scholarly journals P147: Clinical characteristics and system factors of elderly treated for agitation in the emergency department: a data driven approach

CJEM ◽  
2018 ◽  
Vol 20 (S1) ◽  
pp. S109-S109
Author(s):  
R. Tam ◽  
K. McGregor ◽  
A. Maneshi ◽  
H. Gangatharan ◽  
M. Woo ◽  
...  
Keyword(s):  
High Risk ◽  
Length Of Stay ◽  
Elderly Patients ◽  
Clinical Characteristics ◽  
Univariate Analysis ◽  
Tertiary Care ◽  
Data Driven ◽  
Hospital Length Of Stay ◽  
Data Driven Approach ◽  
Process Factors

Introduction: Aligning health systems appropriately to the needs of the elderly is an urgent global priority, according to the WHO. In Canada, ED length of stay has risen 16% for elderly patients in the last year. Agitation requiring chemical restraint is a common, high-risk problem for elderly in the ED. Improving outcomes in this heterogeneous population remain difficult due to inability to effectively identify and evaluate delirium, frailty, multi-morbidity, and incompatibility with the ED system. A data-driven approach to complex health problems is a recognized emerging tool for healthcare innovation. New opportunities for targeted quality improvement in the ED will be uncovered by identifying the clinical characteristics of elderly patients with agitation, and the system process factors that influence their outcomes. Methods: We studied 400 patients in a case-control study at two tertiary-care EDs over five years. Patients were randomly selected if age was greater than 75 years. 200 cases of patients who received an intravenous dose of haloperidol, midazolam and/or lorazepam were selected as a surrogate data marker for having agitation. Controls were randomly matched by age and ED diagnosis. Standardized clinical, systems and process variables were collected. We conducted a univariate analysis. Results: Elderly given intravenous medications for agitation had increased mortality (OR 3.8 CI: 1.6-10.7, p<0.001) and ED length of stay (27 vs. 15 hours, p<0.001). No statistical significance was found in clinical characteristics, CTAS scores, PRISMA7 frailty scores nor sentinel or return visits. There was no statistical difference in median hospital length of stay (8 vs. 6 days, p<0.70). No differences were found in median time from ED physician seeing a patient to first consultant request (73 vs. 83 mins, p=0.75). The largest time intervals contributing to ED length of stay were from first consultant request to hospital request (15 vs. 12 hours, p=0.056) and hospitalization delay (13 vs. 7 hours, p=0.45). Conclusion: Identification of high-risk elderly patients for targeted intervention through a data-driven approach is feasible and informative. Traditional clinical characteristics remain unhelpful in identifying and evaluating outcomes in elderly with agitation. We have identified a process factor that is clinically relevant and pragmatic to evaluate in our ED system. Future research focused on optimizing systems process factors to improve quality of elderly care should be prioritized.

30-Day Outcomes for Total Ankle Arthroplasty in Patients With Anemia

2021 ◽  
pp. 107110072110175
Author(s):  
Jordan R. Pollock ◽  
Matt K. Doan ◽  
M. Lane Moore ◽  
Jeffrey D. Hassebrock ◽  
Justin L. Makovicka ◽  
...  
Keyword(s):  
Length Of Stay ◽  
Univariate Analysis ◽  
Hospital Length ◽  
Total Ankle Arthroplasty ◽  
Hospital Length Of Stay ◽  
Preoperative Anemia ◽  
Improvement Project ◽  
Average Hospital ◽  
Ankle Arthroplasty ◽  
Reoperation Rates

Background: While anemia has been associated with poor surgical outcomes in total knee arthroplasty and total hip arthroplasty, the effects of anemia on total ankle arthroplasty remain unknown. This study examines how preoperative anemia affects postoperative outcomes in total ankle arthroplasty. Methods: A retrospective analysis was performed using the American College of Surgeons National Surgery Quality Improvement Project database from 2011 to 2018 for total ankle arthroplasty procedures. Hematocrit (HCT) levels were used to determine preoperative anemia. Results: Of the 1028 patients included in this study, 114 patients were found to be anemic. Univariate analysis demonstrated anemia was significantly associated with an increased average hospital length of stay (2.2 vs 1.8 days, P < .008), increased rate of 30-day readmission (3.5% vs 1.1%, P = .036), increased 30-day reoperation (2.6% vs 0.4%, P = .007), extended length of stay (64% vs 49.9%, P = .004), wound complication (1.75% vs 0.11%, P = .002), and surgical site infection (2.6% vs 0.6%, P = .017). Multivariate logistic regression analysis found anemia to be significantly associated with extended hospital length of stay (odds ratio [OR], 1.62; 95% CI, 1.07-2.45; P = .023) and increased reoperation rates (OR, 5.47; 95% CI, 1.15-26.00; P = .033). Anemia was not found to be a predictor of increased readmission rates (OR, 3.13; 95% CI, 0.93-10.56; P = .066) or postoperative complications (OR, 1.27; 95% CI, 0.35-4.56; P = .71). Conclusion: This study found increasing severity of anemia to be associated with extended hospital length of stay and increased reoperation rates. Providers and patients should be aware of the increased risks of total ankle arthroplasty with preoperative anemia. Level of Evidence: Level III, retrospective comparative study.

