ArticleLipids in health and disease2025
Sex differences of neutrophil to high-density lipoprotein cholesterol ratio in predicting the severity of coronary lesions in acute coronary syndrome patients.
Article in Lipids in health and disease, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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.
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.
Who cites it
2 citing papers in PubMed.
- Apelin-to-total cholesterol ratio predicts long-term major adverse cardiovascular events in ST-elevation myocardial infarction patients after primary percutaneous coronary intervention: a retrospective cohort analysis.BMC cardiovascular disorders · 2025Article
- Sex hormone-specific regulation of ferroptosis in vascular cells in atherosclerosis: molecular mechanisms and targeted strategies.Frontiers in physiology · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
backgroundThe neutrophil-to-high-density lipoprotein cholesterol ratio (NHR) is closely related to the occurrence and severeness of coronary stenosis in subjects with acute coronary syndrome (ACS). Men have higher NHR levels than women. The study was designed to examine the usefulness of NHR for predicting severe coronary stenosis in male and female ACS subjects.
methodsWe enrolled 165 ACS patients (105 males and 60 females) who underwent coronary angiography. Clinical parameters; fasting glucose, creatinine, and uric acid levels; lipid profiles; and routine blood indices were measured. The NHR was computed by dividing the neutrophil numbers by the concentration of high-density lipoprotein cholesterol. Coronary stenosis severity was assessed using the Gensini score (GS). A GS˃41 points was regarded as a high GS.
resultsThe NHR was clearly greater in male ACS individuals than in their female counterparts (P = 0.001). The NHR was positively linked to the GS (r = 0.330, P = 0.001) in men, whereas there was no association between NHR and the GS in women (r=-0.0.032, P = 0.805). Univariate logistic regression analyses indicated that the NHR predicted a high GS in male ACS patients but not in their female counterparts. Multivariate logistic regression analyses indicated that a high NHR was an independent marker of severe coronary lesions in men (P = 0.001) but not in women (P = 0.274). The areas under the receiver operating characteristic curve of the NHR for the prediction of severe atherosclerosis were 0.681 (P = 0.001) and 0.560 (P = 0.431) in male and female subjects, respectively. An NHR value > 3.99 had a specificity and a sensitivity of 68% and 64%, respectively, for forecasting severe atherosclerosis in male subjects.
conclusionsThe NHR could be utilised to independently predict the severeness of coronary lesions in male ACS subjects but not in their female counterparts. Therefore, the NHR should be used with caution when screening female ACS patients for severe coronary restrictions.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.