The effect of frailty on survival in patients with COVID-19 (COPE): a multicentre, European, observational cohort study

Impact of COVID-19 infection on genitourinary cancer management. SOGUG-COVID-19: A spanish, multicenter, observational study

INTRODUCTION

The COVID-19 pandemic is a great burden worldwide, but its impact on patients with genitourinary cancer (GUC) is poorly characterized. This study aimed to characterize the clinical features and evolution of GUC patients affected by COVID-19 in Spain.

PATIENTS AND METHODS

SOGUG-COVID-19 was an observational ambispective non-interventional study that recruited patients with SARS-CoV-2 infection who had been treated for GUC in 32 Spanish hospitals. Data were collected from patients' medical records in a short period of time, coinciding with the first waves of COVID-19, when the mortality was also higher in the general population.

RESULTS

From November 2020 to April 2021, 408 patients were enrolled in the study. The median age was 70 years, and 357 patients (87.5%) were male. Most frequent Cancer Origin was: prostate (40.7%), urothelial (31.4%) and kidney (22.1%). Most patients (71.3%) were diagnosed at the metastatic stage, and 33.3% had poorly differentiated histology. Anticancer treatment during the infection was reported in 58.3% of patients, and 21.3% had received immunotherapy prior to or concurrent with the infection. The most frequent COVID-19 symptoms were pyrexia (49.0%), cough (38.2%) and dyspnea (31.9%). Median age was higher for patients with pneumonia (p < 0.001), patchy infiltrates (p = 0.005), ICU admission (p < 0.001) and death (p < 0.001). Tumor stage was associated with complications (p = 0.006). The fatality rate was 19.9% and the 6-month COVID-19-specific survival rate was 79.7%.

CONCLUSION

Patients with genitourinary cancers seem exceptionally vulnerable to COVID-19 regardless of tumor type or anticancer therapy. Age and tumor stage were the only identified risk factors for severe COVID-19.

Comparative Insights into COVID-19 and Tuberculosis: Clinical Manifestations, Inflammatory Markers, and Outcomes in Pulmonary Versus Extrapulmonary Tuberculosis and SARS-CoV-2 Co-Infection

Background: Tuberculosis and COVID-19 co-infection poses significant clinical challenges, with pulmonary TB (PTB) and extrapulmonary TB (extraPTB) potentially influencing disease progression and outcomes differently. This study aims to compare the clinical manifestations, inflammatory markers, and outcomes between PTB and extraPTB patients with SARS-CoV-2 co-infection. Methods: A retrospective, cross-sectional study was conducted on 55 hospitalized adults with TB-COVID-19 co-infection from March 2020 to March 2022. Patients were divided into PTB (n = 32) and extraPTB (n = 23) groups. Demographic, clinical, laboratory, and imaging data were collected and analyzed using statistical models, including ANCOVA, LASSO regression, and Random Forest classification, to identify key predictors of hospitalization duration and mortality. Results: PTB patients had significantly lower BMI, worse oxygenation status, and greater lung involvement on CT compared to extraPTB patients. CRP was elevated in PTB, while IL-6 levels were higher in extraPTB. Hospitalization duration was primarily influenced by inflammatory and coagulation markers (IL-6, D-dimer, neutrophil count, systemic inflammatory index), while higher BMI was associated with shorter stays. Mortality risk was strongly correlated with oxygenation impairment (worst SpO2, SpO2 at diagnosis), inflammatory burden (CRP, LDH), and CT severity score, rather than TB localization. Conclusions: TB localization did not independently affect hospitalization duration or mortality risk. Instead, severe lung involvement, systemic inflammation, and hypoxemia were the strongest predictors of poor outcomes. These findings emphasize the importance of early risk stratification based on respiratory and inflammatory markers to optimize patient management. Further research is needed to clarify the long-term impact of TB-COVID-19 co-infection, particularly in extraPTB cases.

Prevalence of New Frailty at Hospital Discharge in Severe COVID-19 Survivors and Its Associated Factors

BACKGROUND

The development of frailty at hospital discharge affects the clinical outcomes in severe coronavirus disease 2019 (COVID-19) survivors who had no frailty before hospitalization. We aimed to describe the prevalence of new frailty using the clinical frailty scale (CFS) and evaluate its associated factors in patients with severe COVID-19 without pre-existing frailty before hospitalization.

METHODS

We performed a secondary analysis of clinical data from a nationwide retrospective cohort collected from 22 hospitals between January 1, 2020 and August 31, 2021. The patients were at least 19 years old and survived until discharge after admission to the intensive care unit (ICU) because of severe COVID-19. Development of new frailty was defined as a CFS score ≥5 at hospital discharge.

RESULTS

Among 669 severe COVID-19 survivors without pre-existing frailty admitted to the ICU, the mean age was 65.2±12.8 years, 62.5% were male, and 50.2% received mechanical ventilation (MV). The mean CFS score at admission was 2.4±0.9, and new frailty developed in 27.8% (186/483). In multivariate analysis, older age, cardiovascular disease, CFS score of 3-4 before hospitalization, increased C-reactive protein level, longer duration of corticosteroid treatment, and use of MV and extracorporeal membrane oxygenation were identified as factors associated with new-onset frailty.

CONCLUSION

Our study suggests that new frailty is not uncommon and is associated with diverse factors in survivors of severe COVID-19 without pre-existing frailty.

Association between frailty and oral function in rheumatoid arthritis patients: A multi-center, observational study

Objectives

This study aims to investigate the association between frailty and oral function in rheumatoid arthritis (RA) patients and to identify practical markers for early frailty detection and potential intervention strategies.

Patients and methods

A multi-center observational cohort study (T-FLAG) included a total of 661 RA patients (186 males, 475 females; mean age: 68.5±13.5 years; range, 18 to 100 years) between June 2023 and August 2023. Frailty was assessed using the Kihon Checklist (KCL) (frailty: score ≥8). Oral function scores were based on Question 13 ("difficulty eating hard foods"), Question 14 ("choking"), and Question 15 ("dry mouth") of the KCL. Receiver operating characteristic (ROC) curves were generated to assess the association between frailty and oral function scores. Multivariate logistic regression was used to analyze factors associated with oral function.

Results

Among the 661 participants, 39.5% were frail. Frailty rates tended to increase with increasing oral function scores. The optimal cut-off score for oral function corresponding to frailty was 2 points, with a specificity of 89.2% and a sensitivity of 54.8%. Multivariate analysis identified age and Health Assessment Questionnaire-Disability Index (HAQ-DI) as significant factors associated with oral function decline (i.e., a total score of ≥2 for Questions 13-15 of the KCL).

Conclusion

Frailty is strongly associated with oral function decline in RA patients. This finding highlights the importance of monitoring the oral function of RA patients, since it not only reflects physical function, but also serves as a potential marker of frailty. Targeted interventions to improve oral function may play a vital role in reducing frailty risk and enhancing the overall well-being of RA patients.

Musculoskeletal diseases, infections and vaccines: state of the art, research perspectives and educational needs

Musculoskeletal disorders are a significant public health burden concern, projected to increase in the coming decades, and will substantially contribute to the rising prevalence of functional impairment, frailty and disability in a growing global population. Since persons with musculoskeletal disorders tend to have immune dysfunction, inflammation or be taking immunosuppressive medication, prevention of vaccine-preventable diseases (VPDs) in this group is particularly important. The European Interdisciplinary Council for Aging (EICA) and the European Society for Clinical and Economic Aspects of Osteoporosis, Osteoarthritis and Musculoskeletal Diseases (ESCEO) jointly convened a 2-day in-person and virtual meeting on 26-27 September 2023, to review the state of the evidence on the link between musculoskeletal diseases, infections and vaccines. We present here the Executive Summary of the proceedings of this meeting. We review the importance of physical activity in preventing or mitigating both musculoskeletal diseases and risk of infection. We summarize current knowledge of the impact of common VPDs on the development and progression of musculoskeletal diseases, and the role of selected vaccines in preventing onset and worsening of frailty and disability in these individuals. This report summarizes the evidence presented at the two-day meeting, highlighting the need to raise awareness among scientists, healthcare professionals, decision-makers, civil society and the general public about the long-term sequelae of VPDs, with focus on the health status of older patients with musculoskeletal diseases.

The instrumental value of advance directives: lesson learned from the COVID-19 pandemic for policymaking

Open conversations between patients and healthcare professionals (HCP) are required to evaluate which treatments are reasonable for the individual case, especially towards the end of life. Advance Care Planning (ACP), which often results in drafting an Advance Directive (AD), is a useful tool to help with decisions in these circumstances, but the rate of AD completion remains low. During the COVID-19 pandemic, ACP and AD gained popularity due to the alleged advantage that they could facilitate resource allocation, to the benefit of public health. In this article, which presents a theoretical reflection grounded in scientific evidence, we underline an even stronger ethical argument to support the implementation of AD in end-of-life care (eol-C) i.e. the instrumental value at the individual level. We show, with particular reference to lessons learned from the COVID-19 pandemic, that AD are instrumentally valuable in that they: (1) allow to thematise death; (2) ensure that overtreatment is avoided; (3) enable to better respect the wish of people to die at their preferred place; (4) help revive the "lost skill" of prognostication. We thus conclude that these arguments speak for promoting the territorially uniform implementation and accessibility of high-quality AD in care.

Prevention and Mitigation of Frailty Syndrome in Institutionalised Older Adults Through Physical Activity: A Systematic Review

Background/Objectives: Frailty syndrome significantly impacts the health and quality of life of institutionalised older adults, increasing the risk of adverse outcomes such as disability and mortality. This systematic review aimed to evaluate the effectiveness of physical activity interventions in preventing and mitigating frailty syndrome among institutionalised older adults and to identify key intervention characteristics influencing their effectiveness. Methods: A systematic search following PRISMA guidelines was conducted in the Web of Science, PubMed, and Cochrane databases to identify randomised controlled trials published from 2001 to June 2024. Studies involving institutionalised adults aged 60 or older, assessing the impact of physical activity interventions on frailty using validated measures, were included. A narrative synthesis approach was employed to analyse the findings due to the heterogeneity of interventions and settings. Results: Twelve randomised controlled trials comprising 1223 participants were included. Multicomponent exercise programmes-combining resistance exercises, balance, and aerobic training-consistently improved frailty indicators, including muscle strength, gait speed, and balance, among others parameters. Frailty reversal occurred in 36% of participants, with interventions showing a reduction in frailty criteria and improved functional autonomy. Programmes integrating physical activity with cognitive or nutritional components demonstrated high efficacy. The control groups showed minimal improvement, highlighting the unique impact of tailored interventions. Despite variability in intervention design, frailty was consistently shown to be reversible in pre-frail and frail individuals, where the benefits were evident including for individuals over 85 years old. Conclusions: Physical activity interventions, particularly multicomponent exercise programmes, are effective in reducing frailty and improving health outcomes in institutionalised older adults. Future research should focus on optimising intervention characteristics and exploring the long-term sustainability of benefits in diverse populations. These findings reinforce the importance of exercise as a cornerstone in frailty management.

