Predictors of Long-Term Mortality in Medically Treated Patients With Chronic Heart Failure in Kosovo

Gani Bajraktari , Shpend Elezi , Pranvera Ibrahimi , Genc Abdyli , Artan Bajraktari , Arlind Batalli , Afrim Poniku , Frank L. Dini , Michael Y. Henein

Reviews in Cardiovascular Medicine ›› 2025, Vol. 26 ›› Issue (7) : 38127

PDF (394KB)
Reviews in Cardiovascular Medicine ›› 2025, Vol. 26 ›› Issue (7) :38127 DOI: 10.31083/RCM38127
Original Research
research-article
Predictors of Long-Term Mortality in Medically Treated Patients With Chronic Heart Failure in Kosovo
Author information +
History +
PDF (394KB)

Abstract

Background:

Heart failure (HF) is a complex clinical syndrome that is associated with high morbidity and mortality. The prognosis of chronic HF in Kosovo has never been objectively assessed and compared with other countries. Thus, this study aimed to investigate the long-term prognostic value of clinical and cardiac function parameters in predicting the mortality of patients in Kosovo with chronic HF.

Methods:

This study included 203 consecutive patients with chronic HF who were followed up for a mean of 86 ± 40 months. The primary outcome of the study was all-cause mortality.

Results:

During the follow-up period, there were 94 deaths (46.3%). Deceased patients were older (p < 0.001), commonly in New York Heart Association (NYHA) class ≥III (p < 0.001), had lower 6-minute walk distances (p = 0.014), higher prevalence of type 2 diabetes mellitus (T2DM) (p = 0.018), raised creatinine (p = 0.001), and lower hemoglobin (p = 0.004). Moreover, these patients often had left bundle branch block (p = 0.001), lower left ventricular (LV) ejection fraction (EF) (p < 0.001), larger left atrium (LA) (p < 0.001), lower lateral and septal mitral annular plane systolic excursion (MAPSE) values (p = 0.001 and p < 0.001, respectively), and tricuspid annular plane systolic excursion (TAPSE) (p = 0.009), reduced lateral systolic myocardial velocity (s’) (p = 0.018), early diastolic myocardial velocity (e’) (p = 0.011) and late diastolic myocardial velocity (a’) (p = 0.010) velocities, reduced septal e’ (p < 0.001) and a’ (p = 0.032) velocities, and had higher E/e’ (p = 0.021), compared to survivors. Multivariate analysis identified NYHA class ≥III (odds ratio (OR) = 5.573, 95% CI 1.688–18.39; p = 0.005), raised creatinine (OR = 1.027, 95% CI 1.006–1.047; p = 0.011), advanced age (OR = 1.069, 95% CI 1.011–1.132; p = 0.020), enlarged LA (OR = 3.279, 95% CI 1.033–10.41; p = 0.044), and left ventricular ejection fraction (LVEF) ≤45% (OR = 3.887, 95% CI 1.221–12.38; p = 0.022), as independent predictors of mortality.

Conclusions:

In medically treated patients with chronic HF from Kosovo, worse functional NYHA class, impaired kidney function, age, compromised LV systolic function, and enlarged LA were independently associated with increased risk of long-term all-cause mortality.

Graphical abstract

Keywords

heart failure / predictors / echocardiography / outcome / mortality

Cite this article

Download citation ▾
Gani Bajraktari, Shpend Elezi, Pranvera Ibrahimi, Genc Abdyli, Artan Bajraktari, Arlind Batalli, Afrim Poniku, Frank L. Dini, Michael Y. Henein. Predictors of Long-Term Mortality in Medically Treated Patients With Chronic Heart Failure in Kosovo. Reviews in Cardiovascular Medicine, 2025, 26(7): 38127 DOI:10.31083/RCM38127

