Literature DB >> 33549450

Hypertension is a clinically important risk factor for critical illness and mortality in COVID-19: A meta-analysis.

Yanbin Du1, Nan Zhou2, Wenting Zha3, Yuan Lv4.   

Abstract

AIMS: As reported, hypertension may play an important role in adverse outcomes of coronavirus disease-2019 (COVID-19), but it still had many confounding factors. The aim of this study was to explore whether hypertension is an independent risk factor for critical COVID-19 and mortality. DATA SYNTHESIS: The Medline, PubMed, Embase, and Web of Science databases were systematically searched until November 2020. Combined odds ratios (ORs) with their 95% confidence interval (CIs) were calculated by using random-effect models, and the effect of covariates was analyzed using the subgroup analysis and meta-regression analysis. A total of 24 observational studies with 99,918 COVID-19 patients were included in the meta-analysis. The proportions of hypertension in critical COVID-19 were 37% (95% CI: 0.27 -0.47) when compared with 18% (95% CI: 0.14 -0.23) of noncritical COVID-19 patients, in those who died were 46% (95%CI: 0.37 -0.55) when compared with 22% (95% CI: 0.16 -0.28) of survivors. Pooled results based on the adjusted OR showed that patients with hypertension had a 1.82-fold higher risk for critical COVID-19 (aOR: 1.82; 95% CI: 1.19 - 2.77; P = 0.005) and a 2.17-fold higher risk for COVID-19 mortality (aOR: 2.17; 95% CI: 1.67 - 2.82; P < 0.001). Subgroup analysis results showed that male patients had a higher risk of developing to the critical condition than female patients (OR: 3.04; 95%CI: 2.06 - 4.49; P < 0.001) and age >60 years was associated with a significantly increased risk of COVID-19 mortality (OR: 3.12; 95% CI: 1.93 - 5.05; P < 0.001). Meta-regression analysis results also showed that age (Coef. = 2.3×10-2, P = 0.048) had a significant influence on the association between hypertension and COVID-19 mortality.
CONCLUSIONS: Evidence from this meta-analysis suggested that hypertension was independently associated with a significantly increased risk of critical COVID-19 and inhospital mortality of COVID-19.
Copyright © 2020 The Italian Diabetes Society, the Italian Society for the Study of Atherosclerosis, the Italian Society of Human Nutrition and the Department of Clinical Medicine and Surgery, Federico II University. Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  COVID-19; Critical illness; Hypertension; Meta-analysis; Mortality

Year:  2020        PMID: 33549450      PMCID: PMC7831720          DOI: 10.1016/j.numecd.2020.12.009

Source DB:  PubMed          Journal:  Nutr Metab Cardiovasc Dis        ISSN: 0939-4753            Impact factor:   4.222


Introduction

The coronavirus disease-2019 (COVID-19) pandemic presents an unprecedented health crisis to the entire world. As of August 30, the disease has spread to more than 200 countries and territories, including the USA, India, Brazil, and Spain; almost 24 million people have been diagnosed with COVID-19 and approximately 836,570 deaths all over the world according to the report of the World Health Organization (WHO)[1,2]. Therefore, understanding the risk factors associated with COVID-19 susceptibility and severity is crucial to disease control. Previous studies have shown that common comorbidities (diabetes or cardiovascular, respiratory, or kidney disease) were significantly associated with the increased risk of adverse outcomes in patients with COVID-19 [[3], [4], [5], [6]]. Increasing numbers of reports have also linked hypertension to critical COVID-19 and death. Wang et al. [7] reported on 138 COVID-19 patients hospitalized in Wuhan, China: 31% had hypertension. Of those requiring intensive care unit (ICU) admission, 58% had hypertension when compared with 22% who did not. Zhou et al. [8] reported on 191 hospitalized patients from Wuhan: 30% had hypertension, with 48% of those who died having hypertension when compared with 23% of survivors. However, Yang et al. [9] and Huang et al. [10] reported that hypertension was not more common in those in China with COVID-19 than the general population. Therefore, great differences were shown in the current studies. In addition, the small sample size of patients in these studies further limits its applicability. More importantly, most conclusions were obtained from univariate estimates only. Several studies have shown that the pooled effects based on the adjusted effect estimates were significantly reduced or even disappeared [[11], [12], [13]]. Therefore, whether hypertension is an independent risk factor for COVID-19 patients is unclear. Therefore, it is urgently required to clarify the association between hypertension and the adverse outcomes of COVID-19 patients. Compared with the previously published meta-analyses, we herein performed a subgroup analysis based on the adjusted effect estimates to explore whether hypertension is an independent risk factor for critical COVID-19 and mortality. In addition, age, sex, and some comorbidities were analyzed by meta-regression analyses.

