Barthel Index as a Predictor of 1-Year Mortality in Very Elderly Patients Who Underwent Percutaneous Coronary Intervention for Acute Coronary Syndrome: Better Activities of Daily Living, Longer Life

Impact of the Barthel Index Score and Prognosis on Patients Undergoing Transcatheter Aortic Valve Replacement and Surgical Aortic Valve Replacement

BACKGROUND

Few studies have compared the Barthel Index (BI) score and postoperative outcomes of transcatheter aortic valve replacement (TAVR) and surgical aortic valve replacement (SAVR). We aimed to examine the relationship between the BI score and postoperative outcomes in patients who underwent TAVR and SAVR.

METHODS AND RESULTS

The study included patients who underwent SAVR between January 2014 and December 2022 (n=293) and patients who underwent TAVR between January 2016 and December 2022 (n=312). We examined the risk factors for long-term mortality in the 2 groups. The mean (±SD) preoperative BI score was 88.7±18.0 in the TAVR group and 95.8±12.3 in the SAVR group. The home discharge rate was significantly lower in the SAVR than TAVR group. The BI score at discharge was significantly higher in the SAVR than in TAVR group (86.2 vs. 80.2; P<0.001). Significant risk factors for long-term mortality in the TAVR group were sex (P<0.001) and preoperative hemoglobin level (P=0.008), whereas those in the SAVR group were preoperative albumin level (P=0.04) and postoperative BI score (P=0.02). The cut-off point of the postoperative BI score determined by receiver operating characteristic curve analysis was 60.0.

CONCLUSIONS

The BI score at discharge was a significant risk factor for long-term mortality in the SAVR group, with a cut-off value of 60.0.

Development and validation of prognostic machine learning models for short- and long-term mortality among acutely admitted patients based on blood tests

Several scores predicting mortality at the emergency department have been developed. However, all with shortcomings either simple and applicable in a clinical setting, with poor performance, or advanced, with high performance, but clinically difficult to implement. This study aimed to explore if machine learning algorithms could predict all-cause short- and long-term mortality based on the routine blood test collected at admission.

METHODS

We analyzed data from a retrospective cohort study, including patients > 18 years admitted to the Emergency Department (ED) of Copenhagen University Hospital Hvidovre, Denmark between November 2013 and March 2017. The primary outcomes were 3-, 10-, 30-, and 365-day mortality after admission. PyCaret, an automated machine learning library, was used to evaluate the predictive performance of fifteen machine learning algorithms using the area under the receiver operating characteristic curve (AUC).

RESULTS

Data from 48,841 admissions were analyzed, of these 34,190 (70%) were randomly divided into training data, and 14,651 (30%) were in test data. Eight machine learning algorithms achieved very good to excellent results of AUC on test data in a of range 0.85-0.93. In prediction of short-term mortality, lactate dehydrogenase (LDH), leukocyte counts and differentials, Blood urea nitrogen (BUN) and mean corpuscular hemoglobin concentration (MCHC) were the best predictors, whereas prediction of long-term mortality was favored by age, LDH, soluble urokinase plasminogen activator receptor (suPAR), albumin, and blood urea nitrogen (BUN).

CONCLUSION

The findings suggest that measures of biomarkers taken from one blood sample during admission to the ED can identify patients at high risk of short-and long-term mortality following emergency admissions.

Effect of in-patient cardiac rehabilitation at rehabilitation hospital for cardiology patients: two-center trial

The effectiveness of cardiac rehabilitation (CR) in patients with cardiovascular disease requiring continuous CR from an acute care hospital to a convalescent rehabilitation hospital is unknown. Therefore, we compared the effect of CR in a rehabilitation hospital for patients with cardiovascular disease with that of those who underwent cardiovascular surgery. Sixty-nine consecutive patients were admitted to two rehabilitation hospitals for CR. Patients were classified by primary disease into two groups: patients with cardiovascular disease (cardiology group, 26 patients) and patients who underwent cardiovascular surgery (surgery group, 43 patients). Clinical information, physical function, cognitive function, activities of daily living (ADL), quality of life (QOL), amount of CR, and length of hospital stay were compared between the two groups. Compared with clinical features, age was significantly higher in the cardiology group (P < 0.001), and the preadmission Barthel index was significantly lower in the cardiology group (P = 0.025). Physical function at the time of transfer was significantly lower in the cardiology group than in the surgery group for the short physical performance battery (P < 0.001), gait speed (P = 0.005), and 6-min walking distance (P = 0.042). No significant difference was found in the amount of CR performed or the length of hospital stay, and no interaction effects were observed in improvements in physical function, exercise tolerance, or QOL. In conclusion, in rehabilitation hospitals, patients with cardiovascular disease were older, had lower preadmission ADL, and had lower a physical function at transfer than those who underwent cardiovascular surgery, but CR improved physical function and QOL to the same extent. The results suggest that the recovery of patients with cardiovascular disease may be similar to those who undergo cardiovascular surgery.

A Higher Postoperative Barthel Index at Discharge is Associated with a Lower One-Year Mortality After Hip Fracture Surgery for Geriatric Patients: A Retrospective Case‒Control Study

Purpose

To evaluate the relationship between the postoperative Barthel index assessing activities of daily living at discharge and the one-year mortality after hip fracture surgery.