登录浏览全文

4963

注册一个新账户 忘记密码

1. Introduction

Despite many recent advances in the diagnosis and treatment of heart failure (HF), this condition remains a complex, heterogeneous, life-threatening clinical syndrome, which is accompanied by high morbidity and mortality, poor quality of life, and high economic burden [1, 2, 3]. HF affects more than 64 million people worldwide; thus, this syndrome is considered a global pandemic [4]. Moreover, the prevalence of HF is predicted to continue rising due to population longevity, which is impacted by advances in medical treatment [5]. Although survival rates of chronic HF patients have already increased over the past decades, the 5-year survival remains close to 50%, and the 10-year survival is less than 35% [6]. HF may be caused by several underlying etiologies, and is often accompanied by cardiac and non-cardiac comorbidities, associated with different adverse outcomes [1]. Previous studies have identified different clinical and echocardiographic predictors of short- and long-term outcomes of HF patients [7, 8, 9, 10, 11, 12]. However, the results are controversial and depend on the type of HF, the age of the patients, the geographic area of residence, and the national economic status. The prognosis of chronic HF in Kosovo has never been objectively assessed and compared with other countries. Therefore, this prospective study aimed to investigate the long-term prognosis of a group of patients admitted with HF at the Clinic of Cardiology, University Clinical Centre of Kosovo. The data for each patient included epidemiological, clinical, and echocardiographic heart structure and function parameters.

2. Methods

2.1 Study Population

We enrolled 268 patients, who were admitted at the Clinic of Cardiology (Second Division), University Clinical Centre of Kosovo, between September 2009 and November 2013, with the diagnosis of chronic HF, based on the available definitions at the time. All included patients were in New York Heart Association (NYHA) functional classes I–III, including those with ischemic and non-ischemic etiologies [13]. All patients were also receiving conventional, optimized HF treatment, based on the available clinical guidelines in use at the time of the study. During the follow-up period, 65 patients were inaccessible and were therefore excluded from the analysis. The exclusion criteria were, cardiac decompensation (NYHA class IV, those with peripheral edema), recent acute coronary syndrome, severe mitral regurgitation, stroke, limited physical activity due to cardiac and/or non-cardiac causes, significant anemia, more than mild renal failure (raised creatinine >110 mmol/L and estimated glomerular filtration rate (e-GFR) <60 mL/min/1.73 m2), and significant chronic obstructive pulmonary disease. A total of 203 patients (mean age 61 ± 10 years, 58.6% female) formed the study population, who were followed up for 86 ± 40 months. Of these included patients, 47% had ischemic etiology (60 of 95 patients were previously revascularized), 40% had hypertensive heart disease, and the remaining 13% had unknown etiologies. Additionally, 17% of the study population were in atrial fibrillation. The patient population comprised 92% who received angiotensin-converting enzyme (ACE) inhibitors or angiotensin II receptor blockers (ARBs), 76% who used beta-blockers, 62% who administered spironolactone, 46% who used diuretics, 6% who used calcium channel blockers, and 4% who used digoxin. This study was approved by the Ethics Committee of the Medical Faculty, University of Prishtina, with reference number 1056/2009. All included patients provided signed informed consent to participate in the study.

The patients were categorized into two groups: HF with preserved EF (HFpEF: EF 45%) and HF with reduced EF (HFrEF: EF <45%) based on the recorded mean left ventricular (LV) ejection fraction (EF) during the hospital stay [14, 15].

2.2 Data Collection

The medical history of each patient was obtained, and a clinical examination was undertaken in all patients at the time of enrollment. Biochemical tests, including lipid profile, blood glucose level, kidney function tests, and hemoglobin, were also performed in all patients. Body mass index (BMI) was measured using weight and height measurements, and the body surface area (BSA) was calculated using the Du Bois formula: BSA (m2) = 0.007184 × (height in cm)0.725 × (weight in kg)0.425 [16]. The waist/hips ratio was calculated from the waist and hips measurements in all patients.

