|Year : 2018 | Volume
| Issue : 4 | Page : 82-85
The predictors of long-term hospitalization in Turkish heart failure population: A subgroup analysis of journey heart failure-TR study: On behalf of journey heart failure-TR investigators
Umit Yasar Sinan1, Mehmet Erturk2, Erkan Yıldırım3, Duygu Koçyiğit4, Ilgın Karaca5, Faruk Ertas6, Ahmet Celik7, Fatih Aksoy8, Hasan Ali Gumrukcuoglu9, Umit Yuksek10, Mahir Cengiz11, Mehdi Zoghi12
1 Department of Cardiology, Istanbul University Institute of Cardiology, Istanbul, Turkey
2 Department of Cardiology, Ministry of Health Mehmet Akif Ersoy Thoracic and Cardiovascular Surgery Training Research Hospital, Istanbul, Turkey
3 Department of Cardiology, Health Science University Erzurum Region Education and Research Hospital, Erzurum, Turkey
4 Department of Cardiology, Hacettepe University School of Medicine, Ankara, Turkey
5 Department of Cardiology, Firat University School of Medicine, Elazig, Turkey
6 Department of Cardiology, Dicle University School of Medicine, Diyarbakir, Turkey
7 Department of Cardiology, Mersin University School of Medicine, Mersin, Turkey
8 Department of Cardiology, Afyonkarahisar Dinar State Hospital, Afyonkarahisar, Turkey
9 Department of Cardiology, Lokman Hekim Van Hospital, Van, Turkey
10 Department of Cardiology, Izmir Odemis State Hospital, Izmir, Turkey
11 Department of Cardiology, Istanbul University Cerrahpasa School of Medicine, Istanbul, Turkey
12 Department of Cardiology, Ege University School of Medicine, Izmir, Turkey
|Date of Web Publication||27-Nov-2018|
Dr. Umit Yasar Sinan
Instructor, Department of Cardiology, Istanbul University Institute of Cardiology, Haseki Street, 29/31, Istanbul
Source of Support: None, Conflict of Interest: None
Background: Heart failure (HF) is an important public health problem. We aimed to investigate the predictors of long-term hospitalization in Turkish HF population. Materials and Methods: Journey-HF-TR study is a multicenter, cross-sectional, noninvasive, and observational study that was conducted in intensive care unit (ICU), coronary care unit (CCU), and cardiology wards in seven geographical regions of Turkey. In this subgroup analysis, patients were classified as two groups according to inhospital stay called the patient with the shorter length of stay (S-LOS) (inhospital stay <5 days; S-LOS) and patients with longer LOS (L-LOS) (inhospital stay ≥5 days; L LOS). Results: The study group was consisted of 1606 patients (57.2% male, mean age: 67. 8 ± 13.0 years old). One thousand and thirty seven patients, whom in-hospital stay duration were recorded in case report form, were included in this analysis. There were 487 patients (32.1%) in S LOS group and 1030 patients (67.9%) in L LOS group. In multivariate analysis, correlation was present for NYHA functional capacity, CKD, ACS related HF, right HF, cardiogenic shock, invasive and noninvasive ventilation, and hemodynamic monetarization. The longer inhospital stay increases the probability of morbidity and mortality. Conclusion: We demonstrated that there was positive correlation between longer hospital stay and HF severity (NYHA III-IV), CKD, cardiogenic shock, right ventricular HF, and HF related to ACS. HFpEF patients have less in-hospital stay than HFrEF and HFmrEF patients.
