Comorbidity-polypharmacy score predicts readmission in older trauma patients

Perioperative liberal drinking management promotes postoperative gastrointestinal function recovery after gynecological laparoscopic surgery: A randomized controlled trial

STUDY OBJECTIVE

This study aims to evaluate the effect of perioperative liberal drinking management, including preoperative carbohydrate loading (PCL) given 2 h before surgery and early oral feeding (EOF) at 6 h postoperatively, in enhancing postoperative gastrointestinal function and improving outcomes in gynecologic patients. The hypotheses are that the perioperative liberal drinking management accelerates the recovery of gastrointestinal function, enhances dietary tolerance throughout hospitalization, and ultimately reduces the length of hospitalization.

DESIGN

A prospective randomized controlled trial.

SETTING

Operating room and gynecological ward in Wuhan Union Hospital.

PATIENTS

We enrolled 210 patients undergoing elective gynecological laparoscopic surgery, and 157 patients were included in the final analysis.

INTERVENTIONS

Patients were randomly allocated in a 1:1:1 ratio into three groups, including the control, PCL, and PCL-EOF groups. The anesthetists and follow-up staff were blinded to group assignment.

MEASUREMENTS

The primary outcome was the postoperative Intake, Feeling nauseated, Emesis, Examination, and Duration of symptoms (I-FEED) score (range 0 to 14, higher scores worse). Secondary outcomes included the incidence of I-FEED scores >2, and other additional indicators to monitor postoperative gastrointestinal function, including time to first flatus, time to first defecation, time to feces Bristol grade 3-4, and time to tolerate diet. Additionally, we collected other ERAS recovery indicators, including the incidence of PONV, complications, postoperative pain score, satisfaction score, and the quality of postoperative functional recovery at discharge.

MAIN RESULTS

The PCL-EOF exhibited significantly enhanced gastrointestinal function recovery compared to control group and PCL group (p < 0.05), with the lower I-FEED score (PCL: 0[0,1] vs. PCL-EOF: 0[0,0] vs. control: 1[0,2]) and the reduced incidence of I-FEED >2 (PCL:8% vs. PCL-EOF: 2% vs. control:21%). Compared to the control, the intervention of PCL-EOF protected patients from the incidence of I-FEED score > 2 [HR:0.09, 95%CI (0.01-0.72), p = 0.023], and was beneficial in promoting the patient's postoperative first flatus [PCL-EOF: HR:3.33, 95%CI (2.14-5.19),p < 0.001], first defecation [PCL-EOF: HR:2.76, 95%CI (1.83-4.16), p < 0.001], Bristol feces grade 3-4 [PCL-EOF: HR:3.65, 95%CI (2.36-5.63), p < 0.001], first fluid diet[PCL-EOF: HR:2.76, 95%CI (1.83-4.16), p < 0.001], and first normal diet[PCL-EOF: HR:6.63, 95%CI (4.18-10.50), p < 0.001]. Also, the length of postoperative hospital stay (PCL-EOF: 5d vs. PCL: 6d and control: 6d, p < 0.001), the total cost (PCL-EOF: 25052 ± 3650y vs. PCL: 27914 ± 4684y and control: 26799 ± 4775y, p = 0.005), and postoperative VAS pain score values [POD0 (PCL-EOF: 2 vs. control: 4 vs. PCL: 4, p < 0.001), POD1 (PCL-EOF: 1 vs. control: 3 vs. PCL: 2, p < 0.001), POD2 (PCL-EOF: 1 vs. control:2 vs. PCL: 1, p < 0.001), POD3 (PCL-EOF: 0 vs. control: 1 vs. PCL: 1, p < 0.001)] were significantly reduced in PCL-EOF group.

CONCLUSIONS

Our primary endpoint, I-FEED score demonstrated significant reduction with perioperative liberal drinking, serving as a protective intervention against I-FEED>2. Gastrointestinal recovery metrics, such as time to first flatus and defecation, also showed substantial improvements. Furthermore, the intervention enhanced postoperative dietary tolerance and expedited early recovery.

TRIAL REGISTRATION

ChiCTR2300071047(https://www.chictr.org.cn/).

Identifying factors predicting outcomes after major trauma in older patients: Prognostic systematic review and meta-analysis

INTRODUCTION

Trauma is the most common cause of morbidity and mortality in older people, and it is important to determine the predictors of outcomes after major trauma in older people.

METHODS

MEDLINE, Embase, and Web of Science were searched, and manual search of relevant papers since 1987 to February 2023 was performed. Random-effects meta-analyses were performed. The primary outcome of interest was mortality, and secondary outcomes were medical complications, length of stay, discharge destination, readmission, and intensive care requirement.

RESULTS

Among 6,064 studies in the search strategy, 136 studies qualified the inclusion criteria. Forty-three factors, ranging from demographics to patient factors, admission measurements, and injury factors, were identified as potential predictors. Mortality was the commonest outcome investigated, and increasing age was associated with increased risk of in-hospital mortality (odds ratio [OR], 1.05; 95% confidence interval [CI], 1.03-1.07) along with male sex (OR, 1.40; 95% CI, 1.24-1.59). Comorbidities of heart disease (OR, 2.59; 95% CI, 1.41-4.77), renal disease (OR, 2.52; 95% CI, 1.79-3.56), respiratory disease (OR, 1.40; 95% CI, 1.09-1.81), diabetes (OR, 1.35; 95% CI, 1.03-1.77), and neurological disease (OR, 1.42; 95% CI, 0.93-2.18) were also associated with increased in-hospital mortality risk. Each point increase in the Glasgow Coma Scale lowered the risk of in-hospital mortality (OR, 0.85; 95% CI, 0.76-0.95), while each point increase in Injury Severity Score increased the risk of in-hospital mortality (OR, 1.07; 95% CI, 1.04-1.09). There were limited studies and substantial variability in secondary outcome predictors; however, medical comorbidities, frailty, and premorbid living condition appeared predictive for those outcomes.

CONCLUSION

This review was able to identify potential predictors for older trauma patients. The identification of these factors allows for future development of risk stratification tools for clinicians.

LEVEL OF EVIDENCE

Systematic Review and Meta-Analysis; Level III.

Combined pre-operative risk score predicts pancreatic leak after pancreatic resection

BACKGROUND

Post-operative pancreatic fistula (POPF) is a major complication following pancreatectomy and is currently difficult to predict pre-operatively. This study aims to validate pre-operative risk factors and develop a novel combined score for the prediction of POPF in the pre-operative setting.

