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Int J Gynaecol Obstet ; 144(1): 21-26, 2019 Jan.
Article in English | MEDLINE | ID: mdl-30353543

ABSTRACT

OBJECTIVES: To determine the relationship between maternal serum uric acid levels and fetal/neonatal complications in women with pre-eclampsia/eclampsia, and to establish a predictive threshold value. METHODS: A diagnostic test and historical cohort study conducted by prospective cross-sectional data collection on pregnant women with pre-eclampsia/eclampsia at Hue University Hospital, Vietnam, between March 2015 and July 2017. Pre-eclampsia was diagnosed based on ACOG criteria. Serum uric acid levels were measured by enzymatic colorimetric testing using a Cobas c 501 analyzer (Roche Diagnostics, Mannheim, Germany). Fetal complications included intrauterine growth restriction, preterm delivery, fetal death, and neonatal death. RESULTS: There were 205 women enrolled. Serum uric acid at a cutoff of 393 µmol/L is a good predictor of fetal/neonatal complications (AUC 0.752), with 64.4% sensitivity and 79.5% specificity. High uric acid level (≥393 µmol/L) resulted in increased risk of preterm birth (OR 6.367, 95% CI 3.009-13.084), low Apgar scores (OR 5.514, 95% CI 1.877-16.198), intrauterine growth restriction (OR 7.188, 95% CI 3.592-14.382), and neonatal death (OR 7.818, 95% CI 1.614-37.867). There was no relationship between uric acid level and fetal death (OR 1.803, 95% CI 0.355-9.168). CONCLUSIONS: Maternal serum uric acid concentration is a good predictor of fetal/neonatal outcomes in women with pre-eclampsia/eclampsia.


Subject(s)
Eclampsia/blood , Fetal Growth Retardation/blood , Pre-Eclampsia/blood , Premature Birth/blood , Uric Acid/blood , Adult , Apgar Score , Cross-Sectional Studies , Female , Fetal Growth Retardation/etiology , Humans , Infant, Newborn , Predictive Value of Tests , Pregnancy , Pregnancy Outcome , Premature Birth/etiology , Prospective Studies , Severity of Illness Index , Vietnam
2.
Cancer ; 102(6): 373-9, 2004 Dec 25.
Article in English | MEDLINE | ID: mdl-15526273

ABSTRACT

BACKGROUND: The objectives of the current study were to compare the capabilities of conventional cervical cytology and of DNA image cytometry (DNA-ICM) in the prediction of progressive or regressive behavior in atypical squamous cells (ASC), low-grade squamous intraepithelial lesions (LSIL), and atypical glandular cells (AGC). METHODS: One hundred ninety-six women with Papanicolaou (Pap) smears that yielded diagnoses of ASC, LSIL, or AGC were included in a prospective cohort study. Slides were classified according to the Bethesda system. DNA-ICM was performed according to the consensus reports of the European Society of Analytical Cellular Pathology. RESULTS: Reference standard verification was available in 108 patients. The rate of DNA aneuploidy in Pap smears increased significantly from cervical intraepithelial neoplasia 1 (CIN1) (54%) and CIN2 (64.3%) to CIN3 or greater (CIN3+) (83.3%) in subsequent biopsies (P < 0.05). Using ASC, LSIL, and AGC as input cytologic diagnoses and >/= CIN2 as the output histologic diagnosis, the positive predictive values (PPVs) for conventional cytology and DNA-ICM were 35.2% and 65.9%, respectively (P < 0.001). The negative predictive value (NPV) of DNA-ICM was 85.0%. When >/= CIN3 was used as the output histologic diagnosis, conventional cytology had a PPV of 22.2%. The PPV and NPV of DNA-ICM were 43.9% and 93.3%, respectively. CONCLUSIONS: The results of the current study confirmed the prognostic validity of DNA image cytometry for differentiation between progressive and regressive lesions in patients with ASC, LSIL, and AGC diagnoses.


Subject(s)
Carcinoma, Squamous Cell/diagnosis , Carcinoma, Squamous Cell/genetics , DNA, Neoplasm/analysis , Image Cytometry , Uterine Cervical Dysplasia/diagnosis , Uterine Cervical Dysplasia/genetics , Uterine Cervical Neoplasms/diagnosis , Uterine Cervical Neoplasms/genetics , Adolescent , Adult , Aged , Cervix Uteri/cytology , Cohort Studies , Diagnosis, Differential , Disease Progression , Female , Humans , Middle Aged , Papanicolaou Test , Predictive Value of Tests , Prognosis , Software , Vaginal Smears
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