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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.

Objective: To independently validate the predictive value of the Tanta University Risk Model for intensive care requirement in unselected poisoned patients., Method: Retrospective chart review of 293 poisoned patients. The Tanta University Risk Model was calculated as follows: Tanta University Risk Model = -1.966*Glasgow Coma Scale - 0.329*oxygen saturation - 0.212*diastolic blood pressure + 0.27*respiratory rate - 0.33*standard bicarbonate. It was then compared to a composite endpoint indicating an intensive care unit requirement (death in hospital, vasopressors, need for intubation)., Results: Nineteen of 293 patients had a complicated clinical course as defined by meeting the primary endpoint definition. Receiver operating characteristic analysis revealed the area under the curve to be 0.79 (95% confidence interval 0.73-0.83). A positive Tanta University Risk Model was defined >-73.46. Fifteen out of 84 patients with a positive Tanta University Risk Model had a complicated course, while four of 209 patients with a negative Tanta University risk model had a complicated course ( P <0.0001, Fisher's exact test). The negative predictive value of the Tanta University Risk Model was 0.98 (95% confidence interval 0.95-0.99), the sensitivity was 0.79 and that specificity was 0.75., Conclusion: Poisoned patients with a negative Tanta University Risk Model score are unlikely to need an intensive care unit level of care.

Background: Artificial intelligences (AIs) are emerging in the field of medical informatics in many areas. They are mostly used for diagnosis support in medical imaging but have potential uses in many other fields of medicine where large datasets are available., Aim: To develop an artificial intelligence (AI) "ToxNet", a machine-learning based computer-aided diagnosis (CADx) system, which aims to predict poisons based on patient's symptoms and metadata from our Poison Control Center (PCC) data. To prove its accuracy and compare it against medical doctors (MDs)., Methods: The CADx system was developed and trained using data from 781,278 calls recorded in our PCC database from 2001 to 2019. All cases were mono-intoxications. Patient symptoms and meta-information (e.g., age group, sex, etiology, toxin point of entry, weekday, etc.) were provided. In the pilot phase, the AI was trained on 10 substances, the AI's prediction was compared to naïve matching, literature matching, a multi-layer perceptron (MLP), and the graph attention network (GAT). The trained AI's accuracy was then compared to 10 medical doctors in an individual and in an identical dataset. The dataset was then expanded to 28 substances and the predictions and comparisons repeated., Results: In the pilot, the prediction performance in a set of 8995 patients with 10 substances was 0.66 ± 0.01 (F1 micro score). Our CADx system was significantly superior to naïve matching, literature matching, MLP, and GAT ( p  < 0.005). It outperformed our physicians experienced in clinical toxicology in the individual and identical dataset. In the extended dataset, our CADx system was able to predict the correct toxin in a set of 36,033 patients with 28 substances with an overall performance of 0.27 ± 0.01 (F1 micro score), also significantly superior to naïve matching, literature matching, MLP, and GAT. It also outperformed our MDs., Conclusion: Our AI trained on a large PCC database works well for poison prediction in these experiments. With further research, it might become a valuable aid for physicians in predicting unknown substances and might be the first step into AI use in PCCs.

Objective: To independently validate the predictive value of the intensive care requirement score (IRS) in unselected poisoned patients., Design: Retrospective chart review., Patients and Methods: Five hundred and seventeen out of 585 admissions for acute intoxications could be analyzed. Eleven were excluded for a condition already requiring intensive care unit (ICU) support at admission (e.g., preclinical intubation). A further 57 admissions were excluded due to missing data. The IRS was calculated using a point-scoring system including age, Glasgow Coma Scale, heart rate, type of intoxication, and preexisting conditions. It was then compared to a composite endpoint indicating an ICU requirement (death in hospital, vasopressors, need for ventilation). The endpoint and the point-scoring system were identical to the original publication of the score., Results and Conclusion: Twenty-three out of 517 patients had a complicated clinical course as defined by meeting the endpoint definition. Twenty-one out of 23 complicated courses had a positive IRS (defined as greater or equal 6 points), as compared to 255/494 patients with an uncomplicated clinical course (p < .001, Fisher's exact test). One patient (with a positive IRS) died. The negative predictive value of the IRS was 0.99 (95% CI: 0.97-1), the sensitivity was 0.91 and the specificity 0.48. In conclusion, the IRS is significantly linked to outcome. While a negative IRS virtually excludes the need for ICU care, a positive IRS has a positive predictive value too low to be used for risk stratification. The IRS could also be applied to unselected admissions of poisoned patients.

