17 research outputs found
Biological variation of secretoneurin; a novel cardiovascular biomarker implicated in arrhythmogenesis
Background
Secretoneurin is a novel prognostic biomarker that may predict mortality in heart failure and the occurrence of ventricular arrhythmias. This study reports the within subject variation (CVI), between subject variation (CVG), reference change values (RCV) and index of individuality (II) of secretoneurin.
Methods
Thirty healthy volunteers were included. Non-fasting samples were obtained between 8 and 10 am once a week for ten weeks. Secretoneurin was analyzed in duplicate using ELISA. No outliers were present according to Burnett and Reeds‘ criteria. Simple linear regression did not identify significant trends. Variance homogeneity in the analytical variance and CVI were tested using Cochrane’s and Bartlett’s tests and four participants were excluded. Calculation of CVI, CVG and RCV were done on ln transformed data as described by Fokkema, the II was calculated using retransformed data.
Results
The median age of the participants was 36 years and 53% were female. Non-fasting glucose, eGFR(CKD-EPI), cTnT and NT-proBNP concentrations were within the normal range. Median secretoneurin concentrations were 38 pmol/L (women) and 33 pmol/L (men), p-value < 0.001. CVI and CVG were 9.8% (CI 8.7% to 11.0%) and 20.0 (CI 15.4% to 28.0%), respectively. RCV were 38.7% (CI 35.5% to 42.7%) and −27.9 (CI −29.9 to −26.2) and the II were 0.60 (CI 0.42–0.78). No gender differences were present.
Conclusion
Secretoneurin has a fairly low CVI, CVG, RCV and II, indicating that it could be suitable as a diagnostic or prognostic biomarker and that delta values in serial samplings may be preferable for identifying clinical changes.publishedVersio
Lifetime obesity trends are associated with subclinical myocardial injury: The Trøndelag health study
Background
Obesity is associated with subclinical myocardial injury as quantified by concentrations of cardiac troponin T, but whether lifetime excess weight history is associated with increased concentrations of cardiac troponin I (cTnI) and how indices of abdominal adiposity and glycemic dysregulation affect these associations remain unclear.
Methods
We analyzed cTnI with a high-sensitivity assay in 9739 participants in the Trøndelag Health (HUNT) Study at study visit 4 (2017–2019). BMI was assessed at study Visit 1 (1984–1986), 2 (1995–1997), 3 (2006–2008), and 4.
Results
Median age at visit 4 was 68.7 years and 59% were women. Concentrations of cTnI were detectable in 84.1% of study participants, with a median of 2.5 (1.5–4.5 ng/L). We identified three clusters of BMI trajectories from visit 1 to 4, (1) stable normal weight, (2) stable overweight, and (3) stable obesity. Participants in clusters 2 and 3 were at increased risk of elevated concentrations of cTnI at visit 4 (odds ratio 1.27, 95% CI 1.09–1.47, and odds ratio 1.70, 95% CI 1.33–2.17, p for trend <0.001). Participants in cluster 3 had 22.0 (95% CI 14.1–29.9) higher concentrations of cTnI compared to participants in cluster 1 (p for trend <0.001). Dysregulated glucose metabolism and abdominal obesity did not influence our results.
Conclusions
Individuals with stable overweight or obesity are at increased risk of subclinical myocardial injury, independently of glycemic dysregulation and abdominal adiposity. Our data support a direct detrimental effect of long-standing obesity on cardiovascular health
Lifetime obesity trends are associated with subclinical myocardial injury: The Trøndelag health study
Background
Obesity is associated with subclinical myocardial injury as quantified by concentrations of cardiac troponin T, but whether lifetime excess weight history is associated with increased concentrations of cardiac troponin I (cTnI) and how indices of abdominal adiposity and glycemic dysregulation affect these associations remain unclear.
Methods
We analyzed cTnI with a high-sensitivity assay in 9739 participants in the Trøndelag Health (HUNT) Study at study visit 4 (2017–2019). BMI was assessed at study Visit 1 (1984–1986), 2 (1995–1997), 3 (2006–2008), and 4.
Results
Median age at visit 4 was 68.7 years and 59% were women. Concentrations of cTnI were detectable in 84.1% of study participants, with a median of 2.5 (1.5–4.5 ng/L). We identified three clusters of BMI trajectories from visit 1 to 4, (1) stable normal weight, (2) stable overweight, and (3) stable obesity. Participants in clusters 2 and 3 were at increased risk of elevated concentrations of cTnI at visit 4 (odds ratio 1.27, 95% CI 1.09–1.47, and odds ratio 1.70, 95% CI 1.33–2.17, p for trend <0.001). Participants in cluster 3 had 22.0 (95% CI 14.1–29.9) higher concentrations of cTnI compared to participants in cluster 1 (p for trend <0.001). Dysregulated glucose metabolism and abdominal obesity did not influence our results.