Respiratory Muscle Dysfunction and Associated Risk Factors Following COVID-19-Related Hospitalisation

BACKGROUND

Studies have highlighted long-term respiratory muscle dysfunction in COVID-19 survivors, although the underlying risk factors remain unclear. This single-centre study assessed respiratory muscle function and individual associated factors at follow-up in patients hospitalised with COVID-19 and related acute respiratory failure.

METHODS

Data were collected for consecutive patients, aged ≥ 18 years, at the post-COVID outpatient service of Hospital Policlinico in Modena (Italy) in the time frame of 3 to 6 months after discharge. Data were analysed using single and multiple logistic regression models. Correlations among MIP/MEP, hand-grip values, and lung function were further explored.

RESULTS

Out of 223 patients (mean age 67 years, 69% male) 121 (54.3%) exhibited MIP or MEP dysfunction, which was found to be associated with the use of non-invasive ventilation (aOR = 1.91 [1.07-3.49], p = 0.04) and female gender (aOR = 1.76 [1.09-4.16], p = 0.03) as independent risk factors. A positive correlation was observed between MIP dysfunction and hand-grip strength (p = 0.03 and 0.01), whereas both MIP and MEP were significantly associated with FEV1, FVC, TLC, and DLCO.

CONCLUSIONS

Respiratory muscle dysfunction is consistently prevalent and parallels peripheral muscle weakness and the lung function level in patients at follow-up after severe COVID-19. The need for non-invasive ventilation during the acute phase and female gender might represent risk factors. MIP/MEP assessment should be recommended to observe respiratory muscle dysfunction in severe post-COVID survivors.

"Three Sides to Every Story": Living the Patient, Carer and Staff Experience of COVID

In 2020, the UK's National Health Service (NHS) braced itself for the challenge of the COVID pandemic. Older, frail adults were among those at highest risk for morbidity and mortality. This study aimed to capture the lived experiences of patients, families/carers and staff on a COVID ward. Thirty participants were included, and data collected through in-depth unstructured interviews. The data were analyzed using interpretive phenomenology. Four main themes were constructed, capturing the collective experiences of the participants. The first theme, the changing and uncertain period of time, describes the shared sense of immersion in the chaotic situation, lack of control and resulting fears related to the contagion. Secondly, challenges of care, focuses on shared anxieties and guilt related to shortcomings in care delivery, and efforts to adapt to the new situation. The third theme, communication and keeping in touch, details the effect restrictions had on efforts to maintain contact and its toll on mental health. The last theme of challenging situations in end-of-life care, reflects experiences of grief and loss shared by all three participant groups. This study adds to the growing evidence base around experiences of the COVID pandemic through exploration of the profound triangulated experience of all participants.

Impairment of the Functional Status and Decrease in Albumin in Frail Older People After a COVID-19 Outbreak: A Descriptive Study in a Long-Term Care Facility in Chile

Introduction. Frailty is a common condition among older individuals and is associated with increased vulnerability to adverse health outcomes. The COVID-19 pandemic further highlighted the impact of viral infections on frail populations. The present work aimed to determine frailty, functional and cognitive status, and clinical analysis of older persons in a long-term care facility in Chile, before and following the outbreak of COVID-19. Methods. A single-center, pre-post, and Pearson's correlational study was conducted in a cohort of 20 persons positive for COVID-19 from a total of 45 residents. Data on demographic, clinical, functional (Barthel Index (BI) and Katz) and cognitive (Mini mental Examination) status, and physiological function (hematology, lipidic and biochemical profiles) were collected. Results. The mean age was 84 ± 2.4 years, and 80% were females. The most common comorbidities were Arterial Hypertension, Diabetes Mellitus type II, and Alzheimer's disease. Physical frailty was confirmed by body weight, body mass index, and calf circumference. Pre-infection, BI was negatively correlated with lipidic profile and erythrocyte sedimentation rate (ESR), and positively with frailty (calf circumference). Pre-post analysis showed that frailty and most analytical results were not modified. However, functional dependence on daily live activities significantly increased as measured by BI, with worse grooming and bowel and bladder controls. Post-infection, correlations were lost except between BI and ESR, and decreased albumin levels were found. Conclusions. The worsening of specific functional limitations emphasizes the need for targeted interventions that can be correlated with ESR. Albumin appears as a potential biomarker for physiological dysfunction associated with their infectious/inflammatory processes.

Change in frailty among older COVID-19 survivors

INTRODUCTION

COVID-19 survivors are at greater risk for new medical conditions. Among older adults, where multimorbidity and functional impairment are common, frailty measurement provides a tool for understanding how infection impacts future health beyond a one-disease-at-a-time approach. We investigated whether COVID-19 was associated with change in frailty among older Veterans.

METHODS

Data were from the Veterans Affairs (VA) COVID-19 Observational Research Collaboratory, which extracted VA medical record data. We included Veterans who had COVID-19 from March 1, 2020, to April 30, 2021 and matched uninfected controls. We excluded those <50 years at index or did not survive 12 months after. Frailty was assessed at the index date and 12 months using the VA Frailty Index (VA-FI). We assessed the number of new VA-FI deficits over 12 months. Analysis was done by negative binomial regression adjusted for age, gender, race, ethnicity, and BMI. Coefficients are given as the ratio of the mean number of new deficits in COVID-19 cases versus controls during follow-up.

RESULTS

We identified 91,338 COVID-19-infected Veterans and an equal number of matched controls. Median (IQR) age was 68.9 years (60.3-74.2), 5% were female, 71% were White, and baseline VA-FI was 0.16 (0.10, 0.26). Median (IQR) number of new deficits at 1 year was 1 (0-2) for infected and 0 (0-1) for uninfected controls. After adjustment, those with COVID-19 accrued 1.54 (95% CI 1.52-1.56) times more deficits than those who did not. The five most common new deficits were fatigue (9.7%), anemia (6.8%), muscle atrophy (6.5%), gait abnormality (6.2%), and arthritis (5.8%).

DISCUSSION

We found a greater increase in frailty among older Veterans with COVID-19 compared with matched uninfected controls, suggesting that COVID-19 infection has long-term implications for vulnerability and disability among older adults. Functional impairments such as fatigue, impaired mobility, and joint pain may warrant specific attention in this population.

Post-acute sequelae of SARS-CoV-2 infection (Long COVID) in older adults

Long COVID, also known as PASC (post-acute sequelae of SARS-CoV-2), is a complex infection-associated chronic condition affecting tens of millions of people worldwide. Many aspects of this condition are incompletely understood. Among them is how this condition may manifest itself in older adults and how it might impact the older population. Here, we briefly review the current understanding of PASC in the adult population and examine what is known on its features with aging. Finally, we outline the major gaps and areas for research most germane to older adults.

The impact of COVID-19 infection on multiple sclerosis disease course across 12 countries: a propensity-score-matched cohort study

Background

The relationship between coronavirus disease 2019 (COVID-19) infection and multiple sclerosis (MS) relapse and disease progression remains unclear. Previous studies are limited by small sample sizes and most lack a propensity-matched control cohort.

Objective

To evaluate the effect of COVID-19 infection on MS disease course with a large propensity-matched cohort.

Design

This multi-centre cohort study analysed relapse and disability outcomes post-COVID-19 infection after balancing covariates using a propensity score matching method. The study period was from the 11th of September 2019 to the 16th of February 2023. The mean follow-up period was 1.7 years.

Methods

Data were retrieved from the MSBase Registry. Propensity scores were obtained based on age, sex, disease duration, baseline Expanded Disability Status Scale (EDSS), MS course, relapses pre-baseline, disease-modifying therapy (DMT) class and country. Primary outcomes were time to first relapse, annualised relapse rate (ARR) and time to confirm EDSS progression. Secondary outcomes were time to EDSS of 3, 4 or 6. Sensitivity analyses with baseline DMT classes were performed.

Results

The study included 2253 cases and 6441 controls. After matching, there were 2161 cases and an equal number of matched controls. Cases had a significantly higher ARR (ARR = 0.10 [95% CI 0.09-0.11]) compared to controls (ARR = 0.07 [95% CI 0.06-0.08]). Cases had a significantly greater hazard of time to first relapse compared to controls (hazard ratio (HR) = 1.54 [95% CI 1.29-1.84]). There was no association between COVID-19 infection and 24-week EDSS progression (HR = 1.18 [95% CI 0.92-1.52]), or time to EDSS of 3, 4 or 6. For patients on interferons and glatiramer acetate (BRACE), COVID-19 infection was associated with a greater hazard of time to first relapse (HR = 1.83 [95% CI 1.25-2.68]) and greater hazard of time to EDSS of 3 (HR = 2.04 [95% CI 1.06-3.90]) compared to patients on BRACE therapy without COVID-19 infection.

Conclusion

COVID-19 infection was associated with a significantly increased MS relapse rate and a shorter time to first relapse. There was no effect on confirmed EDSS progression over the short term. These results support ongoing COVID-19 risk minimisation strategies to protect patients with MS.

Impact of Frailty on COVID-19 Hospitalizations: Results from the California State Inpatient Database

OBJECTIVES

Frail patients are at greater risk of experiencing adverse clinical outcomes in any critical illness due to decreased physiologic reserves, greater susceptibility to the adverse effects of treatment, and greater needs for intensive care. In this study, we sought to assess the prevalence of frailty and associated adverse in-hospital outcomes among coronavirus disease 2019 (COVID-19) hospitalizations using the 2020 California State Inpatient Database (SID).

METHODS

For this study, we conducted a retrospective analysis of data from all COVID-19 hospital patients aged 18 years and older. We identified hospitalizations that were at high risk of frailty using the Hospital Frailty Risk Score. The primary outcome of our study was in-hospital mortality, and the secondary outcomes were prolonged length of stay, vasopressor use, mechanical ventilation, and intensive care unit admission.