Methods

Patients with hip fracture admitted to Peking University First Hospital from January 2015 to January 2020 were enrolled retrospectively according to the inclusion and exclusion criteria. The Barthel index and other related confounding variables were collected. Logistic regression and Kaplan‒Meier survival curves were constructed to explore the relationship between the postoperative Barthel index at discharge and the one-year mortality of geriatric patients after hip fracture surgery.

Results

A total of 444 patients with a mean age of 81.61±6.14 years were included. A significant difference was not observed in the preoperative Barthel index at admission between the deceased group and the surviving group (38.90±15.83 vs 36.96±10.74, p=0.446). However, the difference in the postoperative Barthel index at discharge between these two groups was statistically significant (43.08±14.40 vs 53.18±13.43, P<0.001). The multivariable logistic regression analysis revealed that the postoperative Barthel index at discharge was an independent risk factor for one-year mortality after adjustment for confounding variables (adjusted OR 0.73, 95% CI 0.55-0.98, p˂0.05). The Kaplan‒Meier survival curve showed that patients who had a high Barthel index (≥50) at discharge had a significantly lower mortality in the long term than patients with a low Barthel index (<50) at discharge (P< 0.001).

Conclusion

The postoperative Barthel index at discharge was independently associated with the one-year mortality of geriatric patients after hip fracture surgery. A higher postoperative Barthel index at discharge indicated a lower mortality after hip fracture surgery. The Barthel index at discharge has the potential to provide essential prognostic information for early risk stratification and directing future care.

Association between postoperative delirium and heart rate variability in the intensive care unit and readmissions and mortality in elderly patients with cardiovascular surgery

This study aimed to investigate the relationship between heart rate variability (HRV), a parameter of the autonomic nervous system activity (ANSA), and postoperative delirium and postoperative events. This retrospective cohort study included elderly patients aged 65 years or older who were admitted to the intensive care unit (ICU) after cardiovascular surgery. ANSA was measured using HRV parameters for 1 h at daytime and 1 h at night-time before ICU discharge. The primary endpoint was the effect of HRV parameters and delirium on mortality and readmission rates within 1 year after discharge, and the secondary endpoint was the association between HRV parameters and delirium. Cox proportional hazards models were used to examine the association between HRV parameters and postoperative events by adjusting for delirium and pre and postoperative information. A total of 71 patients, 39 without delirium and 32 with delirium, met the inclusion criteria. The incidence of death and readmission within 1 year was significantly higher in the delirium group and in the group with higher daytime HF (high frequency power) and r-MSSD (square root of the squared mean of the difference of successive NN intervals), parameters of the parasympathetic nervous system activity (PNSA), than that in other groups. Furthermore, the delirium group had significantly higher HF and r-MSSD than the nondelirium group. Even after adjusting for confounding factors in the multivariate analysis, a trend of higher daytime HF and r-MSSD was observed, indicating a significant effect on the occurrence of combined events within 1 year of discharge. ICU delirium has been associated with higher daytime HF and r-MSSD, parameters of PNSA. ICU delirium was a prognostic factor, and increased daytime PNSA may worsen the prognosis of elderly patients after cardiovascular surgery.

Combination of the Barthel Index at Discharge with GRACE Leads to Improved One-Year Mortality Prediction in Older Patients with Acute Myocardial Infarction

Purpose

Many older patients with acute myocardial infarction (AMI) have impaired ability for activities of daily living (ADL). Impaired ADL leads to poor prognosis in elderly patients. The Global Registry of Acute Coronary Events (GRACE) score is widely used for risk stratification in AMI patients but does not consider physical performance, which is an important prognosis predictor for older adults. This study assessed whether the Barthel Index (BI) score combine the GRACE score would achieve improved one-year mortality prediction in older AMI patients.

Patients and Methods

This single-center retrospective study included 688 AMI patients aged ≥65 years who were divided into an impaired ADL group (BI ≤60, n = 102) and a normal ADL group (BI >60, n = 586) based on BI scores at discharge. The participants were followed up for one year. Cox survival models were constructed for BI score, GRACE score, and BI score combined GRACE score for one-year mortality prediction.

Results

Patients had a mean age of 76.29 ± 7.42 years, and 399 were men (58%). A lower BI score was associated with more years of hypertension and diabetes, less revascularization, longer hospital stays, and higher one-year mortality after discharge. Multivariable Cox regression analysis identified BI as a significant risk factor for one-year mortality in older AMI patients (HR 0.977, 95% CI, 0.963-0.992, P = 0.002). BI (0.774, 95% CI: 0.731-0.818) and GRACE (0.758, 95% CI: 0.704-0.812) scores had similar predictive power, but their combination outperformed either score alone (0.810, 95% CI: 0.770-0.851).

Conclusion

BI at discharge is a significant risk factor for one-year mortality in older AMI patients, which can be better predicted by the combination of BI and GRACE scores.

