Is the intake of selective serotonin reuptake inhibitors associated with an increased risk of dental implant failure?

Dental implant considerations in patients with systemic diseases: An updated comprehensive review

BACKGROUND

Various medical conditions and the drugs used to treat them have been shown to impede or complicate dental implant surgery. It is crucial to carefully monitor the medical status and potential post-operative complications of patients with systemic diseases, particularly elderly patients, to minimize the risk of health complications that may arise.

AIM

The purpose of this study was to review the existing evidence on the viability of dental implants in patients with systemic diseases and to provide practical recommendations to achieve the best possible results in the corresponding patient population.

METHODS

The information for our study was compiled using data from PubMed, Scopus, Web of Science and Google Scholar databases and searched separately for each systemic disease included in our work until October 2023. An additional manual search was also performed to increase the search sensitivity. Only English-language publications were included and assessed according to titles, abstracts and full texts.

RESULTS

In total, 6784 studies were found. After checking for duplicates and full-text availability, screening for the inclusion criteria and manually searching reference lists, 570 articles remained to be considered in this study.

CONCLUSION

In treating patients with systemic conditions, the cost-benefit analysis should consider the patient's quality of life and expected lifespan. The success of dental implants depends heavily on ensuring appropriate maintenance therapy, ideal oral hygiene standards, no smoking and avoiding other risk factors. Indications and contraindications for dental implants in cases of systemic diseases are yet to be more understood; broader and hardcore research needs to be done for a guideline foundation.

Emerging factors affecting peri-implant bone metabolism

Implant dentistry has evolved to the point that standard implant osseointegration is predictable. This is attributed in part to the advancements in material sciences that have led toward improvements in implant surface technology and characteristics. Nonetheless, there remain several cases where implant therapy fails (specifically at early time points), most commonly attributed to factors affecting bone metabolism. Among these patients, smokers are known to have impaired bone metabolism and thus be subject to higher risks of early implant failure and/or late complications related to the stability of the peri-implant bone and mucosal tissues. Notably, however, emerging data have unveiled other critical factors affecting osseointegration, namely, those related to the metabolism of bone tissues. The aim of this review is to shed light on the effects of implant-related factors, like implant surface or titanium particle release; surgical-related factors, like osseodensification or implanted biomaterials; various drugs, like selective serotonin reuptake inhibitors, proton pump inhibitors, anti-hypertensives, nonsteroidal anti-inflammatory medication, and statins, and host-related factors, like smoking, diet, and metabolic syndrome on bone metabolism, and aseptic peri-implant bone loss. Despite the infectious nature of peri-implant biological complications, these factors must be surveyed for the effective prevention and management of peri-implantitis.

Hypertension and Dental Implants: A Systematic Review and Meta-Analysis

PURPOSE

The aim of the present systematic review was to investigate the influence of hypertension on the dental implant failure rate.

METHODS

An electronic search was undertaken in four databases, plus a manual search of journals. The I2 statistic was used to check heterogeneity and the inverse-variance method was used for the meta-analysis. The estimate of relative effect for dichotomous outcome was expressed as an odds ratio (OR).

RESULTS

The review included 24 publications. There were 4874 implants (257 failures) placed in hypertensive patients and 16,192 implants (809 failures) placed in normotensive patients. A pairwise meta-analysis showed that implants in hypertensive patients did not have a higher risk of failure than implants placed in normotensive patients (OR 1.100, p = 0.671). The log OR of implant failure between hypertensive and normotensive patients did not significantly change with the follow-up time (p = 0.824).

CONCLUSIONS

This review suggests that implants in hypertensive patients do not present higher odds of failure in comparison to normotensive patients. However, further research on this topic, with the use of more rigorous criteria to diagnose patients as being hypertensive, as well as clearer information about the pharmacological management of the condition in the patients, is recommended.

An Update on Drug-Nutrient Interactions and Dental Decay in Older Adults

In recent decades, the global demographic landscape has undergone a discernible shift that has been characterised by a progressive increase in the proportion of elderly individuals, indicative of an enduring global inclination toward extended lifespans. The aging process, accompanied by physiological changes and dietary patterns, contributes to detrimental deviations in micronutrient consumption. This vulnerable aging population faces heightened risks, including dental caries, due to structural and functional modifications resulting from insufficient nutritional sustenance. Factors such as physiological changes, inadequate nutrition, and the prevalence of multiple chronic pathologies leading to polypharmacy contribute to the challenge of maintaining an optimal nutritional status. This scenario increases the likelihood of drug interactions, both between medications and with nutrients and the microbiome, triggering complications such as dental decay and other pathologies. Since the drug industry is evolving and new types of food, supplements, and nutrients are being designed, there is a need for further research on the mechanisms by which drugs interfere with certain nutrients that affect homeostasis, exemplified by the prevalence of caries in the mouths of older adults. Infectious diseases, among them dental caries, exert serious impacts on the health and overall quality of life of the elderly demographic. This comprehensive review endeavours to elucidate the intricate interplay among drugs, nutrients, the microbiome, and the oral cavity environment, with the overarching objective of mitigating the potential hazards posed to both the general health and dental well-being of older adults. By scrutinising and optimising these multifaceted interactions, this examination aims to proactively minimise the susceptibility of the elderly population to a spectrum of health-related issues and the consequences associated with dental decay.

