Background: COVID-19 has led to a global health crisis that is defining for our times and one of the greatest challenges to emerge since World War II. The potential impact of the pandemic on mental health should not be overlooked, especially among vulnerable populations such as women who gave birth during the COVID-19 pandemic. Materials and Methods: The study is a cross-sectional survey conducted from 1 March 2020 to 1 March 2023, during the period of the SARS-CoV-2 (COVID-19) pandemic, based on a retrospective evaluation of 860 postpartum women. The screening tool used to assess symptoms of postpartum depression was the Edinburgh Postnatal Depression Rating Scale (EPDS) questionnaire. The questionnaire was completed both in the Obstetrics and Gynaecology Clinical Sections I and II of the “Pius Brînzeu” County Emergency Hospital in Timisoara, Romania, and online using Google Forms. Results: The highest severity of postpartum depression symptoms was observed during the COVID-19 pandemic. The results of the study conducted during the period of the SARS-CoV-2 pandemic (COVID-19) showed that the prevalence of major postpartum depressive disorder (EPDS ≥ 13) was 54.2% (466 patients), while 15.6% (134) had minor depressive disorder (10 < EPDS ≤ 12) in the first year after delivery. Comparing these results with those obtained in research conducted before the onset of the pandemic period showed an alarming increase in the prevalence of postpartum depression. The risk factors associated with postpartum depression included the type of delivery, level of education, socio-economic conditions, health status, age, background, and personal obstetric history (number of abortions on demand, parity). Conclusions: The effects of the pandemic on mental health are of particular concern for women in the first year after childbirth. Observing these challenges and developing effective measures to prepare our health system early can be of great help for similar situations in the future. This will help and facilitate effective mental health screening for postpartum women, promoting maternal and child health.

Background: Rapid identification and treatment of stroke are essential for the patient. Our objective was to determine the diagnostic utility of glial fibrillary acidic protein (GFAP) and ubiquitin C-terminal hydrolase L1 (UCH-L1) in the emergency department to identify and differentiate acute stroke within 4.5 h of symptom onset in patients admitted with a stroke code alert. Methods: This study included 85 patients with a “code stroke alert” upon arrival at the emergency department. Individuals were grouped in two categories: patients with stroke (including 69 patients) and patients without stroke (including 16 patients). The research was conducted at the Emergency Municipal Clinical Hospital in Timișoara, Romania, the county’s second-largest hospital, which lacks a neurologist and a dedicated stroke unit. Results: No significant differences were observed between the two groups (with stroke and without stroke) regarding most demographic or admission parameters. Significant differences were observed for the biomarkers GFAP (142.91 ± 102.19 pg/mL in patients with acute stroke vs. 37.76 ± 19.92 pg/mL in patients without stroke (p < 0.001)) and UCH-L1 (1307.68 ± 967.54 pg/mL in stroke patients vs. 189.81 ± 92.69 pg/mL in patients without stroke (p < 0.001)). Within the stroke group, 37 patients had acute ischemic stroke, while 32 patients were diagnosed with hemorrhagic stroke based on brain CT imaging. GFAP achieved an accuracy of 94.2% for differentiating hemorrhagic from ischemic stroke, with a cut-off value of 77.15 pg/mL. Conclusions: GFAP excellently differentiated acute stroke from stroke mimics, with high sensitivity, perfect specificity, and strong predictive values. Integrating GFAP and UCH-L1 measurements into emergency protocols may enhance stroke diagnosis, optimize patient triage, and ultimately improve outcomes by facilitating the faster initiation of appropriate therapies.

Background/Objectives: Postpartum depression (PPD), the most common and prevalent psychiatric disorder after birth, is a prevalent yet underdiagnosed psychiatric condition that remains insufficiently understood, particularly in terms of its biological basis. While epidemiological data are extensive, few studies have systematically investigated their underlying biological mechanisms. The purpose of this study was to explore the potential links between blood biomarker levels and postpartum depressive symptoms, contributing to the development of a unified biological model of PPD. Methods: We conducted a cross-sectional study between 2023 and 2025 at a tertiary academic hospital in Timisoara, Romania, involving 860 postpartum women recruited at hospital discharge (1–2 weeks after childbirth). The participants completed the Edinburgh Postnatal Depression Scale (EPDS) and provided peripheral blood samples, which were analyzed using standardized protocols. The blood levels of pregnancy-related hormones (estrogen and progesterone), vitamin D, biochemical markers of inflammatory response (white blood cell count, C-reactive protein, fibrinogen, neutrophil count, lymphocyte count, and ferritin), anemia indicators (hemoglobin, red blood cell count, hematocrit, and ferritin), thyroid hormones (TSH, FT3, and FT4) and markers of coagulation abnormalities (D-dimer, platelets, fibrinogen, APTT, and INR) were evaluated. The data were analyzed with JASP v0.19.3. The statistical methods included multivariate linear regression, the Kruskal–Wallis and Mann–Whitney U tests, and Spearman correlation, with significance set at p < 0.05. Results: The analysis revealed that postpartum depression (PPD) is associated with distinct biological profiles, reflecting the unique hormonal and physiological changes in the peripartum period. Significant associations were identified between EPDS scores and the levels of estrogen, progesterone, thyroid hormones (TSH, FT3, and FT4), inflammatory markers (CRP and ferritin), vitamin D, and coagulation parameters (APTT and INR). These findings support the notion that PPD has a multifactorial biological basis and highlight the potential of these biomarkers as early predictors of risk. Conclusions: Integrating biochemical assessments into postpartum care may enhance early identification and inform targeted preventive interventions, such as hormone monitoring, vitamin D and iron supplementation, or thyroid function correction.

