Abstract 12535: Decreased Six-Minute Walk Distance at Hospital Discharge, Its Cut-off Value of 370 Meters, is an Independent Predictor for Poor Activities of Daily Living After Discharge in Elderly Patients With Chronic Heart Failure

Circulation ◽  
2014 ◽  
Vol 130 (suppl_2) ◽  
Author(s):  
Kohei Nozaki ◽  
Takashi Masuda ◽  
Kentaro Kamiya ◽  
Nobuaki Hamazaki ◽  
Ryota Matsuzawa ◽  
...  
Keyword(s):  
Heart Failure ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Elderly Patients ◽  
Hospital Discharge ◽  
Logistic Regression Analysis ◽  
Independent Predictor ◽  
Multivariate Logistic Regression Analysis ◽  
Quadriceps Strength ◽  
Minute Walk Distance

Background: Elderly patients with chronic heart failure (CHF) is well known to have poor activities of daily living (ADL) after hospital discharge because of their prolonged hospital stays and subsequent physical deconditioning. Although many studies demonstrated that decreased six-minute walk distance (6MWD) was an independent predictor of rehospitalization and mortality in them, the relationship between decreased 6MWD and poor ADL is not thoroughly evaluated. The purpose of this study was to investigate whether decreased 6MWD measured at hospital discharge reflected poor ADL after discharge in elderly patients with CHF. Methods: We recruited 290 patients, 179 males and 111 females, who were 65 years or more and admitted to our hospital because of first heart failure. We excluded the patients who had needed assistance with ADL or walking aid before admission. Plasma brain natriuretic peptide, left ventricular ejection fraction, 6MWD and motor functions including isometric quadriceps strength and one-leg standing time were measured at hospital discharge. ADL was evaluated using the performance measure for ADL-8 (PMADL-8) 3 months after discharge, while PMADL-8 score of 20 or more indicated poor ADL. To determine significant predictors affecting poor ADL and their cut-off values, a multivariate logistic regression analysis and the area under the receiver operating characteristics (ROC) curve were performed. Results: Patients’ mean age was 75.4 ± 6.4 years old and their mean PMADL-8 and 6MWD were 18.9 ± 5.9 points and 379 ± 109 meters, respectively. The univariate logistic regression analysis showed that age, 6MWD, quadriceps strength, one-leg standing time were significant predictors for PMADL-8 of ≥20 points (P<0.05, respectively). The multivariate logistic regression analysis detected only 6MWD as a significant and independent predictor for PMADL-8 of ≥20 points (P<0.001). The odds ratio of poor ADL was 1.16 (95% confidence interval: 1.10-1.25, P<0.001) with each 10-meter decrease of 6MWD. The ROC curve showed 370 meters as a cut-off value of 6MWD. Conclusions: Decreased 6MWD at hospital discharge was identified as an independent strong predictor for poor ADL after discharge in elderly patients with CHF, and its cut-off value was 370 meters.

Abstract 14891: Six-minute Walk Distance Predicts the Readmission due to Decompensated Heart Failure in Early Elderly and Late Elderly Patients With Chronic Heart Failure

Circulation ◽  
2015 ◽  
Vol 132 (suppl_3) ◽  
Author(s):  
Minoru Tabata ◽  
Michitaka Kato ◽  
Ryosuke Shimizu ◽  
Ayako Akiyama ◽  
Yumi Kamada ◽  
...  
Keyword(s):  
Heart Failure ◽  
Regression Analysis ◽  
Elderly Patients ◽  
Multivariate Logistic Regression Analysis ◽  
Decompensated Heart Failure ◽  
Elderly Group ◽  
Multivariate Logistic Regression ◽  
Walk Distance ◽  
Minute Walk Distance ◽  
Minute Walk

