Multimorbidity Patterns in Hospitalized Older Patients: Associations among Chronic Diseases and Geriatric Syndromes

The diabetes mellitus multimorbidity network in hospitalized patients over 50 years of age in China: data mining of medical records

OBJECTIVE

Many diabetes mellitus (DM) patients suffer from multimorbidity. Understanding the DM multimorbidity network should be given priority. The purpose of this study is characterize the DM multimorbidity network in people over 50 years.

METHODS

Data on 75 non-communicable diseases (NCDs) were extracted from electronic medical records of 309,843 hospitalized patients older than 50 years who had at least one NCD. The association rules analysis was used as a novel classification method and combined with the Chi-square tests to identify associations between NCDs and DM.

RESULT

A total of 12 NCDs were closely related to DM, {cholelithiasis, DM} was an unexpected combination. {dyslipidemia, DM} and {gout, DM} had the largest lift in the male and female groups, respectively. The negative related group included 7 NCDs. There were 9 NCDs included in the strong association rules. Most combinations were different by age and sex. In males, the strongest rule was {peripheral vascular disease (PVD), dyslipidemia, DM}, while {hypertension, dyslipidemia, chronic liver disease (CLD), DM} was the strongest in females. In patients younger than 70 years, hypertension, CLD, and dyslipidemia were the most dominant NCDs in the DM multimorbidity network. In patients 70 years or older, chronic kidney disease (CKD), CVD, CHD, and heart disease (HD) frequently co-occurred with DM.

CONCLUSION

Future primary healthcare policies for DM should be formulated based on age and sex. In patients younger than 70 years, more attention to hypertension, CLD, and dyslipidemia is required, while attention to CKD, CVD, CHD and HD is needed in patients older than 70 years.

Prevalence and incidence of mobility limitation in Chinese older adults: evidence from the China health and retirement longitudinal study

BACKGROUND

Mobility limitation, a manifestation of impaired intrinsic capacity, is the first obvious sign of functional decline. However, few studies have been conducted on the prevalence and incidence of mobility limitation. This study aimed to estimate the prevalence and incidence of mobility limitation in Chinese older adults (over 60 years old) and evaluate its impact on mortality.

METHODS

The study used two waves of data from China Health and Retirement Longitudinal Study (CHARLS) in 2011 and 2013. The prevalence and incidence of mobility limitation were assessed using the methods recommended by the World Health Organization in the integrated care for older people guidelines, using the five-time sit-to-stand test as a screening and then the Short Physical Performance Battery assessment for diagnosis. Multivariable logistic regression was used to analyze the association between mobility limitation and death.

RESULTS

Of the 5507 participants with complete baseline data, 1486 had limited mobility, and 4021 had intact mobility at baseline; 4093 participants completed follow-up assessment 2 years later, and 189 died between the baseline and follow-up assessments. Of the 2828 participants with intact mobility at baseline who completed the follow-up mobility assessment, 408 developed mobility limitation. The standardized prevalence was 30.4% (95% CI = 28.8-32.1 %). The standardized incidence of mobility limitation in 2 years was 18.1% (95% CI = 15.8-20.4 %). A total of 189 patients died during the follow-up period. After adjusting for sociodemographic factors and chronic diseases, mobility limitation was associated with an increased risk of death (odds ratio = 1.84, 95% CI = 1.33-2.55, P < .001).

CONCLUSIONS

The standardized prevalence of mobility limitation in Chinese older adults living in the community was 30.4%, and the standardized incidence was 18.1%. Mobility limitation significantly predicts 2-year death in older adults. This suggests that early screening, assessment of intrinsic capacity (particularly locomotion domain) as well as tailored interventions to tackle mobility limitation in older adults might reduce mortality.

Multimorbidity impacts cardiovascular disease risk following percutaneous coronary intervention: latent class analysis of the Melbourne Interventional Group (MIG) registry

BACKGROUND

Multimorbidity is strongly associated with disability or functional decline, poor quality of life and high consumption of health care services. This study aimed (1) To identify patterns of multimorbidity among patients undergoing first recorded percutaneous coronary intervention (PCI); (2) To explore the association between the identified patterns of multimorbidity on length of hospital stay, 30-day and 12- month risk of major adverse cardiac and cerebrovascular events (MACCE) after PCI.

METHODS

A retrospective cohort study of the Melbourne Interventional Group (MIG) registry. This study included 14,025 participants who underwent their first PCI from 2005 to 2015 in Victoria, Australia. Based on a probabilistic modelling approach, Latent class analysis was adopted to classify clusters of people who shared similar combinations and magnitude of the comorbidity of interest. Logistic regression models were used to estimate odd ratios and 95% confidence interval (CI) for the 30-day and 12-month MACCE.

RESULTS

More than two-thirds of patients had multimorbidity, with the most prevalent conditions being hypertension (59%) and dyslipidaemia (60%). Four distinctive multimorbidity clusters were identified each with significant associations for higher risk of 30-day and 12-month MACCE. The cluster B had the highest risk of 30-day MACCE event that was characterised by a high prevalence of reduced estimated glomerular filtration rate (92%), hypertension (73%) and reduced ejection fraction (EF) (57%). The cluster C, characterised by a high prevalence of hypertension (94%), dyslipidaemia (88%), reduced eGFR (87%), diabetes (73%) and reduced EF (65%) had the highest risk of 12-month MACCE and highest length of hospital stay.

CONCLUSION

Hypertension and dyslipidaemia are prevalent in at least four in ten patients undergoing coronary angioplasty. This study showed that clusters of patients with multimorbidity had significantly different risk of 30-day and 12-month MACCE after PCI. This suggests the necessity for treatment approaches that are more personalised and customised to enhance patient outcomes and the quality of care delivered to patients in various comorbidity clusters. These results should be validated in a prospective cohort and to evaluate the potential impacts of these clusters on the prevention of MACCE after PCI.

Multimorbidity patterns in older persons and their association with self-reported quality of life and limitations in activities of daily living

BACKGROUND

As populations age, multimorbidity (the presence of two or more chronic morbidities) is increasingly more common. These evolving demographics demand further research into the identification of morbidity patterns in different settings as well as the longitudinal effects of these patterns.

METHODS

Prospectively collected data on 12,755 older persons aged 65+ years were derived from The Older Persons and Informal Caregivers Survey Minimum DataSet (TOPICS-MDS, www.topics-mds.eu). Latent class analyses were performed to identify unobserved relationship patterns between morbidities in older persons. Using linear mixed models, the average difference in health-related quality of life (EQ-5D) and general quality of life scores (Cantril's Self Anchoring Ladder) as well as limitations in Activities of Daily Living and Instrumental Activities of Daily Living (ADL/IADL) were examined over a 12-month period.

RESULTS

Five multimorbidity patterns were identified: sensory (n = 3882), cardio-metabolic (n = 2627), mental health (n = 920), osteo-articular (n = 4486), and system decline (n = 840). Relative to older persons in the sensory group, multimorbidity patterns did not have a strong effect on health-related quality of life, general quality of life or ADL/IADLs over a one-year period.

CONCLUSIONS

The observed multimorbidity patterns are similar to others based on different methodologies and study populations. When examining the effect of such patterns on quality of life, the EQ-5D and Cantril's Ladder may be insufficient outcome measures. Further investigations into the prognostic value of morbidity patterns would be of benefit.

Multimorbidity patterns in the German general population aged 40 years and over

AIM

The aim of this study was to identify and describe multimorbidity patterns among middle-aged and older community-dwelling individuals in Germany. Moreover, we aimed to determine potential gender differences in multimorbidity patterns.

METHODS

We analysed data from the most recent (sixth) wave (2017) of the large nationally representative German Ageing Survey (DEAS). Altogether n = 6,554 individuals participated, mean age was 62.0 (ranging from 43 to 92 years). Latent Class Analysis was performed to identify multimorbidity patterns, based on 13 chronic conditions and diseases. Multimorbidity was defined as the presence of at least two chronic conditions.

RESULTS

Altogether, 53.3% of individuals were multimorbid. We identified and clinically described five multimorbidity patterns: the relatively healthy class (45.1%), the high morbidity class (10.8%), the arthrosis/inflammatory/mental illnesses class (20.6%), the hypertension-metabolic illness class (21.7%), and the cardiovascular/cancer class (1.7%). Our analysis revealed that women compared to men have higher relative risk (IRR = 1.61, 95% CI 1.25-2.06) of being in the arthrosis/inflammatory/mental illnesses class, compared to the relatively healthy class. Furthermore, we found that, depending on which multimorbidity pattern individuals belong to, they differ greatly in terms of socio-demographic factors, health behaviour, and lifestyle factors.

CONCLUSIONS

We showed that the many chronic diseases cluster in a non-random way. Five clinically meaningful multimorbidity patterns were identified. Gender differences were apparent only in one class, namely in the arthrosis/inflammatory/mental illnesses class.

Geriatric syndromes in the population older than 90 years: The prevalence and association with chronic diseases

OBJECTIVE

The aim of this study was to explore the prevalence of geriatric syndromes and comorbid conditions, as well as their interrelationships, in individuals aged 90 years and over.

METHODS

This study included participants aged 90 years and older who underwent a comprehensive geriatric assessment in a tertiary geriatric outpatient clinic. Demographic and clinical characteristics were obtained using the electronic medical records. The geriatric syndrome burden was calculated by adding each syndrome, which was then stratified into one of two groups based on the median value: no or low burden (<4) and high burden (≥4). The modified Charlson comorbidity index was used to determine chronic disease burden.

