Preconception episodes of severe hypoglycemia and risk of adverse pregnancy outcomes in pregnant women with type 1 diabetes mellitus.

AIMS: To explore the relationship between preconception severe hypoglycemia (PSH) and pregnancy outcomes in pregnancies complicated with type 1 diabetes mellitus (T1DM). MATERIALS AND METHODS: In this multicenter prospective cohort study, women with pregestational T1DM were stratified by episodes of severe hypoglycemia within 1 year before conception: No PSH, sporadic PSH (1-6 times/year), and recurrent PSH (>6 times/year). We analysed the predictive ability of PSH for maternal and neonatal outcomes using log-binomial regression models and receiver operating characteristic (ROC) curve. RESULTS: Of the 124 women studied, 37.1% experienced at least one episode of severe hypoglycemia preconception. In the multiple adjusted regression models, recurrent PSH was significantly associated with increased incidence of preeclampsia (RR 17.59, 95% CI: 2.89-150.62, p for trend = 0.007), preterm birth (RR 6.34, 95% CI: 1.22-40.63, p for trend = 0.027), neonatal hypoglycemia (RR 4.52, 95% CI: 1.14-17.16, p for trend = 0.017), neonatal hyperbilirubinemia (RR 4.12, 95% CI: 1.11-15.56, p for trend = 0.004), and composite neonatal outcome (RR 3.85, 95% CI: 1.01-19.61, p for trend = 0.003). In the ROC analysis, PSH predicted preeclampsia, preterm birth, neonatal hypoglycemia, neonatal hyperbilirubinemia, and composite neonatal outcome with areas under the ROC curve all ≥0.6. CONCLUSIONS: Recurrent preconception severe hypoglycemia is associated with increased risks of adverse outcomes in pregnant women with T1DM.

Effect of artificial pancreas system use on glycaemic control among pregnant women with type 1 diabetes mellitus: A meta-analysis of randomized controlled trials.

AIM: To assess the efficacy of artificial pancreas systems (APS) use among pregnant women with type 1 diabetes mellitus (T1DM) by conducting a meta-analysis. METHODS: We searched five databases, including EMBASE, Web of Science, PubMed, Cochrane Library and SCOPUS, for literature on APS use among pregnant women with T1DM before October 9, 2023. The primary endpoint was 24-hour time in range (TIR; 3.5-7.8 mmol/L). Secondary endpoints included glycaemic metrics for 24-hour (mean blood glucose [MBG], time above range [TAR], time below range [TBR]), and overnight TIR and TBR. RESULTS: We identified four randomized controlled trials involving 164 participants; one study with 16 participants focused on overnight APS use, and the other three focused on 24-hour APS use. Compared with standard care, APS exhibited a favourable effect on 24-hour TIR (standard mean difference [SMD] = 0.53, 95% confidence interval [CI] 0.25, 0.80, P < 0.001), overnight TIR (SMD = 0.67, 95% CI 0.39, 0.95, P < 0.001), and overnight TBR (<3.5 mmol/L; SMD = -0.49, 95% CI -0.77, -0.21 P < 0.001), while there was no significant difference in 24-hour TAR, 24-hour TBR, or MBG between the two groups. We further conducted subgroup analyses after removing the trial focused on overnight APS use and showed that 24-hour APS use reduced not only the 24-hour TIR (SMD = 0.41, 95% CI 0.12, 0.71; P = 0.007) but also the 24-hour TBR (<2.8 mmol/L; SMD = -0.77, 95% CI -1.32, -0.23, P = 0.006). CONCLUSION: Our findings suggest that APS might improve 24-hour TIR and overnight glycaemic control, and 24-hour APS use also significantly reduced 24-hour TBR (2.8 mmol/L) among pregnant women with T1DM.

Health-related quality of life in pregnant women with type 1 diabetes and associations with maternal and neonatal complications.

