An activatable NIR turn-on fluorescent probe for copper (II) ion and live cell imaging.

Herein we have reported a fluorescent probe (MB-M) based on MB derivative for Cu2+ ions detection. The probe was well characterized by 1H NMR, 13C NMR and HR-MS spectrum. Probe MB-M showed naked-eyes recognition to Cu2+ as color change from colorless to indigo. The probe exhibited promising features such as high fluorescence and UV-vis selectivity, fast response (5 mint), workable at pH 2-7, and low limit of detection (LOD = 0.33 µM). Probe MB-M was also used for Cu2+ ions imaging in HepG-2 cells and detection in daily life (Test Strip and lake water). Moreover, non-covalent interaction (NCI) and quantum theory of atoms in molecules (QTAIM) analysis were used to study the interaction between MB-M and Cu2+ ions. By examining the electronic characteristics of the complex using natural bond orbital (NBO), electron density difference (EDD), and frontier molecular orbital (FMO) analysis, the sensitivity of MB-M towards Cu2+ ions were investigated. The results illustrated that the interactions between MB-M and Cu2+ ions involved chemisorption.

Bibliometric analysis of Mongolian medicine and medicinal materials in China since 2000.

Aim of the study: To analyze the progress in Mongolian medicine and medicinal materials and to highlight its development process, emerging trends, and hotspots. Materials and methods: Papers on Mongolian medicine and medicinal materials from January 2000 to May 2022 were retrieved from the China National Knowledge Infrastructure (CNKI) database. Using the collaboration network analysis of CiteSpace V and VOSviewer software, the cooperation among individuals and institutions in the field of scientific research was analyzed. The functions of frequency analysis, cluster analysis, and burst analysis were employed to conduct bibliometric analysis on research hotspots and trends in the field of Mongolian medicine research. Furthermore, the data visualization function was utilized to clearly display data trends and changes. Results: A total of 8362 papers on Mongolian medicine medicinal materials from CNKI were identified and analyzed.The research on Mongolian medicine has gone through three stages: the initial stage, the exploratory stage, and the developmental stage. The top two institutions in the number of papers are Inner Mongolia Medical University and Inner Mongolia University for Nationalities. Bagenna from Inner Mongolia Medical University is the author with the most papers. "clinical efficacy", "clinical research", and "quality standards" were the most frequently used keywords. Research in the field of Mongolian medicine has focused on several diseases, including skeletal system disorders, cardiovascular diseases, and digestive system disorders. Conclusion: Since 2000, there have been growing attention and efforts made in the field of Mongolian medicine and medicinal materials. The research in the field of Mongolian medicine had undergone three stages, namely the initial stage, the exploratory stage, and the developmental stage. The focus shifted from basic research such as the analysis of medicinal ingredients in Mongolian herbs to the application-oriented directions of traditional treatment techniques and advantageous diseases in Mongolian medicine. To make breakthroughs in this field, further research is needed to improve the persuasiveness and authority of Mongolian medicine and medicinal materials in terms of mechanism, standardization, and safety, to promote the development of Mongolian medicine and medicinal materials.

Performance of artificial intelligence in predicting the prognossis of severe COVID-19: a systematic review and meta-analysis.

