Antidepressant or Antipsychotic Overdose in the Intensive Care Unit - Identification of Patients at Risk

Predictors for prolonged qt intervals in acute antipsychotic poisoned patients

Background

Acute antipsychotic poisoning is correlated to a high prevalence of qt interval prolongation.

Aim

This study aimed to evaluate early qt interval prolongation predictors in acute antipsychotic-poisoned patients.

Methodology

This prospective cohort study enrolled 70 symptomatic patients with acute antipsychotic poisoning. Sociodemographic data, toxicological, clinical, investigation, and outcomes were collected and analyzed. The estimation of the corrected qt interval (QTc) was performed using Bazett's method. Primary outcome was normal or abnormal length of QTc interval. Secondary outcomes included duration of hospital stay, complete recovery and mortality. The corrected qt interval was analyzed by univariate and multivariate logistic regression analysis.

Results

Patients were divided into groups A (normal QTc interval up to 440 msec; 58.6% of cases) and B (prolonged QTc interval ≥ 440 msec; 41.4% of cases). Patients in group B had significantly high incidences of quetiapine intake, bradycardia, hypotension, hypokalemia, and long duration of hospital stay. By multivariate analysis, quetiapine [Odd's ratio (OR): 39.674; Confidence Interval (C.I:3.426-459.476)], bradycardia [OR: 22.664; C.I (2.534-202.690)], and hypotension [OR: 16.263; (C.I: 2.168-122.009)] were significantly correlated with prolonged QTc interval.

Conclusion

In acute antipsychotic poisoning, quetiapine, bradycardia, and hypotension are early clinical predictors for prolonged QTc interval.

A nomogram proposal for early prediction of intensive care unit admission in patients with acute antipsychotic poisoning

Background

Early identification of antipsychotic poisoned patients who may have a potential risk for intensive care unit (ICU) admission is crucial especially when resources are limited. Nomograms were previously used as a practical tool to predict prognosis and planning the treatment of some diseases including some poisoning conditions. However, they were not previously investigated in antipsychotic poisoning.

Aim

The current study aimed to construct a nomogram to predict the need for ICU admission in acute antipsychotic poisoning. Patients and methods: This 2-year study included 140 patients acutely intoxicated with antipsychotics and admitted at Tanta University Poison Control Centre throughout July 2019 to June 2021. Personal and toxicological data, findings of clinical examination and electrocardiography, as well as, results of laboratory investigations at time of admission were recorded. According to the outcome, patients were divided into ICU-admitted and ICU-not admitted groups.

Results

The results of this study provided a proposed nomogram that included five significant independent predictors for ICU admission in acute antipsychotic intoxications; the presence of seizures (OR: 31132.26[108.97-Inf]), corrected QT interval (OR: 1.04[1.01-1.09]), mean arterial blood pressure (OR: 0.83[0.70-0.92]), oxygen saturation (OR: 0.62[0.40 to 0.83)], and Glasgow Coma Scale (OR: 0.25 [0.06-0.56]).

Conclusion

It could be concluded that the developed nomogram is a promising tool for easy and rapid decision making to predict the need for ICU admission in acute antipsychotic poisoning.

Metabolic Acidosis in Multi Drug Poisoning with Antidepressants and Antipsychotics

Objective:

In this study, we evaluated the predictive factors for the occurrence of metabolic acidosis in patients with multi-drug poisoning, including antidepressants (Ad)/antipsychotics (Ap).

Methods:

This cross-sectional study was carried out in the referral poisoning center, Khorshid University Hospital, affiliated with Isfahan University of Medical Sciences. All patients with multi-drug ingestion, including Ad/Ap, were included in the study. Patients were divided into two groups with and without metabolic acidosis. Demographic factors, time from ingestion to admission, clinical manifestations, length of hospital stay, and outcome were compared in two groups. Binary logistic regression was used to identify factors associated with the risk of metabolic acidosis occurrence.

Findings:

Among the 206 evaluated patients, 45 patients (21.8%) had metabolic acidosis whom the majority were female (73.3%) with intentional purposes (77.8%). 31.1% of the patients with metabolic acidosis had tachycardia on admission (P = 0.03). Among all variables, time from ingestion to admission (P = 0.02) and lengths of hospital stay (P = 0.002) were significantly different between patients with and without metabolic acidosis. Tachycardia on admission (adjusted odds ratio [OR], 2.24; 95% confidence interval [CI]: 1.05–4.76; P = 0.036) and time from ingestion to admission (adjusted OR, 1.06; 95% CI: 1.00–1.13; P = 0.04) were also the predictive factors in occurrence of metabolic acidosis. Most of the patients survived without any complications (94.6%), of whom 72.3% had no previous underlying somatic diseases (P = 0.05).