Sex Differences in the Burden of Hip Fractures on Functional Status in Older Age

Background: Hip fractures can dramatically impact the health and self-sufficiency of older people. We investigated the influence of pre-fracture functional status on functional decline and mortality after hip fracture, and possible sex differences in this regard. Materials and Methods: The sample comprised 288 older patients hospitalized with hip fracture in an Orthogeriatric Unit. Data on perioperative management and multidimensional evaluation were collected. After 15 months, we obtained information on housing arrangements, new falls, walking level, and self-sufficiency (Barthel Index [BI]) through outpatient visits or phone interviews. Data on re-hospitalizations and deaths were obtained from hospital records. Results: The sample median age was 87 years, and 75% were women. The median pre-fracture BI was 75 (interquartile range [IQR]: 50, 100), and at follow-up it decreased by a median of 20 (IQR: 40, -5) points. Sex differences emerged among those with the highest pre-fracture functional status (BI ≥85), with women showing lower BI loss than men (-15 [IQR: -40, 0] vs. -30 [IQR: -80, -15], respectively; p = 0.04). A pre-fracture BI ≥85 (vs. <85) was associated with a 41% lower mortality rate (95% confidence interval [95% CI]: 0.21-0.79), especially in women (hazard ratios = 0.28, 95% CI: 0.11-0.69). Moreover, male sex was an independent risk factor for functional loss after a hip fracture (odds ratio = 2.52, 95% CI: 1.09-5.80). Conclusions: Older men may have a worse functional prognosis than women after a hip fracture. This difference seemed to be exacerbated in cases of high pre-fracture functional performance, suggesting that females have a greater functional reserve, namely better adaptation and recovery strategies to deal with the fracture. Clinical Trial Registration: Registration code: NCT02687698.

Evaluation of risk stratification program based on trajectories of functional capacity in patients with acute coronary syndrome: The REACP study

Background

As a validated assessment tool for functional disability (activities of daily living), the Barthel index (BI) assessed initially at admission has the potential to stratify patients with high-risk acute coronary syndrome (ACS). Dynamic trajectory evaluation of functional capacity in hospitals may provide more prognostic information. We aimed to establish a novel dynamic BI-based risk stratification program (DBRP) during hospitalization to predict outcomes among ACS patients.

Methods

A total of 2,837 ACS patients were included from the Retrospective Multicenter Study for Early Evaluation of Acute Chest Pain. The DBRP rating (low, medium, and high-risk categories) was calculated from dynamic BI at admission and discharge. The primary outcome was all-cause mortality, and the secondary outcome was cardiac mortality.

Results

Of all the included patients, 312 (11%) died during a median follow-up period of 18.0 months. Kaplan-Meier analysis revealed that the cumulative mortality was significantly higher in patients in the higher risk category according to the DBRP. Multivariable Cox regression analysis indicated that, compared to the low-risk category, the higher risk category in the DBRP was an independent strong predictor of all-cause mortality after adjusting for confounding factors (medium-risk category: hazard ratio [HR]: 1.756, 95% confidence interval [95% CI]: 1.214-2.540; P = 0.003; high-risk category: HR: 5.052, 95% CI: 3.744-6.817; P < 0.001), and the same result was found for cardiac mortality.

Conclusion

The DBRP was a useful risk stratification tool for the early dynamic assessment of patients with ACS.

Clinical trial registration

[http://www.chictr.org.cn], identifier [ChiCTR1900024657].

What is the optimal nutritional assessment tool for predicting decline in the activity of daily living among older patients with heart failure?

The clinical importance of nutritional management in activities of daily living (ADL) among older inpatients with heart failure (HF) is greatly increasing. We determined the optimal nutritional assessment tool that can predict ADL decline among older inpatients with HF. We prospectively investigated 91 inpatients aged ≥ 65 years with HF in an acute hospital. We measured their nutritional status at admission using nutrition indices: the controlling nutritional status (CONUT), the geriatric nutritional risk index, the prognostic nutritional index, and the mini nutritional assessment. Logistic regression analysis was used to estimate the odds ratios (ORs) and 95% confidence intervals (CIs) of the relationships between the malnutrition status assessed by each nutritional index category and the ADL decline measured by the Barthel index (BI) in the univariate and multivariate analyses. Among the participants, 28.6% (n = 26; median age 81.5 years; 69.2% men) of the participants were included in the Reduced BI group and 71.4% (n = 65; median age 79.0 years; 67.7% men) in the Maintained BI group. The Reduced BI group showed a significantly higher CONUT value than the Maintained BI group, but there were no significant differences in other nutritional indices. In the multivariate logistic regression analysis, a higher CONUT score was associated with a significantly elevated risk of Reduced BI (adjusted OR 0.24; 95%CI 0.08-0.75; p = 0.014). We found that CONUT is an appropriate nutritional assessment tool for predicting ADL decline among older inpatients with HF in the early phase of hospitalization.

Comparison of Machine Learning Techniques for Mortality Prediction in a Prospective Cohort of Older Adults

As global demographics change, ageing is a global phenomenon which is increasingly of interest in our modern and rapidly changing society. Thus, the application of proper prognostic indices in clinical decisions regarding mortality prediction has assumed a significant importance for personalized risk management (i.e., identifying patients who are at high or low risk of death) and to help ensure effective healthcare services to patients. Consequently, prognostic modelling expressed as all-cause mortality prediction is an important step for effective patient management. Machine learning has the potential to transform prognostic modelling. In this paper, results on the development of machine learning models for all-cause mortality prediction in a cohort of healthy older adults are reported. The models are based on features covering anthropometric variables, physical and lab examinations, questionnaires, and lifestyles, as well as wearable data collected in free-living settings, obtained for the "Healthy Ageing Initiative" study conducted on 2291 recruited participants. Several machine learning techniques including feature engineering, feature selection, data augmentation and resampling were investigated for this purpose. A detailed empirical comparison of the impact of the different techniques is presented and discussed. The achieved performances were also compared with a standard epidemiological model. This investigation showed that, for the dataset under consideration, the best results were achieved with Random UnderSampling in conjunction with Random Forest (either with or without probability calibration). However, while including probability calibration slightly reduced the average performance, it increased the model robustness, as indicated by the lower 95% confidence intervals. The analysis showed that machine learning models could provide comparable results to standard epidemiological models while being completely data-driven and disease-agnostic, thus demonstrating the opportunity for building machine learning models on health records data for research and clinical practice. However, further testing is required to significantly improve the model performance and its robustness.

