The Multidimensional Prognostic Index predicts incident delirium among hospitalized older patients with COVID-19: a multicenter prospective European study.

PURPOSE: Incident delirium is a frequent complication among hospitalized older people with COVID-19, associated with increased length of hospital stay, higher morbidity and mortality rates. Although delirium is preventable with early detection, systematic assessment methods and predictive models are not universally defined, thus delirium is often underrated. In this study, we tested the role of the Multidimensional Prognostic Index (MPI), a prognostic tool based on Comprehensive Geriatric Assessment, to predict the risk of incident delirium. METHODS: Hospitalized older patients (≥ 65 years) with COVID-19 infection were enrolled (n = 502) from ten centers across Europe. At hospital admission, the MPI was administered to all the patients and two already validated delirium prediction models were computed (AWOL delirium risk-stratification score and Martinez model). Delirium occurrence during hospitalization was ascertained using the 4A's Test (4AT). Accuracy of the MPI and the other delirium predictive models was assessed through logistic regression models and the area under the curve (AUC). RESULTS: We analyzed 293 patients without delirium at hospital admission. Of them 33 (11.3%) developed delirium during hospitalization. Higher MPI score at admission (higher multidimensional frailty) was associated with higher risk of incident delirium also adjusting for the other delirium predictive models and COVID-19 severity (OR = 12.72, 95% CI = 2.11-76.86 for MPI-2 vs MPI-1, and OR = 33.44, 95% CI = 4.55-146.61 for MPI-3 vs MPI-1). The MPI showed good accuracy in predicting incident delirium (AUC = 0.71) also superior to AWOL tool, (AUC = 0.63) and Martinez model (AUC = 0.61) (p < 0.0001 for both comparisons). CONCLUSIONS: The MPI is a sensitive tool for early identification of older patients with incident delirium.

The Role of Multidimensional Prognostic Index to Identify Hospitalized Older Adults with COVID-19 Who Can Benefit from Remdesivir Treatment: An Observational, Prospective, Multicenter Study.

BACKGROUND: Data regarding the importance of multidimensional frailty to guide clinical decision making for remdesivir use in older patients with coronavirus disease 2019 (COVID-19) are largely unexplored. OBJECTIVE: The aim of this research was to evaluate if the Multidimensional Prognostic Index (MPI), a multidimensional frailty tool based on the Comprehensive Geriatric Assessment (CGA), may help physicians in identifying older hospitalized patients affected by COVID-19 who might benefit from the use of remdesivir. METHODS: This was a multicenter, prospective study of older adults hospitalized for COVID-19 in 10 European hospitals, followed-up for 90 days after hospital discharge. A standardized CGA was performed at hospital admission and the MPI was calculated, with a final score ranging between 0 (lowest mortality risk) and 1 (highest mortality risk). We assessed survival with Cox regression, and the impact of remdesivir on mortality (overall and in hospital) with propensity score analysis, stratified by MPI = 0.50. RESULTS: Among 496 older adults hospitalized for COVID-19 (mean age 80 years, female 59.9%), 140 (28.2% of patients) were treated with remdesivir. During the 90 days of follow-up, 175 deaths were reported, 115 in hospital. Remdesivir treatment significantly reduced the risk of overall mortality (hazard ratio [HR] 0.54, 95% confidence interval CI 0.35-0.83 in the propensity score analysis) in the sample as whole. Stratifying the population, based on MPI score, the effect was observed only in less frail participants (HR 0.47, 95% CI 0.22-0.96 in propensity score analysis), but not in frailer subjects. In-hospital mortality was not influenced by remdesivir use. CONCLUSIONS: MPI could help to identify less frail older adults hospitalized for COVID-19 who could benefit more from remdesivir treatment in terms of long-term survival.

The Prevalence of COVID-19 Fog and the Impact on Quality of Life After SARS-CoV-2 Infection (QoL-COVID): A Cross Sectional Study.

