Literature DB >> 35765586

In-hospital Outcomes and Arrhythmia Burden in Patients with Obstructive Sleep Apnea and Heart Failure with Preserved Ejection Fraction.

Jashan Gill1,2, Chunyi Wu3.   

Abstract

Patients with obstructive sleep apnea (OSA) have an increased risk for arrhythmias compared to patients without OSA. However, data quantifying the risk of inpatient complications in patients with heart failure with preserved ejection fraction (HFpEF) are lacking. We sought to compare inpatient outcomes and the occurrence of arrhythmias in patients with HFpEF with and without OSA, respectively. Furthermore, we compared the prevalence of arrhythmias with nocturnal continuous positive airway pressure (CPAP) therapy. We performed a retrospective study using the National Inpatient Sample from 2016-2018 to identify patients with HFpEF with and without OSA. Propensity score matching, adjusting for age, gender, race, hospital characteristics, income, and comorbidities, was used to select matched samples between both groups. From 2016-2018, 127,773 hospitalizations with HFpEF were identified; among these patients, 20% had OSA. Nocturnal CPAP was utilized in 9% of these patients. Patients with OSA had a higher mortality rate, a longer duration of hospitalization, and greater medical costs. In addition, OSA was associated with higher incidence rates of atrial fibrillation, atrial flutter, premature depolarization, sick sinus syndrome, ventricular tachycardia, and atrioventricular block. Nocturnal CPAP was not associated with a lower arrhythmia incidence; however, there was a non-significant trend toward a lower cardiac arrest incidence. In conclusion, OSA in patients with HFpEF was associated with greater mortality, longer hospitalization stays, and higher medical costs relative to findings in patients without OSA. Furthermore, OSA was associated with tachyarrhythmias and bradyarrhythmias in HFpEF patients. Nocturnal CPAP was only utilized in 9% of patients, with no difference in arrhythmogenesis. Copyright:
© 2022 Innovations in Cardiac Rhythm Management.

Entities:  

Keywords:  Atrial fibrillation; diastolic heart failure; heart block; sick sinus syndrome; sleep-disordered breathing

Year:  2022        PMID: 35765586      PMCID: PMC9221201          DOI: 10.19102/icrm.2022.130602

Source DB:  PubMed          Journal:  J Innov Card Rhythm Manag        ISSN: 2156-3977


Introduction

Heart failure with preserved ejection fraction (HFpEF) represents approximately half of all heart failure diagnoses worldwide, and its prevalence is increasing annually.[1,2] Moreover, it is estimated that approximately 30% of men and 15% of women meet the diagnostic criteria for obstructive sleep apnea (OSA) in North America.[3,4] Heart failure and OSA have considerable overlap as observational studies have shown that OSA is present in roughly 50% of HFpEF patients.[5] OSA is characterized by recurrent intermittent upper-airway obstructive events, leading to hypoxemia, hypercapnia, and autonomic dysregulation.[6] OSA has been associated with sudden cardiac death[7,8] and a broad spectrum of cardiac rhythm disorders, with the most evidence being available for atrial fibrillation.[9,10] However, the prevalence of arrhythmias in HFpEF patients with OSA has not been definitively established.[11-15] Furthermore, studies have demonstrated a reduced atrial fibrillation burden with continuous positive airway pressure (CPAP) therapy.[16-18] The data regarding CPAP therapy with other arrhythmias are preliminary but point toward reduced incidence rates of bradyarrhythmia,[11] ventricular ectopy,[19] and sudden cardiac death.[20] However, there is a paucity of data from heart failure patients. The purpose of this study was to compare the prevalence of cardiac arrhythmias in HFpEF patients with and without OSA, utilizing the National Inpatient Sample (NIS) database from 2016–2018. In addition, we sought to compare in-hospital mortality rates, the length of hospitalization, and medical costs of hospitalization among these patients. Finally, we examined the utilization of inpatient nocturnal CPAP in patients with OSA to assess whether the incidence of arrhythmias was decreased in these patients compared to patients who did not receive nocturnal CPAP.

