Literature DB >> 27845780

Methylphenidate and the risk of psychotic disorders and hallucinations in children and adolescents in a large health system.

K K C Man1,2, D Coghill3,4, E W Chan1, W C Y Lau1, C Hollis5,6, E Liddle5,6, T Banaschewski7, S McCarthy8, A Neubert9, K Sayal5,6, P Ip2, I C K Wong1,10.   

Abstract

Previous studies have suggested that risk of psychotic events may be increased in children exposed to methylphenidate (MPH). However, this risk has not been fully examined, and the possibility of confounding factors has not been excluded. Patients aged 6-19 years who received at least one MPH prescription were identified using Hong Kong population-based electronic medical records on the Clinical Data Analysis and Reporting System (2001-2014). Using the self-controlled case series design, relative incidence of psychotic events was calculated comparing periods when patients were exposed to MPH with non-exposed periods. Of 20,586 patients prescribed MPH, 103 had an incident psychotic event; 72 (69.9%) were male and 31 (30.1%) female. The mean age at commencement of observation was 6.95 years and the mean follow-up per participant was 10.16 years. On average, each participant was exposed to MPH for 2.17 years. The overall incidence of psychotic events during the MPH exposure period was 6.14 per 10,000 patient-years. No increased risk was found during MPH-exposed compared with non-exposed periods (incidence rate ratio (IRR) 1.02 (0.53-1.97)). However, an increased risk was found during the pre-exposure period (IRR 4.64 (2.17-9.92)). Results were consistent across all sensitivity analyses. This study does not support the hypothesis that MPH increases risk of incident psychotic events. It does indicate an increased risk of psychotic events before the first prescription of MPH, which may be because of an association between psychotic events and the behavioural and attentional symptoms that led to psychiatric assessment and initiation of MPH treatment.

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Year:  2016        PMID: 27845780      PMCID: PMC5314128          DOI: 10.1038/tp.2016.216

Source DB:  PubMed          Journal:  Transl Psychiatry        ISSN: 2158-3188            Impact factor:   6.222


Introduction

Attention deficit/hyperactivity disorder (ADHD) is a common neurodevelopmental disorder characterised by a persistent pattern of inattention, hyperactivity and impulsivity that is pervasive across different settings.[1] It is common among school-aged children and adolescents with a worldwide prevalence around 5%.[2] ADHD has a diverse range of adverse outcomes in health, intellectual and psychosocial well-being.[3] Children with ADHD frequently experience low academic attainment, rejection by peers and low self-esteem.[4] In addition, ADHD is frequently comorbid with other mental health problems such as conduct disorders and substance misuse.[5, 6, 7] Therefore, behavioural intervention and/or drug treatment is usually required to mitigate these symptoms and impairments. The guidelines from the National Institute for Health and Clinical Excellence (NICE) in the United Kingdom recommend the use of methylphenidate (MPH), dexamfetamine and atomoxetine when drug intervention is considered appropriate for the management of ADHD.[8] In the past two decades, ADHD treatment prescribing trends have risen rapidly in the United States (US),[9] Canada,[10] the UK,[11, 12] Germany[13] and Hong Kong (HK).[14] As suggested by a very recently published commentary and a meta-analysis, it is important to evaluate the risks (that is, adverse effects) as well as benefits of MPH treatment in clinical practice.[15, 16] MPH is the most commonly prescribed medication treatment for ADHD.[11, 14] It acts primarily as a dopaminenorepinephrine reuptake inhibitor by binding to and blocking dopamine transporters.[17] As increased levels of synaptic dopamine are implicated in the generation of psychotic symptoms,[18] the pharmacological mechanism of MPH also implies a potential to induce psychotic symptoms and disorders.[19] Data from the UK Medicines and Healthcare Products Agency's Yellow Card scheme[20] showed that out of 1335 adverse drug reaction (ADR) reports for MPH received by the end of July 2015, 663 were associated with psychiatric disorders, making these the most frequently reported class of ADR. Among these reports, 105 cases (15.8%) reported hallucinations, psychosis or psychotic disorders, or schizoaffective disorders. Mosholder et al.[21] reviewed and analysed data from the medication manufacturers on ADHD drugs from 49 randomised controlled clinical trials. They identified a total of 11 psychosis/mania adverse events during 743 person-years of follow-up in 5717 individuals (1.48 events per 100 person-years or one event in every 70 years of treatment) compared with none reported with placebo, giving a number needed to harm of 526. These reports raise the possibility that MPH treatment may be associated with an increased risk of psychosis or related events. In 2007, the European Commission requested a referral to the Committee for Medicinal Products for Human Use under Article 31 of Directive 2001/83/EC, as amended, for MPH because of safety concerns.[22, 23] One of the main potential safety areas that was evaluated concerned adverse psychiatric events including psychosis. In 2009, the Committee for Medicinal Products for Human Use concluded that the benefit-risk of MPH remains favourable in the authorised indication, but that further research on safety is needed.[23] In view of the dopamine agonist effect of MPH, the observed reports of an association between MPH and hallucinations, psychosis or psychotic disorders (collectively described here as 'psychotic events')[17] and increasing use of MPH worldwide, there is a clear need for a systematic investigation into the association between MPH and psychotic events. One recent study has investigated the relationship between ADHD and schizophrenia spectrum disorders.[24] Although the authors found an increased risk of psychotic disorder in MPH users, they recognised that several important pieces of potentially confounding clinical information were not available to the study team. These included the following: the severity of ADHD symptoms; family history of psychosis; and history of substance misuse. Thus, it is not possible to determine whether the finding of a positive association between MPH treatment and psychosis in this analysis was in fact a consequence of confounding by other important differences between MPH-treated patients and the control group that themselves increase the likelihood of receiving MPH treatment.[24] The aim of this study was to address these shortcomings by examining the association between MPH and the risk of psychotic events using the self-controlled case series (SCCS) method. With this method, cases act as their own controls and observations are made within cases over time. In this study, comparisons were made within a clinically referred sample of individuals with psychotic events who have been prescribed MPH in the setting of a territory-wide hospital database in HK. We hypothesised that MPH treatment will be associated with increased incidence of psychotic events following MPH exposure.