Background: Patients with chronic heart failure (CHF) are frequently readmitted to the hospital. Six-minute walk distance (6MWD) is a clinical measure to assess their exercise capacity and prognosis. However, few reports documented whether the 6MWD reflects the exercise capacity and prognosis in elderly CHF patients. Purpose: This study aimed to investigate whether the 6MWD measured at the hospital discharge predicted the readmission due to decompensated CHF in early elderly and late elderly CHF patients. Methods: Patients who were admitted to the hospital were prospectively followed up for 3 years after the discharge, if they had the first hospitalization due to CHF with NYHA III or IV. Consequently, we studied 177 patients (74±6 years, 112 males) and investigated their 6MWD at the discharge and readmission over 3 years. Patients were divided into 2 groups: early elderly group (65-74 years; n=108) and late elderly group (≥75 years; n=62). We determined significant factors affecting the readmission due to CHF and their cut-off values in the two groups using multivariate logistic regression analysis and the area under the receiver operating characteristics (ROC) curve. Results: 50 % of early elderly patients and 42 % of late elderly patients were readmitted within 3 year after the discharge. The multivariate logistic regression analysis detected the 6MWD at the discharge as a significant limiting factor for readmission in the two groups (P<0.001, respectively). The odds ratio of readmission with each 10-meter decrease of 6MWD and its cut-off value were 1.34 (P<0.001) and 405 meters for the early elderly group, and 1.37 (P<0.001) and 345 meters for late elderly group, respectively (Figure). Conclusion: This study demonstrated that the 6MWD was shown as a strong predictor for readmission due to decompensated heart failure in elderly patients with CHF. The predictive cut-off values of 6MWD were 405 and 345 meters in the early elderly and late elderly patients, respectively.

scholarly journals Transnasal Endoscopic Evaluation of Swallowing: A Bedside Technique to Evaluate Ability to Swallow Pureed Diets in Elderly Patients with Dysphagia

2013 ◽  
Vol 27 (8) ◽  
pp. 459-462 ◽  
Author(s):  
Torao Sakamoto ◽  
Akira Horiuchi ◽  
Yoshiko Nakayama
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Elderly Patients ◽  
Logistic Regression Analysis ◽  
Multivariate Logistic Regression Analysis ◽  
Multivariate Logistic Regression ◽  
Endoscopic Evaluation ◽  
Transnasal Endoscopy ◽  
Comorbid Diseases ◽  
Bedside Method

BACKGROUND: Endoscopic evaluation of swallowing (EES) is not commonly used by gastroenterologists to evaluate swallowing in patients with dysphagia.OBJECTIVE: To use transnasal endoscopy to identify factors predicting successful or failed swallowing of pureed foods in elderly patients with dysphagia.METHODS: EES of pureed foods was performed by a gastroenterologist using a small-calibre transnasal endoscope. Factors related to successful versus unsuccessful swallowing of pureed foods were analyzed with regard to age, comorbid diseases, swallowing activity, saliva pooling, vallecular residues, pharyngeal residues and airway penetration/aspiration. Unsuccessful swallowing was defined in patients who could not eat pureed foods at bedside during hospitalization. Logistic regression analysis was used to identify independent predictors of swallowing of pureed foods.RESULTS: During a six-year period, 458 consecutive patients (mean age 80 years [range 39 to 97 years]) were considered for the study, including 285 (62%) men. Saliva pooling, vallecular residues, pharyngeal residues and penetration/aspiration were found in 240 (52%), 73 (16%), 226 (49%) and 232 patients (51%), respectively. Overall, 247 patients (54%) failed to swallow pureed foods. Multivariate logistic regression analysis demonstrated that the presence of pharyngeal residues (OR 6.0) and saliva pooling (OR 4.6) occurred significantly more frequently in patients who failed to swallow pureed foods.CONCLUSIONS: Pharyngeal residues and saliva pooling predicted impaired swallowing of pureed foods. Transnasal EES performed by a gastroenterologist provided a unique bedside method of assessing the ability to swallow pureed foods in elderly patients with dysphagia.

scholarly journals Circulating miR-30d Predicts Survival in Patients with Acute Heart Failure

2017 ◽  
Vol 41 (3) ◽  
pp. 865-874 ◽  
Author(s):  
Junjie Xiao ◽  
Rongrong Gao ◽  
Yihua Bei ◽  
Qiulian Zhou ◽  
Yanli Zhou ◽  
...  
Keyword(s):  
Heart Failure ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Logistic Regression Analysis ◽  
Multivariate Logistic Regression Analysis ◽  
Multivariate Logistic Regression ◽  
Univariate Logistic Regression Analysis ◽  
Kaplan Meier ◽  
All Cause Mortality

