| Literature DB >> 32737423 |
Shigeru Shibata1, Hisatomi Arima2, Kei Asayama3, Satoshi Hoshide4, Atsuhiro Ichihara5, Toshihiko Ishimitsu6, Kazuomi Kario4, Takuya Kishi7, Masaki Mogi8, Akira Nishiyama9, Mitsuru Ohishi10, Takayoshi Ohkubo3, Kouichi Tamura11, Masami Tanaka12, Eiichiro Yamamoto13, Koichi Yamamoto14, Hiroshi Itoh12.
Abstract
Coronavirus disease-2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has affected more than seven million people worldwide, contributing to 0.4 million deaths as of June 2020. The fact that the virus uses angiotensin-converting enzyme (ACE)-2 as the cell entry receptor and that hypertension as well as cardiovascular disorders frequently coexist with COVID-19 have generated considerable discussion on the management of patients with hypertension. In addition, the COVID-19 pandemic necessitates the development of and adaptation to a "New Normal" lifestyle, which will have a profound impact not only on communicable diseases but also on noncommunicable diseases, including hypertension. Summarizing what is known and what requires further investigation in this field may help to address the challenges we face. In the present review, we critically evaluate the existing evidence for the epidemiological association between COVID-19 and hypertension. We also summarize the current knowledge regarding the pathophysiology of SARS-CoV-2 infection with an emphasis on ACE2, the cardiovascular system, and the kidney. Finally, we review evidence on the use of antihypertensive medication, namely, ACE inhibitors and angiotensin receptor blockers, in patients with COVID-19.Entities:
Keywords: angiotensin converting enzyme 2; cardiovascular disease; hypertension; severe acute respiratory syndrome coronavirus 2
Mesh:
Substances:
Year: 2020 PMID: 32737423 PMCID: PMC7393334 DOI: 10.1038/s41440-020-0515-0
Source DB: PubMed Journal: Hypertens Res ISSN: 0916-9636 Impact factor: 5.528
Summary of the epidemiological studies concerning the association between hypertension and COVID-19
| Hypertension as a risk factor | |||||||
|---|---|---|---|---|---|---|---|
| First author, country [Reference] | Design | Definition of hypertension | Number and population | Outcome | Univariate analysis | Multivariable-adjusted analysis | Note |
| Zhou, China [ | Retrospective cohort study | N.A. | 191 adult inpatients (>18 years), median age 56.0 years | In-hospital death | Yes (48% vs. 23%; | No (not selected) | 137 patients were discharged and 54 died in hospital. Hypertension was the most common comorbidity ( |
| Grasselli, Italy [ | Retrospective case series | N.A. | 1591 patients admitted to ICU, median age 63 years | COVID-19 | N.A. | N.A. | Hypertension was the most common comorbidity ( |
| Richardson, US [ | Retrospective case series | ICD-10 coding No diagnostic criteria shown | 5700 inpatients, median age 63 years | COVID-19 | N.A. | N.A. | Hypertension was the most common comorbidity ( 553 patients (21%) died in hospital; 134 were 18–65 years and 419 were >65 years. |
Shi, China [ | Retrospective cohort study | N.A. | 487 inpatients, mean age 46 years | Severity on admission | Yes (53.1% vs. 16.7%; | Yes (OR, 2.71; CI,1.32–5.59; | |
Li, China [ | Ambispective cohort study | ICD-10 coding No diagnostic criteria shown | 548 inpatients, median age 60 years | 1) Severity on admission 2) In-hospital death | 1) Yes (38.7% vs. 22.2%; | 1) Yes (OR, 2.01; CI, 1.27–3.17) 2) No(not selected) | As independent predictors for mortality, male, ≥65 years, high white blood cell count, high lactate dehydrogenase value, cardiac injury, hyperglycemia, and high dose corticosteroid were selected. |
