Association between chronic conditions, multimorbidity, and dependence levels in Chinese community-dwelling older adults with functional dependence: a cross-sectional study in south-central China.

Background: The rising prevalence of multimorbidity and functional dependence in community-dwelling older adults contribute to the demand for home care services. Evidence on how chronic conditions, especially multimorbidity, affect dependence levels among older adults with functional dependence in a socio-cultural context is much needed to inform policy, workforce, aged care service development to meet the care needs of this population. Objectives: This study aimed to determine the association between chronic conditions, multimorbidity and dependence levels among Chinese community-dwelling older adults with functional dependence. Methods: A cross-sectional study was conducted with 1,235 community-dwelling older adults with functional dependence in Hunan province, China, from June to October 2018. Data on socio-demographic factors, cognitive function, vision and hearing conditions, activities of daily living (ADLs), and health conditions were collected, and binary logistic regression analyses were used to determine the association between chronic conditions, multimorbidity and dependence levels, with adjustments for relevant covariates. Results: Among the participants, 62.9% had multimorbidity. Parkinson's disease, stroke, COPD, hypertension, mood and psychotic disorders (Anx/Sch/Dep) were significantly associated with high levels of functional dependence. After adjusting for demographic variables, cognitive function, vision, and hearing conditions, we observed a significant relationship between multimorbidity and higher functional dependence, but this association became insignificant when including certain chronic diseases closely associated with high-level dependence. Study revealed that Parkinson's disease and stroke notably increase dependency risk across seven ADL domains, demonstrating their extensive impact on daily functioning. Conclusion: The prevalence of multimorbidity among Chinese community-dwelling older adults with functional dependence is very high. The association of multimorbidity with functional dependence is mediated by specific chronic conditions. These findings highlight the necessity of adopting an integrated care model that combines medical and social care, with a particular emphasis on managing multimorbidity and critical chronic conditions that lead to severe functional dependence to preventing and diminish the onset of disabilities.

Multidose Drug Dispensing in Community Healthcare Settings for Patients With Multimorbidity and Polypharmacy.

Multidose drug dispensing (MDD) is the dispensing of different drugs in dose bags containing one, some, or all units of medicine that a patient needs to take at specific times. The aim of this narrative review is to provide an overview of the literature describing the use of MDD systems in community healthcare settings in patients with multimorbidity and polypharmacy. A literature search identified 14 studies examining adherence, medication knowledge, quality of drug prescription (including inappropriate drug use, drug-drug interactions), medication incidents, and drug changes after MDD initiation, as well as healthcare professional (HCP) and patient perspectives. There are limited data on MDD in community healthcare settings, particularly on outcomes such as adherence. Studies are mostly from Northern Europe. Patients selected for MDD are more likely to be older, female, cognitively impaired, and have a higher number of disease diagnoses and drugs than those who do not receive drugs through MDD. MDD is generally initiated for patients who have decreased capacity for medication management. Several advantages of MDD have been reported by patients and HCPs, and studies indicate that MDD can be improved by medication review, defining clear roles and responsibilities of HCPs in the medication management chain, and comprehensive follow-up of patients. Future development, implementation, and assessment of MDD systems in community healthcare should be designed in collaboration with HCPs and patients, to identify ways to optimize the systems and improve patient outcomes.

The Mediating Role of Depressive Symptoms and Treatment Burden on Health-Related Quality of Life Among Multimorbid Patients With Hypertension: A Multi-Group Analysis.

Multimorbidity negatively affects health-related quality of life (HRQoL), though the underlying mechanism remained unclear. This study aims to investigate the mediating role of depressive symptoms and multimorbidity treatment burden (MTB) in the association between disease burden and HRQoL in multimorbid patients with hypertension and to determine differences in mediating effects between and within age groups (< 60 years vs. 60 and above). Disease burden, depressive symptoms, MTB, and HRQoL were assessed by self-reported questionnaires. We conducted path analysis with all subjects and multi-group path analyses with two age groups. Results from the path analysis with all subjects (n = 498) showed a significant direct effect of disease burden on HRQoL and a significant indirect effect via depressive symptoms and MTB. No significant differences in mediating effects were found between age groups. However, in the older patients, depressive symptoms had a greater indirect effect than MTB. Our results underscore the importance of addressing both depressive symptoms and MTB in interventions tailored to the patient's age.

Systematic screening for multimorbidities in patients with inflammatory rheumatic diseases enhanced preventive medication use and reduced hospitalisations: an exposed-non-exposed study.

