Sex Disparities Among Lithuanian Ischemic Stroke Patients According to Laboratory Findings; Comorbidities, Including COVID-19; Acute In-Hospital Complications; and Outcomes
Abstract
1. Introduction
2. Materials and Methods
Statistical Analysis
3. Results
4. Discussion
5. Limitations
6. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
- Krishnamurthi, R.V.; Moran, A.E.; Feigin, V.L.; Barker-Collo, S.; Norrving, B.; Mensah, G.A.; Taylor, S.; Naghavi, M.; Forouzanfar, M.H.; Nguyen, G.; et al. Stroke Prevalence, Mortality, and Disability-Adjusted Life Years in Adults Aged 20–64 Years in 1990–2013: Data from the Global Burden of Disease 2013 Study. Neuroepidemiology 2015, 45, 190–202. [Google Scholar] [CrossRef]
- Dylla, L.; Higgins, H.M.; Piper, C.; Poisson, S.N.; Herson, P.S.; Monte, A.A. Sex as a Biological Variable in Determining the Metabolic Changes Influencing Acute Ischemic Stroke Outcomes—Where Is the Data: A Systematic Review. Front. Neurol. 2022, 13, 1026431. [Google Scholar] [CrossRef]
- Rexrode, K.M.; Madsen, T.E.; Yu, A.Y.X.; Carcel, C.; Lichtman, J.H.; Miller, E.C. The Impact of Sex and Gender on Stroke. Circ. Res. 2022, 130, 512–528. [Google Scholar] [CrossRef]
- Feigin, V.L.; Krishnamurthi, R.V.; Parmar, P.; Norrving, B.; Mensah, G.A.; Bennett, D.A.; Barker-Collo, S.; Moran, A.E.; Sacco, R.L.; Truelsen, T.; et al. Update on the Global Burden of Ischemic and Hemorrhagic Stroke in 1990–2013: The GBD 2013 Study. Neuroepidemiology 2015, 45, 161–176. [Google Scholar] [CrossRef] [PubMed]
- Nichols, M.; Townsend, N.; Scarborough, P.; Rayner, M. Cardiovascular Disease in Europe: Epidemiological Update. Eur. Heart J. 2013, 34, 3028–3034. [Google Scholar] [CrossRef] [PubMed]
- Turc, G.; Maïer, B.; Naggara, O.; Seners, P.; Isabel, C.; Tisserand, M.; Raynouard, I.; Edjlali, M.; Calvet, D.; Baron, J.C.; et al. Clinical Scales Do Not Reliably Identify Acute Ischemic Stroke Patients with Large-Artery Occlusion. Stroke 2016, 47, 1466–1472. [Google Scholar] [CrossRef] [PubMed]
- Rastenyte, D.; Sopagiene, D.; Virviciute, D.; Jureniene, K. Diverging Trends in the Incidence and Mortality of Stroke During the Period 1986–2002: A Study from the Stroke Register in Kaunas, Lithuania. Scand. J. Public Health 2006, 34, 488–495. [Google Scholar] [CrossRef]
- World Health Organization. COVID-19 Dashboard. Available online: https://data.who.int/dashboards/covid19/cases?n=c (accessed on 29 December 2023).
