Prediction of severe retinopathy of prematurity using the winrop algorithm in a cohort from malopolska. A retrospective, single-center study
, , , and | Jan 02, 2018
About this article
Article Category: Original articles/Prace oryginalne
Published Online: Jan 02, 2018
Page range: 336 - 343
Received: May 22, 2017
Accepted: Jun 24, 2017
DOI: https://doi.org/10.34763/devperiodmed.20172104.336343
© 2017 Mateusz Jagła, Anna Peterko, Katarzyna Olesińska, Izabela Szymońska, Przemko Kwinta, published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.
Diagnostic performance of WINROP + surfactant therapy in predicting of type 1 ROP. Tabela IV. Diagnostyczna skuteczność WINROP + terapia surfaktantem w przewidywaniu ROP typu 1.
| Type 1 ROP |
Non-type 1 ROP |
|
|---|---|---|
| WINROP |
26 | 19 |
| WINROP |
1 | 33 |
| Sensitivity, % (95%CI) |
96.30 (81.03-99.91) | |
| Specificity, % (95%CI) |
63.46 (48.96-76.38) | |
| PPV, % (95%CI) | 57.78 (48.70-66.36) | |
| NPV, % (95%CI) | 97.06 (82.67-99.56) | |
| Cohen’s kappa coefficient |
0,51 | |
| AUC, (95%CI) | 0.80 (0.69-0.88) | |
Characteristics of the participating preterm infants. Tabela I. Charakterystyka grupy wcześniaków włączonych do badania.
| Characteristic |
All |
Non-type 1 ROP |
Type 1 ROP |
p value |
|---|---|---|---|---|
| Gender, male, n (%) |
49 (62) | 31 (60) | 18 (67) | 0.3591 |
| Gestational age, weeks, median (IQR) |
28 (26-30) | 29 (28-30,5) | 26 (25-27) | <0.0011 |
| Birth weight, g, median (IQR) |
1095 (900-1315) | 1216 (1055-1396,5) | 893 (760-1000) | <0.0011 |
| CRIB II score, median (IQR) |
7 (5-9) | 6 (4-7) | 9 (8-11) | 0.0011 < |
| GCS prenatal, n (%) |
47 (59) | 27 (52) | 20 (74) | 0.0472 |
| Surfactant, n (%) |
44 (56) | 24 (46) | 20 (74) | 0.0162 |
| IVH grade III or IV, n (%) |
9 (11) | 4 (8) | 5 (19) | 0.1442 |
| PDA ibu, n (%) | 35 (44) | 18 (35) | 17 (63) | 0.0152 |
| PDA lig, n (%) | 12 (15) | 3 (6) | 9 (33) | 0.0022 |
| Hyperglycaemia, |
10 (13) | 5 (10) | 5 (19) | 0.2522 |
| Sepsis, n (%) |
38 (48) | 21 (40) | 17 (63) | 0.0472 |
| NEC, n (%) | 4 (5) | 3 (6) | 1 (4) | 0.5772 |
| BPD, n (%) | 21 (27) | 6 (12) | 15 (56) | <0.0012 |
| Birth defects, n (%) |
11 (14) | 7 (13) | 4 (15) | 0.5572 |
Characteristics of 5 infants who developed type 1 ROP in the low-risk alarm group. Tabela II. Charakterystyka 5 noworodków które rozwinęły ROP typu 1 z grupy alarmu niskiego ryzyka.
| Gender |
Gestational age, weeks |
Birth weight |
BPD |
Sepsis |
Surfactant |
Hyperglycemia |
Anaemia |
IVH |
|
|---|---|---|---|---|---|---|---|---|---|
| 1 | Male |
26 | 1130 | + | + | + | - | + | + |
| 2 | Female |
26 | 1050 | - | - | + | - | - | - |
| 3 | Male |
28 | 1270 | - | - | - | - | - | - |
| 4 | Male |
24 | 800 | + | - | + | - | + | + |
| 5 | Male |
23 | 720 | + | + | + | - | + | + |
Diagnostic performance of WINROP in predicfing the type 1 ROP. Tabela III. Diagnostyczna skuteczność WINROP w przewidywaniu ROP typu 1
| Type 1 ROP |
Non-type 1 ROP |
|
|---|---|---|
| WINROP |
22 | 15 |
| WINROP |
5 | 37 |
| Sensitivity, % (95% CI) |
81.48 (61.92-93.70) | |
| Specificity, % (95% CI) |
71.15 (56.92-82.87) | |
| PPV, % (95% CI) | 59.46 (48.08-69.91) | |
| NPV, % (95% CI) | 88.10 (76.70-94.33) | |
| Cohen’s kappa coefficient |
0.483 | |
| AUC, (95% CI) | 0.76 (0.65 to 0.85) | |