Risk Of Hospitalization Research Articles

High-intensity care for GDMT titration.

Heart failure (HF) is a systemic disease associated with a high risk of morbidity, mortality, increased risk of hospitalizations, and low quality of life. Therefore, effective, systemic treatment strategies are necessary to mitigate these risks. In this manuscript, we emphasize the concept of high-intensity care to optimize guideline-directed medical therapy (GDMT) in HF patients. The document highlights the importance of achieving optimal recommended doses of GDMT medications, including beta-blockers, renin-angiotensin-aldosterone inhibitors, mineralocorticoid receptor antagonists, and sodium-glucose cotransporter inhibitors to improve patient outcomes, achieve effective, sustainable decongestion, and improve patient quality of life. The document also discusses potential obstacles to GDMT optimization, such as clinical inertia, physiological limitations, comorbidities, non-adherence, and frailty. Lastly, it also attempts to provide possible future scenarios of high-intensive care that could improve patient outcomes.

COVID-19 Vaccine Effectiveness on the Severity of Disease: A Case-control Study in Southeastern Iran

Background: Considering the importance of the effectiveness of vaccination in terms of reducing the severity of COVID-19 and mortality, knowledge of the effect of the vaccine on the severity of COVID-19 in communities is essential. Therefore, the purpose of this study was to evaluate the effect of the COVID-19 vaccine on the severity of COVID-19 in southeastern Iran (Bam region). Methods: A case-control study of a total of 2,082 adults aged >18 years was conducted to evaluate the association between hospitalization due to COVID-19 and previous vaccination with existing vaccines (including Sinopharm, AstraZeneca, and CovIran Barkat) in the country. Multinomial logistic regression was used, and relative risk (RR) and 95% confidence intervals (CIs) were calculated Results: After controlling for potential confounders, multinomial logistic regression revealed that COVID-19 vaccination reduced the likelihood of hospitalization for males and females in temporary wards (RRmen=0.22 vs. RRwomen=0.34), general wards (RRmen=0.25 vs RRwomen=0.31), and intensive care units (RRmen=0.47 vs RRwomen=0.77) (p < 0.001). The relative risk of hospitalization in all wards decreased for men and women who received Sinopharm or AstraZeneca and for women who received the Barkat vaccine, but only a significant difference was detected in the reduction in patients who received the Sinopharm vaccine (p < 0.001). Conclusion: The results showed that vaccination is related to reducing the severity of the disease in the hospital. Therefore, efforts to increase the vaccinated population can reduce the severity of COVID-19 and might reduce the need for intensive care in hospitals.

COVID-19 in patients with rheumatic diseases: frequency and course

Objectives. The aim of the study was to assess frequency and severity of COVID-19 in patients with rheumatic diseases (RD).Patients and methods. The study included information on the presence or absence of COVID-19 in the medical history of 9185 patients with immunoinflammatory RD (IIRD) and 491 patients with osteoarthritis (OA) who were observed at the V. A. Nasonova Research Institute of Rheumatology from September 21, 2021 to December 28, 2023.Results. The incidence of COVID-19 in the analyzed IIRD was significantly higher compared to OA (p<0.02). All IIRD included in the analysis are characterized by an increased risk of COVID-19 incidence when compared with OA by 1.7–3.5 times. Patients with rheumatoid arthritis, ankylosing spondylitis, Sjögren's disease, systemic sclerosis, psoriatic arthritis, systemic lupus erythematosus, microcrystalline arthritis, ANCA- associated vasculitis and poly/dermatomyositis were significantly more likely (p<0.009) to receive COVID-19 therapy compared with the control group. Patients with these diseases are characterized by an increased risk of treatment for COVID-19 by 1.7–6.5 times compared with OA. Also, patients with inflammatory joint diseases (IJD), connective tissue diseases (CTDs) and systemic vasculitis (SV) were hospitalized with COVID-19 more often than patients with OA (p=0.013, p=0.003 and p<0.001, respectively). Patients with IJD, CTDs and SV are characterized by an increased risk of hospitalization with COVID-19 by 3.5–6.8 times compared with OA. In addition, elderly patients with IIRD are characterized by an increasing risk of treatment, hospitalization and use of biologics or targeted synthetic disease-modifying drugs for COVID-19.Conclusion. According to the data obtained, the problem of COVID-19 remains very significant for patients with RD. This dictates the need to continue studying risk factors for adverse outcomes of the disease and vaccine prevention of this infectious pathology.