Association of selective serotonin reuptake inhibitor use with marginal bone level changes around osseointegrated dental implants: A retrospective study

BACKGROUND

Selective serotonin reuptake inhibitors (SSRIs) are used for the management of anxiety and depression. Existing evidence shows their negative impact on implant osseointegration, survival rates, and peri-implant health. Currently, there are limited data on their effect on peri-implant marginal bone levels. The primary goal of this retrospective study is to evaluate the association between SSRIs use and marginal bone level (MBL) changes around osseointegrated dental implants over time.

METHODS

Records from patients who received at least one dental implant between 2010 and 2021 were reviewed. Information related to medical history, SSRI use, and the implant site was obtained from patients' electronic charts. Mesial and distal MBLs were measured relative to the implant platform on digital intraoral radiographs, taken at the time of prosthesis installation and at the most recent follow-up visit. MBL changes were calculated.

RESULTS

A total of 152 dental implants from 105 patients were included. The mean follow-up period was 46.97 ± 21.87 months. The mean MBL change was significantly greater for SSRI users (0.41 ± 0.76 mm) compared to non-users (0.04 ± 0.65 mm) [MD = 0.37 mm, p = 0.00, 95% CI: (-0.61)-(-0.15 mm)]. Mesial MBL change of 0.42 ± 0.84 mm and 0.02 ± 0.71 mm was noted for SSRI users and non-users, respectively. The distal MBL change was 0.4 ± 0.93 mm and 0.07 ± 0.73 mm, respectively. Smoking, sex, and implant location did not seem to influence the MBL differences between groups.

CONCLUSIONS

Use of SSRIs is associated with greater marginal bone loss around osseointegrated dental implants in function for a mean period of 3.8 years.

Selective Serotonin Reuptake Inhibitors and Dental Implant Failure: A Systematic Review and Meta-Analysis

Selective serotonin reuptake inhibitors (SSRI) are commonly prescribed to treat mental health disorders, and previously published literature, although scarce, has shown a significant association between SSRI use and dental implant failure. This systematic review and meta-analysis aimed to examine whether such an association exists and, if so, to determine its strength. Reviewers performed an extensive search of the literature, last accessed in June 2022 in PubMed/Medline, Embase, and Cochrane databases using MeSH terms. Retrospective and prospective observational cohort and experimental studies evaluating the role of SSRI on dental implant failure among individuals ≥18 years of age, with a minimum follow-up of 6 months after implant placement, were deemed eligible. The search yielded a total of 6 eligible studies, all retrospective cohorts. Statistical analyses were performed using the statistical software R 4.1.3. Results showed higher implant failure rates among SSRI users vs non-SSRI users at both the patient level (5.6%-19.6% vs 1.9%-8.0%) and the implant level (5.6%-12.5% vs 1.9%-5.8%). The pooled relative risk (RR) of implant failure was more than double among SSRI users at the patient level (pooled RR: 2.44, 95% confidence interval [CI]: 1.68-3.55, P < .01) and at the implant level (pooled RR: 2.34, 95% CI: 1.74-3.15, P < .01) compared with non-SSRI users. DerSimonian and Laird estimates showed homogeneity of the studies (I2 = 0%, P > .05), and funnel plots and Egger's test determined no publication bias across all selected studies at both patient and implant levels. In conclusion, SSRI use is significantly associated with higher implant failure. Providers should be aware of this association and educate patients on the risk of implant therapy when obtaining informed consent.

Periodontal and peri-implant status and whole salivary interleukin 1-beta levels among individuals using selective serotonin reuptake inhibitors: an observational study

OBJECTIVE

Selective serotonin reuptake inhibitors (SSRI) are commonly used for managing psychological diseases such as depression. These disorders are also directly associated with periodontal and peri-implant diseases, namely periodontitis and peri-implantitis, respectively. It is hypothesized that there is no difference in periodontal and peri-implant clinicoradiographic status and unstimulated whole salivary interleukin (IL)-1β levels in participants using selective serotonin reuptake inhibitors (SSRI) and controls (individuals not using SSRI). The aim of the present observational case-control study was to compare periodontal and peri-implant clinicoradiographic statuses and whole salivary IL-1β in participants using SSRI and controls.

METHODS

Users of SSRI and controls were included. In all participants, periodontal (plaque index [PI], gingival index [GI], probing depth [PD], clinical attachment loss [AL] and marginal bone loss [MBL]) and peri-implant (modified PI [mPI], modified GI [mGI], PD and crestal bone loss [CBL]) were assessed. Unstimulated whole saliva was collected and IL-1β levels were determined. Information related to duration of implants in function, duration of depressive symptoms and treatment of depression was retrieved from healthcare records. Sample-size was estimated using 5% error and group comparisons were performed. P < 0.05 was considered statistically significant.

