Sex differences in text-mined possible adverse drug events associated with drugs for psychosis

Drug-associated hyperprolactinemia: A comprehensive disproportionality analysis based on the FAERS database

Hyperprolactinemia (HPRL) is a clinically significant adverse event that requires careful monitoring. This study aims to identify the medications associated with HPRL using data from the FDA Adverse Event Reporting System (FAERS) between 2004Q1 and 2024Q1. Disproportionality analysis was performed to identify potential drug signals. Sensitivity analysis was conducted to assess the stability and strength of HPRL signals associated with these medications, as well as to examine signal differences by age and gender through stratification. Time-to-onset (TTO) analysis was performed to investigate the factors affecting the onset of HPRL. Disproportionality analyses identified 39 drugs related to HPRL across six main anatomical systems, with the majority (N = 29) affecting the nervous system. Notably, most of these medications belong to psychotropic categories, including atypical antipsychotics (AAPs, N = 13), typical antipsychotics (TAPs, N = 5) and selective serotonin reuptake inhibitors (SSRIs, N = 5). Sensitivity analysis indicated that most signals remained robust, with risperidone exhibiting the strongest signal for HPRL, followed by amisulpride, paliperidone, fluphenazine, and thioridazine. Stratified analysis showed that females had stronger signals for HPRL. Compared to individuals aged 18-44, those aged ≥45 exhibited weaker signals, while the signals in minors varied by drug. TTO analysis revealed that AAP-related HPRL manifested earlier in females, with earlier onset observed in minors using AAPs or SSRIs. In conclusion, we identified and ranked drugs associated with HPRL, primarily psychotropic medications, and observed variations in signal strength and onset time across gender and age. These findings emphasize the importance of individualized HPRL screening based on specific medications, gender, and age.

Adverse event signal mining and severe adverse event influencing factor analysis of Lumateperone based on FAERS database

Background

Lumateperone has been approved by the Food and Drug Administration (FDA) for the treatment of schizophrenia in adults since 2019, however, there is still a lack of data report on adverse reactions in real-world settings. Conducting data mining on adverse events (AEs) associated with Lumateperone and investigating the risk factors for serious AEs can provide valuable insights for its clinical practice.

Methods

AE reports in the FDA Adverse Event Reporting System (FAERS) from 2019 Q4 (FDA approval of Lumateperone) to 2024 Q1 were collected and analyzed. Disproportionality in Lumateperone-associated AEs was evaluated using the following parameters: Reporting Odds Ratio (ROR), Proportional Reporting Ratio (PRR), Bayesian Confidence Propagation Neural Network (BCPNN), and Multi-item Gamma Poisson Shrinker (MGPS). Univariate and multivariate logistic regression analyses were conducted to identify the risk factors for Lumateperone-induced severe AEs.

Results

A total of 2,644 reports defined Lumateperone as the primary suspected drug was collected, including 739 reports classified as severe AEs and 1905 reports as non-severe AEs. The analysis revealed that 130 preferred terms (PTs) with significant disproportionality were based on the four algorithms, 67 (51.53%) of which were not included in the product labeling, affecting 6 systems and organs. In addition, dizziness (81 cases) was the most reported Lumateperone-associated severe AEs, and tardive dyskinesia showed the strongest signal (ROR = 186.24). Logistic regression analysis indicated that gender, bipolar II disorder, and concomitant drug use are independent risk factors for Lumateperone-associated severe AEs. Specifically, female patients had a 1.811-fold increased risk compared with male patients (OR = 1.811 [1.302, 2.519], p = 0.000), while patients with bipolar II disorder had a 1.695-fold increased risk compared with patients diagnosed with bipolar disorder (OR = 1.695 [1.320, 2.178], p = 0.000). Conversely, concomitant use of CYP3A4 inhibitors or drugs metabolized by CYP3A4 was associated with a decreased risk of severe AEs (OR = 0.524 [0.434, 0.633], P = 0.000).

Conclusion

Collectively, this study provides critical insights into the safety profile of Lumateperone. It highlights the need for cautious use in high-risk populations, such as females and individuals with bipolar II disorder, and emphasizes the importance of monitoring for AEs, including dizziness and tardive dyskinesia. Healthcare also should remain alert to potential AEs not listed in the prescribing information to ensure medical safety.

