Sex Differences in the Incidence and Outcomes of COPD Patients Hospitalized with Ischemic Stroke in Spain: A Population-Based Observational Study.

Purpose: To compare the incidence, clinical characteristics and outcomes of patients admitted with ischemic stroke (IS) according to the presence of COPD and sex in Spain (2016-2018). Patients and
Methods: We selected all admissions with IS (≥35 years) included in the Spanish National Hospital Discharge Database. We matched each patient suffering COPD with a non-COPD patient with identical age, sex, IS type and year of hospitalization.
Results: IS was coded in 92,524 men and 79,731 women (8.67% with COPD). The incidence of IS was higher in COPD men than in non-COPD men (IRR 1.04; 95% CI 1.03-1.06), although the differences were not significant among women. COPD men had twice higher incidence of IS than COPD women (IRR 2.00; 95% CI 1.93-2.07). After matching, COPD men had a higher in-hospital mortality (IHM) than non-COPD men (11.48% vs 9.80%; p<0.001), and the same happened among women (14.09% vs 11.96%; p=0.002). COPD men received thrombolytic therapy less frequently than non-COPD men. For men and women, the risk of dying in the hospital increased with age, some comorbidities and mechanical ventilation use. After multivariable adjustment, COPD increased the risk of IHM in men (OR 1.16; 95% CI 1.06-1.28) and women (OR 1.12; 95% CI 1.01-1.27). Finally, among COPD patients, being women increased the risk of dying during the hospitalization with IS by 15% (OR 1.15; 95% CI 1.03-1.28).
Conclusion: Incidence of IS was higher in COPD patients, although the difference was only significant for men. COPD was associated with an increased risk of IHM. Among COPD patients, women had higher IHM.

Introduction

Chronic obstructive pulmonary disease (COPD) is a leading cause of morbidity and mortality worldwide. Consequently, it induces a substantial and increasing economic and social burden.1 Much of the disease burden is associated with the management of its comorbidities.2 Cardiovascular diseases rank among the most frequently observed in people with COPD and they could contribute to disease progression, poor clinical outcomes and mortality in this population.3 In recent years, several studies have also shown that COPD may be a risk factor for stroke, another major cause of death worldwide.4,5

The factors linking COPD and stroke are currently not fully understood. It cannot be completely explained by common risk factors such as aging and smoking and has been also attributed to chronic systemic inflammation, tissue hypoxia and oxidative stress.6–9 Anyway, currently there is a growing interest to study lung–brain interactions.

Despite epidemiological and pathophysiological considerations described, scarce information exists on subtypes of stroke in COPD patients.10 Current data suggest that COPD may increase the risk of hemorrhagic stroke.5 In addition, the incidence of other stroke subtypes may also be increased in COPD or may be due to confounding factors. In this sense, recent studies have shown that carotid arteries plaque burden is increased in COPD patients and that these plaques are more prone to rupture, due to an increased lipid content, which could lead to ischemic stroke,11 which is the most common subtype.12

Recently, it has been described that men and women are differently affected by an ischemic stroke. So, for example, women patients with this disease have a higher chance of receiving intraarterial treatment and they have a more favorable in-hospital recovery than men.13 However, to our knowledge, there are no studies that have evaluated the existence of sex differences in patients with stroke based on the presence or not of COPD.

The objectives of this investigation are to assess the differences, according to the presence of COPD and sex, in the incidence of patients admitted with a primary diagnosis of ischemic stroke and to compare their clinical characteristics and in hospital outcomes. We also tried to assess which variables are independently associated with a higher mortality after hospitalization by ischemic stroke among men and women with COPD.

Patients and Methods

Study Design and Data Source

This is an epidemiological retrospective observational study. The database used is the Spanish National Hospital Discharge Database (SNHDD). This database is managed by the Spanish Ministry of Health and collects over 95% of all hospitals (public and private) discharges in Spain. The SNHDD uses the International Classification of Disease version 10 (ICD-10) for coding. The variables and characteristic of the SNHDD can be found online.14

Study Population

We have analyzed data from all subjects aged ≥35 years hospitalized and recorded in the SNHDD from 2016 to 2018. The reason to include only those aged 35 years or over is the very low prevalence of COPD among those aged under this age in Spain.15

Our study population includes subjects discharged with a primary diagnosis of ischemic stroke identified with the ICD-10 codes shown in .

The population was stratified according sex and to the presence or not of a COPD diagnosis code (J44.0, J44.1, and J44.9) in any diagnosis position (2–20).

Study Variables

Our main outcome variables of interest included the incidence of ischemic stroke, in hospital mortality (IHM) and length of hospital stay (LOHS). We also analyzed the use of endovascular thrombectomy and thrombolytic therapy during the hospitalization.