RESULTS

Thirty-seven SSRI users and 35 controls were assessed. Individuals using SSRI had a history of depression of 4.2 ± 2.5 years. The mean age of SSRI-users and controls were 48.7 ± 5.7 and 45.3 ± 5.1 years, respectively. Tooth brushing twice daily was reported by 75.7% and 62.9% SSRI-users and controls, respectively. There was no statistically significant difference in PI, mPI, GI, mGI, PD, clinical AL, numbers of MT and mesial and distal MBL and CBL among individuals using SSRI compared with controls (Tables 3 and 4). The unstimulated whole salivary flow rate in individuals using SSRI and controls was 0.11 ± 0.003 and 0.12 ± 0.001 ml/min, respectively. Whole salivary IL-1β levels in individuals using SSRI and controls were 57.6 ± 11.6 pg/ml and 34.6 ± 5.2 pg/ml, respectively.

CONCLUSION

Users of SSRI and controls demonstrate healthy periodontal and peri-implant tissue statuses with no marked differences in whole salivary IL-1β levels provided oral hygiene is stringently maintained.

Drug-associated bone resorption with potential dental and implant implications

Every year more and more innovative pharmacological agents are introduced medicine, to treat systemic diseases. Due to these rapid and recent advancements, many patients are receiving treatment with a high variety of drugs, such as selective serotonin reuptake inhibitors, bisphosphonates, tumor necrosis factor (TNF)-α inhibitors, cyclosporine, and steroids. Since implant and osseous surgery are common treatment modalities used, within dentistry, it is of critical important to acknowledge and discuss the potential effects of selective serotonin reuptake inhibitors, bisphosphonates, TNF-α inhibitors, cyclosporine, and steroids, on bone healing. The present paper discusses the possible detrimental ramifications and risks these drug classes may have on bone healing.

The effect of the use of proton pump inhibitors, serotonin uptake inhibitors, anti-hypertensive, and anti-inflammatory drugs on clinical outcomes of functional dental implants: a retrospective study

OBJECTIVE

The present retrospective study investigated the effect of chronic intake of proton pump inhibitors, selective serotonin uptake inhibitors, anti-inflammatory, and anti-hypertensive drugs on the survival of dental implants and on the occurrence of peri-implantitis.

MATERIALS AND METHODS

Survival analyses for implant failure and peri-implantitis were performed patient level for each drug subcategory and for risk factors. The HR for each drug was calculated with adjusted models as compared to a control group made of subjects not assuming the specific drug. Multilevel logistic regression was used to explore the influence of implant-level and patient-level variables on the outcomes.

RESULTS

A total of 270 subjects receiving 1118 dental implants were included, with a mean follow-up time of 5.19 ± 4.22 years. After 10 years, the survival rate was 86.9% (patient level) and, according to survival analysis, 61.3% of subjects were free from peri-implantitis. The use of anti-inflammatory medicines produced a significant effect (P = 0.04) on peri-implantitis as compared to subjects not using the drug, with a 2.7 year drop of the mean survival time. The HR was slightly above the level of significance in a semi-adjusted model (P = 0.058). The multilevel analysis found a significant effect on the entire sample and not when considering only subjects with implants with more than 1 year follow-up.

CONCLUSIONS

We found a possible relationship between anti-inflammatory drugs use and the occurrence of peri-implantitis in the examined cohort of patients, and no correlation for the other drugs.

Effects of Drugs and Chemotherapeutic Agents on Dental Implant Osseointegration: Narrative Review

BACKGROUND

Dental implants have been one of the most popular treatments for rehabilitating individuals with single missing teeth or fully edentulous jaws since their introduction. As more implant patients are well-aged and take several medications due to various systemic conditions, clinicians should be mindful of possible drug implications on bone remodeling and osseointegration.

OBJECTIVE

The present study aims to study and review some desirable and some unwelcomed implications of medicine on osseointegration.

METHODS

A broad search for proper relevant studies were conducted in four databases, including Web of Science, Pubmed, Scopus, and Google Scholar.

RESULTS

Some commonly prescribed medicines such as nonsteroidal anti-inflammatory drugs (NSAIDs), glucocorticoids, proton pump inhibitors (PPIs), selective serotonin reuptake inhibitors (SSRIs), anticoagulants, metformin, and chemotherapeutic agents may jeopardize osseointegration. On the contrary, some therapeutic agents such as anabolic, anti-catabolic, or dual anabolic and anti-catabolic agents may enhance osseointegration and increase the treatment's success rate.

CONCLUSION

Systemic medications that enhance osseointegration include mineralization promoters and bone resorption inhibitors. On the other hand, medications often given to the elderly with systemic problems might interfere with osseointegration, leading to implant failure. However, to validate the provided research, more human studies with a higher level of evidence are required.