Methods

This meta-analysis was planned and conducted according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) checklist [14]. We also followed the Meta-analysis Of Observational Studies in Epidemiology (MOOSE) guidelines [15].

Literature search strategy

A systematic search of published articles was conducted in the Medline, PubMed, Embase, Web of Science, and Cochrane Library databases up to November 17, 2020. Following search terms are used: (“coronavirus disease 2019” OR “COVID-19” OR “SARS-CoV-2” OR “coronavirus” OR “nCoV-2019”) AND (“hypertension” OR “risk factor” OR “characteristics” OR “clinical features”) AND (“clinical trial” OR “observational study” OR “cohort” OR “trial” OR “case–control” OR “study”). We also reviewed the reference lists from the retrieved articles and manual search to identify additional relevant studies that may not have been identified by our database searches.

Inclusion and exclusion criteria

Studies that met the following criteria were included in this meta-analysis: 1) observational studies in humans with either cohort or case–control or cross-sectional design; 2) concerning the effects of hypertension on COVID-19; 3) patient was diagnosed as COVID-19 by the laboratory test and age ⩾18 years old; 4) outcomes of COVID-19 infection severity reported; 5) provided data of death, critical or noncritical in patients with hypertension; and 6) publication in English. The exclusion criteria were the following: 1) duplicate studies (including duplicate patients data); 2) reviews, reports, conferences, and commentaries; 3) insufficient data; and 4) sample size <10. In this study, patients with acute respiratory distress syndrome who require life support, mechanical ventilation, or ICU support are considered as critical illness patients. The diagnosis of hypertension was given by the patient's physician prior to the infection with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). These data were collected from patients' documented medical files (e.g., the diagnosed patients with antihypertensive drugs or with a history of hypertension). Two of the authors independently searched all references and any discrepancies were resolved by all authors.

Data extraction

Two authors (Yanbin Du and Nan Zhou) performed data extraction, again any disagreements were discussed and resolved by consensus. For each study, the following information was collected: first author's name, publication year, country, study design, age and sex distribution, sample size, multivariate-adjusted OR with corresponding 95% CI as well as adjusted factors, number of patients with hypertension in critical and noncritical COVID-19 group, number of patients with hypertension in the survivors and nonsurvivors group.

Quality assessment

Quality assessment of eligible studies was performed by two investigators (Wenting Zha and Yuan LV), by using the Newcastle–Ottawa Quality Assessment Scale (NOS) [16]. Each study was assessed on the basis of three broad perspectives: selection (0–4 points), comparability (0–2 points), and exposure (0–3 points) with a score ranging from 0 to 9 points. We assigned scores of 0–3, 4–6, and 7–9 points for low, moderate, and high quality of the studies, respectively.

Statistical analysis

The odds ratio (OR) and 95% confidence intervals (CI) were considered as the common measurement of the association between hypertension and the risk of critical COVID-19 and mortality. Heterogeneity among the studies was estimated using the Q and I2 statistic. For the Q statistics, P < 0.10 indicated statistically significant heterogeneity. In addition, the I2 values of 25%, 25%–50%, 50%–75%, and >75% were classified as indicating no, small, moderate, and significant heterogeneity, respectively. Pooled ORs were obtained using a fixed-effects model, if I2 < 50%; otherwise, a random-effects model was used [17]. In addition, we performed a subgroup analysis using geography (China vs. non-China), age (≤60 years vs. >60 years), sex (the percentage of men > 60% vs. the percentage of men ≤60%), sample size (≤1000 vs. > 1000), and multivariate analysis (Yes vs. No) to explore the effects of covariates. We also performed meta-regression analyses to examine the effect of age, sex, and comorbidities (diabetes and cardiovascular diseases) on the association between hypertension and both critical COVID-19 and mortality. To assess the potential publication bias, we used funnel plots and Egger's linear regression test [18]. Sensitivity analyses were carried out by excluding each study and reanalyzing the data. All statistical analyses were performed with STATA 15.1 (Stata Corp, Texas, USA). Significance was set at a P < 0.05, and all statistical tests were two-sided.

Results

Literature search

An electronic literature search identified 2380 studies concerning the effects of hypertension on COVID-19 patients, 2359 studies of which were excluded based on the series of reasons (first, 329 duplicated articles were excluded, then 2051 articles were screened by title and abstract, leading to the exclusion of 805 irrelevant studies and 1164 reports, reviews or meta-analysis, or letters. Finally, leaving 82 articles for full-text review, where 45 articles do not provide available data index (severity or mortality), 13 articles do not define the critical COVID-19), resulting in a total of 24 studies were included in the meta-analysis. The details of literature search are shown in Fig. 1 .
Figure 1

Flowchart of study procedure.

Flowchart of study procedure.

