Activities of daily living at hospital admission and estimated survival time of older patients

Association of oral health with geriatric syndromes and clinical outcomes in hospitalized older adults

OBJECTIVES

To evaluate the relationship between oral health and geriatric disorders, as well as its role in clinical outcomes among acutely admitted older patients.

DESIGN

A retrospective observational study was conducted.

SETTING

The study was conducted at a medical center in central Taiwan.

PARTICIPANTS

A total of 1,141 patients (651 males and 490 females), aged 65 years or older, were admitted due to acute illness with geriatric syndromes from October 1, 2018, to March 31, 2023.

MEASUREMENTS

A comprehensive geriatric assessment (CGA) was conducted, covering the comorbidity index, cognitive status, mood, physical function, nutritional status, mobility, health-related quality of life, frailty, and oral health condition. Oral health was evaluated using a bedside oral examination with scores ranging from 8 to 24, where scores of 8-10 indicated normal oral health, 11-14 indicated moderate impairment, and 15-24 indicated severe impairment. The primary outcome observed was in-hospital mortality.

RESULTS

Among the participants, 40.5% experienced cognitive impairment, 24.8% exhibited depressive symptoms, 69.4% had low hand grip strength, 36.5% demonstrated low performance in mobility, and 78.9% were at risk of malnutrition. Severe impairment of oral health was found in 18.8% of the participants, while frailty was observed in 85.1%. Stratification of oral health severity revealed differences in various CGA parameters, including comorbidity, polypharmacy, cognitive impairment, depressive mood, physical activity, mobility, nutritional status, and quality of life, as well as clinical outcomes such as length of stay and in-hospital mortality between the groups. In univariable analysis, age, gender, frailty, oral health impairment, comorbidity index, nutritional status, and cognitive and physical functions were all significantly associated with in-hospital mortality. After adjusting for significant factors, severe oral health impairment remained significantly associated with mortality.

CONCLUSION

In acutely admitted older patients, oral health was associated with geriatric disorders and was linked to in-hospital mortality. Early intervention in oral health may be necessary to improve outcomes.

The impact of frailty on clinical outcomes of older patients undergoing enhanced recovery after lumbar fusion surgery: a prospective cohort study

BACKGROUND

Frailty is recognized as a surrogate for physiological age and has been established as a valid and independent predictor of postoperative morbidity, mortality, and complications. Enhanced recovery after surgery (ERAS) can enhance surgical safety by minimizing stress responses in frail patients, enabling surgeons to discharge patients earlier. However, the question of whether and to what extent the frailty impacts the post-ERAS outcomes in older patients remains.

MATERIALS AND METHODS

An evidence-based ERAS program was implemented in our center from January 2019. This is a prospective cohort study of patients aged ≥75 years who underwent open transforaminal lumbar interbody fusion (TLIF) for degenerative spine disease from April 2019 to October 2021. Frailty was assessed with the Fried frailty scale (FP scale), and patients were categorized as non/prefrail (FP 0-2) or frail (FP ≥ 3). The preoperative variables, operative data, postoperative outcomes, and follow-up information were compared between the two groups. Univariate and multivariate logistic regression analyses were used to identify risk factors for 90-day major complications and prolonged length of hospital stay after surgery.

RESULTS

A total of 245 patients (age of 79.8±3.4 year) who had a preoperative FP score recorded and underwent scheduled TLIF surgery were included in the final analysis. Comparisons between nonfrail and prefrail/frail patients revealed no significant difference in age, sex, and surgery-related variables. Even after adjusting for multiple comparisons, the association between Fried frailty and ADL-dependency, IADL-dependency, and malnutrition remained significant. Preoperative frailty was associated with increased rates of postoperative adverse events. A higher CCI grade was an independent predictor for 90-day major complications, while Fried frailty and MNA-SF scores <12 were predictive of poor postoperative recovery.

CONCLUSION

Frail older patients had more adverse post-ERAS outcomes after TLIF compared to non/prefrail older patients. Continued research and multidisciplinary collaboration will be essential to refine and optimize protocols for surgical care in frail older adults.

