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

Neonatal multimorbidity and the phenotype of premature aging in preterm infants

Multimorbidity is the co-occurrence of multiple chronic health problems, associated with aging, frailty, and poor functioning. Children born preterm experience more multimorbid conditions in early life compared to term-born peers. Though neonatal multimorbidity is linked to poor health-related quality of life, functional outcomes, and peer group participation, gaps in our theoretical understanding and conceptualization remain. Drawing from life course epidemiology and the Developmental Origins of Heath and Disease models, we offer a framework that neonatal multimorbidity reflects maturational vulnerability posed by preterm birth. The impact of such vulnerability on health and development may be further amplified by adverse exposures and interventions within the environment of the neonatal intensive care unit. This can be exacerbated by disadvantaged home or community contexts after discharge. Uncovering the physiologic and social antecedents of multiple morbid conditions in the neonatal period and their biological underpinnings will allow for more accurate risk-prediction, counseling, and care planning for preterm infants and their families. According to this framework, the maturational vulnerability to multimorbidity imparted by preterm birth and its negative effects on health and development are not predetermined or static. Elucidating pathways of early biologic and physical aging will lead to improvements in care and outcomes. IMPACT: Multimorbidity is associated with significant frailty and dysfunction among older adults and is indicative of early physiologic aging. Preterm infants commonly experience multimorbidities in the newborn period, an underrecognized threat to long-term health and development. We offer a novel framework incorporating multimorbidity, early cellular aging, and life course health development to innovate risk-prediction, care-planning, and therapeutics.

Effectiveness of an interdisciplinary home care approach for older adults with chronic conditions: A systematic review and meta-analysis

The effectiveness of interdisciplinary home healthcare service consisting of at least two or more healthcare providers, such as a nurse, physician and physiotherapist, for community-dwelling older adults remains unclear. This systematic review assesses the effects of interdisciplinary home care on quality of life (QOL) and health outcomes in older adults with chronic conditions using validated tools. Databases were searched using CINAHL Plus with Full Text, PubMed, EMBASE, CENTRAL, PsycINFO, and OpenGrey from inception to January 25, 2021. Eligibility criteria included (i) an interdisciplinary home care approach, (ii) participants aged 65 years and older with chronic conditions, (iii) randomized controlled trials (RCTs), and (iv) original literature in English. The study reviewer's dyad independently screened the literature and assessed the study quality using the Cochrane's Risk of Bias 2 tool. The analysis employed qualitative and quantitative integration and Grading of Recommendations Assessment, Development, and Evaluation. This study included 13 RCTs with 4709 participants. Four RCTs indicated that interdisciplinary home healthcare services reduced hospital admissions during the initial 6 months after the start of home care interventions (risk ratio [RR] = 0.73; 95% confidence interval [CI] = 0.61-0.88; p < 0.001; I2 = 0%). However, evidence certainty was moderate; QOL and mortality showed low certainty; and institutionalization and adherence showed moderate certainty of evidence. This study suggests that the interdisciplinary home care approach reduces hospital admissions but lacks effects on other outcomes. More robust studies are required to evaluate this evidence. Geriatr Gerontol Int 2024; ••: ••-••.

Impact of infection on healthcare costs and clinical outcomes in elderly hospitalized patients with multimorbidity

Background

Elderly patients with multimorbidity are at higher risk of greater healthcare costs and poor outcomes due to decreased physical function. The aim of this study was to investigate the impact of infection on healthcare costs and poor outcomes in elderly hospitalized patients with multimorbidity.

Methods

We retrospectively enrolled 264 patients who met the inclusion criteria from the department of geriatrics of a large public hospital in Shanghai, China between January 2020 and December 2020. Patients were divided into two groups based on whether they had infection [infection present on admission (IPOA) or healthcare-associated infection(HAI)]. We recorded the basic information and follow-up information of all patients. The follow-up information included 30-day and 1-year all-cause readmission and mortality. Then we analyzed the association between infection and healthcare costs and clinical outcomes.