Materials and methods

The Clinical Data Analysis And Reporting System

This study was conducted using the Clinical Data Analysis and Reporting System (CDARS), an electronic health record database developed by the Hong Kong Hospital Authority (HA), a statutory body that manages all public hospitals and their ambulatory clinics in HK. The service is available to all HK residents (over 7 million) and covers ~80% of all hospital admissions in HK.[25] Data from CDARS have proved to be reliable for use in research and have been used for various pharmacoepidemiological studies.[25, 26, 27, 28, 29] These have included MPH investigation of prescribing trends in HK, and of the association between MPH treatment and risk of trauma.[14, 30] CDARS has also been used to investigate psychiatric and neurological ADRs.[31, 32] Patient-specific clinical data in CDARS include diagnosis, prescription, and information on admission and discharge, all of which are recorded by trained clinicians. Other patient-specific data such as demographics, payment method, prescription and pharmacy-dispensing information are entered by other trained staff.[33] CDARS contains the records of all in-patient, out-patient and emergency room admissions in HA clinics and hospitals since 1995. Records are anonymised to protect patient confidentiality. Unique patient reference numbers are generated to facilitate data retrieval. Detailed descriptions of CDARS can be found elsewhere.[14, 34] Previous validation studies have shown high positive predictive values for various medical diagnoses.[25, 28]

SCCS design

The SCCS[35] study design was specifically selected to investigate the association between MPH and psychosis. This method has been used previously to investigate the effects of MPH on emergency room admission in HK.[30] In SCCS, each patient serves as their own control and the modelling is conditional in that all cases will have experienced the outcome of interest at some stage during the study window.[36] This study design relies on within-person comparisons in a population of individuals who have experienced both the outcome and exposure of interest.[36] Incidence rate ratios (IRRs) are derived by comparing the rate of events during exposed periods (on medication) with the rate during all other observed time periods (off medication). A major advantage of this design is that the potential time-invariant confounding effect of fixed characteristics (both recorded and unrecorded) that vary between individuals and may underlie disease severity, such as genetic and socioeconomic factors, are removed. The underlying risks of psychotic events among MPH users and non-users are likely to be different because of factors relating to ADHD and its comorbidities, and are difficult to control for in most observational study designs. This can be a major issue in cohort or case–control studies as the comparison group may not be appropriately selected. The SCCS design, in which confounding between individuals is controlled implicitly, is able to address these factors that may not be controlled in classic epidemiological study designs. Furthermore, we are able to adjust for factors that vary with time, particularly age and seasonal effects, as both the MPH treatment prescribing and psychiatry visits have age and seasonal patterns.[37, 38]

