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2000
Volume 5, Issue 1
  • ISSN: 0250-6882
  • E-ISSN: 0250-6882
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Abstract

Objective

This study aimed to investigate the validity of the mean platelet volume (MPV) alone and MPV combined with the revised Clinical Risk Index for Babies (CRIB II) score to predict neonatal mortality in preterm infants.

Materials and Methods

This retrospective observational study performed between May 2018 and June 2021 included preterm neonates (gestational age 23–32 weeks) admitted to a tertiary neonatal intensive care unit (NICU) within 12 hours of birth, who were followed up until death or discharge. MPV was recorded at admission and within 72 hours before death or discharge. The CRIB II score variables were assessed within 12 hours of birth, and the area under the receiver operating characteristic curve (AUC) was calculated for the MPV and CRIB II scores to predict neonatal mortality.

Results

We investigated 404 newborns, of whom 28 (6.9%) died. The mean neonatal gestational age was 28.6±2.8 weeks. The MPV was significantly higher in non-survivors than in survivors (p=0.001). The AUC for the MPV and the CRIB II score was 0.68 (95% CI: 0.55–0.80) and 0.85 (95% CI: 0.79–0.91), respectively. The AUC for the MPV combined with the CRIB II score was 0.91 (95% CI 0.87–0.95). The difference in MPV at birth between survivors and non-survivors was statistically non-significant.

Conclusion

MPV was found to be a poorer predictor of neonatal mortality than the CRIB II score; however, MPV combined with the CRIB II score demonstrated significantly improved predictive ability for preterm infant mortality risk.

This is an open access article distributed under the terms of the Creative Commons Attribution 4.0 International Public License (CC-BY 4.0), a copy of which is available at: https://creativecommons.org/licenses/by/4.0/legalcode. This license permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
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2024-01-01
2025-07-11
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References

