ВОЗМОЖНОСТИ АВТОМАТИЗИРОВАННОГО АНАЛИЗА КРОВИ В ОЦЕНКЕ НЕЙТРОФИЛЬНЫХ ГРАНУЛОЦИТОВ (ОБЗОР ЛИТЕРАТУРЫ)

Doi: 10.51620/0869-2084-2023-68-11-686-693 ISSN: 0869-2084 (Print) ISSN: 2412-1320 (Online)

Аннотация Об авторах Список литературы Ключ. слова

Аннотация

Автоматизированный клинический анализ крови не только характеризуется высокой аналитической точностью, но и предоставляет клиницисту дополнительную и часто ценную информацию в виде новых параметров. Поэтому автоматизация гематологического исследования сделала актуальной проблему интерпретации этих новых показателей. Данная статья – описательный обзор, основанный на анализе 7 обзоров и 45 оригинальных статей. В ней рассматривается диагностическая ценность новых параметров клинического анализа крови, характеризующего нейтрофильные гранулоциты – IG (незрелые гранулоциты), дельта индекс нейтрофилов (delta neutrophil index - DNI). Neut-RI (индекс реактивности), Neut-GI (индекс гранулярности), MNV (средний объем нейтрофилов). Показаны расширившиеся возможности лабораторной диагностики сепсиса и других воспалительных заболеваний, болезней крови ( миелодиспластические синдромы, гемобластозы). В частности, незрелые гранулоциты показали себя как потенциальный инновационный биомаркер тяжести COVID-19, хотя в кохрейневском обзоре, посвященному этой проблеме, в качестве информативных признаков приводятся лишь общее число лейкоцитов и нейтрофилов. Отмечая высокую диагностическую информативость «расширенных» гранулоцитарных параметров необходимо подчеркнуть, что для подтверждения их клинической ценности в диагностике сепсиса и других заболеваний необходимы более масштабные исследования. Таким образом, современный автоматизированный анализ крови содержит большое количество новых параметров нейтрофилов, которые бесспорно могут использоваться в качестве дополнительных критериев диагностики сепсиса и ряда других заболеваний. Они дают информацию не только о количестве клеток, но и их морфофункциональных особенностях. Пока большинство этих параметров носит статус исследовательских, но тем интереснее могут быть полученные в будущем результаты.

Annotation

Automated cell blood count is characterized by high analytical accuracy and provides the clinician with additional and often valuable information in the form of new parameters. Therefore, automation of hematological examination has made the problem of interpretation of new parameters. This article is a descriptive review based on the analysis of 7 reviews and 45 original articles. It examines the diagnostic value of new parameters of clinical blood analysis characterizing neutrophil granulocytes – IG (immature granulocytes), DNI - delta neutrophil index, Neut-RI (reactivity index), Neut-GI (granularity index), MNV (average volume of neutrophils). The expanded possibilities of laboratory diagnostics of sepsis, surgical and other diseases, blood diseases (myelodysplastic syndromes, hemoblastoses) are shown. For example, immature granulocytes have shown themselves to be a potential innovative biomarker of the severity of COVID-19, although in the Cochrane review devoted to this problem, only the total number of leukocytes and neutrophils is given as informative signs. Noting the high diagnostic informativeness of the "expanded" granulocyte parameters, it should be emphasized that more extensive studies are needed to confirm their clinical value in the diagnosis of sepsis and other diseases. Thus, modern automated cell blood count contains a new parameters of neutrophils, which can undoubtedly be used as additional criteria for the diagnosis of sepsis and a number of other diseases. They provide information not only about the number of cells, but also their morphofunctional features. So far, most of these parameters have the status of research, but the more interesting the results obtained in the future may be. Key words: automated cell blood count, neutrophil granulocytes, review.

Об авторах

Базарный В.В.