Case identification

Individuals aged 6–19 years who received at least one prescription of MPH with at least one psychotic disorder and/or hallucination diagnostic code (psychotic events) during the study period (January 2001 to December 2014) were identified in CDARS. The psychotic event codes were identified through the diagnostic codes from the International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM). Patients with psychotic events before the start of follow-up were excluded. The included diagnosis codes are listed in Supplementary Table 1. Only MPH and atomoxetine are licensed for the treatment of ADHD in HK; therefore, the observation periods were censored by atomoxetine treatment to avoid a co-prescribing situation, which may affect comparisons. In HK, ~5% of treated ADHD patients received both MPH and atomoxetine.[14] Individual observation periods commenced on January 2001, or the sixth birthday of the patient (whichever was later), and ended on December 2014, the twentieth birthday of the patient, date of receiving atomoxetine treatment or the date of registered death (whichever was earlier). We commenced follow-up at 6 years of age because MPH is not recommended for younger children.[39] As the aim of this pharmacovigilance study is to investigate the association between MPH and incident psychotic events, a diagnosis of ADHD was not an inclusion criterion.

Exposures and outcomes

For each included participant, records of all MPH prescriptions and psychotic events were identified. All formulations of MPH (standard and extended release) and all strengths were included in the analysis. ‘Exposed periods' were defined as time on-medication and were estimated by the duration between prescription start and end date recorded in CDARS for each prescription. Over 99% of prescriptions have the intended start and end date of the treatment recorded in our data set. Daily dosages and quantity prescribed were used to determine the duration of treatment if prescription end date was not available. The median values for exposure duration were imputed when the above information was missing. Periods within the observation period other than exposure periods were classified as baseline periods. We did not assume that participants received continuous treatment upon initiation of MPH. This is because clinicians may offer drug holidays to ADHD patients during school holidays, and treatment may be stopped and started for various reasons. A pictorial presentation of the study design and timeline for a single hypothetical participant is given in Figure 1. Psychotic events were identified through ICD-9-CM codes (Supplementary Table 1) by CH and KS. The corresponding date of a psychotic event was identified by the event date and only the incident psychotic event for each patient was included in the analysis. We conducted a validation analysis by reviewing the information in CDARS. Through this we identified that in 98 out of 103 (95.1%) cases the diagnosis of a psychotic event was confirmed by a hospital paediatrician and/or psychiatrist. All included patients were under the care of specialist clinics managing childhood mental health conditions. Consequently, the risk of misdiagnosis is considered to be low.
Figure 1

Illustration of the self-controlled case series study design.

Statistical analysis

The primary analysis investigated the relationship between MPH treatment and the occurrence of incident psychotic events. This was calculated by comparing the rate of psychotic events during exposed periods to that during baseline periods. Adjusted IRR and the corresponding 95% confidence intervals (CIs) were calculated using conditional Poisson regression, adjusting for age, in 1-year bands, and season. As the psychotic event itself may potentially have an impact on the likelihood of receiving MPH treatment, which in turn may introduce bias into the risk estimate during treatment, a 90-day pre-exposure period was added to remove the short-term impact of this effect (Figure 1). For a psychotic event that occurred on day 1 of MPH treatment, we reviewed the temporal relationship of this event and treatment, that is, whether it was before or after initiation of MPH. If an event occurred before the MPH treatment was prescribed, it would be classified as pre-exposure period instead of day 1. A significance level of 5% was used in all statistical analyses. Microsoft Excel and Statistical Analysis System (SAS) v9.3 (SAS Institute, Cary, NC, USA) were used for data manipulation and analysis.

Code availability

Analysis codes are available upon request to the corresponding author.

Sample size calculation

Using the approach and equation suggested by Musonda et al.,[40] an IRR of 2 with 80% power (two-sided 95% CI) could be detected with a minimum of 76 psychosis cases.