Background/Aims: Identification of novel biomarkers to identify acute heart failure (AHF) patients at high risk of mortality is an area of unmet clinical need. Recently, we reported that the baseline level of circulating miR-30d was associated with left ventricular remodeling in response to cardiac resynchronization therapy in advanced chronic heart failure patients. However, the role of circulating miR-30d as a prognostic marker of survival in patients with AHF has not been explored. Methods: Patients clinically diagnosed with AHF were enrolled and followed up for 1 year. Quantitative reverse transcription polymerase chain reactions were used to determine serum miR-30d levels. The univariate logistic regression analysis and multivariate logistic regression analysis were used to determine the predictors for all-cause mortality in AHF patients. Kaplan–Meier survival analysis was used to analyze the role of miR-30d in prediction of survival. Results: A total of 96 AHF patients were enrolled and followed up for 1 year. Serum miR-30d was significantly lower in AHF patients who expired in the one year follow-up period compared to those who survived. Univariate logistic regression analysis yielded 18 variables that were associated with all-cause mortality in AHF patients, while the multivariate logistic regression analysis identified 4 variables including heart rate, hemoglobin, serum sodium, and serum miR-30d level associated with mortality. ROC curve analysis showed that hemoglobin, heart rate and serum sodium displayed poor prognostic value for AHF (AUCs not higher than 0.700) compared to miR-30d level (AUC = 0.806). Kaplan–Meier survival analysis confirmed that patients with higher serum miR-30d levels had significantly lower mortality (P=0.001). Conclusion: In conclusion, this study shows evidence for the predictive value of circulating miR-30d as 1-year all-cause mortality in AHF patients. Large multicentre studies are further needed to validate our findings and accelerate the transition to clinical utilization.

scholarly journals Predictive Value of Admission D-dimer for Contrast-induced Acute Kidney Injury and Poor Outcomes after Primary Percutaneous Coronary Intervention

2020 ◽  
Author(s):  
Kai-Yang Lin ◽  
Han-Chuan Chen ◽  
Hui Jiang ◽  
Sun-Ying Wang ◽  
Hong-mei Chen ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Serum Creatinine ◽  
Logistic Regression Analysis ◽  
Predictive Value ◽  
Independent Predictor ◽  
Multivariate Logistic Regression Analysis ◽  
Increased Risk ◽  
Long Term Mortality

Abstract Background DD was found to be associated with acute myocardial infarction (AMI) and renal insufficiency. However, it is uncertain whether DD is an independent risk factor of CI-AKI in patients undergoing pPCI. Methods We prospectively enrolled 550 consecutive patients with STEMI undergoing pPCI between January 2012 and December 2016. The predictive value of admission DD for CI-AKI was assessed by receiver operating characteristic(ROC) and multivariable logistic regression analysis. CI-AKI was defined as an absolute serum creatinine increase ≥0.3 mg/dl or a relative increase in serum creatinine ≥50% within 48 h of contrast medium exposure. Results Overall, the incidence of CI-AKI was 13.1%. The ROC analysis showed that the cutoff point of DD was 0.69 ug/ml for predicting CI-AKI with a sensitivity of 77.8% and a specificity of 57.3%. The predictive value of DD was similar to the Mehran score for CI-AKI (AUC DD =0.729 vs AUC Mehran =0.722; p =0.8298). Multivariate logistic regression analysis indicated that DD >0.69 ug/ml was an independent predictor of CI-AKI (odds ratio[OR]=3.37,95%CI:1.80-6.33, p <0.0001). Furthermore, DD >0.69 ug/ml was associated with an increased risk of long-term mortality during during a mean follow-up period of 16 months(hazard ratio=3.41, 95%CI:1.4-8.03, p =0.005). Conclusion admission DD >0.69 ug/ml is a significant and independent predictor of CI-AKI and long-term mortality in patients undergoing pPCI.

scholarly journals Predictive Value of Admission D-dimer for Contrast-induced Acute Kidney Injury and Poor Outcomes after Primary Percutaneous Coronary Intervention

2020 ◽  
Author(s):  
Kai-Yang Lin ◽  
Han-Chuan Chen ◽  
Hui Jiang ◽  
Sun-Ying Wang ◽  
Hong-mei Chen ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Serum Creatinine ◽  
Logistic Regression Analysis ◽  
Predictive Value ◽  
Independent Predictor ◽  
Multivariate Logistic Regression Analysis ◽  
Increased Risk ◽  
Long Term Mortality