RESULTS

A total of 235 participants (93.2 ± 2.7 years) were recruited in this study. The mean index score was 7.3, and 46% (n = 107) of participants had a high geriatric syndrome burden. The most common geriatric syndrome was incontinence (69%), followed by polypharmacy (60%) and depression (43%). When compared to patients without such a diagnosis, the prevalence of polypharmacy was significantly higher in patients diagnosed with hypertension, chronic kidney disease, cardiovascular disease, diabetes mellitus and chronic obstructive pulmonary disease (p = 0.02, p = 0.02, p < 0.001, p = 0.008, p = 0.007, respectively). However, no chronic disease was associated with geriatric syndrome burden.

CONCLUSIONS

We found that the burden of medical conditions in the older population over 90 years of age could influence general health status significantly, with a high prevalence of chronic diseases and geriatric syndromes.

Pilot Study on the Relationship between Malnutrition and Grip Strength with Prognosis in Diabetic Foot

Sarcopenia and malnutrition have been associated in the elderly population with a poor prognosis in wound healing and with other adverse events, such as institutionalization or functional impairment. However, it is not known how these factors influence the prognosis of diabetic foot in the elderly. To answer this question, a prospective observational study of 45 patients over 65 years of age admitted with diagnoses of diabetic foot in a tertiary hospital has been conducted. All patients were assessed at admission and at 3 months after returning home to determine quality of life, pain, mobility and healing, overall hospital stay in relation to the presence of malnutrition (measured by BMI, CIPA scale and analytical parameters at admission of serum proteins and albumin), and sarcopenia measured by grip force, among other geriatric syndromes. The results found a relationship between altered sarcopenia and more pain and poorer quality of life, and altered BMI was related to a lower cure rate and worse mobility at follow-up. This study seems to indicate that, in the elderly population with diabetic foot, malnutrition and sarcopenia should be managed at the same time as the treatment of the diabetic foot itself.

Medium and long-term prognosis in hospitalised older adults with multimorbidity. A prospective cohort study

BACKGROUND

Data about long-term prognosis after hospitalisation of elderly multimorbid patients remains scarce.

OBJECTIVES

Evaluate medium and long-term prognosis in hospitalised patients older than 75 years of age with multimorbidity. Explore the impact of gender, age, frailty, physical dependence, and chronic diseases on mortality over a seven-year period.

METHODS

We included prospectively all patients hospitalised for medical reasons over 75 years of age with two or more chronic illnesses in a specialised ward. Data on chronic diseases were collected using the Charlson comorbidity index and a questionnaire for disorders not included in this index. Demographic characteristics, Clinical Frailty Scale, Barthel index, and complications during hospitalisation were collected.

RESULTS

514 patients (46% males) with a mean age of 85 (± 5) years were included. The median follow-up was 755 days (interquartile range 25-75%: 76-1,342). Mortality ranged from 44% to 68%, 82% and 91% at one, three, five, and seven years. At inclusion, men were slightly younger and with lower levels of physical impairment. Nevertheless, in the multivariate analysis, men had higher mortality (p<0.001; H.R.:1.43; 95% C.I.95%:1.16-1.75). Age, Clinical Frailty Scale, Barthel, and Charlson indexes were significant predictors in the univariate and multivariate analysis (all p<0.001). Dementia and neoplastic diseases were statistically significant in the unadjusted but not the adjusted model. In a cluster analysis, three patterns of patients were identified, with increasing significant mortality differences between them (p<0.001; H.R.:1.67; 95% CI: 1.49-1.88).

CONCLUSIONS

In our cohort, individual diseases had a limited predictive prognostic capacity, while the combination of chronic illness, frailty, and physical dependence were independent predictors of survival.

TReating Incontinence for Underlying Mental and Physical Health (TRIUMPH): a study protocol for a multicenter, double-blinded, randomized, 3-arm trial to evaluate the multisystem effects of pharmacologic treatment strategies for urgency-predominant urinary incontinence in ambulatory older women

BACKGROUND

Urgency-type urinary incontinence affects one in four older community-dwelling women and overlaps with other common aging-associated health syndromes such as cognitive impairment, physical mobility impairment, and depression. Observational studies have raised concern about potentially higher rates of delirium and dementia in older adults taking anticholinergic bladder medications, but few prospective data are available to evaluate the effects of these and other pharmacologic treatments for urgency incontinence on cognition and other multisystem functional domains important to older women.

METHODS

The TRIUMPH study is a randomized, double-blinded, 3-arm, parallel-group trial comparing the multisystem effects of anticholinergic versus beta-3-adrenergic agonist bladder therapy and versus no active bladder anti-spasmodic pharmacotherapy in older women with urgency incontinence. Women aged 60 years and older (target N = 270) who have chronic urgency-predominant urinary incontinence and either normal or mildly impaired cognition at baseline are recruited from the community by investigators based in northern California, USA. Participants are randomized in equal ratios to take identically encapsulated oral anticholinergic bladder therapy (in the form of tolterodine 2 mg extended release [ER]), oral beta-3 adrenergic agonist bladder therapy (mirabegron 25 mg ER), or placebo daily for 24 weeks, with the option of participant-directed dose titration (to tolterodine 4 mg ER, mirabegron 50 mg ER, or matching placebo daily). Participants also receive patient-oriented information and instructions about practicing first-line behavioral management strategies for incontinence. The primary outcome is change in composite cognitive function over 24 weeks assessed by a comprehensive battery of cognitive tests, with a secondary exploration of the persistence of change at 36 weeks. Secondary outcomes include changes over 24 and 36 weeks in domain-specific cognitive function; frequency, severity, and impact of urgency-associated urinary symptoms; physical function and balance; sleep quality and daytime sleepiness; psychological function; and bowel function.

DISCUSSION

The TRIUMPH trial addresses the need for rigorous evidence to guide counseling and decision-making for older women who are weighing the potential multisystem benefits and risks of pharmacologic treatments for urgency incontinence in order to preserve their day-to-day functioning, quality of life, and independence in older age.

TRIAL REGISTRATION

ClinicalTrials.gov NCT05362292. Registered on May 5, 2022.

A multicenter prospective study validated a nomogram to predict individual risk of dependence in ambulation after rehabilitation

OBJECTIVES

To develop the Functional Risk Index for Dependence in Ambulation (FRIDA) score, a nomogram to predict individual risk of dependence in ambulation at discharge from postacute rehabilitation and validate its performance temporally and spatially.

STUDY DESIGN AND SETTING

We analyzed the database of a multicenter prospective observational quality cohort study conducted from January 2012 to March 2016, including data from 8,796 consecutive inpatients who underwent rehabilitation after stroke, hip fracture, lower limb joint replacement, debility, and other neurologic, orthopedic, or miscellaneous conditions.

RESULTS

A total of 3,026 patients (34.4%) were discharged dependent in ambulation. In the training set of 5,162 patients (58.7%), Lasso-regression selected advanced age, premorbid disability, and eight indicators of medical and functional adverse syndromes at baseline to establish the FRIDA score. At the temporal validation obtained on an external set of 3,234 patients (41.3%), meta-analyses showed that the FRIDA score had good and homogeneous discrimination (summary area under the curve 0.841, 95% confidence interval = 0.826-0.855, I² = 0.00%) combined with accurate calibration (summary Log O/E ratio 0.017, 95% confidence interval -0.155 to 0.190). These performances remained stable at spatial validation obtained on 3,626 patients, with substantial heterogeneity of estimates across nine facilities. Decision curve analyses showed that a FRIDA score-supported strategy far outperformed the usual "treat all" approach in each impairment categories.

CONCLUSION

The FRIDA score is a new clinically useful tool to predict an individual risk for dependence in ambulation at rehabilitation discharge in many different disabilities, and may also reflect well the case-mix composition of the rehabilitation facilities.

Critical care for multimorbid patients

Multimorbidity - the simultaneous presence of several chronic diseases - is very common in the critically ill patients. Its prevalence is roughly 40-85 % and continues to increase further. Certain chronic diseases such as diabetes, obesity, chronic heart, pulmonary, liver or kidney disease and malignancy are associated with higher risk of developing serious acute complications and therefore the possible need for intensive care. This review summarizes and discusses selected specifics of critical care for multimorbid patients.

Catalogue of multimorbidity mean based severity and associational prevalence rates between 199+ chronic conditions-A nationwide register-based population study

BACKGROUND

Real-world data on multimorbidity represents an important but underutilised source of evidence for the planning of healthcare services, including prevention, treatments, and health economic modelling.

AIMS

This study aimed to estimate means of multimorbidity and provide associated prevalence rates and frequencies between 199 x 199 chronic conditions and disease groups based on the total adult Danish population and sex, age, and educational attainment. Thus, this study provides an off-the-shelf catalogue for use in treatments and planning by clinicians, decision-makers and researchers.

METHODS

The study population contained all Danish residents above 16 years on 1 January 2013 (n = 4,555,439). The data was based on the linkage of six national registers covering hospital contacts, services in general practice, filled-in out-of-hospital prescriptions, and educational attainments. The health registers were used to identify the 199 chronic conditions based on the ICD-10 classification system.