RATIONAL: Studies are needed to determine if multimorbidity screening and management reduce the rate of multimorbidity accumulation in patients with chronic inflammatory rheumatic diseases (IRD). OBJECTIVES: This study evaluates the impact of systematic screening programme on patient care and hospitalisation rates. METHODS: Patients with IRD who participated in the screening programme (exposed patients) were identified within the French national health database and matched with controls. Two sets of analysis were performed: one with multivariate analysis and a second using a propensity score matching to ensure comparability between exposed patients and controls. The primary endpoint (PE) was a composite score assessing the dispensation of multimorbidity-preventing drugs, including vaccines, lipid-lowering agents, antiosteoporotic medications and antiplatelet drugs, during the year following the index date. RESULTS: The first analysis included 286 exposed patients and 858 controls, demonstrating a higher rate of meeting the PE in exposed patients (adjusted OR=1.6 (1.2-2.2), p<0.01). Propensity score matching resulted in 281 exposed patients and 281 controls. Exposed patients exhibited a significantly higher rate of meeting the PE compared with controls (54.8% vs 44.5%; OR=1.5; p=0.015), with increased utilisation of vaccines, cholesterol-lowering drugs and antiosteoporotic medications. Furthermore, emergency admission and hospitalisations for fracture, cardiovascular events or infection were significantly less frequent in the exposed group (7.1% vs 15.3%; OR=0.42, p<0.01), with a reduction in severe infections (0.7% vs 3.9%; p=0.03). CONCLUSION: Systematic multimorbidity screening in patients with IRD boosted preventive medication use and reduced hospital admissions, justifying time and resource allocation for screening.

Multimorbidity and the risk of malnutrition, frailty and sarcopenia in adults with cancer in the UK Biobank.

BACKGROUND: Malnutrition, sarcopenia and frailty are distinct, albeit interrelated, conditions associated with adverse outcomes in adults with cancer, but whether they relate to multimorbidity, which affects up to 90% of people with cancer, is unknown. This study investigated the relationship between multimorbidity with malnutrition, sarcopenia and frailty in adults with cancer from the UK Biobank. METHODS: This was a cross-sectional study including 4122 adults with cancer (mean [SD] age 59.8 [7.1] years, 50.7% female). Malnutrition was determined using the Global Leadership Initiative on Malnutrition criteria. Probable sarcopenia and sarcopenia were defined using the European Working Group on Sarcopenia in Older People 2 criteria. (Pre-)frailty was determined using the Fried frailty criteria. Multimorbidity was defined as ≥2 long-term conditions with and without the cancer diagnosis included. Logistic regression models were fitted to estimate the odds ratios (ORs) of malnutrition, sarcopenia and frailty according to the presence of multimorbidity. RESULTS: Genitourinary (28.9%) and breast (26.1%) cancers were the most common cancer diagnoses. The prevalence of malnutrition, (probable-)sarcopenia and (pre-)frailty was 11.1%, 6.9% and 51.2%, respectively. Of the 11.1% of participants with malnutrition, the majority (9%) also had (pre-)frailty, and 1.1% also had (probable-)sarcopenia. Of the 51.2% of participants with (pre-)frailty, 6.8% also had (probable-)sarcopenia. No participants had (probable-)sarcopenia alone, and 1.1% had malnutrition, (probable-)sarcopenia plus (pre-)frailty. In total, 33% and 65% of participants had multimorbidity, including and excluding the cancer diagnosis, respectively. The most common long-term conditions, excluding the cancer diagnosis, were hypertension (32.5%), painful conditions such as osteoarthritis or sciatica (17.6%) and asthma (10.4%). Overall, 80% of malnourished, 74% of (probable-)sarcopenia and 71.5% of (pre-)frail participants had multimorbidity. Participants with multimorbidity, including the cancer diagnosis, had higher odds of malnutrition (OR 1.72 [95% confidence interval, CI, 1.31-2.30; P < 0.0005]) and (pre-)frailty (OR 1.43 [95% CI 1.24-1.68; P < 0.0005]). The odds increased further in people with ≥2 long-term conditions in addition to their cancer diagnosis (malnutrition, OR 2.41 [95% CI 1.85-3.14; P < 0.0005]; (pre-)frailty, OR 2.03 [95% CI 1.73-2.38; P < 0.0005]). There was little evidence of an association of multimorbidity with sarcopenia. CONCLUSIONS: In adults with cancer, multimorbidity was associated with increased odds of having malnutrition and (pre-)frailty but not (probable-)sarcopenia. This highlights that multimorbidity should be considered a risk factor for these conditions and evaluated during nutrition and functional screening and assessment to support risk stratification within clinical practice.

Representation of multimorbidity and frailty in the development and validation of kidney failure prognostic prediction models: a systematic review.

