| Literature DB >> 36057557 |
Jesrine Gek Shan Hong1, Mohd Yahaya Noor Fadzleeyanna1, Siti Zawiah Omar1, Peng Chiong Tan2.
Abstract
BACKGROUND: There are no obvious thresholds at which the risk of adverse pregnancy outcomes increases as a result of maternal hyperglycemia. HbA1c level which is representative of average blood glucose levels over the last 2-3 months is not as strongly predictive of adverse outcome compared to blood glucose values of oral glucose tolerance test. Data is sparse on the predictive value of HbA1c at term just prior to delivery on adverse outcome. We sought to evaluate HbA1c taken on admission for delivery at term on adverse outcomes of Cesarean delivery and large (≥ 90th centile) for gestational age (LGA) infants.Entities:
Keywords: Adverse pregnancy outcome; Cesarean; Diabetes; Glycated hemoglobin; HbA1c; Large for gestational age; Term
Mesh:
Substances:
Year: 2022 PMID: 36057557 PMCID: PMC9440566 DOI: 10.1186/s12884-022-05000-7
Source DB: PubMed Journal: BMC Pregnancy Childbirth ISSN: 1471-2393 Impact factor: 3.105
Fig. 1Study flow chart of HbA1c as predictor of adverse pregnancy outcomes and adjusted analyses models
Characteristics and outcomes of study population
| Characteristics | Participants ( |
|---|---|
| 5.3 [5.1–5.6] | |
| HbA1c ≤ 5.6% | 794 (79.4%) |
| HbA1c 5.7–6.4% | 197(19.7%) |
| HbA1c ≥ 6.5% | 9 (0.9%) |
| 39.0 ± 1.1 | |
| 30.6 ± 4.6 | |
| 1 [0–2] | |
| 0 | 396 (39.6%) |
| 1 | 325 (32.5%) |
| 2 | 166 (16.6%) |
| ≥ 3 | 113 (11.3%) |
| 212 (21.2%) | |
| Malay | 621 (62.1%) |
| Chinese | 127 (12.7%) |
| Indian | 116 (11.6%) |
| Others | 136 (13.6%) |
| 28.9 ± 4.9 | |
| < 25 | 215 (21.5%) |
| 25–29.9 | 431 (43.1%) |
| ≥ 30 | 354 (35.4%) |
| 12.0 ± 1.3 | |
| | 242 (24.2%) |
| Gestational diabetes | 232 (23.2%) |
| Type 2 diabetes | 10 (1.0%) |
| | 70 (7.0%) |
| Metformin only | 54 (5.4%) |
| Insulin only | 3 (0.3%) |
| Metformin and insulin | 13 (1.3%) |
| 53 (5.3%) | |
| 49 (4.9%) | |
| 59 (5.9%) | |
| 10 (1.0%) | |
| 9 (0.9%) | |
| 165 (16.5%) | |
| 206 (20.6%) | |
| | 307 (30.7%) |
| Planned | 35 (3.5%) |
| Unplanned | 272 (27.2%) |
| | 3.08 ± 0.40 |
| LGA (Large for gestational age) | 99 (9.9%) |
| LBW (low birth weight < 2.5 kg) | 66 (6.6%) |
| | 323 ± 247 |
| PPH ≥ 500 ml | 146 (14.6%) |
| 54 (5.4%) | |
| 7.30 ± 0.07 | |
| pH < 7.1 | 15 (1.5%) |
| -4.03 ± 3.41 | |
| BE ≤ -12 | 24 (2.4%) |
| 9 [9-9] | |
| Apgar score at 1 min ≤ 3 | 2 (0.2%) |
| 10 [10-10] | |
| Apgar score at 5 min ≤ 6 | 1 (0.1%) |
Values are stated as mean ± standard deviation, median [interquartile range] or n (%). Analysis by t test for continuous data, Mann–Whitney U test for non-parametric data and Chi Square test for categoric variable
Characteristics (independent variables) dichotomized according to Cesarean delivery and vaginal delivery (dependent variable) on bivariate or crude analysis and results following adjusted analysis incorporating all significant (p < 0.05) independent variables on crude analysis
| Variable | Cesarean Delivery ( | Vaginal Delivery ( | RR (95% CI) | Multivariable Logistic Regression Analysis | ||
|---|---|---|---|---|---|---|
| AOR (95%CI) | ||||||
| 5.4[5.2–5.7] | 5.3[5.1–5.6] | < 0.001 | 1.47 (1.06–2.06)a | 0.023 | ||
| 1.04 (1.01–1.08)b | 0.023 | |||||
| 39.1 ± 1.2 | 39.0 ± 1.1 | 0.21 | ||||
| 30.7 ± 4.4 | 30.6 ± 4.7 | 0.64 | ||||
| 0.001 | < 0.001 | |||||
| 0 | 148 (48.2%) | 248 (35.8%) | ||||
| 1 | 92 (30.0%) | 233 (33.6%) | 0.29 (0.20–0.43) | < 0.001 | ||
| 2 | 44 (14.3%) | 122 (17.6%) | 0.27 (0.17–0.45) | < 0.001 | ||
| ≥ 3 | 23 (7.5%) | 90 (13.0%) | 0.19 (0.10–0.34) | < 0.001 | ||
| 63 (20.5%) | 149 (21.5%) | 0.73 | 0.95 (0.73–1.24) | |||
| | < 0.001 | 0.006 | ||||