Effect of pulmonary training for community‐dwelling frail older adults with chronic stroke: A randomized controlled pilot trial

Background

Decreased pulmonary function and poor deglutition are a major risk factor for poststroke aspiration pneumonia. We analyzed the benefits of pulmonary training on pulmonary function, deglutition, and quality of life (QOL) in community‐dwelling, frail elderly people with chronic stroke.

Method

This study was designed as an open, randomized, controlled pilot trial. The participants, who were frail older adults with a history of stroke, were randomized to 2 rehabilitation groups: intervention group (n = 15) and control (n = 15). All participants (65–94 years) attended twelve 20‐min sessions twice a week for 6 weeks of either standard rehabilitation (control group) or standard rehabilitation with pulmonary training including home pulmonary exercise (intervention group). The main outcome measures were pulmonary function (%MIP), deglutition (DRACE), and QOL (SF8･PCS), while secondary outcomes were muscle strength (grip and abdominal), thorax flexibility, 6‐min walk distance, and activities in daily living. All outcomes were measured both prior to training and after the 12 sessions.

Results

The intervention group showed significant improvement in %MIP (95% CI, 2.9–31.6; p < 0.01), DRACE (95% CI, −4.1–0.1; p < 0.01), and SF8･PCS (95% CI, 2.5–7.2; p < 0.01) compared with controls. There were no cognitive function decline and higher brain dysfunction.

Conclusions

These results suggest that the addition of pulmonary training including home pulmonary exercise to a standard rehabilitation program could improve pulmonary function, deglutition, and QOL in frail elderly people with chronic stroke.

Different Impact of Beta-Blockers on Long-Term Mortality in Heart Failure Patients with and without Chronic Obstructive Pulmonary Disease

The administration of beta-blockers is challenging and their efficacy is unclear in heart failure (HF) patients with chronic obstructive pulmonary disease (COPD). This study aimed to investigate the association of beta-blockers with mortality in such patients. This multicenter observational cohort study included hospitalized HF patients with a left ventricular ejection fraction <50% and evaluated them retrospectively. COPD was diagnosed based on medical records and/or the clinical judgment of each investigator. The study endpoints were two-year all-cause, cardiac, and non-cardiac mortality. This study included 83 patients with COPD and 1760 patients without. Two-year all-cause, cardiac, and non-cardiac mortality were observed in 315 (17%), 149 (8%), and 166 (9%) patients, respectively. Beta-blockers were associated with lower all-cause mortality regardless of COPD (COPD: hazard ratio [HR] 0.39, 95% CI 0.16–0.98, p = 0.044; non-COPD: HR 0.62, 95% CI 0.46–0.83, p = 0.001). This association in HF patients with COPD persisted after multivariate analysis and inverse probability weighting and was due to lower non-cardiac mortality (HR 0.40, 95% CI 0.14–1.18. p = 0.098), not cardiac mortality (HR 0.37, 95% CI 0.07–2.01, p = 0.248). Beta-blockers were associated with lower all-cause mortality in HF patients with COPD due to lower non-cardiac mortality. This may reflect selection biases in beta-blocker prescription.

Hyperglycemia at admission, comorbidities, and in-hospital mortality in elderly patients hospitalized in internal medicine wards: data from the RePoSI Registry

AIMS

The association between hyperglycemia at hospital admission and relevant short- and long-term outcomes in elderly population is known. We assessed the effects on mortality of hyperglycemia, disability, and multimorbidity at admission in internal medicine ward in patients aged ≥ 65 years.

METHODS

Data were collected from an active register of 102 internal medicine and geriatric wards in Italy (RePoSi project). Patients were recruited during four index weeks of a year. Socio-demographic data, reason for hospitalization, diagnoses, treatment, severity and comorbidity indexes (Cumulative Illness rating Scale CIRS-SI and CIRS-CI), renal function, functional (Barthel Index), and cognitive status (Short Blessed Test) and mood disorders (Geriatric Depression Scale) were recorded. Mortality rates were assessed in hospital 3 and 12 months after discharge.

RESULTS

Of the 4714 elderly patients hospitalized, 361 had a glycemia level ≥ 250 mg/dL at admission. Compared to subjects with lower glycemia level, patients with glycemia ≥ 250 mg/dL showed higher rates of male sex, smoke and class III obesity. These patients had a significantly lower Barthel Index (p = 0.0249), higher CIRS-SI and CIRS-CI scores (p = 0.0025 and p = 0.0013, respectively), and took more drugs. In-hospital mortality rate was 9.2% and 5.1% in subjects with glycemia ≥ 250 and < 250 mg/dL, respectively (p = 0.0010). Regression analysis showed a strong association between in-hospital death and glycemia ≥ 250 mg/dL (OR 2.07; [95% CI 1.34-3.19]), Barthel Index ≤ 40 (3.28[2.44-4.42]), CIRS-SI (1.87[1.27-2.77]), and male sex (1.54[1.16-2.03]).

