Skip to main content
Archives of Medical Science : AMS logoLink to Archives of Medical Science : AMS
. 2016 Jun 30;13(1):100–108. doi: 10.5114/aoms.2016.61009

Hyperglycemia and diabetes have different impacts on outcome of ischemic and hemorrhagic stroke

Katarzyna K Snarska 1, Hanna Bachórzewska-Gajewska 1, Katarzyna Kapica-Topczewska 2, Wiesław Drozdowski 2, Monika Chorąży 2, Alina Kułakowska 2, Jolanta Małyszko 3,
PMCID: PMC5206364  PMID: 28144261

Abstract

Introduction

Stroke is the second leading cause of long-term disability and death worldwide. Diabetes and hyperglycemia may impact the outcome of stroke. We examined the impact of hyperglycemia and diabetes on in-hospital death among ischemic and hemorrhagic stroke patients.

Material and methods

Data from 766 consecutive patients with ischemic (83.15%) and hemorrhagic stroke were analyzed. Patients were classified into four groups: ischemic and diabetic; ischemic and non-diabetic; hemorrhagic and diabetic; and hemorrhagic and non-diabetic. Serum glucose was measured on admission at the emergency department together with biochemical and clinical parameters.

Results

Mean admission glucose in ischemic stroke patients with diabetes was higher than in non-diabetic ones (p < 0.001) and in hemorrhagic stroke patients with diabetes than in those without diabetes (p < 0.05). Mean admission glucose in all patients who died was significantly higher than in patients who survived. In multivariate analysis, the risk factors for outcome in patients with ischemic stroke and without diabetes were age, admission glucose level and estimated glomerular filtration rate (eGFR), while in diabetics they were female gender, admission glucose level, and eGFR; in patients with hemorrhagic stroke and without diabetes they were age and admission glucose levels. The cut-off value in predicting death in patients with ischemic stroke and without diabetes was above 113.5 mg/dl, while in diabetics it was above 210.5 mg/dl.

Conclusions

Hyperglycemia on admission is associated with worsened clinical outcome and increased risk of in-hospital death in ischemic and hemorrhagic stroke patients. Diabetes increased the risk of in-hospital death in hemorrhagic stroke patients, but not in ischemic ones.

Keywords: stroke, diabetes, outcome, mortality, hyperglycaemia

Introduction

Stroke is the second leading cause of long-term disability and is the second leading cause of death worldwide. The incidence of stroke can be reduced by elimination of risk factors in the healthy population (such as smoking, obesity, inactivity, unhealthy diets, and excessive alcohol intake) and by treatment of known risk factors for stroke (hypertension, diabetes, heart disease, lipid and coagulation disorders, inflammation). Diabetes prevalence is estimated between 15% and 25% of patients with ischemic stroke [14], but undiagnosed diabetes and impaired glucose tolerance account for 5–28% [5]. Diabetes is associated with an increased risk of ischemic stroke, and it also changes its clinical picture and affects the outcome [6]. Hyperglycemia is common during the acute period of stroke and can occur in patients with or without diabetes [3, 7]. Hyperglycemia is an independent risk factor for poor clinical outcome [3, 5, 811]. Hyperglycemia occurs in 30–40% of patients with acute ischemic stroke [5, 12, 13] and 43–59% of hemorrhagic stroke patients [14]. According to the literature, there is a lack of clear data that diabetes is a risk of in-hospital death.

The aim of this study was to investigate the impact of hyperglycemia and diabetes on in-hospital death amongst ischemic and hemorrhagic stroke patients. Furthermore, we evaluated selected risk factors affecting hospital events, in-hospital outcome and the length of hospitalization of patients with ischemic and hemorrhagic stroke.

Material and methods

We analyzed 766 consecutive patients with ischemic and hemorrhagic stroke who were admitted to the Department of Neurology, Medical University Hospital (Bialystok, Poland). Stroke was diagnosed based on neurological examination and admission computed tomography scan. Patients with subarachnoid hemorrhage, transient ischemic attacks, after loss of consciousness, brain tumor, head trauma and patients with incomplete data were excluded. No patient underwent thrombolysis. Patients were classified into four groups: patients with ischemic stroke and diabetes, patients with ischemic stroke and without diabetes, patients with hemorrhagic stroke and diabetes, and patients with hemorrhagic stroke and without diabetes.

Clinical variables

At admission demographic data (age, gender), metabolic parameters (serum glucose, creatinine, cholesterol) were recorded. At admission venous plasma glucose level was measured in the emergency room. All patients underwent brain computed tomography at admission. Hypertension, coronary heart disease, history of myocardial infarction, atrial fibrillation, and history of previous stroke were recorded. Diabetes was defined if the patient had a history of diabetes that was confirmed by their medical records or was using oral hypoglycemic treatment or insulin. The length of hospitalization was also recorded.

The study protocol was approved by the local Medical University Ethics Committee. All patients were fully informed about the study and gave their consent.