RESULTS

The prevalence of frailty was 44.3% among COVID-19 hospitalizations. Using propensity score matching analysis, we found that the odds of mortality (odds ratio [OR] 4.54, 95% confidence interval [CI] 4.28-4.82), prolonged length of stay (OR 2.81, 95% CI 2.70-2.90), vasopressor use (OR 8.65, 95% CI 7.45-10.03), mechanical ventilation (OR 6.90, 95% CI 6.47-7.35), and intensive care unit admission (OR 7.17, 95% CI 6.71-7.66) were significantly higher among the group of frail patients.

CONCLUSION

Our findings show that frailty could be used for assessing and risk stratifying patients for improved hospital outcomes.

Advance Care Planning in Patients with Suspected or Proven COVID: Are We Meeting Our Own Standards?

OBJECTIVE

Given the importance of advance care planning (ACP) in the context of a pandemic, we aimed to assess current adherence to local policy recommending ACP in all hospitalised adult patients with suspected or proven COVID-19 at Liverpool Hospital, Sydney, Australia.

DESIGN

A retrospective cohort study.

SETTING

A tertiary referral and teaching hospital.

PARTICIPANTS

A select sample of adult patients admitted to Liverpool Hospital in 2019-2021 with suspected or proven COVID-19.

MAIN OUTCOME MEASURES

Proportion of patients with documented ACP and format of ACP.

RESULTS

Amongst 209 patients with proven or suspected COVID-19 hospitalised between March 2019 through to September 2021, median frailty score was 3, the median Charlson Comorbidity Score was 4, median age of the patients was 71 years, and median length of hospital stay was 5 days (range 0-98 days). Almost all patients were tested for COVID-19 (n = 207, 99%) of which 15% (31) were positive. Fewer than a quarter of the patients had documented ACPs (50, 24%) and 17 patients had existing formal advance care directives. Patients who had ACP were older, more likely to be frail and more likely to have higher rates of comorbidity compared to those without ACP. ACP was more commonly discussed with family members (41/50) than patients (25/50) and others (5/50).

CONCLUSION

Adherence to the local ACP policy mandating such discussions was low. This reinforces the need for prioritising ACP discussions, especially for unwell patients such as those with COVID, likely involving further input to improve awareness and rates of formal documentation.

Understanding the Personal Barriers of Elderly Patients for Carrying out Teleconsultations During COVID-19 Pandemic: An Observational Study

Introduction: The expansion of telehealth during the COVID-19 pandemic may widen digital divides. It is essential to better understand the use of telehealth by the elderly population for the development of equitable telehealth tools. Objectives: This study aimed to describe the socioeconomic, clinical, and functional characteristics of elderly patients who were supported by a COVID-19 telehealth program. It also investigated the characteristics associated with the need for support for teleconsultations, hospitalization, and mortality. Methods: >Elderly patients supported by the TeleCOVID-MG program, between June 2020 and December 2021, in two Brazilian municipalities (Divinópolis and Teófilo Otoni) were included. Data were collected from electronic records and through phone call interviews. Descriptive and multivariable analyses were performed. Results: Among the 237 patients,121 were women (51.1%), mean age was 70.8 years (±8.5), 121 (51.1%) had less than 4 years of formal education, 123 patients (51.9%) had two or more comorbidities, and 68 (29%) reported functional decline in activities of daily life. Age greater than 80 years (odds ratio [OR]:4.68, 95% confidence interval [CI] 1.93-11.37, p = 0.001), lower educational level (OR:3.85, 95% CI 1.8-8.21, p < 0.001), hearing (OR:5.46, 95% CI: 1.24-11.27, p = 0.019), and visual (OR:15.10, 95% CI: 3.21-71.04, p = 0.001) impairments were characteristics associated with the need for support for teleconsultations. The need for support was associated with hospitalization and mortality (OR:5.08, 95% CI: 2.35-10.98, p < 0.001). Conclusion: Older age, lower educational level, and sensory impairments may compromise the effectiveness and the safety of the telehealth assistance to the elderly population. Functional evaluation and frailty screening should be considered part of the telehealth assessment of elderly patients.

Frailty as a Predictor of COVID-19 Mortality in the South Indian Population: An Observational Study

Background Frailty is a clinical syndrome characterized by diminished strength, endurance, and physiological function that significantly increases vulnerability to adverse health outcomes, including infections. In the context of COVID-19, frailty has emerged as a critical risk factor for severe disease, complications, and mortality, particularly in older adults. The severity and fatality rates among the geriatric group were notably high, as the virus's pathogenesis, marked by prolonged inflammation, contributed to increased morbidity and mortality in this age group. The study was conducted to explore the role of frailty in influencing mortality among the elderly affected by COVID-19. Objective The objective of this study was to identify the association between frailty and mortality in COVID-19-affected elderly patients.  Methods We conducted a prospective observational study among elderly patients who tested positive for COVID-19 and received treatment in a tertiary care hospital. Data were collected from 250 patients from March 2021 to December 2021. Lab parameters, the necessity for mechanical ventilation, the need for oxygen use, and the number of days of hospital stay were recorded. The Clinical Frailty Score (CFS) was used to evaluate frailty. The chi-square test with Fisher's exact test was used to assess the association between frailty and mortality in the data set. Multivariate binary logistic regression was employed to identify the most significant predictors of mortality. Results Among the 250 patients, 159 (63.6%) survived and were discharged, while 91 (36.4%) succumbed to the illness. Fifty-eight patients were not identified as frail, and there were no deaths in the group. On the contrary, among the 192 COVID-positive patients who were identified as frail, 91 (47.4%) patients died, and 101 (52.6%) patients were alive. This depicted the association between frailty and mortality in COVID-19 geriatric patients. While assessing comorbidities, malignancy (53.3%, p-value = 0.009) and chronic kidney disease (CKD) (43.3%) had a significant association with mortality. Symptoms like fever (43.6%), dyspnea (68.6%), myalgia (20%), and altered sensorium (84%) showed a strong correlation with mortality (p<0.001). Frailty was a significant predictor of mortality, with 47.4% of frail patients not surviving (p<0.001). Biochemical markers including leukocytosis (64.8%), neutrophilia (65.3%), eosinopenia (66.9%), anemia (57.8%), hypoalbuminemia (63.5%), hypoproteinemia (70.1%), elevated alanine aminotransferase (ALT) (66%), aspartate aminotransferase (AST) (65.2%), alkaline phosphatase (ALP) (67.5%), elevated creatinine (68.9%), hypernatremia (100%), hyperkalemia (80%), and elevated D-dimer (44.7%) were all significantly linked to mortality. Additionally, patients requiring oxygen (65%), ventilation (96.8%), or bilevel positive airway pressure (BiPAP) (77.8%) had higher mortality rates. A shorter length of hospital stay was also associated with increased mortality (24%). Conclusion Frailty, combined with certain comorbidities such as cancer and CKD, along with various clinical and biochemical markers, played a significant role in predicting mortality among geriatric COVID-19 patients. Incorporating frailty assessments into routine evaluations for elderly COVID-19 survivors could be beneficial. Early detection and focused management of these high-risk factors are essential for improving outcomes in frail patients within tertiary care settings.

The association of inflammatory markers with frailty and in-hospital mortality in older COVID-19 patients

INTRODUCTION

During the COVID19 pandemic, older patients hospitalized for COVID-19 exhibited an increased mortality risk compared to younger patients. While ageing is associated with compromised immune responses and frailty, their contributions and interplay remain understudied. This study investigated the association between inflammatory markers and mortality and potential modification by frailty among older patients hospitalized for COVID-19.

METHODS

Data were from three multicenter Dutch cohorts (COVID-OLD, CliniCo, Covid-Predict). Patients were 70 years or older, hospitalized for COVID-19and categorized into three frailty groups: fit (Clinical frailty score (CFS) 1-3), pre-frail (CFS 4-5), and frail (CFS 6-9). Immunological markers (lymphocyte count, neutrophil count, C-reactive protein, neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR) and systemic inflammation index (SII)) were measured at baseline. Associations with in hospital mortality were examined using logistic regression.

RESULTS

A total of 1697 patients were included from COVID-OLD, 656 from Covid-Predict, and 574 from CliniCo. The median age was 79, 77, and 78 years for each cohort. Hospital mortality rates were 33 %, 27 % and 39 % in the three cohorts, respectively. A lower CRP was associated with a higher frailty score in all three cohorts (all p < 0.01). Lymphocyte count, neutrophil count, NLR, PLR, or SII, were similar across frailty groups. Higher CRP levels were associated with increased in-hospital mortality risk across all frailty groups, across all cohorts (OR (95 % CI), 2.88 (2.20-3.78), 3.15 (1.95-5.16), and 3.28 (1.87-5.92)), and frailty did not modify the association between inflammatory markers and in-hospital mortality (all p-interaction>0.05).

CONCLUSION

While frailty is a significant factor in determining overall outcomes in older patients, our study suggests that the elevated risk of mortality in older patients with frailty compared to fit patients is likely not explained by difference in inflammatory responses.

Clinical characteristics, treatment, and outcomes for elderly patients in a dedicated Covid-19 ward at a primary health care facility in western Norway: a retrospective observational study

BACKGROUND

The coronavirus pandemic has hit the oldest and frailest individuals hard, particularly patients and residents in nursing homes. In March 2020, we established a Covid-19 ward at a nursing home in Bergen, western Norway for elderly patients with Sars-CoV-2 infection and in the need of treatment and care in a primary health care facility. The aims of this study were to describe the organization of the ward, the clinical outcomes of infection, treatment, mortality rates in the population, the level of advanced care planning, and end-of-life care for those who died.

METHODS

We present patient characteristics, outcomes, vaccination status, treatment, decisions regarding treatment intensity upon clinical deterioration, and mortality for the patients in the ward. Clinical factors possibly related to a fatal outcome were analysed with chi square test (categorical variables) or t-test (continuous variables).

RESULTS

257 patients were included from March 2020 to April 2022. Fifty-nine patients (23.0%) developed respiratory failure. Ten patients (3.9%) were admitted to hospital. Advance care planning was undertaken for 245 (95.3%) of the patients. 30-day mortality rate decreased from 42 to 4% during the study period. Of the 29 (11.3%) patients who died, all were well alleviated in the terminal phase, and 26 (89.7%) of them had a Clinical Frailty Scale (CFS) value ≥ 7. A high score for CFS, respiratory failure and respiratory co-infection were significantly associated with Covid-19 related death within 30 days.

CONCLUSIONS

Covid-19-related mortality markedly decreased during the study period, and a high score for CFS was related to a fatal outcome. Thorough planning of treatment intensity upon deterioration, low hospitalization rates, and good relief for those who died suggest that dedicated Covid-19 wards in nursing homes can provide good treatment for the patients and relieve other nursing homes and specialist health care services.