BACKGROUND: Prognostic models that identify individuals with chronic kidney disease (CKD) at greatest risk of developing kidney failure help clinicians to make decisions and deliver precision medicine. It is recognised that people with CKD usually have multiple long-term health conditions (multimorbidity) and often experience frailty. We undertook a systematic review to evaluate the representation and consideration of multimorbidity and frailty within CKD cohorts used to develop and/or validate prognostic models assessing the risk of kidney failure. METHODS: We identified studies that described derivation, validation or update of kidney failure prognostic models in MEDLINE, CINAHL Plus and the Cochrane Library-CENTRAL. The primary outcome was representation of multimorbidity or frailty. The secondary outcome was predictive accuracy of identified models in relation to presence of multimorbidity or frailty. RESULTS: Ninety-seven studies reporting 121 different kidney failure prognostic models were identified. Two studies reported prevalence of multimorbidity and a single study reported prevalence of frailty. The rates of specific comorbidities were reported in a greater proportion of studies: 67.0% reported baseline data on diabetes, 54.6% reported hypertension and 39.2% reported cardiovascular disease. No studies included frailty in model development, and only one study considered multimorbidity as a predictor variable. No studies assessed model performance in populations in relation to multimorbidity. A single study assessed associations between frailty and the risks of kidney failure and death. CONCLUSIONS: There is a paucity of kidney failure risk prediction models that consider the impact of multimorbidity and/or frailty, resulting in a lack of clear evidence-based practice for multimorbid or frail individuals. These knowledge gaps should be explored to help clinicians know whether these models can be used for CKD patients who experience multimorbidity and/or frailty. SYSTEMATIC REVIEW REGISTRATION: This review has been registered on PROSPERO (CRD42022347295).

Pregnancy loss and risk of cardiometabolic multimorbidity in Chinese women: the China Kadoorie Biobank study.

BACKGROUND: While the association between pregnancy loss and individual cardiometabolic diseases (CMDs) is well-established, its impact on the risk of coexisting CMDs remains unclear. Therefore, the aim of this study is to investigate the association between pregnancy loss with the risk of cardiometabolic multimorbidity in Chinese women. METHOD: We analyzed the cross-sectional data of 299,582 female participants aged 30-79 years old from the China Kadoorie biobank. Cardiometabolic multimorbidity was defined as the coexistence of two or more CMDs, including coronary heart disease, stroke, hypertension, and diabetes. Multivariable logistic regression was used to evaluate the odds ratios (ORs) between the number and type of pregnancy loss with the risk of cardiometabolic multimorbidity, characterized by the number and type of CMD. RESULTS: After adjusting for confounding factors, pregnancy loss was found to be significantly associated with increased cardiometabolic multimorbidity risk (OR, 1.13 95% CI 1.08-1.19). Specifically, pregnancy loss due to spontaneous and induced abortion (OR 1.10, 95% CI 1.03-1.18 and OR 1.13, 95% CI 1.08-1.19, respectively). In contrast, no significant association was found between stillbirth and cardiometabolic multimorbidity (OR 1.03, 95% CI 0.95-1.11). The risk of cardiometabolic multimorbidity increases as the number of pregnancy loss increases (one pregnancy loss: OR 1.10, 95% CI 1.05-1.16, two or more pregnancy loss: OR 1.16, 95% CI 1.10-1.22). Similarly, the diagnosis of multiple CMDs increases with increasing number of pregnancy loss. Pregnancy loss was related to higher risk of cardiometabolic multimorbidity across most CMD combinations of CMDs. CONCLUSION: Pregnancy loss, in particular, spontaneous and induced abortion was significantly associated with greater risk of cardiometabolic multimorbidity. The associations were stronger among those with recurrent pregnancy loss.

Estimating the prevalence of select non-communicable diseases in Saudi Arabia using a population-based sample: econometric analysis with natural language processing.

BACKGROUND: Non-communicable diseases (NCDs) are a major public health challenge globally, including in Saudi Arabia. However, measuring the true extent of NCD prevalence has been hampered by a paucity of nationally representative epidemiological studies. OBJECTIVES: Assess the prevalence of selected NCDs, using population-based electronic health records and applying novel analytical methods to identify cases of NCDs. DESIGN: Retrospective. SETTINGS: A large healthcare network in Saudi Arabia. PATIENTS AND METHODS: We included all beneficiaries aged 16 years or older (n=650 835[a]) and used the International Classification of Disease (ICD-10) codes, laboratory results, and associated medications to identify individuals with diabetes, obesity, hypertension, dyslipidemia, mental disorders, and injuries. For diabetes and hypertension, we used natural language processing (NLP) on clinical notes in the electronic health records. The prevalence of multimorbidity across age groups was also tabulated, and logistic regression was used to examine its association with glycemic control. MAIN OUTCOME MEASURES: The primary outcomes measured were the prevalence of diabetes, hypertension, and multimorbidity, and their association with glycemic control. SAMPLE SIZE: 650 835 individuals aged 16 years or older. RESULTS: The study population was relatively young, with 41.2% aged between 26 and 45 years, and around two-thirds were married. The prevalence of diabetes and hypertension was 18.5% (95% CI: 18.5-18.7) and 13.0% (95% CI: 12.9-13.1), respectively. Approximately 26.7% (95% CI: 26.7-26.8) of the population had multimorbidity, with levels increasing to 62.9% for those aged 65 or older. Multimorbidity was associated with a four-fold increase in the likelihood of poor glycemic control. NLP analysis suggested that the prevalence of diabetes or hypertension may be underestimated by no more than 1.5%. CONCLUSIONS: The study suggests a higher prevalence of NCDs than earlier national estimates. Electronic health records with regular analysis provide an opportunity to estimate changes in the prevalence of NCDs in Saudi Arabia. Health policies and interventions are needed to address the high levels of multimorbidity, which adversely impact glycemic control. LIMITATIONS: Retrospective design and reliance on electronic health records, which may not capture all cases of NCDs.

