Материалы доступны только для специалистов сферы здравоохранения.
Чтобы посмотреть материал полностью
Авторизуйтесь
или зарегистрируйтесь.
Изучение показателей клинического анализа крови как потенциальных предикторов наличия фибрилляции предсердий
Изучение показателей клинического анализа крови как потенциальных предикторов наличия фибрилляции предсердий
Плисюк А.Г., Полецков П.П., Жданова Е.А., Орлова Я.А. Изучение показателей клинического анализа крови как потенциальных предикторов наличия фибрилляции предсердий. Терапевтический архив. 2026;98(1):66–72. DOI: 10.26442/00403660.2026.01.203498
© ООО «КОНСИЛИУМ МЕДИКУМ», 2026 г.
© ООО «КОНСИЛИУМ МЕДИКУМ», 2026 г.
________________________________________________
Материалы доступны только для специалистов сферы здравоохранения.
Чтобы посмотреть материал полностью
Авторизуйтесь
или зарегистрируйтесь.
Аннотация
Цель. Оценить взаимосвязь воспалительных параметров, получаемых при проведении клинического анализа крови, и производных от них расчетных воспалительных индексов с наличием у пациентов фибрилляции предсердий (ФП).
Материалы и методы. Проведен ретроспективный анализ данных 5041 пациента в возрасте от 18 до 99 лет. Группе из 470 пациентов с ФП путем псевдорандомизации подобрана группа из 470 пациентов без ФП, сопоставимая по возрасту, полу и наличию сердечно-сосудистых заболеваний. Осуществлено сравнение групп по ключевым показателям клинического анализа крови и расчетным воспалительным индексам. Для параметров, показавших значимые различия при сравнении групп, с использованием ROC-анализа определены оптимальные пороговые значения. Для оценки предиктивной способности воспалительных параметров применен логистический регрессионный анализ с вычислением отношения шансов наличия ФП.
Результаты. При сравнении групп выявлены значимые различия: количество нейтрофилов, моноцитов, незрелых гранулоцитов, а также большинство воспалительных индексов оказались значимо выше в группе ФП, тогда как количество лимфоцитов и индекс LMR – значимо ниже. Наиболее значимыми предикторами выступили значения индексов SIRI>1,3 и LMR>4,84 (шанс наличия ФП по данным многофакторного логистического анализа увеличивался в 2,13 раза и уменьшался в 2,27 раза соответственно).
Заключение. Биомаркеры хронического системного воспаления ассоциированы с наличием ФП независимо от пола, возраста и сопутствующих заболеваний. Таким образом, определяемые в рутинных анализах крови маркеры системного воспаления имеют потенциал для использования их в качестве предикторов наличия ФП.
Ключевые слова: фибрилляция предсердий, маркеры воспаления, хроническое воспаление, клинический анализ крови, воспалительные индексы, предикторы
Materials and methods. A retrospective analysis of the data of 5,041 patients aged 18 to 99 years was conducted. A group of 470 patients without AF, comparable in age, gender, and presence of cardiovascular diseases to a group of 470 patients with AF, was selected using propensity score matching. The groups were compared by key parameters of clinical blood test and calculated inflammatory indices. For the parameters that showed significant differences when comparing groups, optimal thresholds were determined using ROC analysis. To assess the predictive ability of inflammatory parameters, a logistic regression analysis with the calculation of the odds ratio of the presence of AF was applied.
Results. When comparing the groups, the following parameters showed significant differences: the number of neutrophils, monocytes, immature granulocytes, and most inflammatory indices were significantly higher, while the number of lymphocytes and the LMR index were significantly lower in the AF group. The most significant predictors were SIRI values of more than 1.3 and LMR values of more than 4.84 (the odds of AF according to multivariate logistic analysis increased by 2.13 times and decreased by 2.27 times, respectively).
Conclusion. Biomarkers of chronic systemic inflammation were associated with the presence of AF regardless of gender, age, and concomitant diseases. Thus, markers of systemic inflammation detected in routine blood tests have the potential to be used as predictors of the presence of AF.
Keywords: atrial fibrillation, inflammatory markers, chronic inflammation, clinical blood test, inflammatory indices, predictors
Материалы и методы. Проведен ретроспективный анализ данных 5041 пациента в возрасте от 18 до 99 лет. Группе из 470 пациентов с ФП путем псевдорандомизации подобрана группа из 470 пациентов без ФП, сопоставимая по возрасту, полу и наличию сердечно-сосудистых заболеваний. Осуществлено сравнение групп по ключевым показателям клинического анализа крови и расчетным воспалительным индексам. Для параметров, показавших значимые различия при сравнении групп, с использованием ROC-анализа определены оптимальные пороговые значения. Для оценки предиктивной способности воспалительных параметров применен логистический регрессионный анализ с вычислением отношения шансов наличия ФП.
Результаты. При сравнении групп выявлены значимые различия: количество нейтрофилов, моноцитов, незрелых гранулоцитов, а также большинство воспалительных индексов оказались значимо выше в группе ФП, тогда как количество лимфоцитов и индекс LMR – значимо ниже. Наиболее значимыми предикторами выступили значения индексов SIRI>1,3 и LMR>4,84 (шанс наличия ФП по данным многофакторного логистического анализа увеличивался в 2,13 раза и уменьшался в 2,27 раза соответственно).
Заключение. Биомаркеры хронического системного воспаления ассоциированы с наличием ФП независимо от пола, возраста и сопутствующих заболеваний. Таким образом, определяемые в рутинных анализах крови маркеры системного воспаления имеют потенциал для использования их в качестве предикторов наличия ФП.
Ключевые слова: фибрилляция предсердий, маркеры воспаления, хроническое воспаление, клинический анализ крови, воспалительные индексы, предикторы
________________________________________________
Materials and methods. A retrospective analysis of the data of 5,041 patients aged 18 to 99 years was conducted. A group of 470 patients without AF, comparable in age, gender, and presence of cardiovascular diseases to a group of 470 patients with AF, was selected using propensity score matching. The groups were compared by key parameters of clinical blood test and calculated inflammatory indices. For the parameters that showed significant differences when comparing groups, optimal thresholds were determined using ROC analysis. To assess the predictive ability of inflammatory parameters, a logistic regression analysis with the calculation of the odds ratio of the presence of AF was applied.
