A Multicenter Study of Multimorbidity in Older Adult Inpatients in China

Objectives

Multimorbidity is common in older hospitalized adults. To date, however, few studies have addressed multimorbidity in the older population of Chinese inpatients. We aimed to investigate the multimorbidity rate and associated risk factors in older adult inpatients in China.

Design, Setting, Participants

This study was conducted in the medical wards of a tertiary-care hospital from. The patients were recruited aged between 60 to 101 (74.14±8.46) years.

Measurements

Data were obtained from the China Comprehensive Geriatric Assessment Study, conducted in 2011–2012 in China. A total of 4,633 inpatients older than 60 years was recruited from 12 hospitals in 7 cities throughout China. The prevalence of comorbidity, distribution of common chronic diseases, and the associated risk factors were studied.

Results

A total of 4,348 people aged 60 to 101 (74.14±8.46) years completed questionnaires. The average frequency of multimorbidity was 69.3% (95% CI, 67.9% to 70.6%). The prevalence of multimorbidity increased with age and was higher in men (71.6%; 95% CI, 69.9% to 73.3%) than in women (65.3%, 95% CI 63.0% to 67.6%), and higher in the northern region (71.7%, 95% CI 69.9% to 73.5%) than in the southern region (66.0%; 95% CI, 63.8% to 68.1%). The most frequent chronic diseases were hypertension, coronary heart disease, diabetes, cataract, and stroke. Area (OR=0.556; 95% CI, 0.465 to 0.666), region (OR=0.834; 95% CI, 0.723 to 0.962), body mass index (BMI) (OR=1.124; 95% CI, 1.017 to 1.242), and impairment of activities of daily living (OR=0.911; 95% CI, 0.855 to 0.970) were independent factors associated with multimorbidity.

Conclusions

Multimorbidity is common in older Chinese inpatients with a national prevalence of 69.3% that increases in line with age. Age, region, area, BMI, and daily activities were independent factors significantly associated with multimorbidity in older inpatients. Clinicians should therefore focus more attention on multimorbidity.

     

Association Between Multimorbidity and Rate of Falls: A 3-Year 5-Country Prospective Study in Generally Healthy and Active Community-Dwelling Adults Aged ≥70 Years

ObjectiveTo examine the association between the baseline number of chronic diseases and multimorbidity with regard to the incidence of all and injurious falls over 3 years among European community-dwelling older adults.DesignObservational analysis of DO-HEALTH, a double-blind, randomized controlled trial.Setting and participantsMulticenter trial with 7 European centers: Zurich, Basel, Geneva (Switzerland), Berlin (Germany), Innsbruck (Austria), Toulouse (France), and Coimbra (Portugal), including 2157 community-dwelling adults aged 70 years and older without any major health events in the 5 years prior to enrollment, sufficient mobility, and good cognitive status.MethodsThe main outcomes were the number of all falls and injurious falls experienced over 3 years. The number of chronic diseases and multimorbidity, defined as the presence of 3 or more chronic diseases at baseline, were assessed with the Self-Administered Comorbidity Questionnaire by Sangha et al.ResultsAmong the 2155 participants included in the analyses (mean age: 74.9 years, 62% were women, 52% were physically active more than 3 times a week), 569 (26.4%) had multimorbidity at baseline. Overall, each 1-unit increase in the baseline number of chronic diseases was linearly associated with a 7% increased incidence rate of all falls [adjusted incidence rate ratio (aIRR) 1.07, 95% CI 1.03-1.12, P < .001] and a 6% increased incidence rate of injurious falls (aIRR 1.06, 95% CI 1.02-1.11, P = .003). Baseline multimorbidity was associated with a 21% increased incidence rate of all falls (aIRR 1.21, 95% CI 1.07-1.37, P = .002) and a 17% increased incidence rate of injurious falls (aIRR 1.17, 95% CI 1.03-1.32, P = .02).Conclusions and ImplicationsBaseline number of prevalent chronic diseases and multimorbidity in generally healthy and active community-dwelling older adults were associated with increased incidence rates of all and injurious falls over 3 years. These findings support that multimorbidity may need consideration as a risk factor for falls, even in generally healthy and active older adults.     

