| Literature DB >> 33549450 |
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.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
Figure 1Flowchart of study procedure.
Characteristics of patients included in the severity analysis studies.
| Author and Publication Year | Country (city) | Study Design | Age (years) | Men (%) | Sample size | Critical patients | non-Critical patients | Multivariate analysis | ||
|---|---|---|---|---|---|---|---|---|---|---|
| N (%) | Hypertension (%) | M(%) | Hypertension (%) | |||||||
| Lv et al., 2020 [ | China, Wuhan | Cohort | 62 (23–90) | 49.44% | 354 | 155 (43.8%) | 33 (21.29%) | 199 (56.2%) | 23 (11.6%) | No |
| Wang et al., 2020 [ | China, Wuhan | Cohort | 56 (42–68) | 54.3% | 138 | 36 (26.1%) | 21 (58.3%) | 102 (73.9%) | 22 (21.6%) | No |
| Kalligeros et al., 2020 [ | USA, Rhode Island | Cohort | 60 (50–72) | 61.1% | 103 | 44 (42.7%) | 31 (70.4%) | 59 (57.3%) | 35 (59.3%) | Yes |
| Chen et al. 2020 [ | China, Zhejiang | Cohort | 45.3 ± 13.6 | 53.5% | 145 | 43 (29.6%) | 9 (20.9%) | 102 (70.4%) | 13 (12.7%) | No |
| Huang et al. 2020 [ | China, Wuhan | Cohort | 49 (41–58) | 85% | 41 | 13 (31.7%) | 2 (15%) | 28 (68.3%) | 4 (14%) | Yes |
| Qin et al. 2020 [ | China, Wuhan | Cohort | 58 (22–95) | 52% | 452 | 286 (63.3%) | 105 (36.7%) | 166 (36.7%) | 30 (18.1%) | No |
| Shi et al. 2020 [ | China, Wuhan | Cohort | 46 ± 17 | 53.2% | 487 | 49 (10.1%) | 26 (53.1%) | 438 (89.9%) | 73 (16.7%) | No |
| Xu et al., 2020 [ | China | Cohort | 60.5 ± 17.2 | 69% | 703 | 55 (7.8%) | 30 (54.5%) | 648 (92.2%) | 89 (13.7) | No |
| Giannouchos et al., 2020 [ | Mexico | Cohort | 44 (18–65) | 67% | 89,756 | 11,706 (13%) | 4740 (40.5%) | 78,050 (87%) | 14,049 (18%) | Yes |
| Edward et al. 2020 [ | Israel | Cohort | 52 ± 20 | 65% | 162 | 26 (16%) | 13 (50%) | 136 (84%) | 36 (26.5%) | No |
| Liu et al. 2020 [ | China, Wuhan | Cohort | 66 (51–70) | 63.6% | 78 | 11 (14.1%) | 2 (18.2%) | 67 (85.9%) | 6 (9%) | Yes |
| Wan et al. 2020 [ | China, Chongqing | Cohort | 56 (52–73) | 52.5% | 135 | 40 (29.6) | 4 (10%) | 95 (70.4%) | 9 (9.4%) | Yes |
| Zhang et al. 2020 [ | China, Wuhan | Cohort | 57 (25–87) | 56.9% | 140 | 58 (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.
Characteristics of patients included in the mortality analysis studies.
