Current Practices of Medication Plans in Austrian Patients Undergoing Coronary Angiography: An In-Depth Analysis.

A complete medication plan (MPlan) increases medication safety and adherence and is crucial in care transitions. Countries that implemented a standardized MPlan reported benefits on patients' understanding and handling of their medication. Austria lacks such a standardization, with no available data on the issue. Objective: This study aimed to investigate the current state of all medication documentations (MDocs) at hospital admission in a population at high risk for polypharmacy in Austria. Methods: We enrolled 512 consecutive patients undergoing elective coronary angiography. Their MDocs and medications were recorded at admission. MDocs were categorized, whereby a MPlan was defined as a tabular list including medication name, dose, route, frequency and patient name. Results: Out of 485 patients, 55.1% had an MDoc (median number of drugs: 6, range 2-17), of whom 24.7% had unstructured documentation, 18.0% physicians' letters and 54.3% MPlans. Polypharmacy patients did not have a MDoc in 31.3%. Crucial information as the patients's name or the originator of the MDoc was missing in 31.1% and 20.4%, respectively. Patients with MDoc provided more comprehensive medication information (p = 0.019), although over-the-counter-medication was missing in 94.5% of MDocs. A discrepancy between the MPlan and current medication at admission existed in 64.4%. In total, only 10.7% of our patient cohort presented an MPlan that was in accordance with their current medication. Conclusion: The situation in Austria is far from a standardized MPlan generated in daily routine. Numerous MPlans do not represent the current medication and could pose a potential risk for the effectiveness and safety of pharmacotherapy.

Machine Learning Approach to Metabolomic Data Predicts Type 2 Diabetes Mellitus Incidence.

Metabolomics, with its wealth of data, offers a valuable avenue for enhancing predictions and decision-making in diabetes. This observational study aimed to leverage machine learning (ML) algorithms to predict the 4-year risk of developing type 2 diabetes mellitus (T2DM) using targeted quantitative metabolomics data. A cohort of 279 cardiovascular risk patients who underwent coronary angiography and who were initially free of T2DM according to American Diabetes Association (ADA) criteria was analyzed at baseline, including anthropometric data and targeted metabolomics, using liquid chromatography (LC)-mass spectroscopy (MS) and flow injection analysis (FIA)-MS, respectively. All patients were followed for four years. During this time, 11.5% of the patients developed T2DM. After data preprocessing, 362 variables were used for ML, employing the Caret package in R. The dataset was divided into training and test sets (75:25 ratio) and we used an oversampling approach to address the classifier imbalance of T2DM incidence. After an additional recursive feature elimination step, identifying a set of 77 variables that were the most valuable for model generation, a Support Vector Machine (SVM) model with a linear kernel demonstrated the most promising predictive capabilities, exhibiting an F1 score of 50%, a specificity of 93%, and balanced and unbalanced accuracies of 72% and 88%, respectively. The top-ranked features were bile acids, ceramides, amino acids, and hexoses, whereas anthropometric features such as age, sex, waist circumference, or body mass index had no contribution. In conclusion, ML analysis of metabolomics data is a promising tool for identifying individuals at risk of developing T2DM and opens avenues for personalized and early intervention strategies.

Interplay of inflammatory markers and anti-SARS-CoV-2 antibodies in COVID-19 mortality: A prospective cohort study.