CONCLUSIONS

The stronger predictors of in-hospital mortality for older patients admitted in general wards were glycemia level ≥ 250 mg/dL, Barthel Index ≤ 40, CIRS-SI, and male sex.

Decreased activities of daily living at discharge predict mortality and readmission in elderly patients after cardiac and aortic surgery: A retrospective cohort study

Recently, activities of daily living (ADL) were identified as a prognostic factor among elderly patients with heart disease; however, a specific association between ADL and prognosis after cardiac and aortic surgery is not well established. We aimed to clarify the impact of ADL capacity at discharge on prognosis in elderly patients after cardiac and aortic surgery.This retrospective cohort study included 171 elderly patients who underwent open operation for cardiovascular disease in a single center (median age: 74 years; men: 70%). We used the Barthel Index (BI) as an indicator for ADL. Patients were classified into 2 groups according to the BI at discharge, indicating a high (BI ≥ 85) or low (BI < 85) ADL status. All-cause mortality and unplanned readmission events were observed after discharge.Thirteen all-cause mortality and 44 all-cause unplanned readmission events occurred during the median follow-up of 365 days. Using Kaplan-Meier analysis, a low ADL status was determined to be significantly associated with all-cause mortality and unplanned readmission. In the multivariable Cox proportional hazard models, a low ADL status was an independent predictor of all-cause mortality and unplanned readmission after adjusting for age, sex, length of hospital stay, and other variables (including preoperative status, surgical parameter, and postoperative course).A low ADL status at discharge predicted all-cause mortality and unplanned readmission in elderly patients after cardiac and aortic surgery. A comprehensive approach from the time of admission to postdischarge to improve ADL capacity in elderly patients undergoing cardiac and aortic surgery may improve patient outcomes.

Large disparities in 28-day case fatality by stroke subtype: data from a French stroke registry between 2008 and 2017

BACKGROUND AND PURPOSE

The objectives of the present analysis were to assess 28-day stroke case fatality according to the stroke aetiology and to identify associated factors.

METHODS

All stroke events in adults aged ≥35 years between 2008 and 2017 were collected in a population-based stroke registry in northern France.

RESULTS

Out of a total of 2933 strokes, there were 479 (16%) haemorrhagic strokes and 2454 (84%) ischaemic strokes; the 28-day case fatality rates were 48% and 15%, respectively. Three-quarters of the 28-day case fatalities occurred within 6 days of the event for haemorrhagic strokes and within 16.5 days for ischaemic strokes. After an ischaemic stroke, the case fatality rate was higher for women (18%) than for men (12%, p < 0.0001); however, this difference disappeared after adjustment for age. Cardioembolic strokes (34%) and strokes of undetermined cause (33%) were the most common ischaemic subtypes, with case fatality rates of 16% and 18%, respectively. Large artery atherosclerosis (11%) and lacunar strokes (10%) were less common, and both types had a case fatality rate of 3%. Age at the time of the event and stroke severity were both significantly associated with case fatality. For some types of stroke, a history of cardiovascular events and residence in a nursing home were associated with a poor prognosis. Medical care in a neurology ward was inversely associated with case fatality, for all stroke subtypes.

CONCLUSIONS

In northern France, post-stroke case fatality remains high, especially for haemorrhagic stroke. Being treated in a neurology ward improved survival by around 80%.

Barthel Index as a Predictor of Mortality in Patients with Acute Coronary Syndrome: Better Activities of Daily Living, Better Prognosis

Background

The Barthel index (BI) is a widely used assessment tool for evaluating physical performance in activities of daily living (ADL). The association between BI scores and mortality in hospital and during follow-up of acute coronary syndrome (ACS) patients remains unclear. The present study investigated whether the BI score could be used as a predictor for mortality of ACS.

Methods

We investigated ACS patients from the multi-center Retrospective Evaluation of Acute Chest Pain (REACP) study. The association between BI scores and all-cause mortality of patients with ACS was analyzed by Cox proportional hazards models. The primary endpoint was all-cause death and the secondary endpoint was cardiac death during follow-up.

Results

Among 2908 patients with ACS enrolled, 277 (9.5%) patients died within a median follow-up time of 10.6 months. Patients with lower BI had higher risks of mortality, compared with those with higher BI in ACS patients. Kaplan–Meier analysis revealed that patients with lower BI had worse survival rates than patients with higher BI (P < 0.001). After adjustment for potential influencing factors, multivariate Cox regression analysis showed that the BI was independently associated with all-cause mortality and cardiac mortality, respectively.

Conclusion

The BI at admission has the powerful potential to provide useful prognostic information of early risk stratification, and routine recording of the BI at the ED visit may help in decision-making and health care planning for patients with ACS.

Functional impairment and serum albumin predict in-hospital mortality in nonagenarians with acute infection: a retrospective cohort study

Background

Acute infection leads to substantial mortality in the nonagenarian population. However, the predictive efficacies of functional status and biochemical indexes for in-hospital mortality in these patients remain to be determined.

