| Literature DB >> 35059419 |
John L Hamilton1, Mona Vashi2, Ekta B Kishen3, Louis F Fogg4, Markus A Wimmer1, Robert A Balk2.
Abstract
There is a need for treatments to reduce coronavirus disease 2019 (COVID-19) mortality. Alpha-2 adrenergic receptor (α2 AR) agonists can dampen immune cell and inflammatory responses as well as improve oxygenation through physiologic respiratory parameters. Therefore, α2 AR agonists may be effective in reducing mortality related to hyperinflammation and acute respiratory failure in COVID-19. Dexmedetomidine (DEX) is an α2 AR agonist used for sedation. We performed a retrospective analysis of adults at Rush University System for Health hospitals between March 1, 2020 and July 30, 2020 with COVID-19 requiring invasive mechanical ventilation and sedation (n = 214). We evaluated the association of DEX use and 28-day mortality from time of intubation. Overall, 28-day mortality in the cohort receiving DEX was 27.0% as compared to 64.5% in the cohort that did not receive DEX (relative risk reduction 58.2%; 95% CI 42.4-69.6). Use of DEX was associated with reduced 28-day mortality on multivariable Cox regression analysis (aHR 0.19; 95% CI 0.10-0.33; p < 0.001). Adjusting for time-varying exposure to DEX also demonstrated that DEX was associated with reduced 28-day mortality (aHR 0.51; 95% CI 0.28-0.95; p = 0.03). Earlier DEX use, initiated <3.4 days from intubation, was associated with reduced 28-day mortality (aHR 0.25; 95% CI 0.13-0.50; p < 0.001) while later DEX use was not (aHR 0.64; 95% CI 0.27-1.50; p = 0.30). These results suggest an α2 AR agonist might reduce mortality in patients with COVID-19. Randomized controlled trials are needed to confirm this observation.Entities:
Keywords: alpha-2 adrenergic receptor agonist; coronavirus disease 2019 (COVID-19); dexmedetomidine; mortality; severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)
Year: 2022 PMID: 35059419 PMCID: PMC8764306 DOI: 10.3389/fmed.2021.797647
Source DB: PubMed Journal: Front Med (Lausanne) ISSN: 2296-858X
Patient baseline characteristics at hospital admission.
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| Age | 60.1 (58.1–62.2) | 59.1 (54.9–63.2) | 0.83 |
| Male sex | 95 (62.5%) | 38 (61.3%) | 0.87 |
| Race | |||
| American Indian or Alaska Native | 0 (0.00%) | 0 (0.00%) | >0.999 |
| Asian | 5 (3.3%) | 1 (1.6%) | 0.67 |
| Black or African American | 52 (34.2%) | 27 (43.5%) | 0.20 |
| White | 38 (25.0%) | 15 (24.2%) | 0.90 |
| Other / Not specified | 57 (37.5%) | 19 (30.6%) | 0.34 |
| Ethnicity | |||
| Hispanic or Latino | 66 (43.4%) | 20 (32.3%) | 0.13 |
| Not Hispanic or Latino | 84 (55.3%) | 40 (64.5%) | 0.21 |
| Other / Not specified | 2 (1.3%) | 2 (3.2%) | 0.58 |
| Active Cancer | 13 (8.6%) | 5 (8.1%) | 0.91 |
| Cardiovascular disease | |||
| Hypertension | 120 (78.9%) | 38 (61.3%) |
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| Coronary artery disease | 35 (23.0%) | 7 (11.3%) |
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| Congestive heart failure | 38 (25.0%) | 14 (22.6%) | 0.71 |
| Chronic respiratory disease | |||
| Asthma | 13 (8.6%) | 7 (11.3%) | 0.53 |
| COPD | 25 (16.4%) | 10 (16.1%) | 0.95 |
| Interstitial pulmonary disease | 7 (4.6%) | 1 (1.6%) | 0.44 |
| Obstructive sleep | 21 (13.8%) | 10 (16.1%) | 0.66 |
| Immunosuppression | |||
| HIV | 1 (0.66%) | 0 (0.00%) | >0.999 |
| History of organ transplant | 3 (2.0%) | 3 (4.8%) | 0.36 |
| Kidney disease | |||
| Chronic | 49 (32.2%) | 13 (21.0%) | 0.10 |
| End-stage | 15 (9.9%) | 4 (6.5%) | 0.43 |
| Liver disease | |||
| Cirrhosis | 7 (4.6%) | 1 (1.6%) | 0.44 |
| Chronic | |||
| Hepatitis B | 0 (0.00%) | 0 (0.00%) | >0.999 |
| Hepatitis C | 1 (0.66%) | 0 (0.00%) | >0.999 |
| Metabolic disease | |||
| Obesity (BMI ≥ 30–40) | 65 (42.8%) | 27 (43.5%) | 0.92 |
| Morbid obesity | 27 (17.8%) | 15 (24.2%) | 0.28 |
| BMI | 33.5 (32.1–34.9) | 34.7 (32.4–37.0) | 0.36 |
| Diabetes | 70 (46.1%) | 25 (40.3%) | 0.44 |
| Modified Charlson Comorbidity Index | 2.5 (2.1–2.9) | 1.8 (1.2–2.4) | 0.07 |
Continuous variables represented by mean (95% CI) with p-values represented by independent samples t-test or Mann-Whitney U test as appropriate; categorical variables represented by count and (%) of group with p-values represented by Pearson's chi-squared test or Fisher's exact test as appropriate. COPD, chronic obstructive pulmonary disease; HIV, human immunodeficiency virus; BMI, body mass index. Bold values indicate p ≤ 0.05.