We calculated incidence rates of admission for ischemic stroke hospitalization per 100,000 inhabitants with and without COPD for the period 2016–18. The estimated Spanish population suffering COPD was obtained using data from the 2016/17 Spanish National Health Survey (SNHS2017).16 The SNHS is a periodical survey that constitutes the main source of information on the health of the population residing in Spain. It is performed every six years and is a part of the National Health System’s (NHS) Information System. It collects data on a representative sample of the Spanish Population and yields prevalence estimations of chronic diseases. In the SNHS2017, 23,090 adults aged ≥15 years were interviewed. Using the database of the SNHS2017 we obtained the prevalence of COPD for men and women in the age groups used in our investigation (35–49 years, 50–64 years, 65–79 years and ≥80 years). These specific sex-age group prevalence of COPD were then multiplied by the population living in Spain on 1 July 2017 in each of these sex and age strata. The populations according to age and sex can be freely downloaded from the Spanish National Statistics Institute webpage.17 We then divided the number of ischemic stroke hospitalization among COPD patients in each sex and age group by estimated number of subjects suffering COPD living in Spain in that same sex-age groups to obtain the incidence of ischemic stroke hospitalization per 100,000 persons with COPD. The same method was used to calculate the sex and age group incidences among those without COPD.

Independent variables included sex, age, comorbidities and procedures conducted during the hospital admission. To quantify comorbidity, the Charlson Comorbidity Index (CCI) was calculated for each patient with the algorithms described by Sundararajan et al.18

We specifically also described and compared the prevalence between patients with and without COPD of cardiovascular risk factors (obesity, hypertension, lipid metabolism disorders), chronic diseases present at admission (renal disease, acute myocardial infarction, atrial fibrillation, congestive heart failure, dementia, anemia, peripheral vascular disease, alcohol abuse, depression) and therapeutic procedure (mechanical ventilation, endovascular thrombectomy and thrombolytic therapy). The ICD10 codes used appear in and reference #18.

Matching Method

We matched within the database of the SNHDD each man suffering COPD with a non-COPD man with identical age, type of ischemic stroke (using up to the second ICD 10 code digit) and year of hospitalization. The same process was done for women. Also, to assess sex differences, a pair matching was done for each COPD woman with a COPD man using the three variables described before.

Statistical Analysis

The statistical analysis was conducted separately for women and men.

Descriptive statistics for continuous variables were reported as means with standard deviation or medians with interquartile range and with absolute frequency and percentage for categorical variables.

To estimate the differences in the incidence between study groups, the statistical method used was Poisson regression. We constructed models adjusted by age and sex or only age depending on the groups being compared.

Student’s t-test or Mann–Whitney test was used to compare means and medians, respectively. Prevalence and proportions were compared with the chi-square tests.

Multivariable logistic regression models were constructed, using IHM as the dependent variable, to identify those variables independently associated with dying during the hospital admission after ischaemic stroke. Separate models for men, women and both sexes according to the presence of COPD were constructed following the recommendations of Hosmer et al.19

Stata version 14 (Stata, College Station, Texas, USA) was the statistical software for matching and descriptive and bivariate and multivariable analytical statistics. Two-sided P-value of <0.05 was the cut-point used for significance.

Sensitivity Analysis

To confirm the results of the pair matching method, we also analyzed the database without matching to assess the effect of sex on the IHM among all COPD patients hospitalized with ischemic stroke using multivariable logistic regression. Finally, we also analyzed all men and women hospitalized with ischemic stroke to confirm the possible influence of COPD in the IHM using the same statistical method.

Ethical Aspects

The SHDD database can be requested by any researcher from the Spanish Ministry of Health using the online questionnaire.20 According to Spanish law, the use of anonymized databases provided by official bodies does not require authorization from an Ethics Committee. This is so because the Ministry of Health only transfers the data if all ethical requirements are guaranteed.

Results

The number of hospital discharges in Spain from 2016 to 2018 for patients aged 35 years or over with a primary diagnosis of ischemic stroke was 172,255, men represent 53.71% (N=92,524) and women 46.29% (N=79,731). The overall prevalence of COPD was 8.67% (10.91% for men and 6.08% for women; p<0.001).

Incidence of Ischemic Stroke According to COPD Status

As can be seen in Table 1, the total crude incidence of ischemic stroke is higher (P<0.001) among the COPD population (1025.07 per 100,000 persons with COPD) than among those without COPD (566.78 per 100,000 persons without COPD), resulting in an age-sex-adjusted IRR of 1.02 (95% CI 1.01–1.03).