Study characteristics and quality assessment

The characteristics of included studies are shown in Table 1, Table 2 . A total of 24 observational studies that met the inclusion criteria for our meta-analysis were published in 2020. Thirteen studies (5 reported adjusted OR [10,20,25,27,28]) explored the association between hypertension and critical COVID-19 and 12 studies (9 reported adjusted OR [8,13,30,31,33,34,36,37]) explored the association between hypertension and COVID-19 mortality. Of these studies, except two were in USA [20,30], one in Mexico [25], one in Israel [26], and others all in China. In total, 99,918 COVID-19 patients were included in this meta-analysis, including critical (n = 12,522), noncritical (n = 80,174), death (n = 1697), and survivors (n = 5525). Mean ages of patients ranged from 40 to 69 years. Sample size ranged from 27 to 89,756, the proportion of men ranged from 45% to 85%. The NOS scores of all studies ranged from 4 to 9 points, and 17 studies had a score of ≥6 points.
Table 1

Characteristics of patients included in the severity analysis studies.

Author and Publication YearCountry (city)Study DesignAge (years)Men (%)Sample sizeCritical patients
non-Critical patients
Multivariate analysisa
N (%)Hypertension (%)M(%)Hypertension (%)
Lv et al., 2020 [19]China, WuhanCohort62 (23–90)49.44%354155 (43.8%)33 (21.29%)199 (56.2%)23 (11.6%)No
Wang et al., 2020 [7]China, WuhanCohort56 (42–68)54.3%13836 (26.1%)21 (58.3%)102 (73.9%)22 (21.6%)No
Kalligeros et al., 2020 [20]USA, Rhode IslandCohort60 (50–72)61.1%10344 (42.7%)31 (70.4%)59 (57.3%)35 (59.3%)Yes
Chen et al. 2020 [21]China, ZhejiangCohort45.3 ± 13.653.5%14543 (29.6%)9 (20.9%)102 (70.4%)13 (12.7%)No
Huang et al. 2020 [10]China, WuhanCohort49 (41–58)85%4113 (31.7%)2 (15%)28 (68.3%)4 (14%)Yes
Qin et al. 2020 [22]China, WuhanCohort58 (22–95)52%452286 (63.3%)105 (36.7%)166 (36.7%)30 (18.1%)No
Shi et al. 2020 [23]China, WuhanCohort46 ± 1753.2%48749 (10.1%)26 (53.1%)438 (89.9%)73 (16.7%)No
Xu et al., 2020 [24]ChinaCohort60.5 ± 17.269%70355 (7.8%)30 (54.5%)648 (92.2%)89 (13.7)No
Giannouchos et al., 2020 [25]MexicoCohort44 (18–65)67%89,75611,706 (13%)4740 (40.5%)78,050 (87%)14,049 (18%)Yes
Edward et al. 2020 [26]IsraelCohort52 ± 2065%16226 (16%)13 (50%)136 (84%)36 (26.5%)No
Liu et al. 2020 [27]China, WuhanCohort66 (51–70)63.6%7811 (14.1%)2 (18.2%)67 (85.9%)6 (9%)Yes
Wan et al. 2020 [28]China, ChongqingCohort56 (52–73)52.5%13540 (29.6)4 (10%)95 (70.4%)9 (9.4%)Yes
Zhang et al. 2020 [29]China, WuhanCohort57 (25–87)56.9%14058 (41.4%)22 (37.9%)82 (58.6%)20 (24.4%)No

N: The total number of critical patients; M: The total number of non-critical patients.

The multivariate analysis was adjusted for age, sex, history of cancer, smoking, diabetes cardiovascular diseases, body mass index (BMI), chronic kidney disease (CKD), and other chronic diseases.

Table 2

Characteristics of patients included in the mortality analysis studies.