  1. The International Neonatal NetworkThe CRIB (clinical risk index for babies) score: a tool for assessing initial neonatal risk and comparing performance of neonatal intensive care units.Lancet1993342886519319810.1016/0140‑6736(93)92296‑68100927
    [Google Scholar]
  2. ParryG. TuckerJ. Tarnow-MordiW. CRIB II: An update of the clinical risk index for babies score.Lancet200336193711789179110.1016/S0140‑6736(03)13397‑112781540
    [Google Scholar]
  3. DammannO. ShahB. NaplesM. BednarekF. ZupancicJ. AllredE.N. LevitonA. Interinstitutional variation in prediction of death by SNAP-II and SNAPPE-II among extremely preterm infants.Pediatrics20091245e1001e100610.1542/peds.2008‑323319858146
    [Google Scholar]
  4. RastogiPK SreenivasV KumarN Validation of CRIB II for prediction of mortality in premature babies.Indian pediat.20102145±7
    [Google Scholar]
  5. WangJ. WangZ. ZhangM. LouZ. DengJ. LiQ. Diagnostic value of mean platelet volume for neonatal sepsis.Medicine20209932e2164910.1097/MD.000000000002164932769935
    [Google Scholar]
  6. ShaabanH.A. SafwatN. Mean platelet volume in preterm: A predictor of early onset neonatal sepsis.J. Matern. Fetal Neonatal Med.202033220621110.1080/14767058.2018.148816129886794
    [Google Scholar]
  7. BecchiC. Al MalyanM. FabbriL.P. MarsiliM. BoddiV. BoncinelliS. Mean platelet volume trend in sepsis: Is it a useful parameter?Minerva Anestesiol.200672974975616871155
    [Google Scholar]
  8. GuidaJ.D. KunigA.M. LeefK.H. McKenzieS.E. PaulD.A. Platelet count and sepsis in very low birth weight neonates: Is there an organism-specific response?Pediatrics200311161411141510.1542/peds.111.6.141112777561
    [Google Scholar]
  9. French Society of Anesthesia and Intensive Care MedicineScore CRIB II (Clinical Risk Index for Babies II).Available from: https://sfar.org/scores2/crib22.php (accessed 2020 July 3)
  10. BellM.J. TernbergJ.L. FeiginR.D. KeatingJ.P. MarshallR. BartonL. BrothertonT. Neonatal necrotizing enterocolitis. Therapeutic decisions based upon clinical staging.Ann. Surg.197818711710.1097/00000658‑197801000‑00001413500
    [Google Scholar]
  11. VolpeJ.J. Neurology of the Newborn4th Philadelphia, PAW.B. Saunders2001
    [Google Scholar]
  12. GreinerM. PfeifferD. SmithR.D. Principles and practical application of the receiver-operating characteristic analysis for diagnostic tests.Prev. Vet. Med.2000451-2234110.1016/S0167‑5877(00)00115‑X10802332
    [Google Scholar]
  13. HussainF. GilshenanK. GrayP.H. Does lactate level in the first 12 hours of life predict mortality in extremely premature infants?J. Paediatr. Child. Health.200945526326710.1111/j.1440‑1754.2009.01488.x19493117
    [Google Scholar]
  14. de FeliceC. del VecchioA. LatiniG. Evaluating illness severity for very low birth weight infants: CRIB or CRIB-II?J. Matern. Fetal Neonatal Med.200517425726010.1080/1476705050007255716147834
    [Google Scholar]
  15. GagliardiL. CavazzaA. BrunelliA. BattaglioliM. MerazziD. TandoiF. CellaD. PerottiG.F. PeltiM. StucchiI. FrisoneF. AvanziniA. BellùR. Assessing mortality risk in very low birthweight infants: A comparison of CRIB, CRIB-II, and SNAPPE-II.Arch. Dis. Child. Fetal Neonatal Ed.2004895F419F42210.1136/adc.2003.03128615321961
    [Google Scholar]
  16. DorlingJ.S. FieldD.J. ManktelowB. Neonatal disease severity scoring systems.Arch. Dis. Child. Fetal Neonatal Ed.2005901F11F1610.1136/adc.2003.04848815613564
    [Google Scholar]
  17. GreenwoodS. Abdel-LatifM.E. BajukB. LuiK. Can the early condition at admission of a high-risk infant aid in the prediction of mortality and poor neurodevelopmental outcome? A population study in Australia.J. Paediatr. Child Health201248758859510.1111/j.1440‑1754.2012.02430.x22452621
    [Google Scholar]
  18. GuentherK. VachW. KachelW. BruderI. HentschelR. Auditing neonatal intensive care: Is prem a good alternative to crib for mortality risk adjustment in premature infants?Neonatology2015108317217810.1159/00043341426278218
    [Google Scholar]
  19. GoodenM. YoungerN. TrotmanH. What is the best predictor of mortality in a very low birth weight infant population with a high mortality rate in a medical setting with limited resources?Am. J. Perinatol.201331644144610.1055/s‑0033‑135165823945903
    [Google Scholar]
  20. PollackM.M. KochM.A. BartelD.A. RapoportI. DhanireddyR. El-MohandesA.A.E. HarkavyK. SubramanianK.N.S. A comparison of neonatal mortality risk prediction models in very low birth weight infants.Pediatrics200010551051105710.1542/peds.105.5.105110790462
    [Google Scholar]
  21. LiY. YanJ. LiM. XiaoZ. ZhuX. PanJ. LiX. FengX. Addition of SNAP to perinatal risk factors improves the prediction of bronchopulmonary dysplasia or death in critically ill preterm infants.BMC Pediatr.201313113810.1186/1471‑2431‑13‑13824020335
    [Google Scholar]
  22. CatalF. TaymanC. TonbulA. AkçaH. KaraS. TatliM. OztekinO. BiliciM. Mean platelet volume (MPV) may simply predict the severity of sepsis in preterm infants.Clin. Lab.20146007/20141193120010.7754/Clin.Lab.2013.13050125134389
    [Google Scholar]
  23. KimC.H. KimS.J. LeeM.J. KwonY.E. KimY.L. ParkK.S. RyuH.J. ParkJ.T. HanS.H. YooT.H. KangS.W. OhH.J. An increase in mean platelet volume from baseline is associated with mortality in patients with severe sepsis or septic shock.PLoS One2015103e011943710.1371/journal.pone.011943725742300
    [Google Scholar]
  24. YeS. ZhangY. ZhangC. XuD. Are platelet volume indices related to mortality in hospitalized children on mechanical ventilation?J. Int. Med. Res.20184631197120810.1177/030006051773721129322854
    [Google Scholar]
  25. O’ConnorT.A. RingerK.M. GaddisM.L. Mean platelet volume during coagulase-negative staphylococcal sepsis in neonates.Am. J. Clin. Pathol.1993991697110.1093/ajcp/99.1.698422020
    [Google Scholar]
  26. OncelM.Y. OzdemirR. YurttutanS. CanpolatF.E. ErdeveO. OguzS.S. UrasN. DilmenU. Mean platelet volume in neonatal sepsis.J. Clin. Lab. Anal.201226649349610.1002/jcla.2155223143634
    [Google Scholar]
  27. Bolouki MoghaddamK. ZarkeshM. KamaliA. DaliliS. HeidarzadehA. Hassanzadeh RadA. The association of mean platelet volume with intra ventricular hemorrhage and broncho pulmonary dysplasia in preterm infants.Iran. J. Ped. Hematol. Oncol.20155422723226985356
    [Google Scholar]
  28. GiovanettiT.V. NascimentoA.J. PaulaJ.P. Platelet indices.Rev. Bras. Hematol. Hemoter.201133216416510.5581/1516‑8484.2011004023284267
    [Google Scholar]
  29. GoH. OhtoH. NolletK.E. TakanoS. KashiwabaraN. ChishikiM. MaedaH. ImamuraT. KawasakiY. MomoiN. HosoyaM. Using platelet parameters to anticipate morbidity and mortality among preterm neonates: A retrospective study.Front Pediatr.202089010.3389/fped.2020.0009032232019
    [Google Scholar]
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