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Cardiovascular complications in vascular connective tissue disorders after COVID-19 infection and vaccination

  • Anthony L. Guerrerio,

    Roles Conceptualization, Data curation, Formal analysis, Methodology, Visualization, Writing – original draft, Writing – review & editing

    Affiliation Division of Gastroenterology, Hepatology and Nutrition, Department of Pediatrics, Johns Hopkins University School of Medicine, Baltimore, Maryland, United States of America

  • Allyson Mateja,

    Roles Formal analysis, Methodology, Visualization, Writing – original draft, Writing – review & editing

    Affiliation Clinical Monitoring Research Program Directorate, Frederick National Laboratory for Cancer Research. Frederick, Maryland, United States of America

  • Gretchen MacCarrick,

    Roles Conceptualization, Writing – review & editing

    Affiliation McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, United States of America

  • Jonathan Fintzi,

    Roles Formal analysis, Methodology, Visualization, Writing – review & editing

    Affiliation Biostatistics Research Branch, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, Maryland, United States of America

  • Erica Brittain,

    Roles Formal analysis, Methodology, Visualization, Writing – review & editing

    Affiliation Biostatistics Research Branch, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, Maryland, United States of America

  • Pamela A. Frischmeyer-Guerrerio ,

    Contributed equally to this work with: Pamela A. Frischmeyer-Guerrerio, Harry C. Dietz

    Roles Conceptualization, Methodology, Resources, Writing – original draft, Writing – review & editing

    Affiliation The Laboratory of Allergic Diseases, National Institutes of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, Maryland, United States of America

  • Harry C. Dietz

    Contributed equally to this work with: Pamela A. Frischmeyer-Guerrerio, Harry C. Dietz

    Roles Conceptualization, Resources, Writing – review & editing

    hdietz@jhmi.edu

    Affiliations McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, United States of America, Howard Hughes Medical Institute, Chevy Chase, Maryland, United States of America

Abstract

Background

COVID-19 infection and vaccination have been reported to confer an elevated risk for cardiovascular events (CVE). We sought to determine whether individuals with an underlying vascular connective tissue disorder including Marfan syndrome (MFS), Loeys-Dietz syndrome (LDS), or vascular Ehlers Danlos syndrome (vEDS) are at increased risk for cardiac events after COVID-19 infection or vaccination.

Methods

325 respondents self-reported data through a cross-sectional, web-based survey available from 22 November 2021, through 15 March 2022 regarding COVID-19 illness and vaccinations, the occurrence of any CVE, and adverse events following vaccination. The data were analyzed using a Cox proportional hazards model with time varying indicators for COVID-19 illness/vaccination in the preceding 30 days.

Results

COVID-19 illness was significantly associated with an increased rate of a new abnormal heart rhythm 30 days following infection. No other CVEs were reported in the 90 days after COVID-19 illness. We did not find evidence of an increased rate of any CVE in the 30 days following any COVID-19 vaccination dose.

Conclusion

In respondents with MFS, LDS, or vEDS, we uncovered no evidence of an increase in CVEs in the 30 days following COVID-19 illness, with the possible exception of dysrhythmia. In light of the absence of a substantial increase in self-reported CVEs in the 30 days following COVID-19 vaccination, these data are in keeping with the recommendation from the Marfan Foundation Professional Advisory Board that all eligible persons be vaccinated for COVID-19.

Introduction

The heritable vascular connective tissue disorders Loeys-Dietz syndrome (LDS), Marfan syndrome (MFS), and vascular Ehlers-Danlos syndrome (vEDS) share a predisposition for arterial aneurysm, dissection, and/or rupture. Both structural and cellular signaling abnormalities in the arterial wall play a role in increasing the susceptibility for these vascular events [13]. While inflammation is a well-known factor in the development and susceptibility to rupture of non-genetic aortic aneurysms [4], emerging evidence indicates that inflammation may also play a role in the pathogenesis and progression of aortic aneurysms in the setting of genetic syndromes [5]. Cardiovascular manifestations have been recognized as a complication of SARS-CoV-2 infection and are the most-common non-pulmonary manifestation of infection [6, 7]. While the mechanism remains unclear, numerous studies have proposed an association between SARS-CoV-2 infection and new or worsening vascular disease including aneurysm formation, progression, dissection and/or rupture—prominently including involvement of the aorta and cerebral vasculature [810]. Furthermore, other forms of cardiovascular morbidity variably associated with COVID-19 illness or preventative immunization such as arrhythmia or myocardial or vasomotor dysfunction are more common in individuals with vascular connective tissue disorders compared to the general population [1113].

SARS-CoV-2 directly infects vascular endothelial cells through first attaching to the angiotensin-converting enzyme 2 (ACE2) receptor [14] leading to cellular damage and apoptosis of the endothelium [15, 16]. The resulting endothelial dysfunction promotes ischemia, inflammation and a procoagulant state [17]. While a significant body of research has investigated the pro-thrombotic effects of SARS-CoV-2 infection, there are also significant inflammatory effects as well as overexpression of many factors including vascular endothelial growth factor (VEGF), VEGF receptor 1 (Flt-1), intracellular adhesion molecule 1 (ICAM-1), matrix metalloproteinase 2 (MMP-2), platelet-derived growth factor (PDGF), TNFα, and TGFβ [18, 19]. Many of these molecules have been shown to play a role in aneurysm formation and progression in general and in heritable vascular connective tissue disorders specifically [2026], suggesting a mechanism for how infection might lead to aneurysm complications in these disorders.