Author and Publication YearCountry (city)Study DesignAge (years)Men (%)Sample sizenon-Survivors
Survivors
Multivariate analysisa
N (%)Hypertension (%)M(%)Hypertension (%)
Klang et al., 2020 [30]USA, New YorkCohort40 (34–46)69.4%57260 (10.5%)10 (16.7%)512 (89.5%)25 (4.9%)Yes
Klang et al., 2020 [30]USA, New YorkCohort68 (60–77)54%28341076 (38.0%)502 (46.7%)1758 (62%)404 (22.9%)Yes
Zhou et al.,2020 [8]China, WuhanCohort56 (46–67)62%19154 (28.3%)26 (48%)137 (71.7%)32 (23%)Yes
Huang et al.,2020 [31]China, WuhanCohort62 (40–70)54.3%310113 (36.5%)28 (24.8%)197 (63.5%)30 (15.2%)Yes
Yuan et al., 2020 [32]China, WuhanCohort60 (47–69)45%2710 (37%)5 (50%)17 (63%)0 (0%)No
Xu et al.,2020 [26]ChinaCohort64.7 ± 13.473%70333 (6.3%)17 (51.5%)659 (93.7%)93 (14.1%)No
Fu et al.,2020 [33]China, WuhanCase-cohort55 (40–75)49.3%20034 (17%)22 (64.7%)166 (83%)79 (47.6%)Yes
Sun et al., 2020 [34]China, WuhanCohort72 (66–78)67.8%244121 (49.6%)76 (63.3%)123 (50.4%)42 (34.1%)Yes
Du et al., 2020 [35]China, WuhanCohort57.6 ± 13.754.2%17921 (11.7%)13 (61.9%)158 (88.3%)45 (28.5%)No
Shi et al. 2020 [36]China, WuhanCohort63 (50–72)56.5%67162 (9.2%)37 (59.7%)609 (81.8%)162 (26.6%)Yes
Li et al. 2020 [37]China, WuhanCross-sectional68 (58–79)67.5%100440 (4%)20 (50%)964 (96%)215 (22.3%)Yes
Wang et al. 2020 [13]China, WuhanCohort51 (36–65)57%10719 (17.8%)4 (21%)88 (82.2%)9 (10.2%)Yes

N: The total number of non-survivors; M: The total number of survivors.

The multivariate analysis was adjusted for age, sex, history of cancer, smoking, diabetes cardiovascular diseases, body mass index (BMI), chronic kidney disease (CKD), and other chronic diseases.

Characteristics of patients included in the severity analysis studies. N: The total number of critical patients; M: The total number of non-critical patients. The multivariate analysis was adjusted for age, sex, history of cancer, smoking, diabetes cardiovascular diseases, body mass index (BMI), chronic kidney disease (CKD), and other chronic diseases. Characteristics of patients included in the mortality analysis studies. N: The total number of non-survivors; M: The total number of survivors. The multivariate analysis was adjusted for age, sex, history of cancer, smoking, diabetes cardiovascular diseases, body mass index (BMI), chronic kidney disease (CKD), and other chronic diseases.

The percentage of hypertension in COVID-19 patients

The random-effects meta-analysis revealed that the percentage of hypertension in critical COVID-19 patients is 37% (95% CI: 0.27 −0.47 and P < 0.001) when compared with 18% (95% CI: 0.14 −0.23 and P < 0.001) in noncritical COVID-19 patients. In addition, the percentage of hypertension in nonsurvivors is 46% (95% CI: 0.37 −0.55 and P < 0.001) when compared with 22% (95% CI: 0.16 −0.28 and P < 0.001) in survivors (Supplementary materials, Figs. 1–4).

Effect of hypertension on critical COVID-19 patients

The effect of hypertension on critical COVID-19 patients was explored in 13 studies (critical = 12,522 and noncritical = 80,174). Heterogeneity test results found moderate heterogeneity in these studies (Q = 26.16, P = 0.01, and I2 = 54.1%). In addition, a random-effects model was applied, the summary OR for 13 studies showed that COVID-19 patients with hypertension were associated with a significantly increased risk (OR: 2.92; 95% CI: 2.26 − 3.77; and P < 0.001) of developing the critical illness. In addition, pooled results based on the adjusted OR showed that hypertension is an independent risk factor for critical COVID-19 (aOR: 1.82; 95% CI: 1.19 − 2.77; and P = 0.005) (Fig. 2 ).
Figure 2

Effects of hypertension on critical COVID-19 patients.

Effects of hypertension on critical COVID-19 patients. Subgroup analyses indicated that geography, ages, and sample sizes had no significant difference in the effect of hypertension on critical COVID-19. However, male patients had a slightly higher risk of critical COVID-19 than female patients (the percentage of men > 60%; OR: 3.04; 95% CI: 2.06 − 4.49; the percentage of men ≤ 60%: OR: 2.68; and 95% CI: 1.72 − 4.17) (Table 3 ). Meta-regression analysis results showed that age (P = 0.87) and sex (P = 0.74) had no significant influence on the association between hypertension and critical COVID-19 (Fig. 4). In addition, some comorbidities (diabetes: P = 0.46, cardiovascular diseases: P = 0.52) did not appear to exert a significant effect on the association between hypertension and critical COVID-19.
Table 3

Subgroups analysis of association between hypertension and Critical COVID-19 and mortality.

