Literature DB >> 22566990

Influence of lipid profiles on the risk of hemorrhagic transformation after ischemic stroke: systematic review.

Katiuscia Nardi1, Didier Leys, Paolo Eusebi, Charlotte Cordonnier, Sophie Gautier, Hilde Hénon, Régis Bordet.   

Abstract

BACKGROUND: It has been suggested that low cholesterol levels might be associated with an increased risk of hemorrhagic transformation (HT) in patients with acute cerebral ischemia. We systematically reviewed the literature to determine the influence of lipid profiles on the HT risk.
METHODS: We searched PubMed from 1966 and EMBASE from 1980 for studies that investigated the association between lipid profiles and HT. We performed a meta-analysis (weighted mean difference method) for the comparison between presence and absence of HT (all or symptomatic) for total, low-density-lipoprotein (LDL) and high-density-lipoprotein (HDL) cholesterol, and triglycerides.
RESULTS: Eight studies investigating 1,763 patients were eligible, but none was designed specifically to address this question. All studies recruited acute stroke patients selected on the presumed cause of cerebral ischemia or treatment received. The meta-analysis showed that: (i) patients with all HT had lower LDL cholesterol levels (p = 0.008) but no difference in HDL cholesterol levels (p = 0.066), total cholesterol (p = 0.129) and triglycerides (p = 0.900); (ii) patients with symptomatic HT had lower total cholesterol levels (p = 0.035) but did not differ in LDL (p = 0.056) and HDL cholesterol (p = 0.138) and triglyceride (p = 0.851) levels.
CONCLUSION: HT is associated with baseline total and LDL cholesterol levels, but the mechanism of this association needs to be explored to identify preventive strategies.

Entities:  

Keywords:  Acute stroke; Cerebral ischemia; Cholesterol; Hemorrhagic transformation; Ischemic stroke; Lipoproteins; Triglycerides

Year:  2011        PMID: 22566990      PMCID: PMC3343754          DOI: 10.1159/000335014

Source DB:  PubMed          Journal:  Cerebrovasc Dis Extra        ISSN: 1664-5456


Introduction

Hemorrhagic transformation (HT) of cerebral ischemia may occur either spontaneously or after treatment with recombinant tissue plasminogen activator (rt-PA) [1, 2, 3]. Although HT may sometimes be related to early recanalization and associated with better clinical outcomes [4], it is more often a predictor of worst clinical outcomes [2]. HT is favored by increasing age [2], stroke severity [5], blood pressure [6] and blood glucose level [7]. Identifying other factors predisposing to HT may lead to new preventive strategies. The risk of spontaneous intracerebral hemorrhage (ICH) increases with lower total cholesterol levels in humans [8] and animals [9], but not in patients treated with intensive lipid-lowering therapy after ischemic stroke [10]. We systematically reviewed published studies to determine the influence of lipid profiles on the risk of HT.

Methods

Literature Search Strategy

On March 2, 2011, we searched MEDLINE (http://www.ncbi.nlm.nih.gov/pubmed) from 1966 and EMBASE (http://ovidsp.ovid.com) from 1980 for studies that investigated the association between lipid profiles and HT in patients with acute cerebral ischemia. Because there is no medical subject heading (Mesh) term for HT, the search strategy in MEDLINE was based on the association of the following terms: [‘Stroke’ (Mesh) OR ‘Cerebral Infarction’ (Mesh) OR ‘Infarction, Middle Cerebral Artery’ (Mesh) OR ‘Brain Ischemia’ (Mesh) OR ‘Intracranial Hemorrhages’ (Mesh)] AND [‘Lipids’ (Mesh) OR ‘Cholesterol’ (Mesh) OR ‘Cholesterol, HDL’ (Mesh) OR ‘Cholesterol, LDL’ (Mesh) OR ‘Triglycerides’ (Mesh)]. In EMBASE, the search strategy was: stroke (exp) AND (lipid or cholesterol or HDL or high density lipoprotein or LDL or low density lipoprotein or triglycerides). Studies missed by the electronic search have been identified from the authors’ personal files and by hand searching the references cited in retrieved articles. We excluded abstracts of meetings and book chapters. We did not exclude any language. One reviewer (K.N.) performed the literature search and screened the titles and abstracts of retrieved citations to identify potentially suitable studies. The abstracts were read by 2 reviewers (K.N. and D.L.). Uncertainties and disagreements were resolved by consensus. The 2 reviewers extracted data from included studies.

