Geriatric Medicine Wards Research Articles

The application of machine learning for identifying frailty in older patients during hospital admission

BackgroundEarly identification of frail patients and early interventional treatment can minimize the frailty-related medical burden. This study investigated the use of machine learning (ML) to detect frailty in hospitalized older adults with acute illnesses.MethodsWe enrolled inpatients of the geriatric medicine ward at Taichung veterans general hospital between 2012 and 2022. We compared four ML models including logistic regression, random forest (RF), extreme gradient boosting, and support vector machine (SVM) for the prediction of frailty. The feature window as well as the prediction window was set as half a year before admission. Furthermore, Shapley additive explanation plots and partial dependence plots were used to identify Fried’s frailty phenotype for interpreting the model across various levels including domain, feature, and individual aspects.ResultsWe enrolled 3367 patients. Of these, 2843 were frail. We used 21 features to train the prediction model. Of the 4 tested algorithms, SVM yielded the highest AUROC, precision and F1-score (78.05%, 94.53% and 82.10%). Of the 21 features, age, gender, multimorbidity frailty index, triage, hemoglobin, neutrophil ratio, estimated glomerular filtration rate, blood urea nitrogen, and potassium were identified as more impactful due to their absolute values.ConclusionsOur results demonstrated that some easily accessed parameters from the hospital clinical data system can be used to predict frailty in older hospitalized patients using supervised ML methods.

What you need to know about common skin problems in older adults.

Skin ageing is a multifaceted process impacted by both intrinsic and extrinsic factors. Drier and less elastic skin with declining sebum levels in older age makes ageing skin more vulnerable to various skin conditions, including infections, inflammatory dermatoses, and cancers. Skin problems are common among older adults due to the effects of ageing, polypharmacy and multimorbidity impacting not only physical health but wellbeing and quality of life. In the UK, older adults in geriatric medicine wards may present with various skin conditions. Hospitalised older individuals may have undiagnosed skin problems unrelated to their admission, making hospitalisation an opportunity to manage unmet needs. Asteatotic eczema, incontinence associated dermatitis, seborrhoeic dermatitis, chronic venous insufficiency, and cellulitis are common disorders clinicians encounter in the geriatric medicine wards. This article outlines the importance of performing comprehensive skin assessments to help diagnose and commence management for these common conditions.

1987 Capillary blood glucose testing on older inpatients at the Norfolk and Norwich University Hospital (NNUH)

Abstract Rationale Inpatient glycaemic management is a challenge in older people. Clinicians at the Norfolk and Norwich University Hospital noticed substantial numbers of finger-prick capillary blood glucose (CBG) tests being documented. This quality improvement project explored the frequency of CBG testing on older people’s medicine wards, to determine if improvements in service provision and patient safety could be made. Methods Setting: Electronic records of inpatients on geriatric medicine wards at NNUH (May-July 2023) Patient selection: Older people with recorded CBG testing Measures: Type of diabetes, medication regime and frequency of CBG testing. Staff survey of CBG monitoring knowledge. Analysis: Compliance with the Joint British Diabetes Societies for Inpatient Care guidelines for frail older adults with diabetes (February 2023). Staff knowledge. Results 240 inpatients included - 23% had type 2 diabetes. 32% had regular CBG monitoring (once daily or more). Of these patients, 70% had tests that were not compliant with guidance. In a single day, we calculated 120 CBG tests that were not clinically indicated. 43% of patients were on single-therapy treatment (not including sulphonylureas) or diet-controlled type 2 diabetes, all of whom underwent excessive testing during their inpatient stay. A staff survey of 15 ward sisters, nurses and healthcare assistants revealed no consensus on who determines frequency of CBG testing and target CBG ranges for frail, older inpatients. Conclusions Ad hoc CBG testing has resulted in potential harm to our inpatients and overuse of staff time and resources. Future work is underway to ‘Think Glucose’ and implement protocols for appropriate CBG monitoring frequencies and target CBG ranges for our inpatients.