RESULTS

The mean number of chronic conditions (NCC) was 2.2. The mean increased with age, women had a higher mean than men, and there was a social gradient with the mean increasing with lower educational attainment. The mean NCC varied from 3.3-9.8 among all conditions. Across disease groups, the highest mean NCC were found within disease group N (chronic renal failure, mean = 8.8), D (in situ and benign neoplasms; mean = 6.5), K (diseases of the digestive system; mean = 5.7), and H (diseases of the eye and the ear; mean = 5.6). The highest mean NCC among the 29 common diseases was heart failure, ischemic heart diseases, angina pectoris, stroke, and dementia, with a mean above 6.5. Several prevalent conditions like hypertension, arthritis, chronic lower respiratory diseases, depression, type 2 diabetes, and overweight transcended other conditions regarding the associated prevalence rates. As one of the most frequent, hypertensive diseases were highly associated with arthritis (50.4%), depression (37.4%), type 2 diabetes (75.4%), cancers (49.7%), and being overweight (39.7%)-meaning that 50.4% of people with arthritis, 37.4% of people with depression and so on also had hypertensive diseases. The largest differences in means between individuals with no educational attainment and individuals with high educational attainment were found within disease groups J (diseases of the respiratory system, ratio = 1.8), Q (congenital malformations, deformations, and chromosomal abnormalities, ratio = 1.7), and B (viral hepatitis and human immunodeficiency virus disease, ratio = 1.7).

CONCLUSIONS

The current study provides a nationwide off-the-shelf catalogue of multimorbidity means and real-world associations estimates of 199+ chronic conditions for future clinical treatments and health care systems planning. The findings described are just one example of numerous results and underline that multimorbidity is highly prevalent in the adult Danish population and that it is a vital condition transcending all future medical treatment. The data offer essential information on the multimorbidity burden of disease in future differentiated treatments, healthcare planning, and economic, aetiological, and other research.

Multimorbidity Clusters in the Oldest Old: Results from the EpiChron Cohort

Multimorbidity is challenging for both patients and healthcare systems due to its increasing prevalence and high impact on people's health and well-being. The risk of multimorbidity increases with age, but there is still more to discover regarding the clinical profile of the oldest old. In this study, we used information from the EpiChron Cohort Study to identify multimorbidity patterns in individuals who died during the period 2010-2019 at the ages of 80-89, 90-99, and ≥100. This cohort links the demographic, clinical, and drug dispensation information of public health system users in Aragón, Spain. We saw a significantly lower number of chronic diseases and drugs and a lower prevalence of polypharmacy in centenarians compared to those aged 80-99. K-means clustering revealed different multimorbidity clusters by sex and age group. We observed clusters of cardiovascular and metabolic diseases, obstructive pulmonary conditions, and neoplasms, amongst other profiles. One in three octogenarian women had a metabolic pattern (diabetes, dyslipidaemia, and other endocrine-metabolic disorders) with the highest number of diseases (up to seven) and prevalence of polypharmacy (64%). We observed clusters of dementia and genitourinary disorders in individuals on medication with anticholinergic activity. Our study offers an opportunity to better understand the urgency of adequately addressing multimorbidity in our older adults.

Multimorbidity patterns and hospitalisation occurrence in adults and older adults aged 50 years or over

Multimorbidity is highly prevalent in older adults and can lead to hospitalisation. We investigate the prevalence, associated factors, and multimorbidity pattern associated to hospitalisation, readmission, and length of stay in the population aged 50 years and older. We analysed baseline data (2015–2016) from the ELSI-Brazil cohort, a representative sample of non-institutionalised Brazilians aged ≥ 50 years. In total, 8807 individuals aged ≥ 50 years were included. Poisson regression with robust variance adjusted for confounders was used to verify the associations with hospitalisation. Multiple linear regression was used to analyse the associations with readmission and length of stay. Network analysis was conducted using 19 morbidities and the outcome variables. In 8807 participants, the prevalence of hospitalisation was 10.0% (95% CI 9.1, 11), mean readmissions was 1.55 ± 1.191, and mean length of stay was 6.43 ± 10.46 days. Hospitalisation was positively associated with male gender, not living with a partner, not having ingested alcoholic beverages in the last month, and multimorbidity. For hospital readmission, only multimorbidity ≥ 3 chronic conditions showed a statistically significant association. Regarding the length of stay, the risk was positive for males and negative for living in rural areas. Five disease groups connected to hospitalisation, readmission and length of stay were identified. To conclude, sociodemographic variables, such as gender, age group, and living in urban areas, and multimorbidity increased the risk of hospitalisation, mean number of readmissions, and mean length of stay. Through network analysis, we identified the groups of diseases that increased the risk of hospitalisation, readmissions, and length of stay.

Comorbidity patterns in institutionalized older adults affected by dementia

Introduction

Dementia is common in nursing homes (NH) residents. Defining dementia comorbidities is instrumental to identify groups of persons with dementia that differ in terms of health trajectories and resources consumption. We performed a cross-sectional study to identify comorbidity patterns and their associated clinical, behavioral, and functional phenotypes in institutionalized older adults with dementia.

Methods

We analyzed data on 2563 Italian NH residents with dementia, collected between January 2014 and December 2018 using the multidimensional assessment instrument interRAI Long-Term Care Facility (LTCF). A standard principal component procedure was used to identify comorbidity patterns. Linear regression analyses were used to ascertain correlates of expression of the different patterns.

Results

Among NH residents with dementia, we identified three different comorbidity patterns: (1) heart diseases, (2) cardiovascular and respiratory diseases and sensory impairments, and (3) psychiatric diseases. Older age significantly related to increased expression of the first two patterns, while younger patients displayed increased expression of the third one. Recent hospital admissions were associated with increased expression of the heart diseases pattern (β = 0.028; 95% confidence interval [CI] 0.003 to 0.05). Depressive symptoms and delirium episodes increased the expression of the psychiatric diseases pattern (β = 0.130, 95% CI 0.10 to 0.17, and β 0.130, CI 0.10 to 0.17, respectively), while showed a lower expression of the heart diseases pattern.

Discussion

We identified different comorbidity patterns within NH residents with dementia that differ in term of clinical and functional profiles. The prompt recognition of health needs associated to a comorbidity pattern may help improve long-term prognosis and quality of life of these individuals.

Highlights

Defining dementia comorbidities patterns in institutionalized older adults is key.Institutionalized older adults with dementia express different care needs.Comorbidity patterns are instrumental to identify different patients' phenotypes.Phenotypes vary in terms of health trajectories and demand different care plans.Prompt recognition of phenotypes in nursing homes can positively impact on outcomes.

Identifying multimorbidity clusters in an unselected population of hospitalised patients

Multimorbidity (multiple coexisting chronic health conditions) is common and increasing worldwide, and makes care challenging for both patients and healthcare systems. To ensure care is patient-centred rather than specialty-centred, it is important to know which conditions commonly occur together and identify the corresponding patient profile. To date, no studies have described multimorbidity clusters within an unselected hospital population. Our aim was to identify and characterise multimorbidity clusters, in a large, unselected hospitalised patient population. Linked inpatient hospital episode data were used to identify adults admitted to hospital in Grampian, Scotland in 2014 who had ≥ 2 of 30 chronic conditions diagnosed in the 5 years prior. Cluster analysis (Gower distance and Partitioning around Medoids) was used to identify groups of patients with similar conditions. Clusters of conditions were defined based on clinical review and assessment of prevalence within patient groups and labelled according to the most prevalent condition. Patient profiles for each group were described by age, sex, admission type, deprivation and urban–rural area of residence. 11,389 of 41,545 hospitalised patients (27%) had ≥ 2 conditions. Ten clusters of conditions were identified: hypertension; asthma; alcohol misuse; chronic kidney disease and diabetes; chronic kidney disease; chronic pain; cancer; chronic heart failure; diabetes; hypothyroidism. Age ranged from 51 (alcohol misuse) to 79 (chronic heart failure). Women were a higher proportion in the chronic pain and hypothyroidism clusters. The proportion of patients from the most deprived quintile of the population ranged from 6% (hypertension) to 14% (alcohol misuse). Identifying clusters of conditions in hospital patients is a first step towards identifying opportunities to target patient-centred care towards people with unmet needs, leading to improved outcomes and increased efficiency. Here we have demonstrated the face validity of cluster analysis as an exploratory method for identifying clusters of conditions in hospitalised patients with multimorbidity.

Specific multimorbidity patterns modify the impact of an exercise intervention in older hospitalized adults

BACKGROUND

Different multimorbidity patterns present with different prognoses, but it is unknown to what extent they may influence the effectiveness of an individualized multicomponent exercise program offered to hospitalized older adults.

METHODS

This study is a secondary analysis of a randomized controlled trial conducted in the Department of Geriatric Medicine of a tertiary hospital. In addition to the standard care, an exercise-training multicomponent program was delivered to the intervention group during the acute hospitalization period. Multimorbidity patterns were determined through fuzzy c-means cluster analysis, over 38 chronic diseases. Functional, cognitive and affective outcomes were considered.

RESULTS

Three hundred and six patients were included in the analyses (154 control; 152 intervention), with a mean age of 87.2 years, and 58.5% being female. Four patterns of multimorbidity were identified: heart valves and prostate diseases (26.8%); metabolic diseases and colitis (20.6%); psychiatric, cardiovascular and autoimmune diseases (16%); and an unspecific pattern (36.6%). The Short Physical Performance Battery (SPPB) test improved across all patterns, but the intervention was most effective for patients in the metabolic/colitis pattern (2.48-point difference between intervention/control groups, 95% CI 1.60-3.35). Regarding the Barthel Index and the Mini Mental State Examination (MMSE), the differences were significant for all multimorbidity patterns, except for the psychiatric/cardio/autoimmune pattern. Differences concerning quality of life were especially high for the psychiatric/cardio/autoimmune pattern (16.9-point difference between intervention/control groups, 95% CI 4.04, 29.7).

