Predicting Intensive Care Unit Admission in COVID-19-Infected Pregnant Women Using Machine Learning DOI Open Access
Azamat Mukhamediya, Iliyar Arupzhanov, Amin Zollanvari

et al.

Journal of Clinical Medicine, Journal Year: 2024, Volume and Issue: 13(24), P. 7705 - 7705

Published: Dec. 17, 2024

Background: The rapid onset of COVID-19 placed immense strain on many already overstretched healthcare systems. unique physiological changes in pregnancy, amplified by the complex effects pregnant women, rendered prioritization infected expectant mothers more challenging. This work aims to use state-of-the-art machine learning techniques predict whether a COVID-19-infected woman will be admitted ICU (Intensive Care Unit). Methods: A retrospective study using data from women one hospital Astana and Shymkent, Kazakhstan, May July 2021. developed platform implements compares performance eight binary classifiers, including Gaussian naïve Bayes, K-nearest neighbors, logistic regression with L2 regularization, random forest, AdaBoost, gradient boosting, eXtreme linear discriminant analysis. Results: Data 1292 were analyzed. Of them, 10.4% ICU. Logistic regularization achieved highest F1-score during model selection phase while achieving an AUC 0.84 test set evaluation stage. Furthermore, feature importance analysis conducted calculating Shapley Additive Explanation values points leucocyte counts, C-reactive protein, pregnancy week, eGFR hemoglobin as most important features for predicting admission. Conclusions: predictive obtained here may efficient support tool prioritizing care clinical practice.

Language: Английский

The Importance of Vaccination, Variants and Time Point of SARS-CoV-2 Infection in Pregnancy for Stillbirth and Preterm Birth Risk: An Analysis of the CRONOS Register Study DOI Open Access
Antonella Iannaccone, Alexandra Gellhaus,

Beatrix Reisch

et al.

Journal of Clinical Medicine, Journal Year: 2024, Volume and Issue: 13(6), P. 1522 - 1522

Published: March 7, 2024

Background: The risk of preterm birth (PTB) and stillbirth increases after a SARS-CoV-2 infection during gestation. We aimed to estimate the depending on gestational age at (early <28 + 0 late ≥28 weeks gestation, WoG), virus variants, severity infection, vaccination. Methods: PTB was divided into early (<32 0) (32 0–36 6 WoG). prospective register COVID-19 Related Obstetrics Neonatal Outcome Study (CRONOS) included 8032 pregnant women with confirmed from 3 April 2020 31 December 2022, in Germany Austria. Results: Stillbirth births rates were higher Alpha (1.56% 3.13%) Delta 3.44%) waves than Omicron wave (0.53% 1.39%). Early increased for (aRR 5.76, 95% CI 3.07–10.83) before 32 (aRR, 6.07, 3.65–10.09). Hospital admission risks further, especially case ICU admission. Vaccination against significantly reduced 0.32, 0.16–0.83). Conclusions: This multicentric study shows an pregnancy therefore importance obstetrical surveillance thereafter. offers effective protection.

Language: Английский

Citations

6
SARS-CoV-2 Infection and Its Association with Maternal and Fetal Redox Status and Outcomes: A Prospective Clinical Study DOI Open Access
Marija Bicanin Ilic, Tamara Nikolić Turnić, Igor Ilić

et al.

Journal of Clinical Medicine, Journal Year: 2025, Volume and Issue: 14(5), P. 1555 - 1555

Published: Feb. 26, 2025

Background: The impact of the SARS-CoV-2 viral infection during pregnancy on fetus can be direct—transmitted through placenta—and indirect—creating unfavorable conditions for development because inflammation, micro-thrombosis, and hypercoagulation. Our study aimed to determine types frequency pathohistological changes in placental tissue SARS-CoV-2-positive pregnant women examine possible role oxidative stress prognosis delivery its maternal fetal complications. Methods: This prospective clinical included 50 divided into two groups, positive (COVID-19 group) negative (control group), from who we collected demographic, clinical, obstetric, biochemical pathologic data. Data about newborn characteristics were also collected, which anamnestic, Results: values superoxide anion radical index lipid peroxidation significantly different mothers concerning presence infection, while levels nitric oxide, peroxidation, reduced glutathione, dismutase newborns depending infection. Newborn similar between groups except concentrations IgM antibody. incidence FVM type COVID-19 group was 46%, control group, 18%. Conclusions: confirmed significant parameters stress-mediated dysfunction. Future studies should performed with more participants follow-up neonatal development.