OBJECTIVES: Despite high global vaccination coverage, it remains unclear how vaccination and anti-SARS-CoV-2 antibodies affect immune responses and inflammation levels in patients with COVID-19. It is further unclear whether the inflammatory response differs depending on antibody levels and whether the combination of antibody and inflammation levels in COVID-19 patients affects mortality rates. METHODS: We conducted a prospective multicenter cohort study that included 1031 hospitalized COVID-19 patients from five hospitals. Anti-SARS-CoV-2-spike antibodies, interleukin-6 (IL6), and CRP were measured on hospital admission. The prespecified endpoint was all-cause in-hospital mortality. RESULTS: We observed significantly lower levels of CRP (P<0.001) and IL6 (P<0.001) in patients with antibody levels above 1200 BAU/ml. After adjusting for potential confounders, patients with high levels of inflammatory markers (CRP>6 mg/dl or IL6>100 pg/ml) combined with low levels of anti-SARS-CoV-2-spike antibodies (<1200 BAU/ml) were approximately 8 times more likely to die than patients with low inflammatory responses and high antibody levels (CRP: aHR 7.973, 95% CI 2.744-23.169, P<0.001; IL6: aHR 8.973, 95% CI 3.549-22.688, P<0.001). CONCLUSION: Hospitalized COVID-19 patients presenting with high inflammatory markers and low antibody levels exhibited the highest mortality risks. Higher antibody levels are associated with lower levels of inflammation in hospitalized COVID-19 patients.

The value of earlier-in-life systolic and diastolic blood pressure for cardiovascular risk prediction.

Blood pressure (BP) varies over a lifetime. This cardiovascular observation study (OS) compared the predictive value of earlier- and later-in-life blood pressure (BP) in 1,497 cardiovascular disease patients utilizing readings taken during a health survey (HS) and 15 years later from the same subjects at the baseline of this OS. Prediction of the cardiovascular risk during the OS follow-up (21 years) was significantly more effective if the earlier BP readings at HS were used instead of recent OS readings (NRI = 0.30, p < 0.001). For HS readings, each 10 mm Hg increase of systolic and diastolic BP was associated with a 17% and 20% higher risk, respectively. At OS, systolic BP lost significance and diastolic BP reversed its association. Noteworthy, different BP categorizations (European vs. US guidelines) yielded similar results. This study highlights the poor predictive power of BP readings in elderly cardiovascular disease patients but emphasizes the significant prognostic value of earlier-in-life BP.

Ceramides improve cardiovascular risk prediction beyond low-density lipoprotein cholesterol.

Aims: Low-density lipoprotein cholesterol (LDL-C) is the best documented cardiovascular risk predictor and at the same time serves as a target for lipid-lowering therapy. However, the power of LDL-C to predict risk is biased by advanced age, comorbidities, and medical treatment, all known to impact cholesterol levels. Consequently, such biased patient cohorts often feature a U-shaped or inverse association between LDL-C and cardiovascular or overall mortality. It is not clear whether these constraints for risk prediction may likewise apply to other lipid risk markers in particular to ceramides and phosphatidylcholines. Methods and results: In this observational cohort study, we recorded cardiovascular mortality in 1195 patients over a period of up to 16 years, comprising a total of 12 262 patient-years. The median age of patients at baseline was 67 years. All participants were either consecutively referred to elective coronary angiography or diagnosed with peripheral artery disease, indicating a high cardiovascular risk. At baseline, 51% of the patients were under statin therapy. We found a U-shaped association between LDL-C and cardiovascular mortality with a trough level of around 150 mg/dL of LDL-C. Cox regression analyses revealed that LDL-C and other cholesterol species failed to predict cardiovascular risk. In contrast, no U-shaped but linear association was found for ceramide- and phosphatidylcholine-containing markers and these markers were able to significantly predict the cardiovascular risk even after multivariate adjustment. Conclusion: We thus suggest that ceramides- and phosphatidylcholine-based predictors rather than LDL-C may be used for a more accurate cardiovascular risk prediction in high-risk patients.

Anti-SARS-CoV-2 antibody levels predict outcome in COVID-19 patients with type 2 diabetes: a prospective cohort study.

