Secretion of insulin is compromised in type 2 diabetes (T2DM) individuals and inadequate to accommodate for insulin resistance (IR) in peripheral tissue. Hyperleptinemia reflects leptin resistance, which is a key factor in the production of IR in T2DM patients, making leptin a potential biomarker for evaluating IR levels. The objective of the study was to assess the association of serum leptin and insulin levels among T2DM patients. This case-control research was carried out on T2DM patients. A total of 73 patients diagnosed with T2DM (the case group) and 40 healthy participants (control; group 3) were enrolled according to the American Diabetes Association (ADA) criteria. In the case group, T2DM patients were enrolled with metabolic syndrome (group 1, n = 38) or without metabolic syndrome (group 2, n = 35) according to the WHO criteria. Metabolic profiles of T2DM patients with or without metabolic syndrome were evaluated, and compare these two groups with healthy controls. The subjects of all groups were age- and gender-matched. Body mass index (BMI, P < .01), fasting (P = .0133) and postprandial (P < .01) blood sugar levels, % glycated hemoglobin (HbA1c, P < .01), and lipid profile (P < .01) were found significantly different and higher in group 1 as compared to groups 2 and 3. Serum leptin and insulin levels were found higher and significant in patients with metabolic syndrome (P < .01 for both). The values of serum leptin levels were 10.01 ± 2.7 ng/mL, 6.9 ± 2.4 ng/mL, and 4.11 ± 1.8 ng/mL, and those of serum insulin 120 ± 40.7 µIU/mL, 20.43 ± 5.2 µIU/mL, and 11.4 ± 2.5 µIU/mL in groups 1, 2, and 3, respectively. There was a positive linear correlation between BMI, blood sugar, HbA1c, serum cholesterol (TC), and triglycerides (TG) with serum insulin and leptin levels in the case group. An extremely significant correlation (R = 0.74, P < .001) was found in BMI and serum leptin level in the case group. Serum leptin and insulin levels have a positive association, with serum leptin being a significant predictor of IR syndrome (Evidence Level: 5; Technical Efficacy: Stage 3).

Fulminant type 1 diabetes mellitus (FT1DM) is recognised as a novel subtype of type 1 diabetes mellitus characterised by the abrupt onset of insulin-deficient hyperglycaemia and ketoacidosis. Fulminant type 1 diabetes mellitus is known to be associated with pregnancy and had been associated with high fetal mortality. We report a case of a gestational diabetes mellitus (GDM) mother complicated with FT1DM immediately post-delivery. A 29-year-old Malay lady who was diagnosed with GDM at 19 weeks of pregnancy, underwent emergency lower segment caesarean section (EMLSCS) due to fetal distress at 36 weeks of gestation; 18 h post-EMLSCS, she developed abrupt onset Diabetic ketoacidosis (DKA) (blood glucose 33.5 mmol/L, pH 6.99, bicarbonate 3.6 mmol/L, ketone 4.4 mmol/L and HbA1c 6.1%). She received standard DKA treatment and discharged well. Her plasma C-peptide level 3 weeks later showed that she has no insulin reserve (C-peptide <33 pmol/L, fasting blood glucose (FBS) 28 mmol/L). Her pancreatic autoantibodies were negative. This case highlights that FT1DM not only can occur in pregnancy with normal glucose tolerance but can also complicate mother with GDM.

Amidst the ongoing coronavirus disease 2019 (COVID-19) pandemic, India experienced an epidemic of COVID-19-associated rhino-orbito-cerebral mucormycosis (ROCM). This study aimed to describe the epidemiology and elucidate the risk factors for developing COVID-19-associated ROCM, comparing the risk factors among COVID-19 patients with and without ROCM.
This case-control study included all COVID-19-associated ROCM patients treated at our hospital from May 1 to July 30, 2021. Controls included age- and sex-matched COVID-19 patients without ROCM, who were treated during the same time (exact matching, in 1:2 ratio). Matched pair analysis using conditional logistic regression was performed to examine the association of various risk factors with the development of ROCM in COVID-19 patients.
The study included 69 patients with COVID-19-associated ROCM and 138 age- and gender-matched controls. Epidemiologically, COVID-19-associated ROCM predominantly affected males (59/69, 85%), in their early 50s (mean 52 years), with 48% (33/69) of patients being from medical resource-constrained settings. On multivariate conditional logistic regression, elevated serum glycated hemoglobin (HbA1c) (odds ratio [OR] = 1.36, 95% confidence interval [CI]: 1.03-1.78), blood glucose (OR = 1.008, 95% CI: 1.003-1.013), and C-reactive protein (CRP) (OR = 1.07, 95% CI: 1.02-1.17) were associated with increased odds of developing COVID-19-associated ROCM. Patients with undetected diabetes mellitus with increasing HbA1c (OR = 3.42, 95% CI: 1.30-9.02) and blood glucose (OR = 1.02, 95% CI: 1.005-1.03) (P = 0.02) had a higher probability of developing COVID-19-associated ROCM than patients with established DM.
Uncontrolled DM evidenced by elevated HbA1c and blood glucose levels, exacerbated by COVID-19-induced proinflammatory state indicated by elevated CRP, is the principal independent risk factor for COVID-19-associated ROCM. Middle-aged males with undetected DM, from a resource-constraint setting, are particularly at risk.

