Disease Multimorbidity Research Articles

Unexpected lower level of oral periodontal pathogens in patients with high numbers of systemic diseases.

Periodontal disease is associated with systemic conditions such as diabetes, arthritis, and cardiovascular disease, all diseases with large inflammatory components. Some, but not all, reports show periopathogens Porphyromonas gingivialis and Tannerella forsythia at higher levels orally in people with one of these chronic diseases and in people with more severe cases. These oral pathogens are thought to be positively associated with systemic inflammatory diseases through induction of oral inflammation that works to distort systemic inflammation or by directly inducing inflammation at distal sites in the body. This study aimed to determine if, among patients with severe periodontal disease, those with multi-morbidity (or many chronic diseases) showed higher levels of periodontal pathogens. A total of 201 adult subjects, including 84 with severe periodontal disease were recruited between 1/2017 and 6/2019 at a city dental clinic. Electronic charts supplied self-reported diseases and conditions which informed a morbidity index based on the number of chronic diseases and conditions present. Salivary composition was determined by 16S rRNA gene sequencing. As expected, patients with severe periodontal disease showed higher levels of periodontal pathogens in their saliva. Also, those with severe periodontal disease showed higher levels of multiple chronic diseases (multimorbidity). An examination of the 84 patients with severe periodontal disease revealed some subjects despite being of advanced age were free or nearly free of systemic disease. Surprisingly, the salivary microbiota of the least healthy of these 84 subjects, defined here as those with maximal multimorbidity, showed significantly lower relative numbers of periodontal pathogens, including Porphyromonas gingivalis and Tannerella Forsythia, after controlling for active caries, tobacco usage, age, and gender. Analysis of a control group with none to moderate periodontal disease revealed no association of multimorbidity or numbers of medications used and specific oral bacteria, indicating the importance of severe periodontal disease as a variable of interest. The hypothesis that periodontal disease patients with higher levels of multimorbidity would have higher levels of oral periodontal pathogens is false. Multimorbidity is associated with a reduced relative number of periodontal pathogens Porphyromonas gingivalis and Tannerella forsythia.

Occupational multimorbidity in the nickel industry workers

ABSTRACT The purpose of the study was to obtain new data on the causes, development, prevalence and nature of occupational multimorbidity in the nickel industry workers. We extracted data from the register of occupational disease and intoxication cases in the population of the Murmansk region and the Krasnoyarsk Territory in 2007–2021. In 2007–2021, 24.6% of nickel industry workers with newly diagnosed occupational diseases developed a multimorbid pathology. Its prevalence rose from 0% in 2007 to 83.3% in 2021, and the number of occupational diseases increased by 3.17 times. Two diagnoses were found in 66 (14.9%), three in 22 (5.0%), four in fifteen (3.4%), five in eleven (2.5%), and six in three (0.7%) employees. Respiratory and musculoskeletal diseases were the most prevalent disorders, accounting for 31.5% and 23.0% of cases, respectively. Occupational multimorbidity resulted from the increased combined exposure to occupational hazards, outdated technological processes, and the working conditions in the finished product cleaners and crane operators. Multimorbid diseases can be better prevented with improvement in working conditions and better quality of periodic medical examinations.

Association of cardiovascular health using Life's Essential 8 with noncommunicable disease multimorbidity

Cardiovascular health (CVH) is closely associated with various noncommunicable diseases (NCDs) and comorbidity; however, the influence of CVH on NCD multimorbidity was not fully elucidated. We aimed to examine the association between CVH using Life's Essential 8 (LE8) and NCD multimorbidity among adults, males, and females in the United States, conducting a cross-sectional analysis using data involving 24,445 participants from the National Health and Nutrition Examination Survey (NHANES) from 2007 to 2018. LE8 was categorized into low, moderate, and high CVH groups. Multivariate logistic regressions and restricted cubic spline regressions were used to estimate the association between LE8 and NCD multimorbidity. Overall, 6162 participants had NCD multimorbidity, of which 1168 (43.5%), 4343 (25.9%), and 651 (13.4%) had low, moderate, and high CVH, separately. After multivariable adjustment, LE8 was negatively associated with NCD multimorbidity among adults (odds ratio (OR) for per 1 standard deviation (SD) increase in LE8 and 95% confidence interval (CI), 0.67 (0.64, 0.69)), and the top 3 NCDs associated with CVH were emphysema, congestive heart failure, stroke, and the dose-response relationships between LE8 and NCD multimorbidity were observed among adults (overall P < 0.001). Similar patterns were also identified among males and females. Higher CVH measured by the LE8 score was associated with lower odds of NCD multimorbidity among adults, males, and females.

