Prognostic value of creatine kinase (CK)-MB to total-CK ratio in colorectal cancer patients after curative resection.

OBJECTIVES: This study aimed to evaluate the prognostic significance of postoperative Creatine Kinase type M and B (CK-MB) to total Creatine Kinase (CK) ratio (CK-MB/CK) in colorectal cancer (CRC) patients after radical resection. METHODS: This was a single-center retrospective cohort analysis. Subjects were stage I-III CRC patients hospitalized in Sichuan Cancer Hospital from January 2017 to May 2021. Patients were divided into abnormal group and normal group according to whether the CK-MB/CK ratio was abnormal after surgery. Through a comparative analysis of clinical data, laboratory test results, and prognosis differences between the two groups, we aimed to uncover the potential relationship between abnormal CK-MB > CK results and CRC patients. To gauge the impact of CK-MB/CK on overall survival (OS) and disease-free survival (DFS), we employed the multivariable COX regression and LASSO regression analysis. Additionally, Spearman correlation analysis, logistic regression, and receiver-operating characteristic (ROC) curve analysis were conducted to assess the predictive value of the CK-MB/CK ratio for postoperative liver metastasis. RESULTS: Cox regression analysis revealed that the CK-MB/CK ratio was a stable risk factors for OS (HR = 3.82, p < 0.001) and DFS (HR = 2.31, p < 0.001). To distinguish hepatic metastases after surgery, the ROC area under the curve of CK-MB/CK was 0.697 (p < 0.001), and the optimal cut-off value determined by the Youden index was 0.347. CONCLUSIONS: Postoperative abnormal CK-MB/CK ratio predicts worse prognosis in CRC patients after radical resection and serves as a useful biomarker for detecting postoperative liver metastasis.

[Clinical Characteristics and Risk Factors of ESKAPE Pathogens Bloodstream Infection in Cancer Patients].

OBJECTIVE: To identify the risk factors of ESKAPE pathogens infection and related death in cancer patients, and to supply evidence for clinical precaution and diagnosis. METHODS: A retrospective study of clinical and experimental data of cancer patients with bloodstream infection were carried out in Sichuan Cancer Hospital from 2013 to 2018. The clinical feature, predisposing factors and risk factors of death in ESKAPE group and non-ESKAPE group were analyzed by univariate analysis and multivariate logistic regression. RESULTS: A total of 753 patients were enrolled in the study. Totally 795 pathogenic bacteria strains were isolated from blood culture and there were 278 ESKAPE strains, which took up 34.97% of isolated strains. Univariate analysis and multivariate logistic regression analysis showed that gender of male, multiple pathogens, history of exposure to enzyme inhibitors and agranulocytosis were independent risk factors of ESKAPE pathogens bloodstream infection. Peritoneal infection and combined fungal infection were independent risk factors of ESKAPE bloodstream infection related death. CONCLUSION: The bloodstream infection of ESKAPE pathogens is a problem worthy of clinical attention for cancer patients with neutrophil deficiency, previous antibiotic exposure, and fungal infection and peritoneal infection.

Preoperative high c-reactive protein/albumin ratio is a poor prognostic factor of oral squamous cell carcinoma.

Aim: To explore whether c-reactive protein/albumin (CRP/Alb) ratio is a poor prognostic factor for patients with oral squamous cell carcinoma (OSCC). Patients & methods: Receiver-operating characteristic analysis was performed to evaluate the optimal cut-off value of CRP/Alb ratio in 240 patients with OSCC. The Kaplan-Meier method was used to plot the overall survival and disease-free survival curves. Cox proportional hazards model was used to implement univariate and multivariate analyses. Results: Preoperative high CRP/Alb ratio was associated with age, advanced stage, lymphatic metastasis, platelet-to-lymphocyte ratio and neutrophil-to-lymphocyte ratio (all p < 0.05). Elevated CRP/Alb ratio independently predicts worse overall survival and disease-free survival of patients with OSCC. Conclusion: Preoperative high CRP/Alb ratio was a poor independent prognostic marker of OSCC.

Signal amplification strategy of DNA self-assembled biosensor and typical applications in pathogenic microorganism detection.

Biosensors have emerged as ideal analytical devices for various bio-applications owing to their low cost, convenience, and portability, which offer great potential for improving global healthcare. DNA self-assembly techniques have been enriched with the development of innovative amplification strategies, such as dispersion-to-localization of catalytic hairpin assembly, and dumbbell hybridization chain reaction, which hold great significance for building biosensors capable of realizing sensitive, rapid and multiplexed detection of pathogenic microorganisms. Here, focusing primarily on the signal amplification strategies based on DNA self-assembly, we concisely summarized the strengths and weaknesses of diverse isothermal nucleic acid amplification techniques. Subsequently, both single-layer and cascade amplification strategies based on traditional catalytic hairpin assembly and hybridization chain reaction were critically explored. Furthermore, a comprehensive overview of the recent advances in DNA self-assembled biosensors for the detection of pathogenic microorganisms is presented to summarize methods for biorecognition and signal amplification. Finally, a brief discussion is provided about the current challenges and future directions of DNA self-assembled biosensors.

A novel prognostic model for malignant patients with Gram-negative bacteremia based on real-world research.

Gram-negative bacteremia (GNB) is a common complication in malignant patients. Identifying risk factors and developing a prognostic model for GNB might improve the survival rate. In this observational and real-world study, we retrospectively analyzed the risk factors and outcomes of GNB in malignant patients. Multivariable regression was used to identify risk factors for the incidence of GNB, while Cox regression analysis was performed to identify significant prognostic factors. A prognostic model was constructed based on Cox regression analysis and presented on a nomogram. ROC curves, calibration plots, and Kaplan-Meier analysis were used to estimate the model. It comprised 1004 malignant patients with Bloodstream infection (BSI) in the study cohort, 65.7% (N = 660) acquired GNB. Multivariate analysis showed gynecologic cancer, hepatobiliary cancer, and genitourinary cancer were independent risk factors related to the incidence of GNB. Cox regression analysis raised that shock, admission to ICU before infection, pulmonary infection, higher lymphocyte counts, and lower platelet counts were independent risk factors for overall survival (OS). The OS was significantly different between the two groups classified by optimal cut-off value (log-rank, p < 0.001). Above all, a nomogram was created based on the prognostic model, which was presented on a website freely. This real-world study was concentrated on the malignant patients with GNB and proved that shock, admission to ICU before infection, pulmonary infection, higher lymphocyte counts, and lower platelet counts were related to the death of these patients. And a prognostic model was constructed to estimate the risk score of mortality, further to reduce the risk of death.