Nirsevimab is a long-acting monoclonal antibody designed to prevent infections due to respiratory syncytial virus (RSV). Here we report on a retrospective, multicenter study encompassing a total of 19 Italian neonatal and pediatric centers evaluating the epidemiology of lower respiratory tract infection (LRTI)-related hospitalizations in infants younger than 2 years during the first RSV season following the introduction of nirsevimab prophylaxis. A total of 401 hospitalizations were reported, with 40.4% being in children with previous prophylaxis with nirsevimab. Respiratory syncytial virus was the most frequently identified pathogen (47.5%), followed by rhinovirus/enterovirus (20.2%) and human metapneumovirus (hMPV; 6.9%). In multivariable analyses adjusted for age, sex, and month of diagnosis, prior nirsevimab immunization was associated with a significantly reduced likelihood of RSV-related hospitalization (adjusted odds ratio [aOR], 0.259; 95% CI, 0.157-0.427), corresponding to an estimated effectiveness of 74.1% (95% CI, 57.3-84.3). Conversely, nirsevimab-immunized infants showed increased odds of hospitalization due to hMPV (aOR, 2.490; 95% CI, 1.019-6.085) and rhinovirus/enterovirus (aOR, 2.573; 95% CI, 1.424-4.650). Lower respiratory tract infections associated with hMPV predominantly occurred outside the typical RSV season, being associated with moderate-to-severe clinical presentations. These findings confirm the real-world effectiveness of nirsevimab against RSV hospitalizations, also highlighting the need for the continued surveillance of non-RSV respiratory pathogens in the context of universal RSV immunoprophylaxis.

Pertussis, caused by Bordetella pertussis, remains a public health concern despite long-standing vaccination programs. After a marked decline during the COVID-19 pandemic, a resurgence was observed in Europe and Italy, with a sharp increase in 2024. This study describes pertussis epidemiological trends in the Tuscany Region (Italy) from 2019 to 2024 to identify high-risk groups and inform prevention strategies. A retrospective population-based analysis was conducted using cases reported to the national surveillance system (PREMAL). Incidence rates were calculated using ISTAT population data, and demographic, temporal, and clinical characteristics were analyzed. Overall, 669 cases were reported (mean annual incidence rate: 3.03/100,000 (IC 95% 2.47-3.59; period incidence rate: 18.2/100,000 (IC 95% 16.81-19.56)), with 89% occurring in 2024 (16.34/100,000 (IC 95% 15.03-17.65)). No sex differences were observed, and most cases were reported in Central Tuscany (64%). Children under 15 years accounted for 87% of cases. The highest incidence was observed among 10-14-year-olds, while infants < 1 year, particularly those under 4 months, showed the highest burden in narrower age strata. Hospitalizations occurred in 12.6% of cases, decreasing substantially in 2024. The 2024 resurgence likely reflects waning immunity, disruptions to routine vaccinations during the pandemic, and reduced pathogen circulation in previous years due to containment and isolation measures related to the pandemic. Strengthening surveillance and improving booster and maternal vaccination coverage are essential to protect vulnerable populations.

Background and Objectives: Post-COVID-19 syndrome (PCS), characterized by persistent fatigue, can develop after a SARS-CoV-2 infection. Myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) is a chronic, post-infectious condition marked by severe fatigue and post-exertional malaise. This study aimed to determine the incidence and characteristics of PCS and ME/CFS in a cohort of hospital employees (HEs) with SARS-CoV-2 infections. Materials and Methods: All HEs who tested SARS-CoV-2-positive between March 2020 and May 2021 who later reported persistent fatigue were invited for an assessment from July to December 2022. Canadian Consensus Criteria were used for the diagnosis of ME/CFS. Assessments included the Montreal Cognitive Assessment (MoCA), and determination of coagulation factors, Epstein-Barr virus (EBV) antibodies and autoantibodies (AABs) against G-protein-coupled receptors (GPCRs). Results: Of the 221 HEs, 11.8% (95% confidence interval (CI95%) 7.8-16.8, 26/221) still reported persistent fatigue and 3.2% (CI95% 1.3-6.4, 7/221) were diagnosed with ME/CFS. In total, 19 HEs (median age 51.0 years, 89.4% female, 63.1% possible or confirmed nosocomial infection) participated in our assessment. In 42.1% (8/19) MoCA results were below normal. Laboratory values showed increased GPCR AABs in 66.6% (12/18), possible EBV reactivation in 86.7% (13/15) and coagulation parameters suggesting inflammatory processes in 38.9% (7/18). Conclusions: Our study was able to determine lower-bound incidences of PCS with fatigue and ME/CFS and demonstrated a diagnostic pathway for HEs following SARS-CoV-2 infections. Possible EBV reactivation, increased GPCR AABs and potential coagulation cascade activation may play a pathogenic role.