Chronic condition change and its longitudinal association with health care utilization among rural older adults: intergenerational financial support as a possible moderator?

BACKGROUND: The prevalence of chronic conditions increases rapidly among older population. However, it is unclear how different chronic conditions progression contributes to the health care utilization, and whether intergenerational support modified this relationship. This study aimed to explore the longitudinal link between chronic condition progression and health care utilization, and examine whether intergenerational financial support is a moderator in this relationship among Chinese rural older people. METHODS: Data was derived from the Shandong Rural Elderly Health Cohort (SREHC), which was conducted from 2019 to 2020. A total of 2,785 participants were included in this study. Kruskal-Wallis rank tests and generalized estimating equation (GEE) models were employed to analyze the association between chronic condition progression and health care utilization. Moderating effect analysis was performed using GEE model and margins plot. RESULTS: Older people with progressive chronic conditions used more outpatient (no chronic condition to emerging multimorbidity: OR = 1.83; p = 0.028; one chronic condition to emerging multimorbidity: OR = 2.17; p < 0.001; remained multimorbidity while chronic conditions increased: OR = 3.26; p < 0.001) and inpatient services (no chronic condition to emerging multimorbidity: OR = 2.76; p < 0.001; one chronic condition to emerging multimorbidity: OR = 3.40; p < 0.001; remained multimorbidity while chronic conditions increased: OR = 5.32; p < 0.001) than those remained no chronic conditions. Intergenerational financial support may alleviate outpatient utilization of older people with multimorbidity (remained multimorbidity × intergenerational financial support: OR = 0.40; p = 0.013; remained multimorbidity while chronic conditions increased × intergenerational financial support: OR = 0.35; p = 0.019). CONCLUSION: This study showed that the changes of chronic condition were associated with health care utilization, and intergenerational financial support moderated this relationship. It is vital to continuously monitor and timely intervene the chronic condition progression among rural older people.

Preparing for responsive management versus preparing for renal dialysis in multimorbid older people with advanced chronic kidney disease (Prepare for Kidney Care): Study protocol for a randomised controlled trial.

BACKGROUND: Chronic kidney disease (CKD) prevalence is steadily increasing, in part due to increased multimorbidity in our aging global population. When progression to kidney failure cannot be avoided, people need unbiased information to inform decisions about whether to start dialysis, if or when indicated, or continue with holistic person-centred care without dialysis (conservative kidney management). Comparisons suggest that while there may be some survival benefit from dialysis over conservative kidney management, in people aged 80 years and over, or with multiple health problems or frailty, this may be at the expense of quality of life, hospitalisations, symptom burden and preferred place of death. Prepare for Kidney Care aims to compare preparation for a renal dialysis pathway with preparation for a conservative kidney management pathway, in relation to quantity and quality of life in multimorbid, frail, older people with advanced CKD. METHODS: This is a two-arm, superiority, parallel group, non-blinded, individual-level, multi-centre, pragmatic trial, set in United Kingdom National Health Service (NHS) kidney units. Patients with advanced CKD (estimated glomerular filtration rate < 15 mL/min/1.73 m2, not due to acute kidney injury) who are (a) 80 years of age and over regardless of frailty or multimorbidity, or (b) 65-79 years of age if they are frail or multimorbid, are randomised 1:1 to 'prepare for responsive management', a protocolised form of conservative kidney management, or 'prepare for renal dialysis'. An integrated QuinteT Recruitment Intervention is included. The primary outcome is mean total number of quality-adjusted life years during an average follow-up of 3 years. The primary analysis is a modified intention-to-treat including all participants contributing at least one quality of life measurement. Secondary outcomes include survival, patient-reported outcomes, physical functioning, relative/carer reported outcomes and qualitative assessments of treatment arm acceptability. Cost-effectiveness is estimated from (i) NHS and personal social services and (ii) societal perspectives. DISCUSSION: This randomised study is designed to provide high-quality evidence for frail, multimorbid, older patients with advanced CKD choosing between preparing for dialysis or conservative kidney management, and healthcare professionals and policy makers planning the related services. TRIAL REGISTRATION: ISRCTN, ISRCTN17133653 ( https://doi.org/10.1186/ISRCTN17133653 ). Registered 31 May 2017.

The Association Between Inflammatory Dietary Pattern and Risk of Cognitive Impairment Among Older Adults with Chronic Diseases and Its Multimorbidity: A Cross-Sectional Study.