Methods

A single-center, retrospective cohort study was performed. Consecutive nonagenarian patients who were admitted to our department from January 1, 2014 to December 31, 2016 for acute infectious diseases were included. Baseline data for medical history, functional status, and biochemical indexes were obtained on admission. The outcomes of these patients during hospitalization were recorded. Predictors of in-hospital mortality were identified via logistic regression analyses.

Results

A total of 162 patients were included, and 46 patients died (17.2%) during hospitalization. Univariate analysis showed that the prevalence rates of atrial fibrillation (32.1%) and malignant disease (26.5%) were higher in nonagenarian patients who died during hospitalization than in those who discharged. Multivariate logistic regression analyses identified malignant disease (odds ratio [OR] 2.73, 95% confidence interval [CI]: 1.10–6.78), ADL category (OR 0.82, 95% CI: 0.75–0.89) and serum albumin (OR 0.86, 95%CI 0.78–0.95) as independent predictors of in-hospital mortality in nonagenarian patients hospitalized for acute infection.

Conclusions

Functional impairment as well as serum albumin may be independent predictors of in-hospital mortality in nonagenarian patients hospitalized for acute infectious diseases. Stratification of patients according to Barthel Index score and serum albumin is very necessary.

The Charlson Comorbidity and Barthel Index predict length of hospital stay, mortality, cardiovascular mortality and rehospitalization in unselected older patients admitted to the emergency department

BACKGROUND AND AIMS

The Charlson Comorbidity Index (CCI) is the most widely used assessment tool to report the presence of comorbid conditions. The Barthel index (BI) is used to measure performance in activities of daily living. We prospectively investigated the performance of CCI or BI to predict length of hospital stay (LOS), mortality, cardiovascular (CV) mortality and rehospitalization in unselected older patients on admission to the emergency department (ED). We also studied the association of CCI or BI with costs.

METHODS

We consecutively enrolled 307 non-surgical patients ≥ 68 years presenting to the ED with a wide range of comorbid conditions. Baseline characteristic, clinical presentation, laboratory data, echocardiographic parameters and hospital costs were compared among patients. All patients were followed up for mortality, CV mortality and rehospitalization within the following 12 months. A multivariate analysis was performed.

RESULTS

Mortality was increased for patients having a higher CCI or BI with a hazard ratio around 1.17-1.26 or 0.75-0.81 (obtained for different models) for one or ten point increase in CCI or BI, respectively. The prognostic impact of a high CCI or BI on CV mortality and rehospitalization was also significant. In a multiple linear regression using the same independent variables, CCI and BI were identified as a predictor of LOS in days. Multiple linear regression analysis did not confirm an association between CCI and costs, but for BI after adjusting for multiple factors.

CONCLUSION

CCI and BI independently predict LOS, mortality, CV mortality, and rehospitalization in unselected older patients admitted to ED.

Activities of daily living among elderly persons with severe aortic stenosis

PURPOSE

To determine the level of limitations in activities of daily living (ADL) and instrumental ADL, and identify related factors to instrumental ADL among elderly persons with severe aortic stenosis (AS).

MATERIALS AND METHODS

We prospectively enrolled 112 consecutive elderly persons (mean age, 84.6 ± 4.4 y) with severe AS. We assessed ADL and instrumental ADL using the Barthel index (BI) and the Frenchay activities index (FAI), respectively. Cardiac, physical, cognitive and kidney functions, nutritional status, medical histories, and comorbidities were assessed. A multiple logistic analysis was developed to explore related factors to the FAI.

RESULTS

The medians (ranges) of BI and FAI were 100 (15-100) and 21 (0-38), respectively. The multiple logistic analysis revealed that a history of heart failure (sβ = -0.189), a history of cerebrovascular disease (sβ = -0.233), the short physical performance battery score ≤ 8 (sβ = -0.272), the mini-mental state examination score ≤ 23 (sβ = -0.168) were significantly related to the FAI (p < 0.05).

CONCLUSIONS

Physical frailty, a history of heart failure, cerebrovascular disease, and cognitive decline were independently related to declined instrumental ADL. IMPLICATIONS FOR REHABILIATION Activities of daily living was well-preserved among elderly persons with severe aortic stenosis. Instrumental activities of daily living varied among patients with aortic stenosis and was sometimes impaired. Physical frailty, a history of heart failure, and a history of cerebrovascular disease were independently associated with instrumental activities of daily living in elderly persons with severe aortic stenosis.

Mortality and Predictors of Death Poststroke: Data from a Multicenter Prospective Cohort of Lebanese Stroke Patients

BACKGROUND

Despite efforts to reduce stroke mortality rates, the disease remains a leading cause of death in Lebanon highlighting the importance of understanding risk factors and subsequent mortality. We examined mortality rates during the first year after acute stroke and the major short-term (1-month) and long-term (1-year) mortality predictors.

METHODS

Data were collected prospectively on hospitalized stroke patients from 8 hospitals in Beirut during a 1-year period. Patients were followed up for 1-year or until death. Mortality rates were assessed at 1-month and at 1-year poststroke and predictors of death were evaluated using Cox proportional hazard model.

RESULTS

A total of 191 stroke patients were included. Survival data were completed for over 97% of patients. Cumulative mortality rates were 14.1% at 1-month and 22% at 1-year. Predictors of short-term and long-term mortality in univariate analysis were low socioeconomic status, intensive care unit admission, decreased level of consciousness, stroke severity, and presence of complications. Marital status also predicted short-term mortality, while age greater than 64 years, atrial fibrillation, coronary heart disease, hypertension, Bamford and TOAST classifications and surgery need were also long-term mortality predictors. In multivariate analysis, stroke severity and presence of complications were predictors of death at 1-month and at 1-year. Low socioeconomic status, dependency in daily living activities, and the presence of comorbidities were additional predictors of 1-year mortality.