scholarly journals Postoperative delirium after cardiac surgery of elderly patients as an independent risk factor for prolonged length of stay in intensive care unit and in hospital

2021 ◽  
Author(s):  
Andrea Kirfel ◽  
Jan Menzenbach ◽  
Vera Guttenthaler ◽  
Johanna Feggeler ◽  
Andreas Mayr ◽  
...  
Keyword(s):  
Intensive Care Unit ◽  
Cardiac Surgery ◽  
Intensive Care ◽  
Length Of Stay ◽  
Elderly Patients ◽  
Postoperative Delirium ◽  
Confusion Assessment Method ◽  
Assessment Method ◽  
Hospital Length Of Stay ◽  
Confusion Assessment

Abstract Background Postoperative delirium (POD) is a relevant and underdiagnosed complication after cardiac surgery that is associated with increased intensive care unit (ICU) and hospital length of stay (LOS). The aim of this subgroup study was to compare the frequency of tested POD versus the coded International Statistical Classification of Diseases and Related Health Problems (ICD) diagnosis of POD and to evaluate the influence of POD on LOS in ICU and hospital. Methods 254 elective cardiac surgery patients (mean age, 70.5 ± 6.4 years) at the University Hospital Bonn between September 2018 and October 2019 were evaluated. The endpoint tested POD was considered positive, if one of the tests Confusion Assessment Method for ICU (CAM-ICU) or Confusion Assessment Method (CAM), 4 'A's Test (4AT) or Delirium Observation Scale (DOS) was positive on one day. Results POD occurred in 127 patients (50.0%). LOS in ICU and hospital were significantly different based on presence (ICU 165.0 ± 362.7 h; Hospital 26.5 ± 26.1 days) or absence (ICU 64.5 ± 79.4 h; Hospital 14.6 ± 6.7 days) of POD (p < 0.001). The multiple linear regression showed POD as an independent predictor for a prolonged LOS in ICU (48%; 95%CI 31–67%) and in hospital (64%; 95%CI 27–110%) (p < 0.001). The frequency of POD in the study participants that was coded with the ICD F05.0 and F05.8 by hospital staff was considerably lower than tests revealed by the study personnel. Conclusion Approximately 50% of elderly patients who underwent cardiac surgery developed POD, which is associated with an increased ICU and hospital LOS. Furthermore, POD is highly underdiagnosed in clinical routine.

scholarly journals Hospital length of stay for COVID-19 patients: Data-driven methods for forward planning

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Bindu Vekaria ◽  
Christopher Overton ◽  
Arkadiusz Wiśniowski ◽  
Shazaad Ahmad ◽  
Andrea Aparicio-Castro ◽  
...  
Keyword(s):  
Length Of Stay ◽  
Hospital Admission ◽  
Failure Time ◽  
National Level ◽  
Hospital Length ◽  
Survival Model ◽  
Data Driven ◽  
Hospital Length Of Stay ◽  
Similar Data ◽  
Model Complex