Language: Английский

Citations

0
A Meta-Analysis of the Global Stillbirth Rates during the COVID-19 Pandemic DOI Open Access
Manoj Mohan,

Kwabena Appiah-Sakyi,

Ashok Oliparambil

et al.

Journal of Clinical Medicine, Journal Year: 2023, Volume and Issue: 12(23), P. 7219 - 7219

Published: Nov. 21, 2023

COVID-19 has been shown to have variable adverse effects on pregnancy. Reported data stillbirth rates during the pandemic have, however, inconsistent—some reporting a rise and others no change. Knowing precise impact of stillbirths should help with planning delivery antenatal care. Our aim was, therefore, undertake meta-analysis determine rate. Databases searched included PubMed, Embase, Cochrane Library, ClinicalTrials.gov, Web Science, language restriction. Publications women COVID-19, comparing in non-COVID-19 women, as well comparisons before pandemic, were included. Two independent reviewers extracted separately then compared them ensure accuracy extraction synthesis. Where incomplete, authors contacted for additional information, which was if provided. The main outcome measures (1) (SB) rate pregnant (2) without same period, (3) population pre-pandemic periods. A total 29 studies meta-analysis; from 17 these, SB 7 per 1000 COVID-19. This much higher (34/1000) low- middle-income countries. odds ratio 1.89. However, there significant difference between Stillbirths are an ongoing global concern, is evidence that increased but mostly major factor this possibly access healthcare pandemic. Attention be focused education provision high-quality maternity care, such face-to-face consultation (taking all preventative precautions) or remote appointments where appropriate.

Language: Английский

Citations

7
Factors associated with postpartum hemorrhage in selected Southern Oromia hospitals, Ethiopia, 2021: an unmatched case-control study DOI Creative Commons
Belda Negesa Beyene, Dube Jara Boneya, Shiferaw Gelchu Adola

et al.

Frontiers in Global Women s Health, Journal Year: 2024, Volume and Issue: 5

Published: March 14, 2024

Background Around one-fourth of maternal deaths worldwide are attributed to hemorrhage. One the prevalent types hemorrhage is postpartum In spite this, there very little data on Thus, intention this study was determine factors associated with among mothers who gave birth in selected Southern Oromia hospitals Ethiopia. Methods An institutional-based, unmatched case-control employed a sample 333 (83 cases and 250 controls) from March 1–30, 2021. Standardized pretested check-lists were used retrieve patients' cards, delivery registration, operation registration logbooks. Epi Data Version 3.1 enter data, while SPSS 25 for analysis. Multi-variable logistic regressions identify determinants haemorrhage 95% confidence interval p -value less than 0.05. Results Mothers have no antenatal care follow-up (AOR = 1.94, CI 1.03, 3.64), had pre-partum anemia 5.68, 3.13, 10.32), hypertensive disorder during pregnancy 3.3, 1.13, 9.64), intrauterine fetal death 4.21, 1.68, 10.58), genital tract trauma 3.23, 1.52, 6.89) found as haemorrhage. Conclusion The showed that such lack care, pre–partum anemia, pregnancy–related hypertension, responsible early introduction services all plays crucial role reducing

Language: Английский

Citations

2
Maternal and Fetal Outcomes of COVID-19 According to the Trimester of Diagnosis: A Cross-Sectional Prospective Study in a Tertiary University Hospital DOI Open Access
Naser Al-Husban,

Rahaf Mohammad Di’bas,

Sara Salem Karadsheh

et al.

Journal of Clinical Medicine, Journal Year: 2024, Volume and Issue: 13(17), P. 5262 - 5262

Published: Sept. 5, 2024

Pregnant women are considered a high-risk group because they may be particularly susceptible to COVID-19. Our study tried relate fetomaternal outcomes and trimester-specific infection.

