| Literature DB >> 32425496 |
Zi Di Lim1,2, Kok Tian Oo1,2, Evelyn Li Min Tai1,2, Ismail Shatriah1,2.
Abstract
PURPOSE: To evaluate the efficacy of the "weight, insulin-like growth factor 1, neonatal retinopathy of prematurity" (WINROP) algorithm in predicting retinopathy of prematurity (ROP) requiring treatment in Malaysia. PARTICIPANTS: This was a retrospective study involving premature infants with gestational age less than 32 weeks treated from September 2016 to March 2019 in Hospital Universiti Sains Malaysia. Clinical diagnosis was made based on Early Treatment Retinopathy of Prematurity study. Participants' weekly weight gain since birth was entered in the website (http://winrop.com), along with date of birth, gestational age and final clinical examination outcome. WINROP software signals an alarm if an infant is at high risk of developing ROP requiring treatment during weight data entry. By using the alarm status, the sensitivity and specificity of this algorithm for predicting ROP requiring treatment were obtained.Entities:
Keywords: WINROP; retinopathy of prematurity; sensitivity; specificity
Year: 2020 PMID: 32425496 PMCID: PMC7188201 DOI: 10.2147/OPTH.S247820
Source DB: PubMed Journal: Clin Ophthalmol ISSN: 1177-5467
Demographic Characteristics
| Characteristics | Premature Infants, n (%) |
|---|---|
| Gestational Age, Weeks | |
| Mean±SD | 29.3±1.7 |
| Range | 24–32 |
| Birth Weight, gram | |
| Mean±SD | 1072.8±240.2 |
| Range | 550–1490 |
| Ethnic | |
| Malay | 87 (94.6) |
| Chinese | 5 (5.4) |
| Indian | 0 (0.0) |
| Gender | |
| Male | 55 (59.7) |
| Female | 37 (41.3) |
Abbreviations: SD, standard deviation; ROP, retinopathy of prematurity
Mean Gestational Age and Birth Weight According to Alarm Status, ROP Requiring Treatment and ROP Staging Based on Clinical Examination
| Variables | n | Mean Gestational Age±SD | Mean Birth Weight±SD |
|---|---|---|---|
| WINROP Alarm Status | |||
| Alarm positive | 67 | 27.5±1.5 | 959.6±192.9 |
| Alarm negative | 25 | 29.9±1.9 | 1347.6±100.8 |
| ROP Requiring Treatment | |||
| Yes | 21 | 26.3±1.4 | 895.5±181.7 |
| No | 71 | 29.8±1.3 | 1120.7±234.8 |
| ROP Staging Based on Clinical Examination | |||
| No ROP | 53 | 29.1±1.6 | 1160.6±216.6 |
| Stage 1 | 15 | 27.6±2.0 | 947.1±201.2 |
| Stage 2 | 10 | 26.8±2.0 | 876.0±201.1 |
| Stage 3 | 14 | 27.1±1.6 | 923.8±203.3 |
Abbreviations: WINROP, weight insulin-like growth factor 1 neonatal retinopathy of prematurity; SD, standard deviation; ROP, retinopathy of prematurity.
Sensitivity, Specificity, Positive and Negative Predictive Values of WINROP
| WINROP Alarm Status | ROP Requiring Treatment | ROP Not Requiring Treatment/No ROP | Predictive Value |
|---|---|---|---|
| Alarm positive | 20 | 47 | PPV = 29.9% |
| Alarm negative | 1 | 24 | NPV = 96.0% |
| Sensitivity = 95.2% | Specificity = 33.8% |
Abbreviations: WINROP, weight insulin-like growth factor 1 neonatal retinopathy of prematurity; PPV, positive predictive value; NPV, negative predictive value.
Figure 1Distribution of infants requiring treatment in relation to timing of alarm from birth.
Comparison of Our Study with Participating Countries in the WINROP Study (2009–2020)
| Studies | Year | Country | No. of Infants | Sensitivity (%) | Specificity (%) | PPV (%) | NPV (%) |
|---|---|---|---|---|---|---|---|
| Hellstrom et al | 2009 | Sweden | 353 | 100.0 | 84.5 | 41.0 | NA |
| Hard et al | 2010 | Brazil | 366 | 90.5 | 55.0 | 10.0 | 99.0 |
| Wu et al | 2010 | USA | 318 | 100.0 | 81.7 | 34.6 | 100.0 |
| Wu et al | 2012 | USA and Canada | 1706 | 98.6 | 38.7 | 13.1 | 99.7 |
| Zepeda-Romero et al | 2012 | Mexico | 352 | 84.7 | 26.6 | NA | NA |
| Sun et al | 2013 | China | 590 | 89.3 | 89.0 | 45.9 | 98.8 |
| Choi et al | 2013 | Korea | 314 | 90.0 | 52.6 | 21.7 | 97.3 |
| Lundgren et al | 2013 | Sweden | 407 | 95.7 | 23.9 | 14.1 | 97.7 |
| Eriksson et al | 2014 | Sweden | 104 | 100.0 | 58.6 | 10.8 | 100.0 |
| Piyasena et al | 2014 | Scotland | 410 | 87.5 | 63.4 | 8.8 | 99.2 |
| Ko et al | 2015 | Taiwan | 148 | 64.7 | 55.0 | 15.7 | 92.3 |
| Kocak et al | 2016 | Turkey | 223 | 84.3 | 52.8 | 23 | 95.2 |
| Jagla et al | 2017 | Poland | 79 | 81.5 | 71.2 | 59.5 | 88.1 |
| Jung et al | 2017 | Canada | 483 | 81.8 | 53.3 | NA | NA |
| Sanghi et al | 2018 | India | 70 | 90.32 | 38.46 | 53.84 | 83.3 |
| Current study | 2020 | Malaysia | 92 | 95.2 | 33.8 | 29.9 | 96.0 |
Abbreviations: NA, not available; PPV, positive predictive value; NPV, negative predictive value.