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Abstract Background Readmission to the intensive care unit (ICU) remains a severe challenge, leading to higher rates of death and a greater financial burden. This study aimed to develop a nomogram-based prediction model for individuals with acute type A aortic dissection (ATAAD). Methods A total of 846 ATAAD patients were retrospectively enrolled between May 2014 and October 2021. Logistic regression was employed to identify the independent risk factors. The prediction model was evaluated using the Hosmer–Lemeshow (H–L) test, the calibration curve, and the area under the receiver operating characteristic curve (AUC). Decision curve analysis (DCA) was used to assess the clinical utility. Results 57 (6.7%) ATAAD patients were readmitted to ICU following their release from the ICU. ICU readmission was predicted with age ≥ 65 years old, body mass index (BMI) ≥ 28 kg/m2, tracheotomy, continuous renal replacement therapy (CRRT), and the length of initial ICU stay were predictors of ICU readmission. The AUC was 0.837 (95%CI: 0.789–0.884) and the model fit the data well (H–L test, P = 0.519). DCA also demonstrated good clinical practicability. Conclusions This prediction model may be helpful for clinicians to assess the risk of ICU readmission, and facilitate the early identification of ATAAD patients at high risk.

Abstract Malnutrition is linked to adverse outcomes in post-cardiac surgery patients. This study investigates the correlation between the Geriatric Nutritional Risk Index (GNRI) and adverse hospital outcomes in patients following cardiac surgery. This retrospective study included elderly patients with heart disease who were admitted to the Department of Cardiology, Fujian Medical University Union Hospital from January 2020 to December 2022. Patients were divided into two groups based on the cut-off value (98 g/dL). Data from 407 patients were assessed, with 278 (68.3%) classified as having nutritional risk and 129 (31.7%) as having no nutritional risk. Notable distinctions were observed in body weight, BMI, and left ventricular ejection fraction (P

BackgroundNumerous recent studies have found a strong correlation between intestinal flora and the occurrence of hypertension. However, it remains unclear whether fecal microbiota transfer might affect the blood pressure of the host. This study aimed to quantify both associations.MethodsAn electronic search was conducted in PubMed, EMBASE, Cochrane Library, Web of Science, China National Knowledge Infrastructure (CNKI), WanFang database, Weipu, Embase, and SinoMed to retrieve relevant studies. The final search was completed on August 22, 2022. Two authors independently applied the inclusion criteria, extracted data, and assessed the risk of bias assessment. All data were analyzed using RevMan 5.4.ResultsA total of 5 articles were selected for final inclusion. All studies were assessed as having a high risk of bias according to the SYRCLE risk of bias tool. The meta-analysis results showed that transplantation of fecal bacteria from the hypertensive model can significantly improve the host's systolic pressure (MD = 18.37, 95%CI: 9.74~26.99, PConclusionThis meta-analysis suggests a relationship between gut microbiota dysbiosis and increased blood pressure, where transplantation of fecal bacteria from the hypertensive model can cause a significant increase in systolic pressure and diastolic pressure in animal models.

Abstract The Indo-Pacific king mackerel, scientifically known as Scomberomorus guttatus, is a valued marine species that holds significant commercial importance in the Indo-Pacific region. However, the lack of genomic resources has hindered a comprehensive understanding of this species. In this study, we constructed a genome of Indo-Pacific king mackerel at the chromosome level using a combination of PacBio HiFi reads and a chromosome contact map (Hi-C). The resulting genome had high contig and scaffold N50 values of 8.84 Mb and 32.9 Mb, respectively. In the genome assembly, which is 797.66 Mb in size and consists of 24 chromosomes, we also identified 35.89% repetitive elements and predicted 25,886 protein-coding genes. Our study not only benefits to reveal the possible mechanism of adaptive evolution in this fish, but also offers insight for the future sustainable management of these valuable biological resources.

IntroductionCoastal marine ecosystems are among the most ecologically and socio-economically dynamic regions on Earth, and the study of eukaryotic planktonic communities is an important aspect of aquatic ecology. It is essential to monitor plankton biodiversity and identify influencing factors in order to measure human effects on coastal waters and help contribute to ecosystem preservation. Environmental DNA (eDNA) metabarcoding analysis is an advanced toolfor detecting the presence of aquatic organisms, which has revolutionary significance for biodiversity monitoring and real-time detection of wild environments.MethodsIn this study, eDNA metabarcoding was used to study seasonal changes in eukaryotic plankton communities in subtropical coastal waters of the northern South China Sea, to explore how various trophic groups affect the complexity and stability of the species network.ResultsThe results showed that the summer interaction network is looser and had has reduce biodiversitycompared to the spring interaction network. As an important part of the planktonic community, the abundance and diversity of algae reflect the interactions between different species and the influence of environmental factors on the dominant species, particularly temperature and nutrients. In addition, producer diversity set the basis for species network complexity and indirectly affected network stability, while consumer diversity and its flexible predation strategies may directly lead to differences in network stability across seasons. There were close correlations among species interaction, environmental factors and species diversity.DiscussionThis study can help us understand the ecosystem functions throughout the year and the complex interactions of planktonic communities from a multiple trophic level perspective, and provide effective methods for sustainable resource utilization and ecological environmental protection in the future.

Objective: To investigate whether pre-treatment and middle-treatment plasma Epstein–Barr virus (EBV) DNA loads are useful predictors of prognosis and indicators of therapy modification in nasopharyngeal carcinoma (NPC) patients undergoing radical concurrent chemoradiotherapy (CCRT). Methods: Plasma EBV DNA load was measured by quantitative polymerase chain reaction before treatment (pre-DNA) and during the second cycle of DDP (mid-DNA). The primary endpoint was 5-year progression-free survival (PFS). Results: A total of 775 NPC patients treated with CCRT were included. In total, 553 patients with pre-DNA 200 mg/m 2 cumulative cisplatin dose (CCD) but were associated with fewer all-grade late toxicities. However, in the high-risk group (pre-DNA ⩾4000 copies/mL or detectable mid-DNA), patients receiving >200 mg/m 2 CCD showed a higher 5-year PFS (73.1% versus 58.6%, p = 0.027) and locoregional relapse-free survival (88.5% versus 76.1%, p = 0.028) than those receiving ⩽200 mg/m 2 CCD. Conclusion: The combination of pre-DNA and mid-DNA could be particularly useful for guiding risk stratification and early treatment modification for NPC treated with CCRT. A total of 200 mg/m 2 cisplatin seemed to be the optimal dose for the low-risk patients, while >200 mg/m 2 cisplatin may be adequate to achieve satisfactory survival outcomes in the high-risk group.