First-Trimester Prognosis When an Early Gestational Sac is Seen on Ultrasound Imaging: Logistic Regression Prediction Model

Risk Factors Are Not Very Risky Once a Normal Embryonic Heart Rate is Seen in Early Pregnancy

OBJECTIVES

To assess first-trimester prognosis when an early pregnancy sonogram demonstrates a normal embryonic heart rate and to determine how a number of risk factors affect prognosis.

METHODS

Our study population consisted of 6597 first-trimester scans with gestational age (GA) ≤ 7.0 weeks (all with crown-rump length [CRL] <10 mm), normal embryonic heart, and known first-trimester outcome. We recorded GA; CRL; heart rate; first-trimester outcome; maternal age; presence, absence, and size of subchorionic hematoma; presence or absence of vaginal bleeding; and presence, absence, and size of uterine fibroids. We assessed first-trimester outcome in the study population and subsets based on the above data.

RESULTS

First-trimester outcome was successful in 6030 of the 6597 cases (91.4%). The prognosis was somewhat worse with each of the following risk factors: maternal age ≥35 years, large subchorionic hematoma, and large or multiple uterine fibroids (P < .02, chi-squared or Cochran's test for trend, for all of these items). The rate of successful outcome was in the range of 83-88% with each of these risk factors and 93.8% in the absence of any of these factors.

CONCLUSIONS

The presence of a normal embryonic heart rate on an early first-trimester sonogram is a reassuring finding, indicating a likelihood of good first-trimester outcome of at least 83% even in the presence of risk factors, and of over 90% in the absence of such factors.

Immune cell profiling of vaginal blood from patients with early pregnancy bleeding

PROBLEM

Vaginal bleeding during early pregnancy is estimated to occur in 20% of all pregnancies and it is often difficult to predict who will ultimately miscarry. The role of immune cells in early pregnancy loss is poorly understood.

METHOD OF STUDY

In this prospective cohort study, 28 pregnant women presenting with first-trimester vaginal bleeding donated vaginal blood, peripheral venous blood, and saliva during their initial emergency room visit, and at a follow-up. The composition, frequency, and phenotype of immune cells in the vaginal blood were determined using flow cytometry. The proteome of serum and saliva was analyzed with OLINK proximity extension assay and correlated to vaginal immune cell phenotype and outcome of pregnancy. The course and outcome of pregnancies were followed and recorded.

RESULTS

Vaginal blood contained all main immune cell lineages including B cells, NK cells, T cells, and monocytes/macrophages. Notably, vaginal blood immune cells expressed tissue residency markers including CD49a. Women who subsequently miscarried had a higher frequency of vaginal blood CD49a+ NK cells compared to those who did not miscarry, and this correlated with serum levels of granzyme A and H, as well as CSF1, CAIX, and TWEAK. Women in the miscarriage group also had a higher frequency of peripheral blood T cells expressing CD49a.

CONCLUSIONS

Our study provides novel insight into human reproductive immunology in relation to miscarriage. Tissue-resident NK cells in vaginal blood alone or in combination with serological biomarkers hold potential as prognostic factors in the prediction of pregnancy outcome in women with early pregnancy bleedings.

Fourfold Improved Odds of a Good First Trimester Outcome Once a Yolk Sac Is Seen in Early Pregnancy

OBJECTIVES

To compare first trimester prognosis when an early pregnancy sonogram demonstrates a gestational sac with yolk sac versus gestational sac without yolk sac.

METHODS

Our study comprised 823 transvaginal sonograms without identifiable embryo performed at least 35 days from last menstrual period (LMP), in which mean sac diameter was <16 mm and first trimester outcome (live or early pregnancy loss) was known. We recorded the presence or absence of yolk sac, first trimester outcome, and several clinical features: maternal age, time since LMP, and presence or absence of vaginal bleeding. We compared the likelihood of a successful first trimester outcome in cases with a visible yolk sac to those without a yolk sac.

RESULTS

At the end of the first trimester, 113 of 270 (41.9%) cases without a yolk sac and 414 of 553 (74.9%) with a yolk sac were live (P < .000001, chi-square). This corresponds to an odds ratio of 4.14 for the presence of yolk sac, a result confirmed by logistic regression. Advanced maternal age, ≥42 days since LMP, and vaginal bleeding all carried an increased risk of loss (P < .000001, chi-square). Outcome was better with a visualized yolk sac than without a yolk sac, regardless of number of risk factors (P < .001, chi-square).

CONCLUSIONS

The odds of successful first trimester outcome are 4-fold higher when a yolk sac is seen on an early pregnancy sonogram than when no yolk sac is seen. For any level of risk, based on maternal age, vaginal bleeding, and time since LMP, outcome is significantly better when a yolk sac is seen.

Ectopic pregnancy: a resident's guide to imaging findings and diagnostic pitfalls

Ectopic pregnancy (EP) is a term used to describe any pregnancy which does not implant into the uterine cavity. There are several types of EPs: tubal, interstitial, ovarian, abdominal, heterotopic, cervical, and cesarean scar. Ectopic pregnancies can acutely rupture and are the number one cause of maternal death in the first trimester of pregnancy. Therefore, prompt recognition and accurate localization have significant clinical implications on patient outcome. Unfortunately, EPs have many mimickers, which can make the diagnosis challenging in certain cases. In this review, we aim to describe and illustrate sonographic findings of each type of EP, as well as present mimickers and various imaging pitfalls. We will clarify how to avoid potential misdiagnoses that could adversely affect patient outcomes. Lastly, we will briefly address management of each type of EP and discuss potential complications.

A Machine Learning-Based Investigation of Gender-Specific Prognosis of Lung Cancers

Background and Objective: Primary lung cancer is a lethal and rapidly-developing cancer type and is one of the most leading causes of cancer deaths. Materials and Methods: Statistical methods such as Cox regression are usually used to detect the prognosis factors of a disease. This study investigated survival prediction using machine learning algorithms. The clinical data of 28,458 patients with primary lung cancers were collected from the Surveillance, Epidemiology, and End Results (SEER) database. Results: This study indicated that the survival rate of women with primary lung cancer was often higher than that of men (p < 0.001). Seven popular machine learning algorithms were utilized to evaluate one-year, three-year, and five-year survival prediction The two classifiers extreme gradient boosting (XGB) and logistic regression (LR) achieved the best prediction accuracies. The importance variable of the trained XGB models suggested that surgical removal (feature “Surgery”) made the largest contribution to the one-year survival prediction models, while the metastatic status (feature “N” stage) of the regional lymph nodes was the most important contributor to three-year and five-year survival prediction. The female patients’ three-year prognosis model achieved a prediction accuracy of 0.8297 on the independent future samples, while the male model only achieved the accuracy 0.7329. Conclusions: This data suggested that male patients may have more complicated factors in lung cancer than females, and it is necessary to develop gender-specific diagnosis and prognosis models.