Literature DB >> 36156591

Trends and outcomes of percutaneous coronary intervention during the COVID-19 pandemic in Michigan.

Lorenzo Azzalini1, Milan Seth2, Devraj Sukul2, Javier A Valle3,4, Edouard Daher5, Brett Wanamaker2, Michael T Tucciarone6, Anwar Zaitoun7, Ryan D Madder8, Hitinder S Gurm2.   

Abstract

BACKGROUND: The COVID-19 pandemic has severely impacted healthcare delivery and patient outcomes globally. AIMS: We aimed to evaluate the influence of the COVID-19 pandemic on the temporal trends and outcomes of patients undergoing percutaneous coronary intervention (PCI) in Michigan.
METHODS: We compared all patients undergoing PCI in the BMC2 Registry between March and December 2020 ("pandemic cohort") with those undergoing PCI between March and December 2019 ("pre-pandemic cohort"). A risk-adjusted analysis of in-hospital outcomes was performed between the pre-pandemic and pandemic cohort. A subgroup analysis was performed comparing COVID-19 positive vs. negative patients during the pandemic.
RESULTS: There was a 15.2% reduction in overall PCI volume from the pre-pandemic (n = 25,737) to the pandemic cohort (n = 21,822), which was more pronounced for stable angina and non-ST-elevation acute coronary syndromes (ACS) presentations, and between February and May 2020. Patients in the two cohorts had similar clinical and procedural characteristics. Monthly mortality rates for primary PCI were generally higher in the pandemic period. There were no significant system delays in care between the cohorts. Risk-adjusted mortality was higher in the pandemic cohort (aOR 1.26, 95% CI 1.07-1.47, p = 0.005), a finding that was only partially explained by worse outcomes in COVID-19 patients and was more pronounced in subjects with ACS. During the pandemic, COVID-19 positive patients suffered higher risk-adjusted mortality (aOR 5.69, 95% CI 2.54-12.74, p<0.001) compared with COVID negative patients.
CONCLUSIONS: During the COVID-19 pandemic, we observed a reduction in PCI volumes and higher risk-adjusted mortality. COVID-19 positive patients experienced significantly worse outcomes.

Entities:  

Mesh:

Year:  2022        PMID: 36156591      PMCID: PMC9512204          DOI: 10.1371/journal.pone.0273638

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.752


Introduction

The COVID-19 pandemic represents the most important public health crisis of the century. Besides its direct impact on COVID-19-related hospitalizations, morbidity and mortality, the pandemic has also dramatically impacted health care delivery for non-COVID-19 conditions around the world [1]. Systems of care for acute myocardial infarction had to be redesigned [2-5], ST-elevation myocardial infarction (STEMI) metrics and outcomes (including mortality) worsened [6-10], complications of late-presentation acute myocardial infarction increased [11], and lower hospitalization rates for acute coronary syndromes (ACS) [9, 12] paralleled an increase in the rates of out-of-hospital cardiac arrest (particularly among patients infected with COVID-19) [13]. While preliminary reports from small cohorts focused on STEMI [14-16] or ACS [10, 17] care at selected sites, systematic reporting from national or statewide registries of all-comers undergoing percutaneous coronary intervention (PCI) is scant [18]. Moreover, such reports only focused on the early phases of the pandemic (“first wave”) and might have missed temporal changes occurring during later phases of this public health crisis. As such, a rigorous assessment of the impact of the COVID-19 pandemic on the delivery and outcomes of PCI in the general population is warranted. The aim of the present study was to evaluate the temporal trends and outcomes of patients undergoing PCI in Michigan during the COVID-19 pandemic and to compare them with those of the pre-pandemic era, by using data from the Blue Cross Blue Shield of Michigan Cardiovascular Consortium (BMC2) PCI registry.

Methods

Study population

All patient data points were derived from a HIPAA-compliant database. The University of Michigan IRB has waived the need for ongoing IRB approval on all analysis that are performed using BMC2 data. Consent was not obtained as all data were analyzed anonymously. The study population consisted of consecutive patients who underwent PCI at all 48 non-federal hospitals in Michigan participating in the BMC2 registry between March 1, 2020 and December 31, 2020 (pandemic cohort). This population was compared with all patients who underwent PCI between March 1, 2019 and December 31, 2019 (pre-pandemic cohort). The inception date of the pandemic cohort was chosen based on the date when the first COVID-19 case was diagnosed in Michigan (March 11, 2020). Details of the BMC2 registry have been previously described [19-21]. Data, collected by on-site registered nurse coordinators, included demographic and clinical characteristics, procedural details, and in-hospital outcomes of patients undergoing PCI procedures. Data quality and the inclusion of consecutive procedures were ensured by ad hoc queries, random chart reviews, detailed site audits by an experienced nurse auditor, and a series of diagnostic routines included in the database [22]. The registry was approved or the need for approval waived by the Institutional Review Board of each participating hospital. All relevant data necessary to replicate the study findings are within the paper. The authors are unable to share the raw data, due to contractual agreements between participating institutions and the BMC2 registry that prohibit data sharing with external agencies. However, the analysis code and metadata to support the study figures is available on request.

Data definitions and clinical endpoints

The estimated glomerular filtration rate (eGFR) was calculated with the Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) equation [23]. Acute heart failure symptoms were defined as difficulty breathing, leg or feet swelling, pulmonary edema on chest X-ray or jugular venous distension. Cardiovascular instability was defined as a combination of cardiogenic shock, hemodynamic instability, persistent ischemic symptoms, acute heart failure symptoms, ventricular arrhythmia, and refractory shock. Cardiogenic shock was defined as a sustained (>30 min) episode of systolic blood pressure <90 mm Hg and/or cardiac index <2.2 l/min/m2 determined to be secondary to cardiac dysfunction, and/or the requirement for intravenous inotropic or vasopressor agents or mechanical support to maintain blood pressure and cardiac index above those specified levels. These definitions were based on the NCDR CathPCI Registry v. 5.0 data dictionary. The primary endpoint of this study was in-hospital death. Secondary endpoints included: acute kidney injury (AKI, defined as a ≥0.5 mg/dl absolute increase in serum creatinine from baseline [24, 25]); transfusion (at any time point between PCI and discharge); and major bleeding (defined as bleeding associated with a hemoglobin drop ≥5.0 g/dl from baseline).

Statistical analysis

Continuous variables are reported as mean ± standard deviation (or as median and interquartile range, as appropriate), and categorical variables as number and percentage. The independent-samples Student’s t-test was used to compare continuous variables with normal distribution, and the Wilcoxon signed rank test was used to compare continuous variables with a non-normal distribution. Chi-square test was used to compare differences between categorical variables. Standardized mean differences (SMDs) for each variable are also reported, since our large sample size might have led to statistically significant but clinically unimportant differences as assessed by the aforementioned tests. Traditionally, SMDs <10% have been considered to indicate a negligible difference in the mean or prevalence of a covariate between treatment groups, and thus would be unlikely to confound an analysis of clinical endpoints [26]. Temporal trends in PCI volumes (primary PCI for STEMI vs. all other PCI indications) were compared between the pre-pandemic and pandemic periods. A subgroup analysis was conducted, within the pandemic cohort, between patients with a positive vs. negative COVID-19 test. Risk-adjusted comparisons of in-hospital outcomes (death, AKI, transfusion, and major bleeding) were performed between the pre-pandemic and pandemic periods, using logistic regression models adjusting for baseline patient predicted risk, estimated from a recently updated version of our random forest model [27]. In addition, we performed a sensitivity analysis using patient risk estimates based on the recently published NCDR CathPCI Registry mortality risk model [28]. The results of these analyses are presented as odds ratios (OR) and 95% confidence intervals (CI). A 2-tailed p-value <0.05 was considered statistically significant. All analyses were performed with R version 3.6.3 (R Core Team, Vienna, Austria).