Список литературы

1.Ushkov B.G., Chereshnev V.A. Essays on the history of hematology. [Ocherki po istorii gematologii]. Ekaterinburg: RIO Ural`skoe otdelenie RAN; 2014. (in Russian)
2.Shim H.B., Deniset J.F., Kubes P. Neutrophils in homeostasis and tissue repair. Int. Immunol. 2022; 34(8): 399-407.
3.Altman D.G., Bland J.M. Diagnostic tests. 1: Sensitivity and specificity. BMJ. 1994; 308(6943): 1552.
4.Bazarnyi V.V., Tomilov A.F. Cytological diagnostics of blood diseases. [Tsitologicheskaya diagnostika boleznej krovi]. Ekaterinburg: Znak kachestva; 2022. (in Russian)
5.Lugovskaya S.A., Pochtar’ M.E., Pogorelov V.M. Basic research in laboratory hematology. In: Clinical laboratory diagnoctics. Vol.1. [Osnovnye issledovaniya v laboratornoy gematologii. V kn.: Klinicheskaya laboratornaya diagnostika: natsional’noe rukovodstvo. Tom 1.]. Мoscow: GEOTAR-Media; 2013: 492-519. (in Russian)
6.Kwiecień I., Rutkowska E., Gawroński K., Kulik K., Dudzik A., Zakrzewska A. et al. Usefulness of New Neutrophil-Related Hematologic Parameters in Patients with Myelodysplastic Syndrome. Cancers (Basel). 2023; 15(9): 2488.
7.Bhansaly P., Mehta S., Sharma N., Gupta E., Mehta S., Gupta S. Evaluation of Immature Granulocyte Count as the Earliest Biomarker for Sepsis. Indian J. Crit. Care Med. 2022; 26(2): 216-23.
8.Shashikumar S.P., Stanley M.D., Sadiq I., Li Q., Holder A., Clifford G.D. et al. Early sepsis detection in critical care patients using multiscale blood pressure and heart rate dynamics. J. Electrocardiol. 2017; 50: 739-43.
9.Ayres L.S., Sgnaolin V., Munhoz T.P. Immature granulocytes index as early marker of sepsis. Int. J. Lab. Hematol. 2019; 41(3): 392-6.
10.Güngör A., Göktuğ A., Tekeli A., Bodur İ., Öztürk B., Güneylioğlu M.M. et al. Evaluation of the accuracy of immature granulocyte percentage in predicting pediatric serious bacterial infection. Int. J. Lab. Hematol. 2021; 43(4): 632-7.
11.He Y., Liu Q., Wei L., Sun Z., Li W., Geng F., et al. The Value of Peripheral Blood Leukocyte Parameters in the Early Diagnosis and Clinical Prognosis of Sepsis. Int. J. Anal.Chem. 2023; 2023: 6052085.
12.Lemkus L., Lawrie D., Vaughan J. The utility of extended differential parameters as a biomarker of bacteremia at a tertiary academic hospital in persons with and without HIV infection in South Africa. PLoS One. 2022; 17(2): e0262938.
13.Wettin N., Drogies T., Kühnapfel A., Isermann B., Thome U.H. Automated Complete Blood Cell Count Using Sysmex XN-9000® in the Diagnosis of Newborn Infection. J. Clin. Med. 2022; 11(19): 5507.
14.Bedel C., Korkut M., Avci A., Uzun A. The Immature Granulocyte Count and Percentage as New Predictors of Mortality in Patients with Upper Gastrointestinal Bleeding. Indian J. Crit. Care Med. 2020; 24(9): 763–70.
15.Altiner S., Cebeci E., Sucu B.B., Col M., Ermiş İ., Senlikci A., et al. Role of immature granulocytes and total bilirubin values in the diagnosis of perforated appendicitis in patients over 65 years. Rev. Assoc. Med. Bras. (1992). 2022; 68(12): 1681-5.
16.Bozan M.B., Yazar F.M., Kale I.T., Topuz S., Bozan A.A., Boran O.F. Immature Granulocyte Count and Delta Neutrophil Index as New Predictive Factors for Axillary Metastasis of Breast Cancer. J. Coll. Physicians Surg. Pak. 2022; 32(2): 220-5.