Inclusion and Exclusion Criteria

Studies meeting the following criteria were included in the analysis: (i) adult patients with acute cerebral ischemia; (ii) a systematic search for HT in ischemic stroke patients; (iii) data on total cholesterol, and/or LDL and/or HDL cholesterol, and/or triglycerides, and (iv) a computed tomography (CT) or magnetic resonance imaging (MRI) scan of the brain for the assessment of HT. We excluded studies (i) published as reviews; (ii) including patients with intracranial hemorrhages of other origin than HT, and (iii) based only on autopsies.

Critical Appraisal

The external validity of the studies was defined as follows: level A for population-based studies recruiting consecutive patients; level B for hospital-based studies recruiting consecutive patients; level C for hospital-based studies recruiting a subgroup of consecutive patients encountered with a high frequency (e.g. treated by intravenous rt-PA and age >45 years), and level D for either nonconsecutive patients or patients from a rare subgroup (e.g. patients treated by intra-arterial recanalization).

Statistical Analysis

The first step consisted of reporting for each eligible study, the mean values (SD) of total, LDL and HDL cholesterol, and triglyceride levels separately for patients with and without all types of HT (allHT), then separately for those with symptomatic HT (sHT). The second step consisted of a meta-analysis of eligible studies for the comparison between allHT versus no HT, for total, LDL and HDL cholesterol, and triglyceride levels, then between sHT and absence of sHT for the same variables. We used the weighted mean difference (WMD) method. The research question for the meta-analysis was the influence of baseline levels of lipids on the risk of HT. The comparison was performed between HT and non-HT patients (then between sHT and asymptomatic HT patients). The outcome was the baseline level of lipids (total, LDL and HDL cholesterol, and triglycerides evaluated separately). Statistical significance of the overall results was expressed with the pvalue in the test for overall effect, with p < 0.05 being considered as statistically significant. According to ranges for interpretationof I2 following the Cochrane Handbook for Systematic Reviews of Interventions[11], I2 values ≤40% were considered as indicating homogeneity between studies. When I2 was ≤40% (p values are reported and p > 0.05 show evidence of no heterogeneity), we used a fixed model for meta-analysis. Statistics were performed with the STATA 11 software. The analysis was conducted according to the MOOSE consensus [12].

Results

The flow chart of the selection of studies is reported in figure 1. Eight studies gathering 1,763 patients were eligible [13, 14, 15, 16, 17, 18, 19, 20].
Fig. 1

Flow chart of the selection of articles.

Most patients included in these studies were recruited between 2000 and 2007 [13, 14, 15, 16, 17, 18, 19, 20]. All studies were published between 2007 and 2009 [13, 14, 15, 16, 17, 18, 19, 20]. Of the 8 studies selected [13, 14, 15, 16, 17, 18, 19, 20], 3 were from the same research group [13, 18, 19]. Two of them (including 168 patients) were not included in the meta-analysis because they did not provide comparisons between patients with and without HT. There might be a possible overlap between these 3 studies including 104, 142 and 26 patients, precluding all influence on the meta-analysis [13, 18, 19]. Only 1 study had a multicenter design [20], and none was international. None of these 8 studies was conducted in the setting of a clinical trial. Patients were consecutively recruited in 5 studies [13, 15, 16, 17, 20], not in 2 [18, 19], and the information was not reported in 1 [14]. Patients were, however, prospectively recruited in all studies [13, 14, 15, 16, 17, 18, 19, 20]. The lipid profile was not determined specifically to address the question of the relationship with HT in 7 of the 8 studies [14, 15, 16, 17, 18, 19, 20]. Whether it was a prespecified question remains uncertain in 1 study [13]. Five were sponsored by public or institutional grants [13, 15, 16, 18, 19], and no detail on sponsoring was provided in 3 [14, 17, 20]. The characteristics of patients are detailed in table 1.
Table 1

