Antidepressant Prescription Research Articles

Implementation of CYP2C19 and CYP2D6 genotyping to guide antidepressant use in a large rural health system.

We describe the implementation and ongoing maintenance of CYP2C19 and CYP2D6 focused pharmacogenetic (PGx) testing to guide antidepressant and antianxiety medication prescriptions in a large rural, nonprofit health system. Depression and anxiety are common psychiatric conditions. Sanford Health implemented PGx testing for metabolism of cytochrome P450 (CYP) isozymes 2C19 and 2D6 in 2014 to inform prescribing for multiple medications, including antidepressant and antianxiety therapies. As guidelines, genotype to phenotype translation, panel offerings, and other resources are updated, we adapt our approach. We make educational and informational materials available to providers and patients. Pharmacogenomic clinical pharmacists review PGx results with discrete values and provide guidance documentation in the electronic medical record. A robust clinical decision support system is in place to provide interruptive alerts, noninterruptive alerts, and genomic indicators. A referral-based interdisciplinary clinic is also available to provide in-depth education to patients regarding PGx results and implications. Additionally, partnering with our health plan has expanded access to PGx testing for patients with anxiety or depression. The implementation and maintenance of Sanford Health's PGx program to guide antidepressant and antianxiety medication use continues to evolve and requires a multipronged approach relying on both human and informatics-based resources.

Radiofrequency ablation of superior hypogastric ganglion and dorsal root ganglion reduces neuropathic pain in L5-S1 disc anterior protrusion: a case report

Approximately 36%-55% of patients with chronic low back pain (LBP) have neuropathic pain syndrome. Prescription of adjuvant analgesics or antidepressants is effective in reducing pain but requires special attention. A female patient, 57 y, presented with complaints of LBP for 5-7 days. Pain was spread bilateral in the hips-groin, as well as to the fingers and soles (NRS 6-8, PainDETECT 35). She had history of falls 10 y ago, but still worked for 5 hours daily. She had allodynia, dysesthesia, hyperalgesia, and L4-5 and L5-S1 hypesthesia. Magnetic resonance imaging (MRI) showed postero-central and lateral bulged L4-5 and L5-S1 discs. Radiofrequency ablation (RFA) 70o of superior hypogastric ganglion for 90 sec, and pulsed radiofrequency (PRF) 42o of dorsal root ganglion (DRG) L4-5, L5-S1 bilaterally for 2 min reduced nociceptive pain (NRS 2-3) and neuropathic pain (PainDETECT 12). Post-surgical medication included levofloxacin, gabapentin, paracetamol, amitriptyline and Vitamin B12. The sympathetic ganglia supply the anterior segments of the lumbar vertebrae and the anterior longitudinal ligament, often overlooked as a cause of pain. The management of LBP patient depends upon the etiology, whether associated to structural abnormalities or nerve dysfunction. Keywords: anterior disc herniation, dorsal root ganglion, lumbar disc herniation, neuropathic pain, superior hypogastric ganglion, radiofrequency Citation: Budisulistyo T. Radiofrequency ablation of superior hypogastric ganglion and dorsal root ganglion reduces neuropathic pain in L5-S1 disc anterior protrusion: a case report. Anaesth. pain intensive care 2024;28(4):757−761; DOI: 10.35975/apic.v28i4.2523 Received: August 02, 2023; Reviewed: December 26, 2023; Accepted: December 26, 2023

Suicidal ideation following ketamine prescription in patients with recurrent major depressive disorder: a nation-wide cohort study

Ketamine has gained attention for its effective treatment for patients with major depressive disorder (MDD) and suicidal ideation; Despite numerous studies presenting the rapid efficacy, long-term benefit in real-world populations remains poorly characterized. This is a retrospective cohort study using TriNetX US Collaborative Network, a platform aggregating electronic health records (EHRs) data from 108 million patients from 62 health care organizations in the US, and the study population includes 514,988 patients with a diagnosis of recurrent MDD who were prescribed relevant treatment in their EHRs. The prescription of ketamine was associated with significantly decreased risk of suicidal ideation compared to the prescription of other common antidepressants: HR = 0.63 (95% CI: 0.53–0.76) at 1 day – 7 days, 0.67 (95% CI: 0.59–0.77) at 1 day – 30 days, 0.69 (95% CI: 0.62–0.77) at 1 day – 90 days, 0.74 (95% CI: 0.67–0.81) at 1 day – 180 days, and 0.78 (95% CI: 0.69–0.83) at 1 day – 270 days. This trend was especially robust among adults over 24 years of age, females, males, and White patients with recurrent MDD. This study provides real-world evidence that ketamine has long-term benefits in mitigating suicidal ideation in patients with recurrent MDD. Future work should focus on optimizing dosage regimens for ketamine, understanding the mechanism, and the difference in various demographic subpopulations.