Results. When comparing the groups, the following parameters showed significant differences: the number of neutrophils, monocytes, immature granulocytes, and most inflammatory indices were significantly higher, while the number of lymphocytes and the LMR index were significantly lower in the AF group. The most significant predictors were SIRI values of more than 1.3 and LMR values of more than 4.84 (the odds of AF according to multivariate logistic analysis increased by 2.13 times and decreased by 2.27 times, respectively).
Conclusion. Biomarkers of chronic systemic inflammation were associated with the presence of AF regardless of gender, age, and concomitant diseases. Thus, markers of systemic inflammation detected in routine blood tests have the potential to be used as predictors of the presence of AF.
Keywords: atrial fibrillation, inflammatory markers, chronic inflammation, clinical blood test, inflammatory indices, predictors
Полный текст
Список литературы
1. Мареев Ю.В., Поляков Д.С., Виноградова Н.Г., и др. ЭПОХА: Эпидемиология фибрилляции предсердий в репрезентативной выборке Европейской части Российской Федерации. Кардиология. 2022;62(4):12-9 [Mareev YuV, Polyakov DS, Vinogradova NG, et al. Epidemiology of atrial fibrillation in a representative sample of the European part of the Russian Federation. Analysis of EPOCH-CHF study. Kardiologiia. 2022;62(4):12-9 (in Russian)]. DOI:10.18087/cardio.2022.4.n1997
2. Бойцов С.А., Лукьянов М.М., Якушин С.С., и др. РЕГИСТР кардиоваскулярных заболеваний (РЕКВАЗА): диагностика, сочетанная сердечно-сосудистая патология, сопутствующие заболевания и лечение в условиях реальной амбулаторно-поликлинической практики. Кардиоваскулярная терапия и профилактика. 2014;13(6):44-50 [Boytsov SA, Luk’yanov MM, Yakushin SS, et al. Cardiovascular diseases registry (RECVAZA): diagnostics, concomitant cardiovascular pathology, comorbidities and treatment in the real outpatient-polyclinic practice. Cardiovascular Therapy and Prevention. 2014;13(6):44-50 (in Russian)]. DOI:10.15829/1728-8800-2014-6-3-8
3. Сапельников О.В., Куликов А.А., Черкашин Д.И., и др. Фибрилляция предсердий: механизмы развития, подходы и перспективы терапии. Рациональная Фармакотерапия в Кардиологии. 2020;16(1):118-25 [Sapelnikov OV, Kulikov AA, Cherkashin DI, et al. Atrial Fibrillation: Development Mechanisms, Approaches and Prospects of Therapy. Rational Pharmacotherapy in Cardiology. 2020;16(1):118-25 (in Russian)]. DOI:10.20996/1819-6446-2020-02-15
4. Коротаева А.А., Самойлова Е.В., Миндзаев Д.Р., и др. Провоспалительные цитокины при хронической сердечной недостаточности: состояние проблемы. Терапевтический архив. 2021;93(11):1389-94 [Korotaeva AA, Samoilova EV, Mindzaev DR, et al. Pro-inflammatory cytokines in chronic cardiac failure: state of problem. Terapevticheskii Arkhiv (Ter. Arkh.). 2021;93(11):1389-94 (in Russian)]. DOI:10.26442/00403660.2021.11.201170
5. Bruins P, te Velthuis H, Yazdanbakhsh AP, et al. Activation of the complement system during and after cardiopulmonary bypass surgery: postsurgery activation involves C-reactive protein and is associated with postoperative arrhythmia. Circulation. 1997;96(10):3542-8. DOI:10.1161/01.cir.96.10.3542
6. Rafaqat S, Afzal S, Khurshid H, et al.The Role of Major Inflammatory Biomarkers in the Pathogenesis of Atrial Fibrillation. J Innov Card Rhythm Manag. 2022;13(12):5265-77. DOI:10.19102/icrm.2022.13125
7. Подзолков В.И., Тарзиманова А.И., Брагина А.Е., и др. Значение матриксных металлопротеиназ в развитии фибрилляции предсердий при ожирении. Терапевтический архив. 2021;93(12):1451-6 [Podzolkov VI, Tarzimanova AI, Bragina AE, et al. The importance of matrix metalloproteinases in the development of atrial fibrillation in obesity. Terapevticheskii Arkhiv (Ter. Arkh.). 2021;93(12):1451-6 (in Russian)]. DOI:10.26442/00403660.2021.12.201178
8. Mensah GA, Arnold N, Prabhu SD, et al. Inflammation and Cardiovascular Disease: 2025 ACC Scientific Statement: A Report of the American College of Cardiology. J Am Coll Cardiol. 2025;S0735-1097(25)07555-2. DOI:10.1016/j.jacc.2025.08.047
9. Fishberger G, Mhaskar R, Cobb J, et al. New-onset postoperative atrial fibrillation is associated with perioperative inflammatory response and longer hospital stay after robotic-assisted pulmonary lobectomy. Surg Pract Sci. 2022;12:100153. DOI:10.1016/j.sipas.2022.100153
10. Rienstra M, Sun JX, Magnani JW, et al. White blood cell count and risk of incident atrial fibrillation (from the Framingham Heart Study). Am J Cardiol. 2012;109(4):533-7. DOI:10.1016/j.amjcard.2011.09.049
11. Feng Y, Liu X, Tan H. Causal association of peripheral immune cell counts and atrial fibrillation: A Mendelian randomization study. Front Cardiovasc Med. 2023;9:1042938. DOI:10.3389/fcvm.2022.1042938
12. Suzuki H, Ohira T, Takeishi Y, et al. Association between atrial fibrillation and white blood cell count after the Great East Japan Earthquake: An observational study from the Fukushima Health Management Survey. Medicine (Baltimore). 2021;100(6):e24177. DOI:10.1097/MD.0000000000024177
