Table 1_PROMISE—impact of maternal and neonatal risk factors on the respiratory outcome of extremely preterm infants following PPROM in the second trimester of pregnancy.docx

C. Brickmann's dataset on figshare contains clinical data from a retrospective analysis of 66 pregnancies with second-trimester prolonged preterm premature rupture of membranes (PPROM). It investigates associations between gestational age, amniotic fluid measurements, inflammatory signs, maternal characteristics, and neonatal respiratory outcomes. The data was published in April 2026.

Use Cases

• Predict respiratory outcome classification (no disease, dry lung, pulmonary hypoplasia, BPD, death) from gestational age at PPROM and at birth using logistic regression.
• Model the relationship between serial single deepest vertical pocket (SDP) measurements and the development of pulmonary hypoplasia using repeated-measures analysis.
• Identify independent risk factors for bronchopulmonary dysplasia (BPD) by analyzing associations with inflammatory signs and maternal age.
• Assess the distinct risk pattern for dry lung syndrome by comparing its weaker associations to gestational age and amniotic fluid parameters against other outcomes.

Strengths

• Includes 66 pregnancy cases with detailed longitudinal tracking.
• Analyzes multiple risk factors: gestational age, amniotic fluid status (SDP), inflammatory signs, and maternal characteristics.
• Data supports multifactorial analysis with ordered groupings and trend testing for gestational age variables.

Limitations

• Small sample size of 66 pregnancies limits statistical power for rare outcomes.
• Retrospective study design may introduce selection bias or unmeasured confounding factors.
• Geographic and institutional origin of the data is unknown, limiting generalizability.

Provenance

Source

C. Brickmann via figshare.

Collection Method

Retrospective analysis of clinical pregnancies with second-trimester PPROM and prolonged latency.

Freshness

Last updated in April 2026.