Table 1

Incidence of Ischemic Stroke Hospitalizations According to Presence of COPD, Sex and Age Groups

Sex	Age Groups	No COPD	COPD	p-value
		N (Inc/105)	N (Inc/105)
Men	35–49 years	4633(84.11)	129(135.16)	<0.001
	50–64 years	19,958(443.1)	1461(777.64)	<0.001
	65–79 years	32,481(1310.43)	4388(1481.43)	<0.001
	≥80 years	25,351(3113.85)	4123(2492.85)	<0.001
	All age groups	82,423(619.49)	10,101(1356)	<0.001
IRR	(95% CI)	Ref	1.04 (1.03–1.06)	0.007
Women	35–49 years	2391(43.81)	120(120.55)	<0.001
	50–64 years	7290(158.85)	538(281.87)	<0.001
	65–79 years	22,604(771.73)	1524(613.71)	<0.001
	≥80 years	42,598(2890.69)	2666(1526.07)	<0.001
	All age groups	74,883(518.24)	4848(679.53)	<0.001
IRR	(95% CI)	Ref	0.98 (0.96–1.01)	0.235
Total	35–49 years	7024(64.06)	249(127.7)	<0.001
	50–64 years	27,248(299.64)	1999(527.8)	<0.001
	65–79 years	55,085(1018.65)	5912(1085.71)	<0.001
	≥80 years	67,949(2970.11)	6789(1996.23)	<0.001
	All age groups	157,306(566.78)	14,949(1025.07)	<0.001
IRR	(95% CI)	Ref	1.02(1.01–1.03)	0.012
IRR men vs women* (95% CI)		2.00(1.93–2.07)	1.51(1.49–1.53)	<0.001**

Notes: *IRR for age-adjusted incidence of ischemic stroke of COPD men vs COPD women (reference category), and men without COPD vs women without COPD (reference category). **P value for Poisson Regression for men vs women with and without COPD.

Abbreviations: COPD, chronic obstructive pulmonary disease; Inc/105, Incidence per 100,000 people with or without COPD; IRR, Iincidence rate ratio; CI, confidence interval; Ref, reference category; IRR, obtained using Poisson Regression and adjusted by age and sex as required.

According to sex, we found that among men with COPD the ischemic stroke incidence was significantly higher (1356 vs 619.49; Age-adjusted IRR 1.04 95% CI 1.03–1.06) than among non-COPD men. Among women, we found no differences in the age adjusted incidence of ischemic stroke (IRR 0.98; 95% CI 0.96–1.01).

Men with COPD had twice higher age-adjusted incidence of ischemic stroke than COPD women (IRR 2.00; 95% CI 1.93–2.07). Among men without COPD the age-adjusted incidence was also higher than in non-COPD women (IRR 1.51; 95% CI 1.49–1.53).

Clinical Characteristics and Hospital Outcomes for Men and Women with Ischemic Stroke According to COPD Status

The clinical characteristics, therapeutic procedures and hospital outcomes before and after pair-matching by age and ischemic stroke type for men hospitalized with ischemic stroke according to the presence of COPD are shown in Table 2.

Table 2

Clinical Characteristics, Use of Therapeutic Procedures and Hospital Outcomes Before and After Matching by Age and Ischemic Stroke Type (ICD 10) for Men Hospitalized with Ischemic Stroke According to the Presence of COPD

