| Literature DB >> 33796285 |
Jordana B Cohen1,2, Andrew M South3,4,5,6, Hossam A Shaltout5,6,7,8, Matthew R Sinclair9,10, Matthew A Sparks9,11.
Abstract
In the early months of the coronavirus disease 2019 (COVID-19) pandemic, a hypothesis emerged suggesting that pharmacologic inhibitors of the renin-angiotensin system (RAS) may increase COVID-19 severity. This hypothesis was based on the role of angiotensin-converting enzyme 2 (ACE2), a counterregulatory component of the RAS, as the binding site for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), allowing viral entry into host cells. Extrapolations from prior evidence led to speculation that upregulation of ACE2 by RAS blockade may increase the risk of adverse outcomes from COVID-19. However, counterarguments pointed to evidence of potential protective effects of ACE2 and RAS blockade with regard to acute lung injury, as well as substantial risks from discontinuing these commonly used and important medications. Here we provide an overview of classic RAS physiology and the crucial role of ACE2 in systemic pathways affected by COVID-19. Additionally, we critically review the physiologic and epidemiologic evidence surrounding the interactions between RAS blockade and COVID-19. We review recently published trial evidence and propose important future directions to improve upon our understanding of these relationships.Entities:
Keywords: COVID-19; SARS-CoV-2; angiotensin II receptor blocker; angiotensin-converting enzyme 2; angiotensin-converting enzyme inhibitor; coronavirus; hypertension; renin–angiotensin system
Year: 2021 PMID: 33796285 PMCID: PMC7929063 DOI: 10.1093/ckj/sfab026
Source DB: PubMed Journal: Clin Kidney J ISSN: 2048-8505
FIGURE 1Three proposed mechanisms of ACEI and ARB effect in COVID-19. ACE, angiotensin-converting enzyme; ACEI, angiotensin-converting enzyme inhibitor; ARB, angiotensin II receptor blocker; ACE2, angiotensin-converting enzyme 2; Ang I, angiotensin I; Ang II, angiotensin II; Ang-(1–7), angiotensin-(1–7); MasR, mas receptor; AT1R, angiotensin II type 1 receptor; DABK, [des-Arg]-bradykinin; B1, G-protein-coupled receptor for DABK; B2, G-protein-coupled receptor for bradykinin. Red dashed lines: harmful effects of ACEI/ARB; blue dashed lines: beneficial effects of ACEI/ARB; black dashed lines: effects of SARS-CoV-2; black solid lines: normal pathways; red Xs: downstream detrimental effects of ACEI on normal pathways; purple Xs: downstream detrimental effects of SARS-CoV-2 on normal pathways. This three-panel figure shows proposed mechanisms of ACEIs and ARBs in COVID-19 infection. Mechanism 1: ACEIs and ARBs are harmful. ACEIs and ARBs upregulate ACE2 expression on respiratory epithelial cells, thus increasing available receptors to bind SARS-CoV-2 and facilitate cell entry. Mechanism 2: ACEIs and ARBs are beneficial. ACEIs inhibit conversion of Ang I into Ang II, while ARBs inhibit Ang II binding to AT1R, thereby both ACEIs and ARBs block Ang II-AT1R–mediated deleterious effects in the lungs. Also shown are SARS-CoV-2-mediated ACE2 downregulation and subsequent Ang II cleavage into Ang-1–7 and Ang-1–7-MasR–mediated anti-inflammatory and anti-fibrotic effects. In the presence of SARS-CoV-2, there is less ACE2 available to cleave Ang II and hence more Ang II is available to bind to AT1R. Additionally, less Ang-1–7 is available to bind to MasR, leading to increased inflammation and fibrosis. Mechanism 3: ACEIs are harmful and ARBs are neutral. ACEIs inhibit bradykinin breakdown into harmless products, thus increased bradykinin either binds to the B2 receptor or is converted to DABK that binds to the B1 receptor, leading to increased lung inflammation. ARBs play no role in the bradykinin cascade and are not pictured. Additionally, SARS-CoV-2 downregulates ACE2, which normally breaks down DABK. More DABK is then available to bind to the B1 receptor, further promoting lung inflammation.