Simonnet, France [ | Retrospective cohort study | N.A. | 124 patients admitted to ICU, median age 60 years | Need for IMV | Yes (OR, 2.81; CI, 1.25–6.30; | No (OR, 2.29; CI, 0.89–5.84; | Definition of obesity and severe obesity: BMI > 30 and 35 kg/m2, respectively. The prevalence of obesity and severe obesity was 47.6% ( As BMI increased, the proportion of the patients who received IMV increased (chi-square test for trend, |
Cai, China [ | Retrospective cohort study | N.A. | 383 inpatients, median age: nonsevere patients ( | Progression to severe COVID-19 | Yes (23.08% vs. 12.67%; | Done, but not shown | Definition of obesity: BMI > 28 kg/m2. The prevalence of obesity was 10.7% ( Compared with the patients with BMI 18.5–23.9 kg/m2, obese patients showed 3.40-fold odds (CI, 1.40–2.86; |
Wu, China [ | Retrospective cohort study | N.A. | 201 inpatients with COVID-19 pneumonia, median age 51 years | 1) Development of ARDS 2) Death among patients with ARDS ( | 1) Yes (27.4% vs. 13.7%; 2) Yes(36.4% vs. 17.5%; | No (analysis unclear) | Hypertension raised the risk of ARDS development (HR, 1.82; CI, 1.13–2.95; |
Zheng, China [ | Retrospective cohort study | Consensus statement from the IDF | 66 patients with metabolic associated fatty liver disease, mean age 47 years | Progression to Severe COVID-19 | N.A. | Done, but not shown | Definition of obesity: BMI > 25 kg/m2. The prevalence of obesity was 68% ( The hypertension prevalence between obese and non-obese patients did not differ significantly (35.6% vs. 14.3%, In the logistic regression model, obesity was shown to be a risk factor after adjusting for age, sex, smoking, diabetes, hypertension, and dyslipidemia (OR, 6.32; CI, 1.16–34.54; |
BMI body mass index, CDC Centers for Disease Control and Prevention, CI 95% confidence interval, COVID-19 coronavirus disease 2019, HR hazard ratio, ICU intensive care unit, ICD-10 International Classification of Diseases-version 10, IDF International Diabetes Federation, IMV invasive mechanical ventilation, ARDS acute respiratory distress syndrome, N.A. not available, OR odds ratio
Fig. 1Possible mechanism of SARS-CoV-2-induced vascular complications. ACE2 angiotensin-converting enzyme 2, ADAM17 a disintegrin and metalloprotease 17, AII angiotensin II, A1-7 angiotensin 1-7, ARDS acute respiratory distress syndrome, EC endothelial cell, EpC epithelial cell, IFN interferon, SARS-CoV-2 severe acute respiratory syndrome coronavirus 2, TLRs Toll-like receptors, TMPRSS2 transmembrane serine protease 2, RAS renin-angiotensin system
The influence of inhibitors of the renin-angiotensin-aldosterone system on ACE2
| Drugsa | Route of administration | Doseb | Durationc | Experimental animald | Tissuese | ACE2 | Ref. | ||
|---|---|---|---|---|---|---|---|---|---|
| mRNA | Protein | Activity | |||||||
| Los/(Lis) | Drinking water | 10 mg/kg/d | 12 d | Lewis rats | Heart | ↑ | − | − | 42 |
| Los/(Lis) | Drinking water | 10 mg/kg/d | 2 w | Lewis rats | Kidney | − | − | ↑ | 56 |
| Los/(Lis) | Drinking water | 10 mg/kg/d | 12 d | mRen2 tg rats | Heart/Kidney | ↑ | − | ↑ | 43 |
| Los | Drinking water | 25 mg/kg/d | 3 m | Male new Zealand white rabbits | Aorta | − | ↑ | − | 52 |