Background and Objectives: Pulmonary embolism (PE), the third most prevalent cause of cardiovascular death, is often regarded as a potentially fatal condition. Renal function has been shown to affect the short- and long-term prognosis of acute PE in several large registries. Therefore, the purpose of this study is to investigate the relationship between acute kidney injury (AKI) and the lactate-to-albumin ratio (LAR) in patients hospitalized for PE. Materials and Methods: 264 PE patients were included in this retrospective analysis. Based on the presence or absence of AKI, the study population was split into two groups. Results: Of the 264 patients included in our study, 161 (61%) were female. The median age was 67 ± 16 years. The sample was divided into two groups based on whether AKI developed (No AKI group, n = 176; AKI group, n = 88). A multivariate logistic regression analysis revealed that sPESI score, receiving fibrinolytic therapy (tPA), and LAR (OR: 6.334, 95% CI: 3.070-13.069; p < 0.001) were independently associated with AKI in patients with PE. In particular, an LAR > 0.55 predicted AKI in patients with PE, with a sensitivity of 75% and a specificity of 67% (AUC = 0.749, 95% CI = 0.692-0.800, p < 0.001). Conclusions: Our study demonstrates that the LAR independently predicts AKI in patients with PE. This is the first study that precisely examines this association in PE patients, as far as we are aware.

Background and Objectives: Acute respiratory distress syndrome (ARDS) carries high mortality, with cardiovascular complications frequently contributing to adverse outcomes. This study investigated the relationship between cardiac auscultation using electronic stethoscopy and echocardiographic findings and evaluated their prognostic significance in mechanically ventilated ARDS patients. Materials and Methods: This prospective observational study enrolled 173 consecutive adults with ARDS requiring mechanical ventilation (June 2020-June 2021). Cardiac auscultation was performed using an electronic stethoscope at four standard valvular positions. Bedside echocardiography assessed ventricular function, valvular regurgitation, right ventricular systolic pressure (RVSP), and inferior vena cava dimensions. Primary outcomes were ICU and 90-day mortality; the secondary outcome was ICU length of stay. Results: ICU mortality was 42.2% and 90-day mortality 46.8%. Auscultation findings correlated significantly with echocardiographic parameters: aortic stenosis murmur with an elevated aortic valve velocity (p = 0.009), and mitral/tricuspid regurgitation murmurs with corresponding color Doppler findings (p < 0.001). In multivariate analysis, the mean daily SOFA score (OR 2.39, 95% CI 1.57-3.64, p < 0.001) and RVSP (OR 1.07, 95% CI 1.02-1.11, p = 0.006) independently predicted ICU mortality. For 90-day mortality, the APACHE II score (OR 1.25, p = 0.006), mean daily SOFA score (OR 1.54, p = 0.039), RVSP (OR 1.07, p = 0.020), and mitral regurgitation severity (OR 2.98, p = 0.031) were independent predictors. ICU length of stay was predicted by the mean daily SOFA score (r = 0.35, p < 0.001) and tricuspid regurgitation severity (r = 0.25, p = 0.012). Conclusions: Electronic stethoscope auscultation correlates with the echocardiographic findings in ARDS patients. The RVSP and SOFA scores independently predict mortality, while valvular regurgitation severity provides additional prognostic information for long-term survival and ICU resource utilization.

