Measuring multimorbidity in older adults: comparing different data sources

Interventions Addressing Symptoms in Older Adults with Multimorbidity: An Umbrella Review

This umbrella review was to synthesize the summarized evidence-based research regarding interventions addressing symptoms in older populations with multimorbidity. Three databases including PsycINFO, MEDLINE, and CINAHL were searched systematically. The JBI Methodology for Umbrella Reviews and the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statements were used to report this review. Six reviews published between 2016 and 2010 were included for analysis. Interventions were mixed and included components on health-related behaviors, body systems or functions, activities and participation domains, and the environment. Outcomes concerning physiological/clinical functioning were most reported. The evidence regarding the symptoms-related interventions was mixed, but all showed promising outcomes compared with usual care or not. To sum up, this umbrella review reveals the lack of strong empirical evidence for the effectiveness of intervention addressing symptoms in older adults with multimorbidity. It highlights the need to evaluate the established approach of interventions further to support this population.

Low circulating levels of miR-17 and miR-126-3p are associated with increased mortality risk in geriatric hospitalized patients affected by cardiovascular multimorbidity

MultiMorbidity (MM), defined as the co-occurrence of two or more chronic conditions, is associated with poorer health outcomes, such as recurrent hospital readmission and mortality. As a group of conditions, cardiovascular disease (CVD) exemplifies several challenges of MM, and the identification of prognostic minimally invasive biomarkers to stratify mortality risk in patients affected by cardiovascular MM is a huge challenge. Circulating miRNAs associated to inflammaging and endothelial dysfunction, such as miR-17, miR-21-5p, and miR-126-3p, are expected to have prognostic relevance. We analyzed a composite profile of circulating biomarkers, including miR-17, miR-21-5p, and miR-126-3p, and routine laboratory biomarkers in a sample of 246 hospitalized geriatric patients selected for cardiovascular MM from the Report-AGE INRCA database and BioGER INRCA biobank, to evaluate the association with all-cause mortality during 31 days and 12 and 24 months follow-up. Circulating levels of miR-17, miR-126-3p, and some blood parameters, including neutrophil to lymphocyte ratio (NLR) and eGFR, were significantly associated with mortality in these patients. Overall, our results suggest that in a cohort of geriatric hospitalized patients affected by cardiovascular MM, lower circulating miR-17 and miR-126-3p levels could contribute to identify patients at higher risk of short- and medium-term mortality.

Agreement Between Self-Reported Information and Health Register Data on Chronic Diseases in the Oldest Old

Purpose

To study the agreement on disease prevalence between survey data and national health register data among people aged over 90.

Patients and Methods

The survey data were from the Vitality 90+ Study conducted among 1637 community dwellers and persons in long-term care aged 90 and over in Tampere, Finland. The survey was linked with two national health registers, including hospital discharge data and prescription information. The prevalence of 10 age-related chronic diseases was calculated for each data source and the agreement between the survey and the registers was estimated using Cohen's kappa statistics and positive and negative percent agreement.

Results

The prevalence of most diseases was higher in the survey than in the registers. The level of agreement was highest when the survey was compared with information combined from both registers. Agreement was almost perfect for Parkinson's disease (ĸ=0.81) and substantial for diabetes (ĸ=0.75) and dementia (ĸ=0.66). For heart disease, hypertension, stroke, cancer, osteoarthritis, depression, and hip fracture, the agreement ranged from fair to moderate.

Conclusion

Self-reported information on chronic diseases shows acceptable agreement with health register data to warrant the use of survey methods in population-based health studies among the oldest old. It is important to acknowledge the gaps in health registers when validating self-reported information against register data.

Changes in self-rated physical and mental health and life satisfaction associated with opioid and potentially inappropriate opioid prescribing in primary care older adults

OBJECTIVE

To examine changes in life satisfaction and physical and mental health associated with opioid and potentially inappropriate opioid prescribing (PIOP) among older adults.

METHODS

Secondary data analysis from the Étude sur la Santé des Aînés (ESA)-Services study. The sample consisted of 945 older adults recruited in primary care with available health survey information linked to administrative medical record data. The exposure of interest was categorized as no prescription, opioid prescription, and PIOP, defined using the Beers criteria. Outcomes were self-rated physical health, mental health, and life satisfaction measured at baseline and at a 3-year follow-up. Generalized estimating equations were used to examine 3-year changes in outcomes as a function of opioid prescribing. Analyses were adjusted for covariates relating to health, psychosocial, and sociodemographic factors as well as duration/frequency of opioid prescribing. Analyses were conducted in the overall sample and in non-cancer patients.

RESULTS

The sample had an average age of 73.1 years; the majority was Canadian-born (96.3%) while females made up over half (55.4%) the sample. Compared to not receiving an opioid prescription, PIOP was associated with a deterioration in physical health (ORadjusted = 0.65; 95%CI = 0.49, 0.86), but not mental health and life satisfaction. In non-cancer patients, PIOP was associated with poorer physical health (ORadjusted = 0.59; 95%CI = 0.40, 0.87) and opioid prescribing was marginally associated with improved life satisfaction (ORadjusted = 1.58; 95%CI = 0.96, 2.60).

CONCLUSION

PIOP was associated with a deterioration in physical health. Patient-centred chronic pain management and the effect on health and well-being require further study in older adults.

Psychiatric and non-psychiatric polypharmacy among older adults with schizophrenia: Trends from a population-based study between 2000 and 2016

Background: Schizophrenia is a severe psychiatric disorder associated with multiple psychiatric and non-psychiatric comorbidities. As adults with schizophrenia age, they may use many medications, i.e., have polypharmacy. While psychiatric polypharmacy is well documented, little is known about trends and patterns of global polypharmacy. This study aimed to draw a portrait of polypharmacy among older adults with schizophrenia from 2000 to 2016. Methods: This population-based cohort study was conducted using the data of the Quebec Integrated Chronic Disease Surveillance System of the National Institute of Public Health of Quebec to characterize recent trends and patterns of medication use according to age and sex. We identified all Quebec residents over 65 years with an ICD-9 or ICD-10 diagnosis of schizophrenia between 2000 and 2016. We calculated the total number of medications used by every individual each year and the age-standardized proportion of individuals with polypharmacy, as defined by the usage of 5+, 10+, 15+, and 20+ different medications yearly. We identified the clinical and socio-demographic factors associated with polypharmacy using robust Poisson regression models considering the correlation of the responses between subjects and analyzed trends in the prevalence of different degrees of polypharmacy. Results: From 2000 to 2016, the median number of medications consumed yearly rose from 8 in 2000 to 11 in 2016. The age-standardized proportion of people exposed to different degrees of polypharmacy also increased from 2000 to 2016: 5+ drugs: 76.6%-89.3%; 10+ drugs: 36.9%-62.2%; 15+: 13.3%-34.4%; 20+: 3.9%-14.4%. Non-antipsychotic drugs essentially drove the rise in polypharmacy since the number of antipsychotics remained stable (mean number of antipsychotics consumed: 1.51 in 2000 vs. 1.67 in 2016). In the multivariate regression, one of the main clinically significant factor associated with polypharmacy was the number of comorbidities (e.g., Polypharmacy-10+: RR_{[2 VS. 0-1]} = 1.4; 99% IC:1.3-1.4, RR_[3-4] = 1.7 (1.7-1.8); RR_[5+] = 2.1 (2.1-2.2); Polypharmacy-15+: RR_{[2 VS 0-1]} = 1.6; 99% IC:1.5-1.7, RR_[3-4] = 2.5 (2.3-2.7); RR_[5+] = 4.1 (3.8-4.5). Conclusion: There was a noticeable increase in polypharmacy exposure among older adults with schizophrenia in recent years, mainly driven by non-antipsychotic medications. This raises concerns about the growing risks for adverse effects and drug-drug interactions in this vulnerable population.

Multiple Chronic Conditions among Seriously Ill Adults Receiving Palliative Care

The objective of this study was to characterize multiple chronic conditions (MCCs) among seriously ill adults receiving palliative care at the end of life. A latent class analysis was conducted to identify latent subgroups of seriously ill older adults based on a baseline Charlson comorbidity index (CCI) measurement, a measure of comorbidity burden, and mortality risk. The three latent subgroups were: (1) low to moderate CCI with MCC, (2) high CCI with MCC, and (3) high CCI and metastatic cancer. The "low to moderate CCI and MCC" subgroup included older adults with chronic obstructive pulmonary disease (COPD), cardiovascular disease, congestive heart failure, myocardial infarction, dementia, diabetes, and lymphoma. A "high CCI and MCC" subgroup included individuals with severe illness including liver or renal disease among other MCCs. A "high CCI and metastatic cancer" included all participants with metastatic cancer. This study sheds light on the MCC profile of seriously ill adults receiving palliative care.

