Three-year mortality in previously hospitalized older patients from rural areas--the importance of co-morbidity and self-reported poor health

Use of Single-Item Self-Rated Health Measure to Identify Frailty and Geriatric Assessment-Identified Impairments Among Older Adults with Cancer

Background

Poor self-rated health (SRH) is a known predictor of frailty and mortality in the general population; however, its role among older adults with cancer is unknown. We evaluated the role of SRH as a potential screening tool to identify frailty and geriatric assessment (GA)-identified impairments.

Materials and Methods

Adults ≥60 years diagnosed with cancer in the UAB Cancer & Aging Resilience Evaluation (CARE) registry underwent a GA at the time of initial consultation. We measured SRH using a single-item from the Patient-Reported Outcomes Measurement Information System global health scale and dichotomized responses as poor (poor, fair) and good (good, very good, and excellent). We evaluated the diagnostic performance of SRH in measuring frailty, and GA impairment (≥2 deficits among a set of seven GA domains). We examined the impact of SRH with survival using a Cox model adjusting for confounders, exploring the mediating role of frailty.

Results

Six hundred and three older adults with cancer were included, with a median age of 69 years. Overall, 45% (n = 274) reported poor SRH. Poor SRH demonstrated high sensitivity and specificity for identifying frailty (85% and 78%, respectively) and GA impairment (75% and 78%, respectively). In a Cox regression model, poor SRH was associated with inferior survival (HR = 2.26; 95% CI 1.60-3.18) after adjusting for confounders; frailty mediated 69% of this observed relationship.

Conclusion

Self-rated health may be used as a screening tool to identify older adults with cancer with frailty and GA impairments. Poor SRH is associated with inferior survival, which is mediated by frailty.

Morbidity Measures Predicting Mortality in Inpatients: A Systematic Review

OBJECTIVES

Morbidity is an important risk factor for mortality and a variety of morbidity measures have been developed to predict patients' health outcomes. The objective of this systematic review was to compare the capacity of morbidity measures in predicting mortality among inpatients admitted to internal medicine, geriatric, or all hospital wards.

DESIGN

A systematic literature search was conducted from inception to March 6, 2019 using 4 databases: Medline, Embase, Cochrane, and CINAHL. Articles were included if morbidity measures were used to predict mortality (registration CRD42019126674).

SETTING AND PARTICIPANTS

Inpatients with a mean or median age ≥65 years.

MEASUREMENTS

Morbidity measures predicting mortality.

RESULTS

Of the 12,800 articles retrieved from the databases, a total of 34 articles were included reporting on inpatients admitted to internal medicine, geriatric, or all hospital wards. The Charlson Comorbidity Index (CCI) was reported most frequently and a higher CCI score was associated with greater mortality risk, primarily at longer follow-up periods. Articles comparing morbidity measures revealed that the Geriatric Index of Comorbidity was better predicting mortality risk than the CCI, Cumulative Illness Rating Scale, Index of Coexistent Disease, and disease count.

CONCLUSIONS AND IMPLICATIONS

Higher morbidity measure scores are better in predicting mortality at longer follow-up period. The Geriatric Index of Comorbidity was best in predicting mortality and should be used more often in clinical practice to assist clinical decision making.

Self-rated health as a predictor of mid-term and long-term mortality in older Afro-Caribbeans hospitalised via the emergency department

PURPOSE

To determine whether self-rated health (SRH) is an independent predictor for mortality in older Afro-Caribbean patients hospitalised for an acute condition.

METHODS

Prospective cohort of patients recruited from the University Hospitals of Martinique Acute Care for Elders unit. Patients aged 75 or older and hospitalised for an acute condition were eligible. The outcome was time to death within the 36-week follow-up. SRH was the explanatory variable of interest. Cox's Proportional Hazards model was used to estimate the relationship between SRH and mortality.

RESULTS

The 223 patients included in the study were aged 85.1 ± 5.5 years. In total, 123 patients reported "very good to good" health, and 100 "medium to very poor" health. Crude mortality rates at six months, 1, 2, and 3 years were 30.5, 34.8, 48.4, and 57.0%, respectively. By multivariate analysis, SRH reached significant relationship for all mortality timepoints. The adjusted hazard ratios for subjects who perceived their health as medium, poor or very poor was 1.6-2.7 times greater than that of subjects who reported good or very good health.

CONCLUSION

Assessment of SRH could have implications for clinical practice, particularly in helping practitioners to better estimate prognosis in the acute care settings.

Mortality in Mild Cognitive Impairment Diagnosed with DSM-5 Criteria and with Petersen's Criteria: A 17-Year Follow-Up in a Community Study

OBJECTIVE

To explore the possibility that the mortality risk of mild cognitive impairment (MCI) as diagnosed using Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5) criteria (DSM-5-MCI) will be higher than using Petersen's criteria (P-MCI) and to report the population-attributable fraction (PAF) of mortality due to MCI.