13. Yang X, Zhao S, Wang S, et al. Systemic inflammation indicators and risk of incident arrhythmias in 478,524 individuals: evidence from the UK Biobank cohort. BMC Med. 2023;21(1):76. DOI:10.1186/s12916-023-02770-5
14. Nyrnes A, Njølstad I, Mathiesen EB, et al. Inflammatory biomarkers as risk factors for future atrial fibrillation. An eleven-year follow-up of 6315 men and women: the Tromsø study. Gend Med. 2012;9(6):536-47.e2. DOI:10.1016/j.genm.2012.09.001
15. Dregoesc MI, Țigu AB, Bekkering S, et al. Intermediate monocytes are associated with the first major adverse cardiovascular event in patients with stable coronary artery disease. Int J Cardiol. 2024;400131780. DOI:10.1016/j.ijcard.2024.131780
16. Naser A, Sayilan S, Güven O, et al. Carga Inflamatória e Carga de Fibrilação Atrial: Uma Relação Bidirecional. Arq Bras Cardiol. 2024;121(6):e20230680. DOI:10.36660/abc.20230680
17. Li W, Song Y. Red cell distribution width to albumin ratio is a risk factor for atrial fibrillation in subjects hospitalized with coronary angiography. BMC Cardiovasc Disord. 2024;24(1):95. DOI:10.1186/s12872-024-03772-8
18. Han K, Su X, Liu J, et al. Red Cell Distribution Width as a Novel Marker for Different Types of Atrial Fibrillation in Low and High Altitude. Cardiol Res Pract. 2019;2019:6291964. DOI:10.1155/2019/6291964
19. Kaya A, Tukkan C, Alper AT, et al. Increased levels of red cell distribution width is correlated with presence of left atrial stasis in patients with non-valvular atrial fibrillation. North Clin Istanb. 2017;4(1):66-72. DOI:10.14744/nci.2017.72324
20. Huang S, Zhou Q, Guo N, et al. Association between red blood cell distribution width and in-hospital mortality in acute myocardial infarction. Medicine (Baltimore). 2021;100(15):e25404. DOI:10.1097/MD.0000000000025404
21. García-Escobar A, Lázaro-García R, Goicolea-Ruigómez J, et al. Red Blood Cell Distribution Width as a Biomarker of Red Cell Dysfunction Associated with Inflammation and Macrophage Iron Retention: A Prognostic Marker in Heart Failure and a Potential Predictor for Iron Replacement Responsiveness. Card Fail Rev. 2024;10:e17. DOI:10.15420/cfr.2024.17
22. Yu B, Wei J, Zhao J, et al. The neutrophil-to-lymphocyte ratio is a potential biomarker for the occurrence of atrial fibrillation in patients with obstructive sleep apnea: A BIOMARKER OF AF IN OSA PATIENTS. Sleep Med. 2023;110:259-67. DOI:10.1016/j.sleep.2023.08.004
23. Kutlay Ö, Yalım Z, Aktan AK. Inflammatory biomarkers derived from whole blood cell count in atrial fibrillation patients. Kardiologiia. 2023;63(8):50-5. DOI:10.18087/cardio.2023.8.n2336
24. Li Q, Nie J, Cao M, et al. Association between inflammation markers and all-cause mortality in critical ill patients with atrial fibrillation: Analysis of the Multi-Parameter Intelligent Monitoring in Intensive Care (MIMIC-IV) database. Int J Cardiol Heart Vasc. 2024;51:101372. DOI:10.1016/j.ijcha.2024.101372
25. Lin KB, Fan FH, Cai MQ, et al. Systemic immune inflammation index and system inflammation response index are potential biomarkers of atrial fibrillation among the patients presenting with ischemic stroke. Eur J Med Res. 2022;27(1):106. DOI:10.1186/s40001-022-00733-9
26. Zhao X, Huang L, Hu J, et al. The association between systemic inflammation markers and paroxysmal atrial fibrillation. BMC Cardiovasc Disord. 2024;24(1):334. DOI:10.1186/s12872-024-04004-9
27. Yu Y, Wang S, Wang P, et al. Predictive value of lymphocyte-to-monocyte ratio in critically Ill patients with atrial fibrillation: A propensity score matching analysis. J Clin Lab Anal. 2022;36(2):e24217. DOI:10.1002/jcla.24217
28. Fagundes A Jr, Ruff CT, Morrow DA, et al. Neutrophil-lymphocyte ratio and clinical outcomes in 19,697 patients with atrial fibrillation: Analyses from ENGAGE AF-TIMI 48 trial. Int J Cardiol. 2023;386:118-24. DOI:10.1016/j.ijcard.2023.05.031
29. Chi R, Shan X, Guan C, et al. Association between systemic inflammatory response index and left ventricular remodeling and systolic dysfunction in atrial fibrillation patients. BMC Cardiovasc Disord. 2023;23(1):377. DOI:10.1186/s12872-023-03403-8
30. Sayın MR, Özderya A, Konuş AH, et al. The use of systemic immune-inflammation index to predict new onset atrial fibrillation in the context of acute coronary syndrome. Kardiologiia. 2022;62(8):59-64. DOI:10.18087/cardio.2022.8.n1986
31. Wu S, Yang YM, Zhu J, et al. Impact of Baseline Neutrophil-to-Lymphocyte Ratio on Long-Term Prognosis in Patients With Atrial Fibrillation. Angiology. 2021;72(9):819-28. DOI:10.1177/00033197211000495
32. Kuş G, Çağırcı G, Bayar N, et al. Usefulness of the systemic immune-inflammation index in predicting atrial fibrillation recurrence after direct current cardioversion. Biomark Med. 2022;16(11):847-55. DOI:10.2217/bmm-2022-0120
33. Ding B, Liu P, Zhang F, et al. Predicting Values of Neutrophil-to-Lymphocyte Ratio (NLR), High-Sensitivity C-Reactive Protein (hs-CRP), and Left Atrial Diameter (LAD) in Patients with Nonvalvular Atrial Fibrillation Recurrence After Radiofrequency Ablation. Med Sci Monit. 2022;28:e934569. DOI:10.12659/MSM.934569
