Coronary artery tortuosity and mid-term all-cause mortality of patients with ischemia and non-obstructive coronary arteries.

Background: Coronary artery tortuosity (CAT) is a frequently encountered angiographic feature of patients with ischemia and non-obstructive coronary arteries (INOCA). However, there is limited data regarding the possible correlation between CAT and all-cause mortality in these patients. Aim: To assess the survival prognostic implications of CAT in INOCA patients and the predictors of all-cause mid-term mortality of these patients. Methods: All consecutive INOCA patients, with preserved ejection fraction evaluated for clinical ischemia by coronary angiography in our department between January 2014 and December 2020 were considered for inclusion. Patients with epicardial coronary artery stenosis ≥ 50%, severe pulmonary hypertension, or decompensated extra cardiac disease were excluded. Eleid classification was used for CAT severity characterization. We assessed all-cause mortality in January 2023. Results: Our sample included 328 INOCA patients. 15.54% died during the mean follow-up of 3.75 ± 1.32 years. 79.88% had CAT. CAT patients were older (65.10±9.09 versus 61.24±10.02 years, p=0.002), and more often female (67.18% versus 31.82%, p<0.001). CAT was inversely correlated with all-cause mid-term mortality (OR 0.35, 95%CI 0.16 - 0.77, p=0.01). CAT severity had no impact on survival. In CAT patients the initial multivariable analysis identified NT-proBNP levels (HR 3.96, p=0.01), diabetes mellitus (DM) (HR 4.76, p=0.003), and atrial fibrillation (HR 2.68, p=0.06) as independent predictors of all-cause mortality. In the final analysis, NT-proBNP and DM were the main independent predictors of survival. Conclusions : In our INOCA cohort, CAT patients were older and more likely female. CAT was inversely correlated with mid-term all-cause mortality. NT-proBNP and DM were the main independent predictors of mortality of CAT patients.

Sarcopenia assessed by total psoas index - is it correlated with post-operative complications in all digestive cancers?

Background and aims: In cancer patients sarcopenia may be a predictor for postoperative complications of curative or palliative surgery. Several indices including the total psoas area index (TPAI) are proposed for the diagnosis of this condition, but there is no validated cut-off point.Our study aimed to assess the role of TPAI as a marker for sarcopenia and to compare the utility of previously proposed cut-off values for predicting post-operative complications in patients with digestive cancers undergoing surgery. Methods: We retrospectively included all adult patients with digestive cancers admitted to a tertiary center for elective surgery between January and December 2019. Sarcopenia was considered based on TPAI evaluated on abdominal computed tomography (CT) and for analysis we used different cut-off points published by various authors. The primary endpoint was the occurrence of any complications as defined by the Clavien-Dindo classification. The secondary endpoints were fistula development, low- versus high-grade Clavien-Dindo post-operative complications, moderate or severe anemia at discharge, major bleeding, hypoalbuminemia at discharge, and decrease in albumin levels by at least 1g/dL. Results: We included 155 patients with a mean age of 64.78 ± 11.40 years, of which 59.35% were males; 58.06% developed postoperative complications. TPAI evaluated as a continuous variable was not a predictor for the development of post-operative complications neither in the general study sample, nor in the gender subgroups of patients. Sarcopenia defined by previously proposed cut-off values was not a predictor of the secondary end-points either. Conclusion: TPAI as a sole parameter for defining sarcopenia was not a predictor for postoperative complications in patients undergoing surgery for digestive neoplasia.

The platelet to lymphocyte ratio in heart failure: a comprehensive review.

Introduction: At the crossroads of heart failure (HF) and systemic inflammation, platelets and lymphocytes are both influenced as well as actively participating in the bidirectional relationship. The platelet to lymphocyte ratio (PLR) could therefore be a marker of severity. This review aimed to assess the role of PLR in HF. Methods: We searched the PubMed (MEDLINE) database using the keywords "platelet", "thrombocyte", "lymphocyte", "heart failure", "cardiomyopathy", "implantable cardioverter defibrillator", "cardiac resynchronization therapy" and "heart transplant". Results: We identified 320 records. 21 studies were included in this review, with a total of 17,060 patients. PLR was associated with age, HF severity, and comorbidity burden. Most studies reported the predictive power for all-cause mortality. Higher PLR was associated with in-hospital and short-term mortality in univariable analysis, however, it was not consistently an independent predictor for this outcome. PLR > 272.9 associated an adjusted HR of 3.22 (95%CI 1.56 - 5.68, p<0.001) for 30-day fatality. During long-term follow-up from 6 months to 5 years, PLR was an independent predictor of mortality in most studies, with cut-off values ranging from > 150 to > 194.97 and adjusted HR from 1.47 (95%CI 1.06 - 2.03, p=0.019) to 5.65 (95%CI 2.47-12.96, p<0.001). PLR > 173.09 had an adjusted OR 2.89 (95%CI 1.17-7.09, p=0.021) for predicting response to cardiac resynchronization therapy. PLR was not associated with outcomes after cardiac transplant or implantable cardioverter-defibrillator. Conclusion: Increased PLR could be an auxiliary biomarker of severity and survival prognosis in HF patients.

