Key PointsQuestion
Is angiotensin-converting enzyme inhibitor (ACEI)/angiotensin receptor blocker (ARB) use associated with greater susceptibility to coronavirus disease 2019 (COVID-19) and with worse outcomes after COVID-19 diagnosis?
Findings
In a retrospective cohort study of 4480 patients diagnosed as having COVID-19, prior ACEI/ARB use, compared with no use, was not significantly associated with mortality (adjusted hazard ratio, 0.83). In a nested case-control study of a cohort of 494 170 patients with hypertension, use of ACEI/ARB, compared with use of other antihypertensive medications, was not significantly associated with COVID-19 diagnosis (adjusted hazard ratio, 1.05).
Meaning
Prior use of ACEI/ARB was not significantly associated with COVID-19 diagnosis or with mortality among patients diagnosed as having COVID-19.
Importance
It has been hypothesized that angiotensin-converting enzyme inhibitors (ACEIs)/angiotensin receptor blockers (ARBs) may make patients more susceptible to coronavirus disease 2019 (COVID-19) and to worse outcomes through upregulation of the functional receptor of the virus, angiotensin-converting enzyme 2.
Objective
To examine whether use of ACEI/ARBs was associated with COVID-19 diagnosis and worse outcomes in patients with COVID-19.
Design, Setting, and Participants
To examine outcomes among patients with COVID-19, a retrospective cohort study using data from Danish national administrative registries was conducted. Patients with COVID-19 from February 22 to May 4, 2020, were identified using ICD-10 codes and followed up from day of diagnosis to outcome or end of study period (May 4, 2020). To examine susceptibility to COVID-19, a Cox regression model with a nested case-control framework was used to examine the association between use of ACEI/ARBs vs other antihypertensive drugs and the incidence rate of a COVID-19 diagnosis in a cohort of patients with hypertension from February 1 to May 4, 2020.
Exposures
ACEI/ARB use was defined as prescription fillings 6 months prior to the index date.
Main Outcomes and Measures
In the retrospective cohort study, the primary outcome was death, and a secondary outcome was a composite outcome of death or severe COVID-19. In the nested case-control susceptibility analysis, the outcome was COVID-19 diagnosis.
Results
In the retrospective cohort study, 4480 patients with COVID-19 were included (median age, 54.7 years [interquartile range, 40.9-72.0]; 47.9% men). There were 895 users (20.0%) of ACEI/ARBs and 3585 nonusers (80.0%). In the ACEI/ARB group, 18.1% died within 30 days vs 7.3% in the nonuser group, but this association was not significant after adjustment for age, sex, and medical history (adjusted hazard ratio [HR], 0.83 [95% CI, 0.67-1.03]). Death or severe COVID-19 occurred in 31.9% of ACEI/ARB users vs 14.2% of nonusers by 30 days (adjusted HR, 1.04 [95% CI, 0.89-1.23]). In the nested case-control analysis of COVID-19 susceptibility, 571 patients with COVID-19 and prior hypertension (median age, 73.9 years; 54.3% men) were compared with 5710 age- and sex-matched controls with prior hypertension but not COVID-19. Among those with COVID-19, 86.5% used ACEI/ARBs vs 85.4% of controls; ACEI/ARB use compared with other antihypertensive drugs was not significantly associated with higher incidence of COVID-19 (adjusted HR, 1.05 [95% CI, 0.80-1.36]).
Conclusions and Relevance
Prior use of ACEI/ARBs was not significantly associated with COVID-19 diagnosis among patients with hypertension or with mortality or severe disease among patients diagnosed as having COVID-19. These findings do not support discontinuation of ACEI/ARB medications that are clinically indicated in the context of the COVID-19 pandemic.
