Longitudinal Postnatal Weight Measurements for the Prediction of Retinopathy of Prematurity

Wu, Carolyn

doi:10.1001/archophthalmol.2010.31

Cited by 126 publications

(123 citation statements)

References 27 publications

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“…Infants with genetic metabolic diseases, congenital abnormalities, hydrocephalus, or a weight gain of more than 450 g in 1 week were excluded [11]. The data collected for the study included the following: GA at birth, BW, weekly postnatal weight measurements, sex, parity, blood gas levels, the presence of a blood transfusion, duration of mechanical ventilation and oxygen administration, ROP examination results, and the incidences of hypoglycemia, hyperbilirubinemia, bronchopulmonary dysplasia, intraventricular hemorrhage, hydrocephalus, necrotizing enterocolitis, and sepsis.…”

Section: Methodsmentioning

confidence: 99%

“…The differences between the expected weekly postnatal weight gain and the observed values were calculated and accumulated. When the accumulated sum exceeded a set limit, an alarm was triggered to indicate that the infant may be at risk for developing severe ROP [11]. Infants were classified into those for which an alarm was triggered and those for which an alarm was not triggered.…”

Section: Methodsmentioning

confidence: 99%

“…Although ROP is associated with multiple maternal and neonatal factors, such as infection, hyperoxia, immaturity, and BW [9,10], low BW and a preterm birth have long been considered potent predictors for ROP [1,7,11]. Postnatal oxygen administration was recognized as an additional risk factor [12], but the detrimental effects of oxygen administration have been minimized in many clinical settings in the developing world [13].…”

Section: Introductionmentioning

confidence: 99%

“…Postnatal oxygen administration was recognized as an additional risk factor [12], but the detrimental effects of oxygen administration have been minimized in many clinical settings in the developing world [13]. Postnatal weight gain, in contrast, has only recently received attention among clinicians as a novel method to independently predict which infants are at risk of developing sight-threatening ROP [7,11,14,15,16,17]. …”

Section: Introductionmentioning

confidence: 99%

“…Studies have validated this algorithm in Europe, South America, and the USA [7,11,15,19,20,21], but it has not yet been evaluated in a Chinese population. The aim of this study was to evaluate whether this algorithm also provided early prediction of the development of severe ROP in a population of premature infants in China.…”

Section: Introductionmentioning

confidence: 99%

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The Use of the WINROP Screening Algorithm for the Prediction of Retinopathy of Prematurity in a Chinese Population

et al. 2013

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Background: Retinopathy of prematurity (ROP) is a gestational age (GA)-related illness that can lead to blindness in premature infants. Timely screening of premature infants could improve visual prognosis. Objective: To evaluate the WINROP algorithm as a method of predicting severe ROP in a Chinese population. Methods: 590 infants with a GA <32 weeks wereentered into an online surveillance system (www.winrop.com) that included ROP evaluations and weekly weight measurements from birth to a corrected GA of 40 weeks. If the rate of weight gain decreased to a certain degree, the algorithm signaled an alarm that the infant was at risk for developing sight-threatening ROP. Each infant was categorized as having no, mild, or severe ROP. Results: Among the 590 infants with a GA <32 weeks, an alarm was triggered in 85 infants (14.4%), 50 of which developed severe ROP and were identified in this alarm group. Twenty-seven infants triggered the alarm signal in the first week after birth and 7 infants triggered the alarm at birth. Seven of the infants developed proliferative ROP and the median GA at birth for these infants was 31 weeks. Conclusions: The WINROP system had a sensitivity of 87.5% in a Chinese population for the early identification of infants that developed severe ROP. Postnatal weight gain may help predict ROP in lower birth weight infants.

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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The Use of the WINROP Screening Algorithm for the Prediction of Retinopathy of Prematurity in a Chinese Population

et al. 2013

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Predicting Proliferative Retinopathy in a Brazilian Population of Preterm Infants With the Screening Algorithm WINROP

Hård

Löfqvist²,

Filho³

et al. 2010

Arch Ophthalmol

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To retrospectively validate the WINROP (weight, insulinlike growth factor I, neonatal, retinopathy of prematurity [ROP]) algorithm in a Brazilian population. WINROP aims to predict ROP and is based on longitudinal weight measurements from birth until postmenstrual age 36 weeks. WINROP has predicted 100% of severe ROP in 3 neonatal intensive care unit settings in the United States and Sweden. Methods: In children admitted to the neonatal intensive care unit at Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil, from April 2002 to October 2008, weight measurements had been recorded once a week for children screened for ROP, 366 of whom had a gestational age of 32 weeks or less. The participating children had a median gestational age of 30 weeks (range, 24-32 weeks) at birth and their median birth weight was 1215 g (range, 505-2000 g). Results: For 192 of 366 children (53%), no alarm or lowrisk alarm after postmenstrual age 32 weeks occurred. Of these, 190 of 192 did not develop proliferative disease. Two boys with severe sepsis who were treated for ROP received low-risk alarms at postmenstrual age 33 and 34 weeks, respectively. The remaining 174 children (47%) received high-or low-risk alarms before or at 32 weeks. Of these infants, 21 (12%) developed proliferative ROP. Conclusions: In this Brazilian population, WINROP, with limited information on specific gestational age and date of weight measurement, detected early 90.5% of infants who developed stage 3 ROP and correctly predicted the majority who did not. Adjustments to the algorithm for specific neonatal intensive care unit populations may improve the results for specific preterm populations.

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Prediction of Retinopathy of Prematurity Using the Screening Algorithm WINROP in a Mexican Population of Preterm Infants

Zepeda-Romero¹,

Hård²,

Gómez-Ruiz³

et al. 2012

Arch Ophthalmol

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Longitudinal Postnatal Weight Measurements for the Prediction of Retinopathy of Prematurity

Cited by 126 publications

References 27 publications

The Use of the WINROP Screening Algorithm for the Prediction of Retinopathy of Prematurity in a Chinese Population

The Use of the WINROP Screening Algorithm for the Prediction of Retinopathy of Prematurity in a Chinese Population

Predicting Proliferative Retinopathy in a Brazilian Population of Preterm Infants With the Screening Algorithm WINROP

Prediction of Retinopathy of Prematurity Using the Screening Algorithm WINROP in a Mexican Population of Preterm Infants

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