Economic impact of metagenomic next-generation sequencing versus traditional bacterial culture for postoperative central nervous system infections using a decision analysis mode: study protocol for a randomized controlled trial.

IMPORTANCE: Diagnosing and treating postoperative central nervous system infections (PCNSIs) remains challenging due to the low detection rate and time-consuming nature of traditional methods for identifying microorganisms in cerebrospinal fluid. Metagenomic next-generation sequencing (mNGS) technology provides a rapid and comprehensive understanding of microbial composition in PCNSIs by swiftly sequencing and analyzing the microbial genome. The current study aimed to assess the economic impact of using mNGS versus traditional bacterial culture-directed PCNSIs diagnosis and therapy in post-neurosurgical patients from Beijing Tiantan Hospital. mNGS is a relatively expensive test item, and whether it has the corresponding health-economic significance in the clinical application of diagnosing intracranial infection has not been studied clearly. Therefore, the investigators hope to explore the clinical application value of mNGS detection in PCNSIs after neurosurgery.

The Chinese version of the SLEQOL is a reliable assessment of health-related quality of life in Han Chinese patients with systemic lupus erythematosus.

To assess the health-related quality of life (HRQOL) of Han Chinese people with systemic lupus erythematosus (SLE) using a Chinese version of the Systemic Lupus Erythematosus-Specific Quality of Life Questionnaire (SLEQOL-C) and explore the factors influencing HRQOL of people with SLE. Participants were Han Chinese people with SLE. The SLEQOL-C and 36-item Short Form Health Survey (SF-36) were used to estimate the HRQOL. Disease activity was determined using the Systemic Lupus Erythematosus Disease Activity Index (SLEDAI) and fatigue using the Functional Assessment of Chronic Illness Therapy-Fatigue (FACIT-F). Participant factors included age, gender, educational background, disease duration, erythrocyte sedimentation rate (ESR), and complement C3 and C4 levels. The results showed that higher SLEQQL-C scores correlated with lower SF-36 both measures are essential for HRQQL prediction. The SLEQOL-C scores were correlated with educational level,age, FACIT-F score, SLEDAI score, and ESR, which suggests that poor educational background, old-age, and increased fatigue, disease activity, and ESR might represent poor HRQOL. Although disease duration did not significantly correlate with the scores on the SLEQOL-C; those whose disease duration was 12-24 months had higher SLEQOL-C summary scores and physical functioning, symptoms, and treatment subscale scores than did those whose duration was less than 6 months. The FACIT-F score, education level, age, disease duration, SLEDAI score, and ESR contributed to SLEQOL-C scores. The SLEQOL-C is reliable for assessing HRQOL of Han Chinese people with SLE. Fatigue, educational level, age, disease duration, ESR, and disease activity mainly influenced HRQOL of SLE patients.