Threshold values of antibodies to estrogen, progesteron and benzo [a] pyrene as a risk factor for the development of endometriosis

Author(s):  
Natalia V. Artymuk ◽  
Vitaliy O. Chervov ◽  
Larissa N. Danilova ◽  
Elena G. Polenok ◽  
Olga Zotova

Abstract Objectives The objective of the study was to determine the level of antibodies (AB) of Ig classes A and G to estradiol (E2), progesterone (P) and benzo [a] pyrene (Bp) in patients with endometriosis of various severity and estimate their threshold values as a risk factor for the development of endometriosis. Methods A retrospective case–control study was performed. The study involved 200 women. Group I: women with endometriosis (n=100), Group II: patients with tubal-peritoneal infertility (n=100). All patients underwent immunological studies of blood serum; and the levels of steroid hormones (P, E2), antibodies to them and Bp were determined. A ROC analysis was carried out to identify threshold values of antibodies levels. Results Women with endometriosis were found to have statistically significantly higher levels of antibodies IgA and IgG to E2, P and benzo [a] pyrene compared to women of Group II. The threshold levels of IgA-Bp, IgA-E2 and IgA-P are >5 CU (conventional unit), IgG-Bp, IgG-E2>9 CU and IgG-P>8 CU. The level of IgG-P in patients with severe forms of endometriosis is statistically significantly higher than in minor forms of the disease. In case of severe forms, there is a tendency to increasing other classes of antibodies. Conclusions Patients with endometriosis usually have a higher level of IgA and IgG to Bp, E2, P. Their threshold values, which are risk factors for the development of the disease, are estimated.

BMJ Open ◽  
2021 ◽  
Vol 11 (11) ◽  
pp. e052582
Author(s):  
Martin Holmbom ◽  
Maria Andersson ◽  
Sören Berg ◽  
Dan Eklund ◽  
Pernilla Sobczynski ◽  
...  

ObjectivesThe aim of this study was to identify prehospital and early hospital risk factors associated with 30-day mortality in patients with blood culture-confirmed community-acquired bloodstream infection (CA-BSI) in Sweden.MethodsA retrospective case–control study of 1624 patients with CA-BSI (2015–2016), 195 non-survivors satisfying the inclusion criteria were matched 1:1 with 195 survivors for age, gender and microorganism. All forms of contact with a healthcare provider for symptoms of infection within 7 days prior CA-BSI episode were registered. Logistic regression was used to analyse risk factors for 30-day all-cause mortality.ResultsOf the 390 patients, 61% (115 non-survivors and 121 survivors) sought prehospital contact. The median time from first prehospital contact till hospital admission was 13 hours (6–52) for non-survivors and 7 hours (3–24) for survivors (p<0.01). Several risk factors for 30-day all-cause mortality were identified: prehospital delay OR=1.26 (95% CI: 1.07 to 1.47), p<0.01; severity of illness (Sequential Organ Failure Assessment score) OR=1.60 (95% CI: 1.40 to 1.83), p<0.01; comorbidity score (updated Charlson Index) OR=1.13 (95% CI: 1.05 to 1.22), p<0.01 and inadequate empirical antimicrobial therapy OR=3.92 (95% CI: 1.64 to 9.33), p<0.01. In a multivariable model, prehospital delay >24 hours from first contact remained an important risk factor for 30-day all-cause mortality due to CA-BSI OR=6.17 (95% CI: 2.19 to 17.38), p<0.01.ConclusionPrehospital delay and inappropriate empirical antibiotic therapy were found to be important risk factors for 30-day all-cause mortality associated with CA-BSI. Increased awareness and earlier detection of BSI in prehospital and early hospital care is critical for rapid initiation of adequate management and antibiotic treatment.


2018 ◽  
Vol 32 (2) ◽  
pp. 221-225 ◽  
Author(s):  
Zhewei Lou ◽  
Xianbo Yu ◽  
Yun Li ◽  
Honggang Duan ◽  
Pingping Zhang ◽  
...  

2019 ◽  
Vol 15 (12) ◽  
pp. 1731-1736 ◽  
Author(s):  
Ido Sadras ◽  
Joel Reiter ◽  
Nitzan Fuchs ◽  
Ira Erlichman ◽  
David Gozal ◽  
...  

Author(s):  
Dana Muin ◽  
Karin Windsperger ◽  
Nadia Attia ◽  
Herbert Kiss

Objectives: To externally validate the demographic setting of the online Fetal Medicine Foundation (FMF) Stillbirth Risk Calculator based upon maternal medical and obstetric history in a case-matched cohort. Design: Retrospective case-control study Setting: Tertiary referral hospital Population: 144 fetuses after singleton intrauterine fetal death (IUFD) and a matched control group of 247 singleton live births between 2003 and 2019 Methods: Nonparametric receiver operating characteristics (ROC) analysis was performed to predict the prognostic power of the risk score and to generate a cut-off value to discriminate best between the events of stillbirth versus live birth. Main Outcome Measures: FMF Stillbirth risk score Results: The IUFD cohort conveyed a significantly higher overall risk assessment with a median FMF Stillbirth risk score of 0.45% (0.19-5.70%) compared to live births [0.23% (0.18-1.30%); p<0.001]. Demographic factors mainly contributing to the increased risk were BMI (p=0.002), smoking (p<0.001), chronic hypertension (p=0.015), APS (p=0.017), type 2 diabetes (p<0.001) and need for insulin (p<0.001). ROC analysis to evaluate the discriminative ability of the FMF Stillbirth Risk Calculator showed an area under the curve (AUC) of 0.72 (95% CI 0.67–0.78; p<0.001). The FMF Stillbirth risk score at a cut-off level of 0.34% (OR 6.22; 95% CI 3.91–9.89; p<0.001) yielded a specificity of 82% and a sensitivity of 58% in predicting singleton antepartum stillbirths. Conclusion: The FMF Stillbirth Risk Calculator achieved a similar performance in our cohort of women as in the reference group.


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