Cardiovascular diseases (CVDs) constitute a significant cause of morbidity and mortality globally, particularly among individuals with type 2 diabetes mellitus (T2DM). Ertugliflozin, a Sodium-Glucose Co-transporter-2 (SGLT2) inhibitor, is hypothesized to confer cardiovascular protection; however, long-term follow-up studies are necessary to support the hypothesis. This systematic review was conducted to evaluate the cardiovascular effects of ertugliflozin in diabetic versus non-diabetic cohorts, focusing on major adverse cardiovascular events (MACEs), hospitalizations for heart failure, and cardiovascular mortality. Adhering to PRISMA guidelines, the review encompassed studies indexed in PubMed, Scopus, and Web of Science up to March 2024. Eligibility was restricted to studies involving T2DM patients undergoing ertugliflozin treatment with reported outcomes relevant to cardiovascular health. Out of 767 initially identified articles, 6 met the inclusion criteria. Data concerning hazard ratios (HR) and confidence intervals (CI) were extracted to compare the effects of ertugliflozin with those of a placebo or other standard therapies. The collective sample size across these studies was 8246 participants. Ertugliflozin was associated with a significant reduction in hospitalizations for heart failure relative to a placebo (HR 0.70, 95% CI 0.54–0.90, p < 0.05). Furthermore, when combined with metformin, ertugliflozin potentially reduced MACEs (HR 0.92, 95% CI 0.79–1.07), although this finding did not reach statistical significance. Importantly, for patients with pre-existing heart failure, ertugliflozin significantly decreased the exacerbations of heart failure (HR 0.53, 95% CI 0.33–0.84, p < 0.01). Overall, ertugliflozin markedly reduces hospitalizations due to heart failure in T2DM patients and may improve additional cardiovascular outcomes. These results endorse the integration of ertugliflozin into therapeutic protocols for T2DM patients at elevated cardiovascular risk and substantiate its efficacy among SGLT2 inhibitors. Continued investigations are recommended to delineate its long-term cardiovascular benefits in diverse patient populations, including the potential impact on arrhythmias.

Pediatric seizure disorders profoundly impact family dynamics, often escalating stress and impairing coping mechanisms. This study aimed to longitudinally assess the impact of pediatric seizures on family stress and coping, evaluating the efficacy of multidisciplinary follow-up care in enhancing psychological resilience and adaptation. A longitudinal study design was implemented, enrolling children aged 1–18 who presented with a first seizure and received a neurologist’s diagnosis at the Emergency Clinical Hospital for Children “Louis Turcanu,” Timisoara, Romania. Validated questionnaires, including the Parenting Stress Index (PSI), Hospital Anxiety and Depression Scale (HADS), Perceived Stress Scale (PSS-10), and Parental Concerns Questionnaire (PCQ), were employed at baseline, 6, and 12 months. Statistical analysis utilized ANOVA and t-tests to evaluate changes in stress and coping outcomes. The study involved 68 families, with significant reductions in stress and anxiety reported over the follow-up period. Initial PSI scores showed high stress levels across various domains: Emotional Stress (59.47) decreased to 50.63 at one year; Parent–Child Communication Difficulties started at 66.03 ± 20.15 and reduced to 56.92 ± 18.74; and Total Family Stress decreased from 65.55 to 55.97. The HADS scores indicated initial anxiety and depression at 8.2 ± 3.1 and 7.1 ± 2.8, respectively, with reductions to 6.8 and 5.9 by the end of the year. The overall HADS score showed a decrease from 15.4 to 12.8. PCQ results mirrored these findings, with Total Score dropping from 9.7 to 7.7. PSS-10 scores declined from 13.5 to 11.3, with a significant reduction in the positive sub-score. The proactive, multidisciplinary care approach significantly reduced stress and enhanced coping mechanisms in families dealing with pediatric seizures. The decreases in stress, anxiety, and depression scores highlight the potential for integrated care models to improve long-term outcomes in these families. These findings support the continued development of targeted interventions to aid in the management of chronic pediatric conditions.