1808 QIP to improve the board round process on a general geriatric medicine ward

Abstract Introduction Effective board rounds improve the patient’s experience and reduce the risks associated with a prolonged hospital stay. Ward C54 at Queen’s Medical Centre is a 30-bedded ward dedicated to the provision of care for older, frail (CFS ≥ 6) patients. Board round on C54 was unstructured and could take over an hour. The project team set out to reduce the duration of board round, improve the quality of information handed over and improve staff satisfaction with board round. Method Pre- and post-intervention data on the daily duration of board round were collected by the junior doctors on the ward. PDSA methodology was then used to test the following interventions: 1. Nerve centre updated daily by the junior doctor responsible for that bay 2. Junior doctors to present information using 4Q approach 3. Staff nurse in each bay highlighting any issues for that bay. Pre- and post-intervention surveys were also distributed to staff working on C54. Results The duration of board round was reduced from an average of 52 minutes to an average of 38 minutes post-intervention. Over 90% of survey respondents believed the board round to be more efficient and over 80% were either satisfied or very satisfied with board round duration. Conclusions The findings have shown it is possible to improve the duration of and staff satisfaction with board round by giving MDT members a framework to help structure handover of written and verbal information. Future considerations include providing teaching sessions to staff on the board round process.

Prediction of COVID-19 in-hospital mortality in older patients using artificial intelligence: a multicenter study.

Once the pandemic ended, SARS-CoV-2 became endemic, with flare-up phases. COVID-19 disease can still have a significant clinical impact, especially in older patients with multimorbidity and frailty. This study aims at evaluating the main characteristics associated to in-hospital mortality among data routinely collected upon admission to identify older patients at higher risk of death. The present study used data from Gerocovid-acute wards, an observational multicenter retrospective-prospective study conducted in geriatric and internal medicine wards in subjects ≥60years old during the COVID-19 pandemic. Seventy-one routinely collected variables, including demographic data, living arrangements, smoking habits, pre-COVID-19 mobility, chronic diseases, and clinical and laboratory parameters were integrated into a web-based machine learning platform (Just Add Data Bio) to identify factors with the highest prognostic relevance. The use of artificial intelligence allowed us to avoid variable selection bias, to test a large number of models and to perform an internal validation. The dataset was split into training and test sets, based on a 70:30 ratio and matching on age, sex, and proportion of events; 3,520 models were set out to train. The three predictive algorithms (optimized for performance, interpretability, or aggressive feature selection) converged on the same model, including 12 variables: pre-COVID-19 mobility, World Health Organization disease severity, age, heart rate, arterial blood gases bicarbonate and oxygen saturation, serum potassium, systolic blood pressure, blood glucose, aspartate aminotransferase, PaO2/FiO2 ratio and derived neutrophil-to-lymphocyte ratio. Beyond variables reflecting the severity of COVID-19 disease failure, pre-morbid mobility level was the strongest factor associated with in-hospital mortality reflecting the importance of functional status as a synthetic measure of health in older adults, while the association between derived neutrophil-to-lymphocyte ratio and mortality, confirms the fundamental role played by neutrophils in SARS-CoV-2 disease.

