key: cord-1000279-q4vy1do6 authors: Hir, Anne-Sophie Le; Fayol, Antoine; Mousseaux, Elie; Danchin, Nicolas; Tea, Victoria; Chamandi, Chekrallah; Soulat, Gilles; Puymirat, Etienne title: Coronary artery calcifications and 6-month mortality in patients with COVID-19 without known atheromatous disease date: 2022-03-04 journal: Arch Cardiovasc Dis DOI: 10.1016/j.acvd.2022.02.007 sha: 1d5b4ad207f6122600c43d611334ed21934991c4 doc_id: 1000279 cord_uid: q4vy1do6 Background: Coronary artery calcium (CAC) is an independent risk factor for major adverse cardiovascular events; however, its impact on coronavirus disease 2019 (COVID-19) mortality remains unclear, especially in patients without known atheromatous disease. Aims: To evaluate the association between CAC visual score and 6-month mortality in patients without history of atheromatous disease hospitalized with COVID-19 pneumonia. Methods: A single-centre observational cohort study was conducted, involving 293 consecutive patients with COVID-19 in Paris, France, between 13 March and 30 April 2020, with a 6-month follow-up. Patients with a history of ischaemic stroke or coronary or peripheral artery disease were excluded. The primary outcome was all-cause mortality at 6 months according to CAC score, which was assessed by analysing images obtained after the first routine non-electrocardiogram-gated computed tomography scan performed to detect COVID-19 pneumonia. Results: A total of 251 patients (mean age 64.8 ± 16.7 years) were included in the analysis. Fifty-one patients (20.3%) died within 6 months. The mortality rate increased with the magnitude of calcifications, and was 10/101 (9.9%), 15/66 (22.7%), 10/34 (29.4%) and 16/50 (32.0%) for the no CAC, mild CAC, moderate CAC and heavy CAC groups, respectively (P = 0.004). Compared with the no calcification group, adjusted risk of death increased progressively with CAC: hazard ratio (HR) 2.37 (95% confidence interval [CI] 1.06–5.27), HR 3.1 (95% CI 1.29–7.45) and HR 4.02 (95% CI 1.82–8.88) in the mild, moderate and heavy CAC groups, respectively. Conclusions: Non-electrocardiogram-gated computed tomography during the initial pulmonary assessment of patients with COVID-19 without atherosclerotic cardiovascular disease showed a high prevalence of mild, moderate and heavy CAC. CAC score was related to 6-month mortality, independent of conventional cardiovascular risk factors. These results highlight the importance of CAC scoring for patients hospitalized with COVID-19, and calls for attention to patients with high CAC. J o u r n a l P r e -p r o o f 5 Coronavirus disease 2019 is caused by infection with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The outbreak has gradually developed into a pandemic, and has endangered global health. In this health crisis, early risk stratification of severe forms of COVID-19 is essential. Patients with underlying cardiovascular disease have been identified as being at higher risk of severe forms of COVID-19, which have high mortality rates [1, 2] . In contrast, among patients with no previous atherosclerotic cardiovascular disease (ASCVD), risk stratification remains to be clarified. Atherosclerotic plaque formation can be considered as the intermediary between lifetime exposure to risk factors and clinical events, and can be detected through imaging at a preclinical stage. The amount of coronary artery calcium (CAC), a specific marker of coronary atherosclerosis, correlates with coronary atherosclerotic plaque burden, and appears to reflect the cumulative effects of risk factors and vascular aging [3] . Detection of CAC is considered to play a major role in the primary prevention of coronary artery disease [4] , as the existence, extent and progression of CAC has been recognized as an important predictor of cardiovascular events and all-cause mortality in the general population [5, 6] . In the management of COVID-19, low-dose chest computed tomography (CT) is regularly performed to confirm the diagnosis, to stage the severity of the disease and to recognize possible complications [7] . As well as evaluation of the lungs, low-dose chest CT allows for a visual assessment of the heart and coronary vessels. The most commonly used grading for clinical quantification of CAC is the Agatston score [8] , which requires standardized acquisition and dedicated software to obtain a reliable score. In an easier way, global visual assessment of the CAC score is achievable on all nonelectrocardiogram-gated and non-contrast low-dose CT scans. This visual assessment is an effective, simple and fast method, strongly suggested by several societies for routine reporting, to separate patients into risk categories for either coronary heart disease death or all-cause mortality [9] [10] [11] [12] . The question remains whether this visual quantification of CAC can be used to identify, in a patient population without known atheromatous disease, those who are most likely to develop severe forms of COVID-19. Data regarding this specific population are still scarce. J o u r n a l P r e -p r o o f 6 The purpose of this study was to evaluate the association between CAC score assessed by lowdose chest CT in patients without known ASCVD and all-cause mortality within 6 months of hospital admission for COVID-19. A single-centre observational cohort study was conducted at Georges Pompidou European Hospital, a tertiary teaching hospital in Paris (France). All