- Mao, L.; Jin, H.; Wang, M.; Hu, Y.; Chen, S.; He, Q.; Chang, J.; Hong, C.; Zhou, Y.; Wang, D.; et al. Neurologic Manifestations of Hospitalized Patients with Coronavirus Disease 2019 in Wuhan, China. JAMA Neurol. 2020, 77, 683–690. [Google Scholar] [CrossRef]
- Reeves, M.J.; Bushnell, C.D.; Howard, G.; Gargano, J.W.; Duncan, P.W.; Lynch, G.; Khatiwoda, A.; Lisabeth, L. Sex Differences in Stroke: Epidemiology, Clinical Presentation, Medical Care, and Outcomes. Lancet Neurol. 2008, 7, 915–926. [Google Scholar] [CrossRef]
- Renoux, C.; Coulombe, J.; Li, L.; Ganesh, A.; Silver, L.; Rothwell, P.M.; Oxford Vascular Study. Confounding by Premorbid Functional Status in Studies of Apparent Sex Differences in Severity and Outcome of Stroke. Stroke 2017, 48, 2731–2738. [Google Scholar] [CrossRef]
- Bushnell, C.; Howard, V.J.; Lisabeth, L.; Caso, V.; Gall, S.; Kleindorfer, D.; Chaturvedi, S.; Madsen, T.E.; Demel, S.L.; Lee, S.J.; et al. Sex Differences in the Evaluation and Treatment of Acute Ischaemic Stroke. Lancet Neurol. 2018, 17, 641–650. [Google Scholar] [CrossRef]
- Carcel, C.; Wang, X.; Sandset, E.C.; Delcourt, C.; Arima, H.; Lindley, R.; Hackett, M.L.; Lavados, P.; Robinson, T.G.; Muñoz Venturelli, P.; et al. Sex Differences in Treatment and Outcome After Stroke: Pooled Analysis Including 19,000 Participants. Neurology 2019, 93, e2170–e2180. [Google Scholar] [CrossRef]
- Sadeghmousavi, S.; Rezaei, N. COVID-19 Infection and Stroke Risk. Rev. Neurosci. 2020, 32, 341–349. [Google Scholar] [CrossRef] [PubMed]
- Walter, S.; Phillips, D.; Wells, B.; Moon, R.; Bertsch, T.; Grunwald, I.Q.; Fassbender, K. Detection to Hospital Door: Gender Differences of Patients with Acute Stroke Symptoms. Front. Neurol. 2022, 13, 833933. [Google Scholar] [CrossRef] [PubMed]
- Kremer, C.; Lorenzano, S.; Kruuse, C. Editorial: Sex Differences in Cerebrovascular Diseases. Front. Neurol. 2023, 13, 1128177. [Google Scholar] [CrossRef] [PubMed]
- Reported Cases and Deaths by Country or Territory. Available online: https://www.worldometers.info/coronavirus/ (accessed on 29 November 2023).
- Mitta, N.; Sreedharan, S.E.; Sarma, S.P.; Sylaja, P.N. Women and Stroke: Different, Yet Similar. Cerebrovasc. Dis. Extra 2021, 11, 106–111. [Google Scholar] [CrossRef]
- Hanna, M.; Wabnitz, A.; Grewal, P. Sex and stroke risk factors: A review of differences and impact. J. Stroke Cerebrovasc. Dis. 2024, 33, 107624. [Google Scholar] [CrossRef]
- Subramanya, V.; Claxton, J.S.; Lutsey, P.L.; MacLehose, R.F.; Chen, L.Y.; Chamberlain, A.M.; Norby, F.L.; Alonso, A. Sex differences in treatment strategy and adverse outcomes among patients 75 and older with atrial fibrillation in the MarketScan database. BMC Cardiovasc. Disord. 2021, 21, 598. [Google Scholar] [CrossRef]
