| Literature DB >> 34090358 |
Yihienew M Bezabih1, Alemayehu Bezabih2, Endalkachew Alamneh3, Gregory M Peterson3, Woldesellassie Bezabhe3.
Abstract
BACKGROUND: Reports on the effects of renin-angiotensin-aldosterone system (RAAS) inhibitors on the clinical outcomes of coronavirus disease-19 (COVID-19) have been conflicting. We performed this meta-analysis to find conclusive evidence.Entities:
Keywords: ACE2; Angiotensin; COVID-19; Clinical outcome; Coronavirus; RAAS inhibitors
Mesh:
Substances:
Year: 2021 PMID: 34090358 PMCID: PMC8178664 DOI: 10.1186/s12879-021-06088-6
Source DB: PubMed Journal: BMC Infect Dis ISSN: 1471-2334 Impact factor: 3.090
Fig. 1Flow chart showing the selection of articles for the meta-analysis
General characteristics of enrolled patients
| Zhang et al., 2020 [ | Retrospective cohort | HTN | ACEI/ARBs | 181 | 7 | 188 | 3.7% |
| Non-ACEI/ARBs | 848 | 92 | 940 | 9.8% | |||
| IP et al., 2020 [ | Retrospective cohort | HTN | ACEI/ARBs | 323 | 137 | 460 | 29.8% |
| Non-ACEI/ARBs | 407 | 262 | 669 | 39.2% | |||
| Khera et al., 2020 [ | Retrospective cohort | HTN | ACEIs | 2,042 | 319 | 2,361 | 13.5% |
| ARBs | 1,881 | 345 | 2,226 | 15.5% | |||
| Non-ACEI/ARBs | 2,880 | 466 | 3,346 | 13.9% | |||
| Richardson et al., 2020 [ | Case series | HTN | ACEIs | 113 | 55 | 168 | 32.7% |
| ARBs | 170 | 75 | 245 | 30.6% | |||
| Tan et al., 2020 [ | Retrospective cohort | HTN | ACEI/ARBs | 29 | 0 | 29 | 0.0% |
| Non-ACEI/ARBs | 46 | 11 | 57 | 19.3% | |||
| Andrea et al., 2020 [ | Retrospective cohort | HTN, HF, CAD, DM, CKD | ACEIs | 21 | 14 | 35 | 40.0% |
| ARBs | 26 | 7 | 33 | 21.2% | |||
| BBs | 29 | 21 | 50 | 42.0% | |||
| CCBs | 16 | 9 | 25 | 36.0% | |||
| Thiazides | 12 | 4 | 16 | 25.0% | |||
| Xian Zhou et al., 2020 [ | Retrospective cohort | HTN, HF, CAD, DM, CKD | ACEIARB | 13 | 2 | 15 | 13.3% |
| Non-ACE/ARB | 16 | 5 | 21 | 23.8% | |||
| Feng Zhou et al., 2020 [ | Retrospective cohort | HTN, CAD | ACEI/ARB | 836 | 70 | 906 | 7.7% |
| Non-ACEI/ARB | 1,540 | 272 | 1,812 | 15.0% | |||
| Pan et al., 2020 [ | Retrospective cohort | HTN | ACEI/ARB | 37 | 4 | 41 | 9.8% |
| Non-ACE/ARB | 178 | 63 | 241 | 26.1% | |||
| Cannata et al., 2020 [ | Prospective cohort | Not mentioned | ACEI/ARB | 49 | 7 | 56 | 12.5% |
| Non-ACE/ARB | 185 | 39 | 224 | 17.4% | |||
| Lam et al., 2020 [ | Prospective cohort | HTN, CAD, DM, CKD | ACEI/ARB | 277 | 58 | 335 | 17.3% |
| Non-ACEI/ARB | 217 | 62 | 279 | 22.2% | |||
| Selcuk et al., 2020 [ | Retrospective cohort | HTN, HF, CAD, DM, CKD | ACEI/ARB | 43 | 31 | 74 | 41.9% |
| Non-ACE/ARB | 35 | 4 | 39 | 10.3% | |||
| Amat-Santos et al., 2020 [ | Randomized clinical trial | HTN | ACEI/ARB | 3 | 2 | 5 | 40.0% |
| Non-ACE/ARB | 4 | 2 | 6 | 33.3% | |||
| Felice et al., 2020 [ | Prospective cohort | HTN | ACEIs | 32 | 8 | 40 | 20.0% |