Patients with type 2 diabetes (T2D) constitute one of the most vulnerable subgroups in COVID-19. Despite high vaccination rates, a correlate of protection to advise vaccination strategies for novel SARS-CoV-2 variants of concern and lower mortality in this high-risk group is still missing. It is further unclear what antibody levels provide protection and whether pre-existing organ damage affects this threshold. To address these gaps, we conducted a prospective multicenter cohort study on 1152 patients with COVID-19 from five hospitals. Patients were classified by diabetes and vaccination status. Anti-SARS-CoV-2-spike-antibodies, creatinine and NTproBNP were measured on hospital admission. Pre-specified endpoints were all-cause in-hospital-mortality, ICU admission, endotracheal intubation, and oxygen administration. Propensity score matching was applied to increase comparability. We observed significantly lower anti-SARS-CoV-2-spike-antibodies in diabetic non-survivors compared to survivors (mean, 95% CI 351BAU/ml, 106-595 vs. 1123, 968-1279, p < 0.001). Mortality risk increased two-fold with each standard deviation-decrease of antibody levels (aHR 1.988, 95% CI 1.229-3.215, p = 0.005). T2D patients requiring oxygen administration, endotracheal intubation and ICU admission had significantly lower antibody levels than those who did not (p < 0.001, p = 0.046, p = 0.011). While T2D patients had significantly worse outcomes than non-diabetic patients, the differences were less pronounced compared to propensity-score-matched non-diabetic patients. Anti-SARS-CoV-2 spike antibodies on hospital admission are inversely associated with oxygen administration, endotracheal intubation, intensive care and in-hospital mortality in diabetic COVID-19 patients. Pre-existing comorbidities may have a greater impact on outcome than diabetes status alone.

Phosphorylated tau in Alzheimer's disease.

There is a need for blood biomarkers to detect individuals at different Alzheimer's disease (AD) stages because obtaining cerebrospinal fluid-based biomarkers is invasive and costly. Plasma phosphorylated tau proteins (p-tau) have shown potential as such biomarkers. This systematic review was conducted according to the PRISMA guidelines and aimed to determine whether quantification of plasma tau phosphorylated at threonine 181 (p-tau181), threonine 217 (p-tau217) and threonine 231 (p-tau231) is informative in the diagnosis of AD. All p-tau isoforms increase as a function of Aß-accumulation and discriminate healthy individuals from those at preclinical AD stages with high accuracy. P-tau231 increases earliest, followed by p-tau181 and p-tau217. In advanced stages, all p-tau isoforms are associated with the clinical classification of AD and increase with disease severity, with the greatest increase seen for p-tau217. This is also reflected by a better correlation of p-tau217 with Aß scans, whereas both, p-tau217 and p-tau181 correlated equally with tau scans. However, at the very advanced stages, p-tau181 begins to plateau, which may mirror the trajectory of the Aß pathology and indicate an association with a more intermediate risk of AD. Across the AD continuum, the incremental increase in all biomarkers is associated with structural changes in widespread brain regions and underlying cognitive decline. Furthermore, all isoforms differentiate AD from non-AD neurodegenerative disorders, making them specific for AD. Incorporating p-tau181, p-tau217 and p-tau231 in clinical use requires further studies to examine ideal cut-points and harmonize assays.

Coronary Event Risk Test (CERT) as a Risk Predictor for the 10-Year Clinical Outcome of Patients with Peripheral Artery Disease.

(1) Background: Ceramides are a new kind of lipid biomarker and have already been demonstrated to be valuable risk predictors in coronary patients. Patients with peripheral artery disease (PAD) are a population with a worse prognosis and higher mortality risk compared to coronary artery disease (CAD) patients. However, the value of ceramides for risk prediction in PAD patients is still vague, as addressed in the present study. (2)Methods: This observational study included 379 PAD patients. The primary endpoint was all-cause mortality at 10 years of follow-up. A set of ceramides was measured by LC-MS/MS and combined according to the Coronary Event Risk Test (CERT) score, which categorizes patients into one of four risk groups (low risk, moderate risk, high risk, very high risk). (3) Results: Kaplan-Meier survival curves revealed that the overall survival of patients decreased with the increasing risk predicted by the four CERT categories, advancing from low risk to very high risk. Cox regression analysis demonstrated that each one-category increase resulted in a 35% rise in overall mortality risk (HR = 1.35 [1.16-1.58]). Multivariable adjustment, including, among others, age, LDL-cholesterol, type 2 diabetes, and statin treatment before the baseline, did not abrogate this significant association (HR = 1.22 [1.04-1.43]). Moreover, we found that the beneficial effect of statin treatment is significantly stronger in patients with a higher risk, according to CERT. (4) Conclusions: We conclude that the ceramide-based risk score CERT is a strong predictor of the 10-year mortality risk in patients with PAD.