Decision Support and Behavioral Health for Reducing High-Dose Opioids in Comorbid Chronic Pain, Depression and Anxiety: Stepped-Wedge Cluster Randomized Trial.

High prevalence of depression or anxiety with opioid use for chronic pain complicates co-management and may influence prescribing behaviors. Compare clinical effectiveness of electronic medical record clinical decision support (EMR-CDS) versus additional behavioral health (BH) care management for reducing rates of high-dose opioid prescriptions. Type 2 effectiveness-implementation hybrid stepped-wedge cluster randomized trial in 35 primary care clinics within a health system in LA, USA. Patients aged 18+ receiving chronic opioid therapy for non-cancer pain with depression or anxiety and matched controls. EMR-CDS included opioid risk mitigation procedures. BH care included cognitive behavioral therapy; depression or anxiety medication adjustments; and case management. Outcomes of interest included difference-in-difference (DID) estimate of changes in probability for prescribing high-dose morphine equivalent daily dose (MEDD ≥50 mg/day and MEDD ≥90), average MEDD, and rates of hospitalization, emergency department use, and opioid risk mitigation. Most participants were female with 3+ pain syndromes. Data analysis included 632 patients. Absolute risk differences for MEDD≥50 and ≥90 decreased post-index compared to pre-index (DID of absolute risk difference [95%CI]: -0.036 [-0.089, 0.016] and -0.029 [-0.060, 0.002], respectively). However, these differences were not statistically significant. The average MEDD decreased at a higher rate for the BH group compared to EMR-CDS only (DID rate ratio [95%CI]: 0.85 [0.77, 0.93]). There were no changes in hospitalization and emergency department utilization. The BH group had higher probabilities of new specialty referrals and prescriptions for naloxone and antidepressants. Incorporation of a multidisciplinary behavioral health care team into primary care did not decrease high-dose prescribing; however, it improved adherence to clinical guideline recommendations for managing chronic opioid therapy for non-cancer pain. ClinicalTrials.gov ID NCT03889418.

Patterns of antidepressant prescribing and health-related outcomes among older adults in Northern Ireland: an administrative data study

Objectives This study identifies patterns of antidepressant prescribing and subsequent hospital admissions from 2010 to 2018 amongst older adults in Northern Ireland (NI). Method Participants comprised all General Practitioner (GP)-registered adults aged fifty-five years and above on 01/01/2010 (n = 386,119). Administrative data linkage included demographic information; antidepressant prescribing data from the NI Enhanced Prescribing Database (EPD); and hospital patient admissions. Repeated measures latent class analysis (RMLCA) identified patterns of antidepressant prescribing (from 2010 to 2018). Results RMLCA identified four latent classes: decreasing antidepressant prescribing (5.9%); increasing antidepressant prescribing (8.0%); no-antidepressant prescribing (68.7%); and long-term antidepressant prescribing (17.5%). Compared with those in no-antidepressant prescribing class, persons in the remaining classes were more likely to be female and younger, and less likely to live in either rural areas or less-deprived areas. Compared with no-antidepressant prescribing, those with increasing antidepressant prescribing were 60% and 52% more likely to be admitted to hospital in 2019 and 2020, respectively, and their admission rate per year was 11% and 8% higher in 2019 and 2020, respectively. Similarly, those with long-term prescriptions were 70% and 67% more likely to be admitted to hospital in 2019 and 2020, respectively, and their admission rate per year was 14% and 9% higher in 2019 and 2020, respectively. Conclusion Findings show that approximately 26% of the NI hospital admissions population were impacted by sustained or increasing antidepressant prescribing. Because of their increased likelihood of hospitalization, these individuals may benefit from psychosocial support and social prescribing alternatives to psychopharmacological treatment.

