This report presents the management of a critically ill 36-year-old woman diagnosed with Philadelphia chromosome-positive acute lymphoblastic leukemia (Ph +ALL) at 28 weeks of gestation. The patient rapidly deteriorated, developing disseminated intravascular coagulation (DIC) , diffuse alveolar hemorrhage (DAH) , septic shock, and multi-organ dysfunction, necessitating admission to the hematological intensive care unit. Given her critical condition and advanced pregnancy, a chemotherapy-free induction regimen comprising imatinib and dexamethasone was initiated, alongside comprehensive supportive measures, including mechanical ventilation, continuous renal replacement therapy (CRRT) , broad-spectrum antibiotics, and high-dose corticosteroids. During treatment, intrauterine fetal demise occurred, and a stillborn was delivered following obstetric intervention. With aggressive treatment, the patient's respiratory failure, DIC, and DAH gradually resolved, and she achieved complete remission. She subsequently received consolidation chemotherapy, CAR-T cell therapy, and allogeneic hematopoietic stem cell transplantation, achieving sustained complete molecular remission on long-term follow-up. This case demonstrates that for critically ill pregnant patients with Ph + ALL, a chemotherapy-free regimen of targeted therapy and corticosteroids, when combined with intensive supportive care, is a safe and effective approach that may offer a therapeutic option for similar cases.

Objective:To investigate the characteristics of the nasal cycle and the patterns of bilateral nasal airflow distribution in patients with obstructive sleep apnea (OSA).Methods:This cross-sectional study analyzed data from 29 healthy subjects (control group: 16 males, 13 females; age range 23-60 years, mean 31.03±8.67 years) and 41 patients with OSA (OSA group: 34 males, 7 females; age range 20-62 years, mean 39.73±11.27 years) who visited the Sleep Medicine Center of Beijing Tongren Hospital, Capital Medical University, between March 2022 and April 2025. Whole-night split-channel nasal airflow and polysomnography were performed to calculate nasal airflow laterality, nasal cycle duration, and the effects of severity, sleep stages, and body position on bilateral nasal airflow distribution during sleep were analyzed.Results:The nasal cycle duration in OSA patients was significantly shorter than in controls (179.5 min vs. 312.5 min, χ 2=14.01, P<0.001). Apnea-hypopnea index (AHI) and age were independent influencing factors. In the OSA group, the incidence of nasal cycle transitions within 10 minutes after wake [(observed)7/50 vs. 2/55(expected), χ 2=14.32, P<0.001], REM sleep [(observed)23/34 vs. 14/43(expected), χ 2=8.14, P=0.004], and position changes (21/36 vs. 11/46, χ 2=12.02, P<0.001) was higher, while, in the control group, it was only associated with REM sleep (15/15 vs. 8/22, χ 2=8.80, P=0.003). Nasal airflow lateralization in the OSA group showed a stronger correlation with body position. The nasal airflow lateralization in the supine position was significantly lower in OSA patients than in controls [REM stage: 0.626 (0.425, 0.743) vs. 0.781 (0.706, 0.857), Z=3.62, P<0.001; N3 stage: 0.526 (0.438, 0.600) vs. 0.716 (0.608, 0.853), Z=2.17, P=0.032; N1/2 stage: 0.702 (0.526, 0.787) vs. 0.747 (0.663, 0.820), Z=1.68, P=0.095]. Multiple linear regression revealed that AHI explained 31.3% of the variance in nasal airflow lateralization during supine REM sleep. Conclusions:The nasal airflow regulation during sleep in OSA patients differs from that in healthy individuals. Compared with healthy subjects, OSA patients exhibit shorter nasal cycle durations, reduced nasal airflow lateralization in the supine position, and a higher likelihood of nasal cycle transitions triggered by position changes or arousal. Healthy subjects demonstrate high and stable nasal airflow asymmetry during sleep, with minimal influence from sleep stages or body position.

