Acute exacerbation of idiopathic pulmonary fibrosis (AE-IPF) is defined as an acute and clinically significant respiratory deterioration characterized by evidence of new, widespread alveolar abnormality. In the past, AE-IPF was considered to be idiopathic, which was hard to be prevented and its prognosis was hard to be obviously improved; the latest researches have shown that AE-IPF can be triggered by known causes, including pulmonary infection, aspiration, etc. This review summarizes the etiology or risk factors, treatment and prevention of AE-IPF according to the latest researches.
ObjectiveTo analyze the prevalence and risk factors of metabolic syndrome (MS) after adult liver transplantation (LT) recipients. MethodsThe clinicopathologic data of patients with survival time ≥1 year underwent LT in the People’s Hospital of Zhongshan City from January 1, 2015 to August 31, 2020 were analyzed retrospectively. The logistic regression model was used to analyze the risk factors affecting MS occurrence after LT, and the receiver operating characteristic (ROC) curve was used to evaluate the optimal cutoff value of the index of predicting MS occurrence and its corresponding evaluation effect. ResultsA total of 107 patients who met the inclusion criteria were collected in this study. Based on the diagnostic criteria of MS of Chinese Medical Association Diabetes Association, the occurrence rate of MS after LT was 32.7% (35/107). Multivariate logistic regression analysis showed that the increased age of the recipient [OR (95%CI)=1.106 (1.020, 1.199), P=0.014], preoperative increased body mass index [OR (95%CI)=1.439 (1.106, 1.872), P=0.007] and blood glucose level [OR (95%CI)=1.708 (1.317, 2.213), P<0.001], and with preoperative smoking history [OR (95%CI)=5.814 (1.640, 20.610), P=0.006] and drinking history [OR (95%CI)=5.390 (1.454, 19.984), P=0.012] increased the probability of MS after LT. The areas under the ROC curve (AUC) corresponding to these five indexes were 0.666, 0.669, 0.769, 0.682, and 0.612, respectively. The corresponding optimal cutoff values of three continuous variables (recipient’s age, preoperative body mass index, and blood glucose level) were 53 years old, 23.1 kg/m2, and 6.8 mmol/L, respectively. The AUC of combination of the above five indexes in predicting occurrence of MS was 0.903 [95%CI (0.831, 0.952)], and the sensitivity and specificity were 80.0% and 90.3%, respectively. ConclusionsIncidence of MS after adult LT recipient is not low. For recipients with preoperative hyperglycemia, obese, elderly, histories of drinking and smoking before LT need to pay attention to the early detection and early intervention of MS.
ObjectiveTo systematically review the predictive factors of new-onset conduction abnormalities(NOCAs) after transcatheter aortic valve replacement (TAVR) in bicuspid aortic valve (BAV) patients. MethodsThe CNKI, VIP, WanFang Data, PubMed, Cochrane Library and EMbase databases were electronically searched to collect the relevant studies on NOCAs after TAVR in patients with BAV from inception to December 5, 2022. Two researchers independently screened the literature, extracted data, and assessed the risk of bias of the included studies. Meta-analysis was then performed by using RevMan 5.4 software. ResultsSix studies involving 758 patients with BAV were included. The results of the meta-analysis showed that age (MD=−1.48, 95%CI −2.73 to −0.23, P=0.02), chronic kidney disease (OR=0.14, 95%CI 0.06 to 0.34, P<0.01), preoperative left bundle branch block (LBBB) (OR=2.84, 95%CI 1.11 to 7.23, P=0.03), membranous septum length (MSL) (MD=0.93, 95%CI 0.05 to 1.80, P=0.04), implantation depth (ID) (MD=−2.06, 95%CI −2.96 to −1.16, P<0.01), the difference between MSL and ID (MD=3.05, 95%CI 1.92 to 4.18, P<0.01), and ID>MSL (OR=0.27, 95%CI 0.15 to 0.49, P<0.01) could be used as predictors of NOCAs. ConclusionCurrent evidence shows that age, chronic kidney disease, LBBB, MS, ID, the difference between MSL and ID, and ID>MSL could be used as predictors of NOCAs. Due to the limited quantity and quality of included studies, more high-quality studies are required to verify the above conclusion.
