This retrospective cohort study analyzed data from 56 pediatric patients admitted to a hospital setting between January 2016 and December 2024 with invasive pneumococcal disease (IPD). The primary objective was to identify risk factors for IPD complicated by purulent meningitis, comparing patients with the condition against those without it.
The analysis revealed that patients with purulent meningitis had a significantly higher prevalence of underlying diseases (53.84% or 7 of 13) compared to those without (4.65% or 2 of 43). Additionally, antibiotic resistance was more frequent in meningitic strains, with penicillin resistance observed in 73.21% of cases versus 60.71% in non-meningitic cases, and ceftriaxone resistance in 28.57% versus 10.71%.
Elevated procalcitonin (PCT) levels greater than 4.215 ng/mL and a neutrophil-to-lymphocyte ratio (NLR) exceeding 12.94 were identified as independent risk factors. A combined predictive model using these thresholds demonstrated a sensitivity of 84.60% and a specificity of 86%. No specific safety data, adverse events, or discontinuations were reported in the provided text.
The study's primary limitation is the small sample size of 56 patients, which restricts the statistical power and generalizability of the findings. While the results suggest a potential role for PCT and NLR in early diagnosis and treatment enhancement, clinicians should interpret these biomarkers cautiously given the observational nature of the data and the lack of reported p-values for the biomarker thresholds.
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ObjectiveTo analyze the risk factors associated with invasive pneumococcal disease (IPD) complicated by purulent meningitis in children, with the goal of enhancing early diagnosis and treatment, preventing complications, and improving patient outcomes.MethodsThe study involved 56 pediatric patients with IPD and admitted to our hospital from January 2016 and December 2024. Patients were stratified into two groups based on the presence or absence of purulent meningitis. Clinical characteristics and laboratory parameters were collected and analyzed using univariate and multivariate methods to identify risk factors. A risk prediction model based on logistic regression was developed, and its performance was assessed via the area under the receiver operating characteristic (ROC) curve.ResultsThe study cohort comprised 27 males and 29 females, including 13 patients with purulent meningitis and 43 without. Underlying diseases were present in 53.84% (7/13) of the purulent meningitis group compared to 4.65% (2/43) in the non-meningitic group (P 12.94 was 0.885, indicating that its predictive value for combined purulent meningitis is higher than that of the individual indicators, with sensitivity of 84.60% and specificity of 86%. Additionally, drug resistance analysis of 56 Streptococcus pneumoniae isolates revealed penicillin resistance rates of 73.21% (41/56) in meningitic strains vs. 60.71% (34/56) in non-meningitic strains, and ceftriaxone resistance rates of 28.57% (16/56) vs. 10.71% (6/56), respectively.ConclusionElevated PCT and NLR levels constitute independent risk factors for IPD complicated by purulent meningitis. The combined predictive model based on PCT > 4.215 ng/mL and NLR > 12.94 demonstrates robust clinical utility.