Background: The present study aimed to explore the association between the inflammatory potential of diet, assessed by energy-adjusted dietary inflammatory index (E-DII) and reduced rank regression (RRR)-derived inflammatory dietary pattern, and the risk for cognitive impairment (CI) in community-dwelling older adults, especially in older adults with chronic diseases and multimorbidity. Methods: A total of 549 older adults from Taiyuan city were included in the present cross-sectional study. The Chinese Version of the Mini-Mental State Examination (CMMSE) was used for the evaluation of cognitive function. E-DII score was calculated based on semi-quantitative food frequency questionnaire (FFQ). Blood samples, including interleukin (IL)-1ß, interleukin (IL)-18, tumor necrosis factor-α (TNF-α) and C-reactive protein (CRP), were tested for calculating RRR-derived inflammatory dietary pattern. Logistic regression was used to assess the association between inflammatory dietary pattern and risk of CI. In addition, patients with diabetes, hypertension, hyperlipidemia and multimorbidity were screened for further analysis among 549 older adults. Results: In those 549 older adults, adjusting for demographic characteristics and chronic disease status, there was no association between E-DII score tertile (OR T3VST1 : 1.357, 95%CI:0.813~2.265, P trend = 0.267), RRR-derived inflammatory dietary pattern score tertile (OR T3VST1 : 1.092, 95%CI:0.679~ 1.758, P trend = 0.737) and risk of CI. However, in older adults with diabetes and multimorbidity, the score tertile of E-DII and RRR-derived inflammatory dietary pattern were positively correlated with risk of CI in a dose-responsive manner (All P trend < 0.05). There is insufficient evidence to reach similar conclusion in patients with hypertension and hyperlipidemia (All P trend > 0.05). Conclusion: In the present study, pro-inflammatory diet contributed to the increased risk of CI in older adults with diabetes and multimorbidity. These results supplemented vital evidence for the prevention and treatment of CI in older adults with chronic diseases.

The relationship between multimorbidity and cognitive function in older Chinese adults: based on propensity score matching.

Objective: The goal of this study was to further validate the effect of multimorbidity on cognitive performance in older adults after controlling for confounders using propensity score matching (PSM). Methods: A cross-sectional survey of older adult people aged 60 years or older selected by convenience sampling was conducted in seven medical institutions, three communities, and five nursing homes in Zunyi City, Guizhou Province. The data collected included general information, health-related information, and Mini-Mental State Examination (MMSE) scores. Variables were controlled for confounders by PSM to analyze differences in cognitive ability between multimorbidity and nonmultimorbidity older adults. Logistic regression and multivariate-adjusted restricted cubic spline (RCS) curves for matched samples were used to assess the relationship between multimorbidity and cognitive decline. Results: A total of 14,175 respondents were enrolled, and the mean age of the participants included in this study was 71.26 ± 7.1 years, including 7,170 (50. 58%) of the participants were males, 7,005 (49.42%) were females, and 5,482 participants (38.67%) were screened for cognitive decline. After PSM, logistic regression analysis revealed that multimorbidity was a risk factor for cognitive decline (OR = 1.392, 95% CI = 1.271-1.525, p < 0.001). The RCS show that the risk of cognitive decline is always greater in older adults with multimorbidity than in older adults without multimorbidity at the same age. Age, sex, marital status, educational level, monthly income, drinking status, participation in social activities, and exercise were influential factors for cognitive decline in older adults (p < 0.05). The incidence of cognitive decline in older adults with multimorbidity was also greater than that in older adults with one chronic disease (p < 0.001). Conclusion: The risk of cognitive decline in older adults with multimorbidity is greater than that in older adults without multimorbidity; therefore, the government should strengthen the prevention and treatment of multimorbidity in older adults to further protect their cognitive abilities.

Treatment burden in multimorbidity: an integrative review.

BACKGROUND: People living with multimorbidity experience increased treatment burden, which can result in poor health outcomes. Despite previous efforts to grasp the concept of treatment burden, the treatment burden of people living with multimorbidity has not been thoroughly explored, which may limit our understanding of treatment burden in this population. This study aimed to identify the components, contributing factors, and health outcomes of treatment burden in people with multiple diseases to develop an integrated map of treatment burden experienced by people living with multimorbidity. The second aim of this study is to identify the treatment burden instruments used to evaluate people living with multimorbidity and assess the comprehensiveness of the instruments. METHODS: This integrative review was conducted using the electronic databases MEDLINE, EMBASE, CINAHL, and reference lists of articles through May 2023. All empirical studies published in English were included if they explored treatment burden among adult people living with multimorbidity. Data extraction using a predetermined template was performed. RESULTS: Thirty studies were included in this review. Treatment burden consisted of four healthcare tasks and the social, emotional, and financial impacts that these tasks imposed on people living with multimorbidity. The context of multimorbidity, individual's circumstances, and how available internal and external resources affected treatment burden. We explored that an increase in treatment burden resulted in non-adherence to treatment, disease progression, poor health status and quality of life, and caregiver burden. Three instruments were used to measure treatment burden in living with multimorbidity. The levels of comprehensiveness of the instruments regarding healthcare tasks and impacts varied. However, none of the items addressed the healthcare task of ongoing prioritization of the tasks. CONCLUSIONS: We developed an integrated map illustrating the relationships between treatment burden, the context of multimorbidity, people's resources, and the health outcomes. None of the existing measures included an item asking about the ongoing process of setting priorities among the various healthcare tasks, which highlights the need for improved measures. Our findings provide a deeper understanding of treatment burden in multimorbidity, but more research for refinement is needed. Future studies are also needed to develop strategies to comprehensively capture both the healthcare tasks and impacts for people living with multimorbidity and to decrease treatment burden using a holistic approach to improve relevant outcomes. TRIAL REGISTRATION: DOI: https://doi.org/10.17605/OSF.IO/UF46V.

