Literature DB >> 33177880

Long-Term Risk of Stroke and Poststroke Outcomes in Patients with Heart Failure: Two Nationwide Studies.

Ying-Hsuan Tai1,2, Ta-Liang Chen2,3,4, Chien-Chang Liao2,5,3,6,7, Chuen-Chau Chang2,5,3, Chun-Chieh Yeh8,9, Li-Chin Sung10, Chaur-Jong Hu11, Yih-Giun Cherng1,2.   

Abstract

OBJECTIVE: To evaluate the long-term risk of stroke and poststroke adverse outcomes in patients with heart failure (HF).
METHODS: We used research data from Taiwan's National Health Insurance Program from 2000 to 2005 and identified 20,072 adults aged ≥30 years who were newly diagnosed with HF. Frequency matching based on age and sex was used to select a comparison cohort consisting of 80,288 adults without HF. Events of incident stroke were identified from medical claims during the 2000-2013 follow-up period. The adjusted hazard ratios (HRs) and 95% confidence intervals (CIs) of the association of stroke with HF were calculated with a multiple Cox proportional hazard model. Another nested stroke cohort study of 480,604 hospitalized stroke patients determined the adjusted odds ratios (ORs) and 95% CIs for adverse events after stroke in patients with and without HF between 2000 and 2009.
RESULTS: Compared with the non-HF cohort, HF patients had an increased risk of stroke (HR 2.32, 95% CI 2.21-2.43), including ischemic stroke and hemorrhagic stroke. The association between HF and stroke was significant in both sexes and in patients in all age groups and with various medical conditions. Previous HF was associated with poststroke mortality (OR 1.40, 95% CI 1.31-1.50), pneumonia (OR 1.33, 95% CI 1.28-1.38), and septicemia (OR 1.30, 95% CI 1.23-1.37).
CONCLUSION: HF was associated with a higher risk of stroke, and patients with HF had more complications and greater mortality after stroke.
© 2020 Tai et al.

Entities:  

Keywords:  adverse outcome; heart failure; risk; stroke

Year:  2020        PMID: 33177880      PMCID: PMC7652062          DOI: 10.2147/CLEP.S261179

Source DB:  PubMed          Journal:  Clin Epidemiol        ISSN: 1179-1349            Impact factor:   4.790


Introduction

The latest global estimate shows that stroke remains a leading cause of death and disability and substantially contributes to the economic costs of healthcare systems worldwide.1 To reduce the burden of stroke, the management of common modifiable risk factors is of the utmost importance. Established modifiable risk factors of stroke include the consumption of alcohol and cigarettes, physical inactivity, hypertension, diabetes, dyslipidemia, and atrial fibrillation.2 To improve the management of stroke and its sequelae, it is essential to discover other potential risk factors and control them adequately. Heart failure (HF) is also an important cause of a current global epidemic, affecting approximately 25 million individuals worldwide and imposing a huge economic burden that has been estimated to be greater than $100 billion per annum.3,4 HF causes thromboembolism, hypoperfusion, and atherosclerosis and contributes to the pathological mechanisms of stroke.5 According to epidemiologic data, 10% to 24% of stroke patients suffer from comorbid chronic HF.5 The risk of stroke in patients with HF has been evaluated in previous studies.6–17 However, the relationship between HF and stroke risk is not completely understood because of controversial findings of previous studies.7,11,12,14 Some studies indicated the higher risk of stroke persisted over time in HF patients,7,12,14 but another study reported the stroke risk was normalized 6 months after HF diagnosis.11 Moreover, there were two studies showed an increased risk of hemorrhagic stroke in HF patients,12,14 while another one study failed to investigate the association between HF and risk of hemorrhagic stroke.11 There were some study limitations in the previous studies, such as small sample size of patients with HF (<10,000 HF subjects),6–13,15–17 inadequate follow-up period (<10 years),6–11,13,16,17 lack of consideration of atrial fibrillation,10–12 HF severity,11,12,14,15 and type of stroke.6–10,13,15–17 In addition, most studies do not examine the impact of HF on hospitalized stroke patients in terms of important clinical outcomes.6–11,13–17 Accordingly, we conducted two nationwide studies to evaluate the long-term risk of stroke in patients with HF and the effects of a history of HF on the outcomes of admitted stroke patients.

Methods

Source of Data

We conducted this study by utilizing reimbursement claims submitted to Taiwan’s National Health Insurance Program, which was implemented in March 1995. This universal insurance program covers more than 99% of Taiwanese and non-Taiwanese working or studying in Taiwan. A detailed description of the research database was given in our previous studies.18,19 Informed consent was not required because the analysis used preexisting deidentified data. This study was approved by the institutional review board of Taipei Medical University (TMU-JIRB-202010041; TMU-JIRB-201705065; TMU-JIRB-201705063).