Coronavirus disease 2019 (COVID-19) caused by the novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is a major threat to global health. Research on modifiable risk factors potentially linked to increased susceptibility to infection or to worse outcomes among those who have the disease has focused on cardiovascular comorbidity, hypertension, and diabetes.1-5 Interest has been directed to the use of angiotensin-converting enzyme inhibitors (ACEIs)/angiotensin receptor blockers (ARBs) because these drugs may affect the ability of SARS-CoV-2 to infect cells through upregulation of angiotensin-converting enzyme 2 (ACE2), the receptor for SARS-CoV-2 cell entry.6,7 Based on this suggested mechanism, media reports have raised questions about ACEI/ARB treatment in the setting of COVID-19. In response, opinion leaders5,8-10 have emphasized that data do not support discontinuation of ACEI/ARBs and have called for outcome studies. Data are emerging from selected cohorts, and results to date have suggested that ACEI/ARB use was not associated with increased risk of COVID-19 or worse outcomes among those with infection.10-14 To further inform these questions, a nationwide observational study of patients in Denmark through May 4, 2020, examined whether use of ACEI/ARBs was associated with susceptibility to COVID-19 and with risk of death or severe infection among those with COVID-19 when accounting for patients’ comorbidities and age.
Retrospective studies do not require ethics approval in Denmark and all data were deidentified and only available through Statistics Denmark. Approval from the Danish Data Protection Agency was secured, and the need for patient informed consent was waived.
Data from Danish national administrative registries were linked on an individual level by the use of a unique personal identifier. By such linkage, data were obtained on civil status, hospitalizations, procedures, and prescription fills. The Danish health care system is administered by the state, and all hospitalizations since 1978 are registered (using International Classification of Diseases, Eighth Revision [ICD-8] coding of diagnoses from 1978-1994 and International Statistical Classification of Diseases and Related Health Problems, Tenth Revision [ICD-10] thereafter), all procedures since 1996 are registered, and all prescription fills since 1995 are registered. The Danish registries are validated, previously described in detail, and are of high quality and completeness.15,16
Study Patients and Covariates
For the retrospective cohort study, all Danish residents were available for study inclusion, and those who were examined in a hospital and had a diagnosis code for COVID-19 registered after February 1, 2020, were included in this study (explicit ICD-10 codes B342A, B972, and B972A created for the COVID-19 pandemic by the Danish Ministry of Health in accord with the definition established by the World Health Organization). A local hospital (University Hospital of Copenhagen, Rigshospitalet) approved a quality assessment of COVID-19 ICD-10 codes for the present study; 98 patient records with an ICD-10 code for COVID-19 were reviewed and 97 of these had a laboratory-confirmed real-time reverse transcription–polymerase chain reaction test for SARS-CoV-2 (extrapolated positive predictive value, 98%). The index date was day of diagnosis of COVID-19. Socioeconomic status was defined by educational level and the median household income the year prior to the index date by quartiles. Medical histories and use of medications were defined by diagnoses related to prior hospital admissions or outpatient visits and filled prescriptions through Danish pharmacies. Definitions have been used in prior studies and have been validated in the national Danish registries.15,16 Specifically, hypertension was defined by use of more than 1 antihypertensive drug, as previously defined with good specificity.17
For the susceptibility analysis, a nested case-control framework was used. A cohort of all patients with hypertension in Denmark was followed up between February 1, 2020, and until incident COVID-19 diagnosis, death without incident COVID-19 diagnosis, or May 4, 2020, whichever came first. Patients with COVID-19 and prior hypertension were designated as cases in the analysis, and these were matched with 10 controls on age and sex among users of antihypertensive drugs without COVID-19. Patients with other indications for ACEI/ARB therapy (eg, heart failure or chronic kidney failure) were excluded to limit confounding by indication.
Exposure of Interest: Use of ACEI/ARBs
The exposure of interest was patients’ use of ACEI/ARBs, and this was captured through prescription fillings (≥1 filling) in a 6-month period prior to the index date. The anatomical therapeutic group code of C09 was used for identifying ACEI/ARBs, C09AA for ACEIs, and C09CA for ARBs. C09BA was used for combinations of ACEIs and diuretics and C09DA for combinations of ARBs and diuretics. Sacubitril/valsartan was categorized as an ARB. To increase the robustness of the exposure definition and results, all analyses were repeated among ACEI/ARB users who filled a prescription within 3 months of the index date instead of 6 months. In addition, analyses were performed for those who filled more than 1 prescription within 6 months of the index date.
