RESUMO
Objective:To evaluate the diagnostic for classification of newly diagnosed diabetes patients and assess the application of the screening tests recommended by the 2022 Chinese Expert Consensus on Diabetes Classification.Methods:Retrospective case series study. The data from the electronic medical record system of patients with new-onset diabetes mellitus (within 1 year of disease onset) who attending the Diabetes Specialist Outpatient Clinic at the Second Xiangya Hospital of Central South University from January 1, 2018 to December 31, 2021 were collected for the analysis. Based on the consensus, patients were categorized according their age of onset, body mass index (BMI), and suspicion of type 1 diabetes mellitus (T1DM). The chi-square statistic was used to compare key classifier indicators, including C-peptide, islet autoantibodies, and genetic markers, in the subgroups. The diagnosis in suspected T1DM patients was also evaluated. The screening strategy recommended in the consensus was further assessed using a logistic regression model and the area under the receiver-operating curve (AUC).Results:A total of 3 384 patients with new-onset diabetes were included. The average age of disease onset was (46.3±13.9) years, and 61.0% (2 065/3 384) of the patients were male. The proportions of patients who completed C-peptide and glutamic acid decarboxylase antibody (GADA) tests were 36.6% (1 238/3 384) and 37.5% (1 269/3 384), respectively. There were no significant differences in C-peptide test results among the subgroups (all P>0.05). In contrast, the GADA detection rate was higher in patients with young age of onset (<30 years old), in those who were non-obese (BMI<24 kg/m 2), and in those clinically suspected of T1DM (all P<0.05). According to the diagnostic pathway proposed by the consensus, only 57.4% (1 941/3 384) of patients could be subtyped. For a definitive diagnosis, the remaining patients needed completion of C-peptide, islet autoantibody, genetic testing, or follow-up. Furthermore, among patients with clinical features of suspected T1DM, the antibody positivity rate was higher than in non-suspected T1DM patients [24.5% (154/628) vs. 7.1% (46/646), P<0.001]. When the clinical features of suspected T1DM defined in the consensus were taken as independent variables and antibody positivity was considered the outcome variable in the logistic regression model, young onset, non-obese onset, and ketosis onset could enter the model. Based on AUC analysis, the accuracy of the diagnostic model was 0.77 (95% CI 0.73-0.81), suggesting that the clinical features of suspected T1DM in the consensus have good clinical diagnostic value for this patient subgroup. Conclusions:There was a significant discrepancy between the clinical practice of diabetes classification and the process recommended by the consensus, which was specifically reflected in the low proportions of both subtyping indicator testing and definitively subtyped diabetes patients. Attention should be pay to the classification diagnosis process proposed in the consensus and the clinical detection rate of key diabetes subtyping indicators such as C-peptide and islet autoantibodies for diabetes classification should be improved. Noteworthy, the screening strategy for T1DM proposed by the consensus showed good clinical application value.
RESUMO
Objective:To summarize the experience of five hospitals in Guangdong Province on successfully transporting retained passengers by chartered flights during the outbreak of the COVID-19.Methods:We retrospectively evaluated the operation and management, cabin arrangement, isolation requirements, and personnel protection in the aspect of epidemic prevention and control.Results:In 11 charter missions, over one thousand "healthy" passengers with potential risk of infections were transported back to China. The medical delivery team and flight crew were kept free of infection, passengers maintained zero cluster infections and no unexpected adverse events during the air transport.Conclusions:Our results indicate how to carry passengers in a scientific and orderly way is crucial for avoiding the transmission risks of the epidemic of COVID-19 among working staffers and passengers during air transportation.
RESUMO
Objective To explore the association of nocturnal serum cortisol levels with diabetic microvascular complications in overweight or obese patients with type 2 diabetes mellitus. Methods Serum cortisol levels of 316 overweight or obese type 2 diabetic patients were tested at midnight by the method of chemiluminescence. Diabetic microvascular complications were compared among various groups according to nocturnal serum cortisol levels. All the patients with nocturnal serum cortisol level > 50 nmol/L were asked to undergo overnight low-dose dexamethasone suppression test to rule out the possibility of subclincal Cushing's syndrome. The incidences of diabetic nephropathy ( DN ) , diabetic retinopathy ( DR ) , and diabetic peripheral neuropathy ( DPN ) were examined in all the patients. Results (1)The incidence of DN was gradually increased from 13.3％to 27.7％and 44.2％in patients with low, medium, and high cortisol level groups, showing a statistical difference among 3 groups ( P<0.05) . The incidences of DR in medium and high cortisol level groups were higher than that in low cortisol level group (40.6％and 47.7％vs 22.7％, both P<0.01). The incidence of DPN in high cortisol level group was higher as compared with low cortisol level group (60.5％ vs 38.7％, P<0.01). (2) Nocturnal serum cortisol level in patients with diabetic microvascular complications was higher than that in patients without complications [ (136.87 ± 105.78 vs 97.55 ± 93.48) nmol/L, P<0.01]. Nocturnal serum cortisol level in patients with multiple diabetic microvascular complications was higher than that in patients with single diabetic microvascular complication [ (151.66±114.54vs117.69±90.26)nmol/L,P<0.05].(3)Singlefactorlogisticregressionanalysisshowedthat higher nocturnal serum cortisol level was a risk factor for diabetic microvascular complications in addition to female, age, longer diabetic duration, higher fasting plasma glucose ( FPG ) . Multivariate logistic regression analysis showed that higher nocturnal serum cortisol level was still a risk factor for diabetic microvascular complications after adjusted by diabetic duration, FPG, HbA1C, and the use of insulin (P=0.013). Conclusion Nocturnal serum cortisol level seems to be a risk factor for diabetic microvascular complications in overweight or obese patients with type 2 diabetes mellitus.