Evidence map›Paper›PMID 39014414›Full record

ArticleBMC psychiatry2024

Effect of long-term use of antipsychotics on the ventricular repolarization index.

Qiong Liu, Xiaoping Yuan, Chengdong Sheng, Weixun Cai, Xuhong Geng, Huanzhong Liu, Suqi Song

Abstract read
In one paragraph

Article in BMC psychiatry, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Qiong LiuDepartment of ECG Room, Chaohu Hospital of Anhui Medical University, 64 North Chaohu Road, Hefei, 238000, China.
Xiaoping YuanDepartment of Psychiatry, Chaohu Hospital of Anhui Medical University, 64 North Chaohu Road, Hefei, 238000, China.
Chengdong ShengDepartment of Psychiatry, Chaohu Hospital of Anhui Medical University, 64 North Chaohu Road, Hefei, 238000, China.
Weixun CaiHeart Center, Department of Electrocardiographic & Cardiac Examination, Zhejiang Provincial People's Hospital(Affiliated People's Hospital), Hangzhou Medical College, Hangzhou, 310000, Zhejiang, China.
Xuhong GengDepartment of Function, Fourth Hospital of Hebei Medical University, Shijiazhuang, 050011, China.
Huanzhong LiuDepartment of Psychiatry, Chaohu Hospital of Anhui Medical University, 64 North Chaohu Road, Hefei, 238000, China. huanzhongliu@ahmu.edu.cn.
Suqi SongDepartment of Psychiatry, Chaohu Hospital of Anhui Medical University, 64 North Chaohu Road, Hefei, 238000, China. Songsuqi202311@163.com.

Funding

Clinical Science Foundation project of Anhui Medical University 2023xkj187The Scientific Research Project of the Anhui Provincial Health Committee AHWJ2022b047
6 · The paper itself

Abstract

backgroundThe risk of arrhythmia is usually assessed by the length of the corrected QT interval (QTc) when patients use antipsychotics. Prolonged QTc intervals are thought to increase the probability of malignant ventricular arrhythmias, and if we focus only on the QTc interval, we may be influenced by a single factor and make decisions that are not conducive to effective treatment. The index of cardiac electrophysiological balance (iCEB) is considered more valuable than the QTc for predicting drug-induced arrhythmias. It has been used in clinical practice, but no studies have observed changes in this index after the use of antipsychotics.

objectiveTo investigate the changes in ventricular repolarization indices and the occurrence of arrhythmias in patients who have been using antipsychotic drugs for a long time, to compare the changes in iCEBc and QTc and to predict abnormal iCEBc values.

methodsPatients with schizophrenia who had been hospitalized for more than 4 years and who were receiving atypical antipsychotics underwent a 12-lead synchronized electrocardiogram (ECG) every 2-4 weeks. The baseline data were measured at admission, defined as the baseline (time0), and the most obvious abnormal changes in ventricular depolarization and repolarization measured every 12 months were one-year follow-up (time1), two-year follow-up (time2), three-year follow-up (time3), and four-year follow-up (time4). Repeated measures analysis of variance was used for comparisons. The types and doses of drugs taken at 5 time points were recorded and converted into chlorpromazine equivalents for comparison. The incidence of arrhythmia during the observation cycle was recorded.

resultsThe patients had been treated with antipsychotic medication for 4 years, and the duration of the QRS wave was longer in males than in females. TpTe, TpTe/QRS, TpTe/QT, TpTe/QTc, iCEB, and iCEBc increased significantly with hospital stay, while TpTe, TpTe/QRS, TpTe/QT, and TpTe/QTc exhibited more obvious changes in these indicators in female patients (P < 0.01). The changes in iCEB and iCEBc were more significant in males (P < 0.01). The incidences of arrhythmia (arrhythmic events included premature ventricular beats and premature atrial beats) within 5 time points were 2.5%, 6.25%, 6.25%, 6.25% and 5%, respectively. More than 90% of patients treated with antipsychotics did not have any arrhythmias. No TdP syncope or other cardiovascular symptoms were found in any of the patients.

conclusionAfter long-term use of antipsychotics, the ventricular repolarization index gradually increased with time. The new ventricular repolarization indices iCEB and iCEBc were more sensitive than the QTc at predicting arrhythmia. According to the abnormal QTc values in men and women, we predict that the abnormal value of the iCEBc in males is 4.528 and that in females is 5.315.

Indexed as

Antipsychotic AgentsArrhythmias, CardiacElectrocardiographySchizophreniaAdultFemaleFollow-Up StudiesHeart VentriclesHumansMaleMiddle AgedAntipsychotic AgentsAntipsychoticsArrhythmiaSudden cardiac deathVentricular repolarization index

Identifiers

PMID39014414
PMCPMC11250928

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.