Outcomes, Follow-up, and Comparison
For the retrospective cohort study, there were 3 outcomes of interest compared by ACEI/ARB use or no use. The primary outcome was all-cause death. Secondary outcomes were (1) a composite of death or severe COVID-19 (defined as ICD-10 diagnosis code B972A designating COVID-19 with SARS or intensive care unit admission designated by procedure code NABE) and (2) severe COVID-19 (ICD-10 code B972A or intensive care unit admission). Patients were followed up from the index date and until 1 of the following: outcome occurrence, end of study period (May 4, 2020), or emigration from Denmark. For the primary analyses, ACEI/ARB use was the exposure of interest and nonusers were the control group. For the sensitivity analyses, ACEI/ARB users were compared with 2 different active controls: patients using any other antihypertensive drug and patients using calcium channel blockers (CCBs).
For the susceptibility analysis, among patients with hypertension, the association between ACEI/ARB use and COVID-19 diagnosis was analyzed in a nested case-control framework. The primary outcome for this analysis was COVID-19 diagnosis. The incidence rates of COVID-19 among ACEI/ARB users were compared with the incidence rates among (1) patients using other antihypertensive drugs and (2) patients using CCBs.
Patient characteristics were summarized using medians and interquartile ranges (IQRs) for continuous variables and percentages for categorical variables, and differences were tested with Wilcoxon and χ2 tests, respectively. Outcomes were analyzed with the Kaplan-Meier method and compared using Cox regression, both unadjusted and adjusted. Adjusted models included the following covariates: age; sex; highest obtained education; income; history of myocardial infarction, heart failure, kidney disease, stroke, peripheral artery disease, atrial fibrillation, diabetes, chronic obstructive pulmonary disease, and malignancy; and use of the following concomitant medications: other antihypertensive drugs, lipid-lowering drugs, anticoagulants, or nonsteroidal anti-inflammatory drugs. Hazard ratios (HRs), 30-day risks of outcomes standardized to the risk factor distribution of all patients in the sample, and differences of standardized 30-day risks are reported.
For the outcome of severe COVID-19, the main Cox regression model was combined with a Cox regression model for the rate of the competing risk of death without severe COVID-19.18 We tested and found the assumptions of the Cox regression model (proportional hazards, no interactions, linearity of the effect of age) to be valid by comparing the estimate of the model with a random survival forest model, which does not make any of these assumptions.
ACEI/ARB users were compared with nonusers but also with active controls of users of CCBs. This was done in a subgroup of patients using either CCBs or ACEI/ARBs; patients who used both ACEI/ARBs and CCBs were not included. Prior ACEI use vs prior ARB use was also examined separately and compared with nonusers. Subgroup analyses (by sex, patients with known hypertension, hospitalized patients, and age groups) were performed, and differences of HRs between subgroups were tested by Wald tests for statistical interaction. As a sensitivity analysis, all analyses were repeated among ACEI/ARB users who filled a prescription within 3 months of the index date instead of 6 months. In addition, analyses were also performed for those who filled more than 1 prescription within 6 months of the index date.
Susceptibility to COVID-19 associated with ACEI/ARB use was examined with a Cox regression model with baseline hazard rate stratified for age and sex. The model was fitted using a nested case-control design with 10 age- and sex-matched controls for each COVID-19 case as described by Borgan and Samuelsen.19 The model makes no proportional hazards assumption for the matching variables (age and sex); but the proportional hazards assumption of the other variables was tested visually with marginal residual plots and was found to be met. Cases (patients with COVID-19) were identified for the analysis by following a cohort of patients with hypertension from February 1, 2020 (ensuring that all persons were “event-free”), through May 4, 2020.
Cases were matched with 10 controls on age and sex from the subgroup of the cohort who was still “at-risk,” ie, alive and without a COVID-19 diagnosis at the date of the COVID-19 case’s diagnosis. The model was further adjusted for history of chronic obstructive pulmonary disease, diabetes, cancer, myocardial infarction, and cerebrovascular disease. Missingness was minimal (only relevant for education and, for that, missingness was <1%), imputation methods were not required, and all analyses represent complete-case analyses. Because of the potential for type I error due to multiple comparisons, findings for analyses of secondary end points should be interpreted as exploratory. All statistical analyses were performed using the SAS statistical software (version 9.4; SAS Institute) and R (Version 4.0.1; R Core Team [2019]). The level of statistical significance was set at 5% and all statistical tests were 2-tailed.