254 The use of delirium screening tools during acute inpatient hospital admissions: a local audit

Abstract Background According to the ‘Second Irish National Audit of Dementia Care in Acute Hospitals (INAD-2), it is estimated that 20% of all adults admitted to hospital have a diagnosis of delirium during admission. Local HSE guidelines advise that all older adults (>65 years) should have a formalised delirium screening tool completed within the first 24 hours of presenting to the Emergency Department (ED). Methods We reviewed the medical admission documentation and subsequent medical notes in the charts of current inpatients on three Geriatric Medicine wards in the hospital. Data was collected from 56 patients over the age of 65 over a two day period. Results Data was collected from 56 patients. 21.4% (n = 12) had a delirium screening tool documented. Of those, 100% used 4AT testing and 100% were completed by the OPAL team (Older Person Assessment and Liaison Team)/ED Frailty Intervention Team. 5.4% (n = 3) met diagnostic criteria for delirium. 21.4% (n = 12) had delirium documented as a diagnosis on their medical admission, of which only 3 had delirium screening completed. 26.7% (n = 15) had a documented pre-existing diagnoses of dementia. Of those, 2 had a formal delirium screen documented. 25% (n = 14) were diagnosed with delirium later in their admission. Of those, 3 had a delirium screening tool completed at any point. The vocabulary used to describe delirium was also examined. Most commonly the words confusion (10) and agitated (4) were used instead of delirium. 4 had delirium subcategorised as hypoactive. Conclusion Delirium continues to be prevalent among our older inpatients and has been shown to be directly related to increased mortality. It is vital that we make use of the tools that are available to us to identify those at risk and those already suffering from this condition. We should prioritise appropriate delirium screening with standardised assessment tools in order to correctly identify those at risk.

223 Comprehensive Geriatric Assessment (CGA) in Perioperative Care: A Systematic Review of a Complex Intervention

Abstract Aim Comprehensive geriatric assessment (CGA) is a complex intervention applied to older people with evidence of benefit in medical populations. The aim of this systematic review was to describe how CGA is applied to surgical populations in randomised controlled trials. This will provide a basis for design of studies focused on optimising CGA as a complex intervention. Method A systematic review of randomised controlled trials. A systematic search was performed for studies of CGA in the perioperative period across Ovid MEDLINE, Ovid EMBASE, CINAHL and Cochrane CENTRAL, from inception to March 2021. Any randomised controlled trials of perioperative CGA versus 'standard care' were included. Results 12 121 titles and abstracts were screened, 68 full-text articles were assessed for eligibility and 22 articles included, reporting on 13 trials. 10 trials focused on inpatients with hip fracture, with 7 of these delivering CGA on a geriatric medicine ward, 3 on a surgical ward. The remaining three trials were in elective general surgery all delivering CGA on a surgical ward. CGA components, duration of intervention and personnel delivering the intervention were highly variable across the different studies. Trials favoured postoperative delivery of CGA (11/13). Only four trials reported data on adherence to the CGA intervention. Conclusions CGA as an intervention is variably described and delivered in randomised controlled trials in the perioperative setting. The reporting of both the CGA and standard care is often poor with little focus on adherence. Future research should focus on clearly defining and standardising the intervention and measuring adherence within trials.

273 ‘HOME ON TIME’: MULTIDISCIPLINARY INTERVENTION REDUCES LENGTH OF STAY AND DELAYS IN CARE TRANSFERS ON AN ACUTE GERIATRIC MEDICINE WARD

Abstract Background Unnecessarily prolonged hospital admission can have a profound effect on a frail, older person’s confidence, mood, functional status and cognition.This study examined whether a structured multidisciplinary intervention, embedded within an acute geriatric medicine ward, could reduce unnecessary days in hospital for acutely unwell older patients. Methods The study site is a 28-bed acute geriatric medicine ward in a large urban teaching hospital; data was collected from 1/1/22 to 11/4/22. Patients aged ≥70 years and admitted to the ward were randomly allocated to the Home On Time (HOT) Pathway (n=50) or usual care (n=100). All patients were cared for by a specialist geriatric team. The HOT Pathway involved daily multidisciplinary team (physiotherapy, nursing, occupational therapy, social work and medical) huddles focusing on enhanced communication, early discharge planning and identification of barriers to discharge home. Huddles typically lasted for <15 minutes. Results Almost two-thirds (92/150) of the study sample (mean age 83 years, 60% female) were discharged directly from the ward while one-fifth (29/150) were transferred for rehabilitation and one-tenth ultimately to long term care (16/150). The average acute ward Length-of-Stay (LOS) for HOT pathway patients was 10.4 days, compared to 14.4 days for usual care. The average LOS for HOT pathway patients discharged directly home (i.e. not via rehabilitation or to long-term care) was 8.0 days, compared to 10.2 days for usual care. One-fifth (10/50) of HOT pathway patients were discharged home within 48 hours of admission compared to one tenth (10/100) of usual care patients. Conclusion A structured, multidisciplinary intervention focusing on enhanced communication and early discharge planning within a geriatric medicine ward can reduce length of inpatient stay, delays in transitions of care and increase the rate of discharge home within 48 hours, potentially averting complications related to prolonged hospital admission.

