Outcomes and Costs of Poisoned Patients Admitted to an Adult Emergency Department of a Spanish Tertiary Hospital: Evaluation through a Toxicovigilance Program

Epidemiology, clinical characteristics, and associated cost of acute poisoning: a retrospective study

Introduction

Poisoning is a major public health issue and a leading cause of admission to the emergency department (ED). There is a paucity of data describing the epidemiology and cost of acute poisoning. Therefore, this study investigated the epidemiology, patterns, and associated costs of acute poisoning in emergency department of the largest tertiary care healthcare centre in Qatar.

Method

This study was a retrospective review of the health records of patients admitted to the ED due to poisoning between January 2015 and December 2019. Incidence, clinical characteristics, and costs associated with acute poisoning were assessed. Frequency and percentages were calculated for categorical variables and mean and SD for continuous variables. The relationship between sociodemographic characteristics and poisoning profile was assessed using the chi-square test. A micro-costing approach using the cost of each resource was applied for cost calculations.

Result

The incidence of acute poisoning was 178 cases per 100,000 patients. Females (56%) and children below 14 years (44.3%) accounted for the largest proportion. Most of the exposures were accidental involving therapeutic agents (64.2%). The mean length of hospital stay was found to be 1.84 ± 0.81 days, and most patients (76.6%) were discharged within the first 8 h. A statistically significant difference was found between age groups and type of toxin (χ2 = 23.3, p < 0.001), cause and route of exposure (χ2 = 42.2, p < 0.001), and length of hospital stay (χ2 = 113.16, p < 0.001). Admission to intensive care units had the highest cost expenditure (USD 326,008), while general wards accounted for the least (USD 57,709).

Conclusion

Unintentional poisoning by pharmacological agents is common in infants and children. This study will assist in the development of educational and preventive programmes to minimise exposure to toxic agents. Further studies are required to explore the impact of medical toxicology services, and post discharge monitoring of poisoning.

Prediction the prognosis of the poisoned patients undergoing hemodialysis using machine learning algorithms

BACKGROUND

Hemodialysis is a life-saving treatment used to eliminate toxins and metabolites from the body during poisoning. Despite its effectiveness, there needs to be more research on this method precisely, with most studies focusing on specific poisoning. This study aims to bridge the existing knowledge gap by developing a machine-learning prediction model for forecasting the prognosis of the poisoned patient undergoing hemodialysis.

METHODS

Using a registry database from 2016 to 2022, this study conducted a retrospective cohort study at Loghman Hakim Hospital. First, the relief feature selection algorithm was used to identify the most important variables influencing the prognosis of poisoned patients undergoing hemodialysis. Second, four machine learning algorithms, including extreme gradient boosting (XGBoost), histgradient boosting (HGB), k-nearest neighbors (KNN), and adaptive boosting (AdaBoost), were trained to construct predictive models for predicting the prognosis of poisoned patients undergoing hemodialysis. Finally, the performance of paired feature selection and machine learning (ML) algorithm were evaluated to select the best models using five evaluation metrics including accuracy, sensitivity, specificity the area under the curve (AUC), and f1-score.

RESULT

The study comprised 980 patients in total. The experimental results showed that ten variables had a significant influence on prognosis outcomes including age, intubation, acidity (PH), previous medical history, bicarbonate (HCO3), Glasgow coma scale (GCS), intensive care unit (ICU) admission, acute kidney injury, and potassium. Out of the four models evaluated, the HGB classifier stood out with superior results on the test dataset. It achieved an impressive mean classification accuracy of 94.8%, a mean specificity of 93.5 a mean sensitivity of 94%, a mean F-score of 89.2%, and a mean receiver operating characteristic (ROC) of 92%.

CONCLUSION

ML-based predictive models can predict the prognosis of poisoned patients undergoing hemodialysis with high performance. The developed ML models demonstrate valuable potential for providing frontline clinicians with data-driven, evidence-based tools to guide time-sensitive prognosis evaluations and care decisions for poisoned patients in need of hemodialysis. Further large-scale multi-center studies are warranted to validate the efficacy of these models across diverse populations.

