Circulation Reports
Online ISSN : 2434-0790
Epidemiology
Characteristics and Outcomes of Super-Elderly Patients (Aged ≥90 Years) Hospitalized for Heart Failure ― Analysis of a Nationwide Inpatient Database ―
Hidehiro KanekoHidetaka ItohHaruki YotsumotoHiroyuki KiriyamaTatsuya KamonKatsuhito FujiuKojiro MoritaNobuaki MichihataTaisuke JoHiroyuki MoritaHideo YasunagaIssei Komuro
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2020 Volume 2 Issue 8 Pages 393-399

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Abstract

Background: Although the aged population is increasing in developed countries, clinical evidence on super-elderly heart failure (HF) patients is scarce. This study determined the characteristics and outcomes of Japanese hospitalized super-elderly HF patients (aged ≥90 years) using a nationwide inpatient database.

Methods and Results: A comprehensive analysis was performed of 447,818 HF patients in the Diagnosis Procedure Combination database who were hospitalized and discharged between January 2010 and March 2018. Among the study population, 243,028 patients (54.3%) were aged ≥80 years and 64,628 patients (14.4%) were aged ≥90 years. The percentage of elderly patients increased over time. Elderly patients were more likely to be female and had a higher New York Heart Association functional class at admission. Invasive and advanced procedures were rarely performed, whereas infectious complications were more common in patients with older age. Length of hospital stay and in-hospital mortality increased with age. Multivariable logistic regression analysis fitted with a generalized estimating equation showed higher in-hospital mortality in patients aged ≥80 and ≥90 years (odds ratios 1.99 and 3.23, respectively) compared with those aged <80 years.

Conclusions: The number of hospitalized super-elderly HF patients has increased, and these patients are associated with worse clinical outcomes. The results of this study may be useful in establishing an optimal management strategy for super-elderly HF patients in the era of HF pandemic.

An aging society and the associated increases in cardiovascular diseases are common healthcare concerns in developed countries.1,2 Because aging is associated with heart failure (HF),35 the number of elderly patients with HF has increased in developed countries. Most previous studies on elderly HF patients defined “elderly” patients as those ≥80 years of age.68 However, the number of patients aged >90 years is also increasing in super-aging societies, and clinical evidence for super-elderly patients is important. Although earlier studies already showed that the percentage of elderly HF patients was increasing9 and older age was associated with adverse clinical outcomes in patients with HF,68,10,11 clinical data on the prevalence of super-elderly HF patients and the clinical outcomes of super-elderly HF patients are scarce. In this study we explored the outcomes of elderly patients hospitalized for worsened HF, particularly super-elderly patients aged ≥90 years, using a nationwide inpatient database. Considering the rapid increase in the proportion of the aged population in developed countries, the critical epidemiological condition so called “HF pandemic” is approaching; thus, presenting real-world data on super-elderly HF patients is critical at this time.

Methods

Study Design and Data Source

The Diagnosis Procedure Combination (DPC) database is a nationwide inpatient database in Japan.12,13 Briefly, the DPC database includes administrative claims and clinical data for approximately 7 million hospitalized patients per year from approximately 1,000 participating hospitals. The main diagnosis, comorbidities at admission, and complications during hospitalization are recorded using the International Classification of Disease and Related Health Problems 10th Revision (ICD-10) codes. In this study, we reviewed data for 466,921 patients aged ≥20 years with New York Heart Association (NYHA) Class ≥II, admitted and discharged between January 2010 and March 2018 with the main discharge diagnosis of HF defined by ICD-10 codes I50.0, I50.1, and I50.9. Patients with a length of hospital stay ≤2 days (n=15,270) and those who underwent major procedures under general anesthesia (n=3,833) were excluded from the study. Thus, the final number of patients analyzed in this study was 447,818.

Ethical Considerations

This study was approved by the Institutional Review Board of the University of Tokyo [3501-(3)]. This study was conducted in accordance with the Declaration of Helsinki. Because of the anonymous nature of the database, the requirement for informed consent was waived.