Study population

Bang et al. [13] 2007 (n = 104)Montaner [14] 2008 (n = 60) aUyttenboogaart et al. [15] 2008 (n = 252) bKim et al. [16] 2009 (n = 377)Meier et al. [17] 2009 (n = 311)Restrepo et al. [18] 2009 (n = 142)Bang et al. [19] 2009 (n = 26) cPaciaroni et al. [20] 2009 (n = 491) d
ParticipantsAIS treated by IVT or IAT and/or angioplastyAIS treated by IVTAIS treated by IVTAth. and CE AISAIS treated by IAT or angioplastyAIS treated by IAT or angioplastyAIS with abnormal BBB permeability on 1st MRIAth. and CE AIS

External validityCCCCDDDC

Time from onset to admission<3 h (IVT), <8 h (angioplasty)<3 h<4.5 h<7 days<6 h (anterior stroke), <12 h (posterior stroke)<12 h<24 h<12 h

Time of blood sampling reportednext morningadmissionadmissionadmissionadmissionnext morning?next morning

TIA excluded++++++++

Recurrent stroke excluded

Mean age, years70.5?68666369??

Male gender, %49?54625751??

Healthy controls

Controls without HT++++++++

+ = Characteristic fulfilled; − = characteristic not fulfilled; ? = unknown; AIS = acute ischemic stroke; Ath. = atherosclerotic; CE = cardio-embolic; IVT = intravenous thrombolytic therapy; IAT = intra-arterial thrombolytic therapy; TIA = transient ischemic attack; BBB = blood-brain barrier. External validity was determined as follows: level A for population-based studies recruiting consecutive ischemic stroke patients; level B for hospital-based studies recruiting consecutive ischemic stroke patients; level C for hospital-based studies recruiting a subgroup of consecutive ischemic stroke patients considered by the investigator as encountered with a high frequency in practice (e.g. patients treated with IV t-PA or patients >45 years), and level D for either nonconsecutive patients or patients from a subgroup considered by the investigator as infrequent in practice (e.g. patients treated by intra-arterial recanalization or patients <45 years).

Among 145 patients, 60 were evaluated for the association between HT and lipid profile.

Among 301 patients, 252 were evaluated for the association between HT and lipid profile.

Among 127 patients, 26 were evaluated for the association between HT and lipid profile.

Among 1,125 patients, 491 were evaluated for the association between HT and lipid profile.

In 4 studies, patients were in the fasting state [13, 18, 19, 20]. Previous hypercholesterolemia was reported in 6 studies [14, 15, 16, 18, 19, 20], and ongoing statin therapy in all but 1 study [17]. No information about ongoing fibrate therapy or diet before stroke onset was available in any study. The method used to analyze lipids was detailed in 1 study [15]. All studies reported detailed results for LDL cholesterol levels [13, 14, 15, 16, 17, 18, 19, 20], 7 for total cholesterol [13, 14, 15, 16, 17, 18, 19], 6 for HDL cholesterol [13, 14, 15, 16, 17, 19] and 5 for triglycerides [13, 14, 15, 16, 17]. The methods used to assess HT are detailed in table 2, and associated risk factors for HT are detailed in table 3. The methods used for analysis in each individual study are detailed in table 4.
Table 2

HT assessment

Bang et al. [13] 2007 (n = 104)Montaner [14] 2008 (n = 60) aUyttenboogaart et al. [15] 2008 (n = 252) bKim et al. [16] 2009 (n = 377)Meier et al. [17] 2009 (n = 311)Restrepo et al. [18] 2009 (n = 142)Bang et al. [19] 2009 (n = 26) cPaciaroni et al. [20] 2009 (n = 491) d
Admission imaging showing no bleeding++++++++

Assessed by CT+?+++++

Assessed by MRI+?++++

Delay between stroke onset and assessment of HT24–120 h or worsening?in case of worsening<168 h24 h or worseningimmediately after treatment24 h or worsening72–168 h

Inter- and intra-observer agreement evaluated+

Follow-up >95% complete until the date of assessment of HT++?+++++

Clear definition for HT++2+3+4+5+6+7

Clear definition for sHT+1+2+4+5+7

HT proven to occur in the same area as the ischemic event++

+ = Characteristics fulfilled; − = characteristics not fulfilled; ? = unknown.

Among 145 patients, 60 were evaluated for the association between HT and lipid profile.

Among 301 patients, 252 were evaluated for the association between HT and lipid profile.

Among 127 patients, 26 were evaluated for the association between HT and lipid profile.

Among 1,125 patients, 491 were evaluated for the association between HT and lipid profile.

