Next Article in Journal
Presbycusis and the Aging of Eye Movement: Common Attention Mechanisms
Previous Article in Journal
Sensitivity of a 29-Channel MEG Source Montage
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Post-Stroke Outcomes of Patients with Chronic Obstructive Pulmonary Disease

by
Aleksandra Szylińska
1,*,
Katarzyna Kotfis
2,
Marta Bott-Olejnik
3,
Paweł Wańkowicz
1 and
Iwona Rotter
1
1
Department of Medical Rehabilitation and Clinical Physiotherapy, Pomeranian Medical University, 71-204 Szczecin, Poland
2
Department of Anesthesiology, Intensive Therapy and Acute Intoxications, Pomeranian Medical University, 71-204 Szczecin, Poland
3
Neurology Department of a Regional Specialist Hospital in Gryfice, 72-300 Gryfice, Poland
*
Author to whom correspondence should be addressed.
Brain Sci. 2022, 12(1), 106; https://doi.org/10.3390/brainsci12010106
Submission received: 9 November 2021 / Revised: 6 January 2022 / Accepted: 10 January 2022 / Published: 13 January 2022
(This article belongs to the Section Neurorehabilitation)

Abstract

:
Introduction: Research has shown that patients with ischemic stroke and coexisting obstructive respiratory disorders have worse clinical status on admission and increased long-term mortality. Patients with chronic obstructive pulmonary disease (COPD) are at increased risk of stroke, and the risk is even greater after exacerbation of COPD. Moreover, COPD and stroke share major risk factors, which are advancing age and smoking. The aim of this study was to analyze the incidence of complications and mortality in acute ischemic stroke (AIS) patients with and without COPD. Material and methods: We analyzed prospectively collected data of 1022 patients with acute is-chemic stroke hospitalized in a district general hospital. The patients were divided into two groups—with coexisting COPD and without COPD. Results: Logistic regression analysis, which allowed for potential confounders, showed an association between coexisting COPD and the fol-lowing complications in acute ischemic stroke patients: heart failure (OR = 1.879, p = 0.048), atrial fibrillation (OR = 4.746, p = 0.012), delirium (OR = 2.803, p < 0.001), pneumonia (OR = 2.424, p = 0.005), bronchospasm (OR = 3.400, p = 0.023), and out-hospital mortality (OR = 2.656, p = 0.001). Conclusion: Patients presenting with acute ischemic stroke and coexisting COPD significantly more often had cardiac and pulmonary complications, as well as delirium following stroke. In a long-term follow-up, the probability of one-year survival was significantly lower in AIS patients with co-existing COPD.

1. Introduction

Chronic obstructive pulmonary disease (COPD) is a progressive respiratory disease characterized by persistently reduced airflow through the lungs with chronic inflammatory response, yet defined as a common, preventable, and treatable medical condition, with various degrees of severity and comorbidities [1]. It is the third most common disease contributing to death in the world [2,3]. Its pathophysiological hallmarks include chronic inflammation of the small airways that induces repeated damage and repair, which eventually result in the destruction of lung parenchyma, loss of elasticity, bronchiolar fibrosis and small airway obstruction, and emphysema with airspace dilatation [4]. Worsening deteriorating respiratory function contributes to increased dyspnea and patient deterioration [5].
COPD is commonly associated with different neurological and psychiatric comorbidities, including cerebrovascular and neurodegenerative disorders, as well as epilepsy, psychiatric and sleep disorders [6]. Stroke is the leading cause of disability in the world and the second leading cause of death [7]. About 30% of stroke survivors struggle with disability and require assistance in their basic daily activities for the rest of their lives, making stroke a major health, social, and economic problem [5,8]. Approximately 80–87% of all strokes are acute ischemic strokes (AIS), characterized by a sudden disruption of cerebral blood flow when it is blocked by thrombus, embolic thrombus or cerebral vascular insufficiency [5,8,9].
Stroke risk factors include diabetes mellitus, hypertension, atrial fibrillation, hypercholesterolemia, and lung disease; whereas smoking accounts for just over 60% of the risk of stroke, likewise in COPD. Thus, COPD and stroke share a major risk factor—smoking, which, unlike age, belongs to modifiable risk factors. In addition, studies have shown links between the occurrence of stroke and COPD—patients with COPD are at an increased risk of stroke, and moreover, this risk is greater after the exacerbation of COPD [5]. Stroke severity on admission and mortality among patients with COPD and bronchial asthma has been evaluated by Hausler et al., who have shown that ischemic stroke patients with coexisting obstructive respiratory disorders had a worse clinical status on admission and higher long-term mortality [10].
Therefore, the aim of this study was to compare the outcomes after acute ischemic stroke in patients with and without coexisting COPD, in terms of the incidence of complications, clinical status, and disability at discharge, along with short-term and long-term mortality.

2. Materials and Methods

2.1. Study Population

This study was an analysis of observational data from the Neurology Department of a district general hospital in Poland collected prospectively between June 2015 and March 2018. It included 1022 patients with acute ischemic stroke with symptom onset within 48–72 h prior to admission. Exclusion criteria included incomplete laboratory results (n = 6), no data regarding follow-up (n = 10), and coexisting hematological disorders (n = 5). A total of 21 patients were excluded from the study, and a total of 1001 patients were included in further analysis. Patients were divided into two groups, the first group included patients with ischemic stroke and coexisting COPD, and the second group included patients without coexisting COPD (Figure 1).

