Literature DB >> 34878096

Subclinical Myocardial Injury and Risk of COVID-19 in the General Population: The Trøndelag Health Study.

Magnus Nakrem Lyngbakken1,2, Kristian Hveem3,4, Helge Røsjø2,5, Torbjørn Omland1,2.   

Abstract

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Keywords:  cardiac markers; epidemiology studies; troponin; viral diseases

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Year:  2022        PMID: 34878096      PMCID: PMC9383106          DOI: 10.1093/clinchem/hvab267

Source DB:  PubMed          Journal:  Clin Chem        ISSN: 0009-9147            Impact factor:   12.167


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To the Editor:

Cardiovascular disease (CVD) is a risk factor for a severe clinical course in COVID-19 (1), and CVD risk factors associate with the risk of contracting COVID-19 in the general population (2). Subclinical myocardial injury, quantified by cardiac troponin, is common in patients hospitalized with COVID-19 (3), but its association with risk of COVID-19 is unknown. We hypothesized that subclinical myocardial injury is associated with incident COVID-19 in the general population. The Trøndelag Health (HUNT) Study is the largest population-based cohort in Norway (4), and the fourth study visit (HUNT4) was conducted from 2017 to 2019 including 56 078 participants. The study was approved by the ethics committee and all participants provided informed written consent. For the current investigation, we included all study participants from HUNT4 with measurement of high-sensitivity cardiac troponin I (cTnI, ARCHITECT STAT High Sensitive Troponin, assay 99th percentile 16 ng/L for women and 34 ng/L for men). cTnI analysis was performed within 24 h of serum collection. Information on incident COVID-19 was acquired from the Norwegian Surveillance System for Communicable Diseases and all-cause mortality from the Norwegian Cause of Death Registry. Clinical end points were obtained through May 31, 2021. We used a Fine and Gray proportional subhazards model to analyze associations with incident COVID-19, using all-cause mortality as competing risk. We adjusted for age, sex, and established risk factors of severe COVID-19 (i.e., CVD, diabetes mellitus, body mass index, and current smoking) (1). Prognostic accuracy was assessed by c statistics and the net reclassification index (NRI). cTnI was measured in 37 835 study participants from HUNT4. During a median follow-up time of 1083 (interquartile range 943 to 1152) days, 237 events (0.6%) were registered for incident COVID-19 (including 4 hospital admissions) and 1030 (2.7%) events for all-cause mortality. No COVID-19 related deaths were registered. Study participants with incident COVID-19 were younger, less frequently current smokers, had less frequently established CVD, and lower concentrations of cTnI. Most of these differences were attenuated after adjustment for age and sex (Table 1). After adjustment for age and sex, the difference in cTnI between groups was 8.2% (95% CI, −2.9 to 19.4%). Lower concentrations of log-transformed cTnI were associated with incident COVID-19 (subdistribution hazard ratio [sHR] 0.77; 95% CI, 0.67–0.89). This association was no longer significant in adjusted analysis (adjusted sHR [asHR] 1.02; 95% CI, 0.87–1.20). The results were similar when limiting analysis to 2020, before the initiation of the Norwegian coronavirus immunization program (asHR 0.90; 95% CI, 0.66–1.22). There was no difference in the associations of cTnI with incident COVID-19 in study participants with (asHR 1.27; 95% CI, 0.72–2.25) or without established CVD (asHR 1.01; 95% CI, 0.86–1.19, P for interaction = 0.72). cTnI above the sex-specific 99th percentile (asHR 0.73, 95% CI, 0.18–2.95) or established CVD per se (asHR 0.77; 95% CI, 0.41–1.42) were not associated with incident COVID-19. cTnI did not improve the c statistics or NRI when added to a basic risk model constructed on age, sex, and established risk factors for severe COVID-19 (c index 0.686; 95% CI, 0.654–0.718, vs 0.686; 95% CI, 0.654–0.718, P for comparison = 0.97; NRI 0.087, 95% CI, −0.204 to 0.240). C-reactive protein (CRP) was not associated with incident COVID-19 (c index 0.514; 95% CI, 0.474–0.554), and there were no model improvements when cTnI was added to the basic risk model and CRP.

Table 1. Baseline characteristics according to incident COVID-19.

