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Development of a Prognostic Model for Six-month Mortality in Older Adults with Declining Health

Overview
Publisher Elsevier
Date 2011 Nov 11
PMID 22071167
Citations 20
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Abstract

Context: Estimation of six-month prognosis is essential in hospice referral decisions, but accurate, evidence-based tools to assist in this task are lacking.

Objectives: To develop a new prognostic model, the Patient-Reported Outcome Mortality Prediction Tool (PROMPT), for six-month mortality in community-dwelling elderly patients.

Methods: We used data from the Medicare Health Outcomes Survey linked to vital status information. Respondents were 65 years old or older, with self-reported declining health over the past year (n=21,870), identified from four Medicare Health Outcomes Survey cohorts (1998-2000, 1999-2001, 2000-2002, and 2001-2003). A logistic regression model was derived to predict six-month mortality, using sociodemographic characteristics, comorbidities, and health-related quality of life (HRQOL), ascertained by measures of activities of daily living and the Medical Outcomes Study Short Form-36 Health Survey; k-fold cross-validation was used to evaluate model performance, which was compared with existing prognostic tools.

Results: The PROMPT incorporated 11 variables, including four HRQOL domains: general health perceptions, activities of daily living, social functioning, and energy/fatigue. The model demonstrated good discrimination (c-statistic=0.75) and calibration. Overall diagnostic accuracy was superior to existing tools. At cut points of 10%-70%, estimated six-month mortality risk sensitivity and specificity ranged from 0.8% to 83.4% and 51.1% to 99.9%, respectively, and positive likelihood ratios at all mortality risk cut points ≥40% exceeded 5.0. Corresponding positive and negative predictive values were 23.1%-64.1% and 85.3%-94.5%. Over 50% of patients with estimated six-month mortality risk ≥30% died within 12 months.

Conclusion: The PROMPT, a new prognostic model incorporating HRQOL, demonstrates promising performance and potential value for hospice referral decisions. More work is needed to evaluate the model.

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References
1.
Connor S, Elwert F, Spence C, Christakis N . Geographic variation in hospice use in the United States in 2002. J Pain Symptom Manage. 2007; 34(3):277-85. DOI: 10.1016/j.jpainsymman.2007.03.007. View

2.
Angus D, Barnato A, Linde-Zwirble W, Weissfeld L, Watson R, Rickert T . Use of intensive care at the end of life in the United States: an epidemiologic study. Crit Care Med. 2004; 32(3):638-43. DOI: 10.1097/01.ccm.0000114816.62331.08. View

3.
Flacker J, Kiely D . Mortality-related factors and 1-year survival in nursing home residents. J Am Geriatr Soc. 2003; 51(2):213-21. DOI: 10.1046/j.1532-5415.2003.51060.x. View

4.
Chow E, Fung K, Panzarella T, Bezjak A, Danjoux C, Tannock I . A predictive model for survival in metastatic cancer patients attending an outpatient palliative radiotherapy clinic. Int J Radiat Oncol Biol Phys. 2002; 53(5):1291-302. DOI: 10.1016/s0360-3016(02)02832-8. View

5.
Cooper J, Kohlmann T, Michael J, Haffer S, Stevic M . Health outcomes. New quality measure for Medicare. Int J Qual Health Care. 2001; 13(1):9-16. DOI: 10.1093/intqhc/13.1.9. View