Results

Among 264 subjects, 47.73 % of them achieved IPOA or HAI. The 30-day poor outcomes rate was 45.45 %, and the 1-year poor outcomes rate was 78.41 %. Compared with subjects without infection, the number of drugs and the disease burden were greater in subjects with infection(P < 0.001). Subjects with infection had longer length of hospital stay(P < 0.001) and had greater healthcare cost(P < 0.001). Moreover, subjects with infection had higher poor outcomes rates of 30-day and 1-year(P < 0.001). Infection could predict greater total cost [odds ratio (OR): 1.32, 95 % CI: 1.18,1.49,P < 0.001], nursing cost(OR: 11.45, 95 % CI: 3.49,37.63,P < 0.001), and medicine cost (OR: 2.37, 95 % CI: 1.70,3.31,P < 0.001). In addition, infection was also independently associated with the 30-day poor outcomes rate(OR:3.07, 95%CI: 1.80,5.24,P < 0.001), but we found no association between infection and 1-year poor outcomes rate(OR:1.43, 95 % CI:0.73,2.79,P = 0.300) after adjustment.

Conclusions

Infection was a risk factor for higher healthcare cost and 30-day poor outcome rate in elderly hospitalized patients with multimorbidity.

Effect of Discharge Readiness on 30-Day Readmissions Among Older Adults Living With Multiple Chronic Conditions

BACKGROUND

Despite decreases in readmissions among Medicare beneficiaries after the implementation of the Hospital Readmissions Reduction Program, older adults living with multiple chronic conditions (MCCs) continue to experience higher readmission rates. Few strategies leverage nursing to identify patients at risk for readmission.

OBJECTIVES

Examine the effect of nurse assessments of discharge readiness on 30-day readmissions.

RESEARCH DESIGN

Cross-sectional study linking 3 secondary data sources (ie, nurse survey, hospital survey, and Medicare claims data) representing 424 hospitals.

SUBJECTS

A total of 188,806 Medicare surgical patients with MCCs.

MEASURES

Discharge readiness was derived from the 2016 RN4CAST-US survey. Medicare claims data was used to determine the MCC count. The outcome was 30-day readmissions across the MCC count.

RESULTS

The average discharge readiness score was 0.45 (range=0-0.86) indicating that, in the average hospital, <50% of nurses were confident their patient or caregiver could manage their care after discharge. Nearly 8% of patients were readmitted within 30 days of discharge; the highest rates of readmissions were among individuals with ≥5 MCCs (4293, 13.50%). For each 10% increase in the proportion of nurses in a hospital who were confident in their patients' discharge readiness, the odds of 30-day readmission decreased by 2% (95% CI: 0.96-1.00; P =0.028) for patients with 2-4 MCCs and 3% (95% CI: 0.94-0.99; P =0.015) for patients with ≥5 MCCs, relative to patients with 0-1 MCCs.

CONCLUSIONS

Nurse assessments of discharge readiness may be a useful signal for hospitals to reduce readmissions and examine factors interfering with discharge processes.

Extended use of point-of-care technology versus usual care for in-home assessment by acute community nurses in older adults with signs of potential acute respiratory disease: an open-label randomised controlled trial protocol

BACKGROUND

Due to ageing-related physiological changes, diagnosing older adults is challenging. Delayed disease recognition may lead to adverse health outcomes and increased hospitalisation, necessitating the development of new initiatives for timely diagnosis and treatment of older adults. Point-of-care technology, such as focused lung ultrasound scan and bedside analysis of blood samples (leucocytes with differential count, electrolytes, and creatinine) conducted in the patients' home, may support clinical decision-making, and potentially reduce acute hospital admissions. We present the protocol for a randomized controlled trial, which aims at assessing the effect of focused lung ultrasound scan and bedside blood analysis during in-home assessments among older adults with signs of potential acute respiratory disease on hospital admissions.

