Evidence map›Paper›PMID 30239051›Full record

ArticleJournal of clinical laboratory analysis2019

Blood routine test is a good indicator for predicting premature rupture of membranes.

Fengxia Zhan, Shuzhen Zhu, Haiying Liu, Qian Wang, Guanghui Zhao

Abstract read
In one paragraph

Article in Journal of clinical laboratory analysis, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

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0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Fengxia ZhanHospital of Shandong University, Jinan, China.
Shuzhen ZhuClinical Laboratory Medicine Center, Qilu Hospital of Shandong University, Jinan, China.
Haiying LiuDepartments of Obstetrics, Qilu Hospital of Shandong University, Qingdao, China.
Qian WangClinical Laboratory Medicine Center, Qilu Hospital of Shandong University, Jinan, China.
Guanghui ZhaoClinical Laboratory Medicine Center, Qilu Hospital of Shandong University, Jinan, China.ORCID http://orcid.org/0000-0001-9417-8421

Funding

Natural science foundation of Shandong Province ZR2017BH097Research Foundation of Qilu Hospital of Shandong University QDKY2016LH02
6 · The paper itself

Abstract

objectiveTo assess the value of blood routine test (blood RT) in order to predict the occurrence of premature rupture of membranes (PROM).

methodsA retrospective study was conducted to collect blood RT data from 100 cases of preterm premature rupture of membranes (pPROM), 70 cases of full-term premature rupture of membranes (fPROM), and 100 cases of full-term pregnancy (Normal). Nonparametric tests were performed for each blood routine parameter, the ROC curve was established for the parameters with significant difference, and the sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), positive likelihood ratios (+LR), and negative likelihood ratios (-LR) were further calculated.

resultsThe statistical results showed that WBC, NE.%, LY.%, EO.%, BA.%, NE.#, EO.#, RBC, HGB, HCT, and NLR were significantly different between pPROM and fPROM (P < 0.05). There was a significant difference in WBC, NE.%, LY.%, NE.#, MO.#, RBC, HGB, HCT, and NLR between the pPROM and Normal groups (P < 0.05). Between the fPROM and Normal groups, only WBC was statistically significant (P < 0.05). By establishing ROC curve, the results showed that when the cutoff value of WBC was 9.63 and NEU# was 7.12, their combined detection had the best predictive value with a sensitivity of 73% and a specificity of 81%. In addition, Its PPV was 79.3%, NPV was 75%, +LR was 3.84, and -LR was 0.33.

conclusionThe patient's blood RT results can be used to predict the risk of premature rupture of membranes, and in order to improve the sensitivity and specificity, multiple parameters can be combined.

Indexed as

FemaleHematologic TestsHumansNeutrophilsPredictive Value of TestsPregnancyPremature Rupture of Fetal MembranesRetrospective StudiesROC Curveblood routine testNEUprediction valuePROMWBC

Identifiers

PMID30239051
PMCPMC6818580

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.