Smoking and Dental Implants: A Systematic Review and Meta-Analysis

Background and Objectives: Tobacco is today the single most preventable cause of death, being associated with countless diseases, including cancer and neurological, cardiovascular, and respiratory diseases. Smoking also brings negative consequences to oral health, potentially impairing treatment with dental implants. The present review aimed to evaluate the influence of smoking on dental implant failure rates and marginal bone loss (MBL). Materials and Methods: Electronic search was undertaken in three databases, plus a manual search of journals. Meta-analyses were performed, in addition to meta-regressions, in order to verify how the odds ratio (OR) and MBL were associated with follow-up time. Results: The review included 292 publications. Altogether, there were 35,511 and 114,597 implants placed in smokers and in non-smokers, respectively. Pairwise meta-analysis showed that implants in smokers had a higher failure risk in comparison with non-smokers (OR 2.402, p < 0.001). The difference in implant failure between the groups was statistically significant in the maxilla (OR 2.910, p < 0.001), as well as in the mandible (OR 2.866, p < 0.001). The MBL mean difference (MD) between the groups was 0.580 mm (p < 0.001). There was an estimated decrease of 0.001 in OR (p = 0.566) and increase of 0.004 mm (p = 0.279) in the MBL MD between groups for every additional month of follow-up, although without statistical significance. Therefore, there was no clear influence of the follow-up on the effect size (OR) and on MBL MD between groups. Conclusions: Implants placed in smokers present a 140.2% higher risk of failure than implants placed in non-smokers.

Dental Implants Inserted in Fresh Extraction Sockets versus Healed Sites: A Systematic Review and Meta-Analysis

The present review aimed to evaluate the difference of dental implant failure rates and marginal bone loss (MBL) between implants inserted in fresh extraction sockets or healed sites. Electronic search was undertaken in three databases, plus manual search of journals, including studies randomized or not. Meta-analyses were performed besides meta-regressions, in order to verify how the odds ratio (OR) and MBL were associated with follow-up time. The review included 163 publications. Altogether, there were 17,278 and 38,738 implants placed in fresh extraction sockets and healed sites, respectively. Pairwise meta-analyses showed that implants in sockets had a higher failure risk in comparison to healed sites: OR 1.349, all studies included; OR 2.070, only prospective non-RCTs; OR 2.487, only RCTs (all p < 0.001). The difference in implant failure between the groups was statistically significant in the maxilla (OR 1.616, p = 0.029), but not in the mandible (OR 2.192, p = 0.075). The MBL mean difference (MD) between the groups was −0.053 mm (p = 0.089). There was an estimated decrease of 0.003 in OR (p = 0.284) and an increase of 0.006 mm (p = 0.036) in the MBL MD between groups for every additional month of follow-up. In conclusion, implants placed in fresh extraction sockets present higher risk of failure than implants placed in healed sites.

Association of different antidepressant classes with clinical attachment level and alveolar bone loss in patients with periodontitis: A retrospective study

OBJECTIVE

Our study aimed to determine the relationship of antidepressant medicine use with periodontal diseases, exploring the association of different pharmacological classes of antidepressant with observations of clinical attachment loss (CAL) and alveolar bone level (BL) in patients with periodontitis.

BACKGROUND

Existing evidence on the impact of antidepressant medication on periodontal tissues has focused on some classes only and is still unclear. Therefore, this retrospective study evaluated the association of different antidepressant classes with clinical attachment loss (CAL) and alveolar bone level (BL).

METHODS

This study was carried out in a population of patients aged ≥ 30 years old with periodontitis who sought treatment at the University of Florida from 2014 to 2018. The following variables were obtained from patients' records; usage of antidepressant medications and their pharmacological classes (selective serotonin reuptake inhibitors [SSRI], serotonin-norepinephrine reuptake inhibitors [SNRI], tricyclic, atypical, and monoamine oxidase inhibitors [MAO]), age, gender, smoking habit, mild systemic diseases, CAL, and cement-enamel junction (CEJ) and alveolar bone crest (BC) distance, defined as BL, in the Ramfjord index teeth.

RESULTS

Five hundred and eighty-two periodontitis patients were evaluated, of which 113 (19.4%) were antidepressant users. Antidepressant users exhibited significantly lower BL and fewer sites with severe CAL (≥5 mm), than non-users (p < .05). Among all single-class antidepressant users, the SSRI users showed significantly less CAL and lower BL than non-users (p < .05). Patients taking combinations of the different classes of antidepressants also showed better CAL and BL than non-users. Generalized linear models, including variables such as gender, age, systemic diseases, and smoking, demonstrated that antidepressant users were more likely to have lower mean BL and fewer sites with severe bone loss (i.e. BL > 3 and >5 mm) than non-users (p < .05).

CONCLUSIONS

Antidepressant medications were associated with higher alveolar bone level and less clinical attachment loss in patients with periodontitis. When the different classes of antidepressants were analyzed individually, only the SSRI class users and the multiple-class users showed significantly less periodontal breakdown than non-users.