A Diagnostic Nomogram for Predicting Hypercapnic Respiratory Failure in Patients with Acute Exacerbation of Chronic Obstructive Pulmonary Disease

Purpose

To develop and validate a nomogram for assessing the risk of developing hypercapnic respiratory failure (HRF) in patients with acute exacerbation of chronic obstructive pulmonary disease (AECOPD).

Patients and Methods

From January 2019 to August 2023, a total of 334 AECOPD patients were enrolled in this research. We employed the Least Absolute Shrinkage and Selection Operator (LASSO) regression and multivariate logistic regression to determine independent predictors and develop a nomogram. This nomogram was appraised by the area under the receiver operating characteristic curve (AUC), calibration curve, Hosmer-Lemeshow goodness-of-fit test (HL test), decision curve analysis (DCA), and clinical impact curve (CIC). The enhanced bootstrap method was used for internal validation.

Results

Sex, prognostic nutritional index (PNI), hematocrit (HCT), and activities of daily living (ADL) were independent predictors of HRF in AECOPD patients. The developed nomogram based on the above predictors showed good performance. The AUCs for the training, internal, and external validation cohorts were 0.841, 0.884, and 0.852, respectively. The calibration curves and HL test showed excellent concordance. The DCA and CIC showed excellent clinical usefulness. Finally, a dynamic nomogram was developed (https://a18895635453.shinyapps.io/dynnomapp/).

Conclusion

This nomogram based on sex, PNI, HCT, and ADL demonstrated high accuracy and clinical value in predicting HRF. It is a less expensive and more accessible approach to assess the risk of developing HRF in AECOPD patients, which is more suitable for primary hospitals, especially in developing countries with high COPD-related morbidity and mortality.

The prognostic value of the Barthel Index for mortality in patients with COVID-19: A cross-sectional study

Objective

This study aimed to analyze the association between the activity of daily living (ADL), coronavirus disease (COVID-19), and the value of the Barthel Index in predicting the prognosis of patients.

Methods

This study included 398 patients with COVID-19, whose ADL at admission to hospital were assessed with the Barthel Index. The relationship between the index and the mortality risk of the patients was analyzed. Several regression models and a decision tree were established to evaluate the prognostic value of the index in COVID-19 patients.

Results

The Barthel Index scores of deceased patients were significantly lower than that of discharged patients (median: 65 vs. 90, P < 0.001), and its decrease indicated an increased risk of mortality in patients (P < 0.001). After adjusting models for age, gender, temperature, pulse, respiratory rate, mean arterial pressure, oxygen saturation, etc., the Barthel Index could still independently predict prognosis (OR = 0.809; 95% CI: 0.750-0.872). The decision tree showed that patients with a Barthel Index of below 70 had a higher mortality rate (33.3-40.0%), while those above 90 were usually discharged (mortality: 2.7-7.2%).

Conclusion

The Barthel Index is of prognostic value for mortality in COVID-19 patients. According to their Barthel Index, COVID-19 patients can be divided into emergency, observation, and normal groups (0-70; 70-90; 90-100), with different treatment strategies.

Predictors of Survival Among the Oldest Old Following Acute Hospital Admission: Insights From Clinical and Biochemical Factors

Understanding the factors influencing survival in oldest old population is crucial for providing appropriate care and improving outcomes. This prospective observational study aimed to investigate the determinants of survival in acutely ill oldest old patients during acute hospitalization and 1-month follow-up. Various geriatric domains and biochemical markers were assessed. Among the 70 included patients with a median age of 87 (Inter quartile range: 85-90), the presence of diabetes, delirium, tachypnea, and high sirtuin-5 levels were associated with reduced in-hospital survival. Non-survivors had raised levels of Sirtuin 1 and Sirtuin 5, with an increase of 43% and 70%, respectively. At 1 month, delirium and diabetes were still associated with reduced survival. These findings suggest that type-2 diabetes, delirium, tachypnea, and high sirtuin-5 levels could serve as predictors of reduced survival in acutely ill, hospitalized oldest old patients.

