Title of article :
Intra- and interobserver agreement and statistical clustering of placental histopathologic features relevant to preterm birth
Author/Authors :
Michael S. Kramer، نويسنده , , Moy Fong Chen، نويسنده , , Indrojit Roy، نويسنده , , Clément Dassa، نويسنده , , Julie Lamoureux، نويسنده , , Susan R. Kahn، نويسنده , , Helen McNamara، نويسنده , , Robert W. Platt and for the Montreal Prematurity Study Group، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2006
Abstract :
Objective
Many previous studies of agreement in identifying placental histopathologic lesions have been based on small sample sizes, and none has examined whether individual histologic features cluster robustly together within and between observers.
Study design
We studied 767 placental specimens from case-control studies of preterm birth and preeclampsia nested within a prospective cohort of pregnant women recruited from 4 large Montreal maternity hospitals. The specimens were fixed, embedded, stained, and examined using a standardized protocol; a 10% random sample (n = 81) was then blindly reexamined at least 6 months later by the same pathologist and a second pathologist.
Results
Intra- and interobserver agreement were high (κ ≥ 0.50) for membrane inflammation, funisitis, and umbilical cord vasculitis, and these 3 features were robustly clustered statistically, consistent with an underlying mechanism of ascending infection. Agreement and clustering were also high or moderate for features of placental underperfusion: infarction, decidual vasculopathy, and syncytial knotting.
Conclusion
Our results should help researchers to interpret future findings relating placental histopathology to preterm birth, preeclampsia, and other adverse pregnancy outcomes, and to their etiologic determinants and causal pathways.
Keywords :
Placental pathologyObserver agreementChorioamnionitisPlacental infarctionDecidual vasculopathy
Journal title :
American Journal of Obstetrics and Gynecology
Journal title :
American Journal of Obstetrics and Gynecology