Should We Be Using the Poisoning Severity Score?

Validity of different scoring systems in prediction of intensive care unit admission and mortality in acute organophosphate poisoning

Background

Organophosphate compounds (OPCs) pose significant health risks, especially in developing countries with limited resources. Predicting outcomes in OPCs poisoning is crucial for guiding clinical management and reducing mortality rates. The aim of this study to evaluate the validity of different scoring systems Rapid Emergency Medicine Score, Multiple Organ Dysfunction Score, Acute Physiology and Chronic Health Evaluation Score, and Poison Severity Score in prediction of intensive care unit (ICU) admission and mortality of acute OPCs poisoning patients.

Methods

A cross-sectional study was conducted on 103 patients admitted to Xx Poison Control Center between May 2022 and June 2023. Scoring systems were applied at admission, and their performance in predicting the need for ICU admission and mortality was evaluated using receiver operating characteristic (ROC) curve analysis.

Results

Most patients survived (92.2%). Only 13.6% of the patients required ICU admission. Significant differences in median scores were observed between survivors and non-survivors and between patients requiring ICU admission and those who did not. Multiple Organ Dysfunction Score exhibited the highest discriminatory power for predicting both ICU admission (AUC = 0.983) and mortality (AUC = 0.999).

Conclusion

The findings highlight the importance of utilizing scoring systems, particularly Multiple organ dysfunction score, for prediction of poor outcomes of acute OPCs poisoning.

Indian Society of Critical Care Medicine Position Statement: Approach to a Patient with Poisoning in the Emergency Room and Intensive Care Unit

Poisoning and its aftermath are globally observed and acknowledged concerns. India has a large burden of "self-harm/suicides" with 12.4/per 100,000 population committing suicide. Consumption of poisonous substances is the second most common mode of self-harm in India. Patients present to both public and private institutions in a critically ill state. The Indian Society of Critical Care Medicine (ISCCM) and Indian College of Critical Care Medicine (ICCCM) decided to address common and contentious issues related to poisoning by developing a position statement that is expected to be appropriate in the Indian scenario by the constitution of an "expert group" to provide a "set of statements" aimed at addressing the common issues faced by intensivists in their practice in managing such patients. The structured approach, framework, and process adopted in developing the position statement on the approach to poisoning have been detailed in this statement. The formation of an expert advisory panel was followed by a literature search, and multiple sessions of consensus-building exercises to reach the current statement presented below. The statement consists of relevant questions with possible answers thereof. Each answer was further weighed against the data and evidence available in the literature. Recommendations were made using a simplified score to make the statement qualitatively meaningful.

How to cite this article

Rungta N, Ray B, Bhalla A, DP Samaddar, Paul G, Prasad S, et al. Indian Society of Critical Care Medicine Position Statement: Approach to a Patient with Poisoning in the Emergency Room and Intensive Care Unit. Indian J Crit Care Med 2024;28(S2):S217-S232.

Predictors of Serotonin Syndrome in Acute Poisoning with 5-Hydroxytryptamine Modulators

5-Hydroxytryptamine (5-HT) modulators are commonly prescribed medications with potentially life-threatening outcomes, particularly serotonin syndrome (SS). Early prediction of SS is critical not only to avoid lethal drug combinations but also to initiate appropriate treatment. The present work aimed to recognize the significant predictors of SS through a retrospective cross-sectional study that was conducted among patients exposed to an overdose of 5-HT modulators and admitted to a poison control center where 112 patients were enrolled. Of them, 21 patients were diagnosed with SS, and 66.7% of patients with SS were exposed to long-term co-ingestion. There was a noticeable surge in SS between April and May, and 52.4% of patients who suffered from SS were admitted after suicidal exposure (p < 0.05). Patients with SS showed severe presentation indicated by high-grade poison severity scores (PSS) and low Glasgow coma scales (GCS). PSS was a significant predictor of SS with an area under the curve of 0.879. PCO2, pulse, GCS, HCO3, and erythrocytic count were other significant predictors of SS. Combinations of serotonergic agents increase the likelihood of developing SS. Clinicians should be vigilant when prescribing a combination of serotonergic therapy, particularly for patients on illicit sympathomimetic and over-the-counter medications like dextromethorphan.

Factors associated with refusing hemoperfusion in patients with acute paraquat poisoning

Background

Paraquat poisoning remains a critical public health issue with no established effective treatment. Hemoperfusion (HP) has been recognized for its potential to remove toxins and is widely employed in several developing countries for managing acute paraquat poisoning cases. However, the reluctance of some patients to undergo this recommended treatment has been observed but not thoroughly investigated. This study aimed to explore the factors associated with the refusal of HP in patients suffering from paraquat intoxication.

Materials and Methods

In this retrospective study, data of 358 patients with acute paraquat poisoning were analyzed in Xi'an, China. The outcome of our study was mortality, and the influential factors were age, gender, marital status, educational level, symptoms at presentation, and laboratory findings. A logistic regression model was utilized to explore the independent risk factors.

Results

In a total of 358 paraquat-poisoned patients, the significant differences were found between patients who underwent HP and those who did not, particularly regarding mean age (48.02 years vs. 42.32 years; P = 0.01), mental disorders (15.6% vs. 6.1%; P = 0.01), poisoning severity score (2.36 vs. 2.57; P = 0.03), organ failure (10.9% vs. 23.5%; P = 0.02), and mechanical ventilation (18.8% vs. 33.3%; P = 0.02). Patients who refused HP exhibited a higher mortality (20.3% vs. 10.9%; P = 0.03) compared to those who received HP. Age (odds ratio (OR), 1.76; 95% confidence interval (CI): 1.01-3.82; P = 0.01) and history of mental disorders (OR, 2.81; 95% CI: 1.19-6.61; P = 0.02) were identified as significant independent predictors for the refusal of HP.

Conclusion

The results of this study showed that elderly individuals and those with a history of mental disorders were independently associated with refusing HP in patients with acute paraquat poisoning.