2. Boytsov SA, Luk’yanov MM, Yakushin SS, et al. Cardiovascular diseases registry (RECVAZA): diagnostics, concomitant cardiovascular pathology, comorbidities and treatment in the real outpatient-polyclinic practice. Cardiovascular Therapy and Prevention. 2014;13(6):44-50 (in Russian). DOI:10.15829/1728-8800-2014-6-3-8
3. Sapelnikov OV, Kulikov AA, Cherkashin DI, et al. Atrial Fibrillation: Development Mechanisms, Approaches and Prospects of Therapy. Rational Pharmacotherapy in Cardiology. 2020;16(1):118-25 (in Russian). DOI:10.20996/1819-6446-2020-02-15
4. Korotaeva AA, Samoilova EV, Mindzaev DR, et al. Pro-inflammatory cytokines in chronic cardiac failure: state of problem. Terapevticheskii Arkhiv (Ter. Arkh.). 2021;93(11):1389-94 (in Russian). DOI:10.26442/00403660.2021.11.201170
5. Bruins P, te Velthuis H, Yazdanbakhsh AP, et al. Activation of the complement system during and after cardiopulmonary bypass surgery: postsurgery activation involves C-reactive protein and is associated with postoperative arrhythmia. Circulation. 1997;96(10):3542-8. DOI:10.1161/01.cir.96.10.3542
6. Rafaqat S, Afzal S, Khurshid H, et al.The Role of Major Inflammatory Biomarkers in the Pathogenesis of Atrial Fibrillation. J Innov Card Rhythm Manag. 2022;13(12):5265-77. DOI:10.19102/icrm.2022.13125
7. Podzolkov VI, Tarzimanova AI, Bragina AE, et al. The importance of matrix metalloproteinases in the development of atrial fibrillation in obesity. Terapevticheskii Arkhiv (Ter. Arkh.). 2021;93(12):1451-6 (in Russian). DOI:10.26442/00403660.2021.12.201178
8. Mensah GA, Arnold N, Prabhu SD, et al. Inflammation and Cardiovascular Disease: 2025 ACC Scientific Statement: A Report of the American College of Cardiology. J Am Coll Cardiol. 2025;S0735-1097(25)07555-2. DOI:10.1016/j.jacc.2025.08.047
9. Fishberger G, Mhaskar R, Cobb J, et al. New-onset postoperative atrial fibrillation is associated with perioperative inflammatory response and longer hospital stay after robotic-assisted pulmonary lobectomy. Surg Pract Sci. 2022;12:100153. DOI:10.1016/j.sipas.2022.100153
10. Rienstra M, Sun JX, Magnani JW, et al. White blood cell count and risk of incident atrial fibrillation (from the Framingham Heart Study). Am J Cardiol. 2012;109(4):533-7. DOI:10.1016/j.amjcard.2011.09.049
11. Feng Y, Liu X, Tan H. Causal association of peripheral immune cell counts and atrial fibrillation: A Mendelian randomization study. Front Cardiovasc Med. 2023;9:1042938. DOI:10.3389/fcvm.2022.1042938
12. Suzuki H, Ohira T, Takeishi Y, et al. Association between atrial fibrillation and white blood cell count after the Great East Japan Earthquake: An observational study from the Fukushima Health Management Survey. Medicine (Baltimore). 2021;100(6):e24177. DOI:10.1097/MD.0000000000024177
13. Yang X, Zhao S, Wang S, et al. Systemic inflammation indicators and risk of incident arrhythmias in 478,524 individuals: evidence from the UK Biobank cohort. BMC Med. 2023;21(1):76. DOI:10.1186/s12916-023-02770-5
14. Nyrnes A, Njølstad I, Mathiesen EB, et al. Inflammatory biomarkers as risk factors for future atrial fibrillation. An eleven-year follow-up of 6315 men and women: the Tromsø study. Gend Med. 2012;9(6):536-47.e2. DOI:10.1016/j.genm.2012.09.001
15. Dregoesc MI, Țigu AB, Bekkering S, et al. Intermediate monocytes are associated with the first major adverse cardiovascular event in patients with stable coronary artery disease. Int J Cardiol. 2024;400131780. DOI:10.1016/j.ijcard.2024.131780
16. Naser A, Sayilan S, Güven O, et al. Carga Inflamatória e Carga de Fibrilação Atrial: Uma Relação Bidirecional. Arq Bras Cardiol. 2024;121(6):e20230680. DOI:10.36660/abc.20230680
17. Li W, Song Y. Red cell distribution width to albumin ratio is a risk factor for atrial fibrillation in subjects hospitalized with coronary angiography. BMC Cardiovasc Disord. 2024;24(1):95. DOI:10.1186/s12872-024-03772-8
18. Han K, Su X, Liu J, et al. Red Cell Distribution Width as a Novel Marker for Different Types of Atrial Fibrillation in Low and High Altitude. Cardiol Res Pract. 2019;2019:6291964. DOI:10.1155/2019/6291964
19. Kaya A, Tukkan C, Alper AT, et al. Increased levels of red cell distribution width is correlated with presence of left atrial stasis in patients with non-valvular atrial fibrillation. North Clin Istanb. 2017;4(1):66-72. DOI:10.14744/nci.2017.72324
20. Huang S, Zhou Q, Guo N, et al. Association between red blood cell distribution width and in-hospital mortality in acute myocardial infarction. Medicine (Baltimore). 2021;100(15):e25404. DOI:10.1097/MD.0000000000025404
21. García-Escobar A, Lázaro-García R, Goicolea-Ruigómez J, et al. Red Blood Cell Distribution Width as a Biomarker of Red Cell Dysfunction Associated with Inflammation and Macrophage Iron Retention: A Prognostic Marker in Heart Failure and a Potential Predictor for Iron Replacement Responsiveness. Card Fail Rev. 2024;10:e17. DOI:10.15420/cfr.2024.17