Abstract Background DD was found to be associated with acute myocardial infarction (AMI) and renal insufficiency. However, it is uncertain whether DD is an independent risk factor of CI-AKI in patients undergoing pPCI. Methods We prospectively enrolled 550 consecutive patients with STEMI undergoing pPCI between January 2012 and December 2016. The predictive value of admission DD for CI-AKI was assessed by receiver operating characteristic(ROC) and multivariable logistic regression analysis. CI-AKI was defined as an absolute serum creatinine increase ≥0.3 mg/dl or a relative increase in serum creatinine ≥50% within 48 h of contrast medium exposure. Results Overall, the incidence of CI-AKI was 13.1%. The ROC analysis showed that the cutoff point of DD was 0.69 ug/ml for predicting CI-AKI with a sensitivity of 77.8% and a specificity of 57.3%. The predictive value of DD was similar to the Mehran score for CI-AKI (AUC DD =0.729 vs AUC Mehran =0.722; p =0.8298). Multivariate logistic regression analysis indicated that DD >0.69 ug/ml was an independent predictor of CI-AKI (odds ratio[OR]=3.37,95%CI:1.80-6.33, p <0.0001). Furthermore, DD >0.69 ug/ml was associated with an increased risk of long-term mortality during during a mean follow-up period of 16 months(hazard ratio=3.41, 95%CI:1.4-8.03, p =0.005). Conclusion admission DD >0.69 ug/ml is a significant and independent predictor of CI-AKI and long-term mortality in patients undergoing pPCI.

scholarly journals Predictive Value of Admission D-dimer for Contrast-induced Acute Kidney Injury and Poor Outcomes after Primary Percutaneous Coronary Intervention

2020 ◽  
Author(s):  
Kai-Yang Lin ◽  
Han-Chuan Chen ◽  
Hui Jiang ◽  
Sun-Ying Wang ◽  
Hong-mei Chen ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Serum Creatinine ◽  
Logistic Regression Analysis ◽  
Predictive Value ◽  
Independent Predictor ◽  
Multivariate Logistic Regression Analysis ◽  
Increased Risk ◽  
Long Term Mortality

Abstract Background DD was found to be associated with acute myocardial infarction (AMI) and renal insufficiency. However, it is uncertain whether DD is an independent risk factor of CI-AKI in patients undergoing pPCI. Methods We prospectively enrolled 550 consecutive patients with STEMI undergoing pPCI between January 2012 and December 2016. The predictive value of admission DD for CI-AKI was assessed by receiver operating characteristic(ROC) and multivariable logistic regression analysis. CI-AKI was defined as an absolute serum creatinine increase ≥0.3 mg/dl or a relative increase in serum creatinine ≥50% within 48 h of contrast medium exposure. Results Overall, the incidence of CI-AKI was 13.1%. The ROC analysis showed that the cutoff point of DD was 0.69 ug/ml for predicting CI-AKI with a sensitivity of 77.8% and a specificity of 57.3%. The predictive value of DD was similar to the Mehran score for CI-AKI (AUC DD =0.729 vs AUC Mehran =0.722; p =0.8298). Multivariate logistic regression analysis indicated that DD >0.69 ug/ml was an independent predictor of CI-AKI (odds ratio[OR]=3.37,95%CI:1.80-6.33, p <0.0001). Furthermore, DD >0.69 ug/ml was associated with an increased risk of long-term mortality during during a mean follow-up period of 16 months(hazard ratio=3.41, 95%CI:1.4-8.03, p =0.005). Conclusion admission DD >0.69 ug/ml is a significant and independent predictor of CI-AKI and long-term mortality in patients undergoing pPCI.

scholarly journals Predictive Value of Admission D-dimer for Contrast-induced Acute Kidney Injury and Poor Outcomes after Primary Percutaneous Coronary Intervention

2019 ◽  
Author(s):  
Kai-Yang Lin ◽  
Han-Chuan Chen ◽  
Hui Jiang ◽  
Sun-Ying Wang ◽  
Hong-mei Chen ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Serum Creatinine ◽  
Logistic Regression Analysis ◽  
Predictive Value ◽  
Independent Predictor ◽  
Multivariate Logistic Regression Analysis ◽  
Increased Risk ◽  
Long Term Mortality