CONCLUSIONS

Patients in all the analyzed multimorbidity patterns improved with this tailored program, but the improvement was highest for those in the metabolic pattern. Understanding how different chronic disease combinations are associated with specific functional and cognitive responses to a multicomponent exercise intervention may allow further tailoring such interventions to older patients' clinical profile.

Multimorbidity patterns of chronic conditions and geriatric syndromes in older patients from the MoPIM multicentre cohort study

OBJECTIVES

To estimate the frequency of chronic conditions and geriatric syndromes in older patients admitted to hospital because of an exacerbation of their chronic conditions, and to identify multimorbidity clusters in these patients.

DESIGN

Multicentre, prospective cohort study.

SETTING

Internal medicine or geriatric services of five general teaching hospitals in Spain.

PARTICIPANTS

740 patients aged 65 and older, hospitalised because of an exacerbation of their chronic conditions between September 2016 and December 2018.

PRIMARY AND SECONDARY OUTCOME MEASURES

Active chronic conditions and geriatric syndromes (including risk factors) of the patient, a score about clinical management of chronic conditions during admission, and destination at discharge were collected, among other variables. Multimorbidity patterns were identified using fuzzy c-means cluster analysis, taking into account the clinical management score. Prevalence, observed/expected ratio and exclusivity of each chronic condition and geriatric syndrome were calculated for each cluster, and the final solution was approved after clinical revision and discussion among the research team.

RESULTS

740 patients were included (mean age 84.12 years, SD 7.01; 53.24% female). Almost all patients had two or more chronic conditions (98.65%; 95% CI 98.23% to 99.07%), the most frequent were hypertension (81.49%, 95% CI 78.53% to 84.12%) and heart failure (59.86%, 95% CI 56.29% to 63.34%). The most prevalent geriatric syndrome was polypharmacy (79.86%, 95% CI 76.82% to 82.60%). Four statistically and clinically significant multimorbidity clusters were identified: osteoarticular, psychogeriatric, cardiorespiratory and minor chronic disease. Patient-level variables such as sex, Barthel Index, number of chronic conditions or geriatric syndromes, chronic disease exacerbation 3 months prior to admission or destination at discharge differed between clusters.

CONCLUSIONS

In older patients admitted to hospital because of the exacerbation of chronic health problems, it is possible to define multimorbidity clusters using soft clustering techniques. These clusters are clinically relevant and could be the basis to reorganise healthcare circuits or processes to tackle the increasing number of older, multimorbid patients.

TRIAL REGISTRATION NUMBER

NCT02830425.

The prognostic fingerprint of quality of life in older inpatients : Relationship to geriatric syndromes' and resources' profile

BACKGROUND

The Comprehensive Geriatric Assessment (CGA) provides essential information about older hospitalized patients but is either not systematically adopted or not adopted at all in clinical routine. As a consequence, critical factors influencing patients' trajectories, like personal resources (geriatric resources, GR), geriatric syndromes (GS), health-related quality of life (HRQoL) and multidimensional prognosis often escape routine diagnostics.

OBJECTIVE

To investigate the association between HRQoL and GR/GS as well as its prognostic signature.

MATERIAL AND METHODS

In this study 165 inpatients older than 65 years admitted to an internal medicine department of a German large metropolitan hospital were assessed by a CGA-based calculation of the multidimensional prognostic index (MPI). Ten different GR and 17 GS, as well as HRQoL were collected. After 3, 6 and 12 months the patients were followed-up by telephone.

RESULTS

The HRQoL was associated with MPI (p < 0.001), number of GS (p < 0.001) and survival days after discharge (p = 0.008). Additionally, significant associations were found between HRQoL and number of GR (p < 0.001). GS displaying risk for physical dependence like instability (p < 0.001) and chronic pain (p = 0.007) and single GR/GS that influence patient's confidence like isolation (p < 0.001), depression (p < 0.001) and emotional resources (p = 0.002) were also associated with HRQoL.

CONCLUSION

The HRQoL is significantly associated to specific risk and protective factor profiles of GR and GS. To improve quality of life, targeted, patient-centered diagnostics and treatment of GS as well as stabilization of GR should be encouraged in the management of older, multimorbid patients outside geriatric settings.

Multimorbidity and leisure-time physical activity over the life course: a population-based birth cohort study

BACKGROUND

We aimed to test which life course model best described the association between leisure-time physical activity (LTPA) and multimorbidity at age 55. We analyzed data from birth to age 55 using the database from the 1958 National Child Development Survey.

METHODS

Multimorbidity was considered as the presence of more than one chronic condition. LTPA was measured through questionnaires from 1965 (age 7) to 2013 (age 55), which were applied in eight different occasions. We compared the fit of a series of nested adjusted logistic regression models (representing either the critical, accumulation or sensitive period models) with a fully saturated model. Data were reported as odds ratio (OR) and 95% confidence interval (CI).

RESULTS

From an eligible sample of 15,613 cohort members, 9137 were interviewed in the latest sweep (58.5%). Men were more physically active than women at ages 11, 16, and 23 (p < 0.001). LTPA every day in the week was more frequent in women than men in ages 33, 42, and 50 (p < 0.001). The prevalence of multimorbidity at age 55 was 33.0% (n = 2778). The sensitive analysis revealed that LTPA during adolescence (OR: 0.83; 95% CI: 0.70, 0.98) and mid adult life (age 50 and 55; OR: 0.82; 95%CI: 0.69, 0.98) have a stronger effect on the risk for multimorbidity at age 55 considering all other life stages in the model. Also, adolescence showed a critical independent effect on the risk for multimorbidity (OR: 0.82; 95%CI: 0.70, 0.97). No difference was found between those models.

CONCLUSIONS

These data support the notion of a protective physical activity "legacy" at early ages of childhood against multimorbidity at older ages. We highlight the need for LTPA promotion through intervention tailored especially on schooling and older ages in order to reduce the burden of multimorbidity.

Geriatric Syndromes and Incident Chronic Health Conditions Among 9094 Older Community-Dwellers: Findings from the Lifelines Cohort Study

OBJECTIVES

To determine the association between geriatric syndromes and any specific incident chronic health conditions among older community-dwellers.

DESIGN

Population-based cohort study over a median follow-up period of 43 months.

SETTING AND PARTICIPANTS

Participants from the Lifelines Cohort Study aged 60 years and older without presence of the studied chronic health conditions at baseline (n = 9094).

METHODS

Baseline assessment took place between November 2006 and December 2013 and included information on socioeconomic (age, sex, level of education and income), social contact, and health-related factors [eg, self-rated health, body mass index, chronic health conditions, and health behavior (alcohol consumption and smoking)]. Participants also reported the presence of geriatric syndromes (ie, included falls, incontinence, vision impairment, hearing impairment, depressive symptoms, and frailty at baseline). Three follow-up questionnaires were used to examine the incidence of any and specific chronic health conditions (ie, pulmonary and cardiovascular diseases, diabetes, cancer, and neurological diseases). Cox regression was used to analyze the longitudinal associations between geriatric syndromes and incident chronic health conditions.

RESULTS

Older community-dwelling individuals with at least one geriatric syndrome (44.7%, n = 4038) had an increased risk of developing any new chronic health condition [hazard ratio (HR) 1.35; 95% confidence interval (CI) 1.21-1.51]. The association was attenuated but remained significant after adjustment for socioeconomic factors, social contact, health status, and health behavior (HR 1.27; 95% CI 1.12-1.43). Analyses for specific chronic health conditions showed that compared with older community-dwellers without geriatric syndromes, those with geriatric syndromes had an increased risk to develop a cardiovascular health condition (HR 1.42; 95% CI 1.13-1.79) or diabetes (HR 1.53; 95% CI 1.11-2.11). They had no increased risk to develop pulmonary conditions, cancer, or neurological conditions.

CONCLUSION AND IMPLICATIONS

The presence of geriatric syndromes is associated with incident chronic health conditions, specifically cardiovascular conditions and diabetes. Increased awareness is needed among older people with geriatric syndromes and their physicians. Comprehensive assessments of geriatric syndromes may help to prevent or at least delay the development of chronic health conditions.

Multimorbidity and associated outcomes among older adult inpatients with neurological disorders

BACKGROUND

Multimorbidity is common among adults and associated with socioeconomic deprivation, polypharmacy, poor quality of life, functional impairment, and mortality.

OBJECTIVES

To identify the frequency of multimorbidity among older adults inpatients with neurological disorders (NDs), stratify clusters of chronic comorbidities associated with NDs in degrees, and verify whether multimorbidity was associated with demographic data, readmission, long length of hospital stay (LOS), and hospital mortality in this population.

METHODS

We enrolled patients aged ≥60 years successively admitted to a tertiary medical center with NDs between January 1, 2009, and December 31, 2010.

RESULTS

Overall, 1,154 NDs and 2,679 comorbidities were identified among 798 inpatients aged ≥60 years (mean: 75.76±9.12). Women comprised 435 (54.51%) of patients. Multimorbidity was detected in 92.61% (739) of patients, with a mean of 3.88±1.67 (median: 4.0), ranging from 2 to 10 chronic diseases. Patients with epilepsy, dementia, and movement disorders had the highest degrees of clusters of chronic morbidities (>50% of them with ≥5 chronic disorders), followed by those with cerebrovascular and neuromuscular disorders. Multimorbidity was associated with long LOS (p<0.001) and readmission (p=0.039), but not with hospital mortality (p=0.999).