Urea Level and Depression in Patients with Chronic Kidney Disease.

Depression is common in patients with chronic kidney disease (CKD). Experimental studies suggest the role of urea toxicity in depression. We assessed both the incidence of antidepressant prescriptions and depressive symptoms (measured by CESD (Center for Epidemiologic Depression) scale) in 2505 patients with CKD (Stage 3-4) followed up over 5 years in the Chronic Kidney Disease Renal Epidemiology and Information Network (CKD-REIN) cohort. We used a joint model to assess the association between the serum urea level and incident antidepressant prescriptions, and mixed models for the association between the baseline serum urea level and CESD score over the 5-year follow-up. Among the 2505 patients, 2331 were not taking antidepressants at baseline. Of the latter, 87 started taking one during a median follow-up of 4.6 years. After adjustment for confounding factors, the hazard ratio for incident antidepressant prescription associated with the serum urea level (1.28 [95%CI, 0.94,1.73] per 5 mmol/L increment) was not significant. After adjustment, the serum urea level was associated with the mean change in the CESD score (β = 0.26, [95%CI, 0.11,0.41] per 5 mmol/L increment). Depressive symptoms burden was associated with serum urea level unlike depression events. Further studies are needed to draw firm conclusions and better understand the mechanisms of depression in CKD.

Psychiatric morbidity across the life course and provoked vulvodynia: is it dependent upon the presence of non-stress-related immune dysfunction?

Vulvodynia impacts up to 8% of women by age 40, and these women may have a more compromised immune system than women with no vulvar pain history. Given that psychiatric morbidity is associated with vulvodynia and is known to activate immune inflammatory pathways in the brain and systemically, we sought to determine whether the association between psychiatric morbidity and vulvar pain was independent of or dependent upon the presence of immune-related conditions. Women born in Sweden between 1973 and 1996 with localized provoked vulvodynia (N76.3) and/or vaginismus (N94.2 or F52.5) diagnosed between 2001 and 2018 were matched to two women from the same birth year with no vulvar pain. International Statistical Classification of Diseases and Related Health Problems (ICD-9 or -10 codes) were used to identify women with a history of depression, anxiety, attempted suicide, neurotic disorders, stress-related disorders, behavioral syndromes, personality disorders, psychotic disorders, or chemical dependencies, as well as a spectrum of immune-related conditions. The Swedish National Prescribed Drug Register was used to identify women with filled prescriptions of antidepressants or anxiolytics. Vulvodynia, vaginismus, or both were outcomes assessed in relation to psychiatric morbidity. Women with vulvodynia, vaginismus, or both, relative to those without vulvar pain, had adjusted odds ratios between 1.4 and 2.3, with CIs highly compatible with harmful effects. When we assessed women with and those without a lifetime history of immune-related conditions separately, we also observed elevated odds ratios in both groups for mood, anxiety, and neurotic and stress disorders. Documenting psychiatric impairment as a cause or consequence of vulvodynia is critical in clinical practice because psychiatric conditions may impact treatment efficacy. Strengths of this study include a data source that represents the entire population of women in Sweden that is known to be highly accurate because Sweden provides universal healthcare. Limitations include difficulty in making an accurate assessment of temporality between psychiatric morbidity and the first onset of vulvar pain. In addition, because Swedish registry data have limited information on lifestyle, behavioral, and anthropomorphic factors such as smoking, diet, physical activity, and obesity, these conditions could not be assessed as confounders of psychiatric morbidity and vulvar pain. Immune pathways by which women with psychiatric conditions increase their risk of vulvar pain could be independent from other immune pathways.

Benzodiazepine Prescription Patterns After Mild Traumatic Brain Injury inU.S. Military Service Members.

