| Literature DB >> 32836367 |
Venkateshwar Reddy Maryada1, Praharsha Mulpur1, Annapareddy Venkata Guravareddy1, Sudhir Kumar Pedamallu2, Bolgam Vijay Bhasker3.
Abstract
BACKGROUND: The COVID-19 outbreak reached pandemic proportions in March 2020, and the government of India declared a nationwide lockdown on 24th March, 2020. All vehicular movement, construction work, industries, national highways, etc. remained closed during lockdown. The aim of this study was to assess the impact of lockdown on the case load and epidemiology of orthopaedic trauma cases in the state of Telangana.Entities:
Keywords: COVID-19; Pandemic; Practice; SARS-CoV-2; Trauma; Volume
Year: 2020 PMID: 32836367 PMCID: PMC7423500 DOI: 10.1007/s43465-020-00226-z
Source DB: PubMed Journal: Indian J Orthop ISSN: 0019-5413 Impact factor: 1.251
Total number of injuries across all age groups, during pre-lockdown and lockdown periods
| Age group | Pre-lockdown period Trauma numbers ( | Lockdown period Trauma numbers ( | ||
|---|---|---|---|---|
| Gender | Male | Female | Male | Female |
| Pediatric (0–16 years) | 120 (5.9%) | 35 (1.7%) | 70 (9.3%) | 21 (2.8%) |
| Young adult (17–25 years) | 211 (10.44%) | 34 (1.6%) | 67 (8.9%) | 16 (2.1%) |
| Adult (26–60 years) | 987 (48.9%) | 243 (12%) | 297 (39.4%) | 95 (12.6%) |
| Elderly (60 years and above) | 238 (11.8%) | 151 (7.5%) | 88 (11.6%) | 110 (14.6%) |
n number of cases
An overview of injuries—classified based on the type of injury and location of the fracture
| Diagnosis | Pre-lockdown | Lockdown |
|---|---|---|
| Fractures | ||
| Clavicle | 59 (2.9%) | 12 (1.6%) |
| Proximal humerus/shoulder | 44 (2.2%) | 20 (2.7%) |
| Humerus | 59 (2.9%) | 16 (2.1%) |
| Elbow | 103 (5.1%) | 53 (7.1%) |
| Forearm | 135 (6.7%) | 50 (6.3%) |
| Wrist | 149 (7.4%) | 61 (8.1%) |
| Hand | 59 (2.9%) | 28 3.7%) |
| Rib fractures | 6 (0.3%) | 1 (0.1%) |
| Spine | 27 (1.3%) | 7 (0.9%) |
| Pelvis | 37 (1.8%) | 4 (0.5%) |
| Hip (Trochanter/intra capsular/Sub-trochanter) | 321 (15.9%) | 183 (24.2%) |
| Femur | 187 (9.3%) | 48 (6.4%) |
| Knee | 50 (2.5%) | 16 (2.1%) |
| Leg (tibial condyle/both bone fractures of the leg/plafond) | 406 (20.1%) | 102 (13.5%) |
| Ankle | 93 (4.6%) | 33 (12.3%) |
| Foot | 63 (3.1%) | 29 (3.8%) |
| Poly-trauma | 27 (1.3%) | 9 (1.1%) |
| Crush injury | 50 (2.5%) | 13 (1.7%) |
| Sprain | 56 (2.8%) | 47 (6.2%) |
| Soft tissue injuries | 89 (4.4%) | 22 (2.9%) |
Analysis of injuries in the paediatric age group (0–16 years) during pre-lockdown and lockdown
| Cause of injury | Pre-lockdown period ( | Lockdown period ( | ||
|---|---|---|---|---|
| Gender | Male | Female | Male | Female |
| Fall at home | 38 (31.7%) | 6 (17.2%) | 44 (62.9%) | 8 (38.1%) |
| Sport-related injury | 36 (30%) | 8 (22.8%) | 15 (21.4%) | 6 (28.5%) |
| Road traffic accident (RTA) | 39 (32.5%) | 19 (54.3%) | 6 (8.6%) | 5 (23.9%) |
| Others | 7 (5.8%) | 2 (5.7%) | 5 (7.1%) | 2 (9.5%) |
n number of cases
Analysis of injuries in the young-adult group (17–25 years) during pre-lockdown and lockdown period
| Cause of injury | Pre-lockdown period ( | Lockdown period ( | ||
|---|---|---|---|---|
| Gender | Male | Female | Male | Female |
| Fall at home | 15 (7.1%) | 4 (11.8%) | 7 (13.7%) | 11 (68.8%) |
| Sports injury | 5 (2.4%) | 1 (2.9%) | 0 | 0 |
| RTA-road traffic accident | 176 (83.4%) | 24 (70.5%) | 36 (70.7%) | 3 (18.7%) |
| Others | 15 (7.1%) | 5 (14.8%) | 8 (15.6%) | 2 (12.5%) |
n number of cases
Analysis of injuries in the adult age group (26–60 years) during pre-lockdown and lockdown
| Cause of injury | Pre-lockdown period ( | Lockdown period ( | ||
|---|---|---|---|---|
| Gender | Male | Female | Male | Female |
| Fall at home | 103 (10.4%) | 80 (32.9%) | 61 (13.7%) | 57 (60%) |
| Sports injury | 53 (5.4%) | 1 (0.4%) | 0 | 0 |
| RTA—road traffic accident | 837 (84.8%) | 136 (56%) | 204 (70.7%) | 35(36.8%) |
| Others | 44 (4.4%) | 26 (10.7%) | 32 (15.6%) | 3 (3.2%) |
n number of cases
Analysis of injuries in elderly group (60 years and above) during pre-lockdown and lockdown
| Cause of injury | Pre-lockdown ( | Lockdown ( | ||
|---|---|---|---|---|
| Gender | Male | Female | Male | Female |
| Fall at home | 131 (55%) | 126 (83.4%) | 74 (84.1%) | 107 (92.3%) |
| Sports injury | 0 | 0 | 0 | 0 |
| RTA—road traffic accident | 90 (37.8%) | 22 (14.6%) | 8 (9.1%) | 1 (0.9%) |
| Others | 17 (7.2%) | 3 (2%) | 6 (6.8%) | 2 (1.8%) |