Sensitivity analyses

Several sensitivity analyses were planned to test the validity and robustness of the initial study results: (1) Alternative analyses were conducted based on different drug non-adherence scenarios. Each exposed period was further extended by adding 1–10 weeks after the end of an exposed period to assess this effect. (2) To assess the sensitivity of age-banding used, an analysis with a 6-month age band rather than annual bands was conducted. (3) Additional analyses were conducted on a subset of patients with more than 10 weeks of MPH exposure in order to test the effects of more prolonged medication exposure. (4) Patients with a diagnosis of substance misuse/dependence (ICD-9-CM: 303-305) were removed from the analysis. (5) The individual observation period was censored by the date of prescription of any antidepressant or antipsychotic medications during the study period. (6) The outcome was restricted to ICD-9-CM psychotic disorders only meaning that those with hallucinations (ICD-9-CM: 780.1) were removed from the analysis. (7) Cases where the event occurred on the first day of prescription were removed. (8) Different washout periods (7–21 days) were implemented before the initiation of MPH treatment and these periods were excluded from the analysis. (9) The observation period was started at January 2001, the sixth birthday of the patient, the first observed date of ADHD diagnosis or the first date of MPH treatment, whichever occurred later. (10) Different lengths of pre-exposure period (30 and 60 days) were used.

Ethical approval

This study protocol was approved by the Institutional Review Board of the University of Hong Kong/Hospital Authority Hong Kong West Cluster (Reference Number: UW12-136).

Results

Among 20,586 patients with MPH prescriptions, 103 were included in the primary analysis (Figure 2), of which 72 (69.9%) were male and 31 (30.1%) were female. The mean age at commencement of observation was 6.95 years and the mean duration of follow-up per participant was 10.16 years. The mean exposure to MPH was 2.17 years per participant. The median length of each prescription was 70 days. In all, 76 out of 103 patients had a clinical ADHD diagnosis and the median age of diagnosis was 9.5 years (interquartile range 8.2–11.7). There were 103 incident psychotic events, of which 78 occurred during baseline periods and 25 occurred during the MPH treatment period (Table 1). Among the 103 cases, 80 were psychosis cases (ICD-9-CM: 298.0, 298.1, 298.3, 298.8, 298.9), 20 were hallucinations (ICD-9-CM: 780.1) and 3 were other psychotic disorders (other codes in Supplementary Table 1). The overall incidence of psychotic events during the MPH treatment period was 6.14 per 10,000 patient-years. No participants died during the study period. Broader psychiatric comorbidities for these patients are shown in Table 2.
Figure 2

Flowchart of patient identification. ADHD, attention deficit/hyperactivity disorder.

Table 1

Patient characteristics

 No. of patients%Mean age at baseline (years)s.d.Median daily dosage (mg)IQR b of daily dosage (mg)Mean age at events.d.Median length of prescription (days)Exposed period
Unexposed period
          No. of eventsTotal follow-up time (patient-years)No. of eventsTotal follow-up time (patient-years)
All1031006.951.78202013.53.67025223.078823.6
Male7269.96.971.78202013.73.77015162.757582.3
Female3130.16.901.81201513.13.4701060.321241.3

Abbreviation: IQR, interquartile range.

Table 2

Psychiatric comorbidities of patients with psychotic events

 ICD-9-CMNumber of patients%
Acute reaction to stress3082221.4
Adjustment disorder3091211.7
Anxiety disorder293.84, 3001110.7
Autism spectrum disorder2992221.4
Disturbance of conduct not elsewhere classified3122524.3
Specific delays in development3151615.5
Other psychiatric comorbiditiesa290–3197370.9

Abbreviation: ICD-9-CM, International Classification of Diseases, Ninth Revision, Clinical Modification.

Other psychiatric comorbidities included all other disorders from ICD-9-CM code 290–319 that were not psychosis or listed above.

