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  • Springer Science and Business Media LLC  (5)
  • Yang, Xiaohong  (5)
  • Zhu, Zhuoting  (5)
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  • Springer Science and Business Media LLC  (5)
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  • 1
    Online Resource
    Online Resource
    Plasma metabolomic profiles of dementia: a prospective study of 110,655 participants in the UK Biobank
    Springer Science and Business Media LLC ; 2022
    In:  BMC Medicine Vol. 20, No. 1 ( 2022-08-15)
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    In: BMC Medicine, Springer Science and Business Media LLC, Vol. 20, No. 1 ( 2022-08-15)
    Abstract: Plasma metabolomic profile is disturbed in dementia patients, but previous studies have discordant conclusions. Methods Circulating metabolomic data of 110,655 people in the UK Biobank study were measured with nuclear magnetic resonance technique, and incident dementia records were obtained from national health registers. The associations between plasma metabolites and dementia were estimated using Cox proportional hazard models. The 10-fold cross-validation elastic net regression models selected metabolites that predicted incident dementia, and a 10-year prediction model for dementia was constructed by multivariable logistic regression. The predictive values of the conventional risk model, the metabolites model, and the combined model were discriminated by comparison of area under the receiver operating characteristic curves (AUCs). Net reclassification improvement (NRI) was used to estimate the change of reclassification ability when adding metabolites into the conventional prediction model. Results Amongst 110,655 participants, the mean (standard deviation) age was 56.5 (8.1) years, and 51 186 (46.3%) were male. A total of 1439 (13.0%) developed dementia during a median follow-up of 12.2 years (interquartile range: 11.5–12.9 years). A total of 38 metabolites, including lipids and lipoproteins, ketone bodies, glycolysis-related metabolites, and amino acids, were found to be significantly associated with incident dementia. Adding selected metabolites ( n =24) to the conventional dementia risk prediction model significantly improved the prediction for incident dementia (AUC: 0.824 versus 0.817, p =0.042) and reclassification ability (NRI = 4.97%, P = 0.009) for identifying high risk groups. Conclusions Our analysis identified various metabolomic biomarkers which were significantly associated with incident dementia. Metabolomic profiles also provided opportunities for dementia risk reclassification. These findings may help explain the biological mechanisms underlying dementia and improve dementia prediction.
    Type of Medium: Online Resource
    ISSN: 1741-7015
    URL: Article
    DOI: 10.1186/s12916-022-02449-3
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2022
    detail.hit.zdb_id: 2131669-7
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  • 2
    Online Resource
    Online Resource
    Association between dual sensory impairment and risk of mortality: a cohort study from the UK Biobank
    Springer Science and Business Media LLC ; 2022
    In:  BMC Geriatrics Vol. 22, No. 1 ( 2022-08-01)
    Details
    In: BMC Geriatrics, Springer Science and Business Media LLC, Vol. 22, No. 1 ( 2022-08-01)
    Abstract: Dual sensory impairment is affecting over 10% of older adults worldwide. However, the long-term effect of dual sensory impairment (DSI) on the risk of mortality remains controversial. We aim to investigate the impact of single or/and dual sensory impairment on the risk of mortality in a large population-based sample of the adult in the UK with 14-years of follow-up. Methods This population-based prospective cohort study included participants aged 40 and over with complete records of visual and hearing functions from the UK Biobank study. Measurements of visual and hearing functions were performed at baseline examinations between 2006 and 2010, and data on mortality was obtained by 2021. Dual sensory impairment was defined as concurrent visual and hearing impairments. Cox proportional hazards regression models were employed to evaluate the impact of sensory impairment (dual sensory impairment, single visual or hearing impairment) on the hazard of mortality. Results Of the 113,563 participants included in this study, the mean age (standard deviation) was 56.8 (8.09) years, and 61,849 (54.5%) were female. At baseline measurements, there were 733 (0.65%) participants with dual sensory impairment, 2,973 (2.62%) participants with single visual impairment, and 13,560 (11.94%) with single hearing impairment. After a follow-up period of 14 years (mean duration of 11 years), 5,992 (5.28%) participants died from all causes. Compared with no sensory impairment, dual sensory impairment was significantly associated with an estimated 44% higher hazard of mortality (hazard ratio: 1.44 [95% confidence interval, 1.11–1.88], p  = 0.007) after multiple adjustments. Conclusions Individuals with dual sensory impairment were found to have an independently 44% higher hazard of mortality than those with neither sensory impairment. Timely intervention of sensory impairment and early prevention of its underlying causes should help to reduce the associated risk of mortality.