Clinical practice guidelines (CPGs) and clinical recommendations (CRs) are developed to aide and guide providers in treating a variety of conditions, including traumatic brain injury (TBI). There is little knowledge on the impact that CPGs and CRs have on provider practice. One TBI recommendation that was able to be tracked in medical record codes was the use of benzodiazepines (BZD). Because of potential for misuse, diversion, addiction, cognitive impairment, and brain healing interference, the DoD and Department of Veterans Affairs (VA) jointly discourage prescribing BZD after TBI. As part of an effort to look at translation of CPG guidance into clinical practice, our objective was to examine the issuance of BZD prescriptions, including dose, type, and prescribing provider, prescribing setting, and primary diagnosis at issuance among U.S. service members with mild Traumatic Brian Injury (mTBI). Using DoD data sourced from the Comprehensive Ambulatory/Professional Encounter Record (CAPER) databases of the Military Health System (MHS) Medical Data Repository (MDR), we identified all U.S. service members with a first lifetime diagnosis of mTBI from October 1, 2015 to September 30, 2016. Data on prescriptions issued to this group during a period of active treatment for a mTBI were obtained from the Pharmacy Detail Transaction Service (PDTS) databases of the MDR and identified BZD prescriptions based on the American Hospital Formulary Service (AHFS) therapeutic classification system. We validated coding assumptions through structured review of the clinical record contained within the Armed Forces Health Longitudinal Technology Application (AHLTA) of 30 randomly selected cohort members. Among U.S. service members, 4.5% filled a BZD prescription while under active medical treatment for a recent mTBI. These service members were more likely female and older when compared to their counterparts not prescribed BZD. Among service members under active treatment for mTBI during the study period, 52.6% (n = 7,935) filled a prescription; of these, 8.5% (n = 676) filled a BZD prescription. Of U.S. service members filing a BZD prescription while undergoing active treatment for an mTBI, 64.6% (n = 437) filled prescriptions for BZD and antidepressants, 54.9% (n = 371) filled prescriptions for both BZD and NSAIDS, and 42.2% (n = 285) concurrently filled prescriptions for BZD and opioids. This effort to examine the translation of CPG recommendations into practice through evaluation of medical record data indicates that providers are prescribing BZD to patients under active treatment for an acute mTBI. The mTBI CPG recommends that the BZD class of medications be avoided in patients healing from brain injury. However, the team recognizes there are confounding factors that may impact the medications that are prescribed for patients with mTBI. Additional work to understand how CPGs and CRs are received and utilized by providers may elucidate opportunities to close the gap between clinical practice guidance and clinical practice.

Applying natural language processing to patient messages to identify depression concerns in cancer patients.

This study aims to explore and develop tools for early identification of depression concerns among cancer patients by leveraging the novel data source of messages sent through a secure patient portal. We developed classifiers based on logistic regression (LR), support vector machines (SVMs), and 2 Bidirectional Encoder Representations from Transformers (BERT) models (original and Reddit-pretrained) on 6600 patient messages from a cancer center (2009-2022), annotated by a panel of healthcare professionals. Performance was compared using AUROC scores, and model fairness and explainability were examined. We also examined correlations between model predictions and depression diagnosis and treatment. BERT and RedditBERT attained AUROC scores of 0.88 and 0.86, respectively, compared to 0.79 for LR and 0.83 for SVM. BERT showed bigger differences in performance across sex, race, and ethnicity than RedditBERT. Patients who sent messages classified as concerning had a higher chance of receiving a depression diagnosis, a prescription for antidepressants, or a referral to the psycho-oncologist. Explanations from BERT and RedditBERT differed, with no clear preference from annotators. We show the potential of BERT and RedditBERT in identifying depression concerns in messages from cancer patients. Performance disparities across demographic groups highlight the need for careful consideration of potential biases. Further research is needed to address biases, evaluate real-world impacts, and ensure responsible integration into clinical settings. This work represents a significant methodological advancement in the early identification of depression concerns among cancer patients. Our work contributes to a route to reduce clinical burden while enhancing overall patient care, leveraging BERT-based models.