Variables	Before Matching			After Matching
	No COPD	COPD	p-value	No COPD	COPD	p-value
IS by thrombosis of precerebral arteries n(%)	2835(3.44)	324(3.21)	0.523	324(3.21)	324(3.21)	NA
IS by embolism of precerebral arteries n(%)	1502(1.82)	181(1.79)	0.989	180(1.78)	180(1.78)	NA
IS by unspecified occlusion or stenosis of precerebral arteries n(%)	5394(6.54)	655(6.48)	0.987	655(6.49)	655(6.49)	NA
IS by thrombosis of cerebral arteries n(%)	11,482(13.93)	1436(14.22)	0.328	1436(14.22)	1436(14.22)	NA
IS by embolism of cerebral arteries n(%)	15,006(18.21)	2015(19.95)	<0.001	2015(19.95)	2015(19.95)	NA
IS by unspecified occlusion or stenosis of cerebral arteries n(%)	28,673(34.79)	3499(34.64)	0.450	3499(34.65)	3499(34.65)	NA
IS by cerebral venous thrombosis, non pyogenic n(%)	71(0.09)	9(0.09)	0.999	8(0.08)	8(0.08)	NA
Other cerebral infarction n(%)	3672(4.46)	379(3.75)	0.020	379(3.75)	379(3.75)	NA
Cerebral infarction, unspecified n(%)	13,788(16.73)	1603(15.87)	0.007	1603(15.87)	1603(15.87)	NA
Age, mean (SD)	71.24(12.73)	75.58(10.40)	<0.001	75.58(10.40)	75.58(10.40)	NA
CCI, mean (SD)	1.91(0.94)	2.19(1.05)	<0.001	1.96(0.97)	2.19(1.05)	<0.001
Obesity, n(%)	5053(6.13)	812(8.04)	<0.001	518(5.13)	812(8.04)	<0.001
Hypertension, n(%)	45,054(54.66)	5553(54.97)	0.551	5609(55.54)	5552(54.98)	0.420
Lipid metabolism disorders, n(%)	33,309(40.41)	4368(43.24)	<0.001	4121(40.81)	4367(43.24)	<0.001
Type 2 diabetes mellitus, n(%)	25,242(30.62)	3399(33.65)	<0.001	3298(32.66)	3399(33.66)	0.131
Renal disease, n(%)	7009(8.5)	1408(13.94)	<0.001	1000(9.9)	1408(13.94)	<0.001
Atrial fibrillation, n(%)	18,314(22.22)	2955(29.25)	<0.001	2605(25.79)	2954(29.25)	<0.001
Congestive heart failure, n(%)	4446(5.39)	1047(10.37)	<0.001	601(5.95)	1047(10.37)	<0.001
Peripheral vascular disease, n(%)	5203(6.31)	1135(11.24)	<0.001	637(6.31)	1135(11.24)	<0.001
Acute myocardial infarction, n(%)	4153(5.04)	632(6.26)	<0.001	570(5.64)	632(6.26)	0.065
Dementia, n(%)	2626(3.19)	397(3.93)	<0.001	407(4.03)	397(3.93)	0.719
Anemia, n(%)	1948(2.36)	421(4.17)	<0.001	275(2.72)	421(4.17)	<0.001
Alcohol abuse, n(%)	8900(10.8)	1442(14.28)	<0.001	924(9.15)	1442(14.28)	<0.001
Depression, n(%)	2563(3.11)	402(3.98)	<0.001	298(2.95)	402(3.98)	<0.001
Mechanical ventilation, n(%)	2172(2.64)	322(3.19)	0.001	233(2.31)	322(3.19)	<0.001
Endovascular thrombectomy, n(%)	3552(4.31)	424(4.2)	0.601	407(4.03)	424(4.2)	0.547
Thrombolytic therapy, n(%)	5957(7.23)	619(6.13)	<0.001	748(7.41)	619(6.13)	<0.001
LOHS, median (IQR)	7(7)	7(8)	0.076	7(7)	7(8)	0.854
In-hospital mortality, n(%)	6870(8.34)	1159(11.47)	<0.001	990(9.8)	1159(11.48)	<0.001

Abbreviations: IS, ischemic stroke; COPD, chronic obstructive pulmonary disease; CCI, Charlson Comorbidity Index; LOHS, length of hospital stay.

After matching, men with COPD have more mean number of comorbid conditions according to the CCI than non-COPD men (2.19 vs 1.96; p<0.001). Remarkably higher is the prevalence of obesity, lipid metabolism disorders, renal disease, atrial fibrillation, congestive heart failure, peripheral vascular disease, anemia and depression. The prevalence of alcohol abuse was also higher among COPD men (14.28% vs 9.15%; p<0.001).

After matching, COPD men have more frequently received mechanical ventilation (3.19% vs 2.31%; p<0.001); however, they received less thrombolytic therapy than non-COPD men (6.13% vs 7.41%; p<0.001). IHM was significantly higher in COPD men than in men without COPD (11.48% vs 9.8%; p<0.001).

When we compare women with and without COPD who suffered ischemic stroke before and after matching, we obtain the results shown in Table 3. Like described for men, women with COPD have significantly higher mean CCI (2.09 vs 1.90; p<0.001). Also, alcohol abuse and the prevalence of most clinical conditions were higher among matched COPD women. However, hypertension and dementia were significantly more frequent among non-COPD women (58.99% and 6.79% vs 55.92% and 5.78%, respectively; p<0.001).

Table 3

Clinical Characteristics, Use of Therapeutic Procedures and Hospital Outcomes Before and After Matching by Age and Ischemic Stroke Type (ICD 10) for Women Hospitalized with Ischemic Stroke According to the Presence of COPD