Identification and comparison of sex-specific serious adverse drug reactions in spontaneous reports and systematically collected reports (ADRED)

AIMS

Adverse drug reactions (ADRs) are known to show sex-specific differences in occurrence and phenotype. The aim of this study was to analyse sex-specific differences in ADR-drug combinations that required hospitalization based on two different datasets.

METHODS

We performed a complementary analysis of (i) spontaneously reported (n = 12 564, female = 51.7%) and (ii) systematically collected ADR reports from a prospective multicentre observational study (ADRED, n = 2355, female = 48.2%) from Germany in the ADR database EudraVigilance (EV). Both datasets were analysed separately concerning the suspected drugs, ADRs and ADR-drug combinations more frequently reported for females or males by calculating reporting odds ratios (ROR) with 95% confidence intervals. ADR-drug combinations more frequently reported for either females or males in EV reports were related to prescription data. Finally, the results from both datasets were discussed with regard to their (dis-)concordance.

RESULTS

In both datasets, some antineoplastic agents and nervous system drugs were found to be reported more often for females than males (RORs ranging from 1.5 [1.1-2.1] for quetiapine in spontaneous reports to 41.3 [13.1-130.0] for trastuzumab in spontaneous reports). ADRs of the respiratory system, and haemorrhages were described predominantly for males in both datasets. In spontaneous reports the ADR-drug combination self-injurious behaviour-quetiapine was more often reported for females without and with consideration of drug prescriptions (ROR: 3.8 [1.3-11.0]). Quetiapine and psychiatric disorders (superordinate level) was exclusively reported for females in ADRED reports.

CONCLUSIONS

Our results can contribute to raise awareness and further knowledge regarding sex-specific ADRs. The findings require further in-depth investigation.

Sex differences in bipolar disorder: The dorsolateral prefrontal cortex as an etiopathogenic region

Bipolar disorder (BD) is worldwide a prevalent mental illness and a leading risk factor for suicide. Over the past three decades, it has been discovered that sex differences exist throughout the entire panorama of BD, but the etiologic regions and mechanisms that generate such differences remain poorly characterized. Available evidence indicates that the dorsolateral prefrontal cortex (DLPFC), a critical region that controls higher-order cognitive processing and mood, exhibits biological disparities between male and female patients with psychiatric disorders, which are highly correlated with the co-occurrence of psychotic symptoms. This review addresses the sex differences in BD concerning epidemiology, cognitive impairments, clinical manifestations, neuroimaging, and laboratory abnormalities. It also provides strong evidence linking DLPFC to the etiopathogenesis of these sex differences. We emphasize the importance of identifying gene signatures using human brain transcriptomics, which can depict sexually different variations, explain sex-biased symptomatic features, and provide novel targets for sex-specific therapeutics.

Natural language processing with machine learning methods to analyze unstructured patient-reported outcomes derived from electronic health records: A systematic review

OBJECTIVE

Natural language processing (NLP) combined with machine learning (ML) techniques are increasingly used to process unstructured/free-text patient-reported outcome (PRO) data available in electronic health records (EHRs). This systematic review summarizes the literature reporting NLP/ML systems/toolkits for analyzing PROs in clinical narratives of EHRs and discusses the future directions for the application of this modality in clinical care.

METHODS

We searched PubMed, Scopus, and Web of Science for studies written in English between 1/1/2000 and 12/31/2020. Seventy-nine studies meeting the eligibility criteria were included. We abstracted and summarized information related to the study purpose, patient population, type/source/amount of unstructured PRO data, linguistic features, and NLP systems/toolkits for processing unstructured PROs in EHRs.

RESULTS

Most of the studies used NLP/ML techniques to extract PROs from clinical narratives (n = 74) and mapped the extracted PROs into specific PRO domains for phenotyping or clustering purposes (n = 26). Some studies used NLP/ML to process PROs for predicting disease progression or onset of adverse events (n = 22) or developing/validating NLP/ML pipelines for analyzing unstructured PROs (n = 19). Studies used different linguistic features, including lexical, syntactic, semantic, and contextual features, to process unstructured PROs. Among the 25 NLP systems/toolkits we identified, 15 used rule-based NLP, 6 used hybrid NLP, and 4 used non-neural ML algorithms embedded in NLP.