2.2. Data Collection

Data regarding demographics and comorbidities were obtained from the patient’s medical history and hospital electronic database system. Routine clinical and neurological evaluation of the patient was performed upon presentation to the hospital neurology department. On admission and at discharge, information was obtained regarding the severity of stroke according to the National Institute of Health Stroke Scale (NIHSS), and the degree of disability according to a modified Rankin Scale. In addition, Doppler ultrasonography of the carotid arteries and neuroimaging by computed tomography (CT) of the brain were performed. CT lesions were classified into one of four categories: no lesion, lesion < 2.5 cm, lesion > 2.5 cm (supratentorial and infratentorial), and lacunar lesion (supratentorial). Medical records provided information regarding the results of routine laboratory tests (blood count, C-reactive protein, troponin T, cholesterol, triglycerides, serum creatinine).
Follow-up data were extracted from medical records and by telephone follow-up after discharge. Hospital complications were divided into the following subgroups: cardiological complications (heart failure, myocardial infarction, sudden cardiac arrest, atrial fibrillation); renal complications (acute renal failure (ARF), exacerbation of chronic renal failure, hemofiltration in ARF, urinary tract infection (UTI)); neurological complications (seizures, delirium); pulmonary complications (respiratory failure, pneumonia, pulmonary embolism, bronchospasm) and other—bed sores and sepsis. Mortality was recorded as hospital mortality up to day 7 and telephone contact was used to obtain data on mortality at 30 and 90 days, and 1 year after stroke.

2.3. Design

The study was conducted according to the Strengthening the Reporting of Observational studies in Epidemiology (STROBE) guidelines for cohort studies (Supplementary Materials, Table S1) [11].

2.4. Ethical Issues

The study was performed in accordance with the Declaration of Helsinki. We obtained the approval of the Bioethical Committee of the Pomeranian Medical University: KBE-0012/84/03/19. The requirement to obtain informed consent was waived, as the study was performed as a routine clinical process of diagnosis and treatment performed in every patient admitted to the hospital. The data was analyzed anonymously.

2.5. Statistical Analysis

All statistical analyses were performed with the use of Statistica 13 software (StatSoft, Inc. Tulsa, OK, USA). The data are presented with descriptive statistics. All the continuous variable data are presented as medians and means ± standard deviations (±SD); categorical variables are presented as numbers and percentages. We analyzed the qualitative data using a Chi-square test or Chi-square test with Yates’s correction for the groups with COPD and without COPD. A Mann Whitney U-test was used to compare continuous variables. Logistic regression analysis was performed for COPD and the odds ratios (OR) calculated. Multivariable logistic regression was adjusted for gender, smoking, ischemic stroke, transient ischemic attack earlier than last 30 days, chronic renal failure, extracardiac arteriopathy, Rankin score at admission, hemoglobin, C-reactive protein, and triglycerides. Sensitivity analysis was conducted to assess the robustness of the association to unmeasured or uncontrolled confounding. E-values were calculated for the odds ratio (OR) point estimates from studies of occurrence of COPD and post-stroke outcome [12]. Kaplan–Meier analysis was used to calculate the probability of survival one year after the stroke both for coexisting COPD and without COPD. Differences were regarded as statistically significant at p < 0.05.

3. Results

Characteristics of the 1001 patients with acute ischemic stroke are shown in Table 1, with 95/1001 (9.49%) patients with COPD and 906/1001 (90.5%) without COPD. Significantly more patients with COPD were male (p = 0.004) and smokers (p < 0.001). Differences between the groups were also observed for the presence of comorbidities, as more COPD patients had transient ischemic attack within 30 days prior to admission due to AIS (p = 0.014), history of ischemic stroke in the past (p = 0.040), chronic renal failure (p = 0.009), extracardiac arteriopathy (p < 0.001).
In addition, neurological data were evaluated (Table 2), and a difference was observed between the groups in the Rankin Scale score (p = 0.040).
In terms of laboratory data, the differences were seen for hemoglobin (p = 0.028), C-reactive protein (p < 0.001), and triglycerides (p = 0.003) (Table 3).
In the study group, the number of post stroke complications, in-hospital and out-hospital mortality, and length of hospitalization, according to the presence of COPD are shown in Table 4. A higher number of complications was observed in patients treated for AIS with COPD.
Univariate and multivariate logistic regressions were performed to quantify the strength of the association between the complications (Table 5). After considering potential confounders among patients with acute ischemic stroke in our analysis, an association between coexisting COPD and the following complications was obtained: heart failure (OR = 1.879, p = 0.048), atrial fibrillation (OR = 4.746, p = 0.012), delirium (OR = 2.803, p < 0.001), pneumonia (OR = 2.424, p = 0.005), bronchospasm (OR = 3.400, p = 0.023), disability on the Rankin scale (OR = 1.161, p = 0.044), and out-hospital mortality (OR = 2.656, p = 0.001). In addition, we used the E-value sensitivity analysis to quantify the potential implications of unknown confounders. We found that the unmeasured confounders were unlikely to explain the effect on relationships between COPD and risk factors as shown in Table 5.
Survival analysis according to the presence of COPD showed statistically significant differences between the survival times of acute ischemic stroke patients with coexisting COPD (Figure 2).

