These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

144 related articles for article (PubMed ID: 31682271)

  • 1. Predicting Outcome in Neonates with Possible Clinical Sepsis by Estimating an Early Score for Neonatal Acute Physiology-II (SNAP-II).
    Pal S; Jain A; Garg M; Sekhar JC
    J Trop Pediatr; 2020 Aug; 66(4):377-384. PubMed ID: 31682271
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Score for neonatal acute physiology II predicts mortality and persistent organ dysfunction in neonates with severe septicemia.
    Sundaram V; Dutta S; Ahluwalia J; Narang A
    Indian Pediatr; 2009 Sep; 46(9):775-80. PubMed ID: 19430085
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Predicting deaths in a resource-limited neonatal intensive care unit in Nepal.
    Shrestha D; Dhoubhadel BG; Parry CM; Prajapati B; Ariyoshi K; Mahaseth C
    Trans R Soc Trop Med Hyg; 2017 Jul; 111(7):287-293. PubMed ID: 29029328
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Profile of neonates admitted in pediatric ICU and validation of Score for Neonatal Acute Physiology (SNAP).
    Vasudevan A; Malhotra A; Lodha R; Kabra SK
    Indian Pediatr; 2006 Apr; 43(4):344-8. PubMed ID: 16651674
    [TBL] [Abstract][Full Text] [Related]  

  • 5. [Predicting outcome in necrotizing enterocolitis with the score for neonatal acute physiology: a retrospective study of 62 cases].
    Lin HJ; Ma XL; Shi LP; Luo F; DU LZ
    Zhonghua Er Ke Za Zhi; 2013 May; 51(5):326-30. PubMed ID: 23941836
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Role of score for neonatal acute physiology (SNAP) in predicting neonatal mortality.
    Maiya PP; Nagashree S; Shaik MS
    Indian J Pediatr; 2001 Sep; 68(9):829-34. PubMed ID: 11669029
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Utilization of SNAP II and SNAPPE II Scores for Predicting the Mortality Rate Among a Cohort of Iranian Newborns.
    Radfar M; Hashemieh M; Fallahi M; Masihi R
    Arch Iran Med; 2018 Apr; 21(4):153-157. PubMed ID: 29693405
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Score for neonatal acute physiology: validation in three Kaiser Permanente neonatal intensive care units.
    Escobar GJ; Fischer A; Li DK; Kremers R; Armstrong MA
    Pediatrics; 1995 Nov; 96(5 Pt 1):918-22. PubMed ID: 7478836
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Change in Score for Neonatal Acute Physiology-II Measurements for Prediction of Mortality in Severely Septic Preterm Neonates.
    Anne RP; Sundaram V; Kumar P
    Indian J Pediatr; 2023 Apr; 90(4):348-354. PubMed ID: 35751836
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Neonatal mortality risk assessment using SNAPPE- II score in a neonatal intensive care unit.
    Muktan D; Singh RR; Bhatta NK; Shah D
    BMC Pediatr; 2019 Aug; 19(1):279. PubMed ID: 31409303
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Comparison of neonatal transport scoring systems and transport-related mortality score for predicting neonatal mortality risk.
    Sutcuoglu S; Celik T; Alkan S; Ilhan O; Ozer EA
    Pediatr Emerg Care; 2015 Feb; 31(2):113-6. PubMed ID: 25654677
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Postnatal SNAP-II scores in neonatal intensive care unit patients: relationship to sepsis, necrotizing enterocolitis, and death.
    Lim L; Rozycki HJ
    J Matern Fetal Neonatal Med; 2008 Jun; 21(6):415-9. PubMed ID: 18570120
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Outcome prediction in Greek neonatal intensive care units using a score for neonatal acute physiology (SNAP).
    Petridou E; Richardson DK; Dessypris N; Malamitsi-Puchner A; Mantagos S; Nicolopoulos D; Papas C; Salvanos H; Sevastiadou S; Sofatzis J; Trichopoulos D
    Pediatrics; 1998 Jun; 101(6):1037-44. PubMed ID: 9606232
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Role of TOPS (a simplified assessment of neonatal acute physiology) in predicting mortality in transported neonates.
    Mathur NB; Arora D
    Acta Paediatr; 2007 Feb; 96(2):172-5. PubMed ID: 17429899
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Score for Neonatal Acute Physiology: a physiologic severity index for neonatal intensive care.
    Richardson DK; Gray JE; McCormick MC; Workman K; Goldmann DA
    Pediatrics; 1993 Mar; 91(3):617-23. PubMed ID: 8441569
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Evaluation of Score for Neonatal Acute Physiology and Perinatal Extension II and Clinical Risk Index for Babies with additional parameters.
    Asker HS; Satar M; Yıldızdaş HY; Mutlu B; Özyurt BM; İpek MŞ; Sivaslı E; Taviloğlu Ş; Çelik Y; Özcan K; Burgut R; Ünal İ
    Pediatr Int; 2016 Oct; 58(10):984-987. PubMed ID: 26946229
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Role of procalcitonin, C-reactive protein, interleukin-6, interleukin-8 and tumor necrosis factor-alpha in the diagnosis of neonatal sepsis.
    Kocabaş E; Sarikçioğlu A; Aksaray N; Seydaoğlu G; Seyhun Y; Yaman A
    Turk J Pediatr; 2007; 49(1):7-20. PubMed ID: 17479639
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Toward the early diagnosis of neonatal sepsis and sepsis-like illness using novel heart rate analysis.
    Griffin MP; Moorman JR
    Pediatrics; 2001 Jan; 107(1):97-104. PubMed ID: 11134441
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Comparison of different neonatal illness severity scores in predicting mortality risk of extremely low birth weight infants.
    Yang Y; Chi X; Tong M; Zhou X; Cheng R; Pan J; Chen X
    Zhejiang Da Xue Xue Bao Yi Xue Ban; 2022 Feb; 51(1):73-78. PubMed ID: 35576116
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Sick Neonate Score--A Simple Clinical Score for Predicting Mortality of Sick Neonates in Resource Restricted Settings.
    Rathod D; Adhisivam B; Bhat BV
    Indian J Pediatr; 2016 Feb; 83(2):103-6. PubMed ID: 26365155
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.