Literature DB >> 23023554

Transport Risk Index of Physiologic Stability, version II (TRIPS-II): a simple and practical neonatal illness severity score.

Shoo K Lee1, Khalid Aziz, Michael Dunn, Maxine Clarke, Lajos Kovacs, Cecil Ojah, Xiang Y Ye.   

Abstract

OBJECTIVE: Derive and validate a practical assessment of infant illness severity at admission to neonatal intensive care units (NICUs). STUDY
DESIGN: Prospective study involving 17,075 infants admitted to 15 NICUs in 2006 to 2008. Logistic regression was used to derive a prediction model for mortality comprising four empirically weighted items (temperature, blood pressure, respiratory status, response to noxious stimuli). This Transport Risk Index of Physiologic Stability, version II (TRIPS-II) was then validated for prediction of 7-day and total NICU mortality.
RESULTS: TRIPS-II discriminated 7-day (receiver operating curve [ROC] area, 0.90) and total NICU mortality (ROC area, 0.87) from survival. Furthermore, there was a direct association between changes in TRIPS-II at 12 and 24 hours and mortality. There was good calibration across the full range of TRIPS-II scores and the gestational age at birth, and addition of TRIPS-II improved performance of prediction models that use gestational age and baseline population risk variables.
CONCLUSION: TRIPS-II is a validated benchmarking tool for assessing infant illness severity at admission and for up to 24 hours after. Thieme Medical Publishers 333 Seventh Avenue, New York, NY 10001, USA.

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Year:  2012        PMID: 23023554     DOI: 10.1055/s-0032-1326983

Source DB:  PubMed          Journal:  Am J Perinatol        ISSN: 0735-1631            Impact factor:   1.862


  15 in total

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4.  Neonatal acute kidney injury risk stratification score: STARZ study.

Authors:  Sanjay Wazir; Sidharth Kumar Sethi; Gopal Agarwal; Abhishek Tibrewal; Rohan Dhir; Naveen Bajaj; Naveen Parkash Gupta; Shishir Mirgunde; Jagdish Sahoo; Binesh Balachandran; Kamran Afzal; Anubha Shrivastava; Jyoti Bagla; Sushma Krishnegowda; Ananth Konapur; Kritika Soni; Abhyuday Rana; Timothy Bunchman; Rupesh Raina
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5.  Neonatal outcome of small for gestational age infants born at 26-33 weeks' gestation in Chinese neonatal intensive care units.

Authors:  Yihuang Huang; Lan Zhang; Huiqing Sun; Cuiqing Liu; Yi Yang; Shoo K Lee; Yun Cao; Siyuan Jiang
Journal:  Transl Pediatr       Date:  2021-04

6.  Cardiovascular Pharmacological Support Among Preterm Infants in Chinese Referral Center Neonatal Intensive Care Units.

Authors:  Ningxin Luo; Siyuan Jiang; Patrick J McNamara; Xiaoying Li; Yan Guo; Yang Wang; Junyan Han; Yingping Deng; Yi Yang; Shoo K Lee; Yun Cao
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7.  Evaluation of specific quality metrics to assess the performance of a specialised newborn transport programme.

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Journal:  Eur J Pediatr       Date:  2020-01-28       Impact factor: 3.183

8.  A machine learning approach to estimating preterm infants survival: development of the Preterm Infants Survival Assessment (PISA) predictor.

Authors:  Marco Podda; Davide Bacciu; Alessio Micheli; Roberto Bellù; Giulia Placidi; Luigi Gagliardi
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9.  Predicting mortality risk for preterm infants using deep learning models with time-series vital sign data.

Authors:  Jiarui Feng; Jennifer Lee; Zachary A Vesoulis; Fuhai Li
Journal:  NPJ Digit Med       Date:  2021-07-14

Review 10.  A systematic review of neonatal treatment intensity scores and their potential application in low-resource setting hospitals for predicting mortality, morbidity and estimating resource use.

Authors:  Jalemba Aluvaala; Gary S Collins; Michuki Maina; James A Berkley; Mike English
Journal:  Syst Rev       Date:  2017-12-07
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