Glycated hemoglobin (HbA1c) is used to monitor the long-term management of diabetes and reflects the average blood glucose level over the past three months. Hb J is an alpha-globin gene variant that occurs less commonly but can interfere with the HbA1c result. This case report presents two cases of abnormally high HbA1c in patients with Hb J using the high-performance liquid chromatography (HPLC) method and repeated value using the capillary electrophoresis (CE) method. The first case was a 26 years old female Malay patient, presenting at 25 weeks gestation with diabetes mellitus (DM). Her HbA1c results from HPLC showed persistently high level (> 18.5%, > 179 mmol/mol) despite optimum diabetic control (fasting blood sugar (FBS) range 4.0-6.1 mmol/L). The second case was a 62-year-old female Malay with type 2 DM. Her HbA1c results from HPLC was also persistently high (> 18.5%, > 1;79 mmol/mol) despite good diabetic control (FBS average 5.0-7.0 mmol/L). Both patients\' hemoglobin analysis reports were suggestive of Hb J. Repeated HbA1c using CE were 6.0% (42 mmol/mol) and 8.1% (65 mmol/mol), respectively, and supported the presence of the Hb J variant peak. HbA1c measurement in patients with a variant should be interpreted with caution to avoid misdiagnosis and mismanagement in these kinds of patients.

To evaluate the overall association between clinically significant nocturnal hypoglycemia (CsNH) and risk factors in geriatric patients with type 2 diabetes.
Overall, 606 geriatric with type 2 diabetes were evaluated for CsNH using Freestyle Libre Pro® (Abbott Diabetes Care, Tokyo, Japan) during October 2018-February 2020. We defined CsNH as blood glucose level <54 mg/dL (3.0 mmol/L). We investigated clinical characteristics and efficacies of hypoglycemic agents and insulin and analyzed CsNH risk factors using univariate and multivariate logistic regression analyses.
We enrolled 152 patients each for the CsNH and non-nocturnal hypoglycemia groups. Insulin use (OR = 3.77 [95 % CI: 1.92-7.67]; P = 0.0002), age (OR = 1.06 [95 % CI: 1.01-1.12]; P = 0.0492), estimated glomerular filtration rate (OR = 0.97 [95 % CI: 0.95-0.98]; P = 0.0492), and fasting blood glucose level (OR = 0.94 [95 % CI: 0.91-0.94]; P < 0.0001) were independent CsNH risk factors. The combined results demonstrated a higher predictability of CsNH than each of the individual risk factors.
We identified risk factors that could help predict CsNH in geriatric patients with type 2 diabetes and demonstrated a comprehensive risk factor assessment.

OBJECTIVE: To investigate the relationship between fibrinogen-like protein 1 (FGL-1) concentrations and various metabolic characteristics in patients with polycystic ovary syndrome (PCOS) and explore whether FGL-1 could be a predictive biomarker for PCOS.
METHODS: This case-control study included 136 patients with PCOS and 34 normal controls recruited in the Department of Endocrinology and Metabolism, Shanghai Tenth People\'s Hospital between May 2017 and June 2021. Anthropometric characteristics, metabolic parameters, and reproductive hormones were collected. Serum FGL-1 measurement was conducted using enzyme-linked immunosorbent assay (ELISA) kits.
RESULTS: Serum FGL-1 concentrations were higher in patients with PCOS than in control subjects in body mass index (BMI) subgroups, insulin resistance (IR) subgroups, and hepatic function subgroups, respectively. Serum FGL-1 concentrations were significantly associated with BMI, glycosylated hemoglobin A1c (HbA1c), fasting plasma glucose (FPG), homeostasis model assessment of insulin resistance (HOMA-IR), alanine aminotransferase (ALT), aspartate aminotransferase (AST), high-density lipoprotein cholesterol (HDL-c), and serum uric acid (SUA) in all individuals. The receiver operating characteristic (ROC) curve analysis revealed that the best cutoff value for FGL-1 levels to predict PCOS was 21.02 ng/ml with a sensitivity of 74.3% and a specificity of 70.6%. Both univariate and multiple logistic regressions indicated that the odds ratio (OR) for PCOS significantly increased in the subjects with high levels of FGL-1.
CONCLUSIONS: In our study, FGL-1 was associated with serum aminotransferase and various metabolic indexes. Moreover, the high risk of PCOS was independently associated with the increased FGL-1 levels, which suggested that FGL-1 could be a predictive biomarker for PCOS.