Language: Английский

Citations

2
Vitamin D Receptor—Interplay in COVID-19-Negative, -Infected, and -Vaccinated Women during Pregnancy DOI Open Access

Constantin Condac,

Ludmila Lozneanu, Daniela Roxana Matasariu

et al.

Journal of Clinical Medicine, Journal Year: 2024, Volume and Issue: 13(20), P. 6140 - 6140

Published: Oct. 15, 2024

The trophoblast is a significant source of vitamin D synthesis during pregnancy, with the literature suggesting its role in fetal growth. We aim to underline possible mechanism that would explain negative outcomes COVID-19-positive mothers by examining relationship between altered placental structure and function throphoblast cells' receptor levels.

Language: Английский

Citations

1
Effects of SARS-CoV-2 Vaccination on Menstrual Cycle: An Italian Survey-Based Study DOI Open Access
Roberta Granese, Giosuè Giordano Incognito, Ferdinando Antonio Gulino

et al.

Journal of Clinical Medicine, Journal Year: 2023, Volume and Issue: 12(24), P. 7699 - 7699

Published: Dec. 15, 2023

Vaccination against SARS-CoV-2 has played a critical role in controlling the spread of pandemic. The main side effects vaccination include fever and fatigue; however, potential impacts on menstrual cycles are to be determined. Given limited number studies suggesting changes post vaccination, this study investigates correlation between COVID-19 vaccines cycle fertile-aged Italian women. A questionnaire was distributed from 1 October 31 November 2022, focusing rhythm flow vaccination. analysis involved 471 participants. observed shift regular an irregular (p < 0.001), duration = 0.008 p 0.001 for first second doses, respectively) volume 0.001). Most patients with rhythms were vaccinated proliferative phase their cycle. Within six months 74.2% women post-vaccination reported return normality. These findings indicate primarily transient following mRNA vaccines' safety reproductive age.

Language: Английский

Citations

3
Shedding Light on the COVID-19 Pandemic: Placental Expression of Cell Biomarkers in Negative, Vaccinated, and Positive Pregnant Women DOI Open Access

Constantin Condac,

Ludmila Lozneanu, Daniela Roxana Matasariu

et al.

Journal of Clinical Medicine, Journal Year: 2024, Volume and Issue: 13(18), P. 5546 - 5546

Published: Sept. 19, 2024

: We investigated the expression of inflammation, placental development, and function markers, including cluster differentiation 44 (CD44), osteopontin (OPN), cyclooxygenase-2 (COX-2), to shed light on controversy regarding impact COVID-19 epidemic fetal development pregnancy outcomes.

Language: Английский

Citations

0
Predicting Intensive Care Unit Admission in COVID-19-Infected Pregnant Women Using Machine Learning DOI Open Access
Azamat Mukhamediya, Iliyar Arupzhanov, Amin Zollanvari

et al.

Journal of Clinical Medicine, Journal Year: 2024, Volume and Issue: 13(24), P. 7705 - 7705

Published: Dec. 17, 2024

Background: The rapid onset of COVID-19 placed immense strain on many already overstretched healthcare systems. unique physiological changes in pregnancy, amplified by the complex effects pregnant women, rendered prioritization infected expectant mothers more challenging. This work aims to use state-of-the-art machine learning techniques predict whether a COVID-19-infected woman will be admitted ICU (Intensive Care Unit). Methods: A retrospective study using data from women one hospital Astana and Shymkent, Kazakhstan, May July 2021. developed platform implements compares performance eight binary classifiers, including Gaussian naïve Bayes, K-nearest neighbors, logistic regression with L2 regularization, random forest, AdaBoost, gradient boosting, eXtreme linear discriminant analysis. Results: Data 1292 were analyzed. Of them, 10.4% ICU. Logistic regularization achieved highest F1-score during model selection phase while achieving an AUC 0.84 test set evaluation stage. Furthermore, feature importance analysis conducted calculating Shapley Additive Explanation values points leucocyte counts, C-reactive protein, pregnancy week, eGFR hemoglobin as most important features for predicting admission. Conclusions: predictive obtained here may efficient support tool prioritizing care clinical practice.

Language: Английский

Citations

0