Similar to SARS-CoV-2 infection, vaccines for COVID-19, while they provide protection against severe disease and death, have also been linked to an elevated risk of cardiovascular and cerebrovascular complications [2730]. On this basis, we posited that the local or systemic inflammatory response that can be seen with SARS-CoV-2 infection or immunization might have more frequent or severe cardiovascular sequelae in individuals with an underlying genetic predisposition for impaired cardiovascular homeostasis, as seen in MFS, LDS and vEDS.

In addition to the documented risk of cardiovascular complications, COVID-19 mRNA vaccinations initially appeared to have a low but elevated risk of inducing an anaphylactic reaction compared to other vaccines, with COVID-19 mRNA vaccines having 3.29–5.58 anaphylactic reactions/million doses [31, 32] compared to 1.3 anaphylactic reactions/million doses for other vaccines [33]. As patients with LDS have been shown to be at increased risk for allergic diseases [34], we also sought to determine if individuals with LDS were likely to have an allergic reaction to COVID-19 vaccines.

Previous work has examined the susceptibility to complications in hypermobile Ehlers-Danlos Syndrome (hEDS) to COVID-19 vaccination and illness [35]. However, there is no known underlying susceptibility in hEDS to vascular wall pathology as there is in MFS, LDS and vEDS, and no susceptibility to the development of allergies as in LDS(34); therefore, we conducted a separate analysis of this population.

Materials and methods

Study design and setting

This was a cross-sectional web-based survey. The survey questions are included as Appendix 1 (Data Dictionary). Respondents were asked to provide information regarding the following: 1) Diagnosis and demographics; 2) date of a COVID-19 positive test/diagnosis and disease severity; 3) dates/type of COVID-19 vaccination received; 4) symptoms and timing/treatment of symptoms after vaccination; 5) occurrence of any cardiovascular event (CVE). Respondents were asked to report CVEs that occurred between January 1, 2019, and the date of survey completion. CVEs were chosen as those reported in the literature as possibly related to COVID illness and vaccination as well as complications seen in connective tissue disorders as defined by a connective tissue disorders genetics expert and are listed in Table 1. Respondents were asked about seventeen post vaccination symptoms. For analysis, these were categorized into two classes: expected adverse events (EAE) and symptoms that suggested a possible allergic reaction (SSPAR—see Table 1). These symptoms were chosen for several reasons. First expected adverse events (EAE) were those symptoms asked during the COVID vaccine trials [36]. Given the high rate of allergic reactions reported to COVID vaccination, we also chose to ask subjects about symptoms that might be suggestive of allergic events. These symptoms were chosen to be consistent with the Second National Institute of Allergy and Infectious Disease/Food Allergy and Anaphylaxis Network (NIAID/FAAN) symposium definitions [37]. The questionnaire was reviewed by experts in connective tissue disorders, allergy, and REDCap questionnaire design and was implemented with pre-study testing.

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Table 1. Categories of events assessed by the questionnaire.

Cardiovascular events and symptoms after vaccination. Symptoms were categorized into Expected Adverse Events (EAE) and those that might be suggestive of an allergic reaction.

https://doi.org/10.1371/journal.pone.0315499.t001

Study and source population

A web-based survey was advertised through the Marfan Foundation website (serving the Marfan Foundation, Loeys-Dietz Syndrome Foundation, and the vEDS Movement) and made available from November 22, 2021, through March 15, 2022. Responses were not restricted based on ISP location, although participants were asked if they were located in the United States and questions indicated the study would be asking about vaccines available in the United States. Respondents could enter data for themselves and/or family members. Diagnoses were self-reported. Parents/guardians were instructed to fill out the survey for participants less than 18 years of age. During the survey period, COVID-19 vaccinations for younger children became available, and parents/guardians were asked to wait at least eight weeks after the second vaccination to fill out the survey for children less than 12 years of age.

Data collection tool and procedure

Advertised web address directed respondents to a REDCap [38, 39] based data collection tool into which respondents entered their own data.

Data quality control

Entries with no date entered for any event were removed. Participants were asked if they had ever entered data for the survey before. Those answering yes were further manually inspected and in the two cases they could be resolved due to repeated email/phone number and/or multiple exact dates of events. Respondents were asked to provide as much information regarding the date of events as they could recollect. When provided, the exact date was used for analysis. If only the month and year were provided, the date was imputed as the 15th of the month. If only the year was provided, the date was considered missing. If subjects were unable to provide the exact date but provided information that two events occurred in the same month, they were given the opportunity to temporally order the events. Data were excluded from analysis if COVID-19 illness was reported to occur prior to March 1, 2020; an event was specified to occur after the survey completion date; a vaccination was reported to occur prior to December 1, 2020; or two COVID-19 vaccinations were reported on the same day.

Ethical consideration

All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards. This study was approved by the Johns Hopkins institutional review board as exempt research under the DHHS regulations. As this was exempt research no specific consent was required, however the front matter to the survey contained the statement: “Answering the survey questions implies consent for participation in this study.”

Statistical analysis

To determine if COVID-19 illness or vaccination was associated with an increase in CVEs, we used a Cox proportional hazards model with time varying indicators for COVID-19 illness or vaccination in the previous 30 days. The dependent variable is a CVE. The independent variable is COVID-19 illness or vaccination in the previous 30 days. Evidence of an increase in CVEs in the 30 days following COVID-19 or vaccination was assessed via a Wald test of the estimated effect of each time-varying covariate. The start of the modeling period was January 1, 2019, and participants who did not experience a CVE were censored on the date of survey completion; all participants were censored by March 15, 2022. Hence, each respondent contributed either a CVE date or a censoring time to the data. The Cox model was fit separately for all CVEs, new abnormal heart rhythm, and the group of any CVE other than new abnormal heart rhythm (new aneurysm, new dissection, vascular rupture, myocarditis requiring hospitalization, cardiovascular surgery, or death). Analysis was performed using STATA [40] and R [41].