Objective: To define the demographics of German-speaking "bath salt" users., Design: Prospective web-based survey of volunteer users of "bath salts". Subject recruitment/exclusion: Participation was solicited by posts in web forums frequented by users of synthetic cathinones. An invitation to participate was also disseminated via regional drug information centers. Responses were discarded if participants refused data analysis, provided incomplete surveys, were under 18 years of age (five cases), and in case of clearly improbable answers (i.e., two cases with profanity typed in free-form input fields). Overall 96 out of 180 participants provided complete questionnaires. These were further analyzed., Results and Conclusions: 74% of respondents were male. 41% were under the age of 30 and a further 38% between 30 and 39 years old. Cathinones were used on more than 10 days in the preceding year by 62% of study subjects. The nasal and intravenous routes of administration were most often used. About 80% of respondents reported binge use. There were frequent co-administrations of opioids and opiates. The most common complication was prolonged confusion (47%). 16% had been involuntarily confined. One third had thoughts of violence and 16% acted on these thoughts either against themselves or others. About 44% reported high-risk sexual activity under the influence of cathinones. About 31% had driven or ridden a bike while intoxicated. About 6% had problems with law-enforcement for selling cathinones and 16% for crimes committed under the influence of cathinones. In conclusion, cathinone users are typically young males in their twenties and thirties. Most are experienced drug users, particularly of alcohol and opiates/opioids. The impact on society is tremendous as evidenced by high rates of self-reported violence, high-risk sexual activity, crimes, and traffic violations.

Objective: To define the characteristics of synthetic cathinone users admitted to hospital including clinical and laboratory parameters and the complications of use., Design: Retrospective single-center study of patients treated for acute cathinone intoxication and complications of cathinone use between January 2010 and January 2016., Setting: A specialized clinical toxicology unit at an academic tertiary care center in Southern Germany serving a population of about 4 million., Patients and Methods: 81 consecutive patients with laboratory-confirmed use of cathinones who presented for acute intoxication or complications of cathinone use were retrospectively analyzed., Results and Conclusions: The patients were predominantly male (64%, 52/81) with a median age of 34 years. 60 were admitted for signs of acute intoxication while 21 suffered from complications of cathinone use. 70% of acutely intoxicated patients had an increased creatinine phosphokinase. Only a minority of patients presented with a sympathomimetic toxidrome. Three patients had infectious complications, 10 prolonged psychosis, 6 rhabdomyolyses and/or kidney failure, and two patients died. Based on presentations, cathinone use has increased with the first cases seen in 2010. Opiates/opioids are the main co-ingested drugs of abuse. The pattern of cathinone use shifted from methylone in 2010/2011 to 3,4-methylenedioxypyrovalerone (MDPV) and 3-methylmethcathinone (3-MMC) in 2014/2015. We conclude that in our setting "typical" cathinone users are males in their thirties. They are seldom drug naïve and regularly co-ingest illicit drugs. Preventive measures have to be tailored to these difficult to reach patients. Present efforts to educate young clubbers in their late teens may fail to reach the pertinent demographic.

Background: Valproic acid and its metabolites - particularly valproyl-CoA - are inhibitors of the enzyme N-acetylglutamate synthetase. The amino acid l-arginine can stimulate N-acetylglutamate synthetase activity and could be potentially used therapeutically to correct hyperammonemia caused by valproate therapy or overdose. Severely valproic-acid-poisoned patients are usually treated with l-carnitine or hemodialysis in order to decrease hyperammonemia. We herein report of five cases, in which l-arginine was administered., Methods: Observational study on five cases. Patients with hyperammonemia (i.e., ammonia 80 > μg/dL) and symptoms consistent with valproate overdose (i.e., drowsiness, coma) were selected for treatment with l-arginine. Data was collected retrospectively., Results: l-Arginine decreased ammonia levels in a close temporal relation (case I ammonia in EDTA-plasma [μg/dL] decreased from 381 to 39; case II from 281 to 50; case III from 669 to 74; case IV from 447 to 56; case V from 202 to 60). In cases I and II, hemodialysis was performed and l-carnitine was given before the administration of l-arginine. In case III, hemodialysis was performed after the administration of l-arginine was already started. In cases IV and V, treatment with l-arginine was the sole measure to decrease ammonia levels in plasma., Conclusion: The results suggest that l-arginine may be beneficial in selected cases of valproate overdose complicated by hyperammonemia. l-Arginine could extend our conventional treatment options for valproic acid overdose.