PURPOSE: Preexisting type 1 diabetes is a stressful situation for women in pregnancy. We aimed to evaluate health-related quality of life (HRQoL) during pregnancy in women with type 1 diabetes and examine the association between HRQoL and pregnancy outcomes. METHODS: This multicenter prospective cohort study involved 115 pregnant women with type 1 diabetes from 11 participating centers in China. HRQoL was investigated in three trimesters using European Quality-of-life 5-Dimension 5-Level questionnaire (EQ-5D-5 L). Chinese time trade-off value method was used to calculate the EQ-5D-5 L score. Multivariable logistic regression model was used to evaluate the effect of HRQoL on maternal and neonatal outcomes. Receiver operating characteristic curves and distribution-based methods were employed to estimate minimally important differences of clinically important decline in HRQoL. RESULTS: 50.43% of the studied women with type 1 diabetes reported impaired HRQoL in pregnancy. Estimated maternal HRQoL significantly decreased from early to mid-pregnancy (mean EQ-5D-5 L score 0.97 in the first trimester and 0.91 in the second trimester) and improved slightly in late pregnancy (mean EQ-5D-5 L score 0.95). Multivariable regression model showed that women who experienced impaired HRQoL in pregnancy had higher risk of hypertensive disorder, preterm birth, and composite pregnancy outcome. The estimated minimally important difference for composite pregnancy outcome was -0.045 to -0.043. CONCLUSIONS: Experiencing impaired HRQoL during pregnancy was associated with a higher risk of hypertensive disorder and preterm birth in women with type 1 diabetes. The estimated minimally important difference of EQ-5D-5 L might serve as a clinically important tool in prenatal care. TRIAL REGISTRATION: No.ChiCTR1900025955.

Effects of intermittently scanned continuous glucose monitoring in adult type 1 diabetes patients with suboptimal glycaemic control: A multi-centre randomized controlled trial.

AIMS: To investigate whether intermittently scanned continuous glucose monitoring without alarms (intermittently scanned CGM (isCGM)) improves glycaemic control over capillary blood glucose monitoring (BGM) among adult type 1 diabetes mellitus (T1DM) patients with suboptimal control. MATERIALS AND METHODS: Adults with T1DM and HbA1c between 7% and 10% were 1:1 randomized to use isCGM or BGM for 24 weeks. The primary outcome was the change in HbA1c levels after intervention. The secondary outcomes were the changes in sensor-derived metrics. RESULTS: A total of 104 adults with T1DM (34.2 ± 12.2 years; M/F, 38/66) were randomized to the isCGM group (n = 54) and the BGM group (n = 50). After 24 weeks, HbA1c significantly decreased in the isCGM group (8.1 ± 0.7% to 7.5 ± 1.0%) and the BGM group (8.0 ± 0.8% to 7.7 ± 1.0%) with between-group differences of 0.3% (95% coefficient intervals, 0.0%-0.6%; P = 0.04). The percentage of HbA1c reduction over 1.0% and 1.5% was significantly higher in the isCGM group with adjusted odds ratios of 2.5 (95% CI: 1.1-5.5; P = 0.03) and 3.2 (95% CI: 1.1-9.0; P = 0.03). Mean time-in-range 70-180 mg/dl (TIR) in the isCGM group significantly increased (from 58.5 ± 13.0% to 63.0 ± 12.6%), whereas mean TIR was similar in the BGM group (from 58.0 ± 14.6% to 57.5 ± 14.5%). Time spent in hyperglycemia reduced more in the isCGM group and time spent in hypoglycemia did not change significantly in both groups. CONCLUSIONS: Among adult T1DM patients with suboptimal glycaemic control, compared with BGM, isCGM use resulted in a statistically significant improvement in glycaemic control after 24-week intervention. TRIAL REGISTRATION: Clinicaltrials.gov Identifier (NCT03522870).

A pregnancy-specific Glucose management indicator derived from continuous glucose monitoring in pregnant women with type 1 diabetes.

