OBJECTIVE T o explore the value of targeted next-generation sequencing(t-NGS)in diagnosis of respir-atory tract pathogens through meta-analysis so as to provide reference for clinical application.METHODS PubMed database,Web of Science database,Wanfang database,CNKI database and Sinomed database were retrieved,and the time period of retrieval ranged from Jan.2010 to May 2024.The literatures were screened out based on the es-tablished standards.The quality was assessed by QU ADAS-2,the risk of bias graph was drawn by Revman 5.4,and the statistical analysis was performed by Stata 16.0.RESULTS A total of 9 literatures were included in the study.The result of meta-analysis showed that the heterogeneity test Q for sensitivity was 268.21,P＜0.01,I2=97.02％,with the heterogeneity test Q for specificity 210.04,P＜0.01,I2=96.19％,the combined sensitivity 0.88(95％CI:0.62 to 0.97),combined specificity 0.68(95％CI:0.41 to 0.86),combined positive likelihood ratio 2.72(95％CI:1.44 to 5.15),combined negative likelihood ratio 0.18(95％CI:0.06 to 0.53),combined diagno-sis score 2.74(95％CI:1.68 to 3.80),and combined diagnostic odds ratio 15.44(95％CI:5.34 to 44.66).The area under synthesize receiver operating characteristic(SROC)curve(AUC)was 0.85(95％CI:0.82 to 0.88).The result of Deeks funnel plot showed that P was 0.99,indicating that there was no obvious publication bias.CONCLUSIONS The sensitivity of tNGS is high in detection of the pathogens causing acute respiratory tract infection,the specificity needs to be improved,but its comprehensive ability is satisfactory.It has certain val-ue in early clinical diagnosis.

Objective:To evaluate the effect of the radiation dose of thoracic cage bone structure on clinical prognosis in patients with locally advanced non‐small cell lung cancer (LA‐NSCLC) receiving chemoradiotherapy, and to develop and verify a combined model combining the radiation dose of bone structure, the estimated radiation dose of immune cells (EDRIC) and other related factors to predict the prognosis of LA‐NSCLC.Methods:Clinical data of 197 patients with LA‐NSCLC who underwent chemoradiotherapy were retrospectively analyzed. All patients were randomly divided into the training set and testing set at a ratio of 7:3 using computer random partitioning. The EDRIC value was calculated using the model developed by Jin et al. and modified by Ladbury et al. The scope of the thoracic cage structure includes the ribs, sternal manubrium, sternal body, thoracic vertebral body, thoracic vertebral appendages, and thoracic vertebrae. The tumor volume, ERDIC, and average bone structure dose (D mean) were categorized into two groups using the P25, P50, P75 value from the quartile method. Univariate and multivariate Cox proportional hazards regression were used to analyze the influencing factors of overall survival (OS), local progression‐free survival (LPFS), and distant metastasis‐free survival (DMFS) for predicting the outcome, and significant correlated variables were retained to construct a combined prediction model with EDRIC. The receiver operating characteristic (ROC) curve, decision curve analysis (DCA), and calibration curves were plotted for subjects at the 2‐year time point of the combined model to evaluate the predictive performance. The model was visualized through a nomograph. Results:In the thoracic cage bone structure, D mean > 47.3 Gy of the sternal manubrium was an independent risk factor of OS, LPFS, and DMFS of LA-NSCLC patients. D mean > 23.1 Gy of thoracic vertebral body was an independent risk factor of OS, and D mean > 14.4 Gy of thoracic vertebral body was an independent risk factor of DMFS. Among other variables, gross tumor volume (GTV) >50.2 cm 3 was a risk factor for OS, and GTV >87.0 cm 3 was a risk factor for LPFS. Planning target volume >571.9 cm 3 was a risk factor for DMFS. A combined prediction model for OS, LPFS, and DMFS was established with EDRIC using features significantly associated with these three predicted outcomes. The area under the ROC curve (AUC) of OS combined model in the training set and test set were 0.708 and 0.696, respectively, and the AUC of DMFS combined model were 0.675 and 0.639, respectively. The calibration curve and DCA curve of the two prediction endpoints showed that the combined model had good prediction accuracy and clinical benefit. However, the LPFS model was not good in accuracy and clinical applicability. Conclusions:The radiation dose of sternal manubrium and thoracic vertebral body in the thoracic cage bone structure is an independent influencing factor for the prognosis of LA‐NSCLC patients after chemoradiotherapy. The combined model has good predictive performance for OS and DMFS.

