Predictors of implant failure: A comprehensive analysis of risk factors in oral implant restoration for patients with partial defects of dentition
Implant failure remains a significant challenge in oral implantology, necessitating a deeper understanding of its risk factors to improve treatment outcomes. This study aimed to enhance the clinical outcomes of oral implant restoration by investigating the factors contributing to implant failure in...
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Association of Basic Medical Sciences of Federation of Bosnia and Herzegovina
2025-01-01
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| Series: | Biomolecules & Biomedicine |
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| Online Access: | https://www.bjbms.org/ojs/index.php/bjbms/article/view/11668 |
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| author | Dake Linghu Danna Zhang Min Liu |
| author_facet | Dake Linghu Danna Zhang Min Liu |
| author_sort | Dake Linghu |
| collection | DOAJ |
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Implant failure remains a significant challenge in oral implantology, necessitating a deeper understanding of its risk factors to improve treatment outcomes. This study aimed to enhance the clinical outcomes of oral implant restoration by investigating the factors contributing to implant failure in patients with partial dentition defects within two years of treatment. Additionally, the study sought to develop an early risk prediction model for implant failure. A retrospective analysis was conducted on 300 patients with partial dentition defects, dividing them into two groups: a failed implant group and a successful implant group, based on the occurrence of implant failure within two years. General clinical data and condition-specific clinical information were compared between the groups. Multivariate binary logistic regression analysis was used to identify influencing factors, while the predictive effectiveness of the model was assessed using a receiver operating characteristic (ROC) curve. The analysis revealed that factors such as gender, post-implant smoking, oral hygiene status at the second-year follow-up, tooth position, number of implants, timing of loading, width of keratinized mucosa, and bone quantity significantly influenced the likelihood of implant failure (P<0.05). Among these, post-implant smoking and tooth position were identified as independent risk factors. The area under the curve (AUC) for tooth position was 0.695, indicating low predictive performance. Although tooth position was determined to be an independent risk factor for implant failure within two years, its predictive performance was limited.
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| format | Article |
| id | doaj-art-d92cb45c451d4f6b83106e997c6e83f2 |
| institution | Kabale University |
| issn | 2831-0896 2831-090X |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Association of Basic Medical Sciences of Federation of Bosnia and Herzegovina |
| record_format | Article |
| series | Biomolecules & Biomedicine |
| spelling | doaj-art-d92cb45c451d4f6b83106e997c6e83f22025-01-16T16:40:11ZengAssociation of Basic Medical Sciences of Federation of Bosnia and HerzegovinaBiomolecules & Biomedicine2831-08962831-090X2025-01-0110.17305/bb.2024.11668Predictors of implant failure: A comprehensive analysis of risk factors in oral implant restoration for patients with partial defects of dentitionDake Linghu0Danna Zhang1Min Liu2Oral Implantology Department, Linyi Guoqiang Stomatological Hospital, Yuncheng, ChinaDepartment of Orthognathic Surgery and Maxillofacial Trauma, The Third Affiliated Hospital of Air Force Medical University, Xi’an, China Department of Orthognathic Surgery and Maxillofacial Trauma, The Third Affiliated Hospital of Air Force Medical University, Xi’an, China Implant failure remains a significant challenge in oral implantology, necessitating a deeper understanding of its risk factors to improve treatment outcomes. This study aimed to enhance the clinical outcomes of oral implant restoration by investigating the factors contributing to implant failure in patients with partial dentition defects within two years of treatment. Additionally, the study sought to develop an early risk prediction model for implant failure. A retrospective analysis was conducted on 300 patients with partial dentition defects, dividing them into two groups: a failed implant group and a successful implant group, based on the occurrence of implant failure within two years. General clinical data and condition-specific clinical information were compared between the groups. Multivariate binary logistic regression analysis was used to identify influencing factors, while the predictive effectiveness of the model was assessed using a receiver operating characteristic (ROC) curve. The analysis revealed that factors such as gender, post-implant smoking, oral hygiene status at the second-year follow-up, tooth position, number of implants, timing of loading, width of keratinized mucosa, and bone quantity significantly influenced the likelihood of implant failure (P<0.05). Among these, post-implant smoking and tooth position were identified as independent risk factors. The area under the curve (AUC) for tooth position was 0.695, indicating low predictive performance. Although tooth position was determined to be an independent risk factor for implant failure within two years, its predictive performance was limited. https://www.bjbms.org/ojs/index.php/bjbms/article/view/11668Dentition defectoral implant restorationimplant failure eventsinfluencing factors |
| spellingShingle | Dake Linghu Danna Zhang Min Liu Predictors of implant failure: A comprehensive analysis of risk factors in oral implant restoration for patients with partial defects of dentition Biomolecules & Biomedicine Dentition defect oral implant restoration implant failure events influencing factors |
| title | Predictors of implant failure: A comprehensive analysis of risk factors in oral implant restoration for patients with partial defects of dentition |
| title_full | Predictors of implant failure: A comprehensive analysis of risk factors in oral implant restoration for patients with partial defects of dentition |
| title_fullStr | Predictors of implant failure: A comprehensive analysis of risk factors in oral implant restoration for patients with partial defects of dentition |
| title_full_unstemmed | Predictors of implant failure: A comprehensive analysis of risk factors in oral implant restoration for patients with partial defects of dentition |
| title_short | Predictors of implant failure: A comprehensive analysis of risk factors in oral implant restoration for patients with partial defects of dentition |
| title_sort | predictors of implant failure a comprehensive analysis of risk factors in oral implant restoration for patients with partial defects of dentition |
| topic | Dentition defect oral implant restoration implant failure events influencing factors |
| url | https://www.bjbms.org/ojs/index.php/bjbms/article/view/11668 |
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