Salud autopercibida en ancianos jóvenes españoles y portugueses tras la recesión según la Encuesta Europea de Salud: un estudio transversal

ObjectiveThe aim of this study is to describe self-perceived health (SPH) in Spanish and Portuguese population aged between 65 and 74 years old and to analyze other associated factors measured in the European Health Interview Survey (EHIS) in 2014.DesignRetrospective secondary data analysis from EHIS 2014.SettingCommunity based.ParticipantsYoung seniors, people aged 65-74 years old surveyed and with available data from two countries.Main measurementsFor each country and sex, SPH, sociodemographic variables, clinical chronic conditions, lifestyles and utilization of health care resources were described. A multiple logistic regression (very good or good SPH versus remaining levels) with robust estimators was used to assess the country effect adjusted by sociodemographic factors, clinical factors and/or lifestyles.ResultsGood SPH showed variation by country (52.9% Spain vs. 19% Portugal; P < .001) and gender (44% men vs. 31.3% women; P < .001). Both countries had high prevalence of multimorbidity (64.7% Spain vs. 76.3% Portugal; P < .001) and the distribution of chronic diseases was similar with the only exception of depression (13.2% Spain vs. 20.3% Portugal; P < .001). Regarding individual factors related with good SPH we found Spanish nationality (OR: 4.52; 95% CI: 4.05-5.04), male gender (OR: 1.10; 95% CI: 1.101-2.21), education level, completing primary school (OR: 1.28; 95% CI: 1.24-1.31) or achieving tertiary level (OR: 2.43; 95% CI: 1.14-5.17) and physical activity of two or more days per week (OR: 1.87; 95% CI: 1.39-2.5). Factors with a negative impact on SPH were multimorbidity (OR: 0.19; 95% CI: 0.12-0.31) and depression (OR: 0.32; 95% CI: 0.25-0.41).DiscussionGood SPH is higher in Spanish young seniors compared to Portuguese. Having higher level of education achieved and practicing regular physical exercise were two most important factors increasing good SPH.     

EUROPREV

Abstract

Background: Ageing people show increasing morbidity, dependence and vulnerability.

Objectives: To compare the relationships of different measures of multimorbidity with dependence (operationalized as disability) and vulnerability (operationalized as frailty).

Method: A cross-sectional analysis within the BELFRAIL cohort (567 subjects aged ≥ 80). Multimorbidity was measured using a disease count (DC), the Charlson comorbidity index (CCI) and the cumulative illness rating scale (CIRS), respectively. Associations with disability (based on activities of daily living) and frailty (defined by the Fried frailty criteria) were assessed using bivariable and multivariable analyses. Net reclassification improvement (NRI) values were calculated to compare the abilities of the DC, CCI and CIRS to identify patients with disability or frailty.

Results: Disability was associated with the DC (crude odds ratio, OR: 2.1; 95% confidence interval, CI: 1.4–3.4), CCI (crude OR: 1.8; 95% CI: 1.2–2.7) and CIRS (crude OR: 4.0; 95% CI: 2.5–6.5); only the association with CIRS was independent of age, sex, chronic inflammation, impaired cognition and frailty (adjusted OR: 3.2; 95% CI: 1.7–5.8). Frailty was associated with CCI (crude OR: 2.4; 95% CI: 1.2–4.6) and CIRS (crude OR: 2.6; 95% CI: 1.3–5.3); adjusted for age, sex, chronic inflammation, impaired cognition and disability. These associations were not statistically significant. The NRIs demonstrated a similar ability of the DC, CCI, and CIRS to identify patients with disability or frailty, respectively.

Conclusion: The associations of different measures of multimorbidity with disability and frailty differ but their ability to identify patients with disability or frailty is similar. Generally, multimorbidity scores incompletely reflect dependence and vulnerability in this age group.     

