Objective To systematically evaluate the efficacy of β-blocker in pediatric patients with congestive heart failure and congenital heart disease,and to provide evidence for clinician.Methods Before-and-after self-control study and randomized controlled trials were retrieved from PubMed,EMbase,the Cochrane Library,CNKI,WanFang,VIP databases,and the search time was from the establishment of the database to October 31,2023.All outcomes included left ventricular ejection fraction(LVEF),left ventricular fraction shortening,LVFS),left ventricular end-diastolic dimension(LVDD),Left ventricular end-systolic dimension(LVSD),N-terminal proB brain natriuretic peptide(NT-proBNP),heart rate,blood pressure and cardiac function improvement.Results A total of 20 trials involving 1 068 children with heart failure(dilated cardiomyopathy and endocardial fibroelastosis were included.Meta-analysis results showed that the addition of β-blockers(metoprolol succinate,bisoprolol and carvedilol)on the basis of conventional drug therapy for heart failure had significant effects on LVEF[MD=13.06,95%CI(11.67,14.45),P<0.001],LVFS[MD=6.96,95%CI(6.54,7.37),P<0.001],LVDD[MD=-6.43,95%CI(-7.58,-5.28),P<0.001]and LVSD[MD=-8.30,95%CI(-8.83,-7.76),P<0.001]were significantly improved.In addition,blood pressure,heart rate,NT-proBNP and cardiac function could also be improved.Conclusion The combination regimen of β-blockers on the basis of conventional drug therapy for heart failure can improve cardiac function and symptoms of heart failure in children with congestive heart failure.Therefore,it is recommended that β-blockers should be actively used in the conventional treatment regimen for children with congestive heart failure.

Data-independent acquisition (DIA) is a high-throughput, unbiased mass spectrometry data acquisition method which has good quantitative reproducibility and is friendly to low-abundance proteins. It becomes the preferred choice for clinical proteomic studies especially for large cohort studies in recent years. The mass-spectrometry (MS)/MS spectra generated by DIA is usually heavily mixed with fragment ion information of multiple peptides, which makes the protein identification and quantification more difficult. Currently, DIA data analysis methods fall into two main categories, namely peptide-centric and spectrum-centric. The peptide-centric strategy is more sensitive for identification and more accurate for quantification. Thus, it has become the mainstream strategy for DIA data analysis, which includes four key steps: building a spectral library, extracting ion chromatogram, feature scoring and statistical quality control. This work reviews the peptide-centric DIA data analysis procedure, introduces the corresponding algorithms and software tools, and summarizes the improvements for the existing algorithms. Finally, the future development directions are discussed.
Humans ; Proteomics/methods* ; Reproducibility of Results ; Peptides/chemistry* ; Software ; Algorithms ; Tandem Mass Spectrometry/methods* ; Proteome/analysis*