Social Risks and Health Care Use in Medically Complex Patients.

Importance: Integrated health care systems have initiated major investments to identify and address social risks, particularly for patients with multiple medical conditions. Objective: To evaluate the association of social risks with health care use among patients with complex multimorbidity. Design, Setting, and Participants: This longitudinal cohort study assessed Kaiser Permanente Northern California (KPNC) patients with (1) moderate medical complexity (defined by high comorbidity score, high risk of hospitalization, and/or prior emergency department [ED] admissions) and (2) high medical complexity (eg, meeting additional criteria, such as ≥7 medications and laboratory evidence of poor disease control). Exposure: Social risks (eg, requiring medical financial assistance and self-reported social barriers to care). Main Outcomes and Measures: Inpatient and outpatient health care use during 12 months of follow-up (January 15, 2023, to January 14, 2024). Results: The sample included 97 252 KPNC patients (mean [SD] age, 69.5 [16] years; 52.1% female; 10.6% Asian, 11.1% Black, 18.3% Hispanic, 54.6% White, and 5.5% other race or ethnicity [eg, American Indian or Alaskan Native, Native Hawaiian or Pacific Islander, multiracial, or unknown race]; and 8.8% insured by Medicaid), including 27 827 with moderate medical complexity (5074 [18.2%] with social risks) and 69 425 with high medical complexity (17 343 [25.0%] with social risks). In fully adjusted models, for moderate medical complexity, social risks were associated with higher odds of inpatient admissions (odds ratio [OR], 1.2; 95% CI, 1.1-1.4), ED visits (OR, 1.2; 95% CI, 1.1-1.3), and mental health visits (OR, 1.2; 95% CI, 1.1-1.3) vs individuals without social risks. Among individuals with high medical complexity, social risks were associated with higher odds of inpatient admissions (OR, 1.2; 95% CI, 1.1-1.2), ED visits (OR, 1.2; 95% CI, 1.1-1.2), and 30-day readmissions (OR, 1.2; 95% CI, 1.1-1.3) and higher odds of mental health visits (OR, 1.3; 95% CI, 1.2-1.3) vs individuals without social risks. Conclusions and relevance: In this cohort study of individuals with medical complexity, coexisting social risks were associated with substantial downstream health care use. Efforts to reduce use in individuals with complex medical comorbidity could include concurrent efforts to identify and reduce social risks.

Impact of Adverse Health Conditions on Clinical Outcomes of Older People with Atrial Fibrillation: Insights from a Prospective Cohort Study.

Objective: To evaluate the impact of adverse health conditions, including multimorbidity, frailty, malnutrition, cognitive impairment, and polypharmacy, on clinical outcomes in older people with atrial fibrillation (AF). Patients and Methods: This prospective cohort study focused on patients aged 65 years and older with AF. They were admitted to the hospital between September 2018 and April 2019 and followed up for 1 year. We evaluated these participants for adverse health conditions including multimorbidity, frailty, malnutrition, cognitive impairment, and polypharmacy. The primary clinical outcome measured was a combination of all-cause mortality or rehospitalization. Results: 197 older patients (≥65 years) with AF (mean age, 77.5±7.1 years; 57.4% men) were enrolled. During 1-year follow-up, Primary endpoint events (all-cause mortality or rehospitalization) occurred in 82 patients (41.6%). Compared with the non-event group, the Charlson comorbidity index (CCI) was higher (2.5±1.9 vs 1.7±1.3, p=0.004), more heart failure (32.9% vs 17.4%, p=0.01) and chronic kidney disease (17.1% vs 7.0%, p=0.03), with lower systolic blood pressure (125.3±18.3 mmHg vs 132±17.9 mmHg, p=0.005) in the event group. On multivariate Cox regression showed that the CCI was associated with a higher odds ratio of the composite outcome of all-cause mortality and rehospitalization (HR: 1.26; 95% CI: 1.02-1.56, p=0.03). Other adverse health conditions showed no significant association with the composite outcome of all-cause mortality and rehospitalization. Conclusion: Among adverse health conditions in older people with AF, multimorbidity appears to be a significant determinant of adverse clinical outcomes. Clinical Trial Registration: ChiCTR1800017204; date of registration: 07/18/2018.

Safety and Effectiveness of Percutaneous Endoscopic Gastrostomy May Be Improved by Proper Pre- and Post-Positioning Management of Elderly Patients with Multimorbidity.

