Health economic evaluation of an artificial intelligence (AI)-based rapid nutritional diagnostic system for hospitalised patients: A multicentre, randomised controlled trial.

BACKGROUND & AIMS: Malnutrition is prevalent among hospitalised patients, and increases the morbidity, mortality, and medical costs; yet nutritional assessments on admission are not routine. This study assessed the clinical and economic benefits of using an artificial intelligence (AI)-based rapid nutritional diagnostic system for routine nutritional screening of hospitalised patients. METHODS: A nationwide multicentre randomised controlled trial was conducted at 11 centres in 10 provinces. Hospitalised patients were randomised to either receive an assessment using an AI-based rapid nutritional diagnostic system as part of routine care (experimental group), or not (control group). The overall medical resource costs were calculated for each participant and a decision-tree was generated based on an intention-to-treat analysis to analyse the cost-effectiveness of various treatment modalities. Subgroup analyses were performed according to clinical characteristics and a probabilistic sensitivity analysis was performed to evaluate the influence of parameter variations on the incremental cost-effectiveness ratio (ICER). RESULTS: In total, 5763 patients participated in the study, 2830 in the experimental arm and 2933 in the control arm. The experimental arm had a significantly higher cure rate than the control arm (23.24% versus 20.18%; p = 0.005). The experimental arm incurred an incremental cost of 276.52 CNY, leading to an additional 3.06 cures, yielding an ICER of 90.37 CNY. Sensitivity analysis revealed that the decision-tree model was relatively stable. CONCLUSION: The integration of the AI-based rapid nutritional diagnostic system into routine inpatient care substantially enhanced the cure rate among hospitalised patients and was cost-effective. REGISTRATION: NCT04776070 (https://clinicaltrials.gov/study/NCT04776070).

Construction of Ultrastable Conjugated Microporous Polymers Containing Thiophene and Fluorene for Metal Ion Sensing and Energy Storage.

In this study, we have used the one-pot polycondensation method to prepare novel 2D conjugated microporous polymers (Th-F-CMP) containing thiophene (Th) and fluorene (Fl) moieties through the Suzuki cross-coupling reaction. The thermogravimetric analysis (TGA) data revealed that Th-F-CMP (Td10 = 418 °C, char yield: 53 wt%). Based on BET analyses, the Th-F-CMP sample displayed a BET specific surface area of 30 m2 g-1, and the pore size was 2.61 nm. Next, to show the effectiveness of our study, we utilized Th-F-CMP as a fluorescence probe for the selective detection of Fe3+ ions at neutral pH with a linear range from 2.0 to 25.0 nM (R2 = 0.9349). Furthermore, the electrochemical experimental studies showed that the Th-F-CMP framework had a superior specific capacity of 84.7 F g-1 at a current density of 0.5 A g-1 and outstanding capacitance retention (88%) over 2000 cycles.

[Evaluation of labial surface root filling combined with porcelain dental restoration].

PURPOSE: To analyze the effect of porcelain dental restoration combined with labial surface root filling for the anterior teeth. METHODS: One hundred cases with anterior teeth protrusion treated in our department from January 2010 to January 2014 underwent porcelain dental restoration combined with labial surface root filling. The measurements in cephalometric X-ray films before and after treatment were compared, and porcelain dental appearance and function were evaluated. The data was statistically analyzed with SPSS18.0 software package. RESULTS: After treatment, U1-SN, U1-X, U1-Y were significantly lower than before treatment (P<0.01). U1-L1 was significantly higher after treatment (P<0.01). The incidence of gingivitis after treatment decreased significantly (X(2)=16.2749,P=0.0000<0.01). The excellent rate of outline of porcelain teeth after treatment, correction of protruding anterior teeth, fitting with adjacent teeth and alleviation of deep overbite and deep cover was 96.00%, 95.00%, 98.00% and 91.00%, respectively. CONCLUSIONS: Porcelain dental restoration after root canal treatment can effectively improve anterior teeth protrusion and increase the aesthetic appearance, which is worthy of clinical application.