2.3 Cardiac Structure and Function

Cardiac structure and function were studied using conventional Doppler echocardiography. All echocardiographic examinations were performed by a single operator using the Philips Intelligent E-33 system (Philips Healthcare, Andover, MA, USA), equipped with a multi-frequency transducer and harmonic imaging as needed. Images were obtained during quiet expiration, while the patient was in the left lateral decubitus position. LV end-diastolic and end-systolic dimensions, as well as interventricular septal and posterior wall thickness, were measured based on the recommendations of the European and American Society of Echocardiography [17, 18]. Left ventricular volumes and EF were calculated using the modified Simpson’s method. The M-mode technique was used to study left and right ventricular (RV) long-axis function, placing the cursor at the lateral and septal angles of the mitral annulus and the lateral angle of the tricuspid annulus [19]. Long axis measurements were identified as lateral and septal mitral annular plane systolic excursion (MAPSE) and tricuspid annular plane systolic excursion (TAPSE). LV and RV long-axis myocardial velocities were also studied using the Doppler myocardial imaging technique (tissue Doppler imaging, TDI), from the apical 4-chamber view. Longitudinal velocities were obtained using the pulsed wave Doppler sample volume placed at the basal part of the LV lateral and septal segments, as well as the basal part of the RV free wall. Systolic (s’) as well as early and late (e’ and a’) diastolic myocardial velocities were measured with the gain optimally adjusted. The mean value of the lateral and septal LV velocities was calculated [20]. Left atrial (LA) size was estimated in the parasternal long-axis view from the trailing edge of the posterior aortic wall to the leading edge of the posterior LA wall, in systole. The LA cavity was described as enlarged if the transverse diameter was 47 mm for women and 52 mm for men [21]. Diastolic LV function was assessed from LV filling velocities using the spectral Doppler technique with the pulsed wave Doppler sample volume placed at the tips of the mitral valve orifice during a brief apnea. Peak LV early (E wave) and late (A wave) LV filling velocities were measured, and the E/A ratio was calculated. Trans-mitral E wave deceleration time (DT) was also measured from peak E wave to the end of its deceleration. The E/e’ ratio was calculated from the trans-mitral E wave and mean lateral and septal segments myocardial e’ wave velocities, to reflect raised LA pressure. LV filling pattern was considered “restrictive” when the E/A ratio was >2.0, the E wave deceleration time was <140 ms, and the LA dilated with a transverse diameter was >40 mm [22]. Total LV filling time was measured from the onset of the E wave to the end of the A wave, and ejection time from the onset to the end of the aortic Doppler pulsed wave flow velocity. The total isovolumic time and Tei index were calculated from the two measurements to reflect LV dyssynchrony. Mitral regurgitation severity was graded as mild, moderate, or severe based on the relative jet area to that of LA, as well as the flow velocity profile. This assessment was performed in accordance with the recommendations of the European and American Society of Echocardiography [23, 24]. Color Doppler and continuous-wave Doppler were used for the assessment of tricuspid regurgitation. A pressure drop at retrograde trans-tricuspid >35 mmHg was considered as pulmonary hypertension [25]. The Doppler and M-mode recordings were registered at a fast speed of 100 mm/s with a superimposed electrocardiography (ECG) (lead II).

2.4 Six-Minute Walk Test

A 6-minute walk test (6-MWT) was performed within 24 hours of the echocardiographic examination. The test was performed in a level hallway corridor and administered by a specialized nurse, who was blinded to the echocardiographic findings. All study patients, who were on regular medical treatment, were informed of the purpose and protocol of the 6-MWT [26, 27, 28]. Patients were instructed to walk as far as possible for 6 minutes, turning 180° at the end of the corridor. Patients were not influenced by walking speed and walked unaccompanied. The supervising nurse measured the total distance patients walked at the end of the 6 minutes.

2.5 Follow-Up

After the baseline Doppler echocardiogram, all study patients were followed for a mean period of 86 ± 40 months. The study outcome endpoint was all-cause mortality. Follow-up data were obtained through regular visits, telephone calls, or hospital records.

2.6 Statistical Analysis

Data are presented as the mean ± standard deviation (SD) or proportions (% of patients). Continuous data were compared using a two-tailed unpaired Student t-test, and discrete data were compared using a chi-square test. Predictors of mortality were identified through univariate and multivariate logistic regression analyses, employing the stepwise selection method. Univariate logistic regression was used to identify potential predictors of all-cause mortality. Variables with p < 0.10 in univariate analysis were considered for inclusion in the multivariate model. The multivariate analysis was performed using binary logistic regression with a backward stepwise elimination method, based on likelihood ratio statistics, to determine independent predictors of mortality. Odds ratios (ORs) with 95% confidence intervals (CIs) were reported. A p-value < 0.05 (two-tailed) was considered statistically significant. The variables were dichotomized according to the following threshold values: EF 45% and LA diameter 47 mm for women and 52 mm for men. Kaplan–Meier curves were constructed, and log-rank tests were used to test for differences between survival curves. A Venn diagram was used to identify the accuracy of parameter combinations in predicting mortality.