COVID-19SubgroupsStudy numberOR (95%CI)Heterogeneity test
QP-valueI2 (%)
Severity
Overall132.92 (2.26–3.77)26.16<0.00154.1%
Geography
 China102.91 (1.94–4.38)23.980.00462.3%
 Non-china32.94 (2.34–3.70)2.340.31114.4%
Age
 ≤60 years102.92 (2.26–3.75)12.740.1237.2%
 >60 years32.90 (1.25–6.74)13.510.00473.1%
The percentage of men
 ≤60%62.68 (1.72–4.17)12.450.05351.8%
 >60%73.04 (2.06–4.49)13.470.001962.9%
Sample size
 ≤1000112.78 (1.95–3.97)31.210.00158.1%
 >100023.1 (2.97–3.23)4.510.03477.8%
Multivariate analysis
 Yes51.82 (1.19–2.77)2.030.730
 No
8
3.46 (2.57–4.67)
17.94
0.012
61%
MortalityOverall122.59 (1.91–3.51)33.59<0.00167.3%
Age
 ≤60 years52.06 (1.56–2.73)4.890.4290
 >60 years73.12 (1.93–5.05)30.170.02159.8%
The percentage of men
 ≤60%72.49 (1.64–3.79)10.110.07250.5%
 >60%52.76 (1.82–4.18)17.100.00964.9%
Multivariate analysis
 Yes92.17 (1.67–2.82)17.090.02953.2%
 No35.82 (3.34–10.14)1.410.4940

Abbreviations: OR (95%CI): odds ratio and 95% confidence intervals.

Figure 4

Random-effects meta-regression analysis of the effect of age and sex on association between hypertension and critical COVID-19 (a,b) and mortality (c,d).

Subgroups analysis of association between hypertension and Critical COVID-19 and mortality. Abbreviations: OR (95%CI): odds ratio and 95% confidence intervals.

Effect of hypertension on COVID-19 mortality

The effect of hypertension on COVID-19 mortality was explored in 12 studies (death = 1687 and survivors = 5525). Combined results through the random-effects model revealed that hypertension significantly increased COVID-19 mortality (OR: 2.59; 95% CI: 1.91–3.51; and P < 0.001) with moderate heterogeneity in these studies (Q = 33.59, P < 0.001, and I2 = 67.3%). Pooled results based on the adjusted OR showed that hypertension was an independent risk factor for COVID-19 mortality (aOR: 2.17; 95% CI: 1.67 − 2.82; and P < 0.001) (Fig. 3 ).
Figure 3

Effects of hypertension on COVID-19 mortality.

Effects of hypertension on COVID-19 mortality. Random-effects meta-regression analysis of the effect of age and sex on association between hypertension and critical COVID-19 (a,b) and mortality (c,d). Subgroup analyses indicated that patients with hypertension and age >60 years (OR: 3.12 and 95% CI: 1.93 − 5.05) had a significantly higher COVID-19 mortality than age <60 years (OR: 2.06 and 95% CI: 1.56–2.73) (Table 3). Meta-regression analysis results also showed a significant influence of increasing age on the association between hypertension and mortality of COVID-19 . However, sex (P = 0.89), diabetes (P = 0.354), and cardiovascular diseases (P = 0.145) did not exert a significant effect on the association between hypertension and COVID-19 mortality.

Sensitivity analysis and publication bias

Sensitivity analysis results showed that removing each study did not significantly alter the overall effect of hypertension on critical COVID-19 (OR altered between 1.79 and 4.23) and COVID-19 mortality (OR altered between 1.77 and 3.87) (Supplementary materials, Figs. 5–6). No publication bias was detected in the current meta-analysis, although slight asymmetries were observed in the funnel plots (Fig. 5 ); Egger's linear regression test was not statistically significant (severity: P = 0.164 and mortality: P = 0.191).
Figure 5

Funnel plots of detecting publication bias in the studies reporting the effects of hypertension on critical COVID-19 and mortality.

Funnel plots of detecting publication bias in the studies reporting the effects of hypertension on critical COVID-19 and mortality.