INTRODUCTION: The main risk factors for major complications and early mortality after the positioning of percutaneous endoscopic gastrostomy (PEG) reported in the literature are old age, multimorbidity, and the use of inappropriate methods for PEG positioning. A proper PEG positioning technique and adequate post-positioning patient management and surveillance are the main protective factors, but the information on protective factors in the literature is much poorer. The aim of this study was to provide more information on PEG-related complications and mortality in geriatric patients treated with long-term enteral nutrition administered by PEG according to a specific home enteral nutrition (HEN) protocol. METHODS: This was a retrospective study based on data from 136 elderly patients in whom PEG was positioned from 2017 to 2023 at the geriatric hospital IRCCS INRCA, Ancona (Italy), 88 of whom were treated with HEN. Data on PEG-related complications, duration of HEN, hospitalizations, and mortality were analyzed. RESULTS: No complications were registered during or immediately after the PEG positioning. The prevalence of a major complication-buried bumper-was in the lower limit of the range reported in the literature (4.32%). The prevalence of minor complications such as peristomal leakage, inadvertent tube removal, and granulation tissue was higher than that reported in the literature (14.71%, 23.53%, 29.41%), while tube blockage and peristomal site infection were less frequent (8.82%, 38.23%). Three hospitalizations for PEG-related complications occurred. Both the all-cause 30-day mortality and within-two-months mortality were lower than those in the literature (1.92% and 3.84%). CONCLUSIONS: The impact of the risk factors recognized by the literature on complications and mortality could be probably mitigated by improving the PEG placement techniques and pre- and post-PEG placement patient management practices. Data on the prevalence of complications and mortality must be interpreted in correlation to this information.

Association between Dietary Patterns and Cardiometabolic Multimorbidity among Chinese Rural Older Adults.

BACKGROUND: The global population is aging rapidly, leading to an increase in the prevalence of cardiometabolic multimorbidity (CMM). This study aims to investigate the association between dietary patterns and CMM among Chinese rural older adults. METHODS: The sample was selected using a multi-stage cluster random sampling method and a total of 3331 rural older adults were ultimately included. Multivariate logistic regression analysis was used to examine the association between the latent dietary patterns and CMM. RESULTS: The prevalence of CMM among rural older adults was 44.64%. This study identified four potential categories: "Low Consumption of All Foods Dietary Pattern (C1)", "High Dairy, Egg, and Red Meat Consumption, Low Vegetable and High-Salt Consumption Dietary Pattern (C2)", "High Egg, Vegetable, and Grain Consumption, Low Dairy and White Meat Consumption Dietary Pattern (C3)" and "High Meat and Fish Consumption, Low Dairy and High-Salt Consumption Dietary Pattern (C4)". Individuals with a C3 dietary pattern (OR, 0.80; 95% CI, 0.66-0.98; p = 0.028) and a C4 dietary pattern (OR, 0.70; 95% CI, 0.51-0.97; p = 0.034) significantly reduced the prevalence of CMM compared with the C1 dietary pattern. CONCLUSIONS: Rural older adults have diverse dietary patterns, and healthy dietary patterns may reduce the risk of CMM.

Resilience among older adults with multimorbidity using the Connor-Davidson scale in the Canadian Longitudinal Study on Aging: health behaviour, socio-economic, and social support predictors.

OBJECTIVE: Multimorbidity is recognized as a serious health condition faced by a majority of older adults. Research investigating adaptive responses to multimorbidity, termed multimorbidity resilience, has been growing. This paper examines protective and risk factors, with a focus on health behaviours, socio-economic resources, and social support using an established measure of resilience (Connor-Davidson Resilience Scale) among older adults, focusing on older persons with two or more concurrent chronic conditions. METHODS: Using Baseline (2011-2015), Follow-up One (2015-2018), and Follow-up Two (2018-2021) data from the Comprehensive Cohort of the Canadian Longitudinal Study on Aging, we tested hypotheses using 13,064 participants aged 65 years and older, who completed all waves and reported two or more of 27 chronic conditions, for the full sample of multimorbid individuals and three multimorbidity clusters: Cardiovascular/Metabolic, Musculoskeletal, and Mental Health. Associations between protective and risk factors and resilience were examined using linear regression to model the Connor-Davidson resilience scale, adjusting for illness context and social determinants of health. RESULTS: Among all multimorbid individuals, the strongest associations with resilience were found for higher self-rated health, greater sleep satisfaction, better appetite, higher household income, more relatives and friends, being overweight (compared to normal weight), fewer housing problems, and fewer skipped meals. Weaker associations were found for non-smokers, less alcohol consumption, less pain, sedentary behaviour, being non-married (compared to married), and among Canadian born (compared to foreign). The analyses for the three multimorbidity clusters were largely replicated for the three multimorbidity clusters, but with some nuances depending on the cluster. DISCUSSION: This research provides confirmatory evidence for several protective and risk factors affecting the ability to cope and recover from multimorbidity adversity among older adults. There are consistent patterns for the multimorbidity disease clusters, but some distinct relationships arise that are worthy of attention. The implications of the findings for modifiable health behaviours and socio-economic factors are discussed for their public health and clinical relevance.

Comparison of obesity indicators for predicting cardiovascular risk factors and multimorbidity among the Chinese population based on ROC analysis.