3. Results

3.1 Clinical Data, Survivors Versus Non-Survivors

A total of 94/203 (46.3%) patients had died at the end of the follow-up period of 86 ± 40 months. The deceased were older (p < 0.001), with a higher prevalence of type 2 diabetes mellitus (T2DM) (p = 0.018), NYHA class III (p < 0.001), left bundle branch block (p = 0.001), lower 6-minute walk distance (p = 0.014), higher creatinine (p = 0.001), and lower hemoglobin (p = 0.004) than survivors (Table 1).

3.2 Cardiac Function, Survivors Versus Non-Survivors

Non-survivors had lower left ventricular ejection fraction (LVEF) (p < 0.001), larger LA (p < 0.001), reduced lateral and septal MAPSE (p = 0.001 and p < 0.001, respectively), as well as TAPSE (p = 0.009); moreover, the non-surviving patients had reduced lateral s’ (p = 0.018), e’ (p = 0.011) and a’ (p = 0.010) velocities, reduced septal e’ (p < 0.001) and a’ (p = 0.032) velocities, and a higher E/e’ (p = 0.021), compared to survivors. Total isovolumic time and Tei index were not different between the two groups (Table 2).

3.3 Predictors of Mortality in the Whole Patient Population

In the univariate analysis, age, NYHA class III, enlarged LA, LVEF 45%, reduced septal MAPSE (p < 0.001 for all), lateral MAPSE (p = 0.001) and TAPSE (p = 0.011), raised creatinine (p = 0.001 for all), in addition to reduced hemoglobin (p = 0.005), diabetes melitus (DM) (p = 0.012), compromised 6-minute walk distance (p = 0.017), raised E/A ratio (p = 0.021), reduced lateral s’ (p = 0.021) and high E/e’ ratio (p = 0.028), were predictors of all-cause mortality. The multivariate analysis identified NYHA class III (OR = 5.573, 95% CI 1.688–18.39; p = 0.005), raised creatinine (OR = 1.027, 95% CI 1.006–1.047; p = 0.011), advanced age (OR = 1.069, 95% CI 1.011–1.132; p = 0.020), enlarged LA (OR = 3.279, 95% CI 1.033–10.41; p = 0.044), and LVEF 45% (OR = 3.887, 95% CI 1.221–12.38; p = 0.022; Fig. 1), as independent predictors of mortality (Table 3).

Predictor accuracies were not significantly different from one another, except for the enlarged LA, which was modestly lower than the others. In total, 52% of the deceased patients had an LVEF 45%, while 50% were in NYHA class III, and 38% had an enlarged LA. These combined disturbances were present in 19% of the deceased (Fig. 2).

3.4 Predictors of Mortality Based on an LVEF >45% Versus 45%

During the follow-up period, 45/138 (32.3%) patients with an EF >45% died, and 49/65 (75.4%) patients with an EF 45% died; the difference in the prevalence of death between the two groups was significant (p < 0.001). In patients with an LVEF >45%, raised creatinine (OR = 1.025, 95% CI 1.004–1.046; p = 0.021) and a NYHA class III (OR = 9.299, 95% CI 1.985–43.56; p = 0.005) were independent predictors of mortality. In contrast, the multivariate analysis did not identify any independent predictor of mortality for those with HF and an LVEF 45% during follow-up (Table 4).

4. Discussion

4.1 Findings

This follow-up study of a cohort of Kosovo patients with chronic HF who were clinically stable on conventional HF medical treatment identified several factors that predicted all-cause mortality within a follow-up period of 86 ± 46 months. Indeed, a NYHA class III, high creatinine, age, an LVEF 45%, and an enlarged LA were independent predictors of mortality in these patients. Stratifying the patients according to LVEF measurements >45% and 45% resulted in significantly different results. All-cause mortality of patients with an LVEF >45% was independently predicted by high creatinine, NYHA class III, and enlarged LA. Comparatively, all-cause mortality of those patients with an LVEF 45% could not be predicted by any of the assessed cardiac or systemic variables. The three predictors of mortality coexisted in only 19% of patients. Finally, all-cause mortality was significantly higher in patients with an LVEF 45% compared to those with an LVEF >45%.

