Cited by 737Frailty in Older AdultsPalliative Care and End-of-Life IssuesInsurance, Mortality, Demography, Risk Management

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Prognostic Indices for Older Adults: A Systematic Review

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Yourman, Lindsey C., Lee, Sei J., Schonberg, Mara A., Widera, Eric W., Smith, Alexander K.·2012·JAMA

DOI 10.1001/jama.2011.1966PMC PMC3792853

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Abstract

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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A new method of classifying prognostic comorbidity in longitudinal studies: Development and validation
Charlson, M. E., Pompei, P., Ales, K. L., & MacKenzie, C. R. (1987) · Journal of Chronic Diseases · doi:10.1016/0021-9681(87)90171-8 · Cited by 49,742
The meaning and use of the area under a receiver operating characteristic (ROC) curve.
Hanley, J. A., & McNeil, B. J. (1982) · Radiology · doi:10.1148/radiology.143.1.7063747 · Cited by 21,856
Comorbidity measures for use with administrative data.
Elixhauser, A., Steiner, C., Harris, D. R., & Coffey, R. M. (1998) · Medical Care · doi:10.1097/00005650-199801000-00004 · Cited by 9,921
Assessing the Performance of Prediction Models: A Framework for Traditional and Novel Measures
Steyerberg, E. W., Vickers, A. J., Cook, N. R., Gerds, T., Gonen, M., Obuchowski, N., Pencina, M. J., & Kattan, M. W. (2010) · Epidemiology · doi:10.1097/ede.0b013e3181c30fb2 · Cited by 5,170
The TIMI Risk Score for Unstable Angina/Non–ST Elevation MI
Antman, E. M., Cohen, M. C., Bernink, P. J. L. M., McCabe, C. H., Horacek, T., Papuchis, G., Mautner, B., Corbalán, R., Radley, D. R., & Braunwald, E. (2000) · JAMA · doi:10.1001/jama.284.7.835 · Cited by 3,221
Treatment of hypertension in patients 80 years of age or older
Beckett, N. S., Peters, R., Fletcher, A. E., Staessen, J. A., Liu, L., Dumitrascu, D., Stoyanovsky, V., Antikainen, R. L., Nikitin, Y., Anderson, C., et al. (2008) · New England Journal of Medicine · doi:10.1056/nejmoa0801369 · Cited by 3,092
A modification of the elixhauser comorbidity measures into a point system for hospital death using administrative data
van Walraven, C., Austin, P. C., Jennings, A., Quan, H., & Forster, A. J. (2009) · Medical Care · doi:10.1097/mlr.0b013e31819432e5 · Cited by 2,200
Validation of the Framingham Coronary Heart Disease Prediction Scores: Results of a Multiple Ethnic Groups Investigation
D'Agostino, R. B., Grundy, S., Sullivan, L. M., Wilson, P., & for the CHD Risk Prediction Group (2001) · JAMA · doi:10.1001/jama.286.2.180 · Cited by 2,108
Presentation adapting a clinical comorbidity index for use with ICD-9-CM administrative data: Differing perspectives
Romano, P. S., Roos, L. L., & Jollis, J. G. (1993) · Journal of Clinical Epidemiology · doi:10.1016/0895-4356(93)90103-8 · Cited by 1,717
Evaluation of the Quality of Prognosis Studies in Systematic Reviews
Hayden, J. A., Côté, P., & Bombardier, C. (2006) · Annals of Internal Medicine · doi:10.7326/0003-4819-144-6-200603210-00010 · Cited by 1,452

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[7]Laupacis A Sekar N Stiell IG Clinical prediction rules. A review and suggested modifications of methodological standards JAMA 1997 277 6 488 494 9020274
[51]Einhorn HJ Hogarth RM Bell DE Raiffa H Tversky A Behavioral decision theory: process of judgement and choice Decision-Making: Descriptive, Normative, and Prescriptive Interactions Cambridge, MA Cambridge University Press 1988 113 146

