Electrocardiographic Changes, Mortality, and Late Period Findings in Methyl Alcohol Poisoning
Abstract
:1. Introduction
2. Materials and Methods
3. Statistical Analysis
4. Results
5. Discussion
6. Study Limitations
7. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
- Ocak, T.; Kalafat, U.M.; Basturk, M. Alcohol Poisonings. Turk. Clin. J. Emerg. Med-Spec. Top. 2016, 2, 38–43. [Google Scholar]
- Ott, J.; Gronemann, V.; Pontzen, F.; Fiedler, E.; Grossmann, G.; Kersebohm, D.B.; Weiss, G.; Witte, C. Methanol. In Ullmann’s Encyclopedia of Industrial Chemistry; Wiley-VCH Verlag GmbH & Co. KGaA: Weinheim, Germany, 2012; pp. 1–27. [Google Scholar]
- Taşkın, Ö.; Akpınar, A.A.; Dişel, N.R. Methyl Alcohol Intoxications. Anatol. J. Emerg. Med. 2022, 5, 37–42. [Google Scholar] [CrossRef]
- Jaff, Z.; McIntyre, W.F.; Yazdan-Ashoori, P.; Baranchuk, A. Impact of methanol intoxication on the human electrocardiogram. Cardiol. J. 2014, 21, 170–175. [Google Scholar] [CrossRef] [PubMed]
- Theobald, J.; Lim, C. Folate as an adjuvant therapy in methanol poisoning. Nutr. Clin. Pract. 2019, 34, 521–527. [Google Scholar] [CrossRef]
- Nikoo, M.H.; Arjangzadeh, A.; Pakfetrat, M.; Boogar, S.S.; Mohammadkarimi, V.; Ostovan, V.R.; Khodamoradi, Z.; Roozbeh, J.; Khalili, M.; Shirazi, F.K.H.; et al. Electrocardiographic findings of methanol toxicity: A cross-sectional study of 356 cases in Iran. BMC Cardiovasc. Disord. 2020, 20, 415. [Google Scholar] [CrossRef]
- Kurtas, O.; Imre, K.Y.; Ozer, E.; Can, M.; Birincioglu, İ.; Butun, C.; Kırcı, G.S.; Yıldırım, A.; Kıyak, S.; Yılmaz, R. The evaluation of deaths due to methyl alcohol intoxication. Biomed. Res. 2017, 28, 3680–3687. [Google Scholar]
- Liberski, S.; Kaluzny, B.J.; Kocięcki, J. Methanol-induced optic neuropathy: A still-present problem. Arch. Toxicol. 2022, 96, 431–451. [Google Scholar] [CrossRef] [PubMed]
- Zakharov, S.; Kotikova, K.; Nurieva, O.; Hlusicka, J.; Kacer, P.; Urban, P.; Vaneckova, M.; Seidl, Z.; Diblik, P.; Kuthan, P.; et al. Leukotriene-mediated neuroinflammation, toxic brain damage, and neurodegeneration in acute methanol poisoning. Clin. Toxicol. 2017, 55, 249–259. [Google Scholar] [CrossRef]
- Hlusicka, J.; Loster, T.; Lischkova, L.; Vaneckova, M.; Seidl, Z.; Diblik, P.; Kuthan, P.; Urban, P.; Navratil, T.; Kacer, P.; et al. Role of activation of lipid peroxidation in the mechanisms of acute methanol poisoning. Clin. Toxicol. 2018, 56, 893–903. [Google Scholar] [CrossRef]
- Schep, L.J.; Slaughter, R.J.; Vale, J.A.; Beasley, D.M. A seaman with blindness and confusion. BMJ 2009, 339, b3929. [Google Scholar] [CrossRef]
- Hovda, K.E.; Hunderi, O.H.; Rudberg, N.; Froyshov, S.; Jacobsen, D. Anion and osmolal gaps in the diagnosis of methanol poisoning: Clinical study in 28 patients. Intensive Care Med. 2004, 30, 1842–1846. [Google Scholar] [CrossRef] [PubMed]