For the retrospective cohort study designed to examine outcomes among patients with COVID-19, 4480 patients with COVID-19 were included; 895 (20.0%) used ACEI/ARBs and 3585 (80.0%) did not. Patient selection is shown in the eFigure in the Supplement. The first patient was included on February 22, 2020, and the last on May 4, 2020. Baseline characteristics of the study groups are shown in Table 1. Users of ACEI/ARBs were older than nonusers (72.8 years [IQR, 61.0-81.0] vs 50.1 years [IQR, 37.2-64.5]) and were more likely to have comorbid conditions, especially cardiovascular comorbidity (eg, 21.6% vs 5.2% with prior myocardial infarction and 14.6% vs 3.1% with heart failure). ACEI/ARB users were more often men than nonusers (55.1% vs 46.1%). A total of 2222 patients (49.6%) were hospitalized when the diagnosis of COVID-19 was made. The median follow-up time was 34 days (IQR, 25-47) from date of COVID-19 diagnosis. At the end of the study period, 165 patients were still hospitalized.
Mortality and Severe Disease Among Patients Diagnosed as Having COVID-19
In the ACEI/ARB group, 18.1% died within 30 days vs 7.3% in the nonuser group. Table 2 shows the unadjusted and adjusted HRs from the Cox regression analysis. ACEI/ARB use was significantly associated with greater risk of mortality relative to nonuse in the unadjusted analysis (HR, 2.65 [95% CI, 2.18-3.23]), but the association was not significant after accounting for age and medical history (HR, 0.83 [95% CI, 0.67-1.03]). Standardized 30-day mortality risks are shown in Table 3 and showed similar results with adjusted standardized mortality of 8.8% (95% CI, 7.6%-10.1%) among ACEI/ARB users and 10.2% (95% CI, 9.1%-11.3%) among nonusers (risk difference, −1.3% [95% CI, −2.9% to 0.2%]; P = .09).
By 30 days, the combined end point of death or severe COVID-19 had occurred in 31.9% of ACEI/ARB users and in 14.2% of nonusers. The adjusted standardized 30-day risk was 17.9% (95% CI, 15.9%-19.7%) in the ACEI/ARB group vs 17.2% (95% CI, 15.9%-18.5%) in the nonuser group (risk difference, 0.6% [95% CI, −1.7% to 2.9%]; P = .62). Table 2 shows the unadjusted and adjusted HRs derived from the Cox regression analysis. Like the primary outcome of death, ACEI/ARB use was significantly associated with a higher rate of the combined end point of death or severe COVID-19 in unadjusted analysis (HR, 2.49 [95% CI, 2.15-2.88]), but this association was not significant after adjusting for age and comorbidities (HR, 1.04 [95% CI, 0.89-1.23]).
Severe COVID-19 was coded in 576 patients (12.9%) within 30 days: 203 (22.6%) among ACEI/ARB users and 373 (10.4%) among nonusers. Adjusted standardized absolute 30-day risk of severe COVID-19 was 14.8% (95% CI, 12.7%-16.9%) in the ACEI/ARB group and 12.9% (95% CI, 11.7%-14.2%) in the nonuser group (risk difference, 1.9% [95% CI, −0.8% to 4.5%]; P = .17). Table 2 shows the unadjusted and adjusted HRs from the Cox regression analysis. ACEI/ARB use was associated with severe COVID-19 in unadjusted analysis (HR, 2.34 [95% CI, 1.97-2.77]), but this association was not significant after adjusting for age and comorbidities (HR, 1.15 [95% CI, 0.95-1.41]).
Analyses of Susceptibility
Table 4 shows the characteristics of the cohort of patients with hypertension at the start of follow-up (February 1, 2020). Users of ACEI/ARBs were of similar age as the overall group of patients with hypertension; the median age was 71 years (IQR, 62-78) for ACEI/ARB users and 71 years (IQR, 62-78) for the entire cohort, whereas CCB users were older (median age, 73 years [IQR, 65-80]). Prevalence of prior diabetes and myocardial infarction were also similar for ACEI/ARB users (12.5% and 12.7%) compared with the entire hypertension cohort (12.1% and 13.5%); more CCB users had prior myocardial infarction (16.9%) but fewer had diabetes (8.0%).