Results

Demographics

There were 336 respondents. After removing entries with no dated events and merging two respondents who provided duplicate submissions, 325 respondents provided data of sufficient quality for inclusion in analysis, including 118 with LDS (75 female), 176 with MFS (119 female), and 31 with vEDS (26 female) (Table 2). Subjects with other genetic aortic aneurysm syndromes did not respond in significant numbers and were excluded. The mean age (range) for LDS, MFS, and vEDS respondents was 36.8 (0.01–76.2), 37.1 (0.3–71.6) and 40.1 (9.9–72.1) years, respectively.

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Table 2. Summary of respondents’ demographics and COVID-19 illness/vaccination information.

This table reflects the counts of subjects that indicated in the survey that they had COVID-19 illness or received vaccine doses, regardless of whether or not a date was provided.

https://doi.org/10.1371/journal.pone.0315499.t002

COVID-19 illness

Ninety-five of the 325 participants reported a COVID-19 illness, including 37.3% (44/118) of those with LDS, 25.6% (45/176) with MFS, and19.4% (6/31) with vEDS. Of those 95, 93 were treated at home and two (both with LDS) were admitted to the hospital. Neither required intensive care unit admission.

COVID-19 vaccination

Number and dates of vaccinations.

At least one dose of a COVID-19 vaccine was received by 75.4% (89/118) respondents with LDS, 80.7% (142/176) with MFS, and 74.2% (23/31) with vEDS. 32% of the doses were manufactured by Moderna, 64% by Pfizer, 2% by Johnson and Johnson and 2% by an unknown/unspecified source.

Vaccination dose needed an assignable date to use that event for further analysis. A total of 254 subjects received vaccination dose 1 (191 knowing the exact date and 25 set to missing), 233 received dose 2 (174 knowing the exact date and 27 set to missing), and 137 received dose 3 (107 knowing the exact date and 11 set to missing).

Expected adverse events (EAEs) after vaccination.

Of the respondents who received at least one dose of a COVID-19 vaccine, 47.4% (154/254) reported at least one vaccination with an EAE, including 59.6% (53/89) of those with LDS, 61.3% (87/142) of those with MFS, and 60.9% (14/23) of those with vEDS. Taking into account multiple vaccinations per person, 38.2% (83/217) of vaccinations in LDS were followed by an EAE, 47.5% (168/354) in MFS, and 34.0% (18/53) in vEDS. The most common EAE reported was fatigue which occurred at a similar percentage across the different types of genetic syndromes studied. Respondents did not have a higher-than-expected number of any EAE compared to the general population [7] (Fig 1A).

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Fig 1.

(A) Percent of vaccine doses resulting in adverse events in respondents compared to the general population as reported in reference 8. (B) Percent of vaccine doses resulting in symptoms suggestive of a possible allergic reaction.

https://doi.org/10.1371/journal.pone.0315499.g001

Symptoms that suggest a possible allergic reaction (SSPAR) after vaccination.

When considering SSPAR, of the patients with a specific syndrome, 15.7% (14/89) of those with LDS, 15.5% (22/142) with MFS, and 13.0% (3/23) with vEDS reported at least one vaccination that was followed by a SSPAR. Considering separate vaccination events in each syndrome: 8.3% (18/217) of vaccinations in LDS respondents resulted in SSPAR, 8.5% (30/354) in MFS, and 7.5% (4/53) in vEDS (Fig 1B).

Given this study’s survey nature, no independent verification of allergic reaction or laboratory measurements (e.g., tryptase levels) were obtained. Thus, other variables were considered to determine if a described reaction was likely to represent an allergic reaction. IgE mediated reactions secondary to an injection typically occur in seconds to minutes, but in rare occasions can occur after 4–6 hours. Further, IgE mediated reactions are stereotypical and expected to occur with similar symptomatology with repeated exposure. Of the 18 SSPARs after vaccinations in respondents with LDS, two occurred within an hour of administration and six within six hours. Five of these reactions were not treated and three were treated with over-the-counter pain relievers or home remedies. No respondents with LDS had recurrence of the same SSPAR following multiple vaccinations. Among MFS respondents, eight SSPARs occurred within one hour and 11 within six hours of vaccination. Two patients with MFS developed rash and itching (treated with an antihistamine) within less than 1 hour of receiving the vaccine that recurred following a second vaccination. One MFS participant had two reactions with similar symptomatology at less than six hours (subjective tachycardia treated with an over-the-counter pain reliever at home). No other MFS subjects had the same SSPAR at multiple vaccinations. In the vEDS subgroup, one reaction developed within one hour and one within six hours, but neither participant experienced the same SSPAR after subsequent vaccinations.

Cardiovascular events (CVEs).

We next looked at CVEs in the survey group. There was a total of 89 CVEs reported in 71 participants from January 1, 2019, through March 15, 2022 (See Table 3). To use the reported CVEs for further analysis, respondents needed to supply an exact date or a partial date that could be resolved as described in the methods. 51 respondents supplied an exact date, 9 supplied at least a partial date that could be resolved, and 11 respondents did not supply any date for their CVE. This resulted in 60 respondents who had a CVE with a date assigned. Of these 60 CVEs, 14 occurred prior to the onset of the pandemic (before March 1, 2020), and 46 had a CVE that occurred after. The most common CVE (23 of the 89 CVEs) was new abnormal heart rhythms.

