Control in the Hospital by Extensive Clinical rules for Unplanned hospitalizations in older Patients (CHECkUP); study design of a multicentre randomized study.

BACKGROUND: Due to ageing of the population the incidence of multimorbidity and polypharmacy is rising. Polypharmacy is a risk factor for medication-related (re)admission and therefore places a significant burden on the healthcare system. The reported incidence of medication-related (re)admissions varies widely due to the lack of a clear definition. Some medications are known to increase the risk for medication-related admission and are therefore published in the triggerlist of the Dutch guideline for Polypharmacy in older patients. Different interventions to support medication optimization have been studied to reduce medication-related (re)admissions. However, the optimal template of medication optimization is still unknown, which contributes to the large heterogeneity of their effect on hospital readmissions. Therefore, we implemented a clinical decision support system (CDSS) to optimize medication lists and investigate whether continuous use of a CDSS reduces the number of hospital readmissions in older patients, who previously have had an unplanned probably medication-related hospitalization. METHODS: The CHECkUP study is a multicentre randomized study in older (≥60 years) patients with an unplanned hospitalization, polypharmacy (≥5 medications) and using at least two medications from the triggerlist, from Zuyderland Medical Centre and Maastricht University Medical Centre+ in the Netherlands. Patients will be randomized. The intervention consists of continuous (weekly) use of a CDSS, which generates a Medication Optimization Profile, which will be sent to the patient's general practitioner and pharmacist. The control group will receive standard care. The primary outcome is hospital readmission within 1 year after study inclusion. Secondary outcomes are one-year mortality, number of emergency department visits, nursing home admissions, time to hospital readmissions and we will evaluate the quality of life and socio-economic status. DISCUSSION: This study is expected to add evidence on the knowledge of medication optimization and whether use of a continuous CDSS ameliorates the risk of adverse outcomes in older patients, already at an increased risk of medication-related (re)admission. To our knowledge, this is the first large study, providing one-year follow-up data and reporting not only on quality of care indicators, but also on quality-of-life. TRIAL REGISTRATION: The trial was registered in the Netherlands Trial Register on October 14, 2018, identifier: NL7449 (NTR7691). https://www.trialregister.nl/trial/7449 .

Mortality in hip fracture patients after implementation of a nurse practitioner-led orthogeriatric care program: results of a 1-year follow-up.

BACKGROUND: Hip fractures are a major cause of mortality and disability in frail older adults. Therefore, orthogeriatrics has been embraced to improve patient outcomes. With the optimal template of orthogeriatric care still unknown, and to curtail rising healthcare expenditure we implemented a nurse practitioner-led orthogeriatric care program (NPOCP). The objective was to evaluate NPOCP by measuring 3-month and 1-year mortality, compared to usual care (UC). In addition, length of stay (LOS) and location of hospital discharge were reported. METHODS: An anonymised data set, of hip fracture patients (n = 300) who presented to Maastricht University Medical Centre, the Netherlands, a level-1 trauma centre, was used. NPOCP was implemented on one of two surgical wards, while the other ward received UC. Patient allocation to these wards was random. RESULTS: In total, 144 patients received NPOCP and 156 received UC. In the NPOCP, 3-month and 1-year mortality rates were 9.0% and 13.9%, compared to 24.4% and 34.0% in the UC group (P < 0.001). The adjusted hazard ratio (aHR) for 3-month (aHR 0.50 [95%CI: 0.26-0.97]) and 1-year mortality (aHR 0.50 [95%CI: 0.29-0.85]) remained lower in NPOCP compared to UC. Median LOS was 9 days [IQR 5-13] in patients receiving UC and 7 days [IQR 5-13] in patients receiving NPOCP (P = 0.08). Thirty-eight (27.5%) patients receiving UC and fifty-seven (40.4%) patients receiving NPOCP were discharged home (P = 0.023). CONCLUSION: Implementation of NPOCP was associated with significantly reduced mortality in hip fracture patients and may contribute positively to high-quality care and improve outcomes in the frail orthogeriatric population.

Clinical Decision Support Systems in Hospitalized Older Patients: An Exploratory Analysis in a Real-Life Clinical Setting.

BACKGROUND: Inappropriate prescribing is associated with negative patient outcomes. In hospitalized patients, the use of Clinical Decision Support Systems (CDSSs) may reduce inappropriate prescribing and thereby improve patient-related outcomes. However, recently published large clinical trials (OPERAM and SENATOR) have shown negative results on the use of CDSSs and patient outcomes and strikingly low acceptance of recommendations. OBJECTIVE: The purpose of the present study was to investigate the use of a CDSS in a real-life clinical setting of hospitalized older patients. As such, we report on the real-life pattern of this in-hospital implemented CDSS, including (i) whether generated alerts were resolved; (ii) whether a recorded action by the pharmacist led to an improved number of resolved alerts; and (iii) the natural course of generated alerts, in particular of those in the non-intervention group; as these data are largely lacking in current studies. METHODS: Hospitalized patients, aged 60 years and older, admitted to Zuyderland Medical Centre, the Netherlands, in 2018 were included. The evaluation of the CDSS was investigated using a database used for standard care. Alongside demographic and clinical data, we also collected the total numbers of CDSS alerts, the number of alerts 'handled' by the pharmacist, those that resulted in an action by the pharmacist, and finally the outcome of the alerts at day 1 and day 3 after the alert was generated. RESULTS: A total of 3574 unique hospitalized patients, mean age 76.7 (SD 8.3) years and 53% female, were included. From these patients, 8073 alerts were generated, of which 7907 (97.9% of total) were handled by the pharmacist (day 1). In 51.6% of the alerts handled by the pharmacist, an action was initiated, resulting in 36.1% of the alerts resolved after day 1, compared with 27.3% if the pharmacist did not perform an action (p < 0.001). On day 3, in 52.6% of the alerts an action by the pharmacist was initiated, resulting in 62.4% resolved alerts, compared with 48.0% when no action was performed (p < 0.001). In the category renal function, the percentages differed significantly between an action versus no action of the pharmacist at day 1 and at day 3 (16.6% vs 10.6%, p < 0.001 [day 1]; 29.8% vs 19.4%, p < 0.001 [day 3]). CONCLUSION: This study demonstrates the pattern and natural course of clinical alerts of an in-hospital implemented CDSS in a real-life clinical setting of hospitalized older patients. Besides the already known beneficial effect of actions by pharmacists, we have also shown that many alerts become resolved without any specific intervention. As such, our study provides an important insight into the spontaneous course of resolved alerts, since these data are currently lacking in the literature.

