| Literature DB >> 35430674 |
Xin Wang1, Guangyu Wu2, Dan Shen3, Xia Zhang2, Wenying Yang4.
Abstract
INTRODUCTION: To aim of this analysis was to investigate the extent and evaluate risk factors of residual hyperglycaemia in Chinese individuals with type 2 diabetes (T2D) initiating basal insulin.Entities:
Keywords: China; Fasting blood glucose; Glycated haemoglobin; Insulin glargine 100 U/mL; Residual hyperglycaemia; Type 2 diabetes
Mesh:
Substances:
Year: 2022 PMID: 35430674 PMCID: PMC9123059 DOI: 10.1007/s12325-022-02128-y
Source DB: PubMed Journal: Adv Ther ISSN: 0741-238X Impact factor: 4.070
Baseline characteristics in overall population and by glycaemic control category at week 24
| Overall | Week-24 glycaemic control category | ||||
|---|---|---|---|---|---|
| Hyperglycaemia | Residual hyperglycaemia | At target | Discordant | ||
| ( | ( | ( | ( | ( | |
| Age, years | 55.0 (49.0–60.0) | 54.0 (49.0–60.0) | 56.0 (51.0–61.0) | 55.0 (49.0–59.0) | 54.0 (47.0–60.0) |
| Men, | 514 (56.2) | 157 (53.8) | 108 (53.5) | 158 (59.0) | 61 (60.4) |
| Body weight, kg | 70.0 (62.1–77.2) | 69.0 (61.0–76.3) | 70.0 (61.0–76.6) | 69.5 (63.0–78.0) | 70.5 (63.0–76.5) |
| BMI, kg/m2 | 25.3 (23.4–27.5) | 25.1 (23.3–27.5) | 25.3 (23.5–27.0) | 25.4 (23.7–27.8) | 24.8 (23.6–27.2) |
| Duration of diabetes, years | 7.0 (4.0–10.0) | 8.0 (4.0–11.0) | 8.0 (5.0–11.0) | 7.0 (3.0–10.0) | 7.0 (4.0–11.0) |
| Medical history, | 154 (16.8) | 50 (17.1) | 37 (18.3) | 46 (17.2) | 14 (13.9) |
| OAD count, | |||||
| 1 | 135 (14.8) | 36 (12.3) | 28 (13.9) | 42 (15.7) | 19 (19.0) |
| 2 | 588 (64.5) | 188 (64.4) | 139 (68.8) | 165 (61.8) | 64 (64.0) |
| 3 | 189 (20.7) | 68 (23.3) | 35 (17.3) | 60 (22.5) | 17 (17.0) |
| AGI use, | 345 (37.7) | 118 (40.4) | 72 (35.6) | 100 (37.3) | 37 (36.6) |
| Biguanides use, | 731 (80.0) | 236 (80.8) | 162 (80.2) | 221 (82.5) | 76 (75.2) |
| DPP4 inhibitors use, | 60 (6.6) | 19 (6.5) | 7 (3.5) | 20 (7.5) | 10 (9.9) |
| Sulfonylureas use, | 568 (62.1) | 185 (63.4) | 130 (64.4) | 158 (59.0) | 64 (63.4) |
| Thiazolidinediones use, | 65 (7.1) | 21 (7.2) | 13 (6.4) | 24 (9.0) | 1 (1.0) |
| Glinides use, | 108 (11.8) | 35 (12.0) | 26 (12.9) | 29 (10.8) | 12 (11.9) |
| HbA1c, % | 8.5 (7.8–9.4) | 8.9 (8.2–9.6) | 8.6 (7.9–9.4) | 8.1 (7.6–9.0) | 8.1 (7.4–8.8) |
| FPG, mmol/L | 10.2 (8.8–11.8) | 10.8 (9.4–12.4) | 10.0 (8.5–11.7) | 9.8 (8.6–11.3) | 9.7 (8.8–12.2) |
| PPG, mmol/Lb | 13.4 (11.2–16.0) | 13.9 (11.7–16.9) | 13.8 (11.5–15.8) | 12.9 (10.6–15.3) | 13.1 (10.7–16.4) |
| PPG excursion, mmol/Lc | 4.0 (2.0–6.1) | 4.1 (2.2–6.3) | 4.5 (2.4–6.3) | 3.8 (1.6–5.8) | 3.9 (1.9–6.2) |
All values are given as median (interquartile range) unless otherwise stated
AGI alpha-glucosidase inhibitors, BMI body mass index, DDP4 dipeptidyl peptidase 4, FPG fasting plasma glucose, HbA1c glycated haemoglobin, OAD oral anti-hyperglycaemic drugs, PPG postprandial glucose