Study Design

In a longitudinal cohort of one million insured individuals (Study I), we identified a HF cohort of 20,072 patients aged more than 30 years with HF that was diagnosed between 2000 and 2005 who did not have a previous record of HF diagnosis or treatment in the database, which was established in 1996, or a history of stroke before the index date. To confirm that the patients had HF with more certainly, this study required that at least two visits for outpatient medical services (due to a physician’s principal diagnosis of HF) or at least one visit for inpatient care due to HF had occurred. Using frequency matching (case–control ratio 1:4) by age and sex during the same index period, we identified a non-HF cohort of 80,288 patients who had no history of HF or stroke before the index date. To ensure that both cohorts were free of stroke at the start of the study, patients with any diagnosis of stroke within previous four years before the first diagnosis of HF were excluded from this analysis. The occurrence of stroke was identified during the follow-up period from 1 January 2000 to 31 December 2013. Our purpose was to evaluate the risk of stroke in patients with HF in this retrospective cohort study. Because ageing and incident comorbidities for the association between HF and stroke risk during the follow-up period, we considered the delta change of CHA2DS2-VASc score as one of covariates in this study. In Study II, we conducted a nested cohort study including 480,604 patients aged ≥30 years who were hospitalized because of stroke between 2002 and 2009, and 30,532 of these patients had a history of HF. We compared the 30-day poststroke adverse outcomes, including pneumonia, septicemia, urinary tract infection, intensive care and mortality, in hospitalized stroke patients with and without a history of HF. The utilization of medical resources during stroke hospitalization was also compared between patients with and without HF, including the length of the hospital stay and medical expenditures.

Measures and Definitions

We defined the income status of each study subject according to the definition of the Ministry of Health and Welfare, Taiwan. Physicians diagnostic codes from the International Classification of Diseases, Ninth Revision, Clinical Modification were used to identify diseases and morbidities, including hypertension (ICD-9-CM 401–405), chronic obstructive pulmonary disease (ICD-9-CM 491, 492, 496), mental disorders (ICD-9-CM 290–319), diabetes (ICD-9-CM 250), atherosclerosis (ICD-9-CM 440), hyperlipidemia (272.0, 272.1, 272.2), liver cirrhosis (ICD-9-CM 571), atrial fibrillation (ICD-9-CM 427.31), and Parkinson’s disease (ICD-9-CM 332). Hemodialysis (D8) and peritoneal dialysis (D9) were also recorded according to the administrative code of Taiwan’s National Health Insurance Program. Medications (statins and metformin) and previous medical visits to emergency care and inpatient care were identified from the records of medical facilities. Thirty-day in-hospital mortality and infectious complications during or after the index stroke admission were the outcomes of the study. The infectious complications included pneumonia (ICD-9-CM 480–486), septicemia (ICD-9-CM 038 and 998.5), and urinary tract infection (ICD-9-CM 599.0). In Taiwan, physicians considered medical history and findings of physical examination, chest radiography and echocardiography to identify patients with HF in the clinical settings.20 Framingham clinical criteria was also applied for the diagnosis of HF that is the concurrent presence of either two major criteria or one major criterion and two minor criteria based on clinical manifestations.21 Echocardiography is used to differentiate HF with reduced or preserved ejection fraction.20 B-type natriuretic peptide or N-terminal proB-type natriuretic peptide are measured to assist in confirming or excluding the diagnosis of heart failure.20 In this study, we considered patients with HF who had at least two visits for outpatient medical services (due to a physician’s principal diagnosis of HF) or at least one visit for inpatient care due to HF had occurred. In Study II, we considered the use of antibiotics included penicillins (such as amoxicillin, amoxicillin-clavulanate, and ampicillin-sulbactam), first-generation cephalosporins (such as cephalexin, cefadroxil, cefazolin, and cephradine), second-generation cephalosporins (such as cefuroxime), macrolides (such as azithromycin and clarithromycin), quinolones (such as ciprofloxacin and levofloxacin), and sulfonamides (such as trimethoprim and trimethoprim-sulfamethoxazole) within 3 months before stroke admission.

Statistical Analysis

In Study I, we used chi-square tests to examine the distributions of the categorical data, including age, sex, income status, history of diseases, and visits to emergency care and inpatient care, in the HF cohort and the non-HF cohort. The adjusted hazard ratios (HRs) with 95% confidence intervals (CIs) of stroke associated with HF were calculated using multiple Cox proportional hazards models. Subgroup analysis was also performed to determine the association between HF and stroke risk using multiple Cox proportional hazards models. We also determined the joint effects of HF and coexisting medical conditions on the risk of stroke, which are described in the supplementary files. The association between stroke and component of CHA2DS2-VASc score during the follow-up period was also analyzed by using multiple Cox proportional hazards models. In Study II, we used chi-square tests to examine the distributions of the categorical data (including age, sex, income status, stroke subtype, history of diseases, and visits to emergency care and inpatient care) among hospitalized stroke patients with and without a history of HF. The adjusted odds ratios (ORs) and 95% CIs of poststroke pneumonia, septicemia, urinary tract infection, and mortality associated with a history of HF were calculated with multiple logistic regressions. The length of the hospital stay and medical expenditures during stroke admission were also compared between patients with and without HF by using multiple linear regressions and t-tests.

