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<article article-type="research-article" dtd-version="1.3" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xml:lang="ru"><front><journal-meta><journal-id journal-id-type="publisher-id">inovmed</journal-id><journal-title-group><journal-title xml:lang="ru">Инновационная медицина Кубани</journal-title><trans-title-group xml:lang="en"><trans-title>Innovative Medicine of Kuban</trans-title></trans-title-group></journal-title-group><issn pub-type="epub">2541-9897</issn><publisher><publisher-name>Scientific Research Institute – Ochapovsky Regional Clinical Hospital No. 1</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.35401/2500-0268-2022-25-1-83-89</article-id><article-id custom-type="elpub" pub-id-type="custom">inovmed-511</article-id><article-categories><subj-group subj-group-type="heading"><subject>Research Article</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="ru"><subject>ОБЗОРЫ</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>REVIEWS</subject></subj-group></article-categories><title-group><article-title>Прогнозирование синдрома полиорганной недостаточности у новорожденных детей</article-title><trans-title-group xml:lang="en"><trans-title>Multiple organ dysfunction syndrome prediction in newborn children</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0001-7522-9094</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Голомидов</surname><given-names>А. В.</given-names></name><name name-style="western" xml:lang="en"><surname>Golomidov</surname><given-names>A. V.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Голомидов Александр Владимирович, к. м. н., заместитель главного врача по педиатрии, врач – анестезиолог-реаниматолог отделения анестезиологии и реанимации № 2</p><p>650066, Кемерово, Октябрьский пр., 22</p></bio><bio xml:lang="en"><p>Alexander V. Golomidov, Cand. Sci. (Med.), Deputy Chief Physician for Pediatrics, Anesthesiologist, Department of Anesthesiology and Resuscitation no. 2</p><p>Oktyabrsky ave., 22, Kemerovo, 650066</p></bio><email xlink:type="simple">golomidov.oritn@yandex.ru</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0001-8370-3083</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Григорьев</surname><given-names>Е. В.</given-names></name><name name-style="western" xml:lang="en"><surname>Grigoriev</surname><given-names>E. V.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Григорьев Евгений Валерьевич, профессор РАН, д. м. н., заместитель директора по научной и лечебной работе</p><p>Кемерово </p></bio><bio xml:lang="en"><p>Evgeny V. Grigoriev, Professor of the Russian Academy of Sciences, Dr. Sci. (Med.), Deputy Director for Scientific and Medical Work</p><p>Kemerovo</p></bio><xref ref-type="aff" rid="aff-2"/></contrib><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-3269-9018</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Мозес</surname><given-names>В. Г.</given-names></name><name name-style="western" xml:lang="en"><surname>Moses</surname><given-names>V. G.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Мозес Вадим Гельевич, д. м. н., профессор кафедры акушерства и гинекологии имени Г.А. Ушаковой</p><p>Кемерово  </p></bio><bio xml:lang="en"><p>Vadim G. Moses, Dr. Sci. (Med.), Professor of the Department of Obstetrics and Gynecology named after G.A. Ushakova</p><p>Kemerovo</p></bio><xref ref-type="aff" rid="aff-3"/></contrib><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0003-2906-6217</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Мозес</surname><given-names>К. Б.</given-names></name><name name-style="western" xml:lang="en"><surname>Moses</surname><given-names>K. B.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Мозес Кира Борисовна, областной специалист</p><p>Кемерово </p></bio><bio xml:lang="en"><p>Kira B. Moses, Regional specialist</p><p>Kemerovo</p></bio><xref ref-type="aff" rid="aff-1"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru"><institution>Кузбасская областная клиническая больница им. С.В. Беляева</institution><country>Россия</country></aff><aff xml:lang="en"><institution>Kuzbass Regional Clinical Hospital named after S.V. Belyaev</institution><country>Russian Federation</country></aff></aff-alternatives><aff-alternatives id="aff-2"><aff xml:lang="ru"><institution>Научно-исследовательский институт комплексных проблем сердечно-сосудистых заболеваний</institution><country>Россия</country></aff><aff xml:lang="en"><institution>Research Institute for Complex Issues of Cardiovascular Diseases</institution><country>Russian Federation</country></aff></aff-alternatives><aff-alternatives id="aff-3"><aff xml:lang="ru"><institution>Кемеровский государственный медицинский университет</institution><country>Россия</country></aff><aff xml:lang="en"><institution>Kemerovo State Medical University</institution><country>Russian Federation</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2022</year></pub-date><pub-date pub-type="epub"><day>30</day><month>03</month><year>2022</year></pub-date><volume>0</volume><issue>1</issue><fpage>83</fpage><lpage>89</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Голомидов А.