OBJECTIVE: Glucose management indicator (GMI) is a core metric derived from continuous glucose monitoring (CGM) and is widely used to evaluate glucose control in patients with diabetes. No study has explored the pregnancy-specific GMI. This study aimed to derive a best-fitting model to calculate GMI from mean blood glucose (MBG) obtained from CGM among pregnant women with type 1 diabetes mellitus (T1DM). METHODS: A total of 272 CGM data and corresponding laboratory HbA1c from 98 pregnant women with T1DM in the CARNATION study were analysed in this study. Continuous glucose monitoring data were collected to calculate MBG, time-in-range (TIR), and glycaemic variability parameters. The relationships between the MBG and HbA1c during pregnancy and postpartum were explored. Mix-effect regression analysis with polynomial terms and cross-validation method was conducted to investigate the best-fitting model to calculate GMI from MBG obtained by CGM. RESULTS: The pregnant women had a mean age of 28.9 ± 3.8 years, with a diabetes duration of 8.8 ± 6.2 years and a mean body mass index (BMI) of 21.1 ± 2.5 kg/m2 . The HbA1c levels were 6.1 ± 1.0% and 6.4 ± 1.0% during pregnancy and at postpartum (p = 0.024). The MBG levels were lower during pregnancy than those at postpartum (6.5 ± 1.1 mmol/L vs. 7.1 ± 1.5 mmol/L, p = 0.008). After adjusting the confounders of haemoglobin (Hb), BMI, trimesters, disease duration, mean amplitude of glycaemic excursions and CV%, we developed a pregnancy-specific GMI-MBG equation: GMI for pregnancy (%) = 0.84-0.28* [Trimester] + 0.08 * [ BMI in kg/m2 ] + 0.01 * [Hb in g/mL] + 0.50 * [MBG in mmol/L]. CONCLUSIONS: We derived a pregnancy-specific GMI equation, which should be recommended for antenatal clinical care. CLINICAL TRIAL REGISTRY NUMBER: ChiCTR1900025955.

HLA class I genes modulate disease risk and age at onset together with DR-DQ in Chinese patients with insulin-requiring type 1 diabetes.

AIMS/HYPOTHESIS: The study aimed to investigate the effects of HLA class I genes on susceptibility to type 1 diabetes with different onset ages, in addition to the well-established effects of HLA class II genes. METHODS: A total of 361 patients with type 1 diabetes (192 patients with onset <18 years and 169 patients with onset ≥18 years) and 500 healthy control participants from China were enrolled and genotyped for the HLA-A, -B, -C, -DQA1, -DQB1 and -DRB1 genes using next-generation sequencing. RESULTS: The susceptible DR3 (ß = -0.09, p = 0.0009) and DR4-DQ8 (ß = -0.13, p = 0.0059) haplotypes were negatively associated with onset age, while the protective DR11 (ß = 0.21, p = 0.0314) and DR12 (ß = 0.27, p < 0.0001) haplotypes were positively associated with onset age. After adjustment for linkage disequilibrium with DR-DQ haplotypes, A*11:01:01 was positively associated with onset age (ß = 0.06, p = 0.0370), while the susceptible C*15:02:01 was negatively associated with onset age (ß = -0.21, p = 0.0050). The unit for ß was double square-root (fourth root) transformed years of change in onset age associated with per copy of the HLA haplotype/allele. In addition, B*46:01:01 was protective (OR 0.41, 0.46; pc [corrected for multiple comparisons] = 0.0044, 0.0040), whereas A*24:02:01 (OR 2.71, 2.25; pc = 0.0003, 0.0002) and B*54:01:01 (OR 3.96, 3.79; pc = 0.0018, 0.0004) were predisposing in both the <18 group and the ≥18 group compared with healthy control participants. In the context of DR4-DQ4, A*11:01:01 (61.29% vs 28.26%, pc = 0.0144) was increased while the predisposing A*24:02:01 (19.35% vs 47.83%, pc = 0.0403) was decreased in patients with onset ≥18 years when compared with patients with onset <18 years. CONCLUSIONS/INTERPRETATION: In addition to DR-DQ haplotypes, novel HLA class I alleles were detected to play a role in susceptibility to type 1 diabetes with different onset ages, which could improve the understanding of disease heterogeneity and has implications for the design of future studies.

Current practice and perspectives of healthcare providers regarding preconception care for women with type 1 diabetes in China.

AIMS: We aimed to investigate the current practice and perspectives of healthcare providers (HCPs) regarding preconception care (PCC) for women with type 1 diabetes (T1D) in China. MATERIALS AND METHODS: A questionnaire based on in-depth interviews with HCPs involved in PCC was released online and advertised via doctor unions in China. The data were categorical variables and were analysed by multivariable logistic regression, Chi-square test, or Wilcoxon rank-sum test. RESULTS: From November 2016 to January 2017, 992 responses from 31 provinces of China were received (77.3% doctors and 22.7% nurses). Regarding the current status of PCC for T1D, 62.5% of HCPs treated ≤1 woman with T1D monthly on average. Only 16.5% thought they provided proper PCC, and 29.6% reported having sufficient knowledge. Regarding attitudes towards pregnancy with T1D, 92.2% were in favour of women with T1D getting pregnant after proper glycaemic control, and 94.7% perceived their worries regarding pregnancy. Regarding doctor-patient communication, 56.6% spent <10 min per visit, while 58.3% thought ≥20 min was required for adequate communication. HCPs emphasised the importance of multidisciplinary PCC, professional training, and social support. PCC practice was associated with hospital level (OR = 2.450, 95%CI: 1.580-3.799, p < 0.001), HCPs' experience of treating women with T1D (OR = 2.196, 95%CI: 1.516-3.180, p < 0.001), and their communication sufficiency (OR = 3.706, 95%CI: 2.550-5.387, p < 0.001). CONCLUSIONS: The current PCC practice for T1D in China was suboptimal and it was associated with hospital level, HCPs' experience and communication. It is necessary to reinforce professional training and appeal for social resources to improve PCC.