293 PRE-ADMISSION POTENTIALLY INAPPROPRIATE PRESCRIBING PREVALENCE ON A CARE OF THE OLDER ADULT MEDICAL WARD

Abstract Background Potentially Inappropriate Prescribing (PIP) is a common but critical issue in care of the older adult. It is estimated that between 50 and 70% of those over 65 years are receiving at least one potentially inappropriate medication. Polypharmacy is a good indicator of PIP as it can indicate over- and inappropriate prescribing through prescribing cascade, exposing patients to risks of drug interactions and Adverse Drug Events (ADEs). 10-20% of hospital admissions of older adults are directly related to ADE of inappropriately prescribed drugs. Methods Point prevalence study using the ‘Screening Tool of Older Persons Prescriptions’ (STOPP) to identify PIPs on a geriatric medicine ward. Patients over 65 years of age admitted from home were included in the study. Patients’ pre-admission medications and changes made to these were assessed using STOPP. Results Sixteen patients out of 22 met the inclusion criteria. The average age of the patients included in the study was 82.3 years with a range from 70 to 88 years. 75% were female. 94% had polypharmacy prior to admission with an average of 2.25 PIPs (range 0 to 5). 43% (n=7) had all their PIPs addressed by a geriatrician as per STOPP, with a further 18% (n=3) having some of their PIPs altered. 25% (n=4) did not have any alterations to their PIPs. Conclusion Despite widely known impacts of PIPs on older adults, PIP remains highly prevalent in those admitted to hospital. PIP and polypharmacy can increase incident frailty two-fold and polypharmacy and frailty can lead to a 6-fold increase in mortality within two and a half years. We must actively educate all those involved in prescribing for this cohort of patients to reduce PIPs and their adverse effects.

345 HOW PREVALENT ARE UNDETECTED DEPRESSIVE SYMPTOMS AMONGST OLDER HOSPITAL INPATIENTS?

Abstract Background Depression in later life can have a profound effect on quality of life, functional independence, healthcare use and early mortality. For multiple reasons however, depression in later life may often go undetected. The aim of this study is to ascertain the point prevalence of depressive symptoms on a specialist geriatric medicine unit, examining the rate of detection of clinically significant symptoms. Methods The study site is a large urban university teaching hospital with a 150-bed specialist geriatric medicine unit, comprising acute medical, rehabilitation and long-stay wards. Depressive symptoms were assessed using the Centre for Epidemiological Studies Depression Scale (CES-D) with a score ≥16 indicating significant symptoms. Medical notes were examined for documentation of screening for/assessment of depression since admission. Patients were included if they were aged ≥70 years, a current inpatient and able to give informed consent. Results Almost 62% (47/76) of the study sample (Mean age 83 years, 66% female) met criteria for significant depressive symptoms. Almost-half (23/47, 49%) of patients with significant depressive symptoms were screened for depression (either with a structured screening tool, a documented mood assessment or review by psychiatry) while in hospital. The mean length of stay for patients with depressive symptoms who had not yet been screened for depression was 42.7 (23.2 – 62.2) days and over 70% had been in hospital for at least 10 days, with almost two-thirds (15/24, 65%) currently residing on an acute geriatric medicine ward (rather than a rehabilitation or long stay ward). Conclusion Our study demonstrates a high burden of depressive symptoms amongst older inpatients, with almost 2 in 3 meeting criteria for clinically significant symptoms. Less than half of those with clinically significant symptoms were screened for depression however, representing an important missed opportunity to identify, and possibly treat, depression.

