| Literature DB >> 34741680 |
Sophie Lembacher1, Steffen Schneider2, Steffen Lettner3, Katrin Bekes4.
Abstract
OBJECTIVES: The aim of this study was to retrospectively identify the prevalence, patterns, and accident types of traumatic dental injuries (TDIs) in children with primary teeth in Vienna, Austria.Entities:
Keywords: Austria; Dislocation; Incidence; Primary dentition; Tooth fracture; Traumatic dental injuries
Mesh:
Year: 2021 PMID: 34741680 PMCID: PMC8816748 DOI: 10.1007/s00784-021-04190-2
Source DB: PubMed Journal: Clin Oral Investig ISSN: 1432-6981 Impact factor: 3.606
Classification of dental trauma used in the present study [8]
| Type of trauma | Abbreviation |
|---|---|
Fracture Enamel infraction Crown fracture With pulp exposure No pulp exposure Crown-root fracture Root fracture Dislocation Concussion Subluxation Lateral dislocation Intrusion Extrusion Avulsion Combined injuries Fractures and dislocations simultaneously occurring within the same tooth at the same time | EF CFP CFX CRF RF CCS LOS LDL INT EXT AVU |
Fig. 1Age distribution of patients with regard to gender
Frequency of TDI occurrence per weekday
| Day of the week | |
|---|---|
Monday Tuesday Wednesday Thursday Friday Saturday Sunday | 31 26 24 34 41 30 34 |
Fig. 2Kernel density estimation (KDE) plot for the relative likelihood of a TDI per date
Fig. 3Time to treatment
Number of injured primary teeth per trauma and gender
| Number of injured primary teeth | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | 5 | ||||||
| % | % | % | % | % | ||||||
| All | 127 | 52 | 72 | 29 | 31 | 13 | 13 | 5 | 3 | 1 |
| Male | 79 | 54 | 41 | 28 | 18 | 12 | 6 | 4 | 2 | 1 |
| Female | 48 | 48 | 31 | 31 | 13 | 13 | 7 | 7 | 1 | 1 |
Fig. 4Distribution of traumatized teeth type per gender
Distribution of injury type
| Type of trauma | Classification | % | |
|---|---|---|---|
| Fracture | 92 | 23.0 | |
| EF | 1 | 1.1 | |
| CF | 48 | 52.2 | |
| CFP | 18 | 19.6 | |
| CRF | 19 | 20.7 | |
| RF | 3 | 3.3 | |
| Dislocation | 298 | 74.0 | |
| CCS | 33 | 11.1 | |
| LOS | 85 | 28.5 | |
| LDL | 61 | 20.5 | |
| INT | 52 | 17.4 | |
| EXT | 21 | 7.0 | |
| AVU | 43 | 14.4 | |
| Combined injury | 12 | 3.0 | |
| EF | 3 | 25.0 | |
| CF | 8 | 66.7 | |
| CFP | 1 | 8.3 | |
| LOS | 7 | 58.3 | |
| LDL | 3 | 25.0 | |
| INT | 2 | 16.7 |
Incidence matrix for TDI
| EF | 4 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 0 |
| CF | 0 | 56 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 0 | 0 |
| CFP | 0 | 0 | 19 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 |
| CRF | 0 | 0 | 0 | 19 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| RF | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 0 |
| CCS | 0 | 0 | 0 | 0 | 0 | 33 | 0 | 0 | 0 | 0 | 0 |
| LOS | 3 | 4 | 0 | 0 | 0 | 0 | 92 | 0 | 0 | 0 | 0 |
| LDL | 0 | 2 | 1 | 0 | 0 | 0 | 0 | 64 | 0 | 0 | 0 |
| INT | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 54 | 0 | 0 |
| EXT | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 24 | 0 |
| AVU | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 43 |
Accident and injury types of TDI
| Accident type | Gender | Injury type | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 9 | 3.7 | 6 | 4.2 | 3 | 3.0 | 15 | 93.8 | 1 | 6.2 | 0 | 0.0 | |
| 209 | 86.0 | 124 | 86.1 | 85 | 85.9 | 260 | 73.9 | 80 | 22.7 | 3.1 | 0 | |
| 8 | 3.3 | 5 | 3.5 | 3 | 3.0 | 10 | 83.3 | 2 | 16.7 | 0 | 0.0 | |
| 17 | 7.0 | 9 | 6.2 | 8 | 8.1 | 13 | 56.5 | 9 | 39.1 | 1 | 4.3 | |