INTRODUCTION: Coronavirus has an impact on both the physical and mental health of individuals. The literature regarding the patient's health status post-SARS-CoV-2 is still scarce with limited data on the prevalence of residual symptoms and quality of life (QoL) after the infection. The aim of this study was to understand the impact of SARS-CoV-2 on patient QoL, and remaining symptoms. MATERIAL AND METHODS: Single center cross-sectional study of patients who had been admitted to our COVID-19 ward between March 2020 and March 2021. By applying a QoL questionnaire (EQ-5D-5L) we assessed the overall sample, at three time points and in different groups of patients: those admitted to the intensive care unit (ICU) and the elderly. RESULTS: A total of 125 participants were included in our study. Most patients who were admitted had a severe course of disease (51%), with 22% of admissions to the ICU, with 8% requiring prone ventilation, 10% experiencing thrombotic complications and 18% of nosocomial infections throughout the admission. As for persistent symptoms related with COVID-19 fog, the most frequent were fatigue (57%), memory loss (52%) and insomnia (50%). Regarding QoL, the average decrease was 0.08 ± 0.2 in the index and 8.7 ± 19 in the Visual Analogue Scale (VAS). The QoL index decrease correlated with age, chronic obstructive pulmonary disease, asthma and heart failure, and all persistent symptoms, significantly. QoL VAS correlated significantly with fatigue, mood changes, difficulty concentrating and memory loss. The decrease in QoL and the persistent symptoms remained overall stable over the three time points. The ICU group showed no statistically significant difference in QoL, but the most frequently persistent symptoms were mood changes and attention disturbances. However, the elderly experienced a worsening in QoL expressed by index (0.69 ± 0.3 vs 0.8 ± 0.2, p-value = 0.01). CONCLUSION: A decrease in QoL was observed following SARS-CoV-2 infection, correlating with both chronic conditions and persistent symptoms. The lack of difference through time points of both QoL and persistent symptoms suggests a long-standing effect.

A Systematic Review of the Current Evidence from Randomised Controlled Trials on the Impact of Medication Optimisation or Pharmacological Interventions on Quantitative Measures of Cognitive Function in Geriatric Patients.

BACKGROUND: Cognitive decline is common in older people. Numerous studies point to the detrimental impact of polypharmacy and inappropriate medication on older people's cognitive function. Here we aim to systematically review evidence on the impact of medication optimisation and drug interventions on cognitive function in older adults. METHODS: A systematic review was performed using MEDLINE and Web of Science on May 2021. Only randomised controlled trials (RCTs) addressing the impact of medication optimisation or pharmacological interventions on quantitative measures of cognitive function in older adults (aged > 65 years) were included. Single-drug interventions (e.g., on drugs for dementia) were excluded. The quality of the studies was assessed by using the Jadad score. RESULTS: Thirteen studies met the inclusion criteria. In five studies a positive impact of the intervention on metric measures of cognitive function was observed. Only one study showed a significant improvement of cognitive function by medication optimisation. The remaining four positive studies tested methylphenidate, selective oestrogen receptor modulators, folic acid and antipsychotics. The mean Jadad score was low (2.7). CONCLUSION: This systematic review identified a small number of heterogenous RCTs investigating the impact of medication optimisation or pharmacological interventions on cognitive function. Five trials showed a positive impact on at least one aspect of cognitive function, with comprehensive medication optimisation not being more successful than focused drug interventions. More prospective trials are needed to specifically assess ways of limiting the negative impact of certain medication in particular and polypharmacy in general on cognitive function in older patients.

Can the Multidimensional Prognostic Index Improve the Identification of Older Hospitalized Patients with COVID-19 Likely to Benefit from Mechanical Ventilation? An Observational, Prospective, Multicenter Study.