Defining and measuring multimorbidity in primary care in Singapore: Results of an online Delphi study

Multimorbidity, common in the primary care setting, has diverse implications for both the patient and the healthcare system. However, there is no consensus on the definition of multimorbidity globally. Thus, we aimed to conduct a Delphi study to gain consensus on the definition of multimorbidity, the list and number of chronic conditions used for defining multimorbidity in the Singapore primary care setting. Our Delphi study comprised three rounds of online voting from purposively sampled family physicians in public and private settings. Delphi round 1 included open-ended questions for idea generation. The subsequent two rounds used questions with pre-selected options. Consensus was achieved based on a pre-defined criteria following an iterative process. The response rates for the three rounds were 61.7% (37/60), 86.5% (32/37) and 93.8% (30/32), respectively. Among 40 panellists who responded, 46.0% were 31-40 years old, 64.9% were male and 73.0% were from the public primary healthcare setting. Based on the findings of rounds 1, 2 and 3, consensus on the definition of a chronic condition, multimorbidity and finalised list of chronic conditions were achieved. For a condition to be chronic, it should last for six months or more, be recurrent or persistent, impact patients across multiple domains and require long-term management. The consensus-derived definition of multimorbidity is the presence of three or more chronic conditions from a finalised list of 23 chronic conditions. We anticipate that our findings will inform multimorbidity conceptualisation at the national level, standardise multimorbidity measurement in primary care and facilitate resource allocation for patients with multimorbidity.

Efficacy of acute care pathways for older patients: a systematic review and meta-analysis

Meeting the needs of acute geriatric patients is often challenging, and although evidence shows that older patients need tailored care, it is still unclear which interventions are most appropriate. The objective of this study is to systematically evaluate the hospital-wide acute geriatric models compared with conventional pathways. The design of the study includes hospital-wide geriatric-specific models characterized by components including patient-centered care, frequent medical review, early rehabilitation, early discharge planning, prepared environment, and follow-up after discharge. Primary and secondary outcomes were considered, including functional decline, activities of daily living (ADL), length-of-stay (LoS), discharge destination, mortality, costs, and readmission. A systematic review and meta-analysis were conducted in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) guidelines. A total of 20 studies reporting on 15 trials and acutely admitted patients with an average age of 79, complex conditions and comorbidities to acute geriatric-specific pathways (N = 13,595) were included. Geriatric-specific models were associated with lower costs (weighted mean difference, WMD =  - $174.98, 95% CI = -$332.14 to - $17.82; P = 0.03), and shorter LoS (WMD =  - 1.11, 95% CI =  - 1.39 to - 0.83; P < 0.001). No differences were found in functional decline, ADL, mortality, case fatalities, discharge destination, or readmissions. Geriatric-specific models are valuable for improving patient and system-level outcomes. Although several interventions had positive results, further research is recommended to study hospital-wide geriatric-specific models.

Comorbidity phenotypes and risk of mortality in patients with osteoarthritis in the UK: a latent class analysis

BACKGROUND

Osteoarthritis (OA) is a common chronic condition but its association with other chronic conditions and mortality is largely unknown. This study aimed to use latent class analysis (LCA) of 30 comorbidities in patients with OA and matched controls without OA to identify clusters of comorbidities and examine the associations between the clusters, opioid use, and mortality.

METHODS

A matched cohort analysis of patients derived from the IQVIA Medical Research Data (IMRD-UK) database between 2000 and 2019. 418,329 patients with newly diagnosed OA were matched to 243,170 patients without OA to identify comorbidity phenotypes. Further analysis investigated the effect of opioid use on mortality in individuals with OA and their matched controls.

RESULTS

The median (interquartile range (IQR)) number of comorbidities was 2 (1-4) and 1 (0-3) in the OA and control groups respectively. LCA identified six comorbidity phenotypes in individuals with and without OA. Clusters with a high prevalence of comorbidities were characterised by hypertension, circulatory, and metabolic diseases. We identified a comorbidity cluster with the aforementioned comorbidities plus a high prevalence of chronic kidney disease, which was associated with twice the hazard of mortality in hand OA with a hazard ratio (HR) (95% CI) of 2.53 (2.05-3.13) compared to the hazard observed in hip/knee OA subtype 1.33 (1.24-1.42). The impact of opioid use in the first 12 months on hazards of mortality was significantly greater for weak opioids and strong opioids across all groups HR (95% CI) ranging from 1.11 (1.07-11.6) to 1.80 (1.69-1.92)). There was however no evidence of association between NSAID use and altered risk of mortality.

CONCLUSION

This study identified six comorbidity clusters in individuals with OA and matched controls within this cohort. Opioid use and comorbidity clusters were differentially associated with the risk of mortality. The analyses may help shape the development of future interventions or health services that take into account the impact of these comorbidity clusters.

Association of dietary patterns and food groups intake with multimorbidity: A prospective cohort study

BACKGROUND

Although diet has been extensively studied in relation to individual chronic conditions, studies linking diet with multiple chronic conditions (multimorbidity) remained scarce. We aimed to undertake a comprehensive analysis evaluating associations of overall dietary patterns and specific food groups with long-term risk of multimorbidity.

METHODS

The study included 348,290 participants from UK Biobank who completed eligible food frequency questionnaires (FFQ) and were not diagnosed with any of the 38 chronic or mental health conditions of interest at baseline (2006-2010). Dietary patterns were identified using exploratory factor analysis. Cox regression models were used to estimate corresponding hazard ratios (HRs) and 95% confidence intervals (CIs).

RESULTS

The median follow-up was 8.01 years, and 50,837 (14.60%) participants developed multimorbidity. Among the three identified dietary patterns, the Western Pattern was associated with an increased risk of multimorbidity (HR_{Q5 vs Q1} = 1.06, 95% CI: 1.03-1.09), while inverse associations were observed for moderate adherence to the White Meat Pattern (HR_{Q3vs Q1} = 0.97, 95% CI: 0.94-0.99) and highest adherence to the Prudent Pattern (HR_{Q5 vs Q1} = 0.92, 95% CI: 0.90-0.95). For specific food groups, more frequent intakes of processed meat and poultry were associated with higher risks of multimorbidity, whereas higher intake frequency of fish and more intakes of fruits and cereal were associated with decreased risks.

CONCLUSION

Dietary patterns and specific food groups are associated with the risk of multimorbidity. These findings suggest the importance of considering dietary interventions in the prevention and management of multimorbidity.

Minimally Adequate Treatment for Depression and Anxiety Associated With Mortality in Primary Care Older Adults

OBJECTIVE

To assess the association between receipt of minimally adequate treatment (MAT) and mortality in a sample of community primary care older adults with depression and anxiety.

METHOD

The present study was conducted among a sample of 358 older adults ( ≥ 65 years old) with depression or an anxiety disorder recruited in primary care practices between 2011 and 2013. Participants agreed to link their health survey and administrative data for the 3 years preceding and following the baseline interview. Depression and anxiety disorders were based on self-reported symptoms aligned with DSM-5 criteria and physician diagnoses (International Classification of Diseases [ICD], 9^th and 10^th revisions). MAT was defined according to Canadian guidelines and include receipt of pharmacotherapy and ≥ 4 medical visits within 3 months or a number of psychotherapy sessions (individual, group, or family) over 12 months (depression: ≥8; anxiety disorders: ≥5 to 7). All-cause 3-year mortality was ascertained from the vital statistics death registry in Québec. Propensity score weighted regression analysis was conducted to assess the association between receipt of MAT and mortality adjusting for individual, clinical, and health system study factors.

RESULTS

Receipt of MAT was associated with a reduced risk of mortality (hazard ratio [HR]: 0.27; 95% confidence interval [95% CI], 0.12 to 0.62). Individual and clinical factors associated with increased mortality included older age, male sex, being single, low functional status, and increased physical disorders and cognitive functioning. Lifestyle factors associated with reduced and increased mortality included alcohol consumption and smoking, respectively. Health system factors such as perceived adequate number of visits to speak to the doctor about emotional problems and continuity of care were associated with reduced mortality.

CONCLUSION

The current study highlights the important role of primary care physicians in detecting and providing MAT for older adults with depression and anxiety, as this may have an effect on longevity.

Costs of multimorbidity: a systematic review and meta-analyses

BACKGROUND

Multimorbidity is a rising global phenomenon, placing strains on countries' population health and finances. This systematic review provides insight into the costs of multimorbidity through addressing the following primary and secondary research questions: What evidence exists on the costs of multimorbidity? How do costs of specific disease combinations vary across countries? How do multimorbidity costs vary across disease combinations? What "cost ingredients" are most commonly included in these multimorbidity studies?

METHODS

We conducted a systematic review (PROSPERO: CRD42020204871) of studies published from January 2010 to January 2022, which reported on costs associated with combinations of at least two specified conditions. Systematic string-based searches were conducted in MEDLINE, The Cochrane Library, SCOPUS, Global Health, Web of Science, and Business Source Complete. We explored the association between costs of multimorbidity and country Gross Domestic Product (GDP) per capita using a linear mixed model with random intercept. Annual mean direct medical costs per capita were pooled in fixed-effects meta-analyses for each of the frequently reported dyads. Costs are reported in 2021 International Dollars (I$).