Evaluation of Global Dystonia Rating Scale as a predictor of unfavorable outcomes among acute antipsychotics poisoned patients

Worldwide, acute antipsychotic poisoning results in high morbidities and mortalities. Though extrapyramidal syndromes are commonly associated, the extent of extrapyramidal syndromes in relation to the severity of antipsychotic poisoning has not been addressed yet. Thus, this study aimed to assess the Global Dystonia Rating Scale (GDRS) as an unfavorable outcomes predictive tool in acute antipsychotic poisoning. A cross-sectional study included 506 antipsychotic-poisoned patients admitted to Tanta University Poison Control Center, Egypt, over three years was conducted. The mean GDRS was 9.1 ± 16.7 in typical antipsychotic poisoning, which was significantly higher than that of atypical antipsychotics (4.2 ± 11.5) (p = 0.003). Patients with GDRS> 20 showed significantly higher liability for all adverse outcomes (p < 0.05). However, poisoning with typical antipsychotics was associated with significantly more cardiotoxicity (p = 0.042), particularly prolonged QRS (p = 0.005), and intensive care unit (ICU) admission (p = 0.000). In contrary to the PSS, which failed to predict the studied adverse outcomes, GDRS significantly predicted all adverse outcomes (p < 0.000) for all antipsychotic generations. In atypical antipsychotics, GDRS above three accurately predicted cardiotoxicities, prolonged QTc interval, and respiratory failure with Area under curves (AUC) of 0.937, 0.963, and 0.941, respectively. In typical antipsychotic poisoning, at higher cutoffs (7.5, 27.5, 18, and 7.5), cardiotoxicities, prolonged QTc interval, and respiratory failure were accurately predicted (AUC were 0.974, 0.961, and 0.960, respectively). GDRS is an objective, substantially useful tool that quantifies dystonia and can be used as an early reliable predictor of potential toxicity in acute antipsychotic poisoning.

The Tanta University risk model could help identify patients with acute poisoning who would require intensive care unit level of care

OBJECTIVE

To independently validate the negative predictive value of the Tanta University risk model for intensive care requirements in poison center telephone consultations with other physicians.

METHODS

This study included 400 consecutive patients with acute poisoning. Clinical and laboratory parameters were recorded during the initial consultation with the poison center. Patients who were already ventilated or on vasopressors at the time of consultation were excluded. The Tanta University risk model score was calculated from the data according to the following equation: Tanta University risk model score = 1.966*Glasgow Coma Scale + 0.329*oxygen saturation (percent) + 0.212*diastolic blood pressure (mmHg) - 0.27*respiratory rate (breaths/minute) + 0.33*standard bicarbonate (mmol/L). Twenty-four hours later, the patients' courses were followed up by telephone. The Tanta University risk model was then compared to a composite endpoint indicating the requirement for admission to an intensive care unit (vasopressors, need for intubation, or death).

RESULTS

Four hundred patients with acute poisoning were included. Thirty-seven patients had a complicated clinical course as defined by the composite endpoint. Receiver operating characteristic analysis revealed the area under the curve to be 0.87 (95 percent confidence interval 0.83-0.90). An unfavorable Tanta University risk model score was defined as less than 73.46, using a cut-off derived from a previous study of an unrelated series of patients with acute poisoning admitted to our service. Thirty-one of 37 patients with complicated courses had an unfavorable Tanta University risk model score compared to six patients with complicated courses among 306 patients with a favorable Tanta University risk model score (P < 0.0002, Fisher's exact test). Sixty-three patients had an unfavorable Tanta University risk model score but an uneventful course. The negative predictive value of the Tanta University risk model was 0.98 (95 percent confidence interval 0.96-0.99), sensitivity was 0.84, and specificity 0.83.

CONCLUSIONS

In the present study of poison center telephone consultations, the Tanta University risk model was significantly related to the outcomes in patients with acute poisoning. Patients with a favorable Tanta University risk model score (greater than or equal to 73.46) were unlikely to need intensive care unit level of care.

Critical care management of acute intoxications, dynamics and changes over time: a cohort study

Acute intoxications and poisonings are a relevant cause for ICU admission of critically ill patients. This study aimed to determine the characteristics of intoxicated patients in a tertiary center medical ICU in Austria over time and to investigate parameters associated with ICU mortality. This study was a retrospective data analysis including adult ICU patients from the years 2007 to 2021. In addition to ICU documentation, pre-hospital, and emergency department documents as well as autopsy reports were utilized. In an exploratory subanalysis, we compared these findings to a historical dataset from our facility from 1992 to 1996. We identified 581 cases admitted to the medical ICU because of acute poisoning (2007-2021), of which 45% were female and 46.6% were mixed intoxications. Suicidal intent was the primary cause of intoxication (48.2%) and ICU length of stay was median 1.2 days. The majority of deceased patients received pre-hospital mechanical CPR. Primary and secondary poison/toxin removal modalities were used in 29.9% and 11.7% of cases, whereas antidotes were administered in 54.4%. Comparing the data with a historical cohort (n = 168), we found a shift in primary detoxification away from gastric lavage and an increase in alternative secondary poison/toxin removal techniques. The ICU mortality was 4.1% and 4.2% in the present and historic cohort, respectively. Pre-existing psychiatric illnesses increased from 49% in the historic to 69% in the present cohort. Psychiatric illness predisposes patients to severe intoxications necessitating ICU care, thus increasing prevention measures seems warranted. Females did present with a different spectrum of intoxications compared to males. ICU mortality remained low over time and most deceased patients had a grim prognosis already on ICU arrival.

Evaluation of the new poisoning mortality score in comparison with PSS and SOFA scoring systems to predict mortality in poisoned patients admitted to the intensive care unit

Objective

Mortality prediction in acute poisoning patients aids in prompt and effective treatment. This study aimed to evaluate the effectiveness of the new Poisoning Mortality Score (PMS) in comparison with the Poison Severity Score (PSS) and Sequential Organ Failure Assessment (SOFA) scoring systems in poisoned patients admitted to the intensive care unit (ICU).

Material and Methods

The medical records of 523 poisoned patients admitted to the ICU of the Poison Control Centre from September 2021 to June 2022 were examined retrospectively. The PMS, PSS, and SOFA scores were calculated based on the worst values of the first 24 h of admission.

Results

A total of 100 patients were enrolled in the study, and the in-hospital mortality rate was 28%. The best cut-off points for predicting mortality for PMS, PSS, and SOFA scores were > 53, > 2, and > 6, with sensitivities of 67.9%, 85.7%, and 82.4% and specificities of 73.6%, 84.7%, and 83.3% respectively. In a pairwise comparison of the AUCs for PMS, PSS, and SOFA scores, SOFA displayed significantly greater accuracy than PSS and PMS.

Conclusion

The PMS, PSS, and SOFA scoring systems were significant predictors of mortality in ICU-admitted poisoned patients, however, the SOFA score showed the best performance (OR = 1.77, and 95% CI = 1.42-2.54) with significant P-value (0.002) as a predictor of mortality and highest AUC(0.904).

Creating and evaluating the score to assess overdose: the OD score

BACKGROUND

During disasters (including epidemics such as coronavirus disease 2019), the capacity of emergency departments is exceeded, thereby hindering the administration of appropriate lifesaving measures. Furthermore, the number of overdose patients increases because of the stress overload during emergency situation. The fact that overdose patients are forced to be transported to medical facilities that do not typically treat them is becoming worrisome. Moreover, there is no definitive score for overdose. This study aimed to create a patient-specific scoring system to assess overdose.

METHODS

This was a retrospective single-center study. The evidence-based OD score was evaluated on a scale of 0-15. Further, logistic analysis and receiver operating characteristic (ROC) curve analysis were performed to evaluate the score.

