| Literature DB >> 35373149 |
Elyse J Berlinberg1,2, Harsh H Patel1, Benjamin Ogedegbe2, Enrico M Forlenza1, Jorge Chahla1, Randy Mascarenhas3, Brian Forsythe1.
Abstract
Purpose: To characterize how severe acute respiratory syndrome coronavirus 2 infection in the perioperative period affects the medical adverse event (MAE) rates in arthroscopic sports medicine procedures.Entities:
Year: 2022 PMID: 35373149 PMCID: PMC8964339 DOI: 10.1016/j.asmr.2022.03.007
Source DB: PubMed Journal: Arthrosc Sports Med Rehabil ISSN: 2666-061X
Patient Demographics
| Variable (N, % unless otherwise specified) | COVID-19, No Scope (N = 1,299) | % | Scope, COVID-19 (N = 1,299) | % | Scope, No COVID-19 (N = 1,299) | % | |
|---|---|---|---|---|---|---|---|
| Age, y, mean (SD) | 51 (15) | 50 (15) | 50 (15) | .99 | |||
| Female sex | 708 | 54.5 | 708 | 54.5 | 708 | 54.5 | >.99 |
| Comorbidities | |||||||
| Cancer | 109 | 8.4 | 105 | 8.1 | 100 | 7.7 | .81 |
| CHF | 9 | 0.7 | 3 | 0.2 | 25 | 1.9 | |
| CKD | 107 | 8.2 | 70 | 5.4 | 65 | 5.0 | |
| Coagulopathy | 56 | 4.3 | 42 | 3.2 | 35 | 2.7 | .07 |
| COPD | 94 | 7.2 | 89 | 6.9 | 214 | 16.5 | |
| Depression | 232 | 17.9 | 245 | 18.9 | 209 | 16.1 | .17 |
| Diabetes | 351 | 27.0 | 311 | 23.9 | 362 | 27.9 | .06 |
| EtOH use disorder | 38 | 2.9 | 32 | 2.5 | 27 | 2.1 | .38 |
| Hypertension | 564 | 43.4 | 569 | 43.8 | 586 | 45.1 | .66 |
| Hypothyroidism | 131 | 10.1 | 167 | 12.9 | 157 | 12.1 | .08 |
| Iron deficiency anemia | 84 | 6.5 | 75 | 5.8 | 71 | 5.5 | .54 |
| Liver disease | 77 | 5.9 | 84 | 6.5 | 90 | 6.9 | .58 |
| Obesity | 269 | 20.7 | 332 | 25.6 | 240 | 18.5 | |
| Peripheral vascular disease | 77 | 5.9 | 58 | 4.5 | 83 | 6.4 | .08 |
| Smoking | 177 | 13.6 | 253 | 19.5 | 191 | 14.7 | |
| Arthroscopy joint | .35 | ||||||
| Shoulder | – | – | 899 | 69.2 | 903 | 69.5 | |
| Hip | – | – | 44 | 3.4 | 32 | 2.5 | |
| Knee | 357 | 27.5 | 369 | 28.4 | |||
COVID-19, coronavirus disease 2019; SD, standard deviation; CHF, congestive heart failure; CKD, chronic kidney disease; COPD, chronic obstructive pulmonary disease; EtOH, ethanol alcohol.
NOTE: Bolded P-values refer to statistical significance at P <.05.
Indicates matching criteria.
