Comparison of renin–angiotensin–aldosterone system inhibitors with other antihypertensives in association with coronavirus disease-19 clinical outcomes

DOI: https://doi.org/10.21203/rs.3.rs-85373/v1

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.

Methods: We searched published articles through PubMed, EMBASE and medRxiv from 5 January 2020 to 3 August 2020. Studies that reported clinical outcomes of patients with COVID-19, stratified by the class of antihypertensives, were included. Random and fixed-effects models were used to estimate pooled odds ratio (OR).

Results: A total 36 studies involving 30,795 patients with COVID-19 were included. The overall risk of poor patient outcomes (severe COVID-19 or death) was lower in patients taking RAAS inhibitors (OR=0.79, 95% CI: [0.67, 0.95]) compared with those receiving non-RAAS inhibitor antihypertensives. However, further sub-meta-analysis showed that specific RAAS inhibitors did not show a reduction of poor COVID-19 outcomes when compared with any class of antihypertensive except beta-blockers (BBs). For example, compared to calcium channel blockers (CCBs), neither angiotensin-I-converting enzyme inhibitors (ACEIs) (OR=0.91, 95% CI: [0.67, 1.23]) nor angiotensin-II receptor blockers (ARBs) (OR=0.90, 95% CI: [0.62, 1.33]) showed a reduction of poor COVID-19 outcomes. When compared with BBs, however, both ACEIs (OR=0.85, 95% CI: [0.73, 0.99) and ARBs (OR=0.72, 95% CI: [0.55, 0.94]) showed an apparent decrease in poor COVID-19 outcomes.

Conclusions: RAAS inhibitors did not increase the risk of mortality or severity of COVID-19. Differences in COVID-19 clinical outcomes between different class of antihypertensive drugs were likely due to the underlying comorbidities for which the antihypertensive drugs were prescribed. 

Background

The effect of renin–angiotensin–aldosterone system (RAAS) inhibitors on the clinical outcomes of coronavirus disease-19 (COVID-19) is of great interest [1]. This is because RAAS blockers, one of the most commonly prescribed antihypertensive drug groups, were previously reported to have some interactions with the pathophysiology of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) [1, 2].

Experimental studies have shown that blockage of RAAS by either angiotensin-I-converting enzyme inhibitors (ACEIs) or angiotensin-II receptor blockers (ARBs) substantially upregulates the expression of host angiotensin-converting enzyme 2 (ACE2) [3], a transmembrane enzyme used by SARS-CoV-2 as a receptor to enter and infect cells [4]. On the other hand, ACE2 catalyzes the degradation of potentially harmful angiotensin-II to a vasodilator angiotensin (1–7), which has antiarrhythmic and cardioprotective effects [3, 2]. In addition, RAAS inhibitors may also prevent some complications of COVID-19, such as hypokalaemia. Hence, despite concerns that overexpression of ACE2 with RAAS inhibitors could facilitate infection of tissues by SARS-CoV-2, these drugs could also have a therapeutic role.

Recent studies on the effects of RAAS inhibitors (ACEIs and ARBs) on the clinical outcomes of patients with COVID-19 have reported conflicting results, ranging from a decrease in mortality [5, 6], no effect [710] or even an increase in mortality [11]. Even previous meta-analysis studies had conflicting findings that reported either a decrease [1214] or an increase [15] in mortality with RAAS inhibitors. These varying effects on mortality may not be caused by the drugs themselves and could be related to the underlying comorbidities that guided the antihypertensive drug selection (e.g. beta-blockers (BBs) for a hypertensive patient with angina). This bias could partially be avoided by performing multiple sub-meta-analysis comparing one specific class of antihypertensive to another antihypertensive class. This permits a fair comparison of antihypertensive drugs with similar indication and helps us to keep compelling comorbidities in mind when comparing class of drugs with totally different indications (e.g. BBs for heart failure with systolic dysfunction versus thiazides for hypertension without this comorbidity[16]). As no prior meta-analysis made such analysis, we compared the of risk developing poor COVID-19 clinical outcomes among the five specific classes of antihypertensives: (ACEIs, ARBs, BBs, calcium channel blockers (CCBs), and thiazides). In addition, this updated systematic review and meta-analysis included the most recent studies to estimate the overall risk of poor COVID-19 outcomes in patients receiving RAAS inhibitors compared to those receiving non-RAAS inhibitor antihypertensive agents.

Methods

This study was conducted following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) 2009 checklist [17] (Table S1).