В., Григорьев Е.В., Мозес В.Г., Мозес К.Б., 2022</copyright-statement><copyright-year>2022</copyright-year><copyright-holder xml:lang="ru">Голомидов А.В., Григорьев Е.В., Мозес В.Г., Мозес К.Б.</copyright-holder><copyright-holder xml:lang="en">Golomidov A.V., Grigoriev E.V., Moses V.G., Moses K.B.</copyright-holder><license xml:lang="ru" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>Данная работа распространяется под лицензией Creative Commons Attribution 4.0.</license-p></license><license xml:lang="en" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>This work is licensed under a Creative Commons Attribution 4.0 License.</license-p></license></permissions><self-uri xlink:href="https://www.innovmedkub.ru/jour/article/view/511">https://www.innovmedkub.ru/jour/article/view/511</self-uri><abstract><p>Существуют несколько направлений прогнозирования синдрома полиорганной недостаточности (СПОН), но почти все они плохо апробированы в неонатологии. Данный обзор литературы представлен для обозначения проблемы объективизации тяжести состояния новорожденных и возможности прогнозирования развития у них СПОН.</p><p>Шкалы оценки тяжести СПОН у детей, находящихся в критическом состоянии, разработаны и используются с конца прошлого века, однако их валидация в группе новорожденных сталкивается с определенными трудностями. Прогностические нозоспецифические шкалы: калькулятор NICHD (National Institute of Child Health and Human Development), CRIB II (индекс клинического риска для детей раннего возраста), SNAPPE-II (перинатальная шкала острого состояния новорожденного-II) применяются в неонатологии, однако сравнение их между собой у данной категории пациентов не проводилось.</p><p>Теоретические и практические вопросы ближайшей и отдаленной предикции наступления СПОН и его исходов у новорожденных являются перспективным направлением неонатологии, так как позволяют предупредить врача о надвигающейся катастрофе и открывают «окно возможности» для своевременной коррекции лечебной тактики и предупреждения осложнений. Получение различных фенотипов критического состояния и прогнозирование их исходов у детей может обладать хорошим прогностическим потенциалом, однако у новорожденных такие исследования не проводились. Перспективным направлением в предикции СПОН является определение биомаркеров воспаления, среди которых хороший потенциал имеют эндокан, кластер дифференцировки 64, кластер молекулы дифференцировки 11b, «белок панкреатических камней» (PSP), растворимая молекула межклеточной адгезии-1 (sICAM-1), програнулин, неоптерин, резистин (FIZZ3, пресепсин (ПСП), но их эффективность в неонатологии еще предстоит исследовать.</p><p>Таким образом, прогнозирование этой тяжелой стресс-реакции у детей и новорожденных остается пока не решенной проблемой. В то же время сегодня активно развиваются несколько перспективных научных направлений, которые возможно приведут к увеличению возможностей в прогнозировании СПОН.</p></abstract><trans-abstract xml:lang="en"><p>There are several directions for predicting multiple organ dysfunction syndrome (MODS), but almost all of them are poorly tested in neonatology. This review is presented to indicate the problem of the condition severity objectification of newborns and the possibility of predicting the development of MODS. Scales for assessing the severity of MODS in critically ill children have been developed and used since the end of the last century, but their validation in the newborns faces certain difficulties. Prognostic nosospecific scales: NICHD (National Institute of Child Health and Human Development) calculator, CRIB II (Clinical Risk Index for Babies), SNAPPE-II (Score for Neonatal Acute Physiology with Perinatal Extension II) are used in neonatology, however their comparison in this category of patients has not been carried out.</p><p>Theoretical and practical issues of the short-term and long-term prediction of the MODS onset and its outcomes in newborns is a promising area of neonatology, since it allows a doctor to be warned about an impending catastrophe and opens a “window of opportunity” for timely correction of treatment tactics and complications prevention. Obtaining different phenotypes of critical illness and predicting their outcomes in children may have good predictive potential, but such studies have not been conducted in newborns. A promising direction in predicting MODS is the identification of biomarkers of inflammation, among which endocan, cluster of differentiation 64, cluster of differentiation molecules 11b, “pancreatic stone protein” (PSP), soluble intercellular adhesionmolecule-1 (sICAM-1), progranulin, neopterin, resistin (FIZZ3, presepsin (PSP)) carry a good potential, but their effectiveness in neonatology is still to be investigated.</p><p>Thus, the prediction of MODS in children and newborns remains an unresolved problem. At the same time, several promising scientific directions are actively being developed today, which may lead to a significant breakthrough in predicting MODS in neonatology.