Systemic immune-inflammation index combined with quick sequential organ failure assessment score for predicting mortality in sepsis patients.

Objective: To evaluate the prognostic ability of systemic immune-inflammation index (SII) combine with quick Sequential Organ Failure Assessment (qSOFA) criteria in predicting the 28-day mortality of sepsis. Methods: A retrospective cohort study was conducted, with the population comprised in whom sepsis was confirmed. Clinical and laboratory data recorded were analyzed. The score of Sequential Organ Failure Assessment (SOFA), SII, qSOFA were calculated. Multivariable regression, receiver operating characteristic (ROC) analysis and Kaplan-Meier method were used to identify and compared the predictors of prognosis among SOFA, qSOFA, and the combination of SII with qSOFA. Results: A total of 349 patients admitted from December 2020 and December 2022 were included in the cohort. 95 (27.2%) of whom had died by day 28. The SII, SOFA, and qSOFA scores were significant higher in the non-survivors than that of survivors (P < 0.05), and identified as independent predictors of sepsis mortality. The addition of SII to qSOFA shown an area under receiver operator characteristic (AUROC) of 0.840 (95% CI: 0.787-0.884), manifested an effective ability in predicting poor outcome than other scoring systems. The optimum cutoff for SII (>1.7668) and qSOFA (>1) represented a high risk level in 28-day mortality of sepsis, were performed and identified in Kaplan-Meier survival curves (log-rank test, HR: 6.942, 95% CI: 3.976-12.121; P < 0.0001). Conclusion: The SII in addition to qSOFA provided an effective prognostic tool for predicting mortality in sepsis.

A retrospective study of Reyanning mixture in elderly patients infected with SARS-CoV-2 Omicron variant.

Objective: Reyanning mixture has been demonstrated to be effective in treating infected patients during the outbreak pandemic of SARS-CoV-2 Omicron variant of Coronavirus disease 2019 (COVID-19) in Shanghai 2022. The aim of this study is to further investigate the role of Reyanning mixture specifically in the treatment of elderly patients. Methods: This study enrolled 1,102 elderly patients who were infected with SARS-CoV-2 Omicron variant. Of these, 291 patients received Reyanning mixture in conjunction with conventional Western medicine treatment were assigned to the treatment group, while 811 patients only received conventional Western medicine treatment were assigned to the control group. Clinical parameters including hospitalization duration, viral shedding time, and Cycle Threshold (Ct) values of novel coronavirus nucleic acid tests, as well as adverse events were recorded and analyzed in both groups. Results: There was no significant difference in baseline characteristics between two groups. In comparison to the control group, the treatment group demonstrated a substantial difference in hospitalization duration (median: 8 days vs. 10 days, HR: 0.638, 95% CI: 0.558-0.731, p < 0.001). The treatment group also showed a significantly shorter viral shedding time compared to the control group (median: 7 days vs. 8 days, HR: 0.754, 95% CI: 0.659-0.863, p < 0.001). Multivariate Cox proportional-hazards model analysis indicated that the use of Reyanning mixture was closely associated with a reduction in hospitalization duration (HR: 1.562, 95% CI: 1.364-1.789, p < 0.001) and viral shedding time (HR: 1.335, 95% CI: 1.166-1.528, p < 0.001). In addition, during the treatment process, no serious adverse event occurred in either group. Conclusion: The improvement of clinical parameters in the treatment group indicate a promising therapeutic benefit of Reyanning mixture for elderly patients infected with SARS-CoV-2 Omicron variant in the present study. Further investigations are required to validate this finding by examining the underlying mechanism and function of Reyanning mixture.

Predictive value of risk factors for prognosis of patients with sepsis in intensive care unit.