Objective To analyze the composition and function of residual cells in pre-transplantation human thymic slices by single-cell transcriptomics sequencing(scRNA-seq),and established a quality assessment method for thymic slices based on the expression levels of molecular markers in the culture supernatant.Methods The discarded thymus from 18 patients with congenital heart disease undergoing surgical treatment in Department of Cardiothoracic Surgery of Children's Hospital Affiliated to Chongqing Medical University from May 2023 to January 2024 were collected and prepared into thymic slices.After the slices were cultured in vitro for 14 d,scRNA-seq was employed to identify the residual cell types,and gene ontology(GO)and Kyoto encyclopedia of genes and genomes(KEGG)enrichment analysis was performed to analyze the biological function of the residual cells.Then based on the literature concerning thymic slice culture,the molecular markers indicating thymocyte function were screened out.ELISA was applied to detect the changes in protein levels of molecular markers in the supernatant.Receiver operating characteristic(ROC)curve was plotted and assess the value of the molecular markers in the supernatant in evaluating the quality of thymic slices with area under the curve(AUC).Then,the qualified and unqualified thymic slices determined by our obtained molecular markers were transplanted subcutaneously into male nude mice(6～8 weeks old,weighing 14～17 g),respectively,and the male nude mice without transplantation of the thymic slices served as control group.Flow cytometry and histologic analysis were utilized to observe the immune reconstitution after transplantation.Results ① scRNA-seq identified 11 cell types in thymic slices,dominated with epithelial cells,fibroblasts,and T cells.GO and KEGG enrichment analysis showed that epithelial cells were involved in enrichment entries related to chemotaxis,epithelial cell development,cell matrix adhesion and tight junction;fibroblasts were involved in enrichment entries related to extracellular matrix,epithelial cell proliferation,negative regulation of cell migration,and regulation of actin cytoskeleton;T cells were mainly related to T cell differentiation,regulation of T cell activation,T cell apoptosis,and T cell receptor signaling.② Molecular markers,CCL19,CCL21,CXCL12,CXCL16,IL16 and SELL were identified to indicate thymocyte function.Compared with the levels of the first day,the protein secretions of CCL19,CCL21,CXCL12 and CXCL16 were significantly increased during in vitro culture(P<0.05),while the protein secretions of IL16 and L-selectin(protein form of SELL)were significantly decreased(P<0.05).The combined predictor Pre1 from subset of cytokines(IL16 and L-selectin)had the highest value in the quality assessment of thymic slices after 1 d of culture(AUC=0.883),and the combined predictor Pre2 from subset of cytokines(CCL19,CCL21,CXCL12 and CXCL16)had the highest value in the quality assessment after 14 d of culture(AUC=0.948).③ Transplantation in nude mice indicated that the qualified thymic slices could develop to thymus structure in vivo,and effectively increase the proportion of T cells in peripheral blood(P<0.01),while the unqualified thymic slices could not obtain the reconstitution of T cell development.Conclusion The main residual component cells in thymic slices are epithelial cells,fibroblasts and T cells.IL16 and L-selectin can be used as potential indicators to determine the quality of donor thymic samples.CCL19,CCL21,CXCL12 and CXCL16 can effectively evaluate the quality of thymic slices before transplantation.

Objective:To establish a fluorescent quantitative RT-PCR assay based on N_sgRNA of SARS-CoV-2 and preliminarily apply it on real samples.Methods:Recombinant plasmid, specific primers and probes of N_sgRNA were designed and synthesized based on Wuhan-Hu-1/2019_MN908947 and synthesis mechanism of subgenomic RNA (sgRNA). Using recombinant plasmid as amplification templates, the optimal reaction conditions and reaction system were screened according to the Ct value, fluorescence intensity, and shape of amplification curve and was evaluated for sensitivity, reproducibility, and specificity. Meanwhile, the possibility of practical application of the method was explored by testing 172 clinical samples and 256 municipal wastewater samples. Results:A qRT-PCR assay for N_sgRNA in SARS-CoV-2 was initially established. The detection limit of the assay was 20 copies/mL, and the variation coefficients of in-batch (0.002%~0.767%) and batch to batch repetition (0.016%~0.752%) were less than 1%. Only N_sgRNA recombinant plasmid was detected in the specificity assay. So the method is more highly sensitive, specific and reproducible. The RatiosgRNA/ gRNA of clinical samples HK.3, EG.5.1, JN.1 and their sub-lineages and their corresponding urban sewage samples in epidemic period were significantly different ( P<0.05). There is a strong correlation between the median of RatiosgRNA/ gRNA in clinical samples and sewage samples in the same period (correlation coefficient r=1.000, P=0.010). Conclusions:In this study, a qRT-PCR method for detecting N_sgRNA of SARS-CoV-2 was established and the method has the characteristics of higher sensitivity, stronger specificity and better repeatability, and it can be used to detect SARS-CoV-2 infectivity.