4. Discussion

Chronic obstructive pulmonary disease (COPD) and stroke are among the leading causes of death worldwide [13]. Despite literature data suggesting a frequent coexistence of these two conditions [14,15,16], there has not been any research on the actual prevalence of COPD among ischemic stroke patients. Our study showed that nearly 10% of patients with acute ischemic stroke had coexisting COPD. Similar results were obtained by Miguel (8.67%) [17].
It is well known that the most important risk factor of COPD, cigarette smoking, is also an established risk factor for ischemic stroke [18,19]. The results of our study also confirm this association. Thus, cigarette smoking appears to be a common link between COPD and ischemic stroke. Like other traditional stroke risk factors, cigarette smoking increases the propensity for ischemic stroke by impairing the ability of the cerebral circulation to meet the brain’s current oxygen demand. This occurs primarily because of structural changes in cerebral blood vessels that lead to their insufficiency and ultimately damage to the brain tissue through an interplay of many pathophysiological factors. These factors alter the structure of intracranial and extracranial blood vessels, promoting atherosclerosis, atrophy, and vessel stiffness [20]. Moreover, these structural abnormalities are usually accompanied by the impaired function of these vessels, which directly affects the regulation of cerebral blood flow. It is well documented that smoking causes endothelial dysfunction, which in turn is associated with an increased risk of stroke [21,22]. Smoking also impairs neurovascular coupling which is the primary adaptive mechanism that matches blood flow to neural activity. In addition to contributing to cerebrovascular disease, smoking modulates the risk of stroke by increasing the propensity of atherosclerotic plaque to rupture [23]. The prothrombotic effects of smoking are well documented [24]. Among other things, smoking increases platelet activation [25].
Although COPD is an independent risk factor for death in the general population, the association between COPD alone and the severity and mortality in ischemic stroke patients has not been widely addressed to date. Haeusler et al., conducted a study among patients with acute ischemic stroke according to the coexistence of COPD or bronchial asthma. The authors evaluated in-hospital and out-hospital mortality, and although they found no significant association between COPD and in-hospital mortality after ischemic stroke, they did find a correlation with out-hospital mortality [10]. Our analysis in patients with acute ischemic stroke and COPD has shown a strong association with long-term survival, but not with short-term mortality.
Haeusler et al., assessed stroke severity with the use of NIHSS on admission and found no significant association in chronic inflammatory airway disease patients [10]. In our study, we likewise found no differences regarding the NIHSS at admission. In addition, we evaluated the degree of disability and independence in daily activities using the Rankin score. More disability was found in the group of COPD patients both at admission and discharge.
Our study provides additional evidence that ischemic stroke with coexisting COPD is a prognostically unfavorable combination than are stroke or COPD occurring alone. First, COPD causes systemic inflammation and oxidative stress, which are key mechanisms of stroke-related brain damage [5,26]. Thus, it can be predicted that COPD is also responsible for the severity of stroke outcomes by destroying other cells, tissues, and organs. Numerous disorders coexisting with COPD include cardiovascular diseases, neurological, metabolic, gastrointestinal, respiratory, or genitourinary disorders [27,28,29,30,31,32], where COPD leads to exacerbation of these conditions via a mechanism of systemic inflammatory response, and a vicious circle mechanism predisposes patients with these disorders to poorer long-term survival.
Due to the symptoms of focal nerve tissue damage, such as bulbar and pseudobulbar syndromes, these patients are at risk of developing dysphagia, which leads to aspiration of food contents into the lungs resulting in the development of stroke-associated pneumonia (SAP). The incidence of SAP was higher among patients with COPD as has been show in our analysis. SAP is a common critical complication after ischemic stroke, increasing hospitalization time and cost, and is closely associated with high mortality. Risk factors for SAP include old age, male gender, dysphagia, severe ischemic stroke, impaired consciousness, speech impairment, pre-stroke disability, atrial fibrillation, heart failure, smoking, and COPD [33,34,35].
COPD may also increase the risk of stroke through hypoxemia. Patients with COPD may experience hypoxemia, and subsequent hyperventilation contributes to damage of the vascular wall. Hyperventilation may result in the development of metabolic abnormalities that predispose to cardiac arrhythmias. The study by Curkendall et al., demonstrated that abnormal lung function induced by COPD may result in paroxysmal atrial fibrillation, a condition predisposing to ischemic stroke [36].

5. Limitations

This study is not without limitations. It is a single-center observational series, so it would be useful to extend the research into a multicenter study. The study includes only patients with acute ischemic stroke, and so the conclusions cannot be generalized to all stroke patients. The differentiation of ischemic stroke for acute/subacute/chronic lesion was done based on a CT scan not magnetic resonance imaging (MRI) scan. In a future study, it should be considered to use images provided by an MRI scan. Further prospective studies with a larger sample size are needed.

6. Conclusions

Patients with ischemic stroke and coexisting COPD were significantly more likely to present a higher degree of disability at hospital discharge and a higher incidence of post-stroke delirium, as well as cardiac and pulmonary complications. In a long-term follow-up, the probability of one-year survival was significantly lower in stroke patients with COPD.

Supplementary Materials

The following are available online at https://www.mdpi.com/article/10.3390/brainsci12010106/s1, Table S1: STROBE Statement—checklist of observational studies.