RESULTS

Fifty-nine studies were included in the review, the majority of which were from high-income countries, particularly the United States. (1) Reported annual costs of multimorbidity per person ranged from I$800 to I$150,000, depending on disease combination, country, cost ingredients, and other study characteristics. (2) Our results further demonstrated that increased country GDP per capita was associated with higher costs of multimorbidity. (3) Meta-analyses of 15 studies showed that on average, dyads which featured Hypertension were among the least expensive to manage, with the most expensive dyads being Respiratory and Mental Health condition (I$36,840), Diabetes and Heart/vascular condition (I$37,090), and Cancer and Mental Health condition in the first year after cancer diagnosis (I$85,820). (4) Most studies reported only direct medical costs, such as costs of hospitalization, outpatient care, emergency care, and drugs.

CONCLUSIONS

Multimorbidity imposes a large economic burden on both the health system and society, most notably for patients with cancer and mental health condition in the first year after cancer diagnosis. Whether the cost of a disease combination is more or less than the additive costs of the component diseases needs to be further explored. Multimorbidity costing studies typically consider only a limited number of disease combinations, and few have been conducted in low- and middle-income countries and Europe. Rigorous and standardized methods of data collection and costing for multimorbidity should be developed to provide more comprehensive and comparable evidence for the costs of multimorbidity.

Improving multimorbidity measurement using individualized disease-specific quality of life impact assessments: predictive validity of a new comorbidity index

Background

Interpretation of health-related quality of life (QOL) outcomes requires improved methods to control for the effects of multiple chronic conditions (MCC). This study systematically compared legacy and improved method effects of aggregating MCC on the accuracy of predictions of QOL outcomes.

Methods

Online surveys administered generic physical (PCS) and mental (MCS) QOL outcome measures, the Charlson Comorbidity Index (CCI), an expanded chronic condition checklist (CCC), and individualized QOL Disease-specific Impact Scale (QDIS) ratings in a developmental sample (N = 5490) of US adults. Controlling for sociodemographic variables, regression models compared 12- and 35-condition checklists, mortality vs. population QOL-weighting, and population vs. individualized QOL weighting methods. Analyses were cross-validated in an independent sample (N = 1220) representing the adult general population. Models compared estimates of variance explained (adjusted R²) and model fit (AIC) for generic PCS and MCS across aggregation methods at baseline and nine-month follow-up.

Results

In comparison with sociodemographic-only regression models (MCS R² = 0.08, PCS = 0.09) and Charlson CCI models (MCS R² = 0.12, PCS = 0.16), increased variance was accounted for using the 35-item CCC (MCS R² = 0.22, PCS = 0.31), population MCS/PCS QOL weighting (R² = 0.31–0.38, respectively) and individualized QDIS weighting (R² = 0.33 & 0.42). Model R² and fit were replicated upon cross-validation.

Conclusions

Physical and mental outcomes were more accurately predicted using an expanded MCC checklist, population QOL rather than mortality CCI weighting, and individualized rather than population QOL weighting for each reported condition. The 3-min combination of CCC and QDIS ratings (QDIS-MCC) warrant further testing for purposes of predicting and interpreting QOL outcomes affected by MCC.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12955-022-02016-7.

Loneliness and Depression among Community Older Adults during the COVID-19 Pandemic: A cross-sectional study

BACKGROUND

Social isolation has been recommended for reducing older adults' mortality and severe cases of COVID illness. That has resulted in unavoidable consequences of mental ill-health. This study aimed to examine the impact of the COVID-19 lockdown on the development of loneliness and depression and to analyse the factors associated with these conditions among community-dwelling older adults in Jordan.

METHODS

A cross-sectional survey was conducted with a random sample of 456 community older adults contacted by telephone three weeks after the first pandemic lockdown in April 2020. The study instrument included the screening three-item UCLA Loneliness Scale, the Geriatric Depression Scale, and relevant medical and functional history.

RESULTS

The mean age was 72.48 ± 6.84 years, and 50.2% were women. 41.4% were lonely, and of those 62% had a positive screen for depression. The mean UCLA score was significantly higher during the lockdown than before. Loneliness was significantly associated with being unmarried, having never worked previously, and being functionally dependent. Lonely participants were 1.65 times more likely to have depression. Likewise, a previous history of depression and cognitive impairment, multimorbidity, poor self-perceived health, and concern about contracting COVID infection were significant predictors of depression.

CONCLUSION

The COVID-19 pandemic has had a heavy toll on older adults' mental health, particularly those with multimorbidity, baseline functional dependence, and those with a previous history of depression and cognitive impairment. Targeting these high-risk groups is important in order to minimize loneliness, depression, and subsequent increased morbidity. Using all-inclusive language might minimize ageism and the fear of catching an infection.

Perceived Need for Mental Health Care and Associated Factors and Outcomes in Older Adults Consulting in Primary Care

OBJECTIVE

To assess the individual and health system factors and health-related outcomes associated with perceived need for mental health care in older adults consulting in primary care.

METHOD

This longitudinal cohort study was conducted among 771 cognitively intact older adults aged ≥65 years recruited in primary care practices in Quebec between 2011 and 2013 and followed 4 years later. Predisposing, enabling and need factors were based on Andersen's framework on help-seeking behaviors. Health-related outcomes included course of common mental disorders (CMDs), change in quality of life and societal costs. Perceived need for care (PNC) was categorized as no need, met and unmet need. Multinomial regression analyses were conducted to assess the association between study variables and PNC in the overall and the subsample of participants with a CMD at baseline.

RESULTS

As compared with individuals reporting no need, those with an unmet need were more likely to have cognitive decline and lower continuity of care; while those with a met need were more likely to report decreased health-related quality of life. As compared with individuals with an unmet need, those reporting a met need were more likely to report ≥ 3 physical diseases and an incident and persistent CMD, and less likely to show cognitive decline. In participants with a CMD, individuals reporting a met as compared with no need were more likely to be categorized as receiving minimally adequate care and a persistent CMD. Need for care was not associated with societal costs related to health service use.

CONCLUSIONS

Overall, physicians should focus on individuals with cognitive impairment and lower continuity of care which was associated with unmet mental health need. Improved follow-up in these populations may improve health care needs and outcomes.

PROTOCOL: The association between marital transitions and physical and mental health in late life: A systematic review

This is the protocol for a Campbell systematic review. The objectives are as follows: What is the association between marital transitions and physical health among people older than 60? What is the association between marital transitions and mental health among people older than 60? What is the role of gender, age, and education on the association between marital transitions and health among people older than 60? What is the influence of geographical region, housing, neighborhood, and social support on the association between marital transitions and health status among people older than 60?

Different profiles among older adults with HIV according to their chronological age and the year of HIV diagnosis: The FUNCFRAIL cohort study (GeSIDA 9817)

Background

People in their fifties with HIV are considered older adults, but they appear not to be a homogeneous group.

Objective

To evaluate the differences among older adults with HIV according to their chronological age and the year of HIV diagnosis.

Methods

Cross-sectional study of the FUNCFRAIL cohort. Patients 50 or over with HIV were included and were stratified by both chronological age and the year of HIV diagnosis: before 1996 (long-term HIV survivors [LTHS]) and after 1996. We recorded sociodemographic data, HIV-related factors, comorbidities, frailty, physical function, other geriatric syndromes, and quality of life (QOL).

Results

We evaluated 801 patients. Of these, 24.7% were women, 47.0% were LTHS, and 14.7% were 65 or over. Of the 65 or over patients, 73% were diagnosed after 1996. Higher rates of comorbidities among LTHS were found, being the more prevalent: COPD, history of cancer, osteoarthritis, depression, and other psychiatric disorders while the more prevalent among the 65 or over patients were: hypertension, diabetes, dyslipidemia, cancer, and osteoarthritis. LTHS showed a significantly worse QOL. There were no differences by the year of HIV diagnosis regarding frailty and functional impairment (SPPB <10) but they were more than twice as prevalent in the 65 or over patients compared to the other chronological age groups.

Conclusions

A LTHS and a 65 or over person are both “older adults with HIV,” but their characteristics and requirements differ markedly. It is mandatory to design specific approaches focused on the real needs of the different profiles.

Pain, functional disability and mental disorders as potential mediators of the association between chronic physical conditions and suicidal ideation in community living older adults

OBJECTIVES

To examine the associations between chronic physical conditions and suicidal ideation and to assess whether associations are mediated by pain, anxiety, depression, post-traumatic stress syndrome (PTSS), and functional disability.

METHODS

The study sample includes 1533 older adults aged 65+ recruited in primary care clinics between 2011-2013 and participating in Quebec's Health Survey on Services "Étude sur la Santé des Aînés-Services" (ESA-S) study. Path analysis was used to assess the associations. The presence of suicidal behaviour was ascertained using 4 questions. PTSS was based on a validated scale for primary care older adults. Anxiety and depression were assessed according to DSM-IV criteria. Pain was self-reported on an ordinal scale and functional disability was based on the presence of disability in 8 dimensions of activities of daily living. The main predictors included a list of 13 physical disorders identified by diagnostic codes. Suicidal ideation was also controlled by a number of socio-demographic and psychosocial factors.