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“It was developed and validated in hospitalized [12] and community-dwelling [13] older people showing good discrimination and excellent calibration [14, 15].”
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2014 AHA/ACC Guideline for the Management of Patients With Non-ST-Elevation Acute Coronary Syndromes: Executive Summary A Report of the American College of Cardiology/American Heart Association Task Force on Practice Guidelines Developed in Collaboration With the Society for Cardiovascular Angiography and Interventions and the Society of Thoracic Surgeons Endorsed by the American Association for Clinical Chemistry WRITING COMMITTEE MEMBERS*
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Sánchez-Nadales, A., Igbinomwanhia, E., Grimm, R. A., Griffin, B. P., Kapadia, S. R., & Xu, B. (2023) · Current Problems in Cardiology · doi:10.1016/j.cpcardiol.2023.101993 · Cited by 6
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Denson, A. C., Burke, N., Wapinsky, G., Bertels, B., Juan, T., Lee, J. C., Springett, G. M., Strosberg, J., Kim, R. D., Sullivan, D. M., et al. (2015) · American Journal of Clinical Oncology · doi:10.1097/coc.0000000000000242 · Cited by 6
Advance Care Planning: Just Do It!
Steinberg, K. E. (2014) · Journal of the American Medical Directors Association · doi:10.1016/j.jamda.2014.04.016 · Cited by 6
Multiparameter approach to evaluate elderly patients undergoing aortic valve replacement
Gallo, M., & Gerosa, G. (2014) · Journal of Thoracic and Cardiovascular Surgery · doi:10.1016/j.jtcvs.2014.03.051 · Cited by 6
The role of adjuvant radiation treatment in older women with early breast cancer
VanderWalde, N. A., Hebert, B., Jones, E. L., & Muss, H. B. (2013) · Journal of Geriatric Oncology · doi:10.1016/j.jgo.2013.05.006 · Cited by 6
“A recent review defined the value of several available scales for estimating survival in community dwellers, nursing home patients and hospitalized patients.(21) Two indices seemed to have a stronger correlation with actual mortality over 4–5 years in community dwellers.”
Background
Short- and longer-term predictive capacity of the Multidimensional Prognostic Index: The timing of the assessment is of no consequence
Luca, E. D., Perissinotto, E., Fabris, L., Pengo, V., Zurlo, A., Toni, P. D., Zaiacomo, F. D., Manzato, E., & Giantin, V. (2015) · Archives of Gerontology and Geriatrics · doi:10.1016/j.archger.2015.07.004 · Cited by 6
The aging human recipient of transfusion products
Nydegger, U. E., Luginbühl, M., & Risch, M. (2015) · Transfusion and Apheresis Science · doi:10.1016/j.transci.2015.04.009 · Cited by 6
“iron might be eased by multidimensional assessment and prognosis [43,44].”
Adjuvant chemotherapy in elderly patients with breast cancer: key challenges
Ponde, N. F., Lago, L. D., & Azim, H. A. (2016) · Expert Review of Anticancer Therapy · doi:10.1586/14737140.2016.1170595 · Cited by 6
“Most of them combine comorbidity, age, and functionality to predict risk of death in a variety of settings [69].”
Background
Decision support in healthcare: determining provider influence on treatment outcomes with robust risk adjustment
Feuerriegel, S. (2016) · Journal of Decision System · doi:10.1080/12460125.2016.1187553 · Cited by 6
“…made significant efforts to predict mortality and readmissions (e.g. Bardhan et al., 2015; Hosseinzadeh, Izadi, Verma, Precup, & Buckeridge, 2013; Mainous & Talbert, 1998; Makar, ghassemi, Cutler, & Obermeyer, 2015; NCQA, 2015; Yourman, Lee, Schonberg Widera, & Smith, 2012; Zaslavsky et al., 2000).”
Method
Post-Stroke Cancer Risk among Postmenopausal Women: The Women's Health Initiative
Sealy-Jefferson, S. M., Coté, M. L., Chlebowski, R. T., Rexrode, K. M., & Simon, M. S. (2017) · Women s Health Issues · doi:10.1016/j.whi.2017.10.012 · Cited by 6