METHOD

We will use a parallel open-label, individually randomised controlled trial design in an acute community healthcare setting. The trial will initiate on October 2022 and is expected to end one year later. The study population will include older adults (65 + year), with at least one of the following inclusion criteria: Cough, dyspnoea, fever, fall, or rapid functional decline. Expected study sample will comprise 632 participants. Participants in the control group will receive usual care, while the intervention group will undergo extended point-of-care technology (focused lung ultrasound scan and bedside venous blood analysis), in addition to usual care. The primary outcome is acute hospital admission within 30 days follow-up. Secondary outcomes include readmissions, mortality, length of hospital stay, hospital-free days, complications during hospital admission, treatment initiations or changes, functional level, re-referrals to the acute community healthcare service, and contacts to the primary care physician. A tertiary outcome is the diagnostic accuracy of Acute Community Nurses for conducting focused lung ultrasound compared with a specialist. Outcomes will be analysed as intention-to-treat.

DISCUSSION

To our knowledge, this is the first randomised controlled trial examining the effect of extended use of point-of-care technology conducted in an in-home setting. We expect that the results may contribute to the development of new interventions aiming to improve timely diagnostics, treatment decisions, and reduce acute hospital admissions.

TRIAL REGISTRATION

www.

CLINICALTRIALS

org NCT05546073 (Date of registration: September 19th, 2022).

Factors associated with readmission in chronic kidney disease: Systematic review and meta-analysis

BACKGROUND

Risk factors associated with all-cause hospital readmission are poorly characterised in patients with chronic kidney disease.

OBJECTIVE

A systematic review and meta-analysis were conducted to identify risk factors and protectors of hospital readmission in chronic kidney disease.

DESIGN, PARTICIPANTS & MEASUREMENTS

Studies involving adult patients were identified from four databases from inception to 31/03/2020. Random-effects meta-analyses were conducted to determine factors associated with all-cause 30-day hospital readmission in general chronic kidney disease, in dialysis and in kidney transplant recipient groups.

RESULTS

Eighty relevant studies (chronic kidney disease, n = 14 studies; dialysis, n = 34 studies; and transplant, n = 32 studies) were identified. Meta-analysis revealed that in both chronic kidney disease and transplant groups, increasing age in years and days spent at the hospital during the initial stay were associated with a higher risk of 30-day readmission. Other risk factors identified included increasing body mass index (kg/m2 ) in the transplant group, and functional impairment and discharge destination in the dialysis group. Within the chronic kidney disease ​​​​group, having an outpatient follow-up appointment with a nephrologist within 14 days of discharge was protective against readmission but this was not protective if provided by a primary care provider or a cardiologist.

CONCLUSION

Risk-reduction interventions that can be implemented include a nephrologist appointment within 14 days of hospital discharge, rehabilitation programme for functional improvement in the dialysis group and meal plans in the transplant group. Future risk analysis should focus on modifiable factors to ensure that strategies can be tested and implemented in those who are more at risk.

Predictive Strategies to Reduce the Risk of Rehospitalization with a Focus on Frail Older Adults: A Narrative Review

Frailty is a geriatric syndrome that has physical, cognitive, psychological, social, and environmental components and is characterized by a decrease in physiological reserves. Frailty is associated with several adverse health outcomes such as an increase in rehospitalization rates, falls, delirium, incontinence, dependency on daily living activities, morbidity, and mortality. Older adults may become frailer with each hospitalization; thus, it is beneficial to develop and implement preventive strategies. The present review aims to highlight the epidemiological importance of frailty in rehospitalization and to compile predictive strategies and related interventions to prevent hospitalizations. Firstly, it is important to identify pre-frail and frail older adults using an instrument with high validity and reliability, which can be a practically applicable screening tool. Comprehensive geriatric assessment-based care is an important strategy known to reduce morbidity, mortality, and rehospitalization in older adults and aims to meet the needs of frail patients with a multidisciplinary approach and intervention that includes physiological, psychological, and social domains. Moreover, effective multimorbidity management, physical activity, nutritional support, preventing cognitive frailty, avoiding polypharmacy and anticholinergic drug burden, immunization, social support, and reducing the caregiver burden are other recommended predictive strategies to prevent post-discharge rehospitalization in frail older adults.