Background: COVID-19-induced pneumonia has become a persistent health concern, with severe cases posing a significant threat to patient lives. However, the potential of artificial intelligence (AI) in assisting physicians in predicting the prognosis of severe COVID-19 patients remains unclear. Methods: To obtain relevant studies, two researchers conducted a comprehensive search of the PubMed, Web of Science, and Embase databases, including all studies published up to October 31, 2023, that utilized AI to predict mortality rates in severe COVID-19 patients. The PROBAST 2019 tool was employed to assess the potential bias in the included studies, and Stata 16 was used for meta-analysis, publication bias assessment, and sensitivity analysis. Results: A total of 19 studies, comprising 26 models, were included in the analysis. Among them, the models that incorporated both clinical and radiological data demonstrated the highest performance. These models achieved an overall sensitivity of 0.81 (0.64-0.91), specificity of 0.77 (0.71-0.82), and an overall area under the curve (AUC) of 0.88 (0.85-0.90). Subgroup analysis revealed notable findings. Studies conducted in developed countries exhibited significantly higher predictive specificity for both radiological and combined models (p < 0.05). Additionally, investigations involving non-intensive care unit patients demonstrated significantly greater predictive specificity (p < 0.001). Conclusion: The current evidence suggests that artificial intelligence prediction models show promising performance in predicting the prognosis of severe COVID-19 patients. However, due to variations in the suitability of different models for specific populations, it is not yet certain whether they can be fully applied in clinical practice. There is still room for improvement in their predictive capabilities, and future research and development efforts are needed. Systematic review registration: https://www.crd.york.ac.uk/prospero/ with the Unique Identifier CRD42023431537.

Misdiagnosed Meckel's diverticulum with internal hernia mimicking appendicitis: A case report.

BACKGROUND: Meckel's diverticulum is a common congenital anomaly of the gastrointestinal tract, with a higher incidence rate in children under 7 years old. The condition is characteristically asymptomatic but may become a clinical concern when complications such as intestinal obstruction, bleeding, perforation, or diverticulitis precipitate acute abdominal presentations. CASE SUMMARY: This report describes the case of a middle-aged man initially suspected of having acute appendicitis, which rapidly progressed to acute peritonitis with concomitant intestinal obstruction observed during preoperative assessment. Surgical exploration confirmed the diagnosis of Meckel's diverticulum-induced internal hernia, accompanied by intestinal obstruction and necrosis. In addition, the hernial ring base exhibited entrapment resembling a surgical knot. CONCLUSION: Meckel's diverticulum is a rare cause of small bowel obstruction in adults, and it should be considered in a differential diagnosis.

Application of indocyanine green-labeled fluorescence technology in laparoscopic total extra-peritoneal inguinal hernia repair surgery:a preliminary study.

BACKGROUND: Laparoscopic Total Extra-peritoneal Inguinal Hernia Repair(TEP) presents escalated risks of surgical complications, notably bleeding, particularly in European Hernia Society (EHS) types 3 and recurrent inguinal hernia. In this study, we introduced an innovative technique using indocyanine green-labeled fluorescence laparoscopy to mitigate intraoperative complications, including bleeding and rupture of the hernial sac. METHODS: This retrospective study reviewed records of 17 patients who underwent TEP repair at Anqing Municipal Hospital between July and August 2023. Intraoperatively, fluorescence imaging was utilized to trace the pathway of the spermatic vessels and outline the boundaries of the hernia sac to facilitate a thorough dissection. RESULTS: The procedure was successfully completed in all 17 patients, with a median operation time of 42 min (range: 30-51 min). Median intraoperative blood loss was 5 ml (range: 3-8 ml). Complete dissection of the hernia sac was achieved in each case without any incidents of sac rupture. Hemodynamic parameters of blood flow within the spermatic artery on postoperative day 1 showed no statistically significant deviations from the preoperative values. Furthermore, during the 7-month follow-up period, there were no cases of seroma formation or hernia recurrence. CONCLUSION: Our findings suggest that employing indocyanine green-labeled fluorescence technology in TEP repair significantly reduces intraoperative complications, notably bleeding and rupture of the hernial sac. This technique demonstrated a negligible impact on the hemodynamic parameters of the spermatic artery and reduced the overall surgical time.

3D printing calcium phosphate ceramics with high osteoinductivity through pore architecture optimization.