22. Yu B, Wei J, Zhao J, et al. The neutrophil-to-lymphocyte ratio is a potential biomarker for the occurrence of atrial fibrillation in patients with obstructive sleep apnea: A BIOMARKER OF AF IN OSA PATIENTS. Sleep Med. 2023;110:259-67. DOI:10.1016/j.sleep.2023.08.004
23. Kutlay Ö, Yalım Z, Aktan AK. Inflammatory biomarkers derived from whole blood cell count in atrial fibrillation patients. Kardiologiia. 2023;63(8):50-5. DOI:10.18087/cardio.2023.8.n2336
24. Li Q, Nie J, Cao M, et al. Association between inflammation markers and all-cause mortality in critical ill patients with atrial fibrillation: Analysis of the Multi-Parameter Intelligent Monitoring in Intensive Care (MIMIC-IV) database. Int J Cardiol Heart Vasc. 2024;51:101372. DOI:10.1016/j.ijcha.2024.101372
25. Lin KB, Fan FH, Cai MQ, et al. Systemic immune inflammation index and system inflammation response index are potential biomarkers of atrial fibrillation among the patients presenting with ischemic stroke. Eur J Med Res. 2022;27(1):106. DOI:10.1186/s40001-022-00733-9
26. Zhao X, Huang L, Hu J, et al. The association between systemic inflammation markers and paroxysmal atrial fibrillation. BMC Cardiovasc Disord. 2024;24(1):334. DOI:10.1186/s12872-024-04004-9
27. Yu Y, Wang S, Wang P, et al. Predictive value of lymphocyte-to-monocyte ratio in critically Ill patients with atrial fibrillation: A propensity score matching analysis. J Clin Lab Anal. 2022;36(2):e24217. DOI:10.1002/jcla.24217
28. Fagundes A Jr, Ruff CT, Morrow DA, et al. Neutrophil-lymphocyte ratio and clinical outcomes in 19,697 patients with atrial fibrillation: Analyses from ENGAGE AF-TIMI 48 trial. Int J Cardiol. 2023;386:118-24. DOI:10.1016/j.ijcard.2023.05.031
29. Chi R, Shan X, Guan C, et al. Association between systemic inflammatory response index and left ventricular remodeling and systolic dysfunction in atrial fibrillation patients. BMC Cardiovasc Disord. 2023;23(1):377. DOI:10.1186/s12872-023-03403-8
30. Sayın MR, Özderya A, Konuş AH, et al. The use of systemic immune-inflammation index to predict new onset atrial fibrillation in the context of acute coronary syndrome. Kardiologiia. 2022;62(8):59-64. DOI:10.18087/cardio.2022.8.n1986
31. Wu S, Yang YM, Zhu J, et al. Impact of Baseline Neutrophil-to-Lymphocyte Ratio on Long-Term Prognosis in Patients With Atrial Fibrillation. Angiology. 2021;72(9):819-28. DOI:10.1177/00033197211000495
32. Kuş G, Çağırcı G, Bayar N, et al. Usefulness of the systemic immune-inflammation index in predicting atrial fibrillation recurrence after direct current cardioversion. Biomark Med. 2022;16(11):847-55. DOI:10.2217/bmm-2022-0120
33. Ding B, Liu P, Zhang F, et al. Predicting Values of Neutrophil-to-Lymphocyte Ratio (NLR), High-Sensitivity C-Reactive Protein (hs-CRP), and Left Atrial Diameter (LAD) in Patients with Nonvalvular Atrial Fibrillation Recurrence After Radiofrequency Ablation. Med Sci Monit. 2022;28:e934569. DOI:10.12659/MSM.934569
2. Бойцов С.А., Лукьянов М.М., Якушин С.С., и др. РЕГИСТР кардиоваскулярных заболеваний (РЕКВАЗА): диагностика, сочетанная сердечно-сосудистая патология, сопутствующие заболевания и лечение в условиях реальной амбулаторно-поликлинической практики. Кардиоваскулярная терапия и профилактика. 2014;13(6):44-50 [Boytsov SA, Luk’yanov MM, Yakushin SS, et al. Cardiovascular diseases registry (RECVAZA): diagnostics, concomitant cardiovascular pathology, comorbidities and treatment in the real outpatient-polyclinic practice. Cardiovascular Therapy and Prevention. 2014;13(6):44-50 (in Russian)]. DOI:10.15829/1728-8800-2014-6-3-8
3. Сапельников О.В., Куликов А.А., Черкашин Д.И., и др. Фибрилляция предсердий: механизмы развития, подходы и перспективы терапии. Рациональная Фармакотерапия в Кардиологии. 2020;16(1):118-25 [Sapelnikov OV, Kulikov AA, Cherkashin DI, et al. Atrial Fibrillation: Development Mechanisms, Approaches and Prospects of Therapy. Rational Pharmacotherapy in Cardiology. 2020;16(1):118-25 (in Russian)]. DOI:10.20996/1819-6446-2020-02-15
4. Коротаева А.А., Самойлова Е.В., Миндзаев Д.Р., и др. Провоспалительные цитокины при хронической сердечной недостаточности: состояние проблемы. Терапевтический архив. 2021;93(11):1389-94 [Korotaeva AA, Samoilova EV, Mindzaev DR, et al. Pro-inflammatory cytokines in chronic cardiac failure: state of problem. Terapevticheskii Arkhiv (Ter. Arkh.). 2021;93(11):1389-94 (in Russian)]. DOI:10.26442/00403660.2021.11.201170
5. Bruins P, te Velthuis H, Yazdanbakhsh AP, et al. Activation of the complement system during and after cardiopulmonary bypass surgery: postsurgery activation involves C-reactive protein and is associated with postoperative arrhythmia. Circulation. 1997;96(10):3542-8. DOI:10.1161/01.cir.96.10.3542
6. Rafaqat S, Afzal S, Khurshid H, et al.The Role of Major Inflammatory Biomarkers in the Pathogenesis of Atrial Fibrillation. J Innov Card Rhythm Manag. 2022;13(12):5265-77. DOI:10.19102/icrm.2022.13125