Predictors of older adults' health behaviours to prevent COVID-19 transmission: a multilevel analysis

OBJECTIVES

While older adults showed higher mortality during COVID-19 pandemic, protective behaviours (knowledge regarding coping with COVID-19 symptoms and preventive behaviours) were highlighted to be important to prevent the spread of infection. This study aimed to identify individual and community-level variables influencing deficient knowledge regarding coping with COVID-19 and not-practicing COVID-19 of older adults during the pandemic.

DESIGN

This is a secondary analysis of a cross-sectional study using the 2020 Korea Community Health Survey (KCHS).

SETTING

255 community public health centres nationwide, South Korea.

METHODS AND ANALYSIS

Using 2020 KCHS data, multilevel logistic regression analysis was conducted on 55 005 adults aged 65 years or older.

RESULTS

Older adults who reside alone, as opposed to with their spouse and who lack the support of another individual exhibited insufficient COVID-19 coping-related knowledge (OR: 1.142, p<0.001) and poor preventive behaviours (OR: 1.177, p<0.001). Furthermore, lower municipal social welfare budget levels were associated with worse health behaviours (OR: 0.062, p<0.001). Specifically, older adults living in rural areas were less likely to engage in COVID-19 preventive behaviours compared with those in urban areas (OR: 1.247, p<0.001). Additionally, the effectiveness of mass media as a motivating factor for adopting preventive measures was only significant in rural populations (OR: 0.944, p<0.05).

CONCLUSIONS

Both individual-level and community-level approaches are necessary as an initial response during the pandemic. Since elderly people living alone with low socioeconomic status are vulnerable groups with poor health behaviours, it is helpful to provide social support on how to respond to infectious diseases and manage symptoms. In addition, it is important to expand the municipal social welfare budget to promote health equity between regions through appropriate health behaviour education and the strengthening of public medical services.

The Clinical Frailty Scale for Risk Stratification in Patients With Fibrotic Interstitial Lung Disease

BACKGROUND

Previous studies have shown the importance of frailty in patients with fibrotic interstitial lung disease (ILD).

RESEARCH QUESTION

Is the Clinical Frailty Scale (CFS) a valid tool to improve risk stratification in patients with fibrotic ILD?

STUDY DESIGN AND METHODS

Patients with fibrotic ILD were included from the prospective multicenter Canadian Registry for Pulmonary Fibrosis. The CFS was assessed using available information from initial ILD clinic visits. Patients were stratified into fit (CFS score 1-3), vulnerable (CFS score 4), and frail (CFS score 5-9) subgroups. Cox proportional hazards and logistic regression models with mixed effects were used to estimate time to death or lung transplantation. A derivation and validation cohort was used to establish prognostic performance. Trajectories of functional tests were compared using joint models.

RESULTS

Of the 1,587 patients with fibrotic ILD, 858 (54%) were fit, 400 (25%) were vulnerable, and 329 (21%) were frail. Frailty was a risk factor for early mortality (hazard ratio, 5.58; 95% CI, 3.64-5.76, P < .001) in the entire cohort, in individual ILD diagnoses, and after adjustment for potential confounders. Adding frailty to established risk prediction parameters improved the prognostic performance in derivation and validation cohorts. Patients in the frail subgroup had larger annual declines in FVC % predicted than patients in the fit subgroup (-2.32; 95% CI, -3.39 to -1.17 vs -1.55; 95% CI, -2.04 to -1.15, respectively; P = .02).

INTERPRETATION

The simple and practical CFS is associated with pulmonary and physical function decline in patients with fibrotic ILD and provides additional prognostic accuracy in clinical practice.

COVID-19-Associated Outcomes of Critical Illness in Patients with Frailty: a Cohort Study

Background

Pre-admission frailty has been associated with higher hospital mortality in patients with critical illness. We aimed to measure the prevalence of frailty and its associated outcomes in patients with COVID-19 critical illness.

Methods

A historical cohort study of all adults admitted to ICU with a pneumonia diagnosis in Alberta, Canada between May 1, 2020, and October 31, 2020. At ICU admission patients were routinely assessed for frailty using the Clinical Frailty Scale (CFS). Frailty was defined as a CFS score ≥5. Primary outcomes were pre-admission frailty prevalence and hospital mortality.

Results

The cohort (n=521) prevalence of frailty was 34.2% (n=178), mean (SD) age was 58.8 (14.9) years, APACHE II 22.8 (8.0), and 39.5% (n=206) were female. COVID-19 pneumonia was diagnosed in (19.0%; n=99) admissions; pre-admission frailty was present in 20.2% (n=20) vs. 79.8% (n=79) non-frail (p<.001). Among ICU patients admitted with COVID-19, hospital mortality in frail patients was 35.4% (n=63) vs. 14.0% (n=48) in non-frail (p<.001).

Conclusion

Pre-admission frailty was present in 20.2% of COVID-19 ICU admissions and was associated with higher risk of hospital mortality. Frailty assessment may yield valuable prognostic information when considering COVID-19 ICU admission; however, further study is needed to identify effect on patient-centred outcomes in this heterogeneous population.

Preparing for future pandemics: frailty associates with mortality in hospitalised older people during the entire COVID-19 pandemic, a Dutch multicentre cohort study

PURPOSE

Viral mutations and improved prevention or treatment options may have changed the association of frailty with mortality throughout the COVID-19 pandemic. We investigated how associations of frailty with in-hospital mortality changed throughout the pandemic in older people hospitalised for COVID-19.

METHODS

The COVID-OLD study included COVID-19 patients aged ≥ 70 years hospitalised during the first (early 2020), second (late 2020), third (late 2021) or fourth wave (early 2022). Based on the clinical frailty scale, patients were categorised as fit (1-3), pre-frail (4-5) or frail (6-9). Associations of frailty with in-hospital mortality were assessed with pairwise comparisons with fit as reference category and modelled using binary logistic regression adjusted for age and sex.

RESULTS

This study included 2362 patients (mean age 79.7 years, 60% men). In the first wave, in-hospital mortality was 46% in patients with frailty and 27% in fit patients. In-hospital mortality decreased in each subsequent wave to 25% in patients with frailty and 11% in fit patients in the fourth wave. After adjustments, an overall higher risk of in-hospital mortality was found in frail (OR 2.26, 95% CI: 1.66-3.07) and pre-frail (OR 1.73, 95% CI: 1.27-2.35) patients compared to fit patients, which did not change over time (p for interaction = 0.74).

CONCLUSIONS

Frailty remained associated with a higher risk of in-hospital mortality throughout the entire COVID-19 pandemic, although overall in-hospital mortality rates decreased. Frailty therefore remains a relevant risk factor in all stages of a pandemic and is important to consider in prevention and treatment guidelines for future pandemics.

Association of Frailty With Risk of Incident Hospital-Treated Infections in Middle-Aged and Older Adults: A Large-Scale Prospective Cohort Study

BACKGROUND

Although frailty is associated with a range of adverse health outcomes, its association with the risk of hospital-treated infections is uncertain.

METHODS

A total of 416 220 participants from the UK Biobank were included in this prospective cohort study. Fried phenotype was adopted to evaluate frailty, which included 5 aspects (gait speed, physical activity, grip strength, exhaustion, and weight). More than 800 infectious diseases were identified based on electronic health records. Cox proportional models were used to estimate the associations.

RESULTS

During a median 12.3 years (interquartile range 11.4-13.2) of follow-up (4 747 345 person-years), there occurred 77 988 (18.7%) hospital-treated infections cases. In the fully adjusted model, compared with participants with nonfrail, the hazard ratios (HRs) (95% confidence intervals [CIs]) of those with prefrail and frail for overall hospital-treated infections were 1.22 (1.20, 1.24) and 1.78 (1.72-1.84), respectively. The attributable risk proportion of prefrail and frail were 18.03% and 43.82%. Similarly, compared to those without frailty, the HRs (95% CIs) of those with frailty for bacterial infections were 1.76 (1.70-1.83), for viral infections were 1.62 (1.44-1.82), and for fungal infections were 1.75 (1.47-2.08). No association was found between frailty and parasitic infections (HR: 1.17; 95% CI: 0.62-2.20).

CONCLUSIONS

Frailty was significantly associated with a higher risk of hospital-treated infections, except for parasitic infections. Studies evaluating the effectiveness of implementing frailty assessments are needed to confirm our results.

Association Between Barthel's Index Change and All-Cause Mortality Among COVID-19 Pneumonia Patients Aged Over 80 Years Old: A Retrospective Cohort Study

Purpose

It has been shown that lower Barthel's index (BI) at admission is associated with a higher in-hospital mortality. There is a lack of evidence regarding the association between the change in BI during hospitalization and mortality after discharge. Our purpose was to determine whether the BI change during hospitalization is associated with all-cause mortality in older adults with COVID-19 pneumonia.

Patients and Methods

We conducted a retrospective cohort study of 330 participants at Peking University Third Hospital during the COVID-19 pandemic period. In order to analyze the time to death data, a Kaplan-Meier survival curve was used. We used restricted cubic splines to analyze the association between BI change and all-cause mortality among COVID-19 pneumonia patients aged over 80 years old. Threshold effect analysis was used to assess the ability of BI change score to predict all-cause mortality.

Results

Our study included 330 patients aged over 80 years with COVID-19 pneumonia. The Kaplan-Meier curve for mortality showed significantly worst survival with reduced BI among three groups (χ2= 6.896, P < 0.05). There was a non-linear association between the BI change and all-cause mortality (P for all over <0.001). The effect sizes on the left and right sides of the inflection point were 0.958 (HR: 0.958, 95% CI 0.932-0.958, P < 0.05) and 1.013 (HR: 1.013, 95% CI 0.967-1.062, P > 0.05), respectively.

Conclusion

Reduced BI during hospitalization was associated with the highest mortality risk. It is crucial to monitor BI change among COVID-19 pneumonia patients aged over 80 years old.