Results

Overall patient population

During the pre-pandemic period, a total of 25,737 patients underwent PCI at facilities participating in the BMC2 Registry, which decreased to 21,822 subjects in the pandemic period, a 15.2% relative decrease. Fig 1 demonstrates the decrease in PCI volumes across all indications between the pre-pandemic and pandemic periods (-11.7% for stable coronary artery disease [CAD], -19.7% for non-ST-elevation ACS [NSTE-ACS], -12.6% for STEMI). shows the baseline and procedural characteristics of the two cohorts. There were minimal differences between groups for the studied variables, with SMDs <10% in all cases. Notably, presentation with non-ST-elevation ACS, STEMI, and cardiovascular instability remained stable at ~41%, ~16%, and ~23%, respectively. Similarly, there were no differences in the prevalence of multivessel disease, left main PCI, type C lesions and need for mechanical circulatory support.
Fig 1

Percutaneous coronary intervention (PCI) volumes for various indications in the pre-pandemic vs. pandemic period.

Abbreviations: CAD, coronary artery disease; NSTE-ACS, non-ST-elevation acute coronary syndrome; STEMI, ST-elevation myocardial infarction.

Percutaneous coronary intervention (PCI) volumes for various indications in the pre-pandemic vs. pandemic period.

Abbreviations: CAD, coronary artery disease; NSTE-ACS, non-ST-elevation acute coronary syndrome; STEMI, ST-elevation myocardial infarction. Values are expressed as mean ± standard deviation, or n (%). Abbreviations: CABG, coronary artery bypass graft; eGFR, estimated glomerular filtration rate; LVEF, left ventricular ejection fraction; NSTE-ACS, non-ST-elevation acute coronary syndrome; PCI, percutaneous intervention; SMD, standardized mean difference; STEMI, ST-elevation myocardial infarction. shows the unadjusted rates of in-hospital outcomes of the two cohorts. There were no significant differences for most outcomes. However, the in-hospital death rate was marginally higher in the pandemic period (2.0% vs. 1.7%; SMD 2.5%), while the incidence of heart failure (2.2% vs. 1.8%; SMD 2.6%) and myocardial infarction (0.6% vs. 0.4%; SMD 2.1%) was marginally higher in the pre-pandemic cohort. Values are expressed as n (%)

Temporal trends in PCI for STEMI vs. all other indications and primary PCI mortality

shows monthly volumes for primary PCI and PCI for all other indications during 2019 and 2020, in relation to COVID-19 case count in the State of Michigan (which was downloaded from: https://data.cdc.gov/Case-Surveillance/United-States-COVID-19-Cases-and-Deaths-by-State-o/9mfq-cb36). Overall, primary PCI volumes were lower for almost any given month in 2020, compared with 2019. There was a sharp decline in primary PCI between February and May 2020, which began slightly before the first diagnosed COVID-19 case in Michigan on March 11, 2020. Subsequent months saw a partial recovery in procedural volumes. A similar, although much more pronounced, pattern was observed with regard to PCI volume for all other indications. In particular, in April 2020 PCI volume was less than half of what had been in April 2019.

Monthly primary and non-primary PCI volume in the pre-pandemic (black) vs. pandemic (red) period.

Monthly COVID-19 case counts (blue) are also displayed. The first COVID-19 case in Michigan was diagnosed on March 11, 2020. displays monthly mortality rates for primary PCI in the pre-pandemic and pandemic periods. Except for June and July, mortality rates were higher in 2020 compared with 2019. As shown in , there were clinically negligible differences in the door-to-balloon times for both cases with (pre-pandemic 113 (94–145) vs. pandemic 115.5 (95–146) min, p = 0.582) and without (pre-pandemic 68 (53–84) vs. pandemic 69 (55–86) min, p = 0.002) transfer from another facility. The overall symptoms-to-balloon time slightly increased from the pre-pandemic to the pandemic period: 158 (121–228.5) min vs. 166 (123–245.5) min (p = 0.007).

Subgroup analysis of COVID-19 positive vs. negative patients in the pandemic cohort

presents COVID-19 status of the patients in the pandemic cohort. The chart highlights how COVID-19 testing slowly became more widespread throughout 2020, so that by the end of the year approximately two-thirds of patients undergoing PCI underwent testing. shows a comparison of the clinical and procedural characteristics of patients who underwent PCI in the pandemic period and had a positive (n = 93) vs. negative (n = 9,935) COVID-19 test. There were important differences between the two groups. COVID-19 patients had a higher prevalence of black race (24.7% vs. 11.5%, SMD 34.9%), diabetes mellitus (51.6% vs. 41.9%, SMD 19.5%), presentation with STEMI (35.5% vs. 12.8%, SMD 55.1%), cardiac arrest (4.3% vs. 0.9%, SMD 21.9%), multivessel disease (55.9% vs. 46.5%, SMD 19.0%), and need for mechanical circulatory support (8.6% vs. 3.9%, SMD 19.5%). Values are expressed as mean ± standard deviation, or n (%). * Cardiovascular instability includes: cardiogenic shock, hemodynamic instability, persistent ischemic symptoms, acute heart failure symptoms, ventricular arrhythmia, and refractory shock. Abbreviations: CABG, coronary artery bypass graft; eGFR, estimated glomerular filtration rate; LVEF, left ventricular ejection fraction; NSTE-ACS, non-ST-elevation acute coronary syndrome; PCI, percutaneous intervention; SMD, standardized mean difference; STEMI, ST-elevation myocardial infarction. shows the in-hospital outcomes according to COVID-19 status. There were important differences between groups for most outcomes. In particular, patients with COVID-19 suffered higher rates of death (12.9% vs. 2.0%, p<0.001, SMD 42.3%), AKI (8.8% vs. 3.9%, p = 0.050, SMD 20.3%), new requirement for dialysis (3.2% vs. 0.4%, p = 0.002, SMD 20.8%), and transfusion (8.6% vs. 2.9%, p = 0.003, SMD 24.8%). Values are expressed as n (%)

Adjusted comparisons of in-hospital outcomes

presents the risk-adjusted in-hospital outcome comparisons between the pre-pandemic and pandemic period, as well as between subjects with a positive vs. negative COVID-19 test in the 2020 cohort. Patients in the pandemic cohort suffered a higher adjusted risk of all-cause death (BMC2 model: OR 1.26, 95% CI 1.07–1.47, p = 0.005; new NCDR model: OR 1.22, 95% CI 1.05–1.41, p = 0.011), while differences in AKI, transfusion and major bleeding were non-significant. On the other hand, COVID-19 patients in 2020 had higher adjusted risk of all-cause death (BMC2 model: OR 5.69, 95% CI 2.54–12.74, p<0.001; new NCDR model: OR 5.28, 95% CI 2.42–11.53, p<0.001) and transfusion (OR 3.32, 95% CI 1.52–7.26, p = 0.003), compared with subjects with a negative COVID-19 test. To ascertain whether the higher adjusted risk of mortality in the pandemic cohort was driven by inferior outcomes in COVID-19 patients, we performed a sensitivity analysis excluding patients with a positive COVID-19 test in the pandemic cohort. As reported in , there remained an increase in the adjusted risk of death in the pandemic cohort (OR 1.23, 95% CI 1.05–1.44, p = 0.012), thus indicating that the observed higher mortality risk in the pandemic cohort was associated with worse outcomes in both COVID-19 positive and negative patients. presents a risk-adjusted mortality comparison between the pre-pandemic and pandemic periods stratified by clinical presentation. While there was no difference in the outcome of patients with non-ACS presentation in the pandemic cohort (OR 1.02, 95% CI 0.66–1.58, p = 0.917), we observed a borderline higher risk of mortality for NSTE-ACS presentation (OR 1.23, 95% CI 0.95–1.60, p = 0.118) and a significantly higher mortality risk for STEMI patients (OR 1.34, 95% CI 1.07–1.68, p = 0.010) in the pandemic cohort. Risk-adjusted outcome comparison between (A) the pre-pandemic and pandemic period, and (B) within the pandemic cohort, between COVID-19 positive and negative patients. Abbreviations: AKI, acute kidney injury; CI, confidence interval; OR, odds ratio.