Results

We collected data from 766 patients with stroke (83.15% with ischemic and 16.84% with hemorrhagic stroke). The mean age of the study population was 70.90 ±12.52 years. Patients with ischemic stroke were significant older compared to hemorrhagic stroke patients (72.14 ±11.38; 64.80 ±15.76 years respectively; p < 0.001). The mean age of patients with ischemic stroke with and without diabetes was similar. The mean age of patients with hemorrhagic stroke and diabetes was 73.17 (non-significant – NS), and without diabetes 63.9 (p = 0.054) (Table I). Previous diagnosis of diabetes was established in 21.5% of patients with ischemic and 9.3% with hemorrhagic stroke (p = 0.001). A total of 668 (87.3%) patients had hypertension, comparable in both types of stroke (87.6% vs. 86.0%; NS). Hypertension occurred more frequently in patients with ischemic stroke and diabetes, compared to patients without diabetes (86.1 vs. 92.7%. respectively p = 0.041). At admission cholesterol and low-density lipoprotein (LDL) cholesterol levels in non-diabetic patients were significantly higher than diabetics. High-density lipoprotein (HDL) cholesterol levels were lower in patients with diabetes. At admission amongst patients with ischemic stroke and diabetes the mean serum creatinine was significantly higher compared to non-diabetic patients (1.35 ±1.28 mg/dl vs. 1.07 ±0.60 mg/dl, p < 0.000). Fibrinogen levels at admission were higher in diabetic patients. 32.2% of patients with ischemic and 15.5% of patients with hemorrhagic stroke had a history of previous stroke. A history of concomitant coronary heart disease/myocardial infarction occurred more frequently in patients with diabetes (Table II).

Table I.

Basal clinical characteristics of the studied population in relation to age and gender

Parameter Non-diabetic Diabetic Total P-value
N Mean ± SD/% N Mean ± SD/% N Mean ± SD/%
Age:
 Hemorrhagic stroke 499 71.92 ±11.90 137 72.90 ±9.28 636 72.13 ±11.38 NS
 Ischemic stroke 117 63.94 ±16.01 12 73.17 ±10.19 129 64.80 ±15.76 0.054
Gender:
 Ischemic stroke Males 264 52.9 68 49.6 332 52.2 0.501
Females 235 47.1 69 50.4 304 47.8
 Hemorrhagic stroke Males 53 45.3 7 58.3 60 46.5 0.545
Females 64 54.7 5 41.7 69 53.5

Table II.

Clinical characteristics of the population studied at admission to hospital

Parameter Non-diabetic Diabetic Total P-value
N Mean ± SD/% N Mean ± SD/% N Mean ± SD/%
Hypertension:
 Ischemic stroke 429 86.1 127 92.7 556 87.6 0.041
 Hemorrhagic stroke 99 84.6 12 100.0 111 86.0 0.215
Blood pressure at admission [mm Hg]:
 Ischemic stroke Systolic 499 152.67 ±25.10 137 156.99 ±23.53 636 153.60 ±24.82 NS
Diastolic 499 88.20 ±12.49 137 88.90 ±12.59 636 88.35 ±12.50 NS
 Hemorrhagic stroke Systolic 117 164.53 ±36.14 12 164.17 ±33.43 129 164.50 ±35.77 NS
Diastolic 117 93.50 ±16.23 12 94.17 ±16.21 129 93.57 ±16.17 NS
Cholesterol [mg/dl]:
 Ischemic stroke 406 184.36 ±40.97 107 168.83 ±42.30 513 181.12 ±41.69 < 0.001
 Hemorrhagic stroke 48 183.42 ±50.83 9 194.00 ±50.18 57 185.09 ±50.43 0.555
HDL [mg/dl]:
 Ischemic stroke 398 50.50 ±56.80 106 36.61 ±13.89 504 47.58 ±51.17 < 0.001
 Hemorrhagic stroke 46 45.23 ±17.43 9 43.84 ±14.71 55 45.01 ±16.89 1.000
LDL [mg/dl]:
 Ischemic stroke 398 118.37 ±35.93 106 109.30 ±32.35 505 116.50 ±35.38 0.025
 Hemorrhagic stroke 46 116.09 ±42.94 9 131.33 ±42.95 55 118.58 ±42.92 0.290
Creatinine at admission [mg/dl]:
 Ischemic stroke 451 1.08 ±0.51 118 1.38 ±1.33 569 1.14 ±0.77 < 0.001
 Hemorrhagic stroke 95 1.04 ±0.92 11 1.02 ±0.27 106 1.04 ±0.87 0.171
Fibrinogen at admission [mg/dl]:
 Ischemic stroke 419 403.48 ±113.62 109 440.09 ±145.33 528 411.04 ±121.60 0.004
 Hemorrhagic stroke 98 413.55 ±147.00 11 517.12 ±144.80 109 424.00 ±149.44 0.009
Prior stroke:
 Ischemic stroke 157 31.8 47 34.3 204 32.3 0.606
 Hemorrhagic stroke 16 13.7 4 33.3 20 15.5 0.091
Coronary artery disease/myocardial infarction:
 Ischemic stroke 208 41.8 71 51.8 279 43.9 0.041
 Hemorrhagic stroke 21 17.9 5 41.7 26 20.2 0.065

