Alec Scott Griffin, Aaron John Miller, Mark Richards Durham, Layne Clair Brown, Guo Wei, Gregory J. Stoddard, Sujee Jeyapalina
{"title":"对退伍军人早期和晚期牙种植失败的见解——回顾性队列分析。","authors":"Alec Scott Griffin, Aaron John Miller, Mark Richards Durham, Layne Clair Brown, Guo Wei, Gregory J. Stoddard, Sujee Jeyapalina","doi":"10.1111/cid.70091","DOIUrl":null,"url":null,"abstract":"<div>\n \n \n <section>\n \n <h3> Introduction</h3>\n \n <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 months of post-implantation) and late (after 6 months of post-implantation) failures, especially in the veteran population. Consequently, understanding the nuances of early and late DIFs specific to veterans is necessary to improve clinical decision-making and enhance VA dental surgeons' ability to mitigate failure risks.</p>\n </section>\n \n <section>\n \n <h3> Methods</h3>\n \n <p>Electronic health records (EHRs) were obtained between January 1, 2000, and December 1, 2021, for veteran patients aged 18 years 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-effect logistic regression model was then used to estimate the odds ratio of early/late failures. The intra-class correlation coefficient (ICC) was calculated using a mixed-effects model to assess the proportion of variance attributable to patient-level clustering.</p>\n </section>\n \n <section>\n \n <h3> Results</h3>\n \n <p>A total of 132 675 US veterans with 468 496 dental implants were included in the multivariable models. Within this cohort, 13 492 failures were reported in 9423 unique veterans, resulting in a 7.1% failure rate over 21 years. Adjusted odds ratios indicated that being 70 years 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 40–60 years 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-level clustering.</p>\n </section>\n \n <section>\n \n <h3> Conclusion</h3>\n \n <p>Veterans with active periodontitis and those using Alendronate exhibited markedly increased odds—approximately 139% and 114% respectively—for late implant failures. Conversely, veterans aged 70 years 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.</p>\n </section>\n </div>","PeriodicalId":50679,"journal":{"name":"Clinical Implant Dentistry and Related Research","volume":"27 5","pages":""},"PeriodicalIF":4.0000,"publicationDate":"2025-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Insights Into Early and Late Dental Implant Failures in Veterans—A Retrospective Cohort Analysis\",\"authors\":\"Alec Scott Griffin, Aaron John Miller, Mark Richards Durham, Layne Clair Brown, Guo Wei, Gregory J. Stoddard, Sujee Jeyapalina\",\"doi\":\"10.1111/cid.70091\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div>\\n \\n \\n <section>\\n \\n <h3> Introduction</h3>\\n \\n <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 months of post-implantation) and late (after 6 months of post-implantation) failures, especially in the veteran population. Consequently, understanding the nuances of early and late DIFs specific to veterans is necessary to improve clinical decision-making and enhance VA dental surgeons' ability to mitigate failure risks.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Methods</h3>\\n \\n <p>Electronic health records (EHRs) were obtained between January 1, 2000, and December 1, 2021, for veteran patients aged 18 years 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-effect logistic regression model was then used to estimate the odds ratio of early/late failures. The intra-class correlation coefficient (ICC) was calculated using a mixed-effects model to assess the proportion of variance attributable to patient-level clustering.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Results</h3>\\n \\n <p>A total of 132 675 US veterans with 468 496 dental implants were included in the multivariable models. Within this cohort, 13 492 failures were reported in 9423 unique veterans, resulting in a 7.1% failure rate over 21 years. Adjusted odds ratios indicated that being 70 years 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 40–60 years 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-level clustering.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Conclusion</h3>\\n \\n <p>Veterans with active periodontitis and those using Alendronate exhibited markedly increased odds—approximately 139% and 114% respectively—for late implant failures. Conversely, veterans aged 70 years 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.</p>\\n </section>\\n </div>\",\"PeriodicalId\":50679,\"journal\":{\"name\":\"Clinical Implant Dentistry and Related Research\",\"volume\":\"27 5\",\"pages\":\"\"},\"PeriodicalIF\":4.0000,\"publicationDate\":\"2025-09-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Clinical Implant Dentistry and Related Research\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1111/cid.70091\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"DENTISTRY, ORAL SURGERY & MEDICINE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Clinical Implant Dentistry and Related Research","FirstCategoryId":"3","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1111/cid.70091","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"DENTISTRY, ORAL SURGERY & MEDICINE","Score":null,"Total":0}
Insights Into Early and Late Dental Implant Failures in Veterans—A Retrospective Cohort Analysis
Introduction
While numerous studies have examined overall dental implant failure, only a few have focused on the distinct risk factors associated with early (within 6 months of post-implantation) and late (after 6 months of post-implantation) failures, especially in the veteran population. Consequently, understanding the nuances of early and late DIFs specific to veterans is necessary to improve clinical decision-making and enhance VA dental surgeons' ability to mitigate failure risks.
Methods
Electronic health records (EHRs) were obtained between January 1, 2000, and December 1, 2021, for veteran patients aged 18 years 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-effect logistic regression model was then used to estimate the odds ratio of early/late failures. The intra-class correlation coefficient (ICC) was calculated using a mixed-effects model to assess the proportion of variance attributable to patient-level clustering.
Results
A total of 132 675 US veterans with 468 496 dental implants were included in the multivariable models. Within this cohort, 13 492 failures were reported in 9423 unique veterans, resulting in a 7.1% failure rate over 21 years. Adjusted odds ratios indicated that being 70 years 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 40–60 years 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-level clustering.
Conclusion
Veterans with active periodontitis and those using Alendronate exhibited markedly increased odds—approximately 139% and 114% respectively—for late implant failures. Conversely, veterans aged 70 years 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.
期刊介绍:
The goal of Clinical Implant Dentistry and Related Research is to advance the scientific and technical aspects relating to dental implants and related scientific subjects. Dissemination of new and evolving information related to dental implants and the related science is the primary goal of our journal.
The range of topics covered by the journals will include but be not limited to:
New scientific developments relating to bone
Implant surfaces and their relationship to the surrounding tissues
Computer aided implant designs
Computer aided prosthetic designs
Immediate implant loading
Immediate implant placement
Materials relating to bone induction and conduction
New surgical methods relating to implant placement
New materials and methods relating to implant restorations
Methods for determining implant stability
A primary focus of the journal is publication of evidenced based articles evaluating to new dental implants, techniques and multicenter studies evaluating these treatments. In addition basic science research relating to wound healing and osseointegration will be an important focus for the journal.