OBJECTIVE T o explore the value of targeted next-generation sequencing(t-NGS)in diagnosis of respir-atory tract pathogens through meta-analysis so as to provide reference for clinical application.METHODS PubMed database,Web of Science database,Wanfang database,CNKI database and Sinomed database were retrieved,and the time period of retrieval ranged from Jan.2010 to May 2024.The literatures were screened out based on the es-tablished standards.The quality was assessed by QU ADAS-2,the risk of bias graph was drawn by Revman 5.4,and the statistical analysis was performed by Stata 16.0.RESULTS A total of 9 literatures were included in the study.The result of meta-analysis showed that the heterogeneity test Q for sensitivity was 268.21,P＜0.01,I2=97.02％,with the heterogeneity test Q for specificity 210.04,P＜0.01,I2=96.19％,the combined sensitivity 0.88(95％CI:0.62 to 0.97),combined specificity 0.68(95％CI:0.41 to 0.86),combined positive likelihood ratio 2.72(95％CI:1.44 to 5.15),combined negative likelihood ratio 0.18(95％CI:0.06 to 0.53),combined diagno-sis score 2.74(95％CI:1.68 to 3.80),and combined diagnostic odds ratio 15.44(95％CI:5.34 to 44.66).The area under synthesize receiver operating characteristic(SROC)curve(AUC)was 0.85(95％CI:0.82 to 0.88).The result of Deeks funnel plot showed that P was 0.99,indicating that there was no obvious publication bias.CONCLUSIONS The sensitivity of tNGS is high in detection of the pathogens causing acute respiratory tract infection,the specificity needs to be improved,but its comprehensive ability is satisfactory.It has certain val-ue in early clinical diagnosis.

Objective:To evaluate the effect of the radiation dose of thoracic cage bone structure on clinical prognosis in patients with locally advanced non‐small cell lung cancer (LA‐NSCLC) receiving chemoradiotherapy, and to develop and verify a combined model combining the radiation dose of bone structure, the estimated radiation dose of immune cells (EDRIC) and other related factors to predict the prognosis of LA‐NSCLC.Methods:Clinical data of 197 patients with LA‐NSCLC who underwent chemoradiotherapy were retrospectively analyzed. All patients were randomly divided into the training set and testing set at a ratio of 7:3 using computer random partitioning. The EDRIC value was calculated using the model developed by Jin et al. and modified by Ladbury et al. The scope of the thoracic cage structure includes the ribs, sternal manubrium, sternal body, thoracic vertebral body, thoracic vertebral appendages, and thoracic vertebrae. The tumor volume, ERDIC, and average bone structure dose (D mean) were categorized into two groups using the P25, P50, P75 value from the quartile method. Univariate and multivariate Cox proportional hazards regression were used to analyze the influencing factors of overall survival (OS), local progression‐free survival (LPFS), and distant metastasis‐free survival (DMFS) for predicting the outcome, and significant correlated variables were retained to construct a combined prediction model with EDRIC. The receiver operating characteristic (ROC) curve, decision curve analysis (DCA), and calibration curves were plotted for subjects at the 2‐year time point of the combined model to evaluate the predictive performance. The model was visualized through a nomograph. Results:In the thoracic cage bone structure, D mean > 47.3 Gy of the sternal manubrium was an independent risk factor of OS, LPFS, and DMFS of LA-NSCLC patients. D mean > 23.1 Gy of thoracic vertebral body was an independent risk factor of OS, and D mean > 14.4 Gy of thoracic vertebral body was an independent risk factor of DMFS. Among other variables, gross tumor volume (GTV) >50.2 cm 3 was a risk factor for OS, and GTV >87.0 cm 3 was a risk factor for LPFS. Planning target volume >571.9 cm 3 was a risk factor for DMFS. A combined prediction model for OS, LPFS, and DMFS was established with EDRIC using features significantly associated with these three predicted outcomes. The area under the ROC curve (AUC) of OS combined model in the training set and test set were 0.708 and 0.696, respectively, and the AUC of DMFS combined model were 0.675 and 0.639, respectively. The calibration curve and DCA curve of the two prediction endpoints showed that the combined model had good prediction accuracy and clinical benefit. However, the LPFS model was not good in accuracy and clinical applicability. Conclusions:The radiation dose of sternal manubrium and thoracic vertebral body in the thoracic cage bone structure is an independent influencing factor for the prognosis of LA‐NSCLC patients after chemoradiotherapy. The combined model has good predictive performance for OS and DMFS.

