ISSN: 1885-5857 Impact factor 2023 7.2
Vol. 75. Num. 1.
Pages 100-102 (January 2022)

Scientific letter
Cardiovascular events after COVID-19 hospitalization: long-term follow-up

Eventos cardiovasculares tras la hospitalización por COVID-19: seguimiento a largo plazo

Martín Negreira-CaamañoaJorge Martínez-Del RíoaDaniel Águila-GordoaCristina Mateo-GómezaMaeve Soto-PérezaJesús Piqueras-Floresab

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To the Editor,

Multiple deleterious cardiovascular effects produced by coronavirus disease 2019 (COVID-19) have been reported, affecting both the heart and the systemic vascular endothelium.1,2 This is reflected by the frequent and varied cardiovascular manifestations described in the acute phase of the disease.3,4 However, there are limited data on its manifestations in the mid- and long-term.

To analyze the cumulative incidence of major cardiovascular events (MACE) during the first year after hospitalization for COVID-19, we performed a prospective analysis of all patients discharged following COVID-19 hospitalization in a center of excellence between 10 March and May 4, 2020 and followed up until 18 April 2021. Patients were deemed to have COVID-19 on the basis of clinical signs and symptoms compatible with the disease and positive polymerase chain reaction for severe adult respiratory syndrome coronavirus type 2 (SARS-CoV-2).

MACE included acute coronary syndrome, cerebrovascular event, venous thromboembolic disease (VTED), hospitalization for heart failure, and cardiovascular death. Survival analysis was performed with a Kaplan-Meier model followed by Cox regression analysis that included the variables with a heterogeneous distribution between the groups with and without events to analyze the factors associated with events. The study was approved by a research ethics committee, who waived the need to obtain informed consent in light of the ongoing epidemic.

The analysis included 673 patients (53.9% men; mean age, 66.7±15.8 years). The prevalence of cardiovascular risk factors was high: 17.9% were smokers, 30.3% had diabetes, and 20.8% were obese. Among the different comorbidities analyzed, the most prevalent were cardiac comorbidities (23.1%).

The baseline population characteristics and the main details of the COVID-19 hospital admissions are reported in table 1.

Table 1.

Population characteristics

  Whole population (n=673)  Patients without combined event(n=633)  Patients with combined event (n=40)  P 
Baseline characteristics
Age, y  66.7±15.8  66.2±15.7  75.5±15.0  <.001 
Male sex  363 (53.9)  343 (54.2)  20 (50.0)  .606 
Hypertension  363 (53.9)  338 (53.4)  25 (62.5)  .263 
Diabetes mellitus  125 (18.6)  117 (18.5)  8 (20.0)  .815 
Dyslipidemia  238 (35.4)  221 (34.9)  22 (42.1)  .330 
Smoking  94 (14.0)  88 (13.9)  6 (15.0)  .846 
Obesity  99 (14.7)  94 (14.9)  5 (12.5)  .681 
Ischemic heart disease  52 (7.7)  45 (7.1)  7 (17.5)  .017 
Heart failure  50 (7.4)  41 (6.5)  9 (22.5)  <.001 
Atrial fibrillation  54 (8.0)  46 (7.3)  8 (20.0)  .004 
Cerebrovascular disease  46 (6.5)  39 (6.2)  12 (17.5)  .022 
Dementia  43 (6.4)  35 (5.5)  8 (20.0)  <.001 
Liver disease  16 (2.4)  14 (2.2)  2 (5.0)  .264 
Chronic kidney disease  54 (8.0)  47 (7.4)  7 (17.5)  .023 
Renal replacement therapy  7 (1.1)  6 (1.0)  1 (2.5)  .451 
Chronic obstructive pulmonary disease  39 (5.8)  31 (4.9)  8 (20.0)  <.001 
Asthma  30 (4.5)  28 (4.4)  2 (4.8)  .864 
OSAHS  42 (6.3)  41 (6.5)  1 (2.4)  .312 
History of cancer  55 (8.1)  49 (7.8)  6 (14.0)  .266 
Previous institutionalization  107 (15.9)  93 (14.7)  24 (35.0)  .001 
Variables relating to COVID-19 admission
Duration of symptoms before admission        .090 
<7 days  378 (56.2)  349 (66.5)  29 (71.8)   
>7 days  280 (41.6)  269 (43.5)  11 (28.2)   
Unknown  15 (2.2)  15 (2.5)   
CURB-65 score  0.98±0.9  0.88±0.9  1.57±0.8  .003 
Radiological pattern        .356 
No infiltrate  9 (1.3)  9 (1.4)   
Unilateral infiltrate  167 (24.8)  154 (25.6)  13 (35.1)   
Bilateral infiltrate  462 (68.6)  438 (72.8)  24 (64.9)   
Other  26 (3.8)  22 (2.2)  4 (11.7)   
ARDS during admission        .024 
No  316 (47.4)  300 (49.1)  16 (29.1)   
Mild  21 (38.2)  157 (25.7)  21 (38.2)   
Moderate  17 (30.9)  133 (21.8)  17 (30.9)   
Severe  22 (3.3)  21 (3.4)  1 (1.8)   
Need for IMV  16 (2.4)  14 (2.3)  2 (3.7)  .522 
Acute renal failure during admission  77 (11.5)  64 (10.4)  13 (23.6)  .003 
Hospital stay, d  9.3±6.2  9.2±6.1  11.1±6.7  .060 