Variables	Before Matching			After Matching
	No COPD	COPD	p-value	No COPD	COPD	p-value
IS by thrombosis of precerebral arteries n(%)	1536(2.05)	74(1.53)	0.047	74(1.53)	74(1.53)	NA
IS by embolism of precerebral arteries n(%)	1349(1.8)	92(1.9)	0.781	92(1.9)	92(1.9)	NA
IS by unspecified occlusion or stenosis of precerebral arteries n(%)	3148(4.2)	206(4.25)	0.977	206(4.25)	206(4.25)	NA
IS by thrombosis of cerebral arteries n(%)	8678(11.59)	594(12.25)	0.040	594(12.25)	594(12.25)	NA
IS by embolism of cerebral arteries n(%)	18,212(24.32)	1241(25.6)	<0.001	1241(25.6)	1241(25.6)	NA
IS by unspecified occlusion or stenosis of cerebral arteries n(%)	27,143(36.25)	1768(36.47)	0.289	1768(36.47)	1768(36.47)	NA
IS by cerebral venous thrombosis, non pyogenic n(%)	86(0.11)	6(0.12)	0.985	6(0.12)	6(0.12)	NA
Other cerebral infarction n(%)	2621(3.5)	142(2.93)	0.060	142(2.93)	142(2.93)	NA
Cerebral infarction, unspecified n(%)	12,110(16.17)	725(14.95)	0.001	725(14.95)	725(14.95)	NA
Age, mean (SD)	78.54(12.03)	78.06(11.53)	0.007	78.06(11.53)	78.06(11.53)	NA
CCI, mean (SD)	1.90(0.92)	2.09(0.99)	<0.001	1.90(0.93)	2.09(0.99)	<0.001
Obesity, n(%)	5744(7.67)	638(13.16)	<0.001	368(7.59)	638(13.16)	<0.001
Hypertension, n(%)	43,427(57.99)	2711(55.92)	0.005	2860(58.99)	2711(55.92)	0.002
Lipid metabolism disorders, n(%)	29,654(39.6)	2221(45.81)	<0.001	1887(38.92)	2221(45.81)	<0.001
Type 2 diabetes mellitus, n(%)	20,770(27.74)	1458(30.07)	<0.001	1365(28.16)	1458(30.07)	0.038
Renal disease, n(%)	7290(9.74)	694(14.32)	<0.001	486(10.02)	694(14.32)	<0.001
Atrial fibrillation, n(%)	25,792(34.44)	1860(38.37)	<0.001	1720(35.48)	1860(38.37)	0.003
Congestive heart failure, n(%)	5251(7.01)	672(13.86)	<0.001	345(7.12)	672(13.86)	<0.001
Peripheral vascular disease, n(%)	2103(2.81)	192(3.96)	<0.001	137(2.83)	192(3.96)	0.002
Acute myocardial infarction, n(%)	1975(2.64)	155(3.2)	0.019	119(2.45)	155(3.2)	0.027
Dementia, n(%)	5799(7.74)	280(5.78)	<0.001	329(6.79)	280(5.78)	0.040
Anemia, n(%)	3382(4.52)	286(5.9)	<0.001	223(4.6)	286(5.9)	0.004
Alcohol abuse, n(%)	812(1.08)	110(2.27)	<0.001	58(1.2)	110(2.27)	<0.001
Depression, n(%)	5759(7.69)	545(11.24)	<0.001	379(7.82)	545(11.24)	<0.001
Mechanical ventilation, n(%)	1404(1.87)	161(3.32)	<0.001	96(1.98)	161(3.32)	<0.001
Endovascular thrombectomy, n(%)	3387(4.52)	215(4.43)	0.774	205(4.23)	215(4.43)	0.618
Thrombolytic therapy, n(%)	5366(7.17)	299(6.17)	0.009	350(7.22)	299(6.17)	0.038
LOHS, median (IQR)	7(7)	7(8)	0.081	7(7)	7(8)	0.951
In-hospital mortality, n(%)	10,054(13.43)	683(14.09)	0.191	580(11.96)	683(14.09)	0.002

Abbreviations: IS, ischemic stroke; COPD, chronic obstructive pulmonary disease; CCI, Charlson Comorbidity Index; LOHS, length of hospital stay.

Regarding procedures and hospital outcomes, we found that after matching, women with COPD have more frequently a code for mechanical ventilation (3.32% vs 1.98%; p<0.001). The IHM was significantly different higher among COPD women after matching (14.09% vs 11.96%; p=0.002).

Clinical Characteristics and Hospital Outcomes for COPD Patients with Ischemic Stroke According to Sex

As can be seen in Table 4, after matching, COPD men who suffered ischemic stroke had a higher mean CCI than COPD women (2.22 vs 2.09; p<0.001). Specifically, men had higher prevalence of type 2 diabetes mellitus (32.68% vs 30.52; p=0.025), renal disease (15.91% vs 14.03; p=0.011), peripheral vascular disease (10.34% vs 4.06%; p<0.001) and acute myocardial infarction (6.37% vs 3.09%; p<0.001); however, they had lower prevalence of obesity, hypertension, lipid metabolism disorders, atrial fibrillation, congestive heart failure, anemia and depression. Also, men had a higher prevalence of alcohol abuse than women (12.45% vs 2.31%; p<0.001).