Association between antidepressant use and delirium in older adults: an analysis of the World Health Organization’s global pharmacovigilance database

BackgroundPsychoactive drugs frequently cause delirium adverse events in older adults. However, few data on the relationship between antidepressants and delirium are available. Here, we investigated the association between antidepressant prescription and pharmacovigilance reports of delirium in older adults.MethodsUsing the World Health Organization’s VigiBase® global pharmacovigilance database from 1967 to 2022, we performed a disproportionality analysis in order to probe the putative associations between each antidepressant class (non-selective monoamine reuptake inhibitors (NSMRIs), selective serotonin reuptake inhibitors (SSRIs), serotonin-norepinephrine reuptake inhibitors (SNRIs), monoamine oxidase inhibitors (MAOIs), alpha-2-adrenergic receptor antagonists, and other antidepressants) and reports of delirium in people aged 65 or over. We calculated the reporting odds ratios (r-OR) and their 95% confidence interval ([95%CI]) with logistic regression models before and after adjustment for confounding factors. Secondary analyses were performed for each drug and within each class by age group (65-74, and 75 and over). We also studied the reports of concomitant delirium and hyponatremia.ResultsOur main analysis included 87,524 cases of delirium. After adjustment for confounders, a significant association was found between delirium and all antidepressant classes other than SNRIs. Intraclass disparities were found for the association between the most frequently prescribed antidepressants and reports of delirium. An elevated risk of reports of concomitant delirium and hyponatremia was found for SSRIs (4.46 [4.01-4.96]), SNRIs (1.25 [1.07-1.46]), MAOIs (1.72 [1.41-2.09]), and the “other antidepressants” class (1.47 [1.30-1.65]).ConclusionsThere was a significant association between reports of delirium and antidepressant classes (other than SNRIs). However, this association varied from one drug to another within a given antidepressant class. Moreover, this association could not always be explained by antidepressant-induced hyponatremia.

Efficacy and safety of pharmacogenomic-guided antidepressant prescribing in patients with depression: an umbrella review and updated meta-analysis.

To determine the efficacy and safety of pharmacogenomics (PGx)-guided antidepressant prescribing in patients with depression through an umbrella review and updated meta-analysis. A comprehensive systematic search was conducted on PsycINFO, PubMed, Embase and the Cochrane databases. The pooled effect sizes of randomized controlled trials (RCTs) were expressed as mean differences for continuous data and risk ratios for noncontinuous data. Patients who received PGx-guided medications were 41% to 78% more likely to achieve remission and 20% to 49% more likely to respond to antidepressants than patients receiving treatment-as-usual (TAU). PGx-guided antidepressant prescribing improves the treatment of depression. However, the significance and magnitude of the benefit varies widely between studies and different PGx testing panels. https://www.crd.york.ac.uk/prospero/, identifier CRD42022321324.

Antidepressant and antipsychotic prescribing in patients with type 2 diabetes in Scotland: A time-trend analysis from 2004 to 2021.

Prescribing of antidepressant and antipsychotic drugs in general populations has increased in the United Kingdom, but prescribing trends in people with type 2 diabetes (T2D) have not previously been investigated. The aim of this study was to describe time trends in annual prevalence of antidepressant and antipsychotic drug prescribing in adult patients with T2D. We conducted repeated annual cross-sectional analysesof a population-based diabetes registry with 99% coverage, derived from primary and secondary care data in Scotland, from 2004 to 2021. For each cross-sectional calendar year time period, we calculated the prevalence of antidepressant and antipsychotic drug prescribing, overall and by sociodemographic characteristics and drug subtype. The number of patients with a T2D diagnosis in Scotland increased from 161 915 in 2004 to 309 288 in 2021. Prevalence of antidepressant and antipsychotic prescribing in patients with T2D increased markedly between 2004 and 2021 (from 20.0 per 100 person-years to 33.3 per 100 person-years and from 2.8 per 100 person-years to 4.7 per 100 person-years, respectively). We observed this pattern for all drug subtypes except for first-generation antipsychotics, prescribing of which remained largely stable. The degree of increase, as well as the overall prevalence of prescribing, differed by age, sex, socioeconomic status and subtype of drug class. There has been a marked increase in the prevalence of antidepressant and antipsychotic prescribing in patients with T2D in Scotland. Further research should identify the reasons for this increase, including indication for use and the extent to which this reflects increases in incident prescribing rather than increased duration.

The risks for major psychiatric disorders in the siblings of probands with major depressive disorder.

Using a case-controlled study including siblings of major depression (MD) and control probands, born 1970-1990 and followed through 2018, we sought to clarify the degree to which the familial liability to MD is reflected in its clinical features, and the pattern of psychiatric disorders at elevated risk in the siblings of MD probands. The study population included full-siblings of 197,309 MD and matched 197,309 control probands. The proband-sibling tetrachoric correlation of for MD was +0.20. Both linear and quadratic effects of younger AAO and number of episodes significantly increased the risk of MD in siblings. Male sex, anxiety disorder, alcohol use disorder (AUD), inpatient treatment, psychotic symptoms, severity, and antidepressant prescription in MD probands increased the risk of MD in siblings. Cox proportional hazard models (hazard ratios, 95% CI) revealed a significantly increased risk of attention deficit hyperactivity disorder (1.82, 1.76-1.88), generalized anxiety disorder (1.79, 1.74-1.85), bipolar disorder (1.78, 1.70-1.85), MD (1.74, 1.72-1.76), obsessive-compulsive disorder (1.72, 1.65-1.80), phobic anxiety disorder (1.71, 1.65-1.76), and panic disorder (1.68, 1.64-1.72) in MD co-siblings. The HRs for AUD (1.64, 1.60-1.68), post-traumatic stress disorder (1.62, 1.59-1.66) were modestly lower, and the lowest was seen for schizophrenia (1.42, 1.30-1.54). The overall pattern of increased risk of these disorders was similar in reared-apart half-siblings and cousins of MD probands. Our findings suggest that MD is familial, and a range of important clinical factors predict its familial liability. The familial liability to MD, mostly due to genetic factors, is shared with a broad range of psychiatric disorders.

Association between previous SARs-CoV-2 infection and new prescription of antidepressant drugs: a case-control study in Friuli Venezia Giulia region, Italy.

A rise in affective and anxiety disorders and in antidepressant (AD) treatment during the COVID-19 pandemic has been extensively described, but few studies were provided at the individual level, further considering COVID-19 severity and vaccination status. Case-control study evaluating the association between the new use of ADs and a previous COVID-19 infection, in Friuli Venezia Giulia Region, Italy, from March 1, 2020, to July 19, 2022. Multiple conditional logistic regressions assess the association between a new AD use and a COVID-19 infection previous to the index date, stratified by gender, age and anti-COVID-19 vaccination status. Odds Ratios (OR) and 95% confidence intervals were reported. COVID-19 was associated with AD treatment after the infection. The disease severity was positively associated with a growing risk of being dispensed an AD, with the highest risk in unvaccinated subjects previously hospitalised in ICU (OR = 28.77). The risk of using ADs after COVID-19 infection was higher in unvaccinated subjects aged 65 years and older, both females and males. The association between COVID-19 infection and AD dispensation in vaccinated subjects was not significant, with the exception of females aged 65 years and over. Anti-COVID-19 vaccination, especially among the elderly, might prevent post-COVID AD treatment. Clinicians should be aware that COVID-19 patients requiring hospitalisation are more likely to experience these symptoms, given their higher risk of being dispensed ADs. Future studies may benefit by analysing the incidence of both mental disorders and psychotropic treatment in post-COVID patients, considering socioeconomic factors and vaccination status.

Prolonged increase in psychotropic drug use among young women following the COVID-19 pandemic: a French nationwide retrospective study

BackgroundThe COVID-19 pandemic has had a significant impact on mental health, with evidence suggesting an enduring mental health crisis. Studies worldwide observed increased usage of antidepressants, anxiolytics, and hypnotics during the pandemic, notably among young people and women. However, few studies tracked consumption post-2021. Our study aimed to fill this gap by investigating whether the surge in the number psychotropic drug consumers in France persisted 2 years after the first lockdown, particularly focusing on age and gender differences.MethodsWe conducted a national retrospective observational study based on the French national insurance database. We retrieved all prescriptions of anxiolytics, hypnotics, and antidepressants dispensed in pharmacies in France for the period 2015–2022. We performed interrupted time series analyses based on Poisson models for five age classes (12–18; 19–25; 26–50; 51–75; 76 and more) to assess the trend before lockdown, the gap induced and the change in trend after.ResultsIn the overall population, the number of consumers remained constant for antidepressants while it decreased for anxiolytics and hypnotics. Despite this global trend, a long-term increase was observed in the 12–18 and 19–25 groups for the three drug classes. Moreover, for these age classes, the increases were more pronounced for women than men, except for hypnotics where the trends were similar.ConclusionsThe number of people using antidepressants continues to increase more than 2 years after the first lockdown, showing a prolonged effect on mental health. This effect is particularly striking among adolescents and young adults confirming the devastating long-term impact of the pandemic on their mental health.

Machine learning for antidepressant treatment selection in depression

Finding the right antidepressant for the individual patient with major depressive disorder can be a difficult endeavor and is mostly based on trial-and-error. Machine learning (ML) is a promising tool to personalize antidepressant prescription. In this review, we summarize the current evidence of ML in the selection of antidepressants and conclude that its value for clinical practice is still limited. Apart from the current focus on effectiveness, several other factors should be taken into account to make ML-based prediction models useful for clinical application.

Persistent racial disparities in postoperative management after tibia fracture fixation: A matched analysis of US medicaid beneficiaries

IntroductionRacial and ethnic disparities in orthopaedic surgery are well documented. However, the extent to which these persist in fracture care is unknown. This study sought to assess racial disparities in the postoperative surgical and medical management of patients after diaphyseal tibia fracture fixation. MethodsPatients with surgically treated tibial shaft fractures from October 1, 2015, to December 31, 2020, were identified in the MarketScan® Medicaid Database. Exclusion criteria included concurrent fractures or amputation. Outcomes included 2-year postoperative complications, reoperation rates, and filled prescriptions. Surgically-treated Black and White cohorts were propensity-score matched using nearest-neighbor matching on patient demographics, comorbidities, fracture pattern and severity, and fixation type. Chi-square tests and survival analyses (Kaplan-Meier and Cox proportional hazard models) were conducted. Results5,472 patients were included, 2,209 Black and 3,263 White patients. After matching, 2,209 were retained in each cohort. No significant differences in complication rates were observed in the matched Black vs White cohorts. Rates of reoperation, however, were significantly lower in Black as compared to White patients (28.5 % vs. 35.5 % rate, risk difference = 7.0 % (95 % confidence interval (CI): 4.2 % to 9.7 %)). Implant removal was also significantly lower in Black (17.9 %) vs. White (25.1 %) patients (Risk difference = 7.2 %, (95 %CI: 4.8 % to 9.6 %)). The adjusted hazard ratio comparing the reoperation rate in Black versus White patients was 0.77 (95 %CI: 0.69-0.82, p < 0.0001). Significantly lower proportions of Black vs White patients filled at least one prescription for benzodiazepine, antidepressants, strong opiates, or antibiotics at every time point post-index. DiscussionFewer resources were used in post-operative management after surgical treatment of tibial shaft fractures for Black versus White Medicaid-insured patients. These results may be reflective of the undertreatment of complications after tibia fracture surgery for Black patients and highlight the need for further interventions to address racial disparities in trauma care.

Socio-demographic variation in diagnosis of and prescribing for common mental illnesses among children and young people during the COVID-19 pandemic: time series analysis of primary care electronic health records.

The impact of the COVID-19 pandemic on the mental health of children and young people (CYP) has been widely reported. Primary care electronic health records were utilised to examine trends in the diagnosing, recording and treating of these common mental disorders by ethnicity and social deprivation in Greater Manchester, England. Time-series analyses conducted using Greater Manchester Care Record (GMCR) data examined all diagnosed episodes of anxiety disorders and depression and prescribing of anxiolytics and antidepressants among patients aged 6-24 years. The 41-month observation period was split into three epochs: Pre-pandemic (1/2019-2/2020); Pandemic Phase 1 (3/2020-6/2021); Pandemic Phase 2 (7/2021-5/2022). Rate ratios for all CYP specific to sex, age, ethnicity, and neighbourhood-level Indices of Multiple Deprivation (IMD) quintile were modelled using negative binomial regression. Depression and anxiety disorder rates were highest in females, CYP aged 19-24, and White and 'Other' ethnic groups. During Pandemic Phase 1, rates for these diagnoses fell in all demographic subgroups and then rose to similar levels as those recorded pre-pandemic. In Pandemic Phase 2, rates in Black and Mixed-ethnicity females rose to a significantly greater degree (by 54% and 62%, respectively) than those in White females. Prescribing rates increased throughout the study period, with significantly greater rises observed in non-White females and males. The temporal trends were mostly homogeneous across deprivation quintiles. The observed fluctuations in frequency of recorded common mental illness diagnoses likely reflect service accessibility and patients' differential propensities to consult as well as changing levels of distress and psychopathology in the population. However, psychotropic medication prescribing increased throughout the observation period, possibly indicating a sustained decline in mental health among CYP, and also clinicians' responses to problems presented. The comparatively greater increases in frequencies of diagnosis recording and medication prescribing among ethnic minority groups warrants further investigation.