343 RIGHT CARE, RIGHT PLACE, RIGHT TIME? WHAT PROPORTION OF ACUTELY-UNWELL OLDER PATIENTS UNDERGO EVIDENCE-BASED COMPREHENSIVE GERIATRIC ASSESSMENT?

Abstract Background There is robust evidence that Comprehensive Geriatric Assessment (CGA) improves outcomes for acutely unwell older people. Relatively little research has examined how this translates to real life clinical settings, however. The aim of this study therefore was to ascertain how many older people admitted to hospital underwent CGA and how this impacted on readmission rates. Methods The study site is a large teaching hospital with 150 specialist geriatric medicine beds and ‘specialty-take’ of frail, older people by the geriatric medicine service. Data pertaining to contact with a geriatric medicine service were collected for 400 consecutive ED presentations of patients aged ≥70 years from 1/1/21, as well as Clinical Frailty Scale (CFS) and readmission within 30 days. Results Over one-third (139/400, mean CFS 3.7) of patients were discharged home directly from the ED, with the remainder (261/400, mean CFS 4.5) admitted to hospital. Almost-half overall (122/261, mean CFS 4.7) and 58% of those ≥80 years, were admitted under the care of a geriatrician, with 73% (89/122) cared for on a specialist geriatric medicine ward. Of those not admitted under a geriatrician, 10% (13/139) subsequently underwent CGA on a consultation basis. In total, 48% (126/261, mean CFS 3.7) of patients ≥70 years, including one-third of those ≥80 years with a CFS≥5 (36/99), completed their admission without undergoing CGA. Of those ≥80 years with a CFS≥5 who did not receive CGA, readmission within 30 days was 24% compared to 13% for those who underwent CGA. Conclusion Patients who underwent CGA were older, with higher levels of frailty. However, one-third of those aged ≥80 years with CFS ≥5 did not undergo CGA and early readmission was higher in this cohort. CGA in the acute setting is a finite resource and it is imperative it is delivered to those who require it most.

Comprehensive geriatric assessment (CGA) in perioperative care: a systematic review of a complex intervention

ObjectivesComprehensive geriatric assessment (CGA) is a complex intervention applied to older people with evidence of benefit in medical populations. The aim of this systematic review was to describe how CGA...

1078 AUDIT TO IMPROVE APPLICATION OF THE MENTAL CAPACITY ACT ON GERIATRIC WARDS

Abstract Introduction The Mental Capacity Act 2005 (MCA) and Deprivation of Liberty Safeguards (DoLS) are put in place to protect the rights of capacitous patients to make decisions, and in those not deemed to have capacity, the latter ensures that any restrictions are in the patient’s best interests, are appropriate and proportionate. The objective of this audit was to assess whether these tools were being appropriately employed across the four Complex Medical Units (CMU) in the John Radcliffe Hospital, in a patient population in which dementia and delirium are prevalent. Method Audit of patient records on CMU wards (first cycle on 15/8/21 n = 74, second cycle on 31/10/21 (n = 74) before and after presentation of the initial audit results. All inpatients were assessed for: AMTS, completion of a MCA (for those with AMTS<8, or an AMTS not done as too unwell), DoLs applications if indicated. Across the wards, baseline patient characteristics and demographics were equal. In the first audit, there were only 16% patients (6) with an MCA out of a possible 38 patients who fulfilled the criteria and out of these, and 2 had a DOLS (5%). After training, involving a presentation given by us about the findings of our audit, together with high level discussions between consultants and registrars, there were 43% patients with an MCA (15 patients), and 14% had appropriate DOLS (5 patients), out of 35 patients. This therefore shows clear improvement in the situation on our wards. Conclusion This audit has improved the recognition of patients in whom a capacity assessment is required and the documentation of a MCA being done. Going forward, we suggest all geriatric medicine wards should discuss and audit MCA and DOLS to ensure patients’ rights are suitably protected.