Discussion

Coronavirus is an enveloped, nonsegmented, single-stranded RNA virus. At present, six human coronaviruses have been identified [38]. Moreover, the SARS-CoV-2, which isolated from the lower respiratory tract of pneumonia patients with unknown causes, is identified as the seventh human coronaviruses. According to previous research on SARS-CoV-2, the presence of comorbidities increased the mortality risk, with cardiovascular diseases and diabetes being the most important components [39]. Hypertension is the leading risk factor for premature death and disability worldwide, 31.2% of adults were estimated to have hypertension worldwide [40]. Therefore, considering the virtually unstoppable current trajectory of SARS-CoV-2, together with the high prevalence of hypertension, we carried out this meta-analysis to explore the effect of hypertension on COVID-19 patients. The results revealed that COVID-19 patients with hypertension were associated with a significantly increased 2.6-fold risk of developing into the critical or mortal condition. Comparing the general population, the incidence of hypertension in the critical COVID-19 group (37%) and death group (46%) are obviously much higher. However, we did not find that people with hypertension are more susceptible to 2019-nCoV infection. The prevalence of hypertension (21.53%) in people infected with the virus is about the same as in the general population, even slightly lower. To eliminate the effect of confounding factors on the association between hypertension and COVID-19. We conducted a meta-analysis based on the adjusted OR, although pooled ORs were significantly reduced in the multivariate analysis (aOR: 1.82; 95% CI: 1.19 − 2.77) when compared with that in the univariate analysis (OR:3.46 and 95% CI: 2.56–4.66), the results also showed that hypertension was an independent risk factor for critical COVID-19. Similarly, the results showed that hypertension was an independent risk factor for COVID-19 mortality (multivariate analysis: aOR, 2.17 and 95% CI, 1.67 − 2.82; univariate analysis: OR, 5.82 and 95% CI, 3.34 − 10.14). Meta-regression analysis results also showed that diabetes and cardiovascular diseases did not exert a significant effect on the association between hypertension and COVID-19. Our study found that male patients (66.2%) are more susceptible to develop into the critical or mortal condition than female patients (33.8%), possibly because of the protection of X chromosome and sex hormones, which play an important role in innate and adaptive immunity [41]. At the same time, men tend to be associated with bad lifestyle habits such as smoking and underlying diseases, which are reported to be associated with an increased risk of critical COVID-19 [[42], [43]]. In addition, the subgroup analysis and meta-regression analysis results indicated that age had a significant effect on the association between hypertension and mortality of COVID-19 patients. Older patients (age >60 years) with hypertension had a 3.12-fold higher risk of COVID-19 death. This may be because the elderly weight and muscle mass start to decline, and cause immune senescence. In addition, older people are more prone to develop diabetes, hypertension, and cardiovascular diseases, which are reported to be associated with an increased risk of critical COVID-19. Our study also found that COVID-19 patients with hypertension in other countries had a higher risk of developing into the critical or mortal condition than in China. There may be two reasons: (1) The prevalence of hypertension in China (23.2%) [44] is lower than the worldwide level (31.2%) [40]. (2) China has taken effective measures to control and treat COVID-19, avoiding disease progression. For example, isolating the infected patients and close contacts, wearing masks when traveling. The underlying mechanism of effect of hypertension on COVID-19 is unclear now, but several mechanisms have been discussed. SARS-CoV-2 attacks the alveolar epithelial cells through angiotensin-converting enzyme 2 (ACE2) [45]. Some interesting studies have shown that the administration of some antihypertensive drugs such as ACE inhibitors (ACEis) [46] and angiotensin receptor blockers [47] may be associated with enhanced ACE2 expression at the cell surface, thus ultimately supplying SARS-CoV-2 with a larger number of “anchors” for infecting cells. However, it cannot be excluded that hypertensive patients undergoing renin-angiotensin-aldosterone system inhibition, particularly those taking ACEis, may be more susceptible to SARS-CoV-2 infection, which would ultimately translate into a higher risk of developing into adverse COVID-19 consequences [48]. On the other hand, others have argued that hypertensives may experience a decreased ACE2 expression, which when bound by SARS-CoV-2 attenuates residual ACE2, leading to elevated angiotensin II levels driving the development of COVID-19 [49]. Moreover, evidence convincingly attest that both pulmonary and systemic hypertension are risk factors for unfavorable progression in patients with pneumonia [50]. Therefore, it is plausible that the coexistence of hypertension and SARS-CoV-2 infection would interplay to synergistically increase the risk of unfavorable prognosis as compared to normotensive COVID-19 patients. This meta-analysis has several obvious strengths. First, this is the latest study that comprehensively assessed the effect of hypertension on COVID-19 patients, and the results confirmed that hypertension is an independent risk factor for critical COVID-19 and mortality. Secondly, our findings depended on a much larger sample size involving a total of 99,918 individuals from all over the world. Third, we performed a multivariate subgroup and meta-regression analyses to fully explore the potential effect of confounding factors on associations between hypertension and COVID-19. Meanwhile, several potential limitations of our study deserve mention. First, the included studies reported the adjusted effect estimates, but the factors adjusted in each study were not entirely consistent. Secondly, the stage of hypertension and whether it is controlled or poorly controlled are unknown. Third, the majority of patients included in the meta-analysis were of China, and it was not possible to test for ethnic-specific differences in the risk of critical COVID-19 and COVID-19 linked death, because of the limited studies in non-China individuals. Therefore, further studies, particularly in Europe and America populations, are needed to confirm these findings, and future mechanistic studies are also required to better understand the link between hypertension and the risk of severe disease and inhospital mortality associated with COVID-19.