Mean admission glucose was 123.80 ±58.10 mg/dl (124.31 ±60.71 mg/dl in ischemic and 121.36 ±43.56 mg/dl (NS) in hemorrhagic stroke patients). Mean admission glucose in all patients who died was significantly higher than in patients who survived. Amongst diabetic patients glucose levels were significantly higher than in non-diabetic patients (Table III). At admission blood samples for glycated hemoglobin (HbA1c) were drawn for 122 (15.94%) patients. The mean HbA1c in patients with ischemic stroke and without diabetes was 5.70 ±0.45% and in those with diabetes was 7.25 ±1.44%, and amongst patients with hemorrhagic stroke it was 5.78 ±0.40 vs. 5.90 ±0.00%, respectively. Insulin has been used in the treatment of patients with ischemic stroke and diabetes in 30.7% (p < 0.01), and hemorrhagic stroke patients in 66.7% (p < 0.01). In-hospital mortality in patients with ischemic stroke was 13.1% (non-diabetic 13.6%. and diabetic 10.9%, NS) and with hemorrhagic stroke was 24.0% (non-diabetic 21.4%, diabetic 50.0%, p = 0.038) (Table IV). The mean length of hospitalization in patients who survived was significantly longer than in those who died (ischemic 15.8 ±14.1; 9.6 ±9.8 days; p < 0.0001; hemorrhagic 25.3 ±19.0 vs. 14.3 ±15.1 days; p = 0.011). In patients with ischemic stroke in-hospital death occurred on the 10th day of treatment and in hemorrhagic stroke patients on the 14th. 60.7% of ischemic stroke patients were discharged to home. Every fourth patient with ischemic stroke was transferred to another health care facility. The duration of hospitalization was similar among patients with ischemic stroke and with/without diabetes. Only one third of the patients with hemorrhagic stroke were discharged to home; the rest of patients were transferred to other health care facilities (Table V).

Table III.

Serum glucose at admission in regard to the presence of diabetes

Parameter Non-diabetic Diabetic Total P-value
N Mean ± SD/% N Mean ± SD/% N Mean ± SD/%
Serum glucose at admission [mg/dl]:
 Ischemic stroke 462 110.13 ±29.09 132 173.95 ±102.53 594 124.31 ±60.71 < 0.001
 Hemorrhagic stroke 112 117.43 ±10.34 12 158.08 ±56.30 124 121.36 ±43.56 0.001
Serum glucose [mg/dl]:
 Ischemic stroke < 140 410 88.7 68 51.5 478 80.5 < 0.001
140–200 43 9.3 26 19.7 69 11.6
≥ 200 9 1.9 38 28.8 47 7.9
 Hemorrhagic stroke < 140 94 83.9 6 50.0 100 80.6 0.014
140–200 12 10.7 4 33.3 16 12.9
≥ 200 6 5.4 2 16.7 8 6.5

Table IV.

Survival and mortality of the studied group

Parameter Non-diabetic Diabetic Total P-value
N % N % N %
End of treatment Ischemic stroke Discharge 431 86.4 122 89.1 553 86.9 0.475
Death 68 13.6 15 10.9 83 13.1
Hemorrhagic stroke Discharge 92 78.6 6 50.0 98 76.0 0.038
Death 25 21.4 6 50.0 31 24.0

Table V.

Outcome of the studied groups

Parameter Type of stroke Total Survived Death P-value
N Mean ± SD N Mean ± SD N Mean ± SD
Length of stay [days] Ischemic stroke 637 15.0 ±13.8 553 15.8 ±14.1 84 9.6 ±9.8 < 0.001
Hemorrhagic stroke 129 22.7 ±18.7 98 25.3 ±19.0 31 14.3 ±15.1 0.011
Parameter Type of stroke Total Ischemic stroke Hemorrhagic stroke P-value
N % N % N %
End of treatment Discharge 432 56.5 387 60.7 45 35.2 < 0.001
Transfer 218 28.5 166 26.1 52 40.6
Death 115 15.0 84 13.2 31 24.2

