A total of 60 infants with severe persistent pulmonary hypertension (PPHN) at our NICU from January 2006 to December 2012 were divided into research group[(n =32,high-frequency oscillatory ventilation(HFOV) plus sildenafil)]and control group (n =28,HFOV only).Mean pulmonary arterial pulmonary arterial (MPAP),blood gas analysis,oxygenation index (OI),PO2 to fraction of inspired oxygen ratio (PO2/FiO2) before and after treatment were compared between two groups.After 3-day treatment,MPAP (mm Hg)(32 ±6) vs.(43 ±9)mm Hg,PCO2(mm Hg)(36 ±9) vs.(43 ±9),OI(56 ±22) vs.(85 ±21) in research group were significantly lower than those in control group(P ＜ 0.05) ; in comparison with control group,PO2(mm Hg) (89 ±15) vs.(72 ±22),PO2/FiO2(mm Hg) (223 ± 18) vs.(196 ±24) in research group were significantly higher(P ＜ 0.05).The time of ventilation use (d) (5.4 ± 1.3) vs.(6.3 ± 1.6) in research group was shorter than that of control group(P ＜0.05) while research group showed a higher clinical efficiency rate(％) (81.2 vs.50.0) (P ＜0.05).A combination of HFOV and sildenafil for severe PPHN can significantly reduce MPAP,shorten the duration of ventilation use and improve cure rate.

Objective To study the clinical effects of pulmonary recruitment maneuvers combined with pressure regulation volume control (PRVC) in the treatment of severe respiratory distress syndrome (RDS) in premature infants.Method From July 2015 to September 2016,preterm infants of grade Ⅲ-Ⅳ RDS who received PRVC treatment in neonatal department of Huai'an Maternal and Child Health Hospital were assigned into recruitment maneuver group and control group (without recruitment maneuver) using randon number table.The ventilator parameters were observed at 1,2,6,12,18 h and 24 h after ventilation.Recovery rate,duration of oxygen therapy and ventilation,duration of hospital stay,incidence of second dose of pulmonary surfactant and complications were compared between two groups.Result A total of 18 cases were included in recruitment maneuver group and 19 cases in control group.The recovery rate of recruitment maneuver group was higher than control group (16/18 vs.10/19).The duration of oxygen therapy [(6.6 ± 2.3) d vs.(11.8 ± 3.0) d],duration of ventilation [(4.1 ± 2.3) d vs.(6.4 ± 2.8) d],duration of hospital stay [(26.7 ± 7.0) d vs.(33.0 ± 8.4) d] in recruitment maneuver group were significantly shorter than control group (P ＜ 0.05).The proportion of bronchopulmonary dysplasia (1/18 vs.8/19),retinopathy of premature (1/18 vs.7/19),patent ductus arteriosus that require medication closure (1/18 vs.7/19)and incidence of second dose of pulmonary surfactant (2/18 vs.9/19) in recruitment maneuver group were significantly lower than control group (P ＜ 0.05).While the complication of air leak,necrotizing enteritis,Ⅲ-V grade intracranial hemorrhage showed no significant differences between the two groups (P ＞ 0.05).Conclusion Recruitment maneuvers combined with PRVC in treatment of severe RDS premature infants can improve recovery rate and oxygenation.It can also shorten the duration of oxygen therapy,ventilation and hospital stay.It can reduce the incidence of bronchopulmonary dysplasia and retinopathy of premature.It is worth spreading in clinical practice.reduce the incidence of bronchopuhmonary dysplasia and retinopathy.It is worthy of promotion.

This article summarized the overview of diagnosis related groups (DRGs), the necessity of comprehensively popularizing and applying DRGs in specialized hospitals and general hospitals, the different methods and effects of nursing human resource allocation based on DRGs in specialized hospitals and general hospitals at home and abroad, and analyzed the different challenges and opportunities faced by DRGs in the implementation of human resource allocation in two types of hospitals. According to the types and characteristics of hospitals, this paper put forward some corresponding suggestions and prospects for the future, such as intelligent human resource prediction system and the construction of information sharing platform, so as to provide reference for the comprehensive promotion of DRGs in different types of hospitals in China.

