Search Results
A comprehensive search was done using eight different journal databases. All search terms are provided in Table 1. Of all 500 potentially relevant articles identified through the initial search, 32 were found to be duplicate articles. Hence, the remaining 468 were screened based on titles and abstracts, and a number of 453 articles were excluded in accordance to inclusion criteria. Thus, 15 full texts of the remaining articles were further assessed for eligibility criteria. Nine articles were not included into the final selected articles in analysis due to incomplete data and written in non-English language. Description of these sequential steps in systematic studies selection is done by constructing The Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) diagram shown in Figure 1.12
Table 1. Search strategy on used available keywords.
Database
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Search Terms
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Hits
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Selected Articles
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PubMed
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(ACEi OR ARB) AND (Outcome) AND (Hypertension) AND (COVID-19 OR SARS-CoV-2)
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11
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4
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EBSCOhost MEDLINE
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6
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2
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Google Scholar
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449
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3
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ScienceDirect
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33
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0
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Cochrane
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1
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0
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ProQuest
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0
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0
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Springer
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0
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0
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Scopus
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0
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0
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Studies Appraisal
Critical appraisal was extensively conducted on six observational studies via STROBE checklists.11 Based on the appraisal checklists, Zhang et al. turns out to be the most reliable, valid, and applicative studies which is characterized by fully mentioned points in all sections. Moreover, moderate risk of reliability bias due to low methodological descriptions is found in Li et al. and Meng et al. studies, followed by Mehra et al. No significant risk of validity bias based on results checklists has been found among studies. However, low to moderate risk of applicability bias is described as unclear interpretation and generalizability of the results in Meng et al. study. The complete results are qualitatively shown in the following table, shown in table 2.13-18
Table 2. Critical appraisal results of trial studies.11
CHECKLISTS
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Li et al. (2020)
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Meng et al. (2020)
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Zhang et al. (2020)
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Yang et al. (2020)
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Lee et al. (2020)
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Mehra et al. (2020)
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Title and Abstract
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˅
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Introduction
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Background
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Objectives
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Methods
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Study Design
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*
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Setting
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Participants
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*
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-
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-
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Variables
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Data Sources
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Bias
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-
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-
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Study Size
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-
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-
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*
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-
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-
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Quantitative Variables
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-
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-
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*
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Statistical Methods
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*
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*
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Results
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Participants
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Descriptive Data
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*
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Outcome Data
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Main Results
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Other Analyses
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Discussion
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Key Results
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Limitations
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-
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Interpretation
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*
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Generalizability
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*
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*
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*
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Other Information
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Funding
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˅
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˅
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˅
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˅
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˅
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˅
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Information: (˅) complete; (*) unclear; (-) incomplete.
Study Results
Comparative Data Extraction
Based on the result evaluation from six retrospective cohorts involving more than 1,000 patients across China and other countries, majority of the studies were conducted to assess the probable outcomes of RAAS blockers within hypertensive patients infected with COVID-19. Furthermore, those studies were recently held during early outbreak of COVID-19 in mainland China. Data collection of patients’ medical records from respective hospitals mostly began in January 2020; nevertheless, Yang et al. study yields the earliest time of records collection, that was on November 2019 in Wuhan. Additionally, Meng et al. defined hypertension based on its grading in patients infected with COVID-19 to observe any substantial differences in mortality outcomes. Largest sample size was seen in study done by Lee et al but not more than 42 patients as the fewest one in study done by Meng et al. The following table 3 summarizes data extractions from the selected observational studies.