Associations of hospitalisation - admission, readmission and length to stay - with multimorbidity patterns by age and sex in adults and older adults: the ELSI-Brazil study

BACKGROUND

Although the association between multimorbidity (MM) and hospitalisation is known, the different effects of MM patterns by age and sex in this outcome needs to be elucidated. Our study aimed to analyse the association of hospitalisations' variables (occurrence, readmission, length of stay) and patterns of multimorbidity (MM) according to sex and age.

METHODS

Data from 8.807 participants aged ≥ 50 years sourced from the baseline of the Brazilian Longitudinal Study of Ageing (ELSI-Brazil) were analysed. Multimorbidity was defined as ≥ 2 (MM2) and ≥ 3 (MM3) chronic conditions. Poisson regression was used to verify the association between the independent variables and hospitalisation according to sex and age group. Multiple linear regression models were constructed for the outcomes of readmission and length of stay. Ising models were used to estimate the networks of diseases and MM patterns.

RESULTS

Regarding the risk of hospitalisation among those with MM2, we observed a positive association with male sex, age ≥ 75 years and women aged ≥ 75 years. For MM3, there was a positive association with hospitalisation among males. For the outcomes hospital readmission and length of stay, we observed a positive association with male sex and women aged ≥ 75 years. Network analysis identified two groups that are more strongly associated with occurrence of hospitalisation: the cardiovascular-cancer-glaucoma-cataract group stratified by sex and the neurodegenerative diseases-renal failure-haemorrhagic stroke group stratified by age group.

CONCLUSION

We conclude that the association between hospitalisation, readmission, length of stay, and MM changes when sex and age group are considered. Differences were identified in the MM patterns associated with hospitalisation according to sex and age group.

[Predictors for Early Unplanned Readmissions]

Predictors for Early Unplanned Readmissions Abstract. Unplanned rehospitalizations represent a major burden for patients, their relatives and the healthcare system. Since the introduction of the SwissDRG in 2012, financial incentives for hospitals have been promoted to forestall readmissions. Not every patient is at risk for rehospitalization. Affected patients can be identified by predictors from various areas in order to implement adequate interventions and avoid readmissions. Predictors can be directly related to patients as in the case of polypharmacy, multiple comorbidities or related to gender, but also provider-related and system-related. Early follow-up visits or a pre-discharge medication review are cited as effective interventions.

A pilot, randomized, feasibility study to improve health self-management behaviors in older adults with multiple chronic conditions and functional limitations: Protocol for the Behavioral Activation and Occupational Therapy Trial (BA+OT)

Background

Approximately 45% of older adults in the U.S. have 2 or more chronic health conditions (e.g., arthritis, hypertension, diabetes) in addition to functional limitations that prevent performance of health self-management activities. Self-management continues to be the gold standard for managing MCC, but functional limitations create difficulty with these activities (e.g., physical activity, symptom monitoring). Restricted self-management accelerates the downward spiral of disability and accumulating chronic conditions which, in turn, increases rates of institutionalization and death by 5-fold. Currently, there are no tested interventions designed to improve independence in health self-management activities in older adults with MCC and functional limitations. Research suggests that older adults are more likely to change behavior with interventions that assist with planning health-promoting daily activities, especially when contending with complex medical regimens and functional limitations. Our team asserts that combining occupational therapy (OT) and behavioral activation (BA) shows promise to improve health self-management in populations with chronic conditions and/or functional limitations. This innovative combination uses the goal setting, scheduling/monitoring activities, and problem-solving components of the BA approach as well as the environmental modification, activity adaptation, and focus on daily routines from OT practice.

Objectives

We will test the effect of this combined approach in a Stage I, randomized controlled pilot feasibility study compared to enhanced usual care. We will recruit 40 older adults with MCC and functional limitation and randomize 20 to the PI- delivered BA-OT protocol. This research will inform modification and larger-scale testing of this novel intervention.

