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Article ; Online: Effects of the pre-existing coronary heart disease on the prognosis of COVID-19 patients: A systematic review and meta-analysis.

Wang, Saikun / Zhu, Ruiting / Zhang, Chengwei / Guo, Yingze / Lv, Mengjiao / Zhang, Changyue / Bian, Ce / Jiang, Ruixue / Zhou, Wei / Guo, Lirong

PloS one

2023 Volume 18, Issue 10, Page(s) e0292021

Abstract: ... with pre-existing coronary heart disease (CHD), the prognosis of COVID-19 patients with pre-existing CHD ... the prognosis of COVID-19 patients with pre-existing CHD. The meta-analysis was performed using a random effects ... Although studies have shown severe Coronavirus disease 2019 (COVID-19) outcomes in patients ...

Abstract	Although studies have shown severe Coronavirus disease 2019 (COVID-19) outcomes in patients with pre-existing coronary heart disease (CHD), the prognosis of COVID-19 patients with pre-existing CHD remains uncertain primarily due to the limited number of patients in existing studies. This study aimed to investigate the impacts of pre-existing CHD on the prognosis of COVID-19 patients. Five electronic databases were searched for eligible studies. This article focused on cohort and case-control studies involving the prognosis of COVID-19 patients with pre-existing CHD. The meta-analysis was performed using a random effects model. The odds ratios (ORs) and 95% confidence intervals (CIs) were used as valid indicators. The study was registered in PROSPERO with the identifier: CRD42022352853. A total of 81 studies, involving 157,439 COVID-19 patients, were included. The results showed that COVID-19 patients with pre-existing CHD exhibited an elevated risk of mortality (OR = 2.45; 95%CI: [2.04, 2.94], P < 0.001), severe/critical COVID-19 (OR = 2.57; 95%CI: [1.98, 3.33], P < 0.001), Intensive Care Unit or Coronary Care Unit (ICU/CCU) admission: (OR = 2.75, 95%CI: [1.61, 4.72], P = 0.002), and reduced odds of discharge/recovery (OR = 0.43, 95%CI: [0.28, 0.66], P < 0.001) compared to COVID-19 patients without pre-existing CHD. Subgroup analyses indicated that the prognosis of COVID-19 patients with pre-existing CHD was influenced by publication year, follow-up duration, gender, and hypertension. In conclusion, pre-existing CHD significantly increases the risk of poor prognosis in patients with COVID-19, particularly in those male or hypertensive patients.
MeSH term(s)	Humans ; Male ; COVID-19/complications ; Coronary Disease/complications ; Hypertension ; Prognosis ; Hospitalization
Language	English
Publishing date	2023-10-10
Publishing country	United States
Document type	Meta-Analysis ; Systematic Review ; Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	2267670-3
ISSN	1932-6203 ; 1932-6203
ISSN (online)	1932-6203
ISSN	1932-6203
DOI	10.1371/journal.pone.0292021
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Coronary heart disease and COVID-19: A meta-analysis.

Liang, Chendi / Zhang, Weijun / Li, Shuzhen / Qin, Gang

Medicina clinica (English ed.)

2021 Volume 156, Issue 11, Page(s) 547–554

Abstract: ... the literature concerning coronary heart disease and COVID-19. The retrieval time was from inception to Nov 20 ... prognosis of COVID-19 (OR=3.42, 95%CI [2.83, 4.13], : Conclusion: Coronary heart disease is a risk factor ... studies were included. The meta-analysis revealed that coronary heart disease was associated with poor ...

