OBJECTIVE

To evaluate whether prestroke glucose control is associated with functional outcomes in patients with acute large vessel occlusive stroke and diabetes who underwent intra-arterial thrombectomy (IAT).

RESEARCH DESIGN AND METHODS

From the Clinical Research Center for Stroke–Korea registry, we included patients with emergent large vessel occlusive stroke with diabetes who underwent IAT between January 2009 and March 2020. The association between the HbA1c level at admission and functional outcomes (modified Rankin Scale at 3 months after the index stroke) was assessed.

RESULTS

A total of 1,351 patients were analyzed. Early neurological deterioration was more common in patients with higher levels of HbA1c at admission (P = 0.02 according to HbA1c quintiles, P = 0.003 according to an HbA1c cutoff value of 7.0%) than in those with lower HbA1c levels. Higher HbA1c levels at admission were significantly associated with decreased odds of favorable functional outcomes at a threshold of 7.0–7.1%. The association was consistently observed in subgroups divided according to age, sex, stroke subtype, occlusion site, degree of recanalization, thrombolysis modalities, time from symptom onset to groin puncture, and treatment period.

CONCLUSIONS

Prestroke glucose control with a target HbA1c of ≤7.0% may be beneficial for neurological recovery in patients with diabetes undergoing IAT for large vessel occlusive stroke, regardless of stroke subtype, bridging intravenous thrombolysis, occlusion site, degree of recanalization, and treatment period.

Hyperglycemia during the acute stroke period is associated with infarct progression, symptomatic hemorrhage, and decreased recanalization after recombinant tissue plasminogen activator administration and, thus, results in poor functional outcomes (13). Higher levels of glycated hemoglobin (HbA1c) increase the risk of neurological deterioration, mortality, and poor neurological recovery after ischemic stroke (4). In patients with emergent large vessel occlusive stroke treated with endovascular recanalization therapy, both acute hyperglycemia and higher levels of HbA1c were associated with decreased odds of favorable outcomes (58).

While these studies provided crucial information on the importance of glucose levels in stroke, most of the study populations consisted of patients without diabetes. As a result, the reference group in those studies consisted of a population without diabetes, and the effect of prestroke glucose control on clinical outcomes in patients with diabetes and ischemic stroke, especially in those with acute large vessel occlusive stroke, could not be properly evaluated.

The purpose of this study was to evaluate whether prestroke glucose control, measured by the level of HbA1c at admission, is associated with functional outcomes in patients with acute large vessel occlusive stroke and diabetes after undergoing intra-arterial thrombectomy (IAT). We also evaluated whether the association is different according to each prespecified subgroup.

We analyzed the data of patients in the stroke registry of the Clinical Research Center for Stroke in Korea (CRCS-K). The CRCS-K is a prospective, web-based, multicenter registry of patients with stroke admitted to participating hospitals since 2008. The registry is used for the development of a stroke prevention strategy and stroke recurrence prediction model. Data regarding demographics, vascular risk factors, stroke location and angiographic findings, in-hospital management, etiology workup, laboratory results, and functional outcome were prospectively collected according to a standardized protocol (9). All participating centers obtained approval from their local institutional review boards for data collection.

We included patients with acute large vessel occlusive stroke and diabetes who underwent endovascular recanalization therapy in the participating centers between January 2009 and March 2020. Patients without information on HbA1c at admission and functional outcome at 3 months were excluded.

Postthrombectomy Management of Blood Pressure and Glucose

Treating physicians at the participating centers of the CRCS-K followed guideline recommendations and expert opinion in clinical practice (10,11). Blood pressure (BP) was controlled to be <180/105 mmHg for 24 h after intravenous thrombolysis (IVT). After successful recanalization (thrombolysis in cerebral infarction [TICI] ≥2b) postmechanical thrombectomy, maintaining systolic BP (SBP) <140 or 160 mmHg (this level was chosen per the treating physician’s discretion) was recommended to reduce the risk of reperfusion injury. Maintaining BP <180/105 mmHg was permitted in the event of a failed recanalization to maintain cerebral perfusion through collateral circulation. Blood glucose was controlled with a target between 140 and 180 mg/dL, and hypoglycemia was avoided (<60 mg/dL).

Covariates and Outcomes

The following data were obtained from the registry: 1) age, sex, initial stroke severity, and educational level; 2) vascular risk factors, including history of stroke, coronary heart disease, hypertension, smoking, and atrial fibrillation; 3) stroke subtype according to the Trial of ORG 10172 in Acute Stroke Treatment (TOAST) criteria; 4) laboratory data, including white blood cell (WBC) count, hemoglobin, platelet, total cholesterol, and BP; 5) prior medications, including antiplatelet, anticoagulant, antihypertensive, lipid-lowering, and antidiabetic medications; 6) treatment modalities (IAT alone vs. IAT + IVT), time from symptom onset to groin puncture, endovascular procedure time, and degree of recanalization; and 7) functional outcomes measured by modified Rankin Scale (mRS) score at 3 months and early neurological deterioration (END), including stroke progression and symptomatic hemorrhage. A favorable functional outcome was defined as an mRS of ≤1 (disability free) at 3 months after the index stroke. Various functional outcomes, including mRS of ≤2 (functional independence) and mRS at 3 months after the index stroke, were also used in the analysis. mRS ranges from 0 to 6, with 0 indicating a lack of symptoms, 1 disability free, 2 to 3 needing some help but able to do daily activities, 4 to 5 unable to walk, or bedridden, and 6 death. END was defined as any neurological worsening within 3 weeks of the index stroke. Neurological worsening was defined as 1) an increment of ≥1 on National Institutes of Health Stroke Scale (NIHSS) items 1 (level of consciousness), 5, or 6 (motor) or 2) an increment of ≥2 on the NIHSS total score. Possible causes of END included stroke recurrence, stroke progression, symptomatic hemorrhagic transformation, and other; the detailed definitions of each component are described in a previous publication (9).

The study patients were classified into either five groups according to quintiles of HbA1c at admission (1st quintile ≤6.1% [43 mmol/mol], 2nd quintile >6.1–6.6% [43–49 mmol/mol], 3rd quintile >6.6–7.1% [49–54 mmol/mol], 4th quintile >7.1–7.9% [54–63 mmol/mol], 5th quintile >7.9% [63 mmol/mol]) or two groups according to a prespecified HbA1c cutoff value of 7.0% (≤7.0 vs. >7.0% [53 mmol/mol]). The relationships between the levels of HbA1c and procedure-related outcomes (procedure time and degree of recanalization) or clinical outcomes were evaluated.

Statistical Analysis

For the comparison of baseline characteristics according to HbA1c levels, a χ2 test or Fisher exact test was used for categorical variables, and independent t test or Mann-Whitney U test was used for continuous variables. Multivariable logistic regression analysis was performed to estimate the odds ratios (ORs) and 95% CIs for the association between prestroke glucose control and favorable functional outcomes. HbA1c at admission was entered into the model in quintiles or as a binary variable with a threshold of 7.0% (53 mmol/mol).

A sequential regression multiple imputation method was used to impute missing values, assuming missing at random as the missing mechanism. The following were chosen as the variables affecting an occurrence of missingness: age, sex, initial NIHSS, education level, prior mRS, HbA1c, stroke subtype, smoking status, risk factors (history of stroke, history of hypertension, and history of atrial fibrillation), laboratory findings (WBC, hemoglobin, platelet, total cholesterol, LDL, HDL, triglycerides, fasting serum glucose, and blood urea nitrogen), initial BP (SBP and diastolic BP), prior medication (antithrombotics, antihypertensives, lipid-lowering agents, and antidiabetic medications), occlusion site, onset to groin puncture time, degree of recanalization, procedure time, treatment modalities, and mRS at the 3rd month. The results were obtained from imputed data with 10 iterations to achieve convergence. The goodness-of-fit was evaluated using the Hosmer-Lemeshow test. Multiplicative interaction analyses were performed to evaluate the heterogeneity of the HbA1c level with reference to functional outcomes between each prespecified subgroup; the subgroups included age (<80, ≥80 years), sex, stroke subtype (large artery atherosclerosis, cardioembolism, other), occlusion site (anterior circulation, posterior circulation), degree of recanalization (TICI ≤2a, TICI ≥2b), thrombolysis modalities (IAT only, IAT + IVT), time from symptom onset to groin puncture (≤360 min, >360 min), and treatment period (before 2015, after 2015). All statistical analyses were performed using Stata 13.0 software (StataCorp, College Station, TX). All tests were two-sided, and P < 0.05 was considered significant.

