A prediction model for hemolysis, elevated liver enzymes and low platelets syndrome in pre-eclampsia with severe features.

OBJECTIVE: The aim of the present study was to determine the risk factors for patients with pre-eclampsia (PE) with severe features to develop hemolysis, elevated liver enzymes and low platelets (HELLP) syndrome and to design a prediction score model that incorporates these risk factors. METHODS: A retrospective cohort study was conducted at a tertiary university-affiliated medical center between 2011 and 2019. The study population comprised patients diagnosed with PE with severe features, divided into two groups: those with HELLP syndrome (study group) and those without (control group). A logistic regression was employed to identify independent predictors of HELLP syndrome. A predictive model for the occurrence of HELLP syndrome in the context of PE with severe features was developed using a receiver operating characteristic curve analysis. RESULTS: Overall, 445 patients were included, of whom 69 patients were in the study group and 376 in the control group. A multivariate logistic analysis regression showed that maternal age <40 (OR = 2.28, 95% CI: 1.13-5.33, P = 0.045), nulliparity (OR = 2.22, 95% CI: 1.14-4.88, P = 0.042), mild hypertension (OR = 2.31, 95% CI: 1.54-4.82, P = 0.019), epigastric pain (OR = 3.41, 95% CI: 1.92-7.23, P < 0.001) and placental abruption (OR = 6.38, 95% CI: 1.29-35.61, P < 0.001) were independent risk factors for HELLP syndrome. A prediction score model reached a predictive performance with an area under the curve of 0.765 (95% CI: 0.709-0.821). CONCLUSION: This study identified several key risk factors for developing HELLP syndrome among patients with PE with severe features and determined that a prediction score model has the potential to aid clinicians in identifying high risk patients.

A Prospective Evaluation of Quality of Life in Patients Undergoing Extended Endoscopic Endonasal Surgery for Benign Pituitary Gland Lesion.

Introduction Endoscopic endonasal surgery (EES) has become the preferred approach for pituitary tumor resection. Nevertheless, research on quality of life related to pituitary adenoma surgery is scarce. Objective The aim of the study is to evaluate short-term quality of life in patients after endoscopic endonasal resection of pituitary tumors and to find predictors for poor quality of life (QOL) outcome. Materials and Methods A prospective cohort study was conducted, including all patients who underwent EES for pituitary tumors in a tertiary medical referral center. Recruited patients completed the Anterior Skull Base Disease-Specific QOL (ASBS-Q) questionnaire and the Sinonasal Outcome Test 22 (SNOT-22) questionnaire before surgery, 2 and 4 to 6 months after surgery. Demographic and clinical data was collected. Results Our study included 49 patients. The overall ASBS-Q scores significantly improved 4 to 6 months after surgery (4.46 vs. 4.2, p < 0.05). We found a significant improvement in QOL related to emotional state 2 months post surgery (4.41 vs. 3.87, p < 0.05), which became borderline significant 4 to 6 months post surgery. There was a significant improvement in pain (4.5 vs. 4.08, p < 0.05) and vitality (4.43 vs. 4.16, p < 0.05) domains 4 to 6 months post surgery. SNOT-22 scores did not change significantly postoperatively. Factors such as secreting and non-secreting tumors, tumor size, intraoperative cerebrospinal fluid leak, gross tumor resection, endocrine remission, and the use of nasoseptal flap reconstruction did not have a significant effect on QOL. Conclusion We found that patients after EES reported improved QOL 4 to 6 months post surgery. Specific improvement was noted in the QOL related to pain and vitality.

The association of maternal SARS-CoV-2 vaccination-to-delivery interval and the levels of maternal and cord blood antibodies.