Acute Poisoning Readmissions to an Emergency Department of a Tertiary Hospital: Evaluation through an Active Toxicovigilance Program

The aim of this study is to investigate hospital readmissions during 1 year after acute poisoning cases (APC), analyze the temporal behavior of early readmissions (ER) (in the month after the index episode) and predict possible ER. A descriptive analysis of the patients with APC assisted between 2011 and 2016 in the Emergency Department of Hospital La Paz is presented, and various methods of inferential statistics were applied and confirmed by Bayesian analysis in order to evaluate factors associated with total and early readmissions. Out of the 4693 cases of APC included, 968 (20.6%) presented, at least one readmission and 476 (10.1%) of them were ER. The mean age of APC with readmission was 41 years (12.7 SD), 78.9% had previous psychiatric pathology and 44.7% had a clinical history of alcohol addiction. Accidental poisoning has been a protective factor for readmission (OR 0.50; 0.26–0.96). Type of toxin (“drug of abuse” OR 8.88; 1.17–67.25), history of addiction (OR 1.93; 1.18–3.10) and psychiatric history (OR 3.30; 2.53–4.30) are risk factors for readmissions during the first year. Women showed three or more readmissions in a year. The results of the study allow for identification of the predictors for the different numbers of readmissions in the year after the index APC, as well as for ERs.

Poisoning-related emergency department visits: the experience of a Saudi high-volume toxicology center

BACKGROUND

Acute poisoning is a major contributing factor to mortality and morbidity. There is a lack of research on the epidemiology of acute poisoning risk factors in Saudi Arabia.

OBJECTIVES

Descriptive overview of poisoning cases at a tertiary care center.

DESIGN

Descriptive, medical record review.

SETTINGS

Tertiary care center in Riyadh.

PATIENTS AND METHODS

From the electronic medical record system, we collected demographic information, medical history, and the poisoning history on all emergency department visits diagnosed as acute poisoning from January 2016 to January 2021. Patients were classed as children (<18 years old) or adults, and further classified by body mass index.

MAIN OUTCOME MEASURES

Intensive care unit (ICU) admission, organ transplantation, and mortality were classified as poor outcomes.

SAMPLE SIZE

492 adults and 1013 children (<18 years old) were identified.

RESULTS

The most frequent agent in poisoning for both groups was acetaminophen (n=52, 10.57% and n=100, 9.87%, respectively). The ICU admission rate was 6.7% and 4.8%, and the mortality rate 0.8% and 0.3%, respectively. The accidental poisoning rate was 57.7% among adults (n=284) and 67.6% among children (n=658). The suicide intention rate was 11.2% (n=55) and 7.4% (n=75) among adults and children, respectively. The management for both populations was nonspecific, involving observation, supportive measures, and symptomatic treatment.

CONCLUSION

Although the ICU admission rates were consistent with reported data, the mortality rate was marginally lower. The pediatric predominance in the population implies a lack of caregiver education in the region regarding the safe storage of drugs and household products, as well as the use of child-resistant packaging. The high rate of accidental poisoning in both age groups should prompt further investment to promote public health education on the rational use and safe storage of toxic agents and self-protection. The high suicide intention rate needs to be investigated to develop multidisciplinary risk prevention strategies.

LIMITATIONS

Single center, retrospective, small population size.

CONFLICT OF INTEREST

None.

Minimum Data Set for a Poisoning Registry: A Systematic Review

Poisoning, as a well-known medical condition, puts everyone at risk. As a data management tool, a registry plays an important role in monitoring the poisoned patients. Having a poisoning minimum data set is a major requirement for creating a poisoning registry. Therefore, the present systematic review was conducted in 2019 to identify the minimum data set for a poisoning registry. Searches were performed in four scientific databases, i.e., PubMed, Scopus, Web of Science, and Embase. The keywords used in the searches included minimum data set, "poison", and "registry". Two researchers independently evaluated the titles, abstracts, and texts of the papers. The data were collected from the related papers. Ultimately, the minimum data set was identified for the poisoning registry. Data elements extracted from the sources were classified into two general categories: administrative data and clinical data. Ninety-eight data elements in the administrative data category were subdivided into three sections: general data, admission data, and discharge data. One-hundred and thirty-one data elements in the clinical data category were subdivided into five sections: clinical observation data, clinical assessment data, past medical history data, diagnosis data, and treatment plan data. The minimum data set is a prerequisite for creating and using a poisoning registry and data system. It is suggested to evaluate and use the poisoning minimum data set in accordance with the national laws, needs, and standards based on the opinion of the local experts.

Treating patients with opioid overdose at a primary care emergency outpatient clinic: a cost-minimization analysis

BACKGROUND

Treating patients with acute poisoning by substances of abuse in a primary care emergency clinic has previously been shown to be a safe strategy. We conducted an economic evaluation of this strategy compared to hospital treatment, which is the usual strategy.

METHODS

Assuming equal health outcomes, we conducted a cost-minimization analysis. We constructed a representative opioid overdose patient based on a cohort of 359 patients treated for opioid overdose at the Oslo Accident and Emergency Outpatient Clinic (OAEOC) from 1.10.2011 to 30.9.2012. Using a health care system perspective, we estimated the expected resources used on the representative patient in primary care based on data from the observed OAEOC cohort and on information from key informants at the OAEOC. A likely course of treatment of the same patient in a hospital setting was established from information from key informants on provider procedures at Drammen Hospital, as were estimates of hospital use of resources. We calculated expected costs for both settings. Given that the treatments usually last for less than one day, we used undiscounted cost values.