Radiologically subcategorized as petechial HT or hematoma. Clinical categories for HT defined as asymptomatic HT (i.e. no clinical worsening on NIHSS); minor symptomatic HT (1- to 3-point increase in NIHSS score); major symptomatic HT (4-point increase in NIHSS score or 1-point deterioration in level of consciousness, and any symptomatic HT (any clinical worsening associated with HT, either major or minor).

sHT defined as a neurological deterioration within 48 h following rt-PA therapy with hematoma on CT scan.

HT defined as absent or present on MRI.

HT classified as symptomatic if parenchymal hematoma (PH) type 2 (PH-2) according to ECASS-II accompanied by an increase ≥4 points in NIHSS score or leading to death (SIST-MOST).

sHT defined as any acute intraparenchymal bleeding associated with worsening ≥4 points compared to the baseline NIHSS score.

HT was radiologically defined and classified into 5 subtypes modified from Berger et al. [28]: hemorrhagic infarct (HI) type 1 (HI-1); small petechiae along the margins of the infarct; HI type 2 (HI-2); more confluent petechiae within the infarcted area but without space-occupying effect; PH type 1 (PH-1), defined as a hematoma in <30% of the infarcted area with some space-occupying effect; PH-2, hematoma in >30% or the infarcted area with substantial space-occupying effect, and subarachnoid hemorrhage. Patients could have >1 hemorrhage type.

HT defined as any degree of hyperdensity within the area of low attenuation, and categorized as HI or PH. HI was defined as small petechiae along the margins of the infarct (HI-1) or as more confluent petechiae within the infarcted area but without space-occupying effect (HI-2). PH was defined as hematoma in 30% of the infarcted area with some slight space-occupying effect (PH-1) or as dense hematoma of ≥30% of the infarcted area with substantial space-occupying effect or as any hemorrhagic lesion outside the infarcted area (PH-2). In case of >1 hemorrhagic lesion on CT examination, the worst possible HT category was assumed. For analysis purposes, the authors considered HI-1 and HI-2 together and PH-1 and PH-2 together. HT was considered symptomatic if it was not seen on a previous CT and there was subsequently either a suspicion of hemorrhage or a decline in the neurological status.

Table 3

Description of predictors of HT

Bang et al. [13] 2007 (n = 104)Montanei [14] 2008 (n = 60) aUyttenboogaart et al. [15] 2008 (n = 252) bKim et al. [16] 2009 (n = 377)Meier et al. [17] 2009 (n = 311)Restrepo et al. [18] 2009 (n = 142)Bang et al. [19] 2009 (n = 26) cPaciaroni et al. [20] 2009 (n = 491) d
Ongoing anticoagulation at stroke onset reported++++++

Ongoing antiplatelet therapy at stroke onset reported++++++++

Acute treatment with intravenous rt-PA reported++++++++

Acute treatment with intra-arterial thrombolytic therapy reported++++

Acute treatment with intra-arterial mechanical device reported++++

Anticoagulant therapy received before assessment of HT reported??????+

Treatment with antiplatelet therapy received before assessment of HT????+??+

Prior arterial hypertension reported++++++++

Admission blood glucose level provided++++++

Admission blood pressure provided++++++

Admission NIHSS score provided++++++++

Presumed causes detailed++++++

Location of cerebral infarct detailed++++++

Infarct volume reported on DWI?NA+NA

ASPECT score reported?

Presence of leukoaraiosis reported+

Presence of silent infarcts reported

Presence of microbleeds reported+

Previous symptomatic stroke lesion reported+

+ = Characteristics fulfilled; − = characteristics not fulfilled; ? = unknown; NA = not applicable; DWI = diffusion-weighted imaging; ASPECT = Alberta Stroke Program Early CT Score.

Among 145 patients, 60 were evaluated for the association between HT and lipid profile.

Among 301 patients, 252 were evaluated for the association between HT and lipid profile.

Among 127 patients, 26 were evaluated for the association between HT and lipid profile.

Among 1,125 patients, 491 were evaluated for the association between HT and lipid profile.