ARDS, adult respiratory distress syndrome; CURB-65, score based on the presence of confusion, blood urea level, respiratory rate, blood pressure, and age>65 years; IMV, invasive mechanical ventilation; OSAHS, obstructive sleep apnea/hypopnea syndrome.

Values are expressed as No. (%) or mean±standard deviation.

Most of the patients were symptomatic for at least 1 week before their admission (56.2%), and the most common radiological pattern was bilateral consolidation (72.6%). During hospital stay, most of the patients had some degree of acute dyspnea, although only 2.4% required invasive mechanical ventilation. All patients received some form of treatment for the infection, the most common being hydroxychloroquine (93.3%). The mean hospital stay was 9.3±6.2 days.

After a follow-up of 352.2±70.4 days, the combined event occurred in 40 patients (5.9%). One third of the events occurred during the first 30 days after hospital discharge, with a median time to first event of 74.0 [range, 26-274] days.

Independently, the most common cardiovascular event during follow-up was hospitalization for heart failure (3.3%), while 0.7% had acute coronary syndrome.

Although most of the events were late (more than 1 month after hospitalization), 75% of the cases of VTED occurred in the first 30 days, with a median time to event of 18.5 [5-100] days. Of note, 62.5% of the cases of VTED were pulmonary thromboembolisms, all of them occurring early after hospitalization, with a median 7.0 [3-29] days until the event.

Thirty-six patients (5.3%) died during follow-up, although cardiovascular mortality was low (0.7%). The events recorded during follow-up are shown in figure 1.

Figure 1.

Cumulative incidence of events during follow-up. ACS, acute coronary syndrome; CVE, cerebrovascular event; VTED, venous thromboembolic disease. * In the first 30 days after hospitalization. gr1.

(0.51MB).

A history of dementia (hazard ratio=3.06, 95% confidence interval, 1.16-8.08; P=.024) and history of chronic obstructive pulmonary disease (hazard ratio=4.11; 95% confidence interval, 1.64-10.30; P=.003) were independently associated with the occurrence of the combined event.

The main finding was the increased incidence of cardiovascular events after hospitalization: 1 in every 16 patients hospitalized for COVID-19 had a MACE in the first year after admission and one third of these occurred during the first 30 days. Admission for heart failure was the most common event after COVID-19 admission, and VTED, particularly pulmonary embolism, was the earliest.

These data further highlight the association between COVID-19 and cardiovascular disease. Although further studies are needed to obtain more detail on the pathophysiological basis for this association, some studies have revealed a high prevalence of structural myocardial damage in the months following the infection.5 In addition, the short time until the onset of VTED is in line with the existing evidence, which has described a high association of venous events in these patients.6 These data lend plausibility to the hypothesis that SARS-CoV-2 acts as a modifying factor of cardiovascular disease, analogous to the interaction of other more studied agents such as the influenza virus. However, more detailed studies on the long-term cardiovascular effect of the virus are needed to allow characterization of the underlying pathophysiological mechanisms.

FUNDING

The authors declare that they have received no external funding for this study.

AUTHORS’ CONTRIBUTIONS

All authors made a substantial contribution to this manuscript, in terms of writing (M. Negreira-Caamaño; J. Piqueras-Flores), design (M. Negreira-Caamaño; J. Martínez-Del Río; D. Águila-Gordo; C. Mateo-Gómez), execution (M. Negreira-Caamaño; J. Martínez-Del Río; D. Águila-Gordo; C. Mateo-Gómez; M. Soto-Pérez; J. Piqueras-Flores), data collection (M. Negreira-Caamaño; J. Martínez-Del Río; D. Águila-Gordo; C. Mateo-Gómez; M. Soto-Pérez; J. Piqueras-Flores) and data analysis (M. Negreira-Caamaño; J. Martínez-Del Río; D. Águila-Gordo; C. Mateo-Gómez; D. Águila-Gordo).

CONFLICTS OF INTEREST

The authors declare no conflicts of interest in relation to the present study.

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