Background and Objectives: Lung cancer screening is critical for early detection and management, particularly through the use of computed tomography (CT). This study aims to compare the Lung Imaging Reporting and Data System (Lung-RADS) Version 2022 with the British Thoracic Society (BTS) guidelines in classifying solid pulmonary nodules detected at lung cancer screening CT examinations. Materials and Methods: This retrospective study included 224 patients who underwent lung cancer screening CT between 2016 and 2022 and had a reported solid pulmonary nodule. A fellowship-trained thoracic radiologist reviewed the CT images, characterizing nodules by size, location, margins, attenuation, calcification, growth at follow-up, and final pathologic diagnosis if malignant. The sensitivity and specificity of Lung-RADS Version 2022 in detecting malignant nodules were compared with those of the BTS guidelines using the McNemar test. Results: Of the 224 patients, 198 (88%) had nodules deemed benign, while 26 (12%) had malignant nodules. The Lung-RADS Version 2022 resulted in higher specificity than the BTS guidelines (85% vs. 65%, p < 0.001), without sacrificing sensitivity (92% for both). Nodules larger than 8 mm, spiculated margins, upper lobe location, and interval growth were associated with higher malignancy risk (p < 0.01). Conclusions: Compared with the BTS guidelines, Lung-RADS Version 2022 reduces the number of false-positive screening CT examinations while maintaining high sensitivity for detecting malignant solid pulmonary nodules.

Background and Objectives: Pulmonary resections are critical interventions for treating various lung pathologies, both benign and malignant. Understanding the impact of these surgeries on patients’ Quality of Life (QoL) is essential for optimizing care. This study aims to compare the Health-Related Quality of Life (HRQoL) and psychological well-being in patients who underwent pulmonary resections for benign versus malignant etiologies. Methods: A cross-sectional study was conducted involving 117 patients who underwent pulmonary resection between January 2022 and June 2023. Participants were divided into two groups: 51 patients with benign lung conditions and 66 with malignant lung tumors. HRQoL was assessed using the SF-36 and WHOQOL-BREF questionnaires. Anxiety and depression levels were evaluated using the Hospital Anxiety and Depression Scale (HADS) and the Perceived Stress Scale (PSS-10). Patients were assessed pre- and post-intervention. Results: Patients with malignant etiologies were older (58.7 vs. 54.2 years) and had lower FEV1% predicted (79.1% vs. 82.5%) compared to the benign group. Malignant patients reported significantly lower scores in physical functioning (68.1 vs. 75.4), role-physical (65.0 vs. 72.3), and general health domains of the SF-36 (62.4 vs. 70.2). WHOQOL-BREF scores indicated a lower overall QoL in the malignant group, particularly in the physical health (65.3 vs. 72.1) and psychological domains (68.0 vs. 74.5). HADS scores revealed higher anxiety (9.1 vs. 7.2) and depression levels (8.5 vs. 6.8) among malignant patients. Correlation analyses showed strong associations between lower QoL scores and higher anxiety and depression levels. Conclusions: Pulmonary resections for malignant conditions are associated with a significant decline in HRQoL compared to benign conditions. Patients with malignant etiologies experience higher levels of anxiety and depression, emphasizing that clinicians should integrate specialized mental health services and tailored physical rehabilitation programs for patients undergoing pulmonary resections for malignant lung conditions to address their significantly reduced quality of life and increased psychological distress.