METHODS

Data were collected from 2016 to 2021 for radiologic main pancreatic duct diameter (MPD), body mass index (BMI), physical status classified by American Society of Anesthesiologists (ASA), polypharmacy, mean platelet ratio (MPR), comorbidity-polypharmacy score (CPS), and a novel Combined Pancreatic Leak Prediction Score (CPLPS) (derived from MPD diameter, BMI, and CPS) were obtained from pre-operative data and analyzed for their independent association with POPF occurrence.

RESULTS

In total, 166 patients who underwent pancreatectomy with pancreatic leak (Grade A, B, and C) occurring in 51(30.7%) of patients. Pre-operative radiologic MPD diameter < 4 mm (p < 0.001), < 5 mm (p < 0.001), < 6 mm (p = 0.001), BMI ≥ 25 (p = 0.009), and ≥ 30 (p = 0.017) were independently associated with the occurrence of pancreatic leak. CPLPS was also predictive of pancreatic leak following pancreatectomy on univariate (p = 0.005) and multivariate analysis (p = 0.036).

CONCLUSION

MPD and BMI were independent risk factors predictive for the development of pancreatic leak. CPLPS, was an independent predictor of pancreatic leak following pancreatectomy and could be used to help guide surgical decision making and patient counseling.

Risk Prediction Models for Peri-Operative Mortality in Patients Undergoing Major Vascular Surgery with Particular Focus on Ruptured Abdominal Aortic Aneurysms: A Scoping Review

PURPOSE

The present scoping review aims to describe and analyze available clinical data on the most commonly reported risk prediction indices in vascular surgery for perioperative mortality, with a particular focus on ruptured abdominal aortic aneurysm (rAAA).

MATERIALS AND METHODS

A scoping review following the PRISMA Protocols Extension for Scoping Reviews was performed. Available full-text studies published in English in PubMed, Cochrane and EMBASE databases (last queried, 30 March 2023) were systematically reviewed and analyzed. The Population, Intervention, Comparison, Outcome (PICO) framework used to construct the search strings was the following: in patients with aortic pathologies, in particular rAAA (population), undergoing open or endovascular surgery (intervention), what different risk prediction models exist (comparison), and how well do they predict post-operative mortality (outcomes)?

RESULTS

The literature search and screening of all relevant abstracts revealed a total of 56 studies in the final qualitative synthesis. The main findings of the scoping review, grouped by the risk score that was investigated in the original studies, were synthetized without performing any formal meta-analysis. A total of nine risk scores for major vascular surgery or elective AAA, and 10 scores focusing on rAAA, were identified. Whilst there were several validation studies suggesting that most risk scores performed adequately in the setting of rAAA, none reached 100% accuracy. The Glasgow aneurysm score, ERAS and Vancouver score risk scores were more frequently included in validation studies and were more often used in secondary studies. Unfortunately, the published literature presents a heterogenicity of results in the validation studies comparing the different risk scores. To date, no risk score has been endorsed by any of the vascular surgery societies.

CONCLUSIONS

The use of risk scores in any complex surgery can have multiple advantages, especially when dealing with emergent cases, since they can inform perioperative decision making, patient and family discussions, and post hoc case-mix adjustments. Although a variety of different rAAA risk prediction tools have been published to date, none are superior to others based on this review. The heterogeneity of the variables used in the different scores impairs comparative analysis which represents a major limitation to understanding which risk score may be the "best" in contemporary practice. Future developments in artificial intelligence may further assist surgical decision making in predicting post-operative adverse events.

Impact of the Comorbidity Polypharmacy Score on Clinical Outcome in Patients with Hip Fracture undergoing surgery Using Real-World Data

BACKGROUND

The Comorbidity Polypharmacy Score (CPS) is calculated by the number of drugs carried plus the number of comorbidities on admission and divided into three categories (minor, 0-7; moderate, 8-14; and severe, 15+). This study investigates whether CPS can predict the clinical outcomes in older patients with hip fractures undergoing surgery.

METHODS

This retrospective longitudinal study used a multicenter hospital-based database containing the Diagnosis Procedure Combination. Consecutive patients with hip fractures (ICD-10 codes S720 and S721) who were aged ≥65 years between April 2014 and August 2020 were included. We evaluated the predictive association between the CPS and Barthel Index (BI) efficiency. The primary outcome was defined as the BI efficiency, and the secondary outcome was the length of hospital stay.

RESULTS

We enrolled 11,564 patients, and 80.5% of them were female. The mean age was 83.9 ± 6.5 years. The BI efficiency was the lowest in the CPS severe group with a median [interquartile range] of 0.67 [0.10, 1.43]. The length of hospital stay was the highest in the CPS severe group, with a median of 35 [21, 58]. Additionally, multiple linear regression analysis revealed that the CPS was independently associated with the BI efficiency (β = -0.100, 95% CI: -0.040, -0.029; P < 0.001) and the length of hospital stay (β = 0.047, 95% CI: 0.199, 0.366; P < 0.001).

CONCLUSIONS

An increased CPS score is associated with low BI efficiency and longer length of hospital stay in patients with hip fractures.

Comparing Comorbidity Polypharmacy Score and Charlson Comorbidity Index in predicting outcomes in older trauma patients

BACKGROUND

The Charlson Comorbidity Index (CCI) and Comorbidity Polypharmacy Score (CPS) may potentially risk-stratify older trauma patients more accurately than traditional trauma severity scores. We aim to evaluate if CCI or CPS are better predictors of mortality and discharge venue in such patients.

METHODS

We conducted a retrospective study using registry data from two tertiary trauma centres. Patients aged 65 years and above who presented to the emergency departments (EDs) between January 2011 and December 2015 with traumatic injuries were included. Charts were reviewed for demographics, injury mechanism and severity, discharge outcomes, and types of comorbidities and medications used. Primary outcome was overall mortality; secondary outcomes included ED disposition and hospital discharge venue. Discriminatory power of the score(s) were compared using area under the receiver operating characteristic (AUROC) curve.