Table 4

Method of the analysis

Bang et al. [13] 2007 (n = 104)Montaner [14] 2008 (n = 60) aUyttenboogaart et al. [15] 2008 (n = 252) bKim et al. [16] 2009 (n = 377)Meier et al. [17] 2009 (n = 311)Restrepo et al. [18] 2009 (n = 142)Bang et al. [19] 2009 (n = 26) cPaciaroni et al. [20] 2009 (n = 491) d
Missing data, %00000000
HT








 Total cholesterol
?
0
0
0
1
?
?
NA
 LDL cholesterol
13
0
0
6.9
10.9
?
?
?
 HDL cholesterol
?
0
0
6.9
6.7
NA
?
NA
 Triglycerides?006.95.4NANANA

Lipids levels presented as continuous variables++++++++

Comparison of 2 groups with and without++

allHT








sHT++++

Multivariate analysis with HT as dependent variable+

+
+
+



Lipid levels as independent variables++++

+ = Characteristics fulfilled; − = characteristics not fulfilled; ? = unknown; NA = not applicable.

Among 145 patients, 60 were evaluated for the association between HT and lipid profile.

Among 301 patients, 252 were evaluated for the association between HT and lipid profile.

Among 127 patients, 26 were evaluated for the association between HT and lipid profile.

Among 1,125 patients, 491 were evaluated for the association between HT and lipid profile.

Statistical Analysis of the Results of Included Studies

Individual Studies. The comparison of lipid profiles was possible in 2 studies [16, 17] for allHT versus no HT, and in 4 for sHT versus no sHT [13, 14, 15, 17] (table 5).
Table 5

Comparison of lipid profiles in patients with and without HT

HT
p valuesMultivariable analysis OR (95% CI)
present
absent
nmean (SD)nmean (SD)
Any type of HT
 Total cholesterol level
Kim et al. [16], 2009
74
176.08 (38.31)
303
182.66 (40.63)
0.210
0.85 (0.64–1.12) for 38.67 mg/dl increase
 Meier et al. [17], 200964197.60 (44.85)247202.63 (46.04)0.418NR

 LDL cholesterol level
 Kim et al. [16], 2009
74
104.87 (30.18)
303
114.16 (34.83)
0.045
0.72 (0.51–1.03) for 38.67 mg/dl increase
Meier et al. [17], 200964112.14 (37.89)247119.49 (38.67)0.220NR

 HDL cholesterol level
Kim et al. [16], 2009
74
45.27 (15.09)
303
43.34 (12.38)
0.660
NR
Meier et al. [17], 20096456.45 (15.85)24752.97 (14.69)0.111NR

 Triglycerides
 Kim et al. [16], 2009
74
116.02 (61.99)
303
115.14 (63.77)
0.890
NR
 Meier et al. [17], 200964156.76 (113.36)247155.88 (108.94)0.839NR

 Symptomatic HT
 Total cholesterol level
 Bang et al. [13], 2007
17
141.40 (40.9)
87
173.30 (39.2)
0.005
NR
 Montaner [14], 2008
5
215.94
55
221.80
0.860
NR
 Uyttenboogaart et al. [15], 2008
13
197.22 (46.40)
239
197.22 (46.40)
0.900
0.73 (0.40–1.34) for 38.67 mg/dl increase
 Meier et al. [17], 200915197.60 (46.40)247202.63 (46.04)0.720NR

 LDL cholesterol level
 Bang et al. [13], 2007
17
77.90 (40.5)
87
106.00 (32.5)
0.006
0.96 (0.941–0.995) for 38.67 mg/dl increase
 Montaner [14], 2008
5
139.05
55
135.53
0.820
NR
 Uyttenboogaart et al. [15], 2008
13
116.01 (30.94)
239
119.88 (38.67)
0.030
NR
 Meier et al. [17], 200915113.68 (35.18)247119.49 (38.67)0.548NR

 HDL cholesterol level
 Bang et al. [13], 2007
17
45.30 (13.6)
87
47.60 (12.3)
0.526
NR
 Montaner [14], 2008
5
49.70
55
56.63
0.270
NR
 Uyttenboogaart et al. [15], 2008
13
38.67 (11.60)
239
46.40 (19.34)
0.730
NR
 Meier et al. [17], 20091559.55 (18.17)24752.97 (14.69)0.205NR

 Triglycerides
 Bang et al. [13], 2007
17
97.90 (42.1)
87
103.50 (69.4)
0.772
NR
 Montaner [14], 2008
5
135.94
55
148.14
0.660
NR
 Uyttenboogaart et al. [15], 2008
13
221.43 (150.57)
239
159.43 (97.43)
0.020
2.16 (1.20–3.91) for 88.57 mg/dl increase
 Meier et al. [17], 200915164.74 (117.79)247155.88 (108.94)0.951NR

Lipid levels are provided in mg/dl. n = Number of patients; NR = not reported.