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Table 3. Cardiovascular events reported between January 1, 2019 and March 15, 2022.

A total of 89 CVEs were reported. However only 60 respondents reported a CVE’s with a date. Number of CVEs that had a date usable for analysis are listed in parentheses.

https://doi.org/10.1371/journal.pone.0315499.t003

Cox proportional hazards model analysis.

Occurrences of CVE, COVID-19 diagnosis, and vaccination are shown in Figs 2, 3 and Tables 46. 90% (54/60) of the subjects with a CVE that had a date assigned also had a vaccination with a date assigned. Report of COVID-19 illness was associated with a report of a new abnormal heart rhythm in the following 30 days compared to other time periods (p = 0.005; Table 7 Model 3). Although statistically significant, this result is driven by only two participants who reported a new abnormal heart rhythm within the 30-day period after having COVID-19. Of the 42 respondents with 90 days or less of follow-up after their COVID-19 illness, none reported CVEs other than new abnormal heart rhythms; the additional 50 respondents with less than 90 days follow-up after their illness also reported no such cases during their abbreviated follow-up. Hence, it was not possible to estimate an association between COVID-19 illness and CVEs other than new abnormal heart rhythms.

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Fig 2.

Respondents with (A) a reported CVE (ordered by time of CVE), (B) a reported positive COVID-19 test/diagnosis (ordered by time of COVID-19 positive test/diagnosis). Horizontal lines represent individual subjects, vertical lines separate months, and symbols denote when COVID (red), CVE (open blue: new abnormal heart rhythm; closed blue: other), vaccination (green; light to dark represents doses 1–3), and survey completion (tick mark) occurred. For example, the first row denotes a survey respondent with a CVE (other than new abnormal heart rhythm) in January 2019, two vaccines in January and February 2021, and survey completed in November 2021. This individual appears in the top line because they had the earliest CVE among the respondents.

https://doi.org/10.1371/journal.pone.0315499.g002

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Fig 3. Similar to Fig 2 but showing all respondents grouped by underlying genetic disorder.

Subjects are ordered in the following way: subjects with CVE and COVID, ordered by time of CVE; subjects with CVE only, ordered by time of CVE; subjects with COVID only, ordered by time of COVID, subjects without any CVE or COVID, with at least one dose of vaccine, ordered by time of survey completion). Horizontal lines represent individual subjects, vertical lines separate months, and symbols denote when COVID (red), CVE (open blue: new abnormal heart rhythm; closed blue: other), vaccination (green; light to dark represents doses), and survey completion (tick mark) occurred.

https://doi.org/10.1371/journal.pone.0315499.g003

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Table 4. Number of patients with CVEs (with identifiable dates) categorized by COVID illness and number of vaccine doses.

https://doi.org/10.1371/journal.pone.0315499.t004

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Table 5. Summary of the timing of new abnormal heart rhythms relative to COVID-19 illness and vaccination.

https://doi.org/10.1371/journal.pone.0315499.t005

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Table 6. Summary of the timing of CVEs other than new abnormal heart rhythm relative to COVID-19 illness and vaccination.

https://doi.org/10.1371/journal.pone.0315499.t006

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Table 7. Cox proportional hazards model results for COVID-19 illness or vaccination and CVEs.

There were no cases of CVEs other than new abnormal heart rhythm in the 90 days following illness, therefore it was not possible to estimate an association between COVID-19 illness and CVEs other than new abnormal heart rhythms.

https://doi.org/10.1371/journal.pone.0315499.t007

There was not a statistically-significantly increased rate of any CVE within one month after vaccination compared to other time periods. This was true whether CVEs were considered as a whole (Table 7 Model 1), as new abnormal heart rhythm considered alone (Table 7 Model 3), or as all CVEs other than new abnormal heart rhythm (Table 7 Model 2). The cohort of respondents who were vaccinated at some point did report CVEs at a higher rate than unvaccinated; however, this appears to be due, in part, to the correlation of greater age with vaccination. Vaccinated subjects had even greater excess CVE rates relative to unvaccinated subjects before vaccines were available than after (Table 8). Sensitivity analyses controlling for age did not appreciably change the estimated association between vaccination and CVEs (Tables 9 and 10).

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Table 8. Proportion of respondents with designated subset of CVEs in the given time period.

Pre-vaccine is defined as on or before 01/01/2021, and post-vaccine as after 01/01/2021. In this table the proportion of those who received multiple vaccines with CVEs is just as great (if not greater) in the pre-vaccine era than the post-vaccine era, supporting that the increase in CVEs in the vaccinated cohort is due to an inherently higher risk of CVE in participants who received vaccines (potentially due to increased age), as opposed to being caused by the vaccines.

https://doi.org/10.1371/journal.pone.0315499.t008

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Table 9. Sensitivity analysis based on age.

