Estimating Exposome Score for Schizophrenia Using Predictive Modeling Approach in Two Independent Samples: The Results From the EUGEI Study

Exposures constitute a dense network of the environment: exposome. Here, we argue for embracing the exposome paradigm to investigate the sum of nongenetic "risk" and show how predictive modeling approaches can be used to construct an exposome score (ES; an aggregated score of exposures) for schizophrenia. The training dataset consisted of patients with schizophrenia and controls, whereas the independent validation dataset consisted of patients, their unaffected siblings, and controls. Binary exposures were cannabis use, hearing impairment, winter birth, bullying, and emotional, physical, and sexual abuse along with physical and emotional neglect. We applied logistic regression (LR), Gaussian Naive Bayes (GNB), the least absolute shrinkage and selection operator (LASSO), and Ridge penalized classification models to the training dataset. ESs, the sum of weighted exposures based on coefficients from each model, were calculated in the validation dataset. In addition, we estimated ES based on meta-analyses and a simple sum score of exposures. Accuracy, sensitivity, specificity, area under the receiver operating characteristic, and Nagelkerke's R2 were compared. The ESMeta-analyses performed the worst, whereas the sum score and the ESGNB were worse than the ESLR that performed similar to the ESLASSO and ESRIDGE. The ESLR distinguished patients from controls (odds ratio [OR] = 1.94, P < .001), patients from siblings (OR = 1.58, P < .001), and siblings from controls (OR = 1.21, P = .001). An increase in ESLR was associated with a gradient increase of schizophrenia risk. In reference to the remaining fractions, the ESLR at top 30%, 20%, and 10% of the control distribution yielded ORs of 3.72, 3.74, and 4.77, respectively. Our findings demonstrate that predictive modeling approaches can be harnessed to evaluate the exposome

White Noise Speech Illusions: A Trait-Dependent Risk Marker for Psychotic Disorder?

Introduction: White noise speech illusions index liability for psychotic disorder in case-control comparisons. In the current study, we examined i) the rate of white noise speech illusions in siblings of patients with psychotic disorder and ii) to what degree this rate would be contingent on exposure to known environmental risk factors (childhood adversity and recent life events) and level of known endophenotypic dimensions of psychotic disorder [psychotic experiences assessed with the Community Assessment of Psychic Experiences (CAPE) scale and cognitive ability]. Methods: The white noise task was used as an experimental paradigm to elicit and measure speech illusions in 1,014 patients with psychotic disorders, 1,157 siblings, and 1,507 healthy participants. We examined associations between speech illusions and increasing familial risk (control -> sibling -> patient), modeled as both a linear and a categorical effect, and associations between speech illusions and level of childhood adversities and life events as well as with CAPE scores and cognitive ability scores. Results: While a positive association was found between white noise speech illusions across hypothesized increasing levels of familial risk (controls -> siblings -> patients) [odds ratio (OR) linear 1.11, 95% confidence interval (CI) 1.02-1.21, p = 0.019], there was no evidence for a categorical association with sibling status (OR 0.93, 95% CI 0.79-1.09, p = 0.360). The association between speech illusions and linear familial risk was greater if scores on the CAPE positive scale were higher (p interaction = 0.003; ORlow CAPE positive scale 0.96, 95% CI 0.85-1.07; ORhigh CAPE positive scale 1.26, 95% CI 1.09-1.46); cognitive ability was lower (p interaction < 0.001; ORhigh cognitive ability 0.94, 95% CI 0.84-1.05; ORlow cognitive ability 1.43, 95% CI 1.23-1.68); and exposure to childhood adversity was higher (p interaction < 0.001; ORlow adversity 0.92, 95% CI 0.82-1.04; ORhigh adversity 1.31, 95% CI 1.13-1.52). A similar, although less marked, pattern was seen for categorical patient-control and sibling-control comparisons. Exposure to recent life events did not modify the association between white noise and familial risk (p interaction = 0.232). Conclusion: The association between white noise speech illusions and familial risk is contingent on additional evidence of endophenotypic expression and of exposure to childhood adversity. Therefore, speech illusions may represent a trait-dependent risk marker

Comparison of long‐term clinical outcomes in multivessel coronary artery disease patients treated either with bioresoarbable polymer sirolimus‐eluting stent or permanent polymer everolimus‐eluting stent: 5‐year results of the CENTURY II randomized clinical trial

OBJECTIVES: To assess the long-term safety and efficacy of a sirolimus-eluting stent with bioresorbable polymer (BP-SES; Ultimaster), in comparison to a benchmark everolimus-eluting, permanent polymer stent (PP-EES; Xience), in a prespecified subgroup of patients with multivessel coronary artery disease (MVD) enrolled in the CENTURY II trial. BACKGROUND: The use of coronary stenting in high-risk subgroups, like MVD patients, is rising. The clinical evidence, including long-term comparative analysis of the efficacy and safety benefits of different new-generation drug eluting stents, however, remains insufficient. METHODS: Among 1,119 patients (intention-to-treat) enrolled in the CENTURY II prospective, randomized, single-blind, multicenter trial, a prespecified subgroup of 456 MVD patients were allocated by stratified randomization to treatment with BP-SES (n = 225) or PP-EES (n = 231). The previously reported primary endpoint of this study was freedom from target lesion failure (TLF: a composite of cardiac death, target vessel-related myocardial infarction [MI] and clinically-indicated target lesion revascularization) at 9 months. RESULTS: In this MVD substudy, baseline patient, lesion and procedure characteristics were similar between the treatment arms. At 1 and 5 years, both BP-SES and PP-EES displayed low and comparable rates of TLF (5.3 vs. 7.8%; p = .29 and 10.2 vs. 13.4%; p = .29), and definite or probable stent thrombosis (0.4 vs. 1.3%; p = .33 and 0.9 vs. 1.7%; p = .43), respectively. Composite endpoint of cardiac death and MI, and patient-oriented composite endpoint of any death, MI, and coronary revascularizations were also similar. CONCLUSIONS: These results confirm good long-term safety and efficacy of the studied bioresorbable polymer stent in this high-risk patient population