RESULTS

There were 2,750 patients, with overall female predominance (56.7%, 1,560/2,750) and median age of 78 years (interquartile range [IQR] 72 to 84 years). Median CCI score was 1 (IQR 0 to 2) and median CPS was 8 (IQR 4 to 12). Overall mortality was 9.4% (259/2,750). Every 1-point increase in CCI score resulted in increased odds of death by 16% (adjusted odds ratio 1.16, 95% confidence interval 1.07 to 1.26, p<0.001). Addition of CCI to the Injury Severity Score (ISS) increased the discriminatory power for mortality (AUROC for ISS = 0.832; AUROC for ISS with CCI = 0.843). Every 1-point increase in CCI was significantly associated with decreased odds of admission to a rehab facility by 8%. CPS did not predict mortality and discharge venue.

CONCLUSION

CCI, but not CPS, was a predictor of mortality. A higher CCI was associated with decreased odds of discharge to a subacute facility, likely related to underlying rehabilitation potential. Further studies should be undertaken to explore an integrated scoring system that considers injury severity, comorbidities, and polypharmacy.

Predictors of hospital readmission after trauma: A retrospective cohort study in New Zealand

INTRODUCTION

Understanding predictors of hospital readmission following major trauma is important as readmissions are costly and some are potentially avoidable. This study describes the incidence of, and sociodemographic, injury-related and treatment-related factors predictive of, hospital readmission related to: a) all-causes, b) the index trauma injury, and c) subsequent injury events in the 30 days and 12 months following discharge for major trauma patients nationally in New Zealand.

METHODS

Data from the New Zealand Trauma Registry (NZTR) was linked with Ministry of Health hospital discharge data. Hospital readmissions were examined for all patients entered into the NZTR for an injury event between 1 January and 31 December 2018. Readmissions were examined for the 12-months following the discharge date for participant's index trauma injury.

RESULTS

Of 1986 people, 42% had ≥1 readmission in the 12 months following discharge; 15% within 30 days. Seven percent had ≥1 readmission related to the index trauma within 30 days of discharge; readmission was 3.43 (95% CI 1.87, 6.29) times as likely if the index trauma was self-inflicted compared to unintentional, and 1.64 (95% CI 1.15, 2.34) times as likely if the index trauma involved intensive care unit admission. Those admitted to hospital for longer for their index trauma were less likely to be readmitted due to their index trauma injury within 30 days compared to those admitted for 0-1 day. Seventeen percent were readmitted for a subsequent injury event within 12 months, with readmission more likely for older people (>65 years), those with comorbidities, Māori compared with non-Māori and those with higher trauma injury severity.

CONCLUSION

A substantial proportion of people are readmitted after discharge for major trauma. Factors identified in this study will be useful to consider when developing interventions to reduce preventable readmissions including those related to the index trauma injury, readmissions from other causes and subsequent injury-related readmissions. Further research specifically examining planned and unplanned readmissions is warranted.

Inappropriate Prescriptions in Older People-Translation and Adaptation to Portuguese of the STOPP/START Screening Tool

Inappropriate prescribing, which encompasses the prescription of potentially inappropriate medications (PIMs) and potential prescribing omissions (PPOs), is a common problem for older people. The STOPP/START tool enables general practitioners, who are the main prescribers, to identify and reduce the incidence of PIMs and PPOs and appraise an older patient’s prescribed drugs during the diagnosis process to improve the clinical care quality. This study aimed to translate and validate the STOPP/START screening tool to enable its use by Portuguese physicians. A translation-back translation method including the validation of the obtained Portuguese version was used. Intra- and inter-rater reliability and agreement analyses were used in the validation process. A dataset containing the information of 334 patients was analyzed by one GP twice within a 2-week interval, while a dataset containing the information of 205 patients was independently analyzed by three GPs. Intra-rater reliability assessment led to a Kappa coefficient (κ) of 0.70 (0.65−0.74) for the STOPP criteria and 0.60 (0.52−0.68) for the START criteria, considered to be substantial and moderate values, respectively. The results of the inter-rater reliability rating were almost perfect for all combinations of raters (κ > 0.93). The version of the STOPP/START criteria translated into Portuguese represents an improvement in managing the medications prescribed to the elderly. It provides clinicians with a screening tool for detecting potentially inappropriate prescribing in patients older than 65 years old that is reliable and easy to use.

Preoperative Polypharmacy in Geriatric Patients is Associated with Increased 90-Day All-Cause Hospital Readmission After Surgery for Adult Spinal Deformity Patients

OBJECTIVE

To investigate the effect of preoperative polypharmacy (PP) on 90-day all-cause readmission rate in older adults undergoing corrective surgery for ASD.

METHODS

Older adults with a diagnosis of ASD undergoing spinal surgery at a quaternary medical center from January 2016 to March 2019 were enrolled in this study. Patients were dichotomized into two groups stratified by the number of preoperative prescription medications; with PP defined as 5 or more prescription medications. The primary outcome measure was 90-day all-cause readmission rate. Secondary outcomes included postoperative changes in health-related quality of life measures.

RESULTS

Among 161 patients (mean [SD], 69.59[8.79] years), 97 patients were included in PP cohort and 64 in non-polypharmacy (non-PP) cohort. Both groups were balanced at baseline. The duration of hospital (5.82[1.93] vs. 6.50[4.00] days), mean number of fusion levels, and duration of surgery was statistically similar between both groups (p>0.05). There was no difference in the proportion of patients discharged directly home (31.25% vs. 40.42%, p=0.36). 90-day all-cause readmission rate was 3-fold higher in the PP cohort compared with the non-PP cohort. After adjusting for preoperative patient optimization, ASA grade, surgical invasiveness, smoking, depression and baseline functional disability, older adults with PP had a 9.79 increased odds of 90-day all-cause hospital readmission (p=0.04). Change in HRQOL measures were similar between both groups.

CONCLUSION

This study's findings indicate that despite preoperative optimization, older adults exposed to polypharmacy are at a significantly increased risk of hospital readmission within 90-days of surgery.

Safety of Elderly Fallers: Identifying Associated Risk Factors for 30-Day Unplanned Readmissions Using a Clinical Data Warehouse

BACKGROUND

Hospital readmissions are a major problem in the older people as they are frequent, costly, and life-threatening. Falls among older adults are the leading cause of injury, deaths, and emergency department visits for trauma.

OBJECTIVE

The main objective was to determine risk factors associated with a 30-day readmission after index hospital admission for fall-related injuries.