Keywords: Acute heart failure, long inhospital stay (length of stay), morbidity, mortality
|How to cite this article:|
Sinan UY, Erturk M, Yıldırım E, Koçyiğit D, Karaca I, Ertas F, Celik A, Aksoy F, Gumrukcuoglu HA, Yuksek U, Cengiz M, Zoghi M. The predictors of long-term hospitalization in Turkish heart failure population: A subgroup analysis of journey heart failure-TR study: On behalf of journey heart failure-TR investigators. Int J Cardiovasc Acad 2018;4:82-5
|How to cite this URL:|
Sinan UY, Erturk M, Yıldırım E, Koçyiğit D, Karaca I, Ertas F, Celik A, Aksoy F, Gumrukcuoglu HA, Yuksek U, Cengiz M, Zoghi M. The predictors of long-term hospitalization in Turkish heart failure population: A subgroup analysis of journey heart failure-TR study: On behalf of journey heart failure-TR investigators. Int J Cardiovasc Acad [serial online] 2018 [cited 2020 Aug 8];4:82-5. Available from: http://www.ijcva.com/text.asp?2018/4/4/82/246149
| Introduction|| |
Acute heart failure (AHF) is a life-threatening syndrome that constitutes a majority of the hospitalizations in cardiology clinics and intensive/coronary care units (CCUs) among patients aged above 65. It can develop as a result of worsening symptoms of existing HF (acute decompensated chronic HF (ADCHF) or de novo development of these symptoms. As well as, it is a leading cause of morbidity and mortality, and it also increases the health-care costs.
Hospital length of stay (LOS) is defined as the actual number of days the patients remained in the hospital, determined from the day of admission to the day of discharge. Theoretically, longer LOS (L-LOS) identifies more severe patients and/or complications occurring during hospitalization. It has been suggested a surrogate measure of hospital performance., LOS is a key determinant of HF hospitalization costs. L-LOS is also associated with lower performance on quality of care measures and higher rates of subsequent readmission and mortality. Several studies revealed that possible determinants of L-LOS for HF patients include sociodemographic variables, medical comorbidity, disease severity (worse functional class and lower left ventricular ejection fraction [LVEF]), clinical presentation, inpatient treatment, inhospital progress, and development of iatrogenic complications., Some medical comorbidities that were known in prolonging LOS are concurrent stroke, worsening of renal function, atrial fibrillation, respiratory problems requiring specific treatment, and malnutrition.,
We aimed to determine the predictors of long-term hospitalization in Journey HF-TR population.
| Methods|| |
Journey-HF-TR study is a multicenter, cross-sectional, noninvasive, and observational study that was conducted in intensive care unit (ICU), CCU, and cardiology wards in seven geographical regions of Turkey. The patients hospitalized with the final diagnosis of AHF between September 2015 and 2016 were included in Journey-HF-TR study. According to LOS, patients were classified as patient with shorter LOS (S-LOS) (inhospital stay <5 days; S-LOS) and patients with L-LOS (inhospital stay ≥5 days; L-LOS) in this subgroup analysis. Baseline and clinical characteristics, comorbidities, and laboratory data were collected during hospital admission. 12-lead electrocardiogram (ECG) and transthoracic echocardiography (TTE) were performed in all patients. Patients with systolic blood pressure higher than 140 mmHg and diastolic blood pressure higher than 90 mmHg or who were taking antihypertensive treatment were classified hypertensive (HT). Patients with fasting blood sugar higher than 125 mg/dl in two blood samples and glycated hemoglobin A1c (HbA1c) higher than 6.5% or who were taking antidiabetic medication were classified as diabetes mellitus (DM). Anemia was defined as Hb level is <13 g/dl in men and <12 g/dl in women according to the World Health Organization criteria. Chronic kidney disease (CKD) was defined as if glomerular filtration rate (GFR) is <60 ml/per min/1.73 m2. On TTE, patients were divided into three groups according to LVEF as patients with reduced EF (LVEF <40%), patients with midrange EF (LVEF: 40%-49%), and patients with preserved EF (LVEF >50%).
Statistical analysis was performed using SPSS program (SPSS Inc., Chicago, IL, USA). Continuous variables are presented as the mean ± standard deviation or median (minimum-maximum) if not normally distributed. Categorical variables are presented in frequency (percentages). Univariate analysis was performed to identify the variables associated with LOS. Those variables with P < 0.25 at the univariate analysis were included in the multivariate model. A value of P < 0.05 was considered to be statistically significant.
| Results|| |
The study group was consisted of 1606 patients (57.2% male, mean age: 67. 8 ± 13.0 years old). The initial functional capacity was New York Heart Association (NYHA) III-IV in 75.2% of patients. The median stay in CCU/ICU was 3 days, and total hospitalization duration was 7 days. The total inhospital mortality was 7.6% in the overall population.