RESULTS

Overall, 262 patients (including 118 overdose patients) receiving care at the intensive care unit of Japan's Teikyo University Hospital in 2021 were targeted. Regarding the total OD score, ROC analysis revealed a cutoff of 8 (area under the curve [AUC]: 0.99, 95% confidence interval [CI]: 0.980-0.997, sensitivity: 0.95, specificity: 0.95, p < 0.05), which was considered to indicate an overdose. Of the items evaluated in the OD score, the scenario at the location of the patient's discovery (adjusted odds ratio [AOR]: 16.8, 95% CI: 5.0-255.9, p = 0.002) and recent experience of mental anxiety (AOR: 55.7, 95% CI: 2.8-5399.5, p = 0.03) significantly predicted an overdose in multivariable logistic regression analysis. External validation revealed that the OD score could also identify overdose in patients treated in a cohort from 2022 (average cutoff: 8.6, average AUC: 1.0, p < 0.0001).

CONCLUSIONS

The OD score could accurately assess overdose patients. Medical facilities that do not frequently address overdose patients will benefit from the use of this score.

Comparison of the new-Poisoning Mortality Score and the Modified Early Warning Score for predicting in-hospital mortality in patients with acute poisoning

INTRODUCTION

The evaluation of acute poisoning is challenging due to varied toxic substances and clinical presentations. The new-Poisoning Mortality Score was recently developed to assess patients with acute poisoning and showed good performance in predicting in-hospital mortality. The objective of this study is to externally validate the performance of the new-Poisoning Mortality Score and to compare it with the Modified Early Warning Score.

METHODS

This retrospective analysis used data from the 2019-2020 Injury Surveillance Cohort, established by the Korea Center for Disease Control and Prevention, to perform external validation of the new-Poisoning Mortality Score. The statistical performances of the new-Poisoning Mortality and Modified Early Warning Scores were assessed and compared in terms of discrimination and calibration. Discrimination analysis involved metrics such as sensitivity, specificity, accuracy, and the area under the receiver operating characteristic curve. For calibration analysis, the Hosmer-Lemeshow goodness-of-fit test was utilized and calibration curves for each score were generated to elucidate the relationship between observed and predicted mortalities.

RESULTS

This study analysed 16,570 patients with acute poisoning. Significant differences were observed between survivors and those who died in-hospital, including age, sex, and vital signs. The new-Poisoning Mortality Score showed better performance over the Modified Early Warning Score in predicting in-hospital mortality, in terms of the area under the receiver operating characteristic curve (0.947 versus 0.800), sensitivity (0.863 versus 0.667), specificity (0.912 versus 0.817), and accuracy (0.911 versus 0.814). When evaluated through calibration curves, the new-Poisoning Mortality Score showed better concordance between predicted and observed mortalities. In subgroup analyses, the score system consistently showed strong performance, excelling particularly in substances with high mortality indices and remaining superior in all substances as a group.

CONCLUSIONS

Our study has helped to validate the new-Poisoning Mortality Score as an effective tool for predicting in-hospital mortality in patients with acute poisoning in the emergency department. The score system demonstrated superior performance over the Modified Early Warning Score in various metrics. Our findings suggest that the new-Poisoning Mortality Score can contribute to the enhancement of clinical decision-making and patient management.

Development and validation of a nomogram for predicting mechanical ventilation need among acutely intoxicated patients with impaired consciousness

BACKGROUND

A considerable portion of acutely intoxicated patients is presented with impaired consciousness. Early identification of those patients who require advanced medical care, such as mechanical ventilation (MV), can improve their prognosis.

METHODS

This study included 330 acutely intoxicated patients who were presented with impaired consciousness and admitted to Tanta University Poison Control Center, Egypt, in the period from January 2021 to December 2023. Patients were enrolled in derivation (257 patients) and validation (73 patients) cohorts. Patients' data were analyzed to develop and validate a predictive nomogram to determine the probability of MV need in acutely intoxicated patients.

RESULTS

Significant predictors for MV need were mean arterial blood pressure (OR = 0.96, p = .014), PaO2 (OR = 0.96, p = .001), pH (OR = 0.00, p < . 001), and glucose/potassium ratio (OR = 1.59, p = .030). These four parameters were used to formulate a bedside nomogram. Receiver-operating characteristic (ROC) analysis for the proposed nomogram shows that area under the curve (AUC) = 95.7%, accuracy = 93.4%, sensitivity = 88.9%, and specificity = 95.1%. The internal validation for the developed nomogram was assessed using a bootstrapping method and calibration curve. Regarding external validation, AUCs for the developed nomogram probability was 96.5%, and for predicted probability using the developed nomogram was 97.8%.

CONCLUSION

The current study provides a validated nomogram that could be used as a reliable tool for the accurate prediction of MV need among acutely intoxicated patients with impaired consciousness. It could assist in the early identification of patients who will require MV, especially in low-income countries with limited resources.

Comparison of different scores as predictors of mechanical ventilation and intensive care unit admission in acute theophylline poisoning

Background

Theophylline is commonly used to control respiratory diseases, especially in developing countries. Theophylline has a narrowed therapeutic index, and its toxicity is associated with morbidity and mortality. Physicians should be aware of the early prediction of the need for intensive care unit admission (ICU) and mechanical ventilation (MV).

Aim

This study aimed to assess the power of the Rapid Emergency Medicine Score (REMS), Modified Early Warning Score (MEWS) and Simple Clinical Score (SCS) in predicting the need for ICU admission and/or MV in acute theophylline-poisoned patients.

Patients and methods

This cross-sectional study included 58 patients with acute theophylline poisoning who were admitted to our Poison Control Center from the 1st of July 2022 to the 31st of January 2023. The REMS, MEWS and SCS were calculated for all patients on arrival at the hospital. The area under the curve (AUC) and receiver operating characteristics were tested to compare scores.

Results

The median values of all studied scores were significantly high among patients who needed MV and/or ICU admission. The AUC of SCS was >0.9, with a sensitivity of 92.9% and specificity of 90.9% for the prediction of ICU admission. Meanwhile, MEWS was an excellent predictor of the need for MV (AUC = 0.996, 95% CI = 0.983-1.000).

Conclusions

We recommend using SCS as an early predictor for ICU admission in acute theophylline-poisoned patients. However, MEWS could effectively predict MV requirements in acute theophylline-poisoned patients.

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.