RESULTS

PTSS, depression, and functional disability mediate the association between various chronic conditions and suicidal ideation. Although pain and anxiety are associated with many physical disorders, they did not mediate the association with suicidal ideation.

CONCLUSIONS

Chronic physical disorders are associated with suicidal ideation, either directly or indirectly through PTSS, depression, and functional disability. The findings underscore the importance of early identification and management of older patients with specific chronic disorders in primary care as they may be most at risk for suicidal ideation.

The Perceived Risk of Hospitalization in Primary Health Care – The Importance of Multidimensional Assessment

Ageing has increased the use of health services, with a corresponding rise in avoidable hospitalizations. We aimed to assess and characterize the perceived risk of hospitalization in primary health care (PHC). 118 individuals aged ≥65 years, PHC patients, were assessed using the Community Risk Assessment Instrument by their General Practitioner, who identified their perceived risk of hospitalization, at one year. The instrument is composed of three domains (mental state, daily living activities (ADLs) state and medical state). Multivariate logistic regression was used to identify the best model to predict the risk of hospitalization. Four models were estimated, one for each domain and one with all the variables of the instrument. 58.5% were identified as being at risk of hospitalization. The best predictive models are those that include functionality assessment variables (ADL model and Community Assessment of Risk Instrument model). The model that includes all the variables of three domains presents the best predictive value. Mobility problems (Odds Ratio (OR) 16.18 [CI: 1.63–160.53]), meal preparation (OR 10.93 [CI: 1.59–75.13]), communication (OR 6.91 [CI: 1.37–34.80]) and palliative care (OR 4.84 [CI: 1.14–20.58]) are the best predictors of hospitalization risk. The use of multidimensional assessment tools can allow the timely identification of people at risk, contributing to a reduction in hospitalizations.

Factors associated with late-life psychosis in primary care older adults without a diagnosis of dementia

PURPOSE

The epidemiology of late-life psychosis (LLP) remains unclear comparatively to early-onset psychosis. The study aims to estimate the prevalence and incidence of LLP over a 3-year period and examine the correlates of LLP in community-living older adults aged ≥ 65 years recruited in primary care.

METHODS

Study sample included N = 1481 primary care older adults participating in the Étude sur la Santé des Aînés (ESA)-Services study. Diagnoses were obtained from health administrative and self-reported data in the 3 years prior and following baseline interview. The prevalence and incidence of LLP (number of cases) were identified in the 3-year period following interview. Participants with dementia or psychosis related to dementia were excluded. Logistic regressions were used to ascertain the correlates of LLP as function of various individual and health system factors.

RESULTS

The 3-year prevalence and incidence of LLP was 4.7% (95% CI = 3.64-5.81) and 2.8% (95% CI = 1.99-3.68), respectively. Factors associated with both prevalent and incident LLP included functional status, number of physical diseases, hospitalizations, continuity of care and physical activity. Older age and the presence of suicidal ideation were associated with incident LLP, while higher education, a depressive disorder and a history of sexual assault were associated with persistent cases.

CONCLUSIONS

Results highlight the importance of LLP in primary care older adult patients without dementia. Health system factors were consistent determinants of prevalent and incident LLP, suggesting the need for better continuity of care in at-risk primary care older adults.

The prevalence of physical multimorbidity among people with non-affective psychotic disorders 10 years after first diagnosis: a matched retrospective cohort study

AIMS

The higher prevalence of chronic physical health conditions among people with psychotic disorders may result in a reduced life expectancy as compared to the general population. More research is needed on the risk of multiple co-occurring chronic health conditions, known as multimorbidity, for people with psychotic disorders.

METHODS

We conducted a matched retrospective cohort study to quantify the prevalence of multimorbidity and associated factors among people with psychotic disorders over the 10-year period following first diagnosis, relative to those without psychosis. Data from an early psychosis intervention program in London, Canada were linked to population-based health administrative data to identify patients with first-episode psychosis (n = 439), and a comparison group from the general population (n = 1759) matched on age, sex, and postal code. We followed the cohort for 10 years to ascertain the prevalence of multimorbidity. We compared people with and without psychosis using modified Poisson regression models, and explored risk factors for multimorbidity among those with psychotic disorders.

RESULTS

People with psychotic disorders may have a 26% higher prevalence of multimorbidity 10 years following first diagnosis, although our findings include the possibility of a null effect (PR = 1.26, 95% CI 0.96-1.66). People with psychosis living in areas with the highest levels of material deprivation had a threefold higher prevalence of multimorbidity as compared to those in the lowest areas of material deprivation (PR = 3.09, 95% CI 1.21-7.90).

CONCLUSION

Multimorbidity is prevalent among those with psychosis, and assessment for chronic health conditions should be integrated into clinical care for younger populations with psychotic illness.

Gender differences in the association of obesity-related measures with multi-morbidity among older adults in India: evidence from LASI, Wave-1

Background

Co-existence of multiple chronic diseases is increasingly becoming a norm among ageing population. The study aims to investigate the prevalence of multimorbidity and the association between anthropometric measures of obesity and multimorbidity among men and women aged 60 years and above in India.

Methods

The present study is based on the first wave of the Longitudinal Aging Study in India. The analytical sample size for the study was 28,050 older adults aged 60 years and above. Descriptive statistics and multivariable analysis using logistic regression models were conducted.

Results

Body Mass Index (BMI) based-obesity is more prevalent among older women than men (26.3% vs. 17.6%). Similarly, higher proportion of older women was at high-risk waist circumference (37.1% vs 8.9%) and waist-hip ratio (78.5 vs 75.4%) than men respectively. In Model-I, after controlling for several covariates, older adults with overweight/obesity were 1.6 times more likely to have multi-morbidity than non-obese older adults (Adjusted OR = 1.61; 95% CI: 1.48–1.74). Similarly, older adults with high-risk waist circumference [Adjusted OR: 1.66; 95% CI: 1.52–1.80] and waist-hip ratio [Adjusted OR: 1.45; 95% CI: 1.33–1.59] also had higher odds of having multi-morbidity in reference to their counterparts. In model-3 it was found that females with high-risk waist-hip ratio had 14% lower odds of multimorbidity than males with high-risk waist-hip ratio [Adjusted OR: 0.86; 95%CI: 0.78–0.94].

Conclusion

The findings of the study show significant gender difference in the prevalence of multimorbidity, men being at increased risk in the multivariate analysis which is uncommon in the existing epidemiological research. Interactive effect of male gender with anthropometric measures on multimorbidity reported in our study probably due to increased unhealthy behaviours among men requires further research.

Diurnal effects of polypharmacy with high drug burden index on physical activities over 23 h differ with age and sex

Aging, polypharmacy (concurrent use of ≥ 5 medications), and functional impairment are global healthcare challenges. However, knowledge of the age/sex-specific effects of polypharmacy is limited, particularly on daily physical activities. Using continuous monitoring, we demonstrated how polypharmacy with high Drug Burden Index (DBI—cumulative anticholinergic/sedative exposure) affected behaviors over 23 h in male/female, young/old mice. For comparison, we also evaluated how different drug regimens (polypharmacy/monotherapy) influenced activities in young mice. We found that after 4 weeks of treatment, high DBI (HDBI) polypharmacy decreased exploration (reduced mean gait speed and climbing) during the habituation period, but increased it during other periods, particularly in old mice during the transition to inactivity. After HDBI polypharmacy, mean gait speed consistently decreased throughout the experiment. Some behavioral declines after HDBI were more marked in females than males, indicating treatment × sex interactions. Metoprolol and simvastatin monotherapies increased activities in young mice, compared to control/polypharmacy. These findings highlight that in mice, some polypharmacy-associated behavioral changes are greater in old age and females. The observed diurnal behavioral changes are analogous to drug-induced delirium and sundowning seen in older adults. Future mechanistic investigations are needed to further inform considerations of age, sex, and polypharmacy to optimize quality use of medicines.

Equity in healthcare access and service coverage for older people: a scoping review of the conceptual literature

There is currently no global review of the conceptual literature on the equity of healthcare coverage (including access) for older people. It is important to understand the factors affecting access to health and social care for this group, so that policy and service actions can be taken to reduce potential inequities. A scoping review of published and grey literature was conducted with the aim of summarising how health and social care service access and coverage for older people has been conceptualised. PubMed, MEDLINE, PsycINFO, CINAHL, Web of Science, SciELO, LILACS, BIREME and Global Index Medicus were searched. Selection of sources and data charting were conducted independently by two reviewers. The database searches retrieved 10 517 citations; 32 relevant articles were identified for inclusion from a global evidence base. Data were summarised and a meta-framework and model produced listing concepts specific to equitable health and social care service coverage relating to older people. The meta-framework identified the following relevant factors: acceptability, affordability, appropriateness, availability and resources, awareness, capacity for decision-making, need, personal social and cultural circumstances, physical accessibility. This scoping review is relevant to the development and specification of policy for older people. It conceptualises those factors, such as acceptability and affordability, that affect an older person's ability and capacity to access integrated, person-centred health and social care services in a meaningful way. These factors should be taken into account when seeking to determine whether equity in service use or access is being achieved for older people.