17.Tan C., Huang Y., Zhang L., Chen J., Wang Y., Peng J., Yue Y. Predictive value of immature granulocytes for persistent systemic inflammatory response syndrome in patients with acute pancreatitis: analysis of 1 973 cases. Zhonghua Wei Zhong Bing Ji Jiu Yi Xue. 2018; 30(12): 1123-7.
18.Bedel C., Korkut M., Selvi F. New markers in predicting the severity of acute pancreatitis in the emergency department: Immature granulocyte count and percentage. J. Postgrad. Med. 2021; 67(1): 7-11.
19.Ünsal A., Öztürk D., Buluş H., Turhan V.B. Predictive value of immature granulocyte and delta neutrophil index in the diagnosis of complicated acute cholecystitis. Eur. Rev. Med. Pharmacol. Sci. 2022; 26(18): 6505-11.
20.Cetın N., Kocaturk E., Tufan A.K., Kıraz Z.K., Alatas O. Immature granulocytes as biomarkers of inflammation in children with predialysis chronic kidney disease. Pediatr. Nephrol. 2023; 38(1): 219-25.
21.Karahan F., Ünal S., Topçu D.B., Öztaş Y., Bozlu G. The role of immature granulocyte percentage in predicting acute chest syndrome and the severity of the vaso-occlusive crisis in sickle cell disease. Turk. J. Pediatr. 2022; 64(1): 92-7.
22.Wan M., Lu Y., Mao B., Yu S., Ju P., Hu K. et al. Immature neutrophil is associated with coronary plaque vulnerability based on optical coherence tomography analysis. Int. J. Cardiol. 2023; 374: 89-93.
23.Monteiro Júnior J.G.M., de Oliveira Cipriano Torres D., Filho D.C.S. Hematological Parameters as Prognostic Biomarkers in Patients with Cardiovascular Diseases. Curr. Cardiol. Rev. 2019; 15(4): 274-82.
24.Prabu N.R., Patil V.P.. Is Immature Granulocyte Count a Potential Prognostic Marker for Upper Gastrointestinal Tract Bleeding? A New Road to Explore. Indian J. Crit. Care Med. 2020; 24(9): 750-2.
25.Sengul S., Kubat M., Guler Y., Calis H., Karabulut Z. Utility of immature granulocyte in severity of helicobacter pylori infection. Indian J. Pathol. Microbiol. 2022; 65(2): 316-20.
26.Rosenfeld C.R., Shafer G., Scheid L.M., Brown L.S. Screening and Serial Neutrophil Counts Do Not Contribute to the Recognition or Diagnosis of Late-Onset Neonatal Sepsis. J. Pediatr. 2019; 205: 105-11.
27.Lee J., Gu J., Seo J.E., Kim J.W., Kim H.K. Diagnostic and Prognostic Values of Neutrophil Reactivity Intensity (NEUT-RI) in Pediatric Systemic Inflammatory Response Syndrome and Sepsis. Ann. Clin. Lab. Sci. 2023; 53(2): 173-80.
28.Çetin Özdemir E., Bilen E., Yazar F.M. Can the delta neutrophil ındex be used as a preliminary biomarker ın the evaluation of periodontal disease: a pilot study. J. Appl. Oral Sci. 2022; 30: e20210555.
29.Bozan M.B., Yazar F.M., Kale İ.T., Yüzbaşıoğlu M.F., Boran Ö.F., Azak Bozan A. Delta Neutrophil Index and Neutrophil-to-Lymphocyte Ratio in the Differentiation of Thyroid Malignancy and Nodular Goiter. World J. Surg. 2021; 45(2): 507-14.
30.Durak D., Turhan V.B., Alkurt E.G., Tutan M.B., T Şahiner I. The role of immature granulocyte count and delta neutrophil index in the early prediction of mesenteric ischemia. Eur. Rev. Med Pharmacol. Sci. 2022; 26(12): 4238-43.
31.Mantovani E.M.A., Formenti P., Pastori S., Roccaforte V., Gotti M., Panella R., Galimberti A., Costagliola R., Vetrone F., Umbrello M., Pezzi A., Sabbatini G. The Potential Role of Neutrophil-Reactive Intensity (NEUT-RI) in the Diagnosis of Sepsis in Critically Ill Patients: A Retrospective Cohort Study. Diagnostics (Basel). 2023; 13(10): 1781.
