Sedation monitoring is crucial in neurosurgical intensive care units to ensure optimal patient comfort and safety. However, sedation practices vary significantly. This study aimed to evaluate and summarize the evidence related to sedation monitoring in neurocritical care patients, with a focus on identifying best practices for improving monitoring accuracy and patient outcomes.

This study was conducted as an evidence summary, following the evidence summary reporting standards of the Fudan University Evidence-based Nursing Center. The evidence on sedation monitoring management in neurocritical care patients was systematically retrieved using the 6S evidence model, including clinical decisions, best practices, guidelines, expert consensus, evidence summaries, systematic reviews, and more. Searches of domestic and international databases covered all records from the databases’ inception to June 2024. Two researchers independently selected literature that met the inclusion criteria and conducted quality assessment, evidence-level evaluation, and evidence synthesis.

Ten high-quality studies were ultimately included. From these, twenty pieces of best evidence were extracted, covering four categories: monitoring personnel, monitoring targets, monitoring tools, and monitoring timing and content. Among these, fifteen pieces of evidence were classified as strong recommendations, while five were classified as weak recommendations.

This study summarized the best evidence on sedation monitoring for neurocritical care patients, providing guidance for clinical staff to improve sedation monitoring accuracy and patient outcomes in neurosurgical intensive care units.

COVID-19 has resulted in significant long-term sequelae in convalescent patients, impacting overall quality of life. Traditional Chinese medicine (TCM) has shown promise in managing post-COVID-19 symptoms through syndrome differentiation. This study aimed to evaluate the efficacy and safety of TCM in COVID-19 convalescent patients in a real-world setting.

This prospective, real-world study will be conducted at Guangdong Provincial Hospital of Traditional Chinese Medicine. A total of 528 COVID-19 convalescent patients will be recruited and divided into two groups: a control group receiving routine Western medical treatment and an intervention group receiving additional TCM treatment based on syndrome differentiation. Patients will be assessed for three major TCM syndromes: Lung-Spleen Qi Deficiency, Qi-Yin Deficiency, and Cold Phlegm Obstructing the Lung, with corresponding TCM prescriptions administered accordingly. The primary outcome measure will be the improvement in clinical symptom scores based on a TCM symptom scoring system. Secondary outcomes will include changes in laboratory tests, imaging studies, heart function classification, and quality of life scores. Safety will be assessed through liver and kidney function tests and adverse event monitoring.

The study is expected to demonstrate that TCM treatment, based on syndrome differentiation, can significantly improve clinical symptoms and overall health in COVID-19 convalescent patients compared to routine Western medical treatment. These findings will provide evidence for integrating TCM into post-acute COVID-19 care.

This study will contribute to the evidence supporting TCM as an effective treatment for post-COVID-19 syndrome, enhancing patient outcomes and informing comprehensive recovery strategies.

Chronic hepatitis B (CHB) poses a major global health burden, with China particularly affected. Effective antiviral therapy is crucial to prevent disease progression, but responses may vary by Hepatitis B virus (HBV) genotype. This prospective study aimed to compare genotype-specific responses to 144-week entecavir (ETV) therapy in HBeAg-positive CHB patients, with particular emphasis on histological improvement assessed through paired liver biopsies.

We enrolled 49 treatment-naïve CHB patients (HBV DNA ≥ 20,000 IU/mL, alanine transaminase (ALT) > 2× ULN, and Scheuer system G ≥ 2) who received ETV 0.5 mg/day. HBV genotyping was performed using Polymerase Chain Reaction and fragment length analysis. The primary endpoint was histological improvement (i.e., ≥ 2-grade reduction in necroinflammatory activity without fibrosis progression), evaluated via paired biopsies (baseline and week 144) by blinded pathologists. Secondary endpoints included virological response (i.e., serum HBV DNA < 100 IU/mL), HBeAg seroconversion, and ALT normalization.

The cohort included 24 genotype B and 24 genotype C patients (one genotype A patient was excluded from genotype-specific analyses). Genotype B showed significantly higher histological improvement rates (91.3% vs. 63.2%, P = 0.027) and greater inflammation resolution (0 ≤ G < 1: 56.5% vs. 26.3%, P = 0.048). Virological suppression was excellent in both groups (100% vs. 100%). HBeAg seroconversion trended higher in genotype C (29.2% vs. 50.0%, P = 0.140). All patients achieved ALT normalization by week 48, with no safety concerns.

HBV genotype B demonstrates superior histological responses to ETV therapy compared with genotype C, supporting the clinical value of HBV genotyping for personalized CHB management. These findings highlight the importance of considering viral genotype when evaluating treatment outcomes.