Cox proportional hazards model results for COVID-19 illness or vaccination and CVEs with binary age (greater than 12 years old on 1/1/2021) added as a covariate.

https://doi.org/10.1371/journal.pone.0315499.t009

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Table 10. Cox proportional hazards model results for age greater than 12 years old on 1/1/2021.

https://doi.org/10.1371/journal.pone.0315499.t010

Discussion

COVID-19 illness and vaccination has been associated with an increase in adverse cardiovascular outcomes, prompting concern that patients with underlying cardiovascular disease due to genetic causes may be at higher risk for these sequelae. Here, we evaluated the self-reported experiences with COVID-19 illness and vaccination in individuals with LDS, MFS, and vEDS and did not detect a signal that COVID-19 vaccination was more likely to lead to complications in the 30 days following vaccination in this population. Following COVID-19 illness, we did find an association of a new abnormal heart rhythm in the 30 days following reported COVID-19 illness, we we did not find an increased risk of any other CVEs. Whether the dysrhythmias were short-lived and situational or indicative of sustained pathology could not be ascertained from the survey nature of the study. Additionally, the association was based on relatively few events. While dysrhythmias are reported in patients hospitalized with COVID-19 [42], a definitive proarrhythmic effect of COVID-19 infection, outside of one associated with an acute illness, has not been conclusively shown [43, 44]. In those with long term symptoms after a COVID-19 infection, approximately 10% to two thirds report tachycardia/palpitations [4548]. In our study, there was no medical confirmation that the reported new abnormal heart rhythm was not simply a tachycardia (and if it was actual or just perceived) as a response to illness or a fever. There was the additional limitation that a new abnormal heart rhythm is more likely to be detected once someone is already receiving medical attention due to COVID-19, increasing the probability of finding an association as was seen in this study. Further, while our association was statistically significant, there were only two participants reporting a new abnormal heart rhythm within the 30-day period after having a COVID-19 illness. These limitations highlight a need for confirmatory evidence of this link.

The roll out of the COVID-19 vaccines was quickly complicated by high rates of reported anaphylactic reactions. Given the underlying predisposition of those with LDS to allergic disease, which has not been reported for MFS or vEDS, we hypothesized that a vaccine with a high allergenic potential may preclude its use in the LDS population. However, we found that respondents with all three connective tissue disorders reported similar rates of SSPAR, most of which were mild and self-limited. Based on the timing of symptoms following vaccination and their lack of recurrence in most cases following subsequent vaccination, most of the reported reactions across participants were unlikely to represent true allergic reactions. More recent studies have shown the rate of anaphylaxis to the COVID-19 mRNA vaccine to be more in line with traditional vaccines [49, 50]. Additional studies have suggested that some of the initial reactions described as anaphylactic may have been immunization stress–related responses [51, 52]. Reassuringly, our data therefore do not suggest that patients with vascular CTD are at greater risk for allergic reactions to the vaccine, including those with LDS.

While the study design did allow data collection on a much larger number of individuals than could be obtained by chart review at a single institution, this study is limited by the exclusive use of self-reported survey data, attendant recall bias, and ascertainment bias. Despite our original concerns and hypotheses, the number of actual CVEs was small. With our study design, we could reliably detect only a large increase in the rate of CVEs following vaccination, and we may have failed to find associations due to limited events, tempering our conclusions. Given that nearly all (98%) of respondents with a COVID-19 infection were treated at home, our study is not inconsistent with a study of veterans in which there was no increased risk of death beyond 6 months after infection among nonhospitalized COVID-19 infected patients [53]. The risk of repeated infection was not fully appreciated at the time of the survey and was not assessed. Since the completion of this study, the cumulative risks of repeat infection have been shown to contribute to an additional risk of death, increasing with the number of infections [54]. This study was not designed to evaluate if there is an increasing risk of CVEs with multiple COVID-19 infections over that seen in the general population.

Those who had a CVE resulting in death without a family member to report the event would be missed, which would result in an underestimation of the risk of a CVE associated with a COVID-19 illness and/or vaccination. However, if subjects who experienced CVEs or COVID-19 are more likely to complete the survey, this would result in an overestimation of the rate of CVE following COVID-19, increasing the likelihood of finding an association. Lastly, subjects might be more likely to respond to the survey if they have had more healthcare interactions. Thus, mild or asymptomatic cases of COVID-19 that escape being recognized with a positive test result would be underreported, again increasing the chance of finding an association of COVID illness and CVE. Despite these limitations, we found no evidence to discourage COVID-19 vaccination in this population.

While we did not uncover a temporal association between COVID-19 vaccination and CVEs, there was a higher rate of CVEs in those who had been vaccinated. This appears to result from a correlation of age and vaccination. Given the correlation of both aortic diameter with age and of aortic diameter with risk of a CVE in connective tissue disorders [55], the finding that older patients were more likely to have a CVE was not surprising. While we did allow caregivers to enter vaccination data for their children, vaccines for those less than 12 years old were available for less time than they were for adults, and COVID-19 vaccine uptake is correlated with age [56] making this association not unexpected, The association of both vaccination and CVE with age would have increased the chance of discovering an association between the two events, providing further reassurance that if a correlation between vaccination and CVEs exists, it is not large.

Finally, the rate of EAE following COVID-19 vaccination by respondents in our study was similar to (or lower than) the rate reported for the general population [36]. As a concern for serious side effect has been shown to be a significant contributor of vaccine hesitancy [57], this may help vaccine uptake in this population.

Conclusions

Despite these limitations, our data do not support that there is a substantial increase in self-reported CVEs in the 30 days following COVID-19 vaccination or illness, other than perhaps dysrhythmias following illness, and are in keeping with the recommendation from the Marfan Foundation Professional Advisory Board that all eligible persons be vaccinated for COVID-19.

Supporting information

S1 Fig. Cartoon representation.

