A novel organizational model to face the challenge of multimorbid elderly patients in an internal medicine setting: a case study from Parma Hospital, Italy

Factors associated with delirium in a real-world acute-care setting: analysis considering the interdependence of clinical variables with the frailty syndrome

PURPOSE

Delirium risk assessment in the acute-care setting generally does not account for frailty. The objective of this retrospective study was to identify factors associated with delirium, considering the interdependency of clinical variables with frailty syndrome in complex older patients.

METHODS

The clinical records of 587 participants (248 M, median age 84) were reviewed, collecting clinical, anamnestic and pharmacological data. Frailty syndrome was assessed with the Clinical Frailty Scale (CFS). Delirium was the main study endpoint. The correlations of the considered anamnestic and clinical variables with delirium and its subtypes were investigated selecting only those variables not showing a high overlap with frailty. Correlations associated with a 25% excess of frequency of delirium in comparison with the average of the population were considered as statistically significant.

RESULTS

Delirium was detected in 117 (20%) participants. The presence of one among age > 85 years old, CFS > 4 and invasive devices explained 95% of delirium cases. The main factors maximizing delirium incidence at the individual level were dementia, other psychiatric illness, chronic antipsychotic treatment, and invasive devices. The coexistence of three of these parameters was associated with a peak frequency of delirium, ranging from 57 to 61%, mostly hypoactive forms.

CONCLUSIONS

In acute-care wards, frailty exhibited a strong association with delirium during hospitalization, while at the individual level, dementia and the use of antipsychotics remained important risk factors. Modern clinical prediction tools for delirium should account for frailty syndrome.

Performance management of generalist care for hospitalised multimorbid patients-a scoping review for value-based care

Objectives

Given the shift towards value-based healthcare and the increasing recognition of generalist care, enacting value-based healthcare for generalist care is critical. This work aims to shed light on how to conduct performance management of generalist care to facilitate value-based care, with a focus on medical care of hospitalised patients.

Design and setting

A scoping review of published literature was conducted. 30 publications which were relevant to performance management of generalist medical inpatient care were included in the review.

Outcome measures

The performance measures used across the studies were analysed and other qualitative findings were also obtained.

Results

We report an overall lack of research on performance management methods for generalist inpatient care. Relevant performance measures found include both outcome and process of care measures and both clinical and reported measures, with clinical outcome measures the most frequently reported. Length of stay, readmission rates and mortality were the most frequently reported. The insights from the papers emphasise the relevance of process of care measures for performance management, the advantages and disadvantages of types of measures and provide suggestions relevant for performance management of generalist inpatient care.

Conclusion

The findings of this scoping review outline a variety of performance measures valuable for generalist inpatient care including clinical outcome measures, reported outcome measures and process of care measures. The findings also suggest directions for implementation of such performance management, including emphasis on physician level performance management and the importance of documentation training. Further research for selecting and operationalising the measures for specific contexts and developing a comprehensive performance management system involving these measures will be important for achieving value-based healthcare for generalist inpatient care.

Acute care models for older people living with frailty: a systematic review and taxonomy

BACKGROUND

The need to improve the acute care pathway to meet the care needs of older people living with frailty is a strategic priority for many healthcare systems. The optimal care model for this patient group is unclear.

METHODS

A systematic review was conducted to derive a taxonomy of acute care models for older people with acute medical illness and describe the outcomes used to assess their effectiveness. Care models providing time-limited episodes of care (up to 14 days) within 48 h of presentation to patients over the age of 65 with acute medical illness were included. Care models based in hospital and community settings were eligible. Searches were undertaken in Medline, Embase, CINAHL and Cochrane databases. Interventions were described and classified in detail using a modified version of the TIDIeR checklist for complex interventions. Outcomes were described and classified using the Core Outcome Measures in Effectiveness Trials (COMET) taxonomy. Risk of bias was assessed using RoB2 and ROBINS-I.

