Adverse Pregnancy Outcomes and Subsequent First-Time Use of Psychiatric Treatment Among Fathers in Denmark

Importance

Becoming a first-time parent is a major life-changing event and can be challenging regardless of the pregnancy outcome. However, little is known how different adverse pregnancy outcomes affect the father's risk of psychiatric treatment post partum.

Objective

To examine the associations of adverse pregnancy outcomes with first-time psychiatric treatment in first-time fathers.

Design, Setting, and Participants

This nationwide cohort study covered January 1, 2008, to December 31, 2017, with a 1-year follow-up completed December 31, 2018. Data were gathered from Danish, nationwide registers. Participants included first-time fathers with no history of psychiatric treatment. Data were analyzed from August 1, 2022, to February 20, 2024.

Exposures

Adverse pregnancy outcomes including induced abortion, spontaneous abortion, stillbirth, small for gestational age (SGA) and not preterm, preterm with or without SGA, minor congenital malformation, major congenital malformation, and congenital malformation combined with SGA or preterm compared with a full-term healthy offspring.

Main Outcomes and Measures

Prescription of psychotropic drugs, nonpharmacological psychiatric treatment, or having a psychiatric hospital contact up to 1 year after the end of the pregnancy.

Results

Of the 192 455 fathers included (median age, 30.0 [IQR, 27.0-34.0] years), 31.1% experienced an adverse pregnancy outcome. Most of the fathers in the study had a vocational educational level (37.1%). Fathers experiencing a stillbirth had a significantly increased risk of initiating nonpharmacological psychiatric treatment (adjusted hazard ratio [AHR], 23.10 [95% CI, 18.30-29.20]) and treatment with hypnotics (AHR, 9.08 [95% CI, 5.52-14.90]). Moreover, fathers experiencing an early induced abortion (≤12 wk) had an increased risk of initiating treatment with hypnotics (AHR, 1.74 [95% CI, 1.33-2.29]) and anxiolytics (AHR, 1.79 [95% CI, 1.18-2.73]). Additionally, late induced abortion (>12 wk) (AHR, 4.46 [95% CI, 3.13-6.38]) and major congenital malformation (AHR, 1.36 [95% CI, 1.05-1.74]) were associated with increased risk of nonpharmacological treatment. In contrast, fathers having an offspring being born preterm, SGA, or with a minor congenital malformation did not have a significantly increased risk of any of the outcomes.

Conclusions and Relevance

The findings of this Danish cohort study suggest that first-time fathers who experience stillbirths or induced abortions or having an offspring with major congenital malformation had an increased risk of initiating pharmacological or nonpharmacological psychiatric treatment. These findings further suggest a need for increased awareness around the psychological state of fathers following the experience of adverse pregnancy outcomes.

The impact of type 2 diabetes and glycaemic control on mortality and clinical outcomes in hospitalized patients with COVID-19 in the capital region of Denmark

AIM

To explore the impact of type 2 diabetes (T2D), glycaemic control and use of glucose-lowering medication on clinical outcomes in hospitalized patients with COVID-19.

MATERIALS AND METHODS

For all patients admitted to a hospital in the Capital Region of Denmark (1 March 2020 to 1 December 2021) with confirmed COVID-19, we extracted data on mortality, admission to intensive care unit (ICU), demographics, comorbidities, medication use and laboratory tests from the electronic health record system. We compared patients with T2D to patients without diabetes using Cox proportional hazards models adjusted for available confounding variables. Outcomes were 30-day mortality and admission to an ICU. For patients with T2D, we also analysed the association of baseline haemoglobin A1c (HbA1c) levels and use of specific glucose-lowering medications with the outcomes.

RESULTS

In total, 4430 patients were analysed, 1236 with T2D and 2194 without diabetes. The overall 30-day mortality was 19% (n = 850) and 10% (n = 421) were admitted to an ICU. Crude analyses showed that patients with T2D both had increased mortality [hazard ratio (HR) 1.37; 95% CI 1.19-1.58] and increased risk of ICU admission (HR 1.28; 95% CI 1.04-1.57). When adjusted for available confounders, this discrepancy was attenuated for both mortality (adjusted HR 1.13; 95% CI 0.95-1.33) and risk of ICU admission (adjusted HR 1.01; 95% CI 0.79-1.29). Neither baseline haemoglobin A1c nor specific glucose-lowering medication use were significantly associated with the outcomes.

CONCLUSION

Among those hospitalized for COVID-19, patients with T2D did not have a higher risk of death and ICU admission, when adjusting for confounders.

KRAS G12C mutated advanced non-small cell lung cancer (NSCLC): Characteristics, treatment patterns and overall survival from a Danish nationwide observational register study

OBJECTIVES

We aimed to characterize the advanced NSCLC population in terms of KRAS G12C prevalence, patient characteristics, and survival outcomes after the introduction of immunotherapies.