Circulating glypican-4 is a new predictor of all-cause mortality in patients with heart failure.

BACKGROUND: Heart failure confers a high burden of morbidity and mortality. However, risk prediction in heart failure patients still is limited. Blood-based biomarkers hold promise to improve clinical risk assessment. Recently we have identified circulating glypican-4 (GPC4) as a significant predictor of mortality in coronary angiography patients and patients with peripheral artery disease. The impact of serum GPC4 on mortality in patients with heart failure is unknown and is addressed in this prospective cohort study. METHODS: We prospectively recorded all-cause mortality in 288 patients with heart failure. GPC4 levels were measured using an enzyme-linked immunosorbent assay at baseline. RESULTS: During the 24-month follow-up period, 28.1% (n = 81) of the patients died. Serum GPC4 significantly predicted all-cause mortality (hazard ratio (HR) per doublingof GPC4 = 3.57 [2.31-5.53]; P < 0.001). Subgroup analysis showed that GPC4 was significantly associated with all-cause mortality in patients with reduced ejection fraction (HR per doubling = 3.25 [1.75-6.04]; P < 0.001) as well as in those with preserved ejection fraction (HR per doubling = 3.07 [1.22-7.70]; P = 0.017). The association between serum GPC4 and all-cause mortality remained significant in multivariable Cox regression analysis correcting for traditional risk factors (P = 0.035). Results from C-statistics indicated an additional prognostic value of GPC4 relative to NT-proBNP for the prediction of two-year all-cause mortality (P = 0.030). CONCLUSION: Circulating GPC4 independently predicts all-cause mortality in patients with heart failure.

Age and professional experience as determinants of the utilization of psychoneuroimmunological research in clinical practice: An exploratory study.

The immune system is affected by psychosocial stimuli and plays a major role in the development of various diseases. Psychoneuroimmunology (PNI)-based interventions may positively influence the disease course; however, the impact of PNI research findings on clinical practice differs depending on the medical specialties involved. A comprehensive overview of the use of PNI research findings in clinical practice is currently lacking. This exploratory study aimed to provide insight into the dissemination of PNI research findings and their practical applications among clinical practitioners. Data was collected from 50 physicians using an ad hoc online questionnaire. We invited participants to take part in our online survey via an article in the DocCheck Newsletter, a German-language newsletter for physicians. Bivariate nonparametric correlation analysis (Spearman correlation) were used to explore the relationship between independent variables (age, sex, medical specialty, professional experience, and clinical environment) and dependent variables (six questionnaire items concerned with awareness, relevance, and utilization of PNI concepts). While 46% of respondents believed that PNI research findings were relevant to patient treatment, only 22% used PNI-based interventions as part of their therapeutic regimen. Furthermore, 90% of participants could not refer their patients to therapists offering PNI-based interventions. Moderately positive correlations were identified between the increasing age (rs = .48, P < .001) and increasing amount of professional experience (rs = .34, P = .02) of study participants and awareness of the theoretical foundations of PNI research. Although there is some awareness of PNI among medical practitioners, there appears to be a clear barrier inhibiting the implementation of research findings in current treatment practices. Therefore, it is necessary to examine the impact of increasing age and professional experience on the utilization of PNI-based interventions in patient care.

Association between Lipid Levels, Anti-SARS-CoV-2 Spike Antibodies and COVID-19 Mortality: A Prospective Cohort Study.