The primary analysis indicated no statistically significant association between MPH treatment and occurrence of incident psychotic events (Table 3). After adjusting for age and season, the IRR was 0.98 (95% CI 0.52–1.86). After including a 90-day pre-exposure period, a similar result was found with an IRR during treatment of 1.02 (95% CI 0.53–1.97). Compared with the baseline, an IRR of 4.64 (95% CI 2.17–9.92) was found in the 90-day pre-MPH treatment period (Table 3). Direct comparison between the risk of psychotic events during the MPH treatment period and the pre-exposure period showed that the corresponding risk during MPH treatment period is lower than during the pre-exposure period (IRR=0.13; 95% CI 0.04–0.50; P-value 0.003). The additional sensitivity analyses all gave similar results (Table 3 and Supplementary Figure 1).
Table 3

Results from the self-controlled case series analyses

 IRR95% CIP-value
Incident psychotic episode (n=103)   
 Period with MPH treatment0.980.52–1.860.95
    
Pre-risk period included   
 90 Days before first MPH treatment4.642.17–9.92<0.01
 Period with MPH treatment1.020.53–1.970.95
    
Sensitivity analyses   
 6-Month age band (n=103)   
  90 Days before first MPH treatment3.911.85–8.28<0.01
  Period with MPH treatment0.840.46–1.550.58
 Patients with >10 weeks' MPH exposure (n=82)   
  90 Days before first MPH treatment4.381.77–10.87<0.01
  Period with MPH treatment1.070.55–2.080.85
 Censor by antidepressants/antipsychotics (n=102)   
  90 Days before first MPH treatment6.672.84–15.66<0.01
  Period with MPH treatment0.920.40–2.130.84
 Remove patients with substance dependence (n=87)   
  90 Days before first MPH treatment5.012.32–10.81<0.01
  Period with MPH treatment0.890.44–1.780.74
 Remove hallucination cases (n=83)   
  90 Days before first MPH treatment3.371.22–9.320.02
  Period with MPH treatment1.110.53–2.310.79
 Remove cases with event on the first day of treatment (n=102)   
  90 Days before first MPH treatment4.041.82–8.95<0.01
  Period with MPH treatment0.990.51–1.920.66
 Washout period: 7 days before the first treatment (n=90)   
  90 Days before first MPH treatment3.901.69–9.01<0.01
  Period with MPH treatment1.010.53–1.940.97
 Washout period: 14 days before the first treatment (n=90)   
  90 Days before first MPH treatment4.261.84–9.86<0.01
  Period with MPH treatment1.010.53–1.940.98
 Washout period: 21 days before the first treatment (n=89)   
  90 Days before first MPH treatment3.961.62–9.69<0.01
  Period with MPH treatment1.010.53–1.950.97
    
 Start of observation at 1 January 2001, the sixth birthday of the patient, the first observed date of ADHD diagnosis or the first date of MPH treatment, whichever occurred last (n=79)   
  90 Days before first MPH treatment3.591.13–11.4<0.01
  Period with MPH treatment1.260.61–2.590.53
60-Day pre-exposure period   
  60 Days before first MPH treatment5.992.71–13.22<0.01
  Period with MPH treatment1.010.53–1.950.97
 30-Day pre-exposure period   
  30 Days before first MPH treatment5.211.83–14.81<0.01
  Period with MPH treatment0.940.49–1.810.86

Abbreviations: 95% CI, 95% lower confidence interval of IRR; ADHD, attention deficit/hyperactivity disorder; IRR, adjusted incidence rate ratio; MPH, methylphenidate.