Total cohort (n = 37 835)
No COVID-19 (n = 37 598)
Incident COVID-19 (n = 237)
P
nValuenValuenValueUnadjustedAdjusted for age and sex
Male sex, n (%)37 83517 081 (45.1%)37 59816 974 (45.1%)237107 (45.1%)>0.990.85
Age, years37 83555.4 (41.1–68.4)37 59855.5 (41.2–68.5)23743.8 (30.9–52.8)<0.001<0.001
Current smoking, n (%)37 0603228 (8.7%)36 8373219 (8.7%)2239 (4.0%)0.0120.034
Higher education, n (%)37 00113 817 (37.3%)36 78113 732 (37.3%)22085 (38.6%)0.730.27
Medical history
 Diabetes mellitus, n (%)36 8162257 (6.1%)36 5942247 (6.1%)22210 (4.5%)0.400.58
 Angina pectoris, n (%)35 5431117 (3.1%)353311112 (3.1%)2125 (2.4%)0.690.32
 Myocardial infarction, n (%)35 7331422 (4.0%)35 5201418 (4.0%)2134 (1.9%)0.160.86
 Heart failure, n (%)35 486654 (1.8%)35 273651 (1.8%)2133 (1.4%)>0.990.22
 Atrial fibrillation, n (%)35 2861884 (5.3%)35 0781879 (5.4%)2085 (2.4%)0.060.66
 Stroke, n (%)35 5321170 (3.3%)35 3191166 (3.3%)2134 (1.9%)0.330.76
 Any cardiovascular diseaseb, n (%)37 8354736 (12.5%)37 5984724 (12.6%)23712 (5.1%)<0.0010.36
 Cancer, n (%)35 7952852 (8.0%)35 5852842 (8.0%)21010 (4.8%)0.100.77
Antihypertensive therapy, n (%)37 8358739 (23.1%)37 5988715 (23.2%)23724 (10.1%)<0.0010.26
Lipid lowering therapy, n (%)37 8355994 (15.8%)37 5985979 (15.9%)23715 (6.3%)<0.0010.30
Body mass index, kg/m237 42026.8 (24.0–30.0)37 18426.8 (24.0–30.0)23627.3 (24.1–30.9)0.160.06
Waist-to-hip ratio35 8580.95 (0.90–1.01)35 6290.95 (0.90–1.01)2290.96 (0.89–1.02)0.520.008
Heart rate, bpmc36 31971 (64–80)36 08871 (64–80)23171 (65–82)0.210.37
Systolic blood pressure, mmHg37 675126 (115–139)37 439126 (115–139)236120 (110–132)<0.0010.28
Diastolic blood pressure, mmHg37 67572 (65–79)37 43972 (65–79)23670 (62–76)<0.0010.041
Total cholesterol, mg/dL37 8355.2 (4.4–6.0)37 5985.2 (4.4–6.0)2375.0 (4.2–5.7)0.0080.31
HDLd cholesterol, mg/dL37 8351.3 (1.1–1.6)37 5981.3 (1.1–1.6)2371.3 (1.1–1.5)0.0040.005
Hb A1c, %37 6945.2 (5.0–5.5)37 4595.2 (5.0–5.5)2355.1 (4.9–5.4)<0.0010.64
Hemoglobin, g/dL37 69914.6 (13.7–15.5)37 46414.6 (13.7–15.5)23514.6 (13.6–15.7)0.800.09
White blood cell count, 109/L37 6976.7 (5.7–7.9)37 4626.7 (5.7–7.9)2356.5 (5.5–7.7)0.070.16
eGFRc, mL/min/1.73m237 83593.0 (80.0–105.0)37 59893.0 (80.0–105.0)237104.0 (89.0–117.0)<0.0010.48
CRPc, mg/L37 8351.3 (0.6–2.7)37 5981.3 (0.6–2.7)2371.3 (0.6–3.5)0.450.007
CRP, mg/L (range)37 8350.1 to 160.037 5980.1 to 160.02370.1 to 77.0NANA
Detectable cardiac troponin Id, n (%)37 83524 631 (65.1%)37 59824 508 (65.2%)237123 (51.9%)<0.0010.58
Cardiac troponin Ie, ng/L37 8351.8 (0.6–3.5)37 5981.8 (0.6–3.5)2371.3 (0.6–2.6)<0.0010.15
Cardiac troponin I, ng/L (range)37 8350.6 to 1571.337 5980.6 to 1571.32370.6 to 74.6NANA

Data are reported as absolute numbers (proportion) or median (interquartile range) unless otherwise stated.