Empirical and theoretical studies can be distinguished among the areas of investigation of the renin-angiotensin-aldosterone system (RAAS) and its relationship with the development of cardiovascular diseases. Theoretical work is based mainly on the bioinformatic analysis of key elements of RAAS (genes, proteins, metabolites), on calculations and predictions of protein interactions, and on mechanisms of RAAS gene expression regulation. An associative gene network based on big data analysis allows us to reveal relationships among the proteins, regulatory pathways, and biological processes acting in RAAS, as well as to identify new diagnostic markers, therapeutic targets, putative molecular mechanisms of the development of RAAS-associated diseases, drug interactions, and drug toxicity.

The reconstruction and analysis of associative gene networks were performed using ANDSystem. The regulation of RAAS-associated gene expression was analyzed by transcription factor (TF) binding sites (TFBSs) prediction in the proximal promoters of these genes and by studying interactions between TFs themselves using the Ensembl Biomart web service and AnimalTFDB 4.0. The recognition of potential TFBSs in RAAS gene promoters was performed using MoLoTool.

According to the centrality criteria of the RAAS associative gene network, the following proteins were identified as exerting a significant influence on information interplay between network components: IL6, EDN1, TNFA, MK01, LEP, and JUN. Analysis of the ten identified TFs and their TFBSs among the genes in the RAAS network under study revealed clusters of three to 26 genes regulated by them.

Components with the highest values of centrality and vertex degrees were identified in the reconstructed associative gene network of the RAAS, and ten TFs supposed to regulate 26 RAAS genes were determined.

Metaplastic breast carcinoma, a rare entity (<1% of breast neoplasms), lacks comprehensive spectroscopic characterization. This study aimed to address this gap by providing a qualitative and quantitative spectroscopic profile of metaplastic carcinoma in comparison to ductal carcinoma in situ (DCIS) and invasive ductal carcinoma (IDC).

A retrospective analysis was conducted on archival tissue blocks of metaplastic carcinoma (n = 10), DCIS (n = 12), and IDC (n = 31). Sections were stained with hematoxylin and eosin for histological confirmation. Attenuated total reflectance Fourier-transform infrared spectroscopy was performed on adjacent unstained sections, with normal breast tissue (n = 10) serving as the control. Spectral data were analyzed using t-tests to identify significant differences in peak intensities and ratios. Hierarchical clustering analysis and receiver operating characteristic curves were generated to assess the diagnostic potential of selected spectral features.

Spectral analysis revealed that mean peak intensities were generally lower in all carcinoma subtypes compared to normal breast tissue. Specific ratios, including A1237/A1080 (phosphate; p < 0.01), A1043/1543 (glycogen; p < 0.01), and A1080/A1632 (nucleocytoplasmic index; p < 0.03), were significantly elevated in carcinomatous tissues. Receiver operating characteristic analysis identified peak 3,280 (area under the curve (AUC) = 0.93–0.96) as highly effective in differentiating normal from carcinomatous tissues. Peak 2,922 showed specificity for distinguishing normal tissue from IDC (AUC ≈ 0.7). Peak 1,744 effectively discriminated between DCIS and metaplastic carcinoma (AUC = 0.7). The ratio 1,080/1,632 (nucleocytoplasmic ratio) demonstrated exceptional diagnostic accuracy, distinguishing normal from carcinomatous tissues (AUC ≈ 1.0), DCIS from IDC (AUC ≈ 0.86), and DCIS from metaplastic carcinoma (AUC ≈ 0.8).

Attenuated total reflectance Fourier-transform infrared spectroscopy, particularly using peak 3,280 (Amide A) and the 1,080/1,632 ratio (nucleocytoplasmic index), offers a promising approach for discriminating between normal breast tissue and carcinoma, as well as differentiating pre-IDC from metaplastic carcinoma. These spectral markers demonstrate both statistical significance and diagnostic potential.

Bacterial infections (BIs) are common and severe complications in patients with liver cirrhosis, but global data are limited. Here, we aimed to evaluate the global prevalence, temporal changes, and associated mortality risk of BIs in liver cirrhosis.

We systematically searched PubMed, Embase, Web of Science, and the Cochrane Library for eligible studies published without language restrictions until 11 August 2025. A random-effects model was used for meta-analyses, meta-regression by study year, and pooling adjusted hazard ratios.