Among 26,646 patients with acute ischemic stroke and diabetes who visited the participating centers, 1,534 (5.8%) underwent IAT; of these, 60 patients without data on HbA1c at admission and 123 without functional outcome data were excluded. As a result, 1,351 patients were included in the analysis. The median age of the patients was 72.0 years (65.0–78.0), and 777 (57.5%) were men. Overall, the patients had a median (interquartile range) NIHSS score of 14.0 (9.0–18.0), and the mean ± SD HbA1c was 7.1 ± 1.4. The proportions of patients with a current smoker, quitter, and nonsmoker status were 20.1%, 13.8%, and 66.1%, respectively. The proportion of patients with diabetes diagnosed at admission was 184 (13.6%). Table 1 summarizes the baseline characteristics and variables of the patients according to HbA1c levels at admission. Generally, patients with higher HbA1c levels at admission were significantly younger and included a lower proportion of men than those with lower levels of HbA1c. Atrial fibrillation and hypertension were less prevalent among patients with a high HbA1c level. Patients with higher HbA1c had a higher prevalence of large artery atherosclerosis and a lower prevalence of cardioembolism.

Table 1

Baseline characteristics of the patients according to HbA1c quintiles and a cutoff value of 7.0%

HbA1c quintileHbA1c cutoff
Total1st (≤6.1%)2nd (>6.1–6.6%)3rd (>6.6–7.1%)4th (>7.1–7.9%)5th (>7.9%)P value≤7.0%>7.0%P value
Patients, n 1,351 305 281 244 259 262  796 555  
Age (years) 72 (65–78) 76 (67– 80) 73 (66–78) 72 (65–78) 72 (65–77) 68 (60–75) <0.001 74 (66–79) 70 (62–77) <0.001 
Male sex 777 (57.5) 148 (48.5) 168 (59.8) 140 (57.4) 156 (60.2) 165 (63.0) 0.005 434 (54.5) 343 (61.8) 0.008 
Initial NIHSS 14 (9–18) 14 (10–18) 15 (10–19) 14 (9–18) 13 (8–18) 13 (8–18) 0.077 14 (10–18) 13 (8–18) <0.001 
Premorbid mRS 0–1 1,133 (83.9) 240 (78.7) 245 (87.2) 211 (86.5) 224 (86.5) 213 (81.3) 0.016 667 (83.8) 466 (84.0) 0.933 
Education level (years)       0.034   <0.001 
 0 147 (10.9) 44 (14.4) 34 (12.1) 34 (13.9) 18 (6.9) 17 (6.5)  112 (14.1) 35 (6.3)  
 ≤12 (high school) 1,027 (76.0) 223 (73.1) 211 (75.1) 178 (73.0) 203 (78.4) 212 (80.9)  581 (73.0) 446 (80.4)  
 >12 (university) 177 (13.1) 38 (12.5) 36 (12.8) 32 (13.1) 38 (14.7) 33 (12.6)  103 (12.9) 74 (13.3)  
Risk factor           
 Previous stroke 298 (22.1) 77 (25.2) 66 (23.5) 56 (23.0) 56 (21.6) 43 (16.4) 0.129 194 (24.4) 104 (18.7) 0.014 
 Coronary heart disease 212 (15.7) 42 (13.8) 52 (18.5) 32 (13.1) 45 (17.4) 41 (15.6) 0.365 123 (15.5) 89 (16.0) 0.772 
 Hypertension 1,070 (79.2) 258 (84.6) 230 (81.9) 193 (79.1) 199 (76.8) 190 (72.5) 0.006 656 (82.4) 414 (74.6) <0.001 
 Smoking       0.016   <0.001 
  No 893 (66.1) 215 (70.5) 188 (66.9) 158 (64.8) 161 (62.2) 171 (65.3)  543 (68.2) 350 (63.1)  
  Current 272 (20.1) 42 (13.8) 50 (17.8) 50 (20.5) 66 (25.5) 64 (24.4)  132 (16.6) 140 (25.2)  
  Quit 186 (13.8) 48 (15.7) 43 (15.3) 36 (14.8) 32 (12.4) 27 (10.3)  121 (15.2) 65 (11.7)  
 Atrial fibrillation 647 (47.9) 152 (49.8) 155 (55.2) 124 (50.8) 128 (49.4) 88 (33.6) <0.001 414 (52.0) 233 (42.0) <0.001 
 Diabetes diagnosed at  admission 184 (13.6) 32 (10.5) 46 (16.4) 44 (18.0) 29 (11.2) 33 (12.6) 0.04 113 (14.2) 71 (12.8) 0.46 
Occlusion site       0.151   0.046 
 Anterior circulation 1,176 (87.0) 271 (88.9) 251 (89.3) 215 (88.1) 215 (83.0) 224 (85.5)  705 (88.6) 471 (84.9)  
 Posterior circulation 175 (13.0) 34 (11.1) 30 (10.7) 29 (11.9) 44 (17.0) 38 (14.5)  91 (11.4) 84 (15.1)  
TOAST criteria       0.003   0.001 
 LAD 383 (28.3) 82 (26.9) 68 (24.2) 68 (27.9) 68 (26.3) 97 (37.0)  210 (26.4) 173 (31.2)  
 CE 655 (48.5) 158 (51.8) 154 (54.8) 124 (50.8) 116 (44.8) 103 (39.3)  419 (52.6) 236 (42.5)  
 Others 313 (23.2) 65 (21.3) 59 (21.0) 52 (21.3) 75 (29.0) 62 (23.7)  167 (21.0) 146 (26.3)  
Laboratory findings           
 WBC count (×109/L) 8 (7–11) 8 (6–10) 8 (6–10) 9 (7–11) 9 (7–11) 9 (7–11) <0.001 8 (6–10) 9 (7–11) <0.001 
 Hemoglobin (mg/dL) 13 (12–15) 13 (12–14) 13 (12–15) 13 (12–15) 13 (12–15) 14 (13–15) <0.001 13 (12–15) 14 (12–15) <0.001 
 Platelets (×109/L) 212 (172–258) 211 (168–261) 210 (172–249) 211 (169–257) 213 (167–263) 216 (183–261) 0.410 211 (169–254) 214 (176–263) 0.013 
 Total cholesterol (mg/dL) 151 (128–182) 149 (124–179) 148 (129–177) 149 (123–176) 152 (130–176) 163 (131–204) <0.001 149 (126–177) 156 (131–192) <0.001 
 LDL (mg/dL) 90 (69–116) 87 (69–114) 88 (68–113) 87 (66–112) 90 (69–109) 99 (73–133) <0.001 87 (68–112) 95 (71–123) <0.001 
 HDL (mg/dL) 42 (35–50) 42 (36–51) 43 (34–51) 42 (35–49) 43 (35–51) 42 (35–49) 0.699 42 (35–50) 42 (35–50) 0.938 
 Triglycerides (mg/dL) 102 (73–149) 96 (69–131) 101 (71–150) 103 (75–145) 102 (75–151) 114 (83–172) <0.001 97 (71–137) 108 (80–162) <0.001 
 Fasting glucose (mg/dL) 149 (119–193) 123 (105–147) 141 (116–172) 148 (123–182) 164 (127–207) 203 (158–256) <0.001 134 (112–165) 182 (140–225) <0.001 
Initial BP           
 SBP (mmHg) 142 (127–161) 140 (121–159) 145 (127–163) 145 (130–160) 148 (128–163) 144 (124–163) 0.026 140 (125–160) 146 (128–163) 0.011 
 DBP (mmHg) 80 (70–90) 80 (69–90) 80 (70–90) 80 (73–90) 81 (73–96) 81 (72–93) 0.002 80 (70– 90) 81 (72–94) <0.001 
IVT + IAT 628 (46.5) 128 (42.0) 131 (46.6) 122 (50.0) 128 (49.4) 119 (45.4) 0.316 362 (45.5) 266 (47.9) 0.374 
Time from symptom onset to groin puncture (min) 275 (178–551) 270 (165–550) 260 (168–540) 267 (177–560) 287 (185–525) 290 (185–604) 0.631 265 (170–547) 288 (187–570) 0.011 
