Alkaline phosphatase and mortality in stroke patients: a systematic review
Highlight box
Key findings
• Elevated alkaline phosphatase (ALP) levels are associated with increased mortality in stroke patients.
What is known and what is new?
• No predictive models for mortality in stroke are routinely used in clinical practice. The addition of blood biomarkers to clinical models might improve their prediction capacity. Over 150 candidate stroke biomarkers have been studied. However, there is still a lack of trackable biomarkers capable of predicting stroke mortality, and that may play a role in its prevention.
• This review has demonstrated that the elevation of ALP levels is consistently associated to increased mortality after stroke. Studies comparing the highest to the lowest ALP quintiles and quartiles showed that the mortality risk is 1.8 and 2.4 times, respectively.
What is the implication, and what should change now?
• ALP levels may provide a cost-effective prognostic indicator of stroke-related mortality. This finding warrants further investigation in future primary studies that follow standardized methodologies.
Introduction
Stroke is a major cause of death and the leading cause of disability worldwide. Stroke-related complications occur most frequently during the first week after stroke and are associated with higher mortality risk during hospital stay and a longer hospital stay (1). The risk for death is highest in the acute phase of a stroke and then gradually declines. A study from the Danish MONICA project (2) found that the most frequent cause of death in patients with non-fatal strokes was cardiovascular disease, with 32.1% of deaths due to cerebrovascular disease and 22.7% to ischemic heart disease.
Different predictive models for mortality in stroke have been developed (3), but none of them are routinely used in clinical practice. These models include clinical variables, such as age and stroke severity, as predictors of poor outcome and mortality (4). It has been suggested that the addition of blood biomarkers to clinical models might improve their prediction capacity. Over 150 candidate stroke biomarkers have been studied (5). However, there is still a lack of trackable biomarkers capable of predicting the risk and prognosis of stroke, and that may play a role in stroke mortality prevention. Biomarkers could be used to help identify high-risk patients, allowing more aggressive therapeutic strategies targeted at those most likely to benefit. One possible candidate as a diagnostic and prognostic biomarker for stroke is alkaline phosphatase (ALP). This enzyme is responsible for catalyzing the hydrolysis of organic pyrophosphate, an inhibitor of vascular calcification, thus promoting the enhancement of vascular calcification, accelerating the stiffening of vessels, decreasing vascular compliance and consequently promoting atherosclerosis (6). The possible involvement of the serum ALP levels in the risk of cardiac and cerebrovascular diseases as well as in poor outcomes and all-cause mortality after stroke has been under study in recent years.
Given these considerations, we aimed to conduct a systematic review concerning the association between ALP levels and all-cause mortality after stroke and its use as a possible predictor of mortality in this context. We present this article in accordance with the PRISMA reporting checklist (available at https://atm.amegroups.com/article/view/10.21037/atm-23-1627/rc) (7).
Methods
Eligibility criteria
We searched for original studies focused on the impact of ALP levels on overall mortality, in patients who had a past diagnosis of stroke event of any type (ischemic or hemorrhagic) or a transient ischemic attack (TIA).
Articles that only analyzed the incidence of stroke or TIA in the general population (patients without previous stroke events) or that did not present data on mortality were excluded. Case reports, systematic reviews, review articles and studies including animal models were not considered for this study.
No specific limit of time after stroke was defined in which our primary outcome (mortality) had to occur. With this in mind, follow-up time was not considered as an exclusion criterion.
No articles were excluded based on publication date or the language in which the studies were written.
Search strategy
A comprehensive literature search was carried out to identify all reported articles relating the impact of ALP levels on mortality after stroke. This search was conducted on the databases Medline (PubMed) and Web of Science.
The search took place on the 30th of October 2022 in the Web of Science database and on the 31st of October 2022 in the Medline database, using the following query: (“alkaline phosphatase” [MeSH Terms]) OR (“alkaline phosphatase”[All Fields]) AND (“stroke”[MeSH Terms] OR “stroke”[All Fields]).
Additionally, to avoid missing reports, we manually scanned the list of references from the included studies and of the previous review focusing on the relation between ALP and stroke (8).
Selection process
Eligibility was evaluated by four investigators, who independently assured that all the inclusion and exclusion criteria were met. In the screening phase, only the title and the abstract were analyzed. After this process, 22 articles were considered eligible. Full-text critical assessment of the 22 articles followed and 9 articles were included in this systematic review. Divergent opinions regarding the relevance of articles were solved by consensus between the authors.
Data collection process and data item
Data extraction was individually done, by the four above mentioned authors, from the data published in the selected articles, and then compared between the investigators. Any doubtful situation was solved by consensus between the authors.
Study quality assessment
Global article quality assessment was carried out according to the National Heart, Lung and Blood Institute study quality assessment tools (available at https://www.nhlbi.nih.gov/health-topics/study-quality-assessment-tools) and is presented in Table S1.