Objective:To explore the characteristics of self-referential network (SRN) functional connectivity in subjective cognitive decline (SCD) patients with normal and impaired metacognition.Methods:Seventy-one subjects were selected from Alzheimer's Disease Neuroimaging Initiative (ADNI) database, with 25 cognitively normal controls and 46 SCD patients. The metacognitive level of SCD patients was assessed by Everyday Cognition Scale (ECog), and then, they were divided into a metacognitively normal group ( n=25, metacognitive scores>-0.074) and a metacognitively impaired group ( n=21, metacognitive scores≤-0.074). Results of Geriatric Depression Scale (GDS), Montreal Cognitive Scale (MoCA), Mini‐Mental State Examination (MMSE), Rey Auditory Word Learning Test (RAVLT), Logical Memory Scale, expressions of pathological markers (cerebrospinal fluid β-amyloid protein [Aβ], total tau protein [t-tau] and phosphorylated tau protein [p-tau]), brain glucose metabolism, and functional magnetic resonance imaging (fMRI) were collected and compared among the 3 groups. Independent component analysis (ICA) was used to extract SRN and analyze the different brain regions among the 3 groups; Pearson correlation was used to analyze the correlations of SRN functional connectivity changes with cognitive scales and pathological markers. Results:No significant differences in demographic characteristics (age and gender), scores of GDS, MoCA and MMSE, or levels of Aβ, t-tau, p-tau and brain glucose metabolism were noted among the 3 groups ( P>0.05). The metacognitive scores in metacognitively impaired group were significantly lower than those in metacognitively normal group and cognitively normal controls ( P<0.05). Significant difference in the functional connectivity of bilateral anterior cingulate gyrus and bilateral orbitofrontal cortex was noted among the 3 groups (TFCE-FWE correction, P<0.01, voxel>100); compared with the cognitively normal controls, the metacognitively impaired group showed significantly decreased functional connectivity of bilateral orbitofrontal cortex, while the metacognitively normal group showed enhanced functional connectivity of bilateral orbitofrontal cortex (TFCE-FWE correction, P<0.01, voxel>100); compared with the metacognitively normal group, the metacognitively impaired group had statistically decreased functional connectivity of bilateral orbitofrontal cortex (TFCE-FWE correction, P<0.01, voxel>100). Further correlation analysis showed that difference value of functional connectivity of bilateral orbitofrontal cortex between metacognitively impaired group and cognitively normal controls was negatively correlated with RAVLT-immediate scores ( r=-0.445, P=0.043); difference value of functional connectivity of bilateral orbitofrontal cortex between metacognitively impaired group and metacognitively normal group was negatively correlated with RAVLT-immediate scores ( r=-0.463, P=0.034). Conclusion:SCD patients with different metacognitive levels have characteristic SRN functional connectivity changes; impaired metacognition may be an early feature of Alzheimer's disease.

Objective:To investigate the method of simulating low-dose CT (LDCT) images using routine dose level scanning mode to generate LDCT images with correspondence to the routine dose CT (RDCT) images in the training sets for deep learning model, which would be used for LDCT noise reduction.Methods:The CT images reconstructed by different algorithms in Philips CT Big Core had different noise levels, where the noise was larger with iDose 4 algorithm and lower with IMR(knowledge-based iterative model reconstruction)algorithm. A new method of replacing LDCT image with noise equivalent reconstructed image was proposed. The uniform module of CTP712 was scanned with the exposure of 250 mAs for RDCT, 35 mAs for LDCT. The images were reconstructed using IMR algorithm for LDCT images and iDose 4 algorithm at multiple noise reduction levels for RDCT images, respectively. The noise distribution of each image set was analyzed to find the noise equivalent images of LDCT. Then, RDCT images, those selected images were used for training cycle-consistent adversarial networks (CycleGAN)model, and the noise reduction ability of the proposed method on real LDCT images of phantom was tested. Results:The RDCT images generated with iDose 4 level 1 could substitute the LDCT images reconstructed with IMR algorithm. The radiation dose was reduced by 86% in low dose scanning. Using CycleGAN model, the noise reduction degree was 45% for uniform module, and 50%, 13%, 7% for CIRS-SBRT 038 phantom in the specific regions of brain, spinal cord, bone, respectively. Conclusions:Equivalent noise level reconstructed images could potentially serve as the alternative of LDCT images for deep learning network training to avoid additional radiation dose. The generated CT images had substantially reduced noise relative to that of LDCT.