CONCLUSIONS

This study supports the potential utility of different NLP/ML techniques in processing unstructured PROs available in EHRs for clinical care. Though using annotation rules for NLP/ML to analyze unstructured PROs is dominant, deploying novel neural ML-based methods is warranted.

Long-term deprescription in chronic pain and opioid use disorder patients: Pharmacogenetic and sex differences

More than half of patients with opioid use disorder for chronic non-cancer pain (CNCP) reduced their dose through a progressive opioid withdrawal supported by a rotation to buprenorphine and/or tramadol. The aim of this research is to analyse the long-term effectiveness of opioid deprescription taking into account the impact of sex and pharmacogenetics on the inter-individual variability. A cross-sectional study was carried out from October 2019 to June 2020 on CNCP patients who had previously undergone an opioid deprescription (n = 119 patients). Demographic, clinical (pain, relief and adverse events) and therapeutic (analgesic use) outcomes were collected. Effectiveness (< 50 mg per day of morphine equivalent daily dose without any aberrant opioid use behaviour) and safety (number of side-effects) were analysed in relation to sex differences and pharmacogenetic markers impact [OPRM1 genotype (rs1799971) and CYP2D6 phenotypes]. Long-term opioid deprescription was achieved in 49 % of the patients with an increase in pain relief and a reduction of adverse events. CYP2D6 poor metabolizers showed the lowest long-term opioid doses. Here, women showed a higher degree of opioid deprescription, but increased use of tramadol and neuromodulators, as well as an increased number of adverse events. Long-term deprescription was successful in half of the cases. Understanding sex and gender interaction plus a genetic impact could help to design more individualized strategies for opioid deprescription.

Sex differences in adverse drug reactions: Are women more impacted?

Pharmacovigilance and pharmacoepidemiology studies regarding the sex difference in adverse drug reactions are numerous, and it is now a challenge to take them into account in order to increase drug safety. Here, we present an overview of this topic through data on epidemiology, mechanisms, and methods used for assessing sex differences in drug safety. Because the literature is extensive, we choose to expose a few examples of studies for cardiovascular drugs, anti-infectious, psychotropics, antidiabetics, anticancer drugs and some specific drugs to illustrate our purpose. Many studies show a higher risk in women for most of drugs involving in sex differences. However, physiological, methodological and subjective points have to be taken into account to interpret these results. Clinical trials must also enroll more women to better evaluate sex differences both in efficacy and pharmacovigilance. Nevertheless, when there is a pharmacological rationale underlying the observed association between sex and drug safety profile, it is now unavoidable to think about its consideration for a personalized prescription.

Sexual dysfunction in people treated with long-acting injectable antipsychotics in monotherapy or polypharmacy: a naturalistic study

Sexual dysfunction, psychosis, and antipsychotics are known to be related, but the precise association between them is still unknown. Most evidence about the prevalence of sexual dysfunction in people treated with antipsychotic drugs comes from studies with restrictive samples. That is why our main objective was to determine the prevalence of sexual dysfunction in a real-life sample of outpatients treated with antipsychotics, considering gender. A cross-sectional naturalistic study was developed, including people treated with long-acting injectable antipsychotics, with or without other psychotropic drugs. Participants were interviewed to assess sexual satisfaction through a Likert scale (0 to 10) and the presence of sexual dysfunction (the Psychotropic-Related Sexual Dysfunction Questionnaire, PRSexDQ-SALSEX). The participants also had a blood test to determine prolactin (men and women) and testosterone levels (men only). A total of 131 people participated in the study (90 men and 41 women). Some extent of sexual dysfunction was found in 62.2% of men and 51.2% of women. The most frequent sexual dysfunction symptom for both genders was the loss of libido (45%). Hyperprolactinemia was present in 56% of men and 61% of women. The presence of sexual dysfunction was associated with higher doses of antipsychotics, hyperprolactinemia, and smoking in men and with smoking and hyperprolactinemia in postmenopausal women. This study provides real-life evidence of sexual dysfunction and hyperprolactinemia in persons treated with long-acting injectable antipsychotics segregated by gender. The high rates of sexual dysfunction and hyperprolactinemia detected corroborate the need to consider these aspects in clinical practice.