Outcome measures
Our primary outcome was the association between the level of ALP and the risk for all-cause mortality, in the period after a stroke event, either ischemic or hemorrhagic, or after a TIA. No statistical analysis was carried out. Arithmetic analysis of the number of deceased patients in studies comparing the highest to the lowest ALP quintiles and in studies comparing the highest to the lowest ALP quartiles was made by retrieving the data from the original reports.
Results
Study selection
In the screening phase, only original observational articles, involving either prospective or retrospective data collection, were included and also a letter to the editor, since it was possible to extract relevant association data from it (9). After applying our inclusion and exclusion criteria, 22 articles were selected for full-text analysis, which was independently performed by four different reviewers. This process is further detailed in Figure 1. The data extracted from the thirteen articles excluded after full-text analysis is exposed in the Table S2.
The process of article selection was finalized with a total number of nine articles selected for the purpose of the present study (10-18) (Figure 1). The complete set of studies is presented in Table 1.
Table 1
Author (year, country) | Study type | Number of pts (recruitment time period) | Stroke type | Follow-up | ALP levels (IU/L) | Main mortality findings |
---|---|---|---|---|---|---|
Ryu et al. (10) (2010, Korea) | Prospective | 2,029 (from October 2002 to September 2008) | Ischemic (89%) and hemorrhagic (11% SAH excluded) | 2.5 years (mean of 923 days), with 3-month intervals | Quintiles (Q1, <57; Q2, 57–69; Q3, 70–81; Q4, 82–97; Q5, >97) | Mortality outcome: all-cause mortality and vascular death |
Kaplan-Meier survival analysis: | ||||||
• All-cause mortality: | ||||||
In patients with ischemic stroke, the difference of all-cause death among the quintiles was significant | ||||||
In patients with hemorrhagic stroke, the mortality rate appeared to be different among groups, but the difference failed to reach statistical significance | ||||||
• Vascular death: | ||||||
The differences in vascular death rate were significant in all patients and those exhibiting ischemic stroke, but not in those who had had hemorrhagic stroke | ||||||
Cox regression models: | ||||||
• All-cause mortality: | ||||||
Compared with Q1, adjusted hazard ratios of the Q3, Q4 and Q5 for all-cause death were 1.67 (95% CI: 1.12–2.49), 1.79 (95% CI: 1.20–2.67), and 2.83 (95% CI: 1.95–4.10), respectively | ||||||
The top quintile of ALP levels (Q5, ≥97 IU/L) was associated with ~2.8-fold increased risk of all-cause mortality, compared with the lowest quintile of ALP. This association was also significant irrespective of stroke types: ischemic stroke (HR 2.51) or hemorrhagic stroke (HR 5.79) | ||||||
• Vascular death: | ||||||
The independent predictive power was similar (HR for all strokes, 2.78; for ischemic stroke, 2.53; for hemorrhagic stroke, 11.37) | ||||||
Inclusion of ALP improved the predictive value of the initial model, with an increase in AUC from 0.762 to 0.789 (95% CI: 0.762–0.817; P for difference =0.003) | ||||||
Gupta et al. (11) (2012, India) | Prospective | 111 (from April 2008 to July 2009) | Hemorrhagic (acute hypertensive intracerebral hemorrhage) | 30 days | – | Mortality outcome: all-cause mortality |
Elevated serum ALP correlated significantly with death | ||||||
Mean ± SD ALP: | ||||||
Expired pts (n=54): 133.1±122.0 versus | ||||||
Survived pts: 119.6±108.8 | ||||||
P=0.02 | ||||||
Pratibha et al. (12) (2014, India) | Prospective | 60 (from June 2011 to November 2011) | Ischemic and hemorrhagic (SAH excluded) | 1 year at least, with 3-month intervals | Quintiles (Q1, <60; Q2, 60–79; Q3, 80–99; Q4, 100–119; Q5, >120) | Mortality outcome: all cause deaths |
Patients with higher ALP had higher incidence of all cause deaths and vascular deaths | ||||||
P value for: | ||||||
All cause deaths: P=0.01 | ||||||
Vascular deaths: P=0.02 | ||||||
Tan et al. (13) (2016, China) | Retrospective | 639 (from January 2013 to December 2013) | Hemorrhagic (ICH-SAH and hemorrhagic transformation of ischemic stroke excluded) | – | Quartiles (Q1, 31–63; Q2, 64–77; Q3, 78–95; Q4, 96–700) | Mortality outcome: 30-day death and 90-day death (death defined as all-cause case fatality) |
Q2: | ||||||
