Corticosteroids for improving patient-relevant outcomes in HELLP syndrome: a systematic review and meta-analysis.

BACKGROUND: We conducted this updated systematic review to assess the effects of corticosteroids vs. placebo or no treatment for improving patient-relevant outcomes in hemolysis, elevated liver enzymes and low platelets (HELLP) syndrome. METHODS: CENTRAL, MEDLINE/PubMed, Web of Science, and Scopus, from the date of inception of the databases to February 3, 2024 were searched. Reference lists of included studies and systematic reviews were thoroughly searched. We included RCTs that enrolled women with HELLP syndrome, whether antepartum or postpartum, to receive any corticosteroid versus placebo or no treatment. No language or publication date restrictions were made. We used a dual independent approach for screening titles and abstracts, full text screening, and data extraction. Risk of bias was assessed in the included studies using Cochrane's RoB 2 tool. Pairwise meta-analyses were conducted, where two or more studies met methodological criteria for inclusion. GRADE approach was used to assess certainty of evidence for the pre-specified outcomes. RESULTS: Fifteen trials (821 women) compared corticosteroids with placebo or no treatment. The effect of corticosteroids is uncertain for the primary outcome i.e., maternal death (risk ratio [RR] 0.77, 95% confidence interval [CI] 0.25 to 2.38, very low certainty evidence). Out of 6 studies reporting maternal death, 5 were judged overall to have "low risk" of bias. The effect of corticosteroids is also uncertain for other important outcomes including pulmonary edema (RR 0.70, 95% CI 0.23 to 2.09), dialysis (RR 3, 95% CI 0.13 to 70.78), liver morbidity (hematoma, rupture, and failure; RR 0.22, 95% CI 0.03 to 1.83), or perinatal death (0.64, 95% CI 0.21 to 1.97) because of very low certainty evidence. Low certainty evidence suggests that corticosteroids have little or no effect on the need for platelet transfusion (RR 0.98, 95% CI 0.60 to 1.60) and may result in a slight reduction in acute renal failure (RR 0.67, 95% CI 0.40 to 1.12). Subgroup and sensitivity analyses showed results that were similar to the primary synthesis. CONCLUSIONS: In women with HELLP syndrome, the effect of corticosteroids vs. placebo or no treatment is uncertain for patient-relevant outcomes including maternal death, maternal morbidity, and perinatal death. These uncertainties regarding this critical question should be addressed by adequately powered rigorous trials. SYSTEMATIC REVIEW REGISTRATION: Center for Open Science, osf.io/yzku5.

Cervical cancer screening by cytology and the burden of epithelial abnormalities in low resource settings: a tertiary-center 42-year study.

BACKGROUND: Cytological screening remains a high-impact practice, particularly in low-resource settings, for preventing cervical cancer. The examination of screening practices over time and the prevalence of epithelial abnormalities have not been investigated in longitudinal studies in one of the largest countries in the Middle East and Africa. METHODS: Routine healthcare data, between March 1981 and December 2022, were extracted from the database of the Early Cancer Detection Unit in a tertiary referral university hospital in the Greater Cairo Region, Egypt. Cervical smears were obtained using a standardized technique and sent to the cytopathology laboratory for conventional cytology examination by expert pathologists. The anonymous data were analyzed to determine the temporal trend of the number of women screened each year and the prevalence of epithelial abnormalities. RESULTS: Data included the results of satisfactory smears from 95120 women. The mean age (SD) of the women at the time of screening was 38.5 (10.5). None of the included women received an HPV vaccine. Abnormal epithelial cells were reported in 5174 women (5.44%). Of these epithelial abnormalities, the majority were low-grade squamous intraepithelial lesions in 4144 women (4.36%). Other abnormalities included atypical squamous cells in 378 women (0.40%), high-grade squamous intraepithelial lesions in 226 women (0.24%), atypical glandular cells not otherwise specified in 184 women (0.19%), adenocarcinoma in 165 women (0.17%), squamous cell carcinoma in 70 women (0.07%), and atypical glandular cells favoring neoplasms in 7 women (0.01%). Women who were at an early age at first intercourse, those who opted for routine cervical cytology screening, and those who were older at screening were more likely to have epithelial abnormalities. The yearly number of screened women was positively associated with the detection of low-grade squamous intraepithelial lesions (correlation coefficient [95% CI] = 0.84 [0.72, 0.91]) and negatively associated with the detection of squamous cell carcinoma (correlation coefficient [95% CI] = -0.55 [-0.73, -0.29]). CONCLUSIONS: The small number of annually screened Egyptian women and the temporal trend in epithelial abnormalities critically demonstrate the need for establishing and scaling up a structured population-based program to achieve the goal of eliminating cervical cancer.

Insights into levofloxacin adsorption with machine learning models using nano-composite hydrochars.

Hydrothermal carbonization was applied to taro peel wastes to produce hydrochars using a facile and environmentally friendly process. Four different entities were prepared: hydrochar (TPh), phosphoric-activated hydrochar (P-TPh), and silver@hydrochars (Ag@TPh, Ag@P-TPh). The elemental compositions of the single and composite hydrochars were confirmed by EDX. Among the produced hydrochars, the morphology of the Ag@hydrochar composites demonstrated more wrinkled structure, and Ag nanoparticles decorated the surface. The optimal experimental conditions for levofloxacin adsorption were determined to be a contact time of 45 min, hydrochar dose of 0.15 g L-1, and pH of 7. The best adsorption performances were assigned to Ag@hydrochars. Two machine learning models were applied to predict the levofloxacin adsorption efficiency of the Ag@hydrochars. A central composite design (CCD) and a 3-10-1 artificial neural network (ANN) model were developed to estimate the removal performance of levofloxacin using Levenberg-Marquardt backpropagation algorithm based on correlation and error analysis of the adopted training functions. Furthermore, the ANN sensitivity analysis revealed the order of the relative importance variable as initial concentration> hydrochar dose> pH. The predicted values of the CCD and ANN models fitted the experimental results with R2> 0.989. Therefore, the applied models were effective in predicting levofloxacin removal under different operating conditions. This work provides an open option for the sustainable management of food industry wastes and the possibility of waste valorization to effective hydrochar composites to be applied in water treatment processes.