Prediction model of all-cause death based on balance ability among middle-aged and older Chinese adults of overweight and obesity

Background

Advances in studies using body indicators to predict death risk. Estimating the balance ability of death risk in middle-aged and older Chinese adults with overweight and obesity is still challenging.

Methods

A retrospective analysis of the data from the China Health and Retirement Study from January 2011 to December 2018. A total of 8,632 participants were randomly divided into 7:3 a training group and a verification group, respectively. Univariable Cox analysis was used to prescreen 17 potential predictors for incorporation in the subsequent multivariable Cox analysis. Nine variables were included in the nomogram finally and validated with concordance index (C-index), calibration plots, Hosmer-Lemeshow test, and internal validation population.

Results

287 participants were death in the training group. One hundred and thirteen participants were death in the verification group. A total of nine indicators were included in the modeling group, including gender, age, marriage, hypertension, diabetes, stroke, ADL, IADL, and balance ability to establish a prediction model. The nomogram predicted death with a validated concordance index of (C-index = 0.77, 95% CI: 0.74-0.80). The inclusion of balance ability variables in the nomogram maintained predictive accuracy (C-index = 0.77, 95% CI: 0.73-0.82). The calibration curve graph and Hosmer-Lemeshow test (P > 0.05 for both the modeling group and the verification group) showed the model has a good model consistency.

Conclusion

In the present study, we provide a basis for developing a prediction model for middle-aged and older people with overweight and obesity. In most cases, balance ability is more reversible than other predictors.

Older patients acutely admitted and readmitted to the same geriatric department: a descriptive cohort study of primary diagnoses and health characteristics

PURPOSE

Advancing age is associated with increased risk for acute admissions and readmissions. The societal challenges of ageing populations have made the prevention of readmissions come into focus. Readmission may be perceived as the result of inadequate treatment during index admission but may also be caused by the onset of new disease following a generally impaired health of geriatric patients. We aimed at comparing the diagnoses at index and readmission to illuminate this issue.

METHODS

This is a descriptive, retrospective cohort study of patients acutely admitted and readmitted (within 30 days from discharge) to the same geriatric ward (November 1, 2017-April 30, 2018). Electronic medical records were scrutinised manually for discharge diagnoses and patient characteristics.

RESULTS

Readmission rate was 10.7% (98 of 918 unique admissions). Mean age was 85.6 (men 56%). About 75% were readmitted with a new acute disease unrelated to index admission, most commonly pneumonia (27%), other infections (22%), and dehydration (14%). The health characteristics were long index length-of-stay (median 7; IQR 5-11), high Charlson Comorbidity Index (CCI ≥ 3, n = 49 (50%), polypharmacy (≥ 5 prescriptions) (94%), and hospitalisations 12 months prior to index admission (57%).

KEY CONCLUSIONS

The majority of readmitted geriatric patients have contracted a new acute condition. Although being characterised by several adverse health characteristics, prospective studies comparing readmitted and non-readmitted geriatric patients are needed. Still, increasing the awareness of early recognition of acute disease onset in geriatric patients is warranted.

Prediction of Mortality in Older Hospitalized Patients after Discharge as Determined by Comprehensive Geriatric Assessment

Several dimensional impairments regarding Comprehensive Geriatric Assessment (CGA) have been shown to be associated with the prognosis of older patients. The purpose of this study is to investigate mortality prediction factors based upon clinical characteristics and test in CGA, and then subsequently develop a prediction model to classify both short- and long-term mortality risk in hospitalized older patients after discharge. A total of 1565 older patients with a median age of 81 years (74.0−86.0) were consecutively enrolled. The CGA, which included assessment of clinical, cognitive, functional, nutritional, and social parameters during hospitalization, as well as clinical information on each patient was recorded. Within the one-year follow up period, 110 patients (7.0%) had died. Using simple Cox regression analysis, it was shown that a patient’s Length of Stay (LOS), previous hospitalization history, admission Barthel Index (BI) score, Instrumental Activity of Daily Living (IADL) score, Mini Nutritional Assessment (MNA) score, and Charlson’s Comorbidity Index (CCI) score were all associated with one-year mortality after discharge. When these parameters were dichotomized, we discovered that those who were aged ≥90 years, had a LOS ≥ 12 days, an MNA score < 17, a CCI ≥ 2, and a previous admission history were all independently associated with one-year mortality using multiple cox regression analyses. By applying individual scores to these risk factors, the area under the receiver operating characteristics curve (AUC) was 0.691 with a cut-off value score ≧ 3 for one year mortality, 0.801 for within 30-day mortality, and 0.748 for within 90-day mortality. It is suggested that older hospitalized patients with varying risks of mortality may be stratified by a prediction model, with tailored planning being subsequently implemented.