Table 3. Data Extraction of Selected Studies.13-18 |
Study (Year) |
Settings |
Study Design |
Length of study |
No. of patients |
Grading of Hypertension |
Duration of follow-up |
Comorbidities |
Mortality |
Lee et al (2020) |
Centers for Disease Control and Prevention (Korea) |
Retrospective cohort |
Jan-20 until Mar-20 |
N = 8266 |
None |
2 months |
· Diabetes mellitus |
N = 112 |
ACEi/ARB: |
· Cancer |
ACEi/ARB: 50 |
7289 |
· COPD |
· Stroke |
|
· Coronary artery disease |
Non-ACEi/ARB: 62 |
Non-ACEi/ARB: |
· Heart failure |
977 |
· Chronic Renal Disease |
Li et al (2020) |
Central Hospital of Wuhan (China) |
Retrospective cohort |
15 Jan 2020 until 15 Mar 2020 |
N = 362 |
None |
2 months |
· Cerebrovascular disease |
N = 77 |
ACEi/ARB: |
· Cardiovascular disease |
ACEi/ARB: 21 |
115 |
· Diabetes |
· Chronic kidney disease |
Non-ACEi/ARB: 56 |
Non-ACEi/ARB: |
247 |
Mehra et al (2020) |
Multihospital International Registry (Asia, Europe, & North America) |
Retrospective cohort |
20-Dec-19 |
N = 2216 ACEi/ARB: |
None |
N/A |
Heart disease, diabetes mellitus, COPD |
N = 82 |
until |
1326 |
ACEi/ARB: 54 |
15-Mar-20 |
|
|
|
Non-ACEi/ARB: |
Non-ACEi/ARB: 28 |
|
525 |
|
Meng et al (2020) |
Shenzhen Third People’s Hospital (China) |
Retrospective cohort |
11-Jan-20 |
N = 42 |
Grade 2 or Grade 3 hypertension according to ESC |
N/A |
Type 2 Diabetes or coronary heart disease |
N = 1 |
until |
ACEi/ARB: |
ACEi/ARB: 0 |
17 |
23-Feb-20 |
Non-ACEi/ARB: 1 |
Non-ACEi/ARB: |
25 |
Yang et al (2020) |
Hubei Provincial Hospital of Traditional Chinese Medicine (China) |
Retrospective cohort |
1-Nov-19 |
N = 126 |
None |
3 months |
Diabetes or cardiopathy |
N = 13 |
until |
ACEi/ARB: |
ACEi/ARB: 2 |
43 |
31-Dec-19 |
Non-ACEi/ARB: 11 |
Non-ACEi/ARB: |
83 |
Zhang et al (2020) |
Hubei’s Nine Hospital (China) |
Retrospective cohort |
31-Dec-19 |
N = 1128 |
None |
1 month |
Diabetes, cardiac or renal diseases |
N = 99 |
until |
ACEi/ARB: |
ACEi/ARB: 7 |
174 |
7-Mar-20 |
Non-ACEi/ARB: 92 |
Non-ACEi/ARB: |
348 |
Primary and Secondary Outcomes
Patient characteristics between group of ACEi/ARB and non-ACEi/ARB represents distribution of potential confounding factors. Significant difference of mean age between groups was only found in Lee et al study as other studies exhibit similar age distribution between groups. Discrepancy of female-to-total patient ratio between groups suggests risk bias of results, for each gender possesses contrasting effects of ACEi/ARB toward cardiovascular outcome. Besides, five studies involve data source from Asian patients, except the multinational cohort study done by Mehra et al. The consistency of race belonging to every patient due to the fact that the study’s coverage was limited to single country. The overall primary outcome of this review is all-cause mortality of pre-existing hypertensive patients infected with COVID-19; on the other hand, the secondary outcomes would be to evaluate comorbidities in patients that could obscure the survival value of ACEi/ARB. All defined comorbidities were generalized into five main subgroups as they represented the most frequent cause of deaths in VO, comprising of diabetes mellitus, coronary artery disease, congestive heart failure, chronic kidney disease or renal failure, and cerebrovascular disease or stroke. Study conducted by Lee et al. exhibited disparities of comorbidities between observed groups, which is statistically proven by respective p-value under 0.05. This may generate unimportant research results due to its nature of high-risk bias among populations in the groups. Mehra et al. did not specifically summarize the characteristics based on ACEi/ARB grouping; therefore, it would be posed as unimportant research in the overall meta-analysis. The following table 4 qualitatively summarize the data of patient characteristics in all selected studies.