Mean serum glucose levels at admission are given in Table VI. The mean duration of hospitalization of patients with hemorrhagic stroke was significantly longer than that of patients with ischemic stroke (22.65 ±18.70 vs. 15.03 ±13.73; respectively p = 0.002). The duration of hospitalization was significantly longer in patients with hemorrhagic stroke and diabetes (Table VII). The only correlation was observed between admission glucose and the length of hospitalization of patients with hemorrhagic stroke and diabetes (r = –0.74, p = 0.006) (Table VIII). In multivariate analysis (Table IX), the risk factors for outcome in patients with ischemic stroke and without diabetes were age (p < 0.04; OR = 1.040), admission glucose level (p < 0.001; OR = 1.021) and eGFR using the Modification of Diet in Renal Disease (MDRD) equation (p = 0.007; OR = 0.979), and in diabetics they were female gender (p = 0.022; OR = 6.610), admission glucose level (p = 0.010; OR = 1.007), and eGFR using the MDRD equation (p < 0.001; OR = 0.937). In patients with hemorrhagic stroke and without diabetes the risk factors for outcome were age (p = 0.013; OR = 1.058) and admission glucose levels (p = 0.003; OR = 1.024). The study attempted to determine the admission glucose cut-off value for increased mortality. The predictive value of blood glucose level for mortality of ischemic stroke patients was estimated by receiver operating curve (ROC) analysis. The analysis was performed for diabetic and non-diabetic patients separately. In both cases, the area under the ROC curve (area under curve – AUC) was significantly higher than 0.5, which indicated the predictive value of blood glucose level. The optimal cut-off value was determined as the point of the ROC curve less distant from the ideal point (100% sensitivity and 100% specificity). The admission glucose cut-off value in predicting death in patients with ischemic stroke and without diabetes was above 113.5 mg/dl (52.63% sensitivity and 70.69% specificity). However, for patients with diabetes the admission glucose cut-off value for increased mortality was much higher: 210.5 mg/dl (60% sensitivity, 76.92% specificity). Due to the low number of events the admission glucose cut-off value in predicting death in patients with hemorrhagic stroke was not determined.

Table VI.

Mean serum glucose at admission in relation to presence of diabetes and type of stroke

Type of stroke Diabetes
No Yes
N Mean ± SD N Mean ± SD
Ischemic stroke Survived 406 107.58 ±24.955 117 165.6 ±97.384
Death 56 128.55 ±45.991 15 239.13 ±121.063
Whole group 462 110.13 ±29.093 132 173.95 ±102.533
P-value (Mann-Whitney test) 0.0005 0.002
Hemorrhagic stroke Survived 87 109.55 ±34.369 6 119.67 ±14.123
Death 25 144.84 ±47.793 6 196.5 ±56.843
Whole group 112 117.43 ±40.335 12 158.08 ±56.297
P-value (Mann-Whitney test) 0.0001 0.004

Table VII.

Length of stay in relation to presence of diabetes

Parameter Outcome Length of stay [days] P-value
N Mean ± SD
Ischemic stroke without diabetes Survived 431 16.01 ±15.10 < 0.001
Death 68 10.41 ±10.57
Whole group 499 15.25 ±14.68
Ischemic stroke with diabetes Survived 122 15.27 ±9.74 < 0.001
Death 15 6.33 ±4.32
Whole group 137 14.29 ±9.70
Hemorrhagic stroke without diabetes Survived 92 24.60 ±19.37 0.077
Death 25 15.60 ±16.15
Whole group 117 22.68 ±19.03
Hemorrhagic stroke with diabetes Survived 6 36.00 ±6.72 < 0.001
Death 6 8.83 ±8.16
Whole group 12 22.42 ±15.88

Table VIII.

Non-parametric correlations between presence of diabetes and length of stay

Type of stroke Parameter Diabetes
No Yes
Ischemic stroke r 0.02 0.09
P-value 0.717 0.289
Hemorrhagic stroke r –0.15 –0.77
P-value 0.122 0.006

Table IX.

Predictors of death in relation to presence of diabetes in stepwise logistic regression analysis (full model and elimination model)

Type of stroke Parameter Full model Elimination model
P-value OR P-value OR
Ischemic stroke without diabetes Age 0.096 1.033 0.040 1.040
Gender (female vs. male) 0.201 0.628
Glucose at admission < 0.001 1.021 < 0.001 1.021
eGFR by MDRD 0.010 0.980 0.007 0.979
Systolic blood pressure 0.077 0.987 0.081 0.987
Ischemic stroke with diabetes Age 0.241 1.068
Gender (female vs. male) 0.012 9.485 0.022 6.610
Glucose at admission 0.011 1.007 0.010 1.007
eGFR by MDRD 0.001 0.942 < 0.001 0.937
Systolic blood pressure 0.155 0.970 0.095 0.966
Hemorrhagic stroke without diabetes Age 0.023 1.057 0.013 1.058
Gender (female vs. male) 0.451 1.602
Glucose at admission 0.008 1.024 0.003 1.024
eGFR by MDRD 0.530 0.993