Safety of High-Dose Vitamin C in Non-Intensive Care Hospitalized Patients with COVID-19: An Open-Label Clinical Study

Background: Vitamin C has been used as an antioxidant and has been proven effective in boosting immunity in different diseases, including coronavirus disease (COVID-19). An increasing awareness was directed to the role of intravenous vitamin C in COVID-19. Methods: In this study, we aimed to assess the safety of high-dose intravenous vitamin C added to the conventional regimens for patients with different stages of COVID-19. An open-label clinical trial was conducted on patients with COVID-19. One hundred four patients underwent high-dose intravenous administration of vitamin C (in addition to conventional therapy), precisely 10 g in 250 cc of saline solution in slow infusion (60 drops/min) for three consecutive days. At the same time, 42 patients took the standard-of-care therapy. Results: This study showed the safety of high-dose intravenous administration of vitamin C. No adverse reactions were found. When we evaluated the renal function indices and estimated the glomerular filtration rate (eGRF, calculated with the CKD-EPI Creatinine Equation) as the main side effect and contraindication related to chronic renal failure, no statistically significant differences between the two groups were found. High-dose vitamin C treatment was not associated with a statistically significant reduction in mortality and admission to the intensive care unit, even if the result was bound to the statistical significance. On the contrary, age was independently associated with admission to the intensive care unit and in-hospital mortality as well as noninvasive ventilation (N.I.V.) and continuous positive airway pressure (CPAP) (OR 2.17, 95% CI 1.41-3.35; OR 7.50, 95% CI 1.97-28.54; OR 8.84, 95% CI 2.62-29.88, respectively). When considering the length of hospital stay, treatment with high-dose vitamin C predicts shorter hospitalization (OR -4.95 CI -0.21--9.69). Conclusions: Our findings showed that an intravenous high dose of vitamin C is configured as a safe and promising therapy for patients with moderate to severe COVID-19.

Frailty Indices and Their Importance in Elderly Patients: A Perspective Review

The aging demographic landscape of the United States highlights a concomitant rise in chronic conditions and infectious diseases. Older adults face a heightened susceptibility to infections, particularly pneumonia and urinary tract infections, and comorbidities such as cancer, cardiovascular disease, and dementia. Frailty, defined by a set of phenotypic criteria, emerges as a crucial predictor of adverse outcomes in infections, affecting hospitalization and post-care interventions. In the context of cancer, various frailty indices demonstrate their utility in predicting complications, mortality, and long-term outcomes. Cardiovascular diseases, including acute coronary syndrome and myocardial infarctions, exhibit varied associations with frailty, influencing both short-term and long-term prognosis. Frailty's impact extends to valvular heart disease, necessitating risk assessment and tailored care. In dementia patients, frailty is linked to cognitive decline, mortality, depression, and reduced daily living activities, emphasizing the need for holistic assessment and intervention. This review explores the role of frailty indices in predicting outcomes across diverse health conditions, with a focus on infections, cancer, cardiovascular disease, and dementia. Future interventions should address the role of frailty in predicting poor prognostic outcomes, including mortality, readmission rates, and complications across diverse health conditions.

Frailty in severe COVID-19 survivors after ICU admission. A prospective and multicenter study in Mexico

OBJECTIVE

To analyze the presence of frailty in survivors of severe COVID-19 admitted in the Intensive Care Unit (ICU) and followed six months after discharge.

DESIGN

An observational, prospective and multicenter, nation-wide study.

SETTING

Eight adult ICU across eight academic acute care hospitals in Mexico.

PATIENTS

All consecutive adult COVID-19 patients admitted in the ICU with acute respiratory failure between March 8, 2020 to February 28, 2021 were included. Frailty was defined according to the FRAIL scale, and was obtained at ICU admission and 6-month after hospital discharge.

INTERVENTIONS

None.

MAIN VARIABLES OF INTEREST

The primary endpoint was the frailty status 6-months after discharge. A regression model was used to evaluate the predictors during ICU stay associated with frailty.

RESULTS

196 ICU survivors were evaluated for basal frailty at ICU admission and were included in this analysis. After 6-months from discharge, 164 patients were evaluated for frailty: 40 patients (20.4%) were classified as non-frail, 67 patients (34.2%) as pre-frail and 57 patients (29.1%) as frail. After adjustment, the need of invasive mechanical ventilation was the only factor independently associated with frailty at 6 month follow-up (Odds Ratio [OR] 3.70, 95% confidence interval 1.40-9.81, P = .008).

CONCLUSIONS

Deterioration of frailty was reported frequently among ICU survivors with severe COVID-19 at 6-months. The need of invasive mechanical ventilation in ICU survivors was the only predictor independently associated with frailty.

The relationship between comprehensive geriatric assessment on the pneumonia prognosis of older adults: a cross-sectional study

BACKGROUND

The mortality of pneumonia in older adults surpasses that of other populations, especially with the prevalence of coronavirus disease 2019 (COVID-19). Under the influence of multiple factors, a series of geriatric syndromes brought on by age is one of the main reasons for the poor prognosis of pneumonia. This study attempts to analyze the impact of geriatric syndrome on the prognosis of pneumonia.

METHODS

This is a prospective cross-sectional study. Patients over 65 years old with COVID-19 and severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)-negative community-acquired pneumonia (SN-CAP) were included in the research. General characteristics, laboratory tests, length of stay (LOS), and comprehensive geriatric assessment (CGA) were collected. Multivariate regression analysis to determine the independent predictors of the severity, mortality, and LOS of COVID-19. At the same time, the enrolled subjects were divided into three categories by clustering analysis of 10 CGA indicators, and their clinical characteristics and prognoses were analyzed.

RESULTS

A total of 792 subjects were included in the study, including 204 subjects of SN-CAP (25.8%) and 588 subjects (74.2%) of COVID-19. There was no significant difference between non-severe COVID-19 and SN-CAP regarding mortality, LOS, and CGA (P > 0.05), while severe COVID-19 is significantly higher than both (P < 0.05). The Barthel Index used to assess the activities of daily living was an independent risk factor for the severity and mortality of COVID-19 and linearly correlated with the LOS (P < 0.05). The cluster analysis based on the CGA indicators divided the geriatric pneumonia patients into three groups: Cluster 1 (n = 276), named low ability group, with the worst CGA, laboratory tests, severity, mortality, and LOS; Cluster 3 (n = 228), called high ability group with the best above indicators; Cluster 2 (n = 288), named medium ability group, falls between the two.

CONCLUSION

The Barthel Index indicates that decreased activities of daily living are an independent risk factor for the severity, mortality, and LOS of geriatric COVID-19. Geriatric syndrome can help judge the prognosis of pneumonia in older adults.

Intubation Decision Based on Illness Severity and Mortality in COVID-19: An International Study

OBJECTIVES

To evaluate the impact of intubation timing, guided by severity criteria, on mortality in critically ill COVID-19 patients, amidst existing uncertainties regarding optimal intubation practices.

DESIGN

Prospective, multicenter, observational study conducted from February 1, 2020, to November 1, 2022.

SETTING

Ten academic institutions in the United States and Europe.

PATIENTS

Adults (≥ 18 yr old) confirmed with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection and hospitalized specifically for COVID-19, requiring intubation postadmission. Exclusion criteria included patients hospitalized for non-COVID-19 reasons despite a positive SARS-CoV-2 test.

INTERVENTIONS

Early invasive mechanical ventilation (EIMV) was defined as intubation in patients with less severe organ dysfunction (Sequential Organ Failure Assessment [SOFA] < 7 or Pa o2 /F io2 ratio > 250), whereas late invasive mechanical ventilation (LIMV) was defined as intubation in patients with SOFA greater than or equal to 7 and Pa o2 /F io2 ratio less than or equal to 250.

MEASUREMENTS AND MAIN RESULTS

The primary outcome was mortality within 30 days of hospital admission. Among 4464 patients, 854 (19.1%) required mechanical ventilation (mean age 60 yr, 61.7% male, 19.3% Black). Of those, 621 (72.7%) were categorized in the EIMV group and 233 (27.3%) in the LIMV group. Death within 30 days after admission occurred in 278 patients (42.2%) in the EIMV and 88 patients (46.6%) in the LIMV group ( p = 0.28). An inverse probability-of-treatment weighting analysis revealed a statistically significant association with mortality, with patients in the EIMV group being 32% less likely to die either within 30 days of admission (adjusted hazard ratio [HR] 0.68; 95% CI, 0.52-0.90; p = 0.008) or within 30 days after intubation irrespective of its timing from admission (adjusted HR 0.70; 95% CI, 0.51-0.90; p = 0.006).

CONCLUSIONS

In severe COVID-19 cases, an early intubation strategy, guided by specific severity criteria, is associated with a reduced risk of death. These findings underscore the importance of timely intervention based on objective severity assessments.

Lingering effects of COVID-19 in the care of perioperative patients

PURPOSE OF REVIEW

Coronavirus disease 2019 (COVID-19), caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), can lead to organ dysfunction and clinical symptoms beyond the acute infection phase. These effects may have significant implications for the management of perioperative patients. The purpose of this article is to provide a systems-based approach to the subacute and chronic effects of SARS-CoV-2 that are most relevant to anesthesiology practice.

RECENT FINDINGS

In 2024, COVID-19 remains a concern for anesthesiologists due ongoing new infections, evolving viral strains, and relatively low rates of booster vaccination in the general population. A growing body of literature describes the post-COVID-19 syndrome in which patients experience symptoms more than 12 weeks after acute infection. Recent literature describes the lingering effects of SARS-CoV-2 infection on all major organ systems, including neurologic, pulmonary, cardiovascular, renal, hematologic, and musculoskeletal, and suggests an increased perioperative mortality risk in some populations.

SUMMARY

This review offers anesthesiologists an organ system-based approach to patients with a history of COVID-19. Recognizing the long-term sequelae of SARS-CoV-2 infection can help anesthesiologists to better evaluate perioperative risk, anticipate clinical challenges, and thereby optimize patient care.

A deep learning-based radiomics model for predicting lymph node status from lung adenocarcinoma

OBJECTIVES

At present, there are many limitations in the evaluation of lymph node metastasis of lung adenocarcinoma. Currently, there is a demand for a safe and accurate method to predict lymph node metastasis of lung cancer. In this study, radiomics was used to accurately predict the lymph node status of lung adenocarcinoma patients based on contrast-enhanced CT.

METHODS

A total of 503 cases that fulfilled the analysis requirements were gathered from two distinct hospitals. Among these, 287 patients exhibited lymph node metastasis (LNM +) while 216 patients were confirmed to be without lymph node metastasis (LNM-). Using both traditional and deep learning methods, 22,318 features were extracted from the segmented images of each patient's enhanced CT. Then, the spearman test and the least absolute shrinkage and selection operator were used to effectively reduce the dimension of the feature data, enabling us to focus on the most pertinent features and enhance the overall analysis. Finally, the classification model of lung adenocarcinoma lymph node metastasis was constructed by machine learning algorithm. The Accuracy, AUC, Specificity, Precision, Recall and F1 were used to evaluate the efficiency of the model.

