Efficacy and Safety of Dapagliflozin versus Liraglutide in Patients with Overweight or Obesity and Type 2 Diabetes Mellitus: A Randomised Controlled Clinical Trial in Tianjin, China.

Objective: We aimed to clarify the efficacy of dapagliflozin versus liraglutide in patients with overweight or obesity and type 2 diabetes mellitus (T2DM) at the beginning of the coronavirus disease 2019 (COVID-19) pandemic. Methods: T2DM patients with overweight or obesity who visited the Metabolic Disease Management Center at Tianjin Fourth Central Hospital from October 2019 to January 2020 were recruited and randomised to receive dapagliflozin or liraglutide for 24 weeks. Changes in blood glucose and lipid levels, blood pressure, and body weight, as well as the occurrence of hypoglycaemia and other adverse events, were compared. Results: 309 patients completed the study (143 in liraglutide group and 166 in dapagliflozin group). After 24 weeks, HbA1c, fasting blood glucose (FPG), and 2 h postprandial blood glucose (2hPG) levels significantly decreased from 8.80% ± 1.41% to 7.02% ± 1.05%, 10.41 ± 3.13 to 7.59 ± 2.16 mmol/L, and 17.90 ± 4.39 to 10.12 ± 2.47 mmol/L, respectively, in the dapagliflozin group, and from 8.92% ± 1.49% to 6.78% ± 1.00%, 10.04 ± 2.99 to 7.20 ± 1.63 mmol/L, and 17.30 ± 4.39 to 10.13 ± 4.15 mmol/L, respectively, in the liraglutide group. Changes in HbA1c, FPG, and 2hPG levels between groups were not significantly different. Systolic blood pressure (SBP) and low-density lipoprotein cholesterol (LDL-C) level significantly decreased from 144.1 ± 19.1 to 139.7 ± 16.2 mmHg (p = 0.001) and from 3.21 ± 0.94 to 2.98 ± 0.89 mmol/L (p = 0.014), respectively, in the dapagliflozin group. After COVID-19 outbreak, the number of patients taking sleep-promoting drugs increased from 4.9% to 9.4% (p = 0.029). Conclusions: Liraglutide and dapagliflozin had strong hypoglycaemic effects in patients with overweight or obesity and T2DM at the beginning of the COVID-19 pandemic. Dapagliflozin may be beneficial in improving SBP and LDL-C levels; however, further research is warranted.

Corrigendum to "Thyroid Hormone Changes in the Northern Area of Tianjin during the COVID-19 Pandemic".

[This corrects the article DOI: 10.1155/2022/5720875.].

Thyroid Hormone Changes in the Northern Area of Tianjin during the COVID-19 Pandemic.

PURPOSE: This study aimed to determine whether and how stress-induced thyroid hormone changes occur during the COVID-19 pandemic in the northern area of Tianjin. METHODS: This study comprised two groups of study subjects in Tianjin: before (2019) and during (2020) the COVID-19 outbreak. Subjects were included if they had FT3, FT4, and TSH concentrations and thyroid TPOAb or TgAb information available. People who were pregnant, were lactating, or had mental illness were excluded. We used propensity score matching to form a cohort in which patients had similar baseline characteristics, and their anxiety level was measured by the Hamilton Anxiety Rating Scale (HAMA). RESULTS: Among the 1395 eligible people, 224 in Group A and 224 in Group B had similar propensity scores and were included in the analyses. The detection rate of abnormal thyroid function was decreased in pandemic Group B (69.2% vs. 93.3%, χ 2 = 42.725, p < 0.01), especially for hypothyroidism (14.29% vs. 35.71%, χ 2 = 27.429, p < 0.01) and isolated thyroid-related antibodies (25.89% vs. 38.39%, χ 2 = 8.023, p < 0.01). The level of FT4 (z = -2.821, p < 0.01) and HAMA score (7.63 ± 2.07 vs. 5.40 ± 1.65, t = 16.873, p < 0.01) went up in Group B; however, TSH (z = -5.238, p < 0.01), FT3 (z = -3.089, p=0.002), TgAb (z = -11.814, p < 0.01), and TPOAb (z = -9.299, p < 0.01) were lower, and HAMA was positive with FT3 (r = 0.208, p < 0.01) and FT4 (r = 0.247, p < 0.01). CONCLUSION: People in the northern area of Tianjin during the COVID-19 outbreak were at an increased risk of higher FT4, lower FT3, and lower TSH. The HAMA scores increased in emergency situations and were positively correlated with the levels of FT3 and FT4.

Association of adolescent smoking history and onset age of diabetes with diabetic retinopathy / 中华内分泌代谢杂志

A total of 820 patients who visited Endocrinology department in our hospital were enrolled in the study from June 2016 to May 2018. These patients were divided into diabetic retinopathy ( DR ) and non-diabetic retinopathy ( NDR) groups according to the occurrence of DR. Factors such as gender, age, course of diabetes, smoking/drinking history, family history of diabetes, and onset age of diabetes were compared between the two groups, and logistic regression was used to analyze the risk factors of DR. The results showed that there were 387 smoker( 47. 2％) and 433 non-smoker ( 52. 8％) in 820 tyge 2 diabetic patients, and 339 ( 41. 3％) patients were diagnosed with DR. There were no statistical differences in gender, age, body mass index, family history of diabetes, drinking history, and HbA1C between the two groups. Logistic regression analysis showed that duration of diabetes (OR=2.653,P<0.001), hypertension(OR=1.371,P=0.041),onset age of diabetes<40years(OR=1.526,P=0.028) , and adolescent smoking history( OR=2.178,P<0.001) were independent risk factors for DR.