Abstract:
PURPOSE:De-implementation of low-value services among patients with limited life expectancy is challenging. Robust mortality prediction models using routinely collected health care data can enhance health care stakeholders' ability to identify populations with limited life expectancy. We developed and validated a claims-based prediction model for 5-year mortality using regularized regression methods. METHODS:Medicare beneficiaries age 66 or older with an office visit and at least 12 months of pre-visit continuous Medicare A/B enrollment were identified in 2008. Five-year mortality was assessed through 2013. Secondary outcomes included 30-, 90-, and 180-day and 1-year mortality. Claims-based predictors, including comorbidities and indicators of disability, frailty, and functional impairment, were selected using regularized logistic regression, applying the least absolute shrinkage and selection operator (LASSO) in a random 80% training sample. Model performance was assessed and compared with the Gagne comorbidity score in the 20% validation sample. RESULTS:Overall, 183 204 (24%) individuals died. In addition to demographics, 161 indicators of comorbidity and function were included in the final model. In the validation sample, the c-statistic was 0.825 (0.823-0.828). Median-predicted probability of 5-year mortality was 14%; almost 4% of the cohort had a predicted probability greater than 80%. Compared with the Gagne score, the LASSO model led to improved 5-year mortality classification (net reclassification index = 9.9%; integrated discrimination index = 5.2%). CONCLUSIONS:Our claims-based model predicting 5-year mortality showed excellent discrimination and calibration, similar to the Gagne score model, but resulted in improved mortality classification. Regularized regression is a feasible approach for developing prediction tools that could enhance health care research and evaluation of care quality.
journal_name
Pharmacoepidemiol Drug Safjournal_title
Pharmacoepidemiology and drug safetyauthors
Lund JL,Kuo TM,Brookhart MA,Meyer AM,Dalton AF,Kistler CE,Wheeler SB,Lewis CLdoi
10.1002/pds.4769subject
Has Abstractpub_date
2019-05-01 00:00:00pages
584-592issue
5eissn
1053-8569issn
1099-1557journal_volume
28pub_type
杂志文章abstract:PURPOSE:This study aims to examine the associations between proton pump inhibitors (PPIs), traditional nonsteroidal anti-inflammatory drugs (tNSAIDs), PPI + tNSAID co-exposure, and the development of the following: (i) acute interstitial nephritis (AIN), a specific kidney injury often attributed to these drugs, and (ii...
journal_title:Pharmacoepidemiology and drug safety
pub_type: 杂志文章
doi:10.1002/pds.3329
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abstract:OBJECTIVE:We examined the length and continuity of antidepressant treatment and factors associated with long-term of treatment among adults. METHODS:Nationwide data from all reimbursed antidepressant prescriptions in 1994-2003 were linked with patients' data retrieved from Statistics Finland and the Finnish Hospital D...
journal_title:Pharmacoepidemiology and drug safety
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journal_title:Pharmacoepidemiology and drug safety
pub_type: 杂志文章
doi:10.1002/pds.2143
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journal_title:Pharmacoepidemiology and drug safety
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journal_title:Pharmacoepidemiology and drug safety
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journal_title:Pharmacoepidemiology and drug safety
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journal_title:Pharmacoepidemiology and drug safety
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doi:10.1002/pds.875
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pub_type: 杂志文章
doi:10.1002/pds.1701
更新日期:2009-05-01 00:00:00
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journal_title:Pharmacoepidemiology and drug safety
pub_type: 杂志文章
doi:10.1002/pds.1988
更新日期:2010-08-01 00:00:00
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journal_title:Pharmacoepidemiology and drug safety
pub_type: 杂志文章
doi:10.1002/pds.4648
更新日期:2018-11-01 00:00:00
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journal_title:Pharmacoepidemiology and drug safety
pub_type: 杂志文章
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pub_type: 杂志文章,评审
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journal_title:Pharmacoepidemiology and drug safety
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journal_title:Pharmacoepidemiology and drug safety
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pub_type: 杂志文章
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更新日期:2020-03-01 00:00:00
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journal_title:Pharmacoepidemiology and drug safety
pub_type: 杂志文章
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更新日期:2007-09-01 00:00:00
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更新日期:2001-12-01 00:00:00
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pub_type: 杂志文章
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更新日期:2017-09-01 00:00:00
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更新日期:2001-12-01 00:00:00
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更新日期:2019-08-01 00:00:00
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更新日期:2006-07-01 00:00:00
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更新日期:2007-12-01 00:00:00