Methods

Data source

The data for this study were drawn from the NIS database, the Healthcare Cost and Utilization Project, and the Agency for Healthcare Research and Quality (AHRQ).[21] The NIS is the largest collection of all-payer data on inpatient hospitalizations in the United States. The dataset represents an approximated 20% stratified sample of all inpatient discharges from U.S. hospitals. The database provides de-identified information for each hospitalization. This information includes patient-level and hospital-level factors, such as patient demographic characteristics, primary and secondary diagnoses and procedures, AHRQ comorbidities, length of stay, hospital characteristics, and costs of hospitalization. National estimates can be calculated using the patient-level and hospital-level sampling weights that the NIS provides. For this study, data were obtained from the years 2016–2018.

Study population and variables

The International Classification of Diseases, 10th revision (ICD-10), was used to report diagnoses and procedures in the NIS database. We identified patients hospitalized with HFpEF (ICD-10–Clinical Modification [CM] codes I530, I5031, I5032 and I5033) and OSA (ICD-10-CM code G4733). We excluded patients aged <18 years, those with a body mass index (BMI) of <29.9 kg/m2, and those with a pacemaker or an implantable cardioverter-defibrillator. Of the patients with HFpEF and OSA, patients who utilized nocturnal CPAP (ICD-10 Procedure Coding System code 5A09357) were also identified. In order to mitigate selection bias and control for patient and institutional imbalances, propensity scoring was used to select matched samples of HFpEF patients with OSA and those without OSA. The scoring was based on a multivariate logistic regression model, accounting for age, gender, race, hospital type, hospital region, hospital teaching status, median household income, and medical comorbidities (cerebrovascular disease, chronic kidney disease, chronic obstructive pulmonary disease, coronary artery disease, diabetes, hypertension, obesity, peripheral vascular disease, smoking, and valvular heart disease). Using 8- to 1-digit matching, we paired each diastolic heart failure admission with OSA with an admission without OSA.

Study outcomes

The primary analysis of this study was a comparison of in-hospital mortality, length of hospitalization, and medical cost of hospitalization between HFpEF patients with OSA and those without OSA. The secondary analysis compared the prevalence of arrhythmias, including atrial fibrillation, atrial flutter, atrioventricular block, cardiac arrest, premature depolarization (atrial, ventricular, and junctional), sick sinus syndrome, supraventricular tachycardia (SVT), ventricular tachycardia, and ventricular fibrillation, in these patients. A subgroup analysis was also conducted in patients with HFpEF and OSA, comparing the incidence of these arrhythmias in those with and without inpatient nocturnal CPAP.

Statistical analyses

All statistical analysis was performed using SAS Survey Procedures (SAS version 9.4; SAS Institute Inc., Cary, NC, USA). Statistical significance was defined by a 2-sided test with P < .05. The national estimates were calculated after accounting for the sample design elements (clusters, strata, and trend weights) provided by the NIS.[21] Continuous variables were reported as weighted mean ± standard deviation (SD) values, and categorical variables were reported as weighted numbers (n) and percentages (%). The SDs of weighted means were estimated using the Taylor linearization method that incorporated the sample design. The Rao–Scott-modified chi-squared test was used to test the distribution difference for categorical variables, while a weighted Student’s t-test was used to analyze the normally distributed continuous variables. Variables that were not normally distributed were tested using the Wilcoxon rank-sum test. Multivariate logistic regression was used to estimate the odds ratio of in-hospital mortality and several outcomes after adjusting for patient demographics, hospital type, hospital region, hospital teaching status, median household income, and medical comorbidities.

Results

Population characteristics and comorbidities

The design of this study is presented in the flowchart in . From 2016–2018, we identified a total of 127,773 unweighted hospitalizations with HFpEF; of these patients, 25,529 (20%) also had OSA. After applying propensity scores, nocturnal CPAP was utilized in 2,250 (9%) of these patients. Demographic and baseline characteristics of these patients before and after applying propensity matching are presented in . The mean age of the patients with HFpEF and OSA was 70 years, while that of those without OSA was 76 years. Of the patients with HFpEF, OSA was seen at similar rates in men (50%) and women (50%); however, in patients without OSA, there was a predominance of women (62%) with OSA. The racial distribution in patients with HFpEF and OSA was 73% Caucasian, 17% African American, 6.3% Hispanic, 1.1% Asian, 0.4% Native American, and 1.7% unspecified. The majority of patients were equally distributed in both groups; however, there was a trend toward an increased number of African Americans among patients with OSA. In patients with HFpEF and OSA, there were increased rates of chronic kidney disease, chronic obstructive pulmonary disease, coronary artery disease, diabetes, and obesity. Patients without OSA had a higher frequency of cerebrovascular disease, peripheral vascular disease, and valvular heart disease. Both groups had a similar prevalence of hypertension and smoking.