Multimorbidity is associated with uptake of influenza vaccination

ObjectivePatients with chronic conditions have higher rates of severe influenza-related illness and mortality. However, influenza vaccination coverage in high-risk populations continues to be suboptimal. We describe the association between cumulative disease morbidity, measured by a previously validated multimorbidity index, and influenza vaccination among community-dwelling adults.MethodsWe obtained interview and medical record data for participants ≥18 years who sought outpatient care for influenza-like illness between 2011 and 2016 as part of an outpatient-based study of influenza vaccine effectiveness. We defined cumulative disease morbidity by using medical diagnosis codes to calculate a multimorbidity-weighted index (MWI) for each participant. MWI and influenza vaccination status was evaluated by logistic regression. Akaike information criterion was calculated for all models.ResultsOverall, 1458 (48%) of participants out of a total of 3033 received influenza vaccination. The median MWI was 0.9 (IQR 0.00–3.5) and was higher among vaccinated participants (median 1.6 versus 0.0; p < 0.001). We found a positive linear association between MWI and vaccination, and vaccination percentages were compared between categories of MWI. Compared to patients with no multimorbidity (MWI = 0), odds of vaccination were 17% higher in the second category (MWI 0.01–1.50; [OR: 1.17, 95% CI: 0.92–1.50]), 58% higher in the third category (MWI 1.51–3.00; [OR: 1.58, 95% CI: 1.26–1.99]), 130% higher in the fourth category (MWI 3.01–6.00; [OR: 2.30, 95% CI: 1.78–2.98]) and 214% higher in the fifth category (MWI 6.01–45.00;[OR: 3.14, 95% CI: 2.41–4.10]). Participants defined as high-risk had 86% greater odds of being vaccinated than non-high-risk individuals (OR: 1.86, 95% CI: 1.56–2.21). The AIC was lowest for MWI compared with high-risk conditions.ConclusionsOur results suggest a dose response relationship between level of multimorbidity and likelihood of influenza vaccination. Compared with high-risk condition designations, MWI provided improved precision and a better model fit for the measurement of chronic disease and influenza vaccination.     

Rising burden of multimorbidity and related socio-demographic factors: a repeated cross-sectional study of Ontarians

ObjectiveThis study aimed to provide population-level data regarding trends in multimorbidity over 13 years.MethodsWe linked provincial health administrative data in Ontario, Canada, to create 3 cross-sectional panels of residents of any age in 2003, 2009, and 2016 to describe: (i) 13-year trends in multimorbidity prevalence and constellations among residents and across age, sex, and income; and (ii) chronic condition clusters. Multimorbidity was defined as having at least any 2 of 18 selected conditions, and further grouped into levels of 2, 3, 4, or 5 or more conditions. Age-sex standardized multimorbidity prevalence was estimated using the 2009 population as the standard. Clustering was defined using the observed combinations of conditions within levels of multimorbidity.ResultsStandardized prevalence of multimorbidity increased over time (26.5%, 28.8%, and 30.0% across sequential panels), across sex, age, and area-based income. Females, older adults and those living in lower income areas exhibited higher rates in all years. However, multimorbidity increased relatively more among males, younger adults, and those with 4 or 5 or more conditions. We observed numerous and increasing diversity in disease clusters, namely at higher levels of multimorbidity.ConclusionOur study provides relevant and needed population-based information on the growing burden of multimorbidity, and related socio-demographic risk factors. Multimorbidity is markedly increasing among younger age cohorts. Also, there is an increasing complexity and lack of common clustering patterns at higher multimorbidity levels.Supplementary InformationThe online version contains supplementary material available at 10.17269/s41997-021-00474-y.     

Disparities in multimorbidity and mortality among people living with and without HIV across British Columbia’s health regions: a population-based cohort study

ObjectivesLonger survival has increased the likelihood of antiretroviral-treated people living with HIV (PLWH) developing age-associated comorbidities. We compared the burden of multimorbidity and all-cause mortality across HIV status in British Columbia (BC), and assessed the longitudinal effect of multimorbidity on all-cause mortality among PLWH.MethodsAntiretroviral-treated PLWH aged ≥19 years and 1:4 age-sex-matched HIV-negative individuals from a population-based cohort were followed for ≥1 year during 2001–2012. Diagnoses of seven age-associated comorbidities were identified from provincial administrative databases and grouped into 0, 1, 2, and ≥3 comorbidities. Multimorbidity prevalence and age-standardized mortality rates (ASMRs) in both populations were stratified by BC’s health regions. Marginal structural models were used to estimate the effect of multimorbidity on mortality among PLWH, adjusted for time-varying confounders affected by prior multimorbidity.ResultsAmong 8031 PLWH and 32,124 HIV-negative individuals, 25% versus 11% developed multimorbidity, and 23.53 deaths/1000 person-years (95% confidence interval [95% CI]: 22.02–25.13) versus 3.04 (2.81–3.29) were observed, respectively. PLWH in Northern region had the highest ASMR, but those in South Vancouver Island experienced the greatest difference in mortality compared with HIV-negative individuals. Among PLWH, compared with those with zero comorbidities, adjusted hazard ratios for those with 1, 2, and ≥3 comorbidities were 3.36 (95% CI: 2.86–3.95), 6.92 (5.75–8.33), and 12.87 (10.45–15.85), respectively.ConclusionPLWH across BC’s health regions experience excess multimorbidity and associated mortality. We highlight health disparities which are key when planning the distribution of healthcare resources across BC, and provide evidence for improved HIV care models integrating prevention and management of chronic diseases.Supplementary InformationThe online version contains supplementary material available at 10.17269/s41997-021-00525-4.     