Cardiac implantable electronic device (CIED) is commonly used to treat arrhythmias. The amount of CIED implantation has increased year by year since its first application in 1958. At the same time, the CIED infection rate also increases significantly. Although the infection rate is very low for the primary implantation, the consequences of CIED infection are serious, and it is often necessary to remove the equipment for treatment. The mortality rate in patients with CIED infections is high, and the economic burden is huge. In this paper, the epidemiology, pathogenesis and pathogen, manifestations and diagnosis, risk factors, treatment and preventive measures of CIED infection were systematically described based on the recently published guidelines and international consensus literature, so as to provide theoretical guidance for the prevention of CIED infections.
ObjectiveThe risk factors of relapse in 133 epileptic children after withdrawal were analyzed retrospectively and provide reference for clinical withdrawal.MethodsFrom January 2017 to March 2019, 133 children with withdrawal epilepsy were selected as the study object. According to whether there was recurrence during the follow-up period, the children with epilepsy were divided into recurrence group (42 cases) and non recurrence group (91 cases). The gender, age of onset, history of trauma, frequency of seizure before treatment, EEG before drug reduction, imaging, type of medication, family history, time of reaching control, course of disease before treatment, comorbidity, multiple attack types, withdrawal speed and EEG before treatment were observed and compared between the two groups. ResultsThere were significant differences in EEG (χ2 =7.621), medication type (χ2=8.760), time to control (χ2=6.618), course before treatment (χ2=6.435), multiple seizure types (χ2=5.443) and epilepsy comorbidity (χ2=42.795) between the two groups (P < 0.05). The results of Logistic multiple regression analysis showed that the recurrence of epileptic children after drug reduction / withdrawal was correlated with abnormal EEG before drug reduction [OR=9.268, 95%CI (2.255, 38.092)], combined drug treatment [OR=3.205, 95%CI (1.159, 8.866)] and course of disease > 1 year before treatment [OR=5.363, 95%CI (1.781, 16.150)] (P < 0.05).ConclusionsIn order to reduce the possibility of recurrence of epileptic children, the treatment time of epileptic children with abnormal EEG, combined medication and long course before treatment should be prolonged properly.
Objective To analyze the correlation between HLA-A and B genotypes and maculopapular exanthema (MPE) caused by Carbamazepine (CBZ) and Oxcarbazepine (OXC), and to explore the genetic risk factors of MPE. Methods Patients with MPE (rash group) and patients without MPE (non-rash group) after taking CBZ or OXC were retrospectively collected from January 2016 to October 2021 in the Second Affiliated Hospital of Guangzhou Medical University. DNA was extracted from peripheral blood. HLA-A and HLA-B alleles were sequenced by high resolution sequencing, and a case-control study was conducted to analysis the correlations between MPE and HLA genotypes. Results A total of 100 patients with CBZ-MPE, 100 patients with CBZ-tolerant, 50 patients with OXC-MPE, and 50 patients with OXC-tolerant were collected. There was no significant difference in age and sex between CBZ, OXC rash groups and non-rash groups The average latency of CBZ-rash group was (11.31±11.00) days and their average dosage was (348.46±174.10) mg; the average latency of OXC-rash group was (11.67±10.34) days and their average dosage was (433.52±209.22) mg [equivalent to CBZ (289.01±139.48 mg)], showing no significant difference in latency and dosage between CBZ and OXC (P>0.05). The positive rates of HLA-A*24:02 and A*30:01 in CBZ-rash group were 28% and 6%, respectively, which were significantly higher than those in CBZ-non rash group (16% and 0%, both P=0.04). The positive rate of HLA-B*40:01 in CBZ-rash group was 18%, which was significantly lower than that in CBZ-non rash group (40%, P<0.001). No association between HLA-A or B genotype and OXC-rash was found yet. When pooled, it was still found that the positive rates of HLA-A*24:02 and A*30:01 in the rash group were higher than those in the non-rash group, while the positive rate of HLA-B*40:01 in the rash group was lower than that in the non-rash group, and the difference was statistically significant (P<0.05). Conclusions HLA-A*24:02 and A*30:01 were associated with MPE caused by CBZ, and may be common risk factors for aromatic antiepileptic drugs.
