Background and Objectives: Blood-borne inflammatory ratios have been proposed as inexpensive prognostic tools across a range of diseases, but their role in pulmonary tuberculosis (TB) remains uncertain. In this retrospective case–control analysis, we explored whether composite indices derived from routine haematology—namely the neutrophil-to-lymphocyte ratio (NLR), the platelet-to-lymphocyte ratio (PLR), the systemic immune–inflammation index (SII) and a novel CRP–Fibrinogen Index (CFI)—could enhance risk stratification beyond established cytokine measurements among Romanian adults with culture-confirmed pulmonary T. Materials and Methods: Data were drawn from 80 consecutive TB in-patients and 50 community controls. Full blood counts, C-reactive protein, fibrinogen, and four multiplex cytokines were extracted from electronic records, and composite indices were calculated according to standard formulas. The primary outcomes were in-hospital mortality within 90 days and length of stay (LOS). Results: Among TB patients, the median NLR was 3.70 (IQR 2.54–6.14), PLR was 200 (140–277) and SII was 1.36 × 10⁶ µL⁻¹ (0.74–2.34 × 10⁶), compared with 1.8 (1.4–2.3), 117 (95–140) and 0.46 × 10⁶ µL⁻¹ (0.30–0.60 × 10⁶) in controls. Those with SII above the cohort median exhibited more pronounced acute-phase responses (median CRP 96 vs. 12 mg L⁻¹; fibrinogen 578 vs. 458 mg dL⁻¹), yet median LOS remained virtually identical (29 vs. 28 days) and early mortality was low in both groups (8% vs. 2%). The CFI showed no clear gradient in hospital stay across its quartiles, and composite ratios—while tightly inter-correlated—demonstrated only minimal association with cytokine levels and LOS. Conclusions: Composite cell-count indices were markedly elevated but did not predict early death or prolonged admission. In low-event European cohorts, their chief value may lie in serving as cost-free gatekeepers, flagging those who should proceed to more advanced cytokine or genomic testing. Although routine reporting of NLR and SII may support low-cost surveillance, validation in larger, multicentre cohorts with serial sampling is needed before these indices can be integrated into clinical decision-making.

This comparative cross-sectional study conducted at the “Pius Brinzeu” healthcare center in Timisoara explored the differential impacts of pregnancy planning status on sexual function, body image, and relationship satisfaction among pregnant women. Employing the Female Sexual Function Index (FSFI), Body Esteem Scale for Adolescents and Adults (BESAQ), and the Beck Depression Inventory (BDI-II), the study analyzed responses from 107 participants divided into groups of planned (n = 59, mean age 28.5 ± 5.2) and unplanned (n = 48, mean age 27.3 ± 4.8) pregnancies. In the first trimester, unplanned pregnancies reported higher median scores in desire (4.7 vs. 3.6, p = 0.005), arousal (4.5 vs. 3.8, p = 0.001), and lubrication (4.6 vs. 3.7, p = 0.015) compared to planned pregnancies. Satisfaction scores also favored unplanned pregnancies in the first trimester (4.8 vs. 3.9, p = 0.009). Similar trends were observed in subsequent trimesters, with unplanned pregnancies consistently reporting higher FSFI scores, indicating a robust sexual function. Risk factors significantly associated with sexual dysfunction were a higher BMI in the first trimester (beta coefficient: −0.124, p = 0.019), unmarried civil status (beta coefficient: −0.323, p = 0.045), history of previous abortion (beta coefficient: −0.451, p = 0.012), irregular menstrual cycles (beta coefficient: −0.384, p = 0.026), and rural living area (beta coefficient: −0.278, p = 0.034). Notably, unplanned pregnancy itself was not a significant risk factor for sexual dysfunction (beta coefficient: −0.054, p = 0.095). Regarding relationship dynamics, planned pregnancies exhibited significantly higher satisfaction with partner support (4.1 ± 0.9 vs. 3.7 ± 1.1, p = 0.041) and communication within the couple (4.0 ± 1.0 vs. 3.5 ± 1.2, p = 0.020), whereas unplanned pregnancies reported higher satisfaction with emotional closeness (4.3 ± 0.7 vs. 3.8 ± 1.0, p = 0.004). Concerns about managing professional activities and household chores were significantly more prevalent in the unplanned pregnancy group (62.50% vs. 33.90%, p = 0.014). Unplanned pregnancies demonstrated better initial sexual function but faced greater challenges in relationship satisfaction and managing pregnancy demands. Identifying and addressing the risk factors associated with sexual dysfunction can provide targeted interventions to improve the well-being of pregnant women, regardless of pregnancy planning status.

The incidence of Neonatal Systemic Inflammatory Response Syndrome (SIRS) is a critical concern in neonatal care. This study aimed to identify maternal laboratory parameters predictive of SIRS in newborns, focusing on the establishment of diagnostic cutoffs and evaluating the predictive power of these biomarkers. This prospective cohort study was conducted from January 2023 to January 2024 across several regional hospitals specializing in neonatal care. It included 207 mother-newborn pairs, divided into groups based on the neonatal development of SIRS (66 cases) or its absence (141 controls). Key maternal parameters measured included inflammatory markers and liver enzymes, analyzed using standard biochemical methods. The study applied receiver operating characteristic (ROC) analysis to establish optimal cutoff values and conducted multivariate logistic regression to determine hazard ratios (HRs) for SIRS prediction, with adjustments for potential confounders. The study identified significant ROC/AUC values for several biomarkers. The neutrophil-to-lymphocyte ratio (NLR) demonstrated an AUC of 0.926, with a cutoff value of 3.64, achieving 81.8% sensitivity and 90.9% specificity (p < 0.001). The systemic immune–inflammation index (SII) showed an AUC of 0.819 and a cutoff of 769.12, with 75.8% sensitivity and 81.8% specificity (p < 0.001). Multivariate regression analysis highlighted that neonates with maternal SII values above this cutoff were three times more likely to develop SIRS (HR 3.09, 95% CI 2.21–4.17, p < 0.0001). Other notable biomarkers included dNLR and ALRI, with respective HRs of 1.88 (p = 0.018) and 1.75 (p = 0.032). These findings confirm the significant predictive value of specific maternal inflammatory markers for neonatal SIRS. These findings support the utility of these biomarkers in prenatal screening to identify neonates at increased risk of SIRS, potentially guiding preemptive clinical interventions.