Citations

Background— Right ventricular (RV) dysfunction (RVD) is a poor prognostic factor in heart failure with preserved ejection fraction (HFpEF). The physiological perturbations associated with RVD or RV function indexed to load (RV–pulmonary arterial [PA] coupling) in HFpEF have not been defined. HFpEF patients with marked impairment in RV–PA coupling may be uniquely sensitive to sildenafil. Methods and Results— In a subset of HFpEF patients enrolled in the Phosphodiesteas-5 Inhibition to Improve Clinical Status And Exercise Capacity in Diastolic Heart Failure (RELAX) trial, physiological variables and therapeutic effect of sildenafil were examined relative to the severity of RVD (tricuspid annular plane systolic excursion [TAPSE]) and according to impairment in RV–PA coupling (TAPSE/pulmonary artery systolic pressure) ratio. The prevalence of atrial fibrillation and diuretic use, n-terminal probrain natriuretic peptide levels, renal dysfunction, neurohumoral activation, myocardial necrosis and fibrosis biomarkers, and the severity of diastolic dysfunction all increased with severity of RVD. Peak oxygen consumption decreased and ventilatory inefficiency (VE/VCO 2 slope) increased with increasing severity of RVD. Many but not all physiological derangements were more closely associated with the TAPSE/pulmonary artery systolic pressure ratio. Compared with placebo, at 24 weeks, TAPSE decreased, and peak oxygen consumption and VE/CO 2 slope were unchanged with sildenafil. There was no interaction between RV–PA coupling and treatment effect, and sildenafil did not improve TAPSE, peak oxygen consumption, or VE/VCO 2 in patients with pulmonary hypertension and RVD. Conclusions— HFpEF patients with RVD and impaired RV–PA coupling have more advanced heart failure. In RELAX patients with RVD and impaired RV–PA coupling, sildenafil did not improve RV function, exercise capacity, or ventilatory efficiency. Clinical Trial Registration— URL: http://www.clinicaltrials.gov . Unique identifier: NCT00763867.

Purpose The inclusion of metformin in the treatment arms of cancer clinical trials is based on improved survival that has been demonstrated in retrospective epidemiologic studies; however, unintended biases may exist when analysis is performed by using a conventional Cox proportional hazards regression model with dichotomous ever/never categorization. We examined the impact of metformin exposure definitions, analytical methods, and patient selection on the estimated effect size of metformin exposure on survival in a large cohort of patients with pancreatic ductal adenocarcinoma (PDAC). Patients and Methods Of newly diagnosed patients with PDAC with diabetes, 980 were retrospectively included, and exposure to metformin documented. Median survival was assessed by using Kaplan-Meier and log-rank methods. Hazard ratios (HR) and 95% CIs were computed to compare time-varying covariate analysis with conventional Cox proportional hazards regression analysis. Results Median survival of metformin users versus nonusers was 9.9 versus 8.9 months, respectively. By the time-varying covariate analysis, metformin use was not statistically significantly associated with improved survival (HR, 0.93; 95% CI, 0.81 to1.07; P = .28). There was no evidence of benefit in the subset of patients who were naïve to metformin at the time of PDAC diagnosis (most representative of patients enrolled in clinical trials; HR, 1.01; 95% CI, 0.80 to 1.30; P = .89); however, when the analysis was performed by using the conventional Cox model, an artificial survival benefit of metformin was detected (HR, 0.88; 95% CI, 0.77 to 1.01; P = .08), which suggested biased results from the conventional Cox analysis. Conclusion Our findings did not suggest the benefit of metformin use after patients are diagnosed with PDAC. We highlight the importance of patient selection and appropriate statistical analytical methods when studying medication exposure and cancer survival.

Abstract Background and Aims Depression and anxiety are often comorbid with alcoholism and contribute to craving and relapse. We aimed to estimate the prevalence of life‐time diagnoses of major depressive disorder (MDD), substance‐induced depression (SID), anxiety disorder (AnxD) and substance‐induced anxiety (SIA), the effects of these comorbidities on the propensity to drink in negative emotional states (negative craving), and test whether these effects differ by sex. Design Secondary analyses of baseline data collected in a single‐arm study of pharmacogenetic predictors of acamprosate response. Setting Academic medical center and affiliated community‐based treatment programs in the American upper mid‐west. Participants A total of 287 males and 156 females aged 18–80 years, meeting DSM‐IV criteria for alcohol dependence. Measurements The primary outcome measure was ‘propensity to drink in negative emotional situations’ (determined by the Inventory of Drug Taking Situations) and the key predictors/covariates were sex and psychiatric comorbidities, including MDD, SID, AnxD and SIA (determined by Psychiatric Research Interview of Substance and Mood Disorders). Findings The prevalence of the MDD, SID and AnxD was higher in females compared with males (33.1 versus 18.4%, 44.8 versus 26.4% and 42.2 versus 27.4%, respectively; P < 0.01, each), while SIA was rare (3.3%) and did not differ by sex. Increased propensity to drink in negative emotional situations was associated with comorbid MDD (β = 6.6, P = 0.013) and AnxD (β = 4.8, P = 0.042) as well as a SID × sex interaction effect ( P = 0.003), indicating that the association of SID with propensity to drink in negative emotional situations differs by sex and is stronger in males (β = 7.9, P = 0.009) compared with females (β = −6.6, P = 0.091). Conclusions There appears to be a higher prevalence of comorbid depression and anxiety disorders as well as propensity to drink in negative emotional situations in female compared with male alcoholics. Substance‐induced depression appears to have a sex‐specific effect on the increased risk for drinking in negative emotional situations in males.

AbstractGenetic risk scores were used as unconfounded instruments for specific lipid traits (Mendelian randomization) to assess whether circulating lipids causally influence prostate cancer risk. Data from 22,249 prostate cancer cases and 22,133 controls from 22 studies within the international PRACTICAL consortium were analyzed. Allele scores based on single nucleotide polymorphisms (SNPs) previously reported to be uniquely associated with each of low‐density lipoprotein (LDL), high‐density lipoprotein (HDL), and triglyceride (TG) levels, were first validated in an independent dataset, and then entered into logistic regression models to estimate the presence (and direction) of any causal effect of each lipid trait on prostate cancer risk. There was weak evidence for an association between the LDL genetic score and cancer grade: the odds ratio (OR) per genetically instrumented standard deviation (SD) in LDL, comparing high‐ (≥7 Gleason score) versus low‐grade (<7 Gleason score) cancers was 1.50 (95% CI: 0.92, 2.46; P = 0.11). A genetically instrumented SD increase in TGs was weakly associated with stage: the OR for advanced versus localized cancer per unit increase in genetic risk score was 1.68 (95% CI: 0.95, 3.00; P = 0.08). The rs12916‐T variant in 3‐hydroxy‐3‐methylglutaryl‐CoA reductase (HMGCR) was inversely associated with prostate cancer (OR: 0.97; 95% CI: 0.94, 1.00; P = 0.03). In conclusion, circulating lipids, instrumented by our genetic risk scores, did not appear to alter prostate cancer risk. We found weak evidence that higher LDL and TG levels increase aggressive prostate cancer risk, and that a variant in HMGCR (that mimics the LDL lowering effect of statin drugs) reduces risk. However, inferences are limited by sample size and evidence of pleiotropy.