FreshRSS

🔒
❌ Acerca de FreshRSS
Hay nuevos artículos disponibles. Pincha para refrescar la página.
AnteayerTus fuentes RSS

Analysis of uterine evacuation methods in postabortion care after implementation of a surveillance network (CLAP MUSA-Network) at a university hospital

by Nelio N. Veiga-Junior, Caroline Eugeni, Beatriz D. Kajiura, Priscilla B. F. Dantas, Caroline B. Trabach, Aline A. Junqueira, Carina C. Nunes, Luiz F. Baccaro

Background

Management of uterine evacuation is essential for increasing safe abortion care. Monitoring through surveillance systems tracks changes in clinical practice and provides information to improve equity in abortion care quality.

Objective

This study aimed to evaluate the frequency of manual vacuum aspiration (MVA) and medical abortion (MA), and identify the factors associated with each uterine evacuation method after surveillance network installation at a Brazilian hospital.

Methods

This cross-sectional study included women admitted for abortion or miscarriage to the University of Campinas Women’s Hospital, Brazil, between July 2017 and November 2020. The dependent variables were the use of MVA and MA with misoprostol. The independent variables were the patients’ clinical and sociodemographic data. The Cochran–Armitage, chi-square, and Mann–Whitney U tests, as well as multiple logistic regression analysis, were used to compare uterine evacuation methods.

Results

We enrolled 474 women in the study, 91.35% of whom underwent uterine evacuation via uterine curettage (78.75%), MVA (9.46%), or MA (11.54%). MVA use increased during the study period (Z = 9.85, p Conclusion

MVA use increased following the installation of a surveillance network for good clinical practice. Being part of a network that encourages the use of evidence-based methods provides an opportunity for healthcare facilities to increase access to safe abortions.

Association of antecedent statin use on 30-day, 60-day and 90-day mortality among Mississippi Medicaid beneficiaries diagnosed with COVID-19

Por: Rong · Y. · Goswami · S. · Eriakha · O. · Ramachandran · S. · Bentley · J. · Banahan · B. F. · Kirby · T. · Smith · D. · Pittman · E. · Bhattacharya · K.
Objective

To assess if the antecedent statin use was associated with all-cause death among COVID-19 patients enrolled in Medicaid.

Design

Cohort study.

Setting

Mississippi Medicaid population.

Participants

This study included 10 792 Mississippi Medicaid-enrolled patients between 18 and 64 years of age with a confirmed COVID-19 diagnosis from March 2020 to June 2021.

Intervention

Antecedent statin use, which was determined by a record of statin prescription in the 90-day period prior to the COVID diagnosis.

Main outcome measures

The outcomes of interest included mortality from all cause within 30 days, 60 days and 90 days after index.

Results

A total of 10 792 patients with COVID-19 met the inclusion and exclusion criteria, with 13.1% of them being antecedent statin users. Statin users were matched 1:1 with non-users based on age, sex, race, comorbidities and medication use by propensity score matching. In total, the matched cohort consisted of 1107 beneficiaries in each group. Multivariable logistic regression showed that statin users were less likely to die within 30 days (adjusted OR: 0.51, 95% CI: 0.32 to 0.83), 60 days (OR: 0.56, 95% CI: 0.37 to 0.85) and 90 days (OR: 0.55, 95% CI: 0.37 to 0.82) after diagnosis of COVID-19. Those with low-intensity/moderate-intensity statin use had significantly lower mortality risk in the 60-day and the 90-day follow-up period, while the high intensity of statin use was only found to be significantly associated with a lower odd of mortality within 30 days post index.

Conclusion

After COVID infection, Medicaid beneficiaries who had taken statins antecedently could be at lower risk for death. For patients with chronic conditions, continuity of care is crucial when interruptions occur in their medical care. Further research is required to further investigate the potential mechanisms and optimal use of statins in COVID-19 treatment.

❌