Discussion

Our study demonstrated that hyperglycemia on admission is associated with worsened clinical outcome and increased risk of in-hospital death in ischemic and hemorrhagic stroke patients. Diabetes increased the risk of in-hospital death in hemorrhagic stroke patients, but not in ischemic stroke. Farrokhnia et al. [15] reported that the mean blood glucose concentration above 113 mg/dl predicted 30-day mortality in non-diabetic patients with stroke. However, for patients with diabetes, the value for such increased mortality was much higher at 185 mg/dl. In our work we also evaluated the admission glucose cut-off value for increased mortality. In patients with ischemic stroke and diabetes the cut-off value was 210.5 mg/dl, and in patients with ischemic stroke and without diabetes it was 113.5 mg/dl. This observation confirmed that a differential response to hyperglycemia existed between patients with and without diabetes. Several mechanisms may play a role in this finding. Patients with diabetes are more likely to receive insulin and oral hypoglycemic treatment; however, all hypoglycemic drugs may influence glucometabolic health and endovascular inflammation [16]. In our study, patients with diabetes (30.7% with ischemic and 66.7% with hemorrhagic stroke) received insulin treatment. Furthermore, patients with diabetes may have reduced metabolic effects of hyperglycemia through chronic exposure to the evaluated glucose level. Then again, patients with diabetes have a higher glucose level that increased in-hospital mortality [3, 15]. Many factors have been identified through which hyperglycemia could increase cerebral damage in ischemic stroke [13]. Magnetic resonance imaging (MRI) has demonstrated that in patients with acute perfusion diffusion mismatch within 24 h of stroke onset, hyperglycemia correlated with reduced salvage of mismatch tissue from infarction, greater final size and worse outcome [13, 1719]. Moreover, admission hyperglycemia impaired recanalization in patients with acute ischemic stroke, which may cause a worse clinical outcome after thrombolytic therapy [17, 20]. Decrease in perfusion in ischemic stroke has been associated with disturbances in coagulation and fibrinolysis and changes in blood rheology (increased blood viscosity, erythrocyte reduced susceptibility to deformation, increased tendency of red blood cells to form microaggregates) [13, 2123]. Exposure of brain tissue to excessive levels of glucose resulted in disruption of the blood-brain barrier, anaerobic glycolysis, lactate accumulation, tissue acidosis, the formation of free radicals, release of excitatory neurotransmitters and calcium influx into the cell [5, 2224]. Poorly controlled hyperglycemia reduces cerebral blood flow and oxygenation of tissues, and increases intracranial pressure, cerebral edema and neuronal death [14, 2426]. These mechanisms, which are more severe in patients with diabetes and hemorrhagic stroke, perhaps increase mortality in hemorrhagic stroke, as in our work. Most of the studies have focused on the evaluation of hyperglycemia on admission and its impact on outcome and mortality in ischemic or hemorrhagic stroke [3, 810, 14]. In our work, we analyzed patients with ischemic and hemorrhagic stroke and with and without diabetes. Many studies have shown that hyperglycemia worsens the prognosis of ischemic stroke [3, 810]. Analysis of the GLIAS (GLycemia In Acute Stroke) study showed that persistent hyperglycemia above 155 mg/dl is commonly observed in patients with ischemic stroke and is associated with poorer outcome [27]. Hu et al. [3] found a significant association between initial glucose level and mortality in patients with ischemic stroke and without diabetes. In our study diabetes did not increase the risk of mortality in ischemic stroke. These differences between groups of patients with and without diabetes and ischemic stroke is likely to result in different glucose cut-off values for increased mortality. Appelboom et al. [14] confirmed the relationship between admission glucose and mortality in patients with spontaneous intracerebral hemorrhage and severity of intraventricular extension. Other studies have also observed that hyperglycemia in patients with hemorrhagic stroke is an independent risk factor for mortality and poor clinical outcome and may affect the increase in the size of hematoma [2831]. In addition, altered glucose metabolism may be due to inflammatory cell activation, as suggested by Tapia-Pérez et al. [32] on the basis of a relatively small retrospective study. Also serum lipids and kidney function may play a role in complications of diabetes [33]. In addition, increased serum level of soluble CXCL16 was independently associated with atherosclerotic ischemic stroke, as reported recently [34].

In our study diabetes was a risk factor for death in hemorrhagic stroke, in contrast to the study of Wang et al. [35]. They suggested that diabetes in Han Chinese patients with hemorrhagic stroke was not associated with increased mortality or functional outcome. It may be due to the genetic predisposition. Unlike in Caucasians, the minor allele C of rs11206510 was associated with increased LDL cholesterol levels in the Chinese Han population and conferred a risk of early-onset coronary artery disease and a significant risk of ischemic stroke [36]. Similarly, allele 936C of VEGF may serve as a genetic marker susceptible to diabetic neuropathy in Han Chinese, while allele 936T may be a protective genetic marker of it [37]. However, in the population of Southern China diabetes together with hypertension and hyperlipidemia was more prevalent in patients with lacunar infarction [38]. On the other hand, as decreased exercise capacity is an independent risk factor for major adverse cardiovascular events (MACE) in diabetes [39] as well as lower limb ischemia [40], it is also relevant for stroke. In recent studies, mainly registry or cohort studies, underlying the role of diabetes as a risk factor for death in stroke, the type of stroke is not elucidated [4143], while in our relatively large sample we defined the type of stroke as Bhalla et al. [44] did in the South London Stroke Register. However, the Londoners with diabetes had poorer survival in ischemic stroke, while in general hemorrhagic stroke was associated with worse outcome up to 5 years after the event. In our study we focused on the in-hospital mortality and length of stay as well as the end of treatment (discharge or transfer to other health care facility). The duration of hospitalization was similar among patients with ischemic stroke and with/without diabetes. The length of hospital stay was significantly longer in patients with hemorrhagic stroke and diabetes. About 30% of patients with hemorrhagic stroke were discharged to home; the rest of the patients were transferred to other health care facilities. Extending the duration of hospitalization of patients with hemorrhagic stroke up to 10 days is associated with increased costs of treatment. Treatment of hyperglycemia during hospitalization improves outcomes, reduces long-term disability and shortens duration of hospitalization. Then, hospitals have greater chances of achieving significant cost savings. Lower admission glucose level impacts the mortality in non-diabetic patients compared to patients with diabetes. We would like to stress that it is very important to control the level of glucose during hospitalization in all patients with stroke (with and without diabetes). In addition, not only the presence of diabetes but also, or even more importantly, hyperglycemia is a poor predictor of outcomes in both types of stroke. Kidney function, in particular in ischemic stroke, also has a great impact on the outcome.