Objective:To compare the consistency of tomographic infrared spectrum analysis with conventional infrared spectrum analysis for the composition analysis of large-volume of urinary stones in vitro.Methods:Postoperative urinary stone specimens collected from 105 patients admitted to Beijing Tsinghua Changgung Hospital from January 2019 to June 2021 were analyzed, including 81 (77.14%) kidney stones, 16 (15.24%) ureteral stones, and 8 (7.62%) bladder stones. All stones measured ≥0.8 cm in maximum diameter on preoperative imaging. Eighty-four specimens, which were mainly stone fragments, were collected from percutaneous nephrolithotomy and ureteroscopic lithotripsy. These 84 specimens were analyzed and retested for stone composition using conventional infrared spectrum analysis by random multiple sampling. Other 21 renal stone specimens were obtained by laparoscopic lithotomy or standard percutaneous nephrolithotomy after November 1, 2020. These 21 specimens had a maximum diameter of ≥0.8 cm measured postoperatively. Based on intraoperative observation, stone specimens with typical layered structures were chosed. Then, all 21 samples were analyzed and retested by conventional infrared spectrum analysis and tomographic infrared spectrum analysis, respectively. When using tomographic infrared spectrum analysis, we need to take two maximum cross sections with a vertical spacing of these sections >2 mm, then perform multiple points sampling according to the morphological stratification of the first section. If the section's structure was homogeneous, we equidistantly took 2 to 3 samples from the center to the periphery. Otherwise, every layer needed to take a stone sample according to the stratification. Putting all the results of one section together, we obtained complete tomographic infrared spectrum analysis data. Take another coaxial cross-section of the same specimen for retesting. We recorded the characteristics of the three-dimensional distribution of stone composition in 21 stone specimens. Meanwhile, we compared the consistency of the results of conventional infrared spectrum analysis and tomographic infrared spectrum analysis for the same sample.Results:The consistency rate of the conventional infrared spectrum analysis was 56.19% (59/105), and that of tomographic infrared spectrum analysis was 80.95% (17/21). The difference in consistency between two methods was statistically significant ( χ2=4.447, P=0.035). Among 21 specimens, the consistency rate of conventional infrared spectrum analysis was 38.10% (8/21), which was significantly lower than that of tomographic infrared spectrum analysis ( χ2=7.814, P=0.005). Regarding the characteristics of the three-dimensional distribution of the components, the color and crystal morphology of five common types of stone components were different, and layered structure in the cross-section of the stones were observed. When the calculi were of the same composition, they were displayed in different morphology. We observed a trending change in the composition ratio between sublayers from the center to the edge in some compound-composition stones. Conclusions:For the composition analysis of larger-volume urinary stones, tomographic infrared spectrum analysis showed a higher consistency of retesting than conventional infrared spectrum analysis, and the three-dimensional distribution of stone composition had some characteristic features.

BACKGROUND: In China, lung cancer remains the cancer with the highest incidence and mortality rate. Among early-stage lung adenocarcinomas (LUAD), the micropapillary (MPP) component is prevalent and typically exhibits high aggressiveness, significantly correlating with early metastasis, lymphatic infiltration, and reduced five-year survival rates. Therefore, the study is to explore the similarities and differences between MPP and non-micropapillary (non-MPP) components in malignant pulmonary nodules characterized by GGOs in early-stage LUAD, identify unique mutational features of the MPP component and analyze the relationship between the ZNF469 gene, a member of the zinc-finger protein family, and the prognosis of early-stage LUAD, as well as its correlation with immune infiltration. METHODS: A total of 31 malignant pulmonary nodules of LUAD were collected and dissected into paired MPP and non-MPP components using microdissection. Whole-exome sequencing (WES) was performed on the components of early-stage malignant pulmonary nodules. Mutational signatures analysis was conducted using R packages such as maftools, Nonnegative Matrix Factorization (NMF), and Sigminer to unveil the genomic mutational characteristics unique to MPP components in invasive LUAD compared to other tumor tissues. Furthermore, we explored the expression of the ZNF469 gene in LUAD using The Cancer Genome Atlas (TCGA) database to investigate its potential association with the prognosis. We also investigated gene interaction networks and signaling pathways related to ZNF469 in LUAD using the GeneMANIA database and conducted Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis. Lastly, we analyzed the correlation between ZNF469 gene expression and levels of immune cell infiltration in LUAD using the TIMER and TISIDB databases. RESULTS: MPP components exhibited a higher number of genomic variations, particularly the 13th COSMIC (Catalogue of Somatic Mutations in Cancer) mutational signature characterized by the activity of the cytidine deaminase APOBEC family, which was unique to MPP components compared to non-MPP components in tumor tissues. This suggests the potential involvement of APOBEC in the progression of MPP components in early-stage LUAD. Additionally, MPP samples with high similarity to APOBEC signature displayed a higher tumor mutational burden (TMB), indicating that these patients may be more likely to benefit from immunotherapy. The expression of ZNF469 was significantly upregulated in LUAD compared to normal tissue, and was associated with poor prognosis in LUAD patients (P<0.05). Gene interaction network analysis and GO/KEGG enrichment analysis revealed that COL6A1, COL1A1, COL1A2, TGFB2, MMP2, COL8A2 and C2CD4C interacted with ZNF469 and were mainly involved in encoding collagen proteins and participating in the constitution of extracellular matrix. ZNF469 expression was positively correlated with immune cell infiltration in LUAD (P<0.05). CONCLUSIONS The study has unveiled distinctive mutational signatures in the MPP components of early-stage invasive LUAD in the Asian population. Furthermore, we have identified that the elevated expression of mutated ZNF469 impacts the prognosis and immune infiltration in LUAD, suggesting its potential as a diagnostic and prognostic biomarker in LUAD.
Humans ; Lung Neoplasms/genetics* ; Adenocarcinoma of Lung/genetics* ; China ; Prognosis ; Transcription Factors