32.Kowalska-Kępczyńska A., Kasprzycka W., Donica H. Innovative assessment practices of inflammation. Eur. J. Med. Technol. 2020; 1: 1–10.
33.Buoro S., Seghezzi M., Vavassori M., Dominoni P., Apassiti Esposito S., Manenti B. et al. Clinical significance of cell population data (CPD) on Sysmex XN-9000 in septic patients with our without liver impairment. Ann. Transl. Med. 2016; 4(21): 418.
34.Miyajima Y., Niimi H., Ueno T., Matsui A., Higashi Y.. , Kojima N. et al. Predictive value of cell population data with Sysmex XN-series hematology analyzer for culture-proven bacteremia. Front. Med. (Lausanne). 2023; 10: 1156889.
35.Park S.H., Park C.J., Lee B.. R., Nam K.S., Kim M.J., Han M.Y. et al. Sepsis affects most routine and cell population data (CPD) obtained using the Sysmex XN-2000 blood cell analyzer: neutrophil-related CPD NE-SFL and NE-WY provide useful information for detecting sepsis. Int. J. Lab. Hematol. 2015; 37(2): 190-8.
36.Kwiecień I., Di Luise D., Giannotta J.A., Ammirabile M., De Zordi V., Torricelli S., Bottalico S., Chiaretto M.L., Fattizzo B., Migliorini A.C., Ceriotti F. Cell Population Data NE-WX, NE-FSC, LY-Y of Sysmex XN-9000 can provide additional information to differentiate macrocytic anaemia from myelodysplastic syndrome: A preliminary study. Int. J. Lab. Hematol. 2022; 44(1): e40-e43.
37.Kwiecień I., Rutkowska E., Gawroński K., Kulik K., Dudzik A., Zakrzewska A. et al. Usefulness of New Neutrophil-Related Hematologic Parameters in Patients with Myelodysplastic Syndrome. Cancers (Basel). 2023; 15(9): 2488.
38.Di Luise D., Giannotta J.A., Ammirabile M., De Zordi V., Torricelli S., Bottalico S. et al. Cell Population Data NE-WX, NE-FSC, LY-Y of Sysmex XN-9000 can provide additional information to differentiate macrocytic anaemia from myelodysplastic syndrome: A preliminary study. Int. J. Lab. Hematol. 2022; 44(1): e40-e43.
39.Domerecka W., Kowalska-Kępczyńska A., Homa-Mlak I., Michalak A., Mlak R., Mazurek M., Cichoż-Lach H. et al. The Usefulness of Extended Inflammation Parameters and Systemic Inflammatory Response Markers in the Diagnostics of Autoimmune Hepatitis. Cells. 2022; 11(16): 2554.
40.Kowalska-Kępczyńska A., Mleczko M., Domerecka W., Krasowska D., Donica H. Assessment of Immune Cell Activation in Pemphigus. Cells. 2022; 11(12): 1912.
41.Kowalska-Kępczyńska A., Mleczko M., Domerecka W., Mazurek M., Krasowska D., Małecka-Massalska T. et al. Extended Inflammation Parameters (EIP) as Markers of Immune System Cell Activation in

Ключевые слова

#анализ крови #нейтрофильные гранулоциты #обзор

Для цитирования: Базарный В.В. Возможности автоматизированного анализа крови в оценке нейтрофильных гранулоцитов (обзор литературы). Клиническая лабораторная диагностика. 2023; 68 (11): 686-693. DOI: https://doi.org/10.51620/0869-2084-2023-68-11-686-693

For citation: Bazarnyi V.V. Possibilities of automated cell blood count procedures in the evaluation of neutrophil granulocytes (review of literature). Klinicheskaya Laboratornaya Diagnostika (Russian Clinical Laboratory Diagnostics). 2023; 68 (11): 686-693 (in Russ.). DOI: https://doi.org/10.51620/0869-2084-2023-68-11-686-693