Abstract	Objective: Since the World Health Organization (WHO) announced coronavirus disease 2019 (COVID-19) had become a global pandemic on March 11, 2020, the number of infections has been increasing. The purpose of this meta-analysis was to investigate the prognosis of COVID-19 in patients with coronary heart disease. Method: Pubmed, Embase, and Cochrane Library databases were searched to collect the literature concerning coronary heart disease and COVID-19. The retrieval time was from inception to Nov 20, 2020, using Stata version 14.0 for meta-analysis. Results: A total of 22,148 patients from 40 studies were included. The meta-analysis revealed that coronary heart disease was associated with poor prognosis of COVID-19 (OR=3.42, 95%CI [2.83, 4.13], Conclusion: Coronary heart disease is a risk factor for poor prognosis in patients with COVID-19.
Language	English
Publishing date	2021-06-05
Publishing country	Spain
Document type	Journal Article
ISSN	2387-0206
ISSN (online)	2387-0206
DOI	10.1016/j.medcle.2020.12.021
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Coronary heart disease and COVID-19: A meta-analysis.

Liang, Chendi / Zhang, Weijun / Li, Shuzhen / Qin, Gang

Medicina clinica

2021 Volume 156, Issue 11, Page(s) 547–554

Abstract: ... coronary heart disease and poor prognosis of COVID-19 was affected by hypertension (P=0.004), and subgroup analysis ... the literature concerning coronary heart disease and COVID-19. The retrieval time was from inception to Nov 20 ... Conclusion: Coronary heart disease is a risk factor for poor prognosis in patients with COVID-19. ...

Abstract	Objective: Since the World Health Organization (WHO) announced coronavirus disease 2019 (COVID-19) had become a global pandemic on March 11, 2020, the number of infections has been increasing. The purpose of this meta-analysis was to investigate the prognosis of COVID-19 in patients with coronary heart disease. Method: Pubmed, Embase, and Cochrane Library databases were searched to collect the literature concerning coronary heart disease and COVID-19. The retrieval time was from inception to Nov 20, 2020, using Stata version 14.0 for meta-analysis. Results: A total of 22,148 patients from 40 studies were included. The meta-analysis revealed that coronary heart disease was associated with poor prognosis of COVID-19 (OR=3.42, 95%CI [2.83, 4.13], P<0.001). After subgroup analysis, coronary heart disease was found to be related to mortality (OR=3.75, 95%CI [2.91, 4.82], P<0.001), severe/critical COVID-19 (OR=3.23, 95%CI [2.19, 4.77], P<0.001), ICU admission (OR=2.25, 95%CI [1.34, 3.79], P=0.002), disease progression (OR=3.01, 95%CI [1.46, 6.22], P=0.003); Meta-regression showed that the association between coronary heart disease and poor prognosis of COVID-19 was affected by hypertension (P=0.004), and subgroup analysis showed that compared with the proportion of hypertension >30% (OR=2.85, 95%CI [2.33, 3.49]), the proportion of hypertension <30% (OR=4.78, 95%CI [3.50, 6.51]) had a higher risk of poor prognosis. Conclusion: Coronary heart disease is a risk factor for poor prognosis in patients with COVID-19.
MeSH term(s)	COVID-19 ; Coronary Disease/diagnosis ; Coronary Disease/epidemiology ; Hospitalization ; Humans ; Pandemics ; SARS-CoV-2
Language	Spanish
Publishing date	2021-01-28
Publishing country	Spain
Document type	Journal Article ; Meta-Analysis ; Research Support, Non-U.S. Gov't
ZDB-ID	411607-0
ISSN	1578-8989 ; 0025-7753
ISSN (online)	1578-8989
ISSN	0025-7753
DOI	10.1016/j.medcli.2020.12.017
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Article ; Online: Effects of hypertension, diabetes and coronary heart disease on COVID-19 diseases severity: a systematic review and meta-analysis

Chen, Y. / Gong, X. / Wang, L. / Guo, J.

Abstract: ... coronary heart diseases is more likely to worsen, but with mixed results for COVID-19 severity. This meta-analysis is ... to analyze the correlation between hypertension, diabetes, coronary heart disease and COVID-19 disease ... of which 9 articles with 1936 COVID-19 patients met all selection criteria for our meta-analysis. No ...