Results

In Study I (the retrospective cohort study), the proportions of patients with low income (p<0.0001), hypertension (p<0.0001), chronic obstructive pulmonary disease (p<0.0001), mental disorders (p<0.0001), diabetes (p<0.0001), atherosclerosis (p<0.0001), hyperlipidemia (p<0.0001), liver cirrhosis (p<0.0001), atrial fibrillation (p<0.0001), renal dialysis (p<0.0001), and Parkinson’s disease (p<0.0001) were higher in the HF cohort than in the non-HF cohort (Table 1). Compared with non-HF subjects, patients with HF were more likely to have experienced hospitalization (p<0.0001) and emergency visits (p<0.0001). The baseline characteristics of people with heart failure by sex were shown in .
Table 1

Baseline Characteristics of People with and without Heart Failure Before Follow-Up

No HF (N=73,492)HF (N=18,373)p
Sexn(%)n(%)1.0000
 Female36,672(49.9)9168(49.9)
 Male36,820(50.1)9205(50.1)
Age, years1.0000
 30–391684(2.3)421(2.3)
 40–494480(6.1)1120(6.1)
 50–598156(11.1)2039(11.1)
 60–6915,080(20.5)3770(20.5)
 70–7924,880(33.9)6220(33.9)
 ≥ 8019,212(26.1)4803(26.1)
Low income2753(3.8)1254(6.8)<0.0001
Medical conditions
 Hypertension17,392(23.7)8759(47.7)<0.0001
 COPD4995(6.8)4128(22.5)<0.0001
 Mental disorders7438(10.1)3439(18.7)<0.0001
 Diabetes7322(10.0)4268(23.2)<0.0001
 Atherosclerosis1751(2.4)1867(10.2)<0.0001
 Hyperlipidemia2804(3.8)903(4.9)0.0017
 Liver cirrhosis1243(1.7)621(3.4)<0.0001
 Renal dialysis898(1.2)533(2.9)<0.0001
 Parkinson’s disease<0.0001
Number of hospitalizations42,634(58.0)1820(9.9)<0.0001
 011,197(15.2)3755(20.4)
 16510(8.9)2853(15.5)
 213,151(17.9)9945(54.1)
 ≥ 3
Number of emergency visits36,314(49.4)3462(18.8)<0.0001
 011,706(15.9)3418(18.6)
 17716(10.5)2427(13.2)
 217,756(24.2)9066(49.3)
 ≥ 317,756(24.2)9066(49.3)
Use of anticoagulants4235(5.8)5052(27.5)<0.0001
CHA2DS2-VASc score*<0.0001
 012,482(17.0)0(0.0)
 115,830(21.5)1512(8.2)
 230,187(41.1)3236(17.6)
 312,364(16.8)6142(33.4)
 42609(3.6)5975(32.5)
 ≥520(0.0)1508(8.2)

Note: *Time-varying assessments of CHA2DS2-VASc that was calculated at the end of follow-up period.

Abbreviations: COPD, chronic obstructive pulmonary disease; HF, heart failure.

Baseline Characteristics of People with and without Heart Failure Before Follow-Up Note: *Time-varying assessments of CHA2DS2-VASc that was calculated at the end of follow-up period. Abbreviations: COPD, chronic obstructive pulmonary disease; HF, heart failure. Compared with the non-HF cohort (Table 2), the HF cohort had a higher risk of developing stroke (HR 2.32, 95% CI 2.21–2.43). The HR for stroke associated with HF was 2.38 (95% CI 2.22–2.54) in women and 2.26 (95% CI 2.12–2.41) in men. The association between HF and the risk of stroke was significant in all age groups and in subjects with 0, 1, 2, and ≥3 medical conditions. The sensitivity test showed that HF remained significantly associated with stroke risk during the follow-up period when patients who developed stroke in the first 6 months (HR 1.92, 95% CI 1.83–2.02) and 12 months (HR 1.72, 95% CI 1.63–1.81) after the onset of HF were excluded (Table 3). The HRs of ischemic stroke, hemorrhagic stroke, and other stroke subtypes associated with HF were 2.69 (95% CI 2.46–2.94), 2.21 (95% CI 1.85–2.65), and 2.24 (95% CI 2.11–2.38), respectively. Lower risks of stroke were found in HF patients using statins (HR 0.84, 95% CI 0.77–0.91) and metformin (HR 0.59, 95% CI 0.51–0.67). showed the long-term risks of stroke and all-cause mortality between men and women in people with heart failure. In , the risk of stroke was associated with CHA2DS2-VASc score in all study subjects. The joint effects of medical conditions on the long-term risk of stroke in patients with and without heart failure are shown in . HF patients with hypertension had the highest stroke risk compared with non-HF patients without hypertension (HR 5.03, 95% CI 4.71–5.37).
Table 2