Body mass index and cognitive decline among community-living older adults: the modifying effect of physical activity

Objective

To examine the associations between BMI categories and subsequent 3-year cognitive decline among older adults, and to test whether physical activity modifies the associations.

Methods

Study sample included n = 1028 cognitively unimpaired older adults participating in the Étude sur la Santé des Aînés (ESA)-Services longitudinal study and followed 3 years later. Cognitive decline was defined as a decrease of > 3 points in MMSE scores between baseline and follow-up. BMI categories (normal weight (reference), underweight, overweight, obese) were derived from self-reported weight and height. Moderate to vigorous physical activity of ≥20 min (# of times per week) was self-reported. The presence of chronic disorders was ascertained from administrative and self-reported data. Logistic regression analyses were used to study the risk of cognitive decline associated with BMI categories stratified by weekly physical activity (≥140 min), the presence of metabolic, cardiovascular and anxio-depressive disorders.

Results

In the overall sample, there was no evidence that underweight, overweight, or obesity, as compared to normal weight, was associated with cognitive decline, after adjusting for sociodemographic, lifestyle factors, and comorbidities. Individuals with overweight reporting high physical activity had lower odds of cognitive decline (OR = 0.25, 95% CI = 0.07–0.89), whereas no association was observed in individuals with overweight reporting low physical activity (OR = 0.85, 95% CI = 0.41–1.75). Among participants with metabolic and cardiovascular disorders, individuals with overweight reporting high physical activity had lower odds of cognitive decline (OR = 0.09, 95% CI = 0.01–0.59 and OR = 0.03, 95% CI = 0.01–0.92 respectively), whereas no association was observed in those with low physical activity.

Conclusion

Physical activity modifies the association between overweight and cognitive decline in older adults overall, as in those with metabolic and cardiovascular disorders. Results highlight the importance of promoting and encouraging regular physical activity in older adults with overweight as prevention against cognitive decline.

Supplementary Information

The online version contains supplementary material available at 10.1186/s11556-022-00284-2.

Sociodemographic Differences in Multimorbidity: A Closer Look from Indonesian Family and Life Survey

The prevalence of multimorbidity, the coexistence of two or more chronic diseases, is expected to increase, including in Indonesia. This phenomenon is associated with increased life expectancy and incidence of non-communicable diseases. Therefore, this study assesses the burden of multimorbidity in Indonesia by sociodemographic factors. The researchers analyzed cross-sectional data from the latest wave of IFLS conducted in 2014, the IFLS wave 5. The researchers included individuals aged 15 and above with blood pressure measurements (n= 32.256) from 13,536 households. Meanwhile, the researchers excluded individuals with missing data on BMI (183 individuals) or who had biologically implausible or extreme values (n=6). The analyses were then conducted on 32,067 individuals. The analyses comprised the ten most common self-reported chronic diseases diagnosis in IFLS-5. The findings revealed that the prevalence of self-reported multimorbidity in Indonesia was relatively high, at 9.32% (n= 2.989), with the highest proportion of multimorbidity reported among the elderly. Approximately 2.76% of the respondents (n- 885) reported having three or more chronic diseases. The most common combinations were hypertension and digestive problem (2.15%, n= 689), followed by hypertension and arthritis (1.79%, n= 574), and hypertension and high cholesterol (1.68%, n= 539). When stratified by sociodemographic factors, the researchers found a higher proportion of multimorbidity among females (11.01%, n= 3,530) compared to males (7.41%, n= 2.376), elderly (21.54%, n= 3.530) compared to younger adults, and previous smokers (20.90%, n= 6.072). People who were obese and overweight also reported a higher prevalence of multimorbidity (13.73%, n= 4.403 and 9.3%, n= 2.998, respectively). In addition, those living in urban areas had a higher proportion of multimorbidity (10.33%, n= 3.313) compared to rural areas (7.2%, n= 2.527). In conclusion, this study uncovered a relatively high prevalence of multimorbidity. People living in urban areas were overweight/obese and those who had low SES had a higher proportion of multimorbidity. With the nature of self-reported data and previously reported underdiagnosis of chronic diseases, screening to examine multimorbidity is needed.

Trends in Cardiometabolic and Cancer Multimorbidity Prevalence and Its Risk With All-Cause and Cause-Specific Mortality in U.S. Adults: Prospective Cohort Study

Several prospective cohort studies have assessed the association between multimorbidity and all-cause mortality, but the findings have been inconsistent. In addition, limited studies have assessed the association between multimorbidity and cause-specific mortality. In this study, we used the population based cohort study of National Health Interview Survey (1997–2014) with linkage to the National Death Index records to 31 December 2015 to examine the trends in prevalence of multimorbidity from 1997 to 2014, and its association with the risk of all-cause and cause-specific mortality in the U.S. population. A total of 372,566 adults aged 30–84 years were included in this study. From 1997 to 2014, the age-standardized prevalence of specific chronic condition and multimorbidity increased significantly (P < 0.0001). During a median follow-up of 9.0 years, 50,309 of 372,566 participants died from all causes, of which 11,132 (22.1%) died from CVD and 13,170 (26.2%) died from cancer. Compared with participants without the above-mentioned chronic conditions, those with 1, 2, 3, and ≥4 of chronic conditions had 1.41 (1.37–1.45), 1.94 (1.88–2.00), 2.64 (2.54–2.75), and 3.68 (3.46–3.91) higher risk of all-cause mortality after adjustment for important covariates. Similarly, a higher risk of CVD-specific and cancer-specific mortality was observed as the number of chronic conditions increased, with the observed risk stronger for CVD-mortality compared with cancer-specific mortality. Given the prevalence of multimorbidity tended to increase from 1997 to 2014, our data suggest effective prevention and intervention programs are necessary to limit the increased mortality risk associated with multimorbidity.

DNA methylation in genes associated with the evolution of ageing and disease: A critical review

Ageing is characterised by a physical decline in biological functioning which results in a progressive risk of mortality with time. As a biological phenomenon, it is underpinned by the dysregulation of a myriad of complex processes. Recently, however, ever-increasing evidence has associated epigenetic mechanisms, such as DNA methylation (DNAm) with age-onset pathologies, including cancer, cardiovascular disease, and Alzheimer's disease. These diseases compromise healthspan. Consequently, there is a medical imperative to understand the link between epigenetic ageing, and healthspan. Evolutionary theory provides a unique way to gain new insights into epigenetic ageing and health. This review will: (1) provide a brief overview of the main evolutionary theories of ageing; (2) discuss recent genetic evidence which has revealed alleles that have pleiotropic effects on fitness at different ages in humans; (3) consider the effects of DNAm on pleiotropic alleles, which are associated with age related disease; (4) discuss how age related DNAm changes resonate with the mutation accumulation, disposable soma and programmed theories of ageing; (5) discuss how DNAm changes associated with caloric restriction intersect with the evolution of ageing; and (6) conclude by discussing how evolutionary theory can be used to inform investigations which quantify age-related DNAm changes which are linked to age onset pathology.

Socioeconomic variation of multimorbidity in Colombian older adults

Multimorbidity (MM) prevalence among older adults is increasing worldwide. Variations regarding the socioeconomic characteristics of the individuals and their context have been described, mostly in high-income settings. However, further research is needed to understand the effect of the coexistence of infectious diseases along with socioeconomic factors regarding MM. This study aims to examine the variation of MM regarding infectious diseases mortality after adjusting for socioeconomic factors. A cross-sectional multilevel study with a nationally representative sample of 17,571 Colombian adults of 60 years of age or older was conducted. Individual socioeconomic, demographic, childhood and health related characteristics, as well as group level variables (multidimensional poverty index and infectious diseases mortality rate) were analyzed. A two-level stepwise structural equation model was used to simultaneously adjust for the individual and contextual effects. Multimorbidity prevalence was 62.3% (95% CI 61.7–62.9). In the multilevel adjusted models, age, female sex, having functional limitations, non-white ethnicity, high body mass index, higher income, physical inactivity and living in urban areas were associated with multimorbidity among the sample for this study. The median odds ratio for multidimensional poverty was 1.18 (1.16–1.19; p = 0.008) and for infectious diseases was 1.25 (1.22–1.28; p = 0.014). This paper demonstrates that MM varies regarding the mortality of infectious diseases and shows a strong association between MM and poverty in a low-middle income country. Differences in the factors involved in the etiology of multimorbidity are expected among wealthy and poor countries regarding availability and prioritization of health services.