Conclusions

In conclusion, results from this meta-analysis indicate that hypertension is a clinically important risk factor for the adverse outcomes of patients with COVID-19. Therefore, COVID-19 patients with hypertension should be paid more attention to in hospitals, particularly those male patients or those older than 60 years. In addition, our findings also highlighted that more, not less, must be done to tackle and prevent hypertension in our societies for the prevention of chronic disease and greater adverse reactions to viral pandemics.

Financial Support

This work was supported by the (No: JG2018B041), (No: 2020JJ4059) and (No: kq2001025).

Author contributions

Yanbin Du conceived the idea, performed the statistical analysis, and drafted this meta-analysis. Wenting Zha and Nan Zhou conducted the systematic search, screened the articles, and extracted the data. Yuan Lv and Wenting Zha are the guarantors of the overall content. All authors revised and approved the final manuscript.

Ethics of human subject participation

Not applicable.

Declaration of competing interest

The authors declare that there are no conflicts of interest.
  47 in total

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Journal:  Circulation       Date:  2018-02-15       Impact factor: 29.690

3.  Clinical Characterization of 162 COVID-19 patients in Israel: Preliminary Report from a Large Tertiary Center.

Authors:  Edward Itelman; Yishay Wasserstrum; Amitai Segev; Chen Avaky; Liat Negru; Dor Cohen; Natia Turpashvili; Sapir Anani; Eyal Zilber; Nir Lasman; Ahlam Athamna; Omer Segal; Tom Halevy; Yehuda Sabiner; Yair Donin; Lital Abraham; Elisheva Berdugo; Adi Zarka; Dahlia Greidinger; Muhamad Agbaria; Noor Kitany; Eldad Katorza; Gilat Shenhav-Saltzman; Gad Segal
Journal:  Isr Med Assoc J       Date:  2020-05       Impact factor: 0.892

4.  Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China.

Authors:  Chaolin Huang; Yeming Wang; Xingwang Li; Lili Ren; Jianping Zhao; Yi Hu; Li Zhang; Guohui Fan; Jiuyang Xu; Xiaoying Gu; Zhenshun Cheng; Ting Yu; Jiaan Xia; Yuan Wei; Wenjuan Wu; Xuelei Xie; Wen Yin; Hui Li; Min Liu; Yan Xiao; Hong Gao; Li Guo; Jungang Xie; Guangfa Wang; Rongmeng Jiang; Zhancheng Gao; Qi Jin; Jianwei Wang; Bin Cao
Journal:  Lancet       Date:  2020-01-24       Impact factor: 79.321

5.  Clinical course and outcome of 107 patients infected with the novel coronavirus, SARS-CoV-2, discharged from two hospitals in Wuhan, China.

Authors:  Dawei Wang; Yimei Yin; Chang Hu; Xing Liu; Xingguo Zhang; Shuliang Zhou; Mingzhi Jian; Haibo Xu; John Prowle; Bo Hu; Yirong Li; Zhiyong Peng
Journal:  Crit Care       Date:  2020-04-30       Impact factor: 9.097

6.  Clinical characteristics of 145 patients with corona virus disease 2019 (COVID-19) in Taizhou, Zhejiang, China.

Authors:  Qingqing Chen; Zhencang Zheng; Chao Zhang; Xijiang Zhang; Huijuan Wu; Jingdong Wang; Shuwei Wang; Cheng Zheng
Journal:  Infection       Date:  2020-04-28       Impact factor: 3.553

Review 7.  Prevalence and impact of cardiovascular metabolic diseases on COVID-19 in China.

Authors:  Bo Li; Jing Yang; Faming Zhao; Lili Zhi; Xiqian Wang; Lin Liu; Zhaohui Bi; Yunhe Zhao
Journal:  Clin Res Cardiol       Date:  2020-03-11       Impact factor: 6.138

8.  SARS-CoV2: should inhibitors of the renin-angiotensin system be withdrawn in patients with COVID-19?

Authors:  Gabriela M Kuster; Otmar Pfister; Thilo Burkard; Qian Zhou; Raphael Twerenbold; Philip Haaf; Andreas F Widmer; Stefan Osswald
Journal:  Eur Heart J       Date:  2020-05-14       Impact factor: 29.983

9.  Characteristics and clinical significance of myocardial injury in patients with severe coronavirus disease 2019.

Authors:  Shaobo Shi; Mu Qin; Yuli Cai; Tao Liu; Bo Shen; Fan Yang; Sheng Cao; Xu Liu; Yaozu Xiang; Qinyan Zhao; He Huang; Bo Yang; Congxin Huang
Journal:  Eur Heart J       Date:  2020-06-07       Impact factor: 29.983