 Prior medication           
 Antiplatelet 445 (32.9) 113 (37.0) 92 (32.7) 89 (36.5) 79 (30.5) 72 (27.5) 0.093 285 (35.8) 160 (28.8) 0.007 
 Anticoagulant 160 (11.8) 43 (14.1) 41 (14.6) 26 (10.7) 24 (9.3) 26 (9.9) 0.170 107 (13.4) 53 (9.5) 0.029 
 Antihypertension 898 (66.5) 223 (73.1) 200 (71.2) 159 (65.2) 160 (61.8) 156 (59.5) 0.002 562 (70.6) 336 (60.5) <0.001 
 Lipid-lowering agent 440 (32.6) 95 (31.2) 107 (38.1) 78 (32.0) 93 (35.9) 67 (25.6) 0.023 273 (34.3) 167 (30.1) 0.105 
 Antidiabetic 929 (68.8) 213 (69.8) 178 (63.3) 163 (66.8) 189 (73.0) 186 (71.0) 0.127 536 (67.3) 393 (70.8) 0.175 
HbA1c quintileHbA1c cutoff
Total1st (≤6.1%)2nd (>6.1–6.6%)3rd (>6.6–7.1%)4th (>7.1–7.9%)5th (>7.9%)P value≤7.0%>7.0%P value
Patients, n 1,351 305 281 244 259 262  796 555  
Age (years) 72 (65–78) 76 (67– 80) 73 (66–78) 72 (65–78) 72 (65–77) 68 (60–75) <0.001 74 (66–79) 70 (62–77) <0.001 
Male sex 777 (57.5) 148 (48.5) 168 (59.8) 140 (57.4) 156 (60.2) 165 (63.0) 0.005 434 (54.5) 343 (61.8) 0.008 
Initial NIHSS 14 (9–18) 14 (10–18) 15 (10–19) 14 (9–18) 13 (8–18) 13 (8–18) 0.077 14 (10–18) 13 (8–18) <0.001 
Premorbid mRS 0–1 1,133 (83.9) 240 (78.7) 245 (87.2) 211 (86.5) 224 (86.5) 213 (81.3) 0.016 667 (83.8) 466 (84.0) 0.933 
Education level (years)       0.034   <0.001 
 0 147 (10.9) 44 (14.4) 34 (12.1) 34 (13.9) 18 (6.9) 17 (6.5)  112 (14.1) 35 (6.3)  
 ≤12 (high school) 1,027 (76.0) 223 (73.1) 211 (75.1) 178 (73.0) 203 (78.4) 212 (80.9)  581 (73.0) 446 (80.4)  
 >12 (university) 177 (13.1) 38 (12.5) 36 (12.8) 32 (13.1) 38 (14.7) 33 (12.6)  103 (12.9) 74 (13.3)  
Risk factor           
 Previous stroke 298 (22.1) 77 (25.2) 66 (23.5) 56 (23.0) 56 (21.6) 43 (16.4) 0.129 194 (24.4) 104 (18.7) 0.014 
 Coronary heart disease 212 (15.7) 42 (13.8) 52 (18.5) 32 (13.1) 45 (17.4) 41 (15.6) 0.365 123 (15.5) 89 (16.0) 0.772 
 Hypertension 1,070 (79.2) 258 (84.6) 230 (81.9) 193 (79.1) 199 (76.8) 190 (72.5) 0.006 656 (82.4) 414 (74.6) <0.001 
 Smoking       0.016   <0.001 
  No 893 (66.1) 215 (70.5) 188 (66.9) 158 (64.8) 161 (62.2) 171 (65.3)  543 (68.2) 350 (63.1)  
  Current 272 (20.1) 42 (13.8) 50 (17.8) 50 (20.5) 66 (25.5) 64 (24.4)  132 (16.6) 140 (25.2)  
  Quit 186 (13.8) 48 (15.7) 43 (15.3) 36 (14.8) 32 (12.4) 27 (10.3)  121 (15.2) 65 (11.7)  
 Atrial fibrillation 647 (47.9) 152 (49.8) 155 (55.2) 124 (50.8) 128 (49.4) 88 (33.6) <0.001 414 (52.0) 233 (42.0) <0.001 
 Diabetes diagnosed at  admission 184 (13.6) 32 (10.5) 46 (16.4) 44 (18.0) 29 (11.2) 33 (12.6) 0.04 113 (14.2) 71 (12.8) 0.46 
Occlusion site       0.151   0.046 
 Anterior circulation 1,176 (87.0) 271 (88.9) 251 (89.3) 215 (88.1) 215 (83.0) 224 (85.5)  705 (88.6) 471 (84.9)  
 Posterior circulation 175 (13.0) 34 (11.1) 30 (10.7) 29 (11.9) 44 (17.0) 38 (14.5)  91 (11.4) 84 (15.1)  
TOAST criteria       0.003   0.001 
 LAD 383 (28.3) 82 (26.9) 68 (24.2) 68 (27.9) 68 (26.3) 97 (37.0)  210 (26.4) 173 (31.2)  
 CE 655 (48.5) 158 (51.8) 154 (54.8) 124 (50.8) 116 (44.8) 103 (39.3)  419 (52.6) 236 (42.5)  
 Others 313 (23.2) 65 (21.3) 59 (21.0) 52 (21.3) 75 (29.0) 62 (23.7)  167 (21.0) 146 (26.3)  
Laboratory findings           
 WBC count (×109/L) 8 (7–11) 8 (6–10) 8 (6–10) 9 (7–11) 9 (7–11) 9 (7–11) <0.001 8 (6–10) 9 (7–11) <0.001 
 Hemoglobin (mg/dL) 13 (12–15) 13 (12–14) 13 (12–15) 13 (12–15) 13 (12–15) 14 (13–15) <0.001 13 (12–15) 14 (12–15) <0.001 
 Platelets (×109/L) 212 (172–258) 211 (168–261) 210 (172–249) 211 (169–257) 213 (167–263) 216 (183–261) 0.410 211 (169–254) 214 (176–263) 0.013 
 Total cholesterol (mg/dL) 151 (128–182) 149 (124–179) 148 (129–177) 149 (123–176) 152 (130–176) 163 (131–204) <0.001 149 (126–177) 156 (131–192) <0.001 
 LDL (mg/dL) 90 (69–116) 87 (69–114) 88 (68–113) 87 (66–112) 90 (69–109) 99 (73–133) <0.001 87 (68–112) 95 (71–123) <0.001 
 HDL (mg/dL) 42 (35–50) 42 (36–51) 43 (34–51) 42 (35–49) 43 (35–51) 42 (35–49) 0.699 42 (35–50) 42 (35–50) 0.938 
 Triglycerides (mg/dL) 102 (73–149) 96 (69–131) 101 (71–150) 103 (75–145) 102 (75–151) 114 (83–172) <0.001 97 (71–137) 108 (80–162) <0.001 
 Fasting glucose (mg/dL) 149 (119–193) 123 (105–147) 141 (116–172) 148 (123–182) 164 (127–207) 203 (158–256) <0.001 134 (112–165) 182 (140–225) <0.001 
Initial BP           
 SBP (mmHg) 142 (127–161) 140 (121–159) 145 (127–163) 145 (130–160) 148 (128–163) 144 (124–163) 0.026 140 (125–160) 146 (128–163) 0.011 
 DBP (mmHg) 80 (70–90) 80 (69–90) 80 (70–90) 80 (73–90) 81 (73–96) 81 (72–93) 0.002 80 (70– 90) 81 (72–94) <0.001 
IVT + IAT 628 (46.5) 128 (42.0) 131 (46.6) 122 (50.0) 128 (49.4) 119 (45.4) 0.316 362 (45.5) 266 (47.9) 0.374 
Time from symptom onset to groin puncture (min) 275 (178–551) 270 (165–550) 260 (168–540) 267 (177–560) 287 (185–525) 290 (185–604) 0.631 265 (170–547) 288 (187–570) 0.011 
 Prior medication           
 Antiplatelet 445 (32.9) 113 (37.0) 92 (32.7) 89 (36.5) 79 (30.5) 72 (27.5) 0.093 285 (35.8) 160 (28.8) 0.007 
 Anticoagulant 160 (11.8) 43 (14.1) 41 (14.6) 26 (10.7) 24 (9.3) 26 (9.9) 0.170 107 (13.4) 53 (9.5) 0.029 
 Antihypertension 898 (66.5) 223 (73.1) 200 (71.2) 159 (65.2) 160 (61.8) 156 (59.5) 0.002 562 (70.6) 336 (60.5) <0.001 
 Lipid-lowering agent 440 (32.6) 95 (31.2) 107 (38.1) 78 (32.0) 93 (35.9) 67 (25.6) 0.023 273 (34.3) 167 (30.1) 0.105 
 Antidiabetic 929 (68.8) 213 (69.8) 178 (63.3) 163 (66.8) 189 (73.0) 186 (71.0) 0.127 536 (67.3) 393 (70.8) 0.175 

