The Risk of Osseointegration in the Coronavirus Disease 19 Pandemic

COVID-19 as a factor associated with early dental implant failures: A retrospective analysis

OBJECTIVES

To analyze the effect of COVID-19 on early implant failures and identify potential risk factors for early implant failure, concerning patient- and implant-related factors.

MATERIALS AND METHODS

This retrospective study is based on 1228 patients who received 4841 implants between March 11, 2020, and April 01, 2022, at Erciyes University Faculty of Dentistry. COVID-19, age and gender of patients, smoking, diabetes, irradiation, chemotherapy, osteoporosis, the implant system, location, and characteristics of implants were recorded. At the implant level, univariate and multivariate generalized estimating equation (GEE) logistic regression was used to examine the effect of explanatory variables on early implant failure.

RESULTS

The early implant failure rate was 3.1% at the implant level and 10.4% at the patient level. Smokers showed a significantly higher incidence of early implant failures compared to nonsmokers. (odds ratio (OR; 95% CI): 2.140 (1.438-3.184); p < 0.001). Short implants (≤8 mm) had a higher risk of early implant failure than long implants (≥12 mm) (OR (95% CI): 2.089 (1.290-3.382); p = 0.003).

CONCLUSIONS

COVID-19 had no significant effect on early implant failure. Smoking and short implants were associated with a higher risk for early implant failures.

Association of Peri-Implant Health Status With COVID-19

OBJECTIVE

The aim of this research was to evaluate peri-implant health status in patients infected with COVID-19 and control patients (individuals without COVID-19).

METHODS

This observational investigation was performed in adults with (test group) and without (control group) COVID-19 infection having at least 1 functional dental implant. Self-reported education status and daily frequency of toothbrushing and flossing was determined. A questionnaire was administered to record demographic data, brushing/flossing frequency, and education status. Periodontal examination comprised full-mouth assessment of clinical attachment loss (CAL), plaque index (PI), probing depth (PD), and gingival index (GI). Peri-implant PD, modified PI, and modified gingival index were recorded. Loss of marginal and crestal bone around teeth and implants was also measured. Significance level was established for P < .05.

RESULTS

Seventy-three (41 males) and 71 (44 males) individuals were included in the test and control groups, respectively. Average ages of patients and controls were 44.6 ± 5.2 and 40.1 ± 3.1 years, respectively. University-level education was attained by 52 (75.3%) and 50 (70.4%) individuals in the test and control groups, respectively. Seventy (95.9%) and 68 (95.7%) patients and controls were brushing twice a day. Once-daily interproximal flossing was reported by 44 (60.3%) and 48 (67.6%) individuals in test and control groups. All participants had healthy periodontal and peri-implant tissues.

CONCLUSIONS

The study indicated that there are no short-term adverse effects on the peri-implant tissues due to acute COVID-19 infection, and further well-controlled longitudinal studies are needed to evaluate the long-term effect of the infection on these tissues.

What factors predict craniomandibular disorders in severe COVID-19 survivors after prolonged intubation?

PURPOSES

To estimate and identify predictors of craniomandibular disorders (CMDs) in severe COVID-19 survivors after prolonged intubation ≥ 1 week (SCOVIDS-PI).

METHODS

This retrospective study enrolled two cohorts of SCOVIDS-PIs with vs. without CMD during a one-year period. The predictor variables were demographic, dental, anesthetic, and laboratory parameters. The main outcome was presence of CMD until six post-PI months (yes/no). Appropriate statistics were computed with α = 95%.

RESULTS

The sample comprised 176 subjects aged 59.2 ± 17.2 years (range, 27-89; 11.9% with CMDs; 30.1% females). CMDs were significantly associated with (1) bilateral posterior tooth loss (P = 0; number needed to screen [NNS] = 1.6), (2) dentofacial skeletal class II/convex face (P = .01; NNS = 2.2), and (3) peak CRP during intensive care ≥ 40 mg/l (P = .01; NNS = 3.5). With combined predictors, NNS became 2 to 4.3.

CONCLUSIONS

Three predictors of CMDs in SCOVIDS-PIs: bilateral molar loss, convex face, and CRP ≥ 40 mg/l, indicate CMD screening and/or referral to a CMD specialist, regardless of patients' age, gender, underlying CMDs, or previous dental checkups. Screening ∼2 to 4 "SCOVIDS-PIs with ≥ one predictor" will identify one CMD events/patients during the first six post-PI months.