One thousand and thirty-seven patients, whom inhospital stay duration were recorded in case report form, were included in this analysis. There were 487 patients (32.1%) in S-LOS group and 1030 patients (67.9%) in L-LOS group. Interestingly, the patients in S-LOS group were older than the patients in L-LOS group (69.1 ± 13.0 and 67.0 ± 13.0 years old, P < 0.05). There was much more male in L-LOS group (55.6% and 44.4%, P < 0.05).
The prevalence of HT, DM, AF, coronary artery disease, and anemia was similar between two groups. CKD was the unique comorbidity that was much more seen in patients with L-LOS than patients with S-LOS (30.1% and 22.8%, P = 0.003). The clinical presentation (de novo AHF or ADCHF) was similar between groups. Patients with L-LOS were much more presented with acute pulmonary edema (32.3% and 28.3%), cardiogenic shock (4.1% and 1.8%), and right ventricular failure (28.6% and 20.7%) [Table 1].
Patients with L-LOS had much more severe disease. The prevalence of patients with advanced stage HF (NYHA III-IV) was higher in L-LOS group than S-LOS group (52. 3% and 22. 5%, P < 0.001). Acute coronary syndrome (ACS)-related AHF was one of the contributing factors of long-term hospitalization. While the contributing factor was ACS in 16.3% of patients with L-LOS, 11.7% of patients with S-LOS were hospitalized due to ACS-related AHF (P < 0.05). Hemodynamic monetarization (18.0% and 11.9%), noninvasive (18.3% and 10.9%), and invasive ventilation (7.7% and 3.1%) were the other causes of longer hospitalization (P < 0.01 for all three variable).
On physical examination, systolic blood pressure (130.3 ± 29.9 and 127.1 ± 30.9 mmHg), diastolic blood pressure (82.4 ± 12.2 and 80.1 ± 11.4 mmHg), and heart rate (95.3 ± 23.3 and 93.2 ± 23.5 per min) were similar between S-LOS and L-LOS patient groups (P > 0.05 for all three variables). On ECG, QRS duration also was similar between two groups (106.6 ± 25.9 and 105.7 ± 40.8 msn; P < 0.05) [Table 2].
|Table 2: Physical examination, electrocardiogram, laboratory, and echocardiographic features of groups|
Click here to view
On laboratory, natriuretic peptide levels (N-terminal pro B-type natriuretic peptide) and GFR and Hb levels were also similar between two groups (respectively, 6701 ± 978 and 8129 ± 188 pg/ml, 49.7 ± 28.7 and 49.4 ± 31.4 ml/min/1.73 m2, and 12.3 ± 2.1 and 12.1 ± 2.1 g/dl; P > 0.05 for all three variables) [Table 2].
The mean EF was 35.5 ± 12.9 in S-LOS group patients, 32.1 ± 12.1 in L-LOS group patients (P > 0.05). While HF patients with preserved EF (HFpEF) was much more in patients with S-LOS (21% and 16%; P < 0.001), HF patients with reduced EF (HFrEF) (64% and 67%) and HF patients with midrange EF (HFmrEF) (15% and 17%) were similar between group (P < 0.05). There was no correlation between EF and L-LOS. As we know, HFpEF patients generally have more comorbidities and are older than other two groups. On the other hand, HFpEF patients have better systolic and diastolic BP than other EF groups. In advance stage, HF disease having lower BP is more problematic and causes L-LOS and higher mortality. Although we did not perform such statistical analysis, it may be the reason for S-LOS in HFpEF patients.