30-day death: 35 (22.7); OR (95% CI): 2.074 (1.126–3.820) | ||||||
90-day death: 39 (25.3); OR (95% CI): 2.392 (1.310–4.368) | ||||||
Q4: | ||||||
30-day death: 48 (29.8); OR (95% CI): 2.996 (1.665–5.390) | ||||||
90-day death: 51 (31.7); OR (95% CI): 3.270 (1.823–5.864) | ||||||
ALP was independently associated with all outcomes, even after data adjustment | ||||||
Zhong et al. (14) (2017, China) | Prospective | 2,944 (from December 2013 to May 2014) | Ischemic (final diagnosis of TIA was excluded) | Hospitalization period of each patient, a mean of 10.0 (8.0–14.0) days of hospital-stay | Quartiles (Q1, <65; Q2, 65–78; Q3, 78–96; Q4, >96) | Mortality outcome: in-hospital mortality (death from any cause during hospitalization) |
Patients in the highest ALP quartile had the highest cumulative incidence of in-hospital mortality (log-rank P=0.012) | ||||||
In age- and sex-adjusted Cox model, the HR of early death was significantly higher among study participants with ALP in the highest quartile (≥96 IU/L) compared with those in the lowest quartile <65 IU/L). After additional adjustment for admission NIHSS score, baseline estimated glomerular filtration rate, medical history, and other covariates, HR (95% CI) for the highest quartile of ALP was 2.19 (1.20–4.00) for in-hospital mortality compared with the lowest quartile | ||||||
A linear relationship between ALP and in-hospital mortality was suggested | ||||||
Zong et al. (15) (2018, China) | Retrospective | 16,367 | Ischemic and hemorrhagic stroke (SAH and spontaneous intracerebral hemorrhage confirmed by brain imaging) or TIA | 1 year | Quintiles (Q1, ≤59.0; Q2, 59.0–70.9; Q3, 70.9–82.0; Q4, 82.0–98.0; Q5, >98.0) | Mortality outcome: all-cause mortality |
The 1-year rates of all outcomes increased by ALP quintiles (P<0.0001 for all-cause mortality) | ||||||
In the top ALP quintile, the incidence rates of all-cause mortality were 12.6%. Compared with Q1, the adjusted odds ratio of the highest quintile was 1.36 (1.10–1.68) for all-cause mortality | ||||||
Elevated serum ALP levels >98 IU/L were associated with ~1.4-fold higher risk for all-cause mortality, compared with ALP levels <59 IU/L | ||||||
Liu et al. (16) (2020, China) | Prospective | 1,922 (from January to December, 2015) | Ischemic (MIS defined by a NIHSS score at admission ≤3) | 1, 3, 6 and 12 months |
– | Mortality outcome: all-cause mortality |
The results of univariate analysis showed that the factors associated with death included ALP (ALP, IU/L in the dead patients of 87.2±43.7, versus ALP, IU/L in the non-dead patients of 77.2±24.7, P=0.012) | ||||||
ALP levels (OR =1.01; 95% CI: 1.00–1.02; P=0.023) were independent risk factors associated with all-cause mortality at 1 year after MIS onset | ||||||
Nezu et al. (17) (2020, Japan) | Retrospective | 1,484 (from October 2009 to September 2018) | Ischemic | – | Quartiles (Q1, ≤192; Q2, 193–238; Q3, 239–296; Q4, ≥297) | Mortality outcome: death at 3 months. The mortality outcome was a secondary outcome |
The patients who had died by 3 months had higher ALP levels than survivors (412.6±565.2 versus 254.4±107.0 IU/L, P value <0.001) | ||||||
Guo et al. (18) (2022, China) | Prospective | 2,799 (from January to December 2015) | Ischemic or hemorrhagic stroke (SAH and spontaneous intracerebral hemorrhage confirmed by CT or MRI) or TIA | 1 and 3 months | Quartiles (Q1, ≤62.9; Q2, 63.0–76.7; Q3, 76.8–92.9; Q4, ≥93.0) | Mortality outcome: all-cause mortality |
In Q4 group, the incidence of all-cause mortality was 7.8%. After being adjusted for confounding variables, patients in Q4 had an increased risk of all-cause mortality (OR =2.17, 95% CI: 1.19–3.96; P=0.011) | ||||||
The optimal range of ALP for all-cause mortality was seen in Q2, with a nadir level of 70 IU/L | ||||||
A continuous variable analysis demonstrated that the risk of death increases by 7% after being adjusted for potential confounding variables (adjusted OR =1.07, 95% CI: 1.01–1.14; P=0.03) when ALP rises per 10 IU/L |
pts, patients; ALP, alkaline phosphatase; SAH, subarachnoid hemorrhage; Q, quartiles; CI, confidence interval; HR, hazard ratio; AUC, area under the curve; SD, standard deviation; ICH, intracerebral hemorrhage; OR, odds ratio; TIA, transient ischemic attack; NIHSS, National Institutes of Health Stroke Scale; MIS, minor ischemic stroke; CT, computed tomography; MRI, magnetic resonance imaging.