Data are n (%) or median (interquartile range) unless otherwise indicated. P values by χ2 test, Kruskal-Wallis test, and Wilcoxon rank sum test. CE, cardioembolism; DBP, diastolic blood pressure; LAD, large artery disease.

Table 2 shows the prevalence of END and differences in functional outcomes according to HbA1c levels. END was more prevalent in patients with higher HbA1c levels (P = 0.02 according to quintiles, P = 0.003 according to the cutoff value). The proportion of patients with symptomatic hemorrhage was significantly higher in those with higher quintiles of HbA1c (P = 0.033), and stroke progression was more commonly found in patients with HbA1c >7.0% than in those with HbA1c ≤7.0% (20.2 vs. 15.5%, P = 0.029). The proportion of patients with mRS ≤1 was significantly lower among patients with higher HbA1c (P = 0.006 according to quintiles, P = 0.007 according to the cutoff value).

Table 2

END occurrence and functional outcomes according to HbA1c quintiles and a cutoff value of 7.0%

HbA1c quintilesHbA1c cutoff
Total1st (≤6.1%)2nd (>6.1–6.6%)3rd (>6.6–7.1%)4th (>7.1–7.9%)5th (>7.9%)P value≤7.0%>7.0%P value
Patients, n 1,351 305 281 244 259 262  796 555  
END 360 (26.6) 61 (20.0) 76 (27.0) 63 (25.8) 82 (31.7) 78 (29.8) 0.02 188 (23.6) 172 (31.0) 0.003 
Stroke progression 235 (17.4) 43 (14.1) 43 (15.3) 46 (18.9) 56 (21.6) 47 (17.9) 0.15 123 (15.5) 112 (20.2) 0.029 
Symptomatic hemorrhage 80 (5.9) 9 (3.0) 22 (7.8) 11 (4.5) 16 (6.2) 22 (8.4) 0.033 39 (4.9) 41 (7.4) 0.074 
mRS ≤1 288 (21.3) 55 (18.0) 77 (27.4) 62 (25.4) 44 (17.0) 50 (19.1) 0.006 190 (23.9) 98 (17.7) 0.007 
mRS ≤2 448 (33.2) 95 (31.1) 99 (35.2) 90 (36.9) 88 (34.0) 76 (29.0) 0.31 278 (34.9) 170 (30.6) 0.11 
HbA1c quintilesHbA1c cutoff
Total1st (≤6.1%)2nd (>6.1–6.6%)3rd (>6.6–7.1%)4th (>7.1–7.9%)5th (>7.9%)P value≤7.0%>7.0%P value
Patients, n 1,351 305 281 244 259 262  796 555  
END 360 (26.6) 61 (20.0) 76 (27.0) 63 (25.8) 82 (31.7) 78 (29.8) 0.02 188 (23.6) 172 (31.0) 0.003 
Stroke progression 235 (17.4) 43 (14.1) 43 (15.3) 46 (18.9) 56 (21.6) 47 (17.9) 0.15 123 (15.5) 112 (20.2) 0.029 
Symptomatic hemorrhage 80 (5.9) 9 (3.0) 22 (7.8) 11 (4.5) 16 (6.2) 22 (8.4) 0.033 39 (4.9) 41 (7.4) 0.074 
mRS ≤1 288 (21.3) 55 (18.0) 77 (27.4) 62 (25.4) 44 (17.0) 50 (19.1) 0.006 190 (23.9) 98 (17.7) 0.007 
mRS ≤2 448 (33.2) 95 (31.1) 99 (35.2) 90 (36.9) 88 (34.0) 76 (29.0) 0.31 278 (34.9) 170 (30.6) 0.11 

Data are n (%) unless otherwise indicated. P values by χ2 test.

Table 3 shows procedure-related outcomes according to HbA1c levels. While endovascular procedure time was longer in patients with higher HbA1c (P = 0.017 according to quintiles, P = 0.005 according to the cutoff value), the degree of recanalization was not significantly different according to the HbA1c level.

Table 3

Procedure time and recanalization degree according to HbA1c quintiles and a cutoff value of 7.0%

HbA1c quintilesHbA1c cutoff
Total1st (≤6.1%)2nd (>6.1–6.6%)3rd (>6.6–7.1%)4th (>7.1–7.9%)5th (>7.9%)P value≤7.0%>7.0%P value
Patients, n 1,351 305 281 244 259 262  796 555  
Procedure time (min) 45 (27–74) 46.5 (28–80) 40 (22–70) 40.0 (26–8.5) 51.0 (35–0) 45 (28–4) 0.017 43 (25–70.5) 48 (30–8.0) 0.005 
Successful recanalization (TICI ≥2b) 1,064 (78.8) 241 (79.0) 225 (80.1) 189 (77.5) 199 (76.8) 210 (80.2) 0.840 630 (79.1) 434 (78.2) 0.675 
Incomplete 287 (21.2) 64 (21.0) 56 (19.9) 55 (22.5) 60 (23.2) 52 (19.8) 0.833 166 (20.9) 121 (21.8) 0.731 
TICI 2b 421 (31.2) 104 (34.1) 82 (29.2) 70 (28.7) 80 (30.9) 85 (32.4)  244 (30.7) 177 (31.9)  
TICI 3 643 (47.6) 137 (44.9) 143 (50.9) 119 (48.8) 119 (45.9) 125 (47.7)  386 (48.5) 257 (46.3)  
HbA1c quintilesHbA1c cutoff
Total1st (≤6.1%)2nd (>6.1–6.6%)3rd (>6.6–7.1%)4th (>7.1–7.9%)5th (>7.9%)P value≤7.0%>7.0%P value
Patients, n 1,351 305 281 244 259 262  796 555  
Procedure time (min) 45 (27–74) 46.5 (28–80) 40 (22–70) 40.0 (26–8.5) 51.0 (35–0) 45 (28–4) 0.017 43 (25–70.5) 48 (30–8.0) 0.005 
Successful recanalization (TICI ≥2b) 1,064 (78.8) 241 (79.0) 225 (80.1) 189 (77.5) 199 (76.8) 210 (80.2) 0.840 630 (79.1) 434 (78.2) 0.675 
Incomplete 287 (21.2) 64 (21.0) 56 (19.9) 55 (22.5) 60 (23.2) 52 (19.8) 0.833 166 (20.9) 121 (21.8) 0.731 
TICI 2b 421 (31.2) 104 (34.1) 82 (29.2) 70 (28.7) 80 (30.9) 85 (32.4)  244 (30.7) 177 (31.9)  
TICI 3 643 (47.6) 137 (44.9) 143 (50.9) 119 (48.8) 119 (45.9) 125 (47.7)  386 (48.5) 257 (46.3)  