Statistical Analysis

Categorical and continuous data are presented as numbers with percentages and as the median with interquartile range (IQR). Categorical and continuous variables were compared using Chi-squared tests and 1-way analysis of variance (ANOVA). The association of age category with in-hospital mortality was evaluated using a multivariable logistic regression analysis with adjustment for other covariates, while also adjusting for within-hospital clustering using a generalized estimating equation.14 Subgroup analyses were conducted according to sex and geographic region. For analysis on geographic region, the study population was divided into 7 regions, namely the Northern, Central, Kanto, Tokyo, Kinki, Chugoku-Shikoku, and Kyushu regions, according to 47 prefectures in Japan. Two-sided P<0.05 was considered significant. Statistical analyses were performed using SPSS version 25 (IBM Corp., Armonk, NY, USA) and STATA (StataCorp, College Station, TX, USA).

Results

Trend of Age Distribution

The percentage of HF patients aged ≥80 and ≥90 years increased from 50.6% and 12.8%, respectively, in 2010 to 57.8% and 16.9%, respectively, in 2018 (Figure 1).

Figure 1.

(A) Trends in the age distribution of patients hospitalized for heart failure and (B) serial changes in the number of patients in each age category.

Characteristics of the Study Population

The characteristics of the study population are summarized in Table 1. In total, 243,028 patients (54.3%) were aged ≥80 years and 64,628 patients (14.4%) were aged ≥90 years. Elderly patients were more likely to be female. Body mass index was lower in elderly patients. There were significant differences in prevalence of comorbidities, such as hypertension, diabetes, and chronic renal dysfunction among age categories. The percentage of patients categorized as NYHA Class IV at admission increased with age. Information on medications administered within 2 days after admission was also collected. Furosemide was more frequently used in patients aged ≥80 and ≥90 years than in those aged <80 years. Conversely, other medications used for the treatment of HF were less frequently administered in patients aged ≥80 and ≥90 years.

Table 1. Characteristics of the Study Population
  Age (years) P-value
<80 (n=204,790) 80–89 (n=178,400) ≥90 (n=64,628)
Age (years) 71 [13] 84 [5] 92 [4] <0.001
Age group (years)
 20–59 34,865 (17.0)  
 60–69 56,419 (27.5)  
 70–79 113,506 (55.4)  
 80–89 178,400 (100.0)  
 ≥90 64,628 (100.0)  
Male sex 135,663 (66.2) 82,908 (46.5) 19,621 (30.4) <0.001
BMIA (kg/m2) 23.2 [5.7] 21.5 [4.9] 20.4 [4.7] <0.001
Hypertension 139,459 (68.1) 119,622 (67.1) 41,994 (65.0) <0.001
Diabetes mellitus 81,184 (39.6) 49,046 (27.5) 10,789 (16.7) <0.001
Chronic renal failure 29,633 (14.5) 27,051 (15.2) 8,819 (13.6) <0.001
Chronic liver disease 10,103 (4.9) 6,070 (3.4) 1,344 (2.1) <0.001
Chronic respiratory disease 22,129 (10.8) 21,970 (12.3) 6,642 (10.3) <0.001
Atrial fibrillation 77,727 (38.0) 74,370 (41.7) 23,590 (36.5) <0.001
Myocardial infarction 6,168 (3.0) 4,731 (2.7) 1,618 (2.5) <0.001
Shock 4,418 (2.2) 3,235 (1.8) 1,112 (1.7) <0.001
VT/VF 13,908 (6.8) 5,424 (3.0) 957 (1.5) <0.001
NYHA functional class       <0.001
 Class II 63,002 (30.8) 50,883 (28.5) 15,930 (24.6)  
 Class III 77,383 (37.8) 69,353 (38.9) 24,703 (38.2)  
 Class IV 64,405 (31.4) 58,164 (32.6) 23,995 (37.1)  
Educational institute 164,285 (80.2) 141,991 (79.6) 51,257 (79.3) <0.001
Medications within 2 days after admission
 Orally administered
  β-blocker 78,959 (38.6) 54,843 (30.7) 14,584 (22.6) <0.001
  RAS inhibitor 83,754 (40.9) 63,220 (35.4) 19,384 (30.0) <0.001
   ACEI 38,071 (18.6) 25,622 (14.4) 8,019 (12.4) <0.001
   ARB 47,403 (23.1) 38,804 (21.8) 11,659 (18.0) <0.001
  MCR antagonist 71,847 (35.1) 55,015 (30.8) 18,753 (29.0) <0.001
 Intravenously administered
  Inotropic agent 40,501 (19.8) 28,807 (16.1) 8,928 (13.8) <0.001
  Nitrate 46,936 (22.9) 34,723 (19.5) 11,906 (18.4) <0.001
  Furosemide 132,567 (64.7) 124,149 (69.6) 47,956 (74.2) <0.001