Study characteristics
Stroke was defined by the World Health Organization (WHO) clinical criteria (19) in five of the nine articles (10,11,13,14,16), as rapidly developing clinical signs of focal (or global) disturbance of cerebral function, lasting more than 24 hours or leading to death with no apparent cause other than of vascular origin. Five studies (13-16,18) confirmed the clinical diagnosis through brain imaging [computed tomography (CT) or magnetic resonance imaging (MRI) scan]. Not all articles studied populations with the same type of stroke. Three studies (14,16,17) focused on mortality purely after ischemic stroke, two (11,13) purely after hemorrhagic stroke and four (10,12,15,18) after either hemorrhagic or ischemic stroke. Regarding the studies that considered patients who suffered a hemorrhagic stroke, three studies excluded hemorrhagic strokes caused by subarachnoid hemorrhage (SAH) (10,12,13), while the other two (15,18) included both SAH and spontaneous intracerebral hemorrhage as hemorrhagic strokes. From those that focused solely on ischemic stroke, two (15,18) also included TIA, whilst Zhong et al. (14) excluded patients diagnosed with TIA. Liu et al. (16) specifically evaluated patients with minor ischemic stroke, defined as a National Institutes of Health Stroke Scale (NIHSS) score at admission lower or equal to 3. Two articles (10,17) detailed the aetiology of the ischemic stroke events according to the Trial of Org 10172 in Acute Stroke Treatment (TOAST) criteria (20). Still concerning the seven ischemic stroke focused articles (Table 1), not all apply the same criteria regarding the inclusion of patients who underwent thrombolytic treatment. Ryu et al. (10) included 159 patients (7.8%) that had been submitted to thrombolytic treatment. Zhong et al. (14) included 70 patients (2.4%) who have received thrombolytic therapy, but also conducted a sensitivity analysis excluding these patients. Nezu et al. (17) excluded all patients that underwent either intravenous thrombolysis or endovascular treatment. The remaining four ischemic stroke focused articles, during their population selection process, do not conduct any type of restriction regarding thrombolytic therapy.
An acceptable period of time, after onset of stroke symptoms and until admission, was defined for each study, except for Liu et al. (16) in which the only criteria for enrollment was a NIHSS lower or equal to 3 at admission. The time of onset of the stroke was defined as the time in which the patient or observer first became aware of the symptoms. One article (12) considered patients eligible for enrollment if they were admitted within 2 weeks from symptom onset, six articles (10,13-15,17,18) within 7 days and one article (11) within 3 days. It is thus expected that the levels of ALP at admission of some patients might not accurately reflect the levels at stroke onset. For this reason, Zhong et al. (14) restricted their analysis to patients with time from onset to admission inferior to 2 days and their findings remained unaltered.
Of the nine included articles, three were retrospective analyses (13,15,17) and six were prospective studies (10-12,14,16,18). All the studies were published between 2010 and 2022.
China contributed with most of the studies (n=5). The remaining studies were conducted in Korea (n=1), Japan (n=1), and in India (n=2). The sample size included in the studies varied from 60 to 16,367 patients.
Available demographics and comorbidities data were extracted and are presented in Table 2.
Table 2
Author | Age, years | Male sex | Hypertension | Diabetes | Dyslipidemia | Current smoking | Previous stroke | Heart disease | BMI on admission, kg/m2 |
---|---|---|---|---|---|---|---|---|---|
Ryu et al. (10) | 65.2±12.4 | 1,243 (61.3) | 1,385 (68.3) | 654 (32.2) | 435 (21.4) | 410 (20.2) | 479 (23.6) | 575 (28.3) | – |
Gupta et al. (11) | 66.4 (expired pts) versus 64.5 (survived pts) | 72 (64.9) | 34 (30.6) | 20 (18.0) | – | 32 (28.9) | Excluded | – | – |
Pratibha et al. (12) | – | 35 (58.3) | 37 (61.7) | 21 (12.6) | – | 16 (26.7) | 10 (16.7) | 18 (10.8) | – |
Tan et al. (13) | 54.87±16.37 | 414 (64.8) | 421 (65.9) | 143 (22.4) | 172 (26.9) | 120 (18.8) | – | – | – |
Zhong et al. (14) | 68.7±12.9 | 1,697 (57.6) | 2,291 (77.8) | 757 (25.7) | – | 578 (19.6) | 661 (22.5) | 167 (5.7) | – |
Zong et al. (15) | 63.9 | 10,360 (63.3) | 12,109 (74.5) | 2,917 (17.8) | 1,688 (10.3) | 7,069 (43.2) | 5,570 (34) | 1,975 (12.1) | 23.9 (22.0–25.7) |
Liu et al. (16) | 64.0 | 1,195 (62.2) | 768 (68.5) | 242 (21.6) | 77 (6.9) | 287 (25.6) | 297 (26.5) | – | 23.9 (22.2–25.6) |
Nezu et al. (17) | 73.24 (Q1, 71.8±12.8; Q2, 73.0±11.6; Q3, 74.1±10.8; Q4, 74.1±10.5) | 924 (62.3) | 1,029 (69.3) | 514 (34.7) | 734 (49.6) | 313 (21.4) | 407 (27.4) | 160 (10.8) | – |
Guo et al. (18) | 63.9±12.5 | 1,740 (62.2) | 2,004 (71.6) | 603 (1.5) | – | 671 (24.0) | 769 (7.5) | – | 28.3±3.5 |
Values are presented as n (%), mean ± SD or median (IQR). BMI, body mass index; pts, patients; Q, quartiles; n, number; SD, standard deviation; IQR, interquartile range.