Long-Term Risk of Stroke for People with and without Heart Failure in the Overall and Stratified Analysis

NEventsPerson-YearsIncidence*HR(95% CI)†
No heart failure73,4926336596,12910.61.00(reference)
Heart failure18,3733211137,21723.41.82(1.71–1.93)
Female
 No heart failure36,6723008301,6889.971.00(reference)
 Heart failure9168159871,07222.51.91(1.75–2.08)
Male
 No heart failure36,8203328294,44111.31.00(reference)
 Heart failure9205161366,14524.41.75(1.61–1.90)
Age, 30–49 years
 No heart failure616411757,0782.051.00(reference)
 Heart failure154116213,28212.22.84(1.95–4.14)
Age, 50–59 years
 No heart failure815638270,6895.401.00(reference)
 Heart failure203930216,33518.52.70(2.14–3.41)
Age, 60–69 years
 No heart failure15,0801351130,04610.41.00(reference)
 Heart failure377070930,91922.92.05(1.81–2.33)
Age, 70–79 years
 No heart failure24,8803051197,20215.51.00(reference)
 Heart failure6220128545,15328.51.92(1.75–2.10)
Age, ≥ 80 years
 No heart failure19,2121435141,11510.21.00(reference)
 Heart failure480375331,52823.91.13(0.98–1.30)
0 medical condition
 No heart failure43,3642202361,9326.081.00(reference)
 Heart failure415158934,03517.32.05(1.81–2.31)
1 medical condition
 No heart failure19,4142413155,02815.61.00(reference)
 Heart failure6904120852,52323.01.73(1.59–1.90)
2 medical conditions
 No heart failure8012123560,17920.51.00(reference)
 Heart failure471487433,84125.81.48(1.32–1.66)
≥ 3 medical conditions
 No heart failure270248618,99025.61.00(reference)
 Heart failure260454016,81732.11.62(1.37–1.91)

Notes: *Per 1000 person-years. †Adjusted for all covariates listed in Tables 1 and .

Abbreviations: CI, confidence interval; HR, hazard ratio.

Table 3

Sensitivity Analyses for the Association Between Heart Failure and Stroke Risk

NEventsPYsIncidence*HR(95% CI)†
Excluding stroke cases in 6 months
 No HF72,9845828596,0099.781.00(reference)
 HF17,8072645137,10519.31.50(1.40–1.60)
Excluding stroke cases in 12 months
 No HF72,5205364595,6669.011.00(reference)
 HF17,4392277136,83516.61.31(1.22–1.40)
Risk of ischemic stroke
 No HF68,8731717575,9422.981.00(reference)
 HF16,102940129,8357.241.95(1.74–2.18)
Risk of hemorrhagic stroke
 No HF67,629473570,5600.831.00(reference)
 HF15,383221127,4581.731.91(1.52–2.40)
Risk of other stroke subtypes
 No HF71,3024146586,8247.071.00(reference)
 HF17,2122050133,66315.31.77(1.64–1.91)
Non-HF cohort73,4926336596,12910.61.00(reference)
HF cohort
 injected diuretics12,570178893,66219.11.47(1.37–1.58)
 injected cardiac stimulant820264960,89210.70.80(0.73–0.88)
HF patients without use of statins12,995233393,60024.91.00(reference)
HF patients with use of statins537887843,61720.10.85(0.78–0.93)
HF patients without use of metformin16,4262953120,67524.51.00(reference)
HF patients with use of metformin194725816,54215.60.64(0.56–0.73)

Notes: Sensitivity test: HF was significantly associated with stroke risk after excluding cases developing stroke in the first 6 and 12 months after the onset of HF. *Per 1000 person-years. †Adjusted for all covariates listed in Tables 1 and .

