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Examination of nonlinear associations between pulse pressure index and incident prediabetes susceptibility: a 5-year retrospective cohort investigation.
Pan, Yucheng; Meng, Hong; Guo, Liang; Kong, Bin; Shuai, Wei; Huang, He.
Afiliación
  • Pan Y; Department of Cardiology, Renmin Hospital of Wuhan University, 238 Jiefang Road, Wuhan, 430060, Hubei, People's Republic of China.
  • Meng H; Hubei Key Laboratory of Cardiology, Wuhan, 430060, Hubei, People's Republic of China.
  • Guo L; Cardiovascular Research Institute of Wuhan University, Wuhan, 430060, Hubei, People's Republic of China.
  • Kong B; Department of Cardiology, Renmin Hospital of Wuhan University, 238 Jiefang Road, Wuhan, 430060, Hubei, People's Republic of China.
  • Shuai W; Hubei Key Laboratory of Cardiology, Wuhan, 430060, Hubei, People's Republic of China.
  • Huang H; Cardiovascular Research Institute of Wuhan University, Wuhan, 430060, Hubei, People's Republic of China.
Sci Rep ; 14(1): 17948, 2024 08 02.
Article en En | MEDLINE | ID: mdl-39095555
ABSTRACT
Prediabetes and related complications constitute significant public health burdens globally. As an indicator closely associated with abnormal glucose metabolism and atherosclerosis, the utility of Pulse Pressure Index (PPI) as a prediabetes risk marker has not been explored. We performed a retrospective cohort analysis to investigate this putative association between PPI and prediabetes hazard. Our analysis encompassed 183,517 Chinese adults ≥ 20 years registered within the Rich Healthcare Group 2010-2016. PPI was defined as (systolic blood pressure - diastolic blood pressure)/systolic blood pressure. The relationship between PPI and prediabetes risk was assessed via Cox proportional hazards regression modeling. Non-linearity evaluations applied cubic spline fitting approaches alongside smooth curve analysis. Inflection points of PPI concerning prediabetes hazard were determined using two-piecewise Cox models. During a median follow-up of 3 years (2.17-3.96 years), new-onset prediabetes was documented in 20,607 patients (11.23%). Multivariate regression analysis showed that PPI was an independent risk factor for prediabetes, and the risk of prediabetes increased by 0.6% for every 1% increase in PPI (Hazard Ratio [HR] 1.006, 95% Confidence Interval [CI] 1.004-1.008, P < 0.001). This association was non-significant for PPI ≤ 37.41% yet exhibited a sharp upsurge when PPI surpassed 37.41% (HR 1.013, 95% CI 1.005-1.021, P = 0.0029). Our analysis unveils a positive, non-linear association between PPI and future prediabetes risk. Within defined PPI ranges, this relationship is negligible but dramatically elevates beyond identified thresholds.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Estado Prediabético / Presión Sanguínea Límite: Adult / Aged / Female / Humans / Male / Middle aged País/Región como asunto: Asia Idioma: En Revista: Sci Rep Año: 2024 Tipo del documento: Article Pais de publicación: Reino Unido

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Estado Prediabético / Presión Sanguínea Límite: Adult / Aged / Female / Humans / Male / Middle aged País/Región como asunto: Asia Idioma: En Revista: Sci Rep Año: 2024 Tipo del documento: Article Pais de publicación: Reino Unido