Abstract	Background: COVID-19 patients with chronic diseases such as hypertension, diabetes and coronary heart diseases is more likely to worsen, but with mixed results for COVID-19 severity. This meta-analysis is to analyze the correlation between hypertension, diabetes, coronary heart disease and COVID-19 disease severity. Methods: Available data from PubMed, Web of Science, China National Knowledge Infrastructure Database, WanFang Database and VIP Database, were analyzed using a fixed effects model meta-analysis to derive overall odds ratios (OR) with 95% CIs. Funnel plots and Begg's were used to assess publication bias. Findings: Of 182 articles found following our initial search, we assessed 34 full-text articles, of which 9 articles with 1936 COVID-19 patients met all selection criteria for our meta-analysis. No significant heterogeneity between studies. There were significant correlations between COVID-19 severity and hypertension [OR=2.3 [95% CI (1.76, 3.00), P<0.01], diabetes [OR=2.67, 95% CI (1.91, 3.74), P<0.01], coronary heart disease [OR=2.85 [95% CI (1.68, 4.84), P<0.01]. Most of the studies in the funnel plot are on the upper part and few on the base part, and are roughly symmetrical left and right. Begg's test: hypertension (Z=-0.1, P=1.0), diabetes (Z=0.73, P=0.466), coronary heart disease (Z=0.38, P=0.707), all found no publication bias. Interpretation: Hypertension, diabetes, and coronary heart disease can affect the severity of COVID-19. It may be related to the imbalance of angiotensin-converting enzyme 2 (ACE2) and the cytokine storm induced by Glucolipid metabolic disorders (GLMD).
Keywords	covid19
Publisher	MedRxiv; WHO
Document type	Article ; Online
DOI	10.1101/2020.03.25.20043133
Database	COVID19

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Article ; Online: Effects of hypertension, diabetes and coronary heart disease on COVID-19 diseases severity: a systematic review and meta-analysis

Chen, Yingyu / Gong, Xiao / Wang, Lexun / Guo, Jiao

medRxiv

Abstract	Background: COVID-19 patients with chronic diseases such as hypertension, diabetes and coronary heart diseases is more likely to worsen, but with mixed results for COVID-19 severity. This meta-analysis is to analyze the correlation between hypertension, diabetes, coronary heart disease and COVID-19 disease severity. Methods: Available data from PubMed, Web of Science, China National Knowledge Infrastructure Database, WanFang Database and VIP Database, were analyzed using a fixed effects model meta-analysis to derive overall odds ratios (OR) with 95% CIs. Funnel plots and Begg9s were used to assess publication bias. Findings: Of 182 articles found following our initial search, we assessed 34 full-text articles, of which 9 articles with 1936 COVID-19 patients met all selection criteria for our meta-analysis. No significant heterogeneity between studies. There were significant correlations between COVID-19 severity and hypertension [OR=2.3 [95% CI (1.76, 3.00), P<0.01], diabetes [OR=2.67, 95% CI (1.91, 3.74), P<0.01], coronary heart disease [OR=2.85 [95% CI (1.68, 4.84), P<0.01]. Most of the studies in the funnel plot are on the upper part and few on the base part, and are roughly symmetrical left and right. Begg9s test: hypertension (Z=-0.1, P=1.0), diabetes (Z=0.73, P=0.466), coronary heart disease (Z=0.38, P=0.707), all found no publication bias. Interpretation: Hypertension, diabetes, and coronary heart disease can affect the severity of COVID-19. It may be related to the imbalance of angiotensin-converting enzyme 2 (ACE2) and the cytokine storm induced by Glucolipid metabolic disorders (GLMD).
Keywords	covid19
Language	English
Publishing date	2020-03-30
Publisher	Cold Spring Harbor Laboratory Press
Document type	Article ; Online
DOI	10.1101/2020.03.25.20043133
Database	COVID19

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Article ; Online: Effects of the pre-existing coronary heart disease on the prognosis of COVID-19 patients

Saikun Wang / Ruiting Zhu / Chengwei Zhang / Yingze Guo / Mengjiao Lv / Changyue Zhang / Ce Bian / Ruixue Jiang / Wei Zhou / Lirong Guo