MATERIALS AND METHODS

We identified adult patients diagnosed with advanced NSCLC between January 1, 2018 and June 30, 2021 using the Danish health registries. Patients were grouped by mutational status (any KRAS mutation, KRAS G12C, and KRAS/EGFR/ALK wildtype [Triple WT]). We analyzed KRAS G12C prevalence, patient and tumor characteristics, treatment history, time-to-next-treatment (TTNT), and overall survival (OS).

RESULTS

We identified 7,440 patients of whom 40% (n = 2,969) were KRAS tested prior to the first line of therapy (LOT1). Among the KRAS tested, 11% (n = 328) harbored KRAS G12C. More KRAS G12C patients were women (67%), smokers (86%), had a high (≥50%) level of PD-L1 expression (54%), and more frequently received anti-PD-L1 treatment than any other group. From the date of the mutational test result, OS (7.1-7.3 months) was similar between the groups. OS from LOT1 (14.0 months) and LOT2 (10.8 months), and TTNT from LOT1 (6.9 months) and LOT2 (6.3 months) was numerically longer for the KRAS G12C mutated group compared to any other group. However, from LOT1 and LOT2, the OS and TTNT were comparable when stratifying the groups by PD-L1 expression level. Regardless of the mutational group, OS was markedly longer for patients with high PD-L1 expression.

CONCLUSION

In patients diagnosed with advanced NSCLC after the implementation of anti-PD-1/L1 therapies, the survival in KRAS G12C mutated patients is comparable to patients with any KRAS mutation, Triple WT, and all NSCLC patients.

Mapping Outcomes and Registries Used in Current Danish Pharmacoepidemiological Research

Purpose

There is an increasing need for national and international pharmacoepidemiological studies based on high-quality real-world data of which the Danish registries are a valuable source. In lack of a complete overview of which data are used to assess real-world drug safety and effectiveness outcomes, we aimed to map the outcomes, data sources, and the reporting of outcome quality in recent pharmacoepidemiological studies.

Methods

We conducted a systematic mapping review of pharmacoepidemiological studies based on Danish registries investigating drug safety and/or effectiveness, published in the period 2018-2019, identified in PubMed and Scopus. Extraction included: Anatomical Therapeutic Chemical level 2 code for drug exposures, outcomes, outcome data sources, and quality of outcomes.

Results

Of the 210 included studies, 96% used outcomes categorized as Clinical, 4% utilized outcomes categorized as Society-related, 5% used outcomes categorized as Healthcare cost and utilization, and 3% of the studies applied outcomes categorized as Patient-reported in which the percentages are not mutually exclusive. Diagnosis (66%) and Mortality (38%) were the two most utilized subcategories among those categorized as Clinical outcomes. Danish Health Data Authority and Statistics Denmark registries were the most reported outcome data sources (90%). Ninety-six studies (46%) reported one or more quality parameters related to their outcomes of interest with accuracy/validity being the most reported parameter (22%).

Conclusion

The Danish registries support a wide range of outcomes. Across therapeutic areas, most studies investigate traditional clinical outcomes of disease and mortality based on data from a small number of available registries. In contrast, clinical and biochemical databases, despite potentially offering outcomes with high responsiveness, and the high-quality social and healthcare cost registries were rarely used as outcome data sources.

Duloxetine Exposure During Pregnancy and the Risk of Spontaneous and Elective Abortion: A Danish Nationwide Observational Study

BACKGROUND

Depression and antidepressant treatment are widespread among women of childbearing age.

OBJECTIVE

This study evaluates the association between duloxetine exposure during pregnancy and spontaneous and elective abortions.

PATIENTS AND METHODS

The nationwide, observational study based on register data from Denmark included women with a recorded pregnancy in the birth register or an abortion in the patient register between 2004 and 2016. Duloxetine-exposed women were compared with (1) duloxetine non-exposed, (2) selective serotonin reuptake inhibitor (SSRI)-exposed, (3) venlafaxine-exposed, and (4) women discontinuing duloxetine before pregnancy. Exposure status was based on records of redeemed prescriptions. Cox regression with adjustments and propensity score matching was applied.

RESULTS

The data from 1,019,957 pregnancies were used, including 1,212 pregnancies exposed to duloxetine. Duloxetine-exposed women had an increased hazard ratio (HR) for spontaneous abortions compared with SSRI-exposed women: propensity score matched HR 1.25 [95% confidence interval (CI), 1.00-1.57]. No increased hazard was observed for duloxetine-exposed women compared with duloxetine non-exposed: 1.08 (95% CI 0.89-1.31); venlafaxine-exposed: 1.08 (95% CI 0.82-1.41); and duloxetine discontinuers: 0.99 (95% CI 0.76-1.30). An increased HR of elective abortions was observed in duloxetine-exposed women compared to duloxetine non-exposed: 1.41 (95% CI 1.25-1.59); SSRI-exposed: 1.32 (95% CI 1.15-1.51); and duloxetine discontinuers: 1.46 (95% CI 1.23-1.75), but not to venlafaxine-exposed women: 1.09 (95% CI 0.93-1.27).

