| Title |
Predictors of maternal and fetal complications in SLE patients: a prospective study
|
|---|---|
| Published in |
Immunologic Research, November 2014
|
| DOI | 10.1007/s12026-014-8572-6 |
| Pubmed ID | |
| Authors |
Elisabetta Borella, Andrea Lojacono, Mariele Gatto, Laura Andreoli, Marco Taglietti, Luca Iaccarino, Edoardo Casiglia, Leonardo Punzi, Angela Tincani, Andrea Doria |
| Abstract |
The aim of the study was to evaluate predictors of disease flares during pregnancy and obstetric and fetal complications in a cohort of systemic lupus erythematosus (SLE) patients. One hundred and thirty-two pregnancies in 96 SLE patients were prospectively followed by monthly clinical and laboratory evaluations. Predictors of lupus flares, fetal and obstetric complications during pregnancy were identified performing stepwise logistic regression analysis. Maternal lupus flares occurred in 57 % of pregnancies and were being best predicted by the number of flares before conception. Manifestations during flares were best predicted by the same features occurred before conception: dermatological flares by skin rash, renal flares by nephritis, and hematological flares by hematological abnormalities. There were 110 live births and 22 fetal losses. Among live newborns, 22 % were premature. Fetal loss was best predicted by hypertension at conception; miscarriages by the amount of steroids taken during the last year before conception; stillbirth by the number of flares during the last year before conception; preterm birth by the coexistence of anti-phospholipid antibody syndrome and anti-double-stranded DNA antibody levels before conception; premature rupture of membranes by high ECLAM score during the 6 months before conception, small for gestation age by hypertension at conception; and preeclampsia by positive lupus anticoagulant. Some independent predictors of lupus flares and fetal and obstetric complications were identified, which can help the risk assessment of pregnancy in SLE patients. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Saudi Arabia | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 116 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | <1% |
| Unknown | 115 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 16 | 14% |
| Student > Master | 14 | 12% |
| Other | 11 | 9% |
| Student > Postgraduate | 9 | 8% |
| Student > Ph. D. Student | 9 | 8% |
| Other | 31 | 27% |
| Unknown | 26 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 63 | 54% |
| Agricultural and Biological Sciences | 3 | 3% |
| Nursing and Health Professions | 3 | 3% |
| Immunology and Microbiology | 2 | 2% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 2% |
| Other | 8 | 7% |
| Unknown | 35 | 30% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 16 November 2014.
All research outputs
#18,383,471
of 22,770,070 outputs
Outputs from Immunologic Research
#663
of 903 outputs
Outputs of similar age
#165,849
of 231,966 outputs
Outputs of similar age from Immunologic Research
#28
of 42 outputs
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