Multi-response Mendelian randomization: Identification of shared and distinct exposures for multimorbidity and multiple related disease outcomes

The existing framework of Mendelian randomization (MR) infers the causal effect of one or multiple exposures on one single outcome. It is not designed to jointly model multiple outcomes, as would be necessary to detect causes of more than one outcome and would be relevant to model multimorbidity or other related disease outcomes. Here, we introduce multi-response Mendelian randomization (MR2), an MR method specifically designed for multiple outcomes to identify exposures that cause more than one outcome or, conversely, exposures that exert their effect on distinct responses. MR2 uses a sparse Bayesian Gaussian copula regression framework to detect causal effects while estimating the residual correlation between summary-level outcomes, i.e., the correlation that cannot be explained by the exposures, and vice versa. We show both theoretically and in a comprehensive simulation study how unmeasured shared pleiotropy induces residual correlation between outcomes irrespective of sample overlap. We also reveal how non-genetic factors that affect more than one outcome contribute to their correlation. We demonstrate that by accounting for residual correlation, MR2 has higher power to detect shared exposures causing more than one outcome. It also provides more accurate causal effect estimates than existing methods that ignore the dependence between related responses. Finally, we illustrate how MR2 detects shared and distinct causal exposures for five cardiovascular diseases in two applications considering cardiometabolic and lipidomic exposures and uncovers residual correlation between summary-level outcomes reflecting known relationships between cardiovascular diseases.

Latest Findings in Key Research Areas of Precision Nursing for Chronic Diseases in Older Adults

The advent of the era of biomedical big data has helped promote the development of precision nursing. Precision nursing for chronic diseases in older adults is an interdisciplinary research field in which accurate individualized data are utilized to carry out early screening and health management of older adult populations at high risk for chronic diseases and early intervention of diseases, which plays an important role in improving the prognosis of diseases and the health level of the older adult population. Herein, we introduced the concept of precision nursing, and discussed the latest research findings in the key areas of precision nursing for chronic diseases in older adults, including precision symptom management in cancer patients and precision nursing in older patients with multimorbidity. At present, research concerning precise symptom management of cancer patients is mainly focused on prediction modelling for risks of symptoms, longitudinal change trajectories, core symptom identification, etc. Investigations in the precise nursing of cancer patients are conducted in the following areas, risk prediction, the timing of interventions, and intervention targets. Research on precision nursing for multimorbidity is mainly focused on assessment of chronic disease multimorbidity, multimorbidity pattern recognition, and health management of multimorbidity. We also discussed potential opportunities and challenges of precision nursing in the future, in order to provide a scientific basis for the improving the practice and theories of precision nursing. In the future, precision nursing will play an ever more important role in uncovering pathogenic information, the diagnosis and treatment of diseases, the health of the research population, and the promotion of medical research.

Ethnic disparities in prevalence of chronic non-communicable diseases and its multimorbidity among older adults in rural southwest China