In-hospital mortality and outcomes

The multivariate logistic regression analysis results comparing outcomes in patients with HFpEF with and without OSA are presented in . The results of the primary analysis indicated that patients with OSA had increased mortality (odds ratio [OR], 1.33; 95% confidence interval [CI], 1.28–1.37; P < .001), longer length of hospitalization (5.6 vs. 5.3 days; P < .001), and increased medical costs of hospitalization ($61,844 vs. $56,182; P < .001) compared to patients without OSA. The secondary analysis was a comparison of the prevalence of arrhythmias in both groups. Patients with HFpEF and OSA had a higher prevalence of atrial fibrillation (OR, 1.29; 95% CI, 1.27–1.31; P < .001), atrial flutter (OR, 1.13; 95% CI, 1.09–1.17; P < .001), premature depolarization (OR, 1.08; 95% CI, 1.01–1.15; P < .02), sick sinus syndrome (OR, 1.2; 95% CI, 1.12–1.29; P < .001), SVT (OR, 1.07; 95% CI, 1.02–1.13; P < .02), ventricular tachycardia (OR, 1.19; 95% CI, 1.13–1.24; P < .001), first-degree atrioventricular block (OR, 1.17; 95% CI, 1.09–1.25; P < .002), and third-degree atrioventricular block (OR, 1.16; 95% CI, 1.01–1.33; P < .03). We also performed a subgroup analysis, comparing the occurrence of arrhythmias with the utilization of inpatient nocturnal CPAP in patients with HFpEF and OSA. The results of this analysis are presented in . Our analysis showed that nocturnal CPAP is not associated with a change in arrhythmia prevalence in the inpatient setting. However, there was a non-significant trend toward a decreased likelihood of cardiac arrest in patients who utilized nocturnal CPAP (0.7% vs. 1.3%; P = .06).

