ABSTRACT
Objective:To develop a risk prediction model for early cardiac arrest in emergency sepsis utilizing a machine learning algorithm to enhance the quality and efficiency of patient treatment.Methods:This study focused on patients with sepsis who received treatment at the emergency room of the First Medical Center of Chinese PLA General Hospital from January 1, 2020 to June 1, 2023. The basic clinical characteristics such as vital signs and laboratory results were collected. Patients who fulfilled the specified inclusion criteria were allocated randomly into a training group and a testing group with a ratio of 8:2. A CatBoost model was constructed using Python software, and the prediction efficiency of the model was assessed by calculating the area under the receiver operating characteristic curve (AUC). Furthermore, the performance of the model was compared to that of other widely employed clinical scores.Results:This study included a cohort of 2 131 patients diagnosed with sepsis, among whom 449 experienced cardiac arrest. The CatBoost model demonstrated an AUC of 0.760, surpassing other scores. Notably, the top 10 predictors in the model were identified as age, lactate, interleukin -6, oxygen saturation, albumin, N-terminal pro-B-type natriuretic peptide, potassium, sodium, creatinine, and platelets.Conclusions:The utilization of this machine learning algorithm-based prediction model offers a more precise basis for predicting cardiac arrest in emergency sepsis patients, thereby potentially improving the treatment efficacy for this disease.
ABSTRACT
<p><b>OBJECTIVE</b>To test whether folic acid offers protection of the brain tissue against acute cerebral infarction in rats.</p><p><b>METHODS</b>Sprague-Dawley rats were divided into control (n=8), pre-treatment (n=12) and treatment (n=16) groups, all having routine feed for 7 days. The rats in the control and treatment groups were given normal saline daily, and those in the pre-treatment group received folic acid suspension daily. All the rats were then subject to middle cerebral artery occlusion (MCAO) for 24 h followed by reperfusion. On and after the operation day, the rats in the control group were given normal saline and those in the other two groups were given folic acid suspension daily. Neural function deficiency was evaluated on a daily basis after the operation, and on day 6 after the operation, brain biopsy was performed for examination with TTC staining. Monocyte chemokine -1 (MCP-1) in both normal and infarct tissues was measured by ELISA.</p><p><b>RESULTS</b>On day 6 after the operation, the neural function deficiency scores of the control, pre-treatment and treatment groups were 4.56∓3.63, 2.94∓2.94 and 1.00∓1.00, and the percentages of the infarct area (to the whole brain area) were (44.23∓10.06)%, (20.64∓6.78)% and (14.61∓13.51)%, respectively. The contents of MCP-1 in the infarct area of the brain tissues were 168.58∓107.21 ng/L, 152.91∓64.78 ng/L, and 97.74∓46.19 ng/L in the 3 groups, respectively.</p><p><b>CONCLUSION</b>Folic acid can protect brain tissue against acute cerebral infarction in rats.</p>