7. Подзолков В.И., Тарзиманова А.И., Брагина А.Е., и др. Значение матриксных металлопротеиназ в развитии фибрилляции предсердий при ожирении. Терапевтический архив. 2021;93(12):1451-6 [Podzolkov VI, Tarzimanova AI, Bragina AE, et al. The importance of matrix metalloproteinases in the development of atrial fibrillation in obesity. Terapevticheskii Arkhiv (Ter. Arkh.). 2021;93(12):1451-6 (in Russian)]. DOI:10.26442/00403660.2021.12.201178
8. Mensah GA, Arnold N, Prabhu SD, et al. Inflammation and Cardiovascular Disease: 2025 ACC Scientific Statement: A Report of the American College of Cardiology. J Am Coll Cardiol. 2025;S0735-1097(25)07555-2. DOI:10.1016/j.jacc.2025.08.047
9. Fishberger G, Mhaskar R, Cobb J, et al. New-onset postoperative atrial fibrillation is associated with perioperative inflammatory response and longer hospital stay after robotic-assisted pulmonary lobectomy. Surg Pract Sci. 2022;12:100153. DOI:10.1016/j.sipas.2022.100153
10. Rienstra M, Sun JX, Magnani JW, et al. White blood cell count and risk of incident atrial fibrillation (from the Framingham Heart Study). Am J Cardiol. 2012;109(4):533-7. DOI:10.1016/j.amjcard.2011.09.049
11. Feng Y, Liu X, Tan H. Causal association of peripheral immune cell counts and atrial fibrillation: A Mendelian randomization study. Front Cardiovasc Med. 2023;9:1042938. DOI:10.3389/fcvm.2022.1042938
12. Suzuki H, Ohira T, Takeishi Y, et al. Association between atrial fibrillation and white blood cell count after the Great East Japan Earthquake: An observational study from the Fukushima Health Management Survey. Medicine (Baltimore). 2021;100(6):e24177. DOI:10.1097/MD.0000000000024177
13. Yang X, Zhao S, Wang S, et al. Systemic inflammation indicators and risk of incident arrhythmias in 478,524 individuals: evidence from the UK Biobank cohort. BMC Med. 2023;21(1):76. DOI:10.1186/s12916-023-02770-5
14. Nyrnes A, Njølstad I, Mathiesen EB, et al. Inflammatory biomarkers as risk factors for future atrial fibrillation. An eleven-year follow-up of 6315 men and women: the Tromsø study. Gend Med. 2012;9(6):536-47.e2. DOI:10.1016/j.genm.2012.09.001
15. Dregoesc MI, Țigu AB, Bekkering S, et al. Intermediate monocytes are associated with the first major adverse cardiovascular event in patients with stable coronary artery disease. Int J Cardiol. 2024;400131780. DOI:10.1016/j.ijcard.2024.131780
16. Naser A, Sayilan S, Güven O, et al. Carga Inflamatória e Carga de Fibrilação Atrial: Uma Relação Bidirecional. Arq Bras Cardiol. 2024;121(6):e20230680. DOI:10.36660/abc.20230680
17. Li W, Song Y. Red cell distribution width to albumin ratio is a risk factor for atrial fibrillation in subjects hospitalized with coronary angiography. BMC Cardiovasc Disord. 2024;24(1):95. DOI:10.1186/s12872-024-03772-8
18. Han K, Su X, Liu J, et al. Red Cell Distribution Width as a Novel Marker for Different Types of Atrial Fibrillation in Low and High Altitude. Cardiol Res Pract. 2019;2019:6291964. DOI:10.1155/2019/6291964
19. Kaya A, Tukkan C, Alper AT, et al. Increased levels of red cell distribution width is correlated with presence of left atrial stasis in patients with non-valvular atrial fibrillation. North Clin Istanb. 2017;4(1):66-72. DOI:10.14744/nci.2017.72324
20. Huang S, Zhou Q, Guo N, et al. Association between red blood cell distribution width and in-hospital mortality in acute myocardial infarction. Medicine (Baltimore). 2021;100(15):e25404. DOI:10.1097/MD.0000000000025404
21. García-Escobar A, Lázaro-García R, Goicolea-Ruigómez J, et al. Red Blood Cell Distribution Width as a Biomarker of Red Cell Dysfunction Associated with Inflammation and Macrophage Iron Retention: A Prognostic Marker in Heart Failure and a Potential Predictor for Iron Replacement Responsiveness. Card Fail Rev. 2024;10:e17. DOI:10.15420/cfr.2024.17
22. Yu B, Wei J, Zhao J, et al. The neutrophil-to-lymphocyte ratio is a potential biomarker for the occurrence of atrial fibrillation in patients with obstructive sleep apnea: A BIOMARKER OF AF IN OSA PATIENTS. Sleep Med. 2023;110:259-67. DOI:10.1016/j.sleep.2023.08.004
23. Kutlay Ö, Yalım Z, Aktan AK. Inflammatory biomarkers derived from whole blood cell count in atrial fibrillation patients. Kardiologiia. 2023;63(8):50-5. DOI:10.18087/cardio.2023.8.n2336
24. Li Q, Nie J, Cao M, et al. Association between inflammation markers and all-cause mortality in critical ill patients with atrial fibrillation: Analysis of the Multi-Parameter Intelligent Monitoring in Intensive Care (MIMIC-IV) database. Int J Cardiol Heart Vasc. 2024;51:101372. DOI:10.1016/j.ijcha.2024.101372
25. Lin KB, Fan FH, Cai MQ, et al. Systemic immune inflammation index and system inflammation response index are potential biomarkers of atrial fibrillation among the patients presenting with ischemic stroke. Eur J Med Res. 2022;27(1):106. DOI:10.1186/s40001-022-00733-9
26. Zhao X, Huang L, Hu J, et al. The association between systemic inflammation markers and paroxysmal atrial fibrillation. BMC Cardiovasc Disord. 2024;24(1):334. DOI:10.1186/s12872-024-04004-9
27. Yu Y, Wang S, Wang P, et al. Predictive value of lymphocyte-to-monocyte ratio in critically Ill patients with atrial fibrillation: A propensity score matching analysis. J Clin Lab Anal. 2022;36(2):e24217. DOI:10.1002/jcla.24217