In the nested case-control analysis of COVID-19 susceptibility, cases comprised 571 patients with COVID-19 and prior hypertension (median age, 73.9 years [IQR, 63.1-80.8]; 54.3% men) and these were compared with 5710 age- and sex-matched controls with prior hypertension but not COVID-19. Among cases, 86.5% used ACEI/ARBs vs 85.4% of controls. eTable 1 in the Supplement shows the characteristics at the time of COVID-19 diagnosis for these patients included in the analysis.
Compared with use of other antihypertensive drugs, ACEI/ARB use was not significantly associated with COVID-19 (adjusted HR, 1.05 [95% CI, 0.80-1.36]). This finding was similar for ACEI users and for ARB users analyzed separately (Table 5). For ACEI/ARB users compared with users of CCBs, the incidence rate of COVID-19 was not significantly different (HR, 1.23 [95% CI, 0.89-1.70]).
Sensitivity and Subgroup Analyses
For the retrospective cohort study, among patients with COVID-19, several sensitivity analyses were performed. An active comparator of CCB users was chosen, and analyses were computed for ACEI/ARB use alone vs CCB use without concurrent ACEI/ARB use. Patient characteristics are shown for the ACEI/ARB group vs the CCB users in eTable 2 in the Supplement. Groups shown in eTable 2 in the Supplement are not exclusive, but for outcomes analyses, patients represented in both groups were excluded. ACEI/ARB users were younger than CCB users (median age, 72.8 years vs 73.6 years) and were more likely to have had prior heart failure (14.6% vs 6.8%) and myocardial infarction (21.6% vs 17.9%). Analyses comparing ACEI/ARB users vs CCB users and analyses that evaluated ACEI users and ARB users separately compared with nonusers yielded HRs that were not statistically significant (Table 6).
The following subgroups were examined: (1) patients who required hospitalization, (2) patients with known hypertension, (3) by sex, and (4) by age groups (Figure). The results were similar to the overall results, and all tests for interaction with these covariates were not statistically significant (P > .05).
All analyses were repeated among patients with a prescription filling within 3 months of index, and results were similar to the main results. The unadjusted and adjusted HRs for death were 2.23 (95% CI, 1.80-2.75) and 0.77 (95% CI, 0.61-0.96), respectively. For the composite outcome of death or severe COVID-19, the unadjusted and adjusted HRs were 2.27 (95% CI, 1.94-2.65) and 1.01 (95% CI, 0.85-1.20). For severe COVID-19, the unadjusted and adjusted HRs were 2.23 (95% CI, 1.86-2.68) and 1.16 (95% CI, 0.95-1.42), respectively.
Among patients diagnosed as having COVID-19, this study found no significant association between prior ACEI/ARB use and mortality or severe COVID-19 after adjusting for baseline demographics and comorbidities. In analyses of susceptibility, ACEI/ARB use was not associated with a higher incidence rate of COVID-19 diagnosis compared with users of other antihypertensive drugs.
A recent report assessed the mechanisms of action of ACEIs and ARBs on the renin-angiotensin-aldosterone system and the rationale for why these drugs might affect COVID-19 virulence.10 The authors concluded that there was a need for data on this subject to inform clinical guidance on the use of ACEI/ARBs. The idea1,2,5 that ACE2 inhibition may confer worse outcomes in COVID-19 is based on suggestive mechanistic knowledge from animal studies. The ACE2 enzyme is a cell membrane protein, which the novel SARS-CoV-2 uses as a receptor to enter cells. Studies in experimental animal models have shown mixed findings,20-27 and there does not seem to be a clear mechanistic link between ACE2 upregulation and COVID-19 virulence and outcomes. The ACE2 enzyme is expressed widely throughout the body, including in the epithelial cells of the alveoli, the point of entry for SARS-CoV-2.22
In the study by Vaduganathan et al,10 the authors also made a case for a potential beneficial effect of renin-angiotensin system inhibitors. Data from observational studies from selected patient cohorts have recently emerged. Although the results suggest that ACEI/ARB use is not associated with increased risk of COVID-19 or worse COVID-19–related outcomes, these reports have included patients from individual health care systems with quite different patient characteristics and backgrounds. Li et al11 examined a case series from hospitals in Wuhan, China, and found no association between renin-angiotensin system inhibitors and COVID-19. Similar results using comparable designs in selected health care systems have been reported from North America13,14 and Italy.12 Reynolds et al14 studied patients with COVID-19 and hypertension and found no significant difference in COVID-19 outcomes with ACEI/ARB use relative to other antihypertensive drugs. All studies reported varying patient characteristics and outcomes, but ACEI/ARB use was not associated with worse prognosis. The present study represents population-based analyses of data from an entire country with comprehensive and validated databases. Furthermore, it includes analyses for susceptibility as well as outcomes, and the results suggest no association between ACEI/ARB use and COVID-19 diagnosis or in outcomes among infected patients. These findings were consistent across important subgroups and in analyses of an active comparator of CCB users.