Since liver disease might affect ALP levels, five studies (10-13,15) excluded patients with established liver disease. Additionally, as alcohol consumption, even in small amounts, can cause derangement in liver function, Pratibha et al. (12) defined alcohol consumption within the previous 3 months as an exclusion criterion. In contrast, six articles (13-18) included data on alcohol consumption, and it ranged from 9.6% (14) to 29.7% of patients (17) (Table 3).
Table 3
Author | Liver disease | Alcohol consumption, n (%) |
---|---|---|
Ryu et al. (10) | Excluded (self-reported or increased total bilirubin level >1.3 mg/dL) | – |
Gupta et al. (11) | Excluded (previous episodes of jaundice or documented deranged liver function tests) | Excluded (alcoholic patients, significant alcohol intake “defined as consumption of up to 1 drink per day for women and up to 2 for men. Twelve fluid ounces of regular beer, 5 fluid ounces of wine, or 1.5 fluid ounces of 80-proof distilled spirits is taken as one drink. This definition is not intended as an average over several days but rather as the amount consumed on any single day”) |
Pratibha et al. (12) | Excluded (increased total bilirubin level >1.3 mg/dL) | Excluded (within past 3 months) |
Tan et al. (13) | Excluded (if severe or manifest liver-related syndrome) | 90 (14.1) |
Zhong et al. (14) | – | 283 (9.6) |
Zong et al. (15) | Excluded (self-reported) | Moderate to heavy, 4,658 (28.5) |
Liu et al. (16) | – | 271 (24.2) |
Nezu et al. (17) | – | 434 (29.7) |
Guo et al. (18) | – | Moderate to heavy, 664 (3.7) |
Synthesis of results
As depicted on Table 1, the nine studies included in this review defined mortality after stroke as one of their outcomes. Nevertheless, not all studies have the same follow-up period, allowing for mortality to be accounted, as an outcome, at different time intervals post stroke occurrence. Ryu et al. (10) followed their enrolled patients for a maximum period of 2.5 years, three studies (12,15,16) for 1 year, two studies (17,18) for 3 months, one study (13) for 90 days, one study (11) for 30 days and one study (14) only for the hospitalization period of each patient, a mean of 10.0 (8.0–14.0) days of hospital stay.
Elevated serum ALP correlated significantly and independently with all-cause mortality in all the studies included in our systematic review, even after data adjustment for potential confounding variables (Table 1), and specifically with vascular death, defined as death caused by stroke, myocardial infarction, heart failure, pulmonary embolism, cardiac arrhythmia, or other definite vascular causes, in two studies (10,12).
The studies comparing the highest to the lowest ALP quintiles (10,12,15) showed an aggregate value of 1.8 times greater risk of mortality for the former, when compared to the latter. The studies comparing the highest to the lowest ALP quartiles for which data were available (13,18) showed an aggregate value of 2.4 times greater risk of mortality for the former, when compared to the latter.
All of the nine studies included in this systematic review estimated, at admission, the severity of neurologic impairment using either the NIHSS or the Glasgow Coma Scale (GCS), as shown in Table 4. Seven of the nine studies (10,13-18) conducted data adjustment for the NIHSS or GCS score at admission. This covariate was selected to integrate multivariable adjusted models since stroke severity has been associated with mortality after stroke and ALP levels (21,22). ALP remained independently associated with mortality after adjustment for admission NIHSS or GCS score and this association was not weakened.
Table 4
Author | Initial neurological severity | |
---|---|---|
NIHSS | GCS | |
Ryu et al. (10) | Median value of 4 with an IQR of 2–8 | – |
Gupta et al. (11) | – | Expired patients, mean ± SD: 6.6±2.8 versus survived patients, mean ± SD: 11.2±3.2 |
Pratibha et al. (12) | According to ALP levels quintiles, mean ± SD: Q1 (<60), 3.5±0.5774; Q2 (60–79), 5.87±3.6; Q3 (80–99), 6.0±2.93; Q4 (100–119), 13.86±6.56; Q5 (>120), 9.27±6.42 |
– |
Tan et al. (13) | – | Median value of 11 with an IQR of 7–15 |
Zhong et al. (14) | Median value of 4 with an IQR of 2–7 | – |
Zong et al. (15) | Median value of 3 with an IQR of 1–7 | – |
Liu et al. (16) | Median value of 1 with an IQR of 0–2 | – |
Nezu et al. (17) | Median value of 3 with an IQR of 1–7.5 | – |
Guo et al. (18) | Median value of 4 with an IQR of 2–7 | – |
NIHSS, National Institutes of Health Stroke Scale; GCS, Glasgow Coma Scale; IQR, interquartile range; SD, standard deviation; ALP, alkaline phosphatase; Q, quartiles.
From the six above mentioned studies that included data on alcohol consumption, all included this variable in their multivariable models. Zong et al. (15) even conducted a stratified analysis by alcohol consumption that showed that the effects of ALP on mortality were not changed by alcohol consumption.