Discussion

This propensity-matched, retrospective study drew data from the 2016–2018 NIS, the largest all-payer inpatient database in the U.S., to compare adverse clinical outcomes in HFpEF patients with and without OSA. The principal findings of this study were as follows: (1) OSA was associated with increased in-hospital mortality, a longer duration of hospitalization, and increased medical costs of hospitalization; (2) OSA was associated with an increased prevalence of atrial fibrillation, atrial flutter, premature depolarization, sick sinus syndrome, SVT, ventricular tachycardia, first-degree atrioventricular block, and third-degree atrioventricular block; and (3) the utilization of inpatient nocturnal CPAP was not associated with a reduced prevalence of arrhythmia. This study demonstrated that 20% of patients with HFpEF had OSA, consistent with previous reports showing an average prevalence of 23% in men and women in the general population.[3,4] However, these results were considerably lower than those reported in smaller observational studies, as OSA has been seen in up to 50% of heart failure patients.[22-24] In agreement with previous reports, OSA was more common in men, those with increased BMI, and those with multiple cardiovascular comorbidities.[22,23,25-27] Furthermore, previous studies assessing chronic heart failure patients with long-term follow-up have shown OSA to be associated with increased mortality.[28,29] Moreover, a similar study to the present one utilizing the NIS identified pulmonary hypertension as a strong independent predictor of in-hospital mortality; although OSA was not specifically assessed,[30] there is considerable overlap in these patient populations.[31,32] Several pathophysiological mechanisms contribute to the increased mortality and arrhythmogenesis in heart failure patients with OSA. Periods of intermittent hypoxia in OSA result in oxidative stress to cardiac tissues, resulting in impaired energy metabolism and the generation of pro-inflammatory cytokines and reactive oxygen species (ROS).[33] Furthermore, OSA results in tissue remodeling, inflammation, and autonomic imbalance.[34] Heart failure in itself is an independent enhancer of ROS production,[35] tissue remodeling,[36] inflammation,[37] and autonomic imbalance,[38] thereby increasing the propensity for arrhythmogenesis in OSA patients. Autonomic imbalances in OSA are caused by negative thoracic pressure during periods of hypopnea, resulting in alternations in baroreceptor and chemoreceptor reflexes.[39] These derangements can favor either profound vagal activity, leading to bradyarrhythmia, or sympathetic activation favoring tachyarrhythmias.[40] This cascade deranges cardiomyocyte ion exchange through action on sodium channels, potassium channels, and gap junction proteins, generating inappropriate action potentials and triggering arrhythmia.[41-43] Our study found that atrial fibrillation was present in 49% of the patients with HFpEF and OSA, with statistically significant increased odds compared to patients without OSA. While not as common as atrial fibrillation, other tachyarrhythmias, such as atrial flutter, premature depolarization, SVT, and ventricular tachycardia were also more common in patients with OSA. Although not specifically considering HFpEF patients, studies of OSA patients have reported an increased likelihood of tachyarrhythmias.[14,44,45] Furthermore, OSA is a predictor of the incidence of atrial fibrillation[46] and its recurrence after cardioversion.[16] There is a paucity of data regarding atrial flutter. Studies have reported a higher prevalence of atrial flutter in patients with central sleep apnea and Cheyne–Stokes breathing but not so with OSA.[14,47] Our study also found a higher prevalence of bradyarrhythmias with OSA in HFpEF patients, including sick sinus syndrome, first-degree atrioventricular block, and third-degree atrioventricular block. While not studied in HFpEF patients, studies have commonly documented long pauses with sinus arrest or complete heart block occurring in OSA patients during sleep.[11,13,48] Interestingly, in 80% of OSA patients with atrioventricular block, sinus node function was normal on electrophysiologic study and reversible with atropine, suggesting normal conduction anatomy in these patients.[49] Moreover, OSA is 10 times more prevalent in sick sinus syndrome patients compared to the general population.[50] A subgroup analysis in patients with HFpEF and OSA identified that only 9% of patients had inpatient nocturnal CPAP utilized. We also found that CPAP was not associated with a difference in cardiac conduction disorders; however, there was a non-significant trend toward a decrease in cardiac arrest. Multiple studies have demonstrated the benefits of CPAP in OSA patients in reducing tachyarrhythmias[51,52] and bradyarrhythmias.[11,48,53] In addition, CPAP therapy has been shown to improve heart rate variability and baroreflex sensitivity in heart failure patients, thus enhancing vagal modulation and autonomic nervous system regulation.[54,55] However, there is a paucity of studies assessing the prevalence of arrhythmia in heart failure patients treated with CPAP. One study reported a 59% decrease in the frequency of premature ventricular depolarization.[19] We hypothesize that no benefit was found with arrhythmia prevalence in our patients because the benefits of CPAP are typically seen with long-term compliance rather than in the short term. However, the trend toward decreased cardiac arrest with CPAP is promising and may signal the potential for short-term benefits of inpatient therapy. The limitations of this study include the inherent deficiencies of national registry analyses; the NIS is an administrative database susceptible to documentation errors, coding errors, and misdiagnoses. Discharge-level coding relies on individual institutions; therefore, results may not be consistent across various centers. There was likely a degree of misclassification as some patients may have had undiagnosed OSA and were potentially allocated to the incorrect group. In addition, the pathogenesis of bradyarrhythmia with OSA involves vagotonia; therefore, it was anticipated that OSA treatment with CPAP would reduce vagotonia, thus decreasing the arrhythmia risk. However, no difference was detected, indicating a high likelihood for miscategorized OSA status in the NIS database. In addition, our results were likely subject to confounding factors indiscernible by the NIS database, such as New York Heart Association (NYHA) functional classification, grade of diastolic dysfunction, and OSA severity. Specifically, in patients with HFpEF, the diastolic dysfunction grade correlates with increased apnea–hypopnea index, conferring a worse disease burden.[56] Furthermore, although not assessed in patients with OSA, worsening NYHA functional class has been established as a cause of increased mortality in heart failure patients.[57,58] Therefore, future prospective studies should categorize patients based on disease severity. Moreover, the NIS cannot capture readmissions; accordingly, there is likely a degree of duplicated data as patients with heart failure have an estimated 30% readmission rate within 90 days.[59]

