| Literature DB >> 34150914 |
Arvind Kumar1, Yawar Haider1, Jigyasa Passey2, Rizwan Khan1, Sahil Gaba3, Mukesh Kumar1.
Abstract
OBJECTIVE: To analyze the factors associated with mortality in fracture patients with concomitant COVID-19 infection based on the available published data.Entities:
Keywords: COVID 19; Fractures; Mortality; Predictors; Risk Factors
Year: 2021 PMID: 34150914 PMCID: PMC8195830 DOI: 10.30476/BEAT.2021.87742
Source DB: PubMed Journal: Bull Emerg Trauma ISSN: 2322-2522
Fig. 1PRISMA Flow Diagram of studies for the current systematic review
Review of the studies presenting the mortality rates in COVID-19 positive fracture patients
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| Cheung ZB | USA (New York) | 10 | 10 proximal femur fractures | 79.7 | 1 (10%) | - | - |
| Catellani F | Italy | 16 | 16 Proximal femur | 85 | 7 (43.7%) | - | - |
| Muñoz Vives JM | Spain | 23 | 23 Proximal femur | 85.3 | 7 (30.4%) | 6 (5.3%) | Non-operative management, Cough on presentation, higher ASA grade, lobar consolidation on chest radiograph |
| Mi B | China (Wuhan) | 10 | 7 Proximal femur, 2 spine, 1 forearm | 68.4 years | 4 (40%) | - | Old age |
| LeBrun DG | USA (New York) | 9 | 9 Proximal femur | 85 | 5 (56%) | 4% | Higher ASA grade |
| Egol KA | USA (New York) | 31 | 31 proximal femur | C+: 82.4 | 11 (35.5%) | 6 (5.6%) | - |
| Maniscalco P | Italy | 32 | 32 Proximal femoral | 81.1 | 9 (29.1%) | 2 (22.2%) | - |
| Rizkallah M | France | 12 | 4 proximal femur, 3 Hip prosthesis dislocation, 2 ankle, 1 proximal humerus, 2 spine | 78.1 | 5 (41.6%) | - | Proximal femoral fractures |
| Hernigou J | Belgium | 4 | 3 proximal femur, 1 lower limb fracture | NA | 2 (50%) | None | Older age |
| Garcia-Portabella M | Spain | 1 | 1 humerus | 43 | None | None | - |
| Song SK | South Korea | 2 | 2 proximal femur | 82 | None | - | - |
Dichotomous comparison of individual categorical variables for mortality in COVID-19 infected patients with fractures.
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| Gender | 1.40 | 0.39, 5.02 | 64 | 0.61 | Statistically insignificant |
| CNS disorders | 1.69 | 0.38, 7.44 | 45 | 0.49 | Statistically insignificant |
| Diabetes Mellitus | 0.63 | 0.15, 2.61 | 45 | 0.53 | Statistically insignificant |
| Hypertension | 0.29 | 0.07, 1.24 | 45 | 0.10 | Statistically insignificant |
| Cardiac disorders | 0.26 | 0.05, 1.46 | 45 | 0.13 | Statistically insignificant |
| Renal disorders | 0.52 | 0.11, 2.61 | 45 | 0.43 | Statistically insignificant |
| Respiratory disorders | 3.56 | 0.39, 32.83 | 45 | 0.26 | Statistically insignificant |
| Bowel disorders | 2.45 | 0.26, 23.33 | 45 | 0.43 | Statistically insignificant |
| Hip fractures vs. non-hip fractures | 9.76 | 1.26, 75.72 | 61 | 0.03 |
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| Lower limb fractures vs. upper limb fractures | 2.94 | 0.25, 33.90 | 59 | 0.39 | Statistically insignificant |
| Operative management vs. non operative management | 0.90 | 0.21, 3.96 | 64 | 0.89 | Statistically insignificant |
| Hemiarthroplasty vs. cephalomedullary nailing | 1.23 | 0.22, 6.98 | 28 | 0.82 | Statistically insignificant |
Comparison of individual continuous variables for mortality in COVID-19 infected patients with fractures
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| Age | 4.30 | 0.44, 8.15 | 48 | 0.0007 |
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| Total number of comorbidities | -0.66 | -1.34, 0.01 | 45 | 0.06 | Statistically insignificant |
| Delay in surgery | 0.15 | -4.14, 4.44 | 24 | 0.95 | Statistically insignificant |
| TLC | -4.66 | -11.85, 2.53 | 30 | 0.20 | Statistically insignificant |
| D-dimer values | 3.48 | -4.35, 11.31 | 16 | 0.38 | Statistically insignificant |
| Procalcitonin | Could not be estimated | ||||
| Lactate dehydrogenase levels | Could not be estimated | ||||
| C-reactive protein | -29.22 | -80.15, 21.71 | 15 | 0.26 | Statistically insignificant |
Fig. 2Forest plot suggesting significant association of older age with mortality in COVID-19 infected patients with fractures
Fig. 3Forest plot suggesting significant association of hip fractures with mortality in COVID-19 infected patients with fractures