Background Interest in critical care–related artificial intelligence (AI) research is growing rapidly. However, the literature is still lacking in comprehensive bibliometric studies that measure and analyze scientific publications globally. Objective The objective of this study was to assess the global research trends in AI in intensive care medicine based on publication outputs, citations, coauthorships between nations, and co-occurrences of author keywords. Methods A total of 3619 documents published until March 2022 were retrieved from the Scopus database. After selecting the document type as articles, the titles and abstracts were checked for eligibility. In the final bibliometric study using VOSviewer, 1198 papers were included. The growth rate of publications, preferred journals, leading research countries, international collaborations, and top institutions were computed. Results The number of publications increased steeply between 2018 and 2022, accounting for 72.53% (869/1198) of all the included papers. The United States and China contributed to approximately 55.17% (661/1198) of the total publications. Of the 15 most productive institutions, 9 were among the top 100 universities worldwide. Detecting clinical deterioration, monitoring, predicting disease progression, mortality, prognosis, and classifying disease phenotypes or subtypes were some of the research hot spots for AI in patients who are critically ill. Neural networks, decision support systems, machine learning, and deep learning were all commonly used AI technologies. Conclusions This study highlights popular areas in AI research aimed at improving health care in intensive care units, offers a comprehensive look at the research trend in AI application in the intensive care unit, and provides an insight into potential collaboration and prospects for future research. The 30 articles that received the most citations were listed in detail. For AI-based clinical research to be sufficiently convincing for routine critical care practice, collaborative research efforts are needed to increase the maturity and robustness of AI-driven models.
Previous work showed that the activation of protein kinase A (PKA) signaling promoted mitochondrial fusion and prevented podocyte apoptosis. The cAMP response element binding protein (CREB) is the main downstream transcription factor of PKA signaling. Here we show that the PKA agonist 8-(4-chlorophenylthio)adenosine 3',5'-cyclic monophosphate-cyclic AMP (pCPT-cAMP) prevented the production of adriamycin (ADR)-induced reactive oxygen species and apoptosis in podocytes, which were inhibited by CREB RNA interference (RNAi). The activation of PKA enhanced mitochondrial function and prevented the ADR-induced decrease of mitochondrial respiratory chain complex I subunits, NADH-ubiquinone oxidoreductase complex (ND) 1/3/4 genes, and protein expression. Inhibition of CREB expression alleviated pCPT-cAMP-induced ND3, but not the recovery of ND1/4 protein, in ADR-treated podocytes. In addition, CREB RNAi blocked the pCPT-cAMP-induced increase in ATP and the expression of peroxisome proliferator-activated receptor gamma coactivator 1 alpha (PGC1-α). The chromatin immunoprecipitation assay showed enrichment of CREB on PGC1-α and ND3 promoters, suggesting that these promoters are CREB targets. , both an endogenous cAMP activator (isoproterenol) and pCPT-cAMP decreased the albumin/creatinine ratio in mice with ADR nephropathy, reduced glomerular oxidative stress, and retained Wilm's tumor suppressor gene 1 (WT-1)-positive cells in glomeruli. We conclude that the upregulation of mitochondrial respiratory chain proteins played a partial role in the protection of PKA/CREB signaling.
Background: Early identification and timely management of septic AKI continue to represent clinical challenges for intensive care. The aim was to evaluate the effect of renal replacement with oXiris filter on clinical outcomes in septic AKI. Methods: This was a single-center randomized controlled trial that enrolled surgical septic shock with AKI patients admitted in the ICU, Renji Hospital, Shanghai Jiao Tong University, School of Medicine from Jan 1, 2021 to Sep 30, 2021, were screened. Results: Sixteen subjects that met the inclusion and exclusion criteria were randomized into CRRT with AN69-oXiris group ( n = 8) and AN69-ST group ( n = 8). The PCT and IL-6 concentration decreased significantly after the first treatment compared to pre-CRRT levels in the oXiris group (PCT: 23.46 [4.18, 84.90] vs 52.79 [9.03, 100.00] µg/L, p = 0.046; IL-6: 3080.15 [527.62, 9806.61] vs 10,457.17 [8150.00, 15,528.87] pg/mL, p = 0.043). The levels of lactate decreased by 1.70 [1.03, 2.83] mmol/L after the first CRRT in the oXiris group ( p = 0.028). The norepinephrine infusion rate was decreased by 0.06 [0, 0.09], 0.05 [0, 0.23] and 0.11 [0, 0.23] μg/kg/min at 4, 6, and 8 h in the oXiris group compared to the ST group ( p = 0.005, 0.038, and 0.017). Conclusion: Using the oXiris filter may improve hemodynamic status during initial CRRT in severe surgical septic shock with AKI. Further large multicenter RCTs are needed to determine the effect of the oXiris filter on patient outcomes. ( http://www.chictr.org.cn/index.aspx (ChiCTR2200055732)).
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