Cardiovascular disease and cardiovascular outcomes in <scp>COVID</scp>‐19

Fisher, Miles

doi:10.1002/pdi.2294

Cited by 7 publications

(3 citation statements)

References 23 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Singh et al, in a meta-analysis revealed that the CVDS increased the risk of mortality in patients SARS-COV-2 infection [18]. A study in Hubei province among 44 672 confirmed cases with COVID-19 reported that infected patients without any underling disease had a case fatality rate of 0.9 %, rising to 6 % in patients with hypertension, 7 % in patients with diabetes and 10 % in patients with CVDs [63]. Momtamanesh et al, in meta-analysis based on 35 studies revealed that CVDs occurred in more than 25 % of infected cases with SARS-COV-2, mortality was 20 times higher, and admission to ICU increased by 13.5 times.…”

Section: Discussionmentioning

confidence: 99%

Proportion and mortality of Iranian diabetes mellitus, chronic kidney disease, hypertension and cardiovascular disease patients with COVID-19: a meta-analysis

Mirjalili

Dastgheib

Shaker

et al. 2021

J Diabetes Metab Disord

View full text Add to dashboard Cite

Background Currently, the number of patients with SARS-COV-2 infection has increased rapidly in Iran, but the risk and mortality of SARS-COV-2 infection in Iranian patients with diabetes mellitus (DM), chronic kidney disease (CKD), hypertension and cardiovascular diseases (CVDs) still not clear. The aim of this meta-analysis was to estimate the proportion and mortality of SARS-COV-2 in these patients. Methods A comprehensive literature search was carried out in PubMed, Web of Sciences, Cochrane Library, EMBASE, CNKI, SciELO, and other databases to identify all relevant studies published up to 10 January, 2020. The proportion and mortality in the patients were assessed by odd ratio (OR) and the corresponding 95 % confidence interval (95 % CI). Results A total of ten case-series including 11,755 cases with SARS-COV-2 infection and 942 deaths were selected. Among them, there were total of 791 DM patients with 186 deaths, 225 CKD patients with 45 deaths, 790 hypertension cases with 86 deaths, and 471 CVDs cases with 60 deaths. Pooled data revealed that the proportion of SARS-COV-2 infection in the patients with hypertension, DM, CVDs and CKD were 21.1 %, 16.3 %, 14.0 % and 5.0 %, respectively. Moreover, the SARS-COV-2 infection were associated with an increased risk of mortality in DM (OR = 0.549, CI 95 % 0.448-0.671, p ≤ 0.001) and CKD (OR = 0.552, 95 % CI 0.367-0.829, p = 0.004) patients, but not hypertension and CVDs. There was no publication bias. Conclusions Our pooled data showed that the proportion of SARS-COV-2 infection was the highest in the Iranian patients with hypertension (21.1 %) followed by DM (16.3 %), CVDs (14.0 %) and CKD (5.0 %). Moreover, DM and CKD in patients with SARS-COV-2 infection were associated with a 0.549 and 0.552-fold increase in mortality, respectively. Clinicians in Iran should be aware of these findings, to identifying patients at higher risk and inform interventions to reduce the risk of death. Moreover, well-designed, large-scale and multicenter studies are needed to improve and validate our findings.

show abstract

Section: Discussionmentioning

confidence: 99%

Proportion and mortality of Iranian diabetes mellitus, chronic kidney disease, hypertension and cardiovascular disease patients with COVID-19: a meta-analysis

Mirjalili

Dastgheib

Shaker

et al. 2021

J Diabetes Metab Disord

View full text Add to dashboard Cite

show abstract

“…The CHA 2 DS 2 -VASc score is note-worthy since it does not require any biochemical markers or radiography, and requires basic knowledge of cardiovascular medical history, along with age and sex. The presence of hypertension, diabetes, congestive cardiac failure, previous ischaemic heart disease, and stroke which increase the CHA 2 DS 2 -VASc score have been strongly associated with adverse outcomes in patients with COVID-19 [ 24 ].…”

Section: Discussionmentioning

confidence: 99%

Utility of conventional clinical risk scores in a low-risk COVID-19 cohort

et al. 2021

View full text Add to dashboard Cite

Background Several specific risk scores for Coronavirus disease 2019 (COVID-19) involving clinical and biochemical parameters have been developed from higher-risk patients, in addition to validating well-established pneumonia risk scores. We compared multiple risk scores in predicting more severe disease in a cohort of young patients with few comorbid illnesses. Accurately predicting the progression of COVID-19 may guide triage and therapy. Methods We retrospectively examined 554 hospitalised COVID-19 patients in Singapore. The CURB-65 score, Pneumonia Severity Index (PSI), ISARIC 4C prognostic score (4C), CHA2DS2-VASc score, COVID-GRAM Critical Illness risk score (COVID-GRAM), Veterans Health Administration COVID-19 index for COVID-19 Mortality (VACO), and the “rule-of-6” score were compared for three performance characteristics: the need for supplemental oxygen, intensive care admission and mechanical ventilation. Results A majority of patients were young (≤ 40 years, n = 372, 67.1%). 57 (10.3%) developed pneumonia, with 16 (2.9% of study population) requiring supplemental oxygen. 19 patients (3.4%) required intensive care and 2 patients (0.5%) died. The clinical risk scores predicted patients who required supplemental oxygenation and intensive care well. Adding the presence of fever to the CHA2DS2-VASc score and 4C score improved the ability to predict patients who required supplemental oxygen (c-statistic 0.81, 95% CI 0.68–0.94; and 0.84, 95% CI 0.75–0.94 respectively). Conclusion Simple scores including well established pneumonia risk scores can help predict progression of COVID-19. Adding the presence of fever as a parameter to the CHA2DS2-VASc or the 4C score improved the performance of these scores in a young population with few comorbidities.

show abstract

“…3. Comorbidities: Given that patients with cardiovascular comorbidities are at higher risk of severe disease and mortality (28), it is natural to consider the cardiovascular information that is also contained in thoracic CT. Models that incorporate automated calcium scoring, for example, allow for the burden of atherosclerotic disease to be incorporated into prognostic models, even in those patients with no prior cardiovascular diagnosis. The effects of COVID-19 on the heart have received little attention.…”

Section: Thoracic Ctmentioning

confidence: 99%