Development and validation of a risk prediction nomogram for serious arrhythmias in acute digoxin toxicity among pediatrics: A multicenter study

Digoxin is a cardiac glycoside obtained from the leaves of the foxglove plant, Digitalis lanata. Several studies have described the safety of digoxin including various life-threatening events, notably cardiac arrhythmias. Early identification of high-risk patients and subsequent initiation of the utmost medical care are associated with a better prognosis. The assessment of serum digoxin levels, which is not always convenient, is the only tool used to evaluate the severity of digoxin exposure. However, the feasibility of this tool, particularly in resource-restricted countries, remains unclear. Therefore, the current study aimed to establish and validate a feasible alternative tool, a bedside nomogram, to identify pediatric patients diagnosed with acute digoxin intoxication who are at risk of developing serious arrhythmias. This was a two-phase, multicenter, retrospective study. The prevalence of serious arrhythmias was approximately 17%. Patients diagnosed with serious arrhythmias showed significantly higher serum digoxin, random blood glucose, and potassium levels but lower sodium, magnesium, and hemoglobin levels. Serious arrhythmias were associated with significantly lower P-R intervals, shorter QTc intervals, and more frequent digoxin effects (p < 0.05). The proposed nomogram showed that combining age and initial random blood glucose, sodium, and potassium levels could predict the future incidence of serious arrhythmia with an accuracy of 96.2% (sensitivity = 94.4%, specificity = 96.5%), an area under the curve (AUC) of 0.977, and p < 0.001. Validation of the proposed nomogram yielded an AUC for the nomogram probability of approximately 81%, and the AUC for the predicted probability using the developed model was 98.3%, indicating that both the validated model and the developed nomogram were significant predictors of serious arrhythmia. The utility of using the four-factor nomogram to determine the risk of serious arrhythmia in children exposed to an overdose of digoxin is comparable, if not superior, to the serum digoxin level.

Body mass index as a predictor of the outcomes of acute clozapine toxicity: a cross-sectional study

Acute antipsychotic overdose is frequently reported nowadays. Clozapine is one of the atypical agents that are highly lipophilic, highly protein-bound, has a large volume of distribution, and accumulates in the brain and other tissues. Obesity is an essential factor controlling patients' treatment and clinical course. The current study aimed to study the prognostic value of body mass index (BMI) in patients with acute clozapine poisoning. All patients were evaluated on admission using the Poison Severity Score (PSS) and Glasgow Coma Score (GCS). The BMI was calculated. Mortality and the need for ICU admission were defined as primary outcomes, whereas secondary outcomes included cardiovascular complications and the need for mechanical ventilation. Thirty-eight patients presented with acute clozapine poisoning. The mean age of included patients was 25.2 ± 6. Patients were categorized regarding BMI into average weight (26.3%), overweight (31.6%), and obese (42.1%). Pearson's correlation indicated a significant positive correlation between BMI and respiratory rate (r = .364, p = .025). A significant negative correlation existed between BMI and GCS (r = .674, p ≤ .001). ROC curve reveals that BMI is an excellent predictor for the requirement of mechanical ventilation area under the curve (AUC > .9), a fair predictor of ICU admission AUC (.747). BMI had a sensitivity of 100% and specificity of 51.7 for the prediction of ICU admission. In conclusion, obesity increased the severity of toxicity and the incidence of poor clinical outcomes in patients with acute clozapine poisoning.

Heart-Brain 346-7 Score: the development and validation of a simple mortality prediction score for carbon monoxide poisoning utilizing deep learning

INTRODUCTION

Acute mortality from carbon monoxide poisoning is 1-3%. The long-term mortality risk of survivors of carbon monoxide poisoning is doubled compared to age-matched controls. Cardiac involvement also increases mortality risk. We built a clinical risk score to identify carbon monoxide-poisoned patients at risk for acute and long-term mortality.

METHODS

We performed a retrospective analysis. We identified 811 adult carbon monoxide-poisoned patients in the derivation cohort, and 462 adult patients in the validation cohort. We utilized baseline demographics, laboratory values, hospital charge transactions, discharge disposition, and clinical charting information in the electronic medical record in Stepwise Akaike's Information Criteria with Firth logistic regression to determine optimal parameters to create a prediction model.

RESULTS

In the derivation cohort, 5% had inpatient or 1-year mortality. Three variables following the final Firth logistic regression minimized Stepwise Akaike's Information Criteria: altered mental status, age, and cardiac complications. The following predict inpatient or 1-year mortality: age > 67, age > 37 with cardiac complications, age > 47 with altered mental status, or any age with cardiac complications and altered mental status. The sensitivity of the score was 82% (95% confidence interval: 65-92%), the specificity was 80% (95% confidence interval: 77-83%), negative predictive value was 99% (95% confidence interval: 98-100%), positive predictive value 17% (95% confidence interval: 12-23%), and the area under the receiver operating characteristic curve was 0.81 (95% confidence interval: 0.74-0.87). A score above the cut-off point of -2.9 was associated with an odds ratio of 18 (95% confidence interval: 8-40). In the validation cohort (462 patients), 4% had inpatient death or 1-year mortality. The score performed similarly in the validation cohort: sensitivity was 72% (95% confidence interval: 47-90%), specificity was 69% (95% confidence interval: 63-73%), negative predictive value was 98% (95% confidence interval: 96-99%), positive predictive value was 9% (95% confidence interval: 5-15%) and the area under the receiver operating characteristic curve was 0.70 (95% confidence interval: 60%-81%).

CONCLUSIONS

We developed and validated a simple, clinical-based scoring system, the Heart-Brain 346-7 Score to predict inpatient and long-term mortality based on the following: age > 67, age > 37 with cardiac complications, age > 47 with altered mental status, or any age with cardiac complications and altered mental status. With further validation, this score will hopefully aid decision-making to identify carbon monoxide-poisoned patients with higher mortality risk.

Evaluation of various scoring systems as predictors of the need for intensive care unit admission and other adverse outcomes among patients with acute clozapine poisoning

Acute clozapine poisoning (ACP) is frequently reported worldwide. We evaluated the efficacy of the Poison Severity Score (PSS), Acute Physiology and Chronic Health Evaluation II (APACHE II) score, Rapid Emergency Medicine Score (REMS), and Modified Early Warning Score (MEWS) as predictors for intensive care unit (ICU) admission, mechanical ventilation (MV), mortality, and length of hospital stay in patients with ACP. A retrospective cohort study was conducted using records of patients diagnosed with ACP from January 2017 to June 2022 and admitted to an Egyptian poison control center. Analyzing 156 records showed that all assessed scores were significant predictors of the studied outcomes. The PSS and APACHE II score showed the highest area under the curve (AUC) as ICU admission predictors with insignificant variations. The APACHE II score showed the best discriminatory power in predicting MV and mortality. Nevertheless, MEWS exhibited the highest odds ratio (OR) as an ICU predictor (OR = 2.39, and 95% confidence interval = 1.86-3.27) and as a mortality predictor (OR = 1.98, and 95% confidence interval = 1.16-4.41). REMS and MEWS were better predictors of length of hospital stay compared with the APACHE II score. The simpler, lab-independent nature and the comparable discrimination but higher odds ratio of MEWS compared with APACHE II score justify MEWS' superior utility as an outcome predictor in ACP. We recommend using either the APACHE II score or MEWS, depending on the availability of laboratory investigations, resources, and the case's urgency. Otherwise, the MEWS is a substantially feasible, economical, and bedside alternative outcome predictor in ACP.