Table 4. Summarized Data of Patients’ Characteristics.13-18 |
Characteristics |
Lee et al. (2020) |
Li et al. (2020) |
Mehra et al. (2020) |
Meng et al. (2020) |
Yang et al. (2020) |
Zhang et al. (2020) |
ACEi/ARB |
Non-ACEi/ARB |
P value |
ACEi/ARB |
Non-ACEi/ARB |
P value |
ACEi/ARB |
Non-ACEi/ARB |
P value |
ACEi/ARB |
Non-ACEi/ARB |
P value |
ACEi/ARB |
Non-ACEi/ARB |
P value |
ACEi/ARB |
Non-ACEi/ARB |
P value |
(n=977) |
(n=7289) |
(n=115) |
(n=247) |
(n=1326) |
(n=525) |
(n=17) |
(n=25) |
(n=43) |
(n=83) |
(n=174) |
(n=348) |
Median Agei (Range) |
64 |
42 |
<0.001* |
65 |
67 |
0.22 |
- |
- |
- |
64 |
65 |
0.91 |
65 |
67 |
0.122 |
64 |
64 |
>0.2 |
(52-77) |
(23-60) |
(57-73) |
(60-75) |
(55-69) |
(55-68) |
(57-72) |
(62-75) |
(56-68) |
(56-69) |
Gender, female (%) |
56.3 |
62.2 |
0.002* |
40.9 |
51 |
0.56 |
- |
- |
- |
47.1 |
40 |
0.9 |
50.6 |
51.2 |
0.952 |
46 |
43.4 |
0.052 |
Race, Asian (%) |
100 |
100 |
>0.99 |
100 |
100 |
>0.99 |
- |
- |
- |
100 |
100 |
>0.99 |
100 |
100 |
>0.99 |
100 |
100 |
>0.99 |
Comorbidities |
Diabetes (%) |
97.3 |
8.55 |
<0.001* |
36.5 |
34.4 |
0.7 |
- |
- |
- |
5.8 |
20 |
<0.001* |
13 |
25 |
0.99 |
23 |
24.7 |
>0.2 |
CAD (%) |
19.65 |
3.81 |
<0.001* |
23.5 |
14.2 |
0.03* |
- |
- |
- |
- |
- |
- |
16.3 |
19.3 |
0.68 |
13.8 |
13.2 |
>0.2 |
Heart Failure (%) |
4.2 |
0.59 |
<0.001* |
4.3 |
2 |
0.36 |
- |
- |
- |
5.8 |
28 |
<0.001* |
- |
- |
- |
CKD (%) |
4.2 |
0.59 |
<0.001* |
11.3 |
8.9 |
0.47 |
- |
- |
- |
- |
- |
- |
0 |
3.6 |
0.207 |
4 |
3.2 |
>0.2 |
Stroke (%) |
12.3 |
1.59 |
<0.001* |
23.5 |
16.6 |
0.12 |
- |
- |
- |
- |
- |
- |
9.3 |
7.2 |
0.683 |
2.3 |
2.3 |
>0.99 |
All-Cause Mortality (n) |
50 |
62 |
0.78 |
21 |
56 |
0.34 |
54 |
28 |
<0.001* |
4 |
12 |
0.062 |
2 |
11 |
0.216 |
7 |
92 |
0.03* |
Hazard Ratioii (95% CI) |
1.07 (0.68 – 1.68) |
0.81 (0.51 – 1.26) |
0.04 (0.03 – 0.06) |
0.4 (0.15 – 1.05) |
0.35 (0.08 – 1.51) |
0.37 (0.17 – 0.81) |
i. Age is calculated as unit of year. Asterisked p-values (*) indicate statistically significant data. Mean difference of age is calculated via independent T-test; other characteristics are calculated via Chi-Square test. |
ii. Hazard ratio <1 shows risk reduction of all-cause mortality in the ACEi/ARB treated group. |
Meta-Analysis
Few detailed studies in the literature concerns the usage of ACEi/ARB that could exacerbate severity of COVID-19 in hypertensive patients. This is reflected by the overall result suggesting reduction of all-cause mortality by ACEi/ARB hospital treatment (HR = 0.54, 95% CI = 0.33 – 0.86). Two studies (Lee et al. and Mehra et al.) were not included in the analysis as their metadata produce significant heterogeneity. Model of random effect was used in the meta-analysis, yielding proportional and conservative quantification of each study result. Heterogeneity indexes (I2 = 31%) and statistically insignificant Cochrane Q test (p = 0.23, Q/df = 0.07) denote moderately homogeneous studies results. Moreover, the p-value of overall effects was 0.01 (z-score = 2.56), supporting validity of the meta-analysis. Taken together, the result indicates confirmed usage of ACEi/ARB associated with reduced outcome mortality in adult COVID-19 hypertensive patients.