Conclusion

The present study demonstrated that OSA in HFpEF patients was associated with increased in-hospital mortality, length of hospitalization, and increased medical costs compared to those without OSA. Furthermore, this analysis showed that OSA in HFpEF patients was associated with an increased likelihood of atrial fibrillation, atrial flutter, premature depolarization, sick sinus syndrome, SVT, ventricular tachycardia, and atrioventricular block. These results were consistent with previous reports in OSA patients without heart failure; however, future studies of heart failure patients with reduced and preserved ejection fraction, respectively, are needed. Furthermore, the use of nocturnal CPAP in these patients was not associated with decreased arrhythmias, although it was only utilized in 9% of patients. However, we found a non-significant trend toward decreased cardiac arrest in patients treated with CPAP, implying a possible benefit of inpatient CPAP.
Table 1:

Baseline Characteristics for Patients in the Unmatched and Matched Cohorts

Unmatched Cohort
Matched Cohort
HFpEF with OSAHFpEF Without OSAHFpEF with OSAHFpEF Without OSA
n (unweighted)25,529102,24424,31824,318
n (weighted)127,645511,220121,590121,590
Mean (SD) Mean (SD) P Value Mean (SD) Mean (SD) P Value
Age, years69.8 (0.1)75.8 (0.1)<.00169.9 (0.1)69.7 (0.1).102
Weighted n (%)Weighted n (%)Weighted n (%)Weighted n (%)
Gender
 Male63,290 (50)193,145 (38)<.00159,435 (49)58,670 (48).17
 Female64,355 (50)318,075 (62)62,155 (51)62,920 (52)
Race
 Caucasian91,765 (73)368,645 (73)<.00189,145 (73)89,650 (73).59
 African American21,310 (17)68,640 (14)20,710 (17)20,745 (17)
 Hispanic7,910 (6)39,845 (8)7,750 (6)7,485 (6)
 Asian1,425 (1)11,655 (2)1,405 (1)1,225 (1)
 Native American520 (0.4)2,260 (0.4)505 (0.4)530 (0.4)
 Other2,100 (2)11,860 (2)2,075 (1.7)1,955 (1.6)
Hospital teaching status
 Rural1,225 (10)55,170 (11)<.00111,420 (9)112 (9).17
 Urban non-teaching25,835 (20)114,915 (23)24,915 (20)23,860 (20)
 Urban teaching89,560 (70)341,145 (67)85,255 (70)86,455 (71)
Hospital bed size
 Small25,655 (20)112,220 (22)<.00124,585 (20)24,085 (20).40
 Medium39,365 (31)160,755 (31)37,730 (31)37,215 (31)
 Large62,630 (49)238,255 (47)59,275 (49)60,290 (50)
Median income
 $1–$45,99937,065 (29)143,395 (29).00536,110 (30)35,770 (30).91
 $46,000–$58,99934,640 (28)137,170 (27)33,130 (27)33,200 (27)
 $59,000–$78,99930,360 (24)120,750 (24)29,185 (24)29,170 (24)
 $79,000+23,800 (19)102,295 (20)23,165 (19)23,450 (19)
Comorbidities (%)
 Cerebrovascular disease3,015 (2)15,880 (3)<.0012,880 (2)2,720 (2).36
 Chronic kidney disease63,970 (50)233,240 (46)<.00160,890 (50)60,590 (50).59
 Chronic obstructive pulmonary disease56,215 (44)162,555 (32)<.00152,940 (43)52,300 (43).27
 Coronary artery disease59,880 (47)219,230 (43)<.00156,775 (47)56,545 (47).69
 Diabetes76,240 (60)221,935 (43)<.00172,215 (59)72,445 (60).67
 Hypertension79,490 (62)319,080 (62).7075,735 (62)76,675 (63).09
 Obesity73,895 (58)11,355 (22)<.00169,700 (57)69,125 (57).32
 Peripheral vascular disease12,270 (10)55,900 (11)<.00111,690 (10)11,240 (9).17
 Smoking13,535 (11)52,775 (10).2213,005 (11)12,705 (10).39
 Valvular heart disease28,050 (22)135,805 (27)<.00126,850 (22)25,880 (21).04

Abbreviations: HFpEF, heart failure with preserved ejection fraction; OSA, obstructive sleep apnea; SD, standard deviation.

