Association Between Platelet Levels and 28-Day Mortality in Patients With Sepsis: A Retrospective Analysis of a Large Clinical Database MIMIC-IV.

Background: This research focused on evaluating the correlation between platelet count and sepsis prognosis, and even the dose-response relationship, in a cohort of American adults. Method: Platelet counts were recorded retrospectively after hospitalization for patients admitted to Beth Israel Deaconess Medical Center's intensive care unit between 2008 and 2019. On admission to the intensive care unit, sepsis patients were divided into four categories based on platelet counts (very low < 50 × 109/L, intermediate-low 50 × 109-100 × 109/L, low 100 × 109-150 × 109/L, and normal ≥ 150 × 109/L). A multivariate Cox proportional risk model was used to calculate the 28-day risk of mortality in sepsis based on baseline platelet counts, and a two-piece linear regression model was used to calculate the threshold effect. Results: The risk of 28-day septic mortality was nearly 2-fold higher in the platelet very low group when compared to the low group (hazard ratios [HRs], 2.24; 95% confidence interval [CI], 1.92-2.6). Further analysis revealed a curvilinear association between platelets and the sepsis risk of death, with a saturation effect predicted at 100 × 109/L. When platelet counts were below 100 × 109/L, the risk of sepsis 28-day death decreased significantly with increasing platelet count levels (HR, 0.875; 95% CI, 0.84-0.90). Conclusion: When platelet count was less than 100 × 109/L, it was a strong predictor of the potential risk of sepsis death, which is declined by 13% for every 10 × 109/L growth in platelets. When platelet counts reach up to 100 × 109/L, the probability of dying to sepsis within 28 days climbs by 1% for every 10 × 109/L increase in platelet count.

Correlation of AIF-1 Expression with Immune and Clinical Features in 1270 Glioma Samples.

AIF-1 gene is surrounded by the genes involved in the inflammatory response and located in the major histocompatibility complex (MHC) class III genomic region. It has been found that microglial cells expressed the AIF-1 gene during all stages of mice brain development. However, the role of AIF-1 remains unclear in glioma. A total of 1270 glioma patients from three independent data sets were enrolled in the study. TIMER platform was used for comprehensive molecular characterization of tumor immune infiltrates. Sangerbox was used to analyze AIF-1 RNA sequencing expression data of tumors and normal samples, and to evaluate the association between AIF-1 expression and 29 sub-populations of immune cells. The R language 3.63 was used to identify differentially expressed genes for Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment. Kaplan-Meier survival analysis and univariate/multivariate Cox analysis were used to examine survival distributions. We found that AIF-1 gene was prominently up-regulated, especially in brain glioma including LGG and GBM. A strong correlation was observed between AIF-1 expression and the majority of immune cells, particularly in macrophage, myeloid-derived suppressor cells. Moreover, AIF-1 expression was correlated with immune infiltration level. We found that AIF-1 expression was strongly correlated with the specific immune and prognostic cell markers of monocytes, microglia and macrophages, M1 macrophages, and M2 macrophages after normalization through tumor purity in TCGA-LGG and TCGA-GBM. Higher expression level of AIF-1 was found to be significantly correlated with poor prognosis. GO analysis and KEGG pathways indicated that AIF-1 could affect glioma-related immune activities. Our study suggests that AIF-1 can be treated as a prognostic biomarker for glioma patients. AIF-1 was involved in pro-tumor processes and the regulation of immune status and correlates with poor prognosis.

Relationship between Lp-PLA2 and in-stent restenosis after coronary stenting: a 3-year follow-up study.

BACKGROUND AND AIMS: Coronary in-stent restenosis (ISR) is an important complication of percutaneous coronary intervention (PCI). However, the relationship between lipoprotein associated phospholipase A2 (Lp-PLA2) level and ISR after PCI is rarely reported. This study aims to explore the relationship between Lp-PLA2 and the occurrence of ISR at post-PCI and its predictive value for ISR. METHODS AND RESULTS: Plasma Lp-PLA2 mass were measured in 847 patients planting 1262 stents and evaluated along with known risk indicators. One-year angiographic follow-up showed that baseline elevated Lp-PLA2 mass was strongly associated with early restenosis (95% CI = 1.062-3.050, P < 0.05). Beyond the first year, the occurrence of late restenosis (95% CI = 1.043-3.214, P < 0.05) was significantly larger in the elevated Lp-PLA2 group. Kaplan-Meier analysis after three-year clinical follow up suggested that Lp-PLA2 mass did add the positive effect on the occurrence of major adverse cardiovascular events (MACEs). CONCLUSION: In conclusion, increased baseline plasma Lp-PLA2 predicts increased risks of re-stenosis and MACEs, which may be a novel biomarker for predicting ISR and MACEs.

Nanostructured High-Performance Thin-Film Transistors and Phototransistors Fabricated by a High-Yield and Versatile Near-Field Nanolithography Strategy.

Thin-film transistors (TFTs) and field-effect transistors (FETs) are basic units to build functional electronic circuits and investigate transport physics. In conventional TFTs or FETs, performance in terms of current level, on-off ratio, and the sensitivity of detection is limited by homogeneous semiconducting layers. In this paper, we develop TFTs with submicron heterostructures by using a strategy based on near-field photolithography. We use an array of total-reflective polydimethylsiloxane pyramids or trenches as a soft photomask in photolithography to induce multiple reflections and diffractions to focus the light. The textured feature enables the generation of gaps, dots, and grids at the nanoscale, with dimensions as small as sub-100 nm on substrates at the centimeter scale. We demonstrated the very high performance oxide TFTs on the nanoscale and periodic degenerately doped heterojunctions, and they yielded a nearly 20-fold increase in transconductance and apparent device mobility. The on-off ratio was higher than 109, with notably enhanced output current and clear scaling effect with channel length. We also built nanostructured wide-gap/narrow-gap heterojunctions to balance the high on-off ratio and sensitive photoresponse in a unidirectional phototransistor. This study shows the viability of programming a variety of nanoscale submicron patterns or interfaces in TFTs and FETs to significantly enlarge the scope of research on multifunctional TFTs and FETs.