High levels of C-reactive protein with low total cholesterol concentrations additively predict all-cause mortality in patients with coronary artery disease

A single administration of the antibiotic, minocycline, reduces fear processing and improves implicit learning in healthy volunteers: analysis of the serum metabolome

Minocycline has shown therapeutic promise in pre-clinical animal models and early phase clinical trials for a variety of psychiatric disorders. Previous studies on minocycline have shown its ability to suppress microglia activity and reduce inflammatory cytokine levels, and its amelioration of depressive-like behaviour in animals and humans. However, the underlying mechanisms that lead to minocycline's psychotropic effects are not clear. In this study, we investigated the psychological and biochemical effects of an acute dose of minocycline or placebo in 40 healthy adult volunteers. Psychological changes in emotional processing, implicit learning, and working memory were assessed. Plasma inflammatory markers, measured with enzyme-linked immunosorbent assays, and serum metabolites, measured with proton nuclear magnetic resonance combined with multi-variate analysis techniques, were also studied. Results showed that minocycline administration decreased fear misclassification and increased contextual learning, which suggested that reducing negative biases and improving cognition, respectively, may underlie the antidepressant actions of this agent. An examination of serum metabolites revealed higher levels of lipoproteins, particularly cholesterol, in the minocycline group. Minocycline also decreased circulating concentrations of the inflammatory marker C-Reactive Peptide, which is consistent with previous research. These effects highlight two important psychological mechanisms that may be relevant to the efficacy of minocycline reported in clinical trials, and also suggest a possible largely unexplored lipid-related biochemical pathway for the action of this drug.

Using nationwide ‘big data’ from linked electronic health records to help improve outcomes in cardiovascular diseases: 33 studies using methods from epidemiology, informatics, economics and social science in the ClinicAl disease research using LInked Bespoke studies and Electronic health Records (CALIBER) programme

Background

Electronic health records (EHRs), when linked across primary and secondary care and curated for research use, have the potential to improve our understanding of care quality and outcomes.

Objective

To evaluate new opportunities arising from linked EHRs for improving quality of care and outcomes for patients at risk of or with coronary disease across the patient journey.

Design

Epidemiological cohort, health informatics, health economics and ethnographic approaches were used.

Setting

230 NHS hospitals and 226 general practices in England and Wales.

Participants

Up to 2 million initially healthy adults, 100,000 people with stable coronary artery disease (SCAD) and up to 300,000 patients with acute coronary syndrome.

Main outcome measures

Quality of care, fatal and non-fatal cardiovascular disease (CVD) events.

Data platform and methods

We created a novel research platform [ClinicAl disease research using LInked Bespoke studies and Electronic health Records (CALIBER)] based on linkage of four major sources of EHR data in primary care and national registries. We carried out 33 complementary studies within the CALIBER framework. We developed a web-based clinical decision support system (CDSS) in hospital chest pain clinics. We established a novel consented prognostic clinical cohort of SCAD patients.

Results

CALIBER was successfully established as a valid research platform based on linked EHR data in nearly 2 million adults with > 600 EHR phenotypes implemented on the web portal (seehttps://caliberresearch.org/portal). Despite national guidance, key opportunities for investigation and treatment were missed across the patient journey, resulting in a worse prognosis for patients in the UK compared with patients in health systems in other countries. Our novel, contemporary, high-resolution studies showed heterogeneous associations for CVD risk factors across CVDs. The CDSS did not alter the decision-making behaviour of clinicians in chest pain clinics. Prognostic models using real-world data validly discriminated risk of death and events, and were used in cost-effectiveness decision models.

Conclusions

Emerging ‘big data’ opportunities arising from the linkage of records at different stages of a patient’s journey are vital to the generation of actionable insights into the diagnosis, risk stratification and cost-effective treatment of people at risk of, or with, CVD.

Future work

The vast majority of NHS data remain inaccessible to research and this hampers efforts to improve efficiency and quality of care and to drive innovation. We propose three priority directions for further research. First, there is an urgent need to ‘unlock’ more detailed data within hospitals for the scale of the UK’s 65 million population. Second, there is a need for scaled approaches to using EHRs to design and carry out trials, and interpret the implementation of trial results. Third, large-scale, disease agnostic genetic and biological collections linked to such EHRs are required in order to deliver precision medicine and to innovate discovery.

Study registration

CALIBER studies are registered as follows: study 2 – NCT01569139, study 4 – NCT02176174 and NCT01164371, study 5 – NCT01163513, studies 6 and 7 – NCT01804439, study 8 – NCT02285322, and studies 26–29 – NCT01162187. Optimising the Management of Angina is registered as Current Controlled Trials ISRCTN54381840.

Funding

The National Institute for Health Research (NIHR) Programme Grants for Applied Research programme (RP-PG-0407-10314) (all 33 studies) and additional funding from the Wellcome Trust (study 1), Medical Research Council Partnership grant (study 3), Servier (study 16), NIHR Research Methods Fellowship funding (study 19) and NIHR Research for Patient Benefit (study 33).

Effect of Dexamethasone on Atrial Fibrillation After Cardiac Surgery: Prospective, Randomized, Double-Blind, Placebo-Controlled Trial

OBJECTIVE

The purpose of this study was to assess the effect of preoperative dexamethasone (DEX) on the occurrence of postoperative atrial fibrillation (AF).