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>новорожденные</kwd><kwd>прогнозирование</kwd><kwd>синдром полиорганной недостаточности</kwd></kwd-group><kwd-group xml:lang="en"><kwd>newborns</kwd><kwd>prognosis</kwd><kwd>multiple organ failure syndrome</kwd></kwd-group></article-meta></front><back><ref-list><title>References</title><ref id="cit1"><label>1</label><citation-alternatives><mixed-citation xml:lang="ru">Meert KL, Banks R, Holubkov R, et al. Morbidity and Mortality in Critically Ill Children. II. A Qualitative Patient-Level Analysis of Pathophysiologies and Potential Therapeutic Solutions. Crit Care Med. 2020;48(6):799–807. PMID: 32301845. PMCID: PMC7242160. https://doi.org/10.1097/ccm.0000000000004332</mixed-citation><mixed-citation xml:lang="en">Meert KL, Banks R, Holubkov R, et al. Morbidity and Mortality in Critically Ill Children. II. A Qualitative Patient-Level Analysis of Pathophysiologies and Potential Therapeutic Solutions.  Crit  Care  Med.  2020;48(6):799–807.  PMID: 32301845.  PMCID:  PMC7242160.  https://doi.org/10.1097/ccm.0000000000004332</mixed-citation></citation-alternatives></ref><ref id="cit2"><label>2</label><citation-alternatives><mixed-citation xml:lang="ru">Skillman JJ, Bushnell LS, Goldman H, et al. Respiratory failure, hypotension, sepsis, and jaundice. A clinical syndrome associated with lethal hemorrhage from acute stress ulceration of the stomach. Am J Surg. 1969;117(4):523–530. PMID: 5771525. https://doi.org/10.1016/0002-9610(69)90011-7</mixed-citation><mixed-citation xml:lang="en">Skillman JJ, Bushnell LS, Goldman H, et al. Respiratory failure, hypotension, sepsis, and jaundice. A clinical syndrome associated with lethal hemorrhage from acute stress ulceration of the stomach. Am J Surg. 1969;117(4):523–530. PMID: 5771525. https://doi.org/10.1016/0002-9610(69)90011-7</mixed-citation></citation-alternatives></ref><ref id="cit3"><label>3</label><citation-alternatives><mixed-citation xml:lang="ru">Baue AE. Multiple, progressive, or sequential systems failu re. A syndrome of the 1970s. Arch Surg. 1975;110(7):779–781. PMID: 1079720. https://doi.org/10.1001/archsurg.1975.01360130011001</mixed-citation><mixed-citation xml:lang="en">Baue AE. Multiple, progressive, or sequential systems failu re. A syndrome of the 1970s. Arch Surg. 1975;110(7):779–781. PMID: 1079720. https://doi.org/10.1001/archsurg.1975.01360130011001</mixed-citation></citation-alternatives></ref><ref id="cit4"><label>4</label><citation-alternatives><mixed-citation xml:lang="ru">Eiseman B, Beart R, Norton L. Multiple organ failure. Surg Gynecol Obstet. 1977;144(3):323–326. PMID: 841449.</mixed-citation><mixed-citation xml:lang="en">Eiseman B, Beart R, Norton L. Multiple organ failure. Surg Gynecol Obstet. 1977;144(3):323–326. PMID: 841449.</mixed-citation></citation-alternatives></ref><ref id="cit5"><label>5</label><citation-alternatives><mixed-citation xml:lang="ru">Fry DE. Sepsis, systemic inflammatory response, and multiple organ dysfunction: the mystery continues. Am Surg. 2012;78(1):1–8. PMID: 22273282. https://doi.org/10.1177/000313481207800102</mixed-citation><mixed-citation xml:lang="en">Fry DE. Sepsis, systemic inflammatory response, and multiple organ dysfunction: the mystery continues. Am Surg. 2012;78(1):1–8. PMID: 22273282. https://doi.org/10.1177/000313481207800102</mixed-citation></citation-alternatives></ref><ref id="cit6"><label>6</label><citation-alternatives><mixed-citation xml:lang="ru">Carlton EF, Close J, Paice K, et al. Clinician Accuracy in Identifying and Predicting Organ Dysfunction in Critically Ill Children. Crit Care Med. 2020;48(11):e1012–e1019. PMID: 32804793. PMCID: PMC7959260. https://doi.org/10.1097/ccm.0000000000004555</mixed-citation><mixed-citation xml:lang="en">Carlton EF, Close J, Paice K, et al. Clinician Accuracy in Identifying and Predicting Organ Dysfunction in Critically Ill Children. Crit Care Med. 2020;48(11):e1012–e1019. PMID: 32804793.  PMCID:  PMC7959260.  https://doi.org/10.1097/ccm.0000000000004555</mixed-citation></citation-alternatives></ref><ref id="cit7"><label>7</label><citation-alternatives><mixed-citation xml:lang="ru">Brown SR, Martinez Garcia D, et al. Scoping Review of Pediatric Early Warning Systems (PEWS) in Resource-Limited and Humanitarian Settings. Front Pediatr. 2019;6:410. PMID: 30671424. PMCID: PMC6331420. https://doi.org/10.3389/fped.2018.00410</mixed-citation><mixed-citation xml:lang="en">Brown SR, Martinez Garcia D, et al. Scoping Review of Pediatric Early Warning Systems (PEWS) in Resource-Limited and Humanitarian Settings. Front Pediatr. 2019;6:410. PMID: 30671424.  PMCID:  PMC6331420.  https://doi.org/10.3389/fped.2018.00410</mixed-citation></citation-alternatives></ref><ref id="cit8"><label>8</label><citation-alternatives><mixed-citation xml:lang="ru">Farris RW, Weiss NS, Zimmerman JJ. Functional outcomes in pediatric severe sepsis: further analysis of the researching severe sepsis and organ dysfunction in children: a global perspective trial. Pediatric Critical Care Medicine. 