RSV Risk Profile in Hospitalized Adults and Comparison with Influenza and COVID-19 Controls in Valladolid, Spain, 2010-2022.

We aimed to describe the risk profile of respiratory syncytial virus (RSV) infections among adults ≥ 60years in Valladolid from January 2010 to August 2022, and to compare them with influenza and COVID-19 controls. This was a retrospective cohort study of all laboratory-confirmed RSV infections identified in centralized microbiology database during a 12-year period. We analyzed risk factors for RSV hospitalization and severity (length of stay, intensive care unit admission, in-hospital death or readmission < 30days) and compared severity between RSV patients vs. influenza and COVID-19 controls using multivariable logistic regression models. We included 706 RSV patients (635 inpatients and 71 outpatients), and 598 influenza and 60 COVID-19 hospitalized controls with comparable sociodemographic profile. Among RSV patients, 96 (15%) had a subtype identified: 56% A, 42% B, and 2% A + B. Eighty-one percent of RSV patients had cardiovascular conditions, 65% endocrine/metabolic, 46% chronic lung, and 43% immunocompromising conditions. Thirty-six percent were coinfected (vs. 21% influenza and 20% COVID-19; p = < .0001 and 0.01). Ninety-two percent had signs of lower respiratory infection (vs. 85% influenza and 72% COVID-19, p = < .0001) and 27% cardiovascular signs (vs. 20% influenza and 8% COVID-19, p = 0.0031 and 0.0009). Laboratory parameters of anemia, inflammation, and hypoxemia were highest in RSV. Among RSV, being a previous smoker (adjustedOR 2.81 [95% CI 1.01, 7.82]), coinfection (4.34 [2.02, 9.34]), and having cardiovascular (3.79 [2.17, 6.62]), neurologic (2.20 [1.09, 4.46]), or chronic lung (1.93 [1.11, 3.38]) diseases were risks for hospitalization. Being resident in care institutions (1.68 [1.09, 2.61]) or having a coinfection (1.91[1.36, 2.69]) were risks for higher severity, while RSV subtype was not associated with severity. Whereas RSV and influenza patients did not show differences in severity, RSV patients had 68% (38-84%) lower odds of experiencing any severe outcome compared to COVID-19. RSV especially affects those with comorbidities, coinfections, and living in care institutions. RSV vaccination could have an important public health impact in this population.

Diabetic Foot Osteomyelitis in Patients with and without Peripheral Arterial Disease: Two Different Diseases?

The aim of the current study was to evaluate the outcomes of patients with diabetic foot osteomyelitis (DFO), comparing subjects with and without peripheral arterial disease (PAD). The study is a prospective study including a population of patients affected by a DFO located in the forefoot. All patients were managed by a surgical conservative approach defined by the removal of the infected bone, in association with the antibiotic therapy. Patients were divided into two groups: those with PAD (neuro-ischaemic DFO) and those without (neuropathic DFO). After 1 year of follow-up, the following outcome were evaluated and compared between groups: healing, healing time, minor amputation, major amputation, hospitalization, need for surgical re-intervention. Overall, 166 patients were included, 87(52.4%) of them had neuro-ischaemic DFO and 79 (47.6%) neuropathic DFO. Patients with neuro-ischaemic DFO in comparison to neuropathic DFO were older (72.5 ± 9 vs 64.1 ± 15.5 years, P < .0001), had longer diabetes duration (21.8 ± 5.6 vs 16.4 ± 7.6 years, P < .0001), higher rate of dialysis (13.8 vs 1.3%, P = .001) and ischaemic heart disease (79.3 vs 12.7%, P < .0001). Outcomes for neuro-ischaemic DFO and neuropathic DFO were: healing (96.5 vs 97.5%, P = .7), healing time (7.8 ± 6.2 vs 5.7 ± 3.7 weeks, P = .01), minor amputation (16.1 vs 3.8%, P = .006), major amputation (0 vs 0%, ns), hospitalization (90.8 vs 51.9%, P < .0001), surgical re-intervention (14.9 vs 8.8%, P = .004) respectively. In addition, PAD resulted in an independent predictor of minor amputation, hospitalization, and surgical re-intervention. DFO in patients with PAD was characterized by longer healing time, more cases of minor amputation, hospitalization, and surgical re-intervention. PAD independently predicted the risk of minor amputation, hospitalization, and surgical re-intervention, while it was not associated with the healing rate.

Prevalence of sarcopenia among people living with HIV defined by the revised European working group on sarcopenia in older people.