RESULTS

The inclusion criteria were met by 103 articles. Four classes of acute care model were identified, acute-bed based care, hospital at home, emergency department in-reach and care home models. The field is dominated by small single centre randomised and non-randomised studies. Most studies were judged to be at risk of bias. A range of outcome measures were reported with little consistency between studies. Evidence of effectiveness was limited.

CONCLUSION

Acute care models for older people living with frailty are heterogenous. The clinical effectiveness of these models cannot be conclusively established from the available evidence.

TRIAL REGISTRATION

PROSPERO registration (CRD42021279131).

Defining SARS-CoV-2 breakthrough infection needing hospitalization in mass vaccination era: from disease-centered to patient-centered care

After the implementation of mass vaccination campaigns, breakthrough infections by SARS-CoV-2 are being increasingly observed worldwide, due to high pervasiveness of viral spread, emergence of novel variants, progressive ease of restrictive measures and waning protection against infection. Although breakthrough infections have generally lower clinical severity than COVID-19 in unvaccinated subjects, a consistent number of patients may still require hospitalization. These patients are generally old, frail and with a high number of comorbidities. Despite COVID-19-related symptoms are generally milder, they may still exhibit complicated clinical course for their intrinsic clinical complexity. The abrupt emergence of the SARS-CoV-2 omicron variant in the final weeks of 2021 could also contribute to increase the burden of breakthrough infection needing hospitalization, due to its extremely high infectiousness and the serious concerns over failure of immune response induced by available vaccines. The organization of hospital care should thus consider the changing epidemiology of patients admitted with SARS-CoV-2 infection in the post-vaccine era, to improve the quality and appropriateness of care and specifically address the needs of each patient. (www.actabiomedica.it)

Implementing a multidisciplinary rapid geriatric observation unit for non-critical older patients referred to hospital: observational study on real-world data

BACKGROUND

Geriatric rapid observation units may represent an alternative to hospitalization in older patients with non-critical acute illness.

AIMS

To describe the characteristics and outcomes of patients admitted to a geriatric observation unit called URGe (Unità Geriatrica Rapida), implemented in an Italian hospital and characterized by multidisciplinary medical staff with geriatric expertise, fast-track access to diagnostic resources, regular use of point-of-care ultrasound and predicted length of stay (LOS) < 72 h.

METHODS

The medical records of patients admitted to URGe during a 3-month period (452 subjects, 247 F and 205 M, median age 82 years, IQR 77-87) were retrospectively examined. The primary study endpoint was transferral from URGe to regular wards. Baseline covariates included demographics, comprehensive geriatric assessment, acute illnesses, comorbidities, vital signs and routine laboratory tests.

RESULTS

Despite elevated burden of multimorbidity (median number of chronic diseases 4, IQR 2-5) and frailty (median Rockwood Clinical Frailty Scale score 4, IQR 3-6), only 137 patients (30.3%) required transferral from URGe to regular wards. The main factors positively associated with this outcome were Rockwood score, fever, cancer and red cell distribution width (P < 0.05 on multivariate logistic regression model). The rate of complications (mortality, delirium, and falls) during URGe stay was low (0.5%, 7% and 2%, respectively). Overall duration of hospital stay was lower than that of a group of historical controls matched by age, sex, main diagnosis, multimorbidity and frailty.

CONCLUSIONS

The URGe model of acute geriatric care is feasible, safe and has the potential of reducing unnecessary hospitalizations of older patients.

Accounting for frailty and multimorbidity when interpreting high-sensitivity troponin I tests in oldest old

Background

Older patients evaluated in Emergency Departments (ED) for suspect Myocardial Infarction (MI) frequently exhibit unspecific elevations of serum high‐sensitivity troponin I (hs‐TnI), making interpretation particularly challenging for emergency physicians. The aim of this longitudinal study was to identify the interaction of multimorbidity and frailty with hs‐TnI levels in older patients seeking emergency care.

