| Literature DB >> 33903787 |
Chiranjit De1, Nimrath Kainth1, Pratap Karavadra Harbham1, Margaret Brooks1, Sujit Agarwal1.
Abstract
AIM: This study aims to estimate the risk of acquiring medical complication or death from COVID-19 infection in patients who were admitted for orthopaedic trauma surgery during the peak and plateau of pandemic. Unlike other recently published studies, where patient-cohort included a more morbid group and cancer surgeries, we report on a group of patients who had limb surgery and were more akin to elective orthopaedic surgery.Entities:
Keywords: COVID-19; Mortality; Outcome; Pandemic; Trauma
Year: 2021 PMID: 33903787 PMCID: PMC8059261 DOI: 10.1016/j.jcot.2021.04.018
Source DB: PubMed Journal: J Clin Orthop Trauma ISSN: 0976-5662
Distribution of the patients with respect to peri-operative variables and mortality.
| Variables | No of Operations (n = 214) | 30-day Mortality | P-value | |
|---|---|---|---|---|
| No | Yes | |||
| Gender | ||||
| Male | 117 | 114 (97.4%) | 3 (2.6%) | 0.815588 |
| Female | 97 | 94 (96.9%) | 3 (3.1%) | |
| Co-morbidities | ||||
| None | 92 | 92 (100%) | 0 | |
| 1 | 46 | 46 (100%) | 0 | |
| 2 | 34 | 31 (91.1%) | 3 (8.9%) | 0.950599 |
| 3 | 26 | 24 (92.3%) | 2 (7.7%) | |
| >3 | 16 | 15 (93.7%) | 1 (6.3%) | |
| Ward | ||||
| Red | 15 | 11 (73.4%) | 4 (26.6%) | <0.00001∗ |
| Blue | 199 | 197 (98.9%) | 2 (1.1%) | |
| Theatre | ||||
| COVID | 15 | 12 (80%) | 3 (20%) | 0.000029∗ |
| Clean | 199 | 196 (98.5%) | 3 (1.5%) | |
| COVID Result | ||||
| Positive | 11 | 8 (72.7%) | 3 (27.3%) | 0.027292∗ |
| Negative | 52 | 49 (94.2%) | 3 (5.8%) | |
| Not Tested | 151 | 151 (100%) | 0 | |
| Length of Hospital Stay | ||||
| 1 week | 94 | 92 (97.8%) | 2 (2.2%) | 0.066283 |
| 2 weeks | 44 | 43 (97.7%) | 1 (2.3%) | |
| 3 weeks | 12 | 10 (83.3%) | 2 (16.7%) | |
| >3 weeks | 13 | 12 (92.3%) | 1 (7.7%) | |
| Day case | 51 | 51 (100%) | 0 | |
NB: (∗) mark indicates statistically significant p-values at p < 0.05.
Distribution of the patients’ characteristics and mortality among the study population.
| Variables | No of Operations (n = 214) | 30-day Mortality including all patients (n = 214) | 30-day mortality without fragility fractures (n = 168) | |
|---|---|---|---|---|
| No | Yes | |||
| Age | ||||
| Up to 16 | 29 | 29 (100%) | 0 | 0 |
| 17–29 | 28 | 28 (100%) | 0 | 0 |
| 30–49 | 44 | 44 (100%) | 0 | 0 |
| 50–69 | 47 | 47 (100%) | 0 | 0 |
| 70 & Above | 66 | 60 (90.9%) | 6 (9.1%) | 0 |
| ASA | ||||
| ASA 1-2 | 142 | 142 (100%) | 0 | 0 |
| ASA 3-5 | 72 | 66 (91.6%) | 6 (8.4%) | 0 |
| Subspecialty | ||||
| Upper Limb | 88 | 88 (100%) | 0 | 0 |
| Lower Limb | 126 | 120 (95.2%) | 6 (4.8%) | 0 |
| Anaesthesia | ||||
| GA | 106 | 106 (100%) | 0 | 0 |
| Spinal | 67 | 62 (92.5%) | 5 (7.5%) | 0 |
| GA + LA | 3 | 3 (100%) | 0 | 0 |
| GA + Block | 13 | 12 (92.3%) | 1 (7.7%) | 0 |
| LA | 14 | 14 (100%) | 0 | 0 |
| Epidural | 1 | 1 (100%) | 0 | 0 |
| GA + Epidural | 1 | 1 (100%) | 0 | 0 |
| Block | 1 | 1 (100%) | 0 | 0 |
Characteristics of the patients who died within 30 days of index surgery.
| Patients | Case-1 | Case-2 | Case-3 | Case-4 | Case-5 | Case-6 |
|---|---|---|---|---|---|---|
| Age | 94 | 78 | 90 | 92 | 90 | 82 |
| Sex | Female | Female | Male | Male | Male | Female |
| Diagnosis | Extracapsular neck of femur fracture | Intracapsular neck of femur fracture | Extracapsular neck of femur fracture | Intracapsular neck of femur fracture | Intracapsular neck of femur fracture | Extracapsular neck of femur fracture |
| Procedure | Intramedullary Nailing | Hemiarthroplasty | Intramedullary Nailing | Hemiarthroplasty | Hemiarthroplasty | Dynamic Hip Screw Fixation |
| Designated Theatre | Clean | COVID | clean | COVID | COVID | Clean |
| Ward | Cold | Hot | Hot | Hot | Hot | Cold |
| ASA Grade | 4 | 3 | 3 | 4 | 3 | 3 |
| Comorbidities | >3 | 2 | 3 | 3 | 2 | 2 |
| Readmission | Yes | No | No | No | No | No |
| LOS | 15 | 4 | 7 | 13 | 24 | 21 |
| Primary Cause of Death | 1a-COVID pneumonia | 1a-HAP | 1a-HAP, 1b- bronchiectasis | 1a-COVID pneumonia | 1a-COVID pneumonia | 1a-COVID pneumonia |