Author Contributions

Conceptualization, A.S., K.K. and P.W.; formal analysis, A.S., P.W. and I.R.; investigation, A.S., K.K. and M.B.-O.; methodology, A.S. and M.B.-O.; supervision, A.S. and I.R.; writing—original draft, A.S., K.K., M.B.-O., P.W. and I.R.; writing—review and editing, A.S., K.K., M.B.-O., P.W. and I.R. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

The study was performed in accordance with the Declaration of Helsinki. We obtained the approval of the Bioethical Committee of the Pomeranian Medical University: KBE-0012/84/03/19.

Informed Consent Statement

Not applicable. The requirement to obtain informed consent was waived, as the study was performed as a routine clinical process of diagnosis and treatment performed in every patient admitted to the hospital. The data was analyzed anonymously.

Data Availability Statement

All data that support the findings of this study are available upon request from the corresponding author.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Vestbo, J. COPD: Definition and phenotypes. Clin. Chest Med. 2014, 35, 1–6. [Google Scholar] [CrossRef] [PubMed]
  2. Soriano, J.B.; Kendrick, P.J.; Paulson, K.R.; Gupta, V.; Abrams, E.M.; Adedoyin, R.A.; Adhikari, T.B.; Advani, S.M.; Agrawal, A.; Ahmadian, E.; et al. Prevalence and attributable health burden of chronic respiratory diseases, 1990–2017: A systematic analysis for the Global Burden of Disease Study 2017. Lancet Respir. Med. 2020, 8, 585–596. [Google Scholar] [CrossRef]
  3. Li, X.; Cao, X.; Guo, M.; Xie, M.; Liu, X. Trends and risk factors of mortality and disability adjusted life years for chronic respiratory diseases from 1990 to 2017: Systematic analysis for the Global Burden of Disease Study. BMJ 2020, 368, m234. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  4. Downs, C.A.; Appel, S.J. Chronic obstructive pulmonary disease: Diagnosis and management. J. Am. Acad. Nurse Pract. 2007, 19, 126–132, PMID: 17341279. [Google Scholar] [CrossRef] [PubMed]
  5. Austin, V.; Crack, P.J.; Bozinovski, S.; Miller, A.A.; Vlahos, R. COPD and stroke: Are systemic inflammation and oxidative stress the missing links? Clin. Sci. 2016, 130, 1039–1050. [Google Scholar] [CrossRef] [Green Version]
  6. Puteikis, K.; Mameniškienė, R.; Jurevičienė, E. Neurological and Psychiatric Comorbidities in Chronic Obstructive Pulmonary Disease. Int. J. Chron. Obstruct. Pulmon. Dis. 2021, 3, 553–562, PMID: PMC7937394. [Google Scholar] [CrossRef]
  7. James, S.L.; Abate, D.; Abate, K.H.; Abay, S.M.; Abbafati, C.; Abbasi, N.; Abbastabar, H.; Abd-Allah, F.; Abdela, J.; Abdelalim, A.; et al. Global, regional, and national incidence, prevalence, and years lived with disability for 354 diseases and injuries for 195 countries and territories, 1990-2017: A systematic analysis for the Global Burden of Disease Study 2017. Lancet 2018, 392, 1789–1858. [Google Scholar] [CrossRef] [Green Version]
  8. Benjamin, E.J.; Virani, S.S.; Callaway, C.W.; Chamberlain, A.M.; Chang, A.R.; Cheng, S.; Chiuve, S.E.; Cushman, M.; Delling, F.N.; Deo, R.; et al. Heart disease and stroke statistics-2018 update: A report from the American Heart Association. Circulation 2018, 137, e67–e492. [Google Scholar] [CrossRef]
  9. Allen, C.L.; Bayraktutan, U. Risk factors for ischaemic stroke. Int. J. Stroke 2008, 3, 105–116. [Google Scholar] [CrossRef]
  10. Haeusler, K.G.; Herm, J.; Konieczny, M.; Grittner, U.; Lainscak, M.; Endres, M.; Doehner, W. Impact of chronic inflammatory airway disease on stroke severity and long-term survival after ischemic stroke-a retrospective analysis. BMC Neurol. 2015, 15, 164. [Google Scholar] [CrossRef] [Green Version]
  11. Von Elm, E.; Altman, D.G.; Egger, M.; Pocock, S.J.; Gøtzsche, P.C.; Vandenbroucke, J.P. Strengthening the reporting of observational studies in epidemiology (STROBE) statement: Guidelines for reporting observational studies. Int. J. Surg. 2014, 12, 1495–1499. [Google Scholar] [CrossRef] [Green Version]
