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 explore the diagnostic model and clinical application value of serum proteomic fingerprint in inflammatory bowel disease (IBD) .Methods Serum proteome profiles of 72 IBD patients (54 Crohn′s disease (CD) and 18 ulcerative colitis (UC) and 44 healthy controls were analyzed by the weak cation exchange (WCX) beads combined matrix‐assisted laser desorption/ionization time of flight mass spectrometry (MALDI‐TOF‐MS ) technique . Among three groups , every two groups were compared .Wilcoxon rank sum test was used to screen out the peaks of difference expressed protein (P<0 .05) .Genetic algorithm combining with support vector machine (SVM ) was utilized to select the best diagnostic model .The predictive effects of this model was evaluated by leave one out method (LOO ) . Results The 10 most discriminating protein peaks were screened out between CD group and healthy control group , between UC group and healthy control group , between CD group and UC group . A diagnostic model established with four protein peaks ,the mass‐to‐charge ratio (M /Z ) of them was 3 275 .29 ,4 963 .91 ,4 980 .53 and 5 336 .90 ,could better distinguish CD and healthy controls .The specificity was 97 .7% ,and the sensitivity was 92 .6% in CD diagnosis .A diagnostic model established with four protein peaks ,the M /Z of them was 2 272 .41 ,2 660 .42 ,3 029 .77 and 5 002 .78 ,could better distinguish UC and healthy controls .The specificity was 100 .0% ,and the sensitivity was 94 .4% .A specificity was 50 .0% and sensitivity was 88 .9% in CD diagnosis with the diagnostic model of six protein peaks and the M /Z of them was 2 082 .63 ,2 210 .64 ,4 039 .02 ,4 298 .30 ,4 978 .03 ,5 002 .22 .Conclusion The diagnostic model of serum difference expressed protein in CD and UC is established by MALDI‐TOF‐MS technique and genetic algorithm combining with SVM ,which has high diagnostic value in IBD .