Sarcopenia is a progressive and systemic skeletal muscle disorder associated with an increased risk of hospitalization and adverse effects on survival. This study aims to investigate the prevalence and related risk factors of sarcopenia in people living with HIV using the revised European Working Group on Sarcopenia in Older People (EWGSOP2) definition. This cross-sectional study comprising 379 patients with confirmed HIV infection evaluated the appendicular skeletal muscle mass by employing the bioelectrical impedance analysis method. Muscle strength and functional mobility were analyzed using the five-time sit-to-stand test and the timed "Up and Go" test. The prevalence rates of pre-sarcopenia and sarcopenia among people living with HIV were 3.4 % and 2.1 % according to the revised EWGSOP2 definition. Advanced age (Odds Ratio 1.07, p = .03), lower body mass index (Odds Ratio 0.79, p = .012) and CD4+ T-cell count below 500/μl (Odds Ratio 2.22, p = .007) were identified as significant factors associated with sarcopenia. Sarcopenia was also identified as a significant correlate of frailty (p < .001). This is the first study examining the prevalence of sarcopenia in people living with HIV according to the revised EWGSOP2 clinical algorithm. Advanced age, lower body mass index and a poor immune status are determined as promoting factors of sarcopenia. Sarcopenia significantly correlates with frailty. Standardized clinical algorithms are essential for reliable sarcopenia diagnosis in people living with HIV in order to promote intervention strategies and to prevent adverse health outcomes.

Interaction between ambient CO and temperature or relative humidity on the risk of stroke hospitalization

Although the independent effects of ambient CO, temperature or humidity on stroke have been confirmed, it is still unclear where there is an interaction between these factors and who is sensitive populations for these. The stroke hospitalization and ambient CO, temperature, humidity data were collected in 22 Counties and districts of Ningxia, China in 2014–2019. The lagged effect of ambient CO, temperature or humidity were analyze by the generalized additive model; the interaction were evaluated by the bivariate response surface model and stratified analysis with relative excessive risk (RERI). High temperature and CO levels had synergistic effects on hemorrhagic stroke (RERI = 0.05, 95% CI 0.033–0.086) and ischemic stroke (RERI = 0.035, 95% CI 0.006–0.08). Low relative humidity and CO were synergistic in hemorrhagic stroke (RERI = 0.192, 95% CI 0.184–0.205) and only in ischemic stroke in the elderly group (RERI = 0.056, 95% CI 0.025–0.085). High relative humidity and CO exhibited antagonistic effects on the risk of ischemic stroke hospitalization in both male and female groups (RERI = − 0.088, 95% CI − 0.151to − 0.031; RERI = − 0.144, 95% CI − 0.216 to − 0.197). Exposure to CO increases the risk of hospitalization related to hemorrhagic and ischemic strokes. CO and temperature or humidity interact with risk of stroke hospitalization with sex and age differences.

Effect of comprehensive geriatric assessment on hospitalizations in older adults with frailty initiating curatively intended oncologic treatment: The PROGNOSIS-RCT study

IntroductionFrailty constitutes a risk for unplanned hospitalizations in older adults with cancer. This study examines whether comprehensive geriatric assessment (CGA) as an add-on to standard oncologic care can prevent unplanned hospitalizations in older adults with frailty and cancer who initiate curative oncological treatment. Materials and MethodsThis randomized controlled trial included older adults aged ≥70 with frailty (Geriatric 8 [G8] ≤14), and solid cancers who initiated curative oncological treatment. Participants were randomized 1:1 to either standard oncologic care (control) or standard oncologic care supplemented with CGA-guided interventions (intervention). Baseline characteristics were retrieved prior to randomization. The primary endpoint, the between-group rate ratio of unplanned hospitalizations within six months of treatment initiation, was analyzed using negative binominal regression. Analyses were performed using an intention-to-treat approach, followed by per-protocol analysis, including participants receiving CGA within 30 days of randomization, and preplanned subgroup analyses based on treatment modality and Geriatric 8 screening. Secondary endpoints included acute hospital contacts, treatment adherence, and toxicity. ResultsFrom November 1, 2020 to May 31, 2023, 173 participants were enrolled. Median age was 75 (interquartile range 72–79), 51.5% were female, 58% had a G8 score > 12, and 84% had Eastern Cooperative Oncology Group performance status 0–1. The most common cancer sites were lung (23%), upper gastrointestinal (15%), and breast (13%). The rate (per person-years) of unplanned hospitalization was 1.32 in the intervention group and 1.81 in the control group, with a between-group rate ratio of 0.74 (95% confidence interval [CI] 0.45–1.23, P = 0.25) favoring the intervention. The between-group rate ratio increased in the per-protocol analysis (0.64 [95% CI 0.37–1.10, P = 0.10]). Similarly, no significant between group differences were found in treatment adherence, rate of acute hospital contacts, or toxicity. DiscussionIn this study, CGA did not significantly reduce the rate of unplanned hospitalizations. Furthermore, no between-group differences were found in treatment adherence, toxicity lead hospitalizations, or treatment completion in older adults with cancer and frailty. However, per-protocol analysis suggests that increasing adherence to CGA may improve the outcome. Larger studies ensuring higher CGA adherence are warranted to confirm our findings.