Caption: A web-based survey was made available from November 22, 2021, through March 15, 2022, for those with Marfan Syndrome (MFS), Loeys-Dietz Syndrome (LDS), and vascular Ehlers Danlos Syndrome (vEDS) to enter information regarding their experience with COVID-19 illness, COVID-19 vaccination, and cardiovascular events. 325 respondents (118 with LDS, 176 with MFS, 31 with vEDS) responded to the survey. 254 respondents received a total of 624 vaccination doses, 95 of the respondents reported a COVID-19 illness, and 71 respondents reported a total of 89 cardiovascular events. Using a Cox proportional hazards model with time varying indicators for COVID-19 illness or vaccination, we found no evidence of an increase in CVEs in the 30 days following COVID-19 illness, with the possible exception of dysrhythmia. Following COVID-19 vaccination there was no evidence of an increase in self-reported CVEs in the 30 days post-vaccination.

https://doi.org/10.1371/journal.pone.0315499.s002

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Acknowledgments

Required disclaimer: This project was funded in whole or in part with federal funds from the National Institute of Allergy and Infectious Diseases (NIAID) and the National Cancer Institute, National Institutes of Health, under Contract No. 75N91019D00024. The content of this publication does not necessarily reflect the views or policies of the Department of Health and Human Services, nor does mention of trade names, commercial products, or organizations imply endorsement by the U.S. Government.