Methods

A group of patients aged≥75 with suspected MI was enrolled in our acute geriatric ward immediately after ED visit. Multimorbidity and frailty were measured with Cumulative Illness Rating Scale (CIRS) and Clinical Frailty Scale (CFS), respectively. The association of hs‐TnI with MI (main endpoint) was assessed by calculation of the Area Under the Receiver‐Operating Characteristic Curve (AUROC), deriving population‐specific cut‐offs with Youden test. The factors associated with hs‐TnI categories, including MI, CFS and CIRS, were determined with stepwise multinomial logistic regression. The association of hs‐TnI with 3‐month mortality (secondary endpoint) was also investigated with stepwise logistic regression.

Results

Among 268 participants (147 F, median age 85, IQR 80–89), hs‐TnI elevation was found in 191 cases (71%, median 23 ng/L, IQR 11–65), but MI was present in only 12 cases (4.5%). hs‐TnI was significantly associated with MI (AUROC 0.751, 95% CI 0.580–0.922, p = 0.003), with an optimal cut‐off of 141 ng/L. hs‐TnI levels ≥141 ng/L were significantly associated with CFS (OR 1.58, 95% CI 1.15–2.18, p = 0.005), while levels <141 ng/L were associated with the cardiac subscore of CIRS (OR 1.36, 95% CI 1.07–1.71, p = 0.011). CFS, but not hs‐TnI levels, predicted 3‐month mortality.

Conclusions

In geriatric patients with suspected MI, frailty and cardiovascular multimorbidity should be carefully considered when interpreting emergency hs‐TnI testing.

Implementation of a strategy involving a multidisciplinary mobile unit team to prevent hospital admission in nursing home residents: protocol of a quasi-experimental study (MMU-1 study)

INTRODUCTION

Nursing home residents represent a particularly vulnerable population experiencing high risk of unplanned hospital admissions, but few interventions have proved effective in reducing this risk. The aim of this research will be to verify the effects of a hospital-based multidisciplinary mobile unit (MMU) team intervention delivering urgent care to nursing home residents directly at their bedside.

METHODS AND ANALYSIS

Four nursing homes based in the Parma province, in Northern Italy, will be involved in this prospective, pragmatic, multicentre, 18-month quasiexperimental study (sequential design with two cohorts). The residents of two nursing homes will receive the MMU team care intervention. In case of urgent care needs, the nursing home physician will contact the hospital physician responsible for the MMU team by phone. The case will be triaged as (a) manageable by phone advice, (b) requiring urgent assessment by the MMU team or (c) requiring immediate emergency department (ED) referral. MMU team is composed of one senior physician and one emergency-medicine resident chosen within the staff of Internal Medicine and Critical Subacute Care Unit of Parma University-Hospital, usually with different specialty background, and equipped with portable ultrasound, set of drugs and devices useful in urgency. The MMU visits patients in nursing homes, with the mission to stabilise clinical conditions and avoid hospital admission. Residents of the other two nursing homes will receive usual care, that is, ED referral in every case of urgency. Study endpoints include unplanned hospital admissions (primary), crude all-cause mortality, hospital mortality, length of stay and healthcare-related costs (secondary).

ETHICS AND DISSEMINATION

The study protocol was approved by the Ethics Committee of Area Vasta Emilia Nord (Emilia-Romagna region). Informed consent will be collected from patients or legal representatives. The results will be actively disseminated through peer-reviewed journals and conference presentations, in compliance with the Italian law.

TRIAL REGISTRATION NUMBER

ClinicalTrials.gov Registry (NCT04085679); Pre-results.

Profiling the hospital-dependent patient in a large academic hospital: Observational study

BACKGROUND

In older patients with acute illness, a condition of "hospital-dependence" may arise: patients get adapted to the hospital care and, once discharged, may experience health status decline, requiring repeated readmissions despite appropriate treatments.

AIMS

The objective of this case-series study was to describe the characteristics of 118 patients (72 F) aged ≥75 (mean 83.7 ± 4.9) who were urgently admitted to our institution at least 4 times in 2015.