METHODS

A retrospective nested case-control study was conducted. Data from elderly patients initially hospitalized for fall-related injuries in 2019, in 11 of the Greater Paris University Hospitals and discharged home, were retrieved from the clinical data warehouse. Cases were admission of elderly patients who subsequently experienced a readmission within 30 days after discharge from the index admission. Controls were admission of elderly patients who were not readmitted to hospital.

RESULTS

Among 670 eligible index admissions, 127 (18.9%) were followed by readmission within 30 days after discharge. After multivariate analysis, men sex (odds ratio [OR] = 2.29, 95% confidence interval [CI] = 1.45-3.61), abnormal concentration of C-reactive protein, and anemia (OR = 2.22, 95% CI = 1.28-3.85; OR = 1.85, 95% CI = 1.11-3.11, respectively) were associated with a higher risk of readmission. Oppositely, having a traumatic injury at index admission decreased this risk (OR = 0.47, 95% CI = 0.28-0.81).

CONCLUSIONS

Reducing early unplanned readmission is crucial, especially in elderly patients susceptible to falls. Our results indicate that the probability of unplanned readmission is higher for patients with specific characteristics that should be taken into consideration in interventions designed to reduce this burden.

Polypharmacy in older adults: a narrative review of definitions, epidemiology and consequences

BACKGROUND

The number of older adults has been constantly growing around the globe. Consequently, multimorbidity and related polypharmacy have become an increasing problem. In the absence of an accepted agreement on the definition of polypharmacy, data on its prevalence in various studies are not easily comparable. Besides, the evidence on the potential adverse clinical outcomes related to polypharmacy is limited though polypharmacy has been linked to numerous adverse clinical outcomes. This narrative review aims to find and summarize recent publications on definitions, epidemiology and clinical consequences of polypharmacy.

METHODS

The MEDLINE database was used to identify recent publications on the definition, prevalence and clinical consequences of polypharmacy using their respective common terms and their variations. Systematic reviews and original studies published between 2015 and 2020 were included.

RESULTS

One hundred and forty-three definitions of polypharmacy and associated terms were found. Most of them are numerical definitions. Its prevalence ranges from 4% among community-dwelling older people to over 96.5% in hospitalized patients. In addition, numerous adverse clinical outcomes were associated with polypharmacy.

CONCLUSION

The term polypharmacy is imprecise, and its definition is yet subject to an ongoing debate. The clinically oriented definitions of polypharmacy found in this review such as appropriate or necessary polypharmacy are more useful and relevant. Regardless of the definition, polypharmacy is highly prevalent in older adults, particularly in nursing home residents and hospitalized patients. Approaches to increase the appropriateness of polypharmacy can improve clinical outcomes in older adults.

Investigating the characteristics and needs of frequently admitting hospital patients: a cross-sectional study in the UK

OBJECTIVES

This study forms the user requirements phase of the OPTIMAL project, which, through a predictive model and supportive intervention, aims to decrease early hospital readmissions. This phase aims to investigate the needs and characteristics of patients who had been admitted to hospital ≥2 times in the past 12 months.

SETTING

This was a cross-sectional study involving patients from Croydon University Hospital (CUH), London, UK.

PARTICIPANTS

A total of 347 patients responded to a postal questionnaire, a response rate of 12.7%. To meet the inclusion criteria, participants needed to be aged ≥18 and have been admitted ≥2 times in the previous 12 months (August 2014-July 2015) to CUH.

PRIMARY AND SECONDARY OUTCOMES

To profile patients identified as frequent admitters to assess gaps in care at discharge or post-discharge. Additionally, to understand the patients' experience of admission, discharge and post-discharge care.

RESULTS

The range of admissions in the past 12 months was 2-30, with a mean of 2.8. At discharge 72.4% (n=231/347) were not given a contact for out-of-hours help. Regression analysis identified patient factors that were significantly associated with frequent admissions (>2 in 12 months), which included age (p=0.008), being in receipt of care (p=0.005) and admission due to a fall (p=0.01), but not receiving polypharmacy. Post-discharge, 41.8% (n=145/347) were concerned about being readmitted to the hospital. In the first 30 days after discharge, over half of patients (54.5% n=189/347) had no contact from a healthcare professional.

CONCLUSION

Considering that social care needs were more of a determinant of admission risk than medical needs, rectifying the lack of integration, communication and the under-utilisation of existing patient services could prevent avoidable problems during the transition of care and help decrease the likelihood of hospital readmission.

The Comorbidity-Polypharmacy Score is an Objective and Practical Predictor of Outcomes and Mortality after Vascular Surgery

BACKGROUND

The comorbidity-polypharmacy score (CPPS) was developed to quantify the severity of comorbidities of patients with geriatric trauma. CPPS is the sum of the number of medications and comorbidities, and is thus objective, user-friendly, and potentially adaptable to many clinical situations. We sought to understand if CPPS associates with outcomes and mortality after common vascular surgery procedures.

METHODS

This is a retrospective single-center study. A total of 466 patients who underwent carotid endarterectomy, infrainguinal bypass, percutaneous lower extremity revascularization, or endovascular abdominal aortic aneurysm repair at a single medical center were included. CPPS were classified as mild, moderate, severe, and morbid based on scores of 0-7, 8-15, 15-21, and ≥21, respectively. End points were reinterventions, 30-day readmission, and mortality. We used chi-squared tests to analyze differences in categorical variables; Kruskal-Wallis tests to analyze differences in continuous variables; Kaplan-Meier estimation and Cox proportional hazard modeling to examine survival data; and receiver operator characteristic (ROC) curve analyses to assess sensitivity and specificity.

RESULTS

The mean preoperative CPPS was 14.1 ± 6.1. Higher CPPS were associated with longer hospital and postoperative length of stay (P < 0.001). Severe and morbid CPPS categories had higher rates of ICU admission, reintervention, and 30-day readmission which did not reach statistical significance after correction for multiple comparisons. CPPS was independently associated with 1- and 5-year mortality in a multivariable Cox model (hazard ratio = 2.2, 95% confidence interval: 1.3-3.3). ROC analysis revealed C-statistics of 0.81 and 0.72 for 1-year and 5-year all-cause mortality, respectively (P < 0.001).

CONCLUSIONS

CPPS is a simple and pragmatic clinical tool for quantifying risk of postoperative outcomes and mortality after common vascular surgery procedures. Further investigation is needed to validate the use of CPPS in enhancing existing predictors of patient outcomes and in serving as an adjunctive tool for determining resource allocation and discharge planning in patients who underwent vascular surgery.