References

  1. 1. Bowen CJ, Calderon Giadrosic JF, Burger Z, Rykiel G, Davis EC, Helmers MR, et al. Targetable cellular signaling events mediate vascular pathology in vascular Ehlers-Danlos syndrome. J Clin Invest. 2020;130(2):686–98. pmid:31639107
  2. 2. Gallo EM, Loch DC, Habashi JP, Calderon JF, Chen Y, Bedja D, et al. Angiotensin II-dependent TGF-beta signaling contributes to Loeys-Dietz syndrome vascular pathogenesis. J Clin Invest. 2014;124(1):448–60.
  3. 3. Habashi JP, Judge DP, Holm TM, Cohn RD, Loeys BL, Cooper TK, et al. Losartan, an AT1 antagonist, prevents aortic aneurysm in a mouse model of Marfan syndrome. Science. 2006;312(5770):117–21. pmid:16601194
  4. 4. Golledge J. Abdominal aortic aneurysm: update on pathogenesis and medical treatments. Nat Rev Cardiol. 2019;16(4):225–42. pmid:30443031
  5. 5. Malecki C, Hambly BD, Jeremy RW, Robertson EN. The Role of Inflammation and Myeloperoxidase-Related Oxidative Stress in the Pathogenesis of Genetically Triggered Thoracic Aortic Aneurysms. Int J Mol Sci. 2020;21(20). pmid:33081376
  6. 6. Xie Y, Xu E, Bowe B, Al-Aly Z. Long-term cardiovascular outcomes of COVID-19. Nat Med. 2022;28(3):583–90. pmid:35132265
  7. 7. Gupta A, Madhavan MV, Sehgal K, Nair N, Mahajan S, Sehrawat TS, et al. Extrapulmonary manifestations of COVID-19. Nat Med. 2020;26(7):1017–32. pmid:32651579
  8. 8. Karakasis P, Nasoufidou A, Sagris M, Fragakis N, Tsioufis K. Vascular Alterations Following COVID-19 Infection: A Comprehensive Literature Review. Life (Basel). 2024;14(5). pmid:38792566
  9. 9. Ramandi A, Akbarzadeh MA, Khaheshi I, Khalilian MR. Aortic dissection and Covid-19; a comprehensive systematic review. Curr Probl Cardiol. 2023;48(6):101129. pmid:35139402
  10. 10. Silvestri V, Recchia GE. Aortic Pathology During COVID—19 Pandemics. Clinical Reports in Literature and Open Questions on the two Co-Occurring Conditions. Ann Vasc Surg. 2021;75:109–19. pmid:33823253
  11. 11. Loeys BL, Dietz HC. Loeys-Dietz Syndrome. In: Adam MP, Feldman J, Mirzaa GM, Pagon RA, Wallace SE, Bean LJH, et al., editors. GeneReviews((R)). Seattle (WA)1993.
  12. 12. Byers PH. Vascular Ehlers-Danlos Syndrome. In: Adam MP, Feldman J, Mirzaa GM, Pagon RA, Wallace SE, Bean LJH, et al., editors. GeneReviews((R)). Seattle (WA)1993.
  13. 13. Lazea C, Bucerzan S, Crisan M, Al-Khzouz C, Miclea D, Sufana C, et al. Cardiovascular manifestations in Marfan syndrome. Med Pharm Rep. 2021;94(Suppl No 1):S25-S7.
  14. 14. Chen L, Hao G. The role of angiotensin-converting enzyme 2 in coronaviruses/influenza viruses and cardiovascular disease. Cardiovasc Res. 2020;116(12):1932–6. pmid:32267499
  15. 15. Teuwen LA, Geldhof V, Pasut A, Carmeliet P. COVID-19: the vasculature unleashed. Nat Rev Immunol. 2020;20(7):389–91. pmid:32439870
  16. 16. Wichmann D, Sperhake JP, Lutgehetmann M, Steurer S, Edler C, Heinemann A, et al. Autopsy Findings and Venous Thromboembolism in Patients With COVID-19: A Prospective Cohort Study. Ann Intern Med. 2020;173(4):268–77. pmid:32374815
  17. 17. Bonetti PO, Lerman LO, Lerman A. Endothelial dysfunction: a marker of atherosclerotic risk. Arterioscler Thromb Vasc Biol. 2003;23(2):168–75. pmid:12588755
  18. 18. Ackermann M, Verleden SE, Kuehnel M, Haverich A, Welte T, Laenger F, et al. Pulmonary Vascular Endothelialitis, Thrombosis, and Angiogenesis in Covid-19. N Engl J Med. 2020;383(2):120–8. pmid:32437596
  19. 19. Verdecchia P, Cavallini C, Spanevello A, Angeli F. The pivotal link between ACE2 deficiency and SARS-CoV-2 infection. Eur J Intern Med. 2020;76:14–20. pmid:32336612
  20. 20. Xiong W, Meisinger T, Knispel R, Worth JM, Baxter BT. MMP-2 regulates Erk1/2 phosphorylation and aortic dilatation in Marfan syndrome. Circ Res. 2012;110(12):e92–e101. pmid:22550139
  21. 21. Hara H, Takeda N, Fujiwara T, Yagi H, Maemura S, Kanaya T, et al. Activation of TGF-beta signaling in an aortic aneurysm in a patient with Loeys-Dietz syndrome caused by a novel loss-of-function variant of TGFBR1. Hum Genome Var. 2019;6:6.
  22. 22. Tingting T, Wenjing F, Qian Z, Hengquan W, Simin Z, Zhisheng J, et al. The TGF-beta pathway plays a key role in aortic aneurysms. Clin Chim Acta. 2020;501:222–8.
  23. 23. Iwanczyk S, Lehmann T, Cieslewicz A, Radziemski A, Malesza K, Wrotynski M, et al. Involvement of Angiogenesis in the Pathogenesis of Coronary Aneurysms. Biomedicines. 2021;9(9). pmid:34572455
  24. 24. Szekanecz Z, Shah MR, Pearce WH, Koch AE. Intercellular adhesion molecule-1 (ICAM-1) expression and soluble ICAM-1 (sICAM-1) production by cytokine-activated human aortic endothelial cells: a possible role for ICAM-1 and sICAM-1 in atherosclerotic aortic aneurysms. Clin Exp Immunol. 1994;98(2):337–43. pmid:7955542
  25. 25. Xu B, Iida Y, Glover KJ, Ge Y, Wang Y, Xuan H, et al. Inhibition of VEGF (Vascular Endothelial Growth Factor)-A or its Receptor Activity Suppresses Experimental Aneurysm Progression in the Aortic Elastase Infusion Model. Arterioscler Thromb Vasc Biol. 2019;39(8):1652–66. pmid:31294623
  26. 26. Starke RM, Raper DM, Ding D, Chalouhi N, Owens GK, Hasan DM, et al. Tumor necrosis factor-alpha modulates cerebral aneurysm formation and rupture. Transl Stroke Res. 2014;5(2):269–77.
  27. 27. Cordero A, Cazorla D, Escribano D, Quintanilla MA, Lopez-Ayala JM, Berbel PP, et al. Myocarditis after RNA-based vaccines for coronavirus. Int J Cardiol. 2022;353:131–4. pmid:35074491
  28. 28. Klamer TA, Linschoten M, Asselbergs FW. The benefit of vaccination against COVID-19 outweighs the potential risk of myocarditis and pericarditis. Neth Heart J. 2022;30(4):190–7. pmid:35266090
  29. 29. Patone M, Mei XW, Handunnetthi L, Dixon S, Zaccardi F, Shankar-Hari M, et al. Risks of myocarditis, pericarditis, and cardiac arrhythmias associated with COVID-19 vaccination or SARS-CoV-2 infection. Nat Med. 2022;28(2):410–22. pmid:34907393
