OBJECTIVE To explore the diagnostic value of combined detection of droplet digital polymerase chain reaction(ddPCR),C-reactive protein(CRP),procalcitonin(PCT)and neutrophil-to-lymphocyte ratio(NLR)for bacterial bloodstream infections.METHODS Patients with suspected bloodstream infections admitted to Jiangbin Hospital of Guangxi Zhuang Autonomous Region from Jan.2023 to Jun.2024 were selected as the study subjects,with a total of 993 specimens from 543 patients included.Based on ddPCR and blood culture(BC)results,the pa-tients were divided into BC+and/or ddPCR+group(424 specimens)and ddPCR-/BC-group(569 specimens).The bacterial species detected by ddPCR were further classified into single infection group(258 speci-mens),mixed infection group(160 specimens)and ddPCR-group(575 specimens).The levels of CRP,PCT and NLR were compared among the groups.Receiver operating characteristic(ROC)curves were used to evaluate the diagnostic efficacy of ddPCR,CRP,PCT and NLR separately and in combination for bacterial bloodstream in-fections.RESULTS The levels of CRP,PCT and NLR in the BC+and/or ddPCR+group were 71.61(37.00,108.81)mg/L,1.74(0.47,7.93)ng/ml and 9.82(5.53,18.07),respectively,which were higher than those in the ddPCR-/BC-group(P＜0.001).I n the ddPCR mixed infection group,the levels of CRP and PCT were 88.02(42.90,112.39)mg/L and 2.83(0.89,12.35)ng/ml,respectively,which were higher than those in the single infection group(P＜0.05).The qualitative results of ddPCR were better at predicting bloodstream infec-tions(OR=15.279,95％CI:6.525～35.776,P＜0.001).According to ROC curve analysis,ddPCR had the lar-gest area under the curve(AUC)among the single detection indicator(0.759),followed by PCT(0.732).The AUC for the combination of ddPCR qualitative results with CRP,PCT and NLR was 0.830,indicating that the di-agnostic performance of the combined detection was better than that of any single indicator.CONCLUSIONS The combination of ddPCR with PCT,CRP and NLR can improve the accuracy of diagnosing bacterial bloodstream in-fections.Compared with BC,ddPCR has higher sensitivity and can quickly identify the types and concentrations of pathogens in bloodstream infections.

OBJECTIVE To explore the diagnostic value of combined detection of droplet digital polymerase chain reaction(ddPCR),C-reactive protein(CRP),procalcitonin(PCT)and neutrophil-to-lymphocyte ratio(NLR)for bacterial bloodstream infections.METHODS Patients with suspected bloodstream infections admitted to Jiangbin Hospital of Guangxi Zhuang Autonomous Region from Jan.2023 to Jun.2024 were selected as the study subjects,with a total of 993 specimens from 543 patients included.Based on ddPCR and blood culture(BC)results,the pa-tients were divided into BC+and/or ddPCR+group(424 specimens)and ddPCR-/BC-group(569 specimens).The bacterial species detected by ddPCR were further classified into single infection group(258 speci-mens),mixed infection group(160 specimens)and ddPCR-group(575 specimens).The levels of CRP,PCT and NLR were compared among the groups.Receiver operating characteristic(ROC)curves were used to evaluate the diagnostic efficacy of ddPCR,CRP,PCT and NLR separately and in combination for bacterial bloodstream in-fections.RESULTS The levels of CRP,PCT and NLR in the BC+and/or ddPCR+group were 71.61(37.00,108.81)mg/L,1.74(0.47,7.93)ng/ml and 9.82(5.53,18.07),respectively,which were higher than those in the ddPCR-/BC-group(P＜0.001).I n the ddPCR mixed infection group,the levels of CRP and PCT were 88.02(42.90,112.39)mg/L and 2.83(0.89,12.35)ng/ml,respectively,which were higher than those in the single infection group(P＜0.05).The qualitative results of ddPCR were better at predicting bloodstream infec-tions(OR=15.279,95％CI:6.525～35.776,P＜0.001).According to ROC curve analysis,ddPCR had the lar-gest area under the curve(AUC)among the single detection indicator(0.759),followed by PCT(0.732).The AUC for the combination of ddPCR qualitative results with CRP,PCT and NLR was 0.830,indicating that the di-agnostic performance of the combined detection was better than that of any single indicator.CONCLUSIONS The combination of ddPCR with PCT,CRP and NLR can improve the accuracy of diagnosing bacterial bloodstream in-fections.Compared with BC,ddPCR has higher sensitivity and can quickly identify the types and concentrations of pathogens in bloodstream infections.

OBJECTIVETo compare the acute kidney injury classification systems of RIFLE,AKIN,KDIGO and conventional criteria for determining prognosis of acute-on-chronic liver failure (ACLF) patients.

METHODSPatients with ACLF admitted to our hospital between July 2008 and March 2014 were enrolled in the study. The incidence, stages, and outcomes of acute kidney injury were determined according to the RIFLE, AKIN,KDIGO and conventional criteria.ROC curves were generated to compare the predictive ability for 30-day mortality of the four systems.Chi-square test and Fisher's exact test were used for statistical analyses, as well.

RESULTSAll four classification systems detected acute kidney injury among the patients in the study population (n =358), but the detection rates were not consistent (expressed as % of total): KDIGO criteria: 45.0%, AKIN: 38.8%, rIFLE: 35.5%, conventional criterion: 20.4%. The KDIGO and AKIN criteria showed higher sensitivity (72%), especially to early kidney injury, but the conventional criterion showed higher specificity (92%). The AUC for 30-day mortality was highest for the conventional criteria (0.75), followed by AKIN (0.72), rIFLE (0.70) and KDIGO (0.69) (all, P less than 0.05). In-hospital mortality increased with severity of AKI in a stepwise manner.

CONCLUSIONAmong the four common evaluation systems for acute kidney injury, the conventional criteria has the highest specificity for predicting short-term prognosis of patients with ACLF, while the AKIN and KDIGO criteria have the highest sensitivity for the presence of acute kidney injury, especially at the early stage.

Acute Kidney Injury ; classification ; diagnosis ; Acute-On-Chronic Liver Failure ; diagnosis ; Hospital Mortality ; Humans ; Incidence ; Prognosis ; ROC Curve ; Retrospective Studies ; Sensitivity and Specificity