Discussion

The main findings of our study are: 1) there was a ~15% decrease in overall PCI volume from the pre-pandemic to the pandemic period, which was observed for all presentations (stable CAD, NSTE-ACS, and STEMI) and was particularly marked in the winter and spring months; 2) despite similar clinical and procedural characteristics of the study population in the two periods, monthly mortality rates for primary PCI were in general higher in the pandemic period, a finding that was however not related to clinically significant system delays in STEMI care; 3) in the pandemic period, COVID-19 positive patients undergoing PCI had markedly higher prevalence of baseline clinical and presentation features indicative of higher severity of illness (including STEMI, cardiac arrest, multivessel disease and need for mechanical circulatory support), which was associated with worse clinical outcomes; 4) compared with patients undergoing PCI in the pre-pandemic period, those undergoing PCI in the pandemic period had a higher risk of death, a finding that was only partially explained by worse outcomes observed in COVID-19 patients, and seemed to be more pronounced in subjects presenting with ACS (particularly STEMI). Compared with prior literature, our report presents several unique strengths: 1) it provides in-depth insights on the outcomes of all-comers undergoing PCI before and during the COVID-19 pandemic; 2) it gives a representative snapshot of the outcomes of patients undergoing PCI in the whole State of Michigan (population: 10 million), thus avoiding issues related to selection bias; 3) our analysis covers a longer period compared to initial reports that exclusively focused on the “first wave” of the pandemic, thus providing additional insights on the evolution of these complex phenomena over time. Kwok et al. [18] reported a sharp decrease (49%) in the overall PCI volume in England after the March 23, 2020 lockdown. This was particularly pronounced for patients undergoing PCI for stable CAD. These observations parallel our study findings. However, the authors reported a lower risk profile in patients undergoing PCI after the lockdown (particularly for NSTE-ACS), thus reflecting a more conservative approach towards older patients and those with comorbidities. In contrast, we did not observe a change in clinical and procedural characteristics between the pre-pandemic and pandemic period. Further insights and comparisons are limited by the lack of COVID-19 status information and in-hospital outcomes, as well as the shorter inclusion period (until April 2020), in the study by Kwok et al. [18]. Garcia et al. [14] reported on the outcomes of COVID-19 patients presenting with STEMI at selected sites in North America. Similar to our findings, they observed a higher prevalence of minority ethnicities (Hispanics and Blacks), baseline comorbidities, as well as adverse clinical presentation (cardiogenic shock), in COVID-19 positive patients, which paralleled a markedly increased incidence of a composite endpoint of in-hospital death, stroke, recurrent myocardial infarction, or repeat unplanned revascularization in such group, compared with COVID-19 negative subjects (36% vs. 5%, p<0.001). These observations are to be put into the context of a 38% reduction in STEMI catheterization laboratory activations in the first quarter of 2020 in the U.S. [15]. A marked decrease in the rates of admission for STEMI and NSTE-ACS was also reported in Northern Italy during the first month of the pandemic [12], and COVID-19 patients presenting with STEMI from the same geographic area suffered a very high mortality (39%) [16]. Similarly, Kite et al. [10] found a higher risk of mortality in COVID-19 patients presenting with ACS in a propensity score-adjusted comparison with pre-pandemic ACS patients. Mohamed et al. [29] reported a marked decrease in cardiac procedures in England between January and May 2020. Cardiac catheterization and device implantations were the most affected in terms of absolute numbers. Of note, for these two procedures an increase in 30-day mortality was observed, suggesting that perhaps those were performed in higher-risk patients for whom deferral (or non-invasive evaluation, in case of cardiac catheterization) was not possible. We found that monthly mortality rates for patients undergoing PCI for STEMI were higher in the pandemic period (except for June and July 2020). Data from Hong Kong during the first two weeks of the pandemic highlight an important prolongation of STEMI time metrics such as symptom-to-first-medical-contact and door-to-balloon times [3]. However, such an issue was not observed in our cohort, where door-to-balloon times were prolonged by ~1–2 minutes only () and overall symptoms-to-balloon time suffered a median increase of just 8 minutes. Therefore, differences in system delays for STEMI care were unlikely to be responsible for the differences in outcomes during the first 9 months of the pandemic in Michigan and possibly indicated effective organizational restructuring. In an effort to identify the reason underlying the higher risk-adjusted mortality in all-comers undergoing PCI during the pandemic, we performed additional sensitivity and stratified analyses, which demonstrated that such finding was more pronounced in patients presenting with ACS (particularly STEMI) and was only partially explained by worse outcomes observed in subjects with COVID-19. Several authors have analyzed the “collateral damage” of the COVID-19 pandemic to cardiac care in non-COVID-19 subjects. Moroni et al. [11] first reported on the phenomenon of medical care avoidance among ACS patients during the first weeks of the pandemic in Italy. Early in the course of the pandemic, public health officials and the media were discouraging the population from seeking care in the emergency room setting to limit the spread of COVID-19. In this context, several patients who were not infected with COVID-19 suffered complications of myocardial infarction associated with late presentation (left ventricular thrombosis with systemic embolization, cardiogenic shock, papillary muscle and free-wall rupture, etc.). Further adjustments in public health information of the general population, as well as better COVID-19 containment measures, have likely mitigated this phenomenon. However, many have speculated that the pandemic might exert a persistent, longer-term effect in reducing the access to state-of-the-art care for life-threatening cardiac conditions, such as aortic stenosis or complex, multivessel or left main CAD [29, 30].

Limitations

This is a retrospective study, and it is susceptible to limitations ascribed to such a study design. In particular, no causality can be claimed for any of the clinical associations we observed. The subanalysis in the pandemic cohort according to COVID-19 status is limited by the fact that COVID-19 testing was performed in only 46% of patients in such cohort due to limited test availability, particularly in the earlier months of the pandemic. While we were able to rule out specific causes underlying our key study findings (e.g., that the higher risk-adjusted mortality observed in the pandemic cohort could be exclusively linked to worse outcomes in COVID-19 patients), we were not able to positively identify the reasons for such findings, and the theory of the “collateral damage” of the pandemic on cardiovascular care delivery in non-COVID-19 patients remains purely speculative. The data from Michigan reflect the experience of a long-standing quality improvement collaborative that actively shared best practices for catheterization laboratory response to COVID and may not be generalizable to all health systems. Finally, our registry included only patients who actually underwent PCI and we cannot provide insights on the volume trends and outcomes of patients who presented with ACS or stable CAD but who did not undergo PCI.

Conclusions

We observed a ~15% reduction in PCI volumes for all indications between March and December 2020 in Michigan. Although patient and procedural characteristics remained essentially stable between 2019 and 2020, higher risk-adjusted mortality was observed during the pandemic, a finding that was not completely explained by worse outcomes in COVID-19 patients and was more pronounced in subjects presenting with ACS (particularly STEMI), raising the possibility of an indirect effect of the pandemic on cardiovascular care delivery in non-COVID-19 patients. In the pandemic cohort, COVID-19 patients suffered higher risk-adjusted mortality.

Boxplots comparing door-to-balloon times for primary PCI in the pre-pandemic (2019) vs. pandemic (2020) period.

(TIF) Click here for additional data file.

COVID-19 status of the patients in the pandemic (2020) cohort.

(TIF) Click here for additional data file.

Risk-adjusted in-hospital outcomes in the pre-pandemic (2019) vs. pandemic (2020) periods, excluding COVID-19-positive patients in the 2020 cohort.