Prediction of 30-Day Readmission in Hospitalized Older Adults Using Comprehensive Geriatric Assessment and LACE Index and HOSPITAL Score

(1) Background: Elders have higher rates of rehospitalization, especially those with functional decline. We aimed to investigate potential predictors of 30-day readmission risk by comprehensive geriatric assessment (CGA) in hospitalized patients aged 65 years or older and to examine the predictive ability of the LACE index and HOSPITAL score in older patients with a combination of malnutrition and physical dysfunction. (2) Methods: We included patients admitted to a geriatric ward in a tertiary hospital from July 2012 to August 2018. CGA components including cognitive, functional, nutritional, and social parameters were assessed at admission and recorded, as well as clinical information. The association factors with 30-day hospital readmission were analyzed by multivariate logistic regression analysis. The predictive ability of the LACE and HOSPITAL score was assessed using receiver operator characteristic curve analysis. (3) Results: During the study period, 1509 patients admitted to a ward were recorded. Of these patients, 233 (15.4%) were readmitted within 30 days. Those who were readmitted presented with higher comorbidity numbers and poorer performance of CGA, including gait ability, activities of daily living (ADL), and nutritional status. Multivariate regression analysis showed that male gender and moderately impaired gait ability were independently correlated with 30-day hospital readmissions, while other components such as functional impairment (as ADL) and nutritional status were not associated with 30-day rehospitalization. The receiver operating characteristics for the LACE index and HOSPITAL score showed that both predicting scores performed poorly at predicting 30-day hospital readmission (C-statistic = 0.59) and did not perform better in any of the subgroups. (4) Conclusions: Our study showed that only some components of CGA, mobile disability, and gender were independently associated with increased risk of readmission. However, the LACE index and HOSPITAL score had a poor discriminating ability for predicting 30-day hospitalization in all and subgroup patients. Further identifiers are required to better estimate the 30-day readmission rates in this patient population.

Association between multimorbidity and hospitalization in older adults: systematic review and meta-analysis

Background

Multimorbidity is defined as the presence of multiple chronic conditions in the same individual. Multimorbidity is more prevalent in older adults and can lead to several adverse health outcomes.

Methods

We systematically reviewed evidence from observational studies to verify the association between multimorbidity and hospitalization in older adults. Furthermore, we also aimed to identify whether it changes according to gender, advanced age, institutionalization, and wealth of the country of residence. We searched the PubMed, Embase and Scopus databases from December 2020 to April 2021. The analysed outcomes were as follows: hospitalization, length of stay and hospital readmission.

Results

Of the 6,948 studies identified in the databases, 33 were included in this review. From the meta-analysis results, it was found that multimorbidity, regardless of the country’s wealth, was linked to hospitalization in older adults (OR = 2.52, CI 95% = 1.87–3.38). Both definitions of multimorbidity, ≥2 (OR = 2.35, 95% CI = 1.34–4.12) and ≥3 morbidities (OR = 2.52, 95% CI = 1.87–3.38), were associated with hospitalization. Regardless of gender, multimorbidity was associated with hospitalization (OR = 1.98, 95% CI = 1.67–2.34) and with readmission (OR = 1.07, 95% CI = 1.04–1.09). However, it was not possible to verify the association between multimorbidity and length of stay.

Conclusions

Multimorbidity was linked to a higher hospitalization risk, and this risk was not affected by the country’s wealth and patient’s gender. Multimorbidity was also linked to a higher hospital readmission rate in older adults. PROSPERO Registration (Registration number: CRD42021229328).

Delirium and Clusters of Older Patients Affected by Multimorbidity in Acute Hospitals

OBJECTIVES

Delirium is commonly seen in older adults with multimorbidity, during a hospitalization, resulting from the interplay between predisposing factors such as advanced age, frailty, and dementia, and a series of precipitating factors. The association between delirium and specific multimorbidity is largely unexplored so far although of potential key relevance for targeted interventions. The aim of the study was to check for a potential association of multimorbidity with delirium in a large cohort of older patients hospitalized for an acute medical or surgical condition.

DESIGN

This is a cross-sectional study nested in the 2017 Delirium Day project.