CONCLUSIONS

Approximately 1 over 5 of patients did not survive 1-year after stroke. There is a need for public awareness campaigns to improve stroke knowledge, warning, and prevention which may reduce this high stroke mortality rate in Lebanon.

Effect of Physical Disability on Mortality in Elderly Patients of ≥80 Years of Age Undergoing Percutaneous Coronary Intervention

Functional decrease has been linked with adverse events in different clinical contexts. The predictive role of activity of daily living status as assessed by the Barthel index (BI) in elderly patients who underwent percutaneous coronary intervention (PCI) has not been investigated, yet. In this study, a total of 616 patients (≥80 years) who underwent PCI between January 2009 and December 2014 and with available activity of daily living data on admission were stratified according to BI (low BI <85, intermediate BI 85 to 95, high BI 100). The primary end point was all-cause mortality at a total follow-up of 442 days (interquartile range 47 to 1243). Of the 616 patients, 178 (29%), 128 (21%), and 310 (50%) were in the low, the intermediate, and the high BI groups, respectively. All-cause mortality was 10%, 13%, and 5% in the low, the intermediate, and the high BI groups, respectively (log-rank p <0.001). Belonging to the high BI group was associated with a reduced risk of all-cause mortality (hazard ratio 0.35, 95% confidence interval 0.18 to 0.69, p = 0.002), and associations remained significant after multivariable adjustments (adjusted hazard ratio 0.34, 95% confidence interval 0.13 to 0.93, p = 0.04). Functional capacity was identified as independent predictor of survival in a large cohort of patients who underwent PCI. In conclusion, activities of daily living should be incorporated into the risk stratification of elderly patients with coronary artery disease.

Disability, and not diabetes, is a strong predictor of mortality in oldest old patients hospitalized with pneumonia

BACKGROUND

Pneumonia causes more deaths than any other infectious disease, especially in older patients with multiple chronic diseases. Recent studies identified a low functional status as prognostic factor for mortality in elderly patients with pneumonia while contrasting data are available about the role of diabetes. The aim of this study was to evaluate the in-hospital, 3-month and 1-year mortality in elderly subjects affected by pneumonia enrolled in the RePoSi register.

METHODS

We retrospectively analyzed the data collected on hospitalized elderly patients in the frame of the REPOSI project. We analyzed the socio-demographic, laboratory and clinical characteristics of subjects with pneumonia. Multivariate logistic analysis was used to explore the relationship between variables and mortality.

RESULTS

Among 4714 patients 284 had pneumonia. 52.8% were males and the mean age was 80 years old. 19.8% of these patients had a Barthel Index ≤40 (p ˂ 0.0001), as well as 43.2% had a short blessed test ≥10 (p ˂ 0.0117). In these subjects a significant CIRS for the evaluation of severity and comorbidity indexes (p ˂ 0.0001) were present. Although a higher fasting glucose level was identified in people with pneumonia, in the multivariate logistic analysis diabetes was not independently associated with in-hospital, 3-month and 1-year mortality, whereas patients with lower Barthel Index had a higher mortality risk (odds ratio being 9.45, 6.84, 19.55 in hospital, at 3 and 12 months).

CONCLUSION

Elderly hospitalized patients affected by pneumonia with a clinically significant disability had a higher mortality risk while diabetes does not represent an important determinant of short and long-term outcome.

Basal functional status predicts one-year mortality after a heart failure hospitalization in elderly patients - The RICA prospective study

BACKGROUND

Dependence for basic activities of the daily living (ADL) relates to adverse outcomes in elderly acute heart failure (AHF) patients.

METHODS

We evaluated patients ≥75years admitted because of AHF, divided according to preadmission Barthel Index (BI) category: severe (BI 0-60), moderate (BI 61-90) and slight dependence or independence for basic ADL (BI 91-100). We compared their baseline characteristics and used logistic regression models to determine whether a BI≤60 confers higher one-year mortality risk.

RESULTS

We included 2195 patients, mean age 83years; 57% women, Charlson Index 3, 65% with preserved left ventricular ejection fraction. Their median preadmission BI was 90 (65-100); 21.7% had BI≤60. Patients with BI≤60 were older, more often females, with higher comorbid and cognitive burden and more likely to be institutionalized. 560 patients (26%) died within the follow-up period. A preadmission BI≤60 was significantly associated with higher risk of 12-month mortality (HR 1.42, 95% CI 1.14-1.77) together with male sex (1.27, 1.04-1.54), valve disease (1.49, 1.20-1.83), worse preadmission NYHA class (1.44, 1.20-1.73), stage IV chronic kidney disease (1.70, 1.35-2.15), pulmonary edema (1.33, 1.01-1.76), no family support (1.47, 1.06-2.06), and higher Charlson Comorbidity Index (1.09, CI 1.05-1.13) and Pfeiffer cognitive screening questionnaire scores (1.10, 1.05-1.14).

CONCLUSION

Among elderly AHF patients, the presence of severe (BI≤60) preadmission dependence for basic ADL confers a significant and independent risk of one-year post-discharge mortality.