| ARBs | 35 | 7 | 42 | 16.7% | |||
| Reynolds et al., 2020 [ | Retrospective cohort | HTN | ACEIs | 445 | 139 | 584 | 23.8% |
| ARBs | 468 | 161 | 629 | 25.6% | |||
| BBs | 582 | 210 | 792 | 26.5% | |||
| CCBs | 697 | 253 | 950 | 26.6% | |||
| Thiazides | 399 | 116 | 515 | 22.5% | |||
| Li et al., 2020 [ | Retrospective cohort | HTN | ACEIs | 9 | 3 | 12 | 25.0% |
| ARBs | 13 | 11 | 24 | 45.8% | |||
| BBs | 6 | 8 | 14 | 57.1% | |||
| CCBs | 89 | 79 | 168 | 47.0% | |||
| Feng et al., 2020 [ | Prospective cohort | HTN | ACEIs | 7 | 1 | 8 | 12.5% |
| ARBs | 23 | 4 | 27 | 14.8% | |||
| Non-ACEI/ARBs | 35 | 27 | 62 | 43.6% | |||
| Yang et al., 2020 [ | Retrospective cohort | HTN | ACEI/ARBs | 28 | 15 | 43 | 34.9% |
| Non-ACEI/ARBs | 48 | 35 | 83 | 42.2% | |||
| Meng et al., 2020 [ | Retrospective cohort | HTN | ACEI/ARBs | 13 | 4 | 17 | 23.5% |
| Non-ACEI/ARBs | 13 | 12 | 25 | 48.0% | |||
| Gao et al., 2020 [ | Retrospective cohort | HTN | ACEI/ARBs | 109 | 74 | 183 | 40.4% |
| Non-ACEI/ARBs | 348 | 179 | 527 | 34.0% | |||
| Hu et al., 2020 [ | Retrospective cohort | HTN | ACEI/ARBs | 37 | 28 | 65 | 43.1% |
| Non-ACEI/ARBs | 51 | 33 | 84 | 39.3% | |||
| Liu et al., 2020 [ | Retrospective cohort | HTN | ACEIs | 1 | 1 | 2 | 50.0% |
| ARBs | 7 | 3 | 10 | 30.0% | |||
| BBs | 4 | 3 | 7 | 42.9% | |||
| CCBs | 8 | 18 | 26 | 69.2% | |||
| Thiazides | 3 | 0 | 3 | 0.0% | |||
| Zeng et al., 2020 [ | Retrospective cohort | HTN | ACEI/ARBs | 13 | 15 | 28 | 53.6% |
| Non-ACEI/ARBs | 32 | 15 | 47 | 31.9% | |||
| Bravi et al., 2020 [ | Retrospective cohort | HTN | ACEIs | 107 | 144 | 251 | 57.4% |
| ARBs | 86 | 142 | 228 | 62.3% | |||
| Dauchet et al., 2020 [ | Retrospective cohort | CVD | ACEIs | 14 | 13 | 27 | 48.2% |
| ARBs | 8 | 21 | 29 | 72.4% | |||
| Feng Zhichao et al., 2020 [ | Retrospective cohort | HTN | ACEI/ARBs | 15 | 1 | 16 | 6.3% |
| Non-ACEI/ARBs | 33 | 16 | 49 | 32.7% | |||
| Mancia et al., 2020 [ | Case control study | CVD | ACEIs | 1,305 | 197 | 1,502 | 13.1% |
| ARBs | 1,227 | 167 | 1,394 | 12.0% | |||
| BBs | 1,556 | 270 | 1,826 | 14.8% | |||
| CCBs | 1,230 | 216 | 1,446 | 14.9% | |||
| Thiazides | 991 | 113 | 1,104 | 10.2% | |||
| Yan et al., 2020 [ | Case control study | CVD | ACEIs | 4 | 14 | 18 | 77.8% |
| ARBs | 58 | 93 | 151 | 61.6% | |||
| BBs | 9 | 47 | 56 | 83.9% | |||
| CCBs | 230 | 158 | 388 | 40.7% | |||
| Thiazides | 14 | 21 | 35 | 60.0% | |||
| Senkal et al., 2020 [ | Retrospective cohort | HTN, HF, CAD, DM, CKD | ACEIs | 41 | 11 | 52 | 21.2% |
| ARBs | 36 | 16 | 52 | 30.8% | |||
| Non-ACEI/ARBs | 30 | 22 | 52 | 42.3% | |||
| Liabeuf et al., 2020 [ | Retrospective cohort | HTN, HF, CAD, DM, CKD | ACEI/ARBs | 44 | 52 | 96 | 54.2% |
| BBs | 36 | 37 | 73 | 50.7% | |||
| CCBs | 30 | 27 | 57 | 47.4% | |||