In conclusion, hyperglycemia on admission is associated with worsened clinical outcome and increased risk of in-hospital death in ischemic and hemorrhagic stroke patients. Diabetes increased the risk of in-hospital death in hemorrhagic stroke patients, but not in ischemic stroke. The admission glucose cut-off value in predicting death in patients with ischemic stroke and diabetes was much higher than in non-diabetic patients. The duration of hospitalization of patients with hemorrhagic stroke and diabetes who died was longer compared to non-diabetic patients. Approximately 26.1% of patients with ischemic stroke were transferred to another health care facility to continue treatment or rehabilitation, compared to 40.6% of patients with hemorrhagic stroke.

Conflict of interest

The authors declare no conflict of interest.

References

  • 1.Odier C, Rutgers M, Reichhart M, et al. The Acute Stroke Registry And Analysis Of Lausanne (ASTRAL): design and baseline analysis of an ischemic Stroke Registry Including Acute Multimodal Imaging. Stroke. 2010;41:2491–8. doi: 10.1161/STROKEAHA.110.596189. [DOI] [PubMed] [Google Scholar]
  • 2.Fuentes B, Castillo J, San José B, et al. Stroke Project Of The Cerebrovascular Diseases Study Group. Spanish Society Of Neurology. The prognostic value of capillary glucose levels in acute stroke: the Glycemia In Acute Stroke (GLIAS) Study. Stroke. 2009;40:562–8. doi: 10.1161/STROKEAHA.108.519926. [DOI] [PubMed] [Google Scholar]
  • 3.Hu GC, Hsieh SF, Chen YM, Hsu HH, Hu YN, Chien KL. Relationship of initial glucose level and all-cause death in patients with ischaemic stroke: the roles of diabetes mellitus and glycated hemoglobin level. Eur J Neurol. 2012;19:884–91. doi: 10.1111/j.1468-1331.2011.03647.x. [DOI] [PubMed] [Google Scholar]
  • 4.Cruz-Herranz A, Fuentes B, Martínez-Sánchez P, et al. Is diabetes an independent risk factor for in-hospital complications after a stroke? Diabetes. 2015;7:657–63. doi: 10.1111/1753-0407.12222. [DOI] [PubMed] [Google Scholar]
  • 5.Ntaios G, Egli M, Faouzi M, Michel PJ. Shaped association between serum glucose and functional outcome in acute ischemic stroke. Stroke. 2010;41:2366–70. doi: 10.1161/STROKEAHA.110.592170. [DOI] [PubMed] [Google Scholar]
  • 6.Papatheodorou K, Banach M, Edmonds M, Papanas N, Papazoglou D. Complications of diabetes. J Diabetes Res. 2015;2015:189525. doi: 10.1155/2015/189525. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Scott JF, Robinson GM, French JM, O’Connell JE, Alberti KG, Gray CS. Prevalence of admission hyperglycaemia across clinical subtypes of acute stroke. Lancet. 1999;353:376–7. doi: 10.1016/s0140-6736(05)74948-5. [DOI] [PubMed] [Google Scholar]
  • 8.Capes SE, Hunt D, Malmberg K, Pathak P, Gerstein HC. Stress hyperglycemia and prognosis of stroke in nondiabetic and diabetic patients: a systematic overview. Stroke. 2001;32:2426–32. doi: 10.1161/hs1001.096194. [DOI] [PubMed] [Google Scholar]
  • 9.Desilles JP, Meseguer E, Labreuche J, et al. Diabetes mellitus, admission glucose and outcomes after stroke thrombolysis: a registry and systematic review. Stroke. 2013;44:1915–23. doi: 10.1161/STROKEAHA.111.000813. [DOI] [PubMed] [Google Scholar]
  • 10.Tziomalos K, Spanou M, Bouziana SD, et al. Type 2 diabetes is associated with a worse functional outcome of ischemic stroke. World J Diabetes. 2014;5:939–44. doi: 10.4239/wjd.v5.i6.939. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Sarwar N, Gao P, Seshasai SR, et al. Diabetes mellitus, fasting blood glucose concentration and risk of vascular disease: a collaborative meta-analysis of 102 prospective studies. Emerging Risk Factors Collaboration. Lancet. 2010;375:2215–22. doi: 10.1016/S0140-6736(10)60484-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Uyttenboogaart M, Koch MW, Stewart RE, Vroomen PC, Luijckx GJ, De Keyser J. Moderate hyperglycaemia is associated with favourable outcome in acute Lacunar stroke. Brain. 2007;130:1626–30. doi: 10.1093/brain/awm087. [DOI] [PubMed] [Google Scholar]