Any cardiovascular disease = history of angina pectoris, myocardial infarction, heart failure, atrial fibrillation, and/or stroke.

Abbreviations: bpm, beats per minute; eGFR, estimated glomerular filtration rate; CRP, C-reactive protein; NA, not applicable.

HDL, high-density lipoprotein. To convert cholesterol concentrations from mg/dL to mmol/L, multiply by 0.02586.

Detectable cardiac troponin I = above or at limit of detection (1.2 ng/L). Cardiac troponin I concentrations below the limit of detection were assigned a value of 0.6 ng/L.

Table 1. Baseline characteristics according to incident COVID-19. Data are reported as absolute numbers (proportion) or median (interquartile range) unless otherwise stated. Any cardiovascular disease = history of angina pectoris, myocardial infarction, heart failure, atrial fibrillation, and/or stroke. Abbreviations: bpm, beats per minute; eGFR, estimated glomerular filtration rate; CRP, C-reactive protein; NA, not applicable. HDL, high-density lipoprotein. To convert cholesterol concentrations from mg/dL to mmol/L, multiply by 0.02586. Detectable cardiac troponin I = above or at limit of detection (1.2 ng/L). Cardiac troponin I concentrations below the limit of detection were assigned a value of 0.6 ng/L. In this population-based study with prospective measurement of cTnI, we found no association between subclinical myocardial injury, established CVD, and risk of incident COVID-19. Considering the established link between CVD, cardiac troponins, and COVID-19 severity (1), it is surprising that study participants with incident COVID-19 exhibited lower concentrations of cTnI. These study participants, however, were considerably younger, consistent with the demographic COVID-19 trends in Europe (5), and the absolute differences and prognostic properties of cTnI were attenuated in adjusted analyses. Our study did not permit investigations of COVID-19 severity, as we acquired data on incident COVID-19 from the national registry of communicable diseases. The number of COVID-19 events was low, as Norway has been modestly affected by the ongoing pandemic. Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) testing is performed on clinical indication and accordingly non-systematic, possibly underestimating the true number of COVID-19 patients. The number of hospital admissions was low, barring any meaningful analyses in this regard. In conclusion, our study does not support the hypothesis of an association between subclinical myocardial injury and incident COVID-19 in predominantly healthy community dwellers. Populations with higher incidence of severe COVID-19 are needed to assess whether cTnI is an independent risk factor for hospital admission in COVID-19.
  4 in total

1.  Cohort Profile: the HUNT Study, Norway.

Authors:  S Krokstad; A Langhammer; K Hveem; T L Holmen; K Midthjell; T R Stene; G Bratberg; J Heggland; J Holmen
Journal:  Int J Epidemiol       Date:  2012-08-09       Impact factor: 7.196

2.  Cardiac Troponin Testing in Patients with COVID-19: A Strategy for Testing and Reporting Results.

Authors:  Peter A Kavsak; Ola Hammarsten; Andrew Worster; Stephen W Smith; Fred S Apple
Journal:  Clin Chem       Date:  2021-01-08       Impact factor: 8.327

Review 3.  Cardiovascular risk factors, cardiovascular disease, and COVID-19: an umbrella review of systematic reviews.

Authors:  Stephanie L Harrison; Benjamin J R Buckley; José Miguel Rivera-Caravaca; Juqian Zhang; Gregory Y H Lip
Journal:  Eur Heart J Qual Care Clin Outcomes       Date:  2021-07-21

4.  Modifiable and non-modifiable risk factors for COVID-19, and comparison to risk factors for influenza and pneumonia: results from a UK Biobank prospective cohort study.

Authors:  Frederick K Ho; Carlos A Celis-Morales; Stuart R Gray; S Vittal Katikireddi; Claire L Niedzwiedz; Claire Hastie; Lyn D Ferguson; Colin Berry; Daniel F Mackay; Jason Mr Gill; Jill P Pell; Naveed Sattar; Paul Welsh
Journal:  BMJ Open       Date:  2020-11-19       Impact factor: 3.006

  4 in total

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