Treatment of depression: Are psychotropic drugs appropriately dosed in women and in the elderly? Dosages of psychotropic drugs by sex and age in routine clinical practice

BACKGROUND

Several researchers have shown higher concentration-dose ratios of psychotropic drugs in women and the elderly. Therefore, lower dosages of psychotropic drugs may be recommended in women and the elderly. This study describes sex- and age-related dosage of psychotropic drugs prescribed to patients with major depressive disorder (MDD) in routine clinical practice.

METHOD

Influence of sex and age on dosages are analysed for the 10 most commonly prescribed drugs in our dataset consisting of 32,082 inpatients with MDD. Data stems from the European drug safety program "Arzneimittelsicherheit in der Psychiatrie". The observed sex and age differences in prescriptions are compared to differences described in literature on age- and gender-related pharmacokinetics.

RESULTS

Among patients over 65 years, a statistically significant decrease in dosages with increasing age (between 0.65% and 2.83% for each increasing year of age) was observed, except for zopiclone. However, only slight or no influence of sex-related adjustment of dosage in prescriptions was found.

CONCLUSION

Age appears to influence adjustment of dosage in most psychotropic drugs, but to a lower extent than data on age-related pharmacokinetics suggests. Although literature also suggests that lower dosages of psychotropic drugs may be appropriate for females, this study found women are usually prescribed the same dosage as men.

Identifying key prescribing cascades in older people (iKASCADE): a transnational initiative on drug safety through a sex and gender lens-rationale and design

PURPOSE

To describe the objectives, methods and expected impact of an international consortium (iKASCADE) whose purpose is to improve drug safety for older adults by addressing prescribing cascades through a sex and gender lens.

METHODS

To create a comprehensive, internationally relevant inventory of prescribing cascades affecting older adults, the consortium has created a modified Delphi procedure where international experts in prescribing and managing pharmacotherapy for older adults will rank a list of prescribing cascades as to their clinical importance. We will use administrative and clinical data on older adults to evaluate the frequency of prescribing cascades by sex internationally, in the hospital, long-term care and community settings. Finally, we will use semi-structured interviews and realistic, country-specific vignettes, each incorporating a prescribing cascade with identified sex differences, to explore how socially constructed gender roles contribute to the experience, presentation and management of prescribing cascades.

RESULTS

The consortium will synthesize the quantitative and qualitative results to produce a position paper and products-aimed at knowledge users within and outside of academia-designed to elevate the importance of integrating a gender dimension in the identification and prevention of prescribing cascades.

CONCLUSION

Findings will improve our understanding of how adverse drug events are different between older women and men and inform the development and dissemination of tailored knowledge translation products to reduce the frequency and impact of prescribing cascades.

The Pharmacodynamics of Antipsychotic Drugs in Women and Men

Background: Animal and human experiments have confirmed sex differences in the expression of hepatic enzymes that metabolize antipsychotic drugs and that may, in this way, be partly responsible for the clinical sex/gender differences observed in the efficacy and tolerability of antipsychotic treatment. Aim: The aim of this mini review is to synthesize the literature on the pharmacodynamics of male/female differential response to antipsychotic drugs. Method: Relevant search terms were used to search for pre-clinical and human trials and analysis of antipsychotic differential drug response and occurrence/severity of adverse effects in women and men. Results: The search found that sex influences drug response via the amount of a given drug that enters the brain and the number of neurotransmitter receptors to which it can bind. Consequently, sex partly determines the efficacy of a specific drug and its liability to induce unwanted effects. There are other factors that can overshadow or enhance the dimorphic effect of sex, for instance, the host's age, hormonal status, diet and life style as well as the molecular structure of the drug and its dose, and the method of its administration. Most of all, the host's individual genetics affects each step of a drug's pharmacodynamics. Conclusion: On average, women's psychotic symptoms respond to antipsychotic drugs at doses lower than men's. This means that many women may be de facto overdosed and, thus, experience unnecessary adverse effects. That being said, factors such as genetics and age probably determine drug response and tolerability to a greater degree than do biological sex or gender social roles.