Update on Management of the Oral and Maxillofacial Surgery Patient on Selective Serotonin Reuptake Inhibitors

Selective serotonin reuptake inhibitors (SSRIs) have been the cornerstone for the treatment of depression, anxiety, obsessive-compulsive disorder, and panic disorder for a wide spectrum of age groups. Although the beneficial therapeutic properties are well recognized by the medical community, it also possesses many undesirable adverse effects with clinical manifestations. Some of the effects can be severe. This chapter highlights use of SSRIs, the mechanism of action, medication dosages, common drug to drug interactions, and recommendations on management of the oral and maxillofacial surgery patient on SSRIs.

The Impact of Dental Implant Length on Failure Rates: A Systematic Review and Meta-Analysis

The present review aimed to evaluate the impact of implant length on failure rates between short (<10 mm) and long (≥10 mm) dental implants. An electronic search was undertaken in three databases, as well as a manual search of journals. Implant failure was the outcome evaluated. Meta-analysis was performed in addition to a meta-regression in order to verify how the risk ratio (RR) was associated with the follow-up time. The review included 353 publications. Altogether, there were 25,490 short and 159,435 long implants. Pairwise meta-analysis showed that short implants had a higher failure risk than long implants (RR 2.437, p < 0.001). There was a decrease in the probability of implant failure with longer implants when implants of different length groups were compared. A sensitivity analysis, which plotted together only studies with follow-up times of 7 years or less, resulted in an estimated increase of 0.6 in RR for every additional month of follow-up. In conclusion, short implants showed a 2.5 times higher risk of failure than long implants. Implant failure is multifactorial, and the implant length is only one of the many factors contributing to the loss of an implant. A good treatment plan and the patient’s general health should be taken into account when planning for an implant treatment.

Implant survival in patients with neuropsychiatric, neurocognitive, and neurodegenerative disorders: A meta-analysis

Neurologic disorders impede oral hygiene measures and routine clinical follow-up, along with the various drugs used may jeopardise oral health and the peri- implant tissue health. A total of 7 studies were considered eligible for the current systematic review. The overall estimated effect was categorized as significant where P < 0.05. Funnel plot was used to assess the publication bias within the studies. Difference in means was used as principal summary measure. P value <0.05 was considered as statistically significant. 1069 implants survived in test group and 4677 implants survived in control group (odds ratio: 2.58, 95% CI: 1.93-3.43) indicating significant success in patient without any disorders or taking medications for these disorders. Subgroup analysis was done to check the implant survival rate in patients taking selective serotonin reuptake inhibitors (SSRI) compared with SSRI non-users. Subgroup analysis showed that SSRI non-users had higher implant survival rate than patients taking SSRI (odds ratio: 2.45, 95% CI: 1.82-3.31). Serotonin significantly inhibits bone mineralization and osteoblast differentiation. The presence of any form of neuropsychiatric or neuromuscular disorders precludes proper oral hygiene and may contribute towards implant failure.

Osseointegration Pharmacology: A Systematic Mapping Using Artificial Intelligence

Clinical performance of osseointegrated implants could be compromised by the medications taken by patients. The effect of a specific medication on osseointegration can be easily investigated using traditional systematic reviews. However, assessment of all known medications requires the use of evidence mapping methods. These methods allow assessment of complex questions, but they are very resource intensive when done manually. The objective of this study was to develop a machine learning algorithm to automatically map the literature assessing the effect of medications on osseointegration. Datasets of articles classified manually were used to train a machine-learning algorithm based on Support Vector Machines. The algorithm was then validated and used to screen 599,604 articles identified with an extremely sensitive search strategy. The algorithm included 281 relevant articles that described the effect of 31 different drugs on osseointegration. This approach achieved an accuracy of 95%, and compared to manual screening, it reduced the workload by 93%. The systematic mapping revealed that the treatment outcomes of osseointegrated medical devices could be influenced by drugs affecting homeostasis, inflammation, cell proliferation and bone remodeling. The effect of all known medications on the performance of osseointegrated medical devices can be assessed using evidence mappings executed with highly accurate machine learning algorithms.

Medically Complex Dental Implant Patients: Controversies About Systemic Disease and Dental Implant Success/Survival

Advances in dental implant therapy have created choices to enhance the expectations of dental practitioners and their patients with respect to oral rehabilitation at any age after childhood and regardless of, in most cases, medical disabilities. The medical status of the patient however can significantly influence the success rate of dental implant therapy. This article applies the hierarchy of scientific evidence ranging from case reports, retrospective, prospective cohort investigations, systematic reviews, and meta-analyses criteria in order to determine whether dental implant placement in medically compromised patients yields any detrimental sequelae.

Effects of different antidepressant classes on dental implant failure: A retrospective clinical study

BACKGROUND

Previous studies have suggested an association between taking antidepressants and dental implant failure. This study aimed to investigate the association of different antidepressant classes with dental implant failure.