Data concerning other main prognostic findings, besides mortality, were available for six studies (12,13,15-18) (Table 5). Elevated ALP levels were significantly associated with increased risk of adverse stroke outcomes, except for two studies (16,18).
Table 5
Author | Other main prognostic findings | |
---|---|---|
Poor functional outcome defined by a mRS score >2 (3 to 6) | Poor prognosis otherwise defined | |
Pratibha et al. (12) | – | Poor prognostic outcome: vascular events |
“Vascular event may be stroke, myocardial infarction, heart failure, pulmonary embolism, cardiac arrhythmia, or other definite vascular causes” | ||
“Patients with higher ALP had higher incidence of recurrent vascular events without death (P=0.008)” | ||
Tan et al. (13) | Poor prognosis outcome: 90-day poor functional outcome after ICH | – |
90-day poor outcome: | ||
Q2: 85 (55.2); OR (95% CI) 1.909 (1.213–3.007) | ||
Q4: 100 (62.1); OR (95% CI) 2.541 (1.613–4.004) | ||
ALP in Q2 and Q4 had significantly higher incidence of all outcomes when compared to that in Q1 | ||
ALP, in this study, was independently associated with all outcomes, even after data adjustment | ||
Zong et al. (15) | Poor prognosis outcome: poor functional outcome | Poor prognosis outcomes: recurrent stroke |
“The 1-year rates of all outcomes increased by ALP quintiles (P<0.0001) for poor functional outcome” | Recurrent stroke defined as ischemic stroke, intracranial hemorrhage and SAH | |
In the top ALP quintile, the incidence rates of poor functional outcome were 27.0% | “The 1-year rates of all outcomes increased by ALP quintiles (P<0.001 for recurrent stroke)” | |
“For poor functional outcome, the adjusted odds ratio of the third ALP quintile was 1.21 (1.03–1.41), of the fourth quintile was 1.24 (1.06–1.45). and of the fifth quintile was 1.36 (1.17–1.60), compared with the first quintile of ALP levels (P<0.0001)” | In the top ALP quintile, the incidence rates of recurrent stroke were 5.7% | |
“Elevated ALP levels (especially >120 IU/L) were significantly associated with increased risk of adverse stroke outcomes” | Compared with the first ALP quintile, the adjusted OR of the highest quintile was 1.45 (1.11–1.90) for stroke recurrence | |
“Elevated serum ALP levels >98 IU/L were associated with ~1.4-fold higher risk for poor functional outcomes after stroke, compared with ALP levels <59 IU/L” | “Elevated serum ALP levels >98 IU/L were associated with ~1.4-fold higher risk for stroke recurrence, compared with ALP levels <59 IU/L” | |
Liu et al. (16) | Poor prognosis outcome: 1-year stroke disability | Poor prognosis outcome: 1-year stroke recurrence |
Results of univariate analysis showed “there was no significant difference between patients with versus without 1-year disability in the ALP levels (P=0.165)” | Stroke recurrence included cerebral infarction, cerebral hemorrhage, subarachnoid hemorrhage | |
Results of univariate analysis showed “there was no significant difference between patients with versus without 1-year stroke recurrence in the ALP levels (P=0.104)” | ||
Nezu et al. (17) | Poor prognosis outcome: poor functional outcome. The poor prognosis outcome was a primary outcome | – |
“The patients with poor outcomes had higher ALP levels than those with good outcomes (294.3±259.5 vs. 246.3±92.5 IU/L, P<0.001)” | ||
“The optimal cutoff ALP level to predict patients with poor outcomes was ≥288 U/L, with a sensitivity of 55%, a specificity of 59%, and an area under the ROC curve of 0.578” | ||
“Multivariable analysis revealed that increased ALP levels were independently associated with poor stroke outcome after adjusting for several baseline characteristics and laboratory findings” | ||
“Conversely, a 1−SD increase in ALP levels was independently associated with mRS scores of 3–6 at 3 months among patients with a premorbid mRS score of 0–1 in each model (OR 1.32 95% CI: 1.10–1.59, P<0.001, model 1, OR 1.24, 95% CI: 1.01–1.53, P=0.041, model 2 and OR 1.34, 95% CI: 1.09–1.66, P=0.002, model 3)” | ||
Guo et al. (18) | Poor prognosis outcome: poor functional outcomes | Poor prognosis outcome: recurrent stroke |
The rates of “poor functional outcome at 3 months were higher in the Q4 group when compared with the Q1, Q2, and Q3 groups (P<0.001)” | “Recurrent stroke included a new occurrence of ischemic stroke, TIA, spontaneous intracranial hemorrhage or SAH during the follow-up” | |
In the Q4 (≥93.0 U/L) group, the incidences of poor functional outcomes were 24.9% | At 3 months, “there was no significant difference in recurrent stroke among different ALP quartiles (P=0.097)” | |
“However, differences were statistically insignificant between ALP levels and poor functional outcomes (P>0.05)” | In the Q4 (≥93.0 U/L) group, the incidences of recurrent stroke were 2.7% | |
In the multivariate logistic regression, the risk of “poor functional outcomes (adjusted OR =1.04, 95% CI: 0.98–1.08; P=0.086) did not increase with ALP levels” | After being adjusted for confounding variables, “patients in Q3 (76.8–92.9 U/L) were related to a lower risk of recurrent stroke (OR =0.37, 95% CI: 0.14–0.97; P=0.043) at the 3-month time point, compared to those in Q2 (63.0–76.7 U/L)” | |
In the multivariate logistic regression, “the risk of recurrent stroke (adjusted OR =1.00, 95% CI: 0.91–1.10; P=0.978) did not increase with ALP levels” | ||
The optimal range for reducing recurrent stroke was Q3 (76.8–92.9 U/L) | ||
“In addition, the Kaplan-Meier curves of 3-month cumulative rates of recurrent stroke differ significantly in different stroke subtypes, providing a new direction for investigating ALP levels with all-cause mortality and recurrent stroke in different stroke types” |
mRS, modified Rankin Scale; ALP, alkaline phosphatase; ICH, intracerebral hemorrhage; Q, quartiles; OR, odds ratio; CI, confidence interval; SAH, subarachnoid hemorrhage; ROC, receiver operating characteristic; SD, standard deviation; TIA, transient ischemic attack.