(TIF) Click here for additional data file.

Risk-adjusted mortality comparison between the pre-pandemic (2019) and pandemic (2020) periods stratified by clinical presentation.

(TIF) Click here for additional data file. 29 Mar 2022
PONE-D-21-35320
Trends and outcomes of percutaneous coronary intervention during the COVID-19 pandemic in Michigan PLOS ONE Dear Dr. Gurm, Thank you for submitting your manuscript to PLOS ONE. After careful consideration, we feel that it has merit but does not fully meet PLOS ONE’s publication criteria as it currently stands. Therefore, we invite you to submit a revised version of the manuscript that addresses the points raised during the review process. ============================== ACADEMIC EDITOR: Thank you very much for having submitted this paper for consideration. The reviewers raised some comments and in particular reviewer number 2. The following indications will help you to improve the quality of your paper. For Lab, Study and Registered Report Protocols: These article types are not expected to include results but may include pilot data. ============================== Please submit your revised manuscript by Apr 23 2022 11:59PM. If you will need more time than this to complete your revisions, please reply to this message or contact the journal office at plosone@plos.org. When you're ready to submit your revision, log on to https://www.editorialmanager.com/pone/ and select the 'Submissions Needing Revision' folder to locate your manuscript file. Please include the following items when submitting your revised manuscript: A rebuttal letter that responds to each point raised by the academic editor and reviewer(s). You should upload this letter as a separate file labeled 'Response to Reviewers'. A marked-up copy of your manuscript that highlights changes made to the original version. You should upload this as a separate file labeled 'Revised Manuscript with Track Changes'. An unmarked version of your revised paper without tracked changes. You should upload this as a separate file labeled 'Manuscript'. If you would like to make changes to your financial disclosure, please include your updated statement in your cover letter. Guidelines for resubmitting your figure files are available below the reviewer comments at the end of this letter. If applicable, we recommend that you deposit your laboratory protocols in protocols.io to enhance the reproducibility of your results. Protocols.io assigns your protocol its own identifier (DOI) so that it can be cited independently in the future. For instructions see: https://journals.plos.org/plosone/s/submission-guidelines#loc-laboratory-protocols. Additionally, PLOS ONE offers an option for publishing peer-reviewed Lab Protocol articles, which describe protocols hosted on protocols.io. Read more information on sharing protocols at https://plos.org/protocols?utm_medium=editorial-email&utm_source=authorletters&utm_campaign=protocols. We look forward to receiving your revised manuscript. Kind regards, Simone Savastano Academic Editor PLOS ONE Journal requirements: When submitting your revision, we need you to address these additional requirements. 1. Please ensure that your manuscript meets PLOS ONE's style requirements, including those for file naming. The PLOS ONE style templates can be found at https://journals.plos.org/plosone/s/file?id=wjVg/PLOSOne_formatting_sample_main_body.pdf and https://journals.plos.org/plosone/s/file?id=ba62/PLOSOne_formatting_sample_title_authors_affiliations.pdf. 2. Thank you for stating the following in the Funding Section of your manuscript: “This work was supported by the Blue Cross Blue Shield of Michigan and Blue Care Network as part of the Blue Cross Blue Shield of Michigan Value Partnerships program. The funding source supported data collection at each site and funded the data-coordinating center, but had no role in study concept, interpretation of findings, or in the preparation, final approval or decision to submit the manuscript.” We note that you have provided funding information that is not currently declared in your Funding Statement. However, funding information should not appear in the Acknowledgments section or other areas of your manuscript. We will only publish funding information present in the Funding Statement section of the online submission form. Please remove any funding-related text from the manuscript and let us know how you would like to update your Funding Statement. Currently, your Funding Statement reads as follows: “This work was supported by the Blue Cross Blue Shield of Michigan and Blue Care Network as part of the Blue Cross Blue Shield of Michigan Value Partnerships program. The funding source supported data collection at each site and funded the data-coordinating center, but had no role in study concept, interpretation of findings, or in the preparation, final approval or decision to submit the manuscript.” Please include your amended statements within your cover letter; we will change the online submission form on your behalf. 3. Thank you for stating the following in the Competing Interests section: “I have read the journal's policy and the authors of this manuscript have the following competing interests: Dr. Azzalini received consulting fees from Teleflex, Abiomed, Asahi Intecc, Abbott Vascular, Philips, and Cardiovascular Systems, Inc. Dr. Sukul receives salary support from the Blue Cross Blue Shield of Michigan for his role in BMC2. Dr. Gurm receives research support from Blue Cross and Blue Shield of Michigan, and Michigan Translational Research and Commercialization for Life Sciences Innovation Hub. He is the co-founder of, owns equity in, and is a consultant to Amplitude Vascular Systems. He also owns equity in Jiaxing Bossh Medical Technology Partnership and is a consultant for Osprey Medical. He is the chair of the Clinical Events Committee for the PERFORMANCE trial sponsored by Contego Medical. The other authors have no disclosures.” Please confirm that this does not alter your adherence to all PLOS ONE policies on sharing data and materials, by including the following statement: ""This does not alter our adherence to  PLOS ONE policies on sharing data and materials.” (as detailed online in our guide for authors http://journals.plos.org/plosone/s/competing-interests).  If there are restrictions on sharing of data and/or materials, please state these. Please note that we cannot proceed with consideration of your article until this information has been declared. Please include your updated Competing Interests statement in your cover letter; we will change the online submission form on your behalf. 4. In your Data Availability statement, you have not specified where the minimal data set underlying the results described in your manuscript can be found. PLOS defines a study's minimal data set as the underlying data used to reach the conclusions drawn in the manuscript and any additional data required to replicate the reported study findings in their entirety. All PLOS journals require that the minimal data set be made fully available. For more information about our data policy, please see http://journals.plos.org/plosone/s/data-availability. Upon re-submitting your revised manuscript, please upload your study’s minimal underlying data set as either Supporting Information files or to a stable, public repository and include the relevant URLs, DOIs, or accession numbers within your revised cover letter. For a list of acceptable repositories, please see http://journals.plos.org/plosone/s/data-availability#loc-recommended-repositories. Any potentially identifying patient information must be fully anonymized. Important: If there are ethical or legal restrictions to sharing your data publicly, please explain these restrictions in detail. Please see our guidelines for more information on what we consider unacceptable restrictions to publicly sharing data: http://journals.plos.org/plosone/s/data-availability#loc-unacceptable-data-access-restrictions. Note that it is not acceptable for the authors to be the sole named individuals responsible for ensuring data access. We will update your Data Availability statement to reflect the information you provide in your cover letter. 