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Elsevier - PMC COVID-19 Collection logoLink to Elsevier - PMC COVID-19 Collection
. 2020 Aug 15;74(1):105–108. doi: 10.1016/j.rec.2020.08.005

Association between myocardial injury and prognosis of COVID-19 hospitalized patients, with or without heart disease. CARDIOVID registry

Asociación entre el daño miocárdico y el pronóstico de pacientes hospitalizados por COVID-19, con y sin cardiopatía. Registro CARDIOVID

Diego López-Otero a,b,c,, Javier López-Pais a,b,c, Pablo José Antúnez-Muiños a, Carla Cacho-Antonio a, Teba González-Ferrero a, José Ramón González-Juanatey a,b,c
PMCID: PMC7428735  PMID: 32863176

To the Editor,

In December 2019, a cluster of cases of severe acute respiratory syndromes was first reported in Wuhan (China). A novel coronavirus was isolated and was named SARS-CoV-2.1 By April 1, 2020, the disease caused by SARS-CoV-2, known as COVID-19 (Coronavirus disease 2019), was declared a global pandemic by the World Health Organization.2

Although the main clinical manifestation of this new virus occurs in the respiratory system, other organs such as the heart can also be affected. There are several mechanisms by which SARS-CoV-2 could cause myocardial damage. The presence of angiotensin-converting enzyme-2 receptors (used by this virus to invade the pneumocyte) in cardiomyocytes could be associated with the development of myocarditis, which can cause systolic dysfunction and heart failure (HF).3 Another mechanism of cardiac damage could be the high degree of inflammatory activity. COVID-19 precipitates a cytokine storm with increased levels of interleukin (mainly 2, 7 and 10) and other proinflammatory cytokines, such as granulocyte-colony stimulating factor and tumor necrosis factor, among other mediators of the systemic and local inflammatory response. This proinflammatory storm can reduce flow to the coronary arteries, as well as destabilize coronary atherosclerosis plaques, associated with a hypercoagulable state that precipitates the microvascular thrombosis responsible for myocardial damage and the consequent elevation of troponin (Tn).4, 5

In situations of hypoxemia or sustained hypotension, type 2 acute myocardial infarction may also occur. Finally, stress cardiomyopathy or tachycardias due to adrenergic discharge, either endogenous or exogenous, are other forms of myocardial damage related to this virus.6

This work was conducted to evaluate the impact on mortality, HF and on both combined of TnI elevation in COVID-19, both in patients with and without previous heart disease (HD), defined as a history of ischemic heart disease, at least moderate heart valve disease, or left ventricular dysfunction (ventricular ejection fraction < 40%).

From March 10 to April 6, 2020, we included all patients with confirmed SARS-CoV-2 infection in our health area who were admitted to hospital (n = 245). Of these, 33 (14.1%) required intensive critical care. A total of 27 deaths were recorded (11%), and 35 (14.3% patients) developed HF. A total of 42 patients (17.1%) had HD. Of these, 15 (35.7%) had elevated Tn compared with 13.3% of patients without HD.

Table 1 summarizes the baseline characteristics of COVID-19 patients and provides a comparison of the cohorts with normal and elevated TnI values, as well as the results of the univariate analysis for the association of death and HF for all hospitalized patients, respectively.

Table 1.

Baseline characteristics of the total and subgroup population and variables associated with mortality and heart failure