4.2 Data Interpretation

In this study, the deceased patients were older, predominantly smokers, with worse kidney function, worse NYHA class, and shorter 6-minute walk test distance. These patients also exhibited worse cardiac function, characterized by a lower LVEF, a larger LA, and clear signs of elevated LV filling pressures, yet a similar degree of LV global dyssynchrony, as assessed by total isovolumic time and Tei index. Therefore, although clinically stable at the beginning of the study, the deceased patients were in worse clinical condition compared to the survivors. This probably justifies their higher all-cause mortality, which was likely contributed to by many other clinical factors in addition to cardiac dysfunction. Interestingly, the accuracy of the above predictors was not significantly different, except for that of the enlarged LA, which is secondary to the primary LV systolic and diastolic disturbances. The coexistence of the three predictors was identified in only 19% of the deceased, thus confirming the different hemodynamic statuses of the patients, with some having a worse LVEF and others a stiffer cavity with raised filling pressures and a dilated LA. Splitting patients into two groups based on LVEF (45% and >45%) added more clarity to the picture, as despite similar ages between the two groups, the mortality rate of the LVEF 45% group was over double that of patients with an LVEF >45%. Moreover, the all-cause mortality for the group with an LVEF >45% could be predicted by a NYHA class >III, raised creatinine, and enlarged LA, consistent with worse cardiac condition as well as renal impairment. These results reflect the nature of the clinical outcome we initially established in this study, but failed to predict the all-cause mortality of the group with an LVEF 45%. Although the LVEF was lower in the latter group, the lack of mortality predictors reflects the potential multiple pathologies these patients had over and above HF with LVEF >45%; all of which promoted the significantly higher mortality exhibited in this study. Our findings on the overall all-cause mortality rate in the cohort align with previously published data from different countries [29, 30, 31], despite significant differences in the ratio between patient groups when classified according to LVEF [29, 32, 33, 34]. Moreover, the mortality rate did not differ significantly from that in developed countries [35]. The likely explanation of the lower mortality in the LVEF >45% group is the potential underdiagnosis, whether due to limited referrals to medical centers or missed diagnoses by local general practitioners, as well as patients managed as having hypertension-related symptoms, rather than HF. It is worth noting that predictors of long-term mortality vary across different geographically and economically developed countries and are often influenced by various underlying conditions and treatments [36, 37, 38]. On the other hand, the data from this study are unique in terms of geographical territory, treatment, and mortality prediction.

4.3 Study Limitations

This study has some obvious limitations. Although it was a prospective study in its nature, several patients did not fulfil the inclusion criteria and therefore had to be excluded; hence, the study cannot be described as consecutive. Furthermore, the study did not include myocardial deformation measurements, as these were not part of the routine clinical protocol used to assess the patients. The cohort size is modest, so we could not classify the patients into small groups according to the most likely clinical diagnosis that led to death. We also did not use the current HF classification based on LVEF, which was not available at the time of planning. Modern medical treatments, according to current clinical guidelines, were not available at the time; this could have altered our results. The left atrial diameter was used in this study, rather than the more robust indices of the left atrium, which can also assess left atrial function.

4.4 Clinical Implications

In a group of patients from Kosovo with chronic HF, age, worse NYHA class, and severity of LV dysfunction, in addition to renal impairment, predicted all-cause mortality. Patients with an LVEF 45% presented a worse prognosis than those with an LVEF >45%, suggesting a need for the former group to have critical regular medical reviews with multidisciplinary experts. The significant difference in mortality rate between patient subgroups, according to an LVEF measurement of >45% and 45%, warrants specific referral to specialized centers where optimal treatment is offered. Regular assessment of N-terminal prohormone of brain natriuretic peptide (NT-pro-BNP) in all symptomatic patients with a history of long-standing hypertension, irrespective of LVEF, should guarantee optimum patient stratification and management.

5. Conclusion

In medically treated patients from Kosovo with chronic HF, worse functional NYHA class, impaired kidney function, age, compromised LV systolic function, and enlarged LA were independently associated with an increased risk of long-term all-cause mortality, particularly in patients with an LVEF above 45%. The relevance of these predictors in patients with an LVEF 45% needs to be assessed in a larger cohort.

Availability of Data and Materials

The datasets used and analyzed during the current study are available from the corresponding author upon reasonable request.

References

[1]

Savarese G, Becher PM, Lund LH, Seferovic P, Rosano GMC, Coats AJS. Global burden of heart failure: a comprehensive and updated review of epidemiology. Cardiovascular Research. 2023; 118: 3272–3287. https://doi.org/10.1093/cvr/cvac013.