    Type of Medium: Online Resource
    ISSN: 1471-2318
    URL: Article
    DOI: 10.1186/s12877-022-03322-x
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2022
    detail.hit.zdb_id: 2059865-8
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  • 3
    Online Resource
    Online Resource
    Correction: Association between dual sensory impairment and risk of mortality: a cohort study from the UK Biobank
    Springer Science and Business Media LLC ; 2022
    In:  BMC Geriatrics Vol. 22, No. 1 ( 2022-08-26)
    Details
    In: BMC Geriatrics, Springer Science and Business Media LLC, Vol. 22, No. 1 ( 2022-08-26)
    Type of Medium: Online Resource
    ISSN: 1471-2318
    URL: Article
    DOI: 10.1186/s12877-022-03384-x
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2022
    detail.hit.zdb_id: 2059865-8
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  • 4
    Online Resource
    Online Resource
    Retinal age gap as a predictive biomarker of stroke risk
    Springer Science and Business Media LLC ; 2022
    In:  BMC Medicine Vol. 20, No. 1 ( 2022-11-30)
    Details
    In: BMC Medicine, Springer Science and Business Media LLC, Vol. 20, No. 1 ( 2022-11-30)
    Abstract: The aim of this study is to investigate the association of retinal age gap with the risk of incident stroke and its predictive value for incident stroke. Methods A total of 80,169 fundus images from 46,969 participants in the UK Biobank cohort met the image quality standard. A deep learning model was constructed based on 19,200 fundus images of 11,052 disease-free participants at baseline for age prediction. Retinal age gap (retinal age predicted based on the fundus image minus chronological age) was generated for the remaining 35,917 participants. Stroke events were determined by data linkage to hospital records on admissions and diagnoses, and national death registers, whichever occurred earliest. Cox proportional hazards regression models were used to estimate the effect of retinal age gap on risk of stroke. Logistic regression models were used to estimate the predictive value of retinal age and well-established risk factors in 10-year stroke risk. Results A total of 35,304 participants without history of stroke at baseline were included. During a median follow-up of 5.83 years, 282 (0.80%) participants had stroke events. In the fully adjusted model, each one-year increase in the retinal age gap was associated with a 4% increase in the risk of stroke (hazard ratio [HR] = 1.04, 95% confidence interval [CI] : 1.00–1.08, P = 0.029). Compared to participants with retinal age gap in the first quintile, participants with retinal age gap in the fifth quintile had significantly higher risks of stroke events (HR = 2.37, 95% CI: 1.37–4.10, P = 0.002). The predictive capability of retinal age alone was comparable to the well-established risk factor-based model (AUC=0.676 vs AUC=0.661, p =0.511). Conclusions We found that retinal age gap was significantly associated with incident stroke, implying the potential of retinal age gap as a predictive biomarker of stroke risk.
    Type of Medium: Online Resource
    ISSN: 1741-7015
    URL: Article
    DOI: 10.1186/s12916-022-02620-w
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2022
    detail.hit.zdb_id: 2131669-7
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  • 5
    Online Resource
    Online Resource
    Determinants of incident atherosclerotic cardiovascular disease events among individuals with type 2 diabetic microvascular complications in the UK: a prospective cohort study
    Springer Science and Business Media LLC ; 2023
    In:  Diabetology & Metabolic Syndrome Vol. 15, No. 1 ( 2023-08-29)
    Details
    In: Diabetology & Metabolic Syndrome, Springer Science and Business Media LLC, Vol. 15, No. 1 ( 2023-08-29)
    Abstract: To evaluate the association of atherosclerotic cardiovascular disease (ASCVD) risk factors with incident ASCVD events among type 2 diabetes (T2D) individuals with microvascular complications. Methods We included T2D participants with only microvascular complications from the UK Biobank cohort at baseline (2006–2010). Multivariable-adjusted Cox proportional hazards models were used to study the association between ASCVD risk factors with adjudicated incident ASCVD in T2D participants with only microvascular complications. A restricted cubic spline approach was employed to evaluate potential nonlinear associations between ASCVD risk factors and ASCVD. Results We studied 4,129 T2D individuals with microvascular complications at baseline. Over a median follow-up of 11.7 years, a total of 1,180 cases of incident ASCVD were documented, of which 1,040 were CHD, 100 were stroke, and 40 were both CHD and stroke events. After multivariable-adjustment, high-density lipoprotein cholesterol (HDL-C) level was linearly associated with a decreased risk of incident ASCVD [hazard ratio (HR): 0.49, 95% Confidence interval (CI): 0.32–0.75, P linear = 0.011] and each 10 nmol/L increase of lipoprotein(a) [Lp(a)] level (HR: 1.02, 95% CI: 1.00-1.04, P linear = 0.012) was linearly associated with an increased risk of incident ASCVD in T2D participants with only microvascular complications. Conclusion HDL-C levels and Lp(a) levels (per 10 nmol/L) showed an independent linear relation with ASCVD risk among T2D individuals with only microvascular complications at long-term follow-up.
    Type of Medium: Online Resource
    ISSN: 1758-5996
    URL: Article
    DOI: 10.1186/s13098-023-01152-4
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2023
    detail.hit.zdb_id: 2518786-7
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