LONGITUDINAL DISCRIMINANT ANALYSIS WITH RANDOM EFFECTS FOR PREDICTING PREECLAMPSIA USING HEMATOCRIT DATA

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

NASIRI M.; FAGHIHZADEH S.; ALAVI MAJD H.; KARIMAN N.; SAFAVI ARDEBILI N.

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: Preventive Care in Nursing and Midwifery Journal Year:2015 | Volume:4 | Issue:2 Page(s): 35-44

Download Full-Text

Persian Verion

View:

728

Download:

Cites:

Information Journal Paper

Title

LONGITUDINAL DISCRIMINANT ANALYSIS WITH RANDOM EFFECTS FOR PREDICTING PREECLAMPSIA USING HEMATOCRIT DATA

Author(s)

Keywords

DISCRIMINANT ANALYSISQ2

LONGITUDINAL DATAQ2

RANDOM EFFECTSQ2

PREECLAMPSIAQ3

HEMATOCRITQ2

IRANQ2

Abstract

Background and Objectives: PREECLAMPSIA is the third leading cause of death in pregnant women. This study was conducted to evaluate the ability of longitudinal HEMATOCRIT data to predict PREECLAMPSIA and to compare the accuracy in longitudinal and cross-sectional data.Materials and Methods: In a prospective cohort study from October 2010 to July 2011, 650 pregnant women referred to the prenatal clinic of Milad hospital in Tehran were selected. The HEMATOCRIT level was measured in the first, second and third trimester of pregnancy and the participants were followed-up to delivery. The PREECLAMPSIA cases were recorded. The Covariance pattern and linear mixed effects models were applied for DISCRIMINANT ANALYSIS of the LONGITUDINAL DATA. Statistical analyses were performed in the SPSS-20 and SAS-9.1.Results: The prevalence rate of PREECLAMPSIA was 7.2% (47 out of 650 women). The women with PREECLAMPSIA had a higher meanhematocrit values (difference=0.99; P=0.014). The sensitivities for LONGITUDINAL DATA and cross-sectional data in three trimesters were 91%, 54%, 72%, 51% and the specificities were 61%, 51%, 51%, and 47%, respectively. The positive predictive values were 70%, 52%, 59%, 49% and the negative predictive values were 87%, 53%, 64%, and 49%, respectively.Conclusion: The levels of HEMATOCRIT can be used to predict PREECLAMPSIA and to monitor the pregnant women. Measuring the HEMATOCRIT during the three trimesters regularly can help to identify women at risk for PREECLAMPSIA.

Cites

No record.

References

No record.

Cite

APA: Copy

NASIRI, M., FAGHIHZADEH, S., ALAVI MAJD, H., KARIMAN, N., & SAFAVI ARDEBILI, N.. (2015). LONGITUDINAL DISCRIMINANT ANALYSIS WITH RANDOM EFFECTS FOR PREDICTING PREECLAMPSIA USING HEMATOCRIT DATA. PREVENTIVE CARE IN NURSING & MIDWIFERY JOURNAL, 4(2), 35-44. SID. https://sid.ir/paper/239209/en

Vancouver: Copy

NASIRI M., FAGHIHZADEH S., ALAVI MAJD H., KARIMAN N., SAFAVI ARDEBILI N.. LONGITUDINAL DISCRIMINANT ANALYSIS WITH RANDOM EFFECTS FOR PREDICTING PREECLAMPSIA USING HEMATOCRIT DATA. PREVENTIVE CARE IN NURSING & MIDWIFERY JOURNAL[Internet]. 2015;4(2):35-44. Available from: https://sid.ir/paper/239209/en

IEEE: Copy

M. NASIRI, S. FAGHIHZADEH, H. ALAVI MAJD, N. KARIMAN, and N. SAFAVI ARDEBILI, “LONGITUDINAL DISCRIMINANT ANALYSIS WITH RANDOM EFFECTS FOR PREDICTING PREECLAMPSIA USING HEMATOCRIT DATA,” PREVENTIVE CARE IN NURSING & MIDWIFERY JOURNAL, vol. 4, no. 2, pp. 35–44, 2015, [Online]. Available: https://sid.ir/paper/239209/en

Related Journal Papers