Incidence of Unplanned 30-Day Readmissions in Adult Burn Patients in the United States

This study characterizes adult burn readmissions in the United States using a nationally representative hospital inpatient sample. Readmission rates, diagnoses, and risk factors are discussed. We analyzed the 2013 and 2014 Nationwide Readmission Database for adult burn patients. The data were weighted to estimate national 30-day readmission rates. Principal readmission diagnoses were sorted into burn-specific or other readmission categories. We used multivariable logistic regression to assess the effects of patient and hospital stay risk factors on readmissions. An estimated 42,957 U.S. adult burn patients were discharged between January and November of 2013 and 2014. Of these patients, an estimated 3203 had unscheduled readmissions within 30 days (all-cause readmission rate: 7.5%, 95% CI: 6.7-8.2). An estimated 55.4 per cent of unplanned readmissions were for burn-specific principal readmission diagnoses. Burn-specific readmission was associated with burn severity and increased with both patient age and the number of comorbidities. Patients whose length of stay was less than 1 day per % total body surface area (%TBSA) burned had higher readmission risk (Adjusted odds ratio = 2.10, 95% CI = 1.48-2.99). The results of logistic regression models were similar for burn-specific readmissions and all-cause readmissions. In a nationally representative sample of adult burn patients, 4.1 per cent had unplanned 30-day readmissions for burn-specific reasons; 7.5 per cent were readmitted for any reason. Patient comorbidities and discharge before 1 day per %TBSA from the hospital impact readmission risk. Healthcare providers can use this information to identify at-risk patients, modify their treatment plans, and prevent readmissions.

High-risk medications in older patients with trauma: a cross-sectional study of risk mitigation

Background

The Beers Criteria for Potentially Inappropriate Medication Use inOlder Adults is a framework that can assess the nature of high-risk medication use. The objective of this study was to use the Beers Criteria to assess the prevalence and nature of polypharmacy, the magnitude of medication changes during the hospital stay and the impact of Beers Criteria medications on outcomes in older patients with trauma.

Methods

We used the Alberta Trauma Registry to conduct a retrospective review of patients aged 65 years or older with major trauma (Injury Severity Score ≥ 12) who were admitted to a level 1 trauma centre between January 2013 and December 2014. We analyzed changes in medication prescriptions during the hospital stay using descriptive statistics and assessed the association between Beers Criteria medications and relevant outcomes using multivariable regression analysis.

Results

There was no significant change in the number of Beers Criteria medications prescribed before and after admission. The adjusted odds ratio for 30-day mortality for each additional Beers Criteria medication prescribed was 2.02 (95% confidence interval [CI] 1.16–3.51) versus 1.24 (95% CI 1.04–1.59) for each additional medication of any type. The corresponding adjusted incidence rate ratios for length of stay were 1.15 (95% CI 1.03–1.30) versus 1.05 (95% CI 1.01–1.10).

Conclusion

Beers Criteria medications were not discontinued during trauma admissions. Using the Beers Criteria as a process indicator for quality improvement in trauma care may provide interdisciplinary trauma teams an opportunity to audit patient medications and stop potentially harmful medications in a vulnerable population.

The contribution of frailty, cognition, activity of daily life and comorbidities on outcome in acutely admitted patients over 80 years in European ICUs: the VIP2 study

Purpose

Premorbid conditions affect prognosis of acutely-ill aged patients. Several lines of evidence suggest geriatric syndromes need to be assessed but little is known on their relative effect on the 30-day survival after ICU admission. The primary aim of this study was to describe the prevalence of frailty, cognition decline and activity of daily life in addition to the presence of comorbidity and polypharmacy and to assess their influence on 30-day survival.

Methods

Prospective cohort study with 242 ICUs from 22 countries. Patients 80 years or above acutely admitted over a six months period to an ICU between May 2018 and May 2019 were included. In addition to common patients’ characteristics and disease severity, we collected information on specific geriatric syndromes as potential predictive factors for 30-day survival, frailty (Clinical Frailty scale) with a CFS > 4 defining frail patients, cognitive impairment (informant questionnaire on cognitive decline in the elderly (IQCODE) with IQCODE ≥ 3.5 defining cognitive decline, and disability (measured the activity of daily life with the Katz index) with ADL ≤ 4 defining disability. A Principal Component Analysis to identify co-linearity between geriatric syndromes was performed and from this a multivariable model was built with all geriatric information or only one: CFS, IQCODE or ADL. Akaike’s information criterion across imputations was used to evaluate the goodness of fit of our models.

Results

We included 3920 patients with a median age of 84 years (IQR: 81–87), 53.3% males). 80% received at least one organ support. The median ICU length of stay was 3.88 days (IQR: 1.83–8). The ICU and 30-day survival were 72.5% and 61.2% respectively. The geriatric conditions were median (IQR): CFS: 4 (3–6); IQCODE: 3.19 (3–3.69); ADL: 6 (4–6); Comorbidity and Polypharmacy score (CPS): 10 (7–14). CFS, ADL and IQCODE were closely correlated. The multivariable analysis identified predictors of 1-month mortality (HR; 95% CI): Age (per 1 year increase): 1.02 (1.–1.03, p = 0.01), ICU admission diagnosis, sequential organ failure assessment score (SOFA) (per point): 1.15 (1.14–1.17, p < 0.0001) and CFS (per point): 1.1 (1.05–1.15, p < 0.001). CFS remained an independent factor after inclusion of life-sustaining treatment limitation in the model.

Conclusion

We confirm that frailty assessment using the CFS is able to predict short-term mortality in elderly patients admitted to ICU. Other geriatric syndromes do not add improvement to the prediction model. Since CFS is easy to measure, it should be routinely collected for all elderly ICU patients in particular in connection to advance care plans, and should be used in decision making.

Electronic supplementary material

The online version of this article (10.1007/s00134-019-05853-1) contains supplementary material, which is available to authorized users.