RESULTS

By incorporating a comprehensively selected set of features, the extreme gradient boosting method (XGBoost) effectively distinguished the status of lymph nodes in patients with lung adenocarcinoma. The Accuracy, AUC, Specificity, Precision, Recall and F1 of the prediction model performance on the external test set were 0.765, 0.845, 0.705, 0.784, 0.811 and 0.797, respectively. Moreover, the decision curve analysis, calibration curve and confusion matrix of the model on the external test set all indicated the stability and accuracy of the model.

CONCLUSIONS

Leveraging enhanced CT images, our study introduces a noninvasive classification prediction model based on the extreme gradient boosting method. This approach exhibits remarkable precision in identifying the lymph node status of lung adenocarcinoma patients, offering a safe and accurate alternative to invasive procedures. By providing clinicians with a reliable tool for diagnosing and assessing disease progression, our method holds the potential to significantly improve patient outcomes and enhance the overall quality of clinical practice.

Colliding Challenges: An Analysis of SARS-CoV-2 Infection in Patients with Pulmonary Tuberculosis versus SARS-CoV-2 Infection Alone

Background and Objectives: The concurrent occurrence of tuberculosis and COVID-19 coinfection poses significant clinical complexities, warranting a nuanced approach to diagnosis, management, and patient care. Materials and Methods: A retrospective, cross-sectional study was conducted on two groups: one comprising 32 patients with pulmonary TB (PTB) and COVID-19 co-infection, and one including 100 patients with COVID-19 alone. Data was collected from medical records, including patient history, clinical parameters, laboratory, imaging results, and patient outcome. Results: A lower BMI emerges as a significant marker suggesting underlying PTB in patients with SARS-CoV-2 co-infection. Type 2 diabetes mellitus increases the risk of death in PTB-SARS-CoV-2 co-infection. Co-infected patients show lymphocytopenia and higher neutrophil levels, CRP, transaminases, and D-dimer levels. Elevated CRP and ALT levels are linked to increased co-infection likelihood. Certain parameters like SpO2, CRP, ALT, AST, and D-dimer effectively differentiate between co-infected and COVID-19 patients. Platelet-to-lymphocyte ratio is notably higher in co-infected individuals. Lesion severity on imaging is significantly associated with co-infection, highlighting imaging's diagnostic importance. Longer hospital stays are linked to co-infection but not significantly to death risk. Conclusions: Certain clinical and biological factors may serve as potential indicators of PTB co-infection in patients with SARS-CoV-2.

Analysis of the fight against the COVID-19 pandemic in long-term care facilities in the pre-vaccination period

INTRODUCTION

The COVID-19 pandemic has disproportionately affected individuals residing in Long-Term Care Facilities (LTCFs), necessitating tailored strategies to manage outbreaks. This study examines the outcomes of the ILPI BH project, a collaborative effort between the Municipal Health Department and the Hospital das Clínicas of the Federal University of Minas Gerais, designed to mitigate COVID-19 spread within LTCFs.

METHODS

Prospective cohort of secondary data: 1,794 old residents in 99 long-term care facilities of Belo Horizonte, Brazil, were followed from May 2020 to January 2021. The study analyzed the prevention strategies, residents' clinical data, and the characteristics of the long-term care facilities, correlating these variables with the number of infections, hospitalizations, and deaths from COVID-19. It checked absolute numbers and rates of incidence, hospitalization, mortality, and lethality.

RESULTS

There have been 58 COVID-19 outbreaks in long-term care facilities. There were 399 cases among residents, 96 hospitalizations for COVID-19 and 48 deaths from COVID-19 (2.7 % of the cohort), with a case fatality rate of 12 %. After multivariate analysis, the intrinsic variables to residents associated with higher mortality risk were higher degree of frailty (OR=1.08; p = 0.004) and the fact of living in a long-term care facility with a considerable proportion of residents' coverage by health plans (OR = 1.01; p = 0.028). Early geriatric follow-up showed an association with a reduction in the number of hospitalizations due to COVID-19.

CONCLUSION

The correct classification of the degree of frailty of institutionalized older people seems to have been relevant for predicting mortality from COVID-19. The extensive assistance by private health plans, contrary to what is supposed, did not result in better health protection. Early geriatric follow-up was beneficial and may be an attractive strategy in the face of health emergencies that affect long-term care facilities to reduce hospital admissions.

External validation of six COVID-19 prognostic models for predicting mortality risk in older populations in a hospital, primary care, and nursing home setting

OBJECTIVES

To systematically evaluate the performance of COVID-19 prognostic models and scores for mortality risk in older populations across three health-care settings: hospitals, primary care, and nursing homes.

STUDY DESIGN AND SETTING

This retrospective external validation study included 14,092 older individuals of ≥70 years of age with a clinical or polymerase chain reaction-confirmed COVID-19 diagnosis from March 2020 to December 2020. The six validation cohorts include three hospital-based (CliniCo, COVID-OLD, COVID-PREDICT), two primary care-based (Julius General Practitioners Network/Academisch network huisartsgeneeskunde/Network of Academic general Practitioners, PHARMO), and one nursing home cohort (YSIS) in the Netherlands. Based on a living systematic review of COVID-19 prediction models using Prediction model Risk Of Bias ASsessment Tool for quality and risk of bias assessment and considering predictor availability in validation cohorts, we selected six prognostic models predicting mortality risk in adults with COVID-19 infection (GAL-COVID-19 mortality, 4C Mortality Score, National Early Warning Score 2-extended model, Xie model, Wang clinical model, and CURB65 score). All six prognostic models were validated in the hospital cohorts and the GAL-COVID-19 mortality model was validated in all three healthcare settings. The primary outcome was in-hospital mortality for hospitals and 28-day mortality for primary care and nursing home settings. Model performance was evaluated in each validation cohort separately in terms of discrimination, calibration, and decision curves. An intercept update was performed in models indicating miscalibration followed by predictive performance re-evaluation.

MAIN OUTCOME MEASURE

In-hospital mortality for hospitals and 28-day mortality for primary care and nursing home setting.

RESULTS

All six prognostic models performed poorly and showed miscalibration in the older population cohorts. In the hospital settings, model performance ranged from calibration-in-the-large -1.45 to 7.46, calibration slopes 0.24-0.81, and C-statistic 0.55-0.71 with 4C Mortality Score performing as the most discriminative and well-calibrated model. Performance across health-care settings was similar for the GAL-COVID-19 model, with a calibration-in-the-large in the range of -2.35 to -0.15 indicating overestimation, calibration slopes of 0.24-0.81 indicating signs of overfitting, and C-statistic of 0.55-0.71.

CONCLUSION

Our results show that most prognostic models for predicting mortality risk performed poorly in the older population with COVID-19, in each health-care setting: hospital, primary care, and nursing home settings. Insights into factors influencing predictive model performance in the older population are needed for pandemic preparedness and reliable prognostication of health-related outcomes in this demographic.

Impact of the COVID-19 pandemic on hospital episodes for falls and fractures associated with new-onset disability and frailty in England: a national cohort study

BACKGROUND

Older people with frailty are at risk of harm from immobility or isolation, yet data about how COVID-19 lockdowns affected them are limited. Falls and fractures are easily measurable adverse outcomes correlated with frailty. We investigated whether English hospital admission rates for falls and fractures varied from the expected trajectory during the COVID-19 pandemic, and how these varied by frailty status.

METHODS

NHS England Hospital Episode Statistics Admitted Patient Care data were analysed for observed versus predicted outcome rates for 24 January 2020 to 31 December 2021. An auto-regressive integrated moving average time-series model was trained using falls and fracture incidence data from 2013 to 2018 and validated using data from 2019. Models included national and age-, sex- and region-stratified forecasts. Outcome measures were hospital admissions for falls, fractures, and falls and fractures combined. Frailty was defined using the Hospital Frailty Risk Score.

RESULTS

144,148,915 pre-pandemic hospital admissions were compared with 42,267,318 admissions after pandemic onset. For the whole population, falls and fracture rates were below predicted for the first period of national lockdown, followed by a rapid return to rates close to predicted. Thereafter, rates followed expected trends. For people living with frailty, however, falls and fractures increased above expected rates during periods of national lockdown and remained elevated throughout the study period. Effects of frailty were independent of age.

CONCLUSIONS

People living with frailty experienced increased fall and fracture rates above expected during and following periods of national lockdown. These remained persistently elevated throughout the study period.

Outpatient Antipsychotic Use and Severe COVID-19: Avoiding the Impact of Age in a Real-World Data Study

BACKGROUND

The association between use of antipsychotics and COVID-19 outcomes is inconsistent, which may be linked to use of these drugs in age-related diseases. Furthermore, there is little evidence regarding their effect in the nongeriatric population. We aim to assess the association between antipsychotic use and risk of disease progression and hospitalization due to COVID-19 among the general population, stratifying by age.

METHODS

We conducted a population-based, multiple case-control study to assess risk of hospitalization, with cases being patients with a PCR(+) test who required hospitalization and controls being individuals without a PCR(+) test; and risk of progression to hospitalization, with cases being the same as those used in the hospitalization substudy and controls being nonhospitalized PCR(+) patients. We calculated adjusted odds-ratios (aOR) and 95% confidence intervals (CI), both overall and stratified by age.

RESULTS

Antipsychotic treatment in patients younger than 65 years was not associated with a higher risk of hospitalization due to COVID-19 (aOR 0.94 [95%CI = 0.69-1.27]) and disease progression among PCR(+) patients (aOR 0.96 [95%CI = 0.70-1.33]). For patients aged 65 years or older, however, there was a significant, increased risk of hospitalization (aOR 1.58 [95% CI = 1.38-1.80]) and disease progression (aOR 1.31 [95% CI = 1.12-1.55]).

CONCLUSIONS

The results of our large-scale real-world data study suggest that antipsychotic use is not associated with a greater risk of hospitalization due to COVID-19 and progression to hospitalization among patients younger than 65 years. The effect found in the group aged 65 years or older might be associated with off-label use of antipsychotics.

Health-related quality of life after 12 months post discharge in patients hospitalised with COVID-19-related severe acute respiratory infection (SARI): a prospective analysis of SF-36 data and correlation with retrospective admission data on age, disease severity, and frailty

Long-term outcome and 'health-related quality of life' (HRQoL) following hospitalisation for COVID-19-related severe acute respiratory infection (SARI) is limited.

OBJECTIVE

To assess the impact of HRQoL in patients hospitalised with COVID-19-related SARI at 1 year post discharge, focusing on the potential impact of age, frailty, and disease severity.