Relation between drug therapy-based comorbidity indices, Charlson's comorbidity index, polypharmacy and mortality in three samples of older adults

BackgroundComorbidity indexes were designed in order to measure how the disease burden of a patient is related to different clinical outcomes such as mortality, especially in older and intensively treated people. Charlson's Comorbidity Index (CCI) is the most widely used rating system, based on diagnoses, but when this information is not available therapy-based comorbidity indices (TBCI) are an alternative: among them, Drug Derived Complexity Index (DDCI), Medicines Comorbidity Index (MCI), and Chronic Disease Score (CDS) are available. AimsThis study assessed the predictive power for 1-year mortality of these comorbidity indices and polypharmacy. MethodsSurvival analysis and Receiver Operating Characteristic (ROC) analysis were conducted on three Italian cohorts: 2,389 nursing home residents (Korian), 4,765 and 633 older adults admitted acutely to geriatric or internal medicine wards (REPOSI and ELICADHE). ResultsCox's regression indicated that the highest levels of the CCI are associated with an increment of 1-year mortality risk as compared to null score for all the three samples. DDCI and excessive polypharmacy gave similar results but MCI and CDS were not always statistically significant. The predictive power with the ROC curve of each comorbidity index was poor and similar in all settings. ConclusionOn the whole, comorbidity indices did not perform well in our three settings, although the highest level of each index was associated with higher mortality.

254 OPTIMISING COMMUNICATION WITH FAMILIES OF PATIENTS ON ACUTE STROKE AND GERIATRIC MEDICINE WARDS IN A LARGE TERTIARY HOSPITAL

Abstract Background Good communication with patients and families is important for older adults admitted to acute stroke or geriatric medicine wards, particularly with COVID19-related restricted visiting. These patients often have communication difficulties including aphasia, delirium, cognitive or hearing impairment, limiting their own communication with relatives. Using the Plan, Do, Study, Act (PDSA) approach we undertook a quality improvement project to optimise communication with families of patients on above wards in a large tertiary hospital. Methods PDSA cycle 1: Staff were surveyed to identify satisfaction level with communication and ways to optimise communication. Inpatients on study wards were identified, we recorded demographic and clinical details and prevalence of communication difficulties. We created a designated folder with individual ‘communication sheets’ in conjunction with ward doctors and the nurse manager. PDSA cycle 2: We performed a rapid interval audit of the communication folder use. ‘Outlier’ patients were excluded as their teams did not receive education about folder use. Results PDSA cycle 1: A total of 90 inpatients on three wards were included, mean age 78y (SD ±14.4y), 47% were male. Three-quarters (73%) had a communication difficulty noted, reported by nursing staff. Two patients were intubated and six had stroke-related aphasia. Half of surveyed staff reported communication with families was suboptimal. Most (86%) suggested a centrally-located communication logbook would be helpful. PDSA cycle 2: Over two weeks, communication sheets were reviewed for all included patients. Median frequency of calls to families was 4 days (range 0–14). Most (79%) had the name of the primary contact clearly documented. Many (52%) included no contact number. Only 9% had secondary contact information documented. Conclusion Communication with families of patients on acute stroke and geriatric medicine wards was suboptimal. Over a short interval this improved with regular phone calls using specific centrally-located communication folders. Further optimisation of their use is needed.

221 PREVALENCE AND DOCUMENTATION OF DELIRIUM IN A UNIVERSITY HOSPITAL

Abstract Background Delirium can complicate approximately 10% of all medical admissions and prevalence increases in those with cognitive impairment, increasing age and medical complexity. Delirium is associated with increased morbidity and mortality as well as increased length of stay. Prompt recognition and treatment is essential. The National Delirium Care Bundle suggests assessment and recognition at the earliest opportunity and documentation of delirium if patients screen positive. Methods We carried out an audit among patients admitted in all medical wards to identify delirium and assess if it was documented and a care bundle opened. All patients were screened using the 4AT tool at least once over the space of one week. Medical notes were also screened to assess for documentation of delirium. Results 95 patients were screened and 32 (33%) of these screened positive. Of these only 11 patients had a diagnosis of delirium documented in medical/nursing notes and a delirium care bundle opened. 50% of CCU patients were delirious. The Geriatric Medicine Ward had a lower prevalence of 19% with 66% identified in medical notes. Conclusion These results are disappointing with only 34% of patients identified as having a delirium. This audit is part of a quality improvement project with education sessions ongoing and roll out of the national delirium/dementia pathways across the medical wards. We hope to present our interventions and completed audit loop shortly.