Prognostic factors in acute poisoning with central nervous system xenobiotics: development of a nomogram predicting risk of intensive care unit admission

Background

Acute intoxication with central nervous system (CNS) xenobiotics is an increasing global problem. Predicting the prognosis of acute toxic exposure among patients can significantly alter the morbidity and mortality. The present study outlined the early risk predictors among patients diagnosed with acute exposure to CNS xenobiotics and endorsed bedside nomograms for identifying patients requiring intensive care unit (ICU) admission and those at risk of poor prognosis or death.

Methods

This study is a 6-year retrospective cohort study conducted among patients presented with acute exposure to CNS xenobiotics.

Results

A total of 143 patients' records were included, where (36.4%) were admitted to the ICU, and a significant proportion of which was due to exposure to alcohols, sedative hypnotics, psychotropic, and antidepressants (P = 0.021). ICU admission was associated with significantly lower blood pressure, pH, and HCO₃ levels and higher random blood glucose (RBG), serum urea, and creatinine levels (P < 0.05). The study findings indicate that the decision of ICU admission could be determined using a nomogram combining the initial HCO₃ level, blood pH, modified PSS, and GCS. HCO₃ level < 17.1 mEq/L, pH < 7.2, moderate-to-severe PSS, and GCS < 11 significantly predicted ICU admission. Moreover, high PSS and low HCO₃ levels significantly predicted poor prognosis and mortality. Hyperglycemia was another significant predictor of mortality. Combining initial GCS, RBG level, and HCO₃ is substantially helpful in predicting the need for ICU admission in acute alcohol intoxication.

Conclusion

The proposed nomograms yielded significant straightforward and reliable prognostic outcomes predictors in acute exposure to CNS xenobiotics.

The Relative Risk of Toxico-Clinical Parameters with respect to Poisoning Severity and Outcomes in Patients with Acute Poisoning

Background

Complications or death risk factors is necessary for better monitoring and treatment. The aim of this study was to define the relative risk of toxico-clinical parameters with regard to poisoning severity and outcomes in patients with acute poisoning.

Materials and Methods

This cross-sectional study entailed of patients with acute poisoning admitted to the poisoning emergency center of khorshid hospital, Isfahan, Iran from December 2018 until March 2019. Patients (n = 300) were categorized into four groups (minor, moderate, severe, and fatal poisoning) based on severity. Multivariate logistic regression analysis was employed to calculate the odds ratio (OR) as the estimate of the relative risk of the different variables for the poisoning severity and outcomes prediction.

Results

In the minor group, opioids/opiates, alcohols, and benzodiazepines (14.7%) were the most prevalent poisoning, multidrug (23.3%) was in the moderate and severe groups and finally, pesticides poisoning (23%) was most common in the fatal group. The predictive factors for poisoning severity were pre-hospital antidote administration [OR, (95%CI); P value) [7.08 (1.77-28.34); 0.006]; loss of consciousness [4.38 (1.84-10.42), 0.001]; abnormal ECG [4.56 (1.65-12.56); 0.003]; and time interval of poisoning to admission in the hospital [1.15 (1.02-1.28); 0.01). Patients without complications was observed in 49.7% of subjects. Patients with the loss of consciousness [66.06 (2.41-180.07); 0.01); underlying disease [3.65 (1.09-12.24); 0.03]; abnormal respiration [1.14 (1.02-1.27); 0.02); have had a greater risk of complications and death.

Conclusion

Important factors for poisoning severity and/or outcome were loss of consciousness, pre-hospital antidote administration, abnormal ECG or respiration, underlying disease, and delay to presentation to hospital.

Most adder bites in Finland's Lake District caused mild symptoms and severe poisoning was rare

AIM

This study investigated the incidence, clinical picture and treatment of paediatric adder bites in Finland's Lake District.

METHODS

Data were retrospectively collected on all children aged 0-15 years who were bitten by adders from 2006 to 2015 and treated at Tampere University Hospital. The severity was evaluated with the five-level Poisoning Severity Score.

RESULTS

We found that 109 children were treated following an adder bite, which was an incidence of 13 per 100,000 children from 0 to 15. Of these, 75 were under 8 years of age, with a median age of 3.5 years, and 34 were 8-15 years, with a median age of 10.3 years. The gender distribution was similar in both ages. Younger children were more likely to be bitten in their yards at home, whereas older children were more likely to be bitten in a forest. Older children reported more pain than younger patients. Most children were bitten on a lower limb, with minor symptoms such as localised redness and swelling, and received conservative treatment. Antivenom treatment was rarely administered and then only in severe cases or if symptoms progressed.

CONCLUSION

Adder bites mostly caused mild symptoms, severe poisoning was rare and antivenom was rarely given.

Comparison between various scoring systems in predicting the need for intensive care unit admission of acute pesticide-poisoned patients

The decision of intensive care unit (ICU) admission in acute pesticide poisoning is often challenging, especially in developing countries with limited resources. This study was conducted to compare the efficacy of the Acute Physiology and Chronic Health Evaluation II (APACHE II), Modified Early Warning Score (MEWS), and Poisoning Severity Score (PSS) in predicting ICU admission and mortality of acute pesticide-poisoned patients. This prospective cohort study included all patients admitted to Tanta University Poison Control Center with acute pesticide poisoning from the start of March 2018 to the end of March 2019. Patient data, including demographic and toxicological data, clinical examination, laboratory investigation, and score values, were collected on admission. Out of 337 acute pesticide-poisoned patients, 30.5% were admitted to the ICU, including those poisoned with aluminum phosphide (ALP) (81.5%) and organophosphates (OP) (18.5%). Most non-survivors (86.6%) were ALP poisoning. The PSS had the best discriminatory power in predicting ICU admission and mortality, followed by APACHE II and MEWS. However, no significant difference in predicting ICU admission of OP-poisoned patients was detected between the scores. Additionally, no significant difference in mortality prediction of ALP-poisoned patients was found between the PSS and APACHE II. The PSS, APACHE II, and MEWS are good discriminators for outcome prediction of acute pesticide poisoning on admission. Although the PSS showed the best performance, MEWS was simpler, more feasible, and practicable in predicting ICU admission of OP-poisoned patients. Moreover, the APACHE II has better sensitivity for mortality prediction of ALP-poisoned patients.

Assessment of the Serum Glucose/Potassium GLU/K Ratio as a Predictor of Intermediate Syndrome Following Acute Anticholinesterase Exposure

BACKGROUND

The widespread use of anticholinesterase-containing pesticides accounts for the considerable morbidity and mortality in Egypt and worldwide.