- Sanaei-Zadeh, H.; Emamhadi, M.; Farajidana, H.; Zamani, N.; Amirfarhangi, A. Electrocardiographic manifestations in acute methanol poisoning cannot predict mortality. Arh. Hig. Rada Toksikol. 2013, 64, 79–85. [Google Scholar] [CrossRef] [PubMed]
- Nikoo, M.H.; Estedal, A.; Pakfetrat, M.; Abtahi, F.; Heydari, S.T. Mortality-related electrocardiogram indices in methanol toxicity. World J. Emerg. Med. 2022, 13, 226–228. [Google Scholar] [CrossRef] [PubMed]
- Ceasovschih, A.; Șorodoc, V.; Covantsev, S.; Balta, A.; Uzokov, J.; Kaiser, S.E.; Almaghraby, A.; Lionte, C.; Stătescu, C.; Sascău, R.A.; et al. Electrocardiogram Features in Non-Cardiac Diseases: From Mechanisms to Practical Aspects. J. Multidiscip. Healthc. 2024, 17, 1695–1719. [Google Scholar] [CrossRef] [PubMed]
- Dibajnia, P.; Sivilotti, M.L.; Juurlink, D.; Shurrab, M. ST-elevation in ethylene glycol toxicity mimicking myocardial infarction. J. Electrocardiol. 2020, 58, 128–131. [Google Scholar] [CrossRef]
- Sut, N. Sample size determination and power analysis in clinical trials. RAED J. 2011, 3, 29–33. [Google Scholar]
- Mirvis, M.D.; Goldberger, L.A. Electrocardiografía. En: Braunwald, E. Tratado deCardiología, 7th ed.; Elsevier: Madrid, Spain, 2006; pp. 107–149. [Google Scholar]
- Rautaharju, P.M.; Surawicz, B.; Gettes, L.S.; Bailey, J.J.; Childers, R.; Deal, B.J.; Gorgels, A.; Hancock, E.W.; Josephson, M.; Kligfield, P.; et al. American Heart Association Electrocardiography and Arrhythmias Committee Council on Clinical Cardiology; American College of Cardiology Foundation; Heart Rhythm Society. AHA/ACCF/HRS recommendations for the standardization and interpretation of the electrocardiogram: Part IV. The ST segment, T and U waves, and the QT interval: A scientific statement from the American Heart Association Electrocardiography and Arrhythmias Committee, Council on Clinical Cardiology; the American College of Cardiology Foundation; and the Heart Rhythm Society. Endorsed by the International Society for Computerized Electrocardiology. Circulation 2009, 119, e241–e250. [Google Scholar]
- Abdelwahab, H.M.; Nafea, O.E.; Elsherif, R.; Gharib, A.F.; Alrehaili, A.A.; Abdelhamid, W.G. Neutrophil-to-lymphocyte ratio versus platelet-to-lymphocyte ratio in predicting clinical outcomes in acute methanol poisoning. Hum. Exp. Toxicol. 2022, 41, 9603271221102504. [Google Scholar] [CrossRef] [PubMed]
- Gómez Perera, S.; Rodríguez Talavera, I.; Tapia Quijada, H.E.; Guerrero-Mártir, M.; Díaz de Aguilar Osona, M.; Falcón Roca, R. Secondary visual loss due to inhalation and cutaneous poisoning by methanol and toluene. Presentation of a clinical case. Arch. Soc. Esp. Oftalmol. (Engl. Ed.) 2020, 95, 231–235. [Google Scholar] [CrossRef]
- Pohanka, M. Toxicology and the biological role of methanol and ethanol: Current view. Biomed. Pap. Med. Fac. Univ. Palacky Olomouc Czechoslov. 2016, 160, 54–63. [Google Scholar] [CrossRef]