IL-17 is associated with disease severity and targetable inflammatory processes in heart failure.

Heart failure (HF) is recognized as an inflammatory disease in which cytokines play an important role. In animal HF models, interleukin-17A (IL-17) has been linked to deterioration of cardiac function and fibrosis, whereas knock-out of IL-17 showed beneficial cardiac effects. However, there is limited evidence of IL-17 involvement in patients with HF. This study aims to investigate the clinical characteristics, outcomes, and pathophysiological processes associated with circulating IL-17 concentrations in patients with HF. IL-17 was measured by ELISA in 2082 patients diagnosed with HF along with 363 circulating proteins using proximity extension assay technology for differential expression and pathway analysis. Data were validated in an independent cohort of 1737 patients with HF. Patients with elevated IL-17 concentrations had more severe HF, as reflected by more frequent current or previous hospitalizations for HF, higher New York Heart Association functional class (NYHA) and higher levels of N-terminal pro-B-type natriuretic peptide (NT-proBNP). High IL-17 concentrations were independently associated with an increased risk of hospitalization for HF and mortality. In both cohorts, the most strongly up-regulated proteins in patients with high IL-17 were fibroblast growth factor 21 (FGF-21), interleukin-6 (IL-6), C-X-C motif chemokine ligand 13 (CXCL13), tumour necrosis factor receptor superfamily member 6B (TNFRSF6B) and interleukin-1 receptor antagonist (IL-1RA). Pathway over-representation analysis showed increased activity of pathways related to lymphocyte-mediated immunity, leukocyte activation and regulation of the immune response. In patients with HF, elevated IL-17 concentrations indicate more severe HF and increased activity of inflammatory processes known to be involved in the pathophysiology of HF. IL-17 might hold potential for identifying and targeting inflammation in HF.

Medication Management Difficulty, Medication Nonadherence, and Risk of Hospitalization Among Cognitively Impaired Older Americans: A Nationally Representative Study.

Effective disease management in older adults relies on medication adherence to prevent adverse outcomes like hospitalization, particularly among those with cognitive impairment. In this study, we examined the impact of cognitive impairment on medication management, adherence, and hospitalization risk across levels of cognitive function. Analyzing data from 28,558 community-dwelling older adults, we found that those with dementia had the most difficulty managing medications (13.12%), followed by cognitive impairment without dementia (5.80%), and intact cognition (1.96%). Only persons with dementia showed a significant association between medication management difficulty and hospitalization risk (Odds Ratio [OR] = 1.71; 95% Confidence Intervals: 1.08, 2.70; p = .02). Cost-related medication nonadherence was associated with hospitalization risk solely among those with intact cognition (OR = 1.25; 95% CI: 1.07, 1.45; p = .004). Dementia was associated with higher odds of medication management difficulty and subsequently hospitalization risk, underscoring the need for resources to support medication use for this population.

Examining the effects of social assistance on suicide-related behaviour among impoverished older adults in Korea using a nationwide cohort study from 2010–2019

Suicide rates among older adults in Korea are one of the highest in the world. Although prior research found that poverty is associated with suicide mortality among older adults in Korea, it is unknown whether being a recipient of social assistance may reduce suicide risk among older adults living in poverty. We examined the impact of the public assistance program on suicide-related behaviour (SRB). Data from a nationwide cohort in the Korean National Health Insurance Database, including demographic and medical treatment information, linked to the vital statistics for 2010–19 was used. The entire Korean population born before 1951 was included (n = 7,889,086). Flexible parametric survival model was performed to assess whether the risk of SRB hospitalisation and death differed across a) different levels of socioeconomic status, and b) social assistance status among the poor, using gender-stratified models. Older age, chronic disease, poverty, and being out of the labour market were associated with higher SRB hospitalisation and death for both genders. Among those living in poverty, social assistance recipients had lower rates for SRB death and hospitalisation, compared to the low-income non-recipients. Men who were non-recipients had 0.21 higher hazards ratio (95%CI 0.20 to 0.22) for SRB deaths compared to recipients, and the difference was 0.11 (95%CI 0.10 to 0.11) in women, with similar patterns for SRB hospitalizations. Poverty was associated with higher SRB death and hospitalisation among older adults in Korea. Social assistance targeting the older population may help reduce SRB.

