Background Early evaluation of prognosis in cardiogenic shock(CS)is crucial for tailored treatment selection.Both lactate clearance and lactate levels are considered useful prognostic biomarkers in patients with CS.Ho...Background Early evaluation of prognosis in cardiogenic shock(CS)is crucial for tailored treatment selection.Both lactate clearance and lactate levels are considered useful prognostic biomarkers in patients with CS.However,there is yet no literature comparing the 6-hour lactate clearance rate(Δ6Lac)with lactate levels measured at admission(L1)and after 6 h(L2)to predict 30-day mortality in CS.Methods In this observational cohort study,95 patients with CS were treated at Department of Intensive Care Unit,Yiwu Central Hospital between January 2020 and December 2022.Of these,88 patients met the eligibility criteria.The lactate levels were measured after admission(L1)as the baseline lactate value,and were measured after 6 h(L2)following admission.The primary endpoint of the study was survival rate at 30 days.A receiver operating characteristic curve was used for data analysis.Univariate and multivariate Cox regression analyses were performed based onΔ6Lac.Kaplan–Meier(KM)survival curves were generated to compare the 30-day survival rates among L1,L2,andΔ6Lac.Results TheΔ6Lac model showed the highest area under the curve value(0.839),followed by the L2(0.805)and L1(0.668)models.TheΔ6Lac model showed a sensitivity of 84.2%and specificity of 75.4%.The L1 and L2 models had sensitivities of 57.9%each and specificities of 89.9%and 98.6%,respectively.The cut-off values forΔ6Lac,L1,and L2 were 18.2%,6.7 mmol/L,and 6.1 mmol/L,respectively.Univariate Cox regression analysis revealed a significant association betweenΔ6Lac and 30-day mortality.After adjusting for five models in multivariate Cox regression,Δ6Lac remained a significant risk factor for 30-day mortality in patients with CS.In our fifth multivariate Cox regression model,Δ6Lac remained a risk factor associated with 30-day mortality(hazard ratio[HR]=5.14,95%confidence interval[CI]:1.48 to 17.89,P=0.010)as well as L2(HR=8.42,95%CI:1.26 to 56.22,P=0.028).The KM survival curve analysis revealed that L1>6.7 mmol/L(HR=8.08,95%CI:3.23 to 20.20,P<0.001),L2>6.1 mmol/L(HR=25.97,95%CI:9.76 to 69.15,P<0.001),andΔ6Lac≤18.2%(HR=8.92,95%CI:2.95 to 26.95,P<0.001)were associated with a higher risk of 30-day mortality.ConclusionsΔ6Lac is a better predictor for 30-day mortality in CS than lactate levels at admission.It has a predictive value equivalent to that of lactate level at 6 h after admission,making it an important surrogate indicator for evaluating the suitability as well as poor prognosis after CS treatment.We found that a cut-off value of 18.2%forΔ6Lac provided the most accurate assessment of early prognosis in CS.展开更多
基金supported by the Major(Key)Science and Technology Research Project of Jinhua(Grant No.2021-3-019).
文摘Background Early evaluation of prognosis in cardiogenic shock(CS)is crucial for tailored treatment selection.Both lactate clearance and lactate levels are considered useful prognostic biomarkers in patients with CS.However,there is yet no literature comparing the 6-hour lactate clearance rate(Δ6Lac)with lactate levels measured at admission(L1)and after 6 h(L2)to predict 30-day mortality in CS.Methods In this observational cohort study,95 patients with CS were treated at Department of Intensive Care Unit,Yiwu Central Hospital between January 2020 and December 2022.Of these,88 patients met the eligibility criteria.The lactate levels were measured after admission(L1)as the baseline lactate value,and were measured after 6 h(L2)following admission.The primary endpoint of the study was survival rate at 30 days.A receiver operating characteristic curve was used for data analysis.Univariate and multivariate Cox regression analyses were performed based onΔ6Lac.Kaplan–Meier(KM)survival curves were generated to compare the 30-day survival rates among L1,L2,andΔ6Lac.Results TheΔ6Lac model showed the highest area under the curve value(0.839),followed by the L2(0.805)and L1(0.668)models.TheΔ6Lac model showed a sensitivity of 84.2%and specificity of 75.4%.The L1 and L2 models had sensitivities of 57.9%each and specificities of 89.9%and 98.6%,respectively.The cut-off values forΔ6Lac,L1,and L2 were 18.2%,6.7 mmol/L,and 6.1 mmol/L,respectively.Univariate Cox regression analysis revealed a significant association betweenΔ6Lac and 30-day mortality.After adjusting for five models in multivariate Cox regression,Δ6Lac remained a significant risk factor for 30-day mortality in patients with CS.In our fifth multivariate Cox regression model,Δ6Lac remained a risk factor associated with 30-day mortality(hazard ratio[HR]=5.14,95%confidence interval[CI]:1.48 to 17.89,P=0.010)as well as L2(HR=8.42,95%CI:1.26 to 56.22,P=0.028).The KM survival curve analysis revealed that L1>6.7 mmol/L(HR=8.08,95%CI:3.23 to 20.20,P<0.001),L2>6.1 mmol/L(HR=25.97,95%CI:9.76 to 69.15,P<0.001),andΔ6Lac≤18.2%(HR=8.92,95%CI:2.95 to 26.95,P<0.001)were associated with a higher risk of 30-day mortality.ConclusionsΔ6Lac is a better predictor for 30-day mortality in CS than lactate levels at admission.It has a predictive value equivalent to that of lactate level at 6 h after admission,making it an important surrogate indicator for evaluating the suitability as well as poor prognosis after CS treatment.We found that a cut-off value of 18.2%forΔ6Lac provided the most accurate assessment of early prognosis in CS.
基金supported by the National Natural Foundation of China(No.21827804,No.22103075,No.22173089)the National Key R&D Program of China(No.2021YFA0716801,No.2017YFA0303502)。