Drug-drug interactions involving combinations of antipsychotic agents with antidiabetic, lipid-lowering, and weight loss drugs.

INTRODUCTION: Patients with severe mental illness (SMI) have a high risk for diabetes, dyslipidemia, and other components of metabolic syndrome. Patients with these metabolic comorbidities and cardiac risk factors should receive not only antipsychotics but also medications aiming to reduce cardiovascular risk. Therefore, many patients may be exposed to clinically relevant drug-drug interactions. AREAS COVERED: This narrative review summarizes data regarding the known or potential drug-drug interactions between antipsychotics and medications treating metabolic syndrome components, except for hypertension, which has been summarized elsewhere. A literature search in PubMed and Scopus up to 7/31/2021 was performed regarding interactions between antipsychotics and drugs used to treat metabolic syndrome components, aiming to inform clinicians' choice of medication for patients with SMI and cardiometabolic risk factors in need of pharmacologic interventions. EXPERT OPINION: The cytochrome P450 system and, to a lesser extent, the P-glycoprotein transporter is involved in the pharmacokinetic interactions between antipsychotics and some statins or saxagliptin. Regarding pharmacodynamic interactions, the available information is based mostly on small studies, and for newer classes, like PCSK9 inhibitors or SGLT2 inhibitors, data are still lacking. However, there is sufficient information to guide clinicians in the process of selecting safer antipsychotic-cardiometabolic risk reduction drug combinations.

Drug-drug interactions involving antipsychotics and antihypertensives.

INTRODUCTION: Antipsychotics represent the mainstay in the treatment of patients diagnosed with major psychiatric disorders. Hypertension, among other components of metabolic syndrome, is a common finding in these patients. For their psychiatric and physical morbidity, many patients receive polypharmacy, exposing them to the risk of clinically relevant drug-drug interactions. AREAS COVERED: This review summarizes the knowledge regarding the known or potential drug-drug interactions between antipsychotics and the main drug classes used in the treatment of hypertension. We aimed to provide the clinician an insight into the pharmacokinetic and pharmacodynamic interactions between these drugs for a better choice of combinations of drugs to treat both the mental illness and cardiovascular risk factors. For this, we performed a literature search in PubMed and Scopus databases, up to 31 July 2021. EXPERT OPINION: The main pharmacokinetic interactions between antipsychotics and antihypertensive drugs involve mainly the cytochrome P450 system. The pharmacodynamic interactions are produced by multiple mechanisms, leading to concurrent binding to the same receptors. The data available regarding drug-drug interactions is mostly based on case reports and small studies and therefore should be interpreted with caution. The current knowledge is sufficiently strong to guide clinicians in selecting safer drug combinations as summarized here.

Stroke Risk Scores as Predictors of Severe Outcomes in Atrial Fibrillation: A Comprehensive Review.

BACKGROUND: Atrial fibrillation (AF) is the most frequent sustained arrhythmia. It increases the risk of stroke, heart failure, death, hospitalizations, and costs. AREA OF UNCERTAINTY: Several scores were introduced to stratify the stroke risk and need for anticoagulation in patients (pts) with AF . CHA2DS2-VASc, the most frequently used score, as well as other stroke risk scores have been additionally applied to estimate outcomes for different other conditions, with inhomogeneous results. To date, there has been no consensus regarding the usefulness of these scores to estimate outcomes outside of thromboembolic risk assessment, and their value in estimating different end-point outcomes is still a subject of debate. We conducted this review to investigate whether the stroke risk scores' utility can be extended for the prediction of other severe outcomes in pts with AF. DATA SOURCES: We searched PubMed database and included studies that stratified the outcome of pts with AF by different stroke risk scores. We also included studies with a separate analysis of the pts with AF subpopulation. RESULTS: Mortality rates increased with higher CHADS2 [from 2.28% (2.00%-2.58%) to 13.2% (8.24%-20.8%) per year] and CHA2DS2-VASc scores [risk ratio 1.26 (1.21-1.32), P < 0.0001 for score ≥3]. CHADS2 and CHA2DS2-VASc predicted poor outcome in stroke [odds ratio (OR) ranging 1.42-6 for CHADS2 and 1.3-7.3 for CHA2DS2-VASc]. Acute myocardial infarction rates increased with higher CHADS2 [OR 2.120 (1.942-2.315) P < 0.001] and CHA2DS2-VASc [OR 1.63 (1.53-1.75), P < 0.001]. Limited data were reported for ABC( Age, Biomarkers, Clinical histoty) and R2CHADS2. No statistically significant correlation was found for major bleeding. CONCLUSIONS: CHADS2 and CHA2DS2-VASc are useful tools in identifying pts with AF at higher risk for all-cause death, regardless of other pathologies. Both scores correlated with the development of acute myocardial infarction, cardiovascular hospitalization, outcome in stroke, major adverse cardiovascular events, and major adverse cardiovascular and cerebral events, but not with serious bleeding.