Table 4

Clinical Characteristics, Use of Therapeutic Procedures and Hospital Outcomes Before and After Matching by Age (ICD 10) Among Men and Women Suffering COPD Hospitalized with Ischemic Stroke

Variables	Before Matching			After Matching
	COPD Men	COPD Women	p-value	COPD Men	COPD Women	p-value
35–49 years, n(%)	129(1.28)	120(2.48)	0.225	72(1.55)	72(1.55)	NA
50–64 years, n(%)	1461(14.46)	538(11.1)	<0.001	531(11.46)	531(11.46)	NA
65–79 years, n(%)	4388(43.44)	1524(31.44)	<0.001	1519(32.79)	1519(32.79)	NA
≥80 years, n(%)	4123(40.82)	2666(54.99)	<0.001	2511(54.2)	2511(54.2)	NA
Age, mean (SD)	75.58(10.41)	78.06(11.53)	<0.001	77.94(10.82)	77.94(10.82)	NA
CCI, mean (SD)	2.19(1.05)	2.09(0.99)	<0.001	2.22(1.06)	2.09(0.99)	<0.001
Obesity, n(%)	812(8.04)	638(13.16)	<0.001	328(7.08)	615(13.27)	<0.001
Hypertension, n(%)	5553(54.97)	2711(55.92)	0.277	2466(53.23)	2613(56.4)	0.002
Lipid metabolism disorders, n(%)	4368(43.24)	2221(45.81)	0.003	1894(40.88)	2149(46.38)	<0.001
Type 2 diabetes mellitus, n(%)	3399(33.65)	1458(30.07)	<0.001	1514(32.68)	1414(30.52)	0.025
Renal disease, n(%)	1408(13.94)	694(14.32)	0.536	737(15.91)	650(14.03)	0.011
Atrial fibrillation, n(%)	2955(29.25)	1860(38.37)	<0.001	1580(34.1)	1774(38.29)	<0.001
Congestive heart failure, n(%)	1047(10.37)	672(13.86)	<0.001	506(10.92)	630(13.6)	<0.001
Peripheral vascular disease, n(%)	1135(11.24)	192(3.96)	<0.001	479(10.34)	188(4.06)	<0.001
Acute myocardial infarction, n(%)	632(6.26)	155(3.2)	<0.001	295(6.37)	143(3.09)	<0.001
Dementia, n(%)	397(3.93)	280(5.78)	<0.001	233(5.03)	264(5.7)	0.153
Anemia, n(%)	421(4.17)	286(5.9)	<0.001	212(4.58)	260(5.61)	0.023
Alcohol abuse, n(%)	1442(14.28)	110(2.27)	<0.001	577(12.45)	107(2.31)	<0.001
Depression, n(%)	402(3.98)	545(11.24)	<0.001	191(4.12)	529(11.42)	<0.001
Mechanical ventilation, n(%)	322(3.19)	161(3.32)	0.666	116(2.50)	154(3.32)	0.019
Endovascular thrombectomy, n(%)	424(4.2)	215(4.43)	0.502	190(4.10)	205(4.42)	0.440
Thrombolytic therapy, n(%)	619(6.13)	299(6.17)	0.925	291(6.28)	289(6.24)	0.932
LOHS, median (IQR)	7(8)	7(8)	0.319	7(8)	7(8)	0.640
In-hospital mortality, n(%)	1159(11.47)	683(14.09)	<0.001	572(12.35)	643(13.90)	0.029

Abbreviations: IS, ischemic stroke; COPD, chronic obstructive pulmonary disease; CCI, Charlson Comorbidity Index; LOHS, length of hospital stay.

Use of mechanical ventilation was higher in COPD women than men (3.32% vs 2.5%; p=0.019). Endovascular thrombectomy and thrombolytic therapy showed no significant difference between men and women. IHM rate was 13.9% for COPD women and 12.35% for matched COPD men (p=0.029).

Multivariable Analysis of Variables Associated with IHM Among Men and Women with COPD

The results of the multivariable logistic regression analysis among COPD patients with ischemic stroke are shown in Table 5.

Table 5

Multivariable Logistic Regression Analysis of Factors Associated with in Hospital Mortality Among Men and Women Suffering COPD Hospitalized with Ischemic Stroke

	Men with COPD	Women with COPD	Both Sex with COPD
35–49 years	1	1	1
50–64 years	0.96(0.43–2.17)	2.33(0.64–8.45)	1.37(0.69–2.72)
65–79 years	1.66(0.76–3.63)	4.67(1.35–16.16)	2.46(1.27–4.74)
≥80 years	3.72(1.7–8.15)	11.33(3.28–39.08)	5.62(2.91–10.86)
Obesity	0.71(0.54–0.95)	0.61(0.45–0.84)	0.66(0.53–0.82)
Renal disease	1.18(0.98–1.42)	1.42(1.12–1.8)	1.26(1.09–1.45)
Atrial fibrillation	1.61(1.4–1.84)	1.47(1.23–1.76)	1.55(1.4–1.73)
Congestive heart failure	1.77(1.48–2.12)	1.78(1.43–2.21)	1.78(1.56–2.05)
Acute myocardial infarction	1.4(1.1–1.78)	1.77(1.16–2.7)	1.49(1.21–1.83)
Dementia	1.33(1–1.76)	1.94(1.45–2.6)	1.58(1.29–1.93)
Mechanical ventilation	10.81(8.29–14.09)	13.73(9.25–20.39)	11.57(9.29–14.4)
Women	NA	NA	1.15(1.03–1.28)

Notes: Only variables with significant results in the multivariable regression are shown in the table Analysis were conducted using unmatched populations.