BackgroundAs the population ages, chronic non-communicable diseases (NCDs) multimorbidity has emerged as a major public health issue globally. This study examines ethnic disparities in prevalence of NCDs and its multimorbidity among rural southwest Chinese older adults.MethodsA cross-sectional survey was conducted in rural southwest population aged ≥ 60 years consisting of 5,642 consenting participants of Han and three ethnic minority groups (Dai, Ha Ni, and Bai). Information about participants’ demographic characteristics and lifestyle behaviors was obtained using a standard questionnaire. Anthropometric measurements including height, weight, and waist circumference, fasting blood sugar and blood pressure measurement, as well as post-bronchodilator spirometry test were recorded for each participant.ResultsThe age-standardized prevalence of five common chronic NCDs– hypertension, diabetes, coronary heart disease (CHD), stroke, chronic obstructive pulmonary disease (COPD) – and its multimorbidity was 72.8%, 15.9%, 4.0%, 10.0%, 9.8%, and 27.6%, respectively. Bai participants had both the highest overall and sex-specific prevalence rates of hypertension, diabetes, stroke, and COPD, whereas Han participants had the highest rates of CHD (P < 0.01). The results of multivariate logistic regression analysis indicated that female and older participants had a higher probability of chronic NCDs multimorbidity than their counterparts (P < 0.01). Bai ethnic minority participants were more likely to have NCDs multimorbidity while Ha Ni and Dai ethnic minority participants were less likely to have NCD multimorbidity relative to the Han participants (P < 0.05). Older adults with a higher level of education and family history of chronic NCDs, and who were also current smokers, current drinkers, obese, centrally obese, and physically inactive had a greater probability of developing chronic NCDs multimorbidity (P < 0.01).ConclusionsEthnicity and individual demographic and lifestyle factors significantly impact prevalence of chronic NCDs multimorbidity. Future chronic NCDs prevention and control strategies must be tailored to address ethnicity, and culturally tailored lifestyle interventions may reduce the prevalence of chronic NCDs multimorbidity in rural southwest China.

Long-term safety of COVID vaccination in individuals with idiopathic inflammatory myopathies: results from the COVAD study

Limited evidence on long-term COVID-19 vaccine safety in patients with idiopathic inflammatory myopathies (IIMs) continues to contribute to vaccine hesitancy. We studied delayed-onset vaccine adverse events (AEs) in patients with IIMs, other systemic autoimmune and inflammatory disorders (SAIDs), and healthy controls (HCs), using data from the second COVID-19 Vaccination in Autoimmune Diseases (COVAD) study. A validated self-reporting e-survey was circulated by the COVAD study group (157 collaborators, 106 countries) from Feb–June 2022. We collected data on demographics, comorbidities, IIM/SAID details, COVID-19 history, and vaccination details. Delayed-onset (> 7 day) AEs were analyzed using regression models. A total of 15165 respondents undertook the survey, of whom 8759 responses from vaccinated individuals [median age 46 (35–58) years, 74.4% females, 45.4% Caucasians] were analyzed. Of these, 1390 (15.9%) had IIMs, 50.6% other SAIDs, and 33.5% HCs. Among IIMs, 16.3% and 10.2% patients reported minor and major AEs, respectively, and 0.72% (n = 10) required hospitalization. Notably patients with IIMs experienced fewer minor AEs than other SAIDs, though rashes were expectedly more than HCs [OR 4.0; 95% CI 2.2–7.0, p < 0.001]. IIM patients with active disease, overlap myositis, autoimmune comorbidities, and ChadOx1 nCOV-19 (Oxford/AstraZeneca) recipients reported AEs more often, while those with inclusion body myositis, and BNT162b2 (Pfizer) recipients reported fewer AEs. Vaccination is reassuringly safe in individuals with IIMs, with AEs, hospitalizations comparable to SAIDs, and largely limited to those with autoimmune multimorbidity and active disease. These observations may inform guidelines to identify high-risk patients warranting close monitoring in the post-vaccination period.