  12. VanderWeele, T.J.; Ding, P. Sensitivity Analysis in Observational Research: Introducing the E-Value. Ann. Intern. Med. 2017, 167, 268–274. [Google Scholar] [CrossRef]
  13. Lackland, D.T.; Roccella, E.J.; Deutsch, A.; Fornage, M.; George, M.G.; Howard, G.; Kissela, B.M.; Kittner, S.J.; Lichtman, J.H.; Lisabeth, L.D.; et al. Factors influencing the decline in stroke mortality: A statement from the American Heart Association/American Stroke Association. Stroke 2014, 45, 315–353. [Google Scholar] [CrossRef] [Green Version]
  14. Finkelstein, J.; Cha, E.; Scharf, S.M. Chronic obstructive pulmonary disease as an independent risk factor for cardiovascular morbidity. Int. J. Chron. Obstruct. Pulmon. Dis. 2009, 4, 337–349. [Google Scholar] [CrossRef] [Green Version]
  15. Feary, J.R.; Rodrigues, L.C.; Smith, C.J.; Hubbard, R.B.; Gibson, J.E. Prevalence of major comorbidities in subjects with COPD and incidence of myocardial infarction and stroke: A comprehensive analysis using data from primary care. Thorax 2010, 65, 956–962. [Google Scholar] [CrossRef] [Green Version]
  16. Kim, Y.R.; Hwang, I.C.; Lee, Y.J.; Ham, E.B.; Park, D.K.; Kim, S. Stroke risk among patients with chronic obstructive pulmonary disease: A systematic review and meta-analysis. Clinics 2018, 73, e177. [Google Scholar] [CrossRef]
  17. De Miguel-Díez, J.; López-de-Andrés, A.; Jiménez-García, R.; Hernández-Barrera, V.; Jiménez-Trujillo, I.; Ji, Z.; de Miguel-Yanes, J.M.; López-Herranz, M. Sex Differences in the Incidence and Outcomes of COPD Patients Hospitalized with Ischemic Stroke in Spain: A Population-Based Observational Study. Int. J. Chronic Obstr. Pulm. Dis. 2021, 16, 1851–1862. [Google Scholar] [CrossRef]
  18. Shah, R.S.; Cole, J.W. Smoking and stroke: The more you smoke the more you stroke. Expert Rev. Cardiovasc. Ther. 2010, 8, 917–932. [Google Scholar] [CrossRef]
  19. Wańkowicz, P.; Staszewski, J.; Dębiec, A.; Nowakowska-Kotas, M.; Szylińska, A.; Rotter, I. Ischemic Stroke Risk Factors in Patients with Atrial Fibrillation Treated with New Oral Anticoagulants. J. Clin. Med. 2021, 10, 1223. [Google Scholar] [CrossRef]
  20. Scallan, C.; Doonan, R.J.; Daskalopoulou, S.S. The combined effect of hypertension and smoking on arterial stiffness. Clin. Exp. Hypertens. 2010, 32, 319–328. [Google Scholar] [CrossRef]
  21. Mayhan, W.G.; Sharpe, G.M. Effect of cigarette smoke extract on arteriolar dilatation in vivo. J. Appl. Physiol. 1996, 81, 1996–2003. [Google Scholar] [CrossRef] [Green Version]
  22. Mayhan, W.G.; Patel, K.P. Effect of nicotine on endothelium-dependent arteriolar dilatation in vivo. Am. J. Physiol. 1997, 272, H2337–H2342. [Google Scholar] [CrossRef]
  23. Roquer, J.; Segura, T.; Serena, J.; Castillo, J. Endothelial dysfunction, vascular disease and stroke: The ARTICO study. Cerebrovasc. Dis. 2009, 27 (Suppl. 1), 25–37. [Google Scholar] [CrossRef]
  24. Cheng, Y.J.; Liu, Z.H.; Yao, F.J.; Zeng, W.T.; Zheng, D.D.; Dong, Y.G.; Wu, S.H. Current and former smoking and risk for venous thromboembolism: A systematic review and meta-analysis. PLoS Med. 2013, 10, e1001515. [Google Scholar] [CrossRef] [Green Version]
  25. Anand, S.S. Smoking: A Dual Pathogen for Arterial and Venous Thrombosis. Circulation 2017, 135, 17–20. [Google Scholar] [CrossRef]
  26. Portegies, M.L.P.; Lahousse, L.; Joos, G.F.; Hofman, A.; Koudstaal, P.J.; Stricker, B.H.; Brusselle, G.G.; Ikram, M.A. Chronic Obstructive Pulmonary Disease and the Risk of Stroke. The Rotterdam Study. Am. J. Respir. Crit. Care Med. 2016, 193, 251–258. [Google Scholar] [CrossRef]
  27. Morgan, A.D.; Zakeri, R.; Quint, J.K. Defining the relationship between COPD and CVD: What are the implications for clinical practice? Ther. Adv. Respir. Dis. 2018, 12, 1753465817750524. [Google Scholar] [CrossRef] [Green Version]
  28. Lahousse, L.; Tiemeier, H.; Ikram, M.A.; Brusselle, G.G. Chronic obstructive pulmonary disease and cerebrovascular disease: A comprehensive review. Respir. Med. 2015, 109, 1371–1380. [Google Scholar] [CrossRef] [Green Version]