5. We note that you have indicated that data from this study are available upon request. PLOS only allows data to be available upon request if there are legal or ethical restrictions on sharing data publicly. For more information on unacceptable data access restrictions, please see http://journals.plos.org/plosone/s/data-availability#loc-unacceptable-data-access-restrictions. In your revised cover letter, please address the following prompts: a) If there are ethical or legal restrictions on sharing a de-identified data set, please explain them in detail (e.g., data contain potentially sensitive information, data are owned by a third-party organization, etc.) and who has imposed them (e.g., an ethics committee). Please also provide contact information for a data access committee, ethics committee, or other institutional body to which data requests may be sent. b) If there are no restrictions, please upload the minimal anonymized data set necessary to replicate your study findings as either Supporting Information files or to a stable, public repository and provide us with the relevant URLs, DOIs, or accession numbers. For a list of acceptable repositories, please see http://journals.plos.org/plosone/s/data-availability#loc-recommended-repositories. We will update your Data Availability statement on your behalf to reflect the information you provide. Additional Editor Comments: Thank you very much for having submitted this paper for consideration. The reviewers raised some comments and in particular reviewer number 2. The following indications will help you to improve the quality of your paper. [Note: HTML markup is below. Please do not edit.] Reviewers' comments: Reviewer's Responses to Questions Comments to the Author 1. Is the manuscript technically sound, and do the data support the conclusions? The manuscript must describe a technically sound piece of scientific research with data that supports the conclusions. Experiments must have been conducted rigorously, with appropriate controls, replication, and sample sizes. The conclusions must be drawn appropriately based on the data presented. Reviewer #1: Yes Reviewer #2: Yes ********** 2. Has the statistical analysis been performed appropriately and rigorously? Reviewer #1: Yes Reviewer #2: Yes ********** 3. Have the authors made all data underlying the findings in their manuscript fully available? The PLOS Data policy requires authors to make all data underlying the findings described in their manuscript fully available without restriction, with rare exception (please refer to the Data Availability Statement in the manuscript PDF file). The data should be provided as part of the manuscript or its supporting information, or deposited to a public repository. For example, in addition to summary statistics, the data points behind means, medians and variance measures should be available. If there are restrictions on publicly sharing data—e.g. participant privacy or use of data from a third party—those must be specified. Reviewer #1: Yes Reviewer #2: Yes ********** 4. Is the manuscript presented in an intelligible fashion and written in standard English? PLOS ONE does not copyedit accepted manuscripts, so the language in submitted articles must be clear, correct, and unambiguous. Any typographical or grammatical errors should be corrected at revision, so please note any specific errors here. Reviewer #1: Yes Reviewer #2: Yes ********** 5. Review Comments to the Author Please use the space provided to explain your answers to the questions above. You may also include additional comments for the author, including concerns about dual publication, research ethics, or publication ethics. (Please upload your review as an attachment if it exceeds 20,000 characters) Reviewer #1: Azzalini et al. report an interesting study regarding the evaluation of the influence of the COVID-19 pandemic on temporal trends and outcomes of patients undergoing percutaneous coronary intervention (PCI) during the year 2020 compared to year before (2019). The topic is of high interest due the persistence of the COVID pandemic that is bringing the world health to its knees. Despite numerous previous manuscripts depicting differences in PCI volumes and outcomes between the pandemic and the pre-pandemic era this paper covers a longer period compared to initial reports that exclusively focused on the “first wave” of the pandemic. Furthermore, it gives in-depth insights on the outcomes of all-comers undergoing PCI before and during the COVID-19 pandemic, showing that the worse in-hospital outcomes are not exclusively related to the COVID infection itself but also probably to the “collateral damage” of the COVID-19 pandemic to the entire cardiac care system. The manuscript is well written, very interesting with a robust statistical methodology. Therefore, I do not have further revisions to propose. Reviewer #2: The aim of this retrospective, multicenter study was to assess outcomes of patients undergoing percutaneous coronary intervention (PCI) in Michigan during the COVID-19 pandemic in 2020 (between March and December), comparing them to outcomes in the same period of the previous year. The Authors used data from the Blue Cross Blue Shield of Michigan Cardiovascular Consortium (BMC2) PCI registry which included data from all the catheterization laboratories in Michigan. The Authors found a ~15% decrease in overall PCI volume from the pre-pandemic to the pandemic period; monthly mortality rates for primary PCI were in general higher in the pandemic period. Furthermore, patients undergoing PCI in the pre-pandemic period, those undergoing PCI in the pandemic period had a higher risk of death. This last finding was more pronounced in patients presenting with ST-segment elevation myocardial infarction (STEMI). The topic is interesting, the analyses are elegant and the manuscript clearly written. I have some considerations: • Monthly mortality rates for primary PCI were in general higher in the pandemic period, a finding that was however not related to clinically significant system delays in STEMI care. As already mentioned by the Authors, one of the possible interpretations is that patients tried to avoid contacting the emergency services for fear of entering the hospitals. Indeed, it is possible that predominantly patients with very severe symptomatology contacted the emergency services or went to the hospital. In this context, it is also possible that patients waited until they had an advanced clinical situation before asking for assistance. It is known that several patients who were not infected with COVID-19 suffered complications of myocardial infarction associated with late presentation. It would be interesting to add “pain-to-balloon” to the data shown. • It is important to note also the low absolute number of STEMIs and NSTEMIs in 2020 compared to 2019: perhaps another indication that many patients stayed home and only the most symptomatic called for rescue. • The authors performed outcome analyses using in-hospital mortality. Although the latter is widely used in the literature, I believe it would be more elegant and objective to use 30-day mortality, if it were available. ********** 6. PLOS authors have the option to publish the peer review history of their article (what does this mean?). If published, this will include your full peer review and any attached files. If you choose “no”, your identity will remain anonymous but your review may still be made public. Do you want your identity to be public for this peer review? For information about this choice, including consent withdrawal, please see our Privacy Policy. Reviewer #1: Yes: Gianmarco Iannopollo Reviewer #2: No [NOTE: If reviewer comments were submitted as an attachment file, they will be attached to this email and accessible via the submission site. Please log into your account, locate the manuscript record, and check for the action link "View Attachments". If this link does not appear, there are no attachment files.] While revising your submission, please upload your figure files to the Preflight Analysis and Conversion Engine (PACE) digital diagnostic tool, https://pacev2.apexcovantage.com/. PACE helps ensure that figures meet PLOS requirements. To use PACE, you must first register as a user. Registration is free. Then, login and navigate to the UPLOAD tab, where you will find detailed instructions on how to use the tool. If you encounter any issues or have any questions when using PACE, please email PLOS at figures@plos.org. Please note that Supporting Information files do not need this step. 29 Jun 2022 Reviewer #1: Azzalini et al. report an interesting study regarding the evaluation of the influence of the COVID-19 pandemic on temporal trends and outcomes of patients undergoing percutaneous coronary intervention (PCI) during the year 2020 compared to year before (2019). The topic is of high interest due the persistence of the COVID pandemic that is bringing the world health to its knees. Despite numerous previous manuscripts depicting differences in PCI volumes and outcomes between the pandemic and the pre-pandemic era this paper covers a longer period compared to initial reports that exclusively focused on the “first wave” of the pandemic. Furthermore, it gives in-depth insights on the outcomes of all-comers undergoing PCI before and during the COVID-19 pandemic, showing that the worse in-hospital outcomes are not exclusively related to the COVID infection itself but also probably to the “collateral damage” of the COVID-19 pandemic to the entire cardiac care system. The manuscript is well written, very interesting with a robust statistical methodology. Therefore, I do not have further revisions to propose. Thank you for your kind commentary. Reviewer #2: The aim of this retrospective, multicenter study was to assess outcomes of patients undergoing percutaneous coronary intervention (PCI) in Michigan during the COVID-19 pandemic in 2020 (between March and December), comparing them to outcomes in the same period of the previous year. The Authors used data from the Blue Cross Blue Shield of Michigan Cardiovascular Consortium (BMC2) PCI registry which included data from all the catheterization laboratories in Michigan. The Authors found a ~15% decrease in overall PCI volume from the pre-pandemic to the pandemic period; monthly mortality rates for primary PCI were in general