The osteoinductivity of 3D printed calcium phosphate (CaP) ceramics has a large gap compared with those prepared by conventional foaming methods, and improving the osteoinductivity of 3D printing CaP ceramics is crucial for successful application in bone regeneration. Pore architecture plays a critical role in osteoinductivity. In this study, CaP ceramics with a hexagonal close-packed (HCP) spherical pore structure were successfully fabricated using DLP printing technology. Additionally, octahedral (Octahedral), diamond (Diamond), and helical (Gyroid) structures were constructed with similar porosity and macropore diameter. CaP ceramics with the HCP structure exhibited higher compression strength (8.39 ± 1.82 MPa) and lower permeability (6.41 × 10-11 m2) compared to the Octahedral, Diamond, and Gyroid structures. In vitro cellular responses indicated that the macropore architecture strongly influenced the local growth rate of osteoblast-formed cell tissue; cells grew uniformly and formed circular rings in the HCP group. Furthermore, the HCP group promoted the expression of osteogenic genes and proteins more effectively than the other three groups. The outstanding osteoinductivity of the HCP group was confirmed in canine intramuscular implantation studies, where the new bone area reached up to 8.02 ± 1.94 % after a 10-week implantation. Additionally, the HCP group showed effective bone regeneration in repairing femoral condyle defects. Therefore, our findings suggest that 3D printed CaP bioceramics with an HCP structure promote osteoinductivity and can be considered as candidates for personalized precise treatment of bone defects in clinical applications. STATEMENT OF SIGNIFICANCE: 1. 3D printing BCP ceramics with high osteoinductivity were constructed through pore architecture optimization. 2. BCP ceramics with HCP structure exhibited relatively higher mechanical strength and lower permeability than those with Octahedral, Diamond and Gyroid structures. 3. BCP ceramics with HCP structure could promote the osteogenic differentiation of MC3T3-E1, and showed the superior in-vivo osteoinductivity and bone regeneration comparing with the other structures.

Quantifying chemical correlations between fruits and processed fruit products: A non-targeted analysis approach.

Juices and beverages are produced by industry for long-distance distribution and shelf-stability, providing valuable nutrients. However, their nutritional value is often underestimated due to insufficient analytical methods. We have employed non-targeted analysis through a standardized analytical protocol, taking advantage of Data Independent Acquisition (DIA) technique and a novel Chromatographic Retention Behavior (CRB) data deconvolution algorithm. After analyzing 9 fruits and their products, correlations between fruits and their juices are accurately digitalized by similarities of their LC-MS fingerprints. We also specify non-targeted molecules primarily associate with nutrient loss in these analyzed juice products, including nitrogenous nutrients, flavonoids, glycosides, and vitamins. Moreover, we unveiled previously unreported fruit-characteristic metabolites, of which reconstituted-from-concentrate (RFC) juices contain over 40% of the content found in their fresh counterparts. Conclusively, our method establishes a quantitative benchmark for rational selection of RFC juices to substitute natural fruits.

A meta-analysis for the diagnostic accuracy of SelectMDx in prostate cancer.

To overview the diagnostic accuracy of SelectMDx for the detection of clinically significant prostate cancer and to review sources of methodologic variability. Four electronic databases, including PubMed, Embase, Web of Science, and Cochrane Library were searched for eligible studies investigating the diagnostic value of SelectMDx compared with the gold standard. The pooled sensitivity, specificity, and positive and negative predictive values were calculated. Included studies were assessed according to the Standards for Quality Assessment of Diagnostic Accuracy Studies 2 tool. The review identified 14 relevant publications with 2579 patients. All reports constituted phase 1 biomarker studies. Pooled analysis of findings found an area under the receiver operating characteristic analysis curve of 70% [95% CI, 66%-74%], a sensitivity of 81% [95% CI, 69%-89%], and a specificity of 52% [95% CI, 41%-63%]. The positive likelihood ratio was 1.68, and the negative predictive value is 0.37. Factors that may influence variability in test results included the breath collection method, the patient's physiologic condition, the test environment, and the method of analysis. Considerable heterogeneity was observed among the studies owing to the difference in the sample size. SelectMDx appears to have moderate to good diagnostic accuracy in differentiating patients with clinically significant prostate cancer from people at high risk of developing prostate cancer. Higher-quality clinical studies assessing the diagnostic accuracy of SelectMDx for clinically significant cancer are still needed.

