Explanatory survival model for nursing home residents- a 9-year retrospective cohort study

Using hypergraphs to quantify importance of sets of diseases by healthcare resource utilisation: A retrospective cohort study

Rates of Multimorbidity (also called Multiple Long Term Conditions, MLTC) are increasing in many developed nations. People with multimorbidity experience poorer outcomes and require more healthcare intervention. Grouping of conditions by health service utilisation is poorly researched. The study population consisted of a cohort of people living in Wales, UK aged 20 years or older in 2000 who were followed up until the end of 2017. Multimorbidity clusters by prevalence and healthcare resource use (HRU) were modelled using hypergraphs, mathematical objects relating diseases via links which can connect any number of diseases, thus capturing information about sets of diseases of any size. The cohort included 2,178,938 people. The most prevalent diseases were hypertension (13.3%), diabetes (6.9%), depression (6.7%) and chronic obstructive pulmonary disease (5.9%). The most important sets of diseases when considering prevalence generally contained a small number of diseases, while the most important sets of diseases when considering HRU were sets containing many diseases. The most important set of diseases taking prevalence and HRU into account was diabetes & hypertension and this combined measure of importance featured hypertension most often in the most important sets of diseases. We have used a single approach to find the most important sets of diseases based on co-occurrence and HRU measures, demonstrating the flexibility of the hypergraph approach. Hypertension, the most important single disease, is silent, underdiagnosed and increases the risk of life threatening co-morbidities. Co-occurrence of endocrine and cardiovascular diseases was common in the most important sets. Combining measures of prevalence with HRU provides insights which would be helpful for those planning and delivering services.

Smart humancentric lighting system improves sleep efficiency of nursing home residents

The global phenomenon of population aging presents a significant challenge, affecting both the increasing number of older individuals and their duration of living with disability. Tailored care services are crucial for improving the quality of life of older adults, particularly those with disabilities residing in nursing homes. However, ensuring personalized care and mitigating the risks associated with institutionalization are essential in optimizing care quality. One particular challenge in nursing homes is maintaining residents' personal routines and addressing sleep disturbances linked to neurodegenerative disorders. Non-pharmacological interventions are increasingly recognized as preventive and management strategies for behavioral and psychiatric symptoms in nursing home residents. Sleep disruptions, such as reduced duration and increased nocturnal awakenings, are prevalent among nursing home residents. Excessive nocturnal lighting and frequent caregiver interventions contribute to these disturbances. This study aimed to investigate the impact of implementing smart humancentric lighting on the sleep efficiency of nursing home residents. Data from pressure sensors embedded in mattresses were collected to assess sleep efficiency. The findings suggest that smart humancentric lighting can significantly reduce sleep disturbances and improve sleep quality in nursing home residents. Future research should delve into specific symptoms, care burden, and psychotropic agent utilization to validate the effectiveness of this intervention.

Assessment of risk factors associated with long-term mortality in nursing homes: result from the SENIOR cohort

BACKGROUND

Previous studies on risk factors for death in nursing homes have focused on short-term observation and limited number risk factors.

AIMS

This study aims to identify factors predictive of 8-year survival in nursing homes.

METHODS

The study used the baseline measurements from the SENIOR cohort collected in 2013-2014. Data included clinical assessments (i.e., body composition, nutritional status, physical performance, level of dependence and cognition, frailty phenotype) as well as demographic information, number of medications and medical history. Mortality data were collected annually for 8 years. Univariate analyses were initially performed to assess potential predictive factors, followed by a Cox regression model using stepwise selection.

RESULTS

Of the 662 participants enrolled in the cohort, 58 (8.8%) were not further assessed due to the withdrawal of 2 nursing homes and 71 (10.7%) had no mortality data available (i.e., relocation, refusal to continue the study). Among the 533 patients included, 111 (20.8%) were still alive in 2022. Median survival time was 4 years (1.93-6.94). Multivariate regression showed that younger age (HR = 1.04 (1.03-1.06)), higher body mass index (HR = 0.96 (0.94-0.98)), higher score on the Mini-Mental State-Examination (HR = 0.97 (0.94-0.99)) and higher score on the Short Physical Performance Battery (HR = 0.93 (0.90-0.97)) were protective factors against mortality.

CONCLUSIONS

This study highlights that certain modifiable factors related to physical or mental health contribute to increased survival in nursing homes. Because of its ability to improve physical performance and partly cognitive function, promoting physical activity in nursing homes appears to be a public health priority.

Long-term association between malnutrition and all-cause mortality among older adults: A 10-years follow-up study

BACKGROUND & AIMS

Prior studies have shown an association between malnutrition and mortality. However, it is uncertain whether malnutrition assessed with the Mini Nutritional Assessment (MNA) instrument is suitable for providing long-term prognostic information regarding older adults admitted to hospital. The aim of the present study was to examine if MNA-assessed malnutrition was associated with long-term mortality in older adults admitted to hospital and for how long the association persisted.

