Maternal oral health predicts their children's caries experience in adulthood.

The long-term effects of poor maternal oral health are unknown. We determined whether maternal oral health when children were young was a risk indicator for caries experience in adulthood, using oral examination and interview data from age-5 and age-32 assessments in the Dunedin Study, and maternal self-rated oral health data from the age-5 assessment. The main outcome measure was probands' caries status at age 32. Analyses involved 835 individuals (82.3% of the surviving cohort) dentally examined at both ages, whose mothers were interviewed at the age-5 assessment. There was a consistent gradient in age-32 caries experience across the categories of maternal self-rated oral health status (from the age-5 assessment): it was greatest among the probands whose mothers rated their oral health as "poor" or who were edentulous, and lowest among those whose mothers rated their oral health as "excellent". Unfavorable maternal self-rated oral health when children are young should be regarded as a risk indicator for poor oral health among offspring as they reach adulthood.

Hemorrhage detected using MR imaging in the setting of acute stroke: an in vivo model.

BACKGROUND AND PURPOSE: The treatment algorithm for acute cerebrovascular accidents has traditionally sorted these accidents as either hemorrhagic or nonhemorrhagic, and MR imaging, with its ability to allow expeditious assessment of vascular substrates and regional blood volume, is well suited for this purpose. Our purpose was to delineate the accuracy of MR imaging in acute, hemorrhagic forms of stroke during the time frame considered beneficial for intervention in an animal model. METHODS: Eighteen dogs with small, iatrogenic parenchymal, subarachnoid hemorrhage (SAH), or both were serially scanned over the initial 6-hour postictal period. Confirmatory pathologic specimens and 3-hour postictal CT scans were obtained in all animals. The MR and CT studies were then interpreted in a blinded fashion by two neuroradiologists for the presence of hemorrhage. The results were subjected to receiver operating characteristic analysis. RESULTS: MR imaging depicted acute parenchymal hemorrhage and SAH with a high degree of accuracy at 1.5 T. This finding was independent of each of the time points studied during the 6-hour window. For SAH, the MR accuracy for reader 1 was 0.86 (95% CI, 0.76-0.97); for reader 2, accuracy was 0.85 (95% CI, 0.71-0.99). The CT accuracy for the two readers was 0.42 (95% CI, 0.26-0.58) and 0.66 95% CI, 0.43-0.89), respectively. Fluid-attenuated inversion-recovery images improved the conspicuity of SAH on MR images and, along with spin-density-weighted spin-echo sequences, helped to establish the hemorrhagic nature. For parenchymal hemorrhage, the MR accuracy for reader 1 was 0.90 (95% CI, 0.81-0.99); for reader 2, accuracy was 0.93 (95% CI, 0.84-1.00). With CT, the accuracy of reader 1 was 0.91 (95% CI, 0.85-0.97) whereas for reader 2 accuracy was 0.76 (95% CI, 0.69-.83). Parenchymal hemorrhage detection and diagnosis was best with T2*-weighted gradient-echo images. CONCLUSION: MR imaging with appropriately selected sequences appears able to provide information regarding the presence (or absence) of hemorrhage in an acute stroke model requisite to the initiation of treatment.

Small-for-menstrual-age infants: different subgroups detected using individualized fetal growth assessment.

Our purpose was to study the individual fetal growth patterns of infants who were born small-for-menstrual-age. Growth in the second and third trimester was assessed in 98 small-for-menstrual-age infants, using individual fetal growth curves generated by the growth model: P = c(t)k+s(t). Growth indices were compared with those previously reported for that method in infants with normal growth. The small-for-menstrual-age infants were distributed into four growth patterns, ie, infants with either normal or decreased second-trimester growth indices, who, by the time of birth, succeed or fail in fulfilling their individual growth potential. These four growth patterns appear to be associated with different pathophysiological mechanisms and incidences of perinatal complications. Individual fetal growth assessment identifies differences in genetically determined growth and differentiates between fetuses who achieve their growth potential and those with growth failure who are at greater risk for fetal compromise.

Detection of intrauterine fetal growth retardation with abdominal circumference and estimated fetal weight using cross-sectional growth curves.