Adverse Events In the 90 Days After Surgery
| Variable | COVID-19, No Scope (N = 1,299) | % | Scope, COVID-19 (N = 1,299) | % | Scope, No COVID-19 (N = 1,299) | % | |
|---|---|---|---|---|---|---|---|
| Surgical complications | |||||||
| SSI | 0 | 0.0 | 0 | 0.0 | 5 | 0.4 | |
| Wound disruption | 4 | 0.3 | 4 | 0.3 | 4 | 0.3 | >.99 |
| Hematoma | 0 | 0.0 | 0 | 0.0 | 0 | 0.0 | >.99 |
| Nerve injury | 0 | 0.0 | 0 | 0.0 | 0 | 0.0 | >.99 |
| Transfusion | 7 | 0.5 | 12 | 0.9 | 3 | 0.2 | .06 |
| Medical complications | |||||||
| AKI | 72 | 5.5 | 44 | 3.4 | 7 | 0.5 | |
| Cardiac arrest | 7 | 0.5 | 5 | 0.4 | 0 | 0.0 | |
| Pneumonia | 199 | 15.3 | 161 | 12.4 | 13 | 1.0 | |
| UTI | 44 | 3.4 | 28 | 2.2 | 32 | 2.5 | .13 |
| VTE | 14 | 1.1 | 18 | 1.4 | 7 | 0.5 | .09 |
| DVT | 14 | 1.1 | 18 | 1.4 | 7 | 0.5 | .09 |
| PE | 0 | 0.0 | 0 | 0.0 | 7 | 0.5 | |
| Any complication | 265 | 20.4 | 200 | 15.4 | 71 | 5.5 | |
| Any complication excluding pneumonia | 127 | 9.8 | 87 | 6.7 | 61 | 4.7 | |
| Mortality | 0 | 0 | 0 | 0 | 0 | 0 | >.99 |
COVID-19, coronavirus disease 2019; AKI, acute kidney injury, UTI, urinary tract infection; VTE, venous thromboembolism; DVT, deep venous thrombosis; PE, pulmonary embolism.
NOTE: Bolded P-values refer to statistical significance at P <.05.
Likelihood of Adverse Events by Timing of COVID-19 Infection in Relation to Arthroscopy
| OR | 2.50% | 97.50% | ||
|---|---|---|---|---|
| 3 months before (N = 141) | 0.19 | 0.06 | 0.45 | .48 |
| 2 months before (N = 176) | 0.21 | 0.08 | 0.45 | .13 |
| 1 month before (N = 434) | 0.26 | 0.15 | 0.40 | .99 |
| 1 month after (N = 191) | 4.24 | 3.07 | 5.83 | |
| 2 months after (N = 190) | 2.97 | 2.12 | 4.13 | |
| 3 months after (N = 208) | 2.65 | 1.90 | 3.66 |
COVID-19, coronavirus disease 2019; OR, odds ratio.
NOTE: Bolded P-values refer to statistical significance at P <.05.
Fig 1Forest plot for likelihood of medical adverse events depending on the timing of COVID-19 infection relative to arthroscopy. Dotted red line = odds ratio of 1. If the 95% confidence interval bars pass the dotted line, the predictor is not significantly associated with medical adverse events. (COVID-19, coronavirus disease 2019.)
Likelihood of Adverse Events by Timing of Scope, if COVID-19 Infection
| OR | 2.50% | 97.50% | ||
|---|---|---|---|---|
| 3 months before (N = 208) | 3.57 | 2.57 | 4.94 | |
| 2 months before (N = 190) | 2.63 | 1.87 | 3.64 | |
| 1 month before (N = 191) | 3.57 | 2.57 | 4.94 | |
| 1 month after (N = 434) | 0.64 | 0.24 | 1.56 | .35 |
| 2 months after (N = 176) | 0.52 | 0.15 | 1.53 | .26 |
| 3 months after (N = 141) | 0.49 | 0.11 | 1.71 | .29 |
COVID-19, coronavirus disease 2019; OR, odds ratio.
NOTE: Bolded P-values refer to statistical significance at P <.05.
Fig 2Forest plot for likelihood of medical adverse events depending on the timing of arthroscopy relative to a COVID-19 infection. Dotted red line = odds ratio of 1. If the 95% confidence interval bars pass the dotted line, the predictor is not significantly associated with medical adverse events. (COVID-19, coronavirus disease 2019.)