Objective To evaluate the prognostic value of monocyte human leukocyte antigen-DR(mHLA-DR),neutrophil-to-lymphocyte ratio(NLR),and CD4+T lymphocytes in sepsis.Methods A total of 29 patients with sepsis who were admitted to the department of critical care medicine of Qingdao Municipal Hospital from December 2023 to September 2024 were collected as the study subjects,and the patients were divided into survival group(20 cases)and death group(9 cases)according to the 28-day prognosis.Baseline data were collected from patients at the time of admission[including gender,age,acute physiology and chronic health evaluationⅡ(APACHEⅡ)score,sequential organ failure assessment(SOFA),white blood cell count(WBC),NLR,hemoglobin(Hb),platelet count(PLT),C-reactive protein(CRP),total protein(TP),alanine aminotransferase(ALT),aspartate aminotransferase(AST),creatinine(Cr),CD4+T lymphocyte count]and the mHLA-DR expression rate on the 1st,3rd,and 7th days of admission,and the difference between the mHLA-DR expression rate on the 3rd,7th and 1st days of admission and the 1st day of admission was calculated,which was recorded as ΔH3 and ΔH7.The receiver operator characteristic curve(ROC curve)was used to evaluate the predictive value of mHLA-DR expression,NLR,CD4+T lymphocyte count,SOFA score and APACHEⅡscore on the 28-day mortality risk of sepsis.Results Compared with the survival group,the APACHEⅡscore,SOFA score and NLR in the death group were significantly increased,and the ΔH7 and CD4+T lymphocyte counts were significantly decreased(all P<0.05).ROC curve analysis showed that ΔH7,NLR,CD4+T lymphocyte count,SOFA score and APACHEⅡscore were predictive of the 28-day prognosis of sepsis patients,and area under the curve(AUC)and 95%confidence interval(95%CI)were 0.817(0.635-0.999),0.789(0.611-0.966),0.786(0.588-0.985),and 0.853(0.685-1.000),0.844(0.659-1.000),all P<0.05.The combined detection of ΔH7 combined with NLR,ΔH7 combined with CD4+T lymphocytes,NLR combined with CD4+T lymphocytes,and ΔH7,NLR,and CD4+T lymphocytes also had predictive value for the 28-day prognosis of sepsis patients,with AUC and 95%CI of 0.867(0.735-0.998),0.878(0.752-1.000),0.883(0.760-1.000),and 0.928(0.837-1.000),respectively,all P<0.05.Conclusion The NLR and CD4+T lymphocyte count on the first day of admission to the hospital could predict the prognosis of sepsis patients,and the dynamic monitoring of mHLA-DR expression level in sepsis patients could also predict the prognosis of sepsis patients,but a single measurement of mHLA-DR expression level within 7 days was meaningless.In terms of single indicators,ΔH7 had the best predictor of the prognosis of sepsis patients among the 3 indicators of ΔH7,NLR and CD4+T lymphocyte count,and the combined detection of the 3 indicators was more advantageous in the prognosis of sepsis patients.

Objective To evaluate the prognostic value of monocyte human leukocyte antigen-DR(mHLA-DR),neutrophil-to-lymphocyte ratio(NLR),and CD4+T lymphocytes in sepsis.Methods A total of 29 patients with sepsis who were admitted to the department of critical care medicine of Qingdao Municipal Hospital from December 2023 to September 2024 were collected as the study subjects,and the patients were divided into survival group(20 cases)and death group(9 cases)according to the 28-day prognosis.Baseline data were collected from patients at the time of admission[including gender,age,acute physiology and chronic health evaluationⅡ(APACHEⅡ)score,sequential organ failure assessment(SOFA),white blood cell count(WBC),NLR,hemoglobin(Hb),platelet count(PLT),C-reactive protein(CRP),total protein(TP),alanine aminotransferase(ALT),aspartate aminotransferase(AST),creatinine(Cr),CD4+T lymphocyte count]and the mHLA-DR expression rate on the 1st,3rd,and 7th days of admission,and the difference between the mHLA-DR expression rate on the 3rd,7th and 1st days of admission and the 1st day of admission was calculated,which was recorded as ΔH3 and ΔH7.The receiver operator characteristic curve(ROC curve)was used to evaluate the predictive value of mHLA-DR expression,NLR,CD4+T lymphocyte count,SOFA score and APACHEⅡscore on the 28-day mortality risk of sepsis.Results Compared with the survival group,the APACHEⅡscore,SOFA score and NLR in the death group were significantly increased,and the ΔH7 and CD4+T lymphocyte counts were significantly decreased(all P<0.05).ROC curve analysis showed that ΔH7,NLR,CD4+T lymphocyte count,SOFA score and APACHEⅡscore were predictive of the 28-day prognosis of sepsis patients,and area under the curve(AUC)and 95%confidence interval(95%CI)were 0.817(0.635-0.999),0.789(0.611-0.966),0.786(0.588-0.985),and 0.853(0.685-1.000),0.844(0.659-1.000),all P<0.05.The combined detection of ΔH7 combined with NLR,ΔH7 combined with CD4+T lymphocytes,NLR combined with CD4+T lymphocytes,and ΔH7,NLR,and CD4+T lymphocytes also had predictive value for the 28-day prognosis of sepsis patients,with AUC and 95%CI of 0.867(0.735-0.998),0.878(0.752-1.000),0.883(0.760-1.000),and 0.928(0.837-1.000),respectively,all P<0.05.Conclusion The NLR and CD4+T lymphocyte count on the first day of admission to the hospital could predict the prognosis of sepsis patients,and the dynamic monitoring of mHLA-DR expression level in sepsis patients could also predict the prognosis of sepsis patients,but a single measurement of mHLA-DR expression level within 7 days was meaningless.In terms of single indicators,ΔH7 had the best predictor of the prognosis of sepsis patients among the 3 indicators of ΔH7,NLR and CD4+T lymphocyte count,and the combined detection of the 3 indicators was more advantageous in the prognosis of sepsis patients.