Several laboratory variables indicate severity and prognosis of COVID-19.

OBJECTIVE: While several laboratory variables have been used to assess COVID-19 disease, to our knowledge, no attempt has previously been made to compare differences across different patient groups. We attempted to evaluate the relationship between laboratory variables and severity of the disease as well as on prognosis. METHOD: We searched BioLINCC database and identified three studies which had separately included outpatients, inpatients, and ICU patients. For this re-analysis, we extracted data on general demography, laboratory variables and outcome. RESULT: In total, 2454 participants (496 outpatients [Study 1], 478 inpatients [Study 2], and 1480 ICU patients [Study 3]) were included in the analysis. We found three laboratory variables (i.e., creatinine, aspartate transferase, and albumin) were not only prognostic factors for outcome of inpatients with COVID-19, but also reflected disease severity as they were significantly different between inpatients and ICU patients. These three laboratory variables are an indication of kidney function, liver function, and nutritional status. CONCLUSION: For patients with COVID-19, in addition to monitoring infectious disease indicators, we need to pay attention to liver function, renal function, and take timely measures to correct them to improve prognosis.

Interaction of Cecropin A (1-7) Analogs with DNA Analyzed by Multi-spectroscopic Methods.

Cecropin A (1-7) is a cationic antimicrobial peptide which contain lots of basic amino acids. To understand the effect of basic amino acids on cecropin A (1-7), analogues CA2, CA3 and CA4 which have more arginine or lysine at the N-terminal or C-terminal were designed and synthesized. The interaction of cecropin A (1-7) and its analogs with DNA was studied using ultraviolet-visible spectroscopy, fluorescence spectroscopy and circular dichroism spectroscopy. Multispectral analysis showed that basic amino acids improved the interaction between the analogues and DNA. The interaction between CA4 and DNA is most pronounced. Fluorescence spectrum indicated that Ksv value of CA4 is 1.19 × 105  L mol-1 compared to original peptide cecropin A (1-7) of 3.73 × 104  L mol-1. The results of antimicrobial experiments with cecropin A (1-7) and its analogues showed that basic amino acids enhanced the antimicrobial effect of the analogues. The antimicrobial activity of CA4 against E. coli was eightfold higher than that of cecropin A (1-7). The importance of basic amino acid in peptides is revealed and provides useful information for subsequent studies of antimicrobial peptides.

Biomimetic urine flow control can preserve bladder function in patients with indwelling catheterization.

For patients with long-term indwelling catheterization, bladder function will be affected. It is necessary to explore whether biomimetic urine flow control (BUFC) can improve bladder function in patients undergoing indwelling catheterization. A retrospective, data-only, cohort study was carried out. The patients admitted to the intensive care unit, who had retained catheter and been continuously using a urodynamic monitoring system for over 30 days were selected. They were divided into 2 groups based on whether they were using BUFC function. The urodynamic monitoring data of the 2 groups were compared and analyzed. A total of 30 patients were included in the final analysis, including 15 in the BUFC group and 15 in the unobstructed group. The Urinary Volume and maximal urinary flow rate of the unobstructed group showed a continuous downward trend, while the BUFC group remained stable, and there was a statistical difference (P < .05) between the 2 groups since day 20. The bladder ultrasound imaging showed that the bladder volume of the BUFC group did not decrease significantly on the 30th day. BUFC technology, which provided by a urodynamic monitoring system, has potential protective effects of the bladder function after indwelling catheterization.

Rapid and sensitive determination of free fatty acids based on in-source microdroplet-driven derivatization coupled with high-resolution mass spectrometry.

