ArticleQuantitative imaging in medicine and surgery2025
Left ventricular diastolic dysfunction in uremia patients: the role of four-dimensional automatic left atrial quantification in prediction.
Article in Quantitative imaging in medicine and surgery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Early detection of left ventricular diastolic dysfunction (LVDD) in uremic patients is critical for optimizing clinical outcomes in chronic kidney disease (CKD). This study developed a predictive model using four-dimensional automatic left atrial quantification (4D Auto LAQ) technology to assess LVDD progression in this population. Methods: This single-center retrospective study analyzed data from The Second Affiliated Hospital of Hainan Medical University. The cohort comprised 108 uremic patients receiving maintenance therapy and 38 age- and sex-matched healthy controls. Routine laboratory parameters and four-dimensional (4D) echocardiography data were extracted from the hospital's electronic medical record system. Systematic comparisons between groups were conducted using these metrics. A least absolute shrinkage and selection operator (LASSO)-penalized logistic regression model was developed and validated to identify predictors. The model specifically assessed predictors of LVDD severity in uremia. Results: Left atrial volume parameters increased progressively with rising left ventricular filling pressure. In uremic patients with LVDD, both left atrial reservoir and conduit functions were significantly impaired. Notably, even among individuals with preserved diastolic function, left atrial conduit longitudinal strain (LAScd) exhibited significant alterations (P<0.001). The LASSO-penalized logistic regression model demonstrated strong discriminatory performance for predicting LVDD in uremic patients, yielding an area under the curve (AUC) of 0.811 [95% confidence interval (CI): 0.728-0.893]. Multivariable analysis identified left atrial reservoir longitudinal strain (LASr) [odds ratio (OR) =1.105; 95% CI: 1.028-1.188; P=0.007] and hypertension prevalence (OR =3.287; 95% CI: 1.139-9.481; P=0.028) as independent predictors of LVDD. Conclusions: The 4D Auto LAQ technique enables accurate measurement of cardiac mechanics, revealing progressive functional deterioration in uremic cardiomyopathy. This method effectively identifies early-stage LVDD during critical disease stages, supporting improved cardiovascular risk evaluation.
Indexed as
Identifiers
What Socratic 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 Socratic graph.