2013;14(9):835–42. https://doi.org/10.1097/pcc.0b013e3182a551c8</mixed-citation><mixed-citation xml:lang="en">Farris RW, Weiss NS, Zimmerman JJ. Functional outcomes in pediatric severe sepsis: further analysis of the researching severe sepsis and organ dysfunction in children: a global perspective trial. Pediatric Critical Care Medicine. 2013;14(9):835–42. https://doi.org/10.1097/pcc.0b013e3182a551c8</mixed-citation></citation-alternatives></ref><ref id="cit9"><label>9</label><citation-alternatives><mixed-citation xml:lang="ru">Deshmukh T, Varma A, Damke S, et al. Predictive Efficacy of Pediatric Logistic Organ Dysfunction-2 Score in Pediatric Intensive Care Unit of Rural Hospital. Indian J Crit Care Med. 2020;24(8):701–704. PMID: 33024378. PMCID: PMC7519618. https://doi.org/10.5005/jp-journals-10071-23528</mixed-citation><mixed-citation xml:lang="en">Deshmukh T, Varma A, Damke S, et al. Predictive Efficacy of Pediatric Logistic Organ Dysfunction-2 Score in Pediatric Intensive Care Unit of Rural Hospital. Indian J Crit Care Med. 2020;24(8):701–704. PMID: 33024378. PMCID: PMC7519618. https://doi.org/10.5005/jp-journals-10071-23528</mixed-citation></citation-alternatives></ref><ref id="cit10"><label>10</label><citation-alternatives><mixed-citation xml:lang="ru">Garg B, Sharma D, Farahbakhsh N. Assessment of sickness severity of illness in neonates: review of various neonatal illness scoring systems. J Matern Fetal Neonatal Med. 2018;31(10):1373–1380. PMID: 28372507. https://doi.org/10.1080/14767058.2017.1315665</mixed-citation><mixed-citation xml:lang="en">Garg B, Sharma D, Farahbakhsh N. Assessment of sickness severity of illness in neonates: review of various neonatal illness scoring systems. J Matern Fetal Neonatal Med. 2018;31(10):1373–1380. PMID: 28372507. https://doi.org/10.1080/14767058.2017.1315665</mixed-citation></citation-alternatives></ref><ref id="cit11"><label>11</label><citation-alternatives><mixed-citation xml:lang="ru">Muktan D, Singh RR, Bhatta NK, et al. Neonatal mortality risk assessment using SNAPPE-II score in a neonatal intensive care unit. BMC Pediatrics. 2019;19(1):279. PMID: 31409303. PMCID: PMC6691535. https://doi.org/10.1186/s12887-019-1660-y</mixed-citation><mixed-citation xml:lang="en">Muktan D, Singh RR, Bhatta NK, et al. Neonatal mortality risk assessment using SNAPPE-II score in a neonatal intensive care unit. BMC Pediatrics. 2019;19(1):279. PMID: 31409303. PMCID: PMC6691535. https://doi.org/10.1186/s12887-019-1660-y</mixed-citation></citation-alternatives></ref><ref id="cit12"><label>12</label><citation-alternatives><mixed-citation xml:lang="ru">Agor J, Özaltın OY, Ivy JS, et al. The value of missing information in severity of illness score development. J Biomed Inform. 2019;97:103255. PMID: 31349049. https://doi.org/10.1016/j.jbi.2019.103255</mixed-citation><mixed-citation xml:lang="en">Agor J, Özaltın OY, Ivy JS, et al. The value of missing information in severity of illness score development. J Biomed Inform. 2019;97:103255. PMID: 31349049. https://doi.org/10.1016/j.jbi.2019.103255</mixed-citation></citation-alternatives></ref><ref id="cit13"><label>13</label><citation-alternatives><mixed-citation xml:lang="ru">Groenendaal F, de Vos MC, Derks JB, et al. Improved SNAPPE-II and CRIB II scores over a 15-year period. J Perinatol. 2017;37(5):547–551. PMID: 28125092. https://doi.org/10.1038/jp.2016.276</mixed-citation><mixed-citation xml:lang="en">Groenendaal F, de Vos MC, Derks JB, et al. Improved SNAPPE-II and CRIB II scores over a 15-year period. J Perinatol. 2017;37(5):547–551. PMID: 28125092. https://doi.org/10.1038/jp.2016.276</mixed-citation></citation-alternatives></ref><ref id="cit14"><label>14</label><citation-alternatives><mixed-citation xml:lang="ru">Shen Y, Jiang J. Meta-Analysis for the Prediction of Mortality Rates in a Pediatric Intensive Care Unit Using Different Scores: PRISM-III/IV, PIM-3, and PELOD-2. Front Pediatr. 2021;9:712276. PMID: 34504815. PMCID: PMC8421854. https://doi.org/10.3389/fped.2021.712276</mixed-citation><mixed-citation xml:lang="en">Shen Y, Jiang J. Meta-Analysis for the Prediction of Mortality Rates in a Pediatric Intensive Care Unit Using Different Scores: PRISM-III/IV, PIM-3, and PELOD-2. Front Pediatr. 