Objective:To evaluate the effect of long non-coding RNA (lncRNA) nuclear enriched abundant transcript 1 (NEAT1) on the radiosensitivity in breast cancer cells by regulating the miR-149-5p/ glutamic pyruvic transaminase 2 (GPT2) axis.Methods:Real-time reverse transcription PCR (RT-qPCR) was used to detect NEAT1, miR-149-5p and glutamic pyruvic transaminase 2 (GPT2) mRNA levels in human breast cells MCF-10A, and human breast cancer cells MCF-7, MDA-MB-231 and MDA-MB-468, respectively. MCF-7 cells were divided into 0, 2, 4, 6 and 8 Gy irradiation groups. MCF-7 cells were divided into NEAT1 knockdown (si-NEAT1) group and control (si-NC) group, NEAT1 knockdown +miR-149-5p knockdown (si-NEAT1+anti-miR-149-5p) group and control (si-NEAT1+anti-miR-NC) group, NEAT1 knockdown + GPT2 overexpression (si-NEAT1+GPT2) group and control (si-NEAT1+NC) group. On the basis of the above grouping, irradiate each group of cells with 4 Gy radiation for 2 h, denoted as IR+si-NEAT1, IR+si-NC, IR+si-NEAT1+anti-miR-149-5p, IR+si-NEAT1+anti-miR-NC, IR+si-NEAT1+GPT2, IR+si-NEAT1+NC groups. Subsequently, MCF-7 cells were irradiated at a dose of 4 Gy and divided into the IR+si-NEAT1, IR+si-NC, IR+si-NEAT1+anti-miR-149-5p, IR+si-NEAT1+anti-miR-NC, IR+si-NEAT1+GPT2 and IR+si-NEAT1+NC groups. RT-qPCR was used to detect NEAT1, miR-149-5p, GPT2 mRNA levels in cells. Colony formation assay was used to detect cell radiosensitivity. CCK-8 assay was adopted to detect cell proliferation ability. The binding sites of NEAT1 and miR-149-5p were predicted by StarBase database. The binding sites of miR-149-5p and GPT2 were predicted by Targetscan database, and validated by dual luciferase assay. Single factor ANOVA was used for inter-group comparisons. LSD- t test was used for pairwise comparison. Results:Compared with MCF-10A cells, NEAT1 and GPT2 mRNA levels in cell lines were up-regulated, whereas miR-149-5p level was down-regulated (all P<0.05). Compared with the 0 Gy dose group, NEAT1 and GPT2 mRNA levels were down-regulated, while miR-149-5p levels were up-regulated in the 2, 4, 6, and 8 Gy dose groups (all P<0.05). Knockdown of NEAT1 expression or radiation alone could enhance cell radiosensitivity, and reduce cell proliferation ability (all P<0.05). Simultaneous radiation treatment with knockdown of NEAT1 expression could strengthen the above effects upon cells (all P<0.05). Knockdown of miR-149-5p expression or overexpression of GPT2 could partially reverse the aforementioned effects of knockdown of NEAT1 expression (all P<0.05). Conclusion:Knockdown of NEAT1 expression enhances breast cancer cell radiosensitivity, and reduces cell proliferation ability by regulating the miR-149-5p/GPT2 signal axis.