Accurate and sensitive measurements of free fatty acids (FFAs) in biological samples are valuable for diagnosing and prognosing diseases. In this study, an in-source microdroplet derivation strategy combined with high-resolution mass spectrometry was developed to analyze FFAs in lipid extracts of biological samples directly. FFAs were rapidly derivated with 2-picolylamine (PA) in the microdroplet which is derived by electrospray. With the proposed method, twelve typical FFAs were determined reliably with high sensitivity and acceptable linearities (R2 ≥ 0.94). The LODs and LOQs for the twelve FFAs were 9-76 pg mL-1 and 30-253 pg mL-1, respectively. The developed method was applied to analyze the alteration of FFAs in liver and kidney samples of rats induced by perfluorooctane sulfonate (PFOS) exposure. The good results demonstrate that the established analysis technique is dependable and has promising applications in detecting FFAs associated with complex biological samples.

Early diagnosis for pulmonary embolism: A systematic review and meta-analysis.

BACKGROUND: The incidence of acute pulmonary embolism (APE) (especially early diagnosis) has increased annually in recent years, but the diagnosis of APE is a great challenge for every clinician. However, few studies have evaluated multiple diagnostic indicators simultaneously. METHODS: A systematic search was performed using CNKI, Wan fang data, VIP, PubMed and Web of Science for studies on the diagnosis of pulmonary embolism published up to October 31, 2022. Using the Quality Assessment of Diagnostic Accuracy Studies 2 (QUADAS-2), we evaluated the risk of bias in included studies, and used a random-effects meta-analysis to obtain the summary sensitivity and specificity. The data that were extracted and calculated for this study included the first author, year of publication, country, study type, sample size, disease type, gold standard, diagnostic indicators and 4-compartment table data. We strictly followed the Preferred Reporting Items for Systematics reviews and Meta-Analysis (PRISMA) guidelines in this review. RESULTS: This study included 30 articles with a total sample size of 8947 cases, involving 4 detection methods: D-dimer, Geneva rules, Wells rules, and lung imaging. The combined effect size showed that lung imaging had the highest diagnostic value (SEN = 0.95, SPE = 0.89), followed by D-dimer (SEN = 0.92, SPE = 0.60), Geneva rules (SEN = 0.78, SPE = 0.68), and Wells rules (SEN = 0.77, SPE = 0.67). The area of lung imaging was largest under the Summary Receiver Operator Characteristic (SROC) curve (AUC = 0.97), followed by Geneva rules (AUC = 0.80), Wells rules (AUC = 0.79), and D-dimer (AUC = 0.74). CONCLUSION: All 4 detection methods showed good ability to diagnose PE, and lung imaging was the best. Clinical trials are recommended to build an early decision-making model for the diagnosis of pulmonary embolism in order to increase the detection rate and improve prognosis.

Recent progress and clinical applications of advanced biomaterials in cosmetic surgery.

Materials of different allogeneic or xenogeneic or autologous origins are widely used as soft-tissue fillers or structural scaffolds in the field of cosmetic surgery, while complications including prosthesis infection, donor site deformity and filler embolization have always been difficult problems for plastic surgeons. The application of novel biomaterials may bring in hopeful solutions for these problems. Recently, some advanced biomaterials, such as regenerative biomaterials can effectively promote the repair of defective tissues, which have been proven to have good therapeutic as well as cosmetic effects in cosmetic surgery. Therefore, biomaterials with active compounds have drawn significant attention for the tissue regeneration of reconstructive and esthetic treatment. Some of these applications have achieved better clinical outcomes than traditional biological materials. This review summarized recent progress and clinical applications of advanced biomaterials in cosmetic surgery.

Parthenolide Attenuates Sepsis-Induced Acute Kidney Injury in Rats by Reducing Inflammation.