METHODS

For each patient and admission, data on multimorbidity (Cumulative Illness Rating Scale Comorbidity Score and Severity Index), frailty (Rockwood Clinical Frailty Scale), functional dependence, functional status, polypharmacy, length of stay and interval between admissions were extrapolated from clinical records. Mortality during the years 2015 and 2016 was assessed on the institutional database.

RESULTS

At the first admission, patients had a high burden of polypharmacy (median number of drugs 8.5, IQR 6-11) and multimorbidity (Comorbidity Score 15.8 ± 4.1, Severity Index 2.9 ± 1.1). However, most (55.5%) were fit or pre-frail according to Clinical Frailty Scale (score 1-4). At multivariate models, Severity Index was significantly correlated with the length of stay (β ± SE 2.23 ± 0.89, p = .01) and readmission interval (β ± SE -22.49 ± 9.27, p = .02). Significantly increasing trends of multimorbidity and disability occurred across admissions. By the end of 2016, 66% of patients had died. Frailty (RR 2.005, 95%CI 1.054-3.814, p = .007) and cancer were the only predictors of mortality.

CONCLUSIONS

Hospital-dependent patients had severe multimorbidity, but exhibited an unexpectedly low prevalence of frailty/disability at baseline, though increasing across admissions. Trends of frailty and multimorbidity are paramount for profiling the hospital-dependence risk.

Application of The Sepsis-3 Consensus Criteria in a Geriatric Acute Care Unit: A Prospective Study

The prognostic value of quick Sepsis-related Organ Failure Assessment (qSOFA) score in geriatric patients is uncertain. We aimed to compare qSOFA vs. Systemic Inflammatory Response Syndrome (SIRS) criteria for mortality prediction in older multimorbid subjects, admitted for suspected sepsis in a geriatric ward. We prospectively enrolled 272 patients (aged 83.7 ± 7.4). At admission, qSOFA and SIRS scores were calculated. Mortality was assessed during hospital stay and three months after discharge. The predictive capacity of qSOFA and SIRS was assessed by calculating the Area Under the Receiver Operating Characteristic Curve (AUROC), through pairwise AUROC comparison, and multivariable logistic regression analysis. Both qSOFA and SIRS exhibited a poor prognostic performance (AUROCs 0.676, 95% CI 0.609⁻0.738, and 0.626, 95% CI 0.558⁻0.691 for in-hospital mortality; 0.684, 95% CI 0.614⁻0.748, and 0.596, 95% CI 0.558⁻0.691 for pooled three-month mortality, respectively). The predictive capacity of qSOFA showed no difference to that of SIRS for in-hospital mortality (difference between AUROCs 0.05, 95% CI -0.05 to 0.14, p = 0.31), but was superior for pooled three-month mortality (difference between AUROCs 0.09, 95% CI 0.01⁻0.17, p = 0.029). Multivariable logistic regression analysis, accounting for possible confounders, including frailty, showed that both scores were not associated with in-hospital mortality, although qSOFA, unlike SIRS, was associated with pooled three-month mortality. In conclusion, neither qSOFA nor SIRS at admission were strong predictors of mortality in a geriatric acute-care setting. Traditional geriatric measures of frailty may be more useful for predicting adverse outcomes in this setting.

Gut microbiota composition is associated with polypharmacy in elderly hospitalized patients