ACEI/ARB treatment has been studied in various cardiovascular diseases and found to be efficacious in reducing death and cardiovascular end points.28-30 In this study cohort, 21.6% of ACEI/ARB users had a history of myocardial infarction and 14.6% a history of heart failure, 2 settings in which these drugs have been proven efficacious with reduced mortality over placebo.28-30 Clinical trials in a non–COVID-19 setting have shown worse outcomes in patients with heart failure when renin-angiotensin system inhibitors were discontinued.31,32 The findings of the present study support that, when clinically indicated, ACEI/ARB therapy should be continued in the setting of COVID-19 unless the patient is hemodynamically unstable. Several randomized studies of ACEI/ARB discontinuation in the setting of the COVID-19 pandemic are in progress.33-35
The use of ACEI/ARBs in patients with COVID-19 has been controversial in part due to early reports from China showing that patients with hypertension had worse outcomes.1-5 The analyses were crude and confounding factors were present that were also associated with hypertension, such as older age and cardiovascular disease.3,4,36 In patients with cardiovascular disease, COVID-19 is associated with substantial mortality, and clarification of confounding by disease or indication is crucial. The present study found that hypertension and cardiovascular disease as well as ACEI/ARB use were more prevalent among patients with older age. In turn, ACEI/ARB use was associated with worse COVID-19 outcomes in unadjusted analyses. However, when accounting for age, this association was no longer significant, and this held true after further multivariable adjustment as well. Hence, this study does not support a causal link between renin-angiotensin inhibition by ACEIs or ARBs and COVID-19 susceptibility or subsequent worse outcomes of COVID-19.
Professional societies have issued position statements that ACEI/ARBs should not be discontinued8,9—statements that this study supports. Observational data currently support statements from relevant societies8,9 to continue ACEI/ARB treatment, but randomized studies have been initiated in various settings of COVID-19 (hospitalized and outpatient) as well as for both ACEIs and ARBs.33-35 Further, for patients with pneumonia, ACEI/ARB use has been associated with improved outcomes37 and this was also recently suggested by observational data in patients with COVID-19.11
This study has several limitations. First, this was an observational study; no causal inference can be made and relationships should be interpreted as associations.
Second, data were derived from a national sample of patients with COVID-19 but in a short time span. Hence, screening strategies in the beginning of the pandemic may have introduced selection bias relative to strategies at a later period.
Third, new COVID-19–specific diagnosis codes for identification of patients were used. Laboratory data were not available to specifically confirm that the patient had a positive swab test; however, a patient sample of 98 cases with an ICD-10 code for COVID-19 was assessed and showed that 98% of those with ICD-10 codes for COVID-19 also had a laboratory-confirmed polymerase chain reaction test result for SARS-CoV-2.
Fourth, compared with official COVID-19 case numbers in Denmark, this study included fewer cases because ICD-10 codes capture only those patients who were diagnosed in the hospital system (inpatient or outpatient setting and not in dedicated COVID-19 diagnostic kiosks). Hence, ICD-10 codes had high specificity but lower sensitivity.
Fifth, study exposure of ACEI/ARB use was defined by prescription fillings. Filling data from Danish pharmacies have been shown to be complete, and a 6-month time window was used to define ACEI/ARB use. If this window was reduced to 3 months, the overall results of the study were similar. Information on in-hospital medication use was not available.
Sixth, the main analysis of this study compared ACEI/ARB users with nonusers, but confounding by indication may have influenced the results and an analysis with an active comparator (CCB users) was therefore also conducted. Results were similar for ACEI/ARB use vs nonuse and ACEI/ARB use vs CCB use.