Baseline characteristics of the total and subgroup population
Total population
N = 245 (100%)
Elevated troponin levels
n = 42; (17.1%)
Normal troponin levels
n = 203 (82.9%)
P
Clinical presentation
 Days of symptoms
6.6 ± 4.8
5.4 ± 4.6
6.8 ± 4.8
.077
 Fever
198 (80.8)
31 (73.8)
167(82.3)
.205
 SaO2 < 95%
134 (54.7)
30 (71.4)
104 (51.2)
.017
Demographic characteristics
 Age, y
67.6 ± 15.7
77.2 ± 10.8
65.6 ± 15.9
< .001
 Female sex
99 (40.4)
12 (28.6)
87 (42.9)
.086
 Obesity
27 (11.0)
7 (16.7)
20 (9.9)
.199
 Health worker
12 (4.9)
1 (2.4)
11 (5.4)
.406
 Retirement home
8 (3.3)
3 (7.1)
5 (2,5)
.120
 Dementia
10 (4.1)
5 (11.9)
5 (2.5)
.005
 Dependency
27 (11.0)
12 (28.6)
15 (7.4)
< .001
Cardiovascular risk factors
 Current smoker
7 (2.9)
0 (0.0)
7 (3.4)
.222
 Hypertension
117 (47.8)
27 (64.3)
90 (44.3)
.018
 Diabetes mellitus
61 (24.9)
20 (47.6)
41 (20.2)
< .001
 Dyslipidemia
114 (46.5)
25 (59.5)
89 (43.8)
.064
 Peripheral artery disease
20 (8.2)
12 (28.6)
8 (3.9)
< .001
Heart disease
 Isquemic heart disease
24 (9.8)
9 (21.4)
15 (7.4)
.005
 Left ventricular disfunction
13 (5.3)
8 (19.0)
5 (2.5)
< .001
 Valvular disease
12 (4.9)
2 (4.8)
10 (4.9)
.964
 Atrial fibrillation
15 (6.1)
7 (16.7)
8 (3.9)
.002
Pulmonary disease
 Pulmonary disease
48 (19.6)
7 (16.7)
41 (20.2)
.600
 COPD/asthma
31 (12.7)
7 (16.7)
24 (11.9)
.390
 OSAHS
12 (4.9)
0 (0.0)
12 (5.9)
.106
Other comorbidities
 Renal impairment, eGFR < 30
mL/min
14 (5.7)
9 (21.4)
5 (2.5)
< .001
 Stroke/TIA
13 (5.3)
7 (16.7)
6 (3.0)
< .001
 Neoplasia
5 (2.0)
4 (9.5)
1 (2.0)
.864
 Hypothyroidism
10 (4.1)
2 (4.8)
8 (3.9)
.807
 Autoimmune disease
15 (6.1)
2 (4.8)
13 (6.4)
.686
Laboratory test (admitted patients only)
 pO2 < 60 mmHg
176 (71.7)
36 (85.7)
140 (68.7)
.027
 pCO2 > 45 mmHg
16 (6.3)
7 (16.7)
9 (4.1)
.002
 Hemoglobin, g/dL
13.2 ± 1.9
12.3 ± 2.6
13.4 ± 1.7
.015
 Leucocytes, 103/μL
65 ± 3.4
8.0 ± 4.7
6.2 ± 3.1
.021
 Lymphoocytes, 102/μL
0.9 ± 0.8
0.7 ± 1.2
0.9 ± 0.7
.099
 Platelets, 103/μL
201.1 ± 98.3
187.1 ± 108.9
201.9 ± 96.4
.771
 Creatinine, mg/dL
1.2 ± 0.9
1.8 ± 1.5
1.0 ± 0.7
.002
 D-dimer, ng/mL
2779.8 ± 10370.3
4351.5 ± 6419.8
2460.6 ± 10985.6
.294
 Ferritin, ng/mL
926.2 ± 998.4
1291.8 ± 1407.2
856.8 ± 888.6
.090
 C-reactive protein, mg/dL
12.2 ± 13.5
15.5 ± 11.7
11.5 ± 13.7
.083
 Interleukin-6, pg/mL
113.1 ± 408.0
355.0 ± 942.1
71.3 ± 186.1
.117
Previous treatments
 Antiplatelet therapy
36 (14.7)
14 (33.3)
22 (10.8)
< .001
 Anticoagulation
27 (11.0)
12 (28.6)
15 (7.4)
< .001
 Beta-blockers
37 (15.1)
14 (33.3)
23 (11.3)
< .001
 ACEI/ARB
81 (33.1)
20 (47.6)
61 (30.0)
.028
 Corticosteroids 20 (8.2) 4 (9.5) 16 (7.9) .724