DESIGN

Prospective, randomized, double-blind, placebo-controlled clinical trial.

SETTING

Tertiary referral center.

PARTICIPANTS

Seventy-eight adult patients undergoing combined valve and coronary artery bypass graft (CABG) surgery were randomized to receive either DEX or placebo.

INTERVENTIONS

The DEX group received dexamethasone, 0.6 mg/kg, after induction of anesthesia, and the placebo group received an equal volume of normal saline. Interleukin (IL)-6, -8, and -10; tumor necrosis factor alpha; and endothelin (ET)-1 were measured preoperatively and on postoperative days (POD) 1, 2, and 3. Complement (C-4) and C-reactive protein (CRP) were measured preoperatively and on POD 2. Exhaled nitric oxide (NO) was measured preoperatively, 15 minutes after aortic unclamping, and 1 hour after intensive care unit admission.

MEASUREMENTS AND MAIN RESULTS

No significant difference in the incidence of AF was found between the placebo (41%) and DEX groups (30%) (95% confidence interval [-11%, 34%); p = 0.31). DEX significantly reduced at least 1 postoperative level of IL-6, IL-8, IL-10, CRP, and exhaled NO. DEX did not affect ET-1 or C-4 levels. IL-10 on POD 3 was positively correlated with postoperative hospital length of stay (r = 0.30, p = 0.01). Increased levels of IL-8 and IL-10 on POD 1 were positively correlated with the intubation time (r = 0.31, p = 0.01; r = 0.30, p = 0.01, respectively). Conversely, C-4 on POD 2 was negatively correlated with the intubation time and intensive care unit length of stay (r = -0.32, p = 0.006; r = -0.30, p = 0.01, respectively).

CONCLUSIONS

DEX did not affect the incidence of AF in patients undergoing combined CABG and valve surgery. However, it did modulate the release of several inflammatory and acute-phase response mediators that are associated with adverse outcomes.

Admission C-reactive protein serum levels and survival in patients with acute myocardial infarction with persistent ST elevation

OBJECTIVE

To evaluate the prognostic value of a single and early determination of high sensitivity C-reactive protein levels at admittance in patients with acute myocardial infarction with persistent ST elevation.

PATIENTS AND METHODS

We evaluated high-sensitivity C-reactive protein levels in 247 consecutive acute myocardial infarction with persistent ST elevation patients at admittance. Patients were monitored for the occurrence of major adverse cardiovascular events.

RESULTS

Mean follow-up was 26 months. High C-reactive protein levels were principally associated with age > or = 65 years (P=0.01), diabetes (P=0.03) and reduced left ventricle ejection fraction (P=0.048). We observed a significant C-reactive protein level difference between the major adverse cardiovascular event-free group and the major adverse cardiovascular event group (28.2+/-21.9 vs. 47.7+/-31.9 mg/l, P=0.03), between deceased patients group (vs. 81.5+/-51.8 mg/l, P<0.001) and early deaths (vs. 129.5+/-71.9 mg/l, P<0.001). Kaplan-Meier plots for survival and major adverse cardiovascular event occurrence showed a significant separation (P=0.01 and 0.002 by log-rank test, respectively) between high and low C-reactive protein level groups. C-reactive protein levels were independent risk predictors of major adverse cardiovascular events (odds ratio 2.931, 95% confidence interval 1.512-5.893; P=0.046) and death (odds ratio 5.068, 95% confidence interval 2.056-20.195; P=0.04). Patients with high C-reactive protein levels and age > or = 65 years were at highest risk for major adverse cardiovascular event occurrence (odds ratio 5.658, 95% confidence interval 2.898-6.249; P=0.022) and death (odds ratio 8.120, 95% confidence interval 5.656-22.729; P=0.03).

CONCLUSIONS

High C-reactive protein levels identify patients with a worse prognosis after acute myocardial infarction with persistent ST elevation. The evaluation of C-reactive protein and age may provide a tool to select high-risk patients.

Adiponectin is a candidate marker of metabolic syndrome in obese children and adolescents

The aim of this study was to compare the use of several biomarkers to identify obese children and adolescents with increased metabolic risk. One hundred sixty-two Caucasian obese children and adolescents (41% males, 9-18 years old) referred to the Istituto Auxologico Italiano between 2003 and 2004 underwent an oral glucose tolerance test. Circulating levels of adiponectin (AD), plasminogen activator inhibitor 1 (PAI-1), interleukin 18 (IL-18), C-reactive protein (CRP), fibrinogen, uric acid, lipids and insulin were measured. Twenty five percent of obese children had the MS defined using World Health Organization-derived child specific criteria. MS subjects had significantly lower AD (p<0.01) and higher log-PAI-1 (p<0.001), uric acid (p<0.0001), and IL-18 (p<0.001). Subjects with AD levels </=median value had a significantly increased risk of having the MS (p<0.0001), as did subjects with uric acid and PAI-1 levels greater than the median. There was no increased risk with elevated IL-18, CRP, or fibrinogen. Hypoadiponectinemia was independently associated with the MS risk (p<0.0001). In conclusion in obese children and adolescents AD is the best predictor of MS and thus of higher cardiovascular disease risk.