Risk of bias in the included studies
Five studies (10,14,15,17,18) excluded patients due to lack of serum ALP concentration values (selection bias), limiting the generalizability of the findings.
As demonstrated in Table 3, three articles (10,11,15) excluded liver disease through self-reported questionnaires, which may lead to reporting bias. Additionally, Zong et al. (15) did not exclude patients with obstructive biliary disease for lack of biliary levels data registration and Nezu et al. (17) did not evaluate detailed information on liver diseases that affect serum ALP levels. However, Nezu et al. (17) conducted multivariable analysis for both daily alcohol intake and other liver enzymes, adjusting for these influences.
Discussion
In the present report, the association of ALP levels and mortality after stroke was under review.
ALP is a key regulator of the phosphate/pyrophosphate ratio (23), by catalyzing the hydrolysis of organic pyrophosphate, which plays a role in vascular calcification (23). Increased ALP levels have been proposed to accelerate this process therefore decreasing vascular compliance, which in turn results in vascular aging.
Therefore, serum ALP has been progressively accepted as a marker of vascular calcification and, consequently, might constitute a risk factor for ischemic stroke. Also, through the above-mentioned vascular aging, these weakened vessels might be more prone to rupture potentially increasing the risk of hemorrhagic stroke too. Indeed, elevated ALP levels have been demonstrated to be associated with stroke recurrence and other cardiovascular diseases—both known causes of post-stroke mortality.
Plausible mechanisms through which ALP detrimentally affects survival post-stroke may thus include increased vascular calcification, an association with other cardiovascular diseases, an association with liver disease, and changes in cholesterol metabolism (24).
Concerning the risk of post-stroke mortality over time, Brønnum-Hansen et al. (2) demonstrated that 72% survived their first stroke by 27 days and 41% died after 1 year. The risk of death between 4 weeks and 12 months after the first stroke was 18.1%. After the first year, the annual risk for death was approximately 10% and remained almost constant.
The 28-day mortality of intracerebral haemorrhage has been shown to be considerably higher than that of ischaemic stroke. We analyzed data concerning the two main types of stroke and also ischemic stroke subtypes. From the four studies (10,12,15,18) that included both ischemic and hemorrhagic stroke, only Ryu et al. (10) compared the association of ALP levels and all-cause mortality after an ischemic versus hemorrhagic stroke, showing that this association was significant irrespective of stroke subtypes, although it has a greater impact on haemorrhagic stroke (ischemic stroke hazard ratio 2.51 versus hemorrhagic stroke hazard ratio 5.79). Guo et al. (18) concluded that Kaplan-Meier curves of 3-month cumulative rates of all-cause mortality differ significantly in different stroke subtypes, demonstrating that spontaneous intracerebral hemorrhage and subarachnoid hemorrhage might have higher mortality rates than TIA and ischemic stroke, providing a new direction for investigating the association of ALP levels and different stroke types.
A biomarker providing strong prognostic indications could help identify high-risk patients that could benefit from different therapeutic approaches. Accordingly, an ideal stroke biomarker should be capable of predicting stroke prognosis and facilitating therapeutic stratification and monitoring (5), for example by indicating risk of hemorrhagic transformation after stroke or after tissue type plasminogen activator treatment (rt-PA). In fact, Zhu et al. (25) already demonstrated that higher serum ALP levels were independently associated with a poor outcome in patients after intravenous thrombolysis.
Mechanical thrombectomy has become the standard of care for acute ischemic stroke due to large vessel occlusions. However, up to 29% of all mechanical thrombectomies fail (26). Recently, acute intracranial stenting has been reported to be a highly promising bailout strategy for these thrombectomy cases with predictably poor outcomes (27-29). Park et al. (30) has already demonstrated that high levels of total ALP activity predicted coronary stent thrombosis. In the future, it would be interesting to study ALP levels as a possible predictor of intracranial stent thrombosis.