Chronic disease multimorbidity and substance use among African American men: veteran-non-veteran differences

ABSTRACT Objectives The purpose of the study was to explore the extent to which prior military service may moderate the relationship between chronic disease multimorbidity and substance use among African American men in the United States. Design Data for this cross-sectional study was downloaded from the 2016 –2019 United States (US) National Survey on Drug Use and Health. We estimated three survey-weighted multivariable logistic regression models, where use of each of the following substances served as the dependent variables: illicit drugs, opioids, and tobacco. Differences in these outcomes were examined along two primary independent variables: veteran status and multimorbidity (and an interaction term for these variables). We also controlled for the following covariates: age, education, income, rurality, criminal behavior, and religiosity. Results From the 37,203,237 (weighted N) African American men in the sample, approximately 17% reported prior military service. Veterans with ≥ 2 chronic diseases had higher rates of illicit drug use (aOR = 1.37, 95% CI = 1.01, 1.87; 32% vs. 28%) than non-veterans with ≥ 2 chronic diseases. Non-veterans with one chronic disease had higher rates of tobacco use (aOR = 0.80, 95% CI = 0.69, 0.93; 29% vs. 26%) and opioid misuse (aOR = 0.49, 95% CI = 0.36, 0.67; 29% vs. 18%) than veterans with one chronic disease. Discussion Chronic disease multi-morbidity appears to be a context in which African American veterans may be at greater risk for certain undesirable health behaviors than African American non-veterans and at lower risk for others. This may be due to exposure to trauma, difficulty accessing care, socio-environmental factors, and co-occurring mental health conditions. These complex interactions may contribute to higher rates of SUDs among African American veterans compared to African American non-veterans.

A hypothesis - generating Swedish extended national cross-sectional family study of multimorbidity severity and venous thromboembolism

ObjectivesVenous thromboembolism (VTE) is a common worldwide disease. The burden of multimorbidity, that is, two or more chronic diseases, has increased. Whether multimorbidity is associated with VTE risk remains to...

Is early age at menarche associated with multimorbidity? Findings from the Azar Cohort study

AimsThis study aimed to assess the association of age at menarche (AAM) with multimorbidity and chronic diseases. MethodsWe used data regarding the reproductive history of 8,294 female participants of the Azar Cohort Study. A questionnaire assessed the participants’ demographic information, reproductive history, personal behaviors, smoking status, socioeconomic status, activity status, and wealth score index. ResultsAmong 8,286 women included in the analysis, the AAM was < 12 years (early) in 648 (7.8%), 12–14 years (normal) in 4,911 (59.3%), and > 14 years (late) in 2,727 (32.9%) individuals. Early menarche was associated with a high risk of diabetes, obesity, and high WHR. On the other hand, late menarche was associated with higher rates of hypertension, stroke, and diabetes but a lower risk of MM, rheumatoid disease, obesity, abdominal obesity, and WHtR. ConclusionChanges in AAM have significant health implications. Factors predisposing individuals to early menarche and its consequences should be considered in chronic disease prevention strategies for adolescents and young adults.

Vocal cord dysfunction/inducible laryngeal obstruction-2022 Melbourne Roundtable Report.

Vocal cord dysfunction/inducible laryngeal obstruction (VCD/ILO), is a common condition characterized by breathlessness associated with inappropriate laryngeal narrowing. Important questions remain unresolved, and to improve collaboration and harmonization in the field, we convened an international Roundtable conference on VCD/ILO in Melbourne, Australia. The aims were to delineate a consistent approach to VCD/ILO diagnosis, appraise disease pathogenesis, outline current management and model(s) of care and identify key research questions. This report summarizes discussions, frames key questions and details recommendations. Participants discussed clinical, research and conceptual advances in the context of recent evidence. The condition presents in a heterogenous manner, and diagnosis is often delayed. Definitive diagnosis of VCD/ILO conventionally utilizes laryngoscopy demonstrating inspiratory vocal fold narrowing >50%. Computed tomography of the larynx is a new technology with potential for swift diagnosis that requires validation in clinical pathways. Disease pathogenesis and multimorbidity interactions are complex reflecting a multi-factorial, complex condition, with no single overarching disease mechanism. Currently there is no evidence-based standard of care since randomized trials for treatment are non-existent. Recent multidisciplinary models of care need to be clearly articulated and prospectively investigated. Patient impact and healthcare utilization can be formidable but have largely escaped inquiry and patient perspectives have not been explored. Roundtable participants expressed optimism as collective understanding of this complex condition evolves. The Melbourne VCD/ILO Roundtable 2022 identified clear priorities and future directions for this impactful condition.