Objective:To assess the applicability of fully automatic pipeline automated testing for internal quality control (automated quality control).Methods:Stability, assay efficiency and implementation costs of 18 biochemical tests, 5 immunoturbidimetric tests and 11 chemical illuminescent tests in the Department of Laboratory Medicine of Peking Union Hospital from January 2019 to July 2022 were evaluated using automated quality control implementation methods. The detailed method is as follows: quality control materials for biochemical, immunoturbidimetric and chemiluminescent tests were stored in the refrigerator in the pipeline which was controlled by the intermediate software, and were automatically retrieved and tested as pre-set followed by documenting and storing. The quality control setup for the biochemical tests included refreshing quality control materials daily and weekly,both of which were paralleled for 3 months. The on-line storage stability of quality control materials in the pipeline was evaluated by comparing the coefficients of variation ( CV) of the quality control results between the two patterns. Effect of automated quality control application was evaluated using 6 indicators, including the results′ variation of automatically performed and manually performed quality controls, the out-of-controlled rate, the consumption of quality control materials, the change of staff workload, the impact on the testing time of the first sample, and the failure rate of automated quality control. Results:(1) Storage stability of quality control materials in the pipeline: under the pattern of weekly refresh of the biochemical quality control materials, except for total carbon dioxide (TCO 2) (the CVs of low and high level quality control were respectively 20.24% and 21.82%) and sodium (the CV of low level quality control was 1.51%) that were greater than the allowable variation set by the laboratory, the CVs of the rest tests meet the lab requirements on the allowable variations. (2) The results′ variation of quality control in automatically performed and manually performed control patterns: in the patterns of daily refresh of biochemical quality control materials and weekly refresh of immunoturbidimetric and chemiluminescent quality control materials, the CVs of both low and high levels of quality control were lower in the automatically performed control pattern than that in manually performed pattern for 8 chemiluminescent items of dehydroepiandrosterone sulfate, estradiol, follicle stimulating hormone, luteinizing hormone, serum ferritin, serum folic acid, vitamin B12 and testosterone, 3 immunologic items of complement 3, C reactive protein and immunoglobulin G, and 10 biochemical items of alkaline phosphatase, glucose, calcium, chloride, potassium, lactate dehydrogenase, sodium, urea, low density lipoprotein cholesterol, and adenosine deaminase. The out-of-control rates of biochemistry, immunoturbidimetric and chemiluminescence tests in both quality control patterns conformed with the clinical routine work requirements. (3) Comparison of quality control materials′ consumption: compared with manually performed quality control, weekly consumption of automatically performed chemiluminescent quality control materials decreased 37.5% (from 8 ml to 5 ml); weekly consumption of automatically performed immunoturbidimetric quality control materials decreased 33.3% (from 3 ml to 2 ml). (4)Comparison of staff workload and first sample testing time: compared with manually performed quality control, automatical quality control reduced manual work by about 156 steps per week, and the daily initial testing time was earlier by 15 min on average. The failure rate was 54.5% (37/64) during the early-stage application of the automated quality control which dropped to 10.2% (13/128) in the late-stage. Conclusion:The results of automated quality control detected in the pipeline system meet the quality indicators′ requirements of the laboratory, and the application of automated quality control can improve the quality control, save costs, reduce workload, and improve work efficiency.