Table 2:

In-hospital Outcomes in the Matched and Unmatched Cohorts

Unmatched Cohort
Matched Cohort
HFpEF with OSAHFpEF Without OSAHFpEF with OSAHFpEF Without OSA
Mean (SD)Mean (SD)P ValueMean (SD)Mean (SD)P Value
Length of hospitalization, days5.26 (0.02)5.31 (.04)0.002*5.6 (0.04)5.3 (0.04)<0.001*
Medical cost of hospitalization$56,556 (838)$56,220 (855)<0.001*$61,844 (982)$56,182 (865)<0.001*
Weighted n (%) Weighted n (%) P Value Weighted n (%) Weighted n (%) Odds Ratio (95% CI); P Value)
In-hospital mortality10,775 (2.1)1,510 (1.2)<0.001*2,095 (1.7)1,405 (1.2)1.33 (1.28–1.37); <0.001*
Atrial fibrillation62,760 (49.2)248,625 (48.6)0.16160,120 (49.4)52,485 (43.2)1.29 (1.27–1.31); <0.001*
Atrial flutter6,715 (5.3)22,215 (4.3)<0.001*6,425 (5.3)5,735 (4.7)1.13 (1.09–1.17); <0.001*
Cardiac arrest1,060 (0.8)3,980 (.8)0.423990 (0.8)1,020 (0.8)0.97 (0.89–1.06); 0.502
Premature depolarization2,000 (1.6)7,390 (1.4)0.1521,910 (1.6)1,770 (1.5)1.08 (1.01–1.15); 0.02*
Sick sinus syndrome1,770 (1.4)7,810 (1.5)0.0881,715 (1.4)1,435 (1.2)1.2 (1.12–1.29); <0.001*
Supraventricular tachycardia10,070 (2.0)2,340 (1.8)0.1352,420 (2.0)2,265 (1.9)1.07 (1.02–1.13); 0.022*
Ventricular tachycardia1,650 (1.3)7,610 (1.5)0.016*1,910 (1.6)1,545 (1.3)1.19 (1.13–1.24); <0.001*
Ventricular fibrillation180 (0.1)710 (.1)0.935205 (0.2)170 (0.1)1.17 (1.02–1.36); 0.071
First-degree AV block1,795 (1.4)6,405 (1.3)0.0561,690 (1.4)1,580 (1.3)1.17 (1.09–1.25); 0.002*
Second-degree AV block655 (0.5)2,250 (.4)0.136600 (0.5)590 (0.5)1.02 (0.91–1.14); 0.771
Third-degree AV block460 (0.4)2,135 (.4)0.170435 (0.4)375 (0.3)1.16 (1.01–1.33); 0.03*

Abbreviations: AV, atrioventricular; CI, confidence interval; HFpEF, heart failure with preserved ejection fraction; OSA, obstructive sleep apnea; SD, standard deviation. *Statistically significant.

Table 3:

In-hospital Outcomes in Patients with and Without Nocturnal Continuous Positive Airway Pressure

Unmatched Cohort
Matched Cohort
HFpEF with OSA on Nocturnal CPAPHFpEF with OSA Without Nocturnal CPAPHFpEF with OSA on Nocturnal CPAPHFpEF with OSA Without Nocturnal CPAP
n (unweighted)2,25022,0682,2502,250
n (weighted)11,250110,34011,25011,250
Weighted n (%) Weighted n (%) P Value Weighted n (%) Weighted n (%) P Value
Atrial fibrillation2,155 (19.2)22,440 (20.3).1852,155 (19.2)2,135 (19).879
Atrial flutter670 (6)5,755 (5.2).204670 (6)570 (5.1).236
Cardiac arrest150 (1.3)840 (0.8).02479 (0.7)150 (1.3).063
Premature depolarization225 (2)1,685 (1.5).136225 (2)150 (1.3).090
Supraventricular tachycardia245 (2.2)2,020 (1.8).274245 (2.2)230 (2).751
Ventricular tachycardia160 (1.4)1,385 (1.3).514160 (1.4)135 (1.2).412
Ventricular fibrillation25 (0.2)145 (0.1).37125 (0.2)0 (0)NA
First-degree AV block195 (1.7)1,495 (1.4).224195 (1.7)185 (1.6).824
Second-degree AV block60 (0.5)540 (0.5).79960 (0.5)35 (0.3).273
Third-degree AV block30 (0.3)405 (0.4).37930 (0.3)60 (0.5).176

Abbreviations: AV, atrioventricular; CI, confidence interval; HFpEF, heart failure with preserved ejection fraction; NA, not available; OSA, obstructive sleep apnea; SD, standard deviation.

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