Excess Mortality After COVID-19 in Swedish Long-Term Care Facilities

ObjectiveTo compare 30-day mortality in long-term care facility (LTCF) residents with and without COVID-19 and to investigate the impact of 31 potential risk factors for mortality in COVID-19 cases.DesignRetrospective cohort study.Setting and ParticipantsAll residents of LTCFs registered in Senior Alert, a Swedish national database of health examinations in older adults, during 2019-2020.MethodsWe selected residents with confirmed COVID-19 until September 15, 2020, along with time-dependent propensity score–matched controls without COVID-19. Exposures were COVID-19, age, sex, comorbidities, medications, and other patient characteristics. The outcome was all-cause 30-day mortality.ResultsA total of 3731 residents (median age 87 years, 64.5% female) with COVID-19 were matched to 3731 controls without COVID-19. Thirty-day mortality was 39.9% in COVID-19 cases and 5.7% in controls [relative risk 7.05, 95% confidence interval (CI) 6.10-8.14]. In COVID-19 cases, the odds ratio (OR) for 30-day mortality was 2.44 (95% CI 1.57-3.81) in cases aged 80-84 years, 2.99 (95% CI 1.93-4.65) in cases aged 85-89 years, and 3.28 (95% CI 2.11-5.10) in cases aged ≥90 years, as compared with cases aged <70 years. Other risk factors for mortality among COVID-19 cases included male sex (OR, 2.60, 95% CI 2.22-3.05), neuropsychological conditions (OR, 2.18; 95% CI 1.76-2.71), impaired walking ability (OR, 1.45, 95% CI 1.17-1.78), urinary and bowel incontinence (OR 1.51, 95% CI 1.22-1.85), diabetes (OR 1.36, 95% CI 1.14-1.62), chronic kidney disease (OR 1.37, 95% CI 1.11-1.68) and previous pneumonia (OR 1.57, 95% CI 1.32-1.85). Nutritional factors, cardiovascular diseases, and antihypertensive medications were not significantly associated with mortality.Conclusions and ImplicationsIn Swedish LTCFs, COVID-19 was associated with a large excess in mortality after controlling for an extensive number of risk factors. Beyond older age and male sex, several prevalent clinical risk factors independently contributed to higher mortality. These findings suggest that reducing transmission of COVID-19 in LTCFs will likely prevent a considerable number of deaths.     

Influenza vaccination rate and its association with chronic diseases in China: Results of a national cross-sectional study

IntroductionInfluenza vaccination is the most effective way to prevent influenza. Few studies on its rate were reported throughout China and for populations with chronic diseases. An estimation of the rates in China was accomplished.MethodsAll data were from a national cross-sectional survey of a sample representing the population aged 40 years or older in mainland China in 2014–15. A total of 74,484 individuals with complete self-reported influenza vaccination status were analyzed in 2018–19.ResultsThe overall influenza vaccination rate was 2.4% (95% CI 1.4–3.3) with 1.7% (95% CI 1.2–2.2) for the age group 40–59 years and 3.8% (95% CI 1.6–5.9) for the group ≥60 years. The rate was 4.0% (95% CI 2.0–5.9) among people with a chronic disease. People with asthma and people with emphysema had the highest rates (7.1%, 95% CI 3.2–11.0 and 6.6%, 95% CI 3.6–9.7) while people with chronic obstructive pulmonary disease (COPD) and people with chronic bronchitis had the lower rates (3.6%, 95% CI 2.0–5.2 and 4.8%, 95% CI 2.6–7.0). The rate was the highest among former smokers (3.3%, 95% CI 2.3–4.4) compared to current smokers (1.8%, 95% CI 0.9–2.7) and never smokers (2.5%, 95% CI 1.4–3.6). People living with finance-reimbursed vaccination policy, a positive factor for vaccination, had a higher vaccination rate (11.5%, 95% CI 10.8–12.2) (p < 0.05). People with older age, higher education level, occupation of professionals or technical personnel, living in rural areas or Northern China, former/never smoking were more likely to be vaccinated (p < 0.05).ConclusionsThe influenza vaccination rate is low among adults aged ≥40 years, those ≥60 years and those with chronic diseases in China. Reimbursement policy targeting the elderly should be implemented widely and strategies towards patients with chronic diseases need urgent attention to increase the influenza vaccination coverage.     