Implementation of a novel computer assisted telephone follow-up model for older patients after emergency department discharge in an Asian population

BackgroundWhile the impact of telephone follow-up (TFU) for older emergency department (ED) patients is controversial, its effects on the Asian population remain uncertain. In this study, we evaluated the effectiveness of a novel computer assisted TFU model specifically for this demographic.MethodsAt a Taiwanese tertiary medical center, we developed a TFU protocol that included a referral and case management system within the ED hospital information system. We provided TFU to older discharged patients between April 1, 2021, and May 31, 2021. We compared this cohort with a non-TFU cohort of older ED patients and analyzed demographic characteristics and post-ED discharge outcomes.ResultsThe TFU model was successfully implemented, with 395 patients receiving TFU and 191 without TFU. TFU patients (median age: 76 years, male proportion: 48.9%) differed from non-TFU patients (median age: 74 years, male proportion: 43.5%). Compared with the non-TFU cohort, the multivariate logistic regression analysis revealed that the TFU cohort had a lower total medical expenditure < 1 month (adjusted odds ratio [AOR]: 0.32; 95% CI: 0.21 − 0.47 for amounts exceeding 5,000 New Taiwan Dollars), and higher satisfaction (AOR: 2.80; 95% CI: 1.46 − 5.36 for scores > 3 on a five-point Likert Scale). However, the TFU cohort also had a higher risk of hospitalization < 1 month (AOR: 2.50; 95% CI: 1.31 − 4.77) compared to the non-TFU cohort.ConclusionComputer-assisted TFU appears promising. Further research involving a larger number of patients and validation in other hospitals is necessary to bolster the evidence and extend the findings to a broader context.

A Multimorbidity Analysis of Hospitalized Patients With COVID-19 in Northwest Italy: Longitudinal Study Using Evolutionary Machine Learning and Health Administrative Data.

Multimorbidity is a significant public health concern, characterized by the coexistence and interaction of multiple preexisting medical conditions. This complex condition has been associated with an increased risk of COVID-19. Individuals with multimorbidity who contract COVID-19 often face a significant reduction in life expectancy. The postpandemic period has also highlighted an increase in frailty, emphasizing the importance of integrating existing multimorbidity details into epidemiological risk assessments. Managing clinical data that include medical histories presents significant challenges, particularly due to the sparsity of data arising from the rarity of multimorbidity conditions. Also, the complex enumeration of combinatorial multimorbidity features introduces challenges associated with combinatorial explosions. This study aims to assess the severity of COVID-19 in individuals with multiple medical conditions, considering their demographic characteristics such as age and sex. We propose an evolutionary machine learning model designed to handle sparsity, analyzing preexisting multimorbidity profiles of patients hospitalized with COVID-19 based on their medical history. Our objective is to identify the optimal set of multimorbidity feature combinations strongly associated with COVID-19 severity. We also apply the Apriori algorithm to these evolutionarily derived predictive feature combinations to identify those with high support. We used data from 3 administrative sources in Piedmont, Italy, involving 12,793 individuals aged 45-74 years who tested positive for COVID-19 between February and May 2020. From their 5-year pre-COVID-19 medical histories, we extracted multimorbidity features, including drug prescriptions, disease diagnoses, sex, and age. Focusing on COVID-19 hospitalization, we segmented the data into 4 cohorts based on age and sex. Addressing data imbalance through random resampling, we compared various machine learning algorithms to identify the optimal classification model for our evolutionary approach. Using 5-fold cross-validation, we evaluated each model's performance. Our evolutionary algorithm, utilizing a deep learning classifier, generated prediction-based fitness scores to pinpoint multimorbidity combinations associated with COVID-19 hospitalization risk. Eventually, the Apriori algorithm was applied to identify frequent combinations with high support. We identified multimorbidity predictors associated with COVID-19 hospitalization, indicating more severe COVID-19 outcomes. Frequently occurring morbidity features in the final evolved combinations were age>53, R03BA (glucocorticoid inhalants), and N03AX (other antiepileptics) in cohort 1; A10BA (biguanide or metformin) and N02BE (anilides) in cohort 2; N02AX (other opioids) and M04AA (preparations inhibiting uric acid production) in cohort 3; and G04CA (Alpha-adrenoreceptor antagonists) in cohort 4. When combined with other multimorbidity features, even less prevalent medical conditions show associations with the outcome. This study provides insights beyond COVID-19, demonstrating how repurposed administrative data can be adapted and contribute to enhanced risk assessment for vulnerable populations.