SETTING AND PARTICIPANTS

The study includes 1829 hospitalized patients (age: 81.8, SD: 5.5). Of them, 419 (22.9%) had delirium.

METHODS

Sociodemographic and medical history were collected. The 4AT was used to assess the presence of delirium. The Charlson Comorbidity index was used to assess multimorbidity.

RESULTS

The results identified neurosensorial multimorbidity as the most prevalent, including patients with dementia, cerebrovascular diseases, and sensory impairments. In light of the highest co-occurrence of 3 neurosensorial chronic conditions, we could hypothesize that a baseline altered brain functional and neural connectivity might determine the vulnerability signature for incipient overall system disruption in presence of acute insults.

CONCLUSIONS AND IMPLICATIONS

Eventually, our findings moved a step forward in supporting the key importance of routine screening for sensory impairments and cognitive status of older patients for the highest risk of in-hospital delirium. In fact, preventive interventions could be particularly relevant and effective in preventing delirium in such vulnerable populations and might help refining this early diagnosis.

Characteristics of the ideal hospitalist inpatient care program: perceptions of Canadian health system leaders

Background

Despite the growing prevalence of hospitalist programs in Canada, it is not clear what program features are deemed desirable by administrative and medical leaders who oversee them. We aimed to understand perceptions of a wide range of healthcare administrators and frontline providers about the implementation and necessary characteristics of a hospitalist service.

Methods

We conducted semi-structured interviews with a range of administrators, medical leaders and frontline providers across three hospital sites operated by an integrated health system in British Columbia, Canada.

Results

Most interviewees identified the hospitalist model as the ideal inpatient care service line, but identified a number of challenges. Interviewees identified the necessary features of an ideal hospitalist service to include considerations for program design, care and non-clinical processes, and alignment between workload and physician staffing. They also identified continuity of care as an important challenge, and underlined the importance of communication as an important enabler of implementation of a new hospitalist service.

Conclusions

Most hospital administrators and frontline providers in our study believed the hospitalist model resulted in improvements in clinical processes and work environment.

Skin Ulcers are Predictors of 30-Day Hospital Readmission, But are Under-represented in the DRG Coding: A Retrospective Case-Control Study From an Italian Internal Medicine Unit

This study retrospectively analyzes all consecutive patients who underwent during a year hospital readmissions, defined as an admission to a hospital within 30 days of discharge, to an Italian Internal Medicine ward. All these data were compared with those from patients who underwent only 1 hospital admission in the same period. The aim of this study was to identify potential novel risk factors for hospital readmissions. In 2018, a total of 3012 patients were hospitalized. Among these, 14.1% (n = 426; mean age, 79.7 ± 11.9; range, 23-100) were defined as readmissions; data were compared with controls (n = 420; 13.9%; mean age, 75.9 ± 14.7; range, 22-99) who had only 1 hospitalization. Cases showed a significantly higher prevalence than controls regarding cerebrovascular disease (77.2% vs 48.1%), cognitive impairment (51.8% vs 26.9%), congestive heart failure (47.6% vs 20.2%), chronic kidney disease (31.7% vs 13.1%), and chronic obstructive pulmonary disease (23.0% vs 14.5%). Skin ulcers were significantly more prevalent among cases (45.1% vs 17.6%). Diagnosis-related group (DRG) analysis showed a higher proportion of "infectious disease" (24.4% vs 15.0%) among the cases than in controls. Despite skin ulcers were very frequent among cases and controls (45.1% vs 17.6%), they were codified as "skin wound" DRG only in 1.4% and 0.2%, respectively. At the DRGs analysis, sepsis (31.6% vs 19.1%), pneumonia (17.1% vs 7.6%), and kidney failure (9.6% vs 3.8%) represented the main significant cause of death in cases compared to controls. Our study confirms that readmissions to Internal Medicine departments are related to the severity of chronic diseases affecting patients. Skin ulcers are present in about half of patients who will be early readmitted within 30 days, but they are almost never reported in DRGs, so more accurate coding is needed. Key challenges for the future are sepsis prevention measures and investing resources in chronic disease assistance, including skin ulcer chronic management.