Unless indicated otherwise, data are given as the median [interquartile range] or n (%). AThere were missing values for BMI (n=39,590). ACEI, angiotensin-converting enzyme inhibitor; ARB, angiotensin II receptor blocker; BMI, body mass index; MCR, mineralocorticoid receptor; NYHA, New York Heart Association; RAS, renin-angiotensin system; VT/VF, ventricular tachycardia/ventricular fibrillation.

Procedures and Outcomes During Hospitalization

Table 2 summarizes the procedures and outcomes for the study population. Invasive and advanced procedures, including implantable cardioverter defibrillator, cardiac resynchronization therapy, respiratory support, intubation, hemodialysis, intra-aortic balloon pumping, extracorporeal membrane oxygenation, and the use of inotropes, were rarely performed in patients aged ≥80 and ≥90 years. Infectious complications were frequently observed in patients aged ≥80 and ≥90 years. Patients with older age had a longer length of hospital stay and higher in-hospital mortality. Discharge disposition is also listed in Table 2. Most patients aged <80 years were discharged to their homes. Conversely, elderly patients were more likely to be transferred to nursing homes.

Table 2. Procedures and Outcomes for the Study Population
  Age (years) P-value
<80 (n=204,790) 80–89 (n=178,400) ≥90 (n=64,628)
Procedures
 ICD 706 (0.3) 113 (0.1) 2 (0.0) <0.001
 CRT 3,610 (1.8) 927 (0.5) 40 (0.1) <0.001
 Respiratory support 37,555 (18.3) 26,010 (14.6) 7,089 (11.0) <0.001
 Intubation 7,764 (3.8) 4,008 (2.2) 592 (0.9) <0.001
 Hemodialysis 8,298 (4.1) 2,844 (1.6) 243 (0.4) <0.001
 IABP 2,295 (1.1) 799 (0.4) 81 (0.1) <0.001
 ECMO 361 (0.2) 84 (0.0) 5 (0.0) <0.001
 Inotropic use 80,687 (39.4) 66,397 (37.2) 22,625 (35.0) <0.001
Outcomes
 Pneumonia 3,966 (1.9) 5,645 (3.2) 2,637 (4.1) <0.001
 Urinary tract infection 1,407 (0.7) 2,530 (1.4) 1,346 (2.1) <0.001
 Sepsis 994 (0.5) 1,077 (0.6) 440 (0.7) <0.001
 Deep vein thrombus 596 (0.3) 460 (0.3) 145 (0.2) 0.009
 Pulmonary embolism 163 (0.1) 163 (0.1) 35 (0.1) 0.017
 LOS (days) 16 [15] 18 [17] 18 [18] <0.001
 In-hospital death 8,056 (3.9) 14,280 (8.0) 8,486 (13.1) <0.001
Discharge disposition (excluding patients
who died in hospital)
      <0.001
 Home 180,482 (91.7) 134,215 (81.8) 39,043 (69.5)  
 Nursing home 2,217 (1.1) 9,469 (5.8) 8,000 (14.2)  
 Other hospital 13,305 (6.8) 19,703 (12.0) 8,722 (15.5)  
 Other or unknown 730 (0.4) 733 (0.4) 377 (0.7)  

Unless indicated otherwise, data are given as the median [interquartile range] or n (%). CRT, cardiac resynchronization therapy; ECMO, extracorporeal membrane oxygenation; ICD, implantable cardioverter defibrillator; IABP, intra-aortic balloon pump; LOS, length of hospital stay.

