| Literature DB >> 32611676 |
Maria Elena Flacco1, Cecilia Acuti Martellucci2, Francesca Bravi3, Giustino Parruti4, Rosaria Cappadona1, Alfonso Mascitelli5, Roberto Manfredini6, Lorenzo G Mantovani7,8, Lamberto Manzoli9.
Abstract
OBJECTIVE: It has been hypothesised that the use of ACE inhibitors and angiotensin receptor blockers (ARBs) might either increase or reduce the risk of severe or lethal COVID-19. The findings from the available observational studies varied, and summary estimates are urgently needed to elucidate whether these drugs should be suspended during the pandemic, or patients and physicians should be definitely reassured. This meta-analysis of adjusted observational data aimed to summarise the existing evidence on the association between these medications and severe/lethal COVID-19.Entities:
Keywords: cardiac risk factors and prevention; hypertension; meta-analysis
Mesh:
Substances:
Year: 2020 PMID: 32611676 PMCID: PMC7371482 DOI: 10.1136/heartjnl-2020-317336
Source DB: PubMed Journal: Heart ISSN: 1355-6037 Impact factor: 5.994
Figure 1PRISMA 2009 flow diagram. PRISMA, Preferred Reporting Items for Systematic Reviews and Meta-Analyses.
Characteristics of the included studies
| N | First author | Journal | Country | Study design | No. of infected patients | No. of hypertensive patients (under ACEi/ARBs) | Mean age | % males | Follow | Extracted outcome(s) | Method for adjustment |
| 1 | Bean | Submitted | UK | Cohort | 205 (53) | 105 (38) | 63.0 (20.0) | 51.7 | 7 days | Severe/lethal COVID-19 | Logistic regression adjusted for age, gender and comorbidities. |
| 2 | Bravi | Submitted | Italy | Case–control | 1603 (192) | 543 (450) | 58.0 (20.9) | 47.3 | 24 days | (1) Severe/lethal COVID-19 (mech. ventilation, ICU and death); (2) death. | Logistic regression adjusted for age, gender and comorbidities |
| 3 | de Abajo |
| Spain | Case–control | 1139 (393) * | 6261 (3950)* | 69.1 (15.4) | 61.0 | – | Severe COVID-19 (hospital admission). | Logistic regression adjusted for age, gender, region (matching variables) and comorbidities. |
| 4 | Giorgi Rossi | Submitted | Italy | Cohort | 2653 (217) | 430 (108) | 63.2 | 50.1 | 14 days | Death. | Cox proportional hazard analysis adjusted for age, gender and Charlson Index. |
| 5 | Liu | Submitted | China | Case-control | 511 (38†) | 78 (22) | 65.2 (10.7) | 55.2 | NR | Severe/lethal COVID-19 | Logistic regression adjusted for gender and medications. |
| 6 | Mancia |
| Italy | Case–control | 6272 (617) | 3586 (1844) | 68.0 (13.0) | 63.2 | – | Severe/lethal COVID-19 | Logistic regression adjusted forage, gender and comorbidities. |
| 7 | Mehra‡ |
| Multicountry | Cohort | 8910 (515) | 2346 (1326) | 49.0 (16.0) | 60.0 | 40 days | Death. | Logistic regression adjusted for age, race, comorbidities and medications. |
| 8 | Mehta |
| USA | Cohort | 1735 (272) | 682 (202) | 64.0 (14.0) | 58.5 | NR | Severe/lethal COVID-19 | Logistic regression adjusted for age, gender and comorbidities. |
| 9 | Reynolds |
| USA | Case-control | 5894 (1002) | 2573 (2141) | 64.0 (15.6) | 50.8 | – | Severe/lethal COVID-19 (mech. ventilation, ICU and death). | Analysis propensity score-matched for age, gender, race, BMI, smoke, comorbidities and medications. |
| 10 | Tedeschi |
| Italy | Cohort | 609 (179) | 311 (175) | 68.0 (18.5) | 68.0 | 6 days | Death. | Cox proportional hazard analysis adjusted for age, gender and comorbidities. |
| 11 | Zhang |
| China | Cohort | 1128 (99) | 1128 (188) | 64.0 (9.0) | 53.3 | 28 days | Death. | Analysis propensity score-matched for age, gender, comorbidities and in-hospital therapy. |
*Cases were COVID-19 patients; controls were SARS-CoV-2 negative subjects extracted from primary healthcare databases: as such, the number of hypertensive subjects includes both cases and controls and is higher than the number of COVID-19 patients.
†Number of patients with severe COVID-19 among only those with hypertension.
‡Included only in sensitivity analyses.
ARBs, Angiotensin receptor blockers; ICU, intensive care unit; mech., mechanical; NR, not reported; SARS-CoV-2, severe acute respiratory syndrome coronavirus 2.
Methodological quality of the included studies according to the Newcastle Ottawa Scale
| Selection | Comparability | Outcome | |
| (max. score 4) | (max. score 2) | (max. score 3) | |
| Bean | 4 | 2 | 3 |
| Bravi | 4 | 2 | 3 |
| de Abajo | 4 | 2 | 3 |
| Giorgi Rossi | 4 | 2 | 3 |
| Liu | 4 | 2 | 1 |
| Mancia | 4 | 2 | 3 |
| Mehta | 3 | 2 | 1 |
| Reynolds | 4 | 2 | 3 |
| Tedeschi | 4 | 2 | 3 |
| Zhang | 4 | 2 | 3 |
Risk of severe/fatal COVID-19 or death among hypertensive subjects treated with RAAS inhibitors versus untreated subjects, overall and by drug class
| Outcomes | No. of studies | Pooled | P value | I2, % |
| 1. Severe/fatal COVID-19* (in users vs non users): | ||||
| ACE inhibitors only | 5 (7489) | 0.90 (0.65 to 1.26) | 0.6 | 80 |
| ARBs only | 5 (7462) | 0.92 (0.75 to 1.12) | 0.4 | 25 |
| ARBs/ACE inhibitors | 5 (11 334) | 1.00 (0.84 to 1.18) | 0.9 | 50 |
| 2. Death from COVID-19 (in users vs non users): | ||||
|
| ||||
| ARBs/ACE inhibitors | 4 (2412) | 0.88 (0.68 to 1.14) | 0.3 | 24 |
|
| ||||
| ARBs/ACE inhibitors | 5 (4758) | 0.85 (0.71 to 1.03) | 0.10 | 12 |
All meta-analyses are based on a generic inverse variance approach.
*Including admission into intensive care unit, need for mechanical ventilation or death.
†Including one retracted study.25 26
ARBs, angiotensin receptor blockers; RAAS, renin–angiotensin–aldosterone.
Figure 2Risk of severe/lethal COVID-19 among ACE inhibitors users versus non-users.
Figure 3Risk of severe/lethal COVID-19 among ARB inhibitors users, versus non-users. ARBs, angiotensin receptor blockers.
Figure 4Risk of severe/lethal COVID-19 among ACE inhibitors/ARBs users versus non-users. ARBs, angiotensin receptor blockers.
Figure 5Risk of death among ACE inhibitors/ARBs users versus non-users. ARBs, angiotensin receptor blockers.