| Literature DB >> 35799949 |
Jinhui Zhao1,2, Qianying Cai2, Dajun Jiang1,2, Lingtian Wang1,2, Haiyan He2, Shengbao Chen2, Weitao Jia1,2, Changqing Zhang1,2.
Abstract
Purpose: Coronavirus disease 2019 (COVID-19) has brought an unprecedented change in wellbeing globally. The spread of the pandemic reportedly reduced the incidence of activity-related trauma, while that of fragility fractures remained stable. Here, we aimed to identify the risk factors associated with the prognosis of SARS-CoV-2 negative elderly patients with hip fractures. Patients andEntities:
Keywords: COVID-19; COVID-negative; Parker score; elderly hip fracture
Mesh:
Year: 2022 PMID: 35799949 PMCID: PMC9255716 DOI: 10.2147/CIA.S374083
Source DB: PubMed Journal: Clin Interv Aging ISSN: 1176-9092 Impact factor: 3.829
Comparison of Characteristics Between Patients Recruited During COVID-19 and in the Same Period of 2017–2019 Admitted to Hospital with a Diagnosis of Elderly Hip Fracture
| Characteristics | Experiment Group (N =431) | Control Group (N = 1191) | P value |
|---|---|---|---|
| Age (y) | 79.85 ± 8.35 | 79.34 ± 8.22 | 0.274 |
| Sex | |||
| Male | 132 (30.63%) | 368 (30.90%) | 0.917 |
| Height (cm) | 160.56 ± 11.18 | 160.71 ± 7.50 | 0.749 |
| Weight (kg) | 59.52 ± 11.94 | 57.74 ± 10.17 | 0.003 |
| Treatment type | |||
| Operative | 324 (75.17%) | 847 (71.12%) | 0.107 |
| Fracture type | |||
| FNF | 253 (58.70%) | 692 (58.10%) | 0.829 |
| TTA < 24 h | 251 (58.23%) | 905 (75.99%) | <0.001 |
| Admission with comorbidities | |||
| Hypertension | 162 (37.60%) | 503 (42.23%) | 0.093 |
| Diabetes | 78 (18.10%) | 211 (17.72%) | 0.859 |
| Heart failure | 41 (9.51%) | 143 (12.01%) | 0.162 |
| Hyperlipidemia | 17 (3.94%) | 48 (4.03%) | 0.938 |
| Complications prior to discharge | |||
| DVT | 113 (26.22%) | 223 (18.72%) | 0.001 |
| PE | 0 (0.00%) | 3 (0.25%) | 0.297 |
| Pneumonia | 13 (3.02%) | 31 (2.60%) | 0.651 |
| 6-month mortality postoperatively | 15 (3.48%) | 38 (3.20%) | 0.772 |
| Baseline Parker score | 8.17 ± 1.74 | 8.19 ± 1.72 | 0.827 |
| 6-month Parker score post-injury | 4.14 ± 3.12 | 5.24 ± 3.31 | <0.001 |
| Postoperative rehabilitation site | |||
| Hospital | 86 (19.95%) | 373 (31.32%) | <0.001 |
| Follow-up | |||
| Outpatient | 66 (15.31%) | 647 (54.32%) | <0.001 |
Note: Data are presented as the mean ± standard deviation.
Abbreviations: TTA, admission delay; DVT, deep venous thrombosis; PE, pulmonary embolism.