Discussion

These data do not support the presence of an association between the use of MPH and the development of incident psychotic events (IRR=1.02 (95% CI 0.53–1.97)). However, a positive IRR was observed in the pre-MPH treatment periods (IRR=4.64, 95% CI 2.17–9.92), which was markedly elevated relative to the risk of incident psychotic events during MPH treatment. Possible reasons for an increased risk of incident psychotic events before starting MPH treatment include the co-occurrence of transient psychotic events with ADHD, or with clinical contact and observation in the period leading up to initiation of MPH. It is well recognised that patients with ADHD are prone to cognitive, emotional and behavioural comorbidities.[7] These comorbidities may increase the likelihood of psychiatric consultation, which may consequently increase both the chance of incident psychotic events being identified and being prescribed MPH. This increased diagnosis of incident psychotic events in the period before the first ever MPH treatment may also explain the ADR reports of psychiatric adverse events for MPH, as cited in the literature.[41, 42, 43, 44, 45] If, as our evidence suggests, the diagnosis of incident psychotic events is higher before the MPH treatment, this may increase the likelihood of subsequent diagnosis of recurrent psychotic events, and thus reports of psychotic events associated with MPH treatment in clinical practice. Several case reports of MPH-induced psychosis-like symptoms in children have been published.[41, 42, 44, 45] However, most of these patients also had other psychiatric conditions such as emotional and behavioural disorders. Therefore, it is important to note that these reported psychotic events may not be induced by ADHD medication but could simply reflect the deterioration of a coexisting psychiatric disorder. In addition, the important finding reported here of an increased risk of psychotic events' pretreatment may not be observed in a classic cohort study, where patients with either events or exposures before the commencement of study are usually excluded. Mosholder et al.[21] reviewed data on hallucinations and other psychotic symptoms associated with the use of ADHD drugs (included MPH, modafinil, dextromethylphenidate, amphetamine and atomoxetine) from 49 randomised controlled clinical trials. Although the aggregated adverse-event data found that a rate of psychosis/mania event was 1.48 per 100 person-years in ADHD treatment group, only four events were reported in trials for MPH products; all were from transdermal patch treatment only and none for oral MPH products. In HK, only oral MPH products are available. A recent study in Canada recruited a group of parents with severe mental illness and used questionnaires to investigate the relationship between stimulant medication use and psychotic symptoms.[43] The authors identified 24 patients who had been exposed to stimulants in lifetime. Among them, 15 had lifetime occurrence of psychotic and related symptoms with adjusted odds ratio of 4.41 when comparing with individuals who had never used stimulants. This study included a group of high-risk individuals with psychiatric family history which, as stated by the authors, were unable to test whether family history moderates the risk of psychotic symptoms.[43] In addition, the temporal relationship of psychotic symptoms identified and reported use of stimulants were not known in this study. Thus, the findings only showed an association but do not prove causality. We found an IRR of 4.64 before the initiation of MPH treatment that was comparable to the odds ratio in this Canadian study. Therefore, our study results raised the possibility of reverse causality between MPH use and psychotic disorders. Another recent cohort study in Taiwan[24] investigated the association between MPH and schizophrenia spectrum disorders, and concluded that there was an increased risk of psychotic disorder in ADHD patients taking MPH compared with non-users (adjusted hazard ratio=1.20). However, our data find a lower and not statistically different estimate (IRR=1.02). The discrepancy between the results may be explained by differences in study design. We applied the SCCS design, which controls for the effects of unmeasured confounders more robustly, as the within-person study design controls implicitly for confounders that do not vary over time.[36] In the Taiwanese study, as acknowledged by the authors, several potential confounders remained unmeasured. These included the baseline severity of ADHD symptoms, and family history of psychosis, both of which may affect the results of a cohort study. These potential confounders, even though they were not captured in our database, should not have an impact on the findings reported here using the SCCS design. This may explain why our study resulted in an estimate closer to 1. Although the SCCS design was able to control confounders that do not vary over time, it may not be able to control for changes in ADHD severity. ADHD severity may change over time, which is likely to be associated with MPH treatment and is potentially a risk factor for psychotic symptoms. This bias would likely result in an overestimation of the true risk of association, as patients with more severe ADHD are more likely to be treated as well as being at higher risk for psychotic events. Therefore, even if this was the case, it is unlikely to change the direction of our conclusions. There are a number of limitations in our study. First, CDARS does not have linkage to data from private medical practitioners. Therefore, we were not able to include prescriptions from the private sector, which may potentially lead to exposure misclassification. However, in HK, the public sector is the main provider of specialist care[46] and there are very few private child and adolescent psychiatrists.[14, 47] As a consequence, patients who require long-term care, such as those with neurodevelopmental disorders and ADHD, are generally treated in the public health-care sector,[14] and the vast majority should have been included in this study. In addition, our cohort only included clinically referred patients who had sufficiently severe ADHD symptoms and/or impairment to be prescribed MPH treatment. Therefore, our cohort may have a higher baseline risk than non-medicated patients. However, as the aim of the study was to evaluate the effect of MPH on the risk of a psychotic event, our cohort included all patients with MPH treatment within the public health-care system. Hence, our cohort is highly representative. Furthermore, as we applied a SCCS design, individual baseline risk will not affect our study results and conclusion. Second, similar to other pharmacoepidemiological studies using automated databases, CDARS provides the data on drug prescription, but not on adherence (compliance) to medication, and this may lead to misclassification of exposure periods. However, these potential limitations due to non-compliance with medication were addressed to some extent in the sensitivity analysis, and the results remained similar. Third, despite having identified that in 95.1% cases, the diagnoses of a psychotic event was confirmed by a hospital paediatrician and/or a psychiatrist, we cannot rule out the possibility of under-diagnosis in which the sensitivity of diagnosis may depend on treatment status. For example, physician visits may be more frequent during periods with MPH treatment, and therefore diagnosis of psychotic events/hallucinations more likely to come to clinical attention and diagnosis. This differential under-diagnosis may potentially lead to an overestimation in the IRR during treatment. However, this again would be unlikely to affect the study conclusions. Fourth, the upper limit of CI for the reported IRR during MPH treatment is just below 2; we cannot exclude the possibility of the risk of incident psychotic events doubling during treatment as we do not have sufficient statistical power to detect an IRR below 2. However, even if there is an increased risk, the absolute increased risk would be small, as the absolute risk of incident psychotic events was 1 per 1629 patient-years. More importantly, the IRR is statistically significantly lower during MPH treatment than for the pre-treatment period; therefore, there is no evidence to support an increased risk associated with the MPH treatment. Fifth, we cannot evaluate the deterioration, persistence or recurrence of the psychotic disorders after the incident diagnosis date. In particular, for patients with schizophrenia, we are unable to determine the risk of deterioration, owing to insufficient sample size. Further study should be conducted to evaluate the risk of deterioration, persistence or recurrence of psychotic symptoms in patients with a previous history of psychotic events before the initiation of the MPH treatment. Sixth, as we had a comparatively long follow-up time, other time-varying confounding factors may affect our study results. We hypothesised that the use of other psychiatric medications may affect the association between MPH and psychotic events. Therefore, we conducted a sensitivity analysis by censoring patient-time after the first antidepressant or antipsychotic prescription, and the results were consistent with our initial findings. Lastly, although there is no evidence to suggest that Chinese patients respond differently to MPH than other populations, we cannot fully exclude this as a possibility.

