[Awareness of cervical cancer prevention among patients of gynecological outpatient clinic]

Does the COVID-19 pandemic have an impact on fears and concerns among pregnant women?

Zabochnicki M et al., 2024 · Annales Academiae Medicae Silesiensis · Free to read

Wprowadzenie Objawy lękowe i depresyjne są powszechnymi objawami w okresie ciąży. Wystąpienie pandemii wirusa COVID-19 jest wyjątkowym stresorem, który wpłynął na psychologiczny aspekt przebiegu porodu. Celem pracy jest ocena wpływu pandemii COVID-19 na przebieg ciąży i porodu w populacji polskiej. Materiał i metody Grupę badawczą stanowiło 2186 kobiet. Badanie ankietowe zostało przeprowadzone w okresie od listopada 2020 r. do grudnia 2020 r. za pośrednictwem Internetu. Kryterium włączenia do badania były ciąża i poród w okresie pandemii COVID-19. Do oceny stopnia poziomu strachu i obaw wykorzystano pytania stworzone przez autorów z zastosowaniem pięciostopniowej skali Likerta. Wyniki U kobiet hospitalizowanych w czasie ciąży występował większy poziom strachu i obaw związanych z ciążą (średnia 30,9 vs 29,6; p = 0,007). Podobną zależność stwierdzono w przypadku kobiet, u których wykonano cesarskie cięcie (30,6 vs 29,5; p = 0,006) lub które były hospitalizowane > 7 dni (31,8 vs 29,7; p = 0,012). Stwierdzono również istotną statystycznie, choć słabą korelację pomiędzy średnimi wynikami pytań dotyczących obaw a liczbą hospitalizacji w czasie ciąży (współczynnik korelacji Pearsona r = 0,1654; p < 0,000). Wnioski Badanie wykazało alarmująco wysoki poziom lęku u kobiet w ciąży podczas pandemii COVID-19, co może mieć długoterminowe konsekwencje dla ich dzieci.

Diagnostic utility of translabial ultrasound in pelvic organ prolapse: a prospective observational study

Pietrus M et al., 2024 · Journal of obstetrics and gynaecology : the journal of the Institute of Obstetrics and Gynaecology · Free to read

The increasing awareness of women's health issues, specifically pelvic organ prolapse (POP) and urinary incontinence (UI), has spurred a surge in patients seeking specialised advice for these conditions, necessitating modern diagnostic approaches for such issues. This study explored the diagnostic utility of translabial ultrasound for POP, emphasising its correlation with clinical assessments based on International Continence Society (ICS) criteria. Seventy-one patients with POP Quantification System (POP-Q) stage 0-IV with or without UI were prospectively enrolled at Jagiellonian University Medical College between 2014 and 2016. The study objectives included evaluating diagnostic accuracy and concordance across pelvic compartments, correlating the diagnoses with patient-reported symptoms, and identifying variables contributing to diagnostic discrepancies. Translabial ultrasound identified POP in 74.5% of the patients, aligning closely with clinical evaluations. Concordance was the highest in assessments performed in the medial compartment (85.8%), while assessments performed in the anterior (29.6%) and posterior (29.6%) compartments showed higher rates of discrepancies. Correlation analyses showed varying associations, with the posterior compartment exhibiting the least pronounced correlation (R = 0.72, p < 0.0001). Self-perceive POP showed no discernible differences in relation to ultrasonographic and clinical assessments. Among the respondents, 55.9% reported experiencing the sensation of POP. Mean POP levels determined using the two approaches precisely matched in 46.5% of these cases. Discrepancies involved variables such as self-perceived POP, number of deliveries, child weight at birth, UI, and sexual activity. Translabial ultrasound showed robust correlation with clinical assessments for evaluating POP, especially for defining defects and facilitating treatment-related decision-making. Our findings highlight the reliability of this method, particularly for assessments in the medial compartment. The evidence did not indicate the superiority of either method in detecting POP disorders for symptomatic versus asymptomatic patients. Significantly, a higher POP-Q measurement in clinical examination was correlated with greater sexual activity.