- Remfry, E.; Ardissino, M.; McCracken, C.; Szabo, L.; Neubauer, S.; Harvey, N.C.; Mamas, M.A.; Robson, J.; Petersen, S.E.; Raisi-Estabragh, Z. Sex-based differences in risk factors for incident myocardial infarction and stroke in the UK Biobank. Eur. Heart J. Qual. Care Clin. Outcomes 2024, 10, 132–142. [Google Scholar] [CrossRef]
- Ton, M.D.; Dao, P.V.; Nguyen, D.T.; Nguyen, T.H.; Tran, C.C.; Duong, H.Q.; Nguyen, H.N.; Nguyen, S.H.; Dang, D.P.; Dao, N.T.; et al. Sex disparity in stroke outcomes in a multicenter prospective stroke registry in Vietnam. Int. J. Stroke 2023, 18, 1102–1111. [Google Scholar] [CrossRef]
- Sterling, K.A.; MacLeod, M.J.; Barber, M.; Turner, M. Acute Care, Secondary Prevention, and Outcomes after Ischaemic and Haemorrhagic Stroke in Men and Women: A Data-Linkage Study. Cerebrovasc. Dis. 2025, 54, 371–378. [Google Scholar] [CrossRef] [PubMed]
- Towfighi, A.; Saver, J.L.; Engelhardt, R.; Ovbiagele, B. A midlife stroke surge among women in the United States. Neurology 2007, 69, 1898–1904. [Google Scholar] [CrossRef] [PubMed]
- Crea, F.; Battipaglia, I.; Andreotti, F. Sex differences in mechanisms, presentation and management of ischaemic heart disease. Atherosclerosis 2015, 241, 157–168. [Google Scholar] [CrossRef] [PubMed]
- Pujadas-Capmany, R.; Arboix, A.; Casañas-Muñoz, R.; Anguera-Ferrando, N. Specific cardiac disorders in 402 consecutive patients with ischaemic cardioembolic stroke. Int. J. Cardiol. 2004, 95, 129–134. [Google Scholar] [CrossRef]
- Duque, C.; Feske, S.K.; Sorond, F.A. Cerebrovascular Hemodynamics in Women. Semin. Neurol. 2017, 37, 679–688. [Google Scholar] [CrossRef]
- Alwatban, M.R.; Aaron, S.E.; Kaufman, C.S.; Barnes, J.N.; Brassard, P.; Ward, J.L.; Miller, K.B.; Howery, A.J.; Labrecque, L.; Billinger, S.A. Effects of age and sex on middle cerebral artery blood velocity and flow pulsatility index across the adult lifespan. J. Appl. Physiol. 2021, 130, 1675–1683. [Google Scholar] [CrossRef]
- Ruediger, S.L.; Koep, J.L.; Keating, S.E.; Pizzey, F.K.; Coombes, J.S.; Bailey, T.G. Effect of menopause on cerebral artery blood flow velocity and cerebrovascular reactivity: Systematic review and meta-analysis. Maturitas 2021, 148, 24–32. [Google Scholar] [CrossRef]
- Kostopoulou, A.; Zeljko, H.M.; Bogossian, H.; Ciudin, R.; Costa, F.; Heijman, J.; Kochhaeuser, S.; Manola, S.; Scherr, D.; Sohal, M.; et al. Atrial fibrillation-related stroke in women: Evidence and inequalities in epidemiology, mechanisms, clinical presentation, and management. Clin. Cardiol. 2020, 43, 14–23. [Google Scholar] [CrossRef]
- Li, F.; Zhu, L.; Zhang, J.; He, H.; Qin, Y.; Cheng, Y.; Xie, Z. Oral Contraceptive Use and Increased Risk of Stroke: A Dose-Response Meta-Analysis of Observational Studies. Front. Neurol. 2019, 10, 993. [Google Scholar] [CrossRef]
