Human chorionic gonadotrophin regression rate as a predictive factor of postmolar gestational trophoblastic neoplasm in high-risk hydatidiform mole: a case–control study

Author(s):  
Bo Wook Kim ◽  
Hanbyoul Cho ◽  
Hyunki Kim ◽  
Eun Ji Nam ◽  
Sang Wun Kim ◽  
...  
2020 ◽  
Vol 16 (1) ◽  
pp. 52-59
Author(s):  
Naina Kumar ◽  
Himani Agarwal

Background: Placenta plays a very important role in the growth and development of fetus. Objective: To know the correlation between placental weight and perinatal outcome in term antenatal women. Methods: Present prospective case-control study was conducted in the rural tertiary center of Northern India over one year (January-December 2018) on 1,118 term (≥37-≤42 weeks) antenatal women with singleton pregnancy fulfilling inclusion criteria with 559 women with high-risk pregnancy as cases and 559 low-risk pregnant women as controls. Placental weight, birth weight was measured immediately after delivery and compared between the two groups along with gestation, parity, fetal gender, and neonatal outcome. Statistical analysis was done using SPSS 22 version. Results: Mean placental weight [481.98±67.83 gm vs. 499.47±59.59 gm (p=.000)] and birth weight [2.68±0.53 Kg vs. 2.88±0.4 Kg (p=.000)] was significantly lower in high risk as compared to lowrisk participants, whereas placental birth weight ratio was higher in high-risk cases [18.35±2.37 vs. 17.41±1.38 (p=.000)] respectively. Placental weight was positively correlated with birth weight and placental weight and birth weight increased with increasing gestation in both cases and controls. Male neonates had higher placental weight [492.74±68.24 gm vs. 488±58.8 gm (p=0.224)] and birth weight [2.81±0.5 Kg vs. 2.74±0.45 Kg (p=0.033)] as compared to females. Neonatal Intensive Care Unit admission was significantly associated with low placental and birth weight (p=.000). Conclusion: There is a significant correlation between placental weight, birth weight and neonatal outcome, hence placental weight can be used as an indirect indicator of intrauterine fetal growth.


2000 ◽  
Vol 124 (3) ◽  
pp. 409-416 ◽  
Author(s):  
Y. YAZDANPANAH ◽  
L. BEAUGERIE ◽  
P. Y. BOËLLE ◽  
L. LETRILLIART ◽  
J. C. DESENCLOS ◽  
...  

The aim of this study was to identify risk factors for acute diarrhoea (AD) during the summer in France. A matched case-control study was conducted at a national level among patients of 500 general practitioners (GPs). From July to September 1996, 468 case-control pairs were included. Cases were more likely than controls (i) to live away from their main residence (OR 3·0; 95% CI 1·6–5·7), (ii) to have returned from a country at high risk of AD (OR 4·6; CI 0·9–23·1), and (iii) to have been in contact with a case of AD (OR 2·0; CI 1·3–3·1). A significantly decreased risk of AD was found for consumption of well-cooked chicken (OR 0·5; CI 0·3–0·8) and raw or undercooked home-made egg-containing products (OR 0·6; CI 0·4–0·8). These findings suggest that travel to high-risk areas, or travel within France, and being in contact with a case of AD, are risk factors for the occurrence of AD in summer in France.


2021 ◽  
Vol 39 (15_suppl) ◽  
pp. 10531-10531
Author(s):  
Anosheh Afghahi ◽  
Sydney Marsh ◽  
Alyse Winchester ◽  
Dexiang Gao ◽  
Hannah Parris ◽  
...  