Does the COVID-19 Pandemic Affect Labor-Related Anxiety and Prevalence of Depressive Symptoms in Pregnant Women?

Wikarek A et al., 2022 · Journal of clinical medicine · Free full text on PubMed Central

The COVID-19 pandemic undoubtedly had significant effects on women's health and the course of pregnancy. The aim of this single-center study was to explore the impact of the COVID-19 pandemic on adult pregnant and postpartum women's mental health, as well as to identify factors associated with depressive symptoms, anxiety and fear of delivery. The 465 women included in this questionnaire-based cohort study were divided into two groups: one (controls) of women who gave birth before (n = 190), and the second who were pregnant and delivered during the pandemic (n = 275). The COVID-19 pandemic affected the severity of self-reported anxiety regarding childbirth (mean scores 2.7 vs. 2.36, p = 0.01). The depression (19.84 ± 13.23) and anxiety (16.71 ± 12.53) scores were higher in pregnant women during the COVID 19 pandemic, compared to women who gave birth before the pandemic (8.21 ± 7.38 and 11.67 ± 9.23, respectively). These findings demonstrate the magnitude of the pandemic's impact on women's mental health, and actions to improve the mental health of pregnant women in Poland may be crucial for maternal and fetal well-being.

A 36-year-old pregnant woman with hyperimmunoglobulinemia E

Matyja MK et al., 2022 · Ginekologia polska · Free to read

Ranking lifestyle risk factors for cervical cancer among Black women: A case-control study from Johannesburg, South Africa

Singini MG et al., 2021 · PLoS One · Free full text on PubMed Central

Aside from human papillomavirus (HPV), the role of other risk factors in cervical cancer such as age, education, parity, sexual partners, smoking and human immunodeficiency virus (HIV) have been described but never ranked in order of priority. We evaluated the contribution of several known lifestyle co-risk factors for cervical cancer among black South African women. We used participant data from the Johannesburg Cancer Study, a case-control study of women recruited mainly at Charlotte Maxeke Johannesburg Academic Hospital between 1995 and 2016. A total of 3,450 women in the study had invasive cervical cancers, 95% of which were squamous cell carcinoma. Controls were 5,709 women with cancers unrelated to exposures of interest. Unconditional logistic regression models were used to calculate adjusted odds ratios (ORadj) and 95% confidence intervals (CI). We ranked these risk factors by their population attributable fractions (PAF), which take the local prevalence of exposure among the cases and risk into account. Cervical cancer in decreasing order of priority was associated with (1) being HIV positive (ORadj = 2.83, 95% CI = 2.53-3.14, PAF = 17.6%), (2) lower educational attainment (ORadj = 1.60, 95% CI = 1.44-1.77, PAF = 16.2%), (3) higher parity (3+ children vs 2-1 children (ORadj = 1.25, 95% CI = 1.07-1.46, PAF = 12.6%), (4) hormonal contraceptive use (ORadj = 1.48, 95% CI = 1.24-1.77, PAF = 8.9%), (5) heavy alcohol consumption (ORadj = 1.44, 95% CI = 1.15-1.81, PAF = 5.6%), (6) current smoking (ORadj = 1.64, 95% CI = 1.41-1.91, PAF = 5.1%), and (7) rural residence (ORadj = 1.60, 95% CI = 1.44-1.77, PAF = 4.4%). Conclunsion: This rank order of risks could be used to target educational messaging and appropriate interventions for cervical cancer prevention in South African women.

