy in predicting outcomes in specific populations of this age group has yet to be determined [40].”
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Response to Dr Caballero-Mora's comments
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“The literature to date supports that co-morbidities and functional impairment are the most consistent predictors of mortality and our criteria reflect this [1].”
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Performance of the Breast Cancer Risk Assessment Tool Among Women Age 75 Years and Older
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Self-citationProspective Identification of Patients at Risk for Unwarranted Variation in Treatment
Kelley, A. S., Bollens‐Lund, E., Covinsky, K. E., Skinner, J., & Morrison, R. S. (2017) · Journal of Palliative Medicine · doi:10.1089/jpm.2017.0063 · Cited by 21
Prediction of clinically relevant adverse drug events in surgical patients
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“85,86 In contrast to longer timeframes, the 100-day time-frame permitted us to examine DIALs before deaths that are more predictable.”
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Patient-centered care in geriatric cardiology
Goldwater, D. S., & WENGER, N. K. (2021) · Trends in Cardiovascular Medicine · doi:10.1016/j.tcm.2021.11.001 · Cited by 20
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“Patient features were structured into 4 groups for input into the deep-learning model: (1) embedding vectors of diagnosis codes, procedure codes, and medication codes with a dimension of (100, 32), where 100 denoted the most recent 100 codes and 32 was the dimension of embedding vectors; (2) numerical variables from l…”
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“Many other prognostic indices are available to predict all-cause mortality and to guide clinical decision-making [3,39].”
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“Efforts at prevention or disease modification require not only accurate information on modifiable risks but also the availability of valid, reliable, practical, and actionable measures of these modifiable risks so that those at risk can be identified and interventions appropriately targeted [5–8].”
BackgroundCalsina-Berna, A., Martínez-Muñoz, M., Robles, I. B., Beas, E., Sánchez, R. M., & Alentorn, X. G. B. (2018) · Journal of Palliative Medicine · doi:10.1089/jpm.2017.0339 · Cited by 19
“12 Moreover, inclusion criteria vary from study to study, with some including patients during hospitalization and others only after discharge, thus making it difficult to perform comparisons.”
InfluentialJohnston, C. B., Holleran, A., Ong, T. D., McVeigh, U., & Ames, E. (2018) · Journal of Palliative Medicine · doi:10.1089/jpm.2018.0029 · Cited by 18
The added value of health indicators to mortality predictions in old age: A systematic review
Kusumastuti, S., Rozing, M. P., Lund, R., Mortensen, E. L., & Westendorp, R. G. J. (2018) · European Journal of Internal Medicine · doi:10.1016/j.ejim.2018.06.019 · Cited by 19
Metadata
- Authors
- Yourman, L. C., Lee, S. J., Schonberg, M. A., Widera, E. W., & Smith, A. K.
- Affiliations
- University of California, San Francisco (US)
- San Francisco VA Medical Center (US)
- Beth Israel Deaconess Medical Center (US)
- Corresponding author
- Smith, Alexander K.
- Venue
- JAMA
- Publisher
- American Medical Association (AMA)
- Published
- 2012-01-11
- Volume
- 307
- Issue
- 2
- Pages
- 182
- ISSN
- 0002-9955 (ISSN-L)
- 0098-7484
- PMC
- PMC3792853
- OpenAlex
- W2025056766
- Cited by
- 736
- References
- 74
- Citations by year
- 2026: 25 · 2025: 18 · 2024: 26 · 2023: 42 · 2022: 50 · 2021: 53 · 2020: 65 · 2019: 62 · 2018: 57 · 2017: 60 · 2016: 74 · 2015: 57 · 2014: 59 · 2013: 45 · 2012: 42
- FWCI
- 31.93
- Type
- journal article
- Language
- en
- Open access
- green
- europepmc.org
- Locations
- JAMA (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institute on Aging (K23AG040772, K23AG040779, T32AG000212)
- National Center for Research Resources (UL1RR024131, KL2RR024130)
- Topics
- Health Sciences › Medicine › Geriatrics and Gerontology › Frailty in Older Adults
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Palliative Care and End-of-Life Issues
- Social Sciences › Demography › Insurance, Mortality, Demography, Risk Management
- Keywords
- prognostic score, mortality prediction, older adults, life expectancy, risk stratification, generalizability, transportability, index validation, concordance index, nursing homes, in-hospital mortality, community-dwelling older adults
- MeSH terms
- Aged, Aged, 80 and over, Decision Making, Patient Care, Humans, Life Expectancy, Middle Aged, Mortality, Predictive Value of Tests, Prognosis, Risk
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