Reduced biodiversity and increased representation of opportunistic pathogens are typical features of gut microbiota composition in aging. Few studies have investigated their correlation with polypharmacy, multimorbidity and frailty. To assess it, we analyzed the fecal microbiota from 76 inpatients, aged 83 ± 8. Microbiome biodiversity (Chao1 index) and relative abundance of individual bacterial taxa were determined by next-generation 16S rRNA microbial profiling. Their correlation with number of drugs, and indexes of multimorbidity and frailty were verified using multivariate linear regression models. The impact of gut microbiota biodiversity on mortality, rehospitalizations and incident sepsis was also assessed after a 2-year follow-up, using Cox regression analysis. We found a significant negative correlation between the number of drugs and Chao1 Index at multivariate analysis. The number of drugs was associated with the average relative abundance of 15 taxa. The drug classes exhibiting the strongest association with single taxa abundance were proton pump inhibitors, antidepressants and antipsychotics. Conversely, frailty and multimorbidity were not significantly associated with gut microbiota biodiversity. Very low Chao1 index was also a significant predictor of mortality, but not of rehospitalizations and sepsis, at follow-up. In aging, polypharmacy may thus represent a determinant of gut microbiota composition, with detrimental clinical consequences.

In-hospital elderly mortality and associated factors in 12 Italian acute medical units: findings from an exploratory longitudinal study

BACKGROUND

Given the progressive demographic ageing of the population and the National Health System reforms affecting care at the bedside, a periodic re-evaluation of in-hospital mortality rates and associated factors is recommended.

AIMS

To describe the occurrence of in-hospital mortality among patients admitted to acute medical units and associated factors. Two hypotheses (H) were set as the basis of the study: patients have an increased likelihood to die H₁: at the weekend when less nursing care is offered; H₂: when they receive nursing care with a skill-mix in favour of Nursing Aides instead of Registered Nurses.

METHODS

Secondary analysis of a prospective study of patients >65 years consecutively admitted in 12 Italian medical units. Data on individual and nursing care variables were collected and its association with in-hospital mortality was analysed by stepwise logistic regression analysis.

RESULTS

In-hospital mortality occurrence was 6.8 %, and 37 % of the patients died during the weekend. The logistic regression model explained 34.3 % (R ²) of the variance of in-hospital mortality: patients were six times (95 % CI = 3.632-10.794) more likely at risk of dying at weekends; those with one or more AEDs admissions in the last 3 months were also at increased risk of dying (RR 1.360, 95 % CI = 1.024-1.806) as well as those receiving more care from family carers (RR = 1.017, 95 % CI = 1.009-1.025). At the nursing care level, those patient receiving less care by RNs at weekends were at increased risk of dying (RR = 2.236, 95 % CI = 1.270-3.937) while those receiving a higher skill-mix, thus indicating that more nursing care was offered by RNs instead of NAs were at less risk of dying (RR = 0.940, 95 % CI = 0.912-0.969).

CONCLUSIONS

Within the limitations of this secondary analysis, in addition to the role of some clinical factors, findings suggest redesigning acute care at weekends ensuring consistent care both at the hospital and at the nursing care levels.

Gut microbiota composition and Clostridium difficile infection in hospitalized elderly individuals: a metagenomic study

The gut microbiota composition of elderly hospitalized patients with Clostridium difficile infection (CDI) exposed to previous antibiotic treatment is still poorly investigated. The aim of this study was to compare the microbiota composition by means of 16S rRNA microbial profiling among three groups of hospitalized elderly patients (age ≥ 65) under standard diet including 25 CDI-positive (CDI group), 29 CDI-negative exposed to antibiotic treatment (AB+ group) and 30 CDI-negative subjects not on antibiotic treatment (AB− group). The functional properties of the gut microbiomes of CDI-positive vs CDI-negative subjects were also assessed by shotgun metagenomics. A significantly lower microbial diversity was detected in CDI samples, whose microbiomes clustered separately from CDI-negative specimens. CDI was associated with a significant under-representation of gut commensals with putative protective functionalities, including Bacteroides, Alistipes, Lachnospira and Barnesiella, and over-representation of opportunistic pathogens. These findings were confirmed by functional shotgun metagenomics analyses, including an in-depth profiling of the Peptostreptococcaceae family. In CDI-negative patients, antibiotic treatment was associated with significant depletion of few commensals like Alistipes, but not with a reduction in species richness. A better understanding of the correlations between CDI and the microbiota in high-risk elderly subjects may contribute to identify therapeutic targets for CDI.