Factors and Outcomes Associated With Dysphagia in Hospitalized Persons With Dementia

ObjectivesDysphagia is prevalent in older adults with dementia, particularly in the acute care setting. The objective of this study was to use an innovative approach to extract a more representative sample of patients with dysphagia from the electronic health record (EHR) to determine patient characteristics, hospital practices, and outcomes associated with dysphagia in hospitalized persons with dementia.DesignA retrospective study of hospitalized adults (aged ≥65 years) with dementia was conducted in 7 hospitals across the greater New York metropolitan area.Setting and ParticipantsData were obtained from the inpatient EHR with the following inclusion criteria: age ≥65 years; admitted to one of 7 health system hospitals between January 1, 2019, and December 31, 2019; and documented past medical diagnosis of dementia (based on International Classification of Diseases, Ninth Revision).MethodsA diagnosis of dysphagia was defined as nurse documentation of a positive bedside swallow screening, nurse documentation of “difficulty swallowing” as reason for not performing bedside swallow screening, and physician documentation of a dysphagia diagnosis.ResultsOf adults with dementia (N = 8637), the average age was 84.5 years, 61.6% were female, and 18.1% were Black and 9.3% Hispanic. Dysphagia was identified in 41.8% (n = 3610). In multivariable models, dysphagia was associated with invasive mechanical ventilation [odds ratio (OR) 4.53, 95% CI 3.55-5.78], delirium (OR 1.53, 95% CI 1.40-1.68), increased length of stay (B = 3.29, 95% CI 2.98-3.60), and mortality (OR 4.44, 95% CI 3.54-5.55).Conclusions and ImplicationsGiven its high prevalence, underrecognition, and associated poor outcomes, improving large-scale dysphagia identification can impact clinical care and advance research in hospitalized persons with dementia.     

Trends in Health Information Technology Use Among the US Population With and Without Cardiovascular Risk Factors, 2012-2018: Evidence From the National Health Interview Survey

BackgroundThe COVID-19 pandemic has required clinicians to pivot to offering services via telehealth; however, it is unclear which patients (users of care) are equipped to use digital health. This is especially pertinent for adults managing chronic diseases, such as obesity, hypertension, and diabetes, which require regular follow-up, medication management, and self-monitoring.ObjectiveThe aim of this study is to measure the trends and assess factors affecting health information technology (HIT) use among members of the US population with and without cardiovascular risk factors.MethodsWe used serial cross-sectional data from the National Health Interview Survey for the years 2012-2018 to assess trends in HIT use among adults, stratified by age and cardiovascular risk factor status. We developed multivariate logistic regression models adjusted for age, sex, race, insurance status, marital status, geographic region, and perceived health status to assess the likelihood of HIT use among patients with and without cardiovascular disease risk factors.ResultsA total of 14,304 (44.6%) and 14,644 (58.7%) participants reported using HIT in 2012 and 2018, respectively. When comparing the rates of HIT use for the years 2012 and 2018, among participants without cardiovascular risk factors, the HIT use proportion increased from 51.1% to 65.8%; among those with one risk factor, it increased from 43.9% to 59%; and among those with more than one risk factor, it increased from 41.3% to 54.7%. Increasing trends in HIT use were highest among adults aged >65 years (annual percentage change [APC] 8.3%), who had more than one cardiovascular risk factor (APC 5%) and among those who did not graduate from high school (APC 8.8%). Likelihood of HIT use was significantly higher in individuals who were younger, female, and non-Hispanic White; had higher education and income; were married; and reported very good or excellent health status. In 2018, college graduates were 7.18 (95% CI 5.86-8.79), 6.25 (95% CI 5.02-7.78), or 7.80 (95% CI 5.87-10.36) times more likely to use HIT compared to adults without high school education among people with multiple cardiovascular risk factors, one cardiovascular risk factor, or no cardiovascular risk factors, respectively.ConclusionsOver 2012-2018, HIT use increased nationally, with greater use noted among younger and higher educated US adults. Targeted strategies are needed to engage wider age, racial, education, and socioeconomic groups by lowering barriers to HIT access and use.     

