Demographic characteristics and risk factors of AIS patients in PHOTAR and PUFH
The sample comprised 236 (175 males, 74.2%) and 1021 AIS patients (731 males, 71.6%) from PHOTAR and PUFH, respectively. The PHOTAR patients were significantly younger than the PUFH patients (58.19±14.49 years vs. 65.10±13.15 years; P<0.001). Young adult stroke was more predominant in PHOTAR than in PUFH (17.3% vs. 5.6%; P<0.001). The rate of IVTWT differed significantly between the two hospitals, with 9.7% and 17.1% of cases within the IVTWT in the PHOTAR and PUFH groups, respectively (P<0.001). Hypertension (75.6% vs. 64.8%, P=0.001), DM (41.9% vs. 23.3%, P<0.001), hyperlipidaemia (59.4% vs. 51.3%, P=0.013), smoking history (49.7% vs. 30.1%, P<0.001), alcohol consumption history (42.2% vs. 31.4%, P=0.002), and stroke history (29.4% vs. 6.4%, P<0.001) were significantly more common in PUFH patients than in PHOTAR patients. Erythrocytosis (28.8% vs. 0.4%, P<0.001) and hyperhomocysteinemia (60.6% vs. 36.9%, P<0.001) were significantly more prevalent in PHOTAR patients than in PUFH patients. In contrast, vascular stenosis was significantly more frequent in PUFH patients than in PHOTAR patients (P<0.001) (Table 1).
Table 1. Demographic characteristics and risk factors of AIS patients in PHOTAR and PUFH
|
PHOTAR (n=236)
|
PUFH (n=1021)
|
P-Value
|
Male, n (%)
|
175 (74.2)
|
731 (71.6)
|
0.43
|
Average age (years)
|
58.19±14.49
|
65.10±13.15
|
<0.001
|
Young adult stroke, n (%)
|
41 (17.3)
|
57 (5.6)
|
<0.001
|
Within IVTWT, n (%)
|
23 (9.7)
|
175 (17.1)
|
<0.001
|
Hypertension, n (%)
|
153 (64.8)
|
772 (75.6)
|
0.001
|
Diabetes mellitus, n (%)
|
55 (23.3)
|
428 (41.9)
|
<0.001
|
Hyperlipidaemia, n (%)
|
121 (51.3)
|
606 (59.4)
|
0.013
|
Smoking history, n (%)
|
71 (30.1)
|
507 (49.7)
|
<0.001
|
Alcohol consumption history, n (%)
|
74 (31.4)
|
431 (42.2)
|
0.002
|
Stroke history, n (%)
|
15 (6.4)
|
300 (29.4)
|
<0.001
|
Atrial fibrillation, n (%)
|
14 (5.9)
|
96 (9.4)
|
0.112
|
Erythrocytosis, n (%)
|
68 (28.8%)
|
4 (0.4%)
|
<0.001
|
Hyperhomocysteinemia, n (%)
|
143 (60.6)
|
377 (36.9)
|
<0.001
|
The severity of carotid artery atherosclerosis <0.001
|
Normal, n (%)
|
104 (44.1)
|
41 (4.0)
|
|
Intima thickening, n (%)
|
6 (2.5)
|
62 (6.1)
|
|
Plaque, n (%)
|
117 (49.6)
|
626 (61.3)
|
|
Arteriostenosis, n (%)
|
5 (2.1)
|
144 (14.1)
|
|
Arterial occlusion, n (%)
|
4 (1.7)
|
52 (5.1)
|
|
Data are presented as mean ± standard deviation or number (percentage).
AIS, acute ischemic stroke; IVTWT, intravenous thrombolysis window time; PHOTAR, People’s Hospital of Tibet Autonomous Region; PUFH, Peking University First Hospital.
Classification and location of AIS in PHOTAR and PUFH patients
While the cerebral lobes (50.0% vs. 42.4%, P=0.033) and supratentorial location (83.9% vs. 73.5%, P<0.001) were significantly more susceptible to infarction in PHOTAR patients than in PUFH patients, the brainstem (20.5% vs. 9.3%, P<0.001), thalamus (12.2% vs. 5.9%, P=0.008), corona radiata (49.4% vs. 11.9%, P<0.001), and deep location (54.7% vs. 41.1%, P=0.001) had higher incidences of infarction in PUFH patients than in PHOTAR patients. According to the TOAST classification, the distribution of AIS subtypes was significantly different between the two hospitals (P<0.001), where the small vessel disease subtype was more prevalent in PUFH. Concerning the OSCP classification, TACI and PACI subtypes were more common in PHOTAR patients, while the LACI subtype accounted for a considerable proportion in PUFH patients (Table 2).
Treatment of AIS patients in PHOTAR and PUFH
Thrombolysis was performed for 0.4% and 5.2% of PHOTAR and PUFH patients, respectively (P=0.001). At PHOTAR, only one person underwent thrombolytic therapy and was treated with urokinase. However, at PUFH, 53 patients underwent thrombolytic therapy, among which 37 (69.8%) were treated with rt-PA, 4 (7.5%) with urokinase, and the thrombotic agents used for 12 (22.6%) were unknown. Antihypertensives (66.7% vs. 56.4%, P=0.003), antidiabetics (37.7% vs. 10.2%, P<0.001), antihyperlipidemic (89.7% vs. 73.3%, P<0.001), antiplatelet drugs (92.4% vs. 83.5%, P<0.001), and anticoagulants (22.7% vs. 8.1%, P<0.001) were more frequently used by PUFH patients, while ICP-lowering drugs (21.6% vs. 4.7%, P<0.001) were more routinely used by PHOTAR patients (Table 3).