Abstract Background DD was found to be associated with acute myocardial infarction (AMI) and renal insufficiency. However, it is uncertain whether DD is an independent risk factor of CI-AKI in patients undergoing pPCI.Methods We prospectively enrolled 550 consecutive patients with STEMI undergoing pPCI between January 2012 and December 2016. The predictive value of admission DD for CI-AKI was assessed by receiver operating characteristic(ROC) and multivariable logistic regression analysis. CI-AKI was defined as an absolute serum creatinine increase ≥0.3 mg/dl or a relative increase in serum creatinine ≥50% within 48 h of contrast medium exposure.Results Overall, the incidence of CI-AKI was 13.1%. The ROC analysis showed that the cutoff point of DD was 0.69 ug/ml for predicting CI-AKI with a sensitivity of 77.8% and a specificity of 57.3%. The predictive value of DD was similar to the Mehran score for CI-AKI (AUC DD =0.729 vs AUC Mehran =0.722; p =0.8298). Multivariate logistic regression analysis indicated that DD >0.69 ug/ml was an independent predictor of CI-AKI (odds ratio[OR]=3.37,95%CI:1.80-6.33, p <0.0001). Furthermore, DD >0.69 ug/ml was associated with an increased risk of long-term mortality during during a mean follow-up period of 16 months(hazard ratio=3.41, 95%CI:1.4-8.03, p =0.005).Conclusion admission DD >0.69 ug/ml is a significant and independent predictor of CI-AKI and long-term mortality in patients undergoing pPCI.

scholarly journals Predictive Value of Admission D-dimer for Contrast-induced Acute Kidney Injury and Poor Outcomes after Primary Percutaneous Coronary Intervention

2020 ◽  
Author(s):  
Kai-Yang Lin ◽  
Han-Chuan Chen ◽  
Hui Jiang ◽  
Sun-Ying Wang ◽  
Hong-mei Chen ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Serum Creatinine ◽  
Logistic Regression Analysis ◽  
Predictive Value ◽  
Independent Predictor ◽  
Multivariate Logistic Regression Analysis ◽  
Increased Risk ◽  
Long Term Mortality

Abstract Background DD was found to be associated with acute myocardial infarction (AMI) and renal insufficiency. However, it is uncertain whether DD is an independent risk factor of CI-AKI in patients undergoing pPCI.Methods We prospectively enrolled 550 consecutive patients with STEMI undergoing pPCI between January 2012 and December 2016. The predictive value of admission DD for CI-AKI was assessed by receiver operating characteristic(ROC) and multivariable logistic regression analysis. CI-AKI was defined as an absolute serum creatinine increase ≥0.3 mg/dl or a relative increase in serum creatinine ≥50% within 48 h of contrast medium exposure.Results Overall, the incidence of CI-AKI was 13.1%. The ROC analysis showed that the cutoff point of DD was 0.69 ug/ml for predicting CI-AKI with a sensitivity of 77.8% and a specificity of 57.3%. The predictive value of DD was similar to the Mehran score for CI-AKI (AUC DD =0.729 vs AUC Mehran =0.722; p =0.8298). Multivariate logistic regression analysis indicated that DD >0.69 ug/ml was an independent predictor of CI-AKI (odds ratio[OR]=3.37,95%CI:1.80-6.33, p <0.0001). Furthermore, DD >0.69 ug/ml was associated with an increased risk of long-term mortality during during a mean follow-up period of 16 months(hazard ratio=3.41, 95%CI:1.4-8.03, p =0.005).Conclusion admission DD >0.69 ug/ml is a significant and independent predictor of CI-AKI and long-term mortality in patients undergoing pPCI.

