Xenogeneic Decellularized Scaffold: A Novel Platform for Ovary Regeneration.

Women younger than 40 years may face early menopause because of premature ovarian failure (POF). The cause of POF can be idiopathic or iatrogenic, especially the cancer-induced oophorectomy and chemo- or radiation therapy. The current treatments, including hormone replacement therapy (HRT) and cryopreservation techniques, have increased risk of ovarian cancer and may reintroduce malignant cells after autografting. Decellularization technique has been regarded as a novel regenerative medicine strategy for organ replacement, wherein the living cells of an organ are removed, leaving the extracellular matrix (ECM) for cellular seeding. This study aimed to produce a xenogeneic decellularized ovary (D-ovary) scaffold as a platform for ovary regeneration and transplantation. We have developed a novel decellularization protocol for porcine ovary by treatment with physical, chemical, and enzymatic methods. Using hematoxylin and eosin (H&E) staining, DAPI staining, scanning electron microscopy (SEM), and quantitative analysis, this approach proved effective in removing cellular components and preserving ECM. Furthermore, the results of biological safety evaluation demonstrated that the D-ovary tissues were noncytotoxic for rat ovarian cells in vitro and caused only a minimal immunogenic response in vivo. In addition, the D-ovary tissues successfully supported rat granulosa cell penetration ex vivo and showed an improvement in estradiol (E2) hormone secretion.

Establishment and Validation of GV-SAPS II Scoring System for Non-Diabetic Critically Ill Patients.

BACKGROUND AND AIMS: Recently, glucose variability (GV) has been reported as an independent risk factor for mortality in non-diabetic critically ill patients. However, GV is not incorporated in any severity scoring system for critically ill patients currently. The aim of this study was to establish and validate a modified Simplified Acute Physiology Score II scoring system (SAPS II), integrated with GV parameters and named GV-SAPS II, specifically for non-diabetic critically ill patients to predict short-term and long-term mortality. METHODS: Training and validation cohorts were exacted from the Multiparameter Intelligent Monitoring in Intensive Care database III version 1.3 (MIMIC-III v1.3). The GV-SAPS II score was constructed by Cox proportional hazard regression analysis and compared with the original SAPS II, Sepsis-related Organ Failure Assessment Score (SOFA) and Elixhauser scoring systems using area under the curve of the receiver operator characteristic (auROC) curve. RESULTS: 4,895 and 5,048 eligible individuals were included in the training and validation cohorts, respectively. The GV-SAPS II score was established with four independent risk factors, including hyperglycemia, hypoglycemia, standard deviation of blood glucose levels (GluSD), and SAPS II score. In the validation cohort, the auROC values of the new scoring system were 0.824 (95% CI: 0.813-0.834, P< 0.001) and 0.738 (95% CI: 0.725-0.750, P< 0.001), respectively for 30 days and 9 months, which were significantly higher than other models used in our study (all P < 0.001). Moreover, Kaplan-Meier plots demonstrated significantly worse outcomes in higher GV-SAPS II score groups both for 30-day and 9-month mortality endpoints (all P< 0.001). CONCLUSIONS: We established and validated a modified prognostic scoring system that integrated glucose variability for non-diabetic critically ill patients, named GV-SAPS II. It demonstrated a superior prognostic capability and may be an optimal scoring system for prognostic evaluation in this patient group.

Platelet-to-Lymphocyte Ratio: A Novel Prognostic Factor for Prediction of 90-day Outcomes in Critically Ill Patients With Diabetic Ketoacidosis.

Diabetic ketoacidosis (DKA) is a life-threatening acute complication of diabetes mellitus and the novel systemic inflammation marker platelet-to-lymphocyte ratio (PLR) may be associated with clinical outcome in patients with DKA. This study aimed to investigate the utility of PLR in predicting 90-day clinical outcomes in patients with DKA. Patient data exacted from the Multiparameter Intelligent Monitoring in Intensive Care II (MIMIC II) database was analyzed. A cutoff value for PLR of 267.67 was determined using Youden index (P < 0.05) and used to categorize subjects into a high PLR group and a low PLR group. The hazard ratios (HRs) and 95% confidence intervals (CIs) for DKA were calculated across PLR. Clinical outcomes in our study were defined as intensive care unit (ICU) 90-day readmission and all-cause mortality. A total of 278 ICU admissions were enrolled and stratified by cutoff value of PLR. The incidence of readmission and mortality was 17.8% in the high PLR group, significantly higher than 7.4% in the low PLR group. In the multivariable model, after adjusting for known confounding variables including clinical parameters, comorbidities, laboratory parameters, the HRs for DKA were 2.573 (95% CI 1.239-5.345; P = 0.011), 2.648 (95% CI 1.269-5.527; P = 0.009), and 2.650 (95% CI 1.114-6.306; P = 0.028), respectively. The Kaplan-Meier survival curve showed that a high PLR level was associated with a higher risk for 90-day outcomes in patients with DKA. The authors report that higher PLR presents a higher risk for 90-day incidence of readmission and mortality in patients with DKA. It appears to be a novel independent predictor of 90-day outcomes in critically ill DKA patients in ICU units.