BACKGROUND: Recent studies suggest that both lipid levels and anti-severe-acute-respiratory-syndrome-coronavirus-2 (SARS-CoV-2) antibody levels are associated with outcome in coronavirus disease 2019 (COVID-19). While both parameters have separately been implicated in the neutralization and clearance of pathogens during severe infections, it is currently unclear whether the interplay of these parameters affects outcome in COVID-19. We therefore aimed to determine whether there was a relationship between lipoproteins, anti-SARS-CoV-2 antibodies, and COVID-19 mortality. METHODS: In this prospective, multicenter cohort study, we recruited 1152 hospitalized patients with COVID-19 from five hospitals. Total cholesterol (TC), LDL-C, HDL-C, triglycerides, and anti-SARS-CoV-2 spike antibodies were measured on hospital admission. The investigated endpoint was in-hospital mortality. RESULTS: LDL-C, HDL-C, and TC were significantly lower in non-survivors than in survivors (mg/dL, 95%CI; 56.1, 50.4-61.8 vs. 72.6, 70.2-75.0, p < 0.001; 34.2, 31.7-36.8 vs. 38.1, 37.2-39.1, p = 0.025; 139.3, 130.9-147.7 vs. 157.4, 54.1-160.6, p = 0.002). Mortality risk increased progressively with lower levels of LDL-C, HDL-C, and TC (aOR 1.73, 1.30-2.31, p < 0.001; 1.44, 1.10-1.88, p = 0.008; 1.49, 1.14-1.94, p < 0.001). Mortality rates varied between 2.1% for high levels of both LDL-C and anti-SARS-CoV-2 antibodies and 16.3% for low levels of LDL-C and anti-SARS-CoV-2 antibodies (aOR 9.14, 95%CI 3.17-26.34, p < 0.001). Accordingly, for total cholesterol and anti-SARS-CoV-2 antibodies, mortality rates varied between 2.1% and 15.0% (aOR 8.01, 95%CI 2.77-23.18, p < 0.001). CONCLUSION: The combination of serum lipid levels and anti-SARS-CoV-2 antibodies is strongly associated with in-hospital mortality of patients with COVID-19. Patients with low levels of LDL-C and total cholesterol combined with low levels of anti-SARS-CoV-2 antibodies exhibited the highest mortality rates.

Triglycerides revisited: is hypertriglyceridaemia a necessary therapeutic target in cardiovascular disease?

Despite the atherosclerotic cardiovascular disease (ASCVD) risk reduction achieved by low-density lipoprotein cholesterol (LDL-C) lowering therapy, residual ASCVD risk still exists. Previous epidemiological studies have suggested high plasma triglyceride (TG) levels as a risk factor or risk marker for ASCVD independent of LDL-C levels. In this review, we highlighted the underlying pathophysiology of hypertriglyceridaemia, the mechanistic action of therapeutic agents, the interpretation of conflicting results on recent clinical trials, and the present options for primary and secondary prevention. The benefits of fibrates-induced reduction in TG and increase in high-density lipoprotein cholesterol might outweigh the disadvantages of increasing LDL-C levels in primary prevention. In secondary CVD prevention, using eicosapentaenoic acid without docosahexaenoic acid, in addition to statins, will be beneficial. This comprehensive review may prove useful for the development of novel approaches that target hypertriglyceridaemia in future.

Impact of ezetimibe on markers of inflammation in patients treated with statins: a systematic review.

Statins are the primary pharmacological intervention to reduce LDL cholesterol; they significantly reduce inflammatory markers. Ezetimibe also reduces LDL cholesterol and reduces cardiovascular events when given on top of statin therapy. Whether ezetimibe, like statins, reduces markers of inflammation is less clear. We, therefore, conducted a systematic literature research addressing the impact of ezetimibe on CRP, TNFα and IL-6 when given on top of statin therapy. Our work indicates that overall ezetimibe reduces inflammation on top of statin treatment. However, available data are limited for CRP and even more so for TNFα and IL-6.

[Antihyperglycemic treatment guidelines for diabetes mellitus type 2 (Update 2023)]. / Antihyperglykämische Therapie bei Diabetes mellitus Typ 2 (Update 2023).