Impact of frailty and anticoagulation status on readmission and mortality rates following falls in patients over 80

Falls are the leading cause of trauma-related mortality in geriatric patients. We hypothesized that frailty and anticoagulation status are risk factors for readmission and mortality following falls in patients >80 years. A retrospective review was performed on patients over 80 years old who presented to our level 1 trauma center for a fall and underwent a computed tomography of the head between January 2014 and January 2016. Frailty was assessed via the Rockwood Frailty Score. Clinical outcomes were death, readmission, recurrent falls, and delayed intracranial hemorrhage. Of 803 fall-related encounters, 173 patients over 80 years old were identified for inclusion. The 30-day readmission rate was 17.5% and was associated with an increased 6-month mortality (P = 0.01). One-year and 2-year mortality rates were 28% and 47%, respectively. Frailty was the strongest predictor of 6-month and overall mortality (P < 0.01). Anticoagulation status did not significantly influence these outcomes. The recurrent fall rate was 21%, and delayed intracranial hemorrhage did not occur in this study. Mortality of octogenarians after a fall is most influenced by patient frailty. Acknowledgment of frailty, risk of recurrent falls, and increased mortality should direct goals of care for geriatric trauma patients.

Older Adult Preferences of Mobile Application Functionality Supporting Medication Self-Management

Health systems and insurers alike are increasingly interested in leveraging mHealth (mobile health) tools to support patient health-related behaviors including medication adherence. However, these tools are not widely used by older patients. This study explores patient preferences for functionality in a smartphone application (app) that supports medication self-management among older adults with multiple chronic conditions. We conducted six discussion groups in Chicago, Miami, and Denver (N = 46). English-speaking older adults (55 and older) who owned smartphones and took five or more prescription medicines were invited to participate. Discussions covered familiarity with and use of current apps and challenges with taking multidrug regimens. Participants reviewed a range of possible mobile app functions and were asked to give feedback regarding the acceptability and desirability of each to support medication management. Very few participants (n = 3) reported current use of a mobile app for medication support, although all were receptive. Challenges to medication use were forgetfulness, fear of adverse events, and managing medication information from multiple sources. Desired features included (1) a list and consolidated schedule of medications, (2) identification and warning of unsafe medication interactions, (3) reminder alerts to take medicine, and (4) the ability record when medications were taken. Features relating to refill ordering, pharmacy information, and comparing costs for medication were not considered to be as important for an app.

Chronic conditions and multimorbidity in a primary care population: a study in the Swiss Sentinel Surveillance Network (Sentinella)

OBJECTIVES

To provide estimates of the prevalence of chronic conditions in Swiss primary care.

METHODS

In total, 175 general practitioners (GP) or pediatricians (PED) reporting to the Swiss Sentinel Surveillance Network collected morbidity data.

RESULTS

In 26,853 patient contacts, mean (± SD) age was 55.8 ± 21.6 or 6.1 ± 5.7 years (in GPs vs. PEDs, respectively) and 47% were males. In GP patients, median Thurgau Morbidity Index was 2 (IQR 1-3). The median numbers of chronic conditions and permanently used prescribed drugs were 2 (0-5) and 2 (1-4), respectively; in PEDs medians were 0. Out of all patients, 16.7 and 7.0% of the PED patients were hospitalized during the previous year; patients cared by family/proxies or community nurses were hospitalized significantly more often than patients living in homes (50.1 vs. 35.4%, OR 1.41, p < 0.001). Out of patients over 80 years of age, 51.5% were care dependent and 45.5% of the patients over 90 years were living in homes for the elderly.

CONCLUSIONS

In a representative sample of Swiss primary care patients, a substantial part shows multimorbidity with a high prevalence of chronic diseases, multiple drug treatment, and care dependency. These data may serve to be compared with other patient groups or other primary care systems. Trial registration www.clinicaltrials.gov NCT0229537, national study registry www.kofam.ch SNCTP000001207.

What do we know about frailty in the acute care setting? A scoping review

Background

The ability of acute care providers to cope with the influx of frail older patients is increasingly stressed, and changes need to be made to improve care provided to older adults. Our purpose was to conduct a scoping review to map and synthesize the literature addressing frailty in the acute care setting in order to understand how to tackle this challenge. We also aimed to highlight the current gaps in frailty research.

Methods

This scoping review included original research articles with acutely-ill Emergency Medical Services (EMS) or hospitalized older patients who were identified as frail by the authors. We searched Medline, CINAHL, Embase, PsycINFO, Eric, and Cochrane from January 2000 to September 2015.

Results

Our database search initially resulted in 8658 articles and 617 were eligible. In 67% of the articles the authors identified their participants as frail but did not report on how they measured frailty. Among the 204 articles that did measure frailty, the most common disciplines were geriatrics (14%), emergency department (14%), and general medicine (11%). In total, 89 measures were used. This included 13 established tools, used in 51% of the articles, and 35 non-frailty tools, used in 24% of the articles. The most commonly used tools were the Clinical Frailty Scale, the Frailty Index, and the Frailty Phenotype (12% each). Most often (44%) researchers used frailty tools to predict adverse health outcomes. In 74% of the cases frailty predicted the outcome examined, typically mortality and length of stay.

Conclusions

Most studies (83%) were conducted in non-geriatric disciplines and two thirds of the articles identified participants as frail without measuring frailty. There was great variability in tools used and more recently published studies were more likely to use established frailty tools. Overall, frailty appears to be a good predictor of adverse health outcomes. For frailty to be implemented in clinical practice frailty tools should help formulate the care plan and improve shared decision making. How this will happen has yet to be determined.

Electronic supplementary material

The online version of this article (10.1186/s12877-018-0823-2) contains supplementary material, which is available to authorized users.

US pediatric trauma patient unplanned 30-day readmissions

PURPOSE

We sought to determine readmission rates and risk factors for acutely injured pediatric trauma patients.

METHODS

We produced 30-day unplanned readmission rates for pediatric trauma patients using the 2013 National Readmission Database (NRD).

RESULTS

In US pediatric trauma patients, 1.7% had unplanned readmissions within 30days. The readmission rate for patients with index operating room procedures was no higher at 1.8%. Higher readmission rates were seen in patients with injury severity scores (ISS)=16-24 (3.4%) and ISS ≥25 (4.9%). Higher rates were also seen in patients with LOS beyond a week, severe abdominal and pelvic region injuries (3.0%), crushing (2.8%) and firearm injuries (4.5%), and in patients with fluid and electrolyte disorders (3.9%). The most common readmission principal diagnoses were injury, musculoskeletal/integumentary diagnoses and infection. Nearly 39% of readmitted patients required readmission operative procedures. Most common were operations on the musculoskeletal system (23.9% of all readmitted patients), the integumentary system (8.6%), the nervous system (6.6%), and digestive system (2.5%).

