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Retinopathy of prematurity: a risk factor analysis with univariate and multivariate statistics
Insights
Retinopathy of prematurity (ROP) affects 11.4% of newborns. Statistical analysis revealed that while some factors like acidosis and ventilation are linked to ROP, others like oxygen exposure significance changes with different statistical methods.
Area of Science:
- Neonatal ophthalmology
- Perinatal medicine
- Biostatistics
Background:
- Retinopathy of prematurity (ROP) is a significant cause of visual impairment in premature infants.
- Understanding risk factors is crucial for prevention and management.
Purpose of the Study:
- To investigate the association between various clinical variables and the development of ROP in a cohort of newborns.
- To compare findings from univariate and multivariate statistical analyses regarding ROP risk factors.
Main Methods:
- Ophthalmoscopic examination of 639 newborns to identify ROP.
- Matching 66 ROP patients with controls based on gestational age, birth weight, and birth date.
- Univariate and multivariate statistical analyses to assess associations between clinical variables and ROP.
Main Results:
- Univariate analysis identified associations between ROP and oxygen exposure, elevated paO2, elevated paCO2, paCO2 fluctuations, acidosis, blood transfusions, and artificial ventilation.
- Multivariate analysis showed that gestational age, elevated paO2, elevated paCO2, paCO2 fluctuations, and blood transfusions lost significance.
- Acidosis, multiple birth, birth weight, high FiO2 exposure, duration of artificial ventilation, and hypocapnia (negative correlation) remained significant in the multivariate model.
Conclusions:
- Statistical significance of ROP risk factors can differ between univariate and multivariate analyses.
- Findings highlight the need for caution when interpreting significance levels and suggest potential explanations for conflicting literature.
- Multivariate analysis is valuable for relative comparisons but does not establish causality or inform prophylactic measures.
Abstract:
Seventy-three out of 639 ophthalmoscopically examined newborns (11.4%) showed varying degrees of retinopathy of prematurity (ROP). Three infants were blind (0.5%). Sixty-six patients were matched with controls according to gestational age, birth weight, birth date and neonatal unit. Using univariate statistics, the variables representing the extent of O2-exposure, elevated paO2, elevated paCO2, paCO2-fluctuations, acidosis, blood transfusions, and artificial ventilation were found to be significantly associated with ROP. In contrast, the variables representing hypocapnia, Hb-levels, parenteral fluid administration and fluid retention showed no correlation with ROP. When a multivariate statistical method was used, the variables representing gestational age, elevated paO2, elevated paCO2 and paCO2-fluctuations as well as the ones defining blood transfusions lost their association with ROP. Episodes of acidosis, multiple birth, birth weight, total hours with Fio2 greater than 0.4, and total duration of artificial ventilation remained in the regression, and hypocapnia gained a significant negative correlation with ROP. This comparative survey based on univariate and multivariate statistics demonstrates that significance levels of identically defined biological and therapeutic variables obtained from the same population of patients are to be interpreted with caution. This fact may also explain contrasting opinions on risk factors in the literature. Multivariate statistical analyses are useful for a relative comparison of significance within a given set of variables. Conclusions on a possible causal relationship as well as on prophylactic measures are not possible.