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

被引:7
|
作者
El-Gharbawy, Doaa M. [1 ]
Kabbash, Ibrahim Ali [2 ]
Ghonem, Mona M. [1 ]
机构
[1] Tanta Univ, Fac Med, Dept Forens Med & Clin Toxicol, 6th Floor,Med Collages Complex,Al Geish St, Tanta 31527, Gharbia, Egypt
[2] Tanta Univ, Fac Med, Dept Publ Hlth & Community Med, Tanta, Egypt
关键词
Antipsychotic medications; Acute poisoning; Intensive care unit admission; Nomogram; Prediction; Prognosis; ATYPICAL ANTIPSYCHOTICS; INTOXICATED PATIENTS; OVERDOSE; TOXICITY; MEDICATION; QUETIAPINE; SURVIVAL; DRUGS; 1ST;
D O I
10.1093/toxres/tfad078
中图分类号
R99 [毒物学(毒理学)];
学科分类号
100405 ;
摘要
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.
引用
收藏
页码:873 / 883
页数:11
相关论文
共 50 条
  • [1] Development of a risk prediction nomogram for disposition of acute toxic exposure patients to intensive care unit
    Elgazzar, Fatma M.
    Afifi, Ahmed M.
    Shama, Mohamed Abd Elhady
    El Askary, Ahmad
    El-Sarnagawy, Ghada N.
    BASIC & CLINICAL PHARMACOLOGY & TOXICOLOGY, 2021, 129 (03) : 256 - 267
  • [2] Prognostic factors in acute poisoning with central nervous system xenobiotics: development of a nomogram predicting risk of intensive care unit admission
    Sharif, Asmaa F.
    Kasemy, Zeinab A.
    Alshabibi, Rakan A.
    Almufleh, Salem J.
    Abousamak, Fahad W.
    Alfrayan, Abdulmajeed A.
    Alshehri, Muath
    Alemies, Rakan A.
    Almuhsen, Assim S.
    AlNasser, Shahd N.
    Al-Mulhim, Khalid A.
    TOXICOLOGY RESEARCH, 2023, 12 (01) : 62 - 75
  • [3] Early prediction of mortality upon intensive care unit admission
    Yeh, Yu-Chang
    Kuo, Yu-Ting
    Kuo, Kuang-Cheng
    Cheng, Yi-Wei
    Liu, Ding-Shan
    Lai, Feipei
    Kuo, Lu-Cheng
    Lee, Tai-Ju
    Chan, Wing-Sum
    Chiu, Ching-Tang
    Tsai, Ming-Tao
    Chao, Anne
    Chou, Nai-Kuan
    Yu, Chong-Jen
    Ku, Shih-Chi
    BMC MEDICAL INFORMATICS AND DECISION MAKING, 2024, 24 (01)
  • [4] Development and validation of a risk prediction nomogram for disposition of acute clozapine intoxicated patients to intensive care unit
    Sharif, Asmaa F.
    Aouissi, Ha
    Kasemy, Zeinab A.
    Byeon, H.
    Lashin, Heba I.
    HUMAN & EXPERIMENTAL TOXICOLOGY, 2023, 42
  • [5] Development and validation of a risk prediction nomogram for disposition of acute clozapine intoxicated patients to intensive care unit
    Sharif, Asmaa F.
    Aouissi, H. A.
    Kasemy, Zeinab A.
    Byeon, H.
    Lashin, Heba I.
    HUMAN & EXPERIMENTAL TOXICOLOGY, 2023, 42
  • [6] A new in-hospital mortality prediction nomogram for intensive care unit patients with acute pancreatitis
    Huang, Sheng
    Ma, Jiawei
    Dai, Huishui
    Luo, Liang
    ARCHIVES OF MEDICAL SCIENCE, 2024, 20 (01) : 61 - 70
  • [7] Early prediction of intensive care unit admission in emergency department patients using machine learning
    Pandey, Dinesh
    Jahanabadi, Hossein
    D'Arcy, Jack
    Doherty, Suzanne
    Vo, Hung
    Jones, Daryl
    Bellomo, Rinaldo
    AUSTRALIAN CRITICAL CARE, 2025, 38 (01)
  • [8] A Nomogram for Predicting Hospital Mortality in Intensive Care Unit Patients with Acute Myocardial Infarction
    Tan, Liao
    Xu, Qian
    Shi, Ruizheng
    INTERNATIONAL JOURNAL OF GENERAL MEDICINE, 2021, 14 : 5863 - 5877
  • [9] Clinical Predictors for Intensive Care Unit Admission in Patients With Benzodiazepines Poisoning in the Emergency Department
    Lu, Chai-Yi
    Chang, Ching, I
    Huang, Hsien-Hao
    Yen, David Hung-Tsang
    JOURNAL OF ACUTE MEDICINE, 2018, 8 (04) : 168 - 178
  • [10] An acute kidney injury prediction nomogram based on neurosurgical intensive care unit profiles
    An, Shuo
    Luo, Hongliang
    Wang, Jiao
    Gong, Zhitao
    Tian, Ye
    Liu, Xuanhui
    Ma, Jun
    Jiang, Rongcai
    ANNALS OF TRANSLATIONAL MEDICINE, 2020, 8 (05)