Disease Burden and the Accumulation of Multimorbidity of Noncommunicable Diseases in a Rural Population in Henan, China: Cross-sectional Study.

Multimorbidity causes substantial disease and economic burdens on individuals and the health care system. This study aimed to explore the disease burden of multimorbidity and the potential correlations among chronic noncommunicable diseases (NCDs) in a rural population in Henan, China. A cross-sectional analysis was performed using the baseline survey of the Henan Rural Cohort Study. Multimorbidity was defined as the simultaneous occurrence of at least two NCDs in a participant. This study examined the multimorbidity pattern of 6 NCDs, including hypertension, dyslipidemia, type 2 diabetes mellitus, coronary heart disease, stroke, and hyperuricemia. From July 2015 to September 2017, a total of 38,807 participants (aged 18-79 years; 15,354 men and 23,453 women) were included in this study. The overall population prevalence of multimorbidity was 28.1% (10,899/38,807), and the multimorbidity of hypertension and dyslipidemia was the most common (8.1%, 3153/38,807). Aging, higher BMI, and unfavorable lifestyles were significantly associated with a higher risk of multimorbidity (multinomial logistic regression, all P<.05). The analysis of the mean age at diagnosis suggested a cascade of interrelated NCDs and their accumulation over time. Compared with participants without 2 conditional NCDs, participants with 1 conditional NCD would have higher odds of another NCD (1.2-2.5; all P<.05), and those with 2 conditional NCDs would elevate the odds of the third NCD to 1.4-3.5 (binary logistic regression, all P<.05). Our findings indicate a plausible tendency for the coexistence and accumulation of NCDs in a rural population in Henan, China. Early prevention of multimorbidity is essential to reduce the NCD burden in the rural population.

Functional limitation as a mediator of the relationship between multimorbidity on health-related quality of life in Australia: evidence from a national panel mediation analysis.

The inverse relationships between chronic disease multimorbidity and health-related quality of life (HRQoL) have been well-documented in the literature. However, the mechanism underlying this relationship remains largely unknown. This is the first study to look into the potential role of functional limitation as a mediator in the relationship between multimorbidity and HRQoL. This study utilized three recent waves of nationally representative longitudinal Household, Income, and Labor Dynamics in Australia (HILDA) surveys from 2009 to 2017 (n = 6,814). A panel mediation analysis was performed to assess the role of functional limitation as a mediator in the relationship between multimorbidity and HRQoL. The natural direct effect (NDE), indirect effect (NIE), marginal total effect (MTE), and percentage mediated were used to calculate the levels of the mediation effect. This study found that functional limitation is a significant mediator in the relationship between multimorbidity and HRQoL. In the logistic regression analysis, the negative impact of multimorbidity on HRQoL was reduced after functional limitation was included in the regression model. In the panel mediation analysis, our results suggested that functional limitation mediated ~27.2% (p < 0.05) of the link between multimorbidity and the composite SF-36 score for HRQoL. Functional limitation also mediated the relationship between the number of chronic conditions and HRQoL for each of the eight SF-36 dimensions, with a proportion mediated ranging from 18.4 to 28.8% (p < 0.05). Functional status has a significant impact on HRQoL in multimorbid patients. Treatment should concentrate on interventions that improve patients' functioning and mitigate the negative effects of multimorbidity.

Study on related factors and characteristics of multimorbidity of overweight and obesity-related diseases in children in Hunan Province

From January 2019 to December 2021, overweight and obese children who visited in health outpatient Center of Hunan Children's Hospital were studied to explore and analyze the rate, related factors and patterns of multimorbidity of overweight and obesity-related diseases in children in Hunan Province. Univariate and multivariate logistic regression models were used to analyze the multimorbidity-related factors of overweight and obesity-related diseases in children. Association rules (apriori algorithm) were used to explore the multimorbidity patterns of overweight and obesity-related diseases in children. A total of 725 overweight and obese children were included in this study. The multimorbidity rate of overweight and obesity-related diseases in children was 46.07% (334/725). Age, waist circumference, the frequency of food consumption such as hamburgers and fries and adding meals before bedtime were multimorbidity-related factors of overweight and obesity-related diseases in children. The multimorbidity associated with nonalcoholic fatty liver disease (NAFLD) was relatively common. The patterns with the top three support degrees were "NAFLD+dyslipidemia","NAFLD+hypertension" and "NAFLD+hyperuricemia". The patterns with the top three confidence and elevation degrees were "Hypertension+dyslipidemia => NAFLD","Hyperuricemia => NAFLD" and "NAFLD+hypertension => dyslipidemia".

