Implant failure: prevalence, risk factors, management, and prevention

2015 ◽  
pp. 153-169 ◽  
Author(s):  
J. Kobi Stern ◽  
Emily E. Hahn ◽  
Cyril I. Evian ◽  
Jonathan Waasdorp ◽  
Edwin S. Rosenberg
Keyword(s):  
Risk Factors ◽  
Implant Failure

Risk Factors for Dental Implant Failure: A Strategy for the Analysis of Clustered Failure-time Observations

2002 ◽  
Vol 81 (8) ◽  
pp. 572-577 ◽  
Author(s):  
S.K. Chuang ◽  
L.J. Wei ◽  
C.W. Douglass ◽  
T.B. Dodson
Keyword(s):  
Risk Factors ◽  
Dental Implant ◽  
Failure Time ◽  
Implant Failure

Should the quality of glycemic control guide dental implant therapy in patients with diabetes? Focus on implant survival

2021 ◽  
Vol 17 ◽  
Author(s):  
Dalia Nourah ◽  
Salwa Aldahlawi ◽  
Sebastiano Andreana
Keyword(s):  
Risk Factors ◽  
Glycemic Control ◽  
Dental Implant ◽  
Failure Rate ◽  
Implant Failure ◽  
Diabetic Patients ◽  
Marginal Bone Loss ◽  
Good Glycemic Control ◽  
Implant Therapy

Introduction: Optimal glycemic control is crucial to dental implant long-term functional and esthetic success. Despite HbA1c levels of 7% or lower used as an indicator for good glycemic control, however, this level may not be attainable for all diabetic patients. Most dentists do not consider patients with poor glycemic control candidates for implant therapy due to higher implant failure, infection or other complications. Aim: This review challenges the concept of one size fits all and aims to critically appraise the evidence for the success or failure rate of dental implants and peri-implant health outcomes in patients with less-than-optimal glycemic control. Discussion: Evidence suggests that estimating glycemic control from HbA1c measurement alone is misleading. Moreover, elevated preoperative HbA1c was not associated with increased mortality and morbidity after major surgical procedures. Literature for the survival or success of implants in diabetic patients is inconsistent due to a lack of standardized reporting of clinical data collection and outcomes. While a number of studies report that implant treatment in patients with well-controlled diabetes has a similar success rate to healthy individuals, other studies suggest that the quality of glycemic control in diabetic patients does not make a difference in the implant failure rate or marginal bone loss. This discrepancy could indicate that risk factors other than hyperglycemia may contribute to the survival of implants in diabetic patients. Conclusion: In the era of personalized medicine, the clinician should utilize individualized information and analyze all risk factors to provide the patient with evidence-based treatment options.

scholarly journals Total elbow arthroplasty in patients with rheumatoid arthritis

2020 ◽  
Vol 102-B (8) ◽  
pp. 967-980
Author(s):  
Te-Feng A. Chou ◽  
Hsuan-Hsiao Ma ◽  
Jou-Hua Wang ◽  
Shang-Wen Tsai ◽  
Cheng-Fong Chen ◽  
...  
Keyword(s):  
Rheumatoid Arthritis ◽  
Risk Factors ◽  
Regression Analysis ◽  
Implant Failure ◽  
Complication Rates ◽  
Younger Patients ◽  
Mode Of Failure ◽  
The Mean ◽  
Meta Regression ◽  
Meta Regression Analysis

Aims The aims of this study were to validate the outcome of total elbow arthroplasty (TEA) in patients with rheumatoid arthritis (RA), and to identify factors that affect the outcome. Methods We searched PubMed, MEDLINE, Cochrane Reviews, and Embase from between January 2003 and March 2019. The primary aim was to determine the implant failure rate, the mode of failure, and risk factors predisposing to failure. A secondary aim was to identify the overall complication rate, associated risk factors, and clinical performance. A meta-regression analysis was completed to identify the association between each parameter with the outcome. Results A total of 38 studies including 2,118 TEAs were included in the study. The mean follow-up was 80.9 months (8.2 to 156). The implant failure and complication rates were 16.1% (95% confidence interval (CI) 0.128 to 0.200) and 24.5% (95% CI 0.203 to 0.293), respectively. Aseptic loosening was the most common mode of failure (9.5%; 95% CI 0.071 to 0.124). The mean postoperative ranges of motion (ROMs) were: flexion 131.5° (124.2° to 138.8°), extension 29.3° (26.8° to 31.9°), pronation 74.0° (67.8° to 80.2°), and supination 72.5° (69.5° to 75.5°), and the mean postoperative Mayo Elbow Performance Score (MEPS) was 89.3 (95% CI 86.9 to 91.6). The meta-regression analysis identified that younger patients and implants with an unlinked design correlated with higher failure rates. Younger patients were associated with increased complications, while female patients and an unlinked prosthesis were associated with aseptic loosening. Conclusion TEA continues to provide satisfactory results for patients with RA. However, it is associated with a substantially higher implant failure and complication rates compared with hip and knee arthroplasties. The patient’s age, sex, and whether cemented fixation and unlinked prosthesis were used can influence the outcome. Level of Evidence: Therapeutic Level IV. Cite this article: Bone Joint J 2020;102-B(8):967–980.

Risk factors associated with early implant failure: A 5-year retrospective clinical study

2016 ◽  
Vol 115 (2) ◽  
pp. 150-155 ◽  
Author(s):  
Maris Victoria Olmedo-Gaya ◽  
Francisco J. Manzano-Moreno ◽  
Esther Cañaveral-Cavero ◽  
Juan de Dios Luna-del Castillo ◽  
Manuel Vallecillo-Capilla
Keyword(s):  
Risk Factors ◽  
Clinical Study ◽  
Implant Failure ◽  
Factors Associated ◽  
Retrospective Clinical Study

Risk factors for dental implant failure and medicolegal implications

2019 ◽  
Vol 27 (1) ◽  
pp. 52-56
Author(s):  
R Hainarosie ◽  
C Pietrosanu ◽  
AP Cherecheanu ◽  
AP Stoian ◽  
CD Stefanescu ◽  
...  
Keyword(s):  
Risk Factors ◽  
Dental Implant ◽  
Implant Failure
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