Background and objective: Obstructive sleep apnea (OSA) is a common pediatric sleep disorder, most often caused by adenotonsillar hypertrophy. Although adenotonsillectomy (AT) is the standard first-line treatment, a substantial proportion of children experience residual OSA (rOSA). This systematic review aimed to synthesize current evidence on risk factors associated with rOSA in children following AT. Materials and Methods: A systematic review was conducted in accordance with PRISMA guidelines. PubMed and the Cochrane Library were searched without date restrictions using English-language terms related to rOSA, children, and adenotonsillectomy. Studies assessing postoperative persistence of OSA and associated risk factors were included. Results: Thirteen studies published between 2010 and 2024 met the inclusion criteria. The reported prevalence of rOSA varied widely (18.6-85.0%), reflecting heterogeneity in study design, patient populations, baseline disease severity, and follow-up methods. Obesity emerged as the most consistently identified risk factor, with significantly higher rOSA rates reported among children with elevated body mass index. Age also influenced outcomes, with both very young (<3 years) and older (>7 years) children demonstrating an increased likelihood of persistent disease. Comorbid conditions, particularly asthma and Down syndrome, were associated with poorer postoperative improvement. Additional contributors included craniofacial or developmental abnormalities and higher preoperative apnea-hypopnea index. Limited evidence also suggested that socioeconomic and environmental factors may affect postoperative outcomes. Conclusions: Residual OSA is common following adenotonsillectomy in children. Obesity, age, and comorbidities are key predictors, underscoring the need for comprehensive preoperative risk stratification and structured postoperative follow-up.

Objective: Acute exacerbations (AECOPD) are primary determinants of clinical instability in chronic obstructive pulmonary disease (COPD), and the "frequent exacerbator" (≥2/year) phenotype markedly increases morbidity and healthcare utilization. In this study, we evaluated the association between the Systemic Immune-Inflammation Index (SII), calculated from routine hemogram parameters during the stable period, and the occurrence of frequent exacerbations within the subsequent 1 year, and aimed to define a clinically applicable SII threshold (cut-off). Materials and Methods: In this retrospective observational cohort study conducted at a tertiary care center, patients who attended the outpatient clinic between January 2020 and February 2025 and had COPD confirmed by post-bronchodilator spirometric criteria (FEV₁/FVC < 70%) were identified through electronic medical records. The index date was defined as a routine outpatient visit during stable COPD; patients were followed for AECOPD for 365 days after the index date. The stable period was defined as a visit occurring ≥4 weeks after the last exacerbation and without signs of acute infection. Patients with positive COVID-19 PCR results were excluded due to the uncertainty in distinguishing exacerbation from COVID-19. The primary endpoint was the development of frequent exacerbations (≥2 AECOPD) within 365 days. AECOPD was defined as an acute worsening of dyspnea, cough, and/or sputum requiring additional pharmacotherapy (systemic corticosteroids and/or antibiotics). SII, NLR, PLR, LMR, and PPN were calculated using hemogram parameters. Groups (<2 vs. ≥2 exacerbations) were compared; a ROC-Youden analysis was performed to determine cut-offs. After ROC-based dichotomization, univariate and multivariable logistic regression analyses were used to evaluate associations; multicollinearity was assessed using the VIF. To address potential optimism bias, diagnostic performance metrics (AUC, sensitivity, specificity) were internally validated using 1000 stratified bootstrap replicates. Results: A total of 159 patients were included. The cohort was predominantly male (91.2%). Demographic characteristics and most spirometric parameters were similar between groups; a trend toward lower absolute FVC was observed in the ≥2 exacerbation group (p = 0.051). Platelet counts were higher in the ≥2 exacerbation group (p = 0.029). In the ROC analysis, AUC values ranged from 0.505 to 0.591 across indices. For the SII, the AUC was 0.591 (95% CI: 0.500-0.677; p = 0.049), and the optimal cut-off was 1082.79. The LMR cut-off was 1.76; however, the LMR did not demonstrate statistically significant discriminatory performance in the ROC analysis (AUC 0.535; p = 0.448). In univariate analyses, SII > 1082.79 (OR = 3.028, 95% CI: 1.522-6.027; p = 0.002) was associated with frequent exacerbations. In a multivariable logistic regression adjusted for cardiovascular disease and overall comorbidity status, SII > 1082.79 remained independently associated (OR = 3.029, 95% CI: 1.485-6.179; p = 0.002). Other hemogram-derived indices did not retain independent prognostic significance in this outpatient cohort. Conclusion: SII measured during stable COPD was independently associated with frequent exacerbations over the subsequent 1 year. The SII > 1082.79 threshold may offer a practical risk stratification approach to flag "high-risk" patients in outpatient care. However, given the modest discriminative performance and the single-cohort derivation, this cut-off should be considered exploratory despite the use of bootstrap internal validation. Because this was a single-center study with a predominantly male cohort, the generalizability-particularly to female patients and other settings-requires prospective external validation.