Data are n (%) or median (interquartile range) unless otherwise indicated. P values by χ2 test, Kruskal-Wallis test, and Wilcoxon rank sum test.

Table 4 shows the associations between HbA1c levels at admission and functional outcomes at 3 months. Compared with those in the 2nd quintile (>6.1–6.6% [43–49 mmol/mol]), patients in the 4th quintile (>7.1–7.9% [54–63 mmol/mol]) and 5th quintile (>7.9% [63 mmol/mol]) had a significantly lower probability of achieving the favorable functional outcome of mRS ≤1 after multivariable adjustment (model 2: 4th quintile OR 0.40 [95% CI 0.26, 0.63], 5th quintile 0.43 [0.28, 0.68]; model 3: 4th quintile 0.43 [0.27, 0.68], 5th quintile 0.47 [0.29, 0.75]). The probability of achieving the favorable outcome of mRS ≤1 was also significantly lower in the 1st quintile group (model 2: 0.56 [0.37, 0.85]; model 3: 0.59 [0.38, 0.91]). When HbA1c was used as a binary variable, the probability of achieving a favorable outcome was also significantly lower in those with HbA1c >7.0% (53 mmol/mol) compared with those with HbA1c ≤7.0% (model 2: 0.51 [0.38, 0.69]; model 3: 0.53 [0.39, 0.72]). The analysis using patients with complete data is presented in Supplementary Table 1.

Table 4

Associations between HbA1c levels at admission and functional outcome at 3 months

OR (95% CI)Common OR (95% CI)
mRS 0–1 at 3 monthsmRS 0–2 at 3 monthsmRS at 3 months
HbA1c levelModel 1Model 2Model 3Model 1Model 2Model 3Model 1Model 2Model 3
Quintile          
 1st (≤6.1%) 0.58 (0.39, 0.86) 0.56 (0.37, 0.85) 0.59 (0.38, 0.91) 0.83 (0.59, 1.17) 0.83 (0.57, 1.21) 0.87 (0.58, 1.29) 0.86 (0.64, 1.14) 0.86 (0.64, 1.15) 0.91 (0.68, 1.23) 
 2nd (>6.1–6.6%) 1 (Ref) 1 (Ref) 1 (Ref) 1 (Ref) 1 (Ref) 1 (Ref) 1 (Ref) 1 (Ref) 1 (Ref) 
 3rd (>6.6–7.1%) 0.90 (0.61, 1.33) 0.80 (0.52, 1.21) 0.84 (0.54, 1.31) 1.07 (0.75, 1.54) 0.97 (0.65, 1.43) 1.05 (0.69, 1.58) 1.05 (0.78, 1.42) 0.94 (0.69, 1.27) 0.99 (0.73, 1.35) 
 4th (>7.1–7.9%) 0.54 (0.36, 0.82) 0.40 (0.26, 0.63) 0.43 (0.27, 0.68) 0.95 (0.66, 1.35) 0.73 (0.49, 1.08) 0.81 (0.54, 1.22) 0.82 (0.61, 1.11) 0.63 (0.47, 0.85) 0.67 (0.49, 0.91) 
 5th (>7.9%) 0.62 (0.42, 0.94) 0.43 (0.28, 0.68) 0.47 (0.29, 0.75) 0.75 (0.52, 1.08) 0.49 (0.33, 0.73) 0.54 (0.35, 0.82) 0.79 (0.59, 1.06) 0.55 (0.41, 0.75) 0.59 (0.43, 0.80) 
P value for overall effect 0.0069 <0.0001 0.0007 0.3159 0.0049 0.0218 0.2674 0.0002 0.0008 
Cutoff          
 ≤7.0% 1 (Ref) 1 (Ref) 1 (Ref) 1 (Ref) 1 (Ref) 1 (Ref) 1 (Ref) 1 (Ref) 1 (Ref) 
 >7.0% 0.68 (0.52, 0.90) 0.51 (0.38, 0.69) 0.53 (0.39, 0.72) 0.82 (0.65, 1.04) 0.60 (0.46, 0.77) 0.63 (0.48, 0.83) 0.82 (0.67, 0.99) 0.62 (0.51, 0.75) 0.63 (0.52, 0.78) 
P value for overall effect 0.0063 <0.0001 <0.0001 0.0993 0.0001 0.0008 0.0361 <0.0001 <0.0001 
OR (95% CI)Common OR (95% CI)
mRS 0–1 at 3 monthsmRS 0–2 at 3 monthsmRS at 3 months
HbA1c levelModel 1Model 2Model 3Model 1Model 2Model 3Model 1Model 2Model 3
Quintile          
 1st (≤6.1%) 0.58 (0.39, 0.86) 0.56 (0.37, 0.85) 0.59 (0.38, 0.91) 0.83 (0.59, 1.17) 0.83 (0.57, 1.21) 0.87 (0.58, 1.29) 0.86 (0.64, 1.14) 0.86 (0.64, 1.15) 0.91 (0.68, 1.23) 
 2nd (>6.1–6.6%) 1 (Ref) 1 (Ref) 1 (Ref) 1 (Ref) 1 (Ref) 1 (Ref) 1 (Ref) 1 (Ref) 1 (Ref) 
 3rd (>6.6–7.1%) 0.90 (0.61, 1.33) 0.80 (0.52, 1.21) 0.84 (0.54, 1.31) 1.07 (0.75, 1.54) 0.97 (0.65, 1.43) 1.05 (0.69, 1.58) 1.05 (0.78, 1.42) 0.94 (0.69, 1.27) 0.99 (0.73, 1.35) 
 4th (>7.1–7.9%) 0.54 (0.36, 0.82) 0.40 (0.26, 0.63) 0.43 (0.27, 0.68) 0.95 (0.66, 1.35) 0.73 (0.49, 1.08) 0.81 (0.54, 1.22) 0.82 (0.61, 1.11) 0.63 (0.47, 0.85) 0.67 (0.49, 0.91) 
 5th (>7.9%) 0.62 (0.42, 0.94) 0.43 (0.28, 0.68) 0.47 (0.29, 0.75) 0.75 (0.52, 1.08) 0.49 (0.33, 0.73) 0.54 (0.35, 0.82) 0.79 (0.59, 1.06) 0.55 (0.41, 0.75) 0.59 (0.43, 0.80) 
P value for overall effect 0.0069 <0.0001 0.0007 0.3159 0.0049 0.0218 0.2674 0.0002 0.0008 
Cutoff          
 ≤7.0% 1 (Ref) 1 (Ref) 1 (Ref) 1 (Ref) 1 (Ref) 1 (Ref) 1 (Ref) 1 (Ref) 1 (Ref) 
 >7.0% 0.68 (0.52, 0.90) 0.51 (0.38, 0.69) 0.53 (0.39, 0.72) 0.82 (0.65, 1.04) 0.60 (0.46, 0.77) 0.63 (0.48, 0.83) 0.82 (0.67, 0.99) 0.62 (0.51, 0.75) 0.63 (0.52, 0.78) 
P value for overall effect 0.0063 <0.0001 <0.0001 0.0993 0.0001 0.0008 0.0361 <0.0001 <0.0001 

Model 1, unadjusted. Model 2, adjusted for age, sex, initial NIHSS, education level. Model 3, adjusted for age, sex, initial NIHSS, education level, ischemic stroke subtype, smoking status, history of hypertension, occlusion site, hemoglobin, total cholesterol, onset to groin puncture time, and degree of recanalization. Ref, reference.