Risk of Atherosclerotic Cardiovascular Disease Hospitalizations after COPD Hospitalization among Older Adults.

Meta-analyses have suggested the risk of cardiovascular disease (CVD) events is significantly higher after a chronic obstructive pulmonary disease (COPD) exacerbation. However, many of these studies have included a broad array of CVD events or have been limited to highly selected patient populations potentially not generalizable to the broader population of COPD. We assessed the risk of atherosclerotic cardiovascular disease (ASCVD)hospitalizations after COPD hospitalization compared to before COPD hospitalization and identified patient factors associated with ASCVD hospitalizations after COPD hospitalization. This retrospective cohort study used claims data from 920,550 Medicare beneficiaries hospitalized for COPD from 2016-2019 in the US. The primary outcome was risk of a ASCVD hospitalization composite outcome (myocardial infarction, percutaneous coronary intervention, coronary artery by-pass graft surgery, stroke, or transient ischemic attack) in the 30-days and 1 year after-COPD hospitalization relative to the same time period before-COPD hospitalization. Time in the before- and after-COPD hospitalization time periods to a composite ASCVD hospitalization outcome were modeled using an extension of the Cox Proportional-Hazards model, the Anderson-Gill model with adjustment for patient characteristics. Additional analyses evaluated for interactions in subgroups associated with the composite ASCVD hospitalization outcome. Among 920,550 patients in the 30-day and 1-year cohorts, (mean age, 73-74 years) the hazard ratio estimate (HR; 95% CI) for the composite ASCVD hospitalization outcome after-COPD hospitalization vs before-COPD hospitalization for the 30-day cohort was 0.99 (0.93, 1.05; p = 0.67) and for the 1-year cohort was 0.99 (0.97, 1.02; p = 0.53) following adjustment. We observed 3 subgroups that were significantly associated with higher risk for ASCVD hospitalizations 1 year after COPD hospitalization: 76+ years old, women, COPD hospitalization severity. Among Medicare beneficiaries hospitalized for COPD, the risk of ASCVD hospitalizations was not significantly increased 30-day or 1-year after COPD-hospitalization relative to before-COPD hospitalization. In sub-group analyses, we identified age 76+ years old, female sex, and COPD hospitalization severity as high risk subgroups with increased risk of ASCVD events 1-year after-COPD hospitalization. Further research is needed to characterize the COPD exacerbation populations at highest ASCVD hospitalization risk.

Impact of lower-respiratory tract infections on healthcare utilization and mortality in older adults: a Swedish population-based cohort study

BackgroundLower respiratory tract infections (LRTIs) have an immediate significant impact on morbidity and mortality among older adults. However, the impact following the infectious period of LRTI remains understudied. We aimed to assess the short- to long-term impact of LRTIs on hospitalization, mortality, and healthcare utilization in older adults.MethodsData from the Swedish National Study of Aging and Care in Kungsholmen (SNAC-K) was analyzed, with data from 2001 to 2019 for mortality and 2001–2016 for healthcare utilization. LRTI-exposed participants were identified and matched with LRTI-nonexposed based on sociodemographics, lifestyle factors, and functional and clinical characteristics. Statistical models evaluated post-LRTI hospitalization risk, days of inpatient hospital admissions, healthcare visits, and mortality.Results567 LRTIs-exposed participants during the study period and were matched with 1.701 unexposed individuals. LRTI-exposed individuals exhibited increased risk of hospitalization at 1-year (HR 2.14, CI 1.74, 2.63), 3-years (HR 1.74, CI 1.46, 2.07), and 5-years (HR 1.59, CI 1.33, 1.89). They also experienced longer post-LRTI hospital stays (IRR 1.40, CI 1.18, 1.66), more healthcare visits (IRR 1.47, CI 1.26, 1.71), specialist-care visits (IRR 1.46, CI 1.24, 1.73), and hospital admissions (IRR 1.57, CI 1.34, 1.83) compared to nonexposed participants over 16-years of potential follow-up. Additionally, the 19-year risk of mortality was higher among LRTI-exposed participants (HR 1.45, CI 1.24, 1.70). Men exhibited stronger associations with these risks compared to women.ConclusionsLRTIs pose both short- and long-term risks for older adults, including increased risks of mortality, hospitalization, and healthcare visits that transpire beyond the acute infection period, although these effects diminish over time. Men exhibit higher risks across these outcomes compared to women. Given the potential preventability of LRTIs, further public health measures to mitigate infection risk are warranted.