Eliminating the Surprise Question Leaves Home Care Providers With Few Options for Identifying Mortality Risk
Sullivan, S. S., Casucci, S., & Li, C. (2019) · American Journal of Hospice and Palliative Medicine® · doi:10.1177/1049909119892830 · Cited by 6
Development and validation of a predictive index of elder self-neglect risk among a Chinese population
Wang, B., Hua, Y., & Dong, X. (2020) · Aging & Mental Health · doi:10.1080/13607863.2020.1758903 · Cited by 6
“90 or greater indicate moderate, good, very good, and excellent discrimination (Steyerberg et al., 2010; Yourman et al., 2012).”
BackgroundInfluential
Early DNR Order and Long-Term Prognosis Among Patients Hospitalized for Acute Heart Failure: Single-Center Cohort Study in Japan
Hiraoka, E., Arai, J., Kojima, S., Norisue, Y., Suzuki, T., Homma, Y., Takahashi, O., Obunai, K., & Watanabe, H. (2020) · International Journal of General Medicine · doi:10.2147/ijgm.s252651 · Cited by 6
A data-driven medication score predicts 10-year mortality among aging adults
Häppölä, P., Havulinna, A. S., Tasa, T., Mars, N., Perola, M., Kallela, M., Milani, L. A., Koskinen, S., Salomaa, V. V., Neale, B. M., et al. (2020) · Scientific Reports · doi:10.1038/s41598-020-72045-z · Cited by 6
Development and validation of multivariable mortality risk-prediction models in older people undergoing an interRAI home-care assessment (RiskOP)
Pickering, J. W., Abey‐Nesbit, R., Allore, H. G., & Jamieson, H. A. (2020) · EClinicalMedicine · doi:10.1016/j.eclinm.2020.100614 · Cited by 6
“More recently studies have used variables from a comprehensive range of health data to create scores that predict mortality [7,8].”
Background
Estimating Prognosis and Frailty in Persons Aged ≥75 Years in the Emergency Department: Further Validation of Dynamic Silver Code
Bari, M. D., Giordano, A., Tonarelli, F., Carreras, G., Grifoni, S., Benvenuti, E., Ruggiano, G., Lazzari, B., Ungar, A., & Balzi, D. (2021) · Journal of the American Medical Directors Association · doi:10.1016/j.jamda.2021.05.024 · Cited by 6
What Should We Recommend for Colorectal Cancer Screening in Adults Aged 75 and Older?
Arora, A., Chadi, S. A., & Chesney, T. R. (2021) · Current Oncology · doi:10.3390/curroncol28040231 · Cited by 6
The Evolving Complexity of Treating Hormone Receptor-Positive, Human Epidermal Growth Factor Receptor-2 (HER2)-Negative Breast Cancer: Special Considerations in Older Breast Cancer Patients—Part I: Early-Stage Disease
Sammons, S. L., Sedrak, M. S., & Kimmick, G. G. (2020) · Drugs & Aging · doi:10.1007/s40266-020-00748-z · Cited by 6
“edu/ calcu lator s/#/) compiles several extant tools to estimate life expectancy [72].”
Background
Cancer Screening in Older Adults
Snyder, A. H., Magnuson, A. M., & Westcott, A. M. (2016) · Medical Clinics of North America · doi:10.1016/j.mcna.2016.04.016 · Cited by 6
“Several other prognostic indices for life expectancy exist and include measures for unique patient populations and disease groups as well.(19)”
Background
Multidimensional assessment of patient condition and mutational analysis in peripheral blood, as tools to improve outcome prediction in myelodysplastic syndromes: A prospective study of the Spanish MDS group
Ramos, F., Robledo, C., Pereira, A., Pedro, C., Benito, R., de Paz, R., Rey, M. D., Insunza, A., Tormo, M., Díez‐Campelo, M., et al. (2017) · American Journal of Hematology · doi:10.1002/ajh.24813 · Cited by 6
Prognostic value for mortality of the new FADOI-COMPLIMED score(s) in patients hospitalized in medical wards
Nardi, R., Nozzoli, C., Berti, F., Bonizzoni, E., Fabbri, L. M., Frasson, S., Gambacorta, M., Martini, M., Mazzone, A., Muzzulini, C. L., et al. (2019) · PLoS ONE · doi:10.1371/journal.pone.0219767 · Cited by 6