Prevalence, patterns and prognosis of multimorbidity among middle-aged and elderly inpatients with chronic obstructive pulmonary disease

Objective: To explore the characteristics, patterns of multimorbidity and the impact on quality of life and the prognosis of middle-aged and elderly patients with chronic obstructive pulmonary disease (COPD). Methods: This is a cross-sectional study. From January 2012 to December 2021, 939 middle-aged and elderly COPD patients hospitalized in Beijing Hospital were selected by the convenient sampling method. The basic data of patients and the date of 16 common chronic diseases were collected. Patterns of multimorbidity were depicted by cluster analysis. Generalized linear regression model and logistic regression were used to evaluate the multimorbidity patterns and their prognosis. Results: At least one multimorbidity existed among 93.40% of COPD patients, and the median number of multimorbidity was 3. The top five multimorbidity among the patients were hypertension (57.93%, 544/939), coronary heart disease (33.76%,317/939), heart failure (31.95%,300/939), hyperlipidemia (31.63%,297/939) and arrhythmia (27.37%,257/939). Four multimorbidity patterns were identified, cardiometabolic and metabolic multimorbidity, kidney disease multimorbidity, respiratory-digestive-tumor multimorbidity and other multimorbidity. Cardiometabolic and metabolic multimorbidity was most common (590/939, 62.83%). Compared with non-cardiometabolic and metabolic multimorbidity, the incharge ADL score of patients with this multimorbidity decreased by 7 points (95%CI:-11.22- -3.34), Correspondingly, patients with kidney disease multimorbidity decreased by 14 points (95%CI:-24.12- -3.30) on the incharge score. The presence or absence of kidney disease multimorbidity had the greatest impact on discharge score, which was reduced by 12 points in comparison with patients without this multimorbidity (95%CI:-22.43- -2.40). ICU admission is mostly affected by the presence of cardiometabolic and metabolic multimorbidity (OR=2.44, 95%CI: 1.51-3.92) and kidney disease multimorbidity (OR=2.58, 95%CI: 1.01-6.60). The risk of death is the highest for cardiometabolic and metabolic multimorbidity (OR=2.24, 95%CI: 1.19-4.21). Conclusion: Multimorbidity is common in COPD patients. The most common pattern is cardiometabolic and metabolic multimorbidity. Cardiometabolic and metabolic multimorbidity and kidney disease multimorbidity significantly affect the quality of life and often associate with a poor prognosis.

Are pharmacists' knowledge and practice the key to promoting deprescribing of potentially inappropriate medication: a missing link between treatment and outcomes.