Dietary fiber has been associated with lower levels of inflammatory biomarkers, but nationally representative evidence using recent U.S. data remains limited. We evaluated the association between dietary fiber intake and inflammatory biomarkers in U.S. adults using the National Health and Nutrition Examination Survey (NHANES) 2017-2018, the last fully completed cycle before the COVID-19 pandemic, providing a pre-pandemic benchmark for future comparisons.

We analyzed 3570 adults (≥20 years) from NHANES 2017-2018 with complete dietary and biomarker data. Fiber intake was averaged from two 24 h recalls. Outcomes included serum high-sensitivity C-reactive protein (hs-CRP; primary outcome), white blood cell count (WBC), and neutrophil count. Survey-weighted regression models adjusted for demographic, socioeconomic, lifestyle, clinical, and dietary covariates. Associations were examined continuously (per 5 g/day fiber), by quartiles, and with restricted cubic splines. Sensitivity analyses excluded participants with cardiometabolic conditions or modified covariate sets.

Each 5 g/day higher fiber intake was associated with 4-7% lower hs-CRP (p < 0.001). Participants in the highest versus lowest fiber quartile had 20.7% lower hs-CRP (95% CI -27.1, -14.4) and 47% lower odds of elevated hs-CRP (OR 0.53, 95% CI 0.32-0.85). Secondary outcomes showed significant inverse associations: each +5 g/day was associated with -0.98% WBC (95% CI -1.84, -0.13; p = 0.024) and -1.44% neutrophils (95% CI -2.62, -0.26; p = 0.017) in fully adjusted models. Spline analyses showed no nonlinearity for WBC (p = 0.227) but nonlinear inverse associations for neutrophils (p = 0.0017). Sensitivity analyses confirmed robustness to exclusion of individuals with diabetes, hypertension, or hyperlipidemia, and to alternative covariate specifications.

Higher dietary fiber intake was independently associated with a more favorable inflammatory biomarker profile (hs-CRP, WBC, and neutrophils) in U.S. adults, providing a pre-pandemic benchmark for future comparisons. Longitudinal and interventional studies are needed to clarify temporality and causality.

This study seeks to inform emergency preparedness efforts by summarizing the pandemic's impacts on access to opioid use disorder (OUD) recovery support as reported by women in recovery. In-depth interviews were completed with adult women in recovery from OUD. We used a primarily deductive approach to coding and analysis. Two coders analyzed transcripts; discrepancies were resolved through discussion. Seventeen women completed interviews from June to October 2020. Pandemic impacts primarily focused on engagement in care and retention at community and interpersonal levels. Community-level barriers to engagement included facilities' halting intake of patients and fear of COVID-19 infection in treatment settings. Interpersonal barriers to engagement included loss of childcare support and the sudden transition to virtual services. Community-level retention barriers included perception of facility staff's lack of adherence to infection prevention protocols and strict enforcement of infection prevention protocols on residents within facilities. Interpersonal barriers to retention included reduced availability of mutual aid meetings. Participants also highlighted how the pandemic worsened the addiction crisis and increased women's caretaking burden. Leaders and administrators must be prepared to simultaneously balance responses for two public health crises: a novel infectious disease and addiction. Lessons learned from the pandemic can mitigate barriers to care and recovery when future emergencies arise.

Introduction: The COVID-19 pandemic significantly disrupted the functioning of the health system, including nursing education, particularly within resource-constrained contexts such as in South Africa. This study explored the lived experiences of nursing students during the COVID-19 period at Lilitha College of Nursing, a public nursing college operating across multiple urban and rural campuses in the Eastern Cape Province of South Africa. Methodology: A qualitative phenomenological design was employed, guided by the Dimensions of Wellness Framework. Purposive sampling was used to recruit a diverse cohort of nursing students who were registered during the period 2020-2022. Semi-structured, one-on-one interviews were conducted with 20 participants between 1 and 31 October 2025, until data saturation was attained. Interviews were audio-recorded, transcribed, translated verbatim, and analysed manually using the six phases of thematic analysis. Results: The findings revealed that the COVID-19 pandemic severely affected nursing students' academic progress, mental and physical health, clinical training, and overall well-being, revealing institutional unpreparedness and gaps in support during crisis conditions. Conclusions: The study highlights the need for fair, holistic, and crisis-ready support systems to protect nursing students' well-being and learning during future emergencies.