Developing a machine learning model to identify delirium risk in geriatric internal medicine inpatients.

To develop a machine learning model that predicts delirium risk in geriatric internal medicine inpatients. A prospective cohort study of internal medicine wards in a tertiary care hospital in China. Blinded observers assessed delirium using the Confusion Assessment Method (CAM). The data set was randomly divided into a training set (70%) and a test set (30%). The model was trained on the training set using the decision tree and the five-fold cross-validation, and then the model performance was evaluated on the test set. Under-sampling was used to address the class imbalance. The discriminatory power of the model was measured by the area under the receiver operating characteristic curve (AUC) and F1 score. The data set comprised 740 patients from March 2016 to January 2017. The training set included 518 patients; the median (IQR) age was 84 (79-87) years; 364 (70.3%) were men; 71 (13.7%) with delirium. The test set included 222 patients; the median (IQR) age was 84.5 (79-87) years; 163 (73.4%) were men; 30 (13.5%) with delirium. In total, the data set included 740 hospital admissions with a median (IQR) age of 84 (79-87) years, 527 (71.2%) were men, and 101 (13.6%) with delirium. From 32 potential predictors, we included five variables in the predictive model: depression, cognitive impairment, types of drugs, nutritional status, and activity of daily life (ADL). The mean AUC on the training set was 0.967, the AUC and F1 score on the test set was 0.950 and 0.810, respectively. The model achieved 93.3% sensitivity, 94.3% specificity, 71.8% positive predictive value, 98.9% negative predictive value, and 94.1% accuracy on the test set. This machine learning model may allow more precise targeting of delirium prevention and could support clinical decision making in geriatric internal medicine wards.

Prognostic interplay of kidney function with sarcopenia, anemia, disability and cognitive impairment. The GLISTEN study

BackgroundInteractions between chronic kidney disease (CKD) and several comorbidities may potentially affect prognosis of older hospitalized patients. This study aims at evaluating the prognostic interactions between estimated glomerular filtration rate (eGFR), anemia, sarcopenia, functional and cognitive dysfunction, and 3-year mortality among older patients discharged from acute care hospitals. MethodsOur series consisted of 504 older adults enrolled in a multicenter observational study carried out in twelve Acute Geriatric and Internal Medicine wards throughout Italy. CKD was defined as an eGFR< 60 ml/min/1.73 m2. Anemia, Short Portable Status Mental Questionnaire (SPMSQ), Basic Activities of Daily Living (BADL), sarcopenia, and Charlson index were considered in the analysis. 3-year survival was investigated by Cox regression and prognostic interactions among study variables were assessed by survival tree analysis. Accuracy of different survival models was investigated by C-index. ResultseGFR < 30 mL/min/1.73 m2, anemia, sarcopenia, SPMSQ ≥ 5, and impairment in 1 or more BADL were significantly associated with mortality. Survival tree analysis showed that patients with eGFR < 35.32 ml/min/1.73 m2 and SPMSQ ≥ 5 had the highest risk of mortality [hazard ratio (HR): 5.49, 95%CI: 3.04–9.94] followed by those with eGFR < 35.32 ml/min/1.73 m2, hemoglobin < 11.95 g/dL and SPMSQ < 5 (HR:3.65; 95%CI: 2.21–6.02) and those with eGFR 35.32–47.99 ml/min/1.73 m2 and sarcopenia (HR:3.65; 95%CI: 1.99–6.69). Survival tree leaf node membership had good accuracy in predicting the study outcome (C-index: 0.73, 95%CI:0.70-0.76). ConclusionsInteractions among study risk factors designed distinct risk profiles in older patients discharged from acute care hospitals, that may help identify patients needing targeted interventions and appropriate follow-up after discharge.