adult patients (aged ≥ 18 years) who required hospitalization for at least 48 hours between 13 March and 30 April 2020 for COVID-19, confirmed by reverse transcription-polymerase chain reaction, and with a chest CT scan at admission were eligible. Patients with a history of ischaemic stroke, coronary artery disease or peripheral artery disease (i.e. ASCVD) were excluded. This study is part of the French COVID cohort study (a prospective cohort study conducted to determine COVID-19 physiopathology; ClinicalTrials.gov identifier: NCT04262921). All patients provided written informed consent before enrolment, and were informed that their medical data could be used for research purposes in accordance with the General Data Protection Regulation (EU 2016/679). Data were collected from the centre's electronic medical records, and included patient demographic characteristics (age and sex), cardiovascular risk factors, past medical history, presenting vital signs and symptoms, laboratory findings, treatment before admission, complications and outcomes. Cardiovascular risks factors were defined using international recommendations, and obesity was defined as body mass index > 30 kg/m² [13] . From the medical history collected, we grouped both active cancers and those in remission in the cancer category. Participants were followed up by telephone by local trial personnel at the end of October 2020, after at least a 6-month period for all patients. 7 All low-dose chest CT scans were performed on the same multi-row system (Somatom Definition Edge, Siemens, Munich, Germany), and were obtained from the lung apices to the bases in a single breath hold at maximum inspiration without electrocardiogram gating [14] . Each of the five lung lobes was assessed for the presence (counting for 1 point) or absence (counting for 0 points) of COVID-19 damage, defined by either ground-glass opacities or consolidation or both. By adding the visual scores of the five lobes per patient, the total severity score was estimated over a range from 0 to 5. As described in our previous study [15] , quantification of CAC was performed using standard mediastinal parameters (width, 350 Hounsfield units; level, 50 Hounsfield units), and according to the guidelines for CAC scoring of non-contrast non-cardiac chest CT scans [10] . Calcium scoring was performed independently of care by two radiologists with expertise in cardiothoracic imaging, who were blinded from all clinical data, biology and initial chest CT analysis. After a visual CAC assessment, the radiologists provided a score in four categories: none, mild, moderate and heavy CAC. The detailed method is described in the Appendix. For each patient, a biological workup, including complete blood count, ionogram, creatinine, C-reactive protein, brain natriuretic peptide and troponin, was collected at admission. The high-sensitivity troponin I value at admission and the peak value were recorded. Myocardial injury was defined by elevated cardiac troponin concentrations above the 99th percentile upper reference limit. Myocardial infarction was defined as a significant modification of the electrocardiogram, associated with an elevation of troponin I value or typical chest pain. Cardioprotective treatments assessed in this study were antiplatelet therapies (aspirin 75 mg or 100 mg or clopidogrel 75 mg per day), statins, renin-angiotensin system (RAS) blockers (including and beta-blockers used for chronic heart failure (carvedilol, metoprolol, bisoprolol and nebivolol). We categorized patients into three groups according to their initial medication: those naive of any cardioprotective treatment, those taking only one drug and those taking two or more drugs. Patients taking a combination of treatments in a single galenic form (e.g. a combination of an ACE inhibitor and beta-blocker in one pill) were counted as taking two cardioprotective treatments. The primary outcome was all-cause mortality, including in-and out-of-hospital deaths, within 6 months following hospital admission, according to CAC scoring. Secondary outcomes included 6-month mortality according to myocardial injury (defined by elevated cardiac troponin concentrations above the 99th percentile upper reference limit), and according to number of cardioprotective treatments used before admission, to determine whether these therapies might have a beneficial role in preventing mortality in patients with COVID-19. Groups were compared by analysis of variance for continuous variables and  2 tests for categorical variables. Hazard ratios (HRs) are presented with their 95% confidence intervals (CI). Survival curves were estimated using Kaplan-Meier estimators, and were compared according to CAC scores using log-rank tests. The rates of all-cause mortality at 6 months were analysed according to CAC scores, and the impact of CAC was evaluated using a multivariable backward stepwise Cox analysis, Of the 293 patients hospitalized for COVID-19 during the 1.5-month recruitment period, 251 with available medical information and thoracic CT scans were included in the present analysis. Baseline characteristics are presented in Table 1 A total of 109 patients (43.4%) were receiving at least one cardioprotective treatment before admission: 38 (15.1%) were being treated with a statin, 25 (10.0%) with aspirin, 62 (24.7%) with a RAS blocker (ACE inhibitor or ARB) and 40 (15.9%) with a beta-blocker. Among the 43 