Distinct trajectories of multimorbidity in primary care were identified using latent class growth analysis

ObjectivesTo investigate the use of latent class growth analysis (LCGA) in understanding onset and changes in multimorbidity over time in older adults.Study Design and SettingThis study used primary care consultations for 42 consensus-defined chronic morbidities over 3 years (2003–2005) by 24,615 people aged >50 years at 10 UK general practices, which contribute to the Consultations in Primary Care Archive database. Distinct groups of people who had similar progression of multimorbidity over time were identified using LCGA. These derived trajectories were tested in another primary care consultation data set with linked self-reported health status.ResultsFive clusters of people representing different trajectories were identified: those who had no recorded chronic problems (40%), those who developed a first chronic morbidity over 3 years (10%), a developing multimorbidity group (37%), a group with increasing number of chronic morbidities (12%), and a multi-chronic group with many chronic morbidities (1%). These trajectories were also identified using another consultation database and associated with self-reported physical and mental health.ConclusionThere are distinct trajectories in the development of multimorbidity in primary care populations, which are associated with poor health. Future research needs to incorporate such trajectories when assessing progression of disease and deterioration of health.     

Differences in Clinical Presentation With Long COVID After Community and Hospital Infection and Associations With All-Cause Mortality: English Sentinel Network Database Study

BackgroundMost studies of long COVID (symptoms of COVID-19 infection beyond 4 weeks) have focused on people hospitalized in their initial illness. Long COVID is thought to be underrecorded in UK primary care electronic records.ObjectiveWe sought to determine which symptoms people present to primary care after COVID-19 infection and whether presentation differs in people who were not hospitalized, as well as post–long COVID mortality rates.MethodsWe used routine data from the nationally representative primary care sentinel cohort of the Oxford–Royal College of General Practitioners Research and Surveillance Centre (N=7,396,702), applying a predefined long COVID phenotype and grouped by whether the index infection occurred in hospital or in the community. We included COVID-19 infection cases from March 1, 2020, to April 1, 2021. We conducted a before-and-after analysis of long COVID symptoms prespecified by the Office of National Statistics, comparing symptoms presented between 1 and 6 months after the index infection matched with the same months 1 year previously. We conducted logistic regression analysis, quoting odds ratios (ORs) with 95% CIs.ResultsIn total, 5.63% (416,505/7,396,702) and 1.83% (7623/416,505) of the patients had received a coded diagnosis of COVID-19 infection and diagnosis of, or referral for, long COVID, respectively. People with diagnosis or referral of long COVID had higher odds of presenting the prespecified symptoms after versus before COVID-19 infection (OR 2.66, 95% CI 2.46-2.88, for those with index community infection and OR 2.42, 95% CI 2.03-2.89, for those hospitalized). After an index community infection, patients were more likely to present with nonspecific symptoms (OR 3.44, 95% CI 3.00-3.95; P<.001) compared with after a hospital admission (OR 2.09, 95% CI 1.56-2.80; P<.001). Mental health sequelae were more strongly associated with index hospital infections (OR 2.21, 95% CI 1.64-2.96) than with index community infections (OR 1.36, 95% CI 1.21-1.53; P<.001). People presenting to primary care after hospital infection were more likely to be men (OR 1.43, 95% CI 1.25-1.64; P<.001), more socioeconomically deprived (OR 1.42, 95% CI 1.24-1.63; P<.001), and with higher multimorbidity scores (OR 1.41, 95% CI 1.26-1.57; P<.001) than those presenting after an index community infection. All-cause mortality in people with long COVID was associated with increasing age, male sex (OR 3.32, 95% CI 1.34-9.24; P=.01), and higher multimorbidity score (OR 2.11, 95% CI 1.34-3.29; P<.001). Vaccination was associated with reduced odds of mortality (OR 0.10, 95% CI 0.03-0.35; P<.001).ConclusionsThe low percentage of people recorded as having long COVID after COVID-19 infection reflects either low prevalence or underrecording. The characteristics and comorbidities of those presenting with long COVID after a community infection are different from those hospitalized. This study provides insights into the presentation of long COVID in primary care and implications for workload.     

