Can we stratify the risk for insulin need in women diagnosed early with gestational diabetes by fasting blood glucose?

Show simple item record

dc.contributor Sistema FMUSP-HC: Faculdade de Medicina da Universidade de São Paulo (FMUSP) e Hospital das Clínicas da FMUSP
dc.contributor.author SOUZA, Ana C. R. L. A. FMUSP-HC
COSTA, Rafaela A. FMUSP-HC
PAGANOTI, Cristiane F. FMUSP-HC
RODRIGUES, Agatha S.
ZUGAIB, Marcelo FMUSP-HC
HADAR, Eran
HOD, Moshe
FRANCISCO, Rossana P. V. FMUSP-HC
dc.date.issued 2019
dc.identifier.citation JOURNAL OF MATERNAL-FETAL & NEONATAL MEDICINE, v.32, n.12, p.2036-2041, 2019
dc.identifier.issn 1476-7058
dc.identifier.uri http://observatorio.fm.usp.br/handle/OPI/31755
dc.description.abstract Objective: The objective of this study is to evaluate risk factors and propose a model for the prediction of insulin requirement during the treatment of early-diagnosed gestational diabetes mellitus (GDM). Research design and methods: Retrospective cohort analysis of all pregnant women who were diagnosed with GDM by abnormal fasting blood glucose at the first prenatal visit. According to the requirement for insulin therapy to achieve good glycemic control (insulin or diet group), women were compared regarding clinical and laboratory variables. The performance of these variables in predicting insulin need for GDM treatment was identified by a logistic regression model, and a nomogram was created based on the model to facilitate clinical interpretation. Results: In total, 408 women were included for analysis. Among them, 135 (33%) needed insulin therapy. In the logistic regression model, maternal age, prepregnancy body mass index, fasting blood glucose (FBG) value, prior GDM, and family history of diabetes were significant independent variables for the prediction of insulin need. Conclusions: The need for insulin therapy in women with early diagnosis of GDM can be predicted by a logistic regression model, which can be converted to a clinically usable nomogram that could help to properly address follow-up strategies for GDM treatment in regions where health resources are limited.
dc.language.iso eng
dc.publisher TAYLOR & FRANCIS LTD
dc.relation.ispartof Journal of Maternal-Fetal & Neonatal Medicine
dc.rights restrictedAccess
dc.subject Fasting blood glucose; gestational diabetes; insulin; nomogram
dc.subject.other mellitus; management; pregnancy; therapy
dc.title Can we stratify the risk for insulin need in women diagnosed early with gestational diabetes by fasting blood glucose?
dc.type article
dc.rights.holder Copyright TAYLOR & FRANCIS LTD
dc.description.group LIM/57
dc.identifier.doi 10.1080/14767058.2018.1424820
dc.identifier.pmid 29301456
dc.type.category original article
dc.type.version publishedVersion
hcfmusp.author SOUZA, Ana C. R. L. A.:HC:ICHC
hcfmusp.author COSTA, Rafaela A.:HC:ICHC
hcfmusp.author PAGANOTI, Cristiane F.:HC:ICHC
hcfmusp.author ZUGAIB, Marcelo:FM:MOG
hcfmusp.author FRANCISCO, Rossana P. V.:FM:MOG
hcfmusp.author.external · RODRIGUES, Agatha S.:Univ Sao Paulo, Fac Med, Hosp Clin, Div Clin Obstet, Sao Paulo, Brazil
· HADAR, Eran:Tel Aviv Univ, Rabin Med Ctr, Helen Schneider Hosp Women, Tel Aviv, Israel; Tel Aviv Univ, Sackler Fac Med, Tel Aviv, Israel
· HOD, Moshe:Tel Aviv Univ, Rabin Med Ctr, Helen Schneider Hosp Women, Tel Aviv, Israel; Tel Aviv Univ, Sackler Fac Med, Tel Aviv, Israel
hcfmusp.origem.id WOS:000461363000017
hcfmusp.origem.id 2-s2.0-85041137935
hcfmusp.publisher.city ABINGDON
hcfmusp.publisher.country ENGLAND
hcfmusp.relation.reference · Alunni ML, 2015, DIABETES RES CLIN PR, V109, P135, DOI 10.1016/j.diabres.2015.04.027
· [Anonymous], 2017, DIABETES CARE, V40, pS1, DOI 10.2337/dc17-S001
· Avalos GE, 2013, DIABETES CARE, V36, P3040, DOI 10.2337/dc12-2669
· Barnes RA, 2016, DIABETOLOGIA, V59, P2331, DOI 10.1007/s00125-016-4047-8
· Flack JR, 2010, AUST NZ J OBSTET GYN, V50, P439, DOI 10.1111/j.1479-828X.2010.01218.x
· Hod M, 2015, INT J GYNECOL OBSTET, V131, pS173, DOI [10.1016/S0020-7292(15)30007-2, 10.1016/S0020-7292(15)30033-3]
· Hoffman L, 1998, MED J AUSTRALIA, V169, P93, DOI 10.5694/j.1326-5377.1998.tb140192.x
· Kuhn M., 2014, FUTILITY ANAL CROSS
· Kunh M., 2016, CARET CLASSIFICATION
· Mendez-Figueroa H, 2014, AM J PERINAT, V31, P105, DOI 10.1055/s-0033-1338174
· Metzger BE, 2010, DIABETES CARE, V33, P676, DOI 10.2337/dc09-1848
· Pertot T, 2011, DIABETES CARE, V34, P2214, DOI 10.2337/dc11-0499
· Sapienza AD, 2010, DIABETES RES CLIN PR, V88, P81, DOI 10.1016/j.diabres.2009.12.023
· Van Zee KJ, 2003, ANN SURG ONCOL, V10, P1140, DOI 10.1245/ASO.2003.03.015
· Zhu WW, 2013, DIABETES CARE, V36, P586, DOI 10.2337/dc12-1157
dc.description.index MEDLINE
dc.identifier.eissn 1476-4954
hcfmusp.citation.scopus 1
hcfmusp.citation.wos 1
hcfmusp.affiliation.country Brasil
hcfmusp.affiliation.country Israel


Files in this item

Files Size Format View

There are no files associated with this item.

This item appears in the following Collection(s)

Show simple item record

Search DSpace



Browse

My Account

Statistics