AIM

Few studies have investigated the predictors of intermediate syndrome (IMS). Therefore, in this study, we assessed the adequacy of the serum glucose/potassium (GLU/K) ratio as an early reliable tool to predict IMS incidence following intoxication with acute anticholinesterase compounds.

METHODS

A prospective cross-sectional study was conducted among patients who presented to Tanta University Poison Control Center, Egypt, and were diagnosed with acute anticholinesterase intoxication between January and August, 2021. Patients were categorized based on the primary outcome into IMS (+) and IMS (-) groups.

RESULTS

Overall, 243 patients were included, among whom 44 (18.1%) had IMS as the complication. Younger individuals with age ranging between 18 and <25 years constituted the main exposed age category in both groups. Vomiting and abdominal colic were the most commonly noted complaints in the included patients (94.2% and 63.8% of patients, respectively). The delay, length of hospital stay, mean blood pressure, O₂ saturation, Glasgow Coma Scale score, random blood glucose level, K concentration, GLU/K ratio, and dose of atropine administered were significant IMS predictors on an individual basis, and the GLU/K ratio was the most significant IMS predictor. At a cutoff value of >41.07%, the GLU/K ratio could significantly predict IMS (areas under the curves = 0.971, p < 0.001) with 93% accuracy, 93.2% sensitivity, and 93% specificity.

CONCLUSION

Although the clear pathophysiology of IMS remains to be elucidated, our results provide insight into the significant contribution of neurological affection, apart from the well-known direct toxic effect on muscles. Moreover, we demonstrated a significant association between the development of IMS and severity of organophosphorus compounds' exposure. Physicians should be vigilant to detect IMS early upon admission using the GLU/K ratio, which is a useful early IMS predictor.

Significant toxicity following an increase in poisonings with designer benzodiazepines in the Netherlands between 2010 and 2020

BACKGROUND

Designer benzodiazepines (DBs) are an emerging class of new psychoactive substances. While structurally derived from pharmaceutical benzodiazepines, their toxicological profile is less clear. We investigated time trends in the rate of DB poisonings and their clinical toxicity.

METHODS

A retrospective observational study was performed on the incidence rate of DB poisonings, relative to all recreational drug poisonings reported to the Dutch Poisons Information Center (DPIC) from 2010 to 2020. Time-trend analysis was performed using Poisson regression. A prospective cohort study was performed on toxicity of DBs, including the Poisoning Severity Score, from January 2016-June 2019. Data was collected through telephone interviews.

RESULTS

Between 2010 and 2020, the DPIC was consulted on 142 DB exposures. The incidence rate of DB exposures increased from 0.1% to 4.3%, with a year effect estimate of 1.35 (95% CI [1.14;1.54]). Twenty different DBs were reported, mostly etizolam (33%), clonazolam (17%), and flunitrazolam (8%). During consultation (often shortly after exposure), poisoning was graded moderate-severe in 29% of cases (n = 146). In the prospective cohort sample with follow-up (n = 22), 86% of cases (n = 19) showed a moderate-severe poisoning. The severity of poisoning did not differ between mono- and mixed intoxications. Frequently reported symptoms in the prospective cohort sample included drowsiness (86%), confusion (59%), and agitation (55%). Coma was observed in seven cases (32%) and respiratory depression requiring mechanical ventilation in five cases (23%).

CONCLUSION

The rate of DB poisonings reported to the DPIC strongly increased from 2010 to 2020, indicating increased (ab)use of DBs. Most DB exposures resulted in moderate-severe toxicity with neurological effects.

Predictors of poor outcomes among patients of acute methanol intoxication with particular reference to Sequential Organ Failure Assessment (SOFA) score

Methanol intoxication is a global problem with serious morbidities and mortalities. Apart from the lifelong disabilities experienced by methanol intoxication survivors, mortality rates of up to 44% of exposed patients have been reported. The aim of the current study was to outline the early findings that could be utilized as effective in-hospital outcome predictors among cases of methanol exposure. Furthermore, the role of the Sequential Organ Failure Assessment (SOFA) score was evaluated as an early in-hospital outcome indicator among patients presented with acute methanol intoxication. A multicenter study including 37 patients diagnosed with acute methanol intoxication and referred to three major poison control centers in Saudi Arabia during the past 3 years (January 1, 2018-January 1, 2021) was conducted. Data including demographics, exposure history, presenting complaints, clinical findings, and laboratory investigation were collected. The patients were scored on Glasgow Coma Scale (GCS), Poison Severity Score (PSS), and SOFA score on admission. Out of the presented patients, 83.8% were alcoholic men. No deaths have been reported, and 51.4% were discharged with unfavorable outcomes, including 29.7% suffered optic neuropathy and blindness, 18.9% showed acute renal impairment, and 10.8% were complicated with respiratory failure. The diastolic blood pressure, anion gap, visual acuity, number of hemodialysis sessions, PSS, duration of Intensive Care Unit (ICU) stay, and SOFA score were all significant organ failure predictors (P < 0.05). However, only the SOFA score showed the best significant prediction on multivariate analysis, with an odds ratio (95% confidence interval) of 0.10 (0.04-0.17) and P = 0.003. At a cutoff of greater than 4.5, the SOFA score could significantly predict unfavorable outcomes with area under curve (AUC) = 0.955, accuracy 89.2%, specificity 94.4%, and sensitivity 84.2%. Early identification of methanol exposed patients at risk is critical and lifesaving. The SOFA score is a substantially useful and early inclusive unfavorable outcome predictor.

Usefulness of a modified poisoning severity score for predicting prognosis in acute carbon monoxide poisoning

INTRODUCTION

The poisoning severity score (PSS) was developed to grade the severity of various types of poisoning. However, in its current form, it requires investigating many variables, some of which have been found not to be associated with carbon monoxide (CO) poisoning severity. Therefore, in this study, we modified the PSS for CO poisoning and compared its usefulness to that of the original PSS, as an early prognostic factor of short-term outcome in CO poisoning patients.

METHODS

This was a retrospective observational study conducted in patients with CO poisoning who visited the emergency department between January 2014 and December 2020. Patients' primary outcome was their Cerebral Performance Category (CPC) scale score at discharge, which classified those with CPC 1-2 as having a favorable outcome and those with CPC 3-5 as having a poor outcome. We calculated the patients' PSS and their CO-modified PSS by replacing blood and metabolic balance category in the original PSS with carboxyhemoglobin (COHb) and lactate levels, respectively.

RESULTS

This study included 891 patients, of which 852 (95.6%) and 39 (4.4%) were classified into the favorable and poor outcome groups, respectively. Using multivariate analysis, the PSS (odds ratio [OR], 22.961; 95% confidence interval [CI], 10.641-49.546; p < 0.001) and CO-modified PSS (OR, 28.856; 95% CI, 12.874-64.679; p < 0.001) were both found to be associated with poor outcomes at hospital discharge. The areas under the receiver operating characteristic curves for the PSS and CO-modified PSS were 0.874 (95% CI, 0.850-0.895) and 0.881 (95% CI, 0.858-0.901), respectively.