The influence of smoking and other cofactors on the time to onset to cervical cancer in a southern European population

Matos A et al., 2005 · Eur J Cancer Prev

Cervical cancer is a complex and multifactorial disease. Although there are substantial data supporting the causative role of persistent human papillomavirus (HPV) infection in the development of cervical cancer, the complete course of the disease has never been completely understood. Several risk cofactors have been suggested with controversial results. Portugal has the highest incidence of squamous cell carcinoma (SCC) within western Europe and there are no known studies regarding the role of cofactors in SCC. The aim of our study was to evaluate the role of smoking, sexual behaviour, reproductive and contraceptive history, in the time-to-onset (TTO) of severe cervical lesions (HGSIL/SCC) in the Portuguese population. We verified that age of first sexual intercourse under 18 years (odds ratio (OR) 2.8), pregnancy (OR 2.9), first pregnancy under 21 years (2.6), number of pregnancies (OR 2.3-5.4) and parity (OR 1.9-5.7) are risk factors in the development of cervical neoplasia. Smoke exposure index (SEI) was significantly different (P=0.002) between cases and controls. Our results regarding time-to-onset demonstrate that smoking (P<0.001, log rank test), number of sexual partners (P<0.001, log rank test) and use of oral contraceptives (P<0.001, log rank test) are important determinants in the earlier onset of severe cervical lesions. Using this approach, our findings may help to clarify the role of smoking and other cofactors in the persistence and progression of cervical lesions.

Recognizing Endometrial Cancer Risks in Perimenopausal and Postmenopausal Experiences: Insights From Community Qualitative Interviews and Workshop

Ibrahim M et al., 2024 · J Obstet Gynaecol Can · Free to read

To evaluate the experiences of perimenopausal and postmenopausal women in British Columbia, their perceptions of expected reproductive aging, and potential concerns about endometrial cancer (EC). We interviewed 31 midlife community women of diverse backgrounds and hosted a workshop for more in-depth discussion. We summarized relayed experiences and beliefs through a thematic and descriptive analysis of participant stories and workshop feedback. Participants demonstrated a somewhat simplistic understanding of midlife changes, facing this phase of life with a "tough-it-out" attitude rather than seeking medical help for arising symptoms. Awareness of EC and EC-specific risk factors, such as obesity, was low. Confusion between cervical and EC was common. Although abnormal bleeding was seen as potentially of concern, many opted to wait before seeking medical help. Workshop participants stressed the need to include awareness about EC in a broader conversation about perimenopause and menopause and suggested strategies for disseminating EC awareness. Community women in British Columbia demonstrated low awareness of EC-associated symptoms and risk factors. There is little information to help distinguish when perimenopausal abnormal uterine bleeding is of concern and when to seek help. This highlights the need to enhance knowledge of EC and its risk factors in perimenopause among the public and among health care providers.

Supervised Algorithms of Machine Learning for the Prediction of Cervical Cancer

Asadi F et al., 2020 · J Biomed Phys Eng · Free full text on PubMed Central

Compared to other genital cancers, cervical cancer is the most prevalent and the main cause of mortality in females in third-world countries, affected by different factors, including smoking, poor nutritional status, immune-deficiency, long-term use of contraceptives and so on. The present study was conducted to predict cervical cancer and identify its important predictors using machine learning classification algorithms. MATERIAL AND In a cross-sectional study, the data of 145 patients with 23 attributes, which referred to Shohada Hospital Tehran, Iran during 2017-2018, were analyzed by machine learning classification algorithms which included SVM, QUEST, C&R tree, MLP and RBF. The criteria measurement used to evaluate these algorithms included accuracy, sensitivity, specificity and area under the curve (AUC). The accuracy, sensitivity, specificity and AUC of Quest and C&R tree were, respectively 95.55, 90.48, 100, and 95.20, 95.55, 90.48, 100, and 95.20, those of RBF 95.45, 90.00, 100 and 91.50, those of SVM 93.33, 90.48, 95.83 and 95.80 and those of MLP 90.90, 90.00, 91.67 and 91.50 percentage. The important predictors in all the algorithms were found to comprise personal health level, marital status, social status, the dose of contraceptives used, level of education and number of caesarean deliveries. This investigation confirmed that ML can enhance the prediction of cervical cancer. The results of this study showed that Decision Tree algorithms can be applied to identify the most relevant predictors. Moreover, it seems that improving personal health and socio-cultural level of patients can be causing cervical cancer prevention.