Deprescribing is a novel strategy whereby medical professionals aim to optimize a patient's prescription program by removing redundant medications. Few studies have looked at the viewpoints of community pharmacists and other healthcare professionals on deprescribing in daily practice. This study's objectives included evaluating community pharmacists' deprescribing knowledge, attitudes and practices, as well as identifying the obstacles to and enablers of deprescribing in daily practice. Five pharmacy students in the last year of their studies polled employees of neighbourhood pharmacies in Abu Dhabi, Dubai, and the Northern Emirates from April 2022 to July 2022. The study's questionnaire was divided into two sections: questions that inquired about the respondents' demographic data and questions that evaluated the respondents' understanding and usage of the deprescribing of potentially harmful medications for patients. The original Bloom's cutoff points were revised and modified to assess the general knowledge and deprescribing practices of United Arab Emirates (UAE) community pharmacists. Multivariate logistic regression identified the variables influencing respondents' deprescribing knowledge and practice. The average age of the participants was 30.8 ± 6.4 SD. Of the total, 255 (37.7%) were male and 422 (62.3%) were female. Pharmacists from independent pharmacies constituted 52.9% of the study sample and 47.1% were from Chain pharmacies. Among the participants, 58.8% (n = 398) had 1-5 years of experience and 41.2% (n = 279) had more than 5 years. Nearly three-quarters of the pharmacists (72.1%, 488) graduated from local universities and 27.9% (n = 189) graduated from regional/international universities. The vast majority of the study sample (84.8%, 574) were bachelor's degree holders and 88.3% (n = 598) were pharmacists in charge. Of the total, 69.3% (n = 469) received deprescribing training to treat patients with multimorbid diseases. The knowledge and practice score was 71.3% with a 95% confidence interval [70.2%, 72.4%]. Of the total participants, 113 (16.7%) had poor knowledge and practice about deprescribing, 393 (58.1%) had moderate knowledge and practice and 171 (25.3%) had good knowledge and practice. This study highlights the level of understanding of community pharmacists about deprescribing in the UAE. Although most of the respondents in this study received training on deprescribing, less than half of the community pharmacists were unaware of certain classes (long-acting sulfonylureas, anti-diabetic, antihyperlipidemic and psychotropic drugs) of drugs that are candidates for potential deprescribing. This finding indicates that their knowledge about deprescribing was insufficient. Several barriers community pharmacists face in deprescribing were also identified, with patients' resistance and insufficience being the most prevalent. Therefore, there is a need for improved deprescribing practices to ensure drug safety.

Associations among socioeconomic status, multimorbidity of non-communicable diseases, and the risk of household catastrophic health expenditure in China: a population-based cohort study

BackgroundMultimorbidity of non-communicable diseases (NCDs) is increasingly prevalent among older adults around the world, leading a higher risk of household catastrophic health expenditure (CHE). As current powerful evidence was insufficient, we aimed to estimate the association between multimorbidity of NCDs and the risk of CHE in China.MethodsWe designed a cohort study using data investigated in 2011–2018 from the China Health and Retirement Longitudinal Study, which is a nationally-representative study covering 150 counties of 28 provinces in China. We used mean ± standard deviation (SD) and frequencies and percentages to describe baseline characteristics. Person χ2 test was employed to compare the differences of baseline characteristics between households with and without multimorbidity. Lorenz curve and concentration index were used to measure the socioeconomic inequalities of CHE incidence. Cox proportional hazards models were applied to estimate adjusted hazard ratios (aHRs) and 95% confidence intervals (CIs) for the association between multimorbidity and CHE.ResultsAmong 17,708 participants, 17,182 individuals were included for the descriptive analysis of the prevalence of multimorbidity in 2011, and 13,299 individuals (8029 households) met inclusion criteria and were included in the final analysis with a median of 83 (interquartile range: 25–84) person-months of follow-up. 45.1% (7752/17,182) individuals and 56.9% (4571/8029) households had multimorbidity at baseline. Participants with higher family economic level (aOR = 0.91, 95% CI: 0.86–0.97) had lower multimorbidity prevalence than those with lowest family economic level. 82.1% of participants with multimorbidity did not make use of outpatient care. The CHE incidence was more concentrated among participants with higher socioeconomic status (SES) with a concentration index of 0.059. The risk of CHE was 19% (aHR = 1.19, 95% CI: 1.16–1.22) higher for each additional NCD.ConclusionsApproximately half of middle-aged and older adults in China had multimorbidity, causing a 19% higher risk of CHE for each additional NCD. Early interventions for preventing multimorbidity among people with low SES could be intensified to protect older adults from financial hardship. In addition, concerted efforts are needed to increase patients’ rational healthcare utilization and strengthen current medical security for people with high SES to reduce economic disparities in CHE.