[2]

Jawadi Z, He R, Srivastava PK, Fonarow GC, Khalil SO, Krishnan S, et al. Predicting in-hospital mortality among patients admitted with a diagnosis of heart failure: a machine learning approach. ESC Heart Failure. 2024; 11: 2490–2498. https://doi.org/10.1002/ehf2.14796.

[3]

Bajraktari G, Pugliese NR, D’Agostino A, Rosa GM, Ibrahimi P, Perçuku L, et al. Echo- and B-Type Natriuretic Peptide-Guided Follow-Up versus Symptom-Guided Follow-Up: Comparison of the Outcome in Ambulatory Heart Failure Patients. Cardiology Research and Practice. 2018; 2018: 3139861. https://doi.org/10.1155/2018/3139861.

[4]

GBD 2017 Disease and Injury Incidence and Prevalence Collaborators. 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.

[5]

Savarese G, Lund LH. Global Public Health Burden of Heart Failure. Cardiac Failure Review. 2017; 3: 7–11. https://doi.org/10.15420/cfr.2016:25:2.

[6]

Jones NR, Roalfe AK, Adoki I, Hobbs FDR, Taylor CJ. Survival of patients with chronic heart failure in the community: a systematic review and meta-analysis. European Journal of Heart Failure. 2019; 21: 1306–1325. https://doi.org/10.1002/ejhf.1594.

[7]

Pocock SJ, Wang D, Pfeffer MA, Yusuf S, McMurray JJV, Swedberg KB, et al. Predictors of mortality and morbidity in patients with chronic heart failure. European Heart Journal. 2006; 27: 65–75. https://doi.org/10.1093/eurheartj/ehi555.

[8]

Rossignol P, Lainscak M, Crespo-Leiro MG, Laroche C, Piepoli MF, Filippatos G, et al. Unravelling the interplay between hyperkalaemia, renin-angiotensin-aldosterone inhibitor use and clinical outcomes. Data from 9222 chronic heart failure patients of the ESC-HFA-EORP Heart Failure Long-Term Registry. European Journal of Heart Failure. 2020; 22: 1378–1389. https://doi.org/10.1002/ejhf.1793.

[9]

Bajraktari G, Fontanive P, Qirko S, Elezi S, Simioniuc A, Huqi A, et al. Independent and incremental value of severely enlarged left atrium in risk stratification of very elderly patients with chronic systolic heart failure. Congestive Heart Failure. 2012; 18: 222–228. https://doi.org/10.1111/j.1751-7133.2011.00280.x.

[10]

Bajraktari G, Emini M, Shabani X, Berisha V, Selmani H, Rexhepaj N, et al. Predictors of mortality in medically treated patients with congestive heart failure of nonrheumatic etiology and reduced systolic function. European Journal of Internal Medicine. 2009; 20: 362–365. https://doi.org/10.1016/j.ejim.2008.09.011.

[11]

Shahim A, Hourqueig M, Donal E, Oger E, Venkateshvaran A, Daubert JC, et al. Predictors of long-term outcome in heart failure with preserved ejection fraction: a follow-up from the KaRen study. ESC Heart Failure. 2021; 8: 4243–4254. https://doi.org/10.1002/ehf2.13533.

[12]

Tay WT, Teng THK, Simon O, Ouwerkerk W, Tromp J, Doughty RN, et al. Readmissions, Death and Its Associated Predictors in Heart Failure With Preserved Versus Reduced Ejection Fraction. Journal of the American Heart Association. 2021; 10: e021414. https://doi.org/10.1161/JAHA.121.021414.

[13]

Bozkurt B, Coats AJ, Tsutsui H, Abdelhamid M, Adamopoulos S, Albert N, et al. Universal Definition and Classification of Heart Failure: A Report of the Heart Failure Society of America, Heart Failure Association of the European Society of Cardiology, Japanese Heart Failure Society and Writing Committee of the Universal Definition of Heart Failure. Journal of Cardiac Failure. 2021; 27: 387–413. https://doi.org/10.1016/j.cardfail.2021.01.022.

[14]

Adabag S, Smith LG, Anand IS, Berger AK, Luepker RV. Sudden cardiac death in heart failure patients with preserved ejection fraction. Journal of Cardiac Failure. 2012; 18: 749–754. https://doi.org/10.1016/j.cardfail.2012.08.357.