CONCLUSION

There was no increased risk of spontaneous or elective abortion associated with exposure to duloxetine. The increase risk observed for women exposed to duloxetine in comparison with SSRI-exposed for spontaneous and in comparison with all groups (except venlafaxine-exposed) for elective abortion suggested confounding.

Developing and validating COVID-19 adverse outcome risk prediction models from a bi-national European cohort of 5594 patients

Patients with severe COVID-19 have overwhelmed healthcare systems worldwide. We hypothesized that machine learning (ML) models could be used to predict risks at different stages of management and thereby provide insights into drivers and prognostic markers of disease progression and death. From a cohort of approx. 2.6 million citizens in Denmark, SARS-CoV-2 PCR tests were performed on subjects suspected for COVID-19 disease; 3944 cases had at least one positive test and were subjected to further analysis. SARS-CoV-2 positive cases from the United Kingdom Biobank was used for external validation. The ML models predicted the risk of death (Receiver Operation Characteristics—Area Under the Curve, ROC-AUC) of 0.906 at diagnosis, 0.818, at hospital admission and 0.721 at Intensive Care Unit (ICU) admission. Similar metrics were achieved for predicted risks of hospital and ICU admission and use of mechanical ventilation. Common risk factors, included age, body mass index and hypertension, although the top risk features shifted towards markers of shock and organ dysfunction in ICU patients. The external validation indicated fair predictive performance for mortality prediction, but suboptimal performance for predicting ICU admission. ML may be used to identify drivers of progression to more severe disease and for prognostication patients in patients with COVID-19. We provide access to an online risk calculator based on these findings.

The "RCT augmentation": a novel simulation method to add patient heterogeneity into phase III trials

BACKGROUND

Phase III randomized controlled trials (RCT) typically exclude certain patient subgroups, thereby potentially jeopardizing estimation of a drug's effects when prescribed to wider populations and under routine care ("effectiveness"). Conversely, enrolling heterogeneous populations in RCTs can increase endpoint variability and compromise detection of a drug's effect. We developed the "RCT augmentation" method to quantitatively support RCT design in the identification of exclusion criteria to relax to address both of these considerations. In the present manuscript, we describe the method and a case study in schizophrenia.

METHODS

We applied typical RCT exclusion criteria in a real-world dataset (cohort) of schizophrenia patients to define the "RCT population" subgroup, and assessed the impact of re-including each of the following patient subgroups: (1) illness duration 1-3 years; (2) suicide attempt; (3) alcohol abuse; (4) substance abuse; and (5) private practice management. Predictive models were built using data from different "augmented RCT populations" (i.e., subgroups where patients with one or two of such characteristics were re-included) to estimate the absolute effectiveness of the two most prevalent antipsychotics against real-world results from the entire cohort. Concurrently, the impact on RCT results of relaxing exclusion criteria was evaluated by calculating the comparative efficacy of those two antipsychotics in virtual RCTs drawing on different "augmented RCT populations".

RESULTS

Data from the "RCT population", which was defined with typical exclusion criteria, allowed for a prediction of effectiveness with a bias < 2% and mean squared error (MSE) = 5.8-6.8%. Compared to this typical RCT, RCTs using augmented populations provided improved effectiveness predictions (bias < 2%, MSE = 5.3-6.7%), while returning more variable comparative effects. The impact of augmentation depended on the exclusion criterion relaxed. Furthermore, half of the benefit of relaxing each criterion was gained from re-including the first 10-20% of patients with the corresponding real-world characteristic.

CONCLUSIONS

Simulating the inclusion of real-world subpopulations into an RCT before running it allows for quantification of the impact of each re-inclusion upon effect detection (statistical power) and generalizability of trial results, thereby explicating this trade-off and enabling a controlled increase in population heterogeneity in the RCT design.

The "Efficacy-Effectiveness Gap": Historical Background and Current Conceptualization

BACKGROUND

The concept of the "efficacy-effectiveness gap" (EEG) has started to challenge confidence in decisions made for drugs when based on randomized controlled trials alone. Launched by the Innovative Medicines Initiative, the GetReal project aims to improve understanding of how to reconcile evidence to support efficacy and effectiveness and at proposing operational solutions.

OBJECTIVES

The objectives of the present narrative review were 1) to understand the historical background in which the concept of the EEG has emerged and 2) to describe the conceptualization of EEG.

METHODS

A focused literature review was conducted across the gray literature and articles published in English reporting insights on the EEG concept. The identification of different "paradigms" was performed by simple inductive analysis of the documents' content.

RESULTS

The literature on the EEG falls into three major paradigms, in which EEG is related to 1) real-life characteristics of the health care system; 2) the method used to measure the drug's effect; and 3) a complex interaction between the drug's biological effect and contextual factors.

CONCLUSIONS

The third paradigm provides an opportunity to look beyond any dichotomy between "standardized" versus "real-life" characteristics of the health care system and study designs. Namely, future research will determine whether the identification of these contextual factors can help to best design randomized controlled trials that provide better estimates of drugs' effectiveness.