RESULTS

The estimated per patient cost in primary care was 121 EUR (2018 EUR 1.00 = NOK 9.5962), comprising 97 EUR on personnel costs and 24 EUR on treatment costs. In the hospital setting, the corresponding cost was 612 EUR, comprising 186 EUR on personnel costs, 183 EUR on treatment costs, and 243 EUR associated with intensive care unit admission. The point estimate of the cost difference per patient was 491 EUR, with a low-difference scenario estimated at 264 EUR and a high-difference scenario at 771 EUR.

CONCLUSIONS

Compared to hospital treatment, treating patients with opioid overdose in a primary care setting costs substantially less. Our findings are probably generalizable to poisoning with other substances of abuse. Implementing elements of the OAEOC procedure in primary care emergency clinics and in hospital emergency departments could improve the use of health care resources.

Characteristics and costs in adults with acute poisoning admitted to the emergency department of a university hospital in Belgium

Objective

The aims of this study were to assess the characteristics of all acute poisoning admissions among adult emergency department (ED) patients, to identify factors associated with admission and to calculate direct medical cost.

Methods

Data of 2017 (1^st January to 31^st December) were collected and analyzed retrospectively using patients’ medical records and hospital invoices. Factors associated with type of hospitalization were identified using appropriate statistics.

Results

A total of 1,214 hospital admissions were included, accounting for 3.6% of all ED admissions. Men (62.2%) and the age group 21–40 years (43.0%) accounted for the largest proportion. Substances most commonly involved were ethanol (52.9%), benzodiazepines (9.7%), cocaine (4.9%), cannabis (4.6%), antidepressants (4.6%) and psychostimulants (4.6%). A total of 4,561 treatment acts were recorded, most commonly monitoring of vital signs (63.6%) and medication and/or intravenous drip administration (62.9%). Patients were discharged home after having received care in the emergency department (ED-amb) in 54.5% of admissions, were admitted to the emergency-department-24-hours-observation unit (ED-24h) or were hospitalized (Hosp) in 24.6% and 20.9% of admissions, respectively. Factors found to be associated with hospitalization type were age, hour of admission, victim location, degree of severity, use of antidotes, involvement of antidepressants, antipsychotics, psychostimulants, benzodiazepines and ethanol. Total cost was €1,512,346 with an average of €1,287 per admission.

Conclusion

Poisonings entail a considerable percentage of patients admitted to an ED and financial burden. In particular, ethanol poisonings account for the largest proportion of all ED admissions. Comparison of our figures with other data is hampered by the heterogeneity in inclusion criteria. Availability of a uniform template would facilitate comparison and allow better monitoring policies for prevention and cost reduction.

Adults with acute poisoning admitted to a university hospital in Belgium in 2017: cost analysis benchmarked with national data

Objective: Aims were to (1) analyse the direct cost charged by a university hospital to the government and the patient in case of an admission for acute poisoning, (2) identify the factors associated with the cost, and (3) compare the cost in the hospital studied with national data from the government.Methods: Patient records and invoices of all poisoning-related episodes of patients 14 years or older admitted to the Emergency Department (ED) of Ghent University Hospital (GUH) in 2017 were analysed. A generalised linear model with gamma loglink was applied to assess the variables associated with the cost. Our GUH data collected in 2017 were compared with national data 2016 for all Belgian hospitals on the one hand, and for the subgroup of GUH 2016 data on the other hand. To do this, we used data provided by the Technical Unit of the Federal Public Service Health, containing All Patient Refined Diagnosis Related Groups 812 (poisoning by medicinal agents) and 816 (toxic effects by non-medicinal substances).Results: The total direct cost for the treatment of 1,175 poisoned patients amounted to $1,830,870. Median direct cost per patient was $512 per episode, with $199 for ambulatory patients, $1,575 for patients admitted to the ED-observation-unit, $3,398 for hospitalised patients and $4,859 for patients treated in the intensive care unit. Factors associated with the cost were gender, degree of severity, type of hospitalisation, intentionality, and involvement of ethanol, paracetamol, antidepressants or amphetamines. Median hospitalisation cost per admission in GUH for medicinal agents was 70.5% higher than the cost reported in national hospitalisation data. Median cost per admission in case of non-medicinal agents was 54.5% higher than the national median 2016.Conclusion: The type of hospitalisation has a high impact on the cost, a.o. primarily due to the length of hospital stay, with accommodation accounting for a large proportion of the costs. It is important to benchmark individual hospital data with (inter)national data to evaluate its own cost management in the context of continuous improvement.