patients receiving two or more treatments, RAS blockers were prescribed in a large majority (72.1%), followed by statins (62.8%), beta-blockers (51.2%) and aspirin (44.2%). Those who received two or more treatments were older (59.9 vs 72 years; P < 0.0001) and had more co-morbidities, such as dyslipidaemia (67.4% vs 6.3%; P < 0.0001), diabetes (37.2% vs 13.4%; P = 0.002), hypertension (86.1% vs 15.5%; P < 0.0001), atrial fibrillation (4.7% vs 0.7%; P < 0.0001) and chronic renal insufficiency (23.3% vs, 1.4%; P < 0.0001). Finally, statins, aspirin, RAS blockers and beta-blockers were more prescribed before hospitalization in patients with heavy CAC than in patients without CAC. Laboratory findings are presented in Table 1 ; they were balanced between categories, except for cardiac biomarkers (i.e. brain natriuretic peptide and troponin concentration), which increased as the CAC burden grew. Myocardial injury affected 116 patients (46.2%) in our study and increased progressively according to CAC score (P < 0.001) ( Table 2 , Fig.1 ). In this group, the mean age was significantly higher than in the non-myocardial injury group (70.8 vs 59.7 years; P < 0.0001). Patients with myocardial injury had significantly more co-morbidities, such as hypertension (50.9% vs 33.8%), atrial fibrillation (9.5% vs 3.0%) and chronic renal disease (14.7% vs 4.4%), than the non-myocardial injury group. As a result, the number of prescriptions for curative anticoagulation, RAS blockers, ACE inhibitors, ARBs, beta-blockers, calcium channel blockers and diuretics was higher in the myocardial injury group. Fig. 2 ). In this model, pulmonary extent of COVID-19 pneumonia was also associated with higher mortality (HR 2.5, 95% CI 1.06-5.91). Consistent trends were found using several sensitivity analyses: CAC was still associated with 6-month mortality after adjustment for cardiovascular risk factors, myocardial injury and cardioprotective treatments (Table 3) . After excluding patients with atrial fibrillation (n = 9), valvular disease (n = 8) and previous venous thromboembolism disease (n = 11), we found similar results for the primary outcome (data not shown). In the myocardial injury group, hospitalizations were complicated with episodes of heart failure for 13 patients (11.2%), compared with one patient (0.7%) in the non-myocardial injury group (P = 0.0004), and 24 patients (10.4%) had rhythm disorders, compared with two patients (1.4%) in the nonmyocardial injury group (P < 0.0001) ( Table 2) . When troponin was elevated, mortality was significantly higher. Indeed, we reported 43 deaths (37.1%) in the myocardial injury group compared with only eight deaths (5.9%) in the non-myocardial injury group (P < 0.0001). Deaths occurred early in most cases, before the 30th day (Fig. A.1) . In a multivariable analysis with a Cox proportional hazards model of mortality, myocardial injury was an independent predictor of mortality (HR 5.73, 95% CI 2.63-12.48) ( Table 3) . Using non-adjusted analysis, we found no difference in mortality between groups according to their use of cardioprotective treatments: 10 deaths occurred in the group using two or more treatments (23.3%), 14 in the group using one treatment (21.2%) and 27 in the no-treatment group (19%) (P = 0.81) (Fig. A.2) . Results were consistent concerning complications during hospitalization (P = 0.52 for number of heart failure episodes; P = 0.25 for rhythm disorders). Interestingly, in a multivariable Cox regression analysis of mortality, undergoing one or more cardioprotective therapies was an independent protective factor (HR 0.67, 95% CI 0.46-0.97) ( Table 3 ). Previously, using the same methodology, we showed that the CAC visual score obtained on nongated thoracic CT scans in all patients with COVID-19 pneumonia (i.e. primary and secondary prevention) was an independent predictor of 6-month mortality. The objective of the present analysis was to demonstrate this association in patients without ASCVD, to define high-risk patients in this population according to CAC score [15] . The main finding of our study is that the CAC visual score seems to be an independent predictor of 6-month mortality in patients hospitalized for COVID-19 without known ASCVD. Patients with higher CAC burden had a higher risk of death, regardless of the extent of lung damage, cardiovascular risk factors, the presence of myocardial injury and the use of cardioprotective treatments. This finding is consistent with the results of two studies published in 2021 that explored the influence of CAC on the prognosis of COVID-19 in this specific population without known coronary artery disease. The first was a multicentre retrospective cohort study involving 2067 patients; it reported that high CAC was a risk factor associated with in-hospital death and adverse clinical outcomes in patients with confirmed COVID-19 [16] . In the second study, the researchers performed a visual assessment of CAC in 280 patients, and found that the absence of CAC had a high negative predictive value for major adverse cardiovascular events in patients during their hospitalization for COVID-19 [17] . Furthermore, in our study, myocardial injury was present in 46.2% of patients, and was associated with unfavourable outcomes, such as admission to intensive care, episodes of heart J o u r n a l P r e -p r o o f 12 failure and rhythm disorders during hospitalization and a significantly higher rate of