Variables associated with mortality and heart failure
Variables
Mortality
Heart failure
OR 95%CI P OR 95%CI P
 Days of symptoms, per d
0.91
0.83-1.02
.096
1.06
0.99-1.13
.081
 Fever
0.81
0.31-2.14
.671
0.77
0.32-1.82
.552
 SaO2 < 95%
4.16
1.52-11.39
.005
4.83
1.93-12.12
.001
 Age, per y
1.11
1.06-1.16
< .001
1.02
0.99-1.04
.196
 Female sex
0.30
0.11-0.82
.019
0.98
0.47-2.04
.958
 Obesity
2.02
0.70-5.88
.195
1.05
0.34-3.24
.934
 Health worker
-
-
-
0.53
0.07-4.26
.552
 Retirement home
5.32
1.20-23.68
.028
0.85
0.10-7.15
.883
 Dementia
3.77
0.91-15.54
.067
-
-
-
 Dependency
3.46
1.31-9.19
.013
0.45
0.10-1.98
.291
 Current smoker
-
-
-
1.00
0.12-8.57
1.000
 Hypertension
1.20
0.54-2.68
.652
1.04
0.51-2.13
.917
 Diabetes mellitus
8.14
3.42-19.37
< .001
1.99
0.94-4.25
.073
 Dyslipidaemia
1.50
0.67-3.36
.321
1.89
0.91-3.91
.088
 Peripheral artery disease
7.23
2.63-19.86
< .001
2.90
1.03-8.14
.044
 Ischemic heart disease
4.14
1.53-11.17
.005
2.21
0.81-6.02
.122
 Left ventricular dysfunction
5.97
1.80-18.82
.004
4.21
1.29-13.71
.017
 Valvular disease
4.57
1.28-16.34
.020
3.53
0.93-11.47
.066
 Atrial fibrillation
4.73
1.48-15.08
.009
3.33
1.07-10.42
.038
 Pulmonary disease
2.29
0.96-5.49
.062
1.52
0.66-3.50
.327
 COPD/asthma
2.21
0.81-5.99
.120
1.94
0.76-4.91
.164
 OSAHS
2.90
0.73-11.46
.128
1.21
0.25-5.78
.809
 eGFR < 30 mL/min
7.50
2.38-23.68
.001
1.70
0.45-6.41
.436
 Stroke/TIA (prior)
4.04
1.15-14.15
.029
0.49
0.06-3.85
.494
 Cancer (prior)
2.06
0.22-19.11
.526
4.18
0.67-25.98
.125
 Hypothyroidism
0.89
0.11-7.34
.916
2.72
0.67-11.06
.162
 Autoimmune disease
-
-
-
2.33
0.70-7.79
.168
 pO2 < 60 mmHg
3.34
0.97-14.52
.056
2.09
0.83-5.29
.120
 pCO2 > 45 mmHg
0.56
0.07-4.47
.586
11.31
3.72-34.34
< .001
 Hemoglobin, per 1 g/dL
0.69
0.56-0.84
< .001
0.92
0.76-1.11
.366
 Leukocytes, per 1000
1.23
1.11-1.36
< .001
1.11
1.01-1.21
.027
 Lymphocytes, per 100
0.90
0.51-1.61
.728
0.09
0.03-0.31
< .001
 Platelets, per 100 000
1.20
0.84-1.72
.315
1.19
0.85-1.65
.307
 Creatinine, per 1 g/dL
1.64
1.14-2.34
.007
1.51
1.08-2.10
.016
 D-dimer, per 100 units
1.01
1.00-1.01
.049
1.00
0.99-1.00
.770
 Ferritin, per 100 units
1.02
0.98-1.06
.473
1.05
1.02-1.09
.002
 CRP, per unit
1.02
0.99-1.05
.068
1.05
1.02-1.08
.003
 Interleukine-6, per unit
1.00
1.00-1.01
.358
1.01
1.00-1.01
.018
 Antiplatelet therapy
1.37
0.48-3.89
.553
0.96
0.34-2.67
.941
 Anticoagulation
10.83
4.30-27.24
< .001
5.56
2.31-13.56
< .001
 ACEI/ARBs
1.22
0.53-2.79
.642
1.23
0.59-2.60
.580
 Beta-blockers
5.08
2.13-12.12
< .001
2.71
1.17-6.26
.020
 Corticosteroids 0.40 0.05-3.13 .385 1.06 0.30-3.84 .924