2021;9:712276. PMID: 34504815. PMCID: PMC8421854. https://doi.org/10.3389/fped.2021.712276</mixed-citation></citation-alternatives></ref><ref id="cit15"><label>15</label><citation-alternatives><mixed-citation xml:lang="ru">Sauthier M, Landry-Hould F, Leteurtre S, et al. Comparison of the Automated Pediatric Logistic Organ Dysfunction-2 Versus Manual Pediatric Logistic Organ Dysfunction-2 Score for Critically Ill Children. Pediatr Crit Care Med. 2020;21(4):e160–e169. PMID: 32091503. https://doi.org/10.1097/pcc.0000000000002235</mixed-citation><mixed-citation xml:lang="en">Sauthier M, Landry-Hould F, Leteurtre S, et al. Comparison of the Automated Pediatric Logistic Organ Dysfunction-2 Versus Manual Pediatric Logistic Organ Dysfunction-2 Score for Critically Ill Children. Pediatr Crit Care Med. 2020;21(4):e160–e169. PMID: 32091503. https://doi.org/10.1097/pcc.0000000000002235</mixed-citation></citation-alternatives></ref><ref id="cit16"><label>16</label><citation-alternatives><mixed-citation xml:lang="ru">Kawasaki T, Shime N, Straney L, et al. Paediatric sequential organ failure assessment score (pSOFA): a plea for the world-wide collaboration for consensus. Intensive Care Med. 2018;44(6):995–997. PMID: 29704146. https://doi.org/10.1007/s00134-018-5188-7</mixed-citation><mixed-citation xml:lang="en">Kawasaki T, Shime N, Straney L, et al. Paediatric sequential organ failure assessment score (pSOFA): a plea for the world-wide collaboration for consensus. Intensive Care Med. 2018;44(6):995–997. PMID: 29704146. https://doi.org/10.1007/s00134-018-5188-7</mixed-citation></citation-alternatives></ref><ref id="cit17"><label>17</label><citation-alternatives><mixed-citation xml:lang="ru">Matics TJ, Sanchez-Pinto LN. Adaptation and Validation of a Pediatric Sequential Organ Failure Assessment Score and Evaluation of the Sepsis-3 Definitions in Critically Ill Children. JAMA Pediatr. 2017;171(10):e172352. PMID: 28783810. PMCID: PMC6583375. https://doi.org/10.1001/jamapediatrics.2017.2352</mixed-citation><mixed-citation xml:lang="en">Matics TJ, Sanchez-Pinto LN. Adaptation and Validation of a Pediatric Sequential Organ Failure Assessment Score and Evaluation of the Sepsis-3 Definitions in Critically Ill Children. JAMA Pediatr. 2017;171(10):e172352. PMID: 28783810. PMCID: PMC6583375. https://doi.org/10.1001/jamapediatrics.2017.2352</mixed-citation></citation-alternatives></ref><ref id="cit18"><label>18</label><citation-alternatives><mixed-citation xml:lang="ru">Серебрякова Е.Н., Волосников Д.К. Прогностическая значимость шкал SNAPPEII, CRIBII, NEOMOD в отношении риска летального исхода у новорожденных с синдромом полиорганной недостаточности. Трудный пациент. 2016;8–9:19–22.</mixed-citation><mixed-citation xml:lang="en">Serebryakova EN, Volosnikov DK. The predictive value of the SNAPPE II, CRIB II, NEOMOD scales in relation to the risk of death in newborns with multiple organ failure syndrome. Difficult patient. 2016;8–9:19–22. (In Russ.).</mixed-citation></citation-alternatives></ref><ref id="cit19"><label>19</label><citation-alternatives><mixed-citation xml:lang="ru">Бударова К.В., Шмаков А.Н., Сирота С.И. Сравнительная оценка информативности шкал полиорганной недостаточности у новорожденных с некротизирующим энтероколитом. Российский вестник детской хирургии анестезиологии и реаниматологии. 2017;7(3):82–86.</mixed-citation><mixed-citation xml:lang="en">Budarova KV, Shmakov AN, Sirota SI. Comparison of information value of the scale estimating multiple organ failure in newborns with necrotizine enterocolitis. Russian Journal of Pediatric Surgery of Anesthesia and Intensive Care. 2017;3:82–86. (In Russ.).</mixed-citation></citation-alternatives></ref><ref id="cit20"><label>20</label><citation-alternatives><mixed-citation xml:lang="ru">Radfar M, Hashemieh M, Fallahi M, et al. Utilization of SNAP II and SNAPPE II Scores for Predicting the Mortality Rate Among a Cohort of Iranian Newborns. Arch Iran Med. 2018;21(4):153–157. PMID: 29693405.</mixed-citation><mixed-citation xml:lang="en">Radfar M, Hashemieh M, Fallahi M, et al. Utilization of SNAP II and SNAPPE II Scores for Predicting the Mortality Rate Among a Cohort of Iranian Newborns. Arch Iran Med. 2018;21(4):153–157. PMID: 29693405.</mixed-citation></citation-alternatives></ref><ref id="cit21"><label>21</label><citation-alternatives><mixed-citation xml:lang="ru">Hamshary AAEE, Sherbini SAE, Elgebaly HF, et al. Prevalence of multiple organ dysfunction in the pediatric intensive care unit: Pediatric Risk of Mortality III versus Pediatric Logistic Organ Dysfunction scores for mortality prediction. Rev Bras Ter Intensiva. 2017;29(2):206–212. PMID: 28977260. PMCID: PMC5496755. https://doi.org/10.5935/0103-507x.20170029</mixed-citation><mixed-citation xml:lang="en">Hamshary AAEE, Sherbini SAE, Elgebaly HF, et al. Prevalence of multiple organ dysfunction in the pediatric intensive care unit: Pediatric Risk of Mortality III versus Pediatric Logistic Organ Dysfunction scores for mortality prediction. Rev Bras Ter Intensiva. 2017;29(2):206–212. PMID: 28977260. PMCID: PMC5496755. https://doi.org/10.5935/0103-507x.20170029</mixed-citation></citation-alternatives></ref><ref id="cit22"><label>22</label><citation-alternatives><mixed-citation xml:lang="ru">Gonçalves JP, Severo M, Rocha C, et al. Performance of PRISM III and PELOD-2 scores in a pediatric intensive care unit. Eur J Pediatr. 2015;174(10):1305–1310. PMID: 25875250. https://doi.org/10.1007/s00431-015-2533-5</mixed-citation><mixed-citation xml:lang="en">Gonçalves JP, Severo M, Rocha C, et al. Performance of PRISM III and PELOD-2 scores in a pediatric intensive care unit. Eur J Pediatr. 