28. Fagundes A Jr, Ruff CT, Morrow DA, et al. Neutrophil-lymphocyte ratio and clinical outcomes in 19,697 patients with atrial fibrillation: Analyses from ENGAGE AF-TIMI 48 trial. Int J Cardiol. 2023;386:118-24. DOI:10.1016/j.ijcard.2023.05.031
29. Chi R, Shan X, Guan C, et al. Association between systemic inflammatory response index and left ventricular remodeling and systolic dysfunction in atrial fibrillation patients. BMC Cardiovasc Disord. 2023;23(1):377. DOI:10.1186/s12872-023-03403-8
30. Sayın MR, Özderya A, Konuş AH, et al. The use of systemic immune-inflammation index to predict new onset atrial fibrillation in the context of acute coronary syndrome. Kardiologiia. 2022;62(8):59-64. DOI:10.18087/cardio.2022.8.n1986
31. Wu S, Yang YM, Zhu J, et al. Impact of Baseline Neutrophil-to-Lymphocyte Ratio on Long-Term Prognosis in Patients With Atrial Fibrillation. Angiology. 2021;72(9):819-28. DOI:10.1177/00033197211000495
32. Kuş G, Çağırcı G, Bayar N, et al. Usefulness of the systemic immune-inflammation index in predicting atrial fibrillation recurrence after direct current cardioversion. Biomark Med. 2022;16(11):847-55. DOI:10.2217/bmm-2022-0120
33. Ding B, Liu P, Zhang F, et al. Predicting Values of Neutrophil-to-Lymphocyte Ratio (NLR), High-Sensitivity C-Reactive Protein (hs-CRP), and Left Atrial Diameter (LAD) in Patients with Nonvalvular Atrial Fibrillation Recurrence After Radiofrequency Ablation. Med Sci Monit. 2022;28:e934569. DOI:10.12659/MSM.934569
________________________________________________
2. Boytsov SA, Luk’yanov MM, Yakushin SS, et al. Cardiovascular diseases registry (RECVAZA): diagnostics, concomitant cardiovascular pathology, comorbidities and treatment in the real outpatient-polyclinic practice. Cardiovascular Therapy and Prevention. 2014;13(6):44-50 (in Russian). DOI:10.15829/1728-8800-2014-6-3-8
3. Sapelnikov OV, Kulikov AA, Cherkashin DI, et al. Atrial Fibrillation: Development Mechanisms, Approaches and Prospects of Therapy. Rational Pharmacotherapy in Cardiology. 2020;16(1):118-25 (in Russian). DOI:10.20996/1819-6446-2020-02-15
4. Korotaeva AA, Samoilova EV, Mindzaev DR, et al. Pro-inflammatory cytokines in chronic cardiac failure: state of problem. Terapevticheskii Arkhiv (Ter. Arkh.). 2021;93(11):1389-94 (in Russian). DOI:10.26442/00403660.2021.11.201170
5. Bruins P, te Velthuis H, Yazdanbakhsh AP, et al. Activation of the complement system during and after cardiopulmonary bypass surgery: postsurgery activation involves C-reactive protein and is associated with postoperative arrhythmia. Circulation. 1997;96(10):3542-8. DOI:10.1161/01.cir.96.10.3542
6. Rafaqat S, Afzal S, Khurshid H, et al.The Role of Major Inflammatory Biomarkers in the Pathogenesis of Atrial Fibrillation. J Innov Card Rhythm Manag. 2022;13(12):5265-77. DOI:10.19102/icrm.2022.13125
7. Podzolkov VI, Tarzimanova AI, Bragina AE, et al. The importance of matrix metalloproteinases in the development of atrial fibrillation in obesity. Terapevticheskii Arkhiv (Ter. Arkh.). 2021;93(12):1451-6 (in Russian). DOI:10.26442/00403660.2021.12.201178
8. Mensah GA, Arnold N, Prabhu SD, et al. Inflammation and Cardiovascular Disease: 2025 ACC Scientific Statement: A Report of the American College of Cardiology. J Am Coll Cardiol. 2025;S0735-1097(25)07555-2. DOI:10.1016/j.jacc.2025.08.047
9. Fishberger G, Mhaskar R, Cobb J, et al. New-onset postoperative atrial fibrillation is associated with perioperative inflammatory response and longer hospital stay after robotic-assisted pulmonary lobectomy. Surg Pract Sci. 2022;12:100153. DOI:10.1016/j.sipas.2022.100153
10. Rienstra M, Sun JX, Magnani JW, et al. White blood cell count and risk of incident atrial fibrillation (from the Framingham Heart Study). Am J Cardiol. 2012;109(4):533-7. DOI:10.1016/j.amjcard.2011.09.049
11. Feng Y, Liu X, Tan H. Causal association of peripheral immune cell counts and atrial fibrillation: A Mendelian randomization study. Front Cardiovasc Med. 2023;9:1042938. DOI:10.3389/fcvm.2022.1042938
12. Suzuki H, Ohira T, Takeishi Y, et al. Association between atrial fibrillation and white blood cell count after the Great East Japan Earthquake: An observational study from the Fukushima Health Management Survey. Medicine (Baltimore). 2021;100(6):e24177. DOI:10.1097/MD.0000000000024177
13. Yang X, Zhao S, Wang S, et al. Systemic inflammation indicators and risk of incident arrhythmias in 478,524 individuals: evidence from the UK Biobank cohort. BMC Med. 2023;21(1):76. DOI:10.1186/s12916-023-02770-5
14. Nyrnes A, Njølstad I, Mathiesen EB, et al. Inflammatory biomarkers as risk factors for future atrial fibrillation. An eleven-year follow-up of 6315 men and women: the Tromsø study. Gend Med. 2012;9(6):536-47.e2. DOI:10.1016/j.genm.2012.09.001
15. Dregoesc MI, Țigu AB, Bekkering S, et al. Intermediate monocytes are associated with the first major adverse cardiovascular event in patients with stable coronary artery disease. Int J Cardiol. 2024;400131780. DOI:10.1016/j.ijcard.2024.131780