Sepsis has emerged as a major global public health concern due to its elevated mortality and high cost of care. This study aimed to evaluate the risk factors associated with the mortality of sepsis patients in the Intensive Care Unit (ICU), and to intervene in the early stages of sepsis in order to improve patient outcomes and reduce mortality. From January 1st, 2021 to December 31st, 2021, Longhua Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Huashan Hospital Affiliated to Fudan University, and The Seventh People's Hospital Affiliated to Shanghai University of Traditional Chinese Medicine were designated as sentinel hospitals, and sepsis patients in their respective ICU and Emergency ICU were selected as research subjects, and divided into survivors and non-survivors according to their discharge outcomes. The mortality risk of sepsis patients was subsequently analyzed by logistic regression. A total of 176 patients with sepsis were included, of which 130 (73.9%) were survivors and 46 (26.1%) were non-survivors. Factors identified as having an impact on death among sepsis patients included female [Odds Ratio (OR) = 5.135, 95% confidence interval (CI): 1.709, 15.427, P = .004)], cardiovascular disease (OR = 6.272, 95% CI: 1.828, 21.518, P = .004), cerebrovascular disease (OR = 3.133, 95% CI: 1.093, 8.981, P = .034), pulmonary infections (OR = 6.700, 95% CI: 1.744, 25.748, P = .006), use of vasopressors (OR = 34.085, 95% CI: 10.452, 111.155, P < .001), WBC < 3.5 × 109/L (OR = 9.752, 95% CI: 1.386, 68.620, P = .022), ALT < 7 U/L (OR = 7.672, 95% CI: 1.263, 46.594, P = .027), ALT > 40 U/L (OR = 3.343, 95% CI: 1.097, 10.185, P = .034). Gender, cardiovascular disease, cerebrovascular disease, pulmonary infections, the use of vasopressors, WBC, and ALT are important factors in evaluating the prognostic outcome of sepsis patients in the ICU. This suggests that medical professionals should recognize them expeditiously and implement aggressive treatment tactics to diminish the mortality rate and improve outcomes.

Mechanisms of JinHong Formula on treating sepsis explored by randomized controlled trial combined with network pharmacology.

ETHNOPHARMACOLOGICAL RELEVANCE: JinHong Formula (JHF) was derived from the famous Rhubarb and Moutan Decoction which was prescribed for appendicitis. It was originally recorded in the classic of "Jingui Yaolve" written by Zhang Zhongjing. It is a kind of traditional Chinese medicine, widely used in the treatment of inflammation. However, the clinical effect of JHF for sepsis and its comprehensive mechanism in sepsis remained largely unknown. RESEARCH PURPOSE: The aim of our study was to evaluate the clinical effect of JHF in the treatment of sepsis, and to explore its mechanism from the perspective of network pharmacology. RESEARCH METHODS: The single-center randomized clinical trial was conducted to assess the effect of JHF in the treatment of sepsis. Additionally, we used the Chinese herbal medicine pharmacology database and analysis platform to identify the active components and therapeutic target of JHF. Numerous well-known disease target databases have been used to screen therapeutic target proteins for sepsis. Furthermore, we have established a Protein-Protein Interaction (PPI) network and carried out Gene Onotology/Kyoto Encyclopedia of Genes and Genomes (GO/KEGG) enrichment analysis. In order to conclude which active compounds from JHF may be responsible for signaling pathway, we performed network analysis. RESEARCH RESULTS: The study included 114 patients. By comparing participants with and without JHF, the results suggested that JHF significantly reduced all-cause mortality on 28 and 60 days after intervention, and improved Sequential Organ Failure Assessment (SOFA) on 7th day after intervention as well as. JHF had an effect of anti-inflammatories and antioxidants (SOD). By using network pharmacological analysis, we identified 72 active components and 426 target genes of JHF, and successfully constructed a "JHF-compound target-sepsis" network. 116 mentioned targets revealed by GO/KEGG enrichment analysis played a significant role in the inflammatory reaction and immunoregulation via interleukin-17 (IL-17) and tumor necrosis factor (TNF) signaling pathway. Moreover, the analysis of "pathway target-active component" revealed that Sennidin A, Rheidin A, Rheidin B, Rheidin C, (E)-4-Phenyl-3-Buten-2-One, Osmanthuside H, Esculetin, and Caffeicacid were responsible for IL-17, TNF signaling pathways. CONCLUSION: JHF contains potential active substance of anti-inflammatory and antioxidant. These active compounds may come into play through IL-17 and TNF signaling pathways. For sepsis, JHF may be a promising and effective treatment strategy.