2015;174(10):1305–1310. PMID: 25875250. https://doi.org/10.1007/s00431-015-2533-5</mixed-citation></citation-alternatives></ref><ref id="cit23"><label>23</label><citation-alternatives><mixed-citation xml:lang="ru">Niederwanger C, Varga T, Hell T, et al. Comparison of pediatric scoring systems for mortality in septic patients and the impact of missing information on their predictive power: a retrospective analysis. Peer J. 2020;8:e9993. PMID: 33083117. PMCID: PMC7543722. https://doi.org/10.7717/peerj.9993</mixed-citation><mixed-citation xml:lang="en">Niederwanger C, Varga T, Hell T, et al. Comparison of pediatric scoring systems for mortality in septic patients and the impact of missing information on their predictive power: a retrospective analysis. Peer J. 2020;8:e9993. PMID: 33083117. PMCID: PMC7543722. https://doi.org/10.7717/peerj.9993</mixed-citation></citation-alternatives></ref><ref id="cit24"><label>24</label><citation-alternatives><mixed-citation xml:lang="ru">Younge N, Goldstein RF, Bann CM, et al. Survival and Neurodevelopmental Outcomes among Periviable Infants. N Engl J Med. 2017;376:617–628. PMID: 28199816. PMCID: PMC5456289. https://doi.org/10.1056/nejmoa1605566</mixed-citation><mixed-citation xml:lang="en">Younge N, Goldstein RF, Bann CM, et al. Survival and Neurodevelopmental Outcomes among Periviable Infants. N Engl J Med. 2017;376:617–628. PMID: 28199816. PMCID: PMC5456289. https://doi.org/10.1056/nejmoa1605566</mixed-citation></citation-alternatives></ref><ref id="cit25"><label>25</label><citation-alternatives><mixed-citation xml:lang="ru">Sun Y, Kaur R, Gupta S, et al. Development and validation of high definition phenotype-based mortality prediction in critical care units. JAMIA Open. 2021;4(1):ooab004. PMID: 33796821. PMCID: PMC7991779. https://doi.org/10.1093/jamiaopen/ooab004</mixed-citation><mixed-citation xml:lang="en">Sun Y, Kaur R, Gupta S, et al. Development and validation of high definition phenotype-based mortality prediction in critical care units. JAMIA Open. 2021;4(1):ooab004. PMID: 33796821. PMCID:  PMC7991779.  https://doi.org/10.1093/jamiaopen/ooab004</mixed-citation></citation-alternatives></ref><ref id="cit26"><label>26</label><citation-alternatives><mixed-citation xml:lang="ru">Wynn JL, Polin RA. A neonatal sequential organ failure assessment score predicts mortality to late-onset sepsis in preterm very low birth weight infants. Pediatr Res. 2020;88(1):85–90. PMID: 31394566. PMCID: PMC7007331. https://doi.org/10.1038/s41390-019-0517-2</mixed-citation><mixed-citation xml:lang="en">Wynn JL, Polin RA. A neonatal sequential organ failure assessment score predicts mortality to late-onset sepsis in preterm very low birth weight infants. Pediatr Res. 2020;88(1):85–90. PMID: 31394566. PMCID: PMC7007331. https://doi.org/10.1038/s41390-019-0517-2</mixed-citation></citation-alternatives></ref><ref id="cit27"><label>27</label><citation-alternatives><mixed-citation xml:lang="ru">Sheikhtaheri A, Zarkesh MR, Moradi R, et al. Prediction of neonatal deaths in NICUs: development and validation of machine learning models. BMC Med Inform Decis Mak. 2021;21(1):131. PMID: 33874944. PMCID: PMC8056638. https://doi.org/10.1186/s12911-021-01497-8</mixed-citation><mixed-citation xml:lang="en">Sheikhtaheri A, Zarkesh MR, Moradi R, et al. Prediction of neonatal deaths in NICUs: development and validation of machine learning models. BMC Med Inform Decis Mak. 2021;21(1):131. PMID: 33874944. PMCID: PMC8056638. https://doi.org/10.1186/s12911-021-01497-8</mixed-citation></citation-alternatives></ref><ref id="cit28"><label>28</label><citation-alternatives><mixed-citation xml:lang="ru">Shirwaikar RD. Estimation of Caffeine Regimens: A Machine Learning Approach for Enhanced Clinical Decision Making at a Neonatal Intensive Care Unit (NICU). Crit Rev Biomed Eng. 2018;46(2):93–115. PMID: 30055527. https://doi.org/10.1615/critrevbiomedeng.2018025933</mixed-citation><mixed-citation xml:lang="en">Shirwaikar RD. Estimation of Caffeine Regimens: A Machine Learning Approach for Enhanced Clinical Decision Making at a Neonatal Intensive Care Unit (NICU). Crit Rev Biomed Eng. 2018;46(2):93–115. PMID: 30055527. https://doi.org/10.1615/critrevbiomedeng.2018025933</mixed-citation></citation-alternatives></ref><ref id="cit29"><label>29</label><citation-alternatives><mixed-citation xml:lang="ru">Lin JC, Spinella PC, Fitzgerald JC, et al. New or Progressive Multiple Organ Dysfunction Syndrome in Pediatric Severe Sepsis: A Sepsis Phenotype With Higher Morbidity and Mortality. Pediatr Crit Care Med. 2017;18(1):8–16. PMID: 28060151. PMCID: PMC7261134. https://doi.org/10.1097/pcc.0000000000000978</mixed-citation><mixed-citation xml:lang="en">Lin JC, Spinella PC, Fitzgerald JC, et al. New or Progressive Multiple Organ Dysfunction Syndrome in Pediatric Severe Sepsis: A Sepsis Phenotype With Higher Morbidity and Mortality. Pediatr Crit Care Med. 2017;18(1):8–16. PMID: 28060151.  PMCID:  PMC7261134.  