Background: Sepsis is a common complication of severe trauma, burns, infection, or major surgery. This disease-related end-organ dysfunction results from systemic inflammatory response syndrome (SIRS). Acute kidney damage (AKI), also known as acute renal failure, is one of the most frequent and serious sequelae of sepsis. Nuclear transcription factor-κB (NF-κB) regulates the transcription of inflammation-related genes and operates as a mediator in the immune system. While parthenolide (PTL) has been reported to prevent harmful inflammatory reactions, its effects on sepsis-associated AKI are unknown. The current study investigates the effects of PTL in sepsis-associated AKI using cell and cecal ligation and puncture (CLP) models. Methods: Lipopolysaccharide (LPS)-stimulated rat glomerular mesangial cells were treated with 10 µM PTL. Inflammatory mediators, including TNF-α, IL-6, and IL-1ß, in the culture supernatants were measured by ELISA, and NF-κB levels were assessed by qPCR. After the generation of the septic CLP model, rats were intraperitoneally injected with 500 g/kg PTL and were euthanized after 72 h. Serum and kidney samples were analyzed. Results: TNF-α, IL-1ß, and IL-6 levels were elevated after LPS treatment of rat glomerular mesangial cells (p=0.004, p=0.002, and p=0.004, respectively) but were significantly reduced in the PTL treatment group (p ≤ 0.001, p=0.01, and p ≤ 0.001). NF-κB p65 levels were also increased after LPS treatment in this group and were reduced in the PTL treatment group. PTL treatment also reduced kidney damage after CLP induction, as shown by histological analysis and reductions in the levels of BUN, Cre, KIM-1, and NAGL. CLP-induced kidney inflammation together with increased levels of proinflammatory cytokines and inflammatory-related proteins. The elevated levels of renal TNF-α, IL-6, and IL-1ß were downregulated after PTL treatment. The PTL treatment also reduced the CLP-induced activation of NF-κB p65 in the damaged kidneys. Conclusion: PTL reduced inflammation induced by CLP-induced AKI in rat models and LPS-induced damage to glomerular mesangial cells by suppressing NF-κB signaling.

Nanoparticle-Delivered Transforming Growth Factor-ß1 siRNA Induces PD-1 against Gastric Cancer by Transforming the Phenotype of the Tumor Immune Microenvironment.

Immune checkpoint blockade (ICB) is currently considered to be an important therapeutic method, which obtained FDA approval for clinical use in gastric cancer in 2017. As a new mechanism, it was found that the effect of αPDL1 could be improved by blocking the TGF-ß1 signaling pathway, which converts the tumor immune microenvironment from the "immune-excluded phenotype" to the "immune-inflamed phenotype". Based on this phenomenon, this project was designed to prepare TGF-ß1-siRNA-loaded PEG-PCL nanoparticles conjugated to αPDL1 (siTGF-ß1-αPDL1-PEG-PCL) since we have linked similar antibodies to PEG-PCL previously. Therefore, MFC tumor-engrafted mice were established to simulate the biological characteristics of converting the phenotype of the immune microenvironment, and to study the anti-tumor effect and possible molecular mechanism. In this study, αPDL1 antibody conjugates markedly increased the cell uptake of NPs. The produced αPDL1-PEG-PCL NPs efficiently reduced the amounts of TGF-ß1 mRNA in MFC cells, converting the immune microenvironment of MFC tumors engrafted mice from the "immune-excluded phenotype" to the "immune-inflamed phenotype". PDL1-harboring gastric cancer had increased susceptibility to αPDL1. The value of this drug-controlled release system targeting the tumor microenvironment in immune checkpoint therapy of gastric cancer would provide a scientific basis for clinically applying nucleic acid drugs.

Hematopoietic Stem Cell Transplantation for Acute Myeloid Leukemia: An Overview of Systematic Reviews.

