ABSTRACT
Hepatocellular carcinoma is a typical chronic inflammatory-associated malignancy. Chronic inflammation continuously damages the reticuloendothelial system of the liver and leads to impairment of immune surveillance, which in turn leads to dysregulation of the immune environment. Immune escape caused by impaired surveillance system can improve the immunogenicity of tumor, which plays an important role in the occurrence and development of tumors. Studies have shown that the indicators including immune inflammatory cells such as neutrophils, platelets and lymphocytes can predict the prognosis of hepatocellular carcinoma, the individualized treatment and early intervention for patients on this basis is expected to improve the prognosis of patients. The article introduces the role of immune cells in the occurrence and development of hepatocellular carcinoma, and summarizes the relationship between peripheral blood immune inflammatory indicators and prognosis of hepatocellular carcinoma.
ABSTRACT
Objective:To evaluate the data quality of Shenzhen Type 1 Diabetes Alliance (SZT1D), and to provide a basis for evaluation and improvement for the continuous improvement of data quality.Methods:From December 2018 to July 2021, 697 first-visit type 1 diabetes (T1DM) patients (including 501 in Shenzhen and 196 out-of-Shenzhen) and 120 re-visited T1DM patients (including 113 in Shenzhen and 7 out-of-Shenzhen) who were registered by SZT1D in collaborative research platform network of China Type 1 Diabetes Alliance (hereinafter referred to as China T1D). The data quality was evaluated from three dimensions: data completion, accuracy and revisit. The data completion degree was evaluated by the overall data completion degree and the key indicator completion degree; the data accuracy was evaluated by the probability of abnormal blood glucose value; the patient′s return visit was evaluated by the return visit rate.Results:The main characteristics of T1DM in SZT1D were young and middle-aged adults [age: (34.4±17.1)years] with thin body [BMI: (19.80±3.52)kg/m 2)], half of male and female patients [proportion of male: 52.4%(365/697)]; the main types of diagnosis were classical T1DM [65.22%(150/230)] and latent autoimmune diabetes in adults(LADA) [26.08%(60/230)], and the fasting blood glucose (FPG) [(10.93±6.98)mmol/L] and glycosylated hemoglobin (HbA 1c) [(10.63±3.01)%] were high. The average completion rate of the overall data of the first diagnosed patients in SZT1D was only 60% [(62.9±31.5)%]: the number of patients with overall data completion ≥80% in SZT1D was only 50.2%(350/697); the number of patients with overall data completion ≥80% in Shenzhen was less than that outside Shenzhen [44.3%(222/501) vs 65.3%(128/196), P<0.001]. The key indicators with better completion rate of first-visit were disease course [76.2%(531/697)], age of onset [75.8%(528/697)], family history of diabetes [74.9%(522/697)], etc., but none of them had a completion rate of more than 80%, and the diabetes self-management behavior assessment questionnaire and scale score were completely missing; the frequency of daily blood glucose monitoring [46.1%(231/501) vs 64.3%(126/196), P<0.001], current insulin regimen [44.3%(222/501) vs 63.3%(124/196), P<0.001], number of diabetic ketoacidosis (DKA) since the onset of the disease [45.7%(229/501) vs 64.8%(127/196), P<0.001] and the number of symptomatic hypoglycemia in the past 1 month [39.3%(197/501) vs 63.8%(125/196), P<0.001] were higher in Shenzhen than those reported outside Shenzhen. In addition, the probability of abnormal FPG and postprandial glucose (PPG) [5.2%(24/466); 3.8%(19/236)] were low. The revisit rate was not high [17.2%(120/697)], and the revisit rate in Shenzhen was higher than that outside Shenzhen [22.6%(113/501) vs 3.6%(7/196), P<0.001]. The first revisit rate was 16.2%(113/697) and the second revisit rate was seriously insufficient [1.0%(7/697)]. Conclusions:The data quality of T1DM patients recorded by SZT1D needs to be further improved. Improving the information interconnection between China-T1D and SZT1D, employing quality control personnel and building a systematic data quality evaluation analysis and feedback mechanism are methods to promote the comprehensive, accurate and efficient input of T1DM data and continuously improve the evaluation methods to improve the overall data quality.
ABSTRACT
Acute pancreatitis (AP) is one of the common acute abdominal diseases of the digestive system, and early treatment to avoid aggravation to severe pancreatitis (SAP) is the key to guaranteeing prognosis. AP with acute kidney injury (AKI) can significantly increase the mortality rate of pancreatitis. Early diagnosis of AP with AKI is a top priority to reduce mortality rate. This article reviews the current studies on the early predictors for AKI in AP and briefly describes commonly used indicators (neutrophil-to-lymphocyte ratio, cystatin C, renal vascular resistance index, and neutrophil gelatinase-associated lipocalin) and other valuable indicators. It is pointed out that a combination of various markers based on their sensitivity and specificity has a promising future in the diagnosis of AKI in AP.