16. Naser A, Sayilan S, Güven O, et al. Carga Inflamatória e Carga de Fibrilação Atrial: Uma Relação Bidirecional. Arq Bras Cardiol. 2024;121(6):e20230680. DOI:10.36660/abc.20230680
17. Li W, Song Y. Red cell distribution width to albumin ratio is a risk factor for atrial fibrillation in subjects hospitalized with coronary angiography. BMC Cardiovasc Disord. 2024;24(1):95. DOI:10.1186/s12872-024-03772-8
18. Han K, Su X, Liu J, et al. Red Cell Distribution Width as a Novel Marker for Different Types of Atrial Fibrillation in Low and High Altitude. Cardiol Res Pract. 2019;2019:6291964. DOI:10.1155/2019/6291964
19. Kaya A, Tukkan C, Alper AT, et al. Increased levels of red cell distribution width is correlated with presence of left atrial stasis in patients with non-valvular atrial fibrillation. North Clin Istanb. 2017;4(1):66-72. DOI:10.14744/nci.2017.72324
20. Huang S, Zhou Q, Guo N, et al. Association between red blood cell distribution width and in-hospital mortality in acute myocardial infarction. Medicine (Baltimore). 2021;100(15):e25404. DOI:10.1097/MD.0000000000025404
21. García-Escobar A, Lázaro-García R, Goicolea-Ruigómez J, et al. Red Blood Cell Distribution Width as a Biomarker of Red Cell Dysfunction Associated with Inflammation and Macrophage Iron Retention: A Prognostic Marker in Heart Failure and a Potential Predictor for Iron Replacement Responsiveness. Card Fail Rev. 2024;10:e17. DOI:10.15420/cfr.2024.17
22. Yu B, Wei J, Zhao J, et al. The neutrophil-to-lymphocyte ratio is a potential biomarker for the occurrence of atrial fibrillation in patients with obstructive sleep apnea: A BIOMARKER OF AF IN OSA PATIENTS. Sleep Med. 2023;110:259-67. DOI:10.1016/j.sleep.2023.08.004
23. Kutlay Ö, Yalım Z, Aktan AK. Inflammatory biomarkers derived from whole blood cell count in atrial fibrillation patients. Kardiologiia. 2023;63(8):50-5. DOI:10.18087/cardio.2023.8.n2336
24. Li Q, Nie J, Cao M, et al. Association between inflammation markers and all-cause mortality in critical ill patients with atrial fibrillation: Analysis of the Multi-Parameter Intelligent Monitoring in Intensive Care (MIMIC-IV) database. Int J Cardiol Heart Vasc. 2024;51:101372. DOI:10.1016/j.ijcha.2024.101372
25. Lin KB, Fan FH, Cai MQ, et al. Systemic immune inflammation index and system inflammation response index are potential biomarkers of atrial fibrillation among the patients presenting with ischemic stroke. Eur J Med Res. 2022;27(1):106. DOI:10.1186/s40001-022-00733-9
26. Zhao X, Huang L, Hu J, et al. The association between systemic inflammation markers and paroxysmal atrial fibrillation. BMC Cardiovasc Disord. 2024;24(1):334. DOI:10.1186/s12872-024-04004-9
27. Yu Y, Wang S, Wang P, et al. Predictive value of lymphocyte-to-monocyte ratio in critically Ill patients with atrial fibrillation: A propensity score matching analysis. J Clin Lab Anal. 2022;36(2):e24217. DOI:10.1002/jcla.24217
28. Fagundes A Jr, Ruff CT, Morrow DA, et al. Neutrophil-lymphocyte ratio and clinical outcomes in 19,697 patients with atrial fibrillation: Analyses from ENGAGE AF-TIMI 48 trial. Int J Cardiol. 2023;386:118-24. DOI:10.1016/j.ijcard.2023.05.031
29. Chi R, Shan X, Guan C, et al. Association between systemic inflammatory response index and left ventricular remodeling and systolic dysfunction in atrial fibrillation patients. BMC Cardiovasc Disord. 2023;23(1):377. DOI:10.1186/s12872-023-03403-8
30. Sayın MR, Özderya A, Konuş AH, et al. The use of systemic immune-inflammation index to predict new onset atrial fibrillation in the context of acute coronary syndrome. Kardiologiia. 2022;62(8):59-64. DOI:10.18087/cardio.2022.8.n1986
31. Wu S, Yang YM, Zhu J, et al. Impact of Baseline Neutrophil-to-Lymphocyte Ratio on Long-Term Prognosis in Patients With Atrial Fibrillation. Angiology. 2021;72(9):819-28. DOI:10.1177/00033197211000495
32. Kuş G, Çağırcı G, Bayar N, et al. Usefulness of the systemic immune-inflammation index in predicting atrial fibrillation recurrence after direct current cardioversion. Biomark Med. 2022;16(11):847-55. DOI:10.2217/bmm-2022-0120
33. Ding B, Liu P, Zhang F, et al. Predicting Values of Neutrophil-to-Lymphocyte Ratio (NLR), High-Sensitivity C-Reactive Protein (hs-CRP), and Left Atrial Diameter (LAD) in Patients with Nonvalvular Atrial Fibrillation Recurrence After Radiofrequency Ablation. Med Sci Monit. 2022;28:e934569. DOI:10.12659/MSM.934569
Авторы
А.Г. Плисюк, П.П. Полецков*, Е.А. Жданова, Я.А. Орлова
ФГБОУ ВО «Московский государственный университет им. М.В. Ломоносова», Москва, Россия
*p.poletskov@mail.ru
Lomonosov Moscow State University, Moscow, Russia
*p.poletskov@mail.ru
ФГБОУ ВО «Московский государственный университет им. М.В. Ломоносова», Москва, Россия
*p.poletskov@mail.ru
________________________________________________
Lomonosov Moscow State University, Moscow, Russia
*p.poletskov@mail.ru
Цель портала OmniDoctor – предоставление профессиональной информации врачам, провизорам и фармацевтам.