CONCLUSIONS

Overall, the readmission rate for pediatric trauma patients was low. Measures of injury severity, specifically length of stay, were most useful in identifying those who would benefit from targeted care coordination resources.

LEVEL OF EVIDENCE

This is a Level III retrospective comparative study.

What is polypharmacy? A systematic review of definitions

BACKGROUND

Multimorbidity and the associated use of multiple medicines (polypharmacy), is common in the older population. Despite this, there is no consensus definition for polypharmacy. A systematic review was conducted to identify and summarise polypharmacy definitions in existing literature.

METHODS

The reporting of this systematic review conforms to the Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) checklist. MEDLINE (Ovid), EMBASE and Cochrane were systematically searched, as well as grey literature, to identify articles which defined the term polypharmacy (without any limits on the types of definitions) and were in English, published between 1st January 2000 and 30th May 2016. Definitions were categorised as i. numerical only (using the number of medications to define polypharmacy), ii. numerical with an associated duration of therapy or healthcare setting (such as during hospital stay) or iii. Descriptive (using a brief description to define polypharmacy).

RESULTS

A total of 1156 articles were identified and 110 articles met the inclusion criteria. Articles not only defined polypharmacy but associated terms such as minor and major polypharmacy. As a result, a total of 138 definitions of polypharmacy and associated terms were obtained. There were 111 numerical only definitions (80.4% of all definitions), 15 numerical definitions which incorporated a duration of therapy or healthcare setting (10.9%) and 12 descriptive definitions (8.7%). The most commonly reported definition of polypharmacy was the numerical definition of five or more medications daily (n = 51, 46.4% of articles), with definitions ranging from two or more to 11 or more medicines. Only 6.4% of articles classified the distinction between appropriate and inappropriate polypharmacy, using descriptive definitions to make this distinction.

CONCLUSIONS

Polypharmacy definitions were variable. Numerical definitions of polypharmacy did not account for specific comorbidities present and make it difficult to assess safety and appropriateness of therapy in the clinical setting.

Geriatric Patient Safety Indicators Based on Linked Administrative Health Data to Assess Anticoagulant-Related Thromboembolic and Hemorrhagic Adverse Events in Older Inpatients: A Study Proposal

Background

Frail older people with multiple interacting conditions, polypharmacy, and complex care needs are particularly exposed to health care-related adverse events. Among these, anticoagulant-related thromboembolic and hemorrhagic events are particularly frequent and serious in older inpatients. The growing use of anticoagulants in this population and their substantial risk of toxicity and inefficacy have therefore become an important patient safety and public health concern worldwide. Anticoagulant-related adverse events and the quality of anticoagulation management should thus be routinely assessed to improve patient safety in vulnerable older inpatients.

Objective

This project aims to develop and validate a set of outcome and process indicators based on linked administrative health data (ie, insurance claims data linked to hospital discharge data) assessing older inpatient safety related to anticoagulation in both Switzerland and France, and enabling comparisons across time and among hospitals, health territories, and countries. Geriatric patient safety indicators (GPSIs) will assess anticoagulant-related adverse events. Geriatric quality indicators (GQIs) will evaluate the management of anticoagulants for the prevention and treatment of arterial or venous thromboembolism in older inpatients.

Methods

GPSIs will measure cumulative incidences of thromboembolic and bleeding adverse events based on hospital discharge data linked to insurance claims data. Using linked administrative health data will improve GPSI risk adjustment on patients’ conditions that are present at admission and will capture in-hospital and postdischarge adverse events. GQIs will estimate the proportion of index hospital stays resulting in recommended anticoagulation at discharge and up to various time frames based on the same electronic health data. The GPSI and GQI development and validation process will comprise 6 stages: (1) selection and specification of candidate indicators, (2) definition of administrative data-based algorithms, (3) empirical measurement of indicators using linked administrative health data, (4) validation of indicators, (5) analyses of geographic and temporal variations for reliable and valid indicators, and (6) data visualization.

Results

Study populations will consist of 166,670 Swiss and 5,902,037 French residents aged 65 years and older admitted to an acute care hospital at least once during the 2012-2014 period and insured for at least 1 year before admission and 1 year after discharge. We will extract Swiss data from the Helsana Group data warehouse and French data from the national health insurance information system (SNIIR-AM). The study has been approved by Swiss and French ethics committees and regulatory organizations for data protection.

Conclusions

Validated GPSIs and GQIs should help support and drive quality and safety improvement in older inpatients, inform health care stakeholders, and enable international comparisons. We discuss several limitations relating to the representativeness of study populations, accuracy of administrative health data, methods used for GPSI criterion validity assessment, and potential confounding bias in comparisons based on GQIs, and we address these limitations to strengthen study feasibility and validity.

Temporal variability of readmission determinants in postoperative vascular surgery patients

Introduction:

Clinical information continues to be limited regarding changes in the temporal risk profile for readmissions during the initial postoperative year in vascular surgery patients. We set out to describe the associations between demographics, clinical outcomes, comorbidity indices, and hospital readmissions in a sample of patients undergoing common extremity revascularization or dialysis access (ERDA) procedures. We hypothesized that factors independently associated with readmission will evolve from “short-term” to “long-term” determinants at 30-, 180-, and 360-day postoperative cutoff points.

Methods:

Following IRB approval, medical records of patients who underwent ERDA at two institutions were retrospectively reviewed between 2008 and 2014. Abstracted data included patient demographics, procedural characteristics, the American Society of Anesthesiologists score, Goldman Criteria for perioperative cardiac assessment, the Charlson comorbidity index, morbidity, mortality, and readmission (at 30-, 180-, and 360-days). Univariate analyses were performed for readmissions at each specified time point. Variables reaching statistical significance of P < 0.20 were included in multivariate analyses for factors independently associated with readmission.

Results:

A total of 450 of 744 patients who underwent ERDA with complete medical records were included. Patients underwent either an extremity revascularization (e.g. bypass or endarterectomy, 406/450) or a noncatheter dialysis access procedure (44/450). Sample characteristics included 262 (58.2%) females, mean age 61.4 ± 12.9 years, 63 (14%) emergent procedures, and median operative time 164 min. Median hospital length of stay (index admission) was 4 days. Cumulative readmission rates at 30-, 180-, and 360-day were 12%, 27%, and 35%, respectively. Corresponding mortality rates were 3%, 7%, and 9%. Key factors independently associated with 30-, 180-, and 360-day readmissions evolved over the study period from comorbidity and morbidity-related issues in the short-term to cardiovascular and graft patency issues in the long-term. Any earlier readmission elevated the risk of subsequent readmission.