all-cause mortality, which is consistent with several recent studies that found that myocardial injury caused by COVID-19 is associated with poor prognosis [18] [19] [20] [21] [22] [23] [24] [25] [26] . Importantly, in the present study, we found an interplay between CAC categories, myocardial injury at admission or during hospitalization and mortality: patients with heavy CAC had significantly greater myocardial injury (P = 0.02). This finding is supported by a retrospective study including 332 patients hospitalized with COVID-19 with a median follow-up of 12 days, which reported that patients with myocardial injury had a lower prevalence of a CAC score of zero (25%) compared with patients without myocardial injury (55%) (P < 0.001) [27] . Future studies are needed to elucidate the underlying mechanism that links CAC to myocardial injury and mortality. All of these findings suggest a close relationship between COVID-19 and the cardiovascular system. To date, the literature has reported conflicting results concerning the use of cardioprotective treatments in COVID-19 [28] . In our study, these treatments did not provide any benefit in terms of mortality at 6 months, probably because of the small size of our population. However, including a treatment such as statins, antiplatelet therapy, beta-blockers and/or RAS blockers as a preventive measure in case of moderate or heavy CAC burden, independent of conventional risk factors, may be beneficial. Such a strategy is supported by the results of recent retrospective studies, in which the anti-inflammatory effect of statins and aspirin has been put forward to explain the decrease in mortality from COVID-19 [29] [30] [31] . With regards to RAS inhibitors, the use of ACE inhibitors and ARBs became controversial at the beginning of the pandemic, as they were thought to worsen the patient's condition. Indeed, animal studies have reported that these treatments upregulate the expression of angiotensin-converting enzyme receptor 2, which is also the receptor used by SARS-CoV-2 to infect human cells [32] [33] [34] . International scientific societies now recommend continuation of these treatments, however, after several observational studies demonstrated no association between the use of RAS inhibitors and the risk or severity of infection with SARS-CoV-2 [33, [35] [36] [37] [38] [39] [40] [41] . These data were confirmed by the BRACE CORONA trial, the first randomized cohort study evaluating the clinical impact of discontinuing or continuing ACE inhibitors or ARBs in COVID-19. For the 659 patients involved, no significant difference was found in the number of days of out-of-hospital survival at 30 days between stopping or continuing ACE inhibitors/ARBs in patients hospitalized with COVID-and moderate forms of COVID-19. Large randomized controlled trials are needed to better understand the association between cardioprotective therapies and survival of COVID-19. This study has some limitations. First, there is a selection bias because the most severe patients were admitted directly to the intensive care unit, without having a chest CT scan; these patients were therefore not included in our analysis. However, we selected all adult patients hospitalized for more than 2 days; so, in effect, we eliminated all the minor and/or asymptomatic cases who did not need oxygen support. Second, our study was conducted during the first pandemic wave, when there was neither specific treatments (such as corticoids or anti-interleukin-6 receptors) nor vaccines; this may explain our high mortality rate. Our results are therefore not generalizable to a vaccinated population. Third, we included in the "cancer" group both patients in remission and those with active cancer, which introduces a bias that influences the mortality rate. Fourth, the size of our population is quite modest, and so the extrapolation of these results is limited. Fifth, the numbers of variables included in models 2-4 are high regarding the number of events for the primary outcome. These results can only be considered hypothesis generating, and future randomized studies are needed to confirm these data. Finally, given the observational nature of this work and the use of electronic medical records, the possibility exists of residual confounding. In conclusion, in patients hospitalized for COVID-19 without known ASCVD, the CAC visual scores obtained from non-gated thoracic CTs seem to be an independent predictor of 6-month all-cause mortality, and could be used systematically in the initial evaluation of hospitalized patients when a chest CT is performed. The detection of CAC and cardiac troponin testing during hospitalization are simple ways to screen patients most at risk. Given the complex influence of COVID-19 on the cardiovascular system, further investigation into potential mechanisms is needed to guide effective therapies. Larger and randomized trials are needed to investigate treatment modalities to reduce the incidence and mortality associated with COVID-19. 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The authors are deeply indebted to all patients who agreed to participate in the surveys, and to the physicians who took care of the patients at the participating institutions. The French COVID cohort study was funded by the Institut National de la Santé et de la Recherche The authors declare that they have no conflicts of interest concerning this manuscript.