Adult-onset type 1 diabetic patients with less severe clinical manifestation have less risk DR-DQ genotypes than childhood-onset patients.

BACKGROUND: The aim of this study was to investigate differences in clinical features and HLA genotypes between adult-onset and childhood-onset patients with type 1 diabetes in a Chinese population. MATERIALS AND METHODS: This study enrolled 716 Han Chinese patients with type 1 diabetes from Guangdong (258 childhood-onset and 458 adult-onset) to compare their clinical features. Of them 214 patients with classical type 1 diabetes (100 childhood-onset and 114 adult-onset) were selected for HLA DR and DQ genotyping by next-generation sequencing. RESULTS: Adult-onset patients were characterized by longer duration of symptoms before diagnosis, lower frequency of DKA at disease onset, less frequent autoantibody positivity, higher serum C-peptide concentrations, and better glycemic control. These findings were replicated in the restricted cohort of 214 patients with classical type 1 diabetes. Compared with childhood-onset patients, adult-onset patients had a lower frequency of the DR9 haplotype, as well as lower frequency of high-risk DR3/DR4 and DR3/DR9 genotypes, but higher frequency of DR3/DR3 genotype and DR3/X, DR4/X or DR9/X (X, non-risk) genotypes. CONCLUSIONS: Adult-onset type 1 diabetic patients with susceptible haplotypes (DR3, DR4 or DR9) were more likely to carry protective DR-DQ haplotypes than childhood-onset patients, which suggested the association between less risk DR-DQ genotypes and the less severe clinical manifestation in adult-onset patients.

A new model to estimate insulin resistance via clinical parameters in adults with type 1 diabetes.

AIMS/HYPOTHESIS: Insulin resistance (IR) is a risk factor to assess the development of micro- and macro-vascular complications in type 1 diabetes (T1D). However, diabetes management in adults with T1D is limited by the difficulty of lacking simple and reliable methods to estimate insulin resistance. The aim of this study was to develop a new model to estimate IR via clinical parameters in adults with T1D. METHODS: A total of 36 adults with adulthood onset T1D (n = 20) or childhood onset T1D (n = 16) were recruited by quota sampling. After an overnight insulin infusion to stabilize the blood glucose at 5.6 to 7.8 mmol/L, they underwent a 180-minute euglycemic-hyperinsulinemic clamp. Glucose disposal rate (GDR, mg kg-1  min-1 ) was calculated by data collected from the last 30 minutes during the test. Demographic factors (age, sex, and diabetes duration) and metabolic parameters (blood pressure, glycated hemoglobin A1c [HbA1c ], waist to hip ratio [WHR], and lipids) were collected to evaluate insulin resistance. Then, age at diabetes onset and clinical parameters were used to develop a model to estimate lnGDR by stepwise linear regression. RESULTS: From the stepwise process, a best model to estimate insulin resistance was generated, including HbA1c , diastolic blood pressure, and WHR. Age at diabetes onset did not enter any of the models. We proposed the following new model to estimate IR as in GDR for adults with T1D: lnGDR = 4.964 - 0.121 × HbA1c (%) - 0.012 × diastolic blood pressure (mmHg) - 1.409 × WHR, (adjusted R2  = 0.616, P < .01). CONCLUSIONS/INTERPRETATION: Insulin resistance in adults living with T1D can be estimated using routinely collected clinical parameters. This simple model provides a potential tool for estimating IR in large-scale epidemiological studies of adults with T1D regardless of age at onset.

Glycaemic control and its associated factors in Chinese adults with type 1 diabetes mellitus.