- Yong, C.M.; Tremmel, J.A.; Lansberg, M.G.; Fan, J.; Askari, M.; Turakhia, M.P. Sex Differences in Oral Anticoagulation and Outcomes of Stroke and Intracranial Bleeding in Newly Diagnosed Atrial Fibrillation. J. Amer. Heart Assoc. 2020, 9, 5. [Google Scholar] [CrossRef]
- Mauvais-Jarvis, F.; Bairey Merz, N.; Barnes, P.J.; Brinton, R.D.; Carrero, J.J.; DeMeo, D.L.; De Vries, G.J.; Epperson, C.N.; Govindan, R.; Klein, S.L.; et al. Sex and gender: Modifiers of health, disease, and medicine. Lancet 2020, 396, 565–582. [Google Scholar] [CrossRef]
- Choleris, E.; Galea, L.A.M.; Sohrabji, F.; Frick, K.M. Sex differences in the brain: Implications for behavioral and biomedical research. Neurosci. Biobehav. Rev. 2018, 85, 126–145. [Google Scholar] [CrossRef]
- Bârsan, I.C.; Iluţ, S.; Tohănean, N.; Pop, R.; Vesa, Ş.C.; Perju-Dumbravă, L. Resistin and In-Hospital Mortality in Patients with Acute Ischemic Stroke: A Prospective Study. J. Clin. Med. 2024, 13, 4889. [Google Scholar] [CrossRef]
- Colombo, D.; Mercurio, V.; Klersy, C.; Temporelli, P.; Rossi, A.; Carluccio, E.; La Rovere, M.T.; Dini, F.L.L.; Nappi, R.; Acquaro, M.; et al. The influence of sex on heart failure mortality. J. Cardiovasc. Med. Hagerstown 2024, 25, 693–699. [Google Scholar] [CrossRef] [PubMed]
- Matsushita, K.; Kojima, S.; Hirakawa, K.; Tabata, N.; Ito, M.; Yamanaga, K.; Fujisue, K.; Hoshiyama, T.; Hanatani, S.; Sueta, D.; et al. Prognostic Impact of Diabetes Mellitus on In-Hospital Mortality in Patients with Acute Myocardial Infarction Complicating Renal Dysfunction According to Age and Sex. Hell. J. Cardiol. 2023, 82, 15–25. [Google Scholar] [CrossRef] [PubMed]
- Arboix, A.; Milian, M.; Oliveres, M.; García-Eroles, L.; Massons, J. Impact of female gender on prognosis in type 2 diabetic patients with ischemic stroke. Eur. Neurol. 2006, 56, 6–12. [Google Scholar] [CrossRef] [PubMed]
- Inogés, M.; Arboix, A.; García-Eroles, L.; Sánchez-López, M.J. Gender Predicts Differences in Acute Ischemic Cardioembolic Stroke Profile: Emphasis on Woman-Specific Clinical Data and Early Outcome—The Experience of Sagrat Cor Hospital of Barcelona Stroke Registry. Medicina 2024, 60, 101. [Google Scholar] [CrossRef]
- Westphal, L.P.; Rüttener, L.; Gasser, T.; Luft, A.R.; Held, U.; Wegener, S. Sex Differences in the Pre- and In-Hospital Setting of Patients With Stroke Are Driven by Higher Age and Stroke Severity. Stroke 2025, 56, 256–264. [Google Scholar] [CrossRef]
- Weber, R.; Krogias, C.; Eyding, J.; Bartig, D.; Mes, S.H.; Katsanos, A.H.; Caso, V.; Hacke, W. Age and Sex Differences in Ischemic Stroke Treatment in a Nationwide Analysis of 1.11 Million Hospitalized Cases. Stroke 2019, 50, 3494–3502. [Google Scholar] [CrossRef]
- Hung, K.H.; Lai, J.C.; Hsu, K.N.; Hu, C.; Chang, H.C.; Chen, C.N.; Ku, H.S.; Yang, M.S.; Chen, P.H. Gender Gap and Risk Factors for Poor Stroke Outcomes: A Single Hospital-Based Prospective Cohort Study. J. Stroke Cerebrovasc. Dis. 2018, 27, 2250–2258. [Google Scholar] [CrossRef]