Long-Term Survival of Older Patients Hospitalized for COVID-19. Do Clinical Characteristics upon Admission Matter?

Older adults are particularly susceptible to COVID-19 in terms of both disease severity and risk of death. To compare clinical differences between older COVID-19 hospitalized survivors and non-survivors, we investigated variables influencing mortality in all older adults with COVID-19 hospitalized in Poznań, Poland, through the end of June 2020 (n = 322). In-hospital, post-discharge, and overall 180-day mortality were analyzed. Functional capacity prior to COVID-19 diagnosis was also documented. The mean age of subjects was 77.5 ± 10.0 years; among them, 191 were females. Ninety-five (29.5%) died during their hospitalization and an additional 30 (9.3%) during the post-discharge period (up to 180 days from the hospital admission). In our study, male sex, severe cognitive impairment, underlying heart disease, anemia, and elevated plasma levels of IL-6 were independently associated with greater mortality during hospitalization. During the overall 180-day observation period (from the hospital admission), similar characteristics, excluding male sex and additionally functional impairment, were associated with increased mortality. During the post-discharge period, severe functional impairment remained the only determinant. Therefore, functional capacity prior to diagnosis should be considered when formulating comprehensive prognoses as well as care plans for older patients infected with SARS-CoV-2.

Comparison of a polypharmacy-based scale with Charlson comorbidity index to predict 6-month mortality in chronic complex patients after an ED visit

AIMS

The aim of this study was to test whether a newly designed polypharmacy-based scale would perform better than Charlson's Comorbidity Index (CCI) to predict outcomes in chronic complex adult patients after a reference Emergency Department (ED) visit.

METHODS

We built a polypharmacy-based scale with prespecified drug families. The primary outcome was 6-month mortality after the reference ED visit. Predefined secondary outcomes were need for hospital admission, 30-day readmission, and 30-day and 90-day mortality. We evaluated the ability of the CCI and the polypharmacy-based scale to independently predict 6-month mortality using logistic regression, receiver operating characteristic (ROC) curves, and cumulative survival curves using Kaplan-Meier estimates and the log-rank test for three-category distributions of the polypharmacy-based scale and the CCI. Finally, we sought to replicate our results in two different external validation cohorts.

RESULTS

We included 201 patients (53.7% women, mean age = 81.4 years), 162 of whom were admitted to the hospital at the reference ED visit. In separate multivariable analyses accounting for gender, age and main diagnosis at discharge, both the polypharmacy-based scale (P < .001) and the CCI (P = .005) independently predicted 6-month mortality. The polypharmacy-based scale performed better in the ROC analyses (area under the curve [AUC] = 0.838, 95% confidence interval [CI] = 0.780-0.896) than the CCI (AUC = 0.628, 95% CI = 0.548-0.707). In the 6-month cumulative survival analysis, the polypharmacy-based scale showed statistical significance (P < .001), whereas the CCI did not (P = .484). We replicated our results in the validation cohorts.

CONCLUSIONS

Our polypharmacy-based scale performed significantly better than the CCI to predict 6-month mortality in chronic complex patients after a reference ED visit.

Treatment adequacy and remission of depression and anxiety disorders and quality of life in primary care older adults

BACKGROUND

Studies on the long-term outcomes of receiving adequate treatment for depression and anxiety disorders are scarce. The aims of this study were to assess the association between adequacy of care and remission of common mental disorders (CMD) and change in quality of life among a population of older adults consulting in primary care.

METHODS

The study was conducted among 225 older adults with a CMD who participated in the longitudinal ESA-Services study. Adequacy of care was assessed using administrative and self-reported data and was based on Canadian guidelines and relevant literature. CMD were measured at baseline and follow-up using self-reported measures (DSM-5 criteria) and physician diagnostic codes (International Classification of Diseases, 9^th and 10^th revisions) for depression and anxiety disorders. The remission of CMD was defined by the presence of at least one disorder at baseline and absence at follow-up. Quality of life was measured at baseline and follow-up using a visual analog scale and the Satisfaction With Life Scale. To estimate the probability to receive adequate/inadequate care, a propensity score was calculated, and analyses were weighted by the inverse probability. Weighted multivariable analyses were carried out to assess the remission of CMD and change in quality of life as a function of adequacy of care controlling for individual and health system factors.

RESULTS

Results showed that 40% of older adults received adequate care for CMD and 55% were in remission at follow-up. Adequacy of care was associated with remission of CMD (AOR: 0.66; CI 0.45-0.97; p-value: 0.032). Participants receiving adequate care had an improvement between baseline and follow-up of 0.7 (beta: 0.69, CI 0.18; 1.20, p = 0.008) point on the Satisfaction With Life Scale, while a marginal association was observed with improvement in HRQOL (beta: 2.83, CI 0.12; 5.79, p = 0.060).

CONCLUSION

The findings contribute to the rare observational studies on the association between adequacy of care for CMD and long-term treatment effects. Future studies on population effectiveness should focus on patient indicators of quality of care which may better predict long-term outcomes for patients with depression and anxiety.

The association between chronic pain conditions and subclinical and clinical anxiety among community-dwelling older adults consulting in primary care

OBJECTIVE

To examine associations between chronic pain conditions, pain level, and subclinical/clinical anxiety in community-dwelling older adults.

DESIGN

Cross-sectional associations were analyzed using multinomial logistic regression to compare the odds of having subclinical/clinical anxiety by painful condition and pain level, controlling for confounders.

SETTING

Participants were recruited in primary care waiting rooms to take part in the first wave of the Étude sur la Santé des Aînés (ESA)-Services study.

SUBJECTS

1608 older adults aged 65+.

METHODS

Clinical anxiety was assessed using DSM-IV criteria. Subclinical anxiety was considered present when participants endorsed symptoms of anxiety but did not fulfill clinical diagnostic criteria for an anxiety disorder. Painful chronic conditions included arthritis, musculoskeletal conditions, gastrointestinal problems, and headaches/migraines. Presence of painful conditions was assessed using combined self-report and health administrative data sources. Pain level was self-reported on an ordinal scale. Physical comorbidities were identified from ICD-9/10 diagnostic codes and depression was evaluated based on the DSM-IV.

RESULTS

Sixty-six percent of home-living older adults suffer from a chronic pain condition. Older adults with clinical anxiety are more likely to experience musculoskeletal pain, gastrointestinal problems, headaches/migraines, and higher pain levels compared to those with no anxiety. Also, those with ≥3 painful conditions are at greater risk for subclinical and clinical anxiety compared to those with no painful condition.

CONCLUSIONS

These results emphasize the need for assessing anxiety symptoms in older adults with chronic pain conditions. Comprehensive management of comorbid chronic pain and psychopathology might help reduce the burden for patients and the healthcare system.

Absenteeism-Related Wage Loss Associated With Multimorbidity Among Employed Adults in the United States

OBJECTIVE

To estimate the incremental absenteeism-related wage loss associated with multimorbidity and examine the influence of paid sick leave policy (PSLP) on multimorbidity-associated absenteeism wage loss.

METHODS

We used the Medical Expenditure Panel Survey (MEPS) 2015 data. Two-part generalized linear models (GLM) were employed, using binomial distribution and gamma distribution with a log link.

RESULTS

Nationally, multimorbidity was associated with a $9 billion incremental absenteeism-related wage loss annually among working adults. Absenteeism-related wage loss was higher among those with multimorbidity than those without multimorbidity. The incremental annual absenteeism-related wage loss associated with multimorbidity was lower in settings that offered paid sick leave than that did not offer paid sick leaves.

CONCLUSION

Multimorbidity is associated with higher absenteeism-related wage loss. Paid sick leave policies can reduce the impact of multimorbidity on absenteeism-related wage loss.

Management and patient safety of complex elderly patients in primary care during the COVID-19 pandemic in the UK-Qualitative assessment

OBJECTIVES

The study aims to investigate GPs' experiences of how UK COVID-19 policies have affected the management and safety of complex elderly patients, who suffer from multimorbidity, at the primary care level in North West London (NWL).

DESIGN

This is a service evaluation adopting a qualitative approach.

SETTING

Individual semi-structured interviews were conducted between 6 and 22 May 2020, 2 months after the introduction of the UK COVID-19 Action Plan, allowing GPs to adapt to the new changes and reflect on their impact.

PARTICIPANTS

Fourteen GPs working in NWL were interviewed, until data saturation was reached.

OUTCOME MEASURES

The impact of COVID-19 policies on the management and safety of complex elderly patients in primary care from the GPs' perspective.

RESULTS

Participants' average experience was fourteen years working in primary care for the NHS. They stated that COVID-19 policies have affected primary care at three levels, patients' behaviour, work conditions, and clinical practice. GPs reflected on the impact through five major themes; four of which have been adapted from the Safety Attitudes Questionnaire (SAQ) framework, changes in primary care (at the three levels mentioned above), involvement of GPs in policy making, communication and coordination (with patients and in between medical teams), stressors and worries; in addition to a fifth theme to conclude the GPs' suggestions for improvement (either proposed mitigation strategies, or existing actions that showed relative success). A participant used an expression of "infodemic" to describe the GPs' everyday pressure of receiving new policy updates with their subsequent changes in practice.

