Association between GDF-15 levels and changes in vascular and physical function in older patients with hypertension

Background: Growth differentiation factor-15 (GDF-15) may be a biomarker of disease, protective response and/or prognosis, in older people with hypertension. Aims: To correlate baseline GDF-15 levels with physical and vascular health data in this population. Methods: Baseline blood samples were analysed using a GDF-15 ELISA assay kit. Correlations with baseline and 12-month outcome data, including measures of physical and vascular function, were performed. Results: A total of 147 individuals, mean age 76.8 ± 4.7 years, were included. 77 (52 %) were male. Baseline log10GDF-15 showed significant correlations with age (r = 0.37, p < 0.001), total cholesterol (r = −0.33, p < 0.001) and 6-min walking distance (r = −0.37, p < 0.001). Age remained significantly associated with log10GDF-15 in multivariable analysis (beta = −0.29, p = 0.001). Baseline log10GDF-15 was significantly associated with decline in 6-min walk distance over 12 months (beta = −0.27, p = 0.01) in multivariable models. No significant correlations were seen with changes in vascular function over 12 months. Conclusion: Baseline GDF-15 predicts declining physical, but not vascular, function in our population

Slower Decline in C-Reactive Protein after an Inflammatory Insult Is Associated with Longer Survival in Older Hospitalised Patients

Background Enhancing biological resilience may offer a novel way to prevent and ameliorate disease in older patients. We investigated whether changes in C-reactive protein (CRP), as a dynamic marker of the acute inflammatory response to diverse stressors, may provide a way to operationalize the concept of resilience in older adults. We tested this hypothesis by examining whether such changes could predict prognosis by identifying which individuals are at greater risk of 6-month mortality. Methods Analysis of prospective, routinely collected datasets containing data on hospitalization, clinical chemistry and rehabilitation outcomes for rehabilitation inpatients between 1999 and 2011. Maximum CRP response during acute illness and CRP recovery indices (time and slope of CRP decay to half maximum, and t

Serum Sodium Level Variability As A Prognosticator In Older Adults

Our aim was to explore biological variation of serum sodium levels as a method of quantifying health risk in older adults. We investigated whether dynamic changes in serum sodium levels could provide additional prognostic information to standard predictors of mortality in older people. Analysis of routinely collected clinical datasets containing information on demographics, hospitalisation, biochemistry, haematology and physical function for Dundee in-patient rehabilitation services, between 1999 and 2011. Older people admitted to inpatient rehabilitation following an acute medical or surgical hospitalisation. Five dynamic measures of sodium levels homeostasis – minimum, maximum, standard deviation, and minimum and maximum deviation from mean – were derived for each individual, using biochemistry data from the year preceding their rehabilitation discharge. Cox regression models tested for associations with time to death. Covariates included age, sex, discharge Barthel score, co-morbid diagnoses, haemoglobin, albumin and eGFR. 3021 patients were included (mean age 84 years, 1776 (58.8%) females). 1651 (54.7%) patients experienced hyponatraemia and 446 (14.8%) became hypernatraemic. Mean sodium was correlated with all mean, minimum and SD of sodium. Kaplan–Meier survival curves showed that those without sodium perturbations had the best mortality outcomes, whilst those with both hyponatremia and hypernatremia had the worst. Multivariate Cox regression showed that standard deviation and hypernatraemia were significant predictors of death in non-adjusted models, but not fully adjusted models. All dynamic measures of dysnatraemia were associated with increased mortality risk, but failed to add predictive value to established static measures after adjusting for covariates

Univariate Cox Regression Model: Predictors of death within 6 months.

<p>Univariate Cox Regression Model: Predictors of death within 6 months.</p

Correlation between CRP markers, Barthel scores and length of stay.

<p>Correlation between CRP markers, Barthel scores and length of stay.</p

Multivariate Cox Regression Model: CRP measurements as predictors of death within 6 months.

<p>Multivariate Cox Regression Model: CRP measurements as predictors of death within 6 months.</p

6-month survival by quartiles of time for C-reactive protein to fall to half maximum level.

<p>6-month survival by quartiles of time for C-reactive protein to fall to half maximum level.</p

6-month survival by quartiles of maximum C-reactive protein.

<p>6-month survival by quartiles of maximum C-reactive protein.</p

Baseline Population Characteristics of Cohort of Patients Analyzed (n = 3723 unless otherwise stated).

<p>Baseline Population Characteristics of Cohort of Patients Analyzed (n = 3723 unless otherwise stated).</p