METHOD

Routinely collected outcome data on 1207 patients admitted with confirmed COVID-19 related SARI across all three secondary care sites in our NHS trust over 3 months were assessed in this retrospective cohort study. Of those surviving 1 year, we prospectively collected 36-item short form (SF-36) HRQoL questionnaires, comparing three age groups (<49, 49-69, and the over 69-year-olds), the relative impact of frailty (using the Clinical Frailty Score; CFS), and disease severity (using National Early Warning Score; NEWS) on HRQoL domains.

RESULTS

Overall mortality was 46.5% in admitted patients. In our SF-36 cohort (n=169), there was a significant reduction in all HRQoL domains versus normative data; the most significant reductions were in the physical component (p<0.001) across all ages and the emotional component (p<0.01) in the 49-69 year age group, with age having no additional impact on HRQoL. However, there was a significant correlation between physical well-being versus CFS (the correlation coefficient=-0.37, p<0.05), though not NEWS, with no gender difference observed.

CONCLUSION

There was a significant reduction in all SF-36 domains at 1 year. Poor CFS at admission was associated with a significant and prolonged impact on physical parameters at 1 year. Age had little impact on the severity of HRQoL, except in the domains of physical functioning and the overall physical component.

Understanding the Burden of Respiratory Syncytial Virus in Older Adults in Latin America: An Expert Perspective on Knowledge Gaps

Respiratory syncytial virus (RSV) is a significant global health concern and major cause of hospitalization, particularly among infants and older adults. The clinical impact of RSV is well characterized in infants; however, in many countries, the burden and risk of RSV in older populations are overlooked. In Latin America, there are limited data on RSV epidemiology and disease management in older adults. Therefore, the impact of RSV in this region needs to be addressed. Here, current insights on RSV infections in older populations in Latin America, including those with underlying health conditions, are discussed. We also outline the key challenges limiting our understanding of the burden of RSV in Latin America in a worldwide context and propose an expert consensus to improve our understanding of the burden of RSV in the region. By so doing, we aim to ultimately improve disease management and outcomes of those at risk and to alleviate the impact on healthcare systems.A graphical plain language summary is available with this article.

Frailty modifies the association of body mass index with mortality among older adults: Kyoto-Kameoka study

BACKGROUND & AIMS

The differences in the association of body mass index (BMI) with mortality between older adults with and without frailty remain unclear. This study investigated this association in community-dwelling older adults with and without frailty.

METHODS

This prospective study included 10,912 adults aged ≥65 years who provided valid responses to a baseline mail survey questionnaire in the Kyoto-Kameoka Study in Japan. The BMI was calculated based on self-reported height and body weight and classified into four categories: <18.5, 18.5-21.4, 21.5-24.9, and ≥25.0 kg/m2. Frailty was evaluated using the validated Kihon Checklist and defined as a score of 7 or higher out of a possible 25 points. Mortality data were collected from 30 July 2011 to 30 November 2016. Hazard ratios (HR) for all-cause mortality were calculated using a multivariable Cox proportional hazards model.

RESULTS

During the 5.3 year median follow-up period (54,084 person-years), 1352 deaths were recorded. After adjusting for confounders, including lifestyle and medical history, compared with participants with a BMI of 21.5-24.9 kg/m2, those in the lower BMI category had a higher mortality HR, while those with a higher BMI displayed an inverse association with mortality (<18.5 kg/m2: HR: 1.85, 95% confidence interval [CI]: 1.58-2.17; 18.5-21.4 kg/m2: HR: 1.38, 95% CI: 1.21-1.58; and ≥25.0 kg/m2: HR: 0.80, 95% CI: 0.67-0.96). In a model stratified by frailty status, the BMI range with the lowest HR for mortality was 23.0-24.0 kg/m2 in non-frail older adults; however, in frail older adults, a higher BMI was inversely associated with mortality.

CONCLUSIONS

The relationship between BMI and mortality varies between individuals with and without frailty, with those experiencing frailty potentially benefiting from a higher BMI compared to those without frailty. This study suggests that frailty should be assessed when considering the optimal BMI for the lowest mortality risk among older adults.

Do Neutrophil-Lymphocyte Ratio and Platelet-Lymphocyte Ratio Need to Be Stratified for Age and Comorbidities in COVID-19 Disease? A Subgroup Analysis of Two Distinct Cohorts over Disease Course

Several studies described neutrophil-lymphocyte ratio (NLR) and platelet-lymphocyte ratio (PLR) as markers of COVID-19 severity. In a recently published study, age and frailty affected NLR and PLR more than disease severity. The study compared two distinct cohorts. The first comprised older frailer patients positive for SARS-CoV-2, with mild or asymptomatic disease, admitted to designated COVID-19 departments in a large geriatric medical center (GMC). The second cohort comprised COVID-19 patients admitted to a large general hospital (GH) for symptomatic disease. This was a follow-up study comparing a subgroup of patients who had NLR and PLR values measured a week after admission. Only 100 of 177 patients in the original GMC cohort had a second NLR test compared to almost all (287 of 289) patients in the general hospital (GH) cohort. The subgroup baseline characteristics did not change significantly from that of the original cohort. Disease symptoms were more prevalent in the GH cohort. In the GMC group, the median second NLR rose from 3.9 to 4.6, while in the GH cohort, the NLR value dropped from 3.5 to 2.8, enhancing the NLR differences between the groups. Smaller changes were observed in the second PLR. These results strengthen the prior results that age and frailty seem to have a stronger impact on NLR and PLR than disease severity.

Palliative medicine trainees be should learn about frailty: meta-synthesis and Delphi study to establish curriculum content

OBJECTIVES

Frailty is common and highly associated with morbidity and mortality, a fact that has been highlighted by COVID-19. Understanding how to provide palliative care for frail individuals is an international priority, despite receiving limited mention in Palliative Medicine curricula or examinations worldwide. This study aimed to synthesise evidence and establish expert consensus on what should be included in a Palliative-Medicine Specialist Training Curriculum for frailty.

METHODS

Literature Meta-synthesis conducted by palliative medicine, frailty and education experts produced a draft curriculum with Bologna based Learning-Outcomes. A Delphi study asked experts to rate the importance of Learning-Outcomes for specialist-training completion and propose additional Learning-Outcomes. This process was repeated until 70% consensus was achieved for over 90% of Learning-Outcomes. Experts divided Learning-Outcomes into specific (for inclusion in a frailty subsection) or generic (applicable to other palliative conditions). The Delphi panel was Subject Matter Experts: Palliative-Medicine Consultants (n=14) and Trainees (n=10), representing hospital, community, hospice and care home services and including committee members of key national training organisations. A final reviewing panel of Geriatric Medicine Specialists including experts in research methodology, national training requirements and frailty were selected.

RESULTS

The meta-synthesis produced 114 Learning-Outcomes. The Delphi Study and Review by Geriatric Medicine experts resulted in 46 essential and 33 desirable Learning-Outcomes.

CONCLUSIONS

This frailty curriculum is applicable internationally and highlights the complex and unique palliative needs of frail patients. Future research is required to inform implementation, educational delivery and service provision.

Risk factors for COVID-19 in-hospital mortality in Argentina: A competing risk survival analysis

COVID-19 poses dire threats for low and middle-income countries (LMICs). Yet, there remains limited rigorous evidence describing the characteristics and outcomes of hospitalized patients for LMICs, and often the evidence was based on small samples and/or unicentric. The objective of this study was to examine risk factors of COVID-19 mortality in Argentina, a hard-hit middle-income Latin American country. We analyze data on 5,146 COVID-19 patients from 11 centers across 10 cities in Argentina, making this one of the largest multi-centric retrospective observational descriptive studies in the LMICs. Information on demographics and co-morbidities was extracted from medical records. Outcomes of relevance consisted of whether the patient was discharged or deceased (as established in medical records), along with date of each event. We use survival models that account for competing risks. Median age was 60 years (IQR: 48-72), there were fewer women (40.8%) hospitalized than men (59.2%), and the most prevalent comorbidities were hypertension (40.9%), diabetes (20.0%) and obesity (19.1%). Patients were hospitalized for a median duration of 8 days (IQR: 5-13), and in-hospital mortality was 18.1%, though it varied substantially across health centers (95%CI: 17.1%-19.2%). Baseline characteristics most associated with in-hospital mortality were respiratory rate (adjusted HR = 3.6, 95%CI: 2.5-5.4 for ≥ 26 breathes/min), older age (adjusted HR = 2.5, 95%CI: 2.0-3.3 for the 80+ age group), and chronic kidney disease (adjusted HR = 2.2, 95%CI: 1.8-2.8). Associations were attenuated when survival models did not account for the competing risk of being discharged. We document lower mortality rates than those in prior studies, likely due to a lower prevalence of comorbidities amongst patients in our sample. Compared with standard Cox models, we find that, when using competing risk models, risk factors have a larger role in explaining COVID-19 mortality. Overall, we provide rigorous evidence describing the characteristics and outcomes of hospitalized patients for LMICs. Thus, our findings are useful to conduct a more accurate in-hospital monitoring of patient subgroups who may be at greater risk. They also provide valuable guidance for public health and policy efforts in Argentina and other developing countries.

Mortality amongst hospitalized COVID-19 cases by acquisition and pandemic wave in Wales, UK, February 2020-March 2022

BACKGROUND

Hospital populations are vulnerable to COVID-19, but the relative severity of hospital acquisition compared to community is unknown. We investigated differences in mortality between hospital and community acquired cases in Wales.

METHODS

Severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) polymerase chain reaction tests from February 2020 to March 2022 were linked with hospital admissions to identify likely hospital-acquired cases. All-cause mortality within 28 days of a positive SARS-CoV-2 were measured by source of acquisition. Multi-variable logistic regression was used to compare mortality by source of acquisition, adjusting for confounders, computing adjusted odds ratios (aOR) with 95% confidence intervals (CI).

RESULTS

There were 25,263 hospital-acquired cases of COVID-19 and 5490 (22%) deaths in the study period. Although significant on univariate analysis, adjustment for confounding showed no association with increased mortality for hospital-acquired cases compared with cases admitted with COVID-19 (aOR 0.8, 95% CI 0.7-0.8). Vaccination (aOR 0.6, 95% CI 0.5-0.7) and infection in later pandemic waves (aOR 0.5, 95% CI 0.4-0.6) were associated with lower mortality; older age (≥85 vs <25 years: aOR 76.4, 95% CI 41.8-160.5) and male sex (aOR 1.5, 95% CI 1.4-1.6) were associated with higher mortality.