Abstract Background Predicting hospital length of stay (LoS) for patients with COVID-19 infection is essential to ensure that adequate bed capacity can be provided without unnecessarily restricting care for patients with other conditions. Here, we demonstrate the utility of three complementary methods for predicting LoS using UK national- and hospital-level data. Method On a national scale, relevant patients were identified from the COVID-19 Hospitalisation in England Surveillance System (CHESS) reports. An Accelerated Failure Time (AFT) survival model and a truncation corrected method (TC), both with underlying Weibull distributions, were fitted to the data to estimate LoS from hospital admission date to an outcome (death or discharge) and from hospital admission date to Intensive Care Unit (ICU) admission date. In a second approach we fit a multi-state (MS) survival model to data directly from the Manchester University NHS Foundation Trust (MFT). We develop a planning tool that uses LoS estimates from these models to predict bed occupancy. Results All methods produced similar overall estimates of LoS for overall hospital stay, given a patient is not admitted to ICU (8.4, 9.1 and 8.0 days for AFT, TC and MS, respectively). Estimates differ more significantly between the local and national level when considering ICU. National estimates for ICU LoS from AFT and TC were 12.4 and 13.4 days, whereas in local data the MS method produced estimates of 18.9 days. Conclusions Given the complexity and partiality of different data sources and the rapidly evolving nature of the COVID-19 pandemic, it is most appropriate to use multiple analysis methods on multiple datasets. The AFT method accounts for censored cases, but does not allow for simultaneous consideration of different outcomes. The TC method does not include censored cases, instead correcting for truncation in the data, but does consider these different outcomes. The MS method can model complex pathways to different outcomes whilst accounting for censoring, but cannot handle non-random case missingness. Overall, we conclude that data-driven modelling approaches of LoS using these methods is useful in epidemic planning and management, and should be considered for widespread adoption throughout healthcare systems internationally where similar data resources exist.

In-Hospital Mortality and Related Outcomes for Elevated Risk Acute Pulmonary Embolism Treated With Mechanical Thrombectomy Versus Routine Care

2021 ◽  
pp. 088506662110364
Author(s):  
Jennifer R. Buckley ◽  
Brandt C. Wible
Keyword(s):  
Pulmonary Embolism ◽  
High Risk ◽  
Length Of Stay ◽  
Hospital Mortality ◽  
Routine Care ◽  
Hospital Length ◽  
Elevated Risk ◽  
Hospital Length Of Stay ◽  
Icu Length Of Stay

Purpose To compare in-hospital mortality and other hospitalization related outcomes of elevated risk patients (Pulmonary Embolism Severity Index [PESI] score of 4 or 5, and, European Society of Cardiology [ESC] classification of intermediate-high or high risk) with acute central pulmonary embolism (PE) treated with mechanical thrombectomy (MT) using the Inari FlowTriever device versus those treated with routine care (RC). Materials and Methods Retrospective data was collected of all patients with acute, central PE treated at a single institution over 2 concurrent 18-month periods. All collected patients were risk stratified using the PESI and ESC Guidelines. The comparison was made between patients with acute PE with PESI scores of 4 or 5, and, ESC classification of intermediate-high or high risk based on treatment type: MT and RC. The primary endpoint evaluated was in-hospital mortality. Secondary endpoints included intensive care unit (ICU) length of stay, total hospital length of stay, and 30-day readmission. Results Fifty-eight patients met inclusion criteria, 28 in the MT group and 30 in the RC group. Most RC patients were treated with systemic anticoagulation alone (24 of 30). In-hospital mortality was significantly lower for the MT group than for the RC group (3.6% vs 23.3%, P < .05), as was the average ICU length of stay (2.1 ± 1.2 vs 6.1 ± 8.6 days, P < .05). Total hospital length of stay and 30-day readmission rates were similar between MT and RC groups. Conclusion Initial retrospective comparison suggests MT can improve in-hospital mortality and decrease ICU length of stay for patients with acute, central PE of elevated risk (PESI 4 or 5, and, ESC intermediate-high or high risk).

Analysis of the Effects of Applying Federal Diagnosis-Related Grouping (DRG) Guidelines to a Population of High-Risk Newborn Infants

PEDIATRICS ◽  
1985 ◽  
Vol 76 (1) ◽  
pp. 104-109
Author(s):  
Ronald L. Poland ◽  
Robert O. Bollinger ◽  
Mary P. Bedard ◽  
Sanford N. Cohen
Keyword(s):  
High Risk ◽  
Length Of Stay ◽  
Geometric Mean ◽  
Tertiary Care ◽  
Newborn Infants ◽  
Frequency Distributions ◽  
Federal Register ◽  
Children's Hospital ◽  
Lengths Of Stay ◽  
Children’S Hospital