OBJECTIVE: To evaluate the correlation of maternal and cord blood levels of SARS-CoV-2 antibodies in pregnant women immunized against COVID-19. METHODS: A prospective cohort study was performed of pregnant women who delivered at a single university affiliated tertiary medical center. Women who received the COVID-19 vaccine (BNT162b2 Pfizer©) were approached. The correlation between levels of maternal sera and umbilical cord SARS-CoV-2 specific IgG was assessed. RESULTS: Overall, 58 women were included; of them, 19 had received a single dose and 39 received two doses of the COVID-19 vaccine. Positive levels of umbilical cord IgG were found in 13/19 (68.4%) and 38/39 (97.4%) women after the administration of a single dose and two doses of the vaccine, respectively. The levels of SARS-CoV-2 IgG antibodies in the maternal sera of vaccinated women were positively correlated to their respective concentrations in cord blood sera (ρ = 0.857; R2 linear = 0.719; P < 0.001). Thirteen days after vaccination, the ratio of maternal-to-umbilical cord anti Spike IgG antibodies was approximately 1, indicating relatively similar levels in maternal and cord sera. CONCLUSION: After the SARS-CoV-2 vaccine, levels of maternal and cord blood antibodies were positively correlated, especially when tested after 13 days following administration of the first dose of the vaccine.

Deep Layer Radiofrequency Thermo-coagulative Technology for Cervicofacial Contouring: Sonographic and Clinical Results.

Radiofrequency energy thermally induces collagen contraction and remodeling. The resultant dermal tightening is well established. However, facial aging encompasses also deeper layers of collagen-containing tissues. We present a deep layer radiofrequency-based thermo-coagulative technique for cervicofacial contouring and evaluate its efficacy. METHODS: This prospective single center study was conducted from June 2017 to June 2018 and included 10 women. Echogenicity and thickness of layers 1-5 of the lower face, lateral neck, and submental regions were sonographically measured at baseline and at 6 weeks postoperatively. Echogenicity analysis was based on the number of high echogenic pixels counted and processed using Matlab-based image application (The Mathworks, Natick, Mass.). Clinical outcome at 12 months postoperatively was evaluated by 2 independent evaluators using a validated 5-point lower face improvement scale and the Merz jawline scale (0-4). Patient satisfaction and adverse effects were recorded. RESULTS: Mean age was 60.2 years (range, 52-76). A statistically significant increase in echogenicity (P ≤ 0.02) and a decrease in thickness (P = 0.01) was noted. Echogenicity increased at 149%, 78%, and 60%, for the lateral neck, lower face, and submental region, respectively. The corresponding decrease in thickness per site was 16%, 6%, and 19%. The average physicians' improvement in lower face contour was 3.8, and the Merz jawline scale was improved from 2.85 at baseline to 1.05 at 12 months postoperatively. Patient satisfaction was high. Side effects were minimal. CONCLUSIONS: Deep layer radiofrequency-based technology thermally induces profound soft tissue tightening and neocollagenesis. It is a safe and effective technique for cervicofacial contouring in selected patients.

In the hunt for therapeutic targets: mimicking the growth, metastasis, and stromal associations of early-stage lung cancer using a novel orthotopic animal model.

BACKGROUND: The existing shortage of animal models that properly mimic the progression of early-stage human lung cancer from a solitary confined tumor to an invasive metastatic disease hinders accurate characterization of key interactions between lung cancer cells and their stroma. We herein describe a novel orthotopic animal model that addresses these concerns and consequently serves as an attractive platform to study tumor-stromal cell interactions under conditions that reflect early-stage lung cancer. METHODS: Unlike previous methodologies, we directly injected small numbers of human or murine lung cancer cells into murine's left lung and longitudinally monitored disease progression. Next, we used green fluorescent protein-tagged tumor cells and immuno-fluorescent staining to determine the tumor's microanatomic distribution and to look for tumor-infiltrating immune cells and stromal cells. Finally, we compared chemokine gene expression patterns in the tumor and lung microenvironment. RESULTS: We successfully generated a solitary pulmonary nodule surrounded by normal lung parenchyma that grew locally and spread distally over time. Notably, we found that both fibroblasts and leukocytes are recruited to the tumor's margins and that distinct myeloid cell attracting and CCR2-binding chemokines are specifically induced in the tumor microenvironment. CONCLUSION: Our orthotopic lung cancer model closely mimics the pathologic sequence of events that characterizes early-stage human lung cancer propagation. It further introduces new means to monitor tumor-stromal cell interactions and offers unique opportunities to test therapeutic targets under conditions that reflect early-stage lung cancer. We argue that for such purposes our model is superior to lung cancer models that are based either on genetic induction of epithelial transformation or on ectopic transplantation of malignant cells.