Adjunct Aripiprazole Reduces Prolactin and Prolactin-Related Adverse Effects in Premenopausal Women With Psychosis: Results From the DAAMSEL Clinical Trial.

PURPOSE/BACKGROUND: Prolactin-related adverse effects contribute to nonadherence and adverse health consequences, particularly in women with severe mental illness. Treating these adverse effects may improve treatment acceptability, adherence, and long-term outcomes. METHODS/PROCEDURES: Premenopausal women with a Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition, Text Revision diagnosis of schizophrenia, schizoaffective disorder, or bipolar disorder were recruited for a randomized, double-blind, placebo-controlled 16-week trial of adjunct aripiprazole (5-15 mg/d). Participants had elevated prolactin (>24 ng/mL) and were experiencing galactorrhea, amenorrhea, oligomenorrhea, or sexual dysfunction on a prolactin-elevating antipsychotic. Participants were evaluated biweekly for prolactin elevation and galactorrhea and completed a menstrual diary review. Psychiatric symptoms and adverse effects were closely monitored. FINDINGS/RESULTS: Forty-six women were randomized (n = 25 aripiprazole, n = 21 placebo). Thirty-seven completed at least 8 weeks of the study (n = 20 [80%] aripiprazole and n = 17 [81%] placebo). Aripiprazole (mean dose, 11.7 ± 2.4 mg/d) was effective for lowering prolactin relative to placebo (P = 0.04). In addition, 45% (9/20) of the aripiprazole group had a normalized prolactin (<24 mg/mL) compared with 12% (2/17) of the placebo group (P = 0.028). Galactorrhea resolved in 77% (10/13) of the aripiprazole-treated participants compared with 33% (4/12) in the placebo group (P = 0.028). Normalization of sexual function (<16 on the Arizona Sexual Experience Scale) occurred in 50% on aripiprazole (7/14) versus 9% (1/11) on placebo (P = 0.030). No differences between groups in symptoms or adverse effects were noted. Overall, women rated a mean score of 4.6 ± 0.6 on a 5-point Likert scale for sexual function improvement, suggesting their particular satisfaction with improvement in this domain. IMPLICATIONS/CONCLUSIONS: Building upon prior studies, this rigorous evaluation confirms the utility of adjunctive aripiprazole as a strategy for improving prolactin and managing prolactin-related adverse effects in premenopausal women with psychosis.

Toxoplasma gondii IgG Serointensity Is Positively Associated With Frailty.

BACKGROUND: Persistent inflammation related to aging ("inflammaging") is exacerbated by chronic infections and contributes to frailty in older adults. We hypothesized associations between Toxoplasma gondii (T. gondii), a common parasite causing an oligosymptomatic unremitting infection, and frailty, and secondarily between T. gondii and previously reported markers of immune activation in frailty. METHODS: We analyzed available demographic, social, and clinical data in Spanish and Portuguese older adults [N = 601; age: mean (SD) 77.3 (8.0); 61% women]. Plasma T. gondii immunoglobulin G (IgG) serointensity was measured with an enzyme-linked immunosorbent assay. The Fried criteria were used to define frailty status. Validated translations of Mini-Mental State Examination, Geriatric Depression Scale, and the Charlson Comorbidity Index were used to evaluate confounders. Previously analyzed biomarkers that were significantly associated with frailty in both prior reports and the current study, and also related to T. gondii serointensity, were further accounted for in multivariable logistic models with frailty as outcome. RESULTS: In T. gondii-seropositives, there was a significant positive association between T. gondii IgG serointensity and frailty, accounting for age (p = .0002), and resisting adjustment for multiple successive confounders. Among biomarkers linked with frailty, kynurenine/tryptophan and soluble tumor necrosis factor receptor II were positively associated with T. gondii serointensity in seropositives (p < .05). Associations with other biomarkers were not significant. CONCLUSIONS: This first reported association between T. gondii and frailty is limited by a cross-sectional design and warrants replication. While certain biomarkers of inflammaging were associated with both T. gondii IgG serointensity and frailty, they did not fully mediate the T. gondii-frailty association.

Longitude-based time zone partitions and rates of suicide.

BACKGROUND: Increasing evidence suggests that conditions with decreased morning and increased evening light exposure, including shift work, daylight-saving time, and eveningness, are associated with elevated mortality and suicide risk. Given that the alignment between the astronomical, biological, and social time varies across a time zone, with later-shifted daylight exposure in the western partition, we hypothesized that western time zone partitions would have higher suicide rates than eastern partitions. METHODS: United States (U.S.) county-level suicide and demographic data, from 2010 to 2018, were obtained from a Centers for Disease Control database. Using longitude and latitude, counties were sorted into the western, middle, or eastern partition of their respective time zones, as well as the northern and southern halves of the U.S. Linear regressions were used to estimate the associations between suicide rates and time zone partitions, adjusting for gender, race, ethnicity, age group, and unemployment rates. RESULTS: Data were available for 2872 counties. Across the U.S., western partitions had statistically significantly higher rates of suicide compared to eastern partitions and averaged up to two additional yearly deaths per 100,000 people (p < .001). LIMITATIONS: Ecological design and limited adjustment for socioeconomic factors. CONCLUSIONS: To our knowledge, this is the first study of the relationship between longitude-based time zone partitions and suicide. The results were consistent with the hypothesized elevated suicide rates in the western partitions, and concordant with previous reports on cancer mortality and transportation fatalities. The next step is to retest the hypothesis with individual-level data, accounting for latitude, photoperiodic changes, daylight-saving time, geoclimatic variables, physical and mental health indicators, as well as socioeconomic adversity and protection.

Evaluating the heterogeneous effect of a modifiable risk factor on suicide: The case of vitamin D deficiency.

OBJECTIVES: To illustrate the use of machine learning methods to search for heterogeneous effects of a target modifiable risk factor on suicide in observational studies. The illustration focuses on secondary analysis of a matched case-control study of vitamin D deficiency predicting subsequent suicide. METHODS: We describe a variety of machine learning methods to search for prescriptive predictors; that is, predictors of significant variation in the association between a target risk factor and subsequent suicide. In each case, the purpose is to evaluate the potential value of selective intervention on the target risk factor to prevent the outcome based on the provisional assumption that the target risk factor is causal. The approaches illustrated include risk modeling based on the super learner ensemble machine learning method, Least Absolute Shrinkage and Selection Operator (Lasso) penalized regression, and the causal forest algorithm. RESULTS: The logic of estimating heterogeneous intervention effects is exposited along with the illustration of some widely used methods for implementing this logic. CONCLUSIONS: In addition to describing best practices in using the machine learning methods considered here, we close with a discussion of broader design and analysis issues in planning an observational study to investigate heterogeneous effects of a modifiable risk factor.