CONCLUSIONS

Multimorbidity was preponderant among older adults inpatients with NDs, and NDs had a high degree of associated chronic comorbidities. Multimorbidity, but not isolated NDs, was associated with readmission and long LOS. These results support ward-based, neurohospitalist-directed, interdisciplinary care for older adults inpatients with NDs to face multimorbidity.

Multimorbidity Patterns and Unplanned Hospitalisation in a Cohort of Older Adults

The presence of multiple chronic conditions (i.e., multimorbidity) increases the risk of hospitalisation in older adults. We aimed to examine the association between different multimorbidity patterns and unplanned hospitalisations over 5 years. To that end, 2,250 community-dwelling individuals aged 60 years and older from the Swedish National Study on Aging and Care in Kungsholmen (SNAC-K) were studied. Participants were grouped into six multimorbidity patterns using a fuzzy c-means cluster analysis. The associations between patterns and outcomes were tested using Cox models and negative binomial models. After 5 years, 937 (41.6%) participants experienced at least one unplanned hospitalisation. Compared to participants in the unspecific multimorbidity pattern, those in the cardiovascular diseases, anaemia and dementia pattern, the psychiatric disorders pattern and the metabolic and sleep disorders pattern presented with a higher hazard of first unplanned hospitalisation (hazard ratio range: 1.49–2.05; p < 0.05 for all), number of unplanned hospitalisations (incidence rate ratio (IRR) range: 1.89–2.44; p < 0.05 for all), in-hospital days (IRR range: 1.91–3.61; p < 0.05 for all), and 30-day unplanned readmissions (IRR range: 2.94–3.65; p < 0.05 for all). Different multimorbidity patterns displayed a differential association with unplanned hospital care utilisation. These findings call for a careful primary care follow-up of older adults with complex multimorbidity patterns.

Use of machine learning in geriatric clinical care for chronic diseases: a systematic literature review

Objectives

Geriatric clinical care is a multidisciplinary assessment designed to evaluate older patients’ (age 65 years and above) functional ability, physical health, and cognitive well-being. The majority of these patients suffer from multiple chronic conditions and require special attention. Recently, hospitals utilize various artificial intelligence (AI) systems to improve care for elderly patients. The purpose of this systematic literature review is to understand the current use of AI systems, particularly machine learning (ML), in geriatric clinical care for chronic diseases.

Materials and Methods

We restricted our search to eight databases, namely PubMed, WorldCat, MEDLINE, ProQuest, ScienceDirect, SpringerLink, Wiley, and ERIC, to analyze research articles published in English between January 2010 and June 2019. We focused on studies that used ML algorithms in the care of geriatrics patients with chronic conditions.

Results

We identified 35 eligible studies and classified in three groups: psychological disorder (n = 22), eye diseases (n = 6), and others (n = 7). This review identified the lack of standardized ML evaluation metrics and the need for data governance specific to health care applications.

Conclusion

More studies and ML standardization tailored to health care applications are required to confirm whether ML could aid in improving geriatric clinical care.

Patterns of multimorbidity in medical inpatients: a multinational retrospective cohort study

Multimorbidity is frequent and represents a significant burden for patients and healthcare systems. However, there are limited data on the most common combinations of comorbidities in multimorbid patients. We aimed to describe and quantify the most common combinations of comorbidities in multimorbid medical inpatients. We used a large retrospective cohort of adults discharged from the medical department of 11 hospitals across 3 countries (USA, Switzerland, and Israel) between 2010 and 2011. Diseases were classified into acute versus chronic. Chronic diseases were grouped into clinically meaningful categories of comorbidities. We identified the most prevalent combinations of comorbidities and compared the observed and expected prevalence of the combinations. We assessed the distribution of acute and chronic diseases and the median number of body systems in relationship to the total number of diseases. Eighty-six percent (n = 126,828/147,806) of the patients were multimorbid (≥ 2 chronic diseases), with a median of five chronic diseases; 13% of the patients had ≥ 10 chronic diseases. Among the most frequent combinations of comorbidities, the most prevalent comorbidity was chronic heart disease. Other high prevalent comorbidities included mood disorders, arthropathy and arthritis, and esophageal disorders. The ratio of chronic versus acute diseases was approximately 2:1. Multimorbidity affected almost 90% of patients, with a median of five chronic diseases. Over 10% had ≥ 10 chronic diseases. This identification and quantification of frequent combinations of comorbidities among multimorbid medical inpatients may increase awareness of what should be taken into account when treating such patients, a growth in the need for special care considerations.

Palliative care in dermatology: A clinical primer, review of the literature, and needs assessment

Palliative care has been shown to improve quality of life, symptoms, and caregiver burden for a range of life-limiting diseases. Palliative care use among patients with severe dermatologic disease remains relatively unexplored, but the limited available data suggest significant unmet care needs and low rates of palliative care use. This review summarizes current palliative care patterns in dermatology, identifying areas for improvement and future investigation.

Multimorbidity Patterns in the General Population: Results from the EpiChron Cohort Study

The correct management of patients with multimorbidity remains one of the main challenges for healthcare systems worldwide. In this study, we analyze the existence of multimorbidity patterns in the general population based on gender and age. We conducted a cross-sectional study of individuals of all ages from the EpiChron Cohort, Spain (1,253,292 subjects), and analyzed the presence of systematic associations among chronic disease diagnoses using exploratory factor analysis. We identified and clinically described a total of 14 different multimorbidity patterns (12 in women and 12 in men), with some relevant differences in the functions of age and gender. The number and complexity of the patterns was shown to increase with age in both genders. We identified associations of circulatory diseases with respiratory disorders, chronic musculoskeletal diseases with depression and anxiety, and a very consistent pattern of conditions whose co-occurrence is known as metabolic syndrome (hypertension, diabetes, obesity, and dyslipidaemia), among others. Our results demonstrate the potential of using real-world data to conduct large-scale epidemiological studies to assess the complex interactions among chronic conditions. This could be useful in designing clinical interventions for patients with multimorbidity, as well as recommendations for healthcare professionals on how to handle these types of patients in clinical practice.

The prevalence and risk factors for urinary incontinence among inpatients, a multicenter study from Turkey

OBJECTIVE

To determine the prevalence and the factors associated with urinary incontinence (UI) among inpatients in Turkey.

METHOD

The population of this study comprised of patients screened by the "National Prevalence Measurement of Quality of Care (LPZ)" study in 2017 and 2018. Age, gender, comorbidities, length of hospital stay, sedative medications, SARC-F score, anthropometric measurements, and care parameters such as malnutrition, falls, UI-fecal incontinence (FI), restraints, and care dependency score (CDS) were noted. The LPZ questionnaire was performed by trained researchers, and multiple logistic regression analysis was performed to determine the factors associated with UI.

RESULTS

The prevalence of UI was 29.4 % among 1176 inpatients, and 41.6 % in patients ≥65 years. Urinary incontinence was associated with older age (OR, 1.966, 95 % CI 1.330-2.905), female sex (OR, 2.055, 95 % CI 1.393-3.030), CDS (OR, 3.236, 95 % CI 2.080-5.035), the number of comorbidities (OR, 1.312, 95 % CI 1.106-1.556), end-of life management (OR, 3.156, 95 % CI 1.412-7.052), sedative medications (OR, 1.981, 95 % CI 1.230-3.191), and FI (OR, 12.533, 95 % CI 4.892-32.112) in all adults, where CDS (OR, 2.589, 95% CI 1.458-4.599), end-of life management (OR, 2.851, 95 % CI 1.095-7.424), sedative medications (OR, 2.529, 95 % CI 1.406-4.548), and FI (OR, 13.138, 95 % CI 4.352-39.661) were associated with UI among geriatric patients.

CONCLUSIONS

The factors associated with UI in geriatric and all adult inpatients are CDS, sedative medications, end-of life management, and FI plus older age, female sex, and comorbidities for the latter. The factors associated with UI vary in different age groups.

Prevalence of secondary care multimorbidity in mid-life and its association with premature mortality in a large longitudinal cohort study

OBJECTIVES

Multimorbidity is the coexistence of two or more health conditions in an individual. Multimorbidity in younger adults is increasingly recognised as an important challenge. We assessed the prevalence of secondary care multimorbidity in mid-life and its association with premature mortality over 15 years of follow-up, in the Aberdeen Children of the 1950s (ACONF) cohort.

METHOD

A prospective cohort study using linked electronic health and mortality records. Scottish ACONF participants were linked to their Scottish Morbidity Record hospital episode data and mortality records. Multimorbidity was defined as two or more conditions and was assessed using healthcare records in 2001 when the participants were aged between 45 and 51 years. The association between multimorbidity and mortality over 15 years of follow-up (to ages 60-66 years) was assessed using Cox proportional hazards regression. There was also adjustment for key covariates: age, gender, social class at birth, intelligence at age 7, secondary school type, educational attainment, alcohol, smoking, body mass index and adult social class.

RESULTS

Of 9625 participants (51% males), 3% had multimorbidity. The death rate per 1000 person-years was 28.4 (95% CI 23.2 to 34.8) in those with multimorbidity and 5.7 (95% CI 5.3 to 6.1) in those without. In relation to the reference group of those with no multimorbidity, those with multimorbidity had a mortality HR of 4.5 (95% CI 3.4 to 6.0) over 15 years and this association remained when fully adjusted for the covariates (HR 2.5 (95% CI 1.5 to 4.0)).