Comparison of a Frailty Risk Score and Comorbidity Indices for Hospital Readmission Using Electronic Health Record Data

The purpose of the current study was to investigate the predictive properties of five definitions of a frailty risk score (FRS) and three comorbidity indices using data from electronic health records (EHRs) of hospitalized adults aged ≥50 years for 3-day, 7-day, and 30-day readmission, and to identify an optimal model for a FRS and comorbidity combination. Retrospective analysis of the EHR dataset was performed, and multivariable logistic regression and area under the curve (AUC) were used to examine readmission for frailty and comorbidity. The sample (N = 55,778) was mostly female (53%), non-Hispanic White (73%), married (53%), and on Medicare (55%). Mean FRSs ranged from 1.3 (SD = 1.5) to 4.3 (SD = 2.1). FRS and comorbidity were independently associated with readmission. Predictive accuracy for FRS and comorbidity combinations ranged from AUC of 0.75 to 0.77 (30-day readmission) to 0.84 to 0.85 (3-day readmission). FRS and comorbidity combinations performed similarly well, whereas comorbidity was always independently associated with readmission. FRS measures were more associated with 30-day readmission than 7-day and 3-day readmission. [Research in Gerontological Nursing, 14(2), 91-103.].

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.

Development of a risk prediction model of potentially avoidable readmission for patients hospitalised with community-acquired pneumonia: study protocol and population

INTRODUCTION

30-day readmission rate is considered an adverse outcome reflecting suboptimal quality of care during index hospitalisation for community-acquired pneumonia (CAP). However, potentially avoidable readmission would be a more relevant metric than all-cause readmission for tracking quality of hospital care for CAP. The objectives of this study are (1) to estimate potentially avoidable 30-day readmission rate and (2) to develop a risk prediction model intended to identify potentially avoidable readmissions for CAP.

METHODS AND ANALYSIS

The study population consists of consecutive patients admitted in two hospitals from the community or nursing home setting with pneumonia. To qualify for inclusion, patients must have a primary or secondary discharge diagnosis code of pneumonia. Data sources include routinely collected administrative claims data as part of diagnosis-related group prospective payment system and structured chart reviews. The main outcome measure is potentially avoidable readmission within 30 days of discharge from index hospitalisation. The likelihood that a readmission is potentially avoidable will be quantified using latent class analysis based on independent structured reviews performed by four panellists. We will use a two-stage approach to develop a claims data-based model intended to identify potentially avoidable readmissions. The first stage implies deriving a clinical model based on data collected through retrospective chart review only. In the second stage, the predictors comprising the medical record model will be translated into International Classification of Diseases, 10th revision discharge diagnosis codes in order to obtain a claim data-based risk model.The study sample consists of 1150 hospital stays with a diagnosis of CAP. 30-day index hospital readmission rate is 17.5%.

ETHICS AND DISSEMINATION

The protocol was reviewed by the Comité de Protection des Personnes Sud Est V (IRB#6705). Efforts will be made to release the primary study results within 6 months of data collection completion.

TRIAL REGISTRATION NUMBER

ClinicalTrials.gov Registry (NCT02833259).

The Association of Advance Care Planning Documentation and End-of-Life Healthcare Use Among Patients With Multimorbidity

PURPOSE

Multimorbidity is associated with increased intensity of end-of-life healthcare. This association has been examined by number but not type of conditions. Our purpose was to understand how intensity of care is influenced by multimorbidity within specific chronic conditions to provide guidance for interventions to improve end-of-life care for these patients.

METHODS

We identified adults cared for in a multihospital healthcare system who died between 2010-2017. We categorized patients by 4 primary chronic conditions: heart failure, pulmonary disease, renal disease, or dementia. Within each condition, we examined the effect of multimorbidity (presence of 4 or more chronic conditions) on hospital and ICU admission in the last 30 days of life, in-hospital death, and advance care planning (ACP) documentation >30 days before death. We performed logistic regression to estimate associations between multimorbidity and end-of-life care utilization, stratified by the presence or absence of ACP documentation.