Background: Hematopoietic stem cell transplantation (HSCT) has become the main treatment for acute myeloid leukemia (AML) and has been studied in many systematic reviews (SRs), but strong conclusions have not been drawn yet. Objective: This study aimed to summarize and critically evaluate the methodological and evidence quality of SRs and meta-analysis on this topic. Methods: PubMed, Embase, the Cochrane Library, and Web of Science were searched for SRs/meta-analyses regarding HSCT for AML. Two reviewers assessed the quality of SRs/meta-analyses in line with AMSTAR-2 and evaluated the strength of evidence quality with the grading of the evaluation system (GRADE) for concerned outcomes independently. Results: 12 SR/Meta articles were included, and the AMSTAR-2 scale showed that the quality grade of all articles was low or very low. GRADE results showed 29 outcomes, 2 of which were high, 12 were moderate, and 15 were low. Limitations and inconsistency were the most important factors leading to degradation, followed by imprecision and publication bias. Allo-SCT had better OS and DFS benefits than auto-SCT and significantly reduced the relapse in intermediate-risk AML/CR1 patients. Auto-SCT was associated with lower TRM than allo-SCT but generally had higher relapse. The results should be confirmed further for the low or moderate evidence quality. Conclusion: Current SRs show that allo-SCT in the treatment of AML might improve the OS, RFS, and DFS. Auto-SCT has significantly lower TRM but higher RR. Whether bone marrow transplantation is superior to nonmyeloablative chemotherapy remains to be evaluated. Meanwhile, the quality of methodology needs to be further improved. The intensity of evidence was uneven, and the high-quality evidence of outcomes was lacking. Considering the limitations of our overview, more rigorous and scientific studies are needed to fully explore the efficacy of different interventions of HSCT in AML, and clinicians should be more cautious in the treatment.

Value of digital PCR in the early diagnosis of sepsis: A systematic review and meta-analysis.

BACKGROUND: We systematically assessed whether a digital polymerase chain reaction (PCR) could detect pathogenic microorganisms in patients with sepsis early and accurately. METHODS: We searched the Cochrane Library, MEDLINE, Embase, CNKI, CBM, and Wanfang Data databases for eligible studies to compare the detection of pathogenic microorganisms in blood samples by digital PCR with the gold standard. The Quality Assessment of Diagnostic Accuracy Studies 2 was used to evaluate bias risk, and a random-effects meta-analysis approach was used for sensitivity and specificity calculations. RESULTS: Among the eight articles, there were eight identified studies with a total of 1278 subjects. The pooled sensitivity of digital PCR was 94% (95% confidence interval [CI], 85%-98%), the specificity was 87% (95% CI, 76%-94%), the positive likelihood ratio was 7.3 (95% CI, 3.8-14.2), the negative likelihood ratio was 0.07 (95% CI, 0.03-0.17), the positive predictive value was 84.7%, the negative predictive value was 89.2%, the diagnostic odds ratio was 105 (95% CI, 37-303), and the area under the receiver operating characteristic curve was 0.97 (95% CI, 0.95-1.00). Digital PCR can shorten the detection time of pathogenic microorganisms in patients with sepsis. CONCLUSIONS: Digital PCR can detect pathogenic microorganisms in patients with sepsis earlier than blood culture. Therefore, digital PCR can be used as a potential strategy for the detection of pathogenic microorganisms in patients with sepsis.

Early Warning of Enterprise Financial Risk Based on Decision Tree Algorithm.

To improve enterprise financial early warning, we propose an algorithm based on a decision tree. According to the shortcomings and defects of the classical algorithm and the traditional decision tree algorithm, in the ordinary decision tree improved algorithm based on PCA, there is a problem that the representativeness of the data after dimensionality reduction processing are not high, resulting in the fact that the accuracy of the algorithm can be improved slightly after multiple data runs. Based on the classical algorithm, attribute eigenvalues before classification are extracted twice, and the amount of data to be classified is calculated. That is, the most important attributes of the original data are selected. After the subtree is established, the dimension reduction and merging selection of the data are performed, and the improved algorithm is verified by using three data sets in the UCI database. The results show that the average accuracy in the three datasets is 94.6%, which is improved by 1.6% and 0.6% for the traditional classical algorithm and the ordinary PCA decision tree optimization algorithm, respectively. PCA-based decision tree algorithms can improve the accuracy of the results to some extent, which is of practical importance. In the future, a classic algorithm improved for secondary modeling will be used to obtain a more efficient decision tree model. The decision tree algorithm has been proven to recognize an early warning of an enterprise's financial risks, which enhances the effectiveness of an enterprise's early financial warning.