Background and Objectives: Long COVID has been linked with persistent neurological symptoms, but data on its effects on acute stroke presentation, management, and outcomes remain unclear. This study aimed to compare the clinical profile, management, and short-term outcome of acute ischemic stroke patients with and without Long COVID. Materials and Methods: A retrospective cohort study was conducted on 132 patients who presented at admission with code stroke alert in our Emergency Department (ED). Out of those, 26 were identified to have the Long COVID condition and assigned to the Long COVID group, and 106 were without the Long COVID condition and assigned to the No Long COVID group. Baseline demographics, stroke severity by NIHSS (National Institutes of Health Stroke Scale), risk factors, admission symptoms, laboratory findings, Emergency department time targets, reperfusion treatments received, and outcomes between the two groups were compared. Results: There were no significant differences between the two groups in age, gender, baseline NIHSS scores, ED time targets, or laboratory values. The proportion of patients with Long COVID significantly increased among non-smokers (Fisher’s Exact Test chi-squared, p = 0.027). Also, patients suffering from Long COVID exhibited higher incidences of headache (19.2% compared to 5.7%, OR = 3.97, p = 0.040) and facial drooping (42.3% compared to 19.8%, OR = 2.97, p = 0.022). The mechanical thrombectomy was more frequent among the group with Long COVID (30.8% vs. 16.0%), but this difference was not statistically significant. More hemorrhagic transformations happened in the Long COVID group (26.9% vs. 14.2%, p = 0.143). Discharge rates and hospital length of stay in days were similar between groups. Conclusions: Long COVID patients did not present notable differences in emergency department time targets, baseline stroke severity, or short-term outcomes when presenting with code stroke alert. Nevertheless, specific clinical characteristics—such as elevated occurrences of headache and facial drooping—were more frequently observed in patients with Long COVID, alongside non-significant trends indicating a greater utilization of mechanical thrombectomy and increased rates of hemorrhagic transformation. These results imply that Long COVID may have a subtle impact on stroke presentation and potentially on underlying cerebrovascular susceptibility. Further prospective studies with larger sample sizes are necessary to investigate Long COVID’s long-term neurological and vascular consequences.

Background: The potential impact of the pandemic on mental health should not be overlooked, especially among vulnerable populations such as women who gave birth during the COVID-19 pandemic. The aim of the study was to assess the mental health status of women who gave birth during a pandemic and to examine the possible links between the onset of depressive disorder symptoms in close proximity to the time of delivery and the socio-demographic conditions, health status and obstetric circumstances of the patients. Materials and Methods: The study is a cross-sectional survey conducted from 01.03.2020 to 01.03.2023, during the period of SARS-CoV-2 (COVID-19) pandemic, based on a retrospective evaluation of 860 postpartum women. The screening tool used to assess symptoms of postpartum depression was the Edinburgh Postnatal Depression Rating Scale (EPDS) questionnaire. The questionnaire was completed both in the Obstetrics and Gynaecology Clinical Sections I and II of the "Pius Brînzeu" County Emergency Hospital from Timisoara, Romania and online using Google Forms. Results: The highest severity of postpartum depression symptoms was observed during the COVID-19 pandemic. The results of the study conducted during the period of SARS-CoV-2 pandemic (COVID-19) showed that the prevalence of major postpartum depressive disorder (EPDS ≥ 13) was 54.2% (466 patients), while 15.6% (134) had minor depressive disorder (10 < EPDS ≤ 12) in the first year after delivery. Comparing these results with those obtained in research conducted before the onset of the pandemic period shows an alarming increase in the prevalence of postpartum depression. Risk factors associated with postpartum depression included type of delivery, level of education, socio-economic conditions, health status, age, background, personal obstetric history (number of abortions on demand, parity). Conclusions: The effects of the pandemic on mental health are of particular concern for women in the first year after childbirth. Observing these challenges and developing effective measures to prepare our health system early can help and facilitate effective mental health screening for postpartum women, promoting maternal and child health.

(1) Background: The COVID-19 pandemic caused widespread upheaval, presenting unique challenges for pregnant and postpartum women, who were already in a particularly vulnerable phase. As the COVID-19 pandemic and its public health response unfolded, it became crucial for clinicians and researchers to explore postpartum depression within the context of a global crisis. (2) Methods: We used data from two cross-sectional surveys of postnatal women conducted in our tertiary academic public hospital during the SARS-CoV-2 pandemic and the post-pandemic period, based on the retrospective assessments of two samples of mothers, each including 860 postpartum women. Our research has been conducted with the scope of evaluating postpartum depression disorder during and after the COVID-19 pandemic by using comparable data across time. (3) Results: The prevalence of postpartum depression was significantly higher among women who gave birth during the COVID-19 pandemic (major postpartum depressive disorder: 54.19%, minor depressive disorder: 15.58%), compared to pre-pandemic rates (10% in developed countries and 21–26% in developing countries) and post-pandemic rates (major depressive disorder 10.12%, minor depressive disorder 10.93%). The results of our research indicate that the COVID-19 pandemic had a major negative impact on perinatal mental health and, moreover, might have sped up an existing trend of the increasing prevalence of postpartum depression, despite the fact that the risk factors for postpartum depression disease remained consistent before, during, and after the pandemic. (4) Conclusions: Strengthening support systems during periods of heightened risk, such as during a pandemic, is crucial; therefore, policymakers and health planners should prioritize the mental health of this vulnerable group during global health crises or natural disasters, ensuring the implementation of effective mental health screenings, identification, enhanced support, follow-up, and reassurance measures to better address the challenges faced by susceptible postpartum women in future similar situations.