| Los | Intravenous | 2.5 mg/kg/h | – | SD rats with acute lung injury induced by LPS | Lung | − | − | ↑ | 60 |
| Los | Oral gavage | 10 or 30 mg/kg/d | – | SD rats exposed to cigarettes for 6 months | Lung | − | ↑ | − | 61 |
| Los / Olm | Subcutaneous | Los: 10 mg/kg/d Olm: 0.1 mg/kg/d | 28 d | Lewis rats with MI induced by coronary artery ligation | Heart | ↑ | − | − | 44 |
| Olm | Subcutaneous | 0.5 mg/kg/d | 4 w | Male stroke-prone SHR | Heart/Kidney | ↑ | − | − | 45 |
| Olm | Drinking water | 10 mg/kg/d | 14 d | SHR | Thoracic aorta Carotid artery | ↑ → | − − | − − | 53 |
| Azi/Olm | Oral gavage | 1 or 5 mg/kg/d | 4 w. | Male hRN/hANG-Tg mice | Heart/Kidney | Azi↑ Olm→ | − − | − − | 46 |
| Tel | Oral | 10 mg/kg/d | 21 d | Lewis rats with EAM | Heart | − | ↑ | − | 47 |
| Tel | Drinking water | 2 mg/kg/d | 2 w | Female C57BLKS/J mice | Kidney (renal vasculature) | − | ↑ | − | 57 |
| Tel | Gastric gavage | 5 or 10 mg/kg/d | 10 w | Male SHR | Aorta | − | ↑ | − | 54 |
| Can/(epl) | Gastric gavage | 10 mg/kg/d | 8 w | Male DS rats | Heart | ↑ | ↑ | − | 48 |
| Epr/(spi) | Intraperitoneal | 5 mg/kg/d | 14 or 28 d | Wistar rats with experimental CHF induced by ACF | Heart | − | ↑ | ↑ | 49 |
| Irb | Drinking water | 50 mg/kg/d | 17 d | C57BL/6 mice | Aorta | ↑ | ↑ | − | 55 |
| Lis/(Los) | Drinking water | 10 mg/kg/d | 12 d | Lewis rats | Heart | ↑ | − | → | 42 |
| Lis/(Los) | Drinking water | 10 mg/kg/d | 2 w | Lewis rats | Kidney | − | − | ↑ | 56 |
| Lis/(Los) | Drinking water | 10 mg/kg/d | 12 d | mRen2 tg rats | Heart/Kidney | ↑ | − | ↑ | 43 |
| Ram | Oral | 1 mg/kg/d | 28 d | SD rats with MI induced by ligation of the left coronary artery | Heart | → | − | → | 50 |
| Ram | Gavage | 1 mg/kg/d | 10 d | Female SD rats with acute kidney injury induced by STNx. | Kidney Plasma | − − | − − | ↑ ↓ | 58 |
| Per | Drinking water | 2 mg/kg/d | 5 w | Male C57bl6 mice with STZ-induced diabetes | Kidney Plasma | ↓ − | ↓ − | ↓ ↓ | 59 |
| Ena | Gavage | 10 mg/kg/d | 8 w | SD rats with MI induced by ligation of the left coronary artery | Heart Plasma | ↑ − | − − | ↑ ↑ | 51 |
| Cap | Intraperitoneal | 50 mg/kg | – | SD rats with acute lung injury induced by LPS | Lung | − | ↑ | − | 62 |
| Spi | Water | 40 mg/kg/d | 4 or 11 d | SD rats with BDL as an obstructive jaundice model | Kidney | − | ↑ | − | 63 |
| Spi | Drinking water | 80 mg/kg/d | 12 w | Wistar rats with MI induced by left coronary artery ligation | Heart | − | ↑ | − | 64 |
| Spi/(Epr) | Intraperitoneal | 15 mg/kg/d | 14 or 28 d | Wistar rats with experimental CHF induced by ACF | Heart | − | ↑ | → | 49 |
| Epl/(Can) | Oral gavage | 100 mg/kg/d | 18 w | Male DS rats | Heart | → | → | − | 48 |
| Epl | Drinking water | 200 mg/kg/d | 2 w | Patients with CHF Balb/C mice | MΦ(h) MΦ(m) Heart(m) Kidney(m) | ↑ − ↑ → | − − − − | ↑ ↑ ↑ → | 65 |
aLos losartan, Lis lisinopril, Olm olmesartan, Azi azilsartan, Tel telmisartan, Can candesartan, Epl eplerenone, Epr eprosartan, Spi spironolactone, Ram ramipril, Per perindopril, Ena enalapril, Cap captopril
bd day, h hour
cd day, w week, m month
dSD Sprague–Dawley, LPS lipopolysaccharide, MI myocardial infarction, SHR spontaneously hypertensive rats, EAM experimental autoimmune myocarditis, hRN/hANG-Tg human renin/ human angiotensinogen transgenic, DS Dahl salt-sensitive, CHF congestive heart failure, ACF aortocaval fistula, STNx subtotal nephrectomy, STZ streptozotocin, BDL bile duct ligation
eMΦ macrophage, h human, m mouse