  • 13.Luitse MJ, Biessels GJ, Rutten GE, Kappelle LJ. Diabetes, hyperglycaemia and acute ischaemic stroke. Lancet Neurol. 2012;11:261–71. doi: 10.1016/S1474-4422(12)70005-4. [DOI] [PubMed] [Google Scholar]
  • 14.Appelboom G, Piazza MA, Hwang BY, et al. Severity of intraventricular extension correlates with level of admission glucose after intracerebral hemorrhage. Stroke. 2011;42:1883–8. doi: 10.1161/STROKEAHA.110.608166. [DOI] [PubMed] [Google Scholar]
  • 15.Farrokhnia N, Björk E, Lindbäck J, Terent A. Blood glucose in acute stroke. Different therapeutic targets for diabetic and non-diabetic patients? Acta Neurol Scand. 2005;112:81–7. doi: 10.1111/j.1600-0404.2005.00440.x. [DOI] [PubMed] [Google Scholar]
  • 16.Rizzo M, Nikolic D, Banach M, Patti AM, Montalto G, Rizvi AA. Incretin-based therapies, glucometabolic health and endovascular inflammation. Curr Pharm Des. 2014;20:4953–60. doi: 10.2174/1381612819666131206102255. [DOI] [PubMed] [Google Scholar]
  • 17.Mccormick MT, Muir KW, Gray CS, Walters MR. Management of hyperglycemia in acute stroke: how, when and for whom? Stroke. 2008;39:2177–85. doi: 10.1161/STROKEAHA.107.496646. [DOI] [PubMed] [Google Scholar]
  • 18.Parsons MW, Barber PA, Desmond PM, et al. Acute hyperglycemia adversely affects stroke outcome: a magnetic resonance imaging and spectroscopy study. Ann Neurol. 2002;52:20–8. doi: 10.1002/ana.10241. [DOI] [PubMed] [Google Scholar]
  • 19.Els T, Klisch J, Orszagh M, et al. Hyperglycemia in patients with focal cerebral ischemia after intravenous thrombolysis: influence on clinical outcome and infarct size. Cerebrovasc Dis. 2002;13:89–94. doi: 10.1159/000047756. [DOI] [PubMed] [Google Scholar]
  • 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;36:1705–9. doi: 10.1161/01.STR.0000173161.05453.90.9f. [DOI] [PubMed] [Google Scholar]
  • 21.Boyle JP, Honeycutt AA, Narayan KM, et al. Projection of diabetes burden through 2050: impact of changing demography and disease prevalence in the U.S. Diabetes Care. 2001;24:1936–40. doi: 10.2337/diacare.24.11.1936. [DOI] [PubMed] [Google Scholar]
  • 22.Mazighi M, Amarenco P. Hyperglycemia: a predictor of poor prognosis in acute stroke. Diabetes Metab. 2001;27:718–20. [PubMed] [Google Scholar]
  • 23.Lemkes BA, Hermanides J, Devries JH, Holleman F, Meijers JC, Hoekstra JB. Hyperglycemia: a prothrombotic factor? J Thromb Haemost. 2010;8:1663–9. doi: 10.1111/j.1538-7836.2010.03910.x. [DOI] [PubMed] [Google Scholar]
  • 24.Tomlinson DR, Gardiner NJ. Glucose neurotoxicity. Nat Rev Neurosci. 2008;9:36–45. doi: 10.1038/nrn2294. [DOI] [PubMed] [Google Scholar]
  • 25.Araki N, Greenberg JH, Sladky JT, Uematsu D, Karp A, Reivich M. The effect of hyperglycemia on intracellular calcium in stroke. J Cereb Blood Flow Metab. 1992;12:469–76. doi: 10.1038/jcbfm.1992.64. [DOI] [PubMed] [Google Scholar]
  • 26.Passero S, Ciacci G, Ulivelli M. The influence of diabetes and hyperglycemia on clinical course after intracerebral hemorrhage. Neurology. 2003;61:1351–6. doi: 10.1212/01.wnl.0000094326.30791.2d. [DOI] [PubMed] [Google Scholar]
  • 27.Fuentes B, Ortega-Casarrubios MA, Sanjosé B, et al. Stroke Project Of The Cerebrovascular Diseases Study Group Spanish Society Of Neurology. Persistent hyperglycemia > 155 mg/dl in acute ischemic stroke patients: how well are we correcting it?: implications for outcome. Stroke. 2010;41:2362–5. doi: 10.1161/STROKEAHA.110.591529. [DOI] [PubMed] [Google Scholar]
  • 28.Broderick JP, Diringer MN, Hill MD, et al. Recombinant Activated Factor VII Intracerebral Hemorrhage Trial Investigators. Determinants of intracerebral hemorrhage growth: an exploratory analysis. Stroke. 2007;38:1072–5. doi: 10.1161/01.STR.0000258078.35316.30. [DOI] [PubMed] [Google Scholar]
  • 29.Cucchiara B, Tanne D, Levine SR, Demchuk AM, Kasner S. A risk score to predict intracranial hemorrhage after recombinant tissue plasminogen activator for acute ischemic stroke. J Stroke Cerebrovasc Dis. 2008;17:331–3. doi: 10.1016/j.jstrokecerebrovasdis.2008.03.012. [DOI] [PubMed] [Google Scholar]