| Malay | 169 (55.0%) | 452 (65.2%) | ||||
| Chinese | 37 (12.1%) | 90 (13.0%) | 1.17 (0.73–1.87) | 0.51 | ||
| Indian | 55 (17.9%) | 61 (8.8%) | 2.00 (1.28–3.12) | 0.002 | ||
| Other | 46 (15.0%) | 90 (13.0%) | 1.71 (1.10–2.68) | 0.018 | ||
| | 30.0 ± 5.0 | 28.4 ± 4.7 | < 0.001 | 1.06 (1.02–1.09) | 0.001 | |
| Hemoglobin < 11 g/dl | 74 (24.1%) | 138 (19.9%) | 0.14 | 1.28 (0.93–1.76) | ||
| | 88 (28.7%) | 154 (22.2%) | 0.028 | 1.29 (1.03–1.62) | 1.07 (0.75–1.53) | 0.72 |
| Anti-glycemic | 24 (7.8%) | 46 (6.6%) | 0.50 | 1.18 (0.73–1.89) | ||
| | 15 (4.9%) | 38 (5.5%) | 0.70 | 0.89 (0.50–1.60) 1.591.59)(0.501.5911.591.59)_ | ||
| 21(6.8%) (6.8%) | 28 (4.0%) | 0.059 | 1.69 (0.98–2.93) | |||
| 25 (8.1%) | 34 (4.9%) | 0.045 | 1.66 (1.01–2.73) | 1.83 (1.01–3.33) | 0.049 | |
| 3 (1.0%) | 7 (1.0%) | 0.96 | 0.97 (0.25–3.72) | |||
| 0 (0.0%) | 9 (1.3%) | 0.064 | * | |||
| 93 (30.3%) | 72 (10.4%) | < 0.001 | 2.92 (2.21–3.85) | 7.30 (4.76–11.17) | p < 0.001 | |
| 86 (28.0%) | 120 (17.3) | < 0.001 | 1.62 (1.27–2.06) | 1.85 (1.28–2.67) | 0.001 | |
| 3.14 ± 0.41 | 3.06 ± 0.39 | 0.003 | 1.82 (1.23–2.70) | 0.003 | ||
Values are stated as mean ± standard deviation, median [interquartile range] or n (%). Crude analysis by t test for continuous data, Mann–Whitney U test for non-parametric data, and Chi Square test for categoric variable. Adjustment made utilizing multivariable binary logistic regression analysis of significant independent variable with adjusted results shown if variable incorporated in the model
a per 1% increase in HbA1c level
b per 0.1% increase in HbA1c level
Characteristics (independent variables) dichotomized according to Cesarean delivery and vaginal delivery (dependent variable) on bivariate or crude analysis and results following adjusted analysis incorporating all significant (p < 0.05) independent variables on crude analysis
| Variable | LGA ( | Non LGA ( | RR (95% CI) | Multivariable Logistic Regression Analysis | ||
|---|---|---|---|---|---|---|
| AOR (95%CI) | ||||||
| 5.4[5.1–5.6] | 5.3[5.1–5.6] | 0.17 | 1.43 (0.93–2.18) | 0.101 | ||
| 39.1 ± 1.1 | 39.0 ± 1.1 | 0.55 | ||||
| 31.0 ± 4.5 | 30.6 ± 4.6 | 0.43 | ||||
| 0.068 | ||||||
| 0 | 29 (29.3%) | 367 (40.7%) | ||||
| 1 | 37 (37.4%) | 288 (32.0%) | ||||
| 2 | 16 (16.2%) | 150 (16.6%) | ||||
| ≥ 3 | 17 (17.2%) | 96 (10.7%) | ||||
| 23 (23.2%) | 189 (21.0%) | 0.60 | 1.11 (0.76–1.62) | |||
| 0.81 | ||||||
| Malay | 66 (66.7%) | 555 (61.6%) | ||||
| Chinese | 11 (11.1%) | 116 (12.9%) | ||||
| Indian | 10 (10.1%) | 106 (11.8%) | ||||
| Others | 12 (12 .1%) | 124 (13.8%) | ||||
| 29.9 ± 4.8 | 28.8 ± 4.9 | 0.022 | 1.04 (1.00–1.09) | 0.048 | ||
| 30 (30.3%) | 182 (20.2%) | 0.02 | 1.50 (1.08–2.08) | 1.74 (1.09–2.78) | 0.021 | |
| | 23 (23.2%) | 219 (24.3%) | 0.81 | 0.96 (0.66–1.39) | ||
| Antiglycemic | 7 (7.1%) | 63 (7.0%) | 0.98 | 1.01 (0.48–2.15) | ||
| | 5 (5.1%) | 48 (5.3%) | 0.91 | 0.95 (0.39–2.33) | ||
| 6 (6.1%) | 43 (4.8%) | 0.57 | 1.27 (0.56–2.91) | |||
| 12 (12.1%) | 47 (5.2%) | 0.006 | 2.32 (1.28–4.23) | 2.71 (1.37–5.38) | 0.004 | |
| 0 (0.0%) | 10 (1.1%) | 0.29 | * | |||
| 1 (1.0%) | 8 (0.9%) | 0.61 | 1.14 (0.14–9.00) | |||
| 17 (17.2%) | 148 (16.4%) | 0.85 | 1.05 (0.66–1.65) | |||
| 16 (16.2%) | 190 (21.1%) | 0.25 | 0.77 (0.48–1.17) | |||
Values are stated as mean ± standard deviation, median [interquartile range] or n (%). Crude analysis by t test for continuous data, Mann–Whitney U test for non-parametric data and Chi Square test for categoric variable, Adjustment made utilizing multivariable binary logistic regression analysis of significant independent variable with adjusted results shown if variable incorporated in the model