In the future, it would be interesting to define the timeline of influence of ALP levels in mortality post-stroke. Indeed, as time passes by, since stroke onset, the risk of mortality and the corresponding promoting causes vary. Regarding post-stroke mortality causes over time, Viitanen et al. (31) showed that the dominant causes of death were cerebrovascular disease (90%) in the first week and later than 3 months after stroke, cardiac disease, mainly myocardial infarction dominated.
When attempts are made to reduce mortality after stroke, there seems to be a considerable potential for prevention and early treatment of complications, such as cardiac disorders. Mortality rate due to all cardiovascular diseases in stroke populations is almost four times higher than that in the general population (8). Myocardial infarction is one of the leading causes of death during long-term follow-up in patients with an ischemic stroke, since it shares common risk factors with coronary artery disease (32). Liu et al. (33) found that higher serum ALP levels, even within the normal range, were significantly and linearly associated with higher risks of cardiovascular disease in both men and women, without previous stroke. Moreover, their analyses showed that each per unit increment in natural log-transformed ALP levels was independently associated with 31%, 61%, and 206% greater risks of acute coronary syndrome, ischemic stroke and hemorrhagic stroke, respectively, in men. This review has demonstrated that the elevation of ALP levels is consistently associated to increased mortality after stroke, however it is not known if it represents short-term or long-term mortality and, consequently, the specific cause of death that lies behind it.
It is possible that the underlying cause of the higher mortality 3 months after stroke is the higher risk of cardiovascular disease, which these patients have, since cardiovascular disease starts to dominate as the main post-stroke mortality cause.
The regulation of ALP is already a potential novel treatment strategy that might reduce vascular calcification and improve cardiovascular outcomes (34). The mechanisms suggested are mainly two: inhibition of ALP activity and the modulation of its expression. A novel direct ALP inhibitor, SBI-425, effectively inhibits vascular calcification in animal models at doses that do not alter bone mineralization. Interestingly, two phase II trials showed that apabetalone (a novel bromo-domain and extra-terminal motif inhibitor RVX-208) administration reduced circulating levels of ALP, which was associated with a marked reduction of major cardiovascular events (34,35).
Limitations
The limitations for the present report include the heterogeneity in the studies characteristics, namely concerning the types of stroke under study and length of follow-up. A further limitation is that the reviewed studies come predominantly from Asia.
In the nine studies reviewed, measurement of ALP was carried out exclusively at admission. Since no serial measurements of serum ALP were conducted, the association between ALP changes during hospitalization and all-cause mortality could not be examined. Likewise, Guo et al. (18) stated that because the study was only focused on the association of serum ALP levels within 24 h of admission and the 3-month outcome, the potential influence of changes in ALP levels after discharge was not analyzed. Besides Guo et al., two other authors (10,14) presented this fact as a possible limitation. Ryu et al. (10) states that changes of serum ALP levels during the acute period of stroke have not yet been understood, and therefore, it is possible that an acute phase reaction accompanying stroke or in-hospital complications may be behind the elevation of ALP levels. Additionally, since ALP was only measured in the acute stroke period, they were unable to rule out post-stroke cholestasis that can, although rarely, lead to death after stroke.
Two authors (10,12) identified the time interval until death as a possible limitation. On one hand, due to the previously mentioned possible acute phase reaction accompanying stroke, Ryu et al. (10) conducted a subsequent analysis excluding early mortality (inferior to 1 month), but no variations concerning the association between ALP and mortality after stroke were verified. On the other hand, Pratibha et al. (12) suggested that a longer follow up time would have yielded much more information regarding long term mortality.
Conclusions
ALP was demonstrated to be a promising biological marker for improving the predictive ability for stroke outcomes (17). Serum ALP measurement requires a routinely available blood test, which is simple, low-cost, and standardized, and our review indicates that it may be a potential test to predict stroke outcomes, namely mortality.
In conclusion, measuring ALP levels may provide a cost-effective prognostic indicator of stroke-related mortality (17). A finding that warrants further investigation in future primary studies that follow standardized methodologies.
Acknowledgments
This systematic review was carried out in the context of a master’s thesis in the Integrated Cycle of Studies for the Master’s Degree in Medicine of the Faculty of Medicine of the University of Porto.
Funding: None.
Footnote
Reporting Checklist: The authors have completed the PRISMA reporting checklist. Available at https://atm.amegroups.com/article/view/10.21037/atm-23-1627/rc
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Conflicts of Interest: All authors have completed the ICMJE uniform disclosure form (available at https://atm.amegroups.com/article/view/10.21037/atm-23-1627/coif). The authors have no conflicts of interest to declare.
Ethical Statement: The authors are accountable for all aspects of the work in ensuring that questions related to the accuracy or integrity of any part of the work are appropriately investigated and resolved.
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