METHODS

This retrospective study included patients that received dental implants at the University of Florida from 2011 to 2016. The variables of implant failure, antidepressant use and classes (selective serotonin reuptake inhibitors [SSRI], serotonin-norepinephrine reuptake inhibitors [SNRI], tricyclic antidepressants [TCA], atypical antidepressants [AA], and monoamine oxidase inhibitors [MAOI]), age, sex, smoking, mild systemic diseases, and implant location were obtained from patients' records. Odds ratio (OR) and confidence interval (CI) of implant failure in patients taking different antidepressant classes, in relationship to non-antidepressant users, were estimated, and the influence of multiple variables on implant failure were investigated.

RESULTS

A total of 771 patients and 1,820 implants were evaluated. The statistically significant predictors for implant failure included smoking (OR = 5.221), use of antidepressants (OR = 4.285), posterior maxilla location (OR = 2.911), mild systemic disease (OR = 2.648), and age (OR = 1.037) (P <0.05). The frequency of implant failure was 33.3% in TCA users, 31.3% in SNRI users, 6.3% in SSRI users, 5.2% in Atypical antidepressant users, and 3.9% in non-users. Significant associations were observed between the use of SNRI (OR: 11.07; 95% CI: 3.265 to 33.82) and TCA (OR: 12.16; 95% CI: 1.503 to 71.58) and implant failure (P <0.05).

CONCLUSIONS

Users of antidepressants were at higher risk of implant failure than non-users. Patients taking SNRI and TCA were at the highest risk of implant loss, when compared with non-users. Conclusions about TCA, however, are based on a limited number of cases.

The impact of the alveolar bone sites on early implant failure: a systematic review with meta-analysis

Dental implants are the first option for replacement of missing teeth. Failure usually involves additional cost and procedures. As a result, the physician should limit the risk factors associated with implant failures. Implant site is one of many factors that can influence the success or failure of dental implants. The association between early implant failure (EIF) and implant site has yet to be documented. This review aims to estimate the impact of insertion site on the percentage of EIFs. An electronic and manual search of studies that reported early failure of dental implants based on collection site. A total of 21 studies were included in the review and examined for the association between EIF and alveolar site. Subgroup analysis, including a comparison between implants inserted in four alveolar ridge regions of both jaws was performed. The early failure rate was higher for maxillary implants (3.14%) compared to mandibular implants (1.96%). Applying a random effect, risk ratio (RR), and confidence interval (CI) of 95% revealed higher failure in the maxilla compared to the mandible (RR 1.41; 95% CI [1.19, 1.67]; P<0.0001; I²=58%). The anterior maxilla is more critical for early implant loss than other alveolar bone sites. Implants in the anterior mandible exhibited the best success rate compared of the sites.

Is there an association between the use of antidepressants and complications involving dental implants? A systematic review and meta-analysis

The aim of this systematic review was to evaluate published evidence on the association between the use of antidepressants and complications involving dental implants. Two reviewers independently performed electronic searches of the MEDLINE/PubMed, Cochrane Library, and Scopus databases for relevant articles published up to May 30, 2019. This review was conducted in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. The Newcastle-Ottawa Scale was used for the appraisal of the methodological quality of the studies included. A meta-analysis was performed to determine the risk of dental implant failure in individuals taking antidepressants. Five comparative observational studies were selected for this review; these included a total of 2056 participants with 5302 implants. The results suggest a risk ratio of 3.73 (95% confidence interval 1.85-7.52, P=0.0002) for implant failure in antidepressant users submitted to oral rehabilitation when compared to non-users. However, these studies did not present methodological rigour or standardize the drugs used. Thus, there is insufficient evidence for an association between antidepressant use and dental implant complications.

The effect of selective serotonin reuptake inhibitors on the human mandible

OBJECTIVES

Selective serotonin reuptake inhibitors (SSRI) are a group of drugs that selectively and strongly block the serotonin transporter. Aim of this study was to evaluate the mandibular bone structure of patients who are using SSRIs with fractal analysis and panoramic morphometric indices [mandibular cortical width (MCW), panoramic mandibular index (PMI) and Klemetti index (KI)] and to compare with control group.

METHODS

Patients who declared using SSRIs for more than six months had been included in the study group. In total, 212 dental panoramic radiographs (DPR) were assessed. For fractal analysis; three regions of interest (ROIs) were determined: ROI1 and ROI2 were chosen within trabecular bone, ROI3 was selected from cortical bone. MCW, PMI, and KI were obtained from DPRs. The study group was categorized into five subgroups of various SSRIs. The fractal dimension (FD) values and panoramic morphometric indices of these subgroups were also compared.

RESULTS

There was no significant difference between the groups for age and gender (p = 0.57, p = 0.5). There were significant differences in the mean FD values between the study and control groups both for the ROI1 and ROI2 (p < 0.01, p < 0.01). There was no significant difference between the groups for the mean FD value of ROI3, MCW, PMI and KI (p = 0.93, p = 0.98, p = 0.74, p = 0.06). There were no significant differences for all the values between the SSRI subgroups (p = 0.52, p = 0.7, p = 0.76, p = 0.24, p = 0.31, p = 0.08) CONCLUSIONS: Trabecular rich sites of the mandible were found to be affected by SSRI usage.

