| Literature DB >> 33525207 |
Giuseppe Gianluca Costa1, Giuseppe Fanzone2, Angelo Graceffa3, Michele Lauria4, Gianluca Zocco5, Antonino Cassarà6, Alberto Campailla7, Alessia Saccà8, Enrico Santanna9, Gianclaudio Caputo10, Arcangelo Russo11.
Abstract
BACKGROUND: The application of stringent prevention measures for contrasting COVID-19 spread generated changes not only in the outbreak course, but also in epidemiology of traumatic fractures. The aim of this study was to report the epidemiologic characteristics of surgically-treated fractures during the COVID-19 outbreak over a six-month period, and to describe the variation in volumes and types of injuries, by comparing them with fractures which occurred during the same period in 2019.Entities:
Mesh:
Year: 2020 PMID: 33525207 PMCID: PMC7927475 DOI: 10.23750/abm.v91i4.10372
Source DB: PubMed Journal: Acta Biomed ISSN: 0392-4203
Figure 1.The number of fractures admitted in each month of the study evaluation period.
The number of fractures for each cluster of the evaluation period, and relative differences between the two study groups. A p value < 0.05 was considered statistically significant. n.s: not significant.
| Pre lockdown | 31 | 30 | +3.2% | n.s. |
| Lockdown | 34 | 49 | -30.7% | n.s. |
| Post lockdown | 52 | 50 | +3.8% | n.s. |
| Total | 117 | 129 | -9.7% |
Figure 2.The number of fractures clustered according to the patients’ age.
Figure 3.The month-by-month analysis of the prevalence of proximal femoral fractures.
Demographic details and patterns of fractures, with relative statistical comparison between the two study groups. n.s: not statistically significant.
| GENDER | |||
| Female | 75 (64.1%) | 88 (68.2%) | n.s. |
| Male | 42 (35.9%) | 41 (31.8%) | |
| MEAN AGE | 71.5 ± 17.7 | 65.9 ± 24.7 | 0.0439 |
| EMERGENCY DEPARTMENT-ADMISSION TIME LAPSE | 0.8 ± 0.6 | 0.7 ± 0.5 | n.s. |
| LENGHT OF STAY | 10.6 ± 7.0 | 9.9 ± 6.4 | n.s. |
| FRACTURES LOCATION | |||
| Clavicle | 0 | 2 (1.6%) | n.s. |
| Scapula | 1 (0.9%) | 0 | |
| proximal humerus | 14 (12.0%) | 15 (11.6%) | |
| humerus shaft | 1 (0.9%) | 4 (3.1%) | |
| Elbow | 4 (3.4%) | 3 (2.3%) | |
| radius and/or ulna shaft | 1 (0.9%) | 3 (2.3%) | |
| Wrist | 1 (0.9%) | 4 (3.1%) | |
| Hand | 1 (0.9%) | 0 | |
| pelvis/acetabulum | 5 (4.3%) | 1 (0.8%) | |
| proximal femur | 56 (47.8%) | 62 (48.0%) | |
| femur shaft | 5 (4.3%) | 5 (3.9%) | |
| distal femur | 0 | 1 (0.8%) | |
| Patella | 2 (1.7%) | 3 (2.3%) | |
| proximal tibia | 4 (3.4%) | 2 (1.6%) | |
| tibia shaft | 4 (3.4%) | 5 (3.9%) | |
| Ankle | 14 (12.0%) | 15 (11.6%) | |
| Foot | 5 (4.3%) | 3 (2.3%) |