https://doi.org/10.1097/pcc.0000000000000978</mixed-citation></citation-alternatives></ref><ref id="cit30"><label>30</label><citation-alternatives><mixed-citation xml:lang="ru">Bhavani SV, Carey KA, Gilbert ER, et al. Identifying novel sepsis subphenotypes using temperature trajectories. Am J Respir Crit Care Med. 2019;200(3):327–335. PMID: 30789749. PMCID: PMC6680307. https://doi.org/10.1164/rccm.201806-1197OC</mixed-citation><mixed-citation xml:lang="en">Bhavani SV, Carey KA, Gilbert ER, et al. Identifying novel sepsis subphenotypes using temperature trajectories. Am J Respir Crit Care Med. 2019;200(3):327–335. PMID: 30789749. PMCID: PMC6680307. https://doi.org/10.1164/rccm.201806-1197OC</mixed-citation></citation-alternatives></ref><ref id="cit31"><label>31</label><citation-alternatives><mixed-citation xml:lang="ru">Sanchez-Pinto LN, Stroup EK, Pendergrast T, et al. Derivation and Validation of Novel Phenotypes of Multiple Organ Dysfunction Syndrome in Critically Ill Children. JAMA Netw Open. 2020;3(8):e209271. PMID: 32780121. PMCID: PMC7420303. https://doi.org/10.1001/jamanetworkopen.2020.9271</mixed-citation><mixed-citation xml:lang="en">Sanchez-Pinto LN, Stroup EK, Pendergrast T, et al. Derivation and Validation of Novel Phenotypes of Multiple Organ Dysfunction Syndrome in Critically Ill Children. JAMA Netw Open. 2020;3(8):e209271. PMID: 32780121. PMCID: PMC7420303. https://doi.org/10.1001/jamanetworkopen.2020.9271</mixed-citation></citation-alternatives></ref><ref id="cit32"><label>32</label><citation-alternatives><mixed-citation xml:lang="ru">Hincu MA, Zonda GI, Stanciu GD, et al. Relevance of Biomarkers Currently in Use or Research for Practical Diagnosis Approach of Neonatal Early-Onset Sepsis. Children (Basel). 2020;7(12):309. PMID: 33419284. PMCID: PMC7767026. https://doi.org/10.3390/children7120309</mixed-citation><mixed-citation xml:lang="en">Hincu MA, Zonda GI, Stanciu GD, et al. Relevance of Biomarkers Currently in Use or Research for Practical Diagnosis Approach of Neonatal Early-Onset Sepsis. Children (Basel). 2020;7(12):309. PMID: 33419284. PMCID: PMC7767026. https://doi.org/10.3390/children7120309</mixed-citation></citation-alternatives></ref><ref id="cit33"><label>33</label><citation-alternatives><mixed-citation xml:lang="ru">Pietrasanta C, Pugni L, Ronchi A, et al. Vascular Endothelium in Neonatal Sepsis: Basic Mechanisms and Translational Opportunities. Front Pediatr. 2019;7:340. PMID: 31456998. PMCID: PMC6700367. https://doi.org/10.3389/fped.2019.00340</mixed-citation><mixed-citation xml:lang="en">Pietrasanta C, Pugni L, Ronchi A, et al. Vascular Endothelium in Neonatal Sepsis: Basic Mechanisms and Translational Opportunities. Front Pediatr. 2019;7:340. PMID: 31456998.  PMCID:  PMC6700367.  https://doi.org/10.3389/fped.2019.00340</mixed-citation></citation-alternatives></ref><ref id="cit34"><label>34</label><citation-alternatives><mixed-citation xml:lang="ru">Song Y, Chen Y, Dong X, et al. Diagnostic value of neutrophil CD64 combined with CRP for neonatal sepsis: A meta-analysis. Am J Emerg Med. 2019;37(8):1571–1576. PMID: 31085013. https://doi.org/10.1016/j.ajem.2019.05.001</mixed-citation><mixed-citation xml:lang="en">Song Y, Chen Y, Dong X, et al. Diagnostic value of neutrophil CD64 combined with CRP for neonatal sepsis: A meta-analysis. Am J Emerg Med. 2019;37(8):1571–1576. PMID: 31085013. https://doi.org/10.1016/j.ajem.2019.05.001</mixed-citation></citation-alternatives></ref><ref id="cit35"><label>35</label><citation-alternatives><mixed-citation xml:lang="ru">Sharma A, Thakur A, Bhardwaj C, et al. Potential biomarkers for diagnosing neonatal sepsis. Curr Med Res Pract. 2020;10:12–17. https://doi.org/10.1016/j.cmrp.2019.12.004</mixed-citation><mixed-citation xml:lang="en">Sharma A, Thakur A, Bhardwaj C, et al. Potential biomarkers for diagnosing neonatal sepsis. Curr Med Res Pract. 2020;10:12–17. https://doi.org/10.1016/j.cmrp.2019.12.004</mixed-citation></citation-alternatives></ref><ref id="cit36"><label>36</label><citation-alternatives><mixed-citation xml:lang="ru">Gandhi P, Kondekar S. A Review of the Different Haematological Parameters and Biomarkers Used for Diagnosis of Neonatal Sepsis. EMJ Hematol. 2019;7:85–92. https://doi.org/10.33590/emjhematol</mixed-citation><mixed-citation xml:lang="en">Gandhi P, Kondekar S. A Review of the Different Haematological Parameters and Biomarkers Used for Diagnosis of Neonatal Sepsis. EMJ Hematol. 