Prior use of ACEI/ARBs was not significantly associated with COVID-19 diagnosis among patients with hypertension or with mortality or severe disease among patients diagnosed as having COVID-19. These findings do not support discontinuation of ACEI/ARB medications that are clinically indicated in the context of the COVID-19 pandemic.
Corresponding Author: Emil L. Fosbøl, MD, PhD, The Heart Center, University Hospital of Copenhagen, Rigshospitalet, Blegdamsvej 9, 2100 KBH Ø, Copenhagen, Denmark (elf@heart.dk).
Published Online: June 19, 2020. doi:10.1001/jama.2020.11301
Author Contributions: Drs Fosbøl and Gerds had full access to all the data in the study and take responsibility for the integrity of the data and the accuracy of the data analysis.
Concept and design: Fosbøl, Selmer, Gislason, Torp-Pedersen, Køber.
Acquisition, analysis, or interpretation of data: All authors.
Drafting of the manuscript: Fosbøl, Østergaard.
Critical revision of the manuscript for important intellectual content: Butt, Østergaard, Andersson, Selmer, Kragholm, Schou, Phelps, Gislason, Gerds, Torp-Pedersen, Køber.
Statistical analysis: Fosbøl, Østergaard, Selmer, Schou, Gislason, Gerds, Torp-Pedersen, Køber.
Administrative, technical, or material support: Fosbøl, Butt, Phelps, Gislason, Torp-Pedersen, Køber.
Supervision: Selmer, Torp-Pedersen, Køber.
Conflict of Interest Disclosures: Dr Schou reported receiving speaker fees from Novartis, Novo Nordisk, AstraZeneca, and Boehringer Ingelheim. Dr Torp-Pedersen reported receiving grants from Bayer and Novo Nordisk. Dr Køber reported receiving speaker honoraria from Novartis, AstraZeneca, and Boehringer Ingelheim. No other disclosures were reported.
1.Diaz
JH. Hypothesis: angiotensin-converting enzyme inhibitors and angiotensin receptor blockers may increase the risk of severe COVID-19.
J Travel Med. 2020;27(3):taaa041. doi:
10.1093/jtm/taaa041
PubMedGoogle Scholar 5.Sommerstein
R, Kochen
MM, Messerli
FH, Gräni
C. Coronavirus disease 2019 (COVID-19): do angiotensin-converting enzyme inhibitors/angiotensin receptor blockers have a biphasic effect?
J Am Heart Assoc. 2020;9(7):e016509. doi:
10.1161/JAHA.120.016509
PubMedGoogle Scholar 11.Li
J, Wang
X, Chen
J, Zhang
H, Deng
A. Association of renin-angiotensin system inhibitors with severity or risk of death in patients with hypertension hospitalized for coronavirus disease 2019 (COVID-19) infection in Wuhan, China.
JAMA Cardiol. Published online April 23, 2020. doi:
10.1001/jamacardio.2020.1624
PubMedGoogle Scholar 12.Mancia
G, Rea
F, Ludergnani
M, Apolone
G, Corrao
G. Renin-angiotensin-aldosterone system blockers and the risk of COVID-19.
N Engl J Med. Published online May 1, 2020. doi:
10.1056/NEJMoa2006923
PubMedGoogle Scholar 13.Mehta
N, Kalra
A, Nowacki
AS,
et al. Association of use of angiotensin-converting enzyme inhibitors and angiotensin ii receptor blockers with testing positive for coronavirus disease 2019 (COVID-19).
JAMA Cardiol. Published online May 5, 2020. doi:
10.1001/jamacardio.2020.1855
PubMedGoogle Scholar 17.Olesen
JB, Lip
GY, Hansen
ML,
et al. Validation of risk stratification schemes for predicting stroke and thromboembolism in patients with atrial fibrillation: nationwide cohort study.
BMJ. 2011;342:d124. doi:
10.1136/bmj.d124
PubMedGoogle ScholarCrossref 18.Ozenne
BMH, Scheike
TH, Staerk
L, Gerds
TA. On the estimation of average treatment effects with right-censored time to event outcome and competing risks.