Early implant failure: a retrospective analysis of contributing factors

Purpose

The aim of this retrospective study was to determine the prevalence of early implant failure using a single implant system and to identify the factors contributing to early implant failure.

Methods

Patients who received implant treatment with a single implant system (Luna^®, Shinhung, Seoul, Korea) at Dankook University Dental Hospital from 2015 to 2017 were enrolled. The following data were collected for analysis: sex and age of the patient, seniority of the surgeon, diameter and length of the implant, position in the dental arch, access approach for sinus-floor elevation, and type of guided bone regeneration (GBR) procedure. The effect of each predictor was evaluated using the crude hazard ratio and the adjusted hazard ratio (aHR) in univariate and multivariate Cox regression analyses, respectively.

Results

This study analyzed 1,031 implants in 409 patients, who comprised 169 females and 240 males with a median age of 54 years (interquartile range [IQR], 47–61 years) and were followed up for a median of 7.2 months (IQR, 5.6–9.9 months) after implant placement. Thirty-five implants were removed prior to final prosthesis delivery, and the cumulative survival rate in the early phase at the implant level was 95.6%. Multivariate regression analysis revealed that seniority of the surgeon (residents: aHR=2.86; 95% confidence interval [CI], 1.37–5.94) and the jaw in which the implant was placed (mandible: aHR=2.31; 95% CI, 1.12–4.76) exerted statistically significant effects on early implant failure after adjusting for sex, age, dimensions of the implant, and type of GBR procedure (preoperative and/or simultaneous) (P<0.05).

Conclusions

Prospective studies are warranted to further elucidate the factors contributing to early implant failure. In the meantime, surgeons should receive appropriate training and carefully select the bone bed in order to minimize the risk of early implant failure.

Are There Contraindications for Placing Dental Implants?

There are few absolute contraindications to dental implant placement. Relative contraindications include cognitive decline, American Society of Anesthesiology patient status IV or higher categories, or medical conditions that may jeopardize the life or lifespan of the patient. Precautions for placing dental implants should be viewed with respect to the evidence-based exposures that can contribute to risk of failure, including but not limited to local, behavioral, and medical factors. Risk for dental implant failure increases in association with (1) past history of periodontal disease, (2) bruxism, (3) smoking, and (4) radiation therapy.

Medication-related dental implant failure: Systematic review and meta-analysis

OBJECTIVES

The aim of this systematic review was to investigate the association between the intake of systemic medications that may affect bone metabolism and their subsequent impact on implant failures.

MATERIAL AND METHODS

Electronic and manual literature searches were conducted. Implant failure (IF) was the primary outcome, while biological/mechanical and the causes/timing associated with IF were set as secondary outcomes. Meta-analyses for the binary outcome IF and odds ratio were performed to investigate the association with medications.

RESULTS

A final selection of 17 articles was screened for qualitative assessment. As such, five studies focused on evaluating the association of implant failure and non-steroidal anti-inflammatory drugs (NSAIDs), two on selective serotonin reuptake inhibitors (SSRIs), two on proton pump inhibitors (PPIs), seven on bisphosphonates (BPs), and one on anti-hypertensives (AHTNs). For PPIs, the fixed effect model estimated a difference of IF rates of 4.3%, indicating significantly higher IF rates in the test compared to the control group (p < 0.5). Likewise, for SSRIs, the IF was shown to be significantly higher in the individuals taking SSRIs (p < 0.5) as estimated a difference of 7.5%. No subset meta-analysis could be conducted for AHTNs medications as only one study fulfilled the inclusion criteria, which revealed an increased survival rate of AHTN medication. None of the other medications yielded significance.

CONCLUSIONS

The present systematic review showed an association of PPIs and SSRIs with an increased implant failure rate. Hence, clinicians considering implant therapy should be aware of possible medication-related implant failures.

Evaluation of jawbone morphology and bone density indices in panoramic radiographs of selective serotonin reuptake inhibitor users: a preliminary study

OBJECTIVES:

To assess the influence of selective serotonin reuptake inhibitor (SSRI) use on jawbone and bone mineral density by retrospective analysis of panoramic radiographs.

METHODS:

Radiographic and clinical records were sourced from the Division of Orthodontics and TMJD, Eastman Institute for Oral Health, University of Rochester. Randomly selected adults (20-65 years) were categorized into: "Active" (with history of SSRI use of >6 months) and a "Control" group. Panoramic indices: Klemetti index (KI), panoramic mandibular index, antegonial notching index, condylar pathology, mandibular cortical width (MCW)⁠ and mean ramus height were recorded. Frequency-weighted Χ2 tests and multinomial regression controlling for age and gender were applied to categorical indices (KI, condylar pathology, antegonial notching index). Multivariate generalized linear modeling was applied to mean ramus height, MCW and panoramic mandibular index. Multiple regression analyses determined: (a) panoramic indices that best predicted SSRI use, and (b) independent predictors of KI category.