Meta-Analysis. The meta-analysis of comparisons of lipid profiles in patients with and without allHT included 2 studies [16, 17] gathering 688 patients. Detailed results are presented in figure 2 and table 5. LDL cholesterol levels were significantly lower in patients with allHT (p = 0.008), but not total cholesterol (p = 0.129), HDL cholesterol (p = 0.066) and triglycerides (p = 0.900).
Fig. 2

Influence of lipid profiles on HT risk in ischemic stroke patients.

The meta-analysis of lipid levels in patients with and without sHT included 4 studies [13, 14, 15, 17]. These 4 studies included 727 patients [13, 14, 15, 17]. One study [14] provided only mean values and no standard deviation. We used for this meta-analysis the standard deviation found in the study with the closest number of patients [13]. The detailed results are presented in figure 3 and table 5. Total cholesterol levels were significantly lower in patients with sHT (p = 0.035), while LDL (p = 0.056) and HDL cholesterol (p = 0.138), and triglyceride levels did not differ (p = 0.851).
Fig. 3

Influence of lipid profiles on the risk of sHT in ischemic stroke patients.

Discussion

This meta-analysis suggested that lower LDL cholesterol levels are associated with allHT, while lower total cholesterol levels are associated with sHT, and HDL cholesterol and triglycerides are not associated with the HT risk.

Methodology of Selected Studies

None of the 8 studies meeting the selection criteria [13, 14, 15, 17] was primarily designed to evaluate lipid profiles in HT explaining missing data, and there was heterogeneity for the assessment of HT. Most predictors of HT were taken into account except for silent vascular brain lesions, but a multivariate analysis including these predictors was available in only half of the studies. The external validity of the study population is therefore poor. The method used to analyze serum lipids was usually not detailed, and the delay between stroke onset and sample collection ranged from admission to the next morning or 7 days. A previous study suggested changes in cholesterol levels at the acute stage of stroke [21], but as this change is minimal [22], this has probably not had any influence on the results. Information on ongoing statin and fibrate therapy, and diet was not available in any study. This may have influenced the results, as statins and potentially fibrates may be associated with a better outcome in ischemic stroke [23, 24].

Relationship between Lipid Profiles and HT

It was not possible to analyze separately patients with and without reperfusion therapy, and according to the type of reperfusion therapy, because individual data were not available, and this would have led to subgroup analyses with a poor statistical power. The meta-analysis showed a significant association between a low LDL cholesterol level and the presence of allHT, and between a low total cholesterol level and the presence of sHT. These results are important, because 1 of the 2 individual studies included in the meta-analysis for allHT showed a nonsignificant tendency [17] and the other [16] was marginally significant. The influence of HDL cholesterol seems more disputable because none of the studies has shown any significant result for both allHT and sHT, and the meta-analyses provided nonsignificant results in opposite directions. There is no statistical association between baseline triglycerides and risk of both allHT and sHT, although 1 individual study [15] suggested higher triglyceride levels in sHT. Therefore, the association between lipid profile and risk of HT is likely to be mediated by LDL cholesterol. This result is important because LDL cholesterol may be influenced by statins. The question of whether rt-PA is safe in patients with low LDL cholesterol levels or on statin treatment is therefore important: although patients treated with statins have less severe cerebral infarcts [25], a large European multicenter study showed that this effect is lost in patients treated concomitantly with rt-PA [26]. The underlying mechanism of increased HT with low levels of LDL cholesterol is not established. Cholesterol may be important for the integrity of small vessels [8] and of the neurovascular unit. Although the mechanisms of HT and spontaneous ICH are different, it should be emphasized that the results of this meta-analysis mirror the findings of the INTERSTROKE [27] study showing a link between low LDL cholesterol and the risk of spontaneous ICH but not with those of SPARCL showing no relation between a low LDL cholesterol level and the risk of ICH [10].