To summarize the nursing experience of 5 patients with severe ARDS complicated with hypercapnia who underwent extracorporeal carbon dioxide removal(ECCO2R).Key points of nursing care included:establishing a rapid emergency response nursing team for ECCO2R;PETCO2 real-time monitoring to grasp the timing of the machine;ensuring continuity of treatment and improving the removal efficiency;respiratory-related monitoring;prevention of complications of blood coagulation and hypothermia;and weaning from extracorporeal carbon dioxide removal.After careful treatment and care,all the 5 patients were successfully removed from ECCO2R treatment.

Objective:To mine and evaluate the adverse reaction risk signals of omeprazole, and provide reference for the safe application of the drug.Methods:Data cleansing on all adverse reactions of omeprazole collected in the Shandong Provincial Center for Adverse Drug Reaction Monitoring database from January 2018 to December 2021 was performed, and information on patients′ gender, age, drug administration routes, and the systems/organs involved, clinical manifestations, and outcomes of adverse reactions was collected. The risk signals of adverse reactions associated with omeprazole were mined and evaluated using reporting odds ratio (ROR), proportional reporting ratio (PRR), and Medicines and Healthcare Products Regulatory Agency (MHRA) comprehensive standard methods. The risk signal judgment criteria for ROR and PRR methods were the number of reports ≥3, and the lower limit of 95% confidence interval ( CI) of ROR or PRR>1, and that of MHRA method was the number of reports≥ 3, PRR≥2, and χ2≥4. Results:A total of 2 706 adverse reaction reports with omeprazole as suspect drug were entered, including 234 severe adverse reactions (8.7%). Of them, 1 270 were male (46.9%) and 1 432 female (52.9%); the median age was 58 years, including 86 patients under 18 years old, 1 417 cases between 18-60 years old, and 1 203 cases over 60 years old. A total of 17 systems or organs were involved in adverse reaction related to omeprazole, and the top 5 were gastrointestinal system [1 412 cases (37.6%)], skin and its accessories [883 cases (23.5%)], nervous system [716 cases(19.1%)], respiratory system [269 cases (7.2 %)], and systemic system [207 cases (5.5%)]. The median occurrence time of adverse reactions from medication was 30 minutes, and 1 710 cases (63.2%) occurred within 1 day after medication. After treatments, 1 595 patients (58.9%) recovered, 1 098 patients (40.6%) were improved, and no deaths were reported. Twenty-seven risk signals were mined by ROR and PRR methods, respectively, and 21 by MHRA method. The top 5 adverse reactions in signal intensity mined using the ROR method were gastrointestinal bloating, headache, constipation, tongue numbness, and joint pain; the top 5 adverse reactions in signal intensity mined using the PRR method were gastrointestinal bloating, headache, constipation, tongue numbness, and dizziness; the top 5 adverse reactions in signal intensity mined using the MHRA method were gastrointestinal bloating, headache, constipation, bloating, and dry mouth. Among them, the signals not mentioned in the labels were chest tightness, chills, cyanosis, mouth numbness, overall trembling, and tongue numbness.Conclusions:The adverse reactions of omeprazole involve multiple systems/organs, and common adverse reactions include gastrointestinal bloating, headache, constipation, etc. Risk signals such as chest tightness, chills, cyanosis, numbness of the mouth, trembling of the whole body, and numbness of the tongue are not recorded in the labels, which should be vigilant and intervened in time in clinics.