Long-Term Risk of Stroke for People with and without Heart Failure in the Overall and Stratified Analysis Notes: *Per 1000 person-years. †Adjusted for all covariates listed in Tables 1 and . Abbreviations: CI, confidence interval; HR, hazard ratio. Sensitivity Analyses for the Association Between Heart Failure and Stroke Risk Notes: Sensitivity test: HF was significantly associated with stroke risk after excluding cases developing stroke in the first 6 and 12 months after the onset of HF. *Per 1000 person-years. †Adjusted for all covariates listed in Tables 1 and . In Study II (the nested cohort study) of 480,604 patients with stroke hospitalization (Table 4), the group of patients with HF had a higher proportion of females (p<0.0001), people aged ≥80 years (p<0.0001), people with low income (p=0.0247), and people with ischemic stroke (p<0.0001) and were more likely to suffer from comorbid hypertension (p<0.0001), diabetes (p<0.0001), chronic obstructive pulmonary disease (p<0.0001), mental disorders (p<0.0001), atrial fibrillation (p<0.0001), atherosclerosis (p<0.0001), renal dialysis (p<0.0001), liver cirrhosis (p<0.0001), and Parkinson’s disease (p<0.0001) compared with those without HF. Higher proportions of patients with previous hospitalizations (p<0.0001) and emergency visits (p<0.0001) were also found in the HF patients than in the non-HF patients. showed the characteristics of hospitalized stroke patients with and without heart failure after matching by propensity score.
Table 4

Characteristics of Hospitalized Stroke Patients with and without Heart Failure

No HF (N=450,072)HF (N=30,532)p
Sexn(%)n(%)<0.0001
 Female184,411(41.0)15,406(50.5)
 Male265,661(59.0)15,126(49.5)
Age, years<0.0001
 30–3910,885(2.4)196(0.6)
 40–4939,164(8.7)963(3.2)
 50–5977,096(17.1)2388(7.8)
 60–69110,684(24.6)5503(18.0)
 70–79138,016(30.7)11,565(37.9)
 ≥8074,227(16.5)9917(32.5)
Low income27,059(6.0)2241(7.3)<0.0001
Medical conditions
 Hypertension210,270(46.7)17,770(58.2)<0.0001
 Diabetes104,825(23.3)9131(29.9)<0.0001
 Hyperlipidemia19,074(4.2)1273(4.2)0.5646
 Atherosclerosis9800(2.2)2160(7.1)<0.0001
 Atrial fibrillation5438(1.2)2620(8.6)<0.0001
 COPD43,329(9.6)8509(27.9)<0.0001
 Liver cirrhosis11,011(2.5)979(3.2)<0.0001
 Renal dialysis7466(1.7)1830(6.0)<0.0001
 Parkinson’s disease8345(1.9)806(2.6)<0.0001
 Mental disorders74,150(16.5)6933(22.7)<0.0001
Type of stroke<0.0001
 Hemorrhagic stroke111,603(24.8)4798(15.7)
 Ischemic stroke281,676(62.6)21,235(69.6)
 Other stroke56,793(12.6)4499(14.7)
Number of hospitalizations<0.0001
 0343,022(76.2)10,479(34.3)
 167,635(15.0)8521(27.9)
 221,862(4.9)5057(16.6)
 ≥317,553(3.9)6475(21.2)
Number of emergency visits<0.0001
 0266,457(59.2)10,752(35.2)
 1109,655(24.4)7640(25.0)
 241,143(9.1)4794(15.7)
 ≥332,817(7.3)7346(24.1)
Use of antibiotics*76,480(17.0)8860(29.0)<0.0001

Note: *Use of antibiotics within 3 months before stroke admission.

Abbreviations: COPD, chronic obstructive pulmonary disease; HF, heart failure.

Characteristics of Hospitalized Stroke Patients with and without Heart Failure Note: *Use of antibiotics within 3 months before stroke admission. Abbreviations: COPD, chronic obstructive pulmonary disease; HF, heart failure. Compared with non-HF patients (Table 5), HF patients had higher risks of 30-day poststroke pneumonia (OR 1.31, 95% CI 1.24–1.38), septicemia (OR 1.25, 95% CI 1.17–1.35), intensive care (OR 1.47, 95% CI 1.41–1.54), and in-hospital mortality (OR 1.44, 95% CI 1.31–1.59) during or after the index stroke admission. HF patients with stroke admission were also more likely to have increased medical expenditures (beta=329, p<0.0001) and prolonged hospital stays (beta=0.78, p<0.0001). showed the outcomes of stroke patients with and without history of heart failure after matching by propensity score.
Table 5

Outcomes of Stroke Patients with and without History of Heart Failure

Poststroke OutcomesNo HF (N=450,072)HF (N=30,532)Risk of Outcomes
Events(%)Events(%)OR(95% CI)†
Mortality13,0642.912674.21.40(1.31–1.50)
Pneumonia38,4088.5395112.91.33(1.28–1.38)
Septicemia17,2123.821196.91.31(1.24–1.38)
UTI50,22211.3424913.91.02(0.98–1.05)
ICU stay92,06220.5736024.11.52(1.47–1.57)
Medical expenditure, USD*2232 ± 34702569 ± 3585p<0.0001
Length of hospital stay, day*11.6 ± 13.413.2 ± 13.7p<0.0001

Notes: *Mean ± SD; HF was associated with medical expenditure (beta=331, p<0.0001) and length of hospital stay (beta=0.79, p<0.0001) in the multiple linear regressions. †Adjusted for all covariates listed in Table 4.

