1.Study on influencing factors of chylemia sample on testing results of hematological analyzer
Hanqin CAO ; Shenghang JIN ; Minjin WU
International Journal of Laboratory Medicine 2014;(13):1776-1777,1780
Objective To evaluate the clinical application value of influence of chylemia specimen before and after blood plasma exchange on the detection results of hematological analyzer.Methods 22 chylemia specimens were collected,then the hematological analyzer was used to test the chylemia specimens before and after blood plasma exchange,and the results were compared with those detected by the manual microscopic counting.Results The detection results of WBC,NEU,LY,MO,RBC,HGB and PLT in the non-chylemia specimens and the original blood specimens before blood plasma exchange had no statistically significant differences (P >0.05);in 22 cases of chylemia specimens,the WBC count and classification,and the mean value of HGB and PLT before and after blood plasma exchange in the chylemia specimens had statistically significant differences (P <0.05),the WBC count and clas-sification,and PLT mean value after blood plasma exchange in the chylemia specimens by the hematological analyzer had good corre-lation with those detectd by the microscopic counting method(r2 =0.936,r2 =0.918).In the triglyceride interference test,the WBC count and classification,and the mean value of HGB and PLT could be changed with the increase of the triglyceride concentration. Conclusion Adopting the blood plasma exchange method could obviously improve the influence of chylemia specimens on the detec-tion results by the hematological analyzer and provide the accurate results for clinic.
3.Epidemiological analysis of respiratory virus infections in Sichuan Province from 2017 to 2023
Zhonghao WANG ; Lan YANG ; Siying WU ; Lijuan WU ; Xiaoxian LI ; Minjin WANG
Chinese Journal of Microbiology and Immunology 2024;44(7):573-579
Objective:To analyze the epidemiological characteristics of respiratory virus infections in Sichuan from 2017 to 2023, and investigate the changes in detection rates of various viruses in different periods and age groups.Methods:The study included 41 516 patients with acute respiratory infections. Clinical laboratory results of these patients were retrospectively collected to calculate the detection rates of various viruses. The epidemiological characteristics of respiratory virus infections before, during, and after the COVID-19 pandemic, the prevalence of mixed infections, and the detection rates in different seasons and age groups were analyzed.Results:The overall detection rate of respiratory viruses was 23.35% (9 696/41 516), with influenza A virus (8.47%, 3 515/41 516), rhinovirus (7.13%, 2 961/41 516), and influenza B virus (2.04%, 846/41 516) being the most prevalent. The highest detection rate was observed in children aged 0-14 years (48.62%, 1 429/2 939), while the detection rates in young, middle-aged, and elderly individuals were similar [21.00% (1 482/7 057), 22.06% (3 828/17 350), 20.33% (2 685/13 205)]. The detection rate of influenza A virus dropped to 1.35% (253/18 717) during the COVID-19 pandemic, and rebounded to 13.05% (1 560/11 953) after the pandemic. A similar pattern was observed in other viruses such as human metapneumovirus, influenza B virus, coronavirus, and respiratory syncytial virus, with significant reductions during the COVID-19 pandemic and subsequent increases that even exceeded pre-pandemic levels. The detection rates of adenovirus, bocavirus, and rhinovirus gradually decreased over time, while the prevalence of parainfluenza virus remained stable, indicating a less significant impact of COVID-19 on these viruses. Higher detection rates were observed in autumn (28.90%, 2 324/8 041) and winter (26.52%, 4 093/15 433) as compared to that in spring (17.61%, 1 848/10 494) and summer (18.96%, 1 431/7 548), suggesting significant seasonal impacts on virus detection rates ( P<0.001). This study identified 8 666 cases of single-virus infections, 948 double infections, 77 triple infections, and five quadruple infections. Co-infection of bocavirus and rhinovirus was the most common type of double infections (17.41%, 165/948), and 59.60% (565/948) of double infections involved rhinovirus. Conclusions:The overall detection rate of respiratory viruses is higher in autumn and winter than in spring and summer. The prevalence of some respiratory viruses such as influenza viruses decreases during the COVID-19 pandemic. People of different ages can develop multiple infections with rhinovirus being the most common in double infections.