Effect of Age Category on In-Hospital Mortality

The multivariable logistic regression analysis fitted with a generalized estimating equation for in-hospital mortality showed that in-hospital mortality was higher in patients aged 80–89 and those aged ≥90 years than in those aged <80 years (Table 3).

Table 3. Results of the Multivariable Logistic Regression Fitted With a Generalized Estimating Equation for In-Hospital Mortality
  OR 95% CI P-value
Age (years)
 <80 Ref.    
 80–89 1.99 1.92–2.05 <0.001
 ≥90 3.23 3.09–3.38 <0.001
Sex
 Female Ref.    
 Male 1.10 1.07–1.13 <0.001
BMI (kg/m2) 0.94 0.94–0.95 <0.001
Hypertension 0.51 0.49–0.53 <0.001
Diabetes 1.03 1.00–1.06 0.027
Chronic renal failure 1.65 1.59–1.71 <0.001
Chronic liver disease 1.41 1.33–1.50 <0.001
Chronic respiratory disease 0.99 0.95–1.03 0.525
Atrial fibrillation 0.91 0.89–0.94 <0.001
Myocardial infarction 1.50 1.40–1.61 <0.001
Shock 3.24 2.93–3.59 <0.001
VT/VF 1.83 1.72–1.94 <0.001
NYHA functional class
 Class II Ref.    
 Class III 1.77 1.67–1.87 <0.001
 Class IV 3.89 3.62–4.18 <0.001
Educational institute 0.81 0.78–0.85 <0.001
Drugs administered within 2 days
 β-blocker 0.92 0.90–0.95 <0.001
 RAS inhibitor 0.62 0.59–0.64 <0.001
 MCR antagonist 0.81 0.79–0.84 <0.001
 Intravenous inotropic agent 2.27 2.18–2.37 <0.001
 Intravenous nitrate 0.63 0.60–0.66 <0.001
 Intravenous furosemide 1.12 1.08–1.16 <0.001

CI, confidence interval; OR, odds ratio. Other abbreviations as in Table 1.

Subgroup Analyses

The results of the subgroup analyses are shown in Figure 2. The proportion of elderly patients was higher among women than men (P<0.001; Figure 2A). The age distribution of HF patients differed among geographic regions (P<0.001; Figure 2B).

Figure 2.

Subgroup analysis of age distribution (A) between the sexes and (B) among geographic regions of Japan.

Discussion

The increase in the proportion of super-elderly patients with HF is associated with the rapid increase in the aging society. The percentage of the population aged ≥75 years in Japan increased from 8.6% in 2010 to 14.2% in 2018. It is estimated that there are approximately 1 million HF patients in Japan, and the number of patients with HF is predicted to increase and reach 1.3 million by 2030 in association with an aging society.15 Therefore, further increases in super-elderly patients hospitalized for HF are expected.

Similar trends have been observed in other countries. The mean (±SD) age of HF patients in The Swedish Heart Failure Registry was 76±12 years, and 37% of patients were aged ≥80 years.16 Similarly, the National Heart Failure Audit for England and Wales 2008–09 showed that median age of patients hospitalized for HF was 78 years, with more than half the patients aged ≥75 years.17 Therefore, an increase in elderly patients with HF is a critical issue not only in Japan, but also in most developed countries.

The findings of this study have clinical implications. Despite the rapid increase in the aged population in developed countries, limited information is available regarding the outcomes of super-elderly HF patients. The present study is the first to focus on super-elderly (age ≥90 years) HF patients using a nationwide large-scale database. Most previous studies defined “elderly” HF patients as those aged ≥80 years.68 However, considering that the median age of the present study population was 81 years, and that more than half the patients were aged ≥80 years, they could not be considered as specific subsets. In real-world clinical practice, HF patients aged ≥90 years are not rare; thus, revealing the presentations and outcomes of HF patients aged ≥90 years provides important information in the era of a super-aging society.