  29. Galesanu, R.G.; Bernard, S.; Marquis, K.; Lacasse, Y.; Poirier, P.; Bourbeau, J.; Maltais, F. Obesity in chronic obstructive pulmonary disease: Is fatter really better? Can. Respir. J. 2014, 21, 297–301. [Google Scholar] [CrossRef]
  30. Ojha, U.C.; Singh, D.P.; Choudhari, O.K.; Gothi, D.; Singh, S. Correlation of Severity of Functional Gastrointestinal Disease Symptoms with that of Asthma and Chronic Obstructive Pulmonary Disease: A Multicenter Study. Int. J. Appl. Basic Med. Res. 2018, 8, 83–88. [Google Scholar] [CrossRef]
  31. Restrepo, M.I.; Sibila, O.; Anzueto, A. Pneumonia in Patients with Chronic Obstructive Pulmonary Disease. Tuberc. Respir. Dis. 2018, 81, 187–197. [Google Scholar] [CrossRef] [PubMed]
  32. Battaglia, S.; Benfante, A.; Principe, S.; Basile, L.; Scichilone, N. Urinary Incontinence in Chronic Obstructive Pulmonary Disease: A Common Co-morbidity or a Typical Adverse Effect? Drugs Aging. 2019, 36, 799–806. [Google Scholar] [CrossRef] [PubMed]
  33. Finlayson, O.; Kapral, M.; Hall, R.; Asllani, E.; Selchen, D.; Saposnik, G. Risk factors, inpatient care, and outcomes of pneumonia after ischemic stroke. Neurology 2011, 77, 1338–1345. [Google Scholar] [CrossRef] [PubMed]
  34. Gong, S.; Zhou, Z.; Zhou, M.; Lei, Z.; Guo, J.; Chen, N.; He, L. Validation of risk scoring models for predicting stroke-associated pneumonia in patients with ischaemic stroke. Stroke Vasc. Neurol. 2016, 1, 122. [Google Scholar] [CrossRef] [Green Version]
  35. Quyet, D.; Hien, N.M.; Khan, M.X.; Dai, P.D.; Thuan, D.D.; Duc, D.M.; Hai, N.D.; Nam, B.V.; Huy, P.Q.; Ton, M.D.; et al. Risk Factors for Stroke Associated Pneumonia. Open Access Maced. J. Med. Sci. 2019, 7, 4416–4419. [Google Scholar] [CrossRef]
  36. Curkendall, S.M.; DeLuise, C.; Jones, J.K.; Lanes, S.; Stang, M.R.; Goehring, E., Jr.; She, D. Cardiovascular disease in patients with chronic obstructive pulmonary disease, Saskatchewan Canada cardiovascular disease in COPD patients. Ann. Epidemiol. 2006, 16, 63–70. [Google Scholar] [CrossRef]
Figure 1. Study flowchart. Notes: COPD—chronic obstructive pulmonary disease; n—number of patients.
Figure 1. Study flowchart. Notes: COPD—chronic obstructive pulmonary disease; n—number of patients.
Brainsci 12 00106 g001
Figure 2. Annual probability of survival in stroke patients according to the presence of COPD.
Figure 2. Annual probability of survival in stroke patients according to the presence of COPD.
Brainsci 12 00106 g002
Table 1. Demographic data and comorbidities in the stroke patients in relation to the presence of COPD.
Table 1. Demographic data and comorbidities in the stroke patients in relation to the presence of COPD.
VariablesNo COPD (n = 906)COPD (n = 95)p
Demographic data
Age [years], mean ± SD; Me 72.08 ± 12.32; 71.071.55 ± 10.92; 71.00.570
Gender [male]—n, (%)460 (50.77%)63 (66.32%)0.004 *
BMI [kg/m2], mean ± SD; Me26.89 ± 4.69; 26.025.99 ± 4.79; 25.80.129
Smoking, n (%)348 (38.41%)69 (72.63%)<0.001 *
Co-morbidities
Arterial hypertension—n, (%)787 (86.87%)82 (86.32%)0.880
Ischemic heart diseases—n, (%)230 (25.39%)28 (29.47%)0.386
Myocardial infarction, n (%)94 (10.38%)13 (13.68%)0.321
Myocardial infarction over the past 90 days, n (%) 9 (0.99%)0 (0.00%)0.686
NYHA III and IV, n (%)35 (4%)7 (7%)0.176
TIA over the last 30 days, n (%)112 (12.36%)17 (17.89%)0.125
TIA earlier than last 30 days, n (%)89 (9.82%)18 (18.95%)0.014 *
Ischemic stroke, n (%)193 (21.30%)29 (30.53%)0.040 *
Hemorrhagic stroke, n (%)23 (2.54%)1 (1.05%)0.584
Changes in CT, n (%)286 (31.57%)38 (40.00%)0.095
Acute renal failure on admission, n (%)8 (0.88%)1 (1.05%)0.686
Chronic renal failure, n (%)121 (13.36%)22 (23.16%)0.009 *
Chronic dialysis, n (%)2 (0.22%)0 (0.00%)0.454
Impaired insulin tolerance, n (%)41 (4.53%)7 (7.37%)0.326
Diabetes on oral medications, n (%)190 (20.97%)15 (15.79%)0.234
Diabetes on insulin, n (%)116 (12.82%)13 (13.68%)0.811
Gout, n (%)60 (6.62%)5 (5.26%)0.769
Extracardiac arteriopathy, n (%)388 (42.83%)66 (69.47%)<0.001 *
Atrial fibrillation, n (%)264 (29.17%)29 (30.53%)0.782
