Mean platelet volume and red blood cell distribution width is associated with prognosis in premature neonates with sepsis

被引:18
作者
Cai, Na [1 ]
Chen, Zhi Qiang [1 ]
Tao, Min [1 ]
Fan, Wen Ting [1 ]
Liao, Wei [1 ]
机构
[1] Army Med Univ, Hosp 1, Dept Pediat, Chongqing 400038, Peoples R China
来源
OPEN MEDICINE | 2021年 / 16卷 / 01期
关键词
premature neonates; sepsis; MPV; RDV; prognosis; MORTALITY; DIAGNOSIS; CHILDREN; RISK;
D O I
10.1515/med-2021-0323
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Objective - To evaluate the prognostic value of the mean platelet volume (MPV) and red blood cell distribution width (RDW) in sepsis among premature neonates. Methods - This was a retrospective cohort study conducted in the neonatal intensive care unit between May 2015 and May 2020. Premature neonates with late-onset sepsis were enrolled. The demographic data, blood cell count analysis, C-reactive protein, and blood culture were compared between survivors and non-survivors. Results - A total of 73 premature neonates with sepsis in the survivor group and 10 cases in the non-survivor group. Significant differences were observed between the survivor and non-survivor groups with regard to birth weight, MPV, and RDW (P < 0.05). The results of binomial stepwise logistic regression suggested that MPV (OR = 3.226, P = 0.017 < 0.05) and RDW (OR = 2.058, P = 0.019 < 0.05) were independent predictor for prognosis in preterm with sepsis. A receiver operating characteristic analysis showed that the areas under the curves were 0.738 for MPV alone, 0.768 for RDW alone, and 0.854 for MPV combined with RDW. Conclusion - MPV and RDW were independent predictors of prognosis and the combination of the two helps in predicting the prognosis of preterm with late-onset sepsis in the early stage.
引用
收藏
页码:1175 / 1181
页数:7
相关论文
共 35 条
[1]   Validation and Potential Mechanisms of Red Cell Distribution Width as a Prognostic Marker in Heart Failure [J].
Allen, Larry A. ;
Felker, G. Michael ;
Mehra, Mandeep R. ;
Chiong, Jun R. ;
Dunlap, Stephanie H. ;
Ghali, Jalal K. ;
Lenihan, Daniel J. ;
Oren, Ron M. ;
Wagoner, Lynne E. ;
Schwartz, Todd A. ;
Adams, Kirkwood F., Jr. .
JOURNAL OF CARDIAC FAILURE, 2010, 16 (03) :230-238
[2]   Red cell distribution width and all-cause mortality in critically ill patients [J].
Bazick, Heidi S. ;
Chang, Domingo ;
Mahadevappa, Karthik ;
Gibbons, Fiona K. ;
Christopher, Kenneth B. .
CRITICAL CARE MEDICINE, 2011, 39 (08) :1913-1921
[3]  
Becchi C, 2006, MINERVA ANESTESIOL, V72, P749
[4]   Global, regional, and national causes of child mortality in 2008: a systematic analysis [J].
Black, Robert E. ;
Cousens, Simon ;
Johnson, Hope L. ;
Lawn, Joy E. ;
Rudan, Igor ;
Bassani, Diego G. ;
Jha, Prabhat ;
Campbell, Harry ;
Walker, Christa Fischer ;
Cibulskis, Richard ;
Eisele, Thomas ;
Liu, Li ;
Mathers, Colin .
LANCET, 2010, 375 (9730) :1969-1987
[5]   High-Density Lipoprotein, Mean Platelet Volume, and Uric Acid as Biomarkers for Outcomes in Patients With Sepsis: An Observational Study [J].
Bolivar Montero-Chacon, Luis ;
Ignacio Padilla-Cuadra, Juan ;
Chiou, Sy Han ;
Torrealba-Acosta, Gabriel .
JOURNAL OF INTENSIVE CARE MEDICINE, 2020, 35 (07) :636-642
[6]   Neutrophil-to-lymphocyte ratio and mean platelet volume can be useful markers to predict sepsis in children [J].
Dursun, Adem ;
Ozsoylu, Serkan ;
Akyildiz, Basak Nur .
PAKISTAN JOURNAL OF MEDICAL SCIENCES, 2018, 34 (04) :918-922
[7]  
Feng YQ, 2010, J PRACTICAL MED, V26, P1582
[8]   Using Platelet Parameters to Anticipate Morbidity and Mortality Among Preterm Neonates: A Retrospective Study [J].
Go, Hayato ;
Ohto, Hitoshi ;
Nollet, Kenneth E. ;
Takano, Shunya ;
Kashiwabara, Nozomi ;
Chishiki, Mina ;
Maeda, Hajime ;
Imamura, Takashi ;
Kawasaki, Yukihiko ;
Momoi, Nobuo ;
Hosoya, Mitsuaki .
FRONTIERS IN PEDIATRICS, 2020, 8
[9]   Is MPV a Predictive Marker for Neonatal Sepsis? A Pilot Study [J].
Hanaganahalli, Sridevi B. ;
Sreeram, Saraswathy ;
Bompada, Mytreyi ;
Kuppannagari, Santosh K. ;
Suresh, Pooja K. ;
Philipose, Cheryl S. .
JOURNAL OF PEDIATRIC HEMATOLOGY ONCOLOGY, 2018, 40 (07) :548-552
[10]   Selected Biomarkers Correlate with the Origin and Severity of Sepsis [J].
Holub, Michal ;
Dzupova, Olga ;
Ruzkova, Michaela ;
Stranikova, Alzbeta ;
Bartakova, Eva ;
Maca, Jan ;
Benes, Jiri ;
Herwald, Heiko ;
Beran, Ondrej .
MEDIATORS OF INFLAMMATION, 2018, 2018