{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,19]],"date-time":"2026-10-19T15:40:07Z","timestamp":1792424407717,"version":"4.5.0"},"reference-count":28,"publisher":"Walter de Gruyter GmbH","license":[{"start":{"date-parts":[[2026,10,20]],"date-time":"2026-10-20T00:00:00Z","timestamp":1792454400000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec id=\"j_jpm-2026-0404_abs_001\">\n                    <jats:title>Objectives<\/jats:title>\n                    <jats:p>In preterm prelabour rupture of membranes (PPROM), prolonging pregnancy for fetal maturity is traded against infection risk, yet latency is entangled with gestational age. We examined its determinants and, disentangled from gestational age, its impact on fetomaternal outcome.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec id=\"j_jpm-2026-0404_abs_002\">\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>In a prospective tertiary-centre cohort, 96 singleton pregnancies with PPROM at 28\u201334\u00a0weeks, undelivered at 48\u202fh, were followed to delivery. Admission and pre-delivery haematological and ultrasound measures were recorded. Analyses included Kaplan\u2013Meier, restricted mean survival time, competing-risks and gestational-age-adjusted models.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec id=\"j_jpm-2026-0404_abs_003\">\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>Median latency was 5\u00a0days (IQR 3\u201311); 61\u202f% delivered within a week. Gestational age at admission was the only predictor (rho\u00a0\u22120.21, p=0.037); earlier-gestation women remained undelivered longer (restricted mean 10.5 vs. 6.4\u00a0days, p=0.006); amniotic fluid volume did not predict latency (oligohydramnios p=0.700; 6.6 vs. 9.0\u00a0days, p=0.084). Longer latency was associated with neonatal complications (OR 10.9), NICU admission (OR 3.4) and caesarean (OR 5.5). The near-zero crude latency\u2013birth-weight correlation reflected gestational-age suppression: at equal gestational age at admission, longer latency meant greater birth weight (+129\u202fg per 10\u00a0days, p=0.004), yet at equal age at delivery a lower weight (p=0.033). The neonatal-morbidity association persisted after adjustment (OR 1.21 per day). The serial total-leucocyte-count rise tracked chorioamnionitis (AUC 0.77), the neutrophil-to-lymphocyte ratio did\u00a0not.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec id=\"j_jpm-2026-0404_abs_004\">\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>Gestational age at admission, not amniotic fluid volume, governs latency. Prolonged latency is a genuine, double-edged trade-off, not a confounded marker of prematurity: at equal gestational age it yields maturational weight yet restrains growth-for-age and carries a gestational-age-independent morbidity and infection\u00a0risk.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1515\/jpm-2026-0404","type":"journal-article","created":{"date-parts":[[2026,10,19]],"date-time":"2026-10-19T14:55:31Z","timestamp":1792421731000},"source":"Crossref","is-referenced-by-count":0,"title":["Latency after preterm prelabour rupture of membranes vs. gestational age: a maturation\u2013growth trade-off"],"prefix":"10.1515","author":[{"ORCID":"https:\/\/orcid.org\/0009-0002-9091-6882","authenticated-orcid":false,"given":"Garima","family":"Garg","sequence":"first","affiliation":[{"name":"Department of Obstetrics and Gynaecology , Pt. B.D. Sharma Postgraduate Institute of Medical Sciences (PGIMS) , Rohtak , Haryana , India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0002-5427-3912","authenticated-orcid":false,"given":"Neetu","family":"Sangwan","sequence":"additional","affiliation":[{"name":"Department of Obstetrics and Gynaecology , Pt. B.D. Sharma Postgraduate Institute of Medical Sciences (PGIMS) , Rohtak , Haryana , India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5206-6827","authenticated-orcid":false,"given":"Shikha","family":"Madan","sequence":"additional","affiliation":[{"name":"Department of Obstetrics and Gynaecology , Pt. B.D. Sharma Postgraduate Institute of Medical Sciences (PGIMS) , Rohtak , Haryana , India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4067-9113","authenticated-orcid":false,"given":"Savita Rani","family":"Singhal","sequence":"additional","affiliation":[{"name":"Department of Obstetrics and Gynaecology , Pt. B.D. Sharma Postgraduate Institute of Medical Sciences (PGIMS) , Rohtak , Haryana , India"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"374","published-online":{"date-parts":[[2026,10,20]]},"reference":[{"key":"2026101914552832841_j_jpm-2026-0404_ref_001","doi-asserted-by":"crossref","unstructured":"Ohuma, EO, Moller, AB, Bradley, E, Chakwera, S, Hussain-Alkhateeb, L, Lewin, A, et al.. National, regional, and global estimates of preterm birth in 2020, with trends from 2010: a systematic analysis. 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