PLoS ONE, Vol 18, Iss

A systematic review and meta-analysis

2023 Volume 10

Keywords	Medicine ; R ; Science ; Q
Language	English
Publishing date	2023-01-01T00:00:00Z
Publisher	Public Library of Science (PLoS)
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Effects of the pre-existing coronary heart disease on the prognosis of COVID-19 patients

Saikun Wang / Ruiting Zhu / Chengwei Zhang / Yingze Guo / Mengjiao Lv / Changyue Zhang / Ce Bian / Ruixue Jiang / Wei Zhou / Lirong Guo

PLoS ONE, Vol 18, Iss 10, p e

A systematic review and meta-analysis.

2023 Volume 0292021

Abstract	Although studies have shown severe Coronavirus disease 2019 (COVID-19) outcomes in patients with pre-existing coronary heart disease (CHD), the prognosis of COVID-19 patients with pre-existing CHD remains uncertain primarily due to the limited number of patients in existing studies. This study aimed to investigate the impacts of pre-existing CHD on the prognosis of COVID-19 patients. Five electronic databases were searched for eligible studies. This article focused on cohort and case-control studies involving the prognosis of COVID-19 patients with pre-existing CHD. The meta-analysis was performed using a random effects model. The odds ratios (ORs) and 95% confidence intervals (CIs) were used as valid indicators. The study was registered in PROSPERO with the identifier: CRD42022352853. A total of 81 studies, involving 157,439 COVID-19 patients, were included. The results showed that COVID-19 patients with pre-existing CHD exhibited an elevated risk of mortality (OR = 2.45; 95%CI: [2.04, 2.94], P < 0.001), severe/critical COVID-19 (OR = 2.57; 95%CI: [1.98, 3.33], P < 0.001), Intensive Care Unit or Coronary Care Unit (ICU/CCU) admission: (OR = 2.75, 95%CI: [1.61, 4.72], P = 0.002), and reduced odds of discharge/recovery (OR = 0.43, 95%CI: [0.28, 0.66], P < 0.001) compared to COVID-19 patients without pre-existing CHD. Subgroup analyses indicated that the prognosis of COVID-19 patients with pre-existing CHD was influenced by publication year, follow-up duration, gender, and hypertension. In conclusion, pre-existing CHD significantly increases the risk of poor prognosis in patients with COVID-19, particularly in those male or hypertensive patients.
Keywords	Medicine ; R ; Science ; Q
Subject code	610
Language	English
Publishing date	2023-01-01T00:00:00Z
Publisher	Public Library of Science (PLoS)
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Safety and feasibility of robotic assisted percutaneous coronary intervention compared to standard percutaneous coronary intervention- a systematic review and meta-analysis.

Tripathi, Byomesh / Sharma, Purnima / Arora, Shilpkumar / Murtaza, Malik / Singh, Aanandita / Solanki, Dhanshree / Kapadia, Saurabh / Sharma, Akshat / Pershad, Ashish

Indian heart journal

2021 Volume 73, Issue 5, Page(s) 549–554

Abstract: ... relevance during the COVID-19 pandemic era however safety of R-PCI compared to S-PCI has not been studied ... to standard PCI (S-PCI) for the treatment of coronary artery disease (CAD).: Methods: PubMed, Scopus, Ovid ... Theauthors included 5 studies comprising 1555 patients in this meta-analysis. Clinical success was comparable ...

