| Literature DB >> 34754084 |
Chia Siang Kow1,2, Dinesh Sangarran Ramachandram3, Syed Shahzad Hasan4,5.
Abstract
We aimed to perform a systematic review and meta-analysis to determine the overall effect of the preadmission/prediagnosis use of calcium channel blockers (CCBs) on the clinical outcomes in hypertensive patients with COVID-19. A systematic literature search with no language restriction was conducted in electronic databases in July 2021 to identify eligible studies. A random-effects model was used to estimate the pooled summary measure for outcomes of interest with the preadmission/prediagnosis use of CCBs relative to the nonuse of CCBs at 95% confidence intervals (CIs). The meta-analysis revealed a significant reduction in the odds of all-cause mortality with the preadmission/prediagnosis use of CCBs relative to the nonuse of CCBs (pooled OR = 0.65; 95% CI 0.49-0.86) and a significant reduction in the odds of severe illness with preadmission/prediagnosis use of CCBs relative to the nonuse of CCBs (pooled OR = 0.61; 95% CI 0.44-0.84), and is associated with adequate evidence to reject the model hypothesis of 'no significant difference' at the current sample size. The potential protective effects offered by CCBs in hypertensive patients with COVID-19 merit large-scale prospective investigations.Entities:
Keywords: CCB; antihypertensive; mortality; severity
Mesh:
Substances:
Year: 2021 PMID: 34754084 PMCID: PMC8576454 DOI: 10.1038/s41440-021-00786-z
Source DB: PubMed Journal: Hypertens Res ISSN: 0916-9636 Impact factor: 3.872
Characteristics of included studies
| Study | Country | Design | Total number of patients | Age (mean [SD]/median [IQR]) | Proportion of patients with hypertension | Mortality | Severe illnessa | Adjusted covariates | NOS | ||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| CCB users ( | Non-CCB users ( | Adjusted estimate (95% CI) | CCB users ( | Non-CCB users ( | Adjusted estimate (95% CI) | ||||||||
| Oh et al. [ | South Korea | Retrospective database review | 7713 | N/A | 24.5% | N/A | N/A | Hypertensive subgroup: OR = 0.58 (0.38–0.89) | — | — | — | Age, sex, income level, presence of underlying disability, place of residence, use of other cardiovascular drugs | 7/9 |
| Choksi et al. [ | United States | Retrospective, single-center | 841 | All patients = 57.9 (20.0) | 53.9% | N/A | N/A | Hypertensive subgroup: OR = 0.69 (0.35–1.38) | N/A | N/A | Hypertensive subgroup: OR = 0.78 (0.49–1.26) | Age, sex, race/ethnicity, comorbidities, COVID-19 treatment | 8/9 |
| Chouchana et al. [ | France | Retrospective, multicenter | 3686 | All patients = 68.0 (25.9) | 100% | N/A | N/A | OR = 0.83 (0.70–0.99) | — | — | — | Age, sex, comorbidities | 8/9 |
| Christiansen et al. [ | Denmark | Prospective database review | 795 | CCB users = 68.0 (57.0–80.0) Non-CCB users = 69.0 (58.0–80.0) | 100% | 17/179; 9.5 | 55/616; 8.9 | RR = 1.08 (0.63–1.85) | 7/179; 3.9 | 39/613; 6.4 | RR = 0.61 (0.25–1.47) | Age, sex, ethnicity, status as healthcare professional, use of other medications, comorbidities, markers of smoking, marital status, place of residence | 7/9 |
| Yan et al. [ | China | Retrospective, multicenter | 655 | All patients = 64.6 (11.8) | 100% | 21/441; 4.8 | 15/214; 7.0 | OR = 0.34 (0.12–0.97) | 106/441; 24.0 | 63/214; 29.4 | OR = 0.47 (0.26–0.87) | Age, sex, baseline blood pressure, comorbidities | 8/9 |
| Neuraz et al. [ | France | Retrospective database review | 3965 | N/A | 100% | N/A | N/A | HR = 0.82 (0.71–0.94) | - | - | - | Age, sex, comorbidities | 8/9 |
| Peng et al. [ | China | Retrospective, multicenter | 718 | CCB users = 65.0 (57.0–71.0) Non-CCB users = 65.0 (57.0–72.0) | 100% | 7/359; 1.9 | 21/359; 5.9 | RR = 0.32 (0.13–0.76) | 6/359; 1.7 | 14/359; 3.9 | RR = 0.42 (0.16–1.10) | Age, sex, temperature, respiratory rate, pulse rate, comorbidities, COVID-19 treatment, use of other antihypertensives | 8/9 |
| Lu et al. [ | China | Retrospective, multicenter | 217 | All patients = 58.0 (45.0–69.0) | 100% | 41/133; 30.8 | 41/84; 48.8 | OR = 0.49 (0.27–0.90) | — | — | — | Age, sex, delay from symptom onset to hospital admission | 7/9 |
| Mendez et al. [ | United States | Retrospective, multicenter | 245 | CCB users = 70.0 (15.0) Non-CCB users = 70.0 (14.0) | 100% | — | — | — | 40/70; 57.1 | 71/175; 40.6 | HR = 1.80 (1.20–2.80) | Age, sex, race/ethnicity, body mass index, comorbidities, Charlson Comorbidity Index, use of other cardiovascular medications | 8/9 |
CCB calcium channel blocker, CI confidence interval, COVID-19 coronavirus disease 2019, COVID-19 coronavirus disease 2019, HR hazard ratio, IQR interquartile range, NOS Newcastle–Ottawa Scale, OR odds ratio, RR risk ratio, SD standard deviation.
aThe definition of severe illness varies across studies; in the studies by Choksi et al., Christiansen et al., and Peng et al., it was defined as admission to the intensive care unit; in the study by Yan et al., it was defined according to the Diagnosis and Treatment Protocol for Novel Coronavirus Pneumonia by the Chinese National Health Commission; and in the study by Mendez et al., it was defined as the use of invasive or noninvasive mechanical ventilation or death.
Fig. 1Pooled odds ratio (OR) of mortality (A) and severe illness (B) between CCB users and non-CCB users with COVID-19 and concurrent hypertension