Objective:The SARS-CoV-2 has a high natural mutation rate, and dynamic monitoring of virus variants remains a key focus in current COVID-19 prevention and control efforts.Methods:In this study, a sensitive and rapid method for detecting SARS-CoV-2 omicron variant nucleic acid was established based on the BMD-PCR technology.Results:This method showed good specificity, and had no cross-reactivity with 11 common viruses transmitted via the respiratory and gastrointestinal tracts, and the limit of detection is 555 copies/ml. Compared with SARS-CoV-2 whole-genome sequencing result, among 50 samples with original Ct values ≤32 tested for the Omicron variant, 49 samples tested positive for the N679K mutation site using BMD-PCR Omicron variant detection, achieving a concordance rate of 98.00%. For 30 samples JN.1 lineage, 29 samples tested positive for the K356T mutation site using BMD-PCR JN.1 lineage detection, with a concordance rate of 96.67%. For 10 samples with original SARS-CoV-2 detection Ct values between 35 and 32, 7 samples tested positive for the N679K mutation site using BMD-PCR Omicron variant detection, Resultsing in a detection rate of 70.00%. For samples with SARS-CoV-2 nucleic acid detection Ct values>35, the detection rate for the N679K mutation site in the BMD-PCR Omicron variant was 20.00%.Conclusions:This method can serve as a high-throughput supplementary approach for the preliminary identification of SARS-CoV-2 variant genotypes.

Objective:To examine the near-complete genomic analysis of norovirus (NoV) subtype GⅡ.17 [P17] outbreaks in Beijing Chaoyang District from 2014 to 2024.Methods:Data and specimens related to outbreaks of the NoV aggregation in Beijing′s Chaoyang District from 2014 to 2024 were collected. The NoV was identified using real-time fluorescence reverse transcription polymerase chain reaction (RT-PCR). Specimens with positive nucleic acid were amplified by standard PCR, whole genome sequencing and evolutionary analysis. Amino acid site variations were compared.Results:In Chaoyang District, from 2014 to 2024, a total of 637 aggregated outbreaks caused by the NoV infection were reported, of which 584 were successfully typed. The epidemic caused by the GⅡ.17 [P17] subtype accounted for 8.79% (56/637), which was the dominant epidemic gene subtype in 2014-2015, sporadic in 2016-2019, reappeared in 2022, and significantly increased in 2024 (27.27%, 24/88). Outbreaks caused by the GⅡ.17 [P17] subtype occurred mainly from October to December, with the main sites of occurrence in primary schools and kindergartens. This study yielded 53 near-complete genome sequences of the GⅡ.17 [P17] subtype from 46 incidents in Chaoyang District. The GⅡ.17 [P17] subtype sequences of Chaoyang District from 2014 to 2024 were segmented into three subgroups on the evolutionary tree, with sequences from 2014 to 2019, 2022 to April 2024, and May to December 2024 clustered into the d, e, and b subgroups, respectively. In the VP1 region′s P2 area, particularly at the HBGA binding site, subgroups b and e exhibited mutations in 22 and two sites, while subgroups b and e showed mutations in four and one sites, predominantly in the RdRp region.Conclusion:The outbreak caused by the NoV GⅡ.17 [P17] subtype in Chaoyang District from 2014 to 2024 continues, with a significant increase in 2024, and it becomes the dominant gene subtype from October to December. The sequence formation of the NoV GⅡ.17 [P17] subtype in Chaoyang District from January to April 2022 and from May to December 2024 shows two different evolutions, with specific mutation sites, requiring continuous monitoring of the NoV GⅡ.17 [P17] subtype.

Objective:To systematically review the prediction models for extubation failure in critically ill patients undergoing mechanical ventilation, providing a reference for healthcare professionals in selecting appropriate models to identify high-risk populations.Methods:Literature on the construction of prediction models for extubation failure risk in critically ill patients undergoing mechanical ventilation was retrieved from China National Knowledge Infrastructure, Wanfang Database, VIP, SinoMed, PubMed, Web of Science, Embase, and Cochrane Library. The search was limited from database inception to February 2024. Two researchers independently screened the literature and extracted data, using bias risk assessment tools to evaluate the bias risk and applicability of the prediction models.Results:A total of nine studies were included, with the most common predictive factors being mechanical ventilation duration, Glasgow Coma Scale score, cough reflex strength, age, and 24-hour input/output volume. The area under the receiver operating characteristic curve for the models ranged from 0.689 to 0.926, indicating good predictive performance. However, the risk of bias was high, mainly due to small sample sizes, the selection of predictive factors based on univariate analysis, and lack of proper internal validation.Conclusions:Existing prediction models show good predictive performance, but they carry high bias risk. Future studies should improve research design, adhere to model development and reporting guidelines, and develop well-performing, user-friendly prediction models to more accurately identify high-risk populations for extubation failure.