METHODS

A representative community sample of 4,803 individuals aged 55 or more years was interviewed and then followed for 17 years. Standardized instruments were used in the assessment, including the Geriatric Mental State-AGECAT, and research psychiatrists diagnosed P-MCI and DSM-5-MCI cases following operationalized criteria. Mortality information was obtained from the official population registry. Kaplan-Meier age-adjusted survival curves were built for the MCI diagnostic groups, and Cox proportional hazards regression models were used to calculate the hazard ratio of death in participants with MCI relative to those without. We also estimated the PAF of mortality due to specific MCI diagnostic groups.

RESULTS

Compared with noncases, the mortality rate ratio was approximately double in DSM-5-MCI individuals (2.3) than in P-MCI individuals (1.2). In the multivariate statistical analysis, a significant association between each diagnostic category and mortality was observed but was only maintained in the final model in DSM-5-MCI cases (hazard ratio: 1.24). The PAF of mortality due to MCI was approximately 1% in both MCI categories.

CONCLUSION

The mortality risk in comparison with noncases was higher in DSM-5-MCI than in P-MCI. The PAF of mortality in DSM-5-MCI individuals was ~ 1% over a 17-year period.

Multimorbidity and mortality in older adults: A systematic review and meta-analysis

OBJECTIVE

To review literature and provide a pooled effect for the association between multimorbidity and mortality in older adults.

METHODS

A systematic review was performed of articles held on the PUBMED database published up until January 2015. Studies which used different diseases and other conditions to define frailty, evaluated multimorbidity related only to mental health or which presented disease homogeneity were not included. A meta-analysis using random effect to obtain a pooled effect of multimorbidity on mortality in older adults was conducted only with studies which reported hazard ratio (HR). Stratified analysis and univariate meta-regression were performed to evaluate sources of heterogeneity.

RESULTS

Out of 5806 identified articles, 26 were included in meta-analysis. Overall, positive association between multimorbidity and mortality [HR: 1.44 (95%CI: 1.34; 1.55)] was detected. The number of morbidities was positively related to risk of death [HR: 1.20 (95%CI: 1.10; 1.30)]. Compared to individuals without multimorbidity, the risk of death was 1.73 (95%CI: 1.41; 2.13) and 2.72 (95%CI: 1.81; 4.08) for people with 2 or more and 3 or more morbidities, respectively. Heterogeneity between studies was high (96.5%). The sample, adjustment and follow-up modified the associations. Only nine estimates performed adjustment which included demographic, socioeconomic and behaviour variables. Disabilities appear to mediate the effect of multimorbidity on mortality.

CONCLUSIONS

Multimorbidity was associated with an increase in risk of death. Multimorbidity measurement standardization is needed to produce more comparable estimates. Adjusted analysis which includes potential confounders might contribute to better understanding of causal relationships between multimorbidity and mortality.

Depressive Symptoms: Mediator of Event-Free Survival in Patients With Heart Failure

Depressive symptoms and poor health perceptions are predictors of higher hospitalization and mortality rates (heart failure [HF]). However, the association between depressive symptoms and health perceptions as they affect event-free survival outcomes in patients with HF has not been studied. The purpose of this secondary analysis was to determine whether depressive symptoms mediate the relationship between health perceptions and event-free survival in patients with HF. A total of 458 HF patients (61.6 ± 12 years, 55% New York Heart Association Class III/IV) responded to one-item health perception question and completed the Patient Health Questionnaire-9. Event-free survival data were collected for up to 4 years. Multiple regression and Cox proportional hazards regression analysis showed that depressive symptoms mediated the relationship between health perceptions and event-free survival. Decreasing depressive symptoms is essential to improve event-free survival in patients with HF.

Degree of cognitive impairment and mortality: a 17-year follow-up in a community study

BACKGROUND

To test the hypothesis that cognitive impairment in older adults is associated with all-cause mortality risk and the risk increases when the degree of cognitive impairment augments; and then, if this association is confirmed, to report the population-attributable fraction (PAF) of mortality due to cognitive impairment.

METHOD

A representative random community sample of individuals aged over 55 was interviewed, and 4557 subjects remaining alive at the end of the first year of follow-up were included in the analysis. Instruments used in the assessment included the Mini-Mental Status Examination (MMSE), the History and Aetiology Schedule (HAS) and the Geriatric Mental State (GMS)-AGECAT. For the standardised degree of cognitive impairment Perneczky et al's MMSE criteria were applied. Mortality information was obtained from the official population registry. Multivariate Cox proportional hazard models were used to test the association between MMSE degrees of cognitive impairment and mortality risk. We also estimated the PAF of mortality due to specific MMSE stages.

RESULTS

Cognitive impairment was associated with mortality risk, the risk increasing in parallel with the degree of cognitive impairment (Hazard ratio, HR: 1.18 in the 'mild' degree of impairment; HR: 1.29 in the 'moderate' degree; and HR: 2.08 in the 'severe' degree). The PAF of mortality due to severe cognitive impairment was 3.49%.

CONCLUSIONS

A gradient of increased mortality-risk associated with severity of cognitive impairment was observed. The results support the claim that routine assessment of cognitive function in older adults should be considered in clinical practice.