| Literature DB >> 27482236 |
Jan P Bembenek1, Michał Karlinski2, Iwona Kurkowska-Jastrzebska3, Anna Czlonkowska3.
Abstract
INTRODUCTION: The aim of this study was to investigate long-term trends in secondary stroke prevention through management of vascular risk factors directly before hospital admission for recurrent stroke.Entities:
Keywords: recurrent stroke; secondary prevention; stroke; stroke register
Year: 2016 PMID: 27482236 PMCID: PMC4947623 DOI: 10.5114/aoms.2016.60963
Source DB: PubMed Journal: Arch Med Sci ISSN: 1734-1922 Impact factor: 3.318
Figure 1Acute stroke admissions in years 1995–2013
Clinical characteristics of 867 recurrent stroke patients with previous ischemic stroke admitted from 1995–2013
| Parameter | Years 1995–1999 | Years 2000–2004 | Years 2005–2009 | Years 2010–2013 | Overall | ||||
|---|---|---|---|---|---|---|---|---|---|
|
| Value |
| Value |
| Value |
| Value | ||
| General information: | |||||||||
| Male gender, | 109 | 48 (44.0) | 274 | 139 (50.7) | 289 | 132 (45.7) | 195 | 97 (49.7) | 0.500 |
| Age, median (IQR) [years] | 109 | 73 (65–83) | 274 | 74 (66–80) | 289 | 76 (67–83) | 195 | 77 (69–83) | 0.022 |
| Patients aged < 55 years,
| 109 | 11 (10.1) | 274 | 21 (7.6) | 289 | 17 (5.9) | 195 | 7 (3.6) | 0.119 |
| Patients aged ≥ 80 years,
| 109 | 36 (33.0) | 274 | 73 (26.6) | 289 | 102 (35.3) | 195 | 73 (37.4) | 0.059 |
| Ischemic stroke, | 109 | 96 (88.1) | 274 | 246 (89.8) | 289 | 263 (91.0) | 195 | 183 (93.9) | 0.319 |
| Baseline NIHSS, median (IQR) | 109 | 13 (7–22) | 245 | 14 (7–21) | 230 | 10 (5–19) | 194 | 8 (4–17) | < 0.001 |
| Vascular risk factors: | |||||||||
| Hypertension, | 104 | 84 (80.8) | 272 | 223 (82.0) | 282 | 248 (87.9) | 191 | 169 (88.5) | 0.066 |
| Atrial fibrillation, | 104 | 29 (27.9) | 270 | 83 (30.7) | 285 | 104 (36.5) | 192 | 68 (35.4) | 0.277 |
| Diabetes, | 109 | 33 (30.3) | 274 | 73 (26.6) | 289 | 84 (29.1) | 195 | 57 (29.2) | 0.866 |
| Congestive heart failure,
| 104 | 29 (27.9) | 268 | 79 (29.5) | 283 | 88 (31.1) | 187 | 54 (28.9) | 0.920 |
| Coronary artery disease, | 104 | 40 (38.5) | 270 | 117 (43.3) | 271 | 116 (42.8) | 189 | 69 (36.5) | 0.419 |
| Myocardial infarction in past,
| 104 | 26 (25.0) | 269 | 50 (18.6) | 286 | 54 (18.9) | 193 | 41 (21.2) | 0.501 |
| Tobacco smoking,
| |||||||||
| Current | 102 | 17 (16.7) | 267 | 58 (21.7) | 281 | 56 (19.9) | 185 | 34 (18.4) | 0.282 |
| Previous | 14 (13.7) | 52 (19.5) | 60 (21.4) | 46 (24.9) | |||||
| Never | 71 (69.6) | 157 (58.8) | 165 (58.7) | 105 (56.7) | |||||
| Total cholesterol, median (IQR) | 96 | 200 (173–236) | 226 | 201 (173–229) | 261 | 179 (151–215) | 184 | 164 (141–202) | < 0.001 |
| ≤ 200 mg/dl,
| 49 (51.0) | 111 (49.1) | 176 (67.4) | 137 (74.5) | < 0.001 | ||||
| LDL cholesterol | 78 | 131 (110–154) | 222 | 131 (108–159) | 260 | 111 (85–140 | 177 | 96 (72–127) | < 0.001 |
| ≤ 75 mg/dl,
| 6 (7.7) | 11 (5.0) | 45 (17.3) | 52 (29.4) | < 0.001 | ||||
Significant difference compared with the 1995–1999 period
significant difference compared with the preceding period
IQR – interquartile range, LDL – low density lipoprotein.
Changes in pre-stroke medications in recurrent stroke patients in the analyzed periods
| Pre-stroke medications | Years 1995–1999 | Years 2000–2004 | Years 2005–2009 | Years 2010–2013 | Overall | ||||
|---|---|---|---|---|---|---|---|---|---|
|
| Value |
| Value |
| Value |
| Value | ||
| Antihypertensives, | 104 | 73 (70.2) | 269 | 199 (74.0) | 285 | 229 (80.4) | 191 | 160 (83.8) | 0.013 |
| In patients with preexisting HTN,
| 83 | 73 (88.0) | 220 | 194 (88.2) | 245 | 218 (89.0) | 168 | 151 (89.9) | 0.950 |
| Antiplatelets, | 105 | 52 (49.5) | 269 | 146 (54.3) | 278 | 168 (60.4) | 186 | 118 (63.4) | 0.057 |
| Vitamin K antagonists, | 105 | 5 (4.8) | 268 | 24 (9.0) | 283 | 39 (13.8) | 186 | 29 (15.6) | 0.012 |
| In patients with preexisting AF,
| 28 | 4 (14.3) | 81 | 15 (18.5) | 102 | 27 (26.5) | 66 | 19 (28.8) | 0.265 |
| Statins, | – | – | 123 | 40 (32.5) | 273 | 106 (38.8) | 187 | 111 (59.4) | < 0.001 |
Significant difference compared with period 1995–1999
significant difference compared with preceding time period
AF – atrial fibrillation.