RESULTS:

64 SSRI users and 48 Controls were assessed. SSRI users had significantly higher odds of having worse KI status than normal [mildly to moderately eroded cortex: odds ratio (OR) = 2.926, 95% CI (1.07-8.04) and severely eroded cortex: OR = 19.86, 95% CI (3.91-100.69)], more frequent flat condylar anatomy (right side: p = 0.009, left side: p < 0.001) but greater ramus height (p = 0.001) and mandibular cortical width (p = 0.032). Age, gender, SSRI use each significantly impacted KI. Only SSRI use significantly impacted condylar pathology, ramus height and MCW. KI category (OR = 1.3) was the best panoramic predictor of SSRI use. Conversely, KI category C3 was significantly predicted by SSRI use (OR = 31.2, p = 0.002), female gender (17.5, p = 0.006), and severe antegonial notching (OR = 1289, p < 0.001).

CONCLUSIONS:

SRRI use was significantly associated with worse panoramic morphometric indices: KI, condylar pathology, ramus height, and MCW, where KI was its strongest predictor. Worse KI was independently predicted by SSRI use.

Ten-year survival of immediate-loading implants in fully edentulous mandibles in the Japanese population: a multilevel analysis

PURPOSE

To evaluate the long-term clinical results of and risk factors for immediate-loading implant treatment of completely edentulous mandibles.

METHODS

We retrospectively studied 220 implants in 52 patients who received immediate-loading implants in fully edentulous mandibles. Kaplan-Meier survival analyses, log-rank tests, and multilevel mixed-effects parametric survival analysis was used for statistical analyses.

RESULTS

Thirteen of implants in seven patients failed, and the 10-year cumulative implant survival rate was 93.9 % and significantly (p=0.049) higher in women than in men. None of the predictor variables were significantly associated with implant survival, although sex tended to be associated with implant survival.

CONCLUSIONS

Immediate-loading implant treatment for completely edentulous mandibles had acceptable clinical results in the long term. Although we could not identify significant risk factors, we established a multilevel mixed-effects parametric survival analysis with the immediate-loading implant survival data.

Does the Intake of Selective Serotonin Reuptake Inhibitors Negatively Affect Dental Implant Osseointegration? A Retrospective Study

The success of osseointegration is influenced by several factors that affect bone metabolism and by certain systemic medications. Selective serotonin reuptake inhibitors (SSRIs) have been previously suggested to be among these medications. This study aims to investigate the association between systemic intake of SSRIs and failure of osseointegration in patients rehabilitated with dental implants. A retrospective cohort study was conducted, including a total of 2055 osseointegrated dental implants in 631 patients (109 implants in 36 SSRI \users and 1946 in 595 nonusers). Predictor and outcome variables were SSRI intake and osseointegration failure, respectively. The data were analyzed with Mann–Whitney test or Fisher exact test accordingly. Both patient-level and implant-level models were implemented to evaluate the effect of SSRI exposure on the success of osseointegration of dental implants. Median duration of follow-up was 21.5 months (range = 4–56 months) for SSRI users and 23 months (range –60 months) for nonusers (P = .158). Two of 36 SSRI users had 1 failed implant each; thus, the failure rate was 5.6%. Eleven nonusers also had 1 failed implant each; thus, the failure rate was 1.85%. The difference between the 2 groups failed to reach statistical significance at patient and implant levels (P = .166, P = .149, respectively). The odds of implant failure were 3.123 times greater for SSRI users compared with nonusers. Patients using SSRIs were found to be 3.005 times more likely to experience early implant failure than nonusers. The results of this study suggest that SSRIs may lead to increase in the rate of osseointegration failure, although not reaching statistical significance.

Selective serotonin reuptake inhibitors and dental implant failure-A significant concern in elders?

OBJECTIVE

Depression is a significantly prevalent health concern in geriatric populations. Selective serotonin reuptake inhibitor drugs (SSRI) are the most commonly prescribed antidepressant agents, with increasing rates of prescription. The present report aimed to present a concise review of the current understanding regarding SSRI effects on bone and dental implant outcomes.

MATERIALS AND METHODS

A broad-based review and summary of literature pertaining to the effects of SSRI on bone metabolism and on dental implant survival was performed.

RESULTS

The available literature indicates that serotonin plays a significant role in bone metabolism and experimental reports demonstrate adverse impacts of SSRI on multiple pathways of bone metabolism. Early clinical reports suggest detrimental effects of SSRI on dental implant survival. The type of SSRI drug, dosage and host-related genetic and metabolic factors could be potential modulating factors. There is a paucity of data regarding SSRI usage and dental implant survival specific to geriatric cohorts.

CONCLUSION

As older individuals comprise a high-risk group for both high oral rehabilitation and SSRI use, clinicians should be aware the potential association between SSRI and dental implant failures. Well-designed investigations specific to geriatric cohorts are essential to understand the implications of SSRI use on dental implant prognosis.