Dancing with the patient: a qualitative study of general practitioners’ experiences of managing patients with multimorbidity and common mental health problems

BackgroundPatients with multimorbidity, having two or more chronic diseases, suffer frequently from undiagnosed common mental health problems and are an increasing challenge in primary care. There is a call to improve care delivery to address all these patients’ needs at the same time. The aim of this study was to identify general practitioners’ experiences of managing patients with multimorbidity and common mental health problems in primary care.MethodsWe conducted five focus group interviews with 28 physicians (3–8 participants in each group) in 5 primary care practices in and outside of Stockholm, Sweden. We used a semi-structured interview guide, and we analysed the data using reflexive thematic analysis. The methodological orientation of the study was inductive, latent constructivism.ResultsWe generated two themes from the data: Unmet patient needs and fragmented care send patients and physicians off balance and Dancing with the patient individually and together with others leads to confident and satisfied patients and physicians. The two themes are related as general practitioners expressed a need to shift from disease-specific fragmentation to relational continuity, teamwork, and flexibility to meet the needs of patients with multimorbidity and common mental health problems.ConclusionsThese findings can provide guidance in developing future interventions for patients with multimorbidity and common mental health problems in primary care in general, and in Sweden in particular.

Association of Ultra-Processed Food Intake with Cardiovascular and Respiratory Disease Multimorbidity: AProspective Cohort Study.

Evidence suggests a positive association between ultra-processed food (UPF) consumption and the incidence of cardiovascular disease (CVD). The study aims to investigate associations between UPF intake and respiratory disease, CVD, and their multimorbidity in a large prospective cohort. Within the UK Biobank, participants who are free from respiratory disease or CVD at baseline and completed at least two times 24-h dietary records are included in this study. After adjusting for socioeconomic status and lifestyle factors, the hazard ratios (95% confidence interval) for each 10% increase in UPF are 1.06 (1.04, 1.09) for CVD, 1.04 (1.02, 1.06) for respiratory disease, 1.15 (1.08, 1.22) for CVD mortality, and 1.06 (1.01, 1.12) for their multimorbidity, respectively. In addition, replacing 20% of UPF weight in diet with an equivalent proportion of unprocessed or minimally processed foods is estimated to be associated with 11% lower risk of CVD, 7% lower risk of respiratory disease, 25% lower risk of CVD mortality, and 11% lower risk of CVD and respiratory disease multimorbidity. In this prospective cohort study, higher consumption of UPF is associated with higher risks of CVD and respiratory disease multimorbidity. Further longitudinal studies are needed to confirm these findings.

Use of Computation Ecosystems to Analyze the Kidney-Heart Crosstalk.

The identification of mediators for physiologic processes, correlation of molecular processes, or even pathophysiological processes within a single organ such as the kidney or heart has been extensively studied to answer specific research questions using organ-centered approaches in the past 50 years. However, it has become evident that these approaches do not adequately complement each other and display a distorted single-disease progression, lacking holistic multilevel/multidimensional correlations. Holistic approaches have become increasingly significant in understanding and uncovering high dimensional interactions and molecular overlaps between different organ systems in the pathophysiology of multimorbid and systemic diseases like cardiorenal syndrome because of pathological heart-kidney crosstalk. Holistic approaches to unraveling multimorbid diseases are based on the integration, merging, and correlation of extensive, heterogeneous, and multidimensional data from different data sources, both -omics and nonomics databases. These approaches aimed at generating viable and translatable disease models using mathematical, statistical, and computational tools, thereby creating first computational ecosystems. As part of these computational ecosystems, systems medicine solutions focus on the analysis of -omics data in single-organ diseases. However, the data-scientific requirements to address the complexity of multimodality and multimorbidity reach far beyond what is currently available and require multiphased and cross-sectional approaches. These approaches break down complexity into small and comprehensible challenges. Such holistic computational ecosystems encompass data, methods, processes, and interdisciplinary knowledge to manage the complexity of multiorgan crosstalk. Therefore, this review summarizes the current knowledge of kidney-heart crosstalk, along with methods and opportunities that arise from the novel application of computational ecosystems providing a holistic analysis on the example of kidney-heart crosstalk.