- Ciarambino, T.; Giannico, O.V.; Campanile, A.; Fischetti, A.; Barbagelata, E.; Ambrosino, I.; Para, O.; Politi, C.; Giordano, M. Gender differences in ischemic stroke intra-hospital mortality: A systematic review. Ital. J. Med. 2021, 15, 124–128. [Google Scholar] [CrossRef]
- Sharma, J.; Fletcher, S.; Vassallo, M. Characteristics and mortality of acute stroke patients: Are there any gender differences? J. Gend. Specif. Med. 2002, 5, 24–27. [Google Scholar]
- Purroy, F.; Vena, A.; Forné, C.; Arce, A.M.d.; Dávalos, A.; Fuentes, B.; Arenillas, J.F.; Krupinski, J.; Gómez-Choco, M.; Palomeras, E.; et al. Age- and sex-specific risk profiles and in-hospital mortality in 13,932 Spanish stroke patients. Cerebrovasc. Dis. 2019, 47, 151–164. [Google Scholar] [CrossRef]
- GBD 2021 Demographics Collaborators. Global age-sex-specific mortality, life expectancy, and population estimates in 204 countries and territories and 811 subnational locations, 1950–2021, and the impact of the COVID-19 pandemic: A comprehensive demographic analysis for the Global Burden of Disease Study 2021. Lancet 2024, 403, 1989–2056. [Google Scholar] [CrossRef]
- Bhopalwala, H.; Dewaswala, N.; Kolagatla, S.; Wisnieski, L.; Piercy, J.; Bhopalwala, A.; Moka, N. Predictors of Mortality for Patients with COVID-19 in the Rural Appalachian Region. Int. J. Gen. Med. 2022, 15, 2207–2214. [Google Scholar] [CrossRef] [PubMed] [PubMed Central]
- Bagheri, B.; Radmard, N.; Faghani-Makrani, A.; Rasouli, M. Serum Creatinine and Occurrence and Severity of Coronary Artery Disease. Med. Arch. 2019, 73, 154–156. [Google Scholar] [CrossRef] [PubMed]
- Lian, J.; Jin, X.; Hao, S.; Cai, H.; Zhang, S.; Zheng, L.; Jia, H.; Hu, J.; Gao, J.; Zhang, Y.; et al. Analysis of Epidemiological and Clinical Features in Older Patients with Coronavirus Disease 2019 (COVID-19) Outside Wuhan. Clin. Infect. Dis. 2020, 71, 740–747. [Google Scholar] [CrossRef]
- Nannoni, S.; de Groot, R.; Bell, S.; Markus, H.S. Stroke in COVID-19: A Systematic Review and Meta-Analysis. Int. J. Stroke 2021, 16, 137–149. [Google Scholar] [CrossRef]
- Twitchell, D.K.; Christensen, M.B.; Hackett, G.; Morgentaler, A.; Saad, F.; Pastuszak, A.W. Examining Male Predominance of Severe COVID-19 Outcomes: A Systematic Review. Androg. Clin. Res. Ther. 2022, 3, 41–53. [Google Scholar] [CrossRef]
- McAlpine, L.S.; Zubair, A.S.; Maran, I.; Chojecka, P.; Lleva, P.; Jasne, A.S.; Navaratnam, D.; Matouk, C.; Schindler, J.; Sheth, K.N.; et al. Ischemic Stroke, Inflammation, and Endotheliopathy in COVID-19 Patients. Stroke 2021, 52, e233–e238. [Google Scholar] [CrossRef]
- Czajkowski, K.; Broś-Konopielko, M.; Teliga-Czajkowska, J. Urinary Tract Infection in Women. Prz. Menopauzalny 2021, 20, 40–47. [Google Scholar] [CrossRef]
