| Literature DB >> 35677822 |
Mathieu Jozwiak1,2, Guillaume Geri3, Driss Laghlam3,4, Kevin Boussion3, Charles Dolladille5, Lee S Nguyen3.
Abstract
Vasodilatory shock, such as septic shock, requires personalized management which include adequate fluid therapy and vasopressor treatments. While these potent drugs are numerous, they all aim to counterbalance the vasodilatory effects of a systemic inflammatory response syndrome. Their specific receptors include α- and β-adrenergic receptors, arginine-vasopressin receptors, angiotensin II receptors and dopamine receptors. Consequently, these may be associated with severe adverse effects, including acute mesenteric ischemia (AMI). As the risk of AMI depends on drug class, we aimed to review the evidence of plausible associations by performing a worldwide pharmacovigilance analysis based on the World Health Organization database, VigiBase®. Among 24 million reports, 104 AMI events were reported, and disproportionality analyses yielded significant association with all vasopressors, to the exception of selepressin. Furthermore, in a comprehensive literature review, we detailed mechanistic phenomena which may enhance vasopressor selection, in the course of treating vasodilatory shock.Entities:
Keywords: mesenteric ischemia; pharmacovigilance; septic shock (MeSH); systematic review; vasopressors
Year: 2022 PMID: 35677822 PMCID: PMC9168038 DOI: 10.3389/fmed.2022.826446
Source DB: PubMed Journal: Front Med (Lausanne) ISSN: 2296-858X
Figure 1Association between acute mesenteric ischemia and each molecule. A reporting odds ratio (ROR) value is considered significant when lower bound of 95% confidence interval (95%CI) is above 1. The studied reaction is acute mesenteric ischemia (AMI). N obs., number of observed AMI reports; N drug, number of reports involving the studied drug in VigiBase®.
Descriptive statistics by molecule of all reports of acute mesenteric ischemia in VigiBase®.
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| Nb of cases | 104 | 47 | 30 | 10 | 19 | 14 | 17 | 2 |
| Male | 59 (60.8%) [97] | 28 (59.6%) [47] | 15 (53.6%) [28] | 3 (30.0%) [10] | 10 (62.5%) [16] | 9 (69.2%) [13] | 9 (64.3%) [14] | 2 (100.0%) [2] |
| Age > 65 years-old | 44 (47.8%) [92] | 24 (53.3%) [45] | 15 (53.6%) [28] | 3 (37.5%) [8] | 7 (43.8%) [16] | 3 (25.0%) [12] | 5 (35.7%) [14] | 1 (50.0%) [2] |
| Serious adverse event | 96 (100.0%) [96] | 46 (100.0%) [46] | 30 (100.0%) | 7 (100.0%) [7] | 17 (100.0%) [17] | 14 (100.0%) | 14 (100.0%) [14] | 2 (100.0%) |
| Deaths | 47 (49.0%) [96] | 22 (47.8%) [46] | 15 (50.0%) | 6 (85.7%) [7] | 8 (47.1%) [17] | 9 (64.3%) | 8 (57.1%) [14] | 0 (0.0%) |
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| Africa | 1 (1.0%) | 0 (0.0%) | 0 (0.0%) | 0 (0.0%) | 1 (5.3%) | 0 (0.0%) | 0 (0.0%) | 0 (0.0%) |
| America | 27 (26.0%) | 10 (21.3%) | 12 (40.0%) | 3 (30.0%) | 8 (42.1%) | 7 (50.0%) | 0 (0.0%) | 2 (100.0%) |
| South-East Asia | 0 (0.0%) | 0 (0.0%) | 0 (0.0%) | 0 (0.0%) | 0 (0.0%) | 0 (0.0%) | 0 (0.0%) | 0 (0.0%) |
| Europe | 42 (40.4%) | 23 (48.9%) | 12 (40.0%) | 5 (50.0%) | 1 (5.3%) | 2 (14.3%) | 12 (70.6%) | 0 (0.0%) |
| East Meditterranean | 0 (0.0%) | 0 (0.0%) | 0 (0.0%) | 0 (0.0%) | 0 (0.0%) | 0 (0.0%) | 0 (0.0%) | 0 (0.0%) |
| West Pacific | 34 (32.7%) | 14 (29.8%) | 6 (20.0%) | 2 (20.0%) | 9 (47.4%) | 5 (35.7%) | 5 (29.4%) | 0 (0.0%) |
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| Spontaneous | 94 (91.3%) [103] | 42 (89.4%) [47] | 27 (90.0%) [30] | 9 (90.0%) [10] | 18 (94.7%) [19] | 13 (92.9%) [14] | 14 (87.5%) [16] | 2 (100.0%) [2] |
| Report from study | 6 (5.8%) [103] | 4 (8.5%) [47] | 2 (6.7%) [30] | 0 (0.0%) [10] | 1 (5.3%) [19] | 0 (0.0%) [14] | 2 (12.5%) [16] | 0 (0.0%) [2] |
| Other | 3 (2.9%) [103] | 1 (2.1%) [47] | 1 (3.3%) [30] | 1 (10.0%) [10] | 0 (0.0%) [19] | 1 (7.1%) [14] | 0 (0.0%) [16] | 0 (0.0%) [2] |
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| Physician | 75 (79.8%) [94] | 34 (82.9%) [41] | 21 (75.0%) [28] | 4 (66.7%) [6] | 14 (93.3%) [15] | 6 (54.5%) [11] | 15 (88.2%) [17] | 1 (50.0%) [2] |
| Pharmacist | 2 (2.1%) [94] | 1 (2.4%) [41] | 0 (0.0%) [28] | 0 (0.0%) [6] | 0 (0.0%) [15] | 1 (9.1%) [11] | 0 (0.0%) [17] | 0 (0.0%) [2] |
| Other health professional | 13 (13.8%) [94] | 6 (14.6%) [41] | 6 (21.4%) [28] | 2 (33.3%) [6] | 0 (0.0%) [15] | 4 (36.4%) [11] | 0 (0.0%) [17] | 0 (0.0%) [2] |
| Lawyer | 0 (0.0%) [94] | 0 (0.0%) [41] | 0 (0.0%) [28] | 0 (0.0%) [6] | 0 (0.0%) [15] | 0 (0.0%) [11] | 0 (0.0%) [17] | 0 (0.0%) [2] |
| Consumer or non-health professional | 4 (4.3%) [94] | 0 (0.0%) [41] | 1 (3.6%) [28] | 0 (0.0%) [6] | 1 (6.7%) [15] | 0 (0.0%) [11] | 2 (11.8%) [17] | 1 (50.0%) [2] |
Number of available data are indicated in brackets.