[15]

Kapelios CJ, Shahim B, Lund LH, Savarese G. Epidemiology, Clinical Characteristics and Cause-specific Outcomes in Heart Failure with Preserved Ejection Fraction. Cardiac Failure Review. 2023; 9: e14. https://doi.org/10.15420/cfr.2023.03.

[16]

Du Bois D, Du Bois EF. A formula to estimate the approximate surface area if height and weight be known. Archives of Internal Medicine. 1916; 17: 863–871. http://dx.doi.org/10.1001/archinte.1916.00080130010002.

[17]

Lang RM, Badano LP, Mor-Avi V, Afilalo J, Armstrong A, Ernande L, et al. Recommendations for cardiac chamber quantification by echocardiography in adults: an update from the American Society of Echocardiography and the European Association of Cardiovascular Imaging. European Heart Journal. Cardiovascular Imaging. 2015; 16: 233–270. https://doi.org/10.1093/ehjci/jev014.

[18]

Galderisi M, Cosyns B, Edvardsen T, Cardim N, Delgado V, Di Salvo G, et al. Standardization of adult transthoracic echocardiography reporting in agreement with recent chamber quantification, diastolic function, and heart valve disease recommendations: an expert consensus document of the European Association of Cardiovascular Imaging. European Heart Journal. Cardiovascular Imaging. 2017; 18: 1301–1310. https://doi.org/10.1093/ehjci/jex244.

[19]

Höglund C, Alam M, Thorstrand C. Atrioventricular valve plane displacement in healthy persons. An echocardiographic study. Acta Medica Scandinavica. 1988; 224: 557–562. https://doi.org/10.1111/j.0954-6820.1988.tb19626.x.

[20]

Nagueh SF, Smiseth OA, Appleton CP, Byrd BF, 3rd, Dokainish H, Edvardsen T, et al. Recommendations for the Evaluation of Left Ventricular Diastolic Function by Echocardiography: An Update from the American Society of Echocardiography and the European Association of Cardiovascular Imaging. Journal of the American Society of Echocardiography. 2016; 29: 277–314. https://doi.org/10.1016/j.echo.2016.01.011.

[21]

Lang RM, Bierig M, Devereux RB, Flachskampf FA, Foster E, Pellikka PA, et al. Recommendations for chamber quantification: a report from the American Society of Echocardiography’s Guidelines and Standards Committee and the Chamber Quantification Writing Group, developed in conjunction with the European Association of Echocardiography, a branch of the European Society of Cardiology. Journal of the American Society of Echocardiography. 2005; 18: 1440–1463. https://doi.org/10.1016/j.echo.2005.10.005.

[22]

Appleton CP, Hatle LK, Popp RL. Relation of transmitral flow velocity patterns to left ventricular diastolic function: new insights from a combined hemodynamic and Doppler echocardiographic study. Journal of the American College of Cardiology. 1988; 12: 426–440. https://doi.org/10.1016/0735-1097(88)90416-0.

[23]

Zoghbi WA, Adams D, Bonow RO, Enriquez-Sarano M, Foster E, Grayburn PA, et al. Recommendations for Noninvasive Evaluation of Native Valvular Regurgitation: A Report from the American Society of Echocardiography Developed in Collaboration with the Society for Cardiovascular Magnetic Resonance. Journal of the American Society of Echocardiography. 2017; 30: 303–371. https://doi.org/10.1016/j.echo.2017.01.007.

[24]

Galderisi M, Henein MY, D’hooge J, Sicari R, Badano LP, Zamorano JL, et al. Recommendations of the European Association of Echocardiography: how to use echo-Doppler in clinical trials: different modalities for different purposes. European Journal of Echocardiography. 2011; 12: 339–353. https://doi.org/10.1093/ejechocard/jer051.

[25]

Gardin JM, Adams DB, Douglas PS, Feigenbaum H, Forst DH, Fraser AG, et al. Recommendations for a standardized report for adult transthoracic echocardiography: a report from the American Society of Echocardiography’s Nomenclature and Standards Committee and Task Force for a Standardized Echocardiography Report. Journal of the American Society of Echocardiography: Official Publication of the American Society of Echocardiography. 2002; 15: 275–290. https://doi.org/10.1067/mje.2002.121536.

