| Literature DB >> 32815846 |
Amit Thakrar1, Karen Chui, Akhil Kapoor, John Hambidge.
Abstract
OBJECTIVES: During the COVID-19 pandemic, the care of hip fracture patients remains a clinical priority. Our study aims to investigate the 30-day mortality rate of hip fracture patients during the first 30 days of the pandemic in the United Kingdom.Entities:
Mesh:
Year: 2020 PMID: 32815846 PMCID: PMC7446986 DOI: 10.1097/BOT.0000000000001889
Source DB: PubMed Journal: J Orthop Trauma ISSN: 0890-5339 Impact factor: 2.884
Patient Demographics and Mortality Rates of the Study Group and Control Groups A, B, and C
| Study Group: Data From 30-Day Study Period | Control Group A: Data From Same 30-Day Period in 2018 | Control Group B: Data From Same 30-Day Period in 2019 | Control Group C: Mean Monthly Data From Previous 6 Months | ||
| Total patients | 43 | 51 | 48 | 55.3 | |
| Gender | |||||
| Male | 23 | 13 | 12 | 15.7 | |
| Female | 20 | 38 | 36 | 39.7 | |
| Age (y) | |||||
| Mean | 81.6 | 81.6 | 84.0 | 81.5 | |
| Range | 54–100 | 51–98 | 59–99 | 44–101 | |
| SD | 11.3 | 12.3 | 8.7 | 11.0 |
The Study group consists of the patients presenting in the 30 days since “day 0” of the COVID-19 pandemic in the United Kingdom. Control groups A and B consist of the patients from the same 30-day period in 2018 and 2019, respectively. Control group C consists of the mean monthly data of the patients who presented to our unit in the previous 6 months. No statistically significant difference between the groups with respect to the number of patients, gender, or age is demonstrated.
Surgical Outcomes and Calculated Nottingham Hip Fracture Score and Clinical Frailty Score of the Study Group
| Study Group | |
| Operations | 43 |
| Dynamic hip screw | 7 |
| Cannulated screws | 3 |
| Hip hemiarthroplasty | 15 |
| Intramedullary nail | 13 |
| Total hip replacement | 1 |
| Revision hip replacement* | 4 |
| Time to surgery (hrs) | |
| Mean | 51.2 |
| Range | 10.2–128.8 |
| Cases within 36 hours | 26 (60%) |
| Nottingham hip fracture score | |
| Mean | 5.2 |
| Range | 1–8 |
| Clinical frailty score | |
| Mean | 4.6 |
| Range | 1–7 |
All operations performed are listed, with most operations being hip hemiarthroplasty or intramedullary nailing. Time to surgery varied greatly, however, 60% of cases were performed within the 36 hours of the Best Practice Tariff. The Nottingham Hip Fracture Score, which ranges from 0 to 10, is a predictor of 30-day mortality and incorporates the following variables: age, gender, abbreviated mental test score, hemoglobin level on admission, place of residence (institution or other), comorbidities, and if any evidence of active malignancy in the past 20 years. The Clinical Frailty Score, which ranges from 0 to 9, is a predictor of inpatient mortality as well as for length of stay and readmission rate in the elderly population.
*Revision hip replacement performed for periprosthetic fracture of total hip replacement.
Thirty-Day Mortality Rate Across the Four Groups: The Highest Rate was Observed in the Study Group and the Lowest in Control Group B
| Study Group: Data From 30-Day Study Period | Control group A: Data From Same 30-Day Period in 2018 | Control group B: Data From Same 30-Day Period in 2019 | Control group C: Mean Monthly Data From Previous 6 Months | |
| 30-day mortality | 7/43 | 5/51 | 1/48 | 2.3/55.3 |
| Percentage | 16.3% | 9.8% | 2.1% | 4.2% |
Thirty-Day Mortality Rates Compared Between Each of the Four Groups
| Study Group | Control Group A | Control Group B | Control Group C | |
| Study group | — | 0.02 | 0.003 | 0.001 |
| Control group A | 0.02 | — | 1.000 | 1.000 |
| Control group B | 0.003 | 1.000 | — | 1.000 |
| Control group C | 0.001 | 1.000 | 1.000 | — |
Statistical analysis P value for each comparison is presented.
There was no statistically significant difference in 30-day mortality rate between any of the Control groups.
Statistically significant difference between the Study group and each of the Control groups (P < 0.05) is demonstrated.
Statistically significant difference between the Study group and each of the Control groups (P < 0.005) is demonstrated.
Binary Logistic Regression Analysis Showed That the Major Predictor of 30-Day Mortality was Positive COVID-19 Infection Status, With W(1) = 7.826; P = 0.002 < 0.05, and the Odds Ratio was Exp(B) = 2.424 [CI: 2.061–2.786]
| Mortality | No Mortality | |
| COVID-19 test +ve | 4 | 8 |
| COVID-19 test −ve | 1 | 5 |
| Not tested for COVID-19 | 2 | 23 |
| Total | 7 | 36 |