Common limitations of existing observational studies examining the association of ACEI or ARB therapy with development and severity of COVID-19
| Limitation | Definition | Examples |
|---|---|---|
| Confounding [ | Presence of a factor that is associated with the outcome, that is not on the causal path between the exposure and outcome, and is distributed unequally across exposure levels |
Different indications for use of ACEI or ARB therapy versus another antihypertensive class that may also be associated with worse outcomes (e.g. proteinuric chronic kidney disease and heart failure with reduced ejection fraction) Unmeasured factors such as sociodemographics, access to healthcare, medication adherence |
| Selection bias [ | Restriction of the study sample based on a confounding factor such that the sample is not representative of the population |
Restriction of the study sample to only individuals with diabetes mellitus, hypertension, chronic kidney disease, or heart failure |
| Collider bias [ | Restriction of the study sample based on a descendent factor that can induce a spurious association between the exposure and outcome |
Restriction of the study sample to only individuals with a positive COVID-19 test Restriction of the study sample to only individuals hospitalized with COVID-19 |
| Information bias [ | Error in collecting or documenting information |
Non-differential: use of invalidated administrative codes in the electronic health record to identify past medical history Differential: ACEI/ARB exposure history only reliably verified or updated in hospitalized individuals, in an electronic health record-based study evaluating COVID-19 hospitalization as the endpoint |
| Time-dependent bias [ | Failure to appropriately account for the timing of the initial exposure or exposure during follow-up |
Immortal time bias: in a cohort of hospitalized patients, defining ACEI/ARB use at the time of ICU admission Immeasurable time bias: in a cohort of hospitalized patients, defining exposure to ACEI/ARB use as having occurred at admission even among patients whose ACEI/ARB was held until they stabilized later in the admission/close to the time of discharge |
|
| Evaluation of multiple effect estimates from the same multivariable model that confounds the interpretation of direct-effect and total-effect estimates |
Reporting the association of multiple different medications with COVID-19-related outcomes that were all analyzed in a single multivariable model |
Table provides examples of common pitfalls of observational studies that were rapidly published to address concerns regarding the relationship of ACEI or ARB therapy with COVID-19-related outcomes. Most of these limitations can substantially alter the interpretability of the results but can be overcome or addressed with careful initial observational study design or ideally (but often not feasibly) by performing an RCT. Portions of the table were adapted from Cohen et al. [105].
Registered RCTs evaluating the safety and effectiveness of ACEI or ARB therapy in COVID-19
| Continuation versus withdrawal of ongoing ACEI or ARB therapy | |||||
|---|---|---|---|---|---|
| ClinicalTrials.gov study identifier |
Target Country | Population | Interventions | ||
| NCT04329195 (ACORES-2) |
554 France | Hospitalized with COVID-19 |
Discontinue ACEI/ARB Comparator: continue ACEI/ARB (open-label) | ||
| NCT04338009 (REPLACE COVID) [ |
152 USA/International | Hospitalized with COVID-19 |
Discontinue ACEI/ARB during hospitalization (resumed on discharge) Comparator: continue ACEI/ARB throughout hospitalization (open-label) | ||
| NCT04351581 (RASCOVID-19) |
215 Denmark | Hospitalized with COVID-19 |
Continue ACEI/ARB at the same dose throughout hospitalization Comparator: discontinue ACEI/ARB during admission for up to 30 days (open-label) | ||
| NCT04364893 (BRACE-CORONA) [ |
500 Brazil | Hospitalized with COVID-19 |
Continue ACEI/ARB for 30 days Comparator: stop ACEI/ARB for 30 days (open-label) | ||
| NCT04353596 (ACEI-COVID) |
208 Austria and Germany | Outpatient or hospitalized with COVID-19 |
Discontinue ACEI/ARB Comparator: continue ACEI/ARB (open-label) | ||
| Introduction of | |||||
| NCT04340557 |
200 USA | Hospitalized with COVID-19 requiring supplemental oxygen |
Losartan 12.5 mg twice daily for up to 10 days Comparator: no losartan (open-label) | ||
| NCT04351724 (ACOVACT substudy B) |
500 Austria | Outpatient or hospitalized with COVID-19 |
Candesartan titrated to BP <120/80 mm Hg Comparator: non-ACEI/ARB antihypertensive medication (open-label) | ||
| NCT04311177 |
580 USA | Outpatient with COVID-19 |
Losartan 25 mg daily Comparator: placebo (blinded) | ||
| NCT04328012 (COVIDMED group 3) |
4000 USA | Hospitalized with confirmed COVID-19 |
Losartan 25 mg daily for 5–14 days Comparator: placebo (blinded) | ||
| NCT04335786 (PRAETORIAN-COVID) |
651 The Netherlands | Hospitalized with confirmed COVID-19 |
Valsartan 160 mg twice daily up to 14 days Comparator: placebo (blinded) | ||
Table provides an overview of selected examples of registered RCTs evaluating the safety and effectiveness of continuation versus withdrawal and de novo introduction of ACEI or ARB therapy in both outpatients and inpatients with COVID-19.