Assessment of Neonatal Care Standard by the Predictive Model for Retinopathy of Prematurity Based on Weight Gain
Care of extremely premature infants is in constant need for evaluation and progress. WINROP, a predictive model based on weight gain, has been developed to reduce the number of stressful examinations for retinopathy for prematurity. Validation studies of WINROP emphasize the difference of applica...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Sestre Milosrdnice University hospital, Institute of Clinical Medical Research
2023-01-01
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| Series: | Acta Clinica Croatica |
| Subjects: | |
| Online Access: | https://hrcak.srce.hr/file/443544 |
| Summary: | Care of extremely premature infants is in constant need for evaluation and progress.
WINROP, a predictive model based on weight gain, has been developed to reduce the number
of stressful examinations for retinopathy for prematurity. Validation studies of WINROP emphasize
the difference of applicability in neonatal units of various practice. The aim of the study was to assess
the standard of neonatal care by WINROP. Data on extremely premature infants were collected
from medical records and entered in WINROP. High- and low-risk WINROP distribution and retinopathy
of prematurity outcomes were analyzed. Fifty-four infants, gestational age ≤28 weeks, were
included in the study after exclusion of weight related comorbidities. High risk was noted in 74%
(n=40) of infants with 24% (n=13) developing retinopathy of prematurity requiring treatment. In low
alarm group, there were 3 cases with severe disease. In conclusion, WINROP is not just a provider
of predictive information on the severity of retinopathy of prematurity. High-risk alarm indicates the
need of adjustment of nutritional strategies. Infants without pathological growth morbidities who
develop severe retinopathy of prematurity in low-risk group point to other risk factors for retinopathy
of prematurity to be evaluated and changed in future practice. |
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| ISSN: | 0353-9466 1333-9451 |