The associations among HbA1c at admission, achievement of functional independence (mRS ≤2), and a favorable shift in mRS (ordinal) were also evaluated. Multivariable models 2 and 3 showed a significantly lower probability of achieving functional independence per mRS ≤2 in the 5th quintile (as quintiles) and HbA1c >7.0% (53 mmol/mol) (as a cutoff value). The probability of achieving a favorable shift in mRS was significantly lower in the 4th and 5th quintiles (as quintiles) and HbA1c >7.0% (53 mmol/mol) (as a cut-off value). Sensitivity analysis after excluding premorbid neurological disability (premorbid mRS >1) showed consistent results, with higher HbA1c levels being associated with poorer functional outcomes (Supplementary Table 2).

Figure 1 shows that the influence of prestroke glucose control (≤7.0 vs. >7.0% [53 mmol/mol]) on favorable functional outcomes was consistently observed according to prespecified subgroups, including age, sex, stroke subtype, occlusion site, degree of recanalization, thrombolysis modalities, time from symptom onset to groin puncture, and treatment period. According to the treatment modalities, such as whether bridging therapy with IVT was performed, there was no significant heterogeneity between higher HbA1c and decreased odds of favorable outcomes (IAT only: OR 0.56 [95% CI 0.36, 0.87]; IVT + IAT: 0.47 [0.31, 0.73]; P for interaction = 0.586). The subgroup analyses did not reveal any significant HbA1c effect modification of occlusion site (anterior circulation: 0.51 [0.37, 0.71]; posterior circulation: 0.67 [0.26, 1.73]; P for interaction = 0.594) and treatment period (before 2015: 0.37 [0.20, 0.69]; after 2015: 0.59 [0.41, 0.84]; P for interaction = 0.203). The association between prestroke glucose control and various neurological outcomes (mRS 0–2, ordinal mRS) was still consistent according to each prespecified subgroup (Supplementary Table 3).

Figure 1

Influence of prestroke glucose control on neurological outcomes according to age, sex, stroke subtype, occlusion site, recanalization degree, thrombolysis modalities, time from symptom onset to groin puncture, and treatment period. CE, cardioembolism; LAD, large artery disease.

Figure 1

Influence of prestroke glucose control on neurological outcomes according to age, sex, stroke subtype, occlusion site, recanalization degree, thrombolysis modalities, time from symptom onset to groin puncture, and treatment period. CE, cardioembolism; LAD, large artery disease.

Close modal

Our current study showed that prestroke glucose control was associated with functional outcomes in patients with emergent large vessel occlusive stroke and diabetes who underwent IAT. Specifically, high levels of HbA1c at admission were significantly associated with a decreased odds of good functional recovery regardless of the stroke subtype, occlusion site, degree of recanalization, thrombolysis modality, time from symptom onset to groin puncture, and treatment period. Prior studies reported the association between high HbA1c and poor functional outcomes in acute ischemic stroke after endovascular thrombectomy (7,8). However, patients without diabetes were more frequently included, and HbA1c levels were relatively lower in those studies. In the study by Choi et al. (7), the proportion of patients with diabetes was 37.7% with a mean HbA1c level of 6.2% (44 mmol/mol). According to the most recent study by Diprose et al. (8), the proportion of patients with diabetes was 21.1%, with a median HbA1c level of 5.7% (39 mmol/mol). Compared with prior studies, the current study had the highest mean HbA1c level of 7.1% (54 mmol/mol), a higher rate of symptomatic hemorrhage (5.9% in the current study, 5.4% reported by Choi et al., and 4.5% reported by Diprose et al.) and a lower proportion of subjects achieving mRS 0–1 (21.3% in the current study and 24.7% reported by Choi et al.) and mRS 0–2 (33.2% in the current study, 37.6% reported by Choi et al., and 59.2% reported by Diprose et al.) at 3 months. The strong point of the current study is that the study population was confined to patients with diabetes who were enrolled from multiple participating centers, which enabled the evaluation of prestroke glucose control on clinical outcomes.

Our current study showed that higher HbA1c at admission was associated with factors associated with poor clinical outcomes, such as the occurrence of END, longer procedure time, and high levels of serum cholesterol, LDL, and fasting glucose. END was more common in patients with poor prestroke glucose control. The causes of END in acute ischemic stroke include stroke progression, stroke recurrence, and reperfusion injury (12). Several mechanisms are suggested to explain the harmful effects of hyperglycemia on ischemic stroke outcomes via END. Hyperglycemia induces the evolution of an infarct by inhibiting vasodilation after recanalization therapy (13). Hyperglycemia stimulates the release of thromboxane A2 and inhibits the production of endothelium-derived nitric oxide, both of which result in vasoconstriction (14,15). Hyperglycemia aggravates reperfusion injuries by increasing the production of reactive oxygen species (ROS), proinflammatory cytokines, and lactic acid (13). ROS-related oxidative stress and proinflammatory cytokines promote inflammatory cell infiltration to the vascular endothelium and breakdown of the blood-brain barrier and lead to symptomatic intracerebral hemorrhage and cerebral edema in ischemic brain tissues (16,17). Anaerobic glycolysis increases intracellular lactate accumulation and acidosis (18). Endovascular procedure time was longer in patients with higher levels of HbA1c, which may have been related to the deleterious effect of hyperglycemia on the inhibition of recanalization via the stimulation of coagulation and a reduction in both endogenous fibrinolytic activity and the activity of the administered recombinant tissue plasminogen activator (19,20). Considering that intracranial atherosclerosis-related large vessel occlusion usually requires a longer procedure time and rescue therapy (21,22), the higher proportion of large artery atherosclerosis in the poor prestroke glucose control group may explain the longer procedure time. Patients with poor prestroke glucose control had significantly higher total cholesterol, LDL, and fasting glucose, and these metabolic derangements may also have deleterious effects on functional recovery.

Contrary to prior studies that reported that the influence of high HbA1c on functional recovery was more prominent among the subgroup of patients with complete recanalization (7), our study showed that such an effect of high HbA1c was consistent among all the patients, regardless of the degree of recanalization. Previous studies showed that hyperglycemia at admission is inversely correlated with neurological improvement only in the patients receiving early recanalization, which implies that the detrimental effect of glucose depends on the occurrence of recanalization and the extent of penumbra tissue (23,24). Neurotoxicity induced by hyperglycemia in the acute phase may exacerbate the reperfusion injury. However, the accumulation of microvascular damage, impaired oxygenation, lactate, and intracellular acidosis and the decrement of cerebrovascular blood flow induced by chronic hyperglycemia may make the brain more vulnerable to ischemic injury and delay neurological recovery, regardless of the recanalization status (25).