BACKGROUND: Glycaemic control is a great challenge in the management of type 1 diabetes mellitus (T1DM). There is limited data concerning glycaemic control among adults with T1DM. We used data from the Guangdong T1DM Translational Medicine Study to evaluate glycaemic control and its associated factors in Chinese adults with T1DM. METHODS: This cross-sectional analysis included 827 participants who were 18 years of age or older and had been living with T1DM for at least 1 year. Participants with HbA1c levels <7% were compared against those with HbA1c levels ≥ 7%. A multivariate logistic regression model was used to examine factors associated with glycaemic control. RESULTS: Among the 827 participants, the mean age was 34.2 ± 12.1 years and the median (interquartile range) duration of diabetes was 6.1 (3.4, 10.4) years. The median HbA1c level was 8.5% (7.5%, 10.2%). Only one-fifth of participants had HbA1c levels <7%. Insufficient glycaemic control (HbA1c ≥ 7%) was strongly associated with infrequent self-monitoring of blood glucose (OR = 1.21, 95% CI 1.14 ~ 1.29, p = 0.000), high insulin dose (OR = 1.27, 95% CI 1.07 ~ 1.52, p = 0.006), smoking (OR = 3.11, 95% CI 1.44 ~ 6.72, p = 0.004), low-frequency clinical visits (OR = 2.74, 95% CI 1.47 ~ 5.10, p = 0.001), the presence of diabetic autoantibodies (OR = 1.63, 95% CI 1.07 ~ 2.48, p = 0.022) and low fasting C-peptide (FCP) levels (OR = 1.21, 95% CI 1.01 ~ 1.46, p = 0.049) after adjustment for age at disease onset, education level, household income and diet control. CONCLUSIONS: Most adult patients with T1DM did not achieve the HbA1c target. Identifying determinants for glycaemic control provides us valuable information to improve glycaemic control in these patients. Copyright © 2015 John Wiley & Sons, Ltd.

Secondary diabetic ketoacidosis and severe hypoglycaemia in patients with established type 1 diabetes mellitus in China: a multicentre registration study.

BACKGROUND: Diabetic ketoacidosis (DKA) and severe hypoglycaemia are common acute complications of type 1 diabetes mellitus (T1DM). This study aimed to determine the incidence of, and risk factors for, these complications in Chinese patients with established T1DM. METHODS: This cross-sectional study recruited patients with established T1DM from 16 centres in Guangdong Province, China. Incidence rates were expressed as episodes/100 patient-years. Regression models identified risk factors for the occurrence and recurrence of secondary DKA and severe hypoglycaemia. RESULTS: A total of 611 patients with established T1DM (53.7% women) were recruited. The incidence of secondary DKA and severe hypoglycaemia was 26.4 (22.4, 31.0) and 68.8 (62.2, 76.0)/100 patient-years, respectively. Significant risk factors for secondary DKA were female gender [relative risk (RR) = 2.12], medical reimbursement rate <50% (RR = 1.84), uncontrolled diet (RR = 1.76), smoking (RR = 2.18) and poor glycaemic control [glycated haemoglobin A1c (HbA1c)/1.0% increase; RR = 1.15]. Overweight/obesity was a protective factor (RR = 0.57). Significant risk factors for severe hypoglycaemia included male gender (RR = 1.71), medical reimbursement rate < 50% (RR = 1.36), longer duration of T1DM (per 5-year increase, RR = 1.22), underweight (RR = 1.44), uncontrolled diet ('never controlled' or 'sometimes controlled' vs. 'usually controlled', RR = 2.09 or 2.02, respectively), exercise <150 min/week (RR = 1.66), presence of neuropathy (RR = 1.89), smoking (RR = 1.48) and lower HbA1c values (per 1.0% decrease, RR = 1.46). Overweight/obesity was a protective factor (RR = 0.62). Additionally, 34.4% of secondary DKA and 81.1% of severe hypoglycaemia episodes occurred in 3.8% and 16.2% patients with recurrent events (≥two episodes), respectively. CONCLUSIONS: The results indicate that secondary DKA and severe hypoglycaemia occur at high rates in Chinese patients with established T1DM and that recurrence is likely to occur in high-risk patients. Comprehensive management of T1DM should include recommendations to control modifiable risk factors.

[Factors associated with glycemic control in adults with type 1 diabetes mellitus on an insulin pump].