Abbreviations: COPD, chronic obstructive pulmonary disease; NA, not available.

For men and women, the risk of dying in the hospital increased with age, atrial fibrillation, congestive heart failure, acute myocardial infarction, dementia and the need of mechanical ventilation during the hospitalization. In women, renal disease is also a risk factor of dying in the hospital (OR 1.42; 95% CI 1.12–1.8). Obesity reduced the IHM in both sexes.

The sensitivity analysis confirmed the result obtained in the pair matched analysis as we found that, after logistic multivariable regression using the unmatched population (Table 5), women with COPD had a significantly higher risk of dying during the hospitalization than men with COPD (OR 1.15; 95% CI 1.03–1.28).

Finally, using the entire database including all men and women with ischemic stroke and after multivariable adjustment (), COPD increasing the risk of dying during the hospitalization in both men (OR 1.16; 95% CI 1.06–1.28) and women (OR 1.12; 95% CI: 1.01–1.27), therefore ratifying the results of the matched analysis.

Discussion

In this large population-based study, we found that COPD patients had an increased incidence of ischemic stroke and a higher IHM than non-COPD population. By sex, we observed the incidence of ischemic stroke was higher in COPD men than in non-COPD men; COPD men had twice higher incidence of ischemic stroke than COPD women; being women increased the risk of dying during the hospitalization with ischemic stroke.

In the current study, we found a prevalence of COPD among ischemic stroke patients of 8.67%, slightly lower than the 12.16% reported by Lekoubou et al using the National Inpatient Sample, a national representative dataset of US hospital admissions.21 However, in a nationwide population-based cohort of Swedish residents, a lower prevalence was provided, of only 3.27%.22 The different design of the studies, especially the latter, which was population-based, could justify the results obtained.

We also found that the incidence of ischemic stroke was slightly but significantly higher in COPD patients than in those without COPD. The increase of ischemic stroke risk in people with COPD found in this study is consistent with previous findings.10 Although the reasons for the associations remain unclear, it has been suggested that systemic inflammation and high levels of cholesterol could be of importance for ischemic stroke development.23,24

Additionally, our analysis showed, for the first time, that the higher incidence of ischemic stroke in COPD patients was only significant for men. The smaller sample size of women with COPD in our study might justify these results.

To our knowledge, the incidence of ischemic stroke in COPD according to sex has not been previously reported. Our analysis also reported that men with COPD had twice higher adjusted incidence of ischemic stroke than COPD women. Among men without COPD, the adjusted incidence was also higher than in non-COPD women but with a lower IRR (1.51; 95% CI 1.49–1.53) suggesting that the negative effect of being a women is stronger among those who also suffer COPD.

We showed that COPD men received thrombolytic therapy less frequently than non-COPD men. Although the factors related to this fact have not been adequately clarified, a potential explanation is that physicians could consider COPD patients as high risk for complications due they are deemed to be older and with higher frailty.21 However, no differences were found in our study in the use of such therapy in COPD women compared to non-COPD women. On the other hand, the use of mechanical ventilation was higher in men and women with COPD than in those without this disease.

The association between COPD status and mortality in ischemic stroke patients has not been extensively studied.21 Our study confirmed that IHM was significantly higher in COPD men and women than in those without COPD. Similar results have been described by other authors.25 Several factors may explain the increased mortality risk among patients with COPD. They include comorbid conditions that can be associated with increased mortality,26 increased risk of dysphagia, that may predispose to the development of aspiration pneumonia in these patients,27 gas exchange disturbances (hypoxemia and hypercapnia) and inflammation and oxidative stress during exacerbations.2,28

When we compared matched men and women with COPD, the IHM rate was higher for COPD women compared with COPD men. However, to our knowledge, no clinical study has been conducted so far with the aim of assessing sex-differences in stroke outcomes among COPD patients. However, epidemiological studies in the general population have shown that both ischemic stroke risk and outcome following stroke are sexually dimorphic.29–35

Women have been reported to have an overall lower ischemic stroke incidence rate than men in studies conducted in Spain and elsewhere, even if the incidences depend on age.29,31,35 On the other hand, several, but not all, investigations have found higher mortality among women.13,29–35