Conclusion:

Admission tachycardia and the time elapsed from ingestion to admission may be considered important factors for predicting metabolic acidosis in multi-drug poisoning, including Ad/Ap.

Determination of Antidepressants and Antipsychotics in Dried Blood Spots (DBSs) Collected from Post-Mortem Samples and Evaluation of the Stability over a Three-Month Period

An LC-MS/MS method for the identification and quantification of antidepressants and antipsychotics was developed on dried blood spots (DBSs). Moreover, analyte stability on DBSs within a 3-month period was monitored. Aliquots of 85 µL of blood from autopsy cases were pipetted onto DBS cards, which were dried and stored at room temperature. DBSs were analyzed in triplicate immediately, within the following 3 weeks, and after 3 months. For each analysis, a whole blood stain was extracted in phosphate buffer and purified using Solid Phase Extraction (SPE) cartridges in order to avoid matrix effects and injected in the LC-MS/MS system. Thirty-nine molecules were screened. Limits of detection (LODs) ranged between 0.1 and 3.2 ng/mL (g) and 0.1 and 5.2 ng/mL (g) for antidepressants and antipsychotics, respectively. Limits of quantification (LOQs) varied from 5 to 10.0 ng/mL for both. Sixteen cases among the 60 analyzed resulted positive for 17 different analytes; for 14 of these the method was fully validated. A general good agreement between the concentrations on DBSs and those measured in conventional blood samples (collected concurrently and stored at -20 °C) was observed. The degradation/enhancement percentage for most of the substances was lower than 20% within the 3-month period. Our results, obtained from real post-mortem cases, suggest that DBSs can be used for routine sample storage.

Restarting antidepressant and antipsychotic medication after intentional overdoses: need for evidence-based guidance

Intentional drug overdoses with antidepressant and antipsychotic medications are an increasingly common problem. Currently, there is little guidance with regard to reintroduction of these medications after intentional overdoses. We have used published toxicological and pharmacokinetic data to obtain factors which control the recovery from overdoses. From such data, we have proposed guidance regarding their reintroduction, provided there are no adverse effects or contraindications. Tentatively, we suggest that when adverse effects from the overdose are lost, treatment could recommence after a further mean half-life of elimination. Most antidepressant and antipsychotic drugs are metabolized by cytochrome P450 enzymes and, where cytochrome P450 inhibitors are co-ingested, serial plasma concentrations should optimally be obtained in order to assess a suitable time for reintroduction of the psychoactive drugs. We hope the proposals presented will stimulate research and discussion that lead to better guidance for clinicians concerning reintroduction of psychoactive medication after intentional overdose.

What are the Predictive Factors for the Treatment Outcomes in Multi Drug Poisoning Including Antidepressants/Antipsychotic Drugs?

Background

There have been studies on the outcome of acute intoxication with antidepressants or antipsychotics. We performed outcome prediction analysis in acute poisoning patients with antidepressants/antipsychotics with or without combination with other drugs.

Materials and Methods

A cross-sectional study was performed in Khorshid (PBUH) University Hospital affiliated with Isfahan University of Medical Sciences from March 2016 to May 2017. Patients with acute poisoning ingested antidepressants and antipsychotics with or without other drugs were included in the study. The outcome was categorized as survived without complications and complications/death. Binary regression analysis was performed for outcome prediction.

Results

The data from 239 patients were analyzed. Most of the patients were female (68.2%), 5.9% of patients admitted to the Intensive Care Unit. About 94.99% of patients survived without complications. There was a significant difference between patients with and without complications with respect to the level of consciousness, hypotension, seizure, electrocardiography findings, pulse rate after 24 hours (h) of admission, and need to endotracheal intubation (P < 0.0001). Binary logistic regression analysis showed admission level of consciousness (stupor/coma) (odds ratio [OR] =8.07; P = 0,005), hypotension (OR = 12.16; P = 0.001), seizure (OR = 11.15; P = 0.009), tachycardia after 24 h of admission (OR = 22.50; P = 0.003), and need for endotracheal intubation (OR = 10.47; P = 0.002) were determinant factors in outcome prediction.

Conclusions

Stupor/coma and hypotension were the predictive factors for outcome. Patients with seizure and tachycardia after 24 h of admission; and those intubated and received mechanical ventilation had a higher chance of complications.