CONCLUSION

Multimorbidity prevalence was 3% in mid-life when measured using secondary care administrative data. Multimorbidity in mid-life was associated with premature mortality.

Prescribing medications of questionable benefit prior to death: a retrospective study on older nursing home residents with and without dementia in Germany

Purpose

We studied the prevalence of medications of questionable benefit in the last 6 months of life among older nursing home residents with and without dementia in Germany.

Methods

A retrospective cohort study was conducted on claims data from 67,328 deceased nursing home residents aged 65+ years who were admitted between 2010 and 2014. We analyzed prescription regimens of medications of questionable benefit in the 180–91-day period and the 90-day period prior to death for residents with dementia (n = 29,052) and without dementia (n = 38,276). Factors associated with new prescriptions of medications of questionable benefit prior to death were analyzed using logistic regression models among all nursing home residents and stratified by dementia.

Results

A higher proportion of nursing home residents with dementia were prescribed at least one medication of questionable benefit in the 180–91-day (29.6%) and 90-day (26.8%) periods prior to death, compared with residents without dementia (180–91 days, 22.8%; 90 days, 20.1%). Lipid-lowering agents were the most commonly prescribed medications. New prescriptions of medications of questionable benefit were more common among residents with dementia (9.8% vs. 8.7%). When excluding anti-dementia medication, new prescriptions of these medications were more common among residents without dementia (6.4% vs. 8.0%). The presence of dementia (odds ratio [OR] 1.40, 95% confidence interval [95%CI] 1.32–1.48) and excessive polypharmacy were associated with new prescriptions of medications of questionable benefit prior to death (OR 4.74, 95%CI 4.15–5.42).

Conclusion

Even when accounting for anti-dementia prescriptions, the prevalence of nursing home residents with dementia receiving medications of questionable benefit is considerable and may require further attention.

Electronic supplementary material

The online version of this article (10.1007/s00228-020-02859-3) contains supplementary material, which is available to authorized users.

Screening for vulnerable older people: Is the Probability of Repeated Admission scale an accurate tool?

AIM

To evaluate the Probability of Repeated Admission (Pra) scale performance in predicting healthcare utilization and death in a community sample of Rio de Janeiro city, Brazil.

METHODS

This was a prospective longitudinal study. The sample was composed of community-dwelling older people who participated in the research network Frailty in Brazilian Older People Study, Rio de Janeiro section. It analyzed data from the baseline and the follow up. At the baseline, 764 older adults were stratified by the Pra, and, 3 years later, data on health services utilization and survival status were collected. The Pra accuracy, obtained by the area under the curve, the sensitivity and the specificity to predict hospitalization in 3 years; visits to the emergency department; and death were determined. Cox regression estimated the survival curves, according to the risk strata.

RESULTS

The accuracy, the sensitivity and the specificity of Pra were 62% (95% CI 57-68%), 8.8% and 95.4% for hospitalization in 3 years; 59% (95% CI 53-64%), 8.3% and 94.8% for emergency room visits; 66% (95% CI 59-74%) and 68% (95% CI 63-73%), 15.0% and 96.0% for death. Survival curves showed that high-risk individuals were more likely to die compared with the low-risk individuals, adjusted to covariables (P < 0.001).

CONCLUSIONS

The Pra presented low accuracy, low sensitivity and high specificity for all outcomes observed, indicating a poor performance to screen vulnerable older adults in Brazil. Therefore, this tool should not be used alone, as a case-finding instrument. Geriatr Gerontol Int 2020; 20: 360-365.

Multimorbidity gender patterns in hospitalized elderly patients

Patients with multimorbidity and complex health care needs are usually vulnerable elders with several concomitant advanced chronic diseases. Our research aim was to evaluate differences in patterns of multimorbidity by gender in this population and their possible prognostic implications, measured as in-hospital mortality, 1-month readmissions, and 1-year mortality. We focused on a cohort of elderly patients with well-established multimorbidity criteria admitted to a specific unit for chronic complex-care patients. Multimorbidity criteria, the Charlson, PROFUND and Barthel indexes, and the Pfeiffer test were collected prospectively during their stays. A total of 843 patients (49.2% men) were included, with a median age of 84 [interquartile range (IQR) 79–89] years. The women were older, with greater functional dependence [Barthel index: 40 (IQR:10–65) vs. 60 (IQR: 25–90)], showed more cognitive deterioration [Pfeiffer test: 5 (IQR:1–9) vs. 1 (0–6)], and had worse scores on the PROFUND index [15 (IQR:9–18) vs. 11.5 (IQR: 6–15)], all p <0.0001, while men had greater comorbidity measured with the Charlson index [5 (IQR: 3–7) vs. 4 (IQR: 3–6); p = 0.002]. In the multimorbidity criteria scale, heart failure, autoimmune diseases, dementia, and osteoarticular diseases were more frequent in women, while ischemic heart disease, chronic respiratory diseases, and neoplasms predominated in men. In the analysis of grouped patterns, neurological and osteoarticular diseases were more frequent in females, while respiratory and cancer predominated in males. We did not find gender differences for in-hospital mortality, 1-month readmissions, or 1-year mortality. In the multivariate analysis age, the Charlson, Barthel and PROFUND indexes, along with previous admissions, were independent predictors of 1-year mortality, while gender was non-significant. The Charlson and PROFUND indexes predicted mortality during follow-up more accurately in men than in women (AUC 0.70 vs. 0.57 and 0.74 vs. 0.62, respectively), with both p<0.001. In conclusion, our study shows differing patterns of multimorbidity by gender, with greater functional impairment in women and more comorbidity in men, although without differences in the prognosis. Moreover, some of these prognostic indicators had differing accuracy for the genders in predicting mortality.

Best Definitions of Multimorbidity to Identify Patients With High Health Care Resource Utilization

Objective

To compare different definitions of multimorbidity to identify patients with higher health care resource utilization.

Patients and Methods

We used a multinational retrospective cohort including 147,806 medical inpatients discharged from 11 hospitals in 3 countries (United States, Switzerland, and Israel) between January 1, 2010, and December 31, 2011. We compared the area under the receiver operating characteristic curve (AUC) of 8 definitions of multimorbidity, based on International Classification of Diseases codes defining health conditions, the Deyo-Charlson Comorbidity Index, the Elixhauser-van Walraven Comorbidity Index, body systems, or Clinical Classification Software categories to predict 30-day hospital readmission and/or prolonged length of stay (longer than or equal to the country-specific upper quartile). We used a lower (yielding sensitivity ≥90%) and an upper (yielding specificity ≥60%) cutoff to create risk categories.

Results

Definitions had poor to fair discriminatory power in the derivation (AUC, 0.61-0.65) and validation cohorts (AUC, 0.64-0.71). The definitions with the highest AUC were number of (1) health conditions with involvement of 2 or more body systems, (2) body systems, (3) Clinical Classification Software categories, and (4) health conditions. At the upper cutoff, sensitivity and specificity were 65% to 79% and 50% to 53%, respectively, in the validation cohort; of the 147,806 patients, 5% to 12% (7474 to 18,008) were classified at low risk, 38% to 55% (54,484 to 81,540) at intermediate risk, and 32% to 50% (47,331 to 72,435) at high risk.

Conclusion

Of the 8 definitions of multimorbidity, 4 had comparable discriminatory power to identify patients with higher health care resource utilization. Of these 4, the number of health conditions may represent the easiest definition to apply in clinical routine. The cutoff chosen, favoring sensitivity or specificity, should be determined depending on the aim of the definition.

Urban-rural and socioeconomic status: Impact on multimorbidity prevalence in hospitalized patients

OBJECTIVE

The aim of this study was to describe multimorbidity prevalence in hospitalized adults, by urban-rural area of residence and socioeconomic status (SES).

METHODS

Linked hospital episode data were used. Adults (≥18 years) admitted to hospital as an inpatient during 2014 in Grampian, Scotland, were included. Conditions were identified from admissions during the 5 years prior to the first admission in 2014. Multimorbidity was defined as ≥2 conditions and measured using Tonelli et al. based on International Classification of Diseases-10 coding (preselected list of 30 conditions). We used proportions and 95% confidence intervals (CIs) to summarize the prevalence of multimorbidity by age group, sex, urban-rural category and deprivation. The association between multimorbidity and patient characteristics was assessed using the χ 2 test.

RESULTS

Forty one thousand five hundred and forty-five patients were included (median age 62, 52.6% female). Overall, 27.4% (95% CI 27.0, 27.8) of patients were multimorbid. Multimorbidity prevalence was 28.8% (95% CI 28.1, 29.5) in large urban versus 22.0% (95% CI 20.9, 23.3) in remote rural areas and 28.7% (95% CI 27.2, 30.3) in the most deprived versus 26.0% (95% CI 25.2, 26.9) in the least deprived areas. This effect was consistent in all age groups, but not statistically significant in the age group 18-29 years. Multimorbidity increased with age but was similar for males and females.

CONCLUSION

Given the scarcity of research into the effect of urban-rural area and SES on multimorbidity prevalence among hospitalized patients, these findings should inform future research into new models of care, including the consideration of urban-rural area and SES.

The prognostic significance of geriatric syndromes and resources

BACKGROUND

Geriatric syndromes (GS) do not fit into discrete disease categories and are often underdiagnosed in hospitalized older adults. Geriatric resources (GR) are also not routinely collected in clinical settings, although this may potentiate the beneficial effects of clinical decisions. The prognostic relevance of GS and GR has never been systematically evaluated through clinical tools developed for clinical decision purposes.