To date, the best obesity-related indicators (ORIs) for predicting hypertension, dyslipidaemia, Type 2 diabetes mellitus (T2DM) and multimorbidity are still controversial. This study assessed the ability of 17 ORIs [body mass index (BMI), body fat percentage (BF%), c-index, Clínica Universidad de Navarra-Body Adiposity Estimator (CUN-BAE), a body shape index (ABSI), body adiposity index (BAI), waist circumference (WC), waist-hip ratio (WHR), waist-to-height ratio (WHtR), body roundness index (BRI), abdominal volume index (AVI), triglyceride glucose index (TYG), lipid accumulation product (LAP), visceral adiposity index (VAI), Chinese visceral adiposity index (CVAI), waist triglyceride index (WTI) and cardiometabolic index (CMI)] to predict hypertension, dyslipidemia, T2DM, and multimorbidity in populations aged 40-69 years. From November 2017 to December 2022, 10,432 compliant residents participated in this study. Receiver operating characteristic curves were used to assess the ability of ORIs to predict target diseases across the whole population and genders. The DeLong test was used to analyse the heterogeneity of area under curves (AUCs). Multivariable logistic regression was used to analyse the association of ORIs with hypertension, dyslipidaemia, T2DM, and multimorbidity. The prevalence of hypertension, dyslipidaemia, T2DM, and multimorbidity was 67.46%, 39.36%, 12.54% and 63.58%, respectively. After excluding ORIs associated with the target disease components, in the whole population, CVAI (AUC = 0.656), BMI (AUC = 0.655, not significantly different from WC and AVI), CVAI (AUC = 0.645, not significantly different from LAP, CMI, WHR, and WTI), and TYG (AUC = 0.740) were the best predictor of hypertension, dyslipidemia, T2DM, and multimorbidity, respectively (all P < 0.05). In the male population, BF% (AUC = 0.677), BMI (AUC = 0.698), CMI (AUC = 0.648, not significantly different from LAP and CVAI), and TYG (AUC = 0.741) were the best predictors (all P < 0.05). In the female population, CVAI (AUC = 0.677), CUN-BAE (AUC = 0.623, not significantly different from BF%, WC, WHR, WHtR, BRI and BMI), CVAI (AUC = 0.657, not significantly different from WHR), TYG (AUC = 0.740) were the best predictors (all P < 0.05). After adjusting for all covariates, all ORIs were significantly associated with hypertension, dyslipidaemia, T2DM, and multimorbidity (all P < 0.05), except for ABSI and hypertension and BAI and T2DM, which were insignificant. Ultimately, after considering the heterogeneity of prediction of ORIs among different populations, for hypertension, BF% was the best indicator for men and CVAI for the rest of the population. The best predictors of dyslipidaemia, T2DM, and multimorbidity were BMI, CVAI and TYG, respectively. Screening for common chronic diseases in combination with these factors may help to improve the effectiveness.

Association between polypharmacy and 2-year outcomes among Chinese older inpatients: a multi-center cohort study.

BACKGROUND: The escalating global prevalence of polypharmacy presents a growing challenge to public health. In light of this issue, the primary objective of our study was to investigate the status of polypharmacy and its association with clinical outcomes in a large sample of hospitalized older patients aged 65 years and over. METHODS: A two-year prospective cohort study was carried out at six tertiary-level hospitals in China. Polypharmacy was defined as the prescription of 5 or more different medications daily, including over-the-counter and non-prescription medications. Baseline polypharmacy, multimorbidity, and other variables were collected when at admission, and 2-year outcomes were recorded by telephone follow-up. We used multivariate logistic regression analysis to examine the associations between polypharmacy and 2-year outcomes. RESULTS: The overall response rate was 87.2% and 8713 participants were included in the final analysis. The mean age was 72.40 years (SD = 5.72), and women accounted for 42.2%. The prevalence of polypharmacy among older Chinese inpatients is 23.6%. After adjusting for age, sex, education, marriage status, body mass index, baseline frailty, handgrip strength, cognitive impairment, and the Charlson comorbidity index, polypharmacy is significantly associated with frailty aggravation (OR 1.432, 95% CI 1.258-1.631) and mortality (OR 1.365, 95% CI 1.174-1.592), while inversely associated with readmission (OR 0.870, 95% CI 0.764-0.989). Polypharmacy was associated with a 35.6% increase in the risk of falls (1.356, 95%CI 1.064-1.716). This association weakened after adjustment for multimorbidity to 27.3% (OR 1.273, 95%CI 0.992-1.622). CONCLUSIONS: Polypharmacy was prevalent among older inpatients and was a risk factor for 2-year frailty aggravation and mortality. These results highlight the importance of optimizing medication use in older adults to minimize the risks associated with polypharmacy. Further research and implementing strategies are warranted to enhance the quality of care and safety for older individuals exposed to polypharmacy. TRIAL REGISTRATION: Chinese Clinical Trial Registry, ChiCTR1800017682, registered 09/08/2018.