The management of patients admitted to hospital with vertebral fragility fractures: experience from a UK university hospital

IntroductionPatients that require hospital admission for vertebral fragility fractures were older, multimorbid, frail, have cognitive impairment and were in severe pain. This study aimed to describe the hospital treatment received in one UK university hospital with the purpose of proposing what hospital services should look like. MethodThis was an observational study of adults aged 50 years and over admitted to hospital over 12 months with an acute vertebral fragility fracture. Information was collected from patients and electronic health records on their presentation and hospital care. Results90 patients were recruited into the study. 69% presented to hospital 24 h after the onset of their severe acute back pain. 38% had a concomitant medical diagnosis, such as an ongoing infection. X-ray of the spine was the most common imaging of choice to diagnose a fracture. There was variation in the content of the radiology reports. 46% or patients were managed on geriatric medicine wards, 39% on general medical wards, and followed by 14% on spinal surgical wards. Patients cared for by medical teams were older, frailer, had a higher prevalence of cognitive impairment, more dependent for daily living and less mobile compared to those under the care of the spinal surgical team. Many patients on medical wards had input from spinal surgical team and vice versa. 9% proceeded to have vertebral augmentation. Despite many in severe pain, only a third were prescribed opioids with the median dose of morphine-equivalent was 10-20 mg daily for the first three days of admission. While in hospital, 31% developed a medical complication, with infection being the most common one. On discharge, 76% still required opioids and only 56% had a plan for their bone health. DiscussionImprovements could be made to hospital vertebral fracture care. Many did not receive adequate pain relief and appropriate assessments to reduce their future fall and fracture risk. Most were medically managed. Quality standards and re-organising care in hip fracture has led to improved outcomes. A similar approach in vertebral fragility fractures might also deliver improved outcomes.

Efficacy of Nutrition Screening Tools in Predicting the Length of Hospital Stay in Older Hospitalized Patients

Objective: The prevalence of malnutrition remains high in older hospitalized patients. Subjective Global Assessment, the Nutrition Risk Screening-2002, and Malnutrition Universal Screening Tool are widely used screening and assessment tools, but comparison of their efficacy in predicting clinical outcomes like length of hospital stay remain scarce. This study aimed to compare the efficacy of these tools in predicting length of hospital stay in a group of older hospitalized patients.&#x0D; Materials and Methods: A retrospective analysis was performed in a sample of 72 patients consecutively admitted to a geriatric medicine ward. Subjective Global Assessment, Nutrition Risk Screening-2002 and Malnutrition Universal Screening Tool were performed within 24 hours of admission. Patients were classified as having prolonged length of hospital stay if they stay in the hospital for more than ten days. The association of baseline malnutrition defined by each tool and the prolonged length of hospital stay was assessed using unadjusted and adjusted logistic regression models.&#x0D; Results: The mean age of the patients was 73.5 ± 6.9 years, and 61.1% were women. The prevalence of malnutrition was 45.8% with Subjective Global Assessment, 51.4% with Nutrition Risk Screening-2002, and 33.3% with Malnutrition Universal Screening Tool. Among the entire cohort, twenty-nine patients (40.2%) had longer length of the hospital stay. After adjusted for covariates, multivariate logistic regression analysis revealed that the Subjective Global Assessment had the best predictive power (OR: 3.9; p: 0.02), followed by Nutrition Risk Screening-2002 (OR: 3.8; p: 0.03), and Malnutrition Universal Screening Tool (OR: 2.9; p: 0.02).&#x0D; Conclusion: Malnutrition assessed by the Subjective Global Assessment, Nutrition Risk Screening-2002 and Malnutrition Universal Screening Tool on admission predict prolonged length of hospital stay in hospitalized older patients.