AIM

To ascertain the impact of common GS and GR on patients' prognosis as assessed by means of the comprehensive geriatric assessment (CGA)-based Multidimensional Prognostic Index (MPI).

METHODS

One hundred and thirty-five hospitalized patients aged 70 years and older underwent a CGA evaluation with calculation of the MPI on admission and discharge. Accordingly, patients were subdivided in low (MPI-1, score 0-0.33), moderate (MPI-2, score 0.34-0.66), and severe (MPI-3, score 0.67-1)-risk of mortality at 1 month and 1 year. Nine GR and 17 GS were identified and collected accordingly.

RESULTS

A lower number of GS and a higher number of GR were shown to be highly significantly correlated with a lower MPI, as well as years of education, grade of care, and number of medications independent of age, sex and number of GS or GR. Underweight and obesity according to the BMI were significantly correlated to higher number of GS. Patients with more GR had a significantly higher chance of being discharged home.

CONCLUSIONS

The MPI evaluation together with GS and GR in acute care for older patients should be encouraged to improve clinical decision-making.

Assessment Protocol for Older Adults With Substance Use

This quality improvement project focuses on geriatric syndromes in patients 55 years and older admitted to a Minnesota substance abuse treatment center. Age-specific assessments identify abnormal conditions or geriatric syndromes, which prompt earlier nursing and medical interventions. Nursing staff attended a training program that focused on older adults and the use of the Fulmer SPICES tool for patients over the age of 55 years. Pretest and posttest scores showed a positive change in nursing knowledge with an increase in mean test scores of 10.32 (SD = 1.763) to 12.81 (SD = 1.545), p = .000. A 2-month preimplementation and postimplementation chart audit identified changes in assessment findings using the SPICES tool with an increase in adverse outcomes (1.03%) including sleep problems in 75.4% (n = 43) of the target population.

Do replicable profiles of multimorbidity exist? Systematic review and synthesis

This systematic review aimed to synthesise multimorbidity profiling literature to identify replicable and clinically meaningful groupings of multimorbidity. We searched six electronic databases (Medline, EMBASE, PsycINFO, CINAHL, Scopus, and Web of Science) for articles reporting multimorbidity profiles. The identified profiles were synthesised with multidimensional scaling, stratified by type of statistical analysis used in the derivation of profiles. The 51 studies that met inclusion criteria reported results of 98 separate analyses of multimorbidity profiling, with a total of 407 multimorbidity profiles identified. The statistical techniques used to identify multimorbidity profiles were exploratory factor analysis, cluster analysis of diseases, cluster analysis of people, and latent class analysis. Reporting of methodological details of statistical methods was often incomplete. The discernible groupings of multimorbidity took the form of both discrete categories and continuous dimensions. Mental health conditions and cardio-metabolic conditions grouped along identifiable continua in the synthesised results of all four methods. Discrete groupings of chronic obstructive pulmonary disease with asthma, falls and fractures with sensory deficits and of Parkinson's disease and cognitive decline where partially replicable (identifiable in the results of more than one method), while clustering of musculoskeletal conditions and clustering of reproductive systems were each observed only in one statistical approach. The two most replicable multimorbidity profiles were mental health conditions and cardio-metabolic conditions. Further studies are needed to understand aetiology and evolution of these multimorbidity groupings. Guidelines for strengthening the reporting of multimorbidity profiling studies are proposed.

Social position and geriatric syndromes among Swedish older people: a population-based study

Background

Older people with a low social position are at higher risk of poor health outcomes compared to those with a higher social position. Whether lower social position also increases the risk of geriatric syndromes (GSs) remains to be determined. This study investigates the association of social position with GSs among older community-dwellers.

Methods

Three consecutive population-based health surveys in 2006, 2010 and 2014 among older community-dwellers (age 65–84 years) in Stockholm County were combined (n = 17,612) and linked with Swedish administrative registry information. Social position was assessed using registry information (i.e. education, country of origin and civil status) and by self-reports (i.e. type of housing and financial stress). GSs were assessed by self-reports of the following conditions: insomnia, urinary incontinence, functional decline, falls, depressive disorder, hearing or vision problems. Binomial logistic regression analyses were used to estimate the association between social position and GSs after adjusting for age, sex, health status, health behavior and social stress.

Results

The prevalence of GSs was 70.0%, but varied across GSs and ranged from 1.9% for depression to 39.1% for insomnia. Living in rented accommodation, being born outside the Nordic countries, being widowed or divorced were associated with GS presence. Financial stress was most strongly associated with GSs (adjusted odds ratio, 2.59; 95% CI, 2.13–3.15).

Conclusion

GSs are highly prevalent among older Swedish community-dwellers with wide variations across syndromes and strong association with all measures of social position, most strikingly that of experiencing financial stress.

Utility of FEV1/FEV6 index in patients with multimorbidity hospitalized for decompensation of chronic diseases

Spirometry remains essential for the diagnosis of airway obstruction. Nevertheless, its performance in elderly hospitalized patients with multimorbidity can be difficult. The aim of this study is to assess the utility of the COPD-6 portable device in this population. We included all patients hospitalized for exacerbation of chronic diseases in a medical ward specialized in the care of multimorbidity patients, between September 2017 and May 2018. A questionnaire including sociodemographic, cognitive and functional impairment, among other variables, was completed the last day of admission. Subsequently, patients attempted to perform three valid respiratory manoeuvres with the COPD-6 device and then conventional spirometry. A total of 184 patients were included (mean age of 79.61 years, 55% men). Forty-seven (25.54%) patients were able to perform complete spirometric manoeuvres and 99 (53.8%) could perform a valid FEV1/FEV6 determination. The inability to perform a valid spirometry was related with the patient’s age, functional physical disability, cognitive impairment or the presence of delirium or dysphagia during admission. Only 9% of patients with a Mini Mental Cognitive Examination (MMEC) lower than 24 points could perform a valid spirometry. Of the patients with an MMEC < 24 points and unable to perform spirometry, 34% were able to complete the FEV1/FEV6 manoeuvres. No differences were found in the Charlson index, multimorbidity scale, number of domiciliary drugs, or length of stay between those patients able and those not able to perform respiratory manoeuvres. The agreement between the values for FEV1 measured with COPD-6 and those observed in the spirometry was good (r: 0.71; p<0.0001). Inability to perform a valid spirometry during hospitalization in elderly patients with multimorbidity is frequent and related with functional and cognitive impairment. FEV1/FEV6 determination using the COPD-6 portable device allows an important percentage of the patients with limitations to complete spirometric measurement.

Patterns of multimorbidity associated with 30-day readmission: a multinational study

BACKGROUND

Multimorbidity is associated with higher healthcare utilization; however, data exploring its association with readmission are scarce. We aimed to investigate which most important patterns of multimorbidity are associated with 30-day readmission.

METHODS

We used a multinational retrospective cohort of 126,828 medical inpatients with multimorbidity defined as ≥2 chronic diseases. The primary and secondary outcomes were 30-day potentially avoidable readmission (PAR) and 30-day all-cause readmission (ACR), respectively. Only chronic diseases were included in the analyses. We presented the OR for readmission according to the number of diseases or body systems involved, and the combinations of diseases categories with the highest OR for readmission.

RESULTS

Multimorbidity severity, assessed as number of chronic diseases or body systems involved, was strongly associated with PAR, and to a lesser extend with ACR. The strength of association steadily and linearly increased with each additional disease or body system involved. Patients with four body systems involved or nine diseases already had a more than doubled odds for PAR (OR 2.35, 95%CI 2.15-2.57, and OR 2.25, 95%CI 2.05-2.48, respectively). The combinations of diseases categories that were most strongly associated with PAR and ACR were chronic kidney disease with liver disease or chronic ulcer of skin, and hematological malignancy with esophageal disorders or mood disorders, respectively.

CONCLUSIONS

Readmission was associated with the number of chronic diseases or body systems involved and with specific combinations of diseases categories. The number of body systems involved may be a particularly interesting measure of the risk for readmission in multimorbid patients.

Development of a prediction model for 30-day acute readmissions among older medical patients: the influence of social factors along with other patient-specific and organisational factors

Background

Readmission rate is one way to measure quality of care for older patients. Knowledge is sparse on how different social factors can contribute to predict readmission. We aimed to develop and internally validate a comprehensive model for prediction of acute 30-day readmission among older medical patients using various social factors along with demographic, organisational and health-related factors.

Methods

We performed an observational prospective study based on a group of 770 medical patients aged 65 years or older, who were consecutively screened for readmission risk factors at an acute care university hospital during the period from February to September 2012. Data on outcome and candidate predictors were obtained from clinical screening and administrative registers. We used multiple logistic regression analyses with backward selection of predictors. Measures of model performance and performed internal validation were calculated.

Results

Twenty percent of patients were readmitted within 30 days from index discharge. The final model showed that low educational level, along with male gender, contact with emergency doctor, specific diagnosis, higher Charlson Comorbidity Index score, longer hospital stay, cognitive problems, and medical treatment for thyroid disease, acid-related disorders, and glaucoma, predicted acute 30-day readmission. Area under the receiver operating characteristic curve (0.70) indicated acceptable discriminative ability of the model. Calibration slope was 0.98 and calibration intercept was 0.01. In internal validation analysis, both discrimination and calibration measures were stable.