- Connor, J.; Madhavan, S.; Mokashi, M.; Amanuel, H.; Johnson, N.R.; Pace, L.E.; Bartz, D. Health Risks and Outcomes That Disproportionately Affect Women During the COVID-19 Pandemic: A Review. Soc. Sci. Med. 2020, 266, 113364. [Google Scholar] [CrossRef]
- Adams, H.P., Jr.; Bendixen, B.H.; Kappelle, L.J.; Biller, J.; Love, B.B.; Gordon, D.L.; Marsh, E.E., 3rd. Classification of subtype of acute ischemic stroke: Definitions for use in a multicenter clinical trial. TOAST. Trial of Org 10172 in Acute Stroke Treatment. Stroke 1993, 24, 35–41. [Google Scholar] [CrossRef]
Variables | Male | Female | p |
---|---|---|---|
Sex, n (%) | 727 (40.2) | 1082 (59.8) | |
Age in years, mean (SD) | 72.3 (11.0) | 79.7 (9.6) | <0.001 |
Age group, years (%) | |||
25–64 | 26.0 | 7.6 | <0.001 |
65–84 | 61.8 | 61.2 | 0.795 |
85+ | 12.2 | 31.2 | <0.001 |
Patients with ischemic stroke (IS) + specific comorbidities, n (%) | |||
AH | 323 (44.4) | 341 (31.5) | <0.001 |
DM | 85 (11.7) | 129 (11.9) | 0.897 |
Chronic IHD | 319 (43.9) | 612 (56.6) | <0.001 |
COVID-19 (U07), n (%) | 80 (11.0) | 86 (7.9) | 0.027 |
Number of comorbidities, mean (SD) | 1.6 (0.9) | 1.8 (1.0) | <0.001 |
In-hospital complications, n (%) | |||
Pulmonary complications | |||
J18, J96 | 72 (9.9) | 100 (9.2) | 0.638 |
Kidney complications | |||
N10, N17 | 40 (5.5) | 108 (10.0) | <0.001 |
Number of in-hospital complications, mean (SD) | 0.2 (0.5) | 0.3 (0.6) | 0.047 |
Number of patients with at least one in-hospital complication, n (%) | 121 (16.6) | 217 (20.1) | 0.068 |
Length of hospitalization, mean (SD) | 14.8 (11.9) | 14.7 (11.9) | 0.466 |
Vaccination for COVID-19, n (%) | 76 (10.5) | 87 (8.0) | 0.079 |
Number of vaccinations, n (%) | |||
1 | 9 (11.8) | 8 (9.2) | 0.581 |
2 and more | 67 (88.2) | 79 (90.8) | |
Deceased, n (%) | 111 (15.3) | 207 (19.1) | 0.034 |
Time to death, days, mean (SD) | 10.5 (11.7) | 9.1 (9.0) | 0.148 |
Laboratory findings | |||
Creatinine µmol/L, mean (SD) | 93.1 (61.4) | 83.0 (51.2) | <0.001 |
Creatinine tercile intervals | |||
I tercile | 28.1–71.4 | 18.0–62.1 | |
II tercile | 71.5–100.0 | 62.2–83.8 | <0.001 |
III tercile | 100.1–802.9 | 83.9–681.6 | |
C-reactive protein mg/L, mean (SD) | 37.8 (57.4) | 34.0 (47.3) | 0.126 |
C-reactive protein tercile intervals | |||
I tercile | 0.1–6.7 | 0.1–8.3 | |
II tercile | 6.8–34.2 | 8.4–31.4 | 0.334 |
III tercile | 34.3–405.5 | 31.5–385.6 | |
Haematocrit %, mean (SD) | 41.4 (6.0) | 38.9 (5.4) | <0.001 |
Haematocrit tercile intervals | |||
I tercile | 20.4–39.3 | 20.8–36.8 | |
II tercile | 39.4–44.1 | 36.9–41.1 | <0.001 |
III tercile | 44.2–64.5 | 41.2–57.6 |
MALE | n = 727 | FEMALE | n = 1082 | |||||
---|---|---|---|---|---|---|---|---|
Variables | Model 1 | Model 2 | Model 1 | Model 2 | ||||
HR | 95% CI | HR | 95% CI | HR | 95% CI | HR | 95% CI | |
Age | 1.02 | 0.99–1.04 | 1.02 | 1.00–1.04 | ||||
IS + comorbidities | ||||||||