Impact of chronic diseases on effect of breast cancer screening
Beau, A., Napolitano, G. M., Ewertz, M., Vejborg, I., Schwartz, W., Andersen, P. K., & Lynge, E. (2020) · Cancer Medicine · doi:10.1002/cam4.3036 · Cited by 6
Improving the American Diabetes Association Framework for individualizing treatment in older adults: evaluating life expectancy
Lee, A. K., Steinman, M. A., & Lee, S. J. (2020) · BMJ Open Diabetes Research & Care · doi:10.1136/bmjdrc-2020-001624 · Cited by 5
Self-citation
The prognostic value of the NECPAL instrument, Palliative Prognostic Index, and PROFUND index in elderly residents of nursing homes with advanced chronic condition
Esteban‐Burgos, A. A., Hueso‐Montoro, C., Mota‐Romero, E., Montoya‐Juárez, R., Gómez‐Batiste, X., & García‐Caro, M. P. (2023) · BMC Geriatrics · doi:10.1186/s12877-023-04409-9 · Cited by 5
Factors associated with adverse events and three-year survival following endoscopic submucosal dissection for early gastric cancer in patients aged 85 years or older
Yoshikawa, T., Utsumi, T., Inoue, T., Agatsuma, N., Tanaka, Y., Yabuuchi, Y., Araki, O., Murai, K., Tochio, T., Kumagai, K., et al. (2025) · Surgical Endoscopy · doi:10.1007/s00464-025-12361-5 · Cited by 5
A stepwise guide for healthcare professionals requesting compassionate release for patients who are incarcerated
Kanbergs, A. N., Garcia-Grossman, I. R., Ahalt, C., DiTomas, M., Bedard, R., & Williams, B. A. (2022) · International Journal of Prisoner Health · doi:10.1108/ijph-09-2021-0095 · Cited by 5
Intercontinental validation of a clinical prediction model for predicting 90-day and 2-year mortality in an Israeli cohort of 2033 patients with a femoral neck fracture aged 65 or above
Oosterhoff, J. H. F., Karhade, A. V., Groot, O. Q., Schwab, J. H., Heng, M. M., Klang, E., & Prat, D. (2023) · European Journal of Trauma and Emergency Surgery · doi:10.1007/s00068-023-02237-5 · Cited by 5
“1 3 management based on prognosis are essential to guide clinical decision-making and effective healthcare services [5, 6].”
Background
Risk prediction models for adverse drug reactions and adverse drug events in older adults—a systematic review and meta-analysis
Cosgrave, N., Saleh, S., Ong, W. S., Frydenlund, J., Williams, D. J., & Cahir, C. (2024) · European Journal of Clinical Pharmacology · doi:10.1007/s00228-024-03774-7 · Cited by 5
Predicting Life Expectancy to Target Cancer Screening Using Electronic Health Record Clinical Data
Lee, A. K., Jing, B., Jeon, S. Y., Boscardin, W. J., & Lee, S. J. (2021) · Journal of General Internal Medicine · doi:10.1007/s11606-021-07018-7 · Cited by 5
Self-citation
Frequency and Risk Factors of Re-hospitalization in Geriatric Inpatient Wards: A Multicenter Retrospective Analysis
Koçak, F. Ö. K., Sahin, S., Taşkıran, E., Simsek, H., Daylan, A., Arman, P., Dikmeer, A., Kılıc, F., Balci, C., Tasar, P. T., et al. (2022) · Experimental Aging Research · doi:10.1080/0361073x.2022.2041323 · Cited by 5
Development and validation of a new prognostic index for mortality risk in multimorbid adults
Gastens, V., Chioléro, A., Anker, D., Schneider, C., Feller, M., Bauer, D. C., Rodondi, N., & Giovane, C. D. (2022) · PLoS ONE · doi:10.1371/journal.pone.0271923 · Cited by 6
“have identified 16 mortality prognostic indices for older adults [8].”
BackgroundMethod
Wrist accelerometer temporal analysis as a prognostic tool for aged care residents: A sub‐study of the ReMInDAR trial
Andrade, A. Q. D., Lim, R., Kelly, T., Parfitt, G., Pratt, N. L., & Roughead, E. E. (2022) · Journal of the American Geriatrics Society · doi:10.1111/jgs.18181 · Cited by 5
Facing uncertainty - Pilot testing of a palliative prognostic index training with hospital aged care assessment teams