- Paasma, R.; Hovda, K.E.; Hassanian-Moghaddam, H.; Brahmi, N.; Afshari, R.; Sandvik, L.; Jacobsen, D. Risk factors related to poor outcome after methanol poisoning and the relation between outcome and antidotes—A multicenter study. Clin. Toxicol. 2012, 50, 823–831. [Google Scholar] [CrossRef]
- Newman, N.; Biousse, V. Diagnostic approach to vision loss. CONTINUUM Lifelong Learn. Neurol. 2014, 20, 785–815. [Google Scholar] [CrossRef] [PubMed]
- Symington, L.; Jackson, L.; Klaassen, B. Toxic alcohol but not intoxicated—A case report. Scott. Med. J. 2005, 50, 129–130. [Google Scholar] [CrossRef] [PubMed]
- Jain, N.; Himanshu, D.; Verma, S.P.; Parihar, A. Methanol poisoning: Characteristic MRI findings. Ann. Saudi Med. 2013, 33, 68–69. [Google Scholar] [CrossRef]
- Poloková, K.; Hlinomaz, O.; Panovsky, R. Acute anterior myocardial infarction caused by thrombotic occlusion of LAD in a patient with acute methanol intoxication. Interv. Akutni Kardiol. 2014, 13, 100–102. [Google Scholar]
- Ahmed, F.; Khan, N.U.; Ali, N.; Feroze, A. Methanol poisoning: 27 years experience at a tertiary care hospital. J. Pak. Med. Assoc. 2017, 67, 1751–1752. [Google Scholar]
- Zakharov, S.; Pelclova, D.; Urban, P.; Navratil, T.; Diblik, P.; Kuthan, P.; Hubacek, J.A.; Miovsky, M.; Klempir, J.; Vaneckova, M. Czech mass methanol outbreak 2012, epidemiology, challenges and clinical features. Clin. Toxicol. 2014, 52, 1013–1024. [Google Scholar] [CrossRef] [PubMed]
- Yadav, D.; Lowenfels, A.B. The epidemiology of pancreatitis and pancreatic cancer. Gastroenterology 2013, 144, 1252–1261. [Google Scholar] [CrossRef]
- Pang, Y.; Kartsonaki, C.; Turnbull, I.; Guo, Y.; Yang, L.; Bian, Z.; Chen, Y.; Millwood, I.Y.; Bragg, F.; Gong, W.; et al. Metabolic and lifestyle risk factors for acute pancreatitis in Chinese adults: A prospective cohort study of 0.5 million people. PLoS Med. 2018, 15, e1002618. [Google Scholar] [CrossRef] [PubMed]
- Petrov, M.S.; Yadav, D. Global epidemiology and holistic prevention of pancreatitis. Nat. Rev. Gastroenterol. Hepatol. 2019, 16, 175–184. [Google Scholar] [CrossRef]
- Akhgari, M.; Panahianpour, M.H.; Bazmi, E.; Etemadi-Aleagha, A.; Mahdavi, A.; Nazari, S.H. Fatal methanol poisoning: Features of liver histopathology. Toxicol. Ind. Health 2013, 29, 136–141. [Google Scholar] [CrossRef] [PubMed]
- Hlusicka, J.; Mana, J.; Vaneckova, M.; Kotikova, K.; Diblik, P.; Urban, P.; Navratil, T.; Marechal, B.; Kober, T.; Zakharov, S. MRI-based brain volumetry and retinal optical coherence tomography as the biomarkers of outcome in acute methanol poisoning. Neurotoxicology 2020, 80, 12–19. [Google Scholar] [CrossRef] [PubMed]
- Chang, S.T.; Wang, Y.T.; Hou, Y.C.; Wang, I.K.; Hong, H.H.; Weng, C.H.; Huang, W.H.; Hsu, C.W.; Yen, T.H. Acute kidney injury and the risk of mortality in patients with methanol intoxication. BMC Nephrol. 2019, 20, 205. [Google Scholar] [CrossRef] [PubMed]
- Nekoukar, Z.; Zakariaei, Z.; Taghizadeh, F.; Musavi, F.; Banimostafavi, E.S.; Sharifpour, A.; Ebrahim Ghuchi, N.; Fakhar, M.; Tabaripour, R.; Safanavaei, S. Methanol poisoning as a new world challenge: A review. Ann. Med. Surg. 2021, 66, 102445. [Google Scholar] [CrossRef] [PubMed]