The results of several clinical trials (e.g., Action to Control Cardiovascular Risk in Diabetes, Action in Diabetes and Vascular Disease: Preterax and Diamicron MR Controlled Evaluation, and Veterans Affairs Diabetes Trial) showed that intensive glycemic control did not reduce cardiovascular or overall mortality and that achieving an HbA1c <7% (53 mmol/mol) is generally recommended (2628). A more stringent HbA1c target of <6.5% (48 mmol/mol) might be appropriate among patients with a longer life expectancy, shorter duration of diabetes, and fewer comorbidities (29). The study by the Fukuoka Stroke Registry investigators revealed that poor prestroke glucose control (HbA1c ≥6.9% [52 mmol/mol]) was associated with more neurological deterioration, less neurological improvement, and poor functional outcome (30). A study that exclusively examined patients with acute large vessel occlusive stroke after IAT also reported that the probability of achieving good functional recovery was significantly lower in those with HbA1c >7.0% (53 mmol/mol) (7).

The results of our study are consistent with previous studies that prestroke glucose control with a target HbA1c ≤7.0% (53 mmol/mol) may confer a benefit on neurological recovery after stroke in patients who undergo IAT. However, it should be noted that the probability of achieving nondisabling functional recovery (mRS 0–1) was significantly lower in the 1st quintile of HbA1c (≤6.1% [43 mmol/mol]) compared with that in the 2nd quintile. The decreased probability of achieving a nondisabling outcome in this group was comparable with that in the higher quintile groups. The relationship between HbA1c and vascular events and mortality showed a U-shaped association in several previous cohort studies, which emphasizes the necessity of including a lower threshold of HbA1c (31,32). The possible causes for the lower level of HbA1c in patients with diabetes include excessive control of blood glucose, restriction or poor intake of food, low hemoglobin or hemoglobinopathies, etc. Because the mean level of hemoglobin was 12.6 ± 2.2 mg/dL in the 1st quintile group, the accumulation of chronic hypoglycemia caused by improper dosing of antidiabetic medications or excessive food restriction were presumed to be a reason for the lower HbA1c. Prolonged hypoglycemia could increase the risk of vascular complications by activating platelet aggregation and fibrinogen formation, increasing proinflammatory mediators (vascular cell adhesion molecule, ROS, inflammatory cytokines, and tumor necrosis factor-α), and inducing endothelial dysfunction (33). Patients with established vascular disease or arrhythmia are more susceptible to the adverse effects of hypoglycemia (34,35). In the current study, the proportion of stroke subtypes was as follows: large artery atherosclerosis, 28.3%; and cardioembolism, 48.5%. Patients with large artery atherosclerosis had preexisting significant intra- or extracranial atherosclerosis, which is equivalent to established vascular disease. Most of the patients with cardioembolism had atrial fibrillation.

Our study has several limitations. Because we could not assess the status of acute glucose control during hospitalization, the effect of glucose treatment after ischemic stroke could not be analyzed. The harmful effects of prior exposure to chronic hyperglycemia may persist through epigenetic modifications (36). This metabolic memory effect could have an influence on functional recovery after stroke despite adequate glucose management during and after admission. Owing to the retrospective, registry-based observational nature of the study, the type of diabetes could not be assessed, and discriminating type 1 from type 2 was not feasible. However, the proportion of type 1 diabetes was estimated to be <5% among the total number of patients with diabetes, and the prevalence of type 1 diabetes in the entire Korean population has been shown to be small, ranging between 0.017 and 0.021% (37,38). Therefore, most of the study patients were presumed to have had type 2 diabetes. Additionally, the effect of unmeasured confounders cannot be ignored. Various factors, including socioeconomic status, premorbid cognitive function, marital status, caregiver support, and poststroke depression, could not be measured in this registry-based study and may affect functional recovery (39). Education level, which may partially reflect premorbid cognitive function and socioeconomic status, was adjusted to overcome this limitation. Education level is more closely related to functional recovery than income (40). The single-ethnicity population (East Asian) included in the current study may limit the generalizability of the findings.

In conclusion, better prestroke glucose control was associated with disability-free functional recovery in patients with diabetes receiving endovascular therapy for large vessel occlusive stroke. Prestroke glucose control with a target HbA1c ≤7.0% (53 mmol/mol) may have beneficial effects on neurological recovery after stroke and subsequent IAT regardless of stroke subtype, bridging IVT, occlusion site, degree of recanalization, and treatment period. However, excessive glucose control with an HbA1c ≤6.1% (43 mmol/mol) may reduce the chance of neurologic recovery and, therefore, should be avoided. IAT for large vessel occlusive stroke is also beneficial in diabetes. The current study emphasizes the importance of optimal prestroke glucose management among patients with diabetes to maximize the benefits of IAT.

This article contains supplementary material online at https://doi.org/10.2337/figshare.14696136.

Duality of Interest. No potential conflicts of interest relevant to this article were reported.

Author Contributions. J.Y.C. analyzed the data and drafted the manuscript. J.Y.C. and M.-K.H. designed the study. W.-J.K., J.H.K., B.J.K., J.-T.K., J.L., J.K.C., D.-H.K., Y.-J.C., K.-S.H., S.J.L., J.-M.P., B.-C.L., M.S.O., S.-H.L., C.K., D.-E.K., K.B.L., T.H.P., J.C.C., D.-I.S., S.-I.S., and J.-H.H. contributed to the acquisition of data. J.S.L. and M.-K.H. provided support on statistical analysis methods. H.-J.B. and M.-K.H. contributed to the interpretation of the study findings and critical revision of the manuscript. All authors read and approved the final manuscript. M.-K.H. is the guarantor of this work and, as such, had full access to all the data in the study and takes responsibility for the integrity of the data and the accuracy of the data analysis.

