Frequency of neutropenia over time in patients on clozapine
Govind, R.; Jewell, A.; Gee, S.; Oloyede, E.; Taylor, D.; MacCabe, J. H.
Show abstract
BackgroundClozapine, the only evidence-based drug for treatment-resistant schizophrenia is associated with agranulocytosis. For this reason, all clozapine patients are required to undergo mandatory regular blood monitoring throughout their clozapine treatment. The blood test results are reported using a traffic light system. The clozapine treatment is stopped immediately after a confirmed red result, which is the indication for risk of agranulocytosis. The need for blood tests places a burden on patients and acts as a barrier to clozapine treatment. There is growing evidence that the risk of agranulocytosis falls steeply after the first few months of treatment, raising the possibility that clozapine monitoring could be discontinued after a certain period of treatment. AimTo investigate the frequency density of the confirmed red results from clozapine monitoring across clozapine treatment. MethodBy merging electronic health records (EHR) data with clozapine blood monitoring data, we identified the clozapine treatment dates. The EHR data was from South London and Maudsley NHS Foundation Trust (SLAM). The clozapine blood monitoring data was from Zaponex Treatment Access System (ZTAS). ZTAS is one of the mandatory blood monitoring service providers in the United Kingdom. From these data, Kaplan-Meier survival curve was fitted to determine the time to get confirmed red results. At fixed points in the treatment, the future risk of obtaining a red result were calculated. ResultsBy merging over 301,000 data points that came from the blood monitoring results and EHR data of 1,362 patients, we identified 1,891 clozapine treatment periods. Of these, 75 treatments were stopped due to confirmed red results. The Kaplan-Meier survival curve and the incidence rates data showed that 56 (74.7%) confirmed red results occur within the first 6 months of clozapine treatment. ConclusionWe found a contrast between the relatively high density of the confirmed red results at the beginning of clozapine treatment which significantly reduces after 6 months of treatment which remained low thereafter.
Matching journals
The top 7 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Pharmacotherapy, drug-drug interactions and potentially inappropriate medication in depressive disorders 94%
- A large Australian longitudinal cohort registry demonstrates sustained safety and efficacy of oral medicinal cannabis for at least two years 93%
- A Descriptive Analysis of Calls to the NSW Teratogen Information Service regarding use of anti-infectives during pregnancy 92%
Similar papers in this journal
- Factors predicting serum clozapine levels in Middle Eastern patients: an observational study 95%
- Inequalities in children’s mental health care: analysis of routinely collected data on prescribing and referrals to secondary care 92%
- Treatment Resistant Depression in electronic health records: Definitions Matter 90%
Similar papers in this journal
- Understanding Psychiatric Illness Through Natural Language Processing (UNDERPIN): Rationale, Design, and Methodology 91%
- Patients with affective disorders profit most from telemedical treatment: Evidence from a naturalistic patient cohort during the COVID-19 pandemic 90%
- Psychedelic mushrooms in the USA: Knowledge, patterns of use and association with health outcomes 90%
Similar papers in this journal
- An overview of global monitoring systems for the side effects and adverse events associated with medicinal cannabis use: A scoping review using a systematic approach 93%
- UK medical students’ self-reported knowledge and harm assessment of psychedelics and their application in clinical research: a cross-sectional study 93%
- Global prevalence of antidepressant utilization in the community: A protocol for a systematic review 92%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.