The association between hypoglycemia and glycemic variability in elderly patients with type 2 diabetes: cross-sectional study

2020 ◽  
Author(s):  
Takahisa Handa ◽  
Akinobu Nakamura ◽  
Aika Miya ◽  
Hiroshi Nomoto ◽  
Hiraku Kameda ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Elderly Patients ◽  
Logistic Regression Analysis ◽  
Roc Curve ◽  
Multivariate Logistic Regression Analysis ◽  
Glycemic Variability ◽  
Multivariate Logistic Regression

Abstract BackgroundThis study aimed to explore predictive factors of time below target glucose range (TBR) ≥ 1% among patients’ characteristics and glycemic variability (GV) indices using continuous glucose monitoring data in elderly patients with type 2 diabetes.MethodsWe conducted a prospective observational study on 179 (71 female) Japanese outpatients with type 2 diabetes aged ≥ 65 years. The characteristics of the participants with TBR ≥ 1% were evaluated by multivariate logistic regression analysis. Receiver-operating characteristic (ROC) curve analyses of GV indices, comprising coefficient of variation (CV), standard deviation, and mean amplitude of glycemic excursions, were performed to identify the optimal index for the identification of patients with TBR ≥ 1%.ResultsIn the multivariate logistic regression analysis, none of the clinical characteristics, including HbA1c and C-peptide index, were independent markers for TBR ≥ 1%, while all three GV indices showed significant associations with TBR ≥ 1%. Among the three GV indices, CV showed the best performance based on the area under the curve in the ROC curve analyses.ConclusionsAmong elderly patients with type 2 diabetes, CV reflected TBR ≥ 1% most appropriately among the GV indices examined.Trial registration: UMIN-CTR: UMIN000029993. Registered 16 November 2017

P2635Prevalence of appropriate treatment in elderly heart failure patients and impact on clinical outcomes: a subgroup analysis from REPOSI registry

2019 ◽  
Vol 40 (Supplement_1) ◽  
Author(s):  
M Proietti ◽  
A M Marra ◽  
A Salzano ◽  
G F Romiti ◽  
P M Mannucci ◽  
...  
Keyword(s):  
Heart Failure ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Elderly Patients ◽  
Hospital Admission ◽  
Clinical Outcomes ◽  
Logistic Regression Analysis ◽  
Appropriate Treatment ◽  
Key Factor

Abstract Introduction Therapeutic appropriateness in chronic diseases is a key factor in obtaining better clinical outcomes over clinical follow-up, in particular in elderly patients. Data about therapeutic appropriateness in elderly patients with heart failure (HF) are scarce. Purpose To describe the prevalence of appropriate treatment in elderly HF patients and its impact on clinical outcomes. Methods REgistro POliterapie SIMI (REPOSI) cohort was used to assess study aims. REPOSI is an Italian Nationwide Registry of elderly (≥65 years) hospitalized patients in Internal Medicine and Geriatric wards. HF diagnosis was assessed at hospital admission according to ICD-9 code 428.XX. Therapeutic appropriateness was defined according to International Guidelines. Results Among the 7003 patients originally enrolled, a total of 1095 (15.6%) patients reported a diagnosis of HF at hospital admission. At admission, 230 (21.0%) patients were considered as treated appropriately, with 245 (22.4%) treated appropriately during hospitalization and 249 (22.7%) at discharge (p=0.0.248). Focusing on patients aged ≥80 years, prevalence of appropriate treatment was respectively: 18.9% at admission, 20.3% during hospitalization and 21.0% at discharge (p=0.266). Among the 1095 patients with HF, 815 (74.4%) had available follow-up data. Patients appropriately treated at discharge, compared to those not treated appropriately, had a lower rate of CV death (5.1% vs. 11.9%, p=0.006) and all-cause death (7.2% vs. 26.1%, p<0.001) during follow-up, with no difference in rates of rehospitalization and CV rehospitalization. A logistic regression analysis adjusted for age, sex, risk factors, comorbidities and polypharmacy, showed that appropriate therapy at discharge was inversely associated with the risk of CV death and all-cause death (Table). In patients ≥80 years, appropriate HF treatment was inversely associated with risk of all-cause death (Table). Logistic Regression Analysis All Patients ≥80 years OR (95% CI) OR (95% CI) CV Death 0.46 (0.23–0.94) 0.59 (0.26–1.36) All-Cause Death 0.26 (0.14–0.46) 0.27 (0.14–0.53) CI = Confidence Interval; CV = Cardiovascular; OR = Odds Ratio. Conclusions In elderly hospitalized HF patients, prevalence of therapeutic appropriateness was consistently low at admission, during hospitalization and at discharge, particularly in patients ≥80 years. Appropriate HF therapy was inversely associated with the risk of CV death and all-cause death in all patients and with the risk of all-cause death in patients ≥80 years. Acknowledgement/Funding None

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