1.
Parsons
MW
,
Barber
PA
,
Desmond
PM
, et al
.
Acute hyperglycemia adversely affects stroke outcome: a magnetic resonance imaging and spectroscopy study
.
Ann Neurol
2002
;
52
:
20
28
2.
Bruno
A
,
Levine
SR
,
Frankel
MR
, et al.;
NINDS rt-PA Stroke Study Group
.
Admission glucose level and clinical outcomes in the NINDS rt-PA Stroke Trial
.
Neurology
2002
;
59
:
669
674
3.
Song
TJ
,
Chang
Y
,
Chun
MY
, et al
.
High dietary glycemic load is associated with poor functional outcome in patients with acute cerebral infarction
.
J Clin Neurol
2018
;
14
:
165
173
4.
Alvarez-Sabín
J
,
Molina
CA
,
Ribó
M
, et al
.
Impact of admission hyperglycemia on stroke outcome after thrombolysis: risk stratification in relation to time to reperfusion
.
Stroke
2004
;
35
:
2493
2498
5.
Kim
JT
,
Jahan
R
,
Saver
JL
;
SWIFT Investigators
.
Impact of glucose on outcomes in patients treated with mechanical thrombectomy: a post hoc analysis of the Solitaire Flow Restoration With the Intention for Thrombectomy Study
.
Stroke
2016
;
47
:
120
127
6.
Goyal
N
,
Tsivgoulis
G
,
Pandhi
A
, et al
.
Admission hyperglycemia and outcomes in large vessel occlusion strokes treated with mechanical thrombectomy
.
J Neurointerv Surg
2018
;
10
:
112
117
7.
Choi
K-H
,
Kim
J-H
,
Kang
K-W
, et al
.
HbA1c (glycated hemoglobin) levels and clinical outcome post-mechanical thrombectomy in patients with large vessel occlusion
.
Stroke
2019
;
50
:
119
126
8.
Diprose
WK
,
Wang
MTM
,
McFetridge
A
,
Sutcliffe
J
,
Barber
PA
.
Glycated hemoglobin (HbA1c) and outcome following endovascular thrombectomy for ischemic stroke
.
J Neurointerv Surg
2020
;
12
:
30
32
9.
Kim
BJ
,
Park
JM
,
Kang
K
, et al
.
Case characteristics, hyperacute treatment, and outcome information from the Clinical Research Center for Stroke-Fifth Division Registry in South Korea
.
J Stroke
2015
;
17
:
38
53
10.
Powers
WJ
,
Rabinstein
AA
,
Ackerson
T
, et al
.
Guidelines for the early management of patients with acute ischemic stroke: 2019 update to the 2018 guidelines for the early management of acute ischemic stroke: a guideline for healthcare professionals from the American Heart Associ-ation/American Stroke Association
.
Stroke
2019
;
50
:
e344
e418
11.
Jadhav
AP
,
Molyneaux
BJ
,
Hill
MD
,
Jovin
TG
.
Care of the post-thrombectomy patient
.
Stroke
2018
;
49
:
2801
2807
12.
Thanvi
B
,
Treadwell
S
,
Robinson
T
.
Early neurological deterioration in acute ischaemic stroke: predictors, mechanisms and management
.
Postgrad Med J
2008
;
84
:
412
417
13.
Kruyt
ND
,
Biessels
GJ
,
Devries
JH
,
Roos
YB
.
Hyperglycemia in acute ischemic stroke: pathop-hysiology and clinical management
.
Nat Rev Neurol
2010
;
6
:
145
155
14.
Jawerbaum
A
,
Franchi
AM
,
Gonzalez
ET
,
Novaro
V
,
de Gimeno
MA
.
Hyperglycemia pro-motes elevated generation of TXA2 in isolated rat uteri
.
Prostaglandins
1995
;
50
:
47
56
15.
Ding
Y
,
Vaziri
ND
,
Coulson
R
,
Kamanna
VS
,
Roh
DD
.
Effects of simulated hyperglycemia, insulin, and glucagon on endothelial nitric oxide synthase expression
.
Am J Physiol Endocrinol Metab
2000
;
279
:
E11
E17
16.
Bémeur
C
,
Ste-Marie
L
,
Montgomery
J
.
Increased oxidative stress during hyperglycemic cerebral ischemia
.
Neurochem Int
2007
;
50
:
890
904
17.
Martini
SR
,
Kent
TA
.
Hyperglycemia in acute ischemic stroke: a vascular perspective
.
J Cereb Blood Flow Metab
2007
;
27
:
435
451
18.
Anderson
RE
,
Tan
WK
,
Martin
HS
,
Meyer
FB
.
Effects of glucose and PaO2 modulation on cortical intracellular acidosis, NADH redox state, and infarction in the ischemic penumbra
.
Stroke
1999
;
30
:
160
170
19.
Stegenga
ME
,
van der Crabben
SN
,
Levi
M
, et al
.
Hyperglycemia stimulates coagulation, whereas hyperinsulinemia impairs fibrinolysis in healthy humans
.
Diabetes
2006
;
55
:
1807
1812
20.
Ribo
M
,
Molina
C
,
Montaner
J
, et al
.
Acute hyperglycemia state is associated with lower tPA-induced recanalization rates in stroke patients
.
Stroke
2005
;
36
:
1705
1709
21.
Tsang
ACO
,
Orru
E
,
Klostranec
JM
, et al
.
Thrombectomy outcomes of intracranial atheros-clerosis-related occlusions
.
Stroke
2019
;
50
:
1460
1466
22.
Li
H
,
Zhang
Y
,
Zhang
L
, et al
.
Endovascular treatment of acute ischemic stroke due to intracranial atherosclerotic large vessel occlusion: a systematic review
.
Clin Neuroradiol
2020
;
30
:
777
787
23.
Bruno
A
,
Biller
J
,
Adams
HP
 Jr.
, et al.;
Trial of ORG 10172 in Acute Stroke Treatment (TOAST) Investigators
.
Acute blood glucose level and outcome from ischemic stroke
.
Neurology
1999
;
52
:
280
284
24.
Alvarez-Sabín
J
,
Molina
CA
,
Montaner
J
, et al
.
Effects of admission hyperglycemia on stroke outcome in reperfused tissue plasminogen activator-treated patients
.
Stroke
2003
;
34
:
1235
1241
25.
Kuwashiro
T
,
Sugimori
H
,
Ago
T
,
Kuroda
J
,
Kamouchi
M
,
Kitazono
T
.
The impact of predisposing factors on long-term outcome after stroke in diabetic patients: the Fukuoka Stroke Registry
.
Eur J Neurol
2013
;
20
:
921
927
26.
Ismail-Beigi
F
,
Craven
T
,
Banerji
MA
, et al.;
ACCORD trial group
.
Effect of intensive treatment of hyperglycaemia on microvascular outcomes in type 2 diabetes: an analysis of the ACCORD randomised trial
.
Lancet
2010
;
376
:
419
430
27.
Patel
A
,
MacMahon
S
,
Chalmers
J
, et al.;
ADVANCE Collaborative Group
.
Intensive blood glucose control and vascular outcomes in patients with type 2 diabetes
.
N Engl J Med
2008
;
358
:
2560
2572
28.
Duckworth
W
,
Abraira
C
,
Moritz
T
, et al.;
VADT Investigators
.
Glucose control and vascular complications in veterans with type 2 diabetes
.
N Engl J Med
2009
;
360
:
129
139
29.
American Diabetes Association
.
6. Glycemic targets: Standards of Medical Care in Diabetes—2020
.
Diabetes Care
2020
;
43
(
Suppl. 1
):
S66
S76
30.
Kamouchi
M
,
Matsuki
T
,
Hata
J
, et al.;
FSR Investigators
.
Prestroke glycemic control is associated with the functional outcome in acute ischemic stroke: the Fukuoka Stroke Registry
.
Stroke
2011
;
42
:
2788
2794
31.
Currie
CJ
,
Peters
JR
,
Tynan
A
, et al
.
Survival as a function of HbA(1c) in people with type 2 diabetes: a retrospective cohort study
.
Lancet
2010
;
375
:
481
489
32.
Huang
ES
,
Liu
JY
,
Moffet
HH
,
John
PM
,
Karter
AJ
.
Glycemic control, complications, and death in older diabetic patients: the diabetes and aging study
.
Diabetes Care
2011
;
34
:
1329
1336
33.
Smith
L
,
Chakraborty
D
,
Bhattacharya
P
,
Sarmah
D
,
Koch
S
,
Dave
KR
.
Exposure to hypoglycemia and risk of stroke
.
Ann N Y Acad Sci
2018
;
1431
:
25
34
34.
Kranenburg
G
,
van der Graaf
Y
,
van der Leeuw
J
, et al.;
SMART Study Group
.
The relation between HbA1c and cardiovascular events in patients with type 2 diabetes with and without vascular disease
.
Diabetes Care
2015
;
38
:
1930
1936
35.
Chow
E
,
Bernjak
A
,
Williams
S
, et al
.
Risk of cardiac arrhythmias during hypoglycemia in patients with type 2 diabetes and cardiovascular risk
.
Diabetes
2014
;
63
:
1738
1747
36.
Misra
A
,
Bloomgarden
Z
.
Metabolic memory: evolving concepts
.
J Diabetes
2018
;
10
:
186
187
37.
DIAMOND Project Group
.
Incidence and trends of childhood type 1 diabetes worldwide 1990-1999
.
Diabet Med
2006
;
23
:
857
866
38.
Song
SO
,
Song
YD
,
Nam
JY
, et al
.
Epidemiology of type 1 diabetes mellitus in Korea through an investigation of the National Registration Project of Type 1 Diabetes for the reimbursement of gluco-meter strips with additional analyses using claims data
.
Diabetes Metab J
2016
;
40
:
35
45
39.
Dušica
SP
,
Devečerski
GV
,
Jovićević
MN
,
Platiša
NM
.
Stroke rehabilitation: which factors influence the outcome?
Ann Indian Acad Neurol
2015
;
18
:
484
487
40.
Putman
K
,
De Wit
L
,
Schoonacker
M
, et al
.
Effect of socioeconomic status on functional and motor recovery after stroke: a European mult-icentre study
.
J Neurol Neurosurg Psychiatry
2007
;
78
:
593
599
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