- Verhelst, D.; Moulin, P.; Haufroid, V.; Wittebole, X.; Jadoul, M.; Hantson, P. Acute renal injury following methanol poisoning: Analysis of a case series. Int. J. Toxicol. 2004, 23, 267–273. [Google Scholar] [CrossRef]
- Lee, C.Y.; Chang, E.K.; Lin, J.L.; Weng, C.H.; Lee, S.Y.; Juan, K.C.; Yang, H.Y.; Lin, C.; Lee, S.H.; Wang, I.K.; et al. Risk factors for mortality in Asian Taiwanese patients with methanol poisoning. Ther. Clin. Risk Manag. 2014, 10, 61–67. [Google Scholar]
- Rafiei Tabatabaiei, M.R.; Yazdani, S.; Qorbani, M.; Shojaei Arani, L.; Faraji Dana, H. Evaluation of Electrocardiogram Changes in Patients with Methanol Poisoning. Asia Pac. J. Med. Toxicol. 2022, 12, 16–19. [Google Scholar]
- Navabi, S.J.; Eivazi, M.; Beiranvand, B. An epidemiological study of patients with methanol poisoning and the factors affecting the prognosis of patients in Imam Khomeini Hospital Kermanshah 2010–2015. Sci. J. Forensic Med. 2018, 24, 175–184. [Google Scholar]
- Smuszkiewicz, P.; Jawień, N.; Szrama, J.; Lubarska, M.; Kusza, K.; Guzik, P. Admission lactate concentration, base excess, and alactic base excess predict the 28-day inward mortality in Shock patients. J. Clin. Med. 2022, 11, 6125. [Google Scholar] [CrossRef]
- Akyol, S.A.J. Alcohols. In Tintinalli Emergency Medicine: A Comprehensive Study Guide, 7th ed.; Çete, Y., Denizbaşı, A., Çevik, A.A., Oktay, C., Atilla, R., Eds.; Nobel Printing: Istanbul, Turkey, 2013; pp. 1222–1230. [Google Scholar]
- Sivilotti, M.L.A. Methanol and Ethylene Glycol Poisoning: Pharmacology, Clinical Manifestations, and Diagnosis. Section Ed.: Burns, M.M., Hendrickson, R.G.; Deputy Ed.: Ganetsky, M. 2024. Available online: https://medilib.ir/uptodate/show/336 (accessed on 1 September 2024).
Methyl Alcohol Poisoning | ||||||
---|---|---|---|---|---|---|
All Patient n: 227 Mean ± SD | QTc Groups | p Value | ||||
Short (Less than 349 ms) n: 8 Mean ± SD | Normal (350–449 ms) n: 115 Mean ± SD | Long (Longer than 450 ms) n: 104 Mean ± SD | ||||
Age, year | 43.23 ± 11.11 | 45.44 ± 12.22 | 42.88 ± 11.52 | 43.79 ± 9.99 | 0.792 | |
Gender | Female n (%) | 8 (3.5) | 0 | 1 (0.4) | 7 (3.1) | 0.001 * |
Male n (%) | 219 (96.5) | 9 (4) | 154 (68.3) | 56 (27.8) | ||
QTc, ms | 442.77 ± 60.07 | 339.5 ± 5.42 | 388.17 ± 26.6 | 511.1 ± 16.51 | <0.001 | |
Time, hour | 19.10 ± 4.61 | 20.33 ± 4.61 | 17.22 ± 3.00 | 23.57 ± 4.79 | <0.001 | |
Blood sugar, mg/dL | 130.70 ± 32.09 | 127.89 ± 22.79 | 124.22 ± 25.43 | 147.05 ± 41.28 | <0.001 | |
Osmolarity, mmol/kg | 288.10 ± 21.84 | 293.18 ± 9.23 | 287.35 ± 25.23 | 289.21 ± 11.84 | 0.533 | |
Venous Blood Gas | pH | 7.14 ± 0.20 | 7.13 ± 0.20 | 7.23 ± 0.10 | 6.93 ± 0.22 | <0.001 |
pCO2, mmHg | 36.96 ± 4.17 | 36.00 ± 4.82 | 36.79 ± 4.11 | 37.51 ± 4.21 | 0.360 | |
pO2, mmHg | 91.14 ± 2.16 | 91.20 ± 1.45 | 91.48 ± 2.09 | 90.32 ± 2.20 | 0.002 | |