Factores asociados a mala calidad de sueño en población brasilera a partir de los 40 años de edad: estudio VIGICARDIO

ObjectiveThe prevalence of poor sleep quality in men and women ≥ 40 years old from the VIGICARDIO Study was determined, and sociodemographic, health, lifestyle and social capital factors associated with poor sleep quality were identified.MethodsA population-based study conducted in 2011 among 1,058 non-institutionalised individuals randomly selected from Cambé, Paraná State, Brazil. Logistic regression was used to evaluate the association between sleep quality and sociodemographic, health, lifestyle and social capital factors in men and women.ResultsThe prevalence of poor sleep quality was 34% in men and 44% in women. Having bad/regular self-rated health status was a factor associated with poor sleep quality in men (OR: 1.79; 95% CI: 1.17-2.72) and women (OR: 2.43; 95% CI: 1.68-3.53). Being obese (OR: 1.67; 95% CI: 1.13-2.46), having depression (OR: 2.09; 95% CI: 1.41-3.13) and presenting temporal orientation difficulties (OR: 1.95; 95% CI: 1.08-3.52) were associated factors in women. Difficulty to understand what is explained (OR: 2.18; 95% CI: 1.16-4.09) and alcohol abuse (OR: 1.85; 95% CI: 1.21-2.83) were associated factors in men.ConclusionFactors affecting sleep quality are different for men and for women. These factors should be taken into consideration when devising activities that promote good sleep quality, with a view to improving their effectiveness.     

Do not resuscitate orders and aging: Impact of multimorbidity on the decision-making process

Background

The “Do Not Resuscitate” orders (DNR) are defined as advance medical directives to withhold cardiopulmonary resuscitation during cardiac arrest. Age-related multimorbidity may influence the DNR decision-making process. Our objective was to perform a systematic review and meta-analysis of published data examining the relationship between DNR orders and multimorbidity in older patients.

Methods

A systematic Medline and Cochrane literature search limited to human studies published in English and French was conducted on August 2012, with no date limits, using the following Medical Subject Heading terms: “resuscitation orders” OR “do-not-resuscitate” combined with “aged, 80 and over” combined with “comorbidities” OR “chronic diseases”.

Results

Of the 65 selected studies, 22 met the selection criteria for inclusion in the qualitative analysis. DNR orders were positively associated with multimorbidity in 21 studies (95%). The meta-analysis included 7 studies with a total of 27,707 participants and 5065 DNR orders. It confirmed that multimorbidity were associated with DNR orders (summary OR = 1.25 [95% CI: 1.19–1.33]). The relationship between DNR orders and multimorbidity differed according to the nature of morbidities; the summary OR for DNR orders was 1.15 (95% CI: 1.07–1.23) for cognitive impairment, OR=2.58 (95% CI: 2.08–3.20) for cancer, OR=1.07 (95% CI: 0.92–1.24) for heart diseases (i.e., coronary heart disease or congestive heart failure), and OR=1.97 (95% CI: 1.61–2.40) for stroke.

Conclusions

This systematic review and metaanalysis showed that DNR orders are positively associated with multimorbidity, and especially with three morbidities, which are cognitive impairment, cancer and stroke.     

Multimorbidity Patterns and 6-Year Risk of Institutionalization in Older Persons: The Role of Social Formal and Informal Care

ObjectivesThe aim was to evaluate patterns of multimorbidity that increase the risk of institutionalization in older persons, also exploring the potential buffering effect of formal and informal care.DesignProspective cohort study.Setting and ParticipantsThe population-based Swedish National study on Aging and Care in Kungsholmen, Stockholm, Sweden.MeasuresIn total, 2571 community-dwelling older adults were grouped at baseline according to their underlying multimorbidity patterns, using a fuzzy c-means cluster algorithm, and followed up for 6 years to test the association between multimorbidity patterns and institutionalization.ResultsSix patterns of multimorbidity were identified: psychiatric diseases; cardiovascular diseases, anemia, and dementia; metabolic and sleep disorders; sensory impairments and cancer; musculoskeletal, respiratory, and gastrointestinal diseases; and an unspecific pattern including diseases of which none were overrepresented. In total, 110 (4.3%) participants were institutionalized during the follow-up, ranging from 1.7% in the metabolic and sleep disorders pattern to 8.4% in the cardiovascular diseases, anemia, and dementia pattern. Compared with the unspecific pattern, only the cardiovascular diseases, anemia, dementia pattern was significantly associated with institutionalization [relative risk ratio (RRR) = 2.23; 95% confidence interval (CI) 1.07‒4.65)], after adjusting for demographic characteristics and disability status at baseline. In stratified analyses, those not receiving formal care in the psychiatric diseases pattern (RRR 3.34; 95% CI 1.20‒9.32) and those not receiving formal or informal care in the ‘cardiovascular diseases, anemia, dementia’ pattern (RRR 2.99; 95% CI 1.20‒7.46; RRR 2.79; 95% CI 1.16‒6.71, respectively) had increased risks of institutionalization.Conclusions and ImplicationsOlder persons suffering from specific multimorbidity patterns have a higher risk of institutionalization, especially if they lack formal or informal care. Interventions aimed at preventing the clustering of diseases could reduce the associated burden on residential long-term care. Formal and informal care provision may be effective strategies in reducing the risk of institutionalization.     