Characteristics of Elderly Patients with Hip Fractures Who Received Operative Treatment Between Experiment and Control Group
| Characteristics | Experiment Group (O) (N = 324) | Control Group (O) (N = 847) | P value |
|---|---|---|---|
| Age (y) | 79.35 ± 8.37 | 78.33 ± 7.93 | 0.053 |
| Height (cm) | 160.59 ± 9.15 | 160.54 ± 7.41 | 0.929 |
| Weight (kg) | 59.46 ± 11.10 | 57.78 ± 10.20 | 0.014 |
| Fracture type | |||
| FNF | 191 (58.95%) | 492 (58.09%) | 0.789 |
| TTA < 24 h | 205 (63.27%) | 660 (77.92%) | <0.001 |
| TTS < 48 h | 193 (59.57%) | 606 (71.55%) | <0.001 |
| Surgical duration (h) | 1.4±0.6 | 1.2±0.5 | <0.001 |
| Admission with comorbidities | |||
| Hypertension | 112 (34.57%) | 435 (51.36%) | <0.001 |
| Diabetes | 69 (21.30%) | 127 (14.99%) | 0.010 |
| Heart failure | 32 (9.88%) | 114 (13.46%) | 0.097 |
| Hyperlipidemia | 16 (4.94%) | 31 (3.66%) | 0.319 |
| Perioperative complications | |||
| DVT | 87 (26.85%) | 145 (17.12%) | <0.001 |
| PE | 0 (0%) | 1 (0.08%) | 0.536 |
| Pneumonia | 10 (3.09%) | 24 (2.83%) | 0.818 |
| Perioperative mortality | 12 (3.70%) | 27 (3.19%) | 0.660 |
| Baseline Parker score | 8.23 ± 1.68 | 8.24 ± 1.73 | 0.981 |
| 6-month Parker score postoperatively | 4.24 ± 3.18 | 5.79 ± 3.21 | <0.001 |
| Postoperative rehabilitation site | |||
| Hospital | 66 (20.37%) | 314 (37.07%) | <0.001 |
| Follow-up | |||
| Outpatient | 45 (13.89%) | 539 (63.64%) | <0.001 |
Notes: Experiment group (O) and control group (O) mean patients who received operative treatment of corresponding groups recruited in the present study. Data are presented as the mean ± standard deviation.
Abbreviations: TTA, admission delay; TTS: surgical timing delay; DVT, deep venous thrombosis; PE, pulmonary embolism.
Figure 1Quantile-Quantile plot of residuals in the multiple linear regression model for the total population.
Figure 2Quantile-Quantile plot of residuals in the multiple linear regression model for patients who received surgical treatment.
Results of Multiple Linear Regression Analysis on 6-Month Parker Score Postoperatively
| Variable | Regression Coefficient (95% CI) | P value |
|---|---|---|
| Age (y) | −0.068 (−0.086 – −0.050) | <0.001 |
| Height (cm) | 0.009 (−0.009–0.027) | 0.347 |
| Weight (kg) | 0.008 (−0.007–0.023) | 0.287 |
| Baseline Parker scores | 0.303 (0.217–0.389) | <0.001 |
| Prehospital DVT | −0.189 (−0.558–0.181) | 0.316 |
| TTA < 24 h | 1.567 (1.248–1.887) | <0.001 |
| Hypertension | 0.050 (−0.263–0.363) | 0.752 |
| Diabetes | −0.995 (−1.394 – −0.596) | <0.001 |
| Hyperlipidemia | 0.519 (−0.224–1.261) | 0.171 |
| Hospital rehabilitation | 1.662 (1.335–1.988) | <0.001 |
| Outpatient follow-up | 0.410 (0.100–0.719) | 0.009 |
Note: Adjusted R2=19.9%.
Abbreviations: DVT, deep venous thrombosis; TTA, admission delay.
Results of Multiple Linear Regression Analysis for Patients Who Received Operative Treatment on 6-Month Parker Score Postoperatively
| Variable | Regression Coefficient (95% CI) | P value |
|---|---|---|
| Age (y) | −0.050 (−0.068 – −0.032) | <0.001 |
| Height (cm) | 0.001 (−0.019–0.020) | 0.936 |
| Weight (kg) | 0.007 (−0.007–0.022) | 0.322 |
| Baseline Parker | 0.158 (0.075–0.241) | <0.001 |
| Pre-hospital DVT | 0.346 (−0.020–0.712) | 0.064 |
| TTA < 24 h | 0.814 (0.499–1.129) | <0.001 |
| TTS < 48 h | 3.782 (3.474–4.090) | <0.001 |
| Hypertension | −0.200 (−0.497–0.096) | 0.185 |
| Diabetes | −0.690 (−1.076 – −0.305) | <0.001 |
| Hyperlipidemia | 0.219 (−0.485–0.923) | 0.542 |
| Hospital rehabilitation | 1.390 (1.091–1.689) | <0.001 |
| Outpatient follow-up | 0.202 (−0.083–0.487) | 0.165 |
Note: Adjusted R2=48.0%.
Abbreviations: DVT, deep venous thrombosis; TTA, admission delay; TTS: surgical timing delay.