Prevalence of frailty and associated factors in coronary artery bypass graft surgery patients

Abstract Background Frail patients are at increased risk for postoperative delirium, complications, delayed recovery, prolonged hospital and intensive care unit stay, morbidity and mortality. The number of studies examining frailty in cardiovascular surgery patients is limited (1,2). In this context, it is important to determine the prevalence of frailty in cardiac surgery patients (3,4). Purpose This research was conducted to examine the prevalence of frailty in coronary artery bypass graft surgery patients and associated factors with frailty. Methods The research was descriptive cross-sectional type. It was conducted between 18.02.2021 and 18.02.2022 at the cardiovascular surgery department of a training and research hospital in Turkey. A total of 96 patients who had undergone coronary artery bypass graft (CABG) were included. The "Sociodemographic and Clinical Data Form" which was prepared in accordance with the literature, the "Modified Fried Frailty Index", the "Mini Nutritional Assessment Test-Short Form", the "Barthel Daily Living Activities Index", the "Charlson Comorbidity Index", and the "Montreal Cognitive Assessment Scale" were used to collect data. The data were analyzed using the SPSS 23.0 package program. Descriptive statistics, Kolmogorov-Smirnov test, Chi-square test, One Way ANOVA, Kruskal Wallis test and multinomial logistic regression analysis were used in the evaluation of the data. Results As a result of the study, the mean age of the patients was 65.65±8.72 years (min:40-max:85), 62.5% consisted of males. The majority of patients (94.8%) had comorbid diseases, most of whom had hypertension (66.7%) and diabetes mellitus (63.5%). The mean ejection fraction of the patients was normal (54.59±8.70) according to the European Society of Cardiology and the majority (80.2%) were in the preserved LVEF group. The mean EuroSCORE was intermediate (4.79±2.40) and 49% of the patients were at intermediate risk for mortality. The majority of the patients (94.8%) were in the ASA III class according to the American Society of Anaesthesiologists. Of the patients. 14.6% were determined as ‘non-frail’, 45.8% as ‘pre-frail’ and 39.6% as ‘frail’. Age, educational status, income level, beta-blocker use, nutritional status, daily living activities, cognitive status, number of comorbidities, and level of potassium, procalcitonin and creatinine were found to be associated with frailty (p&amp;lt;0.05). Malnutrition, decreased daily living activity, cognitive impairment and creatinine elevation were found to be predictors of frailty (p&amp;lt;0.05). Sociodemographic and Clinical Characteristics by Frailty Status was presented in Table 1. Conclusions More than a third of CABG patients were frail. Malnutrition, decreased daily living activity, impaired cognitive status and high creatinine levels increased the risk. It is important to assesment frail cardiac surgery patients and provide them with appropriate nursing management.

The influence of the health status and functional capacity assessment of older people with heart failure on the participation in a cardiac rehabilitation program after myocardial infarction