OBJECTIVE: To explore the factors associated with glycemic control in adults with type 1 diabetes mellitus (T1D) on an insulin pump. METHODS: A total of 108 patients aged over 18 years and on an insulin pump therapy for >6 months were selected from 16 centers of Guangdong Type 1 diabetes Translational Medicine Study. They were classified into two groups according to the (American Diabetes Association) ADA Hemoglobin A1c target (7.0%). Those reaching the target (n = 59) were compared with those failed (n = 49) using ANOVA and Logistic regression. RESULTS: There were 75 females and 33 males with a median age of 32.0 (25.9-40.9) years and a median disease duration of 7.9(4.2-12.3) years. Logistic regression analysis revealed an odds ratio of 4.48(95%CI 1.53-13.15, P = 0.00) for total daily basal insulin dose within 0.2-0.3 units per kilogram, an OR of 1.31 (95%CI 1.05-1.63, P = 0.01) for self-monitoring of blood glucose (SMBG) and an OR of 3.43 (95%CI 1.18-10.01, P = 0.02) for males. CONCLUSION: Higher frequencies of SMBG and appropriate basal insulin dose are essential for adult patients with T1D on an insulin pump.

Microbial and metabolomic profiles of type 1 diabetes with depression: A case-control study.

BACKGROUND: Depression is the most common psychological disorder in patients with type 1 diabetes (T1D). However, the characteristics of microbiota and metabolites in these patients remain unclear. This study aimed to investigate microbial and metabolomic profiles and identify novel biomarkers for T1D with depression. METHODS: A case-control study was conducted in a total of 37 T1D patients with depression (TD+), 35 T1D patients without depression (TD-), and 29 healthy controls (HCs). 16S rRNA gene sequencing and liquid chromatography-mass spectrometry (LC-MS) metabolomics analysis were conducted to investigate the characteristics of microbiota and metabolites. The association between altered microbiota and metabolites was explored by Spearman's rank correlation and visualized by a heatmap. The microbial signatures to discriminate TD+ from TD- were identified by a random forest (RF) classifying model. RESULTS: In microbiota, 15 genera enriched in TD- and 2 genera enriched in TD+, and in metabolites, 14 differential metabolites (11 upregulated and 3 downregulated) in TD+ versus TD- were identified. Additionally, 5 genera (including Phascolarctobacterium, Butyricimonas, and Alistipes from altered microbiota) demonstrated good diagnostic power (area under the curve [AUC] = 0.73; 95% CI, 0.58-0.87). In the correlation analysis, Butyricimonas was negatively correlated with glutaric acid (r = -0.28, p = 0.015) and malondialdehyde (r = -0.30, p = 0.012). Both Phascolarctobacterium (r = 0.27, p = 0.022) and Alistipes (r = 0.31, p = 0.009) were positively correlated with allopregnanolone. CONCLUSIONS: T1D patients with depression were characterized by unique profiles of gut microbiota and serum metabolites. Phascolarctobacterium, Butyricimonas, and Alistipes could predict the risk of T1D with depression. These findings provide further evidence that the microbiota-gut-brain axis is involved in T1D with depression.

Continuous subcutaneous insulin infusion versus multiple daily injection therapy in pregnant women with type 1 diabetes.

INTRODUCTION: The study aimed to compare glycemic control and pregnancy outcomes in women with type 1 diabetes mellitus (T1DM) using multiple daily injection therapy (MDI) and continuous subcutaneous insulin infusion (CSII) and to compare outcomes of women treated with long-acting insulin or neutral protamine Hagedorn (NPH). METHODS: This multicenter prospective cohort study involved women with pregestational T1DM treated with MDI and CSII. Primary outcome was glycated hemoglobin (HbA1c) before and during pregnancy. Secondary outcomes included maternal and neonatal outcomes and quality of life. RESULTS: Of the 121 studied women, the average age was 28.48 years, and the average body mass index was 21.29 kg/m2 at conception and 26.32 kg/m2 at delivery. Of the studied women, 78.51% had planned pregnancy. Women treated with MDI and CSII had comparable HbA1c before pregnancy or in the first and second trimesters. In the third trimester, women on CSII therapy had significantly lower HbA1c (6.07 ± 0.62 vs 6.20 ± 0.88%, p = .017), higher HbA1c on-target rate (71.43% vs 64.62%, p = .030), and greater decline of HbA1c from preconception to the third trimester (-0.65 vs -0.30%, p = .047). Fewer daily insulin requirements were observed in those used CSII compared with MDI-treated women (0.60 ± 0.22 vs 0.73 ± 0.25 U/kg/day, p = .004). Newborns born of mothers treated with the CSII method were more likely to have neonatal jaundice (adjusted odds ratio [OR] 2.76, 95% confidence interval [CI] 1.16-6.57) and neonatal intensive care unit (adjusted OR 3.73, 95%CI 1.24-11.16), and women on CSII had lower scores in patient-reported quality of life (p = .045). In the MDI group, those receiving long-acting insulin had nonsignificant lower HbA1c and higher HbA1c on-target rate in the second and third trimesters, compared with those treated with NPH. CONCLUSIONS: Insulin pump users may achieve better glycemic control than multiple daily insulin injections, which did not substantially improve pregnancy outcome.