  • 30.Demchuk AM, Morgenstern LB, Krieger DW, et al. Serum glucose level and diabetes predict tissue plasminogen activator-related intracerebral hemorrhage in acute ischemic stroke. Stroke. 1999;30:34–9. doi: 10.1161/01.str.30.1.34. [DOI] [PubMed] [Google Scholar]
  • 31.Stead LG, Jain A, Bellolio MF, et al. Emergency department hyperglycemia as a predictor of early mortality and worse functional outcome after intracerebral hemorrhage. Neurocrit Care. 2010;13:67–74. doi: 10.1007/s12028-010-9355-0. [DOI] [PubMed] [Google Scholar]
  • 32.Tapia-Pérez JH, Gehring S, Zilke R, Schneider T. Effect of increased glucose levels on short-term outcome in hypertensive spontaneous intracerebral hemorrhage. Clin Neurol Neurosurg. 2014;118:37–43. doi: 10.1016/j.clineuro.2013.12.018. [DOI] [PubMed] [Google Scholar]
  • 33.Banach M, Serban C, Aronow WS, et al. Lipid, blood pressure and kidney update 2013. Int Urol Nephrol. 2014;46:947–61. doi: 10.1007/s11255-014-0657-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34.Ma A, Pan X, Xing Y, Wu M, Wang Y, Ma C. Elevation of serum CXCL16 level correlates well with atherosclerotic ischemic stroke. Arch Med Sci. 2014;10:47–52. doi: 10.5114/aoms.2013.39200. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35.Wang Q, Wang D, Liu M, et al. Is diabetes a predictor of worse outcome for spontaneous intracerebral hemorrhage? Clin Neurol Neurosurg. 2015;134:67–71. doi: 10.1016/j.clineuro.2015.01.020. [DOI] [PubMed] [Google Scholar]
  • 36.Xu C, Wang F, Wang B, et al. Minor allele C of chromosome 1p32 single nucleotide polymorphism S11206510 confers risk of ischemic stroke in the Chinese Han Population. Stroke. 2010;41:1587–92. doi: 10.1161/STROKEAHA.110.583096. [DOI] [PubMed] [Google Scholar]
  • 37.Zhang X, Sun Z, Jiang H, Song X. Relationship between single nucleotide polymorphisms in the 3’-untranslated region of the vascular endothelial growth factor gene and susceptibility to diabetic peripheral neuropathy in China. Arch Med Sci. 2014;10:1028–34. doi: 10.5114/aoms.2013.39381. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.Sun XG, Wang T, Zhang N, Yang QD, Liu YH. Incidence and survival of Lacunar infarction in a Southern Chinese population: a 7-year prospective study. Brain Inj. 2015;29:739–44. doi: 10.3109/02699052.2015.1004752. [DOI] [PubMed] [Google Scholar]
  • 39.Pierre-Louis B, Guddati AK, Khyzar Hayat Syed M, et al. Exercise capacity as an independent risk factor for adverse cardiovascular outcomes among nondiabetic and diabetic patients. Arch Med Sci. 2014;10:25–32. doi: 10.5114/aoms.2014.40731. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40.Inan B, Aydin U, Ugurlucan M, Aydin C, Teker ME. Surgical treatment of lower limb ischemia in diabetic patients – long-term results. Arch Med Sci. 2013;9:1078–82. doi: 10.5114/aoms.2013.39630. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41.Emerging Risk Factors Collaboration. Di Angelantonio E, Kaptoge S, Wormser D, et al. Association of cardiometabolic multimorbidity with mortality. JAMA. 2015;314:52–60. doi: 10.1001/jama.2015.7008. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42.Yeap BB, Mccaul KA, Flicker L, et al. Diabetes, myocardial infarction and stroke are distinct and duration-dependent predictors of subsequent cardiovascular events and all-cause mortality in older men. J Clin Endocrinol Metab. 2015;100:1038–47. doi: 10.1210/jc.2014-3339. [DOI] [PubMed] [Google Scholar]
  • 43.Kelly PJ, Clarke PM, Hayes AJ, et al. Predicting mortality in people with type 2 diabetes mellitus after major complications: a study using Swedish National Diabetes Register Data. Diabet Med. 2014;31:954–62. doi: 10.1111/dme.12468. [DOI] [PubMed] [Google Scholar]
  • 44.Bhalla A, Wang Y, Rudd A, Wolfe CD. Differences in outcome and predictors between ischemic and intracerebral hemorrhage: the South London Stroke Register. Stroke. 2013;44:2174–81. doi: 10.1161/STROKEAHA.113.001263. [DOI] [PubMed] [Google Scholar]

Articles from Archives of Medical Science : AMS are provided here courtesy of Termedia Publishing

RESOURCES