{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,8]],"date-time":"2026-10-08T13:00:43Z","timestamp":1791464443047,"version":"4.3.4"},"reference-count":52,"publisher":"Wiley","issue":"5","license":[{"start":{"date-parts":[[2025,9,17]],"date-time":"2025-09-17T00:00:00Z","timestamp":1758067200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Clin Implant Dent Rel Res"],"published-print":{"date-parts":[[2025,10]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Introduction<\/jats:title>\n                    <jats:p>While numerous studies have examined overall dental implant failure, only a few have focused on the distinct risk factors associated with early (within 6\u2009months of post\u2010implantation) and late (after 6\u2009months of post\u2010implantation) failures, especially in the veteran population. Consequently, understanding the nuances of early and late DIFs specific to veterans is necessary to improve clinical decision\u2010making and enhance VA dental surgeons' ability to mitigate failure risks.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>Electronic health records (EHRs) were obtained between January 1, 2000, and December 1, 2021, for veteran patients aged 18\u2009years or older and those who received a dental implant. Univariable analysis was initially conducted to identify significant risk factors, which were subsequently controlled for in multivariable analysis. A mixed\u2010effect logistic regression model was then used to estimate the odds ratio of early\/late failures. The intra\u2010class correlation coefficient (ICC) was calculated using a mixed\u2010effects model to assess the proportion of variance attributable to patient\u2010level clustering.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>A total of 132\u2009675 US veterans with 468\u2009496 dental implants were included in the multivariable models. Within this cohort, 13\u2009492 failures were reported in 9423 unique veterans, resulting in a 7.1% failure rate over 21\u2009years. Adjusted odds ratios indicated that being 70\u2009years or older at the time of implant placement, Asian race, having osteoporosis, and undergoing reimplantation were significantly associated with increased odds of early implant failure. In contrast, patients aged 40\u201360\u2009years at the time of placement, African American race, active periodontitis, and alendronate use were associated with increased odds of late implant failure. The ICC of 86% calculated for the cohort indicated a high level of patient\u2010level clustering.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>Veterans with active periodontitis and those using Alendronate exhibited markedly increased odds\u2014approximately 139% and 114% respectively\u2014for late implant failures. Conversely, veterans aged 70\u2009years or older and those undergoing reimplantation had 257% and 89% increased odds respectively in the early failure cohort. The high ICC value for this cohort indicated that the outcome of implant placement was strongly influenced by the patients' prior history of implant failure or success.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1111\/cid.70091","type":"journal-article","created":{"date-parts":[[2025,9,17]],"date-time":"2025-09-17T11:25:23Z","timestamp":1758108323000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Insights Into Early and Late Dental Implant Failures in Veterans\u2014A Retrospective Cohort Analysis"],"prefix":"10.1111","volume":"27","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3630-9216","authenticated-orcid":false,"given":"Alec Scott","family":"Griffin","sequence":"first","affiliation":[{"name":"Dental Clinic George E. Wahlen Department of Veterans Affairs Medical Center  Salt Lake City Utah USA"},{"name":"Plastic Surgery and Orthopedics Research Laboratory George E. Wahlen Department of Veterans Affairs Medical Center  Salt Lake City Utah USA"},{"name":"University of Utah School of Dentistry  Salt Lake City Utah USA"},{"name":"Division of Plastic and Reconstructive Surgery, Department of Surgery University of Utah School of Medicine  Salt Lake City Utah USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0000-6286-2974","authenticated-orcid":false,"given":"Aaron John","family":"Miller","sequence":"additional","affiliation":[{"name":"Plastic Surgery and Orthopedics Research Laboratory George E. Wahlen Department of Veterans Affairs Medical Center  Salt Lake City Utah USA"},{"name":"Division of Plastic and Reconstructive Surgery, Department of Surgery University of Utah School of Medicine  Salt Lake City Utah USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mark Richards","family":"Durham","sequence":"additional","affiliation":[{"name":"Dental Clinic George E. 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