Basal Hyperglycemia Contributes More Than Fifty Percent to Time in Range in Pregnant Women with Type 1 Diabetes.

AIMS: To evaluate the relative contribution of basal hyperglycemia (BHG) and postprandial hyperglycemia (PHG) to the time in range (TIR) categories and adverse pregnancy outcomes in pregnant women with type 1 diabetes mellitus (T1DM). MATERIALS AND METHODS: This observational study included 112 pregnancies with T1DM from the CARNATION study who wore continuous glucose monitoring (CGM) devices during pregnancy. The data from CGM were analyzed for TIR (range, 3.5-7.8 mmol/L), areas under the curve (AUC) of PHG, AUC of BHG, basal and postprandial hyperglycemia contribution rates. The contribution rates of BHG and PHG to the different levels of TIR(＜60%, 60-78%, ≥78%) and adverse pregnancy outcomes were analyzed. RESULTS: The participants' average age was 28.8±3.9 years with a diabetes duration of 8.4±6.2 years. All women experienced a mean TIR of 75.6±19.0% and a mean HbA1c of 6.2±1.1% during pregnancy. The BHG contribution accounted for 74.9(36.8, 100)%, 69.2(13.4, 100)%, and 66.5(10.0, 100)% (P＜0.001) and PHG accounted for 25.1(0, 63.2)% and 30.8(0, 86.6)% and 33.5(0, 90.0)% (P＜0.001) when participants experienced the TIR＜60%, 60-78%, ≥78%, respectively. Participants with higher BHG contribution rates tended to have more adverse pregnancy outcomes. CONCLUSIONS: Basal hyperglycemia was the major contributor to TIR during pregnancy. Along with controlling the postprandial hyperglycemia, pregnant women with T1DM who did not reach the target of TIR may benefit more from the optimization of insulin regimens focusing on reducing basal glucose.

[Incidence and related risk factors of diabetic ketoacidosis in Guangdong type 1 diabetics].

OBJECTIVE: To determine the incidence and the predictors of diabetes ketoacidosis (DKA) in Chinese type 1 diabetics so as to lay a foundation for better prevention and treatment. METHODS: For this cross-sectional study, a total of 611 patients with established type 1 diabetes between August 6, 2010 and March 31, 2012 were recruited from 16 hospitals in Guangdong Province. And 491 of them were over 18 years old. A data entry form was used to collect the patient information on demographics, medical history, acute/chronic complications, smoking/drinking status, diet, exercise, physical examination and treatment, etc. Hemoglobin A1c (HbA1c) and stimulated C peptide levels were centrally measured. The incidence rate of diabetic ketoacidosis (DKA) was calculated at events per 100 patient-years. To determine the predictors of DKA, Poisson's regression model was used for analysis. And backward stepwise logistic regression analysis was performed to identify the predictors of DKA recurrence. The protocol and informed consent form were approved by Ethics Committee of Third Affiliated Hospital, Sun Yat-sen University. Written informed consent was obtained from patients (age > 18 years) or their legal guardians (age < 18 years). RESULTS: Among them, 53.7% were females. The mean age was 27.8 years (range: 19.5 - 37.3). The age of onset was 22.7 (14.0 - 31.4) years old and disease duration 4.3 (1.7 - 7.9) years. Overweight and obese patients accounted for 10.8% and 1.0% respectively. Among them, the self-monitoring frequency of blood glucose was 0.4 (0.1 - 1.4) times per day. Overall, 26.4% patients reached the target of age-specific HbA1c values. The overall incidence of DKA was 26.4 per 100 patient-years. Significant predictors of DKA in the Poisson regression model were females (RR = 2.12), medical insurance claiming percentage below 50% (RR = 1.84), uncontrolled diet (never controlled diet vs. usually controlled diet, RR = 1.76), smoking (RR = 2.18) as well as worse glycemic control (HbA1c per 1.0% increment, RR = 1.15). Totally, 34.4% of DKA episodes occurred in 3.8% of type 1 diabetics with recurrent events (no less than 2 episodes). The recurrence of DKA was associated with females (RR = 10.56), smoking (RR = 6.99), worse beta cell function (stimulated C peptide per 100 pmol/L decrement, RR = 4.88) and worse glycemic control (HbA1c per 1.0% increment, RR = 1.16). CONCLUSION: There is a high incidence of DKA in Chinese type 1 diabetics. And it is recurrent in high-risk patients. Comprehensive management should be offered to control modifiable risk factors in these patients.