The usefulness of a cross-sectional growth curve method in the detection of intrauterine growth retardation by ultrasonography was evaluated for abdominal circumference and estimated fetal weight. The patient sample consisted of 771 women with singleton pregnancy who delivered within seven days of an ultrasound scan. One hundred fifty-one (19.6%) women had infants with birth weight below the 10th percentile for menstrual age. Of these infants, 72.2% were symmetrically growth retarded on the basis of their neonatal ponderal index. The neonatal weight outcomes were correlated with the abdominal circumference and estimated fetal weight percentile values. Both measurements were more specific than sensitive and had much higher negative than positive predictive values. The sensitivity was influenced by menstrual age, and severity and type of intrauterine growth retardation. Overall, estimated fetal weight was more accurate than abdominal circumference, but the difference was too small to be clinically important. Both measurements were better suited to confirm than to detect, exclude, or predict intrauterine growth retardation. Normal results predicted a normal neonatal weight outcome with a very high probability when the prevalence of the condition was low. In spite of the limitations of the cross-sectional method, both tests had strengths that can be advantageously used to enhance clinical decision making in the management of intrauterine growth retardation.

Effect of the pretest probability of intrauterine growth retardation on the predictiveness of sonographic estimated fetal weight in detecting IUGR: a clinical application of Bayes' theorem.

Four hundred and five women with singleton pregnancies and fetal age determination by crown-rump length were classified on the basis of their prenatal clinical findings into four risk categories for intrauterine growth retardation (IUGR), defined as a neonatal weight below the 10th percentile of age-dependent birth weight distribution curve. The incidence of IUGR in these four groups were 3.5% (very low risk), 20.6% (low risk), 49.6% (intermediate risk), and 88.0% (high risk). Severe growth retardation (birth weight less than 2.5th percentile) increased from 0% to 76.0% as the incidence of IUGR increased throughout the risk groups. The effect of these pretest risks on the prediction of severe IUGR by sonographic estimated fetal weight (EFW) was evaluated. The positive predictive value of the test, as well as the probability of having a growth-retarded infant after a normal EFW was obtained were considerably higher when the pretest probability of IUGR increased. In the very low risk group, the probability of severe IUGR was negligible regardless of the EFW. When the EFW was less than 10th percentile of our age-dependent EFW curve, the probability of severe IUGR in the other risk groups was high enough to warrant fetal well-being surveillance and/or timely interruption of gestation as appropriate. However, when the pretest probability was high, the risk of severe IUGR in spite of an EFW within the 10th percentile to 90th percentile remained sufficient to require fetal well-being surveillance as well. The study shows that placing ultrasound results in the context of the pretest risk of IUGR may improve clinical decision making in pregnancies complicated by fetal growth retardation.

Evaluation of fetal growth by ultrasonography in twin pregnancy: a comparison between individual and cross-sectional growth curve standards.

Cross sectional curves and individual fetal growth curves standards from the Rossavik growth model [P = c(t)(k + s(t]] were generated for abdominal and head circumferences, femur diaphysis length and estimated fetal weight from a sample of 59 women with twin pregnancy. These curves were compared to their counterparts in singleton pregnancies. Cross sectional curves of the four fetal anatomic parameters under study fell progressively below the curves for singletons during the last trimester of gestation. In contrast, there were few differences between individual fetal groWth curve standards for twin and singleton pregnancies. In 11 of the 59 patients, both methods were used to evaluate fetal growth in the last trimester of gestation. In 5 of these patients, fetal growth was normal by both methods in all 10 fetuses. In the 6 other patients, there were 3 fetuses with abormal estimated fetal weights (EFWs) by both population and individual standards. However, 3 fetuses had abnormal EFW's by populations standards but not by individual standards while the EFW of another fetus was abnormal by individual standards but not by population standards. These results illustrate that the cross-sectional approach to the assessment of growth in twins can be misleading and may lead to incorrect conclusions concerning the growth of these fetuses.

Influence of the interval between time points on individual fetal growth curve standards derived from Rossavik models and two ultrasound scans before 26 weeks, menstrual age.

We studied the influence of the interval between the two scans used before 26 weeks' menstrual age to generate individual fetal growth curve standards utilizing the Rossavik growth model: P = c(t) kappa + s(t) (model specification functions previously reported). Intervals of 3 weeks to 12 weeks were suitable for predicting the growth of the abdominal and head circumferences and femur diaphysis length in individual fetuses. However, large systematic and random errors were found with intervals less than 5 weeks for three-dimensional parameters such as the head and abdominal cubes and estimated fetal weight. In addition, the data suggest that the systematic errors for these latter parameters may increase with intervals of 10 weeks or more. Overall, optimal individual fetal growth curve standards were best generated from two scans before 26 weeks' menstrual age separated by 5 weeks to 9 weeks.

Prediction of normal fetal growth by the Rossavik growth model using two scans before 27 weeks, menstrual age.