Data sources and search terms

We searched PubMed, EMBASE and medRxiv preprint server to identify potentially relevant articles published between 5 January 2020 to 3 August 2020. A grey literature search was also performed to find additional articles that may have not been indexed. We used three main search keywords: (1) clinical outcome OR death OR mortality, (2) angiotensin and (3) COVID. These key words were combined with Boolean operators to make the following search term: (((((clinical outcome) OR death) OR mortality)) AND angiotensin) AND COVID. We found 339 and 604 articles indexed in PubMed and EMBASE, respectively. We also found 498 articles from medRxiv preprint server and one article from manual search. Two authors (Y. B., W. B.) selected studies by screening titles and abstracts. A third author (E. A) served as a mediator to reach a consensus for discrepancies.

Study definitions

RAAS inhibitors in this study refer to only ACEIs and ARBs whereas non-RAAS inhibitors include CCBs, BBs and thiazide diuretics. Severe COVID-19 refers to the presence of any of the following: respiratory rate ≥ 30 breaths/minute, oxygen saturation at rest ≤ 93%, oxygenation index [partial pressure of arterial oxygen (PaO2)/ percentage of inspired oxygen (FiO2)] ≤ 300 mm Hg, respiratory or other organ failure, mechanical ventilation, shock, or intensive care unit treatment[18]. We used the term ‘poor clinical outcome’ to indicate the presence of either severe COVID-19 or death. Main meta-analysis refers to the overall comparison of RAAS inhibitors to non-RAAS inhibitor drugs whereas sub-meta-analyses were comparison between specific class of drugs within the above two major groups of antihypertensives (e.g. ACEIs to CCBs).

Outcome of Interest

The main outcome of interest was the overall risk of having poor clinical outcomes in patients infected with COVID-19 while receiving RAAS inhibitors, compared with those taking other antihypertensive agents. The secondary outcome was the risk of severe COVID-19 or death in patients receiving a specific RAAS inhibitor (e.g. ACEIs) compared with those receiving other classes of antihypertensives.

Study selection: inclusion and exclusion criteria

Studies that reported the clinical outcomes of COVID-19 patients stratified by class of antihypertensive drug therapy (treated group on RAAS inhibitors and control group on non-RAAS inhibitors) were included. Cohort (prospective or retrospective) studies, clinical trials, case series and editorials/letters that assessed COVID-19 clinical outcomes for patients taking RAAS inhibitors versus non-RAAS inhibitors were included. The included papers were either published (including preprint servers) or accepted original articles written in English. We excluded review papers and case reports. In addition, studies that compared COVID-19 clinical outcomes in two groups where the treated group were taking RAAS inhibitors whereas the control group were not taking any form of antihypertensive (e.g. hypertension requiring only dietary management) were ineligible. This was to have comparable groups in terms of the severity level of the comorbidity.

Data extraction and quality control

In each study, the total number of patients taking RAAS inhibitors or other class(es) of antihypertensives was recorded. Then, for each antihypertensive class exposure, the total number of patients with a poor clinical outcome (severe COVID-19 or death) versus those with a good outcome (non-severe COVID-19 and survival) were recorded. In addition, year, design of study and nature of comorbidities were also documented (Table 1).

Table 1

General characteristics of enrolled patients

Study

Study design

Comorbidity

Drug class

Survivors

Non-survivors

Total (survivors + non-survivors)

% poor outcome per drug class

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%

Study

Retrospective cohort

 

Drug class

Non severe COVID-19

Severe COVID-19

Total (severe and non-severe COVID-19)

% severe COVID-19 per drug class

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; CCBs, calcium channel blockers; CVD, cardiovascular diseases; HTN, hypertension.

 

The Newcastle-Ottawa quality assessment scale (NOS) [19] was used for quality assessment of the included studies (Table S2). Two reviewers (W.B. and E.A.) independently performed the quality assessment and another author (Y.B.) brought consensus during discrepancies. Articles which got a score of less than 7 stars in the NOS were considered poor quality and excluded (Table S2).

Data Analysis

A random-effects meta-analysis using the DerSimonian and Laird method [20] was used to estimate pooled odds ratio (OR) whenever the heterogeneity (I2) was above 25% and the fixed effects model (Mantel-Haenszel) was used when heterogeneity was ≤ 25%. A two-side alpha value less than 0.05 was considered statistically significant. Publication bias was assessed using the funnel plot asymmetry. All analyses were performed using the OpenMeta (Analyst) [21].

Results

Study characteristics and quality assessment

A total of 1,442 potentially relevant articles were identified through our search strategy. Of these, 36 articles were included in our final analysis (Fig. 2). All the included articles were of good quality (NOS score ≥ 7), and study characteristics and quality assessment are shown in Table 1 and Table S2, respectively.