ICU variables.
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| At time of intubation Pao2/F | 132.7 (120.8–144.6) | 122.8 (101.5–144.1) | 0.40 |
| At time of intubation mSOFA | 8.0 (7.6–8.5) | 8.3 (7.4–9.2) | 0.55 |
| Sedative use | 152 (100%) | 62 (100%) | >0.999 |
| GABA receptor ligand (any) use | 150 (98.7%) | 62 (100%) | >0.999 |
| Propofol | 146 (96.1%) | 55 (88.7%) | 0.06 |
| Midazolam | 117 (77.0%) | 31 (50.0%) |
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| Lorazepam | 99 (65.1%) | 13 (21.0%) |
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| Ketamine | 47 (30.9%) | 6 (9.7%) |
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| Opioid use | 143 (94.1%) | 57 (91.9%) | 0.55 |
| Corticosteroid (any) use | 85 (55.9%) | 29 (46.8%) | 0.22 |
| Methylprednisolone | 31 (20.4%) | 12 (19.4%) | 0.86 |
| Dexamethasone | 29 (19.1%) | 4 (6.5%) |
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| Hydrocortisone | 42 (27.6%) | 14 (22.6%) | 0.45 |
| Prednisone | 17 (11.2%) | 5 (8.1%) | 0.50 |
| Remdesivir use | 29 (19.1%) | 4 (6.5%) |
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| Hydroxychloroquine use | 52 (34.2%) | 21 (33.9%) | 0.96 |
| Antibiotic (any) use | 139 (91.4%) | 50 (80.6%) |
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| Azithromycin | 46 (30.3%) | 23 (37.1%) | 0.33 |
| Anticoagulant (any) use | 143 (94.1%) | 55 (88.7%) | 0.25 |
| Enoxaparin | 128 (84.2%) | 35 (56.5%) |
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| Bivalirudin | 32 (21.1%) | 6 (9.7%) |
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| Heparin | 88 (57.9%) | 34 (54.8%) | 0.68 |
| Apixaban | 39 (25.7%) | 4 (6.5%) |
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| Argatroban | 7 (4.6%) | 1 (1.6%) | 0.44 |
| Rivaroxaban | 11 (7.2%) | 2 (3.2%) | 0.36 |
| Warfarin | 5 (3.3%) | 3 (4.8%) | 0.69 |
| Fondaparinux | 1 (0.66%) | 0 (0.00%) | >0.999 |
| Inhaled nitric oxide use | 6 (3.9%) | 2 (3.2%) | >0.999 |
| Vasopressor use | 142 (93.4%) | 45 (72.6%) |
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| Paralytic / neuromuscular blockade use | 106 (69.7%) | 42 (67.7%) | 0.77 |
| Prone positioning use | 99 (65.1%) | 24 (38.7%) |
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| Renal replacement therapy use | 3 (2.0%) | 1 (1.6%) | >0.999 |
| Extracorporeal membrane oxygenation use | 5 (3.3%) | 0 (0.00%) | 0.32 |
Continuous variables represented by mean (95% CI) with p-values represented by independent samples t-test or Mann-Whitney U test as appropriate; categorical variables represented by count and (%) of group with p-values represented by Pearson's chi-squared test or Fisher's exact test as appropriate. GABA, gamma-aminobutyric acid; Pao.
Figure 1Dexmedetomidine start day from time of intubation and multivariable Cox regression assessing 28-day mortality from time of intubation accounting for time-varying exposure to dexmedetomidine. (A) Time to dexmedetomidine use from time of intubation. Day 0 includes patients already on dexmedetomidine prior to intubation. (B) Multivariable Cox regression assessing 28-day mortality from time of intubation accounting for dexmedetomidine as a time-varying covariate. Cut-off for dexmedetomidine start time from intubation included early start time (<3.4 days), later start time (>3.4 days), and all patients in the dexmedetomidine group (any time initiation of dexmedetomidine from intubation).
28-day mortality from time of intubation.
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| Multivariable† Cox regression (DEX use) | 0.19 (0.10–0.33) |
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| Univariable Cox Regression (DEX use) | 0.25 (0.16–0.39) |
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| Multivariable† Cox Regression (DEX use) | 0.51 (0.28–0.95) |
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| Univariable Cox Regression (DEX use) | 0.56 (0.35–0.91) |
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Values represented by hazard ratio (HR) or adjusted hazard ratio (aHR) (95% CI). Variables in multivariable analysis include: (i) DEX use (ii) age at hospital admission; (iii) body mass index (BMI) at hospital admission; (iv) mCCI at hospital admission; (v) Pao.