Analysis of High-Risk Clinical Factors of Early Death in Secondary Hemophagocytic Lymphohistiocytosis / 中国实验血液学杂志

ABSTRACT

OBJECTIVE@#To explore the high-risk clinical factors of early death in patients with secondary hemophagocytic lymphohistiocytosis (sHLH), and further identify the clinical factors related to the rapid progression of sHLH in the short term.@*METHODS@#The clinical manifestations, laboratory examination and prognosis of sHLH patients were retrospectively analyzed. Continuous variables were grouped by median, univariate and multivariate Cox regression analysis and Kaplan-Meier survival curve were used to explore the risk factors affecting early death of sHLH. Then, a nomogram model was established with independent risk factors, Bootstrap resampling method was used for verification, and consistency index (C-index) and calibration curve were used to detect the prediction accuracy.@*RESULTS@#A total of 126 sHLH patients were enrolled, with a median age of 48.5(16-88) years, including 74 males and 52 females. Fifty-five patients (43.6%) died within 30 days, including 39 males and 16 females. Univariate regression analysis showed that lymphocyte count <0.45×109/L, platelet count (PLT) <39.5×109/L, prothrombin time (PT)≥13.3 s, activated partial thromboplastin time (APTT)≥39.7 s, albumin (ALB) <25.9 g/L, lactate dehydrogenase (LDH)≥811 U/L, creatinine (Cr) ≥67 μmol/L and procalcitonin (PCT)≥0.61 ng/ml were risk factors for death within 30 days in sHLH patients. Multivariate regression analysis showed that lymphocyte count <0.45×109/L, APTT≥39.7 s and ALB <25.9 g/L were independent risk factors for death within 30 days in sHLH patients. A nomogram model was established based on the above three risk factors, its C-index was 0.683, and the calibration chart showed good agreement between the observed and predicted values of sHLH.@*CONCLUSIONS@#Lymphopenia, prolonged APTT, and hypoalbuminemia are risk factors for early death of sHLH patients. Early identification and positive intervention are expected to reduce early mortality in sHLH patients. The nomogram model based on the above risk factors provides a method for clinicians to evaluate sHLH.