[26]

Guyatt GH, Sullivan MJ, Thompson PJ, Fallen EL, Pugsley SO, Taylor DW, et al. The 6-minute walk: a new measure of exercise capacity in patients with chronic heart failure. Canadian Medical Association Journal. 1985; 132: 919–923.

[27]

Guyatt GH, Thompson PJ, Berman LB, Sullivan MJ, Townsend M, Jones NL, et al. How should we measure function in patients with chronic heart and lung disease? Journal of Chronic Diseases. 1985; 38: 517–524. https://doi.org/10.1016/0021-9681(85)90035-9.

[28]

Batalli A, Ibrahimi P, Bytyçi I, Ahmeti A, Haliti E, Elezi S, et al. Different determinants of exercise capacity in HFpEF compared to HFrEF. Cardiovascular Ultrasound. 2017; 15: 12. https://doi.org/10.1186/s12947-017-0103-x.

[29]

Tsao CW, Lyass A, Enserro D, Larson MG, Ho JE, Kizer JR, et al. Temporal Trends in the Incidence of and Mortality Associated With Heart Failure With Preserved and Reduced Ejection Fraction. JACC. Heart Failure. 2018; 6: 678–685. https://doi.org/10.1016/j.jchf.2018.03.006.

[30]

Raja DC, Samarawickrema I, Das S, Mehta A, Tuan L, Jain S, et al. Long-term mortality in heart failure with mid-range ejection fraction: systematic review and meta-analysis. ESC Heart Failure. 2022; 9: 4088–4099. https://doi.org/10.1002/ehf2.14125.

[31]

Shahim B, Kapelios CJ, Savarese G, Lund LH. Global Public Health Burden of Heart Failure: An Updated Review. Cardiac Failure Review. 2023; 9: e11. https://doi.org/10.15420/cfr.2023.05.

[32]

Shahim A, Hourqueig M, Lund LH, Savarese G, Oger E, Venkateshvaran A, et al. Long-term outcomes in heart failure with preserved ejection fraction: Predictors of cardiac and non-cardiac mortality. ESC Heart Failure. 2023; 10: 1835–1846. https://doi.org/10.1002/ehf2.14302.

[33]

Rywik TM, Wiśniewska A, Cegłowska U, Drohomirecka A, Topór-Mądry R, Łazarczyk H, et al. Heart failure with reduced, mildly reduced, and preserved ejection fraction: outcomes and predictors of prognosis. Polish Archives of Internal Medicine. 2023; 133: 16522. https://doi.org/10.20452/pamw.16522.

[34]

Castillo JC, Anguita MP, Jiménez M, BADAPIC group. Outcome of heart failure with preserved ejection fraction: a multicentre spanish registry. Current Cardiology Reviews. 2009; 5: 334–342. https://doi.org/10.2174/157340309789317814.

[35]

Tribouilloy C, Buiciuc O, Rusinaru D, Malaquin D, Lévy F, Peltier M. Long-term outcome after a first episode of heart failure. A prospective 7-year study. International Journal of Cardiology. 2010; 140: 309–314. https://doi.org/10.1016/j.ijcard.2008.11.087.

[36]

Park CS, Park J, Bae NY, Kwak S, Choi HM, Yoon YE, et al. Characteristics, Predictors, and Clinical Outcomes in Heart Failure With Reduced Ejection Fraction According to a 1-Year Left Ventricular Ejection Fraction Following Sacubitril/Valsartan Treatment. Journal of the American Heart Association. 2024; 13: e036763. https://doi.org/10.1161/JAHA.124.036763.

[37]

Wang C, Guan L, Han S, Tong F, Li Y, Li Z, et al. Systematic review and meta-analysis to predict mortality in heart failure with preserved ejection fraction: Development and validation of the HF-DANAS score. ESC Heart Failure. 2024; 11: 4104–15. https://doi.org/10.1002/ehf2.15008.

[38]

Dzudie A, Barche B, Nkoke C, Ngatchuesi VG, Ndom MS, Mouliom S, et al. Survival rate and predictors of 36-month mortality in patients with heart failure in Sub Saharan Africa: insights from the Douala Heart Failure Registry (Do-HF). Cardiovascular Diagnosis and Therapy. 2022; 12: 577–588. https://doi.org/10.21037/cdt-22-166.

PDF (394KB)

0

Accesses

0

Citation

Detail

Sections
Recommended

/