| Thiazides | 28 | 30 | 58 | 51.7% | |||
| Sardu et al., 2020 [ | Prospective cohort | HTN | ACEIs | 14 | 10 | 24 | 41.7% |
| ARBs | 12 | 9 | 21 | 42.9% | |||
| CCBs | 10 | 7 | 17 | 41.2% | |||
| Xiulan Liu et al., 2020 [ | Retrospective cohort | HTN | ACEI/ARBs | 20 | 18 | 38 | 47.4% |
| CCBs | 22 | 16 | 38 | 42.1% | |||
| Lopez-Otero et al., 2020 [ | Retrospective cohort | HTN, CAD, DM | ACEIs | 23 | 6 | 29 | 20.7% |
| ARBs | 43 | 7 | 50 | 14.0% | |||
| Golpe et al., 2020 [ | Retrospective cohort | HTN, HF, CAD, DM, CKD | ACEIs | 20 | 12 | 32 | 37.5% |
| ARBs | 53 | 36 | 89 | 40.5% | |||
| BBs | 24 | 23 | 47 | 48.9% | |||
| CCBs | 21 | 23 | 44 | 52.3% | |||
| Thiazides | 36 | 30 | 66 | 45.5% | |||
| Xu et al., 2020 [ | Retrospective cohort | HTN, HF, CAD, DM, CKD | ACEI/ARBs | 29 | 11 | 40 | 27.5% |
| Non-ACEI/ARBs | 45 | 16 | 61 | 26.2% | |||
| Choi et al., 2020 [ | Case control study | HTN | ACEI/ARBs | 859 | 33 | 892 | 3.7% |
| Non-ACEI/ARBs | 384 | 44 | 428 | 10.3% | |||
| Total | 24,759 | 6,036 | 30,795 | 19.6% |
Abbreviations: ACEI angiotensin-I-converting enzyme inhibitors, ARBs angiotensin-II receptor blockers, BBs beta-blockers, CAD coronary artery disease, CCBs calcium channel blockers, CKD chronic kidney disease, CVD cardiovascular diseases, DM diabetes, HF heart failure, HTN hypertension
Fig. 2The risk of poor COVID-19 clinical outcome with ACEI/ARBs compared to Non-ACEI/ARBs
Risk of poor COVID-19 clinical outcomes with different classes of antihypertensives
| Comparision | Odds ratio (meta-analysis) | 95% CI | Method of analysis | Number of studies included in the sub-meta-analysis | Forest plot |
|---|---|---|---|---|---|
| ACEI to ARBs | 0.94 | 0.84–1.04 | MH | 16 | Figure |
| ACEIs to BBs | 0.85 | 0.73–0.99 | MH | 7 | Figure |
| ACEIs to CCBs | 0.91 | 0.67–1.23 | RE | 8 | Figure |
| ACEIs to Thiazides | 1.22 | 1.02–1.45 | MH | 6 | Figure |
| ACEIs to all other antihypertensives | 0.91 | 0.84–0.99 | MH | 16 | Figure |
| ARBs to all other antihypertensives | 0.98 | 0.83–1.17 | RE | 16 | Figure |
| ARBs to BBs | 0.72 | 0.55–0.94 | RE | 7 | Figure |
| ARBs to CCBs | 0.90 | 0.62–1.33 | RE | 8 | Figure |
| ARBs to Thiazides | 1.15 | 0.97–1.37 | MH | 6 | Figure |
| ARBs to all other non-RAAS antihypertensives | 0.89 | 0.71–1.12 | RE | 11 | Figure |
| ACEIs to all other non-RAAS antihypertensives | 0.89 | 0.74–1.06 | RE | 11 | Figure |
| CCBs to ACEI, ARBs, BBs | 0.95 | 0.68–1.33 | RE | 10 | Figure |
| ACEI, ARBs, BBs to CCBs and thiazides | 1.13 | 0.87–1.47 | RE | 10 | Figure |
Abbreviations: ACEI angiotensin-I-converting enzyme inhibitors, ARBs angiotensin II receptor blockers, BBs Beta blockers, CCBs calcium channel blockers, MH Mantel-Haenszel, RE random-effects. Figures S1-S13 are found in the supplementary file