ACEI, angiotensin-converting enzyme inhibitors; ARB, angiotensin receptor blocker; COPD, chronic obstructive pulmonary disease; CRP, C reactive protein; eGFR, estimated glomerular filtration rate; OSAHS, obstructive sleep apnea-hypopnea syndrome; pO2, partial pressure of oxygen; SaO2, oxygen saturation; TIA, transient ischemic attack.

Unless otherwise indicated, the data are expressed as No. (%) or mean ± standard deviation.

Multivariate analyses were adjusted by those variables with a P < .05 value in the univariate analysis:

• Adjustment for mortality by age, sex, SaO2 < 95%, retirement home, dependency, diabetes mellitus peripheral artery disease, heart disease, atrial fibrillation prior stroke, chronic kidney disease, hemoglobin leukocytes, creatinine, D-dimer, anticoagulation, B-blockers.

• Adjustment for heart failure by: SaO2 < 95%, peripheral artery disease, ventricular dysfunction, atrial fibrillation, hypercapnia, leukocytes, lymphocytes, creatinine, ferritin, CRP, interleukine-6, anticoagulation, B-blockers.

• Adjustment for the combined of death and heart failure for: age, sex, SaO2 < 95%, retirement home, dependency, diabetes mellitus, peripheral artery disease, heart disease, atrial fibrillation, prior stroke/TIA, hypercapnia, hemoglobin, leukocytes, lymphocytes, creatinine, D-dimer, ferritin, CRP, IL-6, anticoagulation, beta-blockers.

Figure 1A represents the clinical complications observed in patients with high or normal TnI, based on the prior presence of HD. In all groups, TnI elevation identified a group of patients with a worse prognosis, but the rate of events in patients with elevated TnI compared with those with normal TnI was higher in patients without HD than in those with HD.

Figure 1.

Figure 1

A: events in patients with high or normal troponin levels depending on whether or not they have heart disease. B: relationship between troponin and the predicted probability of death and heart failure according to the presence or not of heart disease. HF, heart failure.

In the adjusted and nonadjusted analyses of the association between TnI and the clinical complications observed during hospitalization, TnI elevation was associated with higher mortality (odds ratio [OR], 334; 95% confidence interval [95%CI], 4.91-2285.10; P  = .025), but not with a higher risk of developing HF (OR, 3.12; 95%CI, 0.72-13.63; P  = .130). The combined outcome of mortality and HF was more frequent (OR, 5.58; 95%CI, 1.24-25-12, P  = .025) in the group with elevated TnI.

On multivariate analysis of the association between TnI and clinical complications, both in patients with and without previous HD, TnI elevation was related to higher mortality (OR, 4.93; 95%CI, 1.24-19.52; P  = .023), HF (OR, 4.28; 95%CI, 1.30-14.07; P  = .017), and with the combined outcome of mortality or HF (OR, 7.09; 95%CI, 2.28-22.03; P  = .001) in patients without HD, but not in patients with previous HD (P  = .561, P  = .337 and P  = .992, respectively).

Figure 1B describes the relationship between TnI and the predicted probability of death or HF. As Tn rose, there was an increase in the risk of developing adverse outcomes. This relationship was more robust in patients without previous HD.

Tn elevation in patients without HD could indicate more severe infection and respiratory distress, which could determine the prognosis of COVID-19. In contrast, in patients with previous HD, Tn elevation may not only be related to the infectious process, but also to their underlying disease, so that, by itself, it does not identify the severity of COVID-19.

These findings could have relevant clinical implications. Tn elevation allows easy and rapid identification of a group of patients with a worse prognosis. This predictive power of risk of death or HF was particularly significant in patients without previous HD. Based on these results, TnI determination should be routinely included in patients hospitalized for COVID-19.

References


Articles from Revista Espanola De Cardiologia (English Ed.) are provided here courtesy of Elsevier

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