Associations between presence of diabetes, mortality and fracture type in individuals with a hip fracture.

AIMS: An overlooked aspect of diabetes is an increased risk of hip fractures, with associated mortality. We investigated whether fracture type and/or burden of comorbidities explains the increased risk of mortality in diabetes after hip fracture. METHODS: For this cohort study, we used a de-identified data set of hip fracture patients registered in a quality-of-care registry (2017/2018) included in Maastricht University Medical Centre. RESULTS: Among 594 hip fracture patients, 90 (15.2 %) had diabetes. Median (IQR) age was 82 (71-87) years and 63.8 % were women. Compared to patients without, patients with diabetes had higher median Charlson Comorbidity Index [1 (0-2) vs 0 (0-2), P < 0.001)] and were more likely to sustain intertrochanteric/subtrochanteric fractures [54.4 vs 38.7 %, P = 0.02]. Over a median follow-up of 2.7 (1.6-3.3) years, crude mortality rate was 30.8 % in patients without and 50.0 % in patients with diabetes. This association remained unaltered after adjustment for age, sex, BMI, fracture type or burden of co-morbidities. CONCLUSION: Individuals with diabetes display a greatly increased absolute mortality risk after hip fracture. This association was not attenuated after adjustment for fracture type or non-diabetes associated co-morbidity. These findings have important implications for diabetes care in hip fracture patients, and underline the importance of fracture prevention.

Performance of prediction models for short-term outcome in COVID-19 patients in the emergency department: a retrospective study.

INTRODUCTION: Coronavirus disease 2019 (COVID-19) has a high burden on the healthcare system. Prediction models may assist in triaging patients. We aimed to assess the value of several prediction models in COVID-19 patients in the emergency department (ED). METHODS: In this retrospective study, ED patients with COVID-19 were included. Prediction models were selected based on their feasibility. Primary outcome was 30-day mortality, secondary outcomes were 14-day mortality and a composite outcome of 30-day mortality and admission to medium care unit (MCU) or intensive care unit (ICU). The discriminatory performance of the prediction models was assessed using an area under the receiver operating characteristic curve (AUC). RESULTS: We included 403 patients. Thirty-day mortality was 23.6%, 14-day mortality was 19.1%, 66 patients (16.4%) were admitted to ICU, 48 patients (11.9%) to MCU, and 152 patients (37.7%) met the composite endpoint. Eleven prediction models were included. The RISE UP score and 4 C mortality scores showed very good discriminatory performance for 30-day mortality (AUC 0.83 and 0.84, 95% CI 0.79-0.88 for both), significantly higher than that of the other models. CONCLUSION: The RISE UP score and 4 C mortality score can be used to recognise patients at high risk for poor outcome and may assist in guiding decision-making and allocating resources.

Mortality and the Use of Antithrombotic Therapies Among Nursing Home Residents with COVID-19.

BACKGROUND/OBJECTIVES: Nursing home (NH) residents are a vulnerable population, susceptible to respiratory disease outbreaks such as coronavirus disease 2019 (COVID-19). Poor outcome in COVID-19 is at least partly attributed to hypercoagulability, resulting in a high incidence of thromboembolic complications. It is unknown whether commonly used antithrombotic therapies may protect the vulnerable NH population with COVID-19 against mortality. This study aimed to investigate whether the use of oral antithrombotic therapy (OAT) was associated with a lower mortality in NH residents with COVID-19. DESIGN: A retrospective case series. SETTING: Fourteen NH facilities from the NH organization Envida, Maastricht, the Netherlands PARTICIPANTS: A total of 101 NH residents with COVID-19 were enrolled. MEASUREMENTS: The primary outcome was all-cause mortality. The association between age, sex, comorbidity, OAT, and mortality was assessed using logistic regression analysis. RESULTS: Overall mortality was 47.5% in NH residents from 14 NH facilities. Age, comorbidity, and medication use were comparable among NH residents who survived and who died. OAT was associated with a lower mortality in NH residents with COVID-19 in the univariable analysis (odds ratio (OR) = 0.89; 95% confidence interval (CI) = 0.41-1.95). However, additional adjustments for sex, age, and comorbidity attenuated this difference. Mortality in males was higher compared with female residents (OR = 3.96; 95% CI = 1.62-9.65). Male residents who died were younger compared with female residents (82.2 (standard deviation (SD) = 6.3) vs 89.1 (SD = 6.8) years; P < .001). CONCLUSION: NH residents in the 14 facilities we studied were severely affected by the COVID-19 pandemic, with a mortality of 47.5%. Male NH residents with COVID-19 had worse outcomes than females. We did not find evidence for any protection against mortality by OAT, necessitating further research into strategies to mitigate poor outcome of COVID-19 in vulnerable NH populations. J Am Geriatr Soc 68:1647-1652, 2020.