Biom J. 2020;62(3):751-763.
Google ScholarCrossref 19.Borgan
O, Samuelsen
SO. Nested case-control and case-cohort studies. In: Klein
JP, van Houwelingen
HC, Ibrahim
JG, Scheike
TH, eds. Handbook of Survival Analysis. Chapman and Hall/CRC; 2013.
20.Burchill
LJ, Velkoska
E, Dean
RG, Griggs
K, Patel
SK, Burrell
LM. Combination renin-angiotensin system blockade and angiotensin-converting enzyme 2 in experimental myocardial infarction: implications for future therapeutic directions.
Clin Sci (Lond). 2012;123(11):649-658. doi:
10.1042/CS20120162
PubMedGoogle ScholarCrossref 22.Hamming
I, Timens
W, Bulthuis
ML, Lely
AT, Navis
G, van Goor
H. Tissue distribution of ACE2 protein, the functional receptor for SARS coronavirus: a first step in understanding SARS pathogenesis.
J Pathol. 2004;203(2):631-637. doi:
10.1002/path.1570
PubMedGoogle ScholarCrossref 23.Lakshmanan
AP, Thandavarayan
RA, Watanabe
K,
et al. Modulation of AT-1R/MAPK cascade by an olmesartan treatment attenuates diabetic nephropathy in streptozotocin-induced diabetic mice.
Mol Cell Endocrinol. 2012;348(1):104-111. doi:
10.1016/j.mce.2011.07.041
PubMedGoogle ScholarCrossref 25.Sukumaran
V, Veeraveedu
PT, Gurusamy
N,
et al. Olmesartan attenuates the development of heart failure after experimental autoimmune myocarditis in rats through the modulation of ANG 1-7 mas receptor.
Mol Cell Endocrinol. 2012;351(2):208-219. doi:
10.1016/j.mce.2011.12.010
PubMedGoogle ScholarCrossref 26.Sukumaran
V, Veeraveedu
PT, Lakshmanan
AP,
et al. Olmesartan medoxomil treatment potently improves cardiac myosin-induced dilated cardiomyopathy via the modulation of ACE-2 and ANG 1-7 mas receptor.
Free Radic Res. 2012;46(7):850-860. doi:
10.3109/10715762.2012.684878
PubMedGoogle ScholarCrossref 28.Cohn
JN, Tognoni
G; Valsartan Heart Failure Trial Investigators. A randomized trial of the angiotensin-receptor blocker valsartan in chronic heart failure.
N Engl J Med. 2001;345(23):1667-1675. doi:
10.1056/NEJMoa010713
PubMedGoogle ScholarCrossref 29.Group
CTS; CONSENSUS Trial Study Group. Effects of enalapril on mortality in severe congestive heart failure: results of the Cooperative North Scandinavian Enalapril Survival Study (CONSENSUS).
N Engl J Med. 1987;316(23):1429-1435. doi:
10.1056/NEJM198706043162301
PubMedGoogle ScholarCrossref 30.Køber
L, Torp-Pedersen
C, Carlsen
JE,
et al; Trandolapril Cardiac Evaluation (TRACE) Study Group. A clinical trial of the angiotensin-converting-enzyme inhibitor trandolapril in patients with left ventricular dysfunction after myocardial infarction.
N Engl J Med. 1995;333(25):1670-1676. doi:
10.1056/NEJM199512213332503
PubMedGoogle ScholarCrossref 31.Halliday
BP, Wassall
R, Lota
AS,
et al. Withdrawal of pharmacological treatment for heart failure in patients with recovered dilated cardiomyopathy (TRED-HF): an open-label, pilot, randomised trial.
Lancet. 2019;393(10166):61-73. doi:
10.1016/S0140-6736(18)32484-X
PubMedGoogle ScholarCrossref 32.Pflugfelder
PW, Baird
MG, Tonkon
MJ, DiBianco
R, Pitt
B; The Quinapril Heart Failure Trial Investigators. Clinical consequences of angiotensin-converting enzyme inhibitor withdrawal in chronic heart failure: a double-blind, placebo-controlled study of quinapril.
J Am Coll Cardiol. 1993;22(6):1557-1563. doi:
10.1016/0735-1097(93)90578-O
PubMedGoogle ScholarCrossref