Evidence map›Paper›PMID 41942975›Full record

ArticleBMC pulmonary medicine2026

Predictive value of the atherogenic index of plasma for incident hypertension in patients with obstructive sleep apnea.

Shurun Zuo, Yonghong Xu, Lei Ma, Yongliang Du, Haiquan Li

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Article in BMC pulmonary medicine, 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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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Shurun ZuoDepartment of Respiratory and Critical Care Medicine, The Second Affiliated Hospital of Xuzhou Medical University, Xuzhou, 221000, China.
Yonghong XuDepartment of Respiratory and Critical Care Medicine, The Second Affiliated Hospital of Xuzhou Medical University, Xuzhou, 221000, China.
Lei MaDepartment of Respiratory and Critical Care Medicine, The Second Affiliated Hospital of Xuzhou Medical University, Xuzhou, 221000, China.
Yongliang DuDepartment of Respiratory and Critical Care Medicine, The Second Affiliated Hospital of Xuzhou Medical University, Xuzhou, 221000, China.
Haiquan LiDepartment of Respiratory and Critical Care Medicine, The Second Affiliated Hospital of Xuzhou Medical University, Xuzhou, 221000, China. lz05200@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundObstructive sleep apnea (OSA) is a major risk factor for hypertension, yet the role of lipid metabolism in this association remains unclear. The atherogenic index of plasma (AIP) reflects lipid dysregulation and atherosclerotic risk, but its value in predicting incident hypertension among OSA patients has not been well established.

methodsThis retrospective study included 175 OSA patients diagnosed by polysomnography between January 2021 and January 2024. Patients were divided into a hypertension group (n = 84) and a non-hypertension group (n = 91) based on the occurrence of hypertension. Clinical, lipid, and sleep parameters were collected. Logistic regression was used to identify independent risk factors, and a nomogram model was constructed. Model performance was evaluated using receiver operating characteristic (ROC) curves, calibration curves, and decision curve analysis (DCA). Net reclassification improvement (NRI) and integrated discrimination improvement (IDI) were also calculated.

resultsPatients with incident hypertension had higher age, BMI, and AIP levels, and lower minimum oxygen saturation (LsPO₂) (all P < 0.05). Multivariate analysis revealed that age, BMI, and AIP were independent risk factors, whereas LsPO₂ was a protective factor. Each 0.1-unit increase in AIP was associated with an 8% higher risk (OR = 1.08, 95% CI: 1.05–1.12, P < 0.001), and individuals in the highest tertile had a 2.73-fold greater risk. Incorporating AIP into the combined model increased the AUC from 0.729 to 0.810 (P < 0.001), with NRI = 0.416 and IDI = 0.054 (both P < 0.001). The nomogram showed good calibration, and DCA indicated high clinical net benefit across a wide threshold range.

conclusionsAIP is an independent predictor of incident hypertension in OSA patients. The nomogram integrating AIP enables individualized risk assessment and demonstrates good predictive performance and clinical utility.

Indexed as

AtherosclerosisHypertensionSleep Apnea, ObstructiveAdultFemaleHumansIncidenceLogistic ModelsMaleMiddle AgedNomogramsPolysomnographyPredictive Value of TestsRetrospective StudiesRisk AssessmentRisk FactorsAtherogenic index of plasmaHypertensionNomogramObstructive sleep apneaRisk prediction model

Identifiers

PMID41942975
PMCPMC13185369

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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 OpenQuestion graph.