Effect of poor oral health status at hospital admission on in-hospital outcomes of older patients with aspiration pneumonia

Yamaguchi, Kohei; Miyagami, Taiju; Imada, Ryoko; Kushiro, Seiko; Yanagida, Ryosuke; Morikawa, Toru; Nakagawa, Kazuharu; Yoshimi, Kanako; Naito, Toshio; Tohara, Haruka

doi:10.1007/s41999-023-00917-4

Cited by 1 publication

(1 citation statement)

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“…It becomes an independent risk factor for various major adverse cardiovascular events, including death, stroke, readmission for heart failure, and postoperative cardiac complications ( 35 ). Additionally, frail patients are at a higher risk of developing sepsis, pneumonia, and kidney failure compared to non-frail individuals ( 36 ). However, the pathological mechanisms leading to frailty remain unclear, and there is a lack of recognized, accurate, and reliable biological markers for frailty ( 37–39 ).…”

Section: Discussionmentioning

confidence: 99%

Association of two novel systemic inflammatory biomarkers and frailty based on NHANES 2007–2018

Zhang,

Liu,

Wang

et al. 2024

Front. Public Health

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BackgroundFrailty is a significant concern in the field of public health. However, currently, there is a lack of widely recognized and reliable biological markers for frailty. This study aims to investigate the association between systemic inflammatory biomarkers and frailty in the older adult population in the United States.MethodsThis study employed data from the National Health and Nutrition Examination Survey (NHANES) spanning 2007 to 2018 and conducted a rigorous cross-sectional analysis. We constructed weighted logistic regression models to explore the correlation between the Systemic Immune-Inflammation Index (SII), Systemic Inflammatory Response Index (SIRI), and frailty in the population aged 40 to 80 years. Using restricted cubic spline (RCS), we successfully visualized the relationship between SII, SIRI, and frailty. Finally, we presented stratified analyses and interaction tests of covariates in a forest plot.ResultsThis study involved 11,234 participants, 45.95% male and 54.05% female, with an average age of 64.75 ± 0.13 years. After adjusting for relevant covariates, the weighted logistic regression model indicated an odds ratio (OR) and 95% confidence interval(CI) for the correlation between frailty and the natural logarithm (ln) transformed lnSII and lnSIRI as 1.38 (1.24–1.54) and 1.69 (1.53–1.88), respectively. Subsequently, we assessed different levels of lnSII and lnSIRI, finding consistent results. In the lnSII group model, the likelihood of frailty significantly increased in the fourth quartile (OR = 1.82, 95% CI: 1.55–2.12) compared to the second quartile. In the lnSIRI group model, the likelihood of frailty significantly increased in the third quartile (OR = 1.30, 95% CI: 1.10–1.53) and fourth quartile (OR = 2.29, 95% CI: 1.95–2.70) compared to the second quartile. The interaction results indicate that age and income-to-poverty ratio influence the association between lnSIRI and frailty. RCS demonstrated a nonlinear relationship between lnSII, lnSIRI, and frailty.ConclusionThe results of this cross-sectional study indicate a positive correlation between systemic inflammatory biomarkers (SII, SIRI) and frailty.

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Section: Discussionmentioning

confidence: 99%