Prenatal antidepressant use and risk of congenital malformations: A population-based cohort study

Previous studies examining antidepressants and congenital-malformations were primarily conducted in western countries, and many were constrained by important methodological limitations. This population-based study identified 465,069 women (including 1,705 redeemed ≥1 prescription of antidepressants during first-trimester) aged 15–50 years who delivered their first and singleton child between 2003 and 2018 in a predominantly-Chinese population in Hong Kong, using territory-wide medical-record database of public-healthcare services, and employed propensity-score fine-stratification-weighted logistic-regression analyses to evaluate risk of any major and organ/system-specific congenital-malformations following first-trimester exposure to antidepressants. Major malformation overall was not associated with any antidepressant (weighted-odds-ratio wOR, 0.88 [95 %CI, 0.44–1.76]), specific drug-class, or individual antidepressants. Exposure to any antidepressant was associated with increased risk of cardiac (wOR, 1.82 [95 %CI, 1.07–3.12]) and respiratory anomalies (wOR,4.11 [95 %CI, 1.61–10.45]). Exposure to selective-serotonin-reuptake-inhibitors (SSRI) and multiple-AD-classes were associated with respiratory and cardiac anomalies, respectively. However, these identified associations were not consistently affirmed across sensitivity analyses, precluding firm conclusion. Observed associations of specific cardiac defects with serotonin-norepinephrine-reuptake-inhibitors (SNRI), tricyclic-antidepressants (TCA) and multiple-AD-classes were noted with wide confidence-intervals, suggesting imprecise estimation. Overall, our findings suggest that first-trimester antidepressant exposure was not robustly associated with increased risk of congenital-malformations. Further research clarifying comparative safety of individual antidepressants on specific malformations is warranted.

The Effect of COVID-19 on Mood Disorders in Urban and Suburban Detroit

Introduction: The COVID-19 pandemic has increased the global experience of anxiety and depression due to social isolation and government-mandated quarantine for transmission reduction. To date, literature surrounding the mental health effects of COVID-19 for the US population is limited. Methods: This is a retrospective study from a large metropolitan Detroit health system. Patient encounters between December 23, 2018, and June 22, 2021, with March 23, 2020, the start of Michigan state-wide lockdown, were used to define pre- and post-COVID-19. The data was divided into Detroit and non-Detroit based on patient zip code. All patients aged 13+ years old with a visit with a family medicine provider were included. Outcome variables included Patient Health Questionnaires-2 and -9 and General Anxiety Disorder-7 scores, diagnoses of depression, anxiety, adjustment and grief disorders, antidepressant prescriptions, and behavioral health referrals. Logistic regression was used to determine the incidence of composite mood disorder, depression, and anxiety. Results: A total of 20,970 individuals were included in this study: 10,613 in the Detroit subgroup and 10,357 in the non-Detroit subgroup. 88.2% of the Detroit population were Black and 70% were female. Logistic regression shows that the incidence of composite mood disorder decreased with increasing age (odds ratio [OR] 0.787, 0.608, 0.422, and 0.392; p<0.001). Male gender is a protective factor (OR 0.646, p<0.001). Federal insurance is the only factor presenting a statistically significant increased risk (OR 1.395, p<0.001). There was no statistical difference between residing in urban and suburban on incidence of composite mood disorder [OR 0.996 p=0.953] Conclusions: Our research demonstrates that residing in an urban setting did not increase the risk of developing a mental health disorder during the COVID-19 period.