Conclusions:

We noted important patterns in the temporal behavior of hospital readmission risk in patients undergoing ERDA. Although factors independently associated with readmission were not surprising (e.g. comorbidity profile, cardiovascular status, and graft patency), the knowledge of temporal trends described in this study may help determine clinical risk profiles for individual patients and guide readmission reduction strategies. These considerations will be increasingly important in the evolving paradigm of value-based healthcare.

Upper-Extremity Function Predicts Adverse Health Outcomes among Older Adults Hospitalized for Ground-Level Falls

BACKGROUND

Despite National Surgical Quality Improvement guidelines to integrate frailty into surgical elder assessments, a quick, accurate, and simple frailty assessment tool suitable for busy clinical settings is still not available. Recently, we have demonstrated that a simple upper-extremity function (UEF) test based on wearable sensors could identify frailty with high agreement with conventional assessments by testing 20-s repetitive elbow flexion and extension.

OBJECTIVE

We examined whether UEF parameters are sensitive for predicting adverse health outcomes in bedbound older adults admitted to hospital due to ground-level fall injuries.

STUDY DESIGN

Frailty was assessed in 101 eligible older adults (age: 79 ± 9 years) admitted to a trauma setting using the UEF test at the time of admission. All participants were followed up for 2 months using phone calls and chart reviews. The measured health outcomes included (1) discharge disposition (favorable: discharge home or rehabilitation; unfavorable: discharge to skilled nursing facility or death), (2) hospital length of stay, (3) 30-day readmission, (4) 60-day readmission, and (5) 30-day prospective falls. Multivariate analyses were used to identify independent predictors of adverse health outcomes based on participants' demographic parameters (i.e., age, gender, and body mass index [BMI]) and UEF index.

RESULTS

Based on the UEF frailty status, 53 (52%) of the participants were frail and 48 (48%) were non-frail. Among all adverse health outcomes, age was only a significant predictor of 30-day prospective falls (p = 0.023). On the other hand, the UEF index was a significant predictor of all measured outcomes except hospital length of stay (p < 0.010). Among the UEF parameters, those indicating slowness, weakness, and exhaustion had the highest effect sizes to predict an unfavorable discharge disposition (p < 0.010; effect size = 0.65-0.92).

CONCLUSION

The results of this study suggest that a 20-s UEF test is practical in the trauma setting and could be used as a quick measure for predicting adverse events and outcomes among bedbound patients after discharge. Assessing frailty using UEF may assist in objective triage, treatment, and post-discharge decision-making with regard to geriatric trauma patients.

Comorbidity-Polypharmacy Score as Predictor of Outcomes in Older Trauma Patients: A Retrospective Validation Study

INTRODUCTION

Traditional injury severity assessment is insufficient in estimating the morbidity and mortality risk for older (≥45 years) trauma patients. Commonly used tools involve complex calculations or tables, do not consider all comorbidities, and often rely on data that are not available early in the trauma patient's hospitalization. The comorbidity-polypharmacy score (CPS), a sum of all pre-injury medications and comorbidities, was found in previous studies to independently predict morbidity and mortality in this older patient population. However, these studies are limited by relatively small sample sizes. Consequently, we sought to validate previous research findings in a large, administrative dataset.

METHODS

A retrospective study of patients ages≥45 years was performed using an administrative trauma database from St. Luke's University Hospital's Level I Trauma Center. The study period was from 1 January 2008 to 31 December 2013. Abstracted data included patient demographics, injury mechanism and severity [injury characteristics and severity score (ISS)], Glasgow coma scale (GCS), hospital and intensive care unit lengths of stay (HLOS and ILOS, respectively), morbidity, post-discharge destination, and in-hospital mortality. Univariate analyses were conducted with mortality, all-cause morbidity, and discharge destination as primary end-points. Variables reaching statistical significance (p≤0.20) were included in a multivariate logistic regression model. Data are presented as adjusted odds ratios (AORs), with p<0.05 denoting statistical significance.

RESULTS

A total of 5863 patient records were analyzed. Average patient age was 68.5±15.3 years (52% male, 89% blunt mechanism, mean GCS 14.3). Mean HLOS and ILOS increased significantly with increasing CPS (p<0.01). Independent predictors of mortality included age (AOR 1.05, p<0.01), CPS (per-unit AOR 1.08, p<0.02), GCS (AOR 1.43 per-unit decrease, p<0.01), and ISS (per-unit 1.08, p<0.01). Independent predictors of all-cause morbidity included age (AOR 1.02, p<0.01), GCS (AOR per-unit decrease 1.08, p<0.01), ISS (per-unit AOR 1.09, p<0.01), and CPS (per-unit AOR 1.04, p<0.01). CPS did not independently predict need for discharge to a facility.

CONCLUSIONS

This study confirms that CPS is an independent predictor of all-cause morbidity and mortality in older trauma patients. However, CPS was not independently associated with need for discharge to a facility. Prospective multicenter studies are needed to evaluate the use of CPS as a predictive and interventional tool, with special focus on correlations between specific pre-existing conditions, pharmacologic interactions, and morbidity/mortality patterns.

Comorbidity polypharmacy score and its clinical utility: A pragmatic practitioner's perspective

Modern medical management of comorbid conditions has resulted in escalating use of multiple medications and the emergence of the twin phenomena of multimorbidity and polypharmacy. Current understanding of how the polypharmacy in conjunction with multimorbidity influences trauma outcomes is limited, although it is known that trauma patients are at increased risk for medication-related adverse events. The comorbidity-polypharmacy score (CPS) is a simple clinical tool that quantifies the overall severity of comorbidities using the polypharmacy as a surrogate for the "intensity" of treatment necessary to adequately control chronic medical conditions. Easy to calculate, CPS is derived by counting all known pre-injury comorbid conditions and medications. CPS has been independently associated with mortality, increased risk for complications, lower functional outcomes, readmissions, and longer hospital stays. In addition, CPS may help identify older trauma patients at risk of post-emergency department undertriage. The goal of this article was to review and refine the rationale for CPS and to provide an evidence-based outline of its potential clinical applications.