CONCLUSION

The CO-modified PSS, with fewer variables than the original PSS, was not inferior to predict poor outcomes, and if COHb level is considered together with other parameters, then it can be used both for predicting prognosis and in diagnosis.

Artificial neural network approach for acute poisoning mortality prediction in emergency departments

OBJECTIVE

The number of deaths due to acute poisoning (AP) is on the increase. It is crucial to predict AP patient mortality to identify those requiring intensive care for providing appropriate patient care as well as preserving medical resources. The aim of this study is to predict the risk of in-hospital mortality associated with AP using an artificial neural network (ANN) model.

METHODS

In this multicenter retrospective study, ANN and logistic regression models were constructed using the clinical and laboratory data of 1,304 patients seeking emergency treatment for AP. The ANN model was first trained on 912/1,304 (70%) randomly selected patients and then tested on the remaining 392/1,304 (30%). Receiver operating characteristic curve analysis was used to evaluate the mortality prediction of the two models.

RESULTS

Age, endotracheal intubation status, and intensive care unit admission were significant predictors of mortality in patients with AP in the multivariate logistic regression model. The ANN model indicated age, Glasgow Coma Scale, intensive care unit admission, and endotracheal intubation status were critical factors among the 12 independent variables related to in-hospital mortality. The area under the receiver operating characteristic curve for mortality prediction was significantly higher in the ANN model compared to the logistic regression model.

CONCLUSION

This study establishes that the ANN model could be a valuable tool for predicting the risk of death following AP. Thus, it may facilitate effective patient triage and improve the outcomes.

Does the ICU Requirement Score allow the poisoned patient to be safely managed without admission to the intensive care unit? - a validation cohort study

BACKGROUND

The Intensive care unit (ICU) Requirement Score (IRS) has been defined as identifying poisoned patients on hospital admission who do not require ICU referral, in an effort to reduce health expenses. However, this score has been poorly validated. We aimed to evaluate the IRS in a large cohort of poisoned patients.

METHODS

We performed a single-center retrospective cohort study. IRS was calculated using clinical parameters obtained on admission including age, systolic blood pressure, heart rate, Glasgow coma score, intoxication type, co-morbidities (i.e., arrhythmia, cirrhosis, and respiratory insufficiency), and the combination of the intoxication with another reason for ICU admission. We evaluated the ability of IRS < 6 determined on admission to predict the lack of need for ICU treatment, defined as the need for mechanical ventilation, vasopressors, and/or renal replacement therapy in the first 24 h post-admission and/or death during the hospital stay. This score was compared to the usual prognostic scores, i.e., SAPS II and III, SOFA score, and PSS.

RESULTS

During the 10-year study period, 2,514 poisoned patients were admitted, 1,011 excluded as requiring ICU treatment on admission, and 1,503 included. Among these patients, 232 met the endpoint whereas only 23/510 patients with IRS < 6 (4.5%) presented the endpoint and one patient died. The area under the curve of the IRS ROC curve was 0.736 (95% confidence interval (CI), 0.702-0.770). The negative predictive value of IRS < 6 was 95% (95% CI, 93-97), sensitivity 89% (95% CI, 85-93), specificity 38% (95% CI, 36-41), and positive predictive value 21% (95% CI, 18-24). IRS performance was similar to those of the other tested scores, which are however not readily available on admission.

CONCLUSION

Our data demonstrate the excellent negative predictive value of the IRS, allowing the exclusion of ICU requirements for poisoned patients with IRS < 6. IRS usefulness should be confirmed based on a prospective multicenter cohort study before extensive routine use.

Evaluation of Multiple Organ Dysfunction Score (MODS) and the Sequential Organ Failure Assessment (SOFA) score as in-hospital outcome predictors among cases of hydrogen cyanamide exposure: a cross-sectional study

Dormex is widely used as a plant growth regulator in developing countries such as Egypt as well as worldwide. Despite the widespread use of Dormex, little is known about the exact mechanism of action and toxic profile. The current study aims to outline the factors that predict in-hospital outcome and the need for intensive care unit (ICU) admission among the patients who presented with acute hydrogen cyanamide exposure as well as to evaluate the roles of the Multiple Organ Dysfunction Score (MODS) and the Sequential Organ Failure Assessment (SOFA) score as unfavorable outcome predictors. This is a retrospective cross-sectional study including all cases diagnosed with acute hydrogen cyanamide exposure who presented to the Tanta Poison Control Center during the past 6 years (January 1, 2015-January 1, 2020). Patient data were collected in a case report form, including the history of exposure, clinical data, laboratory investigations, and radiologic studies. Four scoring systems were carried out upon presentation: the Glasgow Coma Scale, poison severity score, MODS, and SOFA score. Thirty-five patients were enrolled in the current study. Most of the presented cases were males exposed unintentionally in an occupational setting. The mean participant age was 34.1 ± 15.51 years. The most common presenting complaints were throat irritation in all cases, vomiting and hallucinations presented equally in 68.6%, and headache occurred in 51.4%, whereas skin and mucous membrane burn was present in 40% of cases. Patients showing one or more of the following criteria were expected to have an urgent need for ICU admission: MODS >3.5, SOFA >4.5, length of hospital stay >30 hours, prothrombin time >14.75 seconds, serum glutamic pyruvic transaminase >67.5 U/L, and serum glutamic oxaloacetic transaminase >58.5 U/L. When the length of hospital stay was combined with the four scoring systems, only MODS yielded a significant prediction. Study results indicate that MODS and SOFA scores are considered excellent outcome predictors; MODS is more accurate, specific, and treatment independent, whereas the use of the SOFA score is more feasible with simple cardiovascular function assessment.

Development and validation of new poisoning mortality score system for patients with acute poisoning at the emergency department

Background

A prediction model of mortality for patients with acute poisoning has to consider both poisoning-related characteristics and patients’ physiological conditions; moreover, it must be applicable to patients of all ages. This study aimed to develop a scoring system for predicting in-hospital mortality of patients with acute poisoning at the emergency department (ED).

Methods

This was a retrospective analysis of the Injury Surveillance Cohort generated by the Korea Center for Disease Control and Prevention (KCDC) during 2011–2018. We developed the new-Poisoning Mortality Scoring system (new-PMS) to generate a prediction model using the derivation group (2011–2017 KCDC cohort). Points were computed for categories of each variable. The sum of these points was the new-PMS. The validation group (2018 KCDC cohort) was subjected to external temporal validation. The performance of new-PMS in predicting mortality was evaluated using area under the receiver operating characteristic curve (AUROC) for both the groups.