Sex Differences in the Associations of Handgrip Strength and Asymmetry With Multimorbidity: Evidence From the English Longitudinal Study of Ageing

ObjectivesTo determine the sex-specific associations of handgrip strength (HGS) and asymmetry with incident multimorbidity and examine whether these relationships differ by sex.DesignProspective cohort study.Setting and ParticipantsSecondary analyses of data from the English Longitudinal Study of Ageing (ELSA, waves 2-8). The analytic sample included 3977 participants (51.4% female) aged ≥50 years who had data for HGS on both hands and were living without multimorbidity at baseline.MeasuresHGS was assessed with a handheld dynamometer. Individuals in the lowest tertile of sex-specific age-adjusted HGS were defined as having low HGS. The largest HGS readings from the nondominant and dominant hand were used to calculate HGS ratio [nondominant HGS (kg)/dominant HGS (kg)]. Those with HGS ratio <0.90 or >1.10 had any HGS asymmetry. Further, those with HGS ratio <0.90 had dominant HGS asymmetry, whereas those with HGS ratio >1.10 had nondominant HGS asymmetry. Multimorbidity was defined as the coexistence of ≥2 chronic diseases. Cox proportional hazards regression models were conducted for analyses.ResultsLow HGS was associated with multimorbidity among older men [hazard ratio (HR) 1.20, 95% confidence interval (CI) 1.03-1.40] and women (HR 1.19, 95% CI 1.03-1.38). No significant effect modification by sex was observed (P-interaction = .71). HGS asymmetry increased the risk of multimorbidity in women only (HR 1.23, 95% CI 1.07-1.41). The relationship between HGS asymmetry and multimorbidity risk differed by sex (P-interaction = .01). Similarly, both dominant HGS asymmetry (HR 1.21, 95% CI 1.05-1.40) and nondominant HGS asymmetry (HR 1.32, 95% CI 1.03-1.68) were related to incident multimorbidity in women only. There was a significant interaction between dominant HGS asymmetry and sex (P-interaction = .02).Conclusions and ImplicationsExamining HGS asymmetry in HGS test protocols can provide novel insights for the predictive power of HGS in the accumulation of diseases, particularly in women.     

中国老年人不同体重状态下多病共存现状研究

目的 描述不同年龄段中国老年人不同体重状态下的多病共存情况,分析体重状态与多病共存的关系。方法 采用2002—2018年中国老年健康影响因素跟踪调查数据,以65岁及以上的老年人为研究对象,描述不同体重状态老年人群的多病共存现状,使用广义线性模型分别分析体重状态与疾病数量以及多病共存的关系,使用关联规则分析不同体重状态下的疾病组合情况。结果 共44 631名调查对象纳入分析。与正常体重人群相比,超重（β = 0.13,95%CI:0.09～0.18）及肥胖人群（β = 0.29,95%CI:0.22～0.35）所患疾病数更多,超重（OR = 1.17,95%CI:1.09～1.26）及肥胖人群（OR = 1.37,95%CI:1.23～1.53）多病共存患病风险更高。在65～79岁年龄组,功能损伤类疾病（牙齿缺损、感觉损伤及认知损伤）组合在低体重老年人群的出现频次高,关联强度大;心血管代谢类疾病（高血压、心脏疾病、卒中及糖尿病）组合在正常体重、超重以及肥胖老年人群的出现频次高;在80～94岁以及95岁以上年龄组,不论体重状态,功能损伤类疾病（牙齿缺损、感觉损伤及认知损伤）组合在老年人群的出现频次高。结论 我国老年人群多病共存现状严峻,在不同年龄段中,多病共存患病风险以及疾病组合在不同体重状态下存在差异。充分了解不同体重状态下多病共存的差异,有助于针对性地开展多病共存的管理与干预,为老年人群健康的精准管理提供依据。