Conclusions

We developed a model for prediction of readmission among older medical patients. The model showed that social factors in the form of educational level along with demographic, organisational and health-related factors contributed to prediction of acute 30-day readmissions among older medical patients.

Hospitalisation of people with dementia: evidence from English electronic health records from 2008 to 2016

Hospitalisation of people with dementia is associated with adverse outcomes and high costs. We aimed to examine general, i.e. non-psychiatric, hospitalisation rates, changes since 2008 and factors associated with admission. We also aimed to compare admission rates of people with dementia with age-matched people without dementia. We conducted a cohort study of adults ≥ 65 years, with dementia diagnosed during the 2008-2016 study window, derived from a large secondary mental healthcare database in South London, UK. We used national general hospital records to identify emergency and elective hospitalisations. We calculated the cumulative incidence and rate of hospitalisation and examined predictors of hospitalisation using negative binomial regression, with multiple imputation for missing covariate data. We calculated age-standardised admission ratio for people with dementia compared to those without. Of 10,137 people, 50.6% were admitted to hospital in the year following dementia diagnosis and 75.9% were admitted during median 2.5 years follow-up. Annual admission rate was 1.26/person-year of which 0.90/person-year were in emergency. Emergency hospitalisation rate increased throughout the study period. Compared to controls without diagnosed dementia in the catchment area, the age-standardised emergency admission ratio for people with dementia was 2.06 (95% CI 1.95, 2.18). Male, older, white and socio-economically deprived people and those with clinically significant comorbid physical illness, depressed mood, activity of daily living or living condition problems had more hospitalisations. Emergency hospitalisations of people with dementia are higher than those without, and increasing. Many factors associated with admission are social and psychological, and may be targets for future interventions that aim to reduce avoidable admissions.

Patterns of multimorbid health conditions: a systematic review of analytical methods and comparison analysis

Background

The latest review of studies on multimorbidity patterns showed high heterogeneity in the methodology for identifying groups of multimorbid conditions. However, it is unclear how analytical methods used influence the identified multimorbidity patterns.

Methods

We undertook a systematic review of analytical methods used to identify multimorbidity patterns in PubMed and EMBASE from their inception to January 2017. We conducted a comparison analysis to assess the effect the analytical methods had on the multimorbidity patterns identified, using the Australian National Health Survey (NHS) 2007-08 data.

Results

We identified 13 194 studies and excluded 13 091 based on titles/abstracts. From the full-text reviews of the 103 remaining publications, we identified 41 studies that used five different analytical methods to identify multimorbid conditions in the studies. Thirty-seven studies (90%) adopted either the factor-analysis or hierarchical-clustering methods, but heterogeneity arises for the use of different proximity measures within each method to form clusters. Our comparison analysis showed the variation in identified groups of multimorbid conditions when applying the methods to the same NHS data. We extracted main similarities among the groupings obtained by the five methods: (i) cardiovascular and metabolic diseases, (ii) mental health problems and (iii) allergic diseases.

Conclusion

We showed the extent of effects for heterogeneous analytical methods on identification of multimorbidity patterns. However, more work is needed to guide investigators for choosing the best analytical method to improve the validity and generalizability of findings. Investigators should also attempt to compare results obtained by various methods for a consensus grouping of multimorbid conditions.

Latent tuberculosis infection in healthcare workers in low- and middle-income countries: an updated systematic review

Healthcare workers (HCWs) are at increased risk of latent tuberculosis (TB) infection (LTBI) and TB disease.We conducted an updated systematic review of the prevalence and incidence of LTBI in HCWs in low- and middle-income countries (LMICs), associated factors, and infection control practices. We searched MEDLINE, Embase and Web of Science (January 1, 2005-June 20, 2017) for studies published in any language. We obtained pooled estimates using random effects methods and investigated heterogeneity using meta-regression.85 studies (32 630 subjects) were included from 26 LMICs. Prevalence of a positive tuberculin skin test (TST) was 14-98% (mean 49%); prevalence of a positive interferon-γ release assay (IGRA) was 9-86% (mean 39%). Countries with TB incidence ≥300 per 100 000 had the highest prevalence (TST: pooled estimate 55%, 95% CI 41-69%; IGRA: pooled estimate 56%, 95% CI 39-73%). Annual incidence estimated from the TST was 1-38% (mean 17%); annual incidence estimated from the IGRA was 10-30% (mean 18%). The prevalence and incidence of a positive test was associated with years of work, work location, TB contact and job category. Only 15 studies reported on infection control measures in healthcare facilities, with limited implementation.HCWs in LMICs in high TB incidence settings remain at increased risk of acquiring LTBI. There is an urgent need for robust implementation of infection control measures.

Measuring multimorbidity in hospitalised patients using linked hospital episode data: comparison of two measures

Introduction

Multimorbidity is a complex and growing health challenge. There is no accepted “gold standard” multimorbidity measure for hospital resource planning, and few studies have compared measures in hospitalised patients.

Aim

To evaluate operationalisation of two multimorbidity measures in routine hospital episode data in NHS Grampian, Scotland.

Methods

Linked hospital episode data (Scottish Morbidity Record (SMR)) for the years 2009-2016 were used. Adults admitted to hospital as a general/acute inpatient during 2014 were included. Conditions (ICD-10) were identified from general/acute (SMR01) and psychiatric (SMR04) admissions during the five years prior to first admission in 2014. Two count-based multimorbidity measures were used (Charlson Comorbidity Index and Tonelli et al.), and multimorbidity was defined as ≥2 conditions. Kappa statistics assessed agreement. The association between multimorbidity and length of stay, readmission and mortality was assessed using logistic and negative binomial regression as appropriate.

Results

In 41,545 adults (median age 62 years, 52.6% female), multimorbidity prevalence was 15.1% (95% CI 14.8%, 15.5%) using Charlson and 27.4% (27.0%, 27.8%) using Tonelli – agreement 85.1% (Kappa 0.57). Multimorbidity prevalence, using both measures, increased with age. Multimorbidity was higher in males (16.5%) than females (13.9%) using the Charlson measure, but similar across genders when measured with Tonelli. After adjusting for covariates, multimorbidity remained associated with longer length of stay (Charlson IRR 1.1 (1.0, 1.2); Tonelli IRR 1.1 (1.0, 1.2)) and readmission (Charlson OR 2.1 (1.9, 2.2); Tonelli OR 2.1 (2.0, 2.2)). Multimorbidity had a stronger association with mortality when measured using Charlson (OR 2.7 (2.5, 2.9)), than using Tonelli (OR 1.8 (1.7, 2.0)).

Conclusions

Multimorbidity measures operationalised in hospital episode data identified those at risk of poor outcomes and such operationalised tools will be useful for future multimorbidity research and use in secondary care data systems. Multimorbidity measures are not interchangeable, and the choice of measure should depend on the purpose.

Highlights

Influence of external peer reviewer scores for funding applications on funding board decisions: a retrospective analysis of 1561 reviews

OBJECTIVES

To evaluate the influence of external peer reviewer scores on the National Institute for Health Research (NIHR) research funding board decisions by the number of reviewers and type of reviewer expertise.

DESIGN

Retrospective analysis of external peer review scores for shortlisted full applications for funding (280 funding applications, 1236 individual reviewers, 1561 review scores).

SETTING

Four applied health research funding programmes of NIHR, UK.

MAIN OUTCOME MEASURES

Board decision to fund or not fund research applications.

RESULTS

The mean score of reviewers predicted funding decisions better than individual reviewer scores (area under the receiver operating characteristic (ROC) curve 0.75, 95% CI 0.69 to 0.81 compared with 0.62, CI 0.59 to 0.65). There was no substantial improvement in how accurately mean reviewer scores predicted funding decisions when the number of reviewers increased above 4 (area under ROC curve 0.75, CI 0.59 to 0.91 for four reviewers; 0.80, CI 0.67 to 0.92 for seven or more). Reviewers with differing expertise influenced the board's decision equally, including public and patient reviewers (area under ROC curves from 0.57, CI 0.47 to 0.66 for health economists to 0.64, CI 0.57 to 0.70 for subject-matter experts). The areas under the ROC curves were quite low when using reviewers' scores, confirming that boards do not rely solely on those scores alone to make their funding decisions, which are best predicted by the mean board score.

CONCLUSIONS

Boards value scores that originate from a diverse pool of reviewers. On the basis of independent reviewer score alone, there is no detectable benefit of using more than four reviewer scores in terms of their influence on board decisions, so to improve efficiency, it may be possible to avoid using larger numbers of reviewers. The funding decision is best predicted by the board score.

Hospital Discharge Decisions Concerning Older Patients: Understanding the Underlying Process

ABSTRACTWe aimed to understand clinical decision-making processes that influence the orientation of older patients after hospital discharge. We compared discharge decisions (i.e., discharge home, or nursing home stay) of the hospital team with those of an expert panel. Both panel and hospital team made their decisions independently. The blind study included 102 patients (mean age: 83.13 ± 6.74). There is a statistically significant difference between expert and hospital team decisions (p &lt; .001; kappa coefficient: 0.468). Panel decisions were more closely associated with isolation (p = .018), reliable caregivers (p = .004), social problems (p = .001), and behavioural symptoms perceived as aggressive (p = .001). Both decision processes considered refusal of care (p = 0,025 and 0.016 respectively) and social problems (p = .001 and &lt; 0.001 respectively). Discharge planning models differ depending on the country, team and patient's condition. Our study suggests more precise evaluation of patients' needs.