Perspective

This systematic review suggests that patients with low LDL cholesterol levels have an increased risk of HT, but is not conclusive for the influence of HDL, and suggests no influence of triglyceride levels. The results of the meta-analysis are limited by methodological issues: (i) lipid profiles were not determined specifically to address the question of the relationship with HT in 7 studies and were heterogeneously assessed; (ii) no study was conducted to test the hypothesis that is the subject of this meta-analysis, and (iii) heterogeneity for the method of assessment of HT and unclear definition of HT or of its symptomatic presentation. Therefore, there is a risk that unmeasured biases could have affected the results. The main limitations of this study are that: (i) none of them was designed to address the study question; (ii) the HT definitions were not consistent among studies, and (iii) there were significant issues related to the measurement of lipid parameters. Therefore, these limitations of the data make conclusion quite weak unless confirmed by another large and properly designed study. The questions that should be addressed now are: (i) what is the mechanism of this increased risk of HT with low levels of LDL? (ii) Do statins contribute to the increased risk of HT or do anti-inflammatory properties of statins counterbalance this effect? (iii) Are these results valid in patients who were treated with rt-PA? Prospective studies recruiting non-selected ischemic stroke patients (treated or not by rt-PA) and designed specifically for that purpose as well as studies in animal models are required to solve these issues.

Disclosure Statement

None.
  27 in total

1.  Cholesterol measured before stroke thrombolysis is not associated with tissue plasminogen activator-related hemorrhagic transformation.

Authors:  Joan Montaner
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Review 2.  Invited commentary: low blood cholesterol, nonillness mortality, and other nonatherosclerotic disease mortality: a search for causes and confounders.

Authors:  D R Jacobs; M F Muldoon; L Råstam
Journal:  Am J Epidemiol       Date:  1995-03-15       Impact factor: 4.897

3.  Cholesterol level and symptomatic hemorrhagic transformation after ischemic stroke thrombolysis.

Authors:  O Y Bang; J L Saver; D S Liebeskind; S Starkman; P Villablanca; N Salamon; B Buck; L Ali; L Restrepo; F Vinuela; G Duckwiler; R Jahan; T Razinia; B Ovbiagele
Journal:  Neurology       Date:  2006-12-20       Impact factor: 9.910

4.  Risk factors for ischaemic and intracerebral haemorrhagic stroke in 22 countries (the INTERSTROKE study): a case-control study.

Authors:  Martin J O'Donnell; Denis Xavier; Lisheng Liu; Hongye Zhang; Siu Lim Chin; Purnima Rao-Melacini; Sumathy Rangarajan; Shofiqul Islam; Prem Pais; Matthew J McQueen; Charles Mondo; Albertino Damasceno; Patricio Lopez-Jaramillo; Graeme J Hankey; Antonio L Dans; Khalid Yusoff; Thomas Truelsen; Hans-Christoph Diener; Ralph L Sacco; Danuta Ryglewicz; Anna Czlonkowska; Christian Weimar; Xingyu Wang; Salim Yusuf
Journal:  Lancet       Date:  2010-06-17       Impact factor: 79.321

5.  Tissue plasminogen activator for acute ischemic stroke.

Authors: 
Journal:  N Engl J Med       Date:  1995-12-14       Impact factor: 91.245

6.  Low level of low-density lipoprotein cholesterol increases hemorrhagic transformation in large artery atherothrombosis but not in cardioembolism.

Authors:  Beom Joon Kim; Seung-Hoon Lee; Wi-Sun Ryu; Bong Su Kang; Chi Kyung Kim; Byung-Woo Yoon
Journal:  Stroke       Date:  2009-03-12       Impact factor: 7.914

7.  Impact of hyperlipidemia and statins on ischemic stroke outcomes after intra-arterial fibrinolysis and percutaneous mechanical embolectomy.

Authors:  Lucas Restrepo; Oh Young Bang; Bruce Ovbiagele; Latisha Ali; Doojin Kim; David S Liebeskind; Sidney Starkman; Fernando Vinuela; Gary R Duckwiler; Reza Jahan; Jeffrey L Saver
Journal:  Cerebrovasc Dis       Date:  2009-08-22       Impact factor: 2.762

8.  Secondary prevention of stroke in patients with atrial fibrillation: factors influencing the prescription of oral anticoagulation at discharge.