Objective:To examine the near-complete genomic analysis of norovirus (NoV) subtype GⅡ.17 [P17] outbreaks in Beijing Chaoyang District from 2014 to 2024.Methods:Data and specimens related to outbreaks of the NoV aggregation in Beijing′s Chaoyang District from 2014 to 2024 were collected. The NoV was identified using real-time fluorescence reverse transcription polymerase chain reaction (RT-PCR). Specimens with positive nucleic acid were amplified by standard PCR, whole genome sequencing and evolutionary analysis. Amino acid site variations were compared.Results:In Chaoyang District, from 2014 to 2024, a total of 637 aggregated outbreaks caused by the NoV infection were reported, of which 584 were successfully typed. The epidemic caused by the GⅡ.17 [P17] subtype accounted for 8.79% (56/637), which was the dominant epidemic gene subtype in 2014-2015, sporadic in 2016-2019, reappeared in 2022, and significantly increased in 2024 (27.27%, 24/88). Outbreaks caused by the GⅡ.17 [P17] subtype occurred mainly from October to December, with the main sites of occurrence in primary schools and kindergartens. This study yielded 53 near-complete genome sequences of the GⅡ.17 [P17] subtype from 46 incidents in Chaoyang District. The GⅡ.17 [P17] subtype sequences of Chaoyang District from 2014 to 2024 were segmented into three subgroups on the evolutionary tree, with sequences from 2014 to 2019, 2022 to April 2024, and May to December 2024 clustered into the d, e, and b subgroups, respectively. In the VP1 region′s P2 area, particularly at the HBGA binding site, subgroups b and e exhibited mutations in 22 and two sites, while subgroups b and e showed mutations in four and one sites, predominantly in the RdRp region.Conclusion:The outbreak caused by the NoV GⅡ.17 [P17] subtype in Chaoyang District from 2014 to 2024 continues, with a significant increase in 2024, and it becomes the dominant gene subtype from October to December. The sequence formation of the NoV GⅡ.17 [P17] subtype in Chaoyang District from January to April 2022 and from May to December 2024 shows two different evolutions, with specific mutation sites, requiring continuous monitoring of the NoV GⅡ.17 [P17] subtype.

Objective:To systematically review the prediction models for extubation failure in critically ill patients undergoing mechanical ventilation, providing a reference for healthcare professionals in selecting appropriate models to identify high-risk populations.Methods:Literature on the construction of prediction models for extubation failure risk in critically ill patients undergoing mechanical ventilation was retrieved from China National Knowledge Infrastructure, Wanfang Database, VIP, SinoMed, PubMed, Web of Science, Embase, and Cochrane Library. The search was limited from database inception to February 2024. Two researchers independently screened the literature and extracted data, using bias risk assessment tools to evaluate the bias risk and applicability of the prediction models.Results:A total of nine studies were included, with the most common predictive factors being mechanical ventilation duration, Glasgow Coma Scale score, cough reflex strength, age, and 24-hour input/output volume. The area under the receiver operating characteristic curve for the models ranged from 0.689 to 0.926, indicating good predictive performance. However, the risk of bias was high, mainly due to small sample sizes, the selection of predictive factors based on univariate analysis, and lack of proper internal validation.Conclusions:Existing prediction models show good predictive performance, but they carry high bias risk. Future studies should improve research design, adhere to model development and reporting guidelines, and develop well-performing, user-friendly prediction models to more accurately identify high-risk populations for extubation failure.

This report presents the management of a critically ill 36-year-old woman diagnosed with Philadelphia chromosome-positive acute lymphoblastic leukemia (Ph +ALL) at 28 weeks of gestation. The patient rapidly deteriorated, developing disseminated intravascular coagulation (DIC) , diffuse alveolar hemorrhage (DAH) , septic shock, and multi-organ dysfunction, necessitating admission to the hematological intensive care unit. Given her critical condition and advanced pregnancy, a chemotherapy-free induction regimen comprising imatinib and dexamethasone was initiated, alongside comprehensive supportive measures, including mechanical ventilation, continuous renal replacement therapy (CRRT) , broad-spectrum antibiotics, and high-dose corticosteroids. During treatment, intrauterine fetal demise occurred, and a stillborn was delivered following obstetric intervention. With aggressive treatment, the patient's respiratory failure, DIC, and DAH gradually resolved, and she achieved complete remission. She subsequently received consolidation chemotherapy, CAR-T cell therapy, and allogeneic hematopoietic stem cell transplantation, achieving sustained complete molecular remission on long-term follow-up. This case demonstrates that for critically ill pregnant patients with Ph + ALL, a chemotherapy-free regimen of targeted therapy and corticosteroids, when combined with intensive supportive care, is a safe and effective approach that may offer a therapeutic option for similar cases.