Potassium, mmol/L | 5.00 ± 0.79 | 5.45 ± 0.92 | 4.70 ± 0.56 | 5.66 ± 0.84 | <0.001 | |
Calcium, mmol/L | 1.21 ± 0.25 | 1.06 ± 0.27 | 1.21 ± 0.22 | 1.23 ± 0.32 | 0.591 | |
Sodium, mmol/L | 137.24 ± 3.50 | 137.92 ± 3.46 | 137.22 ± 3.64 | 137.19 ± 3.20 | 0.817 | |
Chlorine, mmol/L | 100.46 ± 5.75 | 100.03 ± 5.09 | 100.19 ± 5.56 | 101.21 ± 6.31 | 0.446 | |
Bicarbonate, mmol/L | 17.17 ± 4.86 | 17.32 ± 5.20 | 18.51 ± 4.37 | 13.83 ± 4.42 | <0.001 | |
Base Deficit, mmol/L | −6.21 ± 3.18 | −4.82 ± 4.02 | −5.58 ± 3.24 | −7.95 ± 2.12 | <0.001 | |
Anion Gap, mmol/L | 19.36 ± 7.31 | 21.00 ± 7.58 | 18.18 ± 6.74 | 22.05 ± 7.96 | 0.002 | |
Lactate, mmol/L | 4.82 ± 2.45 | 5.51 ± 3.25 | 4.08 ± 1.79 | 6.56 ± 2.84 | <0.001 | |
Application Complaint | Nausea/Vomiting, n (%) | 63 (27.8) | ||||
Vision Loss, n (%) | 55 (24.2) | |||||
Altered Consciousness, n (%) | 57 (25.1) | |||||
Stomach Ache, n (%) | 48 (21.1) | |||||
Electrocardiography | Normal Sinus Rhythm, n (%) | 200 (88.1) | ||||
Tachycardia, n (%) | 31 (13.7) | |||||
Bradycardia, n (%) | 8 (3.5) | |||||
Atrial Fibrillation, n (%) | 5 (2.2) | |||||
Accelerated Idioventricular Rhythm, n (%) | 3 (1.3) | |||||
Left bundle branch block, n (%) | 11 (4.8) | |||||
Right bundle branch block, n (%) | 22 (9.7) |
Mortality | ||||
---|---|---|---|---|
No n: 148 Mean ± SD | Yes n: 49 Mean ± SD | p Value | ||
Age, year | 42.80 ± 11.26 | 44.84 ± 10.54 | 0.212 | |
Gender | Female | 6 (3.4) | 2 (4.1) | 0.684 * |
Male | 172 (96.6) | 47 (95.9) | ||
QTc, ms | 423.15 ± 62.77 | 514.08 ± 5.45 | <0.001 | |
Blood sugar, mg/dL | 123.55 ± 25.40 | 156.69 ± 39.89 | <0.001 | |
pH | 7.23 ± 0.10 | 6.82 ± 0.14 | <0.001 | |
Bicarbonate, mmol/L | 18.42 ± 4.43 | 12.60 ± 3.43 | <0.001 | |
Base Deficit, mmol/L | −5.70 ± 3.33 | −6.21 ± 3.18 | <0.001 | |
Anion Gap, mmol/L | 18.23 ± 6.89 | 23.49 ± 7.37 | <0.001 | |
Lactate, mmol/L | 3.96 ± 1.79 | 7.96 ± 1.93 | <0.001 | |
Electrocardiography | Bradycardia, n (%) | 5 (10.2) | ||
Atrial Fibrillation, n (%) | 4 (8.2) | |||
Accelerated Idioventricular Rhythm, n (%) | 3 (6.1) | |||
Left bundle branch block, n (%) | 6 (12.2) | |||
Right bundle branch block, n (%) | 12 (24.5) |
Methyl Alcohol Poisoning | ||||
---|---|---|---|---|
QTc Groups | Mortality | |||
r | p Value | r | p Value | |
QTc, ms | 0.931 | <0.001 | 0.559 | <0.001 |
Time, hour | 0.507 | <0.001 | 0.700 | <0.001 |
Blood sugar, mg/dL | 0.284 | <0.001 | 0.443 | <0.001 |
pH | −0.580 | <0.001 | −0.874 | <0.001 |
pO2, mmHg | −0.211 | 0.001 | −0.115 | 0.084 |
Potassium, mmol/L | 0.411 | <0.001 | 0.788 | <0.001 |
Bicarbonate, mmol/L | −0.376 | <0.001 | −0.510 | <0.001 |
Base Deficit, mmol/L | −0.333 | <0.001 | −0.307 | <0.001 |
Anion Gap, mmol/L | 0.182 | 0.006 | 0.302 | <0.001 |
Lactate, mmol/L | 0.364 | <0.001 | 0.695 | <0.001 |
Methyl Alcohol Poisoning | |||||||
---|---|---|---|---|---|---|---|
Univariate | Multivariate | ||||||
HR | 95% Cl | p | HR | 95% Cl | p | ||
