<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Feng Z</submitter><funding>the Guangdong Basic and Applied Basic Research Foundation</funding><funding>the Plan on Enhancing Scientific Research in GMU</funding><funding>the National Natural Science Foundation of China</funding><pagination>988</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC12486792</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>25(1)</volume><pubmed_abstract>&lt;h4>Background&lt;/h4>Hypertensive disorders of pregnancy (HDP) significantly impact infant outcomes. However, evidence regarding HDP's effects on twin pregnancies remains limited and poorly characterized. This study aimed to investigate the impact of HDP on perinatal outcomes and neonatal complications in twin pregnancies.&lt;h4>Methods&lt;/h4>Data were collected from 22 medical centers across 12 Chinese provinces between January 2018 and December 2020. The primary variable of interest was HDP (including gestational hypertension and preeclampsia). Perinatal outcomes and neonatal complications were systematically assessed using multivariable logistic regression, propensity score matching, and overlap weighting (OW).&lt;h4>Results&lt;/h4>Among 6,307 twin pregnancies, 1,013 cases (16.1%) were diagnosed wit</pubmed_abstract><journal>BMC pregnancy and childbirth</journal><pubmed_title>The impact of hypertensive disorders of pregnancy on perinatal outcomes in twin pregnancies: a national multi-center cohort study.</pubmed_title><pmcid>PMC12486792</pmcid><funding_grant_id>82402011</funding_grant_id><funding_grant_id>GMUCR2025-01003</funding_grant_id><funding_grant_id>2024A1515220100</funding_grant_id><pubmed_authors>Qiu J</pubmed_authors><pubmed_authors>Liu J</pubmed_authors><pubmed_authors>Liu L</pubmed_authors><pubmed_authors>Meng Q</pubmed_authors><pubmed_authors>Jia C</pubmed_authors><pubmed_authors>Jiang H</pubmed_authors><pubmed_authors>Lin X</pubmed_authors><pubmed_authors>Wei X</pubmed_authors><pubmed_authors>Wei Y</pubmed_authors><pubmed_authors>Wu F</pubmed_authors><pubmed_authors>Ding Y</pubmed_authors><pubmed_authors>Wang Y</pubmed_authors><pubmed_authors>Shen W</pubmed_authors><pubmed_authors>Zhang A</pubmed_authors><pubmed_authors>Feng Z</pubmed_authors><pubmed_authors>Jin Y</pubmed_authors><pubmed_authors>Yang C</pubmed_authors><pubmed_authors>Yan W</pubmed_authors><pubmed_authors>Cui Q</pubmed_authors><pubmed_authors>Zhang W</pubmed_authors><pubmed_authors>Yang X</pubmed_authors><pubmed_authors>Tong XM</pubmed_authors><pubmed_authors>He Z</pubmed_authors><pubmed_authors>Zhang Y</pubmed_authors><pubmed_authors>Cai Y</pubmed_authors></additional><is_claimable>false</is_claimable><name>The impact of hypertensive disorders of pregnancy on perinatal outcomes in twin pregnancies: a national multi-center cohort study.</name><description>&lt;h4>Background&lt;/h4>Hypertensive disorders of pregnancy (HDP) significantly impact infant outcomes. However, evidence regarding HDP's effects on twin pregnancies remains limited and poorly characterized. This study aimed to investigate the impact of HDP on perinatal outcomes and neonatal complications in twin pregnancies.&lt;h4>Methods&lt;/h4>Data were collected from 22 medical centers across 12 Chinese provinces between January 2018 and December 2020. The primary variable of interest was HDP (including gestational hypertension and preeclampsia). Perinatal outcomes and neonatal complications were systematically assessed using multivariable logistic regression, propensity score matching, and overlap weighting (OW).&lt;h4>Results&lt;/h4>Among 6,307 twin pregnancies, 1,013 cases (16.1%) were diagnosed wit</description><dates><release>2025-01-01T00:00:00Z</release><publication>2025 Oct</publication><modification>2026-06-04T02:21:09.518Z</modification><creation>2026-05-04T03:13:38.19Z</creation></dates><accession>S-EPMC12486792</accession><cross_references><pubmed>41034731</pubmed><doi>10.1186/s12884-025-08042-9</doi></cross_references></HashMap>