Evidence map›Paper›PMID 39188606›Full record

ArticleWorld journal of clinical cases2024

Assessment of early factors for identification or prediction severe acute pancreatitis in pregnancy.

Li-Fen Mei, Quan Gan, Jing Hu, Yun-Xiang Li, Rui Tian, Cheng-Jian Shi

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Article in World journal of clinical cases, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Li-Fen MeiDepartment of Critical Care Medicine, Maternal and Child Health Hospital of Hubei Province, Wuhan 430000, Hubei Province, China.
Quan GanDepartment of Critical Care Medicine, Maternal and Child Health Hospital of Hubei Province, Wuhan 430000, Hubei Province, China.
Jing HuDepartment of Critical Care Medicine, Maternal and Child Health Hospital of Hubei Province, Wuhan 430000, Hubei Province, China.
Yun-Xiang LiDepartment of Critical Care Medicine, Maternal and Child Health Hospital of Hubei Province, Wuhan 430000, Hubei Province, China.
Rui TianDepartment of Biliary-Pancreatic Surgery, Tongji Hospital of Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, Hubei Province, China.
Cheng-Jian ShiDepartment of Biliary-Pancreatic Surgery, Tongji Hospital of Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, Hubei Province, China. chengj1010@sina.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAcute pancreatitis in pregnancy (APIP) is a rare and serious condition, and severe APIP (SAPIP) can lead to pancreatic necrosis, abscess, multiple organ dysfunction, and other adverse maternal and infant outcomes. Therefore, early identification or prediction of SAPIP is important.

aimTo assess factors for early identification or prediction of SAPIP.

methodsThe clinical data of patients with APIP were retrospectively analyzed. Patients were classified with mild acute pancreatitis or severe acute pancreatitis, and the clinical characteristics and laboratory biochemical indexes were compared between the two groups. Logical regression and receiver operating characteristic curve analyses were performed to assess the efficacy of the factors for identification or prediction of SAPIP.

resultsA total of 45 APIP patients were enrolled. Compared with the mild acute pancreatitis group, the severe acute pancreatitis group had significantly increased (

conclusionHR, NEUT%, NLR, and lymphocyte count can be used for early identification or prediction of SAPIP, and the combination of the four factors is expected to improve identification or prediction of SAPIP.

Indexed as

Clinical featuresEarly identification factorsEarly predictive factorsLaboratory biochemical indexSevere acute pancreatitis in pregnancy

Identifiers

PMID39188606
PMCPMC11269993

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