Abstract	Objective: Robotically assisted PCI offers a great alternative to S-PCI. This has gained even more relevance during the COVID-19 pandemic era however safety of R-PCI compared to S-PCI has not been studied well. This study explores the safety and efficacy of robotically assisted PCI (R-PCI) compared to standard PCI (S-PCI) for the treatment of coronary artery disease (CAD). Methods: PubMed, Scopus, Ovid, and Google scholar databases were searched for studies comparing R-PCI to S-PCI. Outcomes included clinical success, procedure time, fluoroscopy time, contrast use and radiation exposure. Results: Theauthors included 5 studies comprising 1555 patients in this meta-analysis. Clinical success was comparable in both arms (p = 0.91). Procedure time was significantly longer in R-PCI group (risk ratio: 5.52, 95% confidence interval: 1.85 to 9.91, p = 0.003). Compared to S-PCI, patients in R-PCI group had lower contrast use (meandifference: -19.88, 95% confidence interval: -21.43 to -18.33, p < 0.001), fluoroscopy time (mean difference:-1.82, 95% confidence interval: -3.64 to -0.00, p = 0.05) and radiation exposure (mean difference:-457.8, 95% confidence interval: -707.14 to -208.14, p < 0.001). Conclusion: R-PCI can achieve similar success as S-PCI at the expense of longer procedural times. However, radiation exposure and contrast exposure were lower in the R-PCI arm.
MeSH term(s)	COVID-19 ; Coronary Angiography ; Coronary Artery Disease/diagnosis ; Coronary Artery Disease/surgery ; Feasibility Studies ; Humans ; Pandemics ; Percutaneous Coronary Intervention ; Robotic Surgical Procedures ; SARS-CoV-2 ; Treatment Outcome
Language	English
Publishing date	2021-08-23
Publishing country	India
Document type	Journal Article ; Meta-Analysis ; Systematic Review
ZDB-ID	604366-5
ISSN	2213-3763 ; 0019-4832
ISSN (online)	2213-3763
ISSN	0019-4832
DOI	10.1016/j.ihj.2021.08.006
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Article ; Online: Worldwide impact of COVID-19 on hospital admissions for non-ST-elevation acute coronary syndromes (NSTACS): a systematic review with meta-analysis of 553 038 cases.

Sofi, Francesco / Dinu, Monica / Reboldi, GianPaolo / Lotti, Sofia / Genovese, Luca / Tritto, Isabella / Gensini, GianFranco / Gibson, Charles Michael / Ambrosio, Giuseppe

European heart journal. Quality of care & clinical outcomes

2023 Volume 10, Issue 3, Page(s) 265–283

Abstract: ... reporting NSTACS hospitalizations during the COVID-19 pandemic, and analyse whether differences in COVID-19 ... Background: How coronavirus disease 2019 (COVID-19) impacted non-ST-segment elevation ... for Systematic Reviews and Meta-analysis guidelines. Data were independently extracted by multiple investigators ...

Abstract	Background: How coronavirus disease 2019 (COVID-19) impacted non-ST-segment elevation acute coronary syndromes (NSTACS) is an object of controversial reports. Aim: To systematically review studies reporting NSTACS hospitalizations during the COVID-19 pandemic, and analyse whether differences in COVID-19 epidemiology, methodology of report, or public health-related factors could contribute to discrepant findings. Methods: Comprehensive search (Medline, Embase, Scopus, Web of Science, Cochrane Register), of studies reporting NSTACS hospitalizations during the COVID-19 pandemic compared with a reference period, following Preferred Reporting Items for Systematic Reviews and Meta-analysis guidelines. Data were independently extracted by multiple investigators and pooled using a random-effects model. Health-related metrics were from publicly available sources, and analysed through multiple meta-regression modelling. Results: We retrieved 102 articles (553 038 NSTACS cases, 40 countries). During peak COVID-19 pandemic, overall incidence rate ratio (IRR) of NSTACS hospitalizations over reference period decreased (0.70, 95% confidence interval (CI) 0.66-0.75; P < 0.00001). Significant heterogeneity was detected among studies (I2 = 98%; P < 0.00001). Importantly, wide variations were observed among, and within, countries. No significant differences were observed by study quality, whereas comparing different periods within 2020 resulted in greater decrease (IRR: 0.61; CI: 0.53-0.71) than comparing 2020 vs. previous years (IRR: 0.74; CI 0.69-0.79). Among many variables, major predictors of heterogeneity were severe acute respiratory syndrome coronavirus 2 reproduction rate/country, number of hospitals queried, and reference period length; country stringency index and socio-economical indicators did not contribute significantly. Conclusions: During the COVID-19 pandemic, NSTACS hospitalizations decreased significantly worldwide. However, substantial heterogeneity emerged among countries, and within the same country. Factors linked to public health management, but also to methodologies to collect results may have contributed to this heterogeneity. Trial registration: The protocol was registered in the PROSPERO International Prospective Register of Systematic Reviews (ID: CRD42022308159).
MeSH term(s)	Humans ; COVID-19/epidemiology ; Acute Coronary Syndrome/epidemiology ; Acute Coronary Syndrome/therapy ; Hospitalization/statistics & numerical data ; Global Health ; SARS-CoV-2 ; Pandemics
Language	English
Publishing date	2023-08-12
Publishing country	England
Document type	Journal Article ; Systematic Review ; Meta-Analysis
ZDB-ID	2823451-0
ISSN	2058-1742 ; 2058-5225
ISSN (online)	2058-1742
ISSN	2058-5225
DOI	10.1093/ehjqcco/qcad048
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Article ; Online: Impact of the COVID-19 Pandemic on Same-day Discharge Adoption Following Percutaneous Coronary Intervention for Stable CAD: A National Time Series Analysis