Conclusions
Individuals with stable overweight or obesity are at increased risk of subclinical myocardial injury, independently of glycemic dysregulation and abdominal adiposity. Our data support a direct detrimental effect of long-standing obesity on cardiovascular health
QRS fragmentation is associated with increased risk of ventricular arrhythmias in high-risk patients; Data from the SMASH 1 Study
Introduction
QRS fragmentation (fQRS), defined as the presence of additional spikes within the QRS complex, has been associated with myocardial conduction abnormalities and arrhythmogenicity.
Objective
We aimed to assess whether fQRS is associated with incident ventricular arrhythmias (VA) in high-risk patients treated with implantable cardioverter-defibrillator (ICD) for primary and secondary prevention.
Methods
In a prospective observational multicenter study, we included 495 patients treated with ICD. fQRS was analyzed according to previously validated criteria, by two physicians blinded for outcome data. Incident VA were obtained from ICD recordings.
Results
ECG recordings interpretable for fQRS were available in 459 patients (93%), aged 66 ± 12 years with left ventricular ejection fraction 40% ± 13%. fQRS was present in 52 patients (11%) with comparable baseline characteristics to patients without fQRS, except higher age, higher prevalence of coronary artery disease (CAD), lower prevalence of cardiomyopathy, and more frequently a secondary prevention ICD indication. Among patients with native QRS, those with fQRS had similar QRS duration and axis to those without fQRS. During 3.1 ± 0.7 years follow-up, 126 patients (28%) had ≥1 VA . fQRS was associated with increased risk of VA (HR 3.41 [95% CI 2.27–5.13], p < .001), which persisted after adjusting for age, gender, sex, BMI, CAD, heart failure, renal function, ICD indication, QRS duration, QRS axis, Q waves, and bundle branch block. fQRS was more strongly associated with VA in patients with a primary (HR 6.05 [95% CI 3.16–11.60]) versus secondary (HR 2.39 [95% CI 1.41–4.04]) ICD indication (p-for-interaction = .047).
Conclusions
fQRS is associated with threefold increased risk of VA in high-risk patients, independent of established risk factors
QRS fragmentation is associated with increased risk of ventricular arrhythmias in high-risk patients; Data from the SMASH 1 Study
Introduction
QRS fragmentation (fQRS), defined as the presence of additional spikes within the QRS complex, has been associated with myocardial conduction abnormalities and arrhythmogenicity.
Objective
We aimed to assess whether fQRS is associated with incident ventricular arrhythmias (VA) in high-risk patients treated with implantable cardioverter-defibrillator (ICD) for primary and secondary prevention.
Methods
In a prospective observational multicenter study, we included 495 patients treated with ICD. fQRS was analyzed according to previously validated criteria, by two physicians blinded for outcome data. Incident VA were obtained from ICD recordings.
Results
ECG recordings interpretable for fQRS were available in 459 patients (93%), aged 66 ± 12 years with left ventricular ejection fraction 40% ± 13%. fQRS was present in 52 patients (11%) with comparable baseline characteristics to patients without fQRS, except higher age, higher prevalence of coronary artery disease (CAD), lower prevalence of cardiomyopathy, and more frequently a secondary prevention ICD indication. Among patients with native QRS, those with fQRS had similar QRS duration and axis to those without fQRS. During 3.1 ± 0.7 years follow-up, 126 patients (28%) had ≥1 VA . fQRS was associated with increased risk of VA (HR 3.41 [95% CI 2.27–5.13], p < .001), which persisted after adjusting for age, gender, sex, BMI, CAD, heart failure, renal function, ICD indication, QRS duration, QRS axis, Q waves, and bundle branch block. fQRS was more strongly associated with VA in patients with a primary (HR 6.05 [95% CI 3.16–11.60]) versus secondary (HR 2.39 [95% CI 1.41–4.04]) ICD indication (p-for-interaction = .047).
