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

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.

Establishment of a visualized of prediction model for postpyloric placement of spiral nasoenteral feeding tube in neurocritical care patients / 中国实用内科杂志

OBJECTIVE: To analyze the factors influencing postpyloric placement of spiral nasoenteral feeding tube(NET) in neurocritical care patients and establish a visualized prediction model. METHODS: Patients in Neurological Intensive Care Unit(NICU)who undertook postpyloric placement of NET after receiving prokinetics from Apr 2012 to Mar 2018 were included for retrospective analysis. The patients were divided into the success and failure group base on whether the tube tip entered into duodenum(or beyond)or not confirmed by bedside X-ray 24 hours later. The baseline data, APACHE Ⅱ score(acute physiology and chronic health evaluation Ⅱ), AGI grade(acute gastrointestinal injury), therapeutic measures and agents administered were recorded. Univariate and multivariate Logistic regression analysis was used to identify the potential factors affecting the postpyloric placement of NET. Based on those factors, a predicting model was established and visualized into an easy-to-use nomogram. RESULTS: A total of 241 patients including146 male and 95 female were enrolled for the study, with an median age of 58 years, median APACHEⅡscore of 20, median AGI of Ⅰ.The placement succeeded in 119(49.4%) of 241 patients. Logistic regression analysis demonstrated that APACHE Ⅱ score, sedatives and analgesics, vasopressors and AGI grade were among the influencing factors. A prediction model with a ROC-AUC of 0.8002 were established and visualized into a nomogram. CONCLUSION: APACHE Ⅱ score, sedatives and analgesics, vasopressors and AGI grade are the factors influencing success of postpyloric NET placement in neurocritical care patients, which incorporate a predicting model that can be visualized into a nomogram. The nomogram provided intensivists an easy-to-use decision support tool in NET placements.