Abstract Background Cardiac rehabilitation (CR) after myocardial infarction (MI), conducted by a multidisciplinary team, is considered to be the most effective secondary prevention strategy. CR might be particularly beneficial in older patients, who often suffer from heart failure (HF) and other comorbidities. Low enrolment in CR programs is observed in various age groups despite the proven effectiveness of CR in the reduction of subsequent ischemic episodes, hospitalization, and mortality risk. Purpose The study aimed to analyze the impact of the health status and functional capacity assessment of elderly patients with HF using the Vulnerable Elders Survey (VES-13) scale on the willingness to participate in the CR program as part of the national Comprehensive Care Program after Myocardial Infarction. Methods The analysis of the medical records of MI patients, who were hospitalized between 2017 and 2023 and met the inclusion criteria for CR was performed. People included in the study were ≥60 years of age and had previously been diagnosed with HF. The study included 350 people who underwent VES-13 assessment during hospitalization. The median age of the studied group was 74 (IQR 68-81), with the majority of males (59.1%). Results The willingness to participate in CR was declared by 26.3% of respondents. The median VES-13 score was 3 (IQR 2-7) points and was higher in patients who did not want to participate in CR [3 (IQR 2-7) vs 2 (IQR 1-3), p &amp;lt;0.0001]. In the group of patients who scored &amp;lt;3 points in the VES-13 scale, there was a significantly higher percentage of patients declaring their willingness to participate in CR compared to the group with ≥3 points (38.8% vs 18.5%, p=0.0001). Univariate analysis showed that all parameters assessed by the VES-13 scale had a significant impact on patients' willingness to participate in CR (Figure 1). Independent factors determining patients' declaration were age, difficulties in reaching or extending arms above the shoulder level, and limitations in shopping for personal items (like toilet items or medicines) (Figure 2). Conclusion The VES-13 scale can help to identify patients with HF after MI who require additional support and motivation in the decision process to participate in coordinated care and early CR. Limitations in the everyday functioning of elderly patients with HF determine the lack of willingness to participate in CR after MI. It is necessary to carry out intensive educational and motivational activities to improve the recruitment to the CR program.

Heterogeneous effects of increased availability of alcohol on hospitalisation due to external causes. Quasi-experimental evidence from the introduction of Saturday opening at Swedish alcohol retail stores.

Responses to increased alcohol availability may vary across the population as a function of differential vulnerability. This study therefore aimed to examine the effects of the implementation of Saturday opening at the Swedish alcohol retail monopoly in 2000 on risks of hospitalisation due to external causes (HEC) among different population subgroups. Leveraging the experimental design of the reform, longitudinal difference-in-differences analyses were applied to a register-based cohort of individuals aged 20-40 at the time of implementation. The population was stratified into groups of Swedish, Finnish, and Middle Eastern origin, known to represent different levels of alcohol consumption and rates of alcohol-related morbidity. Results showed a 17.7% increase (p<0.029) in the risk of HEC among individuals of Finnish origin, as jointly caused by both increased prevalence in the experiment area and decreased prevalence in the control area. The increase was primarily driven by younger men with lower levels of education. Those of Swedish origin exhibited largely similar patterns (9.7% increase; p<0.001) while no measurable impact was observed among individuals of Middle Eastern origin (-21.4% decrease; p<0.076). The findings confirm that increasing alcohol availability contributes to the disease burden related to alcohol among population subgroups already susceptible to its effects.

At-admission prediction of mortality and pulmonary embolism in an international cohort of hospitalised patients with COVID-19 using statistical and machine learning methods

By September 2022, more than 600 million cases of SARS-CoV-2 infection have been reported globally, resulting in over 6.5 million deaths. COVID-19 mortality risk estimators are often, however, developed with small unrepresentative samples and with methodological limitations. It is highly important to develop predictive tools for pulmonary embolism (PE) in COVID-19 patients as one of the most severe preventable complications of COVID-19. Early recognition can help provide life-saving targeted anti-coagulation therapy right at admission. Using a dataset of more than 800,000 COVID-19 patients from an international cohort, we propose a cost-sensitive gradient-boosted machine learning model that predicts occurrence of PE and death at admission. Logistic regression, Cox proportional hazards models, and Shapley values were used to identify key predictors for PE and death. Our prediction model had a test AUROC of 75.9% and 74.2%, and sensitivities of 67.5% and 72.7% for PE and all-cause mortality respectively on a highly diverse and held-out test set. The PE prediction model was also evaluated on patients in UK and Spain separately with test results of 74.5% AUROC, 63.5% sensitivity and 78.9% AUROC, 95.7% sensitivity. Age, sex, region of admission, comorbidities (chronic cardiac and pulmonary disease, dementia, diabetes, hypertension, cancer, obesity, smoking), and symptoms (any, confusion, chest pain, fatigue, headache, fever, muscle or joint pain, shortness of breath) were the most important clinical predictors at admission. Age, overall presence of symptoms, shortness of breath, and hypertension were found to be key predictors for PE using our extreme gradient boosted model. This analysis based on the, until now, largest global dataset for this set of problems can inform hospital prioritisation policy and guide long term clinical research and decision-making for COVID-19 patients globally. Our machine learning model developed from an international cohort can serve to better regulate hospital risk prioritisation of at-risk patients.

Mortality and Hospitalization Risk in Solid Organ Transplant Patients and SARS-CoV-2-Omicron Variant.

Mortality and Hospitalization Risk in Solid Organ Transplant Patients and SARS-CoV-2-Omicron Variant.