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The Effect of Anticoagulants on Early Implant Failure: A Retrospective Cohort Study
Background: Anticoagulants (AC) are among the most often prescribed drugs in the world. Data regarding ACs’ effect on the osseointegration of dental implants is lacking. Purpose: The aim of the present retrospective cohort study was to evaluate the effect of anticoagulants (AC) on early implant fail...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10144258/ https://www.ncbi.nlm.nih.gov/pubmed/37103275 http://dx.doi.org/10.3390/jfb14040186 |
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author | Chaushu, Liat Perez, Noa Botticelli, Daniele Xavier, Samuel Porfirio Kolerman, Roni Masri, Daya |
author_facet | Chaushu, Liat Perez, Noa Botticelli, Daniele Xavier, Samuel Porfirio Kolerman, Roni Masri, Daya |
author_sort | Chaushu, Liat |
collection | PubMed |
description | Background: Anticoagulants (AC) are among the most often prescribed drugs in the world. Data regarding ACs’ effect on the osseointegration of dental implants is lacking. Purpose: The aim of the present retrospective cohort study was to evaluate the effect of anticoagulants (AC) on early implant failure (EIF). The null hypothesis was that the use of AC increases the incidence of EIF. Materials and Methods: The research included 687 patients who underwent 2971 dental implant placements in the department of oral and maxillofacial surgery in Rabin medical center, Beilinson hospital, by specialists in oral and maxillofacial surgery. The study group comprised 173 (25.2%) patients and 708 (23.8%) implants using AC. The rest of the cohort served as a control. A structured form was used to collect data at patient and implant level. EIF was defined as implant failure within a period of up to 12 months from loading. EIF was the primary outcome parameter. A logistic regression model was used to predict EIF. Results: Implants placed in individuals ≥ 80 (odds ratio (OR) = 0.34, p = 0.05), and ASA 2/3 vs. ASA 1 individuals (OR = 0.30, p = 0.02/OR = 0.33, p = 0.03, respectively) had decreased odds of EIF, and implants in those using anticoagulants (OR = 2.64, p = 0.01) had increased odds of EIF. At the patient level, the odds of EIF in ASA 3 (OR = 0.53, p = 0.02) and IHD (OR = 0.40, p = 0.02) individuals decreased. In AF/VF (OR = 2.95, p = 0.01) individuals, EIF odds increased. Conclusions: Within the limitations of the present study, the use of AC is significantly associated with an increased likelihood of EIF: the OR was 2.64. Future research is required to validate and examine the prospective impact of AC on the osseointegration phenomena. |
format | Online Article Text |
id | pubmed-10144258 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-101442582023-04-29 The Effect of Anticoagulants on Early Implant Failure: A Retrospective Cohort Study Chaushu, Liat Perez, Noa Botticelli, Daniele Xavier, Samuel Porfirio Kolerman, Roni Masri, Daya J Funct Biomater Article Background: Anticoagulants (AC) are among the most often prescribed drugs in the world. Data regarding ACs’ effect on the osseointegration of dental implants is lacking. Purpose: The aim of the present retrospective cohort study was to evaluate the effect of anticoagulants (AC) on early implant failure (EIF). The null hypothesis was that the use of AC increases the incidence of EIF. Materials and Methods: The research included 687 patients who underwent 2971 dental implant placements in the department of oral and maxillofacial surgery in Rabin medical center, Beilinson hospital, by specialists in oral and maxillofacial surgery. The study group comprised 173 (25.2%) patients and 708 (23.8%) implants using AC. The rest of the cohort served as a control. A structured form was used to collect data at patient and implant level. EIF was defined as implant failure within a period of up to 12 months from loading. EIF was the primary outcome parameter. A logistic regression model was used to predict EIF. Results: Implants placed in individuals ≥ 80 (odds ratio (OR) = 0.34, p = 0.05), and ASA 2/3 vs. ASA 1 individuals (OR = 0.30, p = 0.02/OR = 0.33, p = 0.03, respectively) had decreased odds of EIF, and implants in those using anticoagulants (OR = 2.64, p = 0.01) had increased odds of EIF. At the patient level, the odds of EIF in ASA 3 (OR = 0.53, p = 0.02) and IHD (OR = 0.40, p = 0.02) individuals decreased. In AF/VF (OR = 2.95, p = 0.01) individuals, EIF odds increased. Conclusions: Within the limitations of the present study, the use of AC is significantly associated with an increased likelihood of EIF: the OR was 2.64. Future research is required to validate and examine the prospective impact of AC on the osseointegration phenomena. MDPI 2023-03-27 /pmc/articles/PMC10144258/ /pubmed/37103275 http://dx.doi.org/10.3390/jfb14040186 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Chaushu, Liat Perez, Noa Botticelli, Daniele Xavier, Samuel Porfirio Kolerman, Roni Masri, Daya The Effect of Anticoagulants on Early Implant Failure: A Retrospective Cohort Study |
title | The Effect of Anticoagulants on Early Implant Failure: A Retrospective Cohort Study |
title_full | The Effect of Anticoagulants on Early Implant Failure: A Retrospective Cohort Study |
title_fullStr | The Effect of Anticoagulants on Early Implant Failure: A Retrospective Cohort Study |
title_full_unstemmed | The Effect of Anticoagulants on Early Implant Failure: A Retrospective Cohort Study |
title_short | The Effect of Anticoagulants on Early Implant Failure: A Retrospective Cohort Study |
title_sort | effect of anticoagulants on early implant failure: a retrospective cohort study |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10144258/ https://www.ncbi.nlm.nih.gov/pubmed/37103275 http://dx.doi.org/10.3390/jfb14040186 |
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