RESULTS

ACP documentation >30 days before death was associated with lower odds of in-hospital death for all 4 conditions both in patients with and without multimorbidity. With the exception of patients with renal disease without multimorbidity, we observed lower odds of hospitalization and ICU admission for all patients with ACP >30 days before death.

CONCLUSIONS

Patients with dementia and multimorbidity had the highest odds of high-intensity end-of-life care. For patients with dementia, heart failure, or pulmonary disease, ACP documentation >30 days before death was associated with lower likelihood of in-hospital death, hospitalization, and ICU use at end-of-life, regardless of multimorbidity.

Association of comorbidities with clinical outcomes in patients after acute myocardial infarction

BACKGROUND

Multimorbidity becomes more prevalent in patients admitted for acute myocardial infarction (AMI). We investigated the association of an increasing number of comorbidities with the excess risk of in-hospital mortality and other clinically outcomes in hospitalized AMI patients.

METHODS

In this population-based cohort study, we analyzed 104'906 admissions for AMI between 2012 and 2018 in Switzerland. We stratified patients based on four different age categories and investigated the association of the number of five common comorbidities (diabetes, chronic kidney-, chronic obstructive pulmonary-, cerebrovascular-, and peripheral artery disease) and risk of in-hospital mortality and other outcomes.

RESULTS

A total of 5'029 admitted AMI patients (4.8%) died during the hospital stay. We found a stepwise increase in mortality risk with each additional comorbidity. Compared to AMI patients with no comorbidity, comorbid patients had a 26% increased risk for mortality (adjusted odds ratio [OR] 1.26, 95% confidence interval [CI] 1.20 to 1.33) with a pronounced association in younger patients. The overall risk for ICU admission, prolonged length of hospital stay (LOS), and 30-day readmission was higher in comorbid patients as compared to those without a comorbidity of interest (ICU: OR 1.19, 95% CI 1.16 to 1.22; LOS: OR 1.84, 95% CI 1.79 to 1.89; Readmission: OR 1.23, 95% CI 1.19 to 1.28), respectively. Again, the association of the numbers of prevalent comorbidities with adverse outcomes was strongest in the youngest patient population.

CONCLUSIONS

In patients with AMI, the burden of comorbidities has a strong association with in-hospital mortality and other adverse outcomes - especially in younger patients.

Prevalence of the age-related diseases in older patients with acquired thrombotic thrombocytopenic purpura

BACKGROUND

The prevalence of older patients with acquired thrombotic thrombocytopenic purpura (TTP) is increasing. There is scarce information on the prevalence of multimorbidity, polypharmacy and age-related diseases in aging TTP patients. This study aimed to evaluate the prevalence of multimorbidity and polypharmacy in a population of acquired TTP patients aged 65 years or more compared with a group of age-matched controls.

METHODS

Acquired TTP patients enrolled in the Milan TTP registry from December 1st 1999 to March 31th 2018 and aged 65 years or more at the date of last follow-up were evaluated. Controls were Italian healthy individuals recruited from 2006 to March 31th 2018 among friends and non-consanguineous relatives of patients tested for thrombophilia screening at the Angelo Bianchi Bonomi Hemophilia and Thrombosis Center of Milan.

RESULTS

36 TTP patients and 127 age-matched controls were included. Compared with controls, TTP patients had a higher prevalence of multimorbidity and polypharmacy. They also showed a higher prevalence of autoimmune diseases, osteoporosis and arterial hypertension and were more chronically treated with corticosteroids and antiplatelets for primary cardiovascular prevention. All these results were confirmed after adjusting for sex. Compared with the general elderly population, TTP patients showed a higher prevalence of ischemic heart disease and stroke.

CONCLUSIONS

Our findings suggest that a careful comprehensive geriatric assessment of acquired TTP patients is necessary. It is important to look for other autoimmune diseases and such age-related comorbidities as osteoporosis, arterial hypertension, ischemic heart disease and cerebrovascular disease.