  30. 30. De Michele M, Kahan J, Berto I, Schiavo OG, Iacobucci M, Toni D, et al. Cerebrovascular Complications of COVID-19 and COVID-19 Vaccination. Circ Res. 2022;130(8):1187–203. pmid:35420916
  31. 31. Alhumaid S, Al Mutair A, Al Alawi Z, Rabaan AA, Tirupathi R, Alomari MA, et al. Anaphylactic and nonanaphylactic reactions to SARS-CoV-2 vaccines: a systematic review and meta-analysis. Allergy Asthma Clin Immunol. 2021;17(1):109. pmid:34656181
  32. 32. Macy E, Pandya S, Sheikh J, Burnette A, Shi JM, Chung J, et al. Population-Based Incidence, Severity, and Risk Factors Associated with Treated Acute-Onset COVID-19 mRNA Vaccination-Associated Hypersensitivity Reactions. J Allergy Clin Immunol Pract. 2022;10(3):827–36. pmid:34971845
  33. 33. McNeil MM, Weintraub ES, Duffy J, Sukumaran L, Jacobsen SJ, Klein NP, et al. Risk of anaphylaxis after vaccination in children and adults. J Allergy Clin Immunol. 2016;137(3):868–78. pmid:26452420
  34. 34. Frischmeyer-Guerrerio PA, Guerrerio AL, Oswald G, Chichester K, Myers L, Halushka MK, et al. TGFbeta receptor mutations impose a strong predisposition for human allergic disease. Sci Transl Med. 2013;5(195):195ra94.
  35. 35. Guerrerio AL, Mateja A, MacCarrick G, Fintzi J, Brittain E, Frischmeyer-Guerrerio PA, et al. Web-based survey investigating cardiovascular complications in hypermobile Ehlers-Danlos syndrome after COVID-19 infection and vaccination. PLoS One. 2024;19(3):e0298272. pmid:38512841
  36. 36. Haas JW, Bender FL, Ballou S, Kelley JM, Wilhelm M, Miller FG, et al. Frequency of Adverse Events in the Placebo Arms of COVID-19 Vaccine Trials: A Systematic Review and Meta-analysis. JAMA Netw Open. 2022;5(1):e2143955. pmid:35040967
  37. 37. Turner PJ, Worm M, Ansotegui IJ, El-Gamal Y, Rivas MF, Fineman S, et al. Time to revisit the definition and clinical criteria for anaphylaxis? World Allergy Organ J. 2019;12(10):100066. pmid:31719946
  38. 38. Harris PA, Taylor R, Minor BL, Elliott V, Fernandez M, O’Neal L, et al. The REDCap consortium: Building an international community of software platform partners. J Biomed Inform. 2019;95:103208. pmid:31078660
  39. 39. Harris PA, Taylor R, Thielke R, Payne J, Gonzalez N, Conde JG. Research electronic data capture (REDCap)—a metadata-driven methodology and workflow process for providing translational research informatics support. J Biomed Inform. 2009;42(2):377–81. pmid:18929686
  40. 40. StataCorp. Stata Statistical Software. Release 17 ed. College Station, TX: StataCorp LLC; 2021.
  41. 41. Team RC. A language and environment for statistical computing. 4.2.0 ed. Vienna, Austria.: R Foundation for Statistical Computing; 2021.
  42. 42. Mohammad M, Emin M, Bhutta A, Gul EH, Voorhees E, Afzal MR. Cardiac arrhythmias associated with COVID-19 infection: state of the art review. Expert Rev Cardiovasc Ther. 2021;19(10):881–9. pmid:34702128
  43. 43. Dewland TA, Marcus GM. SARS-CoV-2 infection and cardiac arrhythmias. Nat Cardiovasc Res. 2022;1(12):1109–10. pmid:36465413
  44. 44. Dewland TA, Whitman IR, Win S, Sanchez JM, Olgin JE, Pletcher MJ, et al. Prospective arrhythmia surveillance after a COVID-19 diagnosis. Open Heart. 2022;9(1). pmid:35058344
  45. 45. Davis HE, Assaf GS, McCorkell L, Wei H, Low RJ, Re’em Y, et al. Characterizing long COVID in an international cohort: 7 months of symptoms and their impact. EClinicalMedicine. 2021;38:101019. pmid:34308300
  46. 46. Huang C, Huang L, Wang Y, Li X, Ren L, Gu X, et al. 6-month consequences of COVID-19 in patients discharged from hospital: a cohort study. Lancet. 2021;397(10270):220–32. pmid:33428867
  47. 47. Huseynov A, Akin I, Duerschmied D, Scharf RE. Cardiac Arrhythmias in Post-COVID Syndrome: Prevalence, Pathology, Diagnosis, and Treatment. Viruses. 2023;15(2). pmid:36851603
  48. 48. Sudre CH, Murray B, Varsavsky T, Graham MS, Penfold RS, Bowyer RC, et al. Attributes and predictors of long COVID. Nat Med. 2021;27(4):626–31. pmid:33692530
  49. 49. Jaggers J, Wolfson AR. mRNA COVID-19 Vaccine Anaphylaxis: Epidemiology, Risk Factors, and Evaluation. Curr Allergy Asthma Rep. 2023;23(3):195–200. pmid:36689047
  50. 50. Maltezou HC, Anastassopoulou C, Hatziantoniou S, Poland GA, Tsakris A. Anaphylaxis rates associated with COVID-19 vaccines are comparable to those of other vaccines. Vaccine. 2022;40(2):183–6. pmid:34863620
  51. 51. Gold MS, MacDonald NE, McMurtry CM, Balakrishnan MR, Heininger U, Menning L, et al. Immunization stress-related response—Redefining immunization anxiety-related reaction as an adverse event following immunization. Vaccine. 2020;38(14):3015–20. pmid:32131975
  52. 52. Khalid MB, Zektser E, Chu E, Li M, Utoh J, Ryan P, et al. A randomized double-blinded trial to assess recurrence of systemic allergic reactions following COVID-19 mRNA vaccination. J Allergy Clin Immunol. 2024;153(6):1634–46. pmid:38460680
  53. 53. Bowe B, Xie Y, Al-Aly Z. Postacute sequelae of COVID-19 at 2 years. Nat Med. 2023;29(9):2347–57. pmid:37605079
  54. 54. Bowe B, Xie Y, Al-Aly Z. Acute and postacute sequelae associated with SARS-CoV-2 reinfection. Nat Med. 2022;28(11):2398–405. pmid:36357676
  55. 55. Jeremy RW, Huang H, Hwa J, McCarron H, Hughes CF, Richards JG. Relation between age, arterial distensibility, and aortic dilatation in the Marfan syndrome. Am J Cardiol. 1994;74(4):369–73. pmid:8059700
  56. 56. Vardavas C, Nikitara K, Aslanoglou K, Lagou I, Marou V, Phalkey R, et al. Social determinants of health and vaccine uptake during the first wave of the COVID-19 pandemic: A systematic review. Prev Med Rep. 2023;35:102319. pmid:37564118
  57. 57. Nzaji MK, Kamenga JD, Lungayo CL, Bene ACM, Meyou SF, Kapit AM, et al. Factors associated with COVID-19 vaccine uptake and hesitancy among healthcare workers in the Democratic Republic of the Congo. PLOS Glob Public Health. 2024;4(2):e0002772. pmid:38300940