Conclusions

This study does not support the hypothesis that MPH increases risk of incident psychotic events. It does, however, indicate an increased risk of such events before the first prescription of MPH, which may be due to the association between psychotic events and the behavioural and attention symptoms that led to psychiatric consultations and initiation of treatment with MPH.
  38 in total

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Review 10.  Medication safety research by observational study design.

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2.  Effectiveness of Pharmacological Treatment for Attention-Deficit/Hyperactivity Disorder on Physical Injuries: A Systematic Review and Meta-Analysis of Observational Studies.

Authors:  Kenneth K C Man; Patrick Ip; Esther W Chan; Siew-Ling Law; Miriam T Y Leung; Evelyn X Y Ma; Wan-Ting Quek; Ian C K Wong
Journal:  CNS Drugs       Date:  2017-12       Impact factor: 5.749

3.  Association of Risk of Suicide Attempts With Methylphenidate Treatment.

Authors:  Kenneth K C Man; David Coghill; Esther W Chan; Wallis C Y Lau; Chris Hollis; Elizabeth Liddle; Tobias Banaschewski; Suzanne McCarthy; Antje Neubert; Kapil Sayal; Patrick Ip; Martijn J Schuemie; Miriam C J M Sturkenboom; Edmund Sonuga-Barke; Jan Buitelaar; Sara Carucci; Alessandro Zuddas; Hanna Kovshoff; Peter Garas; Peter Nagy; Sarah K Inglis; Kerstin Konrad; Alexander Häge; Eric Rosenthal; Ian C K Wong
Journal:  JAMA Psychiatry       Date:  2017-10-01       Impact factor: 21.596

Review 4.  The Benefits and Limitations of Stimulants in Treating ADHD.

Authors:  David Coghill
Journal:  Curr Top Behav Neurosci       Date:  2022

Review 5.  ADHD in children and youth: Part 2-Treatment.