METHODS

1768 older adults (≥65 years old) admitted to a Swedish hospital were assessed with the 18-item MNA during 2008-2009 and followed-up after 10 years. All-cause mortality (ACM) was analyzed separately for the five follow-up periods 0 to ≤2 years, >2 to ≤4 years, >4 to ≤6 years, >6 to ≤8 years, and >8 to ≤10 years using Cox regression models adjusted for important demographic, nutritional, and clinical confounders.

RESULTS

The participants were on average 78.1 years old at baseline, with 56.0% being females. At 10 years follow-up, 174 (94.1%) malnourished patients, 757 (75.9%) patients at risk of malnutrition, and 297 (50.7%) well-nourished patients had died. For all follow-up periods, malnourished patients and patients at risk of malnutrition had significantly higher risks of early death in the adjusted regression analyses when compared with well-nourished patients (all P < 0.05), with the highest risk observed for malnourished patients. For patients still alive at 8 years, the risk of death during the following two years was 2.7 times higher for patients being malnourished at baseline (P = 0.013) and 1.9 times higher for patients being at risk of malnutrition at baseline (P = 0.001), compared with patients being well-nourished at baseline.

CONCLUSIONS

MNA-assessed malnutrition is an important independent predictor of long-term mortality in older adults admitted to hospital and the association is consistent over 10 years of follow-up. In clinical practice, MNA may provide long-term prognostic information to rule out those at low risk of mortality and therefore in less need of further assessment and intervention, such that the resources can focus on those in actual need of nutritional support.

Factors Related to Nutritional Status of Single Older Residents in Semi-Mountainous Rural Regions of Japan: A Cross-Sectional Study

Japan's notably high aging rate presents the risk of malnutrition. This study aimed to clarify the nutritional status and factors related to the nutritional status of single older residents in a semi-mountainous rural region of Japan. Using a cross-sectional study design, surveys were administered to older adults in the semi-mountainous rural region in the area of Kochi Prefecture, Japan. Factors associated with a risk of malnutrition were identified using binomial logistic regression analysis. In addition, nutritional status was evaluated using the Mini Nutritional Assessment-Short Form (MNA-SF). Among 53 participants, the MNA-SF score was 12.1 ± 1.5 (mean ± standard deviation), and 71.7% had a normal nutritional status. We observed that participation in local residents' association gatherings (odds ratio [OR]: 7.42, 95% confidence interval [CI]: 1.17-47.01) and risk of depression/anxiety (OR: 12.77, 95% CI: 1.99-81.94) were associated with an increased risk of malnutrition, whereas social interaction with friends (OR: 0.11, 95% CI: 0.02-0.76) were associated with a decreased risk. The nutritional status was normal overall. Community health workers should share information on the health of residents and promote social events to enable older residents living alone to continue leading healthy lifestyles.

Comparison of Mini Nutritional Assessment-Short and Long Form to predict all-cause mortality up to 7 years in geriatric outpatients

BACKGROUND

We aimed to find out whether the Mini Nutritional Assessment-Short Form (MNA-SF) can predict mortality up to 7 years when compared with the Mini Nutritional Assessment-Long Form (MNA-LF) in geriatric outpatients.

METHODS

This retrospective study was conducted in patients (≥65 years) who were admitted to the geriatric outpatient clinic of a university hospital. MNA-SF and MNA-LF results were available for all patients. Patients were grouped as normal nutrition status (score 12-14), at risk of malnutrition (score between 8 and 11), or malnourished (score ≤7) according to MNA-SF. Based on MNA-LF, patients had normal nutrition status (score ≥24), were at risk of malnutrition (score 17-23.5), or were malnourished (score <17). Survival of the patients was assessed retrospectively.

RESULTS

The study included 209 patients (62.2% female). During the 7-year follow-up, 77 (36.8%) patients died. After adjusting for age, sex, and Charlson comorbidity index, MNA-SF was significantly associated with all-cause mortality during 6-month, 1-year, 3-year, 5-year, and 7-year follow-up time. MNA-LF was superior to MNA-SF to estimate 6-month (P = 0.004) and 1-year mortality (P = 0.031). There was no difference between MNA-SF and MNA-LF regarding 3-year, 5-year, and 7-year mortality.

CONCLUSION

MNA-SF can predict short-term and long-term mortality in geriatric outpatients as well as MNA-LF. A cut-off value of 11, indicating risk of malnutrition according to MNA-SF, may be used for the risk estimation of 1-year, 3-year, and 5-year mortality. Therefore, this study highlights the importance of screening all geriatric outpatients for malnutrition and especially the risk of malnutrition for early intervention and treatment.