ICA stenosis, n (%)75 (39.68%)12 (42.86%)0.749
Legend: n—number of patients; SD—standard deviation; Me—median; COPD—chronic obstructive pulmonary disease; BMI—body mass index; TIA—transient ischemic attack; NYHA—New York Heart Association; CT—computed tomography; ICA—internal carotid artery; *—statistical significance.
Table 2. Neurological data in stroke patients according to the presence of COPD.
Table 2. Neurological data in stroke patients according to the presence of COPD.
VariablesNo COPD (n = 906)COPD (n = 95)p
Rankin score at admission, mean ± SD; Me3.08 ± 1.59; 3.0 3.45 ± 1.62; 4.00.040 *
NIHSS on admission, mean ± SD; Me11.22 ± 7.93; 8.012.72 ± 8.21; 10.00.062
Hemianopia, n (%)327 (36.09%)42 (44.21%)0.119
Dysphasia, n (%)495 (54.64%)52 (54.74%)0.985
Brainstem stroke, n (%)43 (4.75%)4 (4.21%)0.984
Secondary hemorrhage, n (%)33 (3.64%)1 (1.05%)0.304
Paresis, (%)Right sided434 (53.19%)39 (44.32%)0.257
Left sided364 (44.61%)46 (52.27%)
Bilateral18 (2.21%)3 (3.41%)
CT scan, (%)No lesion59 (6.51%)4 (4.21%)0.368
Lesion < 2.5 cm374 (41.28%)33 (34.74%)
Lesion > 2.5 cm450 (49.67%)56 (58.95%)
Lacunar stroke23 (2.54%)2 (2.11%)
Cerebral artery area, n (%)Anterior176 (19.66%)19 (20.00%)0.981
Middle590 (65.92%)63 (66.32%)
Posterior129 (14.41%)13 (13.68%)
Carotid artery stenosis, n (%)No stenosis31 (3.53%)1 (1.09%)0.162
Stenosis < 50%534 (60.89%)47 (51.09%)
Stenosis 50–70%204 (23.26%)28 (30.43%)
Stenosis > 70%48 (5.47%)8 (8.70%)
Occlusion60 (6.84%)8 (8.70%)
Stroke treatment, n (%)Conservative735 (81.13%)84 (88.42%)0.079
Thrombolysis171 (18.87%)11 (11.58%)
CEA/CAS intervention after stroke No intervention861 (95.03%)92 (96.84%)0.718
CEA44 (4.86%)3 (3.16%)
CAS1 (0.11%)0 (0.00%)
Decompressive craniectomyno904 (99.89%)95 (100.00%)0.167
yes1 (0.11%)0 (0.00%)
Legend: n—number of patients; SD—standard deviation; Me—median; COPD—chronic obstructive pulmonary disease; NIHSS—National Institutes of Health Stroke Scale; CT—computed tomography; CEA—carotid endarterectomy; CAS—carotid artery stenting; *—statistical significance.
Table 3. Laboratory data in stroke patients according to the presence of COPD.
Table 3. Laboratory data in stroke patients according to the presence of COPD.
Laboratory DataNo COPD (n = 906)COPD (n = 95)p
Mean±SDMeMean±SDMe
Glycemia 0 (mg/dL)143.4361.55125.0139.0853.27122.00.520
Leucocyte count (× 109/L) 9.743.949.010.444.259.50.199
Neutrophil count (× 109/L) 6.924.576.07.594.136.70.191
Lymphocyte count (× 109/L)2.001.301.92.496.381.70.369
Platelet count (× 109/L)238.4979.89227.5253.32140.49229.00.740
Hemoglobin13.871.7913.913.352.0513.40.028 *
Creatinine1.070.640.91.080.520.90.403
CRP17.6441.863.029.6753.777.7<0.001 *
Aspartate aminotransferase27.4555.7620.023.9515.4321.00.749
Alanine aminotransferase24.4438.3618.021.2713.8217.50.624
Cholesterol193.9354.14189.0185.0451.84184.00.304
Triglyceride142.6887.21121.0121.0776.2599.00.003 *
Troponin T35.60107.9211.023.9826.5615.40.060
Legend: n—number of patients; SD—standard deviation; Me—median; COPD—chronic obstructive pulmonary disease; CRP—C-reactive protein; *—statistical significance.
Table 4. Evaluation of complications and mortality in patients after stroke according to the presence of COPD.
Table 4. Evaluation of complications and mortality in patients after stroke according to the presence of COPD.
ComplicationsNo COPD (n = 906)COPD (n = 95)p
Cardiological complications
Heart failure, n (%)119 (13.13%)27 (28.42%)<0.001 *
Myocardial infarction, n (%)31 (3.42%)3 (3.16%)0.871
Sudden cardiac arrest, n (%)88 (9.71%)12 (12.63%)0.469
Atrial fibrillation, n (%)12 (1.32%)6 (6.32%)0.002 *
Renal complications
Acute renal failure, n (%)8 (0.88%)4 (4.21%)0.019 *
Exacerbation of CRF, n (%)10 (1.10%)5 (5.26%)0.006 *
Hemofiltration in ARF, n (%)1 (0.11%)0 (0.00%)0.167
Urinary tract infection, n (%)69 (7.62%)2 (2.11%)0.075
Neurological complications
Seizures, n (%)15 (1.66%)3 (3.16%)0.521
Delirium, n (%)125 (13.80%)30 (31.58%)<0.001 *
Other complications, n (%)41 (4.53%)5 (5.26%)0.947
Pulmonary complications