A total of 30,795 COVID-19 patients were included. Among these, 19.6% (6,036/30,795) of them had poor COVID-19 outcome. Majority of these patients (55% or 16,873/30,795) were taking non-RAAS inhibitors, whereas 45% (13,922/30,795) were receiving RAAS inhibitors. In most of the studies (22 of the 36 studies) patients taking antihypertensives were categorized based on the severity of COVID-19, whereas in the remaining 14 studies they were categorized based on survival after COVID-19 (Table 1). Eighteen studies compared RAAS inhibitors to non-RAAS inhibitors without mentioning of a specific antihypertensive sub-class whereas the remaining 18 studies documented the number of patients taking a specific drug class within the RAAS inhibitor and non-RAAS inhibitor drug groups. The latter group of studies that documented specific drug classes were eligible for sub-meta-analyses. In these studies, the total number of patients taking ACEIs (5,145) and ARBs (5,250) were comparable. In addition, the number of patients taking CCBs (3,102), BBs (2,792), and thiazides (1,797) were approximately comparable (Table 1).

Comparison of the risk of poor COVID-19 clinical outcomes with different antihypertensives

We found that the overall risk of poor patient outcomes was lower in patients taking RAAS inhibitors (OR = 0.79, 95% CI: [0.67, 0.95]) compared with those taking non-RAAS inhibitors. Specific comparison of ACEIs to different antihypertensives including ARBs, CCBs, thiazides did not bring a decrease in poor outcomes among COVID-19 patients (Table 2). Similarly, comparison of ARBs to these class of drugs did not show a significant improvement in outcomes. For example, it is interesting to note that a comparison of ARBs to CCBs (OR = 0.90, 95% CI: [0.62, 1.33]) did not show difference in poor COVID-19 outcomes. However, comparison of either ACEIs or ARBs to BBs showed a decrease in poor COVID-19 outcomes (OR = 0.85, 95% CI: [0.73, 0.99]) and (OR = 0.72, 95% CI: [0.55, 0.94]), respectively.

Table 2

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 S1

ACEIs to BBs

0.85

0.73–0.99

MH

7

Figure S2

ACEIs to CCBs

0.91

0.67–1.23

RE

8

Figure S3

ACEIs to Thiazides

1.22

1.02–1.45

MH

6

Figure S4

ACEIs to all other antihypertensives

0.91

0.84–0.99

MH

16

Figure S5

ARBs to all other antihypertensives

0.98

0.83–1.17

RE

16

Figure S6

ARBs to BBs

0.72

0.55–0.94

RE

7

Figure S7

ARBs to CCBs

0.90

0.62–1.33

RE

8

Figure S8

ARBs to Thiazides

1.15

0.97–1.37

MH

6

Figure S9

ARBs to all other non-RAAS antihypertensives

0.89

0.71–1.12

RE

11

Figure S10

ACEIs to all other non-RAAS antihypertensives

0.89

0.74–1.06

RE

11

Figure S11

CCBs to ACEI, ARBs, BBs

0.95

0.68–1.33

RE

10

Figure S12

ACEI, ARBs, BBs to CCBs and thiazides

1.13

0.87–1.47

RE

10

Figure S13

Abbreviations: ACEI, angiotensin-I-converting enzyme inhibitors; ARBs, angiotensin II receptor blockers; BBs, Beta blockers; CCBs, calcium channel blockers.

 

 

Discussion

Evidence on the safety of antihypertensive medications is of paramount importance as about one-third of the world’s population is estimated to have hypertension [22] and this comorbidity is associated with increased mortality in patients with COVID-19 [23]. Since RAAS inhibitors were reported to affect the clinical outcome of COVID-19, either for good or worse [6, 11, 24], we pooled recent studies to provide stronger evidence on the effects of these drugs. In addition, we also performed multiple sub-meta-analyses (comparing class of antihypertensives) to identify the effect of specific drug classes. We found that COVID-19 patients taking RAAS inhibitors had an overall decreased risk of poor outcomes compared to those receiving non-RAAS inhibitors. However, based on our multiple sub-meta-analysis findings (Table 2), these effects were likely related to the underlying comorbidities for which specific antihypertensive class of drugs were indicated, and not necessarily due to the drugs themselves.

It is possible that the overall decreased risk of COVID-19 severity or mortality with the use of RAAS inhibitors could be related to the blockage of a rapidly progressing systemic inflammation that is frequently seen in severe COVID-19 cases [25]. For example, COVID-19 patients taking ACE/ARBs had lower levels of inflammatory markers, such as interleukin 6 (IL-6) [9], C-reactive protein (CRP) and procalcitonin [10], than those not taking these drugs. In addition, these classes of drugs could also help prevent hypokalaemia, a complication that was reported to occur in COVID-19 patients [26]. Hence, RAAS inhibitors may decrease poor clinical outcomes by limiting the deleterious effects of angiotensin-II in multisystem inflammation, as well as by preventing the occurrence of hypokalaemia [25, 26]. Further, these drugs could also circumvent SARS-CoV-2 induced ACE2 downregulation in host cells, so that the preventive effects of ACE2 against severe disease are not lost [27].