Barthel Index Score Predicts Mortality in Elderly Heart Failure - A Goal of Comprehensive Cardiac Rehabilitation

BACKGROUND

A strategy to predict mortality in elderly heart failure (HF) patients has not been established.

METHODS AND RESULTS

We retrospectively enrolled 413 HF patients aged ≥65 years (mean age 78 years) who had received comprehensive cardiac rehabilitation (CR) during hospitalization. Basic activities of daily life were assessed before discharge using the Barthel index (BI). Of 413 HF patients, 116 (28%) died during a median follow-up period of 1.90 years (interquartile range 1.20-3.23 years). An adjusted dose-dependent association analysis showed that the hazard ratio (HR) of mortality increased in an almost linear manner as the BI score decreased, and that a BI score of 85 corresponded to an HR of 1.0. Kaplan-Meier survival curves showed that the survival rate was lower for patients with a low BI (<85) than for those with a high BI (≥85; 65% vs. 74%, respectively; P=0.007). In multivariate Cox regression analyses, low BI was independently associated with higher mortality after adjusting for predictors, including B-type natriuretic peptide. Inclusion of the BI into the adjusted model improved the accuracy of the prediction of mortality.

CONCLUSIONS

A BI score <85 at the time of discharge is associated with increased mortality independent of known prognostic markers, and achieving functional status with a BI score ≥85 by comprehensive CR during hospitalization may contribute to favorable outcomes in elderly HF patients.

Use of Drugs with Anticholinergic Properties at Hospital Admission Associated with Mortality in Older Patients: A Danish Nationwide Register-Based Cohort Study

BACKGROUND

Use of drugs with anticholinergic properties (DAP) has a negative impact on older people.

OBJECTIVE

Our aim was to examine the association between DAP at hospital admission and mortality in older patients.

PATIENTS AND METHODS

We performed a nationwide population-based cohort study including patients aged ≥ 65 years admitted to Danish geriatric medicine departments during 2005-2014. National health registers were used to link with individual-level data. Patients were followed to emigration, death, or study termination (31 December 2015). DAP was defined as medications included in the anticholinergic cognitive burden (ACB) scale, which assigns each DAP a score between 1 and 3. The individual ACB score was calculated and the number of DAP counted. We used Cox proportional-hazard regressions to estimate the crude and adjusted hazard ratios adjusting for age, activities of daily living, marital status, index admission period, BMI, and prior hospitalizations (model 1), and additionally Charlson Comorbidity Index (model 2).

RESULTS

We included 74,589 patients aged (median [IQR]) 83 (77-88) years. Use of one or more DAP (62.5%) was associated with increased mortality compared with those with no use (p < 0.001). In the fully adjusted model 2, compared with no use, higher mortality risks (HR [95% CI]) were seen with ACB score of 2 and number of DAP ≥ 5 for 30-day (1.46 [1.32-1.61] and 1.46 [1.09-1.95]), 1-year (1.34 [1.28-1.41] and 1.48 [1.29-1.70]), and overall mortality (1.27 [1.23-1.31] and 1.44 [1.31-1.59]), respectively.

CONCLUSIONS

Use of DAP at hospital admission is associated with short- and long-term mortality in geriatric patients. Deprescribing studies are warranted to study whether the impact on mortality can be attenuated.