Conclusions
fQRS is associated with threefold increased risk of VA in high-risk patients, independent of established risk factors
Associations between circulating microRNAs and lipid-rich coronary plaques measured with near-infrared spectroscopy
Abstract Lipid-rich coronary atherosclerotic plaques often cause myocardial infarction (MI), and circulating biomarkers that reflect lipid content may predict risk of MI. We investigated the association between circulating microRNAs (miRs) are lipid-rich coronary plaques in 47 statin-treated patients (44 males) with stable coronary artery disease undergoing percutaneous coronary intervention. We assessed lipid content in non-culprit coronary artery lesions with near-infrared spectroscopy and selected the 4 mm segment with the highest measured lipid core burden index (maxLCBI4mm). Lipid-rich plaques were predefined as a lesion with maxLCBI4mm ≥ 324.7. We analyzed 177 circulating miRs with quantitative polymerase chain reaction in plasma samples. The associations between miRs and lipid-rich plaques were analyzed with elastic net. miR-133b was the miR most strongly associated with lipid-rich coronary plaques, with an estimated 18% increase in odds of lipid-rich plaques per unit increase in miR-133b. Assessing the uncertainty by bootstrapping, miR-133b was present in 82.6% of the resampled dataset. Inclusion of established cardiovascular risk factors did not attenuate the association. No evidence was found for an association between the other analyzed miRs and lipid-rich coronary plaques. Even though the evidence for an association was modest, miR-133b could be a potential biomarker of vulnerable coronary plaques and risk of future MI. However, the prognostic value and clinical relevance of miR-133b needs to be assessed in larger cohorts
Biological variation of secretoneurin; a novel cardiovascular biomarker implicated in arrhythmogenesis
Background
Secretoneurin is a novel prognostic biomarker that may predict mortality in heart failure and the occurrence of ventricular arrhythmias. This study reports the within subject variation (CVI), between subject variation (CVG), reference change values (RCV) and index of individuality (II) of secretoneurin.
Methods
Thirty healthy volunteers were included. Non-fasting samples were obtained between 8 and 10 am once a week for ten weeks. Secretoneurin was analyzed in duplicate using ELISA. No outliers were present according to Burnett and Reeds‘ criteria. Simple linear regression did not identify significant trends. Variance homogeneity in the analytical variance and CVI were tested using Cochrane’s and Bartlett’s tests and four participants were excluded. Calculation of CVI, CVG and RCV were done on ln transformed data as described by Fokkema, the II was calculated using retransformed data.
Results
The median age of the participants was 36 years and 53% were female. Non-fasting glucose, eGFR(CKD-EPI), cTnT and NT-proBNP concentrations were within the normal range. Median secretoneurin concentrations were 38 pmol/L (women) and 33 pmol/L (men), p-value < 0.001. CVI and CVG were 9.8% (CI 8.7% to 11.0%) and 20.0 (CI 15.4% to 28.0%), respectively. RCV were 38.7% (CI 35.5% to 42.7%) and −27.9 (CI −29.9 to −26.2) and the II were 0.60 (CI 0.42–0.78). No gender differences were present.
Conclusion
Secretoneurin has a fairly low CVI, CVG, RCV and II, indicating that it could be suitable as a diagnostic or prognostic biomarker and that delta values in serial samplings may be preferable for identifying clinical changes
Mortality outcomes with hydroxychloroquine and chloroquine in COVID-19 from an international collaborative meta-analysis of randomized trials
Substantial COVID-19 research investment has been allocated to randomized clinical trials (RCTs) on hydroxychloroquine/chloroquine, which currently face recruitment challenges or early discontinuation. We aim to estimate the effects of hydroxychloroquine and chloroquine on survival in COVID-19 from all currently available RCT evidence, published and unpublished. We present a rapid meta-analysis of ongoing, completed, or discontinued RCTs on hydroxychloroquine or chloroquine treatment for any COVID-19 patients (protocol: https://osf.io/QESV4/). We systematically identified unpublished RCTs (ClinicalTrials.gov, WHO International Clinical Trials Registry Platform, Cochrane COVID-registry up to June 11, 2020), and published RCTs (PubMed, medRxiv and bioRxiv up to October 16, 2020). All-cause mortality has been extracted (publications/preprints) or requested from investigators and combined in random-effects meta-analyses, calculating odds ratios (ORs) with 95% confidence intervals (CIs), separately for hydroxychloroquine and chloroquine. Prespecified subgroup analyses include patient setting, diagnostic confirmation, control type, and publication status. Sixty-three trials were potentially eligible. We included 14 unpublished trials (1308 patients) and 14 publications/preprints (9011 patients). Results for hydroxychloroquine are dominated by RECOVERY and WHO SOLIDARITY, two highly pragmatic trials, which employed relatively high doses and included 4716 and 1853 patients, respectively (67% of the total sample size). The combined OR on all-cause mortality for hydroxychloroquine is 1.11 (95% CI: 1.02, 1.20; I² = 0%; 26 trials; 10,012 patients) and for chloroquine 1.77 (95%CI: 0.15, 21.13, I² = 0%; 4 trials; 307 patients). We identified no subgroup effects. We found that treatment with hydroxychloroquine is associated with increased mortality in COVID-19 patients, and there is no benefit of chloroquine. Findings have unclear generalizability to outpatients, children, pregnant women, and people with comorbidities