From a pathophysiological point of view, the reasons underlying such sex differences are complicated and probably occur as a consequence (or combination) of biological factors, like genetic predisposition, sex hormones and neuro-humoral pathways, as well as psychosocial, behavioural, and environmental factors.31–34

There is evidence for sex differences in ischemic sensitivity and cellular death pathways.31–34 Experimental studies point that women are more susceptible to neuronal cell death induced by activation of cytochrome-c and caspases, enzymes that play key roles in programmed cell death and inflammation.31 Another theory for biological differences includes chromosomal influences. In a study of aged mice with depleted or depleting oestrogen, those with two X chromosome had larger infarcts, higher neurologic deficits and greater immune-cell infiltration and activation compared to those with an X chromosome and a Y chromosome.31

Sex hormone studies have reported that lower oestrogen levels in postmenopausal women reduce the anti-inflammatory and neuroprotective effects of the hormone. Explanations for the protective effect of oestrogen include dilation of blood vessels and improvement of blood flow, as well as induction of anti-inflammatory factors.31–34 It is well established that oestrogens inhibit the development of atherosclerotic plaques due to their effects on smooth muscle, adhesion molecules and differentiation of monocytes. Consequently, higher circulating levels of oestrogens may protect females from the development of thrombotic strokes in younger ages explaining their lower incidence.31 Sex differences in coagulation and fibrinolysis, rate of progression of atherosclerosis and endothelial function in have also been associated with different outcomes after stroke.32

Previous investigations have suggested that differences in the baseline concomitant chronic conditions and cardiovascular risk factors prevalence and control can act as confounders in the sex-differences for mortality after stroke.32–34,36 Among these baseline conditions, atrial fibrillation has a special relevance.37,38 In a meta-analysis involving over four million patients, atrial fibrillation was associated with a higher risk for stroke, as well as all-cause mortality cardiac events and cardiovascular mortality, in women than men.37 Atrial fibrillation is associated to 45% of all cardioembolic-subtype strokes.30 Cardioembolic strokes have been linked to more severe strokes, higher mortality, and poorer functional outcomes.30,33,37,38

In our investigation atrial fibrillation prevalence was significantly higher among COPD women than COPD men before (38.37% vs 29.25%; p<0.001) and after PSM (38.29% vs 34.1%; p<0.001). The increased prevalence of atrial fibrillation, and consequently cardioembolic strokes in COPD women, may contribute to sex differences in mortality after ischemic stroke in our investigation.30,33,37,38 In Spain, Purroy et al after analysing registry data of 13,932 consecutive ischemic stroke patients from 19 Spanish hospitals confirmed that women suffered more cardioembolic strokes (43.3%) than men (30.2%) and had a higher IHM.35

It has been reported that nonconventional stroke symptoms are more prevalent in women than men.33,34 Furthermore, these non-traditional symptoms of stroke may lead to a delay in recognition and treatment of stroke resulting in higher mortality.33,34

Finally, worse outcomes among women may result from worse access to adequate therapies or diagnostic procedures when compared with men.34 Further investigations in this topic are necessary.

Our analysis showed that mortality risk factors in COPD men and women with ischemic stroke were similar to those that has been reported in other analyses.39,40 However, this is the first publication of in-hospital stroke mortality in COPD patients according to sex and could form the basis for future research including development of risk scores and identifying modifiable risk factors.

On the other hand, our study results support the obesity paradox among men and women suffering COPD hospitalized with ischemic stroke. These findings are consistent with other studies, which have shown that patients with higher BMI have lower mortality after stroke.41–43 Although the underlying reasons for this protective effect are poorly understood, one possible explanation could be hypoxic preconditioning.42

The current study has some limitations. First, this was a retrospective analysis of an administrative database; hence, a relatively small percentage of missing data or miscoded diagnoses is possible. Second, data on stroke severity, airflow obstruction degree, biomarkers, or medication, were not available for our analysis. Third, in this inpatient sample, we were unable to capture stroke deaths outside the hospital. Despite the limitations mentioned, the major strength of our study was the size of the database that included a large nationally representative sample of hospitalized patients, therefore increasing the generalizability of our findings.

Conclusion

In conclusion, this study revealed that incidence of ischemic stroke was higher in COPD patients than in those without COPD, although the difference was only significant for men. On the other hand, COPD men had twice higher incidence for ischemic stroke than COPD women. Finally, COPD was associated with an increased risk of IHM in both men and women with ischemic stroke and women with COPD had higher IHM than men with this condition. Our findings suggest that additional efforts are warranted in the protection of patients with COPD to reduce their medical burden and mortality. Prospective studies are required to further clarify this relationship between COPD, sex and ischemic stroke.