Background: With ageing world populations, multimorbidity (presence of two or more chronic diseases in the same individual) becomes a major concern in public health. Although multimorbidity is associated with age, its prevalence varies. This systematic review aimed to summarise and meta-analyse the prevalence of multimorbidity in high, low- and middle-income countries (HICs and LMICs). Methods: Studies were identified by searching electronic databases (Medline, Embase, PsycINFO, Global Health, Web of Science and Cochrane Library). The term ‘multimorbidity’ and its various spellings were used, alongside ‘prevalence’ or ‘epidemiology’. Quality assessment employed the Newcastle-Ottawa scale. Overall and stratified analyses according to multimorbidity operational definitions, HICs/LMICs status, gender and age were performed. A random-effects model for meta-analysis was used. Results: Seventy community-based studies (conducted in 18 HICs and 31 LMICs) were included in the final sample. Sample sizes ranged from 264 to 162,464. The overall pooled prevalence of multimorbidity was 33.1% (95% confidence interval (CI): 30.0–36.3%). There was a considerable difference in the pooled estimates between HICs and LMICs, with prevalence being 37.9% (95% CI: 32.5–43.4%) and 29.7% (26.4–33.0%), respectively. Heterogeneity across studies was high for both overall and stratified analyses ( I 2 > 99%). A sensitivity analysis showed that none of the reviewed studies skewed the overall pooled estimates. Conclusion: A large proportion of the global population, especially those aged 65+, is affected by multimorbidity. To allow accurate estimations of disease burden, and effective disease management and resources distribution, a standardised operationalisation of multimorbidity is needed.

It is shown for the first time that liquid crystal behavior can be induced through halogen bonding. Thus, mixing the nonmesomorphic components 4-alkoxystilbazole with pentafluoroiodobenzene leads to a 1:1 halogen-bonded complex whose integrity is shown by X-ray single-crystal analysis and which shows thermotropic smectic A and nematic phases.

No abstract

New liquid crystals are reported that are formed from non-mesomorphic components assembled using both halogen and hydrogen bonding.

No abstract

ObjectivesOur aim was to determine clusters of non-communicable diseases (NCDs) in a very large, population-based sample of middle-aged and older adults from low- and middle-income (LMICs) and high-income (HICs) regions. Additionally, we explored the associations with several covariates.DesignThe total sample was 72 140 people aged 50+ years from three population-based studies (English Longitudinal Study of Ageing, Survey of Health, Ageing and Retirement in Europe Study and Study on Global Ageing and Adult Health) included in the Ageing Trajectories of Health: Longitudinal Opportunities and Synergies (ATHLOS) project and representing eight regions with LMICs and HICs. Variables were previously harmonised using an ex-post strategy. Eight NCDs were used in latent class analysis. Multinomial models were made to calculate associations with covariates. All the analyses were stratified by age (50–64 and 65+ years old).ResultsThree clusters were identified: ‘cardio-metabolic’ (8.93% in participants aged 50–64 years and 27.22% in those aged 65+ years), ‘respiratory-mental-articular’ (3.91% and 5.27%) and ‘healthy’ (87.16% and 67.51%). In the younger group, Russia presented the highest prevalence of the ‘cardio-metabolic’ group (18.8%) and England the ‘respiratory-mental-articular’ (5.1%). In the older group, Russia had the highest proportion of both classes (48.3% and 9%). Both the younger and older African participants presented the highest proportion of the ‘healthy’ class. Older age, being woman, widowed and with low levels of education and income were related to an increased risk of multimorbidity. Physical activity was a protective factor in both age groups and smoking a risk factor for the ‘respiratory-mental-articular’.ConclusionMultimorbidity is common worldwide, especially in HICs and Russia. Health policies in each country addressing coordination and support are needed to face the complexity of a pattern of growing multimorbidity.

BACKGROUND: Integrating primary care has been proposed to reduce fragmented care delivery for patients with complex medical needs. Because of their high rates of morbidity, healthcare use, and mortality, patients with end-stage kidney disease (ESKD) may benefit from increased access to a primary care medical home. OBJECTIVE: To evaluate the effect of integrating a primary care medical home on health-related quality of life (HRQOL) for patients with ESKD receiving chronic hemodialysis. DESIGN: Before-after intervention trial with repeated measures at two Chicago dialysis centers. PARTICIPANTS: Patients receiving hemodialysis at either of the two centers. INTERVENTION: To the standard hemodialysis team (nephrologist, nurse, social worker, dietitian), we added a primary care physician, a pharmacist, a nurse coordinator, and a community health worker. The intervention took place from January 2015 through August 2016. MAIN MEASURES: Health-related quality of life, using the Kidney Disease Quality of Life (KDQOL) measures. KEY RESULTS: Of 247 eligible patients, 175 (71%) consented and participated; mean age was 54 years; 55% were men and 97% were African American or Hispanic. In regression analysis adjusted for individual visits with the medical home providers and other factors, there were significant improvements in four of five KDQOL domains: at 12 and 18 months, the Mental Component Score improved from baseline (adjusted mean 49.0) by 2.64 (p = 0.01) and 2.96 (p = 0.007) points, respectively. At 6 and 12 months, the Symptoms domain improved from baseline (adjusted mean = 77.0) by 2.61 (p = 0.02) and 2.35 points (p = 0.05) respectively. The Kidney Disease Effects domain improved from baseline (adjusted mean = 72.7), to 6, 12, and 18 months by 4.36 (p = 0.003), 6.95 (p < 0.0001), and 4.14 (p = 0.02) points respectively. The Physical Component Score improved at 6 months only. CONCLUSIONS: Integrating primary care and enhancing care coordination in two dialysis facilities was associated with improvements in HRQOL among patients with ESKD who required chronic hemodialysis.

Objective: We aimed to identify the patterns of multimorbidity in older adults and explored their association with sociodemographic and lifestyle risk factors. Method: The sample included 9,171 people aged 50+ from Wave 2 of the English Longitudinal Study of Aging (ELSA). Latent Class Analysis (LCA) was performed on 26 chronic diseases to determine clusters of common diseases within individuals and their association with sociodemographic and lifestyle risk factors. Result: Three latent classes were identified: (a) a cardiorespiratory/arthritis/cataracts class, (b) a metabolic class, and (c) a relatively healthy class. People aged 70 to 79 were 9.91 times (95% Confidence Interval [CI] = [5.13, 19.13]) more likely to be assigned to the cardiorespiratory/arthritis/cataracts class, while regular drinkers and physically inactive people were 0.33 times (95% CI = [0.24, 0.47]) less likely to be assigned to this class. Conclusion: Future research should investigate these patterns further to gain more insights into the needs of people with multimorbidity.