Evidence map›Paper›PMID 41816030›Full record

ArticleQuantitative imaging in medicine and surgery2026

4D automatic left atrial quantification technology-recommended for evaluating the impact of peritoneal dialysis on the left atrium of chronic kidney disease stage 5 patients.

Lingxiang Ma, Mei Jin, Bing Li, Xuning Huang, Meihua Chen

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Article in Quantitative imaging in medicine and surgery, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Lingxiang MaDepartment of Ultrasound Medicine, The Second Affiliated Hospital of Hainan Medical University, Haikou, China.ORCID https://orcid.org/0009-0003-0337-231X
Mei JinDepartment of Ultrasound Medicine, The Second Affiliated Hospital of Hainan Medical University, Haikou, China.ORCID https://orcid.org/0009-0002-5604-8938
Bing LiDepartment of Ultrasound Medicine, The Second Affiliated Hospital of Hainan Medical University, Haikou, China.ORCID https://orcid.org/0009-0005-6853-6850
Xuning HuangDepartment of Ultrasound Medicine, The Second Affiliated Hospital of Hainan Medical University, Haikou, China.ORCID https://orcid.org/0000-0001-8335-9454
Meihua ChenDepartment of Ultrasound Medicine, The Second Affiliated Hospital of Hainan Medical University, Haikou, China.ORCID https://orcid.org/0000-0002-8357-0249

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Early detection of the changes of left atrial (LA) structure and function in uremic patients after peritoneal dialysis (PD) treatment facilitates clinical evaluation and early intervention. This study aimed to construct a model using the four-dimensional automatic LA quantification technique (4D-LAQ) to evaluate the impact of PD on the left atrium of patients with chronic kidney disease stage 5 (CKD-5). Methods: This study included 109 patients with CKD-5 and 38 age- and gender-matched healthy volunteers. The required clinical and ultrasound parameters were collected from all participants. Continuous variables were expressed as mean ± standard deviation or median (interquartile range), whereas categorical variables were presented as frequency (percentage). Independent risk factors associated with PD treatment were identified using binary logistic regression analysis, which was also employed to construct a predictive model. The performance of this model was assessed using receiver operating characteristic (ROC) curve analysis, with the area under the curve (AUC) and its confidence interval (CI) calculated to quantify predictive accuracy. A P value <0.05 was considered statistically significant. Results: (I) Compared with group n, the LA volume of CKD-5 patients was higher. (II) Compared with the PD group, maximum left atrial volume (LAVmax), left atrial pre-atrial contraction volume (LAVpreA), left atrial maximum volume index (LAVImax), and left atrial ejection volume (LAEV) in the CK5 stage (N-PD) group increased (P<0.05). (III) 4D-LAQ can be used to construct a risk model for predicting adverse cardiovascular events, for which LAVImax is an independent risk factor. (IV) LAVImax, New York Heart Association (NYHA) heart function classification ≥ II, and E/e' ≥14 combined had the largest AUC. Conclusions: The 4D-LAQ technique can be used to evaluate the effect of PD on the left atrium of CKD-5 patients, and can predict the probability of adverse cardiovascular events in CKD-5 patients after PD.

Indexed as

chronic kidney disease stage 5 (CKD-5)Four-dimensional automatic left atrial quantitative technology (4D-LAQ)left atrial enlargement (LA enlargement)peritoneal dialysis (PD)

Identifiers

PMID41816030
PMCPMC12971368

What Socratic holds

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LicenceCC BY-NC-ND
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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 Socratic graph.