A quarter of admitted poisoned patients have a mild poisoning and require no treatment: An observational study

BACKGROUND

Poisoned patients are frequently admitted following Emergency Department (ED) presentation, while the necessity of such admissions is hardly investigated. We determined the proportion and characteristics of poisoned patients who were admitted, but in retrospect had an uneventful admission.

METHODS

For this observational cohort study, all patients presented to the ED of a Dutch University Hospital with various poisonings during a 1.5-year period (January 2015-July 2016) were included. The uneventfulness of admissions, defined as patients with a low Poisoning Severity Score (PSS) who received no treatment, was determined in retrospect.

RESULTS

We included 417 patients who visited the ED for poisoning. 247 Patients were admitted: 30% to a general ward, 58% to a MCU, and 12% to the ICU. The poisoning severity scores of the admitted patients were none to mild in 38%, moderate to severe in 59%, and fatal in 2%. Upon admission, 60% of the patients received treatment. In retrospect, 77% of the admitted patients had a moderate, severe or fatal poisoning and/or required treatment. However, 23% of the admitted patients had a mild poisoning and required no treatment. This group involved younger patients (median age of 23 versus 42 years) and a higher proportion of patients reporting exposure to only one substance (65% versus 51%).

CONCLUSIONS

The majority of poisoned patients presented to the ED was admitted, while in retrospect, a quarter of these admissions were uneventful. Predictive parameters should be sought to identify patients who can be sent home safely.

Suicide attempts: epidemiologic trends towards geoprocessing

In order to study data about suicide attempts and do the mapping of occurrence areas, it was developed an ecologic and exploring study, making use of techniques of geoprocessing, based on confirmed cases of suicide attempts. Cases of self-poisoning were included in the urban area of Campina Grande county, in the period of 2010-2013. A total of 446 suicide attempts were geo-referred, pointing up an incidence of 120 cases out of each 100,000 inhabitants. The sample was mostly feminine (66.4%), and 62.3% being up to 30 years old. Kernel's map remarked hot spot areas. Compared to surrounding areas the suicide risk of populations within the hot spots was increased (38%; Relative Risk = 1.38; p= 0.0029), with an average estimative of 165 suicide attempts out of 100,000 inhabitants. Through identification of hot spots and index of living conditions of the neighborhoods, it is possible to set priorities in terms of public policies for the prevention of suicide attempts and control of the marketing of substances that are potentially toxic.

General hospital costs in England of medical and psychiatric care for patients who self-harm: a retrospective analysis

BACKGROUND

Self-harm is an extremely common reason for hospital presentation. However, few estimates have been made of the hospital costs of assessing and treating self-harm. Such information is essential for planning services and to help strengthen the case for investment in actions to reduce the frequency and effects of self-harm. In this study, we aimed to calculate the costs of hospital medical care associated with a self-harm episode and the costs of psychosocial assessment, together with identification of the key drivers of these costs.

METHODS

In a retrospective analysis, we estimated hospital resource use and care costs for all presentations for self-harm to the John Radcliffe Hospital (Oxford, UK), between April 1, 2013, and March 31, 2014. Episode-related data were provided by the Oxford Monitoring System for Self-harm and we linked these with financial hospital records to quantify costs. We assessed time and resources allocated to psychosocial assessments through discussion with clinical and managerial staff. We then used generalised linear models to investigate the associations between hospital costs and methods of self-harm.

FINDINGS

Between April 1, 2013, and March 31, 2014, 1647 self-harm presentations by 1153 patients were recorded. Of these, 1623 (99%) presentations by 1140 patients could be linked with hospital finance records. 179 (16%) patients were younger than 18 years. 1150 (70%) presentations were for self-poisoning alone, 367 (22%) for self-injury alone, and 130 (8%) for a combination of methods. Psychosocial assessments were made in 75% (1234) of all episodes. The overall mean hospital cost per episode of self-harm was £809. Costs differed significantly between different types of self-harm: self-injury alone £753 (SD 2061), self-poisoning alone £806 (SD 1568), self-poisoning and self-injury £987 (SD 1823; p<0·0001). Costs were mainly associated with the type of health-care service contact such as inpatient stay, intensive care, and psychosocial assessment. Mean costs of psychosocial assessments were £228 for adults and £392 for individuals younger than 18 years.

INTERPRETATION

If our findings are extrapolated to England, the estimated overall annual cost of general hospital management of self-harm is £162 million per year. More use of psychosocial assessment and other preventive measures, especially for young people and against self-poisoning, could potentially lower future costs at a time of major cost pressures in the NHS.

FUNDING

National Institute for Health Research (NIHR) Collaboration for Leadership in Applied Health Research, Care Oxford at Oxford Health NHS Foundation Trust, and Department of Health.