OBJECTIVE: Data on prognostic tools for indicating mechanical ventilation in older people with COVID-19 are still limited. The aim of this research was to evaluate if the Multidimensional Prognostic Index (MPI), based on the Comprehensive Geriatric Assessment (CGA), may help physicians in identifying older hospitalized patients affected by COVID-19 who might benefit from mechanical ventilation. DESIGN: Longitudinal, multicenter study. SETTINGS AND PARTICIPANTS: 502 older people hospitalized for COVID-19 in 10 European hospitals. METHODS: MPI was calculated using 8 different domains typical of the CGA. A propensity score, Cox's regression analysis was used for assessing the impact of mechanical ventilation on rehospitalization/mortality for 90 days' follow-up, stratified by MPI = 0.50. The accuracy of MPI in predicting negative outcomes (ie, rehospitalization/mortality) was assessed using the area under the curve (AUC), and the discrimination with several indexes like the Net Reclassification Improvement (NRI) and the Integrated Discrimination Improvement (IDI). RESULTS: Among 502 older people hospitalized for COVID-19 (mean age: 80 years), 152 were treated with mechanical ventilation. In the propensity score analysis, during the 90-day follow-up period, there were 44 rehospitalizations and 95 deaths. Mechanical ventilation in patients with MPI values ≥ 0.50, indicating frailer participants, was associated with a higher risk of rehospitalization/mortality (hazard ratio 1.56, 95% CI 1.09-2.23), whereas in participants with MPI values < 0.50 this association was not significant. The accuracy of the model including age, sex, respiratory parameters, and MPI was good (AUC = 0.783) as confirmed by an NRI of 0.2756 (P < .001) and an IDI of 0.1858 (P < .001), suggesting a good discrimination of the model in predicting negative outcomes. CONCLUSIONS AND IMPLICATIONS: MPI could be useful for better individualizing older people hospitalized by COVID-19 who could benefit from mechanical ventilation.

Current evidence on the impact of medication optimization or pharmacological interventions on frailty or aspects of frailty: a systematic review of randomized controlled trials.

BACKGROUND: Frailty and adverse drug effects are linked in the fact that polypharmacy is correlated with the severity of frailty; however, a causal relation has not been proven in older people with clinically manifest frailty. METHODS: A literature search was performed in Medline to detect prospective randomized controlled trials (RCTs) testing the effects of pharmacological interventions or medication optimization in older frail adults on comprehensive frailty scores or partial aspects of frailty that were published from January 1998 to October 2019. RESULTS: Twenty-five studies were identified, 4 on comprehensive frailty scores and 21 on aspects of frailty. Two trials on comprehensive frailty scores showed positive results on frailty although the contribution of medication review in a multidimensional approach was unclear. In the studies on aspects related to frailty, ten individual drug interventions showed improvement in physical performance, muscle strength or body composition utilizing alfacalcidol, teriparatide, piroxicam, testosterone, recombinant human chorionic gonadotropin, or capromorelin. There were no studies examining negative effects of drugs on frailty. CONCLUSION: So far, data on a causal relationship between drugs and frailty are inconclusive or related to single-drug interventions on partial aspects of frailty. There is a clear need for RCTs on this topic that should be based on a comprehensive, internationally consistent and thus reproducible concept of frailty assessment.

The UriCath study: characterization of the use of indwelling urinary catheters among hospitalized older patients in the Internal Medicine Departments of Portugal.

PURPOSE: Approximately 25% of older inpatients have an indwelling urinary catheter (IUC), 45-54% unnecessarily. This study aims to describe the prevalence, indications, and complications of IUC use in Portuguese older inpatients. METHODS: Multicentric, cross-sectional, observational study conducted in Portuguese internal medicine wards (UriCath). RESULTS: Of a total of 3135 inpatients from 39 hospitals, we included 628 patients with 65 years old or more using an IUC, mean age 82.0 ± 7.5. Prevalence of IUC use was 20.0%. The average Barthel Index was 44.0 ± 37.3 and Charlson comorbidity Index was 7.0 ± 2.8. The main reasons for IUC use were: urinary output monitoring (47.5%), urinary retention (22.5%), and pressure ulcers (11.0%). The IUC removal was attempted in 9.1% and 24.7% developed a complication. CONCLUSION: IUC use among older inpatients is prevalent and often inappropriate. Clinical awareness and development guidelines for restricted use of IUC are essential to reduce morbimortality and healthcare costs.