Objective:To mine and evaluate the adverse reaction risk signals of omeprazole, and provide reference for the safe application of the drug.Methods:Data cleansing on all adverse reactions of omeprazole collected in the Shandong Provincial Center for Adverse Drug Reaction Monitoring database from January 2018 to December 2021 was performed, and information on patients′ gender, age, drug administration routes, and the systems/organs involved, clinical manifestations, and outcomes of adverse reactions was collected. The risk signals of adverse reactions associated with omeprazole were mined and evaluated using reporting odds ratio (ROR), proportional reporting ratio (PRR), and Medicines and Healthcare Products Regulatory Agency (MHRA) comprehensive standard methods. The risk signal judgment criteria for ROR and PRR methods were the number of reports ≥3, and the lower limit of 95% confidence interval ( CI) of ROR or PRR>1, and that of MHRA method was the number of reports≥ 3, PRR≥2, and χ2≥4. Results:A total of 2 706 adverse reaction reports with omeprazole as suspect drug were entered, including 234 severe adverse reactions (8.7%). Of them, 1 270 were male (46.9%) and 1 432 female (52.9%); the median age was 58 years, including 86 patients under 18 years old, 1 417 cases between 18-60 years old, and 1 203 cases over 60 years old. A total of 17 systems or organs were involved in adverse reaction related to omeprazole, and the top 5 were gastrointestinal system [1 412 cases (37.6%)], skin and its accessories [883 cases (23.5%)], nervous system [716 cases(19.1%)], respiratory system [269 cases (7.2 %)], and systemic system [207 cases (5.5%)]. The median occurrence time of adverse reactions from medication was 30 minutes, and 1 710 cases (63.2%) occurred within 1 day after medication. After treatments, 1 595 patients (58.9%) recovered, 1 098 patients (40.6%) were improved, and no deaths were reported. Twenty-seven risk signals were mined by ROR and PRR methods, respectively, and 21 by MHRA method. The top 5 adverse reactions in signal intensity mined using the ROR method were gastrointestinal bloating, headache, constipation, tongue numbness, and joint pain; the top 5 adverse reactions in signal intensity mined using the PRR method were gastrointestinal bloating, headache, constipation, tongue numbness, and dizziness; the top 5 adverse reactions in signal intensity mined using the MHRA method were gastrointestinal bloating, headache, constipation, bloating, and dry mouth. Among them, the signals not mentioned in the labels were chest tightness, chills, cyanosis, mouth numbness, overall trembling, and tongue numbness.Conclusions:The adverse reactions of omeprazole involve multiple systems/organs, and common adverse reactions include gastrointestinal bloating, headache, constipation, etc. Risk signals such as chest tightness, chills, cyanosis, numbness of the mouth, trembling of the whole body, and numbness of the tongue are not recorded in the labels, which should be vigilant and intervened in time in clinics.

Vaccines for immunization programs play a pivotal role in the prevention and control of infectious diseases in China. Since the implementation of the Expanded Program on Immunization in 2007, a total of 15 vaccines have been used in the national immunization program, which can prevent 15 kinds of diseases. The development of vaccines in China′s immunization program in the past decade is analyzed in terms of variety, quantity, production enterprise, quality standard, and supervision system. The results show that the average dose of vaccines for China′s immunization planning is about 570 million doses per year from 2011 to 2020. The overall development of the vaccine industry for immunization planning is stable, and there are between one to five manufacturers for each type of vaccine mainly relying on domestic production. Vaccine quality standards have been continuously improved and are basically consistent with international standards. The vaccine supervision system has been continuously completed and covered the entire process of research and development, production and distribution.

Vaccines for immunization programs play a pivotal role in the prevention and control of infectious diseases in China. Since the implementation of the Expanded Program on Immunization in 2007, a total of 15 vaccines have been used in the national immunization program, which can prevent 15 kinds of diseases. The development of vaccines in China′s immunization program in the past decade is analyzed in terms of variety, quantity, production enterprise, quality standard, and supervision system. The results show that the average dose of vaccines for China′s immunization planning is about 570 million doses per year from 2011 to 2020. The overall development of the vaccine industry for immunization planning is stable, and there are between one to five manufacturers for each type of vaccine mainly relying on domestic production. Vaccine quality standards have been continuously improved and are basically consistent with international standards. The vaccine supervision system has been continuously completed and covered the entire process of research and development, production and distribution.