Table 3. Treatment of AIS patients in PHOTAR and PUFH
|
PHOTAR (n=236)
|
PUFH (n=1021)
|
P-Value
|
Thrombolysis, n (%)
|
1 (0.4)
|
53 (5.2)
|
0.001
|
Antihypertensive drugs, n (%)
|
133 (56.4)
|
679 (66.7)
|
0.003
|
Antidiabetic drugs, n (%)
|
24 (10.2)
|
383 (37.7)
|
<0.001
|
Antihyperlipidemic drugs, n (%)
|
173 (73.3)
|
914 (89.7)
|
<0.001
|
ICP-lowering drugs, n (%)
|
51 (21.6)
|
48 (4.7)
|
<0.001
|
Antiplatelet drugs, n (%)
|
197 (83.5)
|
941 (92.4)
|
<0.001
|
Anticoagulants, n (%)
|
19 (8.1)
|
231 (22.7)
|
<0.001
|
AIS, acute ischemic stroke; PHOTAR, People’s Hospital of Tibet Autonomous Region; PUFH, Peking University First Hospital; ICP, intracranial pressure.
Binary logistic regression to identify risk factors for ischemic stroke patients in Tibet
All risk factors with significant differences between two hospitals in Table 1 were analysed with binary logistic regression to explore the potential risk factors of AIS in Tibet. Here, erythrocytosis and hyperhomocysteinemia were confirmed as independent risk factors in ischemic stroke patients in Tibet (both P<0.001). While coefficient of erythrocytosis indicated a relatively strong influence on patients in PHOTAR, age, DM, smoking, stroke history, and the severity of carotid artery atherosclerosis had a more pronounced effect on patients in PUFH (Table 4).
Table 4. Binary logistic regression to identify risk factors for ischemic stroke patients in Tibet.
|
Coefficient
|
OR
|
95%CI
|
P-Value
|
Age, years
|
-0.031
|
0.970
|
0.954-0.986
|
<0.001
|
Diabetes mellitus
|
-0.150
|
0.347
|
0.223-0.539
|
<0.001
|
Smoking history
|
-1.534
|
0.216
|
0.125-0.373
|
<0.001
|
Stroke history
|
-1.465
|
0.231
|
0.113-0.473
|
<0.001
|
Erythrocytosis
|
5.203
|
181.849
|
39.004-847.841
|
<0.001
|
Hyperhomocysteinemia
|
0.919
|
2.508
|
1.649-3.814
|
<0.001
|
Severity of carotid artery atherosclerosis
|
-0.548
|
0.578
|
0.490-0.682
|
<0.001
|
OR, odds ratio; CI, confidence interval.
Comparison of risk factors for young adult stroke between PHOTAR and PUFH patients
For young adult stroke, hypertension (70.2% vs. 36.6%, P=0.002), DM (47.8% vs. 12.2%, P=0.001), hyperlipidaemia (64.9% vs. 41.5%, P=0.036), and stroke history (17.5% vs. 2.4%, P=0.023) were predominantly found in PUFH patients. While carotid artery atherosclerosis (P=0.001) was more severe in PUFH patients, erythrocytosis (29.3% VS. 0%, P<0.001) was more frequent in PHOTAR patients (Table 5).
Table 5. Comparison of risk factors for young adult stroke between PHOTAR and PUFH patients
|
PHOTAR (n=41)
|
PUFH (n=57)
|
P-Value
|
Hypertension, n (%)
|
15 (36.6)
|
40 (70.2)
|
0.002
|
Diabetes mellitus, n (%)
|
5 (12.2)
|
22 (47.8)
|
0.001
|
Hyperlipidaemia, n (%)
|
17 (41.5)
|
37(64.9)
|
0.036
|
Smoking history, n (%)
|
16 (39.0)
|
30 (52.6)
|
0.260
|
Alcohol history, n (%)
|
16 (39.0)
|
32 (56.1)
|
0.142
|
Stroke history, n (%)
|
1 (2.4)
|
10 (17.5)
|
0.023
|
Atrial fibrillation, n (%)
|
0
|
0
|
None
|
Erythrocytosis, n (%)
|
12 (29.3)
|
0 (0)
|
<0.001
|
Hyperhomocysteinemia, n (%)
|
19 (46.3)
|
22 (46.8)
|
1.000
|
Severity of carotid artery atherosclerosis 0.001
|
Normal, n (%)
|
29 (70.7)
|
16 (32,0)
|
|
Intima thickening, n (%)
|
0 (0)
|
6 (12.0)
|
|
Plaque, n (%)
|
8 (19.5)
|
25 (50.0)
|
|
Arteriostenosis, n (%)
|
2 (4.9)
|
2 (4.0)
|
|
Arterial occlusion, n (%)
|
2 (4.9)
|
1 (6.0)
|
|
PHOTAR, People’s Hospital of Tibet Autonomous Region; PUFH, Peking University First Hospital.