Length of stay data collected for high-risk newborn infants admitted to a tertiary care children's hospital neonatal unit over a 6-year period were compared with mean and outlier lengths of stay published in the Federal Register as part of a proposed system for prospective payment of hospital cost by diagnosis-related groupings (DRGs). We found that the classification system for newborns markedly underestimated the number of days required for the treatment of these infants. The use of the geometric mean instead of the arithmetic mean as the measure of central tendency was a significant contributor to the discrepancy, especially in those sub-groups with bimodal frequency distributions of lengths of stay. Another contributor to the discrepancy was the lack of inborn patients in the children's hospital cohort. The system of prospective payments, as outlined, does not take into account several factors that have a strong influence on length of stay such as birth weight (which requires more than three divisions to serve as an effective predictor), surgery, outborn status, and ventilation. Implementation of the system described in the Federal Register would severely discourage tertiary care referral hospitals from providing neonatal intensive care.

scholarly journals Risk stratification for intestinal dysbiosis in hospitalized adult patients according to the National Dysbiosis Survey (INDIS)

2020 ◽  
Vol 2 (35) ◽  
pp. 149-159
Author(s):  
Aline Okipney ◽  
Jéssica Romanelli Amorim de Souza ◽  
Antonio Carlos Ligocki Campos ◽  
Leticia Fuganti Campos ◽  
Paula Rodrigues Anjo ◽  
...  
Keyword(s):  
Risk Factors ◽  
High Risk ◽  
Risk Stratification ◽  
Elderly Patients ◽  
Univariate Analysis ◽  
Intestinal Flora ◽  
Adult Patients ◽  
Therapeutic Interventions ◽  
Intestinal Dysbiosis ◽  
Very High

Introduction: The intestinal microbiota has a symbiotic relationship with the human being. Its alteration, known as dysbiosis, can result in several diseases. Some risk factors may predict the occurrence of this condition. The purpose of this study was to evaluate the effectiveness of the National Dysbiosis Survey (INDIS) in the risk stratification of hospitalized adult patients that presented with intestinal dysbiosis. Methods: 100 patients hospitalized at the Hospital das Clínicas da UFPR were interviewed through INDIS. In this questionnaire, risk factors for dysbiosis of each patient were established and the dysbiosis degree was stratified in low, medium, high, and very high risk. Results: Most patients were classified as medium (43%) and high risk (39%) of dysbiosis. The univariate analysis revealed an association between the degree of dysbiosis and elderly patients (p=0.034), number of comorbidities (p<0.001), presence of diarrhea or constipation (p<0.001) and medication in use [antibiotic and/or proton pump inhibitor (PII); p<0.001]. In the multivariate analysis, the most important influence in classification was the presence of diarrhea or constipation (OR=3.00, 95% CI [1.73, 5.21] p<0.001) and medication in use (Score 3: OR = 53.4, 95% CI [2.73, 1045.5], p=0.009 and Score 4-8: OR = 1709.1, 95% CI [50.27, 58103.5] p<0.001), both independent predictors of high and very high risk of dysbiosis. Conclusion: The risk degree of intestinal dysbiosis is greater in the presence of diarrhea or constipation, the use of antibiotics and/or PII, and in elderly patients. Once the risks of dysbiosis have been defined, INDIS proved to be an effective and rapid tool for risk stratification of dysbiosis in the study population, future studies should determine the relevance of therapeutic interventions with the purpose of normalizing the intestinal flora.

Abstract 101: Gender Differences in the Timing of Access to the Prehospital Phase of STEMI Care

Circulation ◽  
2007 ◽  
Vol 116 (suppl_16) ◽  
Author(s):  
Robert O’Connor ◽  
Ross Megargel ◽  
Angela DiSabatino ◽  
William Weintrub ◽  
Charles Reese
Keyword(s):  
Gender Differences ◽  
Length Of Stay ◽  
Tertiary Care ◽  
Female Gender ◽  
Hospital Length ◽  
Hospital Length Of Stay ◽  
Symptom Duration ◽  
Care Hospital ◽  
Private Vehicle ◽  
Prehospital Management