Results

Of 57,326 poisoning cases, 42,568 were selected. Of these, 34,352 (80.7%) and 8216 (19.3%) were enrolled in the derivation and validation groups, respectively. The new-PMS was the sum of the points for each category of 10 predictors. The possible range of the new-PMS was 0–137 points. Hosmer–Lemeshow goodness-of-fit test showed adequate calibration for the new-PMS with p values of 0.093 and 0.768 in the derivation and validation groups, respectively. AUROCs of the new-PMS were 0.941 (95% CI 0.934–0.949, p < 0.001) and 0.946 (95% CI 0.929–0.964, p < 0.001) in the derivation and validation groups, respectively. The sensitivity, specificity, and accuracy of the new-PMS (cutoff value: 49 points) were 86.4%, 87.2%, and 87.2% and 85.9%, 89.5%, and 89.4% in the derivation and validation groups, respectively.

Conclusions

We developed a new-PMS system based on demographic, poisoning-related variables, and vital signs observed among patients at the ED. The new-PMS showed good performance for predicting in-hospital mortality in both the derivation and validation groups. The probability of death increased according to the increase in the new-PMS. The new-PMS accurately predicted the probability of death for patients with acute poisoning. This could contribute to clinical decision making for patients with acute poisoning at the ED.

Prediction of zinc phosphide-induced hepatotoxicity and cardiotoxicity from clinical, laboratory, and radiological indicators

Zinc phosphide (Zn₃P₂) is a phosphine-generating pesticide. Serious hepatotoxicity or cardiotoxicity might develop late in initially stable patients. The current prospective study aimed to predict Zn₃P₂-induced hepatotoxicity and cardiotoxicity. This prospective cross-sectional study included 150 patients admitted to the Alexandria Poison Center (APC) for over 6 months (from August 2018 to January 2019). The recorded patients' data included personal data, poisoning, medical history, clinical assessment using the poisoning severity score (PSS), investigations, and the outcome. The mean age of the patients was 23.36 ± 13.53 years. Females constituted 68.7%, and 76% of the patients ingested Zn₃P₂ deliberately. Only two cases that ingested the highest amount of Zn₃P₂ had radio-opaque shadows in the abdominal plain X-ray. The peak of clinical manifestations was in 12 h, whereas the peak liver transaminases (alanine aminotransferase (ALT), aspartate aminotransferase (AST)) and cardiac enzymes (creatine phosphokinase (CPK), creatine kinase-muscle/brain (CK-MB), troponin) were in 24 h. No fatalities were reported, 56.7% are completely cured, 37.3% are discharged on consent, and 6% are discharged with elevated liver and/or cardiac enzymes. The receiver operating characteristic (ROC) curve was applied. Persistent elevation of liver enzymes after 72 h could be predicted if the ingested amount > 3.5 (accuracy 86.2%), time till hospitalization > 5 h (accuracy 85.9%), PSS > 1 with (accuracy 58.9%), AST > 50 U/L (accuracy 86.2%), or ALT > 82 U/L (accuracy 86.3%). Elevation of cardiac enzymes could be predicted if the ingested amount > 2.5 sachets (accuracy 99.5%), time till hospitalization > 5 h (accuracy 99.7%), PSS > 1 with (accuracy 61.2%), CPK > 260 U/L (accuracy 99.9%), CK-MB > 6 ng/mL (accuracy 99.7%), or troponin > 0.9 ng/mL (accuracy 99.8%).

SEVERE ACUTE TOXIC EXPOSURES IN CHILDREN AND ADOLESCENTS: CASE SERIES

OBJECTIVE

To describe a case series of severe acute toxic exposures (SATE) in individuals <20 years old followed-up by a regional Poison Control Center (PCC).

METHODS

Descriptive cross-sectional study. All patients who were <20yo and classified as score 3 (severe) and 4 (fatal) following Poisoning Severity Score were included for analysis. According to the outcome, patients were classified as PSS 3 when they developed intense clinical manifestations with risk of death or important sequelae; and as PSS 4 when death had resulted from direct cause or complication of the initial exposure. The data of patients were obtained from the Brazilian electronic database system (DATATOX).

RESULTS

During the biennium 2014-2015, Campinas PCC followed up 5,095 patients <20yo, with 30 being classified as SATE (PSS=3, n=24; PSS=4, n=6). The exposures circumstances were unintentional (15); intentional (14; suicide attempt = 11; street drugs consumption = 3); and not explained (1). The exposures were significantly more frequent in adolescents >14yo (n=17; p<0.01). The involved agents were venomous animals (8; scorpions=5); medicines (8; miscellaneous=6); chemicals (6); illegal rodenticides containing acetylcholinesterase inhibitors (chumbinho, 4); drugs of abuse (3); button battery (1). Three patients evolved with sequels (esophageal stricture post-corrosive ingestion). The median length of hospital stay was 6 days (IQR: 5-12 days); 26 patients were treated in intensive care units, and 22 of them needed mechanical ventilation; 12, inotropic/vasopressors; and 3, renal replacement therapy.

CONCLUSIONS

Scorpion stings and poisonings caused by medicines and chemicals were the main causes of SATE. The SATE were significantly more frequent in adolescents, due to deliberate self-poisoning.

The Clinical Toxicology of 4-Bromo-2,5-dimethoxyphenethylamine (2C-B): The Severity of Poisoning After Exposure to Low to Moderate and High Doses

STUDY OBJECTIVE

We studied the severity of poisoning after exposure to low to moderate and high doses of 4-bromo-2,5-dimethoxyphenethylamine (2C-B).

METHODS

Patients for whom the Dutch Poisons Information Centre was consulted for 2C-B exposure from 2016 to 2018 were included in a prospective cohort study. Data were collected through telephone interviews with the physician or patient. Patients were categorized according to the reported 2C-B dose: low to moderate (up to 20 mg), high (greater than 20 mg), or unknown. Presence of 2C-B was analyzed in leftover drug and biological samples with liquid/gas chromatography-mass spectrometry. The severity of poisoning was graded with the Poisoning Severity Score.

RESULTS

We included 59 patients, of whom 32 could be followed up. Low to moderate 2C-B doses were reported by 9 patients (28%), high doses by 17 (53%), and unknown doses by 6 (19%). Poisoning was moderate in the majority of patients in both the low- to moderate-dose and high-dose groups. Frequently reported symptoms included mydriasis, agitation or aggression, hallucinations, confusion, anxiety, hypertension, and tachycardia. The presence of 2C-B was confirmed in 5 patients in urine (n=3) or drug samples (n=4).

CONCLUSION

In this study, most 2C-B poisonings resulted in moderate toxicity even at high reported doses up to 192 mg. No severe cases were observed. The clinical course was usually short-lived (up to 24 hours) and typically involved hallucinations in addition to mild somatic effects.

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.