AH | 1 | 1 | 1 | 1 | ||||
DM | 1.31 | 0.65–2.66 | 1.30 | 0.56–3.02 | 2.28 | 1.38–3.74 | 2.25 | 1.25–4.05 |
Chronic IHD | 2.35 | 1.47–3.74 | 1.68 | 0.94–2.98 | 1.90 | 1.32–2.73 | 1.24 | 0.80–1.91 |
COVID-19 status (Yes vs. No) | 2.94 | 1.73–5.02 | 1.53 | 1.07–2.20 | 1.20 | 0.71–2.03 | 0.95 | 0.67–1.36 |
In-hospital complications (Yes vs. No) | ||||||||
Pulmonary complications (J18, J96) | 4.89 | 3.30–7.25 | 1.91 | 1.19–3.08 | 2.89 | 2.09–3.99 | 1.26 | 0.84–1.88 |
Kidney complications (N10, N17) | 2.94 | 1.75–4.93 | 0.75 | 0.39–1.42 | 2.30 | 1.64–3.22 | 1.09 | 0.72–1.64 |
Laboratory findings, per one tercile | ||||||||
Creatinine | 1.49 | 1.13–1.95 | 1.27 | 0.94–1.71 | 1.32 | 1.08–1.61 | 1.23 | 0.99–1.53 |
C-reactive protein | 2.88 | 2.08–3.99 | 2.46 | 1.70–3.55 | 2.66 | 2.10–3.35 | 2.28 | 1.74–2.98 |
Haematocrit | 1.16 | 0.89–1.50 | 1.25 | 0.96–1.64 | 1.26 | 1.03–1.53 | 1.22 | 0.99–1.49 |
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. |
© 2025 by the authors. Published by MDPI on behalf of the Lithuanian University of Health Sciences. 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
Jasukaitienė, E.; Augustis, Š.; Šileikienė, L.; Tamošiūnas, A.; Lukšienė, D.; Šakalytė, G.; Žaliaduonytė, D.; Marcinkevičienė, K.; Krančiukaitė-Butylkinienė, D.; Radišauskas, R. Sex Disparities Among Lithuanian Ischemic Stroke Patients According to Laboratory Findings; Comorbidities, Including COVID-19; Acute In-Hospital Complications; and Outcomes. Medicina 2025, 61, 1367. https://doi.org/10.3390/medicina61081367
Jasukaitienė E, Augustis Š, Šileikienė L, Tamošiūnas A, Lukšienė D, Šakalytė G, Žaliaduonytė D, Marcinkevičienė K, Krančiukaitė-Butylkinienė D, Radišauskas R. Sex Disparities Among Lithuanian Ischemic Stroke Patients According to Laboratory Findings; Comorbidities, Including COVID-19; Acute In-Hospital Complications; and Outcomes. Medicina. 2025; 61(8):1367. https://doi.org/10.3390/medicina61081367
Chicago/Turabian StyleJasukaitienė, Erika, Šarūnas Augustis, Lolita Šileikienė, Abdonas Tamošiūnas, Dalia Lukšienė, Gintarė Šakalytė, Diana Žaliaduonytė, Karolina Marcinkevičienė, Daina Krančiukaitė-Butylkinienė, and Ričardas Radišauskas. 2025. "Sex Disparities Among Lithuanian Ischemic Stroke Patients According to Laboratory Findings; Comorbidities, Including COVID-19; Acute In-Hospital Complications; and Outcomes" Medicina 61, no. 8: 1367. https://doi.org/10.3390/medicina61081367
APA StyleJasukaitienė, E., Augustis, Š., Šileikienė, L., Tamošiūnas, A., Lukšienė, D., Šakalytė, G., Žaliaduonytė, D., Marcinkevičienė, K., Krančiukaitė-Butylkinienė, D., & Radišauskas, R. (2025). Sex Disparities Among Lithuanian Ischemic Stroke Patients According to Laboratory Findings; Comorbidities, Including COVID-19; Acute In-Hospital Complications; and Outcomes. Medicina, 61(8), 1367. https://doi.org/10.3390/medicina61081367