BACKGROUND: Acute kidney injury (AKI) is a common complication after cardiac surgery. It is closely related to poor perioperative glycemic control. We aimed to explore the relationship between preoperative hemoglobin A1c (HbA1c) levels and cumulative postoperative insulin usage and AKI after off-pump coronary artery bypass grafting (OPCABG).
METHODS: The included a total of 284 patients undergoing isolated OPCABG from 2018 to 2020. According to KDIGO\'s diagnostic criteria, patients were divided into the AKI group and the non-AKI group. Methods included ① increase in SCr by ≥0.3 mg/dl (≥26.5 µmol/l) within 48 hours; ② increase in SCr to ≥1.5 times baseline, which is known or presumed to have occurred within the prior 7 days; ③ urine volume <0.5 ml/kg/hour for 6 hours.
RESULTS: Fifty-one patients (17.9%) had postoperative AKI. HbA1c levels (non-AKI group 6.1 (5.8, 7.1) vs. the AKI group 7.1 (5.9, 8.6) (P = 0.014, cut-off=7.2, AUC=0.61, sensitivity 49%, specificity 76.4%) and postoperative insulin usage (non-AKI group 16.0 (4.0, 36.0) vs. the AKI group 56.0 (11.0, 132.0), P < 0.001, cut-off=39.5, AUC=0.673, sensitivity 60.8%, specificity 76.8%) were different between the two groups. Multivariate logistic regression analysis showed that HbA1c > 7.2% (OR=2.869, P = 0.04) and postoperative insulin usage > 39.5 U (OR=7.548, P < 0.001) were independently associated with AKI.
CONCLUSIONS: HbA1c levels and cumulative postoperative insulin usage could be used as independent predictors for AKI after OPCABG. Postoperative insulin usage is more predictive than preoperative HbA1c levels.

暂无摘要。

Diabetes mellitus (DM) is a major non-communicable disease with an increasing prevalence. Undiagnosed DM is not uncommon and can lead to severe complications and mortality. Identifying high-risk individuals at an earlier disease stage, that is, pre-diabetes (pre-DM), is crucial in delaying progression. Existing risk models mainly rely on non-modifiable factors to predict only the DM risk, and few apply to Chinese people. This study aims to develop and validate a risk prediction function that incorporates modifiable lifestyle factors to detect DM and pre-DM in Chinese adults in primary care.
A cross-sectional study to develop DM/Pre-DM risk prediction functions using data from the Hong Kong\'s Population Health Survey (PHS) 2014/2015 and a 12-month prospective study to validate the functions in case finding of individuals with DM/pre-DM. Data of 1857 Chinese adults without self-reported DM/Pre-DM will be extracted from the PHS 2014/2015 to develop DM/Pre-DM risk models using logistic regression and machine learning methods. 1014 Chinese adults without a known history of DM/Pre-DM will be recruited from public and private primary care clinics in Hong Kong. They will complete a questionnaire on relevant risk factors and blood tests on Oral Glucose Tolerance Test (OGTT) and haemoglobin A1C (HbA1c) on recruitment and, if the first blood test is negative, at 12 months. A positive case is DM/pre-DM defined by OGTT or HbA1c in any blood test. Area under receiver operating characteristic curve, sensitivity, specificity, positive predictive value and negative predictive value of the models in detecting DM/pre-DM will be calculated.
Ethics approval has been received from The University of Hong Kong/Hong Kong Hospital Authority Hong Kong West Cluster (UW19-831) and Hong Kong Hospital Authority Kowloon Central/Kowloon East Cluster (REC(KC/KE)-21-0042/ER-3). The study results will be submitted for publication in a peer-reviewed journal.
US ClinicalTrial.gov: NCT04881383; HKU clinical trials registry: HKUCTR-2808; Pre-results.

We here report a novel case of Hb Headington [β72(E16)Ser→Arg, HBB: c.217A>C, p.Ser73Arg], in a 68-year-old woman with type 2 diabetes mellitus (T2DM). Glycosylated hemoglobin (Hb) was measured by capillary electrophoresis (CE). The spectrum showed abnormal peaks between the A0 and A2 peaks. DNA sequencing demonstrated a mutation on the HBB gene, which predicted a substitution of serine to arginine at position 73 in the β-globin chain. Moreover, this amino acid substitution occurs at the same position as Hb Headington [β72(E16)Ser→Arg, HBB: c.219T>A, p.Ser73Arg], which showed increased oxygen affinity.