Univariate analysis showed correlation between LOS and male sex, advanced stage HF (NYHA III-IV), CKD, cardiogenic shock, pulmonary edema, right HF, invasive and noninvasive mechanical ventilation requirement, and hemodynamic monetarization requirement. In multivariate analysis, this correlation still was present for NYHA functional capacity, CKD, ACS-related HF, right HF, cardiogenic shock, invasive and noninvasive ventilation requirement, and hemodynamic monetarization requirement.
| Discussion|| |
In this study, we demonstrated that there was positive correlation between L-LOS and male sex, HF severity (NYHA III-IV), CKD, pulmonary edema, cardiogenic shock, right ventricular HF, HF related to ACS, invasive or noninvasive mechanical ventilation requirement, and hemodynamic monitor requirement. After multivariate analysis, this correlation remained constant for NYHA functional capacity, CKD, ACS-related HF, right HF, cardiogenic shock, invasive and noninvasive ventilation requirement, and hemodynamic monetarization requirement. Although the mean EF was similar between two groups, the prevalence of LOS was similar between patients with HFrEF and HFmrEF and had shorter in patients with HFpEF patients.
AHF is a life-threatening clinical syndrome that constitutes a majority of the hospitalizations among patients aged above 65 years. The LOS in AHF patients is a surrogate for the quality of health-care service., The L-LOS increases subsequent hospital readmission and mortality. It also increases health-care costs.
AHF patients with multiple comorbidities (HT, DM, AF, CKD, and anemia) have L-LOS., Especially, anemia and worsening of renal failure during inhospital stay are possible determinants of L-LOS for AHF patients.,, Iron deficiency without the presence of anemia is an important consequence of HF. It causes worse prognosis and advanced stage disease in HF patients. In our study population, we did not check the patient's ferritin and transferrin saturation, but Hb levels and prevalence of anemia were similar in S-LOS and L-LOS patient's groups. The mean GFR value was below 60 ml/min/1.73 m2. The prevalence of CKD patients was higher in L-LOS group. The prevalence of other comorbidities (HT, DM, AF, etc.) was similar between the two groups. ACS is an important clinical situation, especially for de novo AHF. Most of the patients with ACS-related AHF benefit from revascularization therapy. In our study group, ACS-related AHF caused longer hospital stay.
NYHA functional classification has been used to describe the severity of symptoms and exercise intolerance. The term advanced HF (NYHA III-IV) is used to characterize patients with severe symptoms, recurrent decompensation, and severe cardiac dysfunction. The prevalence of NYHA III-IV patients was higher in L-LOS group than S-LOS group. Cardiogenic shock and pulmonary edema are the two most serious clinical presentation of AHF. They increase LOS and inhospital mortality. We demonstrated correlation between L-LOS and pulmonary edema and cardiogenic shock, but after multivariate analysis, this correlation was just continued for cardiogenic shock. Right HF is an important consequence of HF patients. Right ventricular dysfunction predicted poor outcomes in patients with stable CHF. Yamin et al. showed right ventricular dysfunction as a predictor of longer hospital stay in patients with acute decompensated HF. Likewise, right HF was one of the determinants of L-LOS in patients with ADCHF in our study. Invasive or noninvasive mechanical ventilation is necessary for hypoxemic HF patients. It reflects the hypoxemia due to volume overload, especially in lung parenchyma. Hemodynamic monetarization is necessary for the management of inotropic or vasodilator therapy in patients with hypertensive or hypotensive HF. The requirement of respiratory support and hemodynamic monetarization was higher in L-LOS group than S-LOS group.
| Conclusion|| |
Our study is the largest scale study to investigate the determinants of longer hospital stay in Turkish HF population that was hospitalized due to AHF. It gives important clues to improve health-care quality and shorten the LOS in Turkey. L-LOS is an important surrogate subsequent hospital readmission and mortality. Since our study is retrospective in natüre, we do not have an idea about the prevalance of hospital readmission and mortality among patients with L-LOS. Prospective studies are necessary to present this relation.
Our study has several limitations. Surveys based on voluntary participation and recruitment of patients have obvious limitations that have to be acknowledged. Although participant sites were encouraged to enroll patients, as consecutively as possible, the study population may not represent the general population. The registry data are based on only by documentation of medical history, and management during hospitalization and the follow-up data are not obtained.
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Conflicts of interest
There are no conflicts of interest.
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[Table 1], [Table 2]