Hyperglycemia significantly contributes to complications in patients with diabetes mellitus. While lifestyle interventions remain cornerstones of disease prevention and treatment, most patients with type 2 diabetes will eventually require pharmacotherapy for glycemic control. The definition of individual targets regarding optimal therapeutic efficacy and safety as well as cardiovascular effects is of great importance. In this guideline we present the most current evidence-based best clinical practice data for healthcare professionals.

[Lipids-Diagnosis and therapy in diabetes mellitus (Update 2023)]. / Lipide: Diagnostik und Therapie bei Diabetes mellitus (Update 2023).

Hyper- and dyslipidemia contribute to cardiovascular morbidity and mortality in diabetic patients. Pharmacological therapy to lower LDL cholesterol has convincingly shown to reduce cardiovascular risk in diabetic patients. The present article represents the recommendations of the Austrian Diabetes Association for the use of lipid-lowering drugs in diabetic patients according to current scientific evidence.

[Inhibition of platelet aggregation (Update 2023)]. / Thrombozytenaggregationshemmer (Update 2023).

Acute thrombotic complications as a key feature of accelerated atherothrombotic disease typically precipitate cardiovascular events and therefore strongly contribute to cardiovascular morbidity and mortality in patients with diabetes. Inhibition of platelet aggregation can reduce the risk for acute atherothrombosis. The present article represents the recommendations of the Austrian Diabetes Association for the use of antiplatelet drugs in patients with diabetes according to current scientific evidence.

[Individualising antihypertensive therapy in patients with diabetes. A guideline by the Austrian Diabetes Association (update 2023)]. / Individualisierung der antihypertensiven Therapie bei Patient:innen mit Diabetes mellitus. Leitlinie der Österreichischen Diabetes Gesellschaft (Update 2023).

Hypertension is one of the most important comorbidities of diabetes, contributing significantly to death and leading to macrovascular and microvascular complications. When assessing the medical priorities for patients with diabetes, treating hypertension should be a primary consideration. In the present review practical approaches to hypertension in diabetes, including individualized targets for preventing specific complications are discussed according to current evidence and guidelines. Blood pressure values of about 130/80 mm Hg are associated with the best outcome; most importantly, at least blood pressure values < 140/90 mm Hg should be achieved in most patients. Angiotensin converting enzyme inhibitors or angiotensin receptor blockers should be preferred in patients with diabetes, especially in those who also have albuminuria or coronary artery disease. Most patients with diabetes require combination therapy to achieve blood pressure goals; agents with proven cardiovascular benefit should be used (including, besides angiotensin converting enzyme inhibitors and alternatively angiotensin receptor blockers, dihydropyridin-calcium antagonists and thiazide diuretics), preferable in single-pill combinations. Once the target is achieved, antihypertensive drugs should be continued. Newer antidiabetic medications such as SGLT-2-inhibitors or GLP1-receptor agonists have also antihypertensive effects.

[Diabetes mellitus, coronary artery disease and heart disease (Update 2023)]. / Diabetes mellitus, koronare Herzkrankheit und Herzinsuffizienz (Update 2023).

Diabetes mellitus, cardiovascular disease and heart failure are interacting dynamically. Patients being diagnosed with cardiovascular disease should be screened for diabetes mellitus. Enhanced cardiovascular risk stratification based on biomarkers, symptoms and classical risk factors should be performed in patients with preexisting diabetes mellitus. In patients with previously diagnosed arterosclerotic cardiovascular disease an agent proven to reduce major adverse cardiovascular events or cardiovascular mortality is recommended.

[Geriatric aspects for the management of diabetes mellitus (Update 2023)]. / Geriatrische Aspekte bei Diabetes mellitus (Update 2023).

There is a high prevalence of diabetes mellitus in the elderly population of industrial countries. The present article provides recommendations for the screening, prevention and treatment of elderly diabetic patients according to current scientific evidence.