ObjectiveTo explore the risk factors for accompanying depression in patients with community type Ⅱ diabetes and to construct their risk prediction model. MethodsA total of 269 patients with type Ⅱ diabetes accompanied with depression and 217 patients with simple type Ⅱ diabetes from three community health service centers in two streets of Pingshan District, Shenzhen from October 2021 to April 2022 were included. The risk factors were analyzed and screened out, and a logistic regression risk prediction model was constructed. The goodness of fit and prediction ability of the model were tested by the Hosmer-Lemeshow test and the receiver operating characteristic (ROC) curve. Finally, the model was verified. ResultsLogistic regression analysis showed that smoking, diabetes complications, physical function, psychological dimension, medical coping for face, and medical coping for avoidance were independent risk factors for depressive disorder in patients with type Ⅱ diabetes. Modeling group Hosmer-Lemeshow test P=0.345, the area under the ROC curve was 0.987, sensitivity was 95.2% and specificity was 98.6%. The area under the ROC curve was 0.945, sensitivity was 89.8%, specificity was 84.8%, and accuracy was 86.8%, showing the model predictive value. ConclusionThe risk prediction model of type Ⅱ diabetes patients with depressive disorder constructed in this study has good predictive and discriminating ability.
ObjectiveTo summarize the influence of dietary factors on the risk of pancreatic cancer and its possible mechanism. MethodThe literatures relevant to studies of the influence of dietary factors on the risk of pancreatic cancer were collected and reviewed. ResultsThe total intakes of carbohydrate, fatty acid, protein, and vitamin affected the risk of pancreatic cancer, and the different substances belonging to the same nutrients had different effects on the risk of pancreatic cancer. In addition to nutrients, the popular beverages and different dietary patterns in recent years also affected the risk of pancreatic cancer through certain mechanisms. ConclusionDietary factors can affect risk of pancreatic cancer through a variety of mechanisms, and it might decrease risk of pancreatic cancer by intervening in dietary factors in daily life for healthy people.
Objective To assess the prevalence of malnutrition in patients with advanced non-small cell lung cancer (NSCLC) using the Global Leadership Initiative on Malnutrition (GLIM) criteria, analyze its associated factors, and explore the adverse effects of malnutrition on advanced NSCLC patients in multiple aspects. Methods Patients with NSCLC who were hospitalized for the first time in the Department of Oncology, Shangjin Hospital, West China Hospital, Sichuan University between January and December 2021 were retrospectively selected as the study objects. Malnutrition assessment was carried out in all patients according to GLIM criteria, and the current situation and related factors of malnutrition were analyzed. The Barthel index scale was used to compare the daily activity ability between the malnourished group and the non-malnourished group, the Quality-of-Life Questionnaire-Core 30 scale was used to compare the quality of life between the two groups, and the adverse reactions of the two groups were compared by the hospital information system course records. Results According to GLIM diagnostic criteria, 134 of 285 patients (47.0%) were diagnosed with malnutrition. The results of binary multiple logistic regression analysis showed that age [60-69 vs. <60 years old: odds ratio (OR)=2.323, 95% confidence interval (CI) (1.277, 4.397); ≥70 vs. <60 years old: OR=10.816, 95%CI (4.185, 27.959)], previous medical history [OR=2.740, 95%CI (1.313, 5.717)], and albumin level [OR=0.905, 95%CI (0.848, 0.965)] were associated with malnutrition in patients with advanced NSCLC (P<0.05). The daily activity ability and quality of life in the malnourished group were significantly worse than those in the non-malnourished group (87.57±12.48 vs. 91.82±6.77, P<0.05; 76.22±11.52 vs. 83.96±9.75, P<0.05), and the incidence of adverse reactions in the malnourished group was higher than that of the non-malnourished group (50.7% vs. 31.8%, P<0.05). Conclusions The prevalence of malnutrition in patients with advanced NSCLC is high, and advanced age, previous medical history and albumin are related factors of malnutrition in patients with advanced NSCLC. Combined malnutrition may have adverse effects on mobility, quality of life and adverse effects of anti-tumor therapy in advanced NSCLC patients.