CONCLUSION

The COVID-19 pandemic has affected all levels of the health system in the UK, particularly primary care. Based on the GPs' perspective in NWL, changes to practice have offered opportunities to maintain safe healthcare as well as possible drawbacks that should be of concern.

The Factors Associated with 3-Year Mortality Stratified by Physical and Mental Multimorbidity and Area of Residence Deprivation in Primary Care Community-Living Older Adults

Objectives: To examine the risk factors of mortality stratified by physical and mental multimorbidity (PMM) and area socioeconomic status. Methods: Cox regression analyses were used to study 3-year all-cause mortality in primary care older adults stratified by PMM status, and area of residence material and social deprivation. Results: There were socioeconomic differences in the associations between PMM and mortality. Continuity of care decreased mortality risk in moderately and most deprived areas. Satisfaction with medical consultations decreased mortality risk in moderately deprived areas. Current smoking increased mortality in those living in moderately and most deprived areas. Physical activity reduced mortality only in individuals without PMM. Higher cognition was associated with reduced mortality in individuals living in moderately deprived areas. Discussion: Public health policies should be further encouraged in primary care, aiming at increased continuity of care, quality of interactions with patients, and prevention strategies including smoking cessation programs and physical activity promotion.

Identification of the multimorbidity training needs of primary care professionals: Protocol of a survey

Current epidemiological situation has prompted the consideration of multimorbility (MM) as a prevalent condition, influenced by age, educational level and social support, related to unfavorable social and health determinants. Primary Care (PC) has a key role in its approach but further training of professionals in MM is required. The evidence on the effectiveness of training interventions in MM is still limited. Knowing the experiences, opinions and training needs of professionals is essential to enhance training interventions.

OBJECTIVES

Identify perceived training needs by PC health professionals (doctors and nurses) in MM and polypharmacy.

METHODS

Design: Cross-sectional study based on an online survey (anonymous-ad hoc questionnaire). Participants and recruitment: 384 doctors and nurses working in healthcare centers and out-of-hospital emergencies of the Spanish National Health System. Non-probabilistic convenience sampling via email addressed to Health Institutions, and social networks.

DATA

Demographic characteristics and professional profile data (close-ended and multiple-choice questions) will be collected. Open-ended questions will be used to identify training needs, difficulties and resources about MM; required skills to care patients with MM will be assessed using a 4-item ordinal scale.

ANALYSIS

Coding of data prior to analysis. Descriptive statistical analysis, participation and completion rates of the questionnaire and estimation of absolute and relative frequencies and 95% confidence intervals in close-ended questions. Content analysis with inductive methodology in open-ended questions. Ethics: Ethical approval, Online informed consent.

CONCLUSIONS

The identification of training needs of health professionals who care for patients with MM will be necessary data for developing highly effective training activities.

The risk of physical multimorbidity in people with psychotic disorders: A systematic review and meta-analysis

BACKGROUND

The occurrence of multiple co-occurring chronic health conditions, known as multimorbidity, is associated with decreases in quality of life for patients and poses unique challenges for healthcare systems. Since people with psychotic disorders have an excess of physical health conditions compared to the general population, they may also be at a higher risk for multimorbidity. We conducted a systematic review and meta-analysis to quantify the prevalence and excess risk of multimorbidity among people with psychotic disorders, relative to those without psychosis.

METHODS

We searched the MEDLINE, EMBASE, and PsycINFO databases, and conducted forward and backward citation tracing of included studies. Studies published after 1990 were included if they reported the prevalence of multiple chronic physical health conditions among people with psychotic disorders. Data on the prevalence and relative risk of multimorbidity were meta-analyzed using random effects models.

RESULTS

Fourteen studies met the inclusion criteria, and eight were included in the meta-analysis. Each study used a different operational definition of multimorbidity, both for the number and types of chronic conditions, which resulted in a wide range in prevalence estimates (16% to 91%). People with psychotic disorders had an increased risk of multimorbidity (RR = 1.69, 95%CI = 1.37,2.08), relative to those without psychosis.

CONCLUSIONS

People with psychotic disorders are more likely to experience multimorbidity than those without psychotic disorders. Clinicians treating people with psychosis should closely monitor for a range of physical health conditions. Future research examining multimorbidity among people with psychiatric illness should employ consistent definitions to better enable cross-study comparisons.

Comparing the prevalence of multimorbidity using different operational definitions in primary care in Singapore based on a cross-sectional study using retrospective, large administrative data

OBJECTIVES

Multimorbidity is a norm in primary care. A consensus on its operational definition remains lacking especially in the list of chronic conditions considered. This study aimed to compare six different operational definitions of multimorbidity previously reported in the literature for the context of primary care in Singapore.

DESIGN, SETTING AND PARTICIPANTS

This is a retrospective study using anonymised primary care data from a study population of 787 446 patients. We defined multimorbidity as having three or more chronic conditions in an individual. The prevalence of single conditions and multimorbidity with each operational definition was tabulated and standardised prevalence rates (SPRs) were obtained by adjusting for age, sex and ethnicity. We compared the operational definitions based on (1) number of chronic diseases, (2) presence of chronic diseases of high burden and (3) relevance in primary care in Singapore. IBM SPSS V.23 and Microsoft Office Excel 2019 were used for all statistical calculations and analyses.

RESULTS

The SPRs of multimorbidity in primary care in Singapore varied from 5.7% to 17.2%. The lists by Fortin et al, Ge et al, Low et al and Quah et al included at least 12 chronic conditions, the recommended minimal number of conditions. Quah et al considered the highest proportion of chronic diseases (92.3%) of high burden in primary care in Singapore, with SPRs of at least 1.0%. Picco et al and Subramaniam et al considered the fewest number of conditions of high relevance in primary care in Singapore.

CONCLUSIONS

Fortin et al's list of conditions is most suitable for describing multimorbidity in the Singapore primary care setting. Prediabetes and 'physical disability' should be added to Fortin et al's list to augment its comprehensiveness. We propose a similar study methodology be performed in other countries to identify the most suitable operational definition in their own context.

Treatment Preferences of Residents Assumed to Have Severe Chronic Diseases in China: A Discrete Choice Experiment

Objectives: This study aims to elicit the relative importance of treatment attributes that influence residents’ choice, assuming they are suffering severe non-communicable diseases (NCDs), to explore how they make trade-offs between these attributes and to estimate the monetary value placed on different attributes and attribute levels. Methods: A discrete choice experiment (DCE) was conducted with adults over 18 years old in China. Preferences were evaluated based on four treatment attributes: care provider, mode of service, distance to practice and cost. A mixed logit model was used to analyze the relative importance of the four attributes and to calculate the willingness to pay (WTP) for a changed attribute level. Results: A total of 93.47% (2019 of 2160) respondents completed valid questionnaires. The WTP results suggested that participants would be willing to pay CNY 822.51 (USD 124.86), CNY 470.54 (USD 71.41) and CNY 68.20 (USD 10.35) for services provided by experts, with integrated traditional Chinese medicine (TCM) and Western medicine (WM) and with a service distance <=30 min, respectively. Conclusions: The results suggested that mode of service, care provider, distance to practice and cost should be considered in priority-setting decisions. The government should strengthen the curative service capability in primary health facilities and give full play to the role of TCM in the prevention and treatment of severe chronic diseases.

Five-year trajectories of multimorbidity patterns in an elderly Mediterranean population using Hidden Markov Models

This study aimed to analyse the trajectories and mortality of multimorbidity patterns in patients aged 65 to 99 years in Catalonia (Spain). Five year (2012–2016) data of 916,619 participants from a primary care, population-based electronic health record database (Information System for Research in Primary Care, SIDIAP) were included in this retrospective cohort study. Individual longitudinal trajectories were modelled with a Hidden Markov Model across multimorbidity patterns. We computed the mortality hazard using Cox regression models to estimate survival in multimorbidity patterns. Ten multimorbidity patterns were originally identified and two more states (death and drop-outs) were subsequently added. At baseline, the most frequent cluster was the Non-Specific Pattern (42%), and the least frequent the Multisystem Pattern (1.6%). Most participants stayed in the same cluster over the 5 year follow-up period, from 92.1% in the Nervous, Musculoskeletal pattern to 59.2% in the Cardio-Circulatory and Renal pattern. The highest mortality rates were observed for patterns that included cardio-circulatory diseases: Cardio-Circulatory and Renal (37.1%); Nervous, Digestive and Circulatory (31.8%); and Cardio-Circulatory, Mental, Respiratory and Genitourinary (28.8%). This study demonstrates the feasibility of characterizing multimorbidity patterns along time. Multimorbidity trajectories were generally stable, although changes in specific multimorbidity patterns were observed. The Hidden Markov Model is useful for modelling transitions across multimorbidity patterns and mortality risk. Our findings suggest that health interventions targeting specific multimorbidity patterns may reduce mortality in patients with multimorbidity.