higher in the pandemic period. Furthermore, patients undergoing PCI in the pre-pandemic period, those undergoing PCI in the pandemic period had a higher risk of death. This last finding was more pronounced in patients presenting with ST-segment elevation myocardial infarction (STEMI). The topic is interesting, the analyses are elegant and the manuscript clearly written. I have some considerations: • Monthly mortality rates for primary PCI were in general higher in the pandemic period, a finding that was however not related to clinically significant system delays in STEMI care. As already mentioned by the Authors, one of the possible interpretations is that patients tried to avoid contacting the emergency services for fear of entering the hospitals. Indeed, it is possible that predominantly patients with very severe symptomatology contacted the emergency services or went to the hospital. In this context, it is also possible that patients waited until they had an advanced clinical situation before asking for assistance. It is known that several patients who were not infected with COVID-19 suffered complications of myocardial infarction associated with late presentation. It would be interesting to add “pain to balloon” to the data shown. We agree with the reviewer that this is likely possibility. However we are not able ascertain this since the BMC2 database did not capture pain onset time and hence is unable to calculate the pain to balloon time. • It is important to note also the low absolute number of STEMIs and NSTEMIs in 2020 compared to 2019: perhaps another indication that many patients stayed home and only the most symptomatic called for rescue. This is indeed an important consideration, and it has been underlined in the discussion (page 18 and page 19). As the reviewer suggests, the lower number of ACS in 2020 might have been driven by the fact that patients tended to stay home for fear of contracting COVID-19 in the hospital: these considerations are discussed at the end of page 19. • The authors performed outcome analyses using in-hospital mortality. Although the latter is widely used in the literature, I believe it would be more elegant and objective to use 30-day mortality, if it were available. We agree with the reviewer that 30 day mortality can provide additional information compared with in hospital mortality. Unfortunately, the BMC2 registry collects only in-hospital data and all reported outcomes accordingly reflect in-hospital events. Submitted filename: Response to reviewersPLOShg.docx Click here for additional data file. 15 Aug 2022 Trends and outcomes of percutaneous coronary intervention during the COVID-19 pandemic in Michigan PONE-D-21-35320R1 Dear Dr. Gurm, We’re pleased to inform you that your manuscript has been judged scientifically suitable for publication and will be formally accepted for publication once it meets all outstanding technical requirements. Within one week, you’ll receive an e-mail detailing the required amendments. When these have been addressed, you’ll receive a formal acceptance letter and your manuscript will be scheduled for publication. An invoice for payment will follow shortly after the formal acceptance. To ensure an efficient process, please log into Editorial Manager at http://www.editorialmanager.com/pone/, click the 'Update My Information' link at the top of the page, and double check that your user information is up-to-date. If you have any billing related questions, please contact our Author Billing department directly at authorbilling@plos.org. If your institution or institutions have a press office, please notify them about your upcoming paper to help maximize its impact. If they’ll be preparing press materials, please inform our press team as soon as possible -- no later than 48 hours after receiving the formal acceptance. Your manuscript will remain under strict press embargo until 2 pm Eastern Time on the date of publication. For more information, please contact onepress@plos.org. Kind regards, Shukri AlSaif Academic Editor PLOS ONE Additional Editor Comments (optional): Reviewers' comments: Reviewer's Responses to Questions Comments to the Author 1. If the authors have adequately addressed your comments raised in a previous round of review and you feel that this manuscript is now acceptable for publication, you may indicate that here to bypass the “Comments to the Author” section, enter your conflict of interest statement in the “Confidential to Editor” section, and submit your "Accept" recommendation. Reviewer #1: All comments have been addressed Reviewer #2: All comments have been addressed ********** 2. Is the manuscript technically sound, and do the data support the conclusions? The manuscript must describe a technically sound piece of scientific research with data that supports the conclusions. Experiments must have been conducted rigorously, with appropriate controls, replication, and sample sizes. The conclusions must be drawn appropriately based on the data presented. Reviewer #1: Yes Reviewer #2: (No Response) ********** 3. Has the statistical analysis been performed appropriately and rigorously? Reviewer #1: Yes Reviewer #2: (No Response) ********** 4. Have the authors made all data underlying the findings in their manuscript fully available? The PLOS Data policy requires authors to make all data underlying the findings described in their manuscript fully available without restriction, with rare exception (please refer to the Data Availability Statement in the manuscript PDF file). The data should be provided as part of the manuscript or its supporting information, or deposited to a public repository. For example, in addition to summary statistics, the data points behind means, medians and variance measures should be available. If there are restrictions on publicly sharing data—e.g. participant privacy or use of data from a third party—those must be specified. Reviewer #1: Yes Reviewer #2: (No Response) ********** 5. Is the manuscript presented in an intelligible fashion and written in standard English? PLOS ONE does not copyedit accepted manuscripts, so the language in submitted articles must be clear, correct, and unambiguous. Any typographical or grammatical errors should be corrected at revision, so please note any specific errors here. Reviewer #1: Yes Reviewer #2: (No Response) ********** 6. Review Comments to the Author Please use the space provided to explain your answers to the questions above. You may also include additional comments for the author, including concerns about dual publication, research ethics, or publication ethics. (Please upload your review as an attachment if it exceeds 20,000 characters) Reviewer #1: Azzalini et al. report an interesting study regarding the evaluation of the influence of the COVID-19 pandemic on temporal trends and outcomes of patients undergoing percutaneous coronary intervention (PCI) during the year 2020 compared to year before (2019). The topic is of high interest due the persistence of the COVID pandemic that is bringing the world health to its knees. Despite numerous previous manuscripts depicting differences in PCI volumes and outcomes between the pandemic and the pre-pandemic era this paper covers a longer period compared to initial reports that exclusively focused on the “first wave” of the pandemic. Furthermore, it gives in-depth insights on the outcomes of all-comers undergoing PCI before and during the COVID-19 pandemic, showing that the worse in-hospital outcomes are not exclusively related to the COVID infection itself but also probably to the “collateral damage” of the COVID-19 pandemic to the entire cardiac care system. The manuscript is well written, very interesting with a robust statistical methodology. Therefore, I do not have further revisions to propose. Reviewer #2: (No Response) ********** 7. PLOS authors have the option to publish the peer review history of their article (what does this mean?). If published, this will include your full peer review and any attached files. If you choose “no”, your identity will remain anonymous but your review may still be made public. Do you want your identity to be public for this peer review? For information about this choice, including consent withdrawal, please see our Privacy Policy. Reviewer #1: Yes: Gianmarco Iannopollo Reviewer #2: No ********** 14 Sep 2022 PONE-D-21-35320R1 Trends and outcomes of percutaneous coronary intervention during the COVID-19 pandemic in Michigan Dear Dr. Gurm: I'm pleased to inform you that your manuscript has been deemed suitable for publication in PLOS ONE. Congratulations! Your manuscript is now with our production department. If your institution or institutions have a press office, please let them know about your upcoming paper now to help maximize its impact. If they'll be preparing press materials, please inform our press team within the next 48 hours. Your manuscript will remain under strict press embargo until 2 pm Eastern Time on the date of publication. For more information please contact onepress@plos.org. If we can help with anything else, please email us at plosone@plos.org. Thank you for submitting your work to PLOS ONE and supporting open access. Kind regards, PLOS ONE Editorial Office Staff on behalf of Dr. Shukri AlSaif Academic Editor PLOS ONE
Table 1