Authors:  Dominique Deplanque; Didier Leys; Lucilla Parnetti; Reinhold Schmidt; Jose Ferro; Jacques de Reuck; Jean-Louis Mas; Virgilio Gallai
Journal:  Cerebrovasc Dis       Date:  2006-02-15       Impact factor: 2.762

9.  Prior statin use, intracranial hemorrhage, and outcome after intra-arterial thrombolysis for acute ischemic stroke.

Authors:  Niklaus Meier; Krassen Nedeltchev; Caspar Brekenfeld; Aekaterini Galimanis; Urs Fischer; Oliver Findling; Luca Remonda; Gerhard Schroth; Heinrich P Mattle; Marcel Arnold
Journal:  Stroke       Date:  2009-03-05       Impact factor: 7.914

10.  Association of outcome with early stroke treatment: pooled analysis of ATLANTIS, ECASS, and NINDS rt-PA stroke trials.

Authors:  Werner Hacke; Geoffrey Donnan; Cesare Fieschi; Markku Kaste; Rüdiger von Kummer; Joseph P Broderick; Thomas Brott; Michael Frankel; James C Grotta; E Clarke Haley; Thomas Kwiatkowski; Steven R Levine; Chris Lewandowski; Mei Lu; Patrick Lyden; John R Marler; Suresh Patel; Barbara C Tilley; Gregory Albers; Erich Bluhmki; Manfred Wilhelm; Scott Hamilton
Journal:  Lancet       Date:  2004-03-06       Impact factor: 79.321

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  8 in total

1.  Risk Factors for Hemorrhagic Transformation in Patients with Acute Middle Cerebral Artery Infarction.

Authors:  Levent Öcek; Derya Güner; İrem Fatma Uludağ; Bedile İrem Tiftikçioğlu; Yaşar Zorlu
Journal:  Noro Psikiyatr Ars       Date:  2015-12-01       Impact factor: 1.339

Review 2.  Hemorrhagic transformation after cerebral infarction: current concepts and challenges.

Authors:  Jie Zhang; Yi Yang; Huijie Sun; Yingqi Xing
Journal:  Ann Transl Med       Date:  2014-08

3.  Statin, cholesterol, and sICH after acute ischemic stroke: systematic review and meta-analysis.

Authors:  Changhong Tan; Xi Liu; Lijuan Mo; Xin Wei; Wuxue Peng; Hui Wang; Wen Zhou; Jin Jiang; Yangmei Chen; Lifen Chen
Journal:  Neurol Sci       Date:  2019-07-02       Impact factor: 3.307

Review 4.  Hemorrhagic Transformation After Tissue Plasminogen Activator Treatment in Acute Ischemic Stroke.

Authors:  Chengli Liu; Jie Xie; Shanshan Sun; Hui Li; Tianyu Li; Chao Jiang; Xuemei Chen; Junmin Wang; Anh Le; Jiarui Wang; Zhanfei Li; Jian Wang; Wei Wang
Journal:  Cell Mol Neurobiol       Date:  2020-10-30       Impact factor: 5.046

5.  Early prediction of the 3-month outcome for individual acute ischemic stroke patients who received intravenous thrombolysis using the N2H3 nomogram model.

Authors:  Shan Lv; Yu Song; Fu-Liang Zhang; Xiu-Li Yan; Jie Chen; Liang Gao; Zhen-Ni Guo; Yi Yang
Journal:  Ther Adv Neurol Disord       Date:  2020-09-04       Impact factor: 6.570

6.  The hemorrhagic transformation index score: a prediction tool in middle cerebral artery ischemic stroke.

Authors:  Mikhail N Kalinin; Dina R Khasanova; Murat M Ibatullin
Journal:  BMC Neurol       Date:  2017-09-07       Impact factor: 2.474

Review 7.  The cerebral circulation and cerebrovascular disease III: Stroke.

Authors:  Ankush Chandra; Christopher R Stone; Xiangnan Du; William A Li; Mitchell Huber; Richard Bremer; Xiaokun Geng; Yuchuan Ding
Journal:  Brain Circ       Date:  2017-07-18

8.  Serum lipid level is not associated with symptomatic intracerebral hemorrhage after intravenous thrombolysis for acute ischemic stroke.

Authors:  Ting-Chun Lin; Yen-Kuang Lin; Chin-I Chen; Lung Chan; Nai-Fang Chi; Rey-Yue Yuan; Jau-Jiuan Sheu; Chun-Ren Wei; Jui-Ping Tsai; Tu-Hsueh Yeh
Journal:  PeerJ       Date:  2018-11-23       Impact factor: 2.984

  8 in total

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