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. 2022 Apr 12;12(4):e055454.
doi: 10.1136/bmjopen-2021-055454.

Assessing cardiometabolic parameter monitoring in inpatients taking a second-generation antipsychotic: The CAMI-SGA study - a cross-sectional study

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Assessing cardiometabolic parameter monitoring in inpatients taking a second-generation antipsychotic: The CAMI-SGA study - a cross-sectional study

Jennifer Fontaine et al. BMJ Open. .

Abstract

Objectives: This study aims to determine the proportion of initial cardiometabolic assessment and its predicting factors in adults with schizophrenia, bipolar disorder or other related diagnoses for whom a second-generation antipsychotic was prescribed in the hospital setting.

Design: Cross-sectional study.

Setting: The psychiatry unit of a Canadian tertiary care teaching hospital in Montreal, Canada.

Participants: 402 patients with aforementioned disorders who initiated, restarted or switched to one of the following antipsychotics: clozapine, olanzapine, risperidone, paliperidone or quetiapine, between 2013 and 2016.

Primary outcome measures: We assessed the proportion of cardiometabolic parameters monitored.

Secondary outcome measures: We identified predictors that influence the monitoring of cardiometabolic parameters and we assessed the proportion of adequate interventions following the screening of uncontrolled blood pressure and fasting glucose or glycated haemoglobin (HbA1c) results.

Results: Only 37.3% of patients received monitoring for at least three cardiometabolic parameters. Blood pressure was assessed in 99.8% of patients; lipid profile in 24.4%; fasting glucose or HbA1c in 33.3% and weight or body mass index in 97.8% of patients while waist circumference was assessed in 4.5% of patients. For patients with abnormal blood pressure and glycaemic values, 42.3% and 41.2% subsequent interventions were done, respectively. The study highlighted the psychiatric diagnosis (substance induced disorder OR 0.06 95% CI 0.00 to 0.44), the presence of a court-ordered treatment (OR 0.79 95% CI 0.35 to 1.79) and the treating psychiatrist (up to OR 34.0 95% CI 16.2 to 140.7) as predictors of cardiometabolic monitoring.

Conclusions: This study reports suboptimal baseline cardiometabolic monitoring of patients taking an antipsychotic in a Canadian hospital. Optimising collaboration within a multidisciplinary team may increase cardiometabolic monitoring.

Keywords: antipsychotic agents; bipolar disorder; cardiometabolic side effects; drug-related side effects and adverse reactions; guideline adherence; schizophrenia.

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Conflict of interest statement

Competing interests: ML has received speaker fees from Bayer; has participated in industry-funded trials from Idorsia and Phase3Bio; has served on advisory boards for Servier and Orimed Pharma; and has received in-kind and financial support for investigator-initiated grants from Leo Pharma, Roche Diagnostics, Aggredyne and Fujimori Kogyo, for unrelated work. VD-B has received fees for consulting by HLS therapeutics and Otsuka for unrelated work, and speaker fees by HLS therapeutics, Ostuka and Jansen for unrelated work. SR has received an investigator-initiated research grant from Satellite Healthcare The remaining authors declare that there is no conflict of interest.

Figures

Figure 1
Figure 1
Proportion of cardiometabolic parameter monitoring. n=402. Appropriate monitoring=3/5 parameters monitored. The dark grey bar represents expected monitoring proportion compared with the proportion observed in light grey. BMI, body mass index; HbA1c, glycated haemoglobin.

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