10.  Host susceptibility to severe COVID-19 and establishment of a host risk score: findings of 487 cases outside Wuhan.

Authors:  Yu Shi; Xia Yu; Hong Zhao; Hao Wang; Ruihong Zhao; Jifang Sheng
Journal:  Crit Care       Date:  2020-03-18       Impact factor: 9.097

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  29 in total

1.  Predicting COVID-19 severity using major risk factors and received vaccines.

Authors:  Ariel Israel; Alejandro A Schäffer; Eugene Merzon; Ilan Green; Eli Magen; Avivit Golan-Cohen; Shlomo Vinker; Eytan Ruppin
Journal:  medRxiv       Date:  2022-01-03

2.  Barthel's Index: A Better Predictor for COVID-19 Mortality Than Comorbidities.

Authors:  João Cordeiro da Costa; Maria Conceição Manso; Susana Gregório; Márcia Leite; João Moreira Pinto
Journal:  Tuberc Respir Dis (Seoul)       Date:  2022-06-23

3.  A Calculator for COVID-19 Severity Prediction Based on Patient Risk Factors and Number of Vaccines Received.

Authors:  Ariel Israel; Alejandro A Schäffer; Eugene Merzon; Ilan Green; Eli Magen; Avivit Golan-Cohen; Shlomo Vinker; Eytan Ruppin
Journal:  Microorganisms       Date:  2022-06-16

4.  Hypertension as an Independent Risk Factor for In-Patient Mortality in Hospitalized COVID-19 Patients: A Multicenter Study.

Authors:  Hasan Mirza; Muhammad Atif Masood Noori; Hafsa Akbar; Hardik Fichadiya; Ikwinder Preet Kaur; Sonali Sachdeva; Jagpreet Grewal; Muhammad Zain Khakwani; Howard Levitt; Wang Chang; Najam Wasty; Chandler Patton; Ajay Shah; Priya Angi; Mohsin S Mughal
Journal:  Cureus       Date:  2022-07-11

5.  Inflammation, underweight, malignancy and a marked catabolic state as predictors for worse outcomes in COVID-19 patients with moderate-to-severe disease admitted to Internal Medicine Unit.

Authors:  Valeria Guglielmi; Luca Colangeli; Valeria Scipione; Simona Ballacci; Martina Di Stefano; Lauren Hauser; Michela Colella Bisogno; Monica D'Adamo; Emanuela Medda; Paolo Sbraccia
Journal:  PLoS One       Date:  2022-05-18       Impact factor: 3.752

6.  Risk Perception and Knowledge, Attitudes, and Practices Against COVID-19 in a Hypertensive Population From a Semi-Urban City of Ecuador.

Authors:  Teresa Aumala; Maria Cardenas; Daniel Vergara; Monserrate Vasconez; Ivan Palacios; Enrique Terán
Journal:  Front Public Health       Date:  2021-12-14

7.  Mortality Predictive Value of the C2HEST Score in Elderly Subjects with COVID-19-A Subanalysis of the COLOS Study.

Authors:  Piotr Rola; Adrian Doroszko; Małgorzata Trocha; Katarzyna Giniewicz; Krzysztof Kujawa; Marek Skarupski; Jakub Gawryś; Tomasz Matys; Ewa Szahidewicz-Krupska; Damian Gajecki; Barbara Adamik; Krzysztof Kaliszewski; Katarzyna Kilis-Pstrusinska; Krzysztof Letachowicz; Agnieszka Matera-Witkiewicz; Michał Pomorski; Marcin Protasiewicz; Konrad Majchrzak; Janusz Sokołowski; Ewa Anita Jankowska; Katarzyna Madziarska
Journal:  J Clin Med       Date:  2022-02-14       Impact factor: 4.241

8.  Hypertension and COVID-19: Updates from the era of vaccines and variants.

Authors:  Sowmya Swamy; Christian A Koch; Fady Hannah-Shmouni; Ernesto L Schiffrin; Joanna Klubo-Gwiezdzinska; Sriram Gubbi
Journal:  J Clin Transl Endocrinol       Date:  2021-12-06

9.  The effect of renin-angiotensin-aldosterone system inhibitors on organ-specific ace2 expression in zebrafish and its implications for COVID-19.

Authors:  Gha-Hyun J Kim; Adam Melgoza; Fei Jiang; Su Guo
Journal:  Sci Rep       Date:  2021-12-08       Impact factor: 4.379

Review 10.  Metabolic Syndrome and Its Components in Patients with COVID-19: Severe Acute Respiratory Syndrome (SARS) and Mortality. A Systematic Review and Meta-Analysis.

Authors:  Sergio Rico-Martín; Julián F Calderón-García; Belinda Basilio-Fernández; María Zoraida Clavijo-Chamorro; Juan F Sánchez Muñoz-Torrero
Journal:  J Cardiovasc Dev Dis       Date:  2021-11-25
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