However, the apparent decrease in COVID-19 poor outcomes with RAAS inhibitors could also be due to the mere comorbidity differences among patients who took different class of antihypertensive drugs. This is supported by our sub-meta-analyses findings that showed both ACEIs and ARBs were not different from CCBs in terms of COVID-19 outcomes (Table 2). Interestingly, however, ACEIs and ARBs showed a decrease in poor COVID-19 outcomes, when each were compared to BBs (Table 2). Therefore, the overall decrease in poor COVID-19 outcomes with RAAS inhibitors relative to non-RAAS inhibitors could be related to a more severe cardiovascular comorbidity in patients taking certain non-RAAS inhibitors like BBs.

In fact, a recent study showed that the use of either ACEIs or ARBs does not increase ACE2 expression in human tissues [28]. This is in sharp contrast to a previous experimental study (in rats) that reported an increase in ACE2 expression with these drugs [3]. Note that, increased ACE2 expression with the use of RAAS inhibitors was the key pathophysiologic process that was hypothesised to be associated with an increase in SARS-CoV-2 entry to human cells and hence diseases severity. On the other hand, increased ACE2 expression was also thought to be associated with a decrease in COVID-19 severity and mortality, since ACE2 enhances the degradation of harmful angiotensins into cardioprotective ones. Hence, combining all the above evidences, RAAS inhibitor antihypertensive medications might not have any effect at all on the severity or mortality of COVID-19.

To the best of our knowledge, this systematic review and meta-analysis is a comprehensive one including the most recent studies and clinical outcomes of COVID-19 among patients taking major classes of antihypertensive drugs. However, our study has some limitations, majority of which are implicit to the studies included. First, even though all of the included papers were of good quality, propensity matching to address common confounders was performed in only few of the studies. Second, the number of studies included in our sub-meta-analyses (versus the main meta-analysis) (Table 2) were relatively small and this might affect our conclusions. The other limitation is that our interpretation of sub-meta-analysis findings were based on our clinical judgement that assumed prescription of BBs could occur in patients with worse cardiovascular comorbidity[16]. For instance, patients taking certain antihypertensives like BBs may not necessarily have a worse cardiovascular condition. Similarly, even though ACEIs are good choice of antihypertensives in patients without any comorbidity, they are also preferred drugs in those who had myocardial infarction or systolic dysfunction. On the other hand, the strength of this meta-analysis is that we excluded studies that compared hypertensive patients who were taking RAAS inhibitors to those that were not taking any form of antihypertensive (e.g. on dietary management). This helped us to have comparable groups in terms of comorbidity and severity of hypertension.

Conclusion

The risk of increased severe COVID-19 or death was unlikely in patients receiving RAAS inhibitors. Differences in COVID-19 poor outcomes were likely due to the underlying comorbidities for which the antihypertensive drugs were prescribed. COVID-19 should not bring a discontinuation or change in treatment with RAAS inhibitors as these antihypertensive drugs might not have any effect at all on the disease severity or mortality of COVID-19.

Abbreviations

ACE2, angiotensin-converting enzyme 2; ACEI, angiotensin-I-converting enzyme inhibitors; ARBs, angiotensin II receptor blockers; BBs, Beta blockers; CCBs, calcium channel blockers; COVID-19, coronavirus disease-19; CRP, C-reactive protein; CVD, cardiovascular diseases; FiO2, percentage of inspired oxygen; HTN, hypertension; IL-6, interleukin 6; mm Hg, millimetre of mercury; NOS, Newcastle-Ottawa quality assessment scale; OR, odds ratio: PaO2, partial pressure of arterial oxygen; RAAS, renin–angiotensin–aldosterone system; SARS-CoV-2, severe acute respiratory syndrome coronavirus 2

Declarations

Ethics approval and consent to participate

Not applicable

Consent for publication

Not applicable

Availability of data and materials

The datasets supporting the conclusions of this article are included within the article and its additional file.

Competing interests

The authors declare no conflict of interest.

Funding

This research received no external funding.

Authors' Contributions: Conceptualization, Y.B. and W.B.; methodology, Y.B. and W.B.; validation, Y.B., G.P., W.B, E.A. and A.B.; formal analysis, Y.B.; investigation, Y.B., W.B.; data curation, Y.B. and W.B.; writing—original draft preparation, Y.B.; writing—review and editing, Y.B., G.P., E.A., A.B.; visualization, Y.B., G.P., E.A., and A.B.; supervision, W.B.; project administration, W.B. and Y.B. All authors have read and agreed to the published version of the manuscript.

Acknowledgement

Not applicable

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