Authors:  Mark E Feldman; Alice Charach; Stacey A Bélanger
Journal:  Paediatr Child Health       Date:  2018-10-24       Impact factor: 2.253

6.  Mortality, Revascularization, and Cardioprotective Pharmacotherapy After Acute Coronary Syndrome in Patients With Psychotic Disorders: A Population-Based Cohort Study.

Authors:  Wing Chung Chang; Joe Kwun Nam Chan; Corine Sau Man Wong; JoJo Siu Han Hai; Philip Chi Fai Or; Eric Yu Hai Chen
Journal:  Schizophr Bull       Date:  2020-07-08       Impact factor: 9.306

7.  Stimulant treatment effectiveness, safety and risk for psychosis in individuals with 22q11.2 deletion syndrome.

Authors:  Dana Basel; Mariela Mosheva; Johanna Maeder; Maude Schneider; Shachar Shani; Ronnie Weinberger; Stephan Eliez; Doron Gothelf
Journal:  Eur Child Adolesc Psychiatry       Date:  2021-04-19       Impact factor: 5.349

Review 8.  The World Federation of ADHD International Consensus Statement: 208 Evidence-based conclusions about the disorder.

Authors:  Stephen V Faraone; Tobias Banaschewski; David Coghill; Yi Zheng; Joseph Biederman; Mark A Bellgrove; Jeffrey H Newcorn; Martin Gignac; Nouf M Al Saud; Iris Manor; Luis Augusto Rohde; Li Yang; Samuele Cortese; Doron Almagor; Mark A Stein; Turki H Albatti; Haya F Aljoudi; Mohammed M J Alqahtani; Philip Asherson; Lukoye Atwoli; Sven Bölte; Jan K Buitelaar; Cleo L Crunelle; David Daley; Søren Dalsgaard; Manfred Döpfner; Stacey Espinet; Michael Fitzgerald; Barbara Franke; Manfred Gerlach; Jan Haavik; Catharina A Hartman; Cynthia M Hartung; Stephen P Hinshaw; Pieter J Hoekstra; Chris Hollis; Scott H Kollins; J J Sandra Kooij; Jonna Kuntsi; Henrik Larsson; Tingyu Li; Jing Liu; Eugene Merzon; Gregory Mattingly; Paulo Mattos; Suzanne McCarthy; Amori Yee Mikami; Brooke S G Molina; Joel T Nigg; Diane Purper-Ouakil; Olayinka O Omigbodun; Guilherme V Polanczyk; Yehuda Pollak; Alison S Poulton; Ravi Philip Rajkumar; Andrew Reding; Andreas Reif; Katya Rubia; Julia Rucklidge; Marcel Romanos; J Antoni Ramos-Quiroga; Arnt Schellekens; Anouk Scheres; Renata Schoeman; Julie B Schweitzer; Henal Shah; Mary V Solanto; Edmund Sonuga-Barke; César Soutullo; Hans-Christoph Steinhausen; James M Swanson; Anita Thapar; Gail Tripp; Geurt van de Glind; Wim van den Brink; Saskia Van der Oord; Andre Venter; Benedetto Vitiello; Susanne Walitza; Yufeng Wang
Journal:  Neurosci Biobehav Rev       Date:  2021-02-04       Impact factor: 9.052

9.  Methylphenidate and the risk of psychosis in adolescents and young adults: a population-based cohort study.

Authors:  Chris Hollis; Qi Chen; Zheng Chang; Patrick D Quinn; Alexander Viktorin; Paul Lichtenstein; Brian D'Onofrio; Mikael Landén; Henrik Larsson
Journal:  Lancet Psychiatry       Date:  2019-06-17       Impact factor: 77.056

10.  Comorbidity of Narcolepsy and Psychotic Disorders: A Nationwide Population-Based Study in Taiwan.

Authors:  Jia-Yin Yeh; Yu-Chiau Shyu; Sheng-Yu Lee; Shin-Sheng Yuan; Chun-Ju Yang; Kang-Chung Yang; Tung-Liang Lee; Chi-Chin Sun; Liang-Jen Wang
Journal:  Front Psychiatry       Date:  2020-03-25       Impact factor: 4.157

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