Abbreviations: CI, confidence interval; HF, heart failure; ICU, intensive care unit; OR, odds ratio; UTI, urinary tract infection.

Outcomes of Stroke Patients with and without History of Heart Failure Notes: *Mean ± SD; HF was associated with medical expenditure (beta=331, p<0.0001) and length of hospital stay (beta=0.79, p<0.0001) in the multiple linear regressions. †Adjusted for all covariates listed in Table 4. Abbreviations: CI, confidence interval; HF, heart failure; ICU, intensive care unit; OR, odds ratio; UTI, urinary tract infection.

Discussion

Study I demonstrated that HF independently increased the long-term risk of stroke, and the association was significant in all age groups, both sexes, and in patients with various medical conditions. Study II showed that a history of HF was associated with various outcomes during stroke hospitalization, including poststroke mortality, infections, admission to intensive care, a prolonged length of stay, and increased medical expenditures. Compared with previous studies,6–17 the present study benefitted from a large sample size, nationwide coverage and complete follow-up for 14 years. The association between HF and long-term stroke risk was consistently significant among patients with or without atrial fibrillation or atherosclerosis. In addition, the stroke risk in HF patients was attenuated but persisted over time (6 and 12 months after the onset of HF), which is in agreement with the results of some previous studies.7,12,14 However, another study showed that the risk of ischemic stroke was normalized 6 months after the diagnosis of HF.11 Furthermore, our analysis showed that HF increased the risk of both ischemic and hemorrhagic stroke. Two studies have also reported an elevated risk of hemorrhagic stroke in HF patients,12,14 while the Rotterdam Study found a reduced risk of hemorrhagic stroke in HF patients compared to that in the general population.11 The lower risk of stroke in HF patients treated with intravenous diuretics and cardiac stimulants during admission is also of interest. The conditions that necessitated intravenous diuretics and chronotropic or inotropic agents were most likely acute decompensated HF or advanced HF.20 HF-related comorbid diseases may override the effect of HF itself on stroke risk in these patients. Substudies of large multicenter randomized trials have reported that the left ventricular ejection fraction was not an independent predictor for stroke in HF patients without atrial fibrillation.13,17 Additionally, our results showed that HF patients using statins and metformin had a reduced risk of stroke, which has important implications for stroke prevention in HF. A meta-analysis of randomized trials showed that each 1 mmol·L−1 decrease in LDL cholesterol lowers stroke risk by 21.1%,21 which is in line with our results. Additionally, metformin has been shown to attenuate diabetes-accelerated atherosclerosis by inhibiting mitochondrial fission in endothelial cells and protecting against coronary atherosclerosis in prediabetes and early diabetes.22,23 Our epidemiologic analysis warrants further clinical trials to prove the effectiveness of metformin in the treatment of vascular atherosclerosis. Several possible mechanisms may be helpful for explaining the increased risk of stroke in patients with HF. First, with respect to ischemic stroke, the stasis of blood flow in the dilated and hypokinetic ventricle may facilitate thrombus formation.24 Therefore, to examine whether HF itself causes ischemic stroke, it is necessary to evaluate the risk of ischemic stroke in HF patients without atrial fibrillation or systolic abnormalities. Second, HF patients are in a hypercoagulable state, which is characterized by platelet hyperactivity, impaired fibrinolysis, and greater thrombin generation.25 The activation of the renin-angiotensin-aldosterone system and the sympathetic nervous system in HF further aggravates the prothrombotic state.26 Third, the decreased cerebral blood flow in HF patients results from low cardiac output and impaired cerebral autoregulation.27 Diminished cerebral perfusion may increase the risk of cognitive impairment among both decompensated and stable HF patients.27 Finally, HF patients are prone to have large-artery atherosclerosis and small-vessel occlusion, which also contributes to the development of ischemic stroke.28 In HF patients with sinus rhythm, the mechanism of ischemic stroke was shown to be predominantly influenced by the etiology of HF, and HF due to coronary artery disease was associated with the atherosclerotic and lacunar subtypes of stroke.28 Regarding hemorrhagic stroke, antiplatelet or anticoagulant agents administered in HF patients may increase the risk of hemorrhage and cause intracranial bleeding.29 Our analysis showed that the