The survival rates and risk factors of implants in the early stage: a retrospective study
Abstract Background Few large-sample studies in China have focused on the early survival of dental implants. The present study aimed to report the early survival rates of implants and determine the related influencing factors. Methods All patients receiving dental implants at our institution between...
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doaj-d4754abb30e74522ae7708e47ee250af2021-06-13T11:49:35ZengBMCBMC Oral Health1472-68312021-06-012111710.1186/s12903-021-01651-8The survival rates and risk factors of implants in the early stage: a retrospective studyYong Yang0Huiting Hu1Mianyan Zeng2Hongxing Chu3Zekun Gan4Jianmin Duan5Mingdeng Rong6Department of Periodontology and Oral Implantology, Stomatological Hospital, Southern Medical UniversityDepartment of Periodontology and Oral Implantology, Stomatological Hospital, Southern Medical UniversityDepartment of Periodontology and Oral Implantology, Stomatological Hospital, Southern Medical UniversityDepartment of Periodontology and Oral Implantology, Stomatological Hospital, Southern Medical UniversityDepartment of Periodontology and Oral Implantology, Stomatological Hospital, Southern Medical UniversityDepartment of Stomatology, General Hospital of Southern Theater of People’s Liberation ArmyDepartment of Periodontology and Oral Implantology, Stomatological Hospital, Southern Medical UniversityAbstract Background Few large-sample studies in China have focused on the early survival of dental implants. The present study aimed to report the early survival rates of implants and determine the related influencing factors. Methods All patients receiving dental implants at our institution between 2006 and 2017 were included. The endpoint of the study was early survival rates of implants, according to gender, age, maxilla/mandible, dental position, bone augmentation, bone augmentation category, immediate implant, submerged implant category, implant diameter, implant length, implant torque, and other related factors. Initially, SPSS22.0 was used for statistical analysis. The Chi-square test was used to screen all factors, and those with p < 0.05 were further introduced into a multiple logistic regression model to illustrate the risk factors for early survival rates of implants. Results In this study, we included 1078 cases (601 males and 477 females) with 2053 implants. After implantation, 1974 implants were retained, and the early survival rate was 96.15%. Patients aged 30–60 years (OR 2.392), with Class I bone quality (OR 3.689), bone augmentation (OR 1.742), immediate implantation (OR 3.509), and implant length < 10 mm (OR 2.972), were said to possess risk factors conducive to early survival rates. Conclusions The early survival rate of implants in our cohort exceeded 96%, with risk factors including age, tooth position, bone quality, implant length, bone augmentation surgery, and immediate implantation. When the above factors coexist, implant placement should be treated carefully.https://doi.org/10.1186/s12903-021-01651-8Dental implantEarly survival rateRisk factorsMultivariable logistic regression |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Yong Yang Huiting Hu Mianyan Zeng Hongxing Chu Zekun Gan Jianmin Duan Mingdeng Rong |
spellingShingle |
Yong Yang Huiting Hu Mianyan Zeng Hongxing Chu Zekun Gan Jianmin Duan Mingdeng Rong The survival rates and risk factors of implants in the early stage: a retrospective study BMC Oral Health Dental implant Early survival rate Risk factors Multivariable logistic regression |
author_facet |
Yong Yang Huiting Hu Mianyan Zeng Hongxing Chu Zekun Gan Jianmin Duan Mingdeng Rong |
author_sort |
Yong Yang |
title |
The survival rates and risk factors of implants in the early stage: a retrospective study |
title_short |
The survival rates and risk factors of implants in the early stage: a retrospective study |
title_full |
The survival rates and risk factors of implants in the early stage: a retrospective study |
title_fullStr |
The survival rates and risk factors of implants in the early stage: a retrospective study |
title_full_unstemmed |
The survival rates and risk factors of implants in the early stage: a retrospective study |
title_sort |
survival rates and risk factors of implants in the early stage: a retrospective study |
publisher |
BMC |
series |
BMC Oral Health |
issn |
1472-6831 |
publishDate |
2021-06-01 |
description |
Abstract Background Few large-sample studies in China have focused on the early survival of dental implants. The present study aimed to report the early survival rates of implants and determine the related influencing factors. Methods All patients receiving dental implants at our institution between 2006 and 2017 were included. The endpoint of the study was early survival rates of implants, according to gender, age, maxilla/mandible, dental position, bone augmentation, bone augmentation category, immediate implant, submerged implant category, implant diameter, implant length, implant torque, and other related factors. Initially, SPSS22.0 was used for statistical analysis. The Chi-square test was used to screen all factors, and those with p < 0.05 were further introduced into a multiple logistic regression model to illustrate the risk factors for early survival rates of implants. Results In this study, we included 1078 cases (601 males and 477 females) with 2053 implants. After implantation, 1974 implants were retained, and the early survival rate was 96.15%. Patients aged 30–60 years (OR 2.392), with Class I bone quality (OR 3.689), bone augmentation (OR 1.742), immediate implantation (OR 3.509), and implant length < 10 mm (OR 2.972), were said to possess risk factors conducive to early survival rates. Conclusions The early survival rate of implants in our cohort exceeded 96%, with risk factors including age, tooth position, bone quality, implant length, bone augmentation surgery, and immediate implantation. When the above factors coexist, implant placement should be treated carefully. |
topic |
Dental implant Early survival rate Risk factors Multivariable logistic regression |
url |
https://doi.org/10.1186/s12903-021-01651-8 |
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