Clinical and procedural characteristics in the overall population.

Overall (n = 47,559)March-December 2019 Pre-pandemic (n = 25,737)March-December 2020 Pandemic (n = 21,822) p SMD (%)
Age (years)66.6±11.766.7±11.866.5±11.70.1351.4
Body mass index (kg/m2)30.7±7.230.7±7.430.7±7.11<0.001
Sex (male)32,239 (67.8%)17,417 (67.7%)14,822 (67.9%)0.5690.5
Race (black)4,829 (10.2%)2,570 (10.0%)2,259 (10.4%)0.1931.2
Diabetes mellitus19,556 (41.1%)10,587 (41.1%)8,969 (41.1%)0.009<0.001
Hypertension41,098 (86.4%)22,229 (86.4%)18,869 (86.5%)0.9390.3
Dyslipidemia39,218 (82.5%)21,007 (81.6%)18,211 (83.5%)<0.0014.9
Current smoker11,135 (23.4%)6,036 (23.5%)5,099 (23.4%)0.8330.2
Prior myocardial infarction15,359 (32.3%)8,329 (32.4%)7,030 (32.2%)0.7500.3
Prior PCI21,378 (45.0%)11,578 (45.0%)9,800 (44.9%)0.8510.2
Prior CABG7,605 (16.0%)4,157 (16.2%)3,448 (15.8%)0.3031.0
Peripheral arterial disease6,627 (13.9%)3,623 (14.1%)3,004 (13.8%)0.3380.9
Cerebrovascular disease7,739 (16.3%)4,155 (16.1%)3,584 (16.4%)0.4140.8
Chronic lung disease9,260 (19.5%)5,011 (19.5%)4,249 (19.5%)0.717<0.001
Chronic heart failure14,737 (31.0%)7,978 (31.0%)6,759 (31.0%)0.9470.1
Dialysis1,472 (3.1%)781 (3.0%)691 (3.2%)0.4210.8
Atrial fibrillation7,890 (16.6%)4,268 (16.6%)3,622 (16.6%)0.975<0.001
eGFR (ml/min/1.73 m2)70.7±24.070.9±23.970.6±24.00.2031.2
Hemoglobin (g/dl)13.4±2.013.4±2.013.4±2.1<0.0013.6
LVEF (%)51.2±14.051.3±14.051.1±14.10.1311.8
LVEF ≤35%4,979 (10.5%)2,640 (10.3%)2,339 (10.7%)0.1051.5
Presentation with NSTE-ACS19,585 (41.2%)10,865 (42.2%)8,720 (40.0%)<0.0014.6
Presentation with STEMI7,662 (16.1%)4,088 (15.9%)3,574 (16.4%)0.1481.3
Cardiovascular instability10,752 (22.6%)5,840 (22.7%)4,912 (22.5%)0.6450.4
Cardiac arrest581 (1.2%)337 (1.3%)244 (1.1%)0.0071.8
Radial access26,280 (55.3%)13,913 (54.1%)12,367 (56.7%)<0.0015.3
Multivessel disease21,578 (45.4%)11,682 (45.4%)9,896 (45.4%)0.9430.1
Left main PCI1,079 (2.7%)590 (2.7%)489 (2.7%)0.6780.4
Mechanical circulatory support1,731 (3.6%)930 (3.6%)801 (3.7%)0.7590.3
Type C lesion32,100 (67.5%)17,164 (66.7%)14,936 (68.4%)<0.0013.7
Dose-area product (Gy·cm2)104±176107±167101±185<0.0013.5
Air Kerma (Gy)1.4±1.41.5±1.41.4±1.4<0.0017.2
Contrast volume (ml)141±60144±61139±60<0.0018.5

Values are expressed as mean ± standard deviation, or n (%). Abbreviations: CABG, coronary artery bypass graft; eGFR, estimated glomerular filtration rate; LVEF, left ventricular ejection fraction; NSTE-ACS, non-ST-elevation acute coronary syndrome; PCI, percutaneous intervention; SMD, standardized mean difference; STEMI, ST-elevation myocardial infarction.

Table 2

In-hospital outcomes in the overall population.

Overall (n = 47,559)March-December 2019 Pre-pandemic (n = 25,737)March-December 2020 Pandemic (n = 21,822) p SMD (%)
Heart failure938 (2.0%)549 (2.2%)389 (1.8%)0.0052.6
Myocardial infarction246 (0.5%)151 (0.6%)95 (0.4%)0.0252.1
Cardiogenic shock804 (1.7%)432 (1.7%)372 (1.7%)0.8690.2
Acute kidney injury1,177 (3.2%)623 (3.1%)554 (3.4%)0.0562.0
New requirement for dialysis195 (0.4%)97 (0.4%)98 (0.4%)0.2511.1
Major bleeding461 (1.0%)255 (1.0%)206 (0.9%)0.6370.5
Transfusion1,238 (2.6%)671 (2.6%)567 (2.6%)0.9750.1
Tamponade71 (0.1%)37 (0.1%)34 (0.2%)0.8300.3
Stroke209 (0.4%)104 (0.4%)105 (0.5%)0.2311.2
Death879 (1.8%)435 (1.7%)444 (2.0%)0.0062.5

Values are expressed as n (%)

Table 3

Clinical and procedural characteristics in patients with a positive vs. negative COVID-19 test in the pandemic period.

Overall (n = 10,028)COVID-19 negative (n = 9,935)COVID-19 positive (n = 93) p SMD (%)
Age (years)66.9±11.767.0±11.766.0±13.10.4467.5
Body mass index (kg/m2)30.6±6.930.6±6.930.9±6.50.7193.9
Sex (male)6,681 (66.6%)6,615 (66.6%)66 (71.0%)0.4349.5
Race (black)1,164 (11.6%)1,141 (11.5%)23 (24.7%)<0.00134.9
Diabetes mellitus4,212 (42.0%)4,164 (41.9%)48 (51.6%)0.07519.5
Hypertension8,758 (87.3%)8,681 (87.4%)77 (82.8%)0.24212.9
Dyslipidemia8,408 (83.9%)8,335 (83.9%)73 (78.5%)0.20313.9
Current smoker2,269 (22.6)2,260 (22.7%)9 (9.7%)0.00436.0
Prior myocardial infarction3,255 (32.5%)3,232 (32.6%)23 (25.0%)0.15316.7
Prior PCI4,530 (45.2%)4,497 (45.3%)33 (35.5%)0.07320.1
Prior CABG1,625 (16.2%)1,614 (16.3%)11 (11.8%)0.31112.8
Peripheral arterial disease1,474 (14.7%)1,467 (14.8%)7 (7.5%)0.06923.2
Cerebrovascular disease1,713 (17.1%)1,703 (17.2%)10 (10.8%)0.13518.6
Chronic lung disease2,067 (20.6%)2,053 (20.7%)14 (15.1%)0.22814.7
Chronic heart failure3,440 (34.3%)3,415 (34.4%)25 (26.9%)0.15916.3
Dialysis358 (3.6%)355 (3.6%)3 (3.2%)11.9
Atrial fibrillation1,700 (17.0%)1,688 (17.0%)12 (12.9%)0.36511.5
eGFR (ml/min/1.73 m2)70.4±24.770.4±24.767.9±28.60.3299.5
Hemoglobin (g/dl)13.3±2.113.3±2.113.1±2.10.28411.3
LVEF (%)50.8±14.450.8±14.450.4±12.40.8163.5
LVEF ≤35%1,203 (12.0%)1,196 (12.0%)7 (7.5%)0.24115.2
Presentation with NSTE-ACS4,520 (45.1%)4,472 (45.0%)48 (51.6%)0.24313.2
Presentation with STEMI1,301 (13.0%)1,268 (12.8%)33 (35.5%)<0.00155.1
Cardiovascular instability*1,973 (19.7%)1,933 (19.5%)40 (43.0%)<0.00152.5
Cardiac arrest89 (0.9%)85 (0.9%)4 (4.3%)0.00321.9
Radial access5,470 (54.6%)5,434 (54.7%)36 (38.7%)0.00332.5
Multivessel disease4,666 (46.5%)4,614 (46.5%)52 (55.9%)0.08619.0
Left main PCI277 (3.3%)275 (3.3%)2 (2.4%)0.9005.2
Mechanical circulatory support395 (3.9%)387 (3.9%)8 (8.6%)0.04019.5
Type C lesion6,954 (69.3%)6,888 (69.3%)66 (71.0%)0.8203.6
Dose-area product (Gy·cm2)99±15999±159104±960.7763.8
Air Kerma (Gy)1.4±1.41.4±1.41.5±1.40.3789.4
Contrast volume (ml)139±60139±60146±590.26811.6

Values are expressed as mean ± standard deviation, or n (%).

* Cardiovascular instability includes: cardiogenic shock, hemodynamic instability, persistent ischemic symptoms, acute heart failure symptoms, ventricular arrhythmia, and refractory shock.