Adrenal Hemorrhage in Patients with Systemic Lupus Erythematosus and Antiphospholipid Syndrome: A Case Report and Literature Review.

Antiphospholipid syndrome (APS) is an autoimmune disorder while adrenal hemorrhage could be its rare complication. Herein, we report the case of a 32-year-old unmarried woman with a history of systemic lupus erythematosus (SLE) who was hospitalized after complaints of upper abdominal pain, limb weakness, and loss of appetite for 2 weeks. Laboratory examination revealed hyponatremia, low plasma cortisol levels, increased adrenocorticotropic hormone levels, and a positive anticardiolipin antibody status. Furthermore, computed tomography (CT) revealed the presence of bilateral adrenal masses. Ultimately, based on dynamic changes in CT images, these masses were diagnosed as adrenal hemorrhage owing to APS. A computer-assisted literature search was conducted to identify cases of primary adrenal insufficiency associated with APS and/or SLE. The clinical features, laboratory examination, treatments, and outcomes of these cases were summarized. Our findings emphasize the importance of screening for adrenal insufficiency in patients with SLE or APS who present with abdominal complaints, asthenia, and hyponatremia. It is also recommended to test for APS all patients with adrenal hemorrhage.

Efficacy and safety of Android artificial pancreas system use at home among adults with type 1 diabetes mellitus in China: protocol of a 26-week, free-living, randomised, open-label, two-arm, two-phase, crossover trial.

INTRODUCTION: Do-it-yourself artificial pancreas system (DIY APS) is built using commercially available insulin pump, continuous glucose monitoring (CGM) and an open-source algorithm. Compared with commercial products, DIY systems are affordable, allow personalised settings and provide updated algorithms, making them a more promising therapy for most patients with type 1 diabetes mellitus (T1DM). Many small and self-reported observational studies have found that their real-world use was associated with potential metabolic and psychological benefits. However, rigorous-designed studies are urgently needed to confirm its efficacy and safety. METHODS AND ANALYSIS: In this 26-week randomised, open-label, two-arm, two-phase, crossover trial, participants aged 18-75 years, with T1DM and glycated haemoglobin (HbA1c) 7-11%, will use AndroidAPS during one 12-week period and sensor-augmented pump during another 12-week period. This study will recruit at least 24 randomised participants. AndroidAPS consists of three components: (1) real-time CGM; (2) insulin pump; (3) AndroidAPS algorithm implemented in Android smartphone. The primary endpoint is time in range (3.9-10.0 mmol/L) derived from CGM. The main secondary endpoints include percentage of sensor glucose values below, within and above target range; mean sensor glucose value; measures of glycaemic variability and centralised HbA1c. Safety endpoints mainly include the frequency of hypoglycaemia events, diabetic ketoacidosis and other serious adverse events. ETHICS AND DISSEMINATION: This study has been approved by the Ethics Committee of the Third Affiliated Hospital of Sun Yat-sen University. There will be verbal and written information regarding the trial given to each participant. The study will be disseminated through peer-reviewed publications and conference presentations. OVERALL STATUS: Recruiting. STUDY START: 11 February 2023. PRIMARY COMPLETION: 31 July 2024. TRIAL REGISTRATION NUMBER: ClinicalTrials.gov Registry (NCT05726461).