Schiller EY, Goyal A, Mechanic OJ. Opioid overdose. Europe PMC. 2017.
Clarke SF, Dargan PI, Jones AL. Naloxone in opioid poisoning: walking the tightrope. Emerg Med J. 2005;22(9):612–6.
Article PubMed PubMed Central CAS Google Scholar
Rzasa Lynn R, Galinkin J. Naloxone dosage for opioid reversal: current evidence and clinical implications. Ther Adv Drug safe. 2018;9(1):63–88.
Wermeling DP. A response to the opioid overdose epidemic: naloxone nasal spray. Drug Deliv Transl Res. 2013;3:63–74.
Article PubMed CAS Google Scholar
Borras M, et al. fMRI measurement of CNS responses to naloxone infusion and subsequent mild noxious thermal stimuli in healthy volunteers. J Neurophysiol. 2004;91(6):2723–33.
Article PubMed CAS Google Scholar
Sadove MS, et al. Study of a narcotic antagonist—N-allyl-noroxymorphone. JAMA. 1963;183(8):666–8.
Article PubMed CAS Google Scholar
Mowry JB, et al. 2014 annual report of the american association of poison control centers’ national poison data system (NPDS): 32nd annual report. Clin Toxicol. 2015;53(10):962–1147.
Evans J, et al. Degree and duration of reversal by naloxone of effects of morphine in conscious subjects. Br Med J. 1974;2(5919):589–91.
Article PubMed PubMed Central CAS Google Scholar
Ngai S, et al. Pharmacokinetics of naloxone in rats and in man: basis for its potency and short duration of action. Anesthesiology. 1976;44(5):398–401.
Article PubMed CAS Google Scholar
Rawal N, et al. Influence of naloxone infusion on analgesia and respiratory depression following epidural morphine. Anesthesiology. 1986;64(2):194–201.
Article PubMed CAS Google Scholar
Sinha M, Sachan DK, Parthasarathi R. Artificial intelligence in clinical toxicology. In: Artificial Intelligence in Medicine. Springer; 2021. p. 1–15.
Shin S, et al. Machine learning vs. conventional statistical models for predicting heart failure readmission and mortality. ESC heart failure. 2021;8(1):106–15.
Ley C, et al. Machine learning and conventional statistics: making sense of the differences. Knee Surg Sports Traumatol Arthrosc. 2022;30(3):753–7.
Badger J, et al. Machine learning for phenotyping opioid overdose events. J Biomed Inform. 2019;94:103185.
Article PubMed PubMed Central Google Scholar
Lo-Ciganic W-H, et al. Evaluation of machine-learning algorithms for predicting opioid overdose risk among medicare beneficiaries with opioid prescriptions. JAMA Netw Open. 2019;2(3):e190968–e190968.
Article PubMed PubMed Central Google Scholar
Mehrpour O, et al. The value of machine learning for prognosis prediction of diphenhydramine exposure: National analysis of 50,000 patients in the United States. J Res Med Sci. 2023;28(1):49.
PubMed PubMed Central CAS Google Scholar
Mehrpour O, et al. Comparison of decision tree with common machine learning models for prediction of biguanide and sulfonylurea poisoning in the United States: an analysis of the National Poison Data System. BMC Med Inform Decis Mak. 2023;23(1):1–11.
Mehrpour O, et al. Utility of support vector machine and decision tree to identify the prognosis of metformin poisoning in the United States: analysis of National Poisoning Data System. BMC Pharmacol Toxicol. 2022;23(1):49.
Article PubMed PubMed Central CAS Google Scholar
Mehrpour O, et al. The role of decision tree and machine learning models for outcome prediction of bupropion exposure: A nationwide analysis of more than 14 000 patients in the United States. Basic Clin Pharmacol Toxicol. 2023;133(1):98–110.
Article PubMed CAS Google Scholar
Tang J, et al. Application of machine-learning models to predict tacrolimus stable dose in renal transplant recipients. Sci Rep. 2017;7(1):42192.
Article PubMed PubMed Central CAS Google Scholar
Ma Z, et al. Ensemble of machine learning algorithms using the stacked generalization approach to estimate the warfarin dose. PLoS ONE. 2018;13(10):e0205872.
Article PubMed PubMed Central Google Scholar
Chen SS, et al. Optimizing levothyroxine dose adjustment after thyroidectomy with a decision tree. J Surg Res. 2019;244:102–6.
Article PubMed PubMed Central CAS Google Scholar
Zhu X, et al. A machine learning approach to personalized dose adjustment of lamotrigine using noninvasive clinical parameters. Sci Rep. 2021;11(1):5568.
Article PubMed PubMed Central CAS Google Scholar
Zarei MJ, et al. Comparing two naloxone tapering methods in management of methadone intoxication; a quasi-experimental study. Arch Acad Emerg Med. 2023;11(1).
Aziz R, et al. The optimal initial dose and route of naloxone administration for successful opioid reversal: a systematic literature review. Cureus. 2024;16(1).
Trescot AM, et al. Opioid pharmacology. Pain physician. 2008;11(2S):S133.
Kirubakaran JJ, Dhanaraju M. “Toxidrome” A review. Saudi Journal of Medical and Pharmaceutical Sciences. 2019;5(3):206–12.
Powers DM. Evaluation: from precision, recall and F-measure to ROC, informedness, markedness and correlation. arXiv:2010.16061 [Peprint]. 2020. Available from: https://www.arxiv.org/abs/2010.16061. Accessed 28 Oct 2020.
Li Y, et al. Literature review on the applications of machine learning and blockchain technology in smart healthcare industry: a bibliometric analysis. J Healthc Eng. 2021;2021.
Brnabic A, Hess LM. Systematic literature review of machine learning methods used in the analysis of real-world data for patient-provider decision making. BMC Med Inform Decis Mak. 2021;21(1):1–19.
Goldfrank L, et al. A dosing nomogram for continuous infusion intravenous naloxone. Ann Emerg Med. 1986;15(5):566–70.
Article PubMed CAS Google Scholar
Clemency BM, et al. Hospital Observation Upon Reversal (HOUR) with naloxone: a prospective clinical prediction rule validation study. Acad Emerg Med. 2019;26(1):7–15.
Seidler D, et al. After antagonization of acute opiate overdose: a survey at hospitals in Vienna. Addiction. 1996;91(10):1479–87.
Article PubMed CAS Google Scholar
Christenson J, et al. Early discharge of patients with presumed opioid overdose: development of a clinical prediction rule. Acad Emerg Med. 2000;7(10):1110–8.
Article PubMed CAS Google Scholar
Vilke GM, et al. Assessment for deaths in out-of-hospital heroin overdose patients treated with naloxone who refuse transport. Acad Emerg Med. 2003;10(8):893–6.
Buajordet I, et al. Adverse events after naloxone treatment of episodes of suspected acute opioid overdose. Eur J Emerg Med. 2004;11(1):19–23.
Boyd J, et al. Recurrent opioid toxicity after pre-hospital care of presumed heroin overdose patients. Acta Anaesthesiol Scand. 2006;50(10):1266–70.
Article PubMed CAS Google Scholar
Rudolph S, et al. Prehospital treatment of opioid overdose in Copenhagen—is it safe to discharge on-scene? Resuscitation. 2011;82(11):1414–8.
Article PubMed CAS Google Scholar
Wampler DA, et al. No deaths associated with patient refusal of transport after naloxone-reversed opioid overdose. Prehosp Emerg Care. 2011;15(3):320–4.
留言 (0)