Agreement between self-reported morbidity and pharmacy claims data for prescribed medications in an older community based population

Background

Studies have indicated variability around prevalence estimates of multimorbidity due to poor consensus regarding its definition and measurement. Medication-based measures of morbidity may be valuable resources in the primary-care setting where access to medical data can be limited. We compare the agreement between patient self-reported and medication-based morbidity; and examine potential patient-level predictors of discordance between these two measures of morbidity in an older (≥ 50 years) community-based population.

Methods

A retrospective cohort study was performed using national pharmacy claims data linked to The Irish LongituDinal study on Ageing (TILDA). Morbidity was measured by patient self-report (TILDA) and two medication-based measures, the Rx-Risk (< 65 years) and Rx-Risk-V (≥65 years), which classify drug claims into chronic disease classes. The kappa statistic measured agreement between self-reported and medication-based morbidity at the individual patient-level. Multivariate logistic regression was used to examine patient-level characteristics associated with discordance between measures of morbidity.

Results

Two thousand nine hundred twenty-five patients were included (< 65 years: N = 1095, 37.44%; and ≥ 65 years: N = 1830 62.56%). Hypertension and high cholesterol were the most prevalent self-reported morbidities in both age cohorts. Agreement was good or very good (κ = 0.61–0.81) for diabetes, osteoporosis and glaucoma; and moderate for high cholesterol, asthma, Parkinson’s and angina (κ = 0.44–0.56). All other conditions had fair or poor agreement. Age, gender, marital status, education, poor-delayed recall, depression and polypharmacy were significantly associated with discordance between morbidity measures.

Conclusions

Most conditions achieved only moderate or fair agreement between self-reported and medication-based morbidity. In order to improve the accuracy in prevalence estimates of multimorbidity, multiple measures of multimorbidity may be necessary. Future research should update the current Rx-Risk algorithms in-line with current treatment guidelines, and re-assess the feasibility of using these indices alone, or in combination with other methods, to yield more accurate estimates of multimorbidity.

Cardiovascular involvement during COVID-19 and clinical implications in elderly patients. A review

SARS-CoV-2 betacoronavirus is responsible for the Corona Virus Disease 2019 (COVID-19) which has relevant pathogenic implications for the cardiovascular system. Incidence and severity of COVID-19 are higher in the elderly population (65 years and older). This may be due to higher frequency of comorbidities, but increased frailty and immunosenescence linked with aging may also contribute. Moreover, in elderly individuals, SARS-CoV-2 may adopt different molecular strategies to strongly impact on cardiac aging that culminate in exacerbating a pro-inflammatory state (cytokine storm activation), which, in turn, may lead to pulmonary vascular endothelialitis, microangiopathy, diffuse thrombosis, myocarditis, heart failure, cardiac arrhythmias, and acute coronary syndromes. All these events are particularly relevant in elderly patients, and deserve targeted cardiovascular treatments and specific management of repurposed drugs against COVID-19. We discuss current evidence about the cardiovascular involvement during COVID-19, and elaborate on clinical implications in elderly patients.

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SARS-CoV-2 infection has relevant pathogenic implications for the heart, mainly in elderly patients.

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Common cardiometabolic comorbidities and aging strongly contribute to higher frequency and severity of disease in elderly.

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SARS-CoV-2 may directly and indirectly damage the heart leading to multi-organ failure and death.

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Network-oriented analysis are providing novel insight about SARS-CoV-2 pathogenic mechanisms and putative drug targets.

The OATH Syndemic: opioids and other substances, aging, alcohol, tobacco, and HIV

PURPOSE OF REVIEW

Persons living with HIV (PLWH) are aging, continue to use alcohol and other substances, and experience age-associated adverse effects. We explore a new syndemic: OATH (opioids and other substances, aging, alcohol, tobacco, and HIV).

RECENT FINDINGS

Frailty and falls are important problems that affect the health status of PLWH who continue to use alcohol and other substances. HIV, alcohol and other substance use, and aging each contributes to inflammaging. Multimorbidity and polypharmacy are also important pathways as alcohol and other substances interact with prescribed medications resulting in adverse-drug interactions leading to potentially serious consequences. Social conditions including racism, poverty, sex bias, stress, and stigma contribute to the existence and persistence of this syndemic.

SUMMARY

Substance use, HIV, and aging are linked in a new syndemic (OATH) that drives age-related outcomes such as frailty and falls. We need to expand our understanding of the 'healthcare team' so that we include social and political advocates who can support necessary structural change. Treatment of substance use should be better incorporated into the management of HIV, including a focus on potential medication/substance interactions. Finally, we need to explore treatment of frailty rather than individual manifestations of frailty (e.g., atherosclerosis, neurodegeneration).

Pharmacological Interactions in the Elderly

Pharmacological therapy in the elderly is particularly complicated and challenging. Due to coexistence of three main predisposing factors (advanced age, multiple morbidity and polypharmacotherapy), this group of patients is prone to occurrence of drug interactions and adverse effects of incorrect drug combinations. Since many years patient safety during the treatment process has been one of key elements for proper functioning of healthcare systems around the world, thus different preventive measures have been undertaken in order to counteract factors adversely affecting the therapeutic effect. One of the avoidable medical errors is pharmacological interactions. According to estimates, one in six elderly patients may be at risk of a significant drug interaction. Hence the knowledge about mechanisms and causes of drug interactions in the elderly, as well as consequences of their occurrence are crucial for planning the process of pharmacotherapy. For the purpose of pharmacovigilance, a review of available methods and tools gives an insight into possible ways of preventing drug interactions. Additionally, recognizing the actual scale of this phenomenon in geriatric population around the world emphasizes the importance of a joint effort among medical community to improve quality of pharmacotherapy.

Comorbidity phenotypes and risk of mortality in patients with ischaemic heart disease in the UK

Objectives

The objective of this study is to use latent class analysis of up to 20 comorbidities in patients with a diagnosis of ischaemic heart disease (IHD) to identify clusters of comorbidities and to examine the associations between these clusters and mortality.

Methods

Longitudinal analysis of electronic health records in the health improvement network (THIN), a UK primary care database including 92 186 men and women aged ≥18 years with IHD and a median of 2 (IQR 1–3) comorbidities.

Results

Latent class analysis revealed five clusters with half categorised as a low-burden comorbidity group. After a median follow-up of 3.2 (IQR 1.4–5.8) years, 17 645 patients died. Compared with the low-burden comorbidity group, two groups of patients with a high-burden of comorbidities had the highest adjusted HR for mortality: those with vascular and musculoskeletal conditions, HR 2.38 (95% CI 2.28 to 2.49) and those with respiratory and musculoskeletal conditions, HR 2.62 (95% CI 2.45 to 2.79). Hazards of mortality in two other groups of patients characterised by cardiometabolic and mental health comorbidities were also higher than the low-burden comorbidity group; HR 1.46 (95% CI 1.39 to 1.52) and 1.55 (95% CI 1.46 to 1.64), respectively.

Conclusions

This analysis has identified five distinct comorbidity clusters in patients with IHD that were differentially associated with risk of mortality. These analyses should be replicated in other large datasets, and this may help shape the development of future interventions or health services that take into account the impact of these comorbidity clusters.

Integrated Care Programs for People with Multimorbidity in European Countries: eHealth Adoption in Health Systems

INTRODUCTION

eHealth applications have the potential to provide new integrated care services to patients with multimorbidity (MM), also supporting multidisciplinary care. The aim of this paper is to explore how widely eHealth tools have been currently adopted in integrated care programs for (older) people with MM in European countries, including benefits and barriers concerning their adoption, according to some basic health system characteristics.

MATERIALS AND METHODS

In 2014, in the framework of the ICARE4EU project, expert organizations in 24 European countries identified 101 integrated care programs. Managers of the selected programs completed an online questionnaire on several dimensions, including the use of eHealth. We analyzed data from this questionnaire, in addition to qualitative information from six innovative programs which were studied in depth through case study methodology, according to characteristics of national health systems: a national health model (financing system), overall strength of primary care (PC) (structure/service delivery process), and level of (de)centralization of health system (executive powers in a country).

RESULTS

85 programs (out of 101) adopted at least one eHealth tool, and 42 of these targeted explicitly older people. In most cases, Electronic Health Records (EHRs) were used and some benefits emerged like improved care management and integration, although inadequate funding mechanisms represented a major barrier. The analysis by health system characteristics showed a greater adoption of eHealth applications in decentralized countries, in countries with a National Health Service (NHS) model, and in countries with a strong/medium level of PC development.

CONCLUSIONS

Although in the light of some limitations, findings indicate a relation between implementation of care programs using eHealth tools and basic characteristics of health systems, with decentralization of a health system, NHS model, and strong/medium PC having a key role. However adaptations of European health systems seem necessary, in order to provide a more innovative and integrated care.