impact of HF on the occurrence of stroke was augmented in younger patients compared with older patients. Studies have shown that idiopathic dilated cardiomyopathy accounts for a substantial part of the etiology of early-onset HF.30,31 The atrial and ventricular dilation in cardiomyopathy and lower adherence to medication may underlie the greater influence of HF on stroke risk in young adults compared with older individuals.30 However, it is still controversial whether anticoagulation has a favorable risk-benefit profile when used for primary thromboembolism prophylaxis in patients with HF secondary to dilated cardiomyopathy with sinus rhythm.32 Currently, nonvitamin K oral anticoagulants have been broadly used for stroke prophylaxis in atrial fibrillation patients.33 The determination of the benefits and risks of nonvitamin K oral anticoagulants for stroke prevention in HF patients with sinus rhythm awaits further investigation. Compared with patients without HF, patients with HF had worse poststroke outcomes according to our results, which is in accordance with the results of prior studies.12,34,35 In addition to the mortality rate, the risk of pneumonia, septicemia, and urinary tract infection was also increased in patients with HF. Studies have indicated that stroke induces systemic immunosuppression and increases the risk of infection.36 Infections commonly occur after stroke with a reported incidence of approximately 30% and cause significant mortality and morbidity in stroke patients.37 Similarly, impaired immune responses occur in HF, including elevated levels of serum tumor necrosis factor, interleukin-1, interleukin-6 and interleukin-10.38,39 Recently, the impairment of cell-mediated immune functioning was reported to predict long-term mortality in patients with advanced HF.40 It is still controversial whether the immune and inflammation response is a cause or a consequence of myocardial failure. Furthermore, the interaction between HF and stroke and the combined effect on the immune system remain to be observed. Our findings highlight the need to develop strategies of reducing stroke risk and poststroke complications for HF population. Apart from warfarin, nonvitamin K oral anticoagulants have been broadly used for primary thromboembolism prophylaxis in patients with atrial fibrillation.33 For HF patients with sinus rhythm, anticoagulation using warfarin reduces the risk of non-fatal stroke but increases the risk of major hemorrhage.32 Recent trial showed that an addition of rivaroxaban to antiplatelet therapy significantly reduces the rate of first stroke with similar hemorrhage risk among HF patients with sinus rhythm.41 The benefits and risks of nonvitamin K oral anticoagulants for stroke prophylaxis in HF awaits further evaluations. Regarding the prevention of poststroke infection (e.g. pneumonia), both pharmacological and non-pharmacological approaches have been studied extensively. Meta-analysis showed that prophylactic antibiotics initiated within 48 hours after acute stroke reduce the risk of poststroke pneumonia and all infections, but functional outcomes and mortality are not decreased.42 There is still insufficient evidence supporting routine uses of prophylactic antibiotics for prevention of poststroke infection; the benefits and harms remain undetermined.42,43 In addition to antibiotics, angiotensin-converting enzyme inhibitors appear effective in reducing the risk of poststroke pneumonia compared with other antihypertensive agents, especially in Asian populations.44 Non-pharmacological prevention of poststroke pneumonia includes swallowing rehabilitation and oral care.45 Some limitations need to be acknowledged when interpreting the results. First, our data lacks information about socioeconomics, lifestyle, biochemical laboratory measures, and clinical risk scores of HF and stroke (such as those based on the New York Heart Association functional class symptoms and the NIH Stroke Scale). Second, although the administration of intravenous diuretics and cardiac stimulants could reflect the severity of HF in part, our analysis did not include measurement of left ventricular ejection fraction due to data unavailability, precluding a stratified analysis of stroke risk in HF with reduced, mid-range or preserved left ventricular ejection fraction. In addition, our study did not include people with subclinical HF because they may not seek conventional medical care. Finally, the residual confounding bias is possible, although our analysis has been adjusted for various potential confounders. In conclusion, patients with HF had increased stroke risk and poststroke adverse outcomes. We propose that there is an urgent need for intervention to prevent stroke events and poststroke complications in this susceptible population.
  45 in total