Introduction : The purpose of this study is to determine the degree of gender differences in lay person recognition, emergency medical services (EMS) activation, and the prehospital management of STEMI. Methods : Data were gathered prospectively from May 1999 to January 2007 on consecutive patients with STEMI who presented to a tertiary care hospital emergency department. Patients arriving by ambulance and private vehicle were included. Data collection included determining symptom duration, whether a prehospital ECG was obtained, whether the cardiac interventional lab was activated prior to patient arrival at the hospital, patient age, and hospital length of stay. Prehospital activation of the cath lab was done by emergency medicine based on paramedic ECG interpretation in consultation with cardiology. Statistical analysis was performed using the Mann-Whitney U test, the Yates-corrected chi-square test, and linear regression. Results : A total of 3260 cases were studied, of which, 3097 had complete data for analysis. Only EMS cases were included in the ECG analysis, and only patients having a prehospital ECG were included in the prehospital activation of cath lab analysis. Regression analysis showed that older age and female gender were significant predictors of access and arrival by EMS. The mean age in years was higher for EMS arrival (69 women; 59 men) than for private vehicle (62 women; 56 men). Conclusion : Women with STEMI tend to use EMS more frequently then men, but are older and wait longer before seeking treatment. Whether these factors contribute to the longer length of stay remains to be determined.

A Data Driven Approach for Safe Route Planning

2018 ◽  
Vol 9 (1) ◽  
pp. 1-18 ◽  
Author(s):  
Reza Sarraf ◽  
Michael P. McGuire
Keyword(s):  
High Risk ◽  
Route Planning ◽  
Road Accident ◽  
Data Driven ◽  
Accident Risk ◽  
Design Issues ◽  
Google Maps ◽  
Data Driven Approach ◽  
Risk Maps ◽  
Approach Route

The rate of road accident fatalities depends on many factors including vehicle, roadway, environmental and driver characteristics. This research aims at reducing accidents using a data driven approach. Route planning applications such as Google Maps consider shortest time from a start point to a given destination. However, there are roads with design issues or high-risk roads that can result in fatal accidents and should be avoided. Although there are existing accident risk maps to help drivers to avoid such roads, these maps can be confusing and must be manually interpreted by drivers to find the safest path. The manual interpretation of the map is a time consuming and difficult task which results in ignoring the risk maps by drivers, due to complexity. This research aims at developing a novel tool to find the safest route. The resulting safe route is then compared to the path suggested by Google Maps.

scholarly journals Comparison of open and robotic-assisted prostatectomy: The University of British Columbia experience

2014 ◽  
Vol 8 (3-4) ◽  
pp. 92 ◽  
Author(s):  
Louis-Olivier Gagnon ◽  
Larry Goldenberg ◽  
Kenny Lynch ◽  
Antonio Hurtado ◽  
Martin Gleave
Keyword(s):  
Urinary Incontinence ◽  
Length Of Stay ◽  
Learning Curve ◽  
Tertiary Care ◽  
Surgical Margin ◽  
Hospital Length Of Stay ◽  
Positive Surgical Margin ◽  
Robotic Assisted ◽  
Post Surgery ◽  
The Impact

Introduction: We assessed outcomes and costs of open prostatectomy (OP) versus robotic-assisted prostatectomy (RAP) at a single tertiary care university hospital.Methods: We retrospectively analyzed 200 consecutive OP by 1 experienced open surgeon (MG) and 200 consecutive RAP by an experienced open surgeon (SLG), after allowing for a short learning curve of 70 cases.Results: The 2 groups had similar demographics, including mean age (64.7 vs. 64.2) and mean body mass index (27.2 vs. 27.2). The OP group had a higher proportion of higher risk cancers compared to the RAP group (32.5% vs. 8.5%). Mean skin-to-skin operative room time was less for the OP (114.2 vs. 234.1 minutes). Transfusion rates were similar at 1.5% with OP compared to 3.5% with RAP. The mean length of stay was 1.78 days for OP compared to 1.76 days for RAP, for the last 100 patients in each group. The OP group had more high-grade disease in the prostatectomy specimen, with Gleason ≥8 in 23.5% compared to 3.5% in the RAP group. Positive surgical margin rates were comparable at 31% for OP and 24.6% for RAP, and remained similar after stratification for pT2 and pT3 disease. The grade I and II perioperative complication rate (Clavien-Dindo classification) was lower in the OP group (8.5% vs. 20%). Postoperative stress urinary incontinence rates (4.8% for OP and 4.6% for RAP) and biochemical-free status (91.8% for OP and 96% for RAP) did not differ at 12 months post-surgery. The additional cost of RAP was calculated as $5629 per case. The main limitations of this study are its retrospective nature and lack of validated questionnaires for evaluation of postoperative functional outcomes.Conclusion: While hospital length of stay, transfusion rates, positive surgical margin rates and postoperative urinary incontinence were similar, OP had a shorter operative time and a lower cost compared to the very early experience of RAP. Future parallel prospective analysis will address the impact of the learning curve on these outcomes.

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