Covid-19 omicron variant infection in neonates of Guangdong province-a report of 52 cases.

Objective: To analyze the clinical characteristics of neonatal infection during the outbreak of COVID-19 omicron variant in Guangdong province of China. Method: The clinical data of neonates infected with COVID-19 omicron variant were collected from three hospitals of Guangdong province, their epidemiological history, clinical manifestation and prognosis were summarized. Results: From December 12, 2022 to January 15, 2023, a total of 52 neonates with COVID-19 infection were identified across three hospitals in Guangdong Province, including 34 males and 18 females. The age of diagnosis was 18.42 ± 6.32 days. 24 cases had clear contact history with adults who were suspected to be infected with COVID-19. The most common clinical manifestation was fever (43/52, 82.7%), the duration of fever was 1-8 days. The other clinical manifestations were cough (27/52, 51.9%), rales (21/52, 40.4%), nasal congestion (10/52, 19.2%), shortness of breath (2/52, 3.8%), and vomiting (4/52, 7.7%). C-reactive protein was only increased in 3 cases. Chest radiological examination was performed in 42 neonates, twenty-three cases showed abnormal chest radiographic findings, including ground-glass opacity and consolidation. Fifty cases were admitted with COVID-19 presentation, two cases were admitted for jaundice. The hospital stay was 6.59 ± 2.77 days. The clinical classification included 3 cases of severe COVID-19 and one critical case. Fifty-one cases were cured and discharged after general treatment, and one critical case with respiratory failure was intubated and transferred to another hospital. Conclusion: The COVID-19 omicron variant infection in neonates is usually mild. The clinical manifestation and laboratory results are not specific, and the short-term prognosis is good.

Improving detection of impacted animal bones on lateral neck radiograph using a deep learning artificial intelligence algorithm.

OBJECTIVE: We aimed to develop a deep learning artificial intelligence (AI) algorithm to detect impacted animal bones on lateral neck radiographs and to assess its effectiveness for improving the interpretation of lateral neck radiographs. METHODS: Lateral neck radiographs were retrospectively collected for patients with animal bone impaction between January 2010 and March 2020. Radiographs were then separated into training, validation, and testing sets. A total of 1733 lateral neck radiographs were used to develop the deep learning algorithm. The testing set was assessed for the stand-alone deep learning AI algorithm and for human readers (radiologists, radiology residents, emergency physicians, ENT physicians) with and without the aid of the AI algorithm. Another radiograph cohort, collected from April 1, 2020, to June 30, 2020, was analyzed to simulate clinical application by comparing the deep learning AI algorithm with radiologists' reports. RESULTS: In the testing set, the sensitivity, specificity, and accuracy of the AI model were 96%, 90%, and 93% respectively. Among the human readers, all physicians of different subspecialties achieved a higher accuracy with AI-assisted reading than without. In the simulation set, among the 20 cases positive for animal bones, the AI model accurately identified 3 more cases than the radiologists' reports. CONCLUSION: Our deep learning AI model demonstrated a higher sensitivity for detection of animal bone impaction on lateral neck radiographs without an increased false positive rate. The application of this model in a clinical setting may effectively reduce time to diagnosis, accelerate workflow, and decrease the use of CT.

Investigation and Strategic Analysis of Family Barriers to Organ Donation in China.

BACKGROUND: Families play a prominent role in the eventual organ donation decision. Because the deceased cannot directly express their wishes, their families become the actual decision makers. In China, families are permitted to make decisions regarding organ donation that may not be in accordance with the wishes of the deceased family member, and objections by families are a main bottleneck in the donation process. METHODS: Face-to-face questioning was conducted with organ procurement organization coordinators. At the same time, questionnaires were distributed in 11 cities in Zhejiang Province. RESULTS: Of the respondents, 69.9% considered family consent necessary and 77.1% thought that the view of their family had a great, even decisive, influence on them to decide to become donors. If the deceased family member had registered as an organ donor, 65.2% of families decided that they would respect the wishes of the deceased person. Adult children (58.6%) were more likely to donate than parents (37.4%; χ2 = 123.009, P < .001). Those born after 2000 and after 1990 (62.5% and 52.8%, respectively) were much more likely to donate than those born after 1960 (18.1%; χ2 = 191.485, P < .001). The interviews indicated that there were high rates of donation refusals within potential donation families. Most donor families chose to make hidden donations, and the majority of donor families had a simple family structure. CONCLUSIONS: To promote organ donation, China needs to reconsider the role of families in the decision-making process. It is essential to increase organ donation awareness within the younger generation and encourage them to discuss with their families their willingness to donate.

Stain efficiency and MALDI-TOF MS compatibility of seven visible staining procedures.

Visible stain is still the most popular protein staining method used in proteomic approaches. However, most published data have been derived from comparisons between visible dyes and fluorescent dyes. In this work, we have focused on seven widely used visible staining procedures--Neuhoff CCB, blue silver, and five silver stains (LKB SN, He SN, Yan SN, Vorum SN, and Blum SN)--and studied their stain efficiencies and MALDI-TOF MS compatibilities on 1-D and 2-D PAGE. It was concluded that blue silver is slightly better in terms of stain efficiency than Neuhoff CCB, but it presented worse MS compatibility. Neuhoff CCB presented better MS compatibility and superior linearity but worse sensitivity than silver stains. Among the five silvering procedures, He SN showed the best MS compatibility and a reasonable staining efficiency; Yan SN lowered the chances of obtaining the protein identity by PMF but gave the best stain efficiency; Vorum SN gave a very clear background and a great contrast, while Blum SN was the worst in this respect. The implications of these results for the selection of a convenient stain are discussed according to specific objectives as well as practical aspects.

Identification of candidate prostate cancer biomarkers in prostate needle biopsy specimens using proteomic analysis.

Although serum prostate specific antigen (PSA) is a well-established diagnostic tool for prostate cancer (PCa) detection, the definitive diagnosis of PCa is based on the information contained in prostate needle biopsy (PNBX) specimens. To define the proteomic features of PNBX specimens to identify candidate biomarkers for PCa, PNBX specimens from patients with PCa or benign prostatic hyperplasia (BPH) were subjected to comparative proteomic analysis. 2-DE revealed that 52 protein spots exhibited statistically significantly changes among PCa and BPH groups. Interesting spots were identified by MALDI-TOF-MS/MS. The 2 most notable groups of proteins identified included latent androgen receptor coregulators [FLNA(7-15) and FKBP4] and enzymes involved in mitochondrial fatty acid beta-oxidation (DCI and ECHS1). An imbalance in the expression of peroxiredoxin subtypes was noted in PCa specimens. Furthermore, different post-translationally modified isoforms of HSP27 and HSP70.1 were identified. Importantly, changes in FLNA(7-15), FKBP4, and PRDX4 expression were confirmed by immunoblot analyses. Our results suggest that a proteomics-based approach is useful for developing a more complete picture of the protein profile of PNBX specimen. The proteins identified by this approach may be useful molecular targets for PCa diagnostics and therapeutics.