Pulmonary fibrosis detected during the acute phase of SARS-CoV-2 infection may significantly influence patient prognosis. This study aimed to evaluate the prognostic value of initial high-resolution computed tomography (HRCT) findings of pulmonary fibrosis in hospitalized COVID-19 patients and to examine how these findings relate to disease severity and clinical outcomes, with a particular focus on the development and validation of predictive scoring systems. In this multicentric prospective cohort study from January 2023 to January 2024, 120 adult patients with confirmed SARS-CoV-2 infection requiring hospitalization were enrolled from two Romanian university hospitals. Patients were categorized based on the presence (n = 60) or absence (n = 60) of pulmonary fibrosis signs on admission HRCT scans, identified by reticular opacities, traction bronchiectasis, honeycombing, and architectural distortion. Biochemical analyses, severity scores (SOFA, APACHE II, NEWS 2), and novel compound scores combining clinical and radiological data were assessed. Patients with HRCT evidence of pulmonary fibrosis had significantly higher severity scores and worse clinical outcomes. The HRCT score alone was a strong predictor of severe COVID-19 (area under the ROC curve [AUC] = 0.885), with a best cutoff value of 9.72, yielding 85.7% sensitivity and 79.8% specificity. Compound Score 1, integrating SOFA, APACHE II, and HRCT scores, demonstrated excellent predictive performance with an AUC of 0.947, sensitivity of 92.5%, and specificity of 88.9%. Compound Score 2, combining systemic inflammation markers (SIRI, SII) and NEWS 2, also showed a strong predictive capability (AUC = 0.913), with 89.2% sensitivity and 85.7% specificity at the optimal cutoff. Regression analysis revealed that Compound Score 1 had the highest hazard ratio for severe COVID-19 outcomes (HR = 4.89; 95% CI: 3.40–7.05), indicating its superior prognostic value over individual markers and traditional severity scores. Initial HRCT findings of pulmonary fibrosis are significantly associated with increased disease severity in hospitalized COVID-19 patients. The HRCT score is a valuable prognostic tool, and, when combined with clinical severity scores into Compound Score 1, it enhances the prediction of severe COVID-19 outcomes with high sensitivity and specificity. These compound scores facilitate the early identification of high-risk patients, guiding clinical decision-making and optimizing patient management to improve outcomes.

The COVID-19 pandemic underscores the need for accurate prognostic tools to predict patient outcomes. This study evaluates the effectiveness of four prominent COVID-19 prediction scores—PAINT, ISARIC4C, CHIS, and COVID-GRAM—at two critical time points: at admission and seven days post-symptom onset, to assess their utility in predicting mortality among hospitalized patients. Conducted at the Clinical Emergency Hospital Pius Brînzeu in Timișoara, this retrospective analysis included adult patients hospitalized with confirmed SARS-CoV-2 infection. Eligible patients had complete data for the scores at both time points. Statistical analysis involved ROC curves and logistic regression to assess the scores’ predictive accuracy for mortality. The study included 215 patients, split into 139 survivors and 76 non-survivors. At admission, the PAINT, ISARIC4C, CHIS, and COVID-GRAM scores significantly differentiated between the survival outcomes (p < 0.0001). The best cutoff values at admission were 6.26 for PAINT, 7.95 for ISARIC4C, 5.58 for CHIS, and 0.63 for COVID-GRAM, corresponding to sensitivities of 85.47%, 80.56%, 88.89%, and 83.33% and specificities of 77.34%, 82.12%, 75.01%, and 78.45%, respectively. By day seven, the cutoff values increased, indicating deteriorating conditions in patients who eventually succumbed to the virus. The hazard ratios at admission for exceeding these cutoffs were significant: PAINT (HR = 3.45), ISARIC4C (HR = 2.89), CHIS (HR = 4.02), and COVID-GRAM (HR = 3.15), highlighting the scores’ abilities to predict severe outcomes. One week post symptom onset, these scores’ predictive values and corresponding hazard ratios increased, further validating their prognostic significance over time. The evaluated COVID-19 prediction scores robustly predict mortality at admission and become more predictive by the seventh day of symptom onset. These findings support the use of these scores in clinical settings to facilitate early identification and intervention for high-risk patients, potentially improving patient outcomes during the ongoing global health crisis.