Synergistic effects of cognitive impairment on physical disability in all-cause mortality among men aged 80 years and over: Results from longitudinal older veterans study

Objective

We evaluated effects of the interrelationship between physical disability and cognitive impairment on long-term mortality of men aged 80 years and older living in a retirement community in Taiwan.

Methods

This prospective cohort study enrolled older men aged 80 and older living in a Veterans Care Home. Those with confirmed diagnosis of dementia were excluded. All participants received comprehensive geriatric assessment, including sociodemographic data, Charlson’s Comorbidity Index (CCI), geriatric syndromes, activities of daily living (ADL) using the Barthel index and cognitive function using the Mini-Mental State Examination (MMSE). Subjects were categorized into normal cognitive function, mild cognitive deterioration, and moderate-to-severe cognitive impairment and were further stratified by physical disability status. Kaplan-Meier log-rank test was used for survival analysis. After adjusting for sociodemographic characteristics and geriatric syndromes, Cox proportional hazards model was constructed to examine associations between cognitive function, disability and increased mortality risk.

Results

Among 305 male subjects aged 85.1 ± 4.1 years, 89 subjects died during follow-up (mean follow-up: 1.87 ± 0.90 years). Kaplan-Meier unadjusted analysis showed reduced survival probability associated with moderate-to-severe cognitive status and physical disability. Mortality risk increased significantly only for physically disabled subjects with simultaneous mild cognitive deterioration (adjusted HR 1.951, 95% CI 1.036–3.673, p = 0.038) or moderate-to-severe cognitive impairment (aHR 2.722, 95% CI 1.430–5.181, p = 0.002) after adjusting for age, BMI, education levels, smoking status, polypharmacy, visual and hearing impairment, urinary incontinence, fall history, depressive symptoms and CCI. Mortality risk was not increased among physically independent subjects with or without cognitive impairment, and physically disabled subjects with intact cognition.

Conclusions

Physical disability is a major risk factor for all-cause mortality among men aged 80 years and older, and risk increased synergistically when cognitive impairment was present. Cognitive impairment alone without physical disability did not increase mortality risk in this population.

Thromboembolic Risk, Bleeding Outcomes and Effect of Different Antithrombotic Strategies in Very Elderly Patients With Atrial Fibrillation: A Sub-Analysis From the PREFER in AF (PREvention oF Thromboembolic Events-European Registry in Atrial Fibrillation)

BACKGROUND

Increasing age predisposes to both thromboembolic and bleeding events in patients with atrial fibrillation; therefore, balancing risks and benefits of antithrombotic strategies in older populations is crucial. We investigated 1-year outcome with different antithrombotic approaches in very elderly atrial fibrillation patients (age ≥85 years) compared with younger patients.

METHODS AND RESULTS

We accessed individual patients' data from the prospective PREFER in AF (PREvention oF thromboembolic events-European Registry in Atrial Fibrillation), compared outcomes with and without oral anticoagulation (OAC), and estimated weighed net clinical benefit in different age groups. A total of 6412 patients, 505 of whom were aged ≥85 years, were analyzed. In patients aged <85 years, the incidence of thromboembolic events was 2.8%/year without OAC versus 2.3%/year with OAC (0.5% absolute reduction); in patients aged ≥85 years, it was 6.3%/year versus 4.3%/year (2% absolute reduction). In very elderly patients, the risk of major bleeding was higher than in younger patients, but similar in patients on OAC and in those on antiplatelet therapy or without antithrombotic treatment (4.0%/year versus 4.2%/year; P=0.77). OAC was overall associated with weighted net clinical benefit, assigning weights to nonfatal events according to their prognostic implication for subsequent death (-2.19%; CI, -4.23%, -0.15%; P=0.036). We found a significant gradient of this benefit as a function of age, with the oldest patients deriving the highest benefit.

CONCLUSIONS

Because the risk of stroke increases with age more than the risk of bleeding, the absolute benefit of OAC is highest in very elderly patients, where it, by far, outweighs the risk of bleeding, with the greatest net clinical benefit in such patients.

Clinical impact of non-culprit lesions on 1-year mortality in very elderly patients with acute coronary syndrome

Preventive percutaneous coronary intervention (PCI) for non-culprit lesions after primary PCI remains controversial in patients with acute coronary syndrome (ACS). We analyzed whether PCI for non-culprit lesions would be associated with a better long-term prognosis in very elderly (≥85 years) patients. This study included 91 consecutive patients with ACS (mean age, 88.2 ± 3.0, 52 % male). We investigated the association of residual lesions with 1-year mortality. Culprit lesions affected the left anterior descending artery (LAD) in 50 patients, the left circumflex artery (LCx) in 29, and the right coronary artery (RCA) in 31. Residual lesions affected LAD in 20 cases, LCx in 22, and RCA in 21 patients. Residual lesions in LAD were associated with a higher 1-year mortality (p = 0.013), whereas residual lesions in LCx or RCA were not (p = 0.547 and 0.473, respectively). A Cox regression model demonstrated that patients with residual lesions in LAD had an increased risk of 1-year mortality compared with those without residual lesions (hazard ratio, 2.39; 95 % confidence interval, 1.16-4.96; p = 0.019). Therefore, the option to not treat residual lesions in LAD of patients with PCI may be associated with a higher 1-year mortality. Further studies are needed to confirm these findings.