| Author and Publication Year | Country (city) | Study Design | Age (years) | Men (%) | Sample size | non-Survivors | Survivors | Multivariate analysis | ||
|---|---|---|---|---|---|---|---|---|---|---|
| N (%) | Hypertension (%) | M(%) | Hypertension (%) | |||||||
| Klang et al., 2020 [ | USA, New York | Cohort | 40 (34–46) | 69.4% | 572 | 60 (10.5%) | 10 (16.7%) | 512 (89.5%) | 25 (4.9%) | Yes |
| Klang et al., 2020 [ | USA, New York | Cohort | 68 (60–77) | 54% | 2834 | 1076 (38.0%) | 502 (46.7%) | 1758 (62%) | 404 (22.9%) | Yes |
| Zhou et al.,2020 [ | China, Wuhan | Cohort | 56 (46–67) | 62% | 191 | 54 (28.3%) | 26 (48%) | 137 (71.7%) | 32 (23%) | Yes |
| Huang et al.,2020 [ | China, Wuhan | Cohort | 62 (40–70) | 54.3% | 310 | 113 (36.5%) | 28 (24.8%) | 197 (63.5%) | 30 (15.2%) | Yes |
| Yuan et al., 2020 [ | China, Wuhan | Cohort | 60 (47–69) | 45% | 27 | 10 (37%) | 5 (50%) | 17 (63%) | 0 (0%) | No |
| Xu et al.,2020 [ | China | Cohort | 64.7 ± 13.4 | 73% | 703 | 33 (6.3%) | 17 (51.5%) | 659 (93.7%) | 93 (14.1%) | No |
| Fu et al.,2020 [ | China, Wuhan | Case-cohort | 55 (40–75) | 49.3% | 200 | 34 (17%) | 22 (64.7%) | 166 (83%) | 79 (47.6%) | Yes |
| Sun et al., 2020 [ | China, Wuhan | Cohort | 72 (66–78) | 67.8% | 244 | 121 (49.6%) | 76 (63.3%) | 123 (50.4%) | 42 (34.1%) | Yes |
| Du et al., 2020 [ | China, Wuhan | Cohort | 57.6 ± 13.7 | 54.2% | 179 | 21 (11.7%) | 13 (61.9%) | 158 (88.3%) | 45 (28.5%) | No |
| Shi et al. 2020 [ | China, Wuhan | Cohort | 63 (50–72) | 56.5% | 671 | 62 (9.2%) | 37 (59.7%) | 609 (81.8%) | 162 (26.6%) | Yes |
| Li et al. 2020 [ | China, Wuhan | Cross-sectional | 68 (58–79) | 67.5% | 1004 | 40 (4%) | 20 (50%) | 964 (96%) | 215 (22.3%) | Yes |
| Wang et al. 2020 [ | China, Wuhan | Cohort | 51 (36–65) | 57% | 107 | 19 (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.
Figure 2Effects of hypertension on critical COVID-19 patients.
Subgroups analysis of association between hypertension and Critical COVID-19 and mortality.
| COVID-19 | Subgroups | Study number | OR (95%CI) | Heterogeneity test | ||
|---|---|---|---|---|---|---|
| Q | P-value | I2 (%) | ||||
| Severity | Overall | 13 | 2.92 (2.26–3.77) | 26.16 | <0.001 | 54.1% |
| Geography | ||||||
| China | 10 | 2.91 (1.94–4.38) | 23.98 | 0.004 | 62.3% | |
| Non-china | 3 | 2.94 (2.34–3.70) | 2.34 | 0.311 | 14.4% | |
| Age | ||||||
| ≤60 years | 10 | 2.92 (2.26–3.75) | 12.74 | 0.12 | 37.2% | |
| >60 years | 3 | 2.90 (1.25–6.74) | 13.51 | 0.004 | 73.1% | |
| The percentage of men | ||||||
| ≤60% | 6 | 2.68 (1.72–4.17) | 12.45 | 0.053 | 51.8% | |
| >60% | 7 | 3.04 (2.06–4.49) | 13.47 | 0.0019 | 62.9% | |
| Sample size | ||||||
| ≤1000 | 11 | 2.78 (1.95–3.97) | 31.21 | 0.001 | 58.1% | |
| >1000 | 2 | 3.1 (2.97–3.23) | 4.51 | 0.034 | 77.8% | |
| Multivariate analysis | ||||||
| Yes | 5 | 1.82 (1.19–2.77) | 2.03 | 0.73 | 0 | |
| No | 8 | 3.46 (2.57–4.67) | 17.94 | 0.012 | 61% | |
| Mortality | Overall | 12 | 2.59 (1.91–3.51) | 33.59 | <0.001 | 67.3% |
| Age | ||||||
| ≤60 years | 5 | 2.06 (1.56–2.73) | 4.89 | 0.429 | 0 | |
| >60 years | 7 | 3.12 (1.93–5.05) | 30.17 | 0.021 | 59.8% | |
| The percentage of men | ||||||
| ≤60% | 7 | 2.49 (1.64–3.79) | 10.11 | 0.072 | 50.5% | |
| >60% | 5 | 2.76 (1.82–4.18) | 17.10 | 0.009 | 64.9% | |
| Multivariate analysis | ||||||
| Yes | 9 | 2.17 (1.67–2.82) | 17.09 | 0.029 | 53.2% | |
| No | 3 | 5.82 (3.34–10.14) | 1.41 | 0.494 | 0 | |
Abbreviations: OR (95%CI): odds ratio and 95% confidence intervals.
Figure 4Random-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).
Figure 3Effects of hypertension on COVID-19 mortality.
Figure 5Funnel plots of detecting publication bias in the studies reporting the effects of hypertension on critical COVID-19 and mortality.