Fifty-nine studies, including 1,191,421 patients with cirrhosis, were analyzed. The pooled prevalence of BIs (33 studies) was 35.1% (95% confidence interval (CI): 29.2–41.4). The prevalence of Escherichia coli and Streptococcus spp. was 3.8% (95% CI: 2.5–5.2) and 1.5% (95% CI: 0.8–2.6), respectively. The pooled prevalence of multidrug-resistant bacteria was 6.8% (95% CI: 4.0–11.3). The most common BI sites were the gastrointestinal tract, ascites fluid, and urinary tract. The highest prevalence of BIs was reported in Europe (38.2%; 95% CI: 24.8–53.6), followed by South America (37.5%; 95% CI: 29.7–46.1) and Asia (22.8%; 95% CI: 16.3–30.9). Patients with acute-on-chronic liver failure showed the highest prevalence of BIs (44.2%; 95% CI: 29.7–59.8). A modest increasing trend in BIs prevalence was observed over time. BIs were associated with an increased risk of mortality in patients with cirrhosis (adjusted hazard ratios 2.22, 95% CI 1.33–3.71).

BIs are prevalent in cirrhosis, especially in acute-on-chronic liver failure, with a modest upward trend and increased mortality risk.

MD-1 is a time-tested polyherbal diabetes supplement in Tamil Nadu, India. It is composed of dried powdered herbs: Phyllanthus amarus Schum. & Thonn, Tinospora cordifolia (Willd.) Miers ex Hook. F. & Thoms, Emblica officinalis Gaertn., Eugenia jambolana Lam., Gymnema sylvestre R. Br. Ex, and Cassia auriculata Linn. This study aimed to investigate the in vivo effects of MD-1 in high-fat diet (HFD)-induced diabetes mellitus in C57BL/6J mice.

After 10 weeks of HFD induction, diabetic mice (n = 60) were randomized to 21-day treatments with MD-1, metformin, or left untreated on a standard pellet diet. Fasting blood glucose, triacylglycerol (TAG), total cholesterol, and liver tissue markers including superoxide dismutase, glutathione peroxidase, glutathione, thiobarbituric acid reactive substance, glucokinase, fructose-1,6-bisphosphatase, and glucose-6-phosphatase expressions were measured. Adipose tissue tumor necrosis factor (TNF)-α infiltration and messenger RNA expression of peroxisome proliferator-activated receptor γ (PPAR-γ) and glucose transporter type 4 (Glut4) were also analyzed.

MD-1 treatment significantly reduced elevated fasting blood glucose, TAG, and total cholesterol in HFD-fed mice and countered HFD-induced weight gain despite unchanged caloric intake. Improved adipose tissue function was evidenced by reduced TNF-α infiltration and increased messenger RNA expression of PPAR-γ and Glut4. MD-1 attenuated HFD-induced fatty liver disease by reducing oxidative stress and TAG accumulation, suggesting a possible two-hit mechanism.

MD-1 administration primarily targets adipose tissue TNF-α signaling in HFD mice, restoring function via PPAR-γ/Glut4 expression. These findings support its glycemic intervention potential and justify its supplementation in diabetes.

Sclerocarya birrea (A. Rich) Hochst (Anacardiaceae) is a plant widely used by traditional healers in several African countries to treat numerous illnesses such as Alzheimer’s disease, schizophrenia, inflammation, infections, arterial hypertension, headaches, and others. This study aimed to determine the therapeutic efficacy of Sclerocarya birrea (S. birrea) against glutamate-induced neurotoxicity.

Thirty naïve white mice (Mus musculus Swiss, Muridae), of both genders and weighing between 18 and 25 g, were used in the experiments. Different doses (102.5, 205, and 410 mg/kg) of the extract and vitamin C (100 mg/kg) were administered to the animals one hour before administration of monosodium glutamate (4 mg/kg) for 15 consecutive days. T-maze and Y-maze tests were conducted over three days to assess the animals’ behavioral performance. After behavioral testing, the animals were sacrificed and their brains removed for analysis of oxidative stress parameters.

S. birrea extract reversed glutamate-induced behavioral alterations by significantly (P < 0.001) reducing the latency to reach the platform in the T-maze and significantly increasing the percentage of spontaneous alternation in the Y-maze. The extract also significantly counteracted (P < 0.001) glutamate-induced oxidative stress parameters. The 102.5 and 205 mg/kg doses of the extract significantly (P < 0.001) reduced catalase and reduced glutathione levels, as well as the increase in malondialdehyde levels induced by glutamate.

S. birrea root bark extract exhibits neuroprotective properties that facilitate memory and ameliorate glutamate-induced cognitive deficits in white mice. The results provide partial justification for the traditional medicinal use of S. birrea extract.