Respiratory failure, n (%)91 (10.06%)14 (14.74%)0.157
Pneumonia, n (%)185 (20.42%)42 (44.21%)<0.001 *
Pulmonary embolism, n (%)2 (0.22%)1 (1.05%)0.671
Bronchospasm, n (%)21 (2.32%)7 (7.37%)0.012 *
Bed sores, n (%)30 (3.31%)0 (0.00%)0.137
Sepsis, n (%)10 (1.10%)2 (2.11%)0.721
Mortality
Mortality up to day 7, n (%)59 (6.51%)9 (9.47%)0.380
Mortality up to day 30, n (%)143 (15.78%)24 (25.26%)0.027 *
Mortality up to day 90, n (%)204 (22.52%)38 (40.00%)<0.001 *
Mortality up to 1 year, n (%)253 (27.92%)51 (53.68%)<0.001 *
Hospitalization length (days); mean ± SD, Me10.62 ± 6.85; 9.011.84 ± 8.49; 10.00.015 *
Scale at discharge
NIHSS; mean ± SD, Me10.59 ± 12.83; 5.014.13 ± 13.63; 9.00.001 *
Rankin score; mean ± SD, Me2.56 ± 2.23; 2.03.31 ± 2.15; 3.00.001 *
OutcomeIn-hospital death, n, (%)90 (9.93%)14 (14.74%)0.144
Discharged home, n, (%)541 (59.71%)43 (45.26%)0.007 *
Nursing home, n, (%)79 (8.72%)13 (13.68%)0.111
Rehabilitation facility, n, (%)180 (19.87%)25 (26.32%)0.138
Another ward, n, (%)16 (1.77%)0 (0.00%)0.381
Legend: n—number of patients; SD—standard deviation; Me—median; COPD—chronic obstructive pulmonary disease; ARF—acute renal failure; CRF—chronic renal failure; NIHSS—National Institutes of Health Stroke Scale; *—statistical significance.
Table 5. Multivariate logistic regression in patients after a stroke.
Table 5. Multivariate logistic regression in patients after a stroke.
COPD Not AdjustedCOPD Adjusted by **
p-ValueE-Value (OR)ORCI-95%CI+95%p-ValueE-Value (OR)ORCI-95%CI+95%
Scale at discharge
NIHSS scale0.012 *1.3221.0191.0041.0340.2901.2851.0120.9901.033
Rankin score0.002 *1.6051.1471.0501.2530.044 *1.6251.1611.0041.342
Complications
Heart failure<0.001 *2.7502.6261.6164.2680.048 *2.2841.8791.0053.511
Atrial fibrillation0.002 *3.8215.0221.84013.7060.012 *3.7164.7461.39816.106
Acute renal failure0.010 *3.7884.9341.45716.7040.1862.8432.7970.60812.865
Exacerbation of chronic renal failure0.004 *3.8054.9781.66514.8820.6421.9681.4790.2847.692
Delirium<0.001 *2.8892.8841.7994.623<0.001 *2.8472.8031.5834.964
Pneumonia<0.001 *2.9943.0881.9974.7760.005 *2.6352.4241.3094.489
Bronchospasm0.007 *3.1233.3521.3868.1060.023 *3.1453.4001.1809.791
Mortality up to day 300.020 *2.2301.8041.0982.9620.4601.7611.2700.6742.394
Mortality up to day 90<0.001 *2.5572.2941.4793.5590.1342.0531.5770.8692.861
Mortality up to 1 year<0.001 *2.9452.9921.9494.5930.001 *2.7672.6561.4564.847
Hospitalization length0.1131.3231.0190.9951.0440.9881.0001.0000.9711.030
Legend: n—number of patients; OR—odds ratio; CI—confidence interval; COPD—chronic obstructive pulmonary disease; p—the value of statistical significance; E-value—the potential index of unmeasured confounding; NIHSS—National Institutes of Health Stroke Scale; *—statistical significance. Notes: ** COPD adjusted by gender, smoking, ischemic stroke, TIA more than 30 days ago, chronic renal failure, extracardiac arteriopathy, ranking score at admission, hemoglobin, C-reactive protein, and triglyceride.
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Szylińska, A.; Kotfis, K.; Bott-Olejnik, M.; Wańkowicz, P.; Rotter, I. Post-Stroke Outcomes of Patients with Chronic Obstructive Pulmonary Disease. Brain Sci. 2022, 12, 106. https://doi.org/10.3390/brainsci12010106

AMA Style

Szylińska A, Kotfis K, Bott-Olejnik M, Wańkowicz P, Rotter I. Post-Stroke Outcomes of Patients with Chronic Obstructive Pulmonary Disease. Brain Sciences. 2022; 12(1):106. https://doi.org/10.3390/brainsci12010106

Chicago/Turabian Style

Szylińska, Aleksandra, Katarzyna Kotfis, Marta Bott-Olejnik, Paweł Wańkowicz, and Iwona Rotter. 2022. "Post-Stroke Outcomes of Patients with Chronic Obstructive Pulmonary Disease" Brain Sciences 12, no. 1: 106. https://doi.org/10.3390/brainsci12010106

APA Style

Szylińska, A., Kotfis, K., Bott-Olejnik, M., Wańkowicz, P., & Rotter, I. (2022). Post-Stroke Outcomes of Patients with Chronic Obstructive Pulmonary Disease. Brain Sciences, 12(1), 106. https://doi.org/10.3390/brainsci12010106

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop