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1.
JAMA Netw Open ; 7(4): e247965, 2024 Apr 01.
Article En | MEDLINE | ID: mdl-38652474

Importance: Numerous studies have provided evidence for the negative associations of the COVID-19 pandemic with mental health, but data on the use of psychotropic medication in children and adolescents after the onset of the COVID-19 pandemic are lacking. Objective: To assess the rates and trends of psychotropic medication prescribing before and over the 2 years after the onset of the COVID-19 pandemic in children and adolescents in France. Design, Setting, and Participants: This cross-sectional study used nationwide interrupted time-series analysis of outpatient drug dispensing data from the IQVIA X-ponent database. All 8 839 143 psychotropic medication prescriptions dispensed to children (6 to 11 years of age) and adolescents (12 to 17 years of age) between January 2016 and May 2022 in France were retrieved and analyzed. Exposure: Onset of COVID-19 pandemic. Main outcomes and Measures: Monthly rates of psychotropic medication prescriptions per 1000 children and adolescents were analyzed using a quasi-Poisson regression before and after the pandemic onset (March 2020), and percentage changes in rates and trends were assessed. After the pandemic onset, rate ratios (RRs) were calculated between estimated and expected monthly prescription rates. Analyses were stratified by psychotropic medication class (antipsychotic, anxiolytic, hypnotic and sedative, antidepressant, and psychostimulant) and age group (children, adolescents). Results: In total, 8 839 143 psychotropic medication prescriptions were analyzed, 5 884 819 [66.6%] for adolescents and 2 954 324 [33.4%] for children. In January 2016, the estimated rate of monthly psychotropic medication prescriptions was 9.9 per 1000 children and adolescents, with the prepandemic rate increasing by 0.4% per month (95% CI, 0.3%-0.4%). In March 2020, the monthly prescription rate dropped by 11.5% (95% CI, -17.7% to -4.9%). During the 2 years following the pandemic onset, the trend changed significantly, and the prescription rate increased by 1.3% per month (95% CI, 1.2%-1.5%), reaching 16.1 per 1000 children and adolescents in May 2022. Monthly rates of psychotropic medication prescriptions exceeded the expected rates by 11% (RR, 1.11 [95% CI, 1.08-1.14]). Increases in prescribing trends were observed for all psychotropic medication classes after the pandemic onset but were substantial for anxiolytics, hypnotics and sedatives, and antidepressants. Prescription rates rose above those expected for all psychotropic medication classes except psychostimulants (RR, 1.12 [95% CI, 1.09-1.15] in adolescents and 1.06 [95% CI, 1.05-1.07] in children for antipsychotics; RR, 1.30 [95% CI, 1.25-1.35] in adolescents and 1.11 [95% CI, 1.09-1.12] in children for anxiolytics; RR, 2.50 [95% CI, 2.23-2.77] in adolescents and 1.40 [95% CI, 1.30-1.50] in children for hypnotics and sedatives; RR, 1.38 [95% CI, 1.29-1.47] in adolescents and 1.23 [95% CI, 1.20-1.25] in children for antidepressants; and RR, 0.97 [95% CI, 0.95-0.98] in adolescents and 1.02 [95% CI, 1.00-1.04] in children for psychostimulants). Changes were more pronounced among adolescents than children. Conclusions and Relevance: These findings suggest that prescribing of psychotropic medications for children and adolescents in France significantly and persistently increased after the COVID-19 pandemic onset. Future research should identify underlying determinants to improve psychological trajectories in young people.


COVID-19 , Pandemics , Psychotropic Drugs , SARS-CoV-2 , Humans , Child , Adolescent , COVID-19/epidemiology , Psychotropic Drugs/therapeutic use , Male , Female , Cross-Sectional Studies , France/epidemiology , Drug Prescriptions/statistics & numerical data , Practice Patterns, Physicians'/statistics & numerical data , Practice Patterns, Physicians'/trends , Interrupted Time Series Analysis , Pneumonia, Viral/drug therapy , Pneumonia, Viral/epidemiology , Coronavirus Infections/drug therapy , Coronavirus Infections/epidemiology , Betacoronavirus , Anti-Anxiety Agents/therapeutic use , Mental Disorders/drug therapy , Mental Disorders/epidemiology
2.
J Crit Care ; 59: 23-31, 2020 10.
Article En | MEDLINE | ID: mdl-32485439

PURPOSE: End-stage kidney disease (ESKD) causes bleeding diathesis; however, whether these findings are extrapolable to acute kidney injury (AKI) remains uncertain. We assessed whether AKI is associated with an increased risk of bleeding. METHODS: Single-center retrospective cohort study, excluding readmissions, admissions <24 h, ESKD or kidney transplants. The primary outcome was the development of incident bleeding analyzed by multivariate time-dependent Cox models. RESULTS: In 1001 patients, bleeding occurred in 48% of AKI and 57% of non-AKI patients (p = .007). To identify predictors of incident bleeding, we excluded patients who bled before ICU (n = 488). In bleeding-free patients (n = 513), we observed a trend toward higher risks of bleeding in AKI (22% vs. 16%, p = .06), and a higher risk of bleeding in AKI-requiring dialysis (38% vs. 17%, p = .01). Cirrhosis, AKI-requiring dialysis, anticoagulation, and coronary artery disease were associated with bleeding (HR 3.67, 95%CI:1.33-10.25; HR 2.82, 95%CI:1.26-6.32; HR 2.34, 95%CI:1.45-3.80; and HR 1.84, 95%CI:1.06-3.20, respectively), while SOFA score and sepsis had a protective association (HR 0.92 95%CI:0.84-0.99 and HR 0.55, 95%CI:0.34-0.91, respectively). Incident bleeding was not associated with mortality. CONCLUSIONS: AKI-requiring dialysis was associated with incident bleeding, independent of anticoagulant administration. Studies are needed to better understand how AKI affects coagulation and clinical outcomes.


Acute Kidney Injury/therapy , Critical Care/methods , Hemorrhage/epidemiology , Hemorrhage/etiology , Renal Dialysis/adverse effects , Aged , Anticoagulants/adverse effects , Coronary Artery Disease/complications , Critical Illness , Female , Follow-Up Studies , Hemorrhage/mortality , Humans , Incidence , Length of Stay , Male , Middle Aged , Proportional Hazards Models , Retrospective Studies , Risk Factors , Sepsis/complications , Treatment Outcome
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