{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,21]],"date-time":"2026-10-21T15:07:31Z","timestamp":1792595251104,"version":"4.5.0"},"reference-count":32,"publisher":"Wiley","issue":"8","license":[{"start":{"date-parts":[[2020,4,10]],"date-time":"2020-04-10T00:00:00Z","timestamp":1586476800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"funder":[{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"publisher","award":["K24AG033640"],"award-info":[{"award-number":["K24AG033640"]}],"id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"publisher","award":["R01AG062713"],"award-info":[{"award-number":["R01AG062713"]}],"id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"publisher","award":["T32AG023480"],"award-info":[{"award-number":["T32AG023480"]}],"id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["agsjournals.onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["J American Geriatrics Society"],"published-print":{"date-parts":[[2020,8]]},"abstract":"<jats:sec>\n                    <jats:title>OBJECTIVES<\/jats:title>\n                    <jats:p>Determine the effects of missing data in frailty identification and risk prediction.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>DESIGN<\/jats:title>\n                    <jats:p>Analysis of the National Health in Aging Trends Study.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>SETTING<\/jats:title>\n                    <jats:p>Community.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>PARTICIPANTS<\/jats:title>\n                    <jats:p>About 6206 older adults.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>MEASUREMENTS<\/jats:title>\n                    <jats:p>A 41\u2010variable frailty index (FI) was constructed with the following domains: comorbidities, activities of daily living (ADLs), instrumental activities of daily living, self\u2010reported physical limitations, physical performance, and neuropsychiatric tests. We evaluated discrimination after removing single and multiple domains, comparing C\u2010statistics for predicting 5\u2010year risk of mortality and 1\u2010year risks of disability and falls.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>RESULTS<\/jats:title>\n                    <jats:p>The full FI yielded a mean of .18 and C\u2010statistics of .72 (95% confidence interval, .70\u2010.74) for mortality, .80 (.77\u2010.82) for disability, and .66 (.64\u2010.68) for falls. Removal of any single domain shifted the FI distribution, resulting in a mean FI ranging from .13 (removing comorbidities) to .20 (removing ADLs) and frailty prevalence (FI \u2265 .25) from 16.0% to 28.7%. Among robust participants models missing ADLs misclassified most often, (19% as pre\u2010frail). Among pre\u2010frail and frail participants missing comorbidities misclassified most often(69.2% from pre\u2010frail to robust, 24% from frail to pre\u2010frail, and 4.9% from frail to robust). Removal of any single domain minimally changed C\u2010statistics: mortality, .71\u2010.73; disability, .79\u2010.80; and falls, .64\u2010.66. Removing neuropsychiatric testing and physical performance yielded comparable C\u2010statistics of .70, .78, and .66 for mortality, ADLs, and falls, respectively. However, removal of three or four domains based on likely availability decreased C\u2010statistics for mortality (.69, .66),disability (.75, .70), and falls (.64, .63), respectively.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>CONCLUSION<\/jats:title>\n                    <jats:p>While FI discrimination is robust to missing information in any single domain, risk prediction is affected by absence of multiple domains. This work informs the application of FI as a clinical and research tool. J Am Geriatr Soc 68:1771\u20101777, 2020.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1111\/jgs.16436","type":"journal-article","created":{"date-parts":[[2020,4,10]],"date-time":"2020-04-10T04:16:21Z","timestamp":1586492181000},"page":"1771-1777","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":48,"title":["Changes in Predictive Performance of a Frailty Index with Availability of Clinical Domains"],"prefix":"10.1111","volume":"68","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6801-5602","authenticated-orcid":false,"given":"Sandra M.","family":"Shi","sequence":"first","affiliation":[{"name":"Marcus Institute for Aging Research Hebrew SeniorLife  Boston Massachusetts USA"},{"name":"Beth Israel Deaconess Medical Center Harvard Medical School  Boston Massachusetts USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ellen P.","family":"McCarthy","sequence":"additional","affiliation":[{"name":"Marcus Institute for Aging Research Hebrew SeniorLife  Boston Massachusetts USA"},{"name":"Beth Israel Deaconess Medical Center Harvard Medical School  Boston Massachusetts USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Susan","family":"Mitchell","sequence":"additional","affiliation":[{"name":"Marcus Institute for Aging Research Hebrew SeniorLife  Boston Massachusetts USA"},{"name":"Beth Israel Deaconess Medical Center Harvard Medical School  Boston Massachusetts USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Dae Hyun","family":"Kim","sequence":"additional","affiliation":[{"name":"Marcus Institute for Aging Research Hebrew SeniorLife  Boston Massachusetts USA"},{"name":"Beth Israel Deaconess Medical Center Harvard Medical School  Boston Massachusetts USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2020,4,10]]},"reference":[{"key":"e_1_2_6_2_1","doi-asserted-by":"publisher","DOI":"10.1186\/1471-2318-8-24"},{"key":"e_1_2_6_3_1","doi-asserted-by":"publisher","DOI":"10.1111\/j.1532-5415.2010.02764.x"},{"key":"e_1_2_6_4_1","doi-asserted-by":"publisher","DOI":"10.6004\/jnccn.2017.0122"},{"key":"e_1_2_6_5_1","doi-asserted-by":"publisher","DOI":"10.1002\/cncr.30269"},{"key":"e_1_2_6_6_1","doi-asserted-by":"publisher","DOI":"10.1093\/gerona\/gly196"},{"key":"e_1_2_6_7_1","doi-asserted-by":"publisher","DOI":"10.1503\/cmaj.050051"},{"key":"e_1_2_6_8_1","doi-asserted-by":"publisher","DOI":"10.1111\/j.1532-5415.2004.52521.x"},{"key":"e_1_2_6_9_1","doi-asserted-by":"publisher","DOI":"10.1093\/ageing\/afw039"},{"key":"e_1_2_6_10_1","doi-asserted-by":"publisher","DOI":"10.1093\/gerona\/glz017"},{"key":"e_1_2_6_11_1","doi-asserted-by":"publisher","DOI":"10.1093\/gerona\/glx229"},{"key":"e_1_2_6_12_1","doi-asserted-by":"publisher","DOI":"10.1111\/j.1532-5415.2006.00738.x"},{"key":"e_1_2_6_13_1","doi-asserted-by":"publisher","DOI":"10.1001\/jamainternmed.2015.2152"},{"key":"e_1_2_6_14_1","doi-asserted-by":"publisher","DOI":"10.1111\/jgs.15928"},{"key":"e_1_2_6_15_1","unstructured":"MontaquilaJ FreedmanV EdwardsB KasperJ. 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