10531 Background: Genomic assays, such as RS, are used to determine chemotherapy benefit in early-stage, estrogen receptor (ER)- and/or progesterone receptor (PR)-positive, HER2 negative BC patients (pts). Currently, guidelines to use pts’ germline genetic testing results to guide adjuvant therapy are lacking. Several reports have indicated worse outcomes for BC pts with g CHEK2 pathogenic variants (PV). We investigated whether PV in CHEK2 were associated with increased RS. Methods: Patient-level clinical data and RS were derived from electronic medical records of seven medical centers between years 2013-17. Confirmation of RS using the Genomic Health provider portal was performed. 38 pts with germline PV in CHEK2 (15 pts/39.5% with c.1100delC mutation) and RS score (cases) were matched with BC pts whose genetic testing did not identify PV (controls) using a 1:2 matching schema. Pts were matched based on age at diagnosis and lymph node (LN) status. LN negative pts were further matched based on T-stage. A multivariate random intercept linear mixed model of CHEK2 mutation status on RS was performed, adjusting for PR. A secondary ordinal univariate analysis was conducted that categorized RS into low, intermediate and high risk ( < 18, 18-30, and > 30, respectively). P-values were reported based on a null hypothesis of no effect against a two-sided alternative. Results: The median RS for cases was 19.5 (interquartile range [IQR]: 15 to 25) and the median RS for controls was 18 (IQR: 12 to 22). A greater proportion of cases were categorized as high risk (10.5%) compared to controls (5.6%), and a smaller proportion of cases were categorized as low risk (36.8%) compared to controls (49.3%). Cases had higher grade and increased proportion of PR-negative BC as compared with controls (grade 1: 12.1% of cases versus 32.4% of controls; PR-negative: 7.9% of cases versus 5.6% of controls). The variables used to match cases and controls (age, lymph node status, and T-stage) had similar summary statistics. The RS was 1.97-point higher in pts with g CHEK2 PV compared to controls, after adjusting for PR (95% confidence interval [CI]: 1.02-point lower to 4.96-point higher; p = 0.194). The secondary analysis of CHEK2 mutation status on an ordinal RS risk group yielded comparable results; on average, the odds of being high risk compared to the combined intermediate/low risk groups was 1.72 times higher in cases compared to controls (95% CI: 0.77 to 3.80; p = 0.181), but these differences were not significant. Conclusions: Our case-control study did not show a statistically higher RS for BC that develops in pts with g CHEK2 PV. Further studies are warranted to evaluate the association between type of CHEK2 PV (frameshift versus missense) and other modifying genetic variables and RS.


1997 ◽  
pp. 153 ◽  
Author(s):  
Andrijono Andrijono ◽  
Kukung Kurnia ◽  
Nur Asikin

Author(s):  
Cheng Peng ◽  
Chi Gao ◽  
Donghao Lu ◽  
Bernard A Rosner ◽  
Oana Zeleznik ◽  
...  

ABSTRACT Background Carotenoids represent 1 of few modifiable factors to reduce breast cancer risk. Elucidation of interactions between circulating carotenoids and genetic predispositions or mammographic density (MD) may help inform more effective primary preventive strategies in high-risk populations. Objectives We tested whether women at high risk for breast cancer due to genetic predispositions or high MD would experience meaningful and greater risk reduction from higher circulating levels of carotenoids in a nested case-control study in the Nurses’ Health Studies (NHS and NHSII). Methods This study included 1919 cases and 1695 controls in a nested case-control study in the NHS and NHSII. We assessed both multiplicative and additive interactions. RR reductions and 95% CIs were calculated using unconditional logistic regressions, adjusting for matching factors and breast cancer risk factors. Absolute risk reductions (ARR) were calculated based on Surveillance, Epidemiology, and End Results incidence rates. Results We showed that compared with women at low genetic risk or low MD, those with higher genetic risk scores or high MD had greater ARRs for breast cancer as circulating carotenoid levels increase (additive P-interaction = 0.05). Among women with a high polygenic risk score, those in the highest quartile of circulating carotenoids had a significant ARR (28.6%; 95% CI, 14.8–42.1%) compared to those in the lowest quartile of carotenoids. For women with a high percentage MD (≥50%), circulating carotenoids were associated with a 37.1% ARR (95% CI, 21.7–52.1%) when comparing the highest to the lowest quartiles of circulating carotenoids. Conclusions The inverse associations between circulating carotenoids and breast cancer risk appeared to be more pronounced in high-risk women, as defined by germline genetic makeup or MD.


2013 ◽  
Vol 172 (12) ◽  
pp. 314-314 ◽  
Author(s):  
P. C. Kelly ◽  
S. J. More ◽  
M. Blake ◽  
I. Higgins ◽  
T. Clegg ◽  
...  

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