CONCLUSION

One in five hospitalised COVID-19 cases died within a month of infection. Mortality in nosocomial cases was not worse than those admitted with COVID-19, possibly reflecting early identification of nosocomial cases through screening.

Comparison of clinical outcomes over time of inpatients with healthcare-associated or community-acquired coronavirus disease 2019 (COVID-19): A multicenter, prospective cohort study

OBJECTIVE

To compare clinical outcomes over time of inpatients with healthcare-associated coronavirus disease 2019 (HA-COVID-19) versus community-acquired COVID-19 (CA-COVID-19).

DESIGN

We conducted a multicenter, prospective observational cohort study of inpatients with COVID-19.

SETTING

The study was conducted across 16 acute-care hospitals in Switzerland.

PARTICIPANTS AND METHODS

We compared HA-COVID-19 cases, defined as patients with a positive severe acute respiratory coronavirus virus 2 (SARS-CoV-2) test > 5 days after hospital admission, with hospitalized CA-COVID-19 cases, defined as those who tested positive within 5 days of admission. The composite primary outcome was patient transfer to an intensive care unit (ICU) or an intermediate care unit (IMCU) and/or all-cause in-hospital mortality. We used cause-specific Cox regression and Fine-Gray regression to model the time to the composite clinical outcome, adjusting for confounders and accounting for the competing event of discharge from hospital. We compared our results to those from a conventional approach using an adjusted logistic regression model where time-varying effects and competitive risk were ignored.

RESULTS

Between February 19, 2020, and December 31, 2020, we included 1,337 HA-COVID-19 cases and 9,068 CA-COVID-19 cases. HA-COVID-19 patients were significantly older: median, 80 (interquartile range [IQR], 71-87) versus median 70 (IQR, 57-80) (P < .001). A greater proportion of HA-COVID-19 patients had a Charlson comorbidity index ≥ 5 (79% vs 55%; P < .001) than did CA-COVID-19 patients. In time-varying analyses, between day 0 and 8, HA-COVID-19 cases had a decreased risk of death or ICU or IMCU transfer compared to CA-COVID-19 cases (cause-specific hazard ratio [csHR], 0.43; 95% confidence interval [CI], 0.33-0.56). In contrast, from day 8 to 30, HA-COVID-19 cases had an increased risk of death or ICU or IMCU transfer (csHR, 1.49; 95% CI, 1.20-1.85), with no significant effect on the rate of discharge (csHR, 0.83; 95% CI, 0.61-1.14). In the conventional logistic regression model, HA-COVID-19 was protective against transfer to an ICU or IMCU and/or all-cause in-hospital mortality (adjusted odds ratio [aOR], 0.79, 95% CI, 0.67-0.93).

CONCLUSIONS

The risk of adverse clinical outcomes for HA-COVID-19 cases increased substantially over time in hospital and exceeded that for CA-COVID-19. Using approaches that do not account for time-varying effects or competing events may not fully capture the true risk of HA-COVID-19 compared to CA-COVID-19.

Body Mass Index as a Predictor of COVID-19 Severity in ICU Patients in Saudi Arabia: A Retrospective Analysis

Introduction The global coronavirus disease 2019 (COVID-19) pandemic has prompted research into various risk factors, including the role of body mass index (BMI) in disease severity. This study specifically examines the correlation between BMI and the severity of COVID-19 among intensive care unit (ICU) patients in Saudi Arabia, addressing a gap in region-specific data. The study aims to assess the impact of BMI on the severity of COVID-19 in a Saudi Arabian ICU patient cohort, providing insights into how this relationship varies in different demographic contexts. Materials and methods Employing a retrospective cohort design, the study analyzed data from adult ICU patients in Saudi Arabia diagnosed with COVID-19. It focused on variables like BMI at admission, demographic information, and COVID-19 outcomes including severity, recovery, and mortality. Statistical analysis involved regression models, adjusting for age, gender, and comorbidities. Results Unlike global observations, the study found no significant correlation between BMI and COVID-19 severity in the Saudi Arabian context. This suggests that in this specific demographic, other factors may be more critical in determining the severity of the disease. Conclusion Our findings challenge the global consensus on BMI as a key factor in COVID-19 severity, highlighting the importance of regional differences in disease dynamics. They underscore the need for localized healthcare strategies and further research into diverse demographic factors affecting COVID-19. This study contributes to a broader understanding of the pandemic and encourages region-specific approaches in both clinical and public health spheres.

Do-Not-ResuscitateDecision-Making during the COVID-19 Pandemic in a Teaching Hospital: Lessons Learned for the Future

Method

A cross-sectional survey study was conducted between February 2021 and April 2021 for all doctors and doctors in training, working in the Antwerp University Hospital during the COVID-19 pandemic.

Results

127 doctors participated in this study. The familiarity with the different scores used in the triage during the COVID-10 pandemic was 51% for the Clinical Frailty Scale (CFS) and 20% for the Charlson Comorbidity Index (CCI). Participants indicated that their DNR decision is based on various aspects such as clinical assessment, comorbidities, patient's wishes, age, prognosis, and functional state.

Conclusion

The familiarity with the different scores used during triage assessments is low. The total clinical picture of the patient is needed to make a considered decision, and this total picture of the patient seems to be well encompassed by frailty measurement (CFS). Although many participants indicated that the different scores do not offer much added value compared to their clinical assessment, it can help guide DNR decisions, especially for doctors in training.

The association of technology acceptance and physical activity on frailty in older adults during the COVID-19 pandemic period

BACKGROUND

Physical activity was known to be the protective factor against frailty. Technology acceptance is associated with behavioural intention to technology usage. Technology has been effective in promoting healthy behaviour of physical activity. The purposes of this study were to examine the association between physical activity and technology acceptance with frailty and examine the moderation effect of technology acceptance on physical activity and frailty. We hypothesize that 1) physical activity and technology acceptance are associated with frailty, and 2) technology acceptance moderates the association of physical activity with frailty.

METHODS

This study employed a cross-sectional design and was conducted in the community settings of Hong Kong in 2021. Eligible participants were old people aged ≥60 and were community-dwelling. Key variables included physical activity measured by Rapid Assessment of Physical Activity (RAPA), social network measured by Lubben Social Network Scale-Six items (LSNS-6); depressive symptoms measured by Patient Health Questionnaire-Nine items (PHQ-9), technology acceptance measured by Senior Technology Acceptance Model-14 items (STAM-14) and frailty measured by Fatigue, Resistance, Ambulation, Illnesses, & Loss of Weight scale (FRAIL). Ordinal logistic regression was employed to test the hypotheses. The moderation effect was examined by introducing an interaction term formed by the multiplication of an independent variable (i.e., physical activity) and a moderating variable (i.e., technology acceptance).

RESULTS

This study recruited 380 eligible participants with a mean age of 66.5 years. Technology acceptance (Beta = - 0.031, p < 0.001, Pseudo-R2 = 0.087) and physical activity (Beta = - 0.182, p = 0.003, Pseudo-R2 = 0.027) were associated with frailty in the unadjusted models. Technology acceptance (Beta = - 0.066, p < 0.001) and physical activity (Beta = - 1.192, p < 0.001) were also associated with frailty in the fully adjusted model (Pseudo-R2 = 0.352). Interaction term formed by the multiplication of technology acceptance and physical activity (Beta = 0.012, p = 0.001) was associated with frailty. Physical activity was significantly associated with frailty in the lower technology acceptance subgroup (Beta = - 0.313, p = 0.002) in the subgroup analysis. However, in the subgroup of higher technology acceptance, the association of physical activity (Beta = 0.104, p = 408) on frailty became positive but not significant.

CONCLUSIONS

This study showed that physical activity and technology acceptance were associated with frailty, and technology acceptance moderated the association of physical activity with frailty. This study recommends engaging older adults in physical activity to combat frailty preferentially in those with a lower level of technology acceptance.

Mast cell activation may contribute to adverse health transitions in COVID-19 patients with frailty

A prominent aspect of the post-coronavirus disease-2019 (post-COVID-19) era is long-COVID. Therefore, precise patient classification and exploration of the corresponding factors affecting long-COVID are crucial for tailored treatment strategies. Frailty is a common age-related clinical syndrome characterized by deteriorated physiological functions of multiple organ systems, which increases susceptibility to stressors. Herein, we performed an inclusion and exclusion analysis (definite COVID-19 infection diagnosis, clear underlying disease information, ≥60 years old, and repeated sampling of clinical cases) of 10,613 blood samples and identified frailty cases for further investigation. RNA-Seq data were used for differential gene expression and functional and pathway analyses. The results revealed that patients with frailty were more prone to poor health conversions and more sequelae, and the blood transcriptome had obvious disturbances in pathways associated with immune regulation, metabolism, and stress response. These adverse health transitions were significantly associated with mast cell activation. Additionally, NCAPG, MCM10, and CDC25C were identified as hub genes in the peripheral blood differential gene cluster, which could be used as diagnostic markers of poor health conversion. Our results indicate that healthcare measures should be prioritized to mitigate adverse health outcomes in this vulnerable patient group, COVID-19 patients with frailty, in post-COVID era.

Functional outcomes of COVID-19 patients who underwent acute inpatient rehabilitation and the exploration of the benefits of adjunct robotic therapy and the effects of frailty

Objective

To describe the functional outcomes of post COVID-19 patients after inpatient rehabilitation and determine if patients who underwent adjunct daily robotic therapy with Andago had better functional outcomes than those who did not and if patients who were frail had worse functional outcomes than those who were pre-frail or not frail.

Design

Retrospective study of COVID-19 patients transferred for acute inpatient rehabilitation from 1 November 2021 to 31 December 2021.

Results

Post COVID-19 patients who underwent inpatient rehabilitation had an improvement in the Functional Independence Measure (FIM) (median 109 vs 82), Functional Ambulation Category(FAC) (median 3 vs 2), distance walked with physiotherapist (mean 143.5 vs 18.7 m), and the Hospital Anxiety and Depression Scale(HADS) (mean 4.5 vs 7.8) from baseline. Robotic therapy may be associated with a shorter rehabilitation medicine length of stay (median 13 vs 19.5 days) and a higher FIM efficiency (mean 2.3 vs 1.2). Patients with a higher frailty score may have a slower 10 Meter Walk Test (10MWT) speed at discharge (Spearman’s rho −0.542).

Conclusion

Post COVID-19 patients benefit from inpatient rehabilitation with a comprehensive rehabilitation program, and adjunct robotic therapy may be offered to further improve functional outcomes. Frailty may also be considered when establishing rehabilitation goals, as meaningful functional gains can still be achieved.