Comparative role of hematological indices for the assessment of in-hospital outcome of heart failure patients.

Background. The mutual relation between heart failure (HF) and inflammation is reflected in blood cell homeostasis. Neutrophil-lymphocyte ratio (NLR), monocyte-lymphocyte ratio (MLR) and platelet-lymphocyte ratio (PLR) were linked to HF severity and prognosis. Aims. Our objective was to compare the three ratios for predicting in-hospital outcome of HF patients, in order to establish which is best suited for clinical practice. Methods. Consecutive HF patients admitted to a Cardiology Department from a tertiary hospital were retrospectively evaluated for inclusion. Readmissions and pathologies modifying the hematological indices were excluded. Extended length of hospital stay (LOS) was considered over 7 d. In-hospital all-cause mortality was evaluated. Results: The hematological indices in heart failure (HI-HF) cohort included 1299 patients with a mean age of 72.35 ± 10.45 years, 51.96% women. 2.85% died during hospitalization. 22.17% had extended LOS. In Cox regression for in-hospital mortality alongside parameters from the OPTIMIZE-HF proposed model, all three ratios were independent predictors of mortality. In Cox regression including NT-proBNP, dyspnea at rest, chronic obstructive pulmonary disease (COPD), age and systolic blood pressure, only MLR was an independent predictor of in-hospital mortality (HR 1.68, 95% CI 1.22 - 2.32, p = .002). In multivariable logistic regression, all three ratios independently predicted extended LOS. MLR > 0.48 associated the highest probability (OR 1.76, 95% CI 1.25 - 2.46, p = .001). Conclusions. Hematological indices could be cost-effective and easily available auxiliary biomarkers for in-hospital prognosis of HF patients. We propose MLR > 0.48 as the strongest predictor of in-hospital mortality and prolonged hospitalization.

The neutrophil to lymphocyte ratio in heart failure: a comprehensive review.

INTRODUCTION: Heart failure (HF) and systemic inflammation are interdependent processes that continuously potentiate each other. Distinct pathophysiological pathways are activated, resulting in increased neutrophil count and reduced lymphocyte numbers, making the neutrophil to lymphocyte ratio (NLR) a potential indirect marker of severity. We conducted this comprehensive review to characterize the role of NLR in HF. METHODS: We searched the PubMed (MEDLINE) database using the key words "neutrophil", "lymphocyte", "heart failure", "cardiomyopathy", "implantable cardioverter defibrillator", "cardiac resynchronization therapy" and "heart transplant". RESULTS: We identified 241 publications. 31 were selected for this review, including 12,107 patients. NLR was correlated to HF severity expressed by clinical, biological, and imaging parameters, as well as to short and long-term prognosis. Most studies reported its survival predictive value. Elevated NLR (>2.1-7.6) was an independent predictor of in-hospital mortality [adjusted HR 1.13 (95% CI 1.01-1.27) - 2.8 (95% CI 1.43-5.53)] as well as long-term all-cause mortality [adjusted HR 1.43 (95% CI 1.1-1.85) - 2.403 (95% CI 1.076-5.704)]. Higher NLR levels also predicted poor functional capacity [NLR > 2.26/2.74, HR 3.93 (95% CI 1.02-15.12) / 3.085 (95% CI 1.52-6.26)], hospital readmissions [NLR > 2.9/7.6, HR 1.46 (95% CI 1.10-1.93) / 3.46 (95% CI 2.11-5.68)] cardiac resynchronization therapy efficacy [NLR > 3.45/unit increase, HR 12.22 (95% CI 2.16-69.05) / 1.51 (95% CI 1.01-2.24)] and appropriate implantable cardioverter defibrillator shocks (NLR > 2.93), as well as mortality after left ventricular assist device implantation [NLR > 4.4 / quartiles, HR 1.67 (95% CI 1.03-2.70) / 1.22 (95% CI 1.01-1.47)] or heart transplant (NLR > 2.41, HR 3.403 (95% CI 1.04-11.14)]. CONCLUSION: Increased NLR in HF patients can be a valuable auxiliary biomarker of severity, and most of all, of poor prognosis.