Subgroup analysis revealed that elderly patients were more likely to be female, and this finding is in accordance with findings from previous studies.7,8,11 Further, there was a significant geographic difference in the age distribution of HF patients. Geographic differences in the age of patients with HF among countries has been reported previously,18 and the results of the present study showed that there can also be a domestic regional difference in the age distribution of patients with HF.

Elderly patients had longer length of hospital stay than patients aged <80 years. However, the difference in length of hospital stay among the 3 groups was clinically not so large. It is assumed that the increase in elderly patients would contribute to longer hospital stays and result in an HF pandemic in acute care hospitals. However, based on the results of the present study, we cannot simply associate the longer hospital stay of HF patients with increased numbers of elderly HF patients. The length of hospital stay of patients with HF is longer in Japan than in other countries, and it is recognized as an important issue of the clinical setting in Japan.19,20 Conversely, the 30-day HF readmission rate is known to be lower in Japan (5%) than in the US (25%).21 There appears to be a trade-off between a longer hospital stay and hospital readmission. Both long hospital stays and repeated readmissions can be a significant burden for older patients. Well-balanced in-hospital management is particularly required for patients of older age.

In accordance with previous studies,68,10,11 in-hospital mortality in the present study was higher for patients of older age. Medications other than furosemide were less frequently used in patients of older age. Further, invasive procedures were less frequently performed in elderly HF patients. Avoiding intensive medical treatment and invasive procedures in elderly patients is sometimes reasonable. In addition, the latest guidelines indicate that several promising treatments are not indicated for patients with limited life expectancy.22,23 Therefore, we often hesitate to introduce invasive therapeutic options for patients of older age and with comorbidities in the real-world clinical setting. However, optimal indications for therapeutic options, including advanced procedures, in super-elderly patients need to be established because this subset of patients is expected to increase further. Given that infectious complications were more frequently observed in patients of older age, the importance of comprehensive management should also be noted. Simultaneously, palliative care is important for patients of older age.24,25 Although clinical evidence of palliative care for hospitalized HF patients is not yet established,26,27 Sidebottom et al reported that inpatient consultation by a palliative care team provided significant improvements in all patient-reported outcomes, including quality of life, for patients hospitalized for acute HF.26 Further, Rogers et al reported that an interdisciplinary palliative care intervention was associated with greater benefits in quality of life, anxiety, depression, and spiritual well-being than usual care alone in patients with advanced HF.28 We do believe that palliative care, including advance care planning, is required for patients of older age and with limited therapeutic options.

Regarding discharge disposition, more than 90% of patients aged <80 years were discharged to their homes, compared with <70% of patients aged ≥90 years; 14% of patients aged ≥90 years were transferred to nursing homes. These results suggest that social support and regional medical networks would be also important for elderly patients with HF.29 A multidisciplinary team approach is particularly required for super-elderly patients who have multiple comorbidities and complicated backgrounds.

This study has several limitations. Although we performed multivariable analysis using a generalized estimating equation, there could be residual bias. The validity of the diagnoses and procedures in the database we used has been reported to be high.30 However, recorded diagnoses are generally considered less well validated because of the nature of administrative data and retrospective studies. The DPC database lacked information on several factors that were potentially associated with outcomes, including blood pressure, HF etiology, and left ventricular ejection fraction.

Conclusions

Analysis of a nationwide database showed that the number of elderly patients hospitalized for HF, particularly super-elderly patients aged ≥90 years, was increasing and that in-hospital mortality was higher for these patients. An evidence-based approach for super-elderly HF patients should be established in the era of HF pandemic.

Sources of Funding

This work was supported by grants from the Ministry of Health, Labour and Welfare, Japan (19AA2007 and H30-Policy-Designated-004) and the Ministry of Education, Culture, Sports, Science and Technology, Japan (17H04141).

Disclosures

H. Kaneko and K.F. have received research funding and scholarship funds from Medtronic Japan, Abbott Medical Japan, Boston Scientific Japan, and Fukuda Denshi, Central Tokyo. I.K. is a member of Circulation Reports ’ Editorial Team.

IRB Information

This study was approved by the Institutional Review Board of The University of Tokyo [3501-(3)].

References
 
© 2020 THE JAPANESE CIRCULATION SOCIETY

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