MortalityQTc Groups | Blood sugar, mg/dL | 0.081 | 0.003–0.007 | <0.001 | −0.001–0.001 | 0.536 | |
QTc, ms | 0.867 | 0.007–0.008 | <0.001 | 0.007–0.008 | <0.001 | ||
pH | 0.336 | −1.754–−1.207 | <0.001 | −0.326–0.192 | 0.611 | ||
Bicarbonate, mmol/L | 0.141 | −0.052–−0.027 | <0.001 | −0.010–0.008 | 0.844 | ||
Base Deficit, mmol/L | 0.111 | −0.073–−0.034 | <0.001 | −0.014–0.010 | 0.710 | ||
Anion Gap, mmol/L | 0.033 | 0.004–0.022 | 0.006 | −0.006- 0.004 | 0.742 | ||
Lactate, mmol/L | 0.133 | 0.050–0.101 | <0.001 | −0.023–0.012 | 0.538 | ||
Blood sugar, mg/dL | 0.196 | 0.004–0.007 | <0.001 | 0.001–0.002 | 0.001 | ||
QTc, ms | 0.313 | 0.003–0.004 | <0.001 | 0.001–0.002 | 0.013 | ||
pH | 0.764 | −1.929–−1.667 | <0.001 | −1.302–−0.965 | <0.001 | ||
Bicarbonate, mmol/L | 0.261 | −0.053–−0.034 | <0.001 | −0.010–0.002 | 0.217 | ||
Base Deficit, mmol/L | 0.094 | −0.056–−0.024 | <0.001 | 0.002–0.018 | 0.012 | ||
Anion Gap, mmol/L | 0.091 | 0.010–0.024 | <0.001 | −0.005–0.002 | 0.329 | ||
Lactate, mmol/L | 0.482 | 0.101–0.133 | <0.001 | 0.027–0.049 | <0.001 |
Methyl Alcohol Poisoning | |||||
---|---|---|---|---|---|
Treatment Application | Follow-Up | ||||
Treatment n(%) | Liquid | 227 (100) | Six-month follow-up n(%) | No | 124 (54.6) |
Ethanol | 227 (100) | Neurological deficit | 4 (1.8) | ||
Fomepizole | 56 (24.7) | Cardiac deficit | 15 (6.6) | ||
Hemodialysis | 89 (39.2) | Permanent blindness | 23 (10.1) | ||
Intubation | 56 (24.7) | Kidney failure | 6 (2.6) | ||
Pancreatitis | 6 (2.6) | ||||
Mortality (In-hospital deaths) | 49 (21.6) | ||||
Receiver Operating Characteristic (ROC) Curve analysis with variables for mortality | |||||
Mortality | Sensitivity (%) | Specificity (%) | AUC | 95% CI | p-value |
QTc, ms | 99.4 | 98.0 | 0.881 | 0.839–0.929 | <0.001 |
pH | 99.6 | 99.2 | 0.027 | 0.000–0.058 | <0.001 |
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content. |
© 2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Share and Cite
Coskun, A.; Demirci, B.; Oymak, I.; Ferhatlar, E.; Eren, S.H. Electrocardiographic Changes, Mortality, and Late Period Findings in Methyl Alcohol Poisoning. J. Clin. Med. 2024, 13, 5999. https://doi.org/10.3390/jcm13195999
Coskun A, Demirci B, Oymak I, Ferhatlar E, Eren SH. Electrocardiographic Changes, Mortality, and Late Period Findings in Methyl Alcohol Poisoning. Journal of Clinical Medicine. 2024; 13(19):5999. https://doi.org/10.3390/jcm13195999
Chicago/Turabian StyleCoskun, Abuzer, Burak Demirci, Ismail Oymak, Enes Ferhatlar, and Sevki Hakan Eren. 2024. "Electrocardiographic Changes, Mortality, and Late Period Findings in Methyl Alcohol Poisoning" Journal of Clinical Medicine 13, no. 19: 5999. https://doi.org/10.3390/jcm13195999
APA StyleCoskun, A., Demirci, B., Oymak, I., Ferhatlar, E., & Eren, S. H. (2024). Electrocardiographic Changes, Mortality, and Late Period Findings in Methyl Alcohol Poisoning. Journal of Clinical Medicine, 13(19), 5999. https://doi.org/10.3390/jcm13195999