scholarly journals Role of selective serotonin reuptake inhibitors in prognosis dental implants: A retrospective study

2021 ◽  
Vol 13 (5) ◽  
pp. 92
Author(s):  
Archana Kumari ◽  
Praveen Chandra ◽  
Sonali Roy ◽  
Ritika Agarwal ◽  
Aartika Singh ◽  
...  
2014 ◽  
Vol 93 (11) ◽  
pp. 1054-1061 ◽  
Author(s):  
X. Wu ◽  
K. Al-Abedalla ◽  
E. Rastikerdar ◽  
S. Abi Nader ◽  
N.G. Daniel ◽  
...  

Selective serotonin reuptake inhibitors (SSRIs), the most widely used drugs for the treatment of depression, have been reported to reduce bone formation and increase the risk of bone fracture. Since osseointegration is influenced by bone metabolism, this study aimed to investigate the association between SSRIs and the risk of failures in osseointegrated implants. This retrospective cohort study was conducted on patients treated with dental implants from January 2007 to January 2013. A total of 916 dental implants in 490 patients (94 implants on 51 patients using SSRIs) were used to estimate the risk of failure associated with the use of SSRIs. Data analysis involved Cox proportional hazards, generalized estimating equation models, multilevel mixed effects parametric survival analysis, and Kaplan-Meier analysis. After 3 to 67 mo of follow-up, 38 dental implants failed and 784 succeeded in the nonusers group, while 10 failed and 84 succeeded in the SSRI-users group. The main limitation of this retrospective study was that drug compliance dose and treatment period could not be acquired from the files of the patients. The primary outcome was that compared with nonusers of SSRIs, SSRI usage was associated with an increased risk of dental implants failure (hazard ratio, 6.28; 95% confidence interval, 1.25-31.61; p = .03). The failure rates were 4.6% for SSRI nonusers and 10.6% for SSRI users. The secondary outcomes were that small implant diameters (≤4 mm; p = .02) and smoking habits ( p = .01) also seemed to be associated with higher risk of implant failure. Our findings indicate that treatment with SSRIs is associated with an increased failure risk of osseointegrated implants, which might suggest a careful surgical treatment planning for SSRI users.


2018 ◽  
Vol 44 (4) ◽  
pp. 260-265 ◽  
Author(s):  
Mehmet Ali Altay ◽  
Alper Sindel ◽  
Öznur Özalp ◽  
Nelli Yildirimyan ◽  
Dinçer Kader ◽  
...  

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.


Blood ◽  
2013 ◽  
Vol 122 (21) ◽  
pp. 5387-5387
Author(s):  
Mathew Zheng ◽  
Sarvari Venkata Yellapragada ◽  
Martha Mims ◽  
Ruben Hernandez Perez ◽  
Gustavo A. Rivero

Abstract Background Despite survival benefit provided by current treatments, clinical outcome remains dismal for most patients (pts) diagnosed with multiple myeloma (MM) and novel therapies are greatly needed. Cytokine microenvironment abnormalities, specifically IL-6 constitutive paracrine deregulation, has been implicated in disease pathogenesis and represents a promising therapeutic target in plasma cell dyscrasias.  Selective serotonin reuptake inhibitors have been shown to target deregulated cytokines in patients with depression by downregulating TNF and IL-6 levels. In MM treatment, early disease response, defined as at least 50% reduction in m-protein after 2 anti-myeloma therapy (A-MT) cycles, is associated with superior long-term outcomes.  In this study, we hypothesized that SSRIs could modulate m-protein normalization when combined with antimyeloma therapies. Herein, we report our single institution retrospective analysis of MM pts treated concurrently with novel therapies and SSRI agents. Methods   After IRB approval, all patients over 18 years diagnosed with MM from January 1, 2000 to December 31st 2012 were identified from the Michael E. Medical Center cancer registry.  39/189 (21%) pts were included for analysis and were considered to be in the selective reuptake inhibitor (SSRI positive) group if by the time of the analysis SSRI (fluoxetine, sertraline, paroxetine, citalopram) were concurrently administered along with A-MT. Pts who did not meet the above criteria were assigned to the SSRI negative group.  We analyzed the reduction of  m- protein from baseline to completion of 2 cycles of treatment in pts receiving or not receiving concurrent SSRI agents.  Association between degree of normalization in both studied groups were analyzed by 2-sample unequal variance t-test with P<0.05 considered as significant. Multivariate Cox regression analysis for intervening variables such as age and initial m-protein fraction size allowed assessment of the impact on magnitude of m-protein reduction in individual treatment groups. Results 7 and 32 pts were  identified as SSRI plus A-MT and only A-MT as of July 31st, 2012, respectively. Initial treatments are depicted in table 1. Median age at diagnosis was 62 years (range, 55-76) and 67 years (range, 39-89) for SSRI+ and SSRI- groups, respectively, P= 0.14, with  balanced baseline m-protein level at disease initiation in both groups (Table 1). Median m-protein reduction after 2 cycles of A-MT was 79% and 51% for the SSRI+ and SSRI- group, respectively, P=0.04 (Fig.1 A and B).  To adjust for possible confounding effect of less potent not novel A-MT, analysis of m-protein reduction after 2 cycles was performed for pts receiving only novel therapies, SSRI+ (N=6):iMDs plus dexamethasone (dex)[5]; Bortezomib (B) plus dex [1]  vs SSRI- (N=20),iMDs plus dex [14]; B+dex [5]; B[1] with median m-protein reduction of 79 % vs. 59% for SSRI+ vs. SSRI-, respectively, P=0.15 (Fig.1 C and D). For pts receiving 2 cycles of SSRI plus A-MT, age ≥ 60 years was favorably associated with deeper normalization of m-protein (P=0.01), which is independent of disease initiation m-protein burden (≥3 g/dL vs ≤ 3g/dL) by multivariate analysis. Conclusion Our study showed that more robust m-protein normalization is achieved after 2 cycles of combined A-MT(all therapies) plus SSRIs. A trend toward superior improvement in m-protein normalization was observed when compared to novel A-MT with SSRIs. Our work represents initial preclinical framework that suggests possible role of SSRIs as targeted antimyeloma directed therapy. Larger retrospective studies exploring the role of SSRIs plus A-MT in depth of responses are needed. Disclosures: No relevant conflicts of interest to declare.


2014 ◽  
Vol 180 (7) ◽  
pp. 696-704 ◽  
Author(s):  
Sean A. P. Clouston ◽  
Marcie S. Rubin ◽  
Cynthia G. Colen ◽  
Bruce G. Link

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