aOverall N = 912, at target N = 267, discordant N = 100
bOverall N = 866, hyperglycaemia N = 278, residual hyperglycaemia N = 192, at target N = 254, discordant N = 94
cOverall N = 843, hyperglycaemia N = 267, residual hyperglycaemia N = 189, at target N = 250, discordant N = 92
Fig. 1Proportion of participants by glycaemic control categories at weeks 12 and 24
Association of baseline characteristics and week-24 residual hyperglycaemia status (N = 715a)
| Multivariable analysis | |||
|---|---|---|---|
| OR | (95% CI) | ||
| FBG target, mmol/L | |||
| ≤ 5.6 vs ≤ 7.0 | 1.20 | (0.71–2.03) | 0.49 |
| ≤ 6.1 vs ≤ 7.0 | 1.06 | (0.73–1.54) | 0.76 |
| Age, years (> 55 vs ≤ 55) | 1.24 | (0.86–1.77) | 0.25 |
| Sex (female vs male) | 1.10 | (0.77–1.56) | 0.61 |
| BMI, kg/m2 | |||
| 24–27.9 vs < 24 | 1.27 | (0.86–1.89) | 0.23 |
| ≥ 28 vs < 24 | 0.88 | (0.52–1.50) | 0.64 |
| Duration of diabetes, years | |||
| 5–10 vs ≤ 5 | 1.50 | (0.97–2.30) | 0.07 |
| ≥ 10 vs ≤ 5 | 1.26 | (0.80–1.97) | 0.32 |
| Medical history (yes vs no) | 1.02 | (0.65–1.61) | 0.92 |
| AGI use (yes vs no) | 0.80 | (0.52–1.22) | 0.29 |
| Biguanides use (yes vs no) | 0.81 | (0.49–1.34) | 0.41 |
| DPP4 inhibitors use (yes vs no) | 0.47 | (0.20–1.11) | 0.09 |
| Sulfonylureas use (yes vs no) | 1.08 | (0.71–1.66) | 0.71 |
| Thiazolidinediones use (yes vs no) | 0.61 | (0.28–1.34) | 0.22 |
| Glinides use (yes vs no) | 1.26 | (0.70–2.28) | 0.44 |
| HbA1c, % | 1.39 | (1.11–1.73) | < 0.01 |
| FPG, mmol/L | 0.88 | (0.79–0.97) | < 0.01 |
| PPG, mmol/L | 0.93 | (0.86–1.01) | 0.10 |
| PPG excursion, mmol/L | |||
| 3–5 vs ≤ 3 | 1.37 | (0.83–2.25) | 0.22 |
| ≥ 5 vs ≤ 3 | 1.74 | (0.95–3.21) | 0.08 |
aExcluding participants with missing values (n = 163)
AGI alpha-glucosidase inhibitors, BMI body mass index, CI confidence interval, DDP4 dipeptidyl peptidase 4, FBG fasting blood glucose, FPG fasting plasma glucose, HbA1c glycated haemoglobin, OR odds ratio, PPG postprandial glucose
| Chinese subjects with type 2 diabetes (T2D) (approx. 30%) still do not achieve target haemoglobin A1c (HbA1c) with basal insulin despite meeting fasting blood glucose (FBG) targets (i.e. have residual hyperglycaemia) because of the influence of both postprandial glucose (PPG) and fasting plasma glucose (FPG) on HbA1c. |
| Higher baseline HbA1c and lower FPG levels are risk factors for residual hyperglycaemia. |
| A lower FBG target (≤ 5.6 mmol/L or ≤ 6.1 mmol/L compared to ≤ 7.0 mmol/L) may not be able to help reduce the incidence of residual hyperglycaemia in Chinese subjects with T2D initiating basal insulin. |
| Medication with PPG-lowering effect could help to improve residual hyperglycaemia if combined with basal insulin. |