1.  Left Ventricular Ejection Fraction and Risk of Stroke and Cardiac Events in Heart Failure: Data From the Warfarin Versus Aspirin in Reduced Ejection Fraction Trial.

Authors:  Marco R Di Tullio; Min Qian; John L P Thompson; Arthur J Labovitz; Douglas L Mann; Ralph L Sacco; Patrick M Pullicino; Ronald S Freudenberger; John R Teerlink; Susan Graham; Gregory Y H Lip; Bruce Levin; J P Mohr; Richard Buchsbaum; Conrado J Estol; Dirk J Lok; Piotr Ponikowski; Stefan D Anker; Shunichi Homma
Journal:  Stroke       Date:  2016-06-28       Impact factor: 7.914

Review 2.  Effectiveness and Safety of Antibiotics for Preventing Pneumonia and Improving Outcome after Acute Stroke: Systematic Review and Meta-analysis.

Authors:  Monica S Badve; Zien Zhou; Craig S Anderson; Maree L Hackett
Journal:  J Stroke Cerebrovasc Dis       Date:  2018-08-07       Impact factor: 2.136

3.  Risk of stroke in congestive heart failure with and without atrial fibrillation.

Authors:  Si-Hyuck Kang; Joonghee Kim; Jin Joo Park; Il-Young Oh; Chang-Hwan Yoon; Hee-Jun Kim; Kyuseok Kim; Dong-Ju Choi
Journal:  Int J Cardiol       Date:  2017-07-20       Impact factor: 4.164

4.  Effect of Long-Term Metformin and Lifestyle in the Diabetes Prevention Program and Its Outcome Study on Coronary Artery Calcium.

Authors:  Ronald B Goldberg; Vanita R Aroda; David A Bluemke; Elizabeth Barrett-Connor; Matthew Budoff; Jill P Crandall; Dana Dabelea; Edward S Horton; Kieren J Mather; Trevor J Orchard; David Schade; Karol Watson; Marinella Temprosa
Journal:  Circulation       Date:  2017-05-05       Impact factor: 29.690

5.  Stroke risk and outcomes in patients with traumatic brain injury: 2 nationwide studies.

Authors:  Chien-Chang Liao; Yi-Chun Chou; Chun-Chieh Yeh; Chaur-Jong Hu; Wen-Ta Chiu; Ta-Liang Chen
Journal:  Mayo Clin Proc       Date:  2014-02       Impact factor: 7.616

6.  Risk of thromboembolism in heart failure: an analysis from the Sudden Cardiac Death in Heart Failure Trial (SCD-HeFT).

Authors:  Ronald S Freudenberger; Anne S Hellkamp; Jonathan L Halperin; Jeanne Poole; Jill Anderson; George Johnson; Daniel B Mark; Kerry L Lee; Gust H Bardy
Journal:  Circulation       Date:  2007-05-07       Impact factor: 29.690

7.  Lymphocytopenia Is an Independent Predictor of Unfavorable Functional Outcome in Spontaneous Intracerebral Hemorrhage.

Authors:  Antje Giede-Jeppe; Tobias Bobinger; Stefan T Gerner; Dominik Madžar; Jochen Sembill; Hannes Lücking; Stephan P Kloska; Toni Keil; Joji B Kuramatsu; Hagen B Huttner
Journal:  Stroke       Date:  2016-04-12       Impact factor: 7.914

Review 8.  The annual global economic burden of heart failure.

Authors:  Christopher Cook; Graham Cole; Perviz Asaria; Richard Jabbour; Darrel P Francis
Journal:  Int J Cardiol       Date:  2013-12-22       Impact factor: 4.164

Review 9.  Heart Failure as a Risk Factor for Stroke.

Authors:  Woohyeun Kim; Eung Ju Kim
Journal:  J Stroke       Date:  2018-01-31       Impact factor: 6.967

Review 10.  Stroke-induced immunosuppression and poststroke infection.

Authors:  Kaibin Shi; Kristofer Wood; Fu-Dong Shi; Xiaoying Wang; Qiang Liu
Journal:  Stroke Vasc Neurol       Date:  2018-01-12
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  3 in total

1.  Periodontal disease and risk of mortality and kidney function decline in advanced chronic kidney disease: a nationwide population-based cohort study.

Authors:  Ying-Hsuan Tai; Jui-Tai Chen; Hsien-Cheng Kuo; Wei-Jen Chang; Mei-Yi Wu; Ying-Xiu Dai; Wan-Chi Liu; Tzeng-Ji Chen; Hsiang-Ling Wu; Yih-Giun Cherng
Journal:  Clin Oral Investig       Date:  2021-04-04       Impact factor: 3.573

2.  Prevalence and incidence of stroke, white matter hyperintensities, and silent brain infarcts in patients with chronic heart failure: A systematic review, meta-analysis, and meta-regression.

Authors:  Sean Tan; Clare Elisabeth Si Min Ho; Yao Neng Teo; Yao Hao Teo; Mark Yan-Yee Chan; Chi-Hang Lee; Lauren Kay Mance Evangelista; Weiqin Lin; Yao-Feng Chong; Tiong-Cheng Yeo; Vijay Kumar Sharma; Raymond C C Wong; Benjamin Y Q Tan; Leonard L L Yeo; Ping Chai; Ching-Hui Sia
Journal:  Front Cardiovasc Med       Date:  2022-09-15

3.  Preexisting Dementia Is Associated with Increased Risks of Mortality and Morbidity Following Major Surgery: A Nationwide Propensity Score Matching Study.

Authors:  Yu-Ming Wu; Hsien-Cheng Kuo; Chun-Cheng Li; Hsiang-Ling Wu; Jui-Tai Chen; Yih-Giun Cherng; Tzeng-Ji Chen; Ying-Xiu Dai; Hsin-Yi Liu; Ying-Hsuan Tai
Journal:  Int J Environ Res Public Health       Date:  2020-11-14       Impact factor: 3.390

  3 in total

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