Gerber, K., Bloomer, M. J., Hayes, B. J., Lee, C. Y., Lock, K., Bodna, K., & Yates, P. A. (2023) · Geriatric Nursing · doi:10.1016/j.gerinurse.2023.09.014 · Cited by 5
Demenz im Akutkrankenhaus
Hofmann, W. E. (2016) · DNP - Der Neurologe und Psychiater · doi:10.1007/s15202-016-1279-x · Cited by 5
Patient-Centered Surgical Decision Making
Chesney, T. R., & Schwarze, M. L. (2017) · Springer eBooks · doi:10.1007/978-3-319-20317-1_6-1 · Cited by 5
Overcoming Inertia: an Exercise in Clinical Reasoning
Loewenthal, J., Javedan, H., & Schwartz, A. W. (2020) · Journal of General Internal Medicine · doi:10.1007/s11606-020-05928-6 · Cited by 5
Multidimensional prognostic index (MPI) predicts successful application for disability social benefits in older people
Senesi, B., Prete, C., Siri, G., Pinna, A., Giorgeschi, A., Veronese, N., Sulpasso, R., Sabbà, C., & Pilotto, A. (2020) · Aging Clinical and Experimental Research · doi:10.1007/s40520-020-01694-x · Cited by 5
A Novel Score for mHealth Apps to Predict and Prevent Mortality: Further Validation and Adaptation to the US Population Using the US National Health and Nutrition Examination Survey Data Set
Elnakib, S., Vecino-Ortiz, A. I., Gibson, D. G., Agarwal, S., Trujillo, A. J., Zhu, Y., & Labrique, A. B. (2022) · Journal of Medical Internet Research · doi:10.2196/36787 · Cited by 5
“In addition, most prognostic indices have primarily focused on predicting short-term mortality among older adults and high-risk individuals, whereas fewer indices have focused on prognostic health assessment of the general population [11-16].”
Background
A multicenter prospective study validated a nomogram to predict individual risk of dependence in ambulation after rehabilitation
Bernardini, B., Baratto, L., Pizzi, C., Biggeri, A., Cerina, G., Colantonio, V., Corsini, C., Ghirmai, S., Pagani, M., Fracchia, S., et al. (2022) · Journal of Clinical Epidemiology · doi:10.1016/j.jclinepi.2022.10.021 · Cited by 5
Cancer de la personne âgée : rechercher, évaluer et prendre en charge le déclin cognitif
Antoine, V., Courtial, M., de Wazières, B., Castri, A. D., Duvjnak, S., Geronimi-Robelin, L., Labarias, C., Guillou, C. L., Martin-Allier, A., Matelot, D., et al. (2018) · Bulletin du Cancer · doi:10.1016/j.bulcan.2018.04.006 · Cited by 5
Development and validation of a life expectancy estimator for multimorbid older adults: a cohort study protocol
Gastens, V., Giovane, C. D., Anker, D., Feller, M., Syrogiannouli, L., Schwab, N., Bauer, D. C., Rodondi, N., & Chioléro, A. (2021) · BMJ Open · doi:10.1136/bmjopen-2020-048168 · Cited by 5
Can the Electronic Health Record Identify Vulnerable Older Adults in Need of a Palliative Care Assessment in the Hospital Setting?
Hocker, J. D., Khan, A., Singh, M., Hook, M. L., Simpson, M., Malsch, A., Vollbrecht, M., & Malone, M. L. (2015) · Journal of the American Geriatrics Society · doi:10.1111/jgs.13547 · Cited by 5
“Although several prognostication indices that address all-cause mortality have been developed for use in elderly inpatients, none have been integrated into the electronic health record (EHR) to automatically identify high-risk individuals and used during interdisciplinary team rounds to identify vulnerable hospitalize…”
Background
Selecting the Best Candidates for Lung Cancer Screening
Caverly, T. J. (2015) · JAMA Internal Medicine · doi:10.1001/jamainternmed.2015.1235 · Cited by 5

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.
ORCID: Yourman, Lindsey C.
Lee, Sei J.
Schonberg, Mara A.
Widera, Eric W.
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
DOI: 10.1001/jama.2011.1966
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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Prognostic Indices for Older Adults: A Systematic Review

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