Individual growth curve standards for five fetal anatomic parameters (head and abdominal circumferences, head and abdominal cubes, and femur diaphysis length) and estimated fetal weight were prospectively developed in 70 pregnant women who delivered infants with growth considered appropriate-for-menstrual age. For this purpose, we used the Rossavik growth model (P = c(t) kappa + s(t], model specification functions previously reported, and the data of two scans before 27.0 weeks of menstrual age, separated by an interval of at least 5 weeks. The anatomic parameters and estimated weights of these fetuses in the last 14 weeks of gestation were found to have values close to their projected standards. Whereas there was a significant, although small, systematic error of overprediction for most of the parameters and estimated fetal weight, deviations between observed and expected values were, with few exceptions, within the ranges established by Deter for normal growth. This study demonstrates that the Rossavik growth model could be used to predict normal fetal growth in a sample of patients different from those from which the model was developed.

Predictiveness of sonographic fetal weight estimation as a function of prior probability of intrauterine growth retardation.

We evaluated the predictiveness of sonographically estimated fetal weight as a function of the estimation of probability of having intrauterine growth retardation (IUGR) before obtaining an ultrasound scan (prior probability). The value of the estimated fetal weight resided more in its high specificity than in its sensitivity, hence in its ability to confirm that the fetus is normal. The predictiveness of the method was further enhanced when the fetal weight estimation was placed in the context of the prior probability of IUGR. In particular, the positive predictive value of the test as well as the likelihood of having a growth-retarded infant in spite of an estimated fetal weight within the normal range were considerably higher as the prior probability of IUGR increased. Since the obstetrician using all available evidence is likely to form a rather good estimate of the possibility of IUGR before ordering a scan, this improvement in the predictiveness of estimated fetal weight through a Bayesian approach can be advantageously applied to ultrasound analysis and can effectively support clinical decision making.

Influence of fetal growth patterns on sonographic estimation of fetal weight.

Six published fetal weight estimating regression models proposed for clinical use were evaluated in 259 pregnant women who delivered within 72 h of an ultrasound evaluation performed with sector scanner. The patient sample included 89 (33.2%) fetal weights that were below the 10th or above the 90th percentile for menstrual age. The actual mean percent error (systematic error), standard deviation (random error), and the number of large errors of prediction for all equations were greatest in fetuses that were small- and large-for-gestational age. Whereas there were no significant differences between equations for the patient sample as a whole, equation AC,BPD (Shepard) had the smallest systematic error in intrauterine growth retarded, premature, and normal-term fetuses less than 4000 g. Conversely, the systematic error of the models that included femur length was smallest at the upper end of the weight scale and in macrosomic fetuses in general. In that regard, the accuracy of fetal weight prediction could be increased by selecting the appropriate model for the proper clinical indications. Although these findings can be explained by the limitations of the current regression models in estimating fetal soft tissue mass, a subtle effect of the use of the sector scanner on the results of this study cannot be completely excluded and requires further investigation.

Minicomputer-based system for obstetric ultrasound analysis, with multi-user and networking capability.

A computer-assisted approach to the dating of gestation and the evaluation of fetal growth by ultrasonography that relies on a computer-based information management system of a general hospital is described. The system processes, stores, retrieves, and compares ultrasound data, and a report can be generated by the ultrasonographer while the patient is still on the examining table. A major feature is that the system can be accessed by any authorized user from any terminal within the hospital where obstetric ultrasound examinations are performed and from off-site physicians' offices. The large memory capacity, the networking among several data bases, and the statistical manipulation capabilities of the system make it ideal for clinical research.

Evaluation of the dating of gestation via the growth adjusted sonographic age method.

We compared the actual delivery dates of 248 normal pregnant women to the estimated dates of confinement (EDC) calculated from one biparietal diameter measurement (BPD) between 18 and 26 weeks of gestation and to the EDCs corrected by the growth adjusted sonographic age ( GASA ) method. The dating of gestation by those two ultrasound methods also was compared to the calculation of the gestational age from the last menstrual period in a subgroup of 61 women with highly reliable clinical data. The GASA method had no advantage over the dating of gestation using one single BPD measurement obtained before 26 weeks, nor over the dating of gestation using reliable menstrual data.

Relationship between Grade III placentas and biparietal diameter determinations.

Grade III placentas were found in 133 (12 per cent) of 1,082 pregnant women evaluated ultrasonographically after 20 weeks of gestation. Associated biparietal diameter measurements ranged from 7.2 to 10 cm. In 11 women with no complications known to accelerate fetal lung maturity or to induce premature placental maturation, grade III placentas were observed between 30 and 33 weeks of gestation. Gestational ages determined according to the growth adjusted sonographic age method of Sabbagha were accurate within one to three days. Considering the risk of hyaline membrane disease at those gestational ages, a grade III placenta cannot be equated with fetal lung maturity. Criteria other than placental grading should be used to assess the pulmonary status of the fetus.