2019;7:85–92. https://doi.org/10.33590/emjhematol</mixed-citation></citation-alternatives></ref><ref id="cit37"><label>37</label><citation-alternatives><mixed-citation xml:lang="ru">Eggimann P, Que YA, Rebeaud F. Measurement of pancreatic stone protein in the identification and management of sepsis. Biomark Med. 2019;13:135–145. PMID: 30672312. https://doi.org/10.2217/bmm-2018-0194</mixed-citation><mixed-citation xml:lang="en">Eggimann P, Que YA, Rebeaud F. Measurement of pancreatic stone protein in the identification and management of sepsis. Biomark Med. 2019;13:135–145. PMID: 30672312. https://doi.org/10.2217/bmm-2018-0194</mixed-citation></citation-alternatives></ref><ref id="cit38"><label>38</label><citation-alternatives><mixed-citation xml:lang="ru">Schlapbach LJ, Graf R, Woerner A, et al. Pancreatic stone protein as a novel marker for neonatal sepsis. Intensive Care Med. 2013;39(4):754–763. PMID: 23296629. https://doi.org/10.1007/s00134-012-2798-3</mixed-citation><mixed-citation xml:lang="en">Schlapbach LJ, Graf R, Woerner A, et al. Pancreatic stone protein as a novel marker for neonatal sepsis. Intensive Care Med. 2013;39(4):754–763. PMID: 23296629. https://doi.org/10.1007/s00134-012-2798-3</mixed-citation></citation-alternatives></ref><ref id="cit39"><label>39</label><citation-alternatives><mixed-citation xml:lang="ru">Zhang X, Sun C, Li J. Serum sICAM-1 and PCT levels and their prognostic value in neonates with sepsis. Int J Clin Exp Med. 2019;12:5874–5880.</mixed-citation><mixed-citation xml:lang="en">Zhang X, Sun C, Li J. Serum sICAM-1 and PCT levels and their prognostic value in neonates with sepsis. Int J Clin Exp Med. 2019;12:5874–5880.</mixed-citation></citation-alternatives></ref><ref id="cit40"><label>40</label><citation-alternatives><mixed-citation xml:lang="ru">Achten NB, Van Meurs M, Jongman RM, et al. Markers of endothelial cell activation in suspected late onset neonatal sepsis in Surinamese newborns: A pilot study. Transl Pediatrics. 2019;8:412–418. PMID: 31993355. PMCID: PMC6970123. https://doi.org/10.21037/tp.2019.11.03</mixed-citation><mixed-citation xml:lang="en">Achten NB, Van Meurs M, Jongman RM, et al. Markers of endothelial cell activation in suspected late onset neonatal sepsis in Surinamese newborns: A pilot study. Transl Pediatrics. 2019;8:412–418. PMID: 31993355. PMCID: PMC6970123. https://doi.org/10.21037/tp.2019.11.03</mixed-citation></citation-alternatives></ref><ref id="cit41"><label>41</label><citation-alternatives><mixed-citation xml:lang="ru">Zonneveld R, Jongman RM, Juliana A, et al. Serum concentrations of endothelial cell adhesion molecules and their shedding enzymes and early onset sepsis in newborns in Suriname. BMJ Paediatr Open. 2018;2:e000312. PMID: 30397669. PMCID: PMC6203012. https://doi.org/10.1136/bmjpo-2018-000312</mixed-citation><mixed-citation xml:lang="en">Zonneveld R, Jongman RM, Juliana A, et al. Serum concentrations of endothelial cell adhesion molecules and their shedding enzymes and early onset sepsis in newborns in Suriname. BMJ Paediatr Open. 2018;2:e000312. PMID: 30397669. PMCID: PMC6203012. https://doi.org/10.1136/bmjpo-2018-000312</mixed-citation></citation-alternatives></ref><ref id="cit42"><label>42</label><citation-alternatives><mixed-citation xml:lang="ru">Rao L, Song Z, Yu X, et al. Progranulin as a novel biomarker in diagnosis of early-onset neonatal sepsis. Cytokine. 2020;128:155000. PMID: 31982701. https://doi.org/10.1016/j.cyto.2020.155000</mixed-citation><mixed-citation xml:lang="en">Rao L, Song Z, Yu X, et al. Progranulin as a novel biomarker in diagnosis of early-onset neonatal sepsis. Cytokine. 2020;128:155000. PMID: 31982701. https://doi.org/10.1016/j.cyto.2020.155000</mixed-citation></citation-alternatives></ref><ref id="cit43"><label>43</label><citation-alternatives><mixed-citation xml:lang="ru">Ozdemir AA, Elgormus Y. Value of Resistin in Early Onset Neonatal Sepsis. J Child Sci. 2017;7(1):e146–e150. https://doi.org/10.1055/s-0037-1608713</mixed-citation><mixed-citation xml:lang="en">Ozdemir AA, Elgormus Y. Value of Resistin in Early Onset Neonatal Sepsis. J Child Sci. 2017;7(1):e146–e150. https://doi.org/10.1055/s-0037-1608713</mixed-citation></citation-alternatives></ref><ref id="cit44"><label>44</label><citation-alternatives><mixed-citation xml:lang="ru">Saboktakin L, Bilan N, Behbahan AG, et al. Relationship between resistin levels and sepsis among children under 12 years of age: A case control study. Front Pediatrics. 2019;7:355. PMID: 31555623. PMCID: PMC6724762. https://doi.org/10.3389/fped.2019.00355</mixed-citation><mixed-citation xml:lang="en">Saboktakin L, Bilan N, Behbahan AG, et al. Relationship between resistin levels and sepsis among children under 12 years of age: A case control study. Front Pediatrics. 2019;7:355. PMID: 31555623.  PMCID:  PMC6724762.  https://doi.org/10.3389/fped.2019.00355</mixed-citation></citation-alternatives></ref><ref id="cit45"><label>45</label><citation-alternatives><mixed-citation xml:lang="ru">Iskandar A, Arthamin MZ, Indriana K, et al. Comparison between presepsin and procalcitonin in early diagnosis of neonatal sepsis. J Matern Fetal Neonatal Med. 2019;32(23):3903–3908. PMID: 29742943. https://doi.org/10.1080/14767058.2018.1475643</mixed-citation><mixed-citation xml:lang="en">Iskandar A, Arthamin MZ, Indriana K, et al. Comparison between presepsin and procalcitonin in early diagnosis of neonatal sepsis. J Matern Fetal Neonatal Med. 2019;32(23):3903–3908. PMID: 29742943. https://doi.org/10.1080/14767058.2018.1475643</mixed-citation></citation-alternatives></ref></ref-list><fn-group><fn fn-type="conflict"><p>The authors declare that there are no conflicts of interest present.</p></fn></fn-group></back></article>
