Abstract 4128377: Association between Mean Platelet Volume (MPV) and coronary artery disease: An analysis of NHANEs 2017-2020

Background: Recent data showed that mean platelet volume (MPV) is linked to mortality after myocardial infarction and restenosis following coronary angioplasty. However, its association with coronary artery disease (CAD) remains unclear. Therefore, we aim to investigate the association between MPV and CAD using a nationwide database. Methods: We analyzed retrospective cross-sectional data from the National Health and Nutrition Examination Survey (NHANES) 2017-2020, including participants aged 18 years and older. The data on MPV were classified into three groups: below the 10th percentile (P10), between the 10th and 90th percentiles (P10 to P90), and above the 90th percentile (P90). Univariable and multivariable logistic regression models were utilized to identify the association between MPV and CAD. Results: A total of 12,156 patients with MPV results were identified. Their mean age was 37 ± 24 years, with females constituting 51.0% of the population. The racial distribution was primarily White at 33.8%, Black at 25.7%, Mexican American at 13.2%, Asian at 10.7%, and other races at 16.6%. The participants were categorized into three MPV groups: below P10 (11.2%), P10 to P90 (77.3%), and above P90 (11.5%), with median MPV values of 6.8, 8, and 9.7 fL, respectively. In a univariable analysis using participants with MPV in the P10 to P90 as a reference, those with MPV above the 90th percentile had a significantly higher risk of CAD, with an OR of 1.39 (P90-MPV: 95% CI 1.05, 1.83; P=0.021). No significant association was found between participants with MPV below the 10th percentile and risk of CAD (P10-MPV: OR 0.91, 95% CI 0.59, 1.41; P=0.684). After adjusting for age, gender, smoking status, blood pressure (SBP >130 vs <130 mmHg), type 2 diabetes, urine albumin creatinine levels, serum creatinine, heart failure, and stroke history, the association between those with MPV above P90 and increased CAD risk remained significant (P90-MPV aOR 1.65; 95% CI 1.16, 2.34; P=0.005). Gender and race did not modify this effect. Conclusion: Our findings indicate that high MPV (above the 90th percentile) is positively associated with the risk of CAD in the general population. Further longitudinal cohort studies are necessary to explore this relationship and its clinical implications thoroughly.

Authors

Institutions

Publication Details

Journal
Circulation
Published
2024-11-12
DOI
https://doi.org/10.1161/circ.150.suppl_1.4128377
Primary Topic
Inflammatory Biomarkers in Disease Prognosis
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Abstract 4128377: Association between Mean Platelet Volume (MPV) and coronary artery disease: An analysis of NHANEs 2017-2020

Abiodun Idowu, Aman Amanullah, Pakin Lalitnithi, Sakditad Saowapa et al.
Circulation
Inflammatory Biomarkers in Disease Prognosis
article

Abstract 4128377: Association between Mean Platelet Volume (MPV) and coronary artery disease: An analysis of NHANEs 2017-2020

Abiodun Idowu, Aman Amanullah, Pakin Lalitnithi, Sakditad Saowapa, Thitiphan Srikulmontri, Carlo Casipit, Lucas A. Pereira, Wasawat Vutthikraivit, Eric Isaacs, Adivitch Sripusanapan, Pojsakorn Danpanichkul, Chalothorn Wannaphut, Natchaya Polpichai, Phuuwadith Wattanachayakul, Narathorn Kulthamrongsri, Nisha Wanichwecharungruang, Napat Suriyathumrongkul, John Malin
article en

Abstract

Background: Recent data showed that mean platelet volume (MPV) is linked to mortality after myocardial infarction and restenosis following coronary angioplasty. However, its association with coronary artery disease (CAD) remains unclear. Therefore, we aim to investigate the association between MPV and CAD using a nationwide database. Methods: We analyzed retrospective cross-sectional data from the National Health and Nutrition Examination Survey (NHANES) 2017-2020, including participants aged 18 years and older. The data on MPV were classified into three groups: below the 10th percentile (P10), between the 10th and 90th percentiles (P10 to P90), and above the 90th percentile (P90). Univariable and multivariable logistic regression models were utilized to identify the association between MPV and CAD. Results: A total of 12,156 patients with MPV results were identified. Their mean age was 37 ± 24 years, with females constituting 51.0% of the population. The racial distribution was primarily White at 33.8%, Black at 25.7%, Mexican American at 13.2%, Asian at 10.7%, and other races at 16.6%. The participants were categorized into three MPV groups: below P10 (11.2%), P10 to P90 (77.3%), and above P90 (11.5%), with median MPV values of 6.8, 8, and 9.7 fL, respectively. In a univariable analysis using participants with MPV in the P10 to P90 as a reference, those with MPV above the 90th percentile had a significantly higher risk of CAD, with an OR of 1.39 (P90-MPV: 95% CI 1.05, 1.83; P=0.021). No significant association was found between participants with MPV below the 10th percentile and risk of CAD (P10-MPV: OR 0.91, 95% CI 0.59, 1.41; P=0.684). After adjusting for age, gender, smoking status, blood pressure (SBP >130 vs <130 mmHg), type 2 diabetes, urine albumin creatinine levels, serum creatinine, heart failure, and stroke history, the association between those with MPV above P90 and increased CAD risk remained significant (P90-MPV aOR 1.65; 95% CI 1.16, 2.34; P=0.005). Gender and race did not modify this effect. Conclusion: Our findings indicate that high MPV (above the 90th percentile) is positively associated with the risk of CAD in the general population. Further longitudinal cohort studies are necessary to explore this relationship and its clinical implications thoroughly.

CirculationVol. 150(Suppl_1)
University of Hawaiʻi at Mānoa (US), Texas Tech University (US), University of Utah (US), Weiss Memorial Hospital (US), St. Elizabeth Healthcare (US), St. Elizabeth's Medical Center (US), Central Chest Institute of Thailand (TH), Chiang Mai University (TH), Srinakharinwirot University (TH)
Good health and well-being
Openalex Percentile: Top 64%
Inflammatory Biomarkers in Disease Prognosis
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.