Evidence map›Paper›PMID 27294084›Full record

ArticleAnnals of translational medicine2016

High-density lipoprotein cholesterol values independently and inversely predict cardiac troponin T and I concentration.

Giuseppe Lippi, Claudia Lo Cascio, Giorgio Brocco, Elisa Danese, Martina Montagnana, Antonella Bassi, Beatrice Caruso, Chiara Bovo, Gian Luca Salvagno

Open access · hybridAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Annals of translational medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.9field-weighted citation impact, top 22% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Acute coronary syndrome: many doubts, some answers.Annals of translational medicine · 2016
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 1 institution in 1 country.

Giuseppe Lippi1 Section of Clinical Biochemistry, University of Verona, Verona, Italy ; 2 Laboratory of Clinical Chemistry and Hematology, General Hospital of Verona, Verona, Italy ; 3 Laboratory of Clinical Chemistry and Hematology, University Hospital of Verona, Verona, Italy ; 4 Medical Direction, University Hospital of Verona, Verona, Italy.
Claudia Lo Cascio1 Section of Clinical Biochemistry, University of Verona, Verona, Italy ; 2 Laboratory of Clinical Chemistry and Hematology, General Hospital of Verona, Verona, Italy ; 3 Laboratory of Clinical Chemistry and Hematology, University Hospital of Verona, Verona, Italy ; 4 Medical Direction, University Hospital of Verona, Verona, Italy.
Giorgio Brocco1 Section of Clinical Biochemistry, University of Verona, Verona, Italy ; 2 Laboratory of Clinical Chemistry and Hematology, General Hospital of Verona, Verona, Italy ; 3 Laboratory of Clinical Chemistry and Hematology, University Hospital of Verona, Verona, Italy ; 4 Medical Direction, University Hospital of Verona, Verona, Italy.
Elisa Danese1 Section of Clinical Biochemistry, University of Verona, Verona, Italy ; 2 Laboratory of Clinical Chemistry and Hematology, General Hospital of Verona, Verona, Italy ; 3 Laboratory of Clinical Chemistry and Hematology, University Hospital of Verona, Verona, Italy ; 4 Medical Direction, University Hospital of Verona, Verona, Italy.
Martina Montagnana1 Section of Clinical Biochemistry, University of Verona, Verona, Italy ; 2 Laboratory of Clinical Chemistry and Hematology, General Hospital of Verona, Verona, Italy ; 3 Laboratory of Clinical Chemistry and Hematology, University Hospital of Verona, Verona, Italy ; 4 Medical Direction, University Hospital of Verona, Verona, Italy.
Antonella Bassi1 Section of Clinical Biochemistry, University of Verona, Verona, Italy ; 2 Laboratory of Clinical Chemistry and Hematology, General Hospital of Verona, Verona, Italy ; 3 Laboratory of Clinical Chemistry and Hematology, University Hospital of Verona, Verona, Italy ; 4 Medical Direction, University Hospital of Verona, Verona, Italy.
Beatrice Caruso1 Section of Clinical Biochemistry, University of Verona, Verona, Italy ; 2 Laboratory of Clinical Chemistry and Hematology, General Hospital of Verona, Verona, Italy ; 3 Laboratory of Clinical Chemistry and Hematology, University Hospital of Verona, Verona, Italy ; 4 Medical Direction, University Hospital of Verona, Verona, Italy.
Chiara Bovo1 Section of Clinical Biochemistry, University of Verona, Verona, Italy ; 2 Laboratory of Clinical Chemistry and Hematology, General Hospital of Verona, Verona, Italy ; 3 Laboratory of Clinical Chemistry and Hematology, University Hospital of Verona, Verona, Italy ; 4 Medical Direction, University Hospital of Verona, Verona, Italy.
Gian Luca Salvagno1 Section of Clinical Biochemistry, University of Verona, Verona, Italy ; 2 Laboratory of Clinical Chemistry and Hematology, General Hospital of Verona, Verona, Italy ; 3 Laboratory of Clinical Chemistry and Hematology, University Hospital of Verona, Verona, Italy ; 4 Medical Direction, University Hospital of Verona, Verona, Italy.
University of Verona · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis retrospective study was planned to establish potential associations between circulating values of cardiac troponins and those of conventional blood lipids.

methodsThe study population consisted of patients attending an inpatient clinic of the University Hospital of Verona during the year 2015 as part of routine cardiovascular risk assessment. No exclusion criteria were applied. Serum lipids including total cholesterol (TC), high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C) and triglycerides (TG) were measured using reference enzymatic techniques, whereas troponin T (TnT) was measured using a high-sensitivity (HS) immunoassay. A second analysis was also performed in the General Hospital of Verona, extracting data from the local laboratory database of all patients in whom troponin I (TnI) and blood lipids were simultaneously measured during the same year.

resultsIn univariate analysis, HS-TnT was found to be associated with age, sex, TC, LDL-C, HDL-C, but not with TG. In multivariate linear regression analysis, age (positive correlation; P<0.001) and HDL-C (negative correlation; P=0.032) remained significantly associated with HS-TnT. The frequency of HS-TnT values >50 ng/L was higher in subjects with HDL-C <1 mmol/L than in those with HDL-C ≥1 mmol/L [odds ratio (OR), 1.84; 95% confidence interval (CI), 1.03-3.32]. The frequency of HS-TnT values >50 ng/L was also higher in elderly subjects than in younger ones (OR, 2.10; 95% CI, 1.15-3.84). The combination of age and HDL-C explained 35% of overall variability of TnT concentration. In the second analysis, HDL-C was also found to be an independent and negative predictor of TnI in multivariate linear regression analysis (P=0.010). The combination of age and HDL-C explained approximately 28% of the overall variability of TnI concentration.

conclusionsOur study suggests that HDL-C values inversely predict cardiac troponins concentration irrespective of age, sex and other blood lipids.

Indexed as

acute coronary syndrome (ACS)Cardiovascular riskcholesterolhigh-density lipoproteinslipidstroponin

Identifiers

PMID27294084
PMCPMC4885901
OpenAlexW2341622798

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.