Abbreviations: CABG, coronary artery bypass graft; eGFR, estimated glomerular filtration rate; LVEF, left ventricular ejection fraction; NSTE-ACS, non-ST-elevation acute coronary syndrome; PCI, percutaneous intervention; SMD, standardized mean difference; STEMI, ST-elevation myocardial infarction.

Table 4

In-hospital outcomes in patients with a positive vs. negative COVID-19 test in the pandemic period.

Overall (n = 10,028)COVID-19 negative (n = 9,935)COVID-19 positive (n = 93) p SMD (%)
Heart failure163 (1.6%)159 (1.6%)4 (4.3%)0.10216.0
Myocardial infarction46 (0.5%)46 (0.5%)019.6
Cardiogenic shock143 (1.4%)141 (1.4%)2 (2.2%)0.8795.5
Acute kidney injury297 (3.9%)290 (3.9%)7 (8.8%)0.05020.3
New requirement for dialysis47 (0.5%)44 (0.4%)3 (3.2%)0.00220.8
Major bleeding87 (0.9%)85 (0.9%)2 (2.2%)0.43610.7
Transfusion294 (2.9%)286 (2.9%)8 (8.6%)0.00324.8
Tamponade16 (0.2%)16 (0.2%)015.7
Stroke60 (0.6%)60 (0.6%)00.93911.0
Death214 (2.1%)202 (2.0%)12 (12.9%)<0.00142.3

Values are expressed as n (%)

  29 in total

1.  Development of a multicenter interventional cardiology database: the Blue Cross Blue Shield of Michigan Cardiovascular Consortium (BMC2) experience.

Authors:  Eva Kline-Rogers; David Share; Diane Bondie; Bruce Rogers; Dean Karavite; Sherri Kanten; Patricia Wren; Cindy Bodurka; Cathy Fisk; John McGinnity; Susan Wright; Susan Fox; Kim A Eagle; Mauro Moscucci
Journal:  J Interv Cardiol       Date:  2002-10       Impact factor: 2.279

2.  The changing definition of contrast-induced nephropathy and its clinical implications: insights from the Blue Cross Blue Shield of Michigan Cardiovascular Consortium (BMC2).

Authors:  Nicklaus K Slocum; P Michael Grossman; Mauro Moscucci; Dean E Smith; Herbert D Aronow; Simon R Dixon; David Share; Hitinder S Gurm
Journal:  Am Heart J       Date:  2012-05       Impact factor: 4.749

Review 3.  Management of acute myocardial infarction during the COVID-19 pandemic: A Consensus Statement from the Society for Cardiovascular Angiography and Interventions (SCAI), the American College of Cardiology (ACC), and the American College of Emergency Physicians (ACEP).

Authors:  Ehtisham Mahmud; Harold L Dauerman; Frederick G P Welt; John C Messenger; Sunil V Rao; Cindy Grines; Amal Mattu; Ajay J Kirtane; Rajiv Jauhar; Perwaiz Meraj; Ivan C Rokos; John S Rumsfeld; Timothy D Henry
Journal:  Catheter Cardiovasc Interv       Date:  2020-05-13       Impact factor: 2.692

4.  Choice of Estimated Glomerular Filtration Rate Equation Impacts Drug-Dosing Recommendations and Risk Stratification in Patients With Chronic Kidney Disease Undergoing Percutaneous Coronary Interventions.

Authors:  Jessica Parsh; Milan Seth; Herbert Aronow; Simon Dixon; Michael Heung; Roxana Mehran; Hitinder S Gurm
Journal:  J Am Coll Cardiol       Date:  2015-06-30       Impact factor: 24.094

5.  A novel tool for reliable and accurate prediction of renal complications in patients undergoing percutaneous coronary intervention.

Authors:  Hitinder S Gurm; Milan Seth; Judith Kooiman; David Share
Journal:  J Am Coll Cardiol       Date:  2013-06-04       Impact factor: 24.094

6.  Percutaneous Coronary Intervention for Chronic Total Occlusion-The Michigan Experience: Insights From the BMC2 Registry.

Authors:  Hussein Othman; Milan Seth; Rami Zein; Howard Rosman; Thomas Lalonde; Hiroshi Yamasaki; Khaldoon Alaswad; Daniel Menees; Rajendra H Mehta; Hitinder Gurm; Edouard Daher
Journal:  JACC Cardiovasc Interv       Date:  2020-05-13       Impact factor: 11.195

7.  ST-Elevation Myocardial Infarction in Patients With COVID-19: Clinical and Angiographic Outcomes.

Authors:  Giulio G Stefanini; Matteo Montorfano; Daniela Trabattoni; Daniele Andreini; Giuseppe Ferrante; Marco Ancona; Marco Metra; Salvatore Curello; Diego Maffeo; Gaetano Pero; Michele Cacucci; Emilio Assanelli; Barbara Bellini; Filippo Russo; Alfonso Ielasi; Maurizio Tespili; Gian Battista Danzi; Pietro Vandoni; Mario Bollati; Lucia Barbieri; Jacopo Oreglia; Corrado Lettieri; Alberto Cremonesi; Stefano Carugo; Bernhard Reimers; Gianluigi Condorelli; Alaide Chieffo
Journal:  Circulation       Date:  2020-04-30       Impact factor: 29.690

8.  Reduced Rate of Hospital Admissions for ACS during Covid-19 Outbreak in Northern Italy.

Authors:  Ovidio De Filippo; Fabrizio D'Ascenzo; Filippo Angelini; Pier Paolo Bocchino; Federico Conrotto; Andrea Saglietto; Gioel Gabrio Secco; Gianluca Campo; Guglielmo Gallone; Roberto Verardi; Luca Gaido; Mario Iannaccone; Marcello Galvani; Fabrizio Ugo; Umberto Barbero; Vincenzo Infantino; Luca Olivotti; Marco Mennuni; Sebastiano Gili; Fabio Infusino; Matteo Vercellino; Ottavio Zucchetti; Gianni Casella; Massimo Giammaria; Giacomo Boccuzzi; Paolo Tolomeo; Baldassarre Doronzo; Gaetano Senatore; Walter Grosso Marra; Andrea Rognoni; Daniela Trabattoni; Luca Franchin; Andrea Borin; Francesco Bruno; Alessandro Galluzzo; Alfonso Gambino; Annamaria Nicolino; Alessandra Truffa Giachet; Gennaro Sardella; Francesco Fedele; Silvia Monticone; Antonio Montefusco; Pierluigi Omedè; Mauro Pennone; Giuseppe Patti; Massimo Mancone; Gaetano M De Ferrari
Journal:  N Engl J Med       Date:  2020-04-28       Impact factor: 91.245

9.  Impact of coronavirus disease 2019 (COVID-19) outbreak on outcome of myocardial infarction in Hong Kong, China.

Authors:  Chor-Cheung Frankie Tam; Kent-Shek Cheung; Simon Lam; Anthony Wong; Arthur Yung; Michael Sze; Jonathan Fang; Hung-Fat Tse; Chung-Wah Siu
Journal:  Catheter Cardiovasc Interv       Date:  2020-05-05       Impact factor: 2.585

Review 10.  Cardiovascular Considerations for Patients, Health Care Workers, and Health Systems During the COVID-19 Pandemic.

Authors:  Elissa Driggin; Mahesh V Madhavan; Behnood Bikdeli; Taylor Chuich; Justin Laracy; Giuseppe Biondi-Zoccai; Tyler S Brown; Caroline Der Nigoghossian; David A Zidar; Jennifer Haythe; Daniel Brodie; Joshua A Beckman; Ajay J Kirtane; Gregg W Stone; Harlan M Krumholz; Sahil A Parikh
Journal:  J Am Coll Cardiol       Date:  2020-03-19       Impact factor: 24.094

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.