Elena Bonet Estruch

Dr. Elena Bonet Estruch

orcid

Research Focus & Metrics

Academic Career Length

15Years (2012-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 August 2016 in Clinica Chimica Acta
Verified
Journal Article
Closed access
LMLaura Martos
Laura Martos
SBSantiago Bonanad
Santiago Bonanad
LNLUIS ANDRÉS RAMON NÚÑEZ
LUIS ANDRÉS RAMON NÚÑEZ
ACAna-Rosa Cid
Ana-Rosa Cid
EEElena Bonet Estruch
Elena Bonet Estruch
PMPilar Medina
Pilar Medina

1 October 2012 in Thrombosis Research
Verified
Journal Article
Closed access
EEElena Bonet Estruch
Elena Bonet Estruch
SNSilvia Navarro
Silvia Navarro
PMPilar Medina
Pilar Medina
LMLaura Martos
Laura Martos
FFFernando Ferrando
Fernando Ferrando
FEFrancisco España
Francisco España

8 October 2026 in SSRN Electronic Journal
Verified
Preprint
Open access
MRManuel Jesús Romero-Jiménez
Manuel Jesús Romero-Jiménez
EGEva N Gutiérrez-Cortizo
Eva N Gutiérrez-Cortizo
SGSoraya Sánchez González
Soraya Sánchez González
ACAna Camacho Carrasco
Ana Camacho Carrasco
MLMiguel Angel Castaño López
Miguel Angel Castaño López
EEElena Bonet Estruch
Elena Bonet Estruch
Background and aims: Current population-based data on cardiovascular risk and lipid target achievement in Mediterranean populations are limited. We assessed cardiovascular risk, lipid-lowering treatment, and low-density lipoprotein cholesterol control in the province of Huelva, southern Spain.Methods: MAPA-Huelva was a cross-sectional, population-based study of 318 participants selected using stratified random sampling. Cardiovascular risk was classified according to 2021 European Society of Cardiology criteria using SCORE2, SCORE2-OP, and, when applicable, SCORE2-Diabetes. Attainment of risk-specific absolute low-density lipoprotein cholesterol goals was assessed.Results: Hypertension, diabetes, and dyslipidaemia were present in 43.1%, 13.8%, and 46.2% of participants, respectively. Among classifiable participants, 32.3% were at high or very high risk. Lipid-lowering therapy use increased across risk categories (9.2%, 23.9%, 51.8%, and 71.8%; p <0.001), whereas low-density lipoprotein cholesterol goal attainment decreased (61.4%, 24.4%, 14.8%, and 15.8%; p <0.001). Only 15.2% of high- or very-high-risk participants with available low-density lipoprotein cholesterol attained their goal; among those above goal, 46.2% were untreated. In exploratory adjusted analysis, older age and current smoking were associated with goal non-attainment, whereas lipid-lowering therapy was associated with lower odds of being above goal (odds ratio 0.15, 95% confidence interval 0.06–0.37; p<0.001).Conclusions: Almost one-third of classifiable participants in this contemporary Mediterranean population were at high or very high cardiovascular risk. Gaps in treatment initiation, intensity, and low-density lipoprotein cholesterol goal attainment support more systematic implementation of guideline-directed lipid management.

29 August 2024 in Diagnostics
Verified
Journal Article
Open access
PDF file
EEElena Bonet Estruch
Elena Bonet Estruch
MLMaría José López Lara
María José López Lara
EGEva N Gutiérrez-Cortizo
Eva N Gutiérrez-Cortizo
MLMiguel Angel Castaño López
Miguel Angel Castaño López
PMPedro Mata
Pedro Mata
MRManuel Jesús Romero-Jiménez
Manuel Jesús Romero-Jiménez
Background Detecting total cholesterol in dried blood spots could aid in identifying individuals with a high likelihood of familial hypercholesterolemia and could be used as a screening measure. This study aims to assess the diagnostic accuracy of dried blood spots on Whatman 903 paper cards using a manual enzymatic technique. Methods: A total of 394 samples were collected as serum and dried blood spots were compared. Cholesterol was determined in serum using the automated reference method, while cholesterol on paper was measured using a manual enzymatic method. Within- and between-day diagnostic variability were analyzed. The correlation between both methods was assessed using Passing–Bablok regression and Bland–Altman plot. Internal validation of our correlation formula was performed on 149 samples, along with external validation of the formula proposed by Corso et al. Results: The within- and between-day coefficient of variation was found to be lower than 10.14% and 14.09%, respectively. Passing–Bablok regression indicated a precision of 0.803 and an accuracy of 0.96. Internal validation precision was measured at 0.716. The resulting positive and negative predicted values were 0.77 and 0.92, respectively, vs. 0.46 and 0.96 from the external formula. Conclusions: Total cholesterol analysis in dried blood spots demonstrates high precision and reproducibility. This method reliably enables the incorporation of this biological marker into neonatal screening for familial hypercholesterolemia detection.

1 October 2012 in Thrombosis Research
Verified
Journal Article
Closed access
EEElena Bonet Estruch
Elena Bonet Estruch
LMLaura Martos
Laura Martos
SNSilvia Navarro
Silvia Navarro
PMPilar Medina
Pilar Medina
AEAmparo Estelles
Amparo Estelles
FEFrancisco España
Francisco España

1 October 2012 in Thrombosis Research
Verified
Journal Article
Closed access
EEElena Bonet Estruch
Elena Bonet Estruch
PMPilar Medina
Pilar Medina
SNSilvia Navarro
Silvia Navarro
LMLaura Martos
Laura Martos
AEAmparo Estellés
Amparo Estellés
FEFrancisco España
Francisco España