Thangam, Manoj / Grzeskowiak, Michael / Masoudi, Frederick A. / Bunte, Matthew C. / Fry, Edward / Pirwitz, Mark J / Ottenbacher, Allison / Perez Moreno, Ana Cristina / Miller, Collin / Benedict, Sarah / Amin, Amit P. / Parikh, Sahil A / Monteleone, Peter

medRxiv

Abstract: ... although the impact of the coronavirus disease of 2019 (COVID-19) pandemic on rates of SDD and associated care episode ... registry data and administrative claims data. Rates of SDD before and after the COVID-19 pandemic (March ... prior myocardial infarction, and heart failure history were noted in the post pandemic group. Pandemic ...

Abstract	Abstract Background: Elective percutaneous coronary intervention (PCI) historically required hospitalization post procedure. Same day discharge (SDD) has emerged as a safe and cost efficient option, although the impact of the coronavirus disease of 2019 (COVID-19) pandemic on rates of SDD and associated care episode costs remains uncertain. Methods: A national sample of consecutive patients undergoing elective PCI at 42 hospitals (Ascension, St.Louis, MO) between May 2019 to April 2021 were identified using internal registry data and administrative claims data. Rates of SDD before and after the COVID-19 pandemic (March 2020) were compared using multivariable logistic regression adjusted for patient and procedural characteristics. Additionally, an interrupted time series model was used to determine the effect of the pandemic and policy on SDD rates before and after pandemic declaration. Lastly, we estimated total costs per PCI episode in pre and post pandemic periods. Results: In total, 12,740 interventions were performed within 42 Ascension facilities that met study eligibility criteria (5955 PCI prior to the pandemic and 6785 after). Demographic data were similar between both populations although higher rates of dyslipidemia, prior myocardial infarction, and heart failure history were noted in the post pandemic group. Pandemic declaration was associated with a higher likelihood of SDD (OR 2.09, CI 1.93-2.25, p < 0.001). From pre-pandemic to post-pandemic, mean SDD rose from 34% to 45% (p< 0.001) with an accelerated monthly SDD adoption rate after the pandemic (0.1% per month vs 1.0% per month, p=0.02). Total costs per episode were $679.52 (95% CI $476.12 ? $882.92, p < 0.001) higher in the post-pandemic period, driven by increased material costs. SDD was associated with a $2137.05 (95% CI $1925.03 - $2349.07, p < 0.001) reduction in costs relative to non-SDD episodes throughout the study period. Conclusion: Among a large national risk-adjusted sample of consecutive patients, the COVID-19 pandemic accelerated adoption of SDD. As a care strategy, SDD was associated with reduced episode costs during elective PCI in the post-pandemic period .
Keywords	covid19
Language	English
Publishing date	2023-08-29
Publisher	Cold Spring Harbor Laboratory Press
Document type	Article ; Online
DOI	10.1101/2023.08.28.23294753
Database	COVID19

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