Risk of death within 7 days of discharge from emergency departments with different organizational models.

OBJECTIVE: The aim of this study is to investigate the association between emergency department (ED) organizational models and the risk of death within 7 days of ED discharge. PATIENTS AND METHODS: We included Danish ED discharges between 1 January 2011 and 24 December 2014 that led to death within 7 days of discharge. The inclusion criterion was age older than 18 years. The exclusion criterion was further in-hospital admission. First model (Virtual): other departments employ interns who perform ED tasks. They are responsible for ED patient care and prioritize their task order between their own department and the ED. Second model (Hybrid): the ED/other departments perform tasks; interns/consultants are employed by the ED/other departments. The ED/other departments have patient care responsibility. Third model (Independent): the ED performs all tasks; employs interns/consultants; and have patient care responsibility. Sex, age, Charlson Comorbidity Index score, and primary diagnosis were used to describe patient characteristics. We calculated the risk of death within 7 days of discharge using multiple logistic regression analysis. RESULTS: In 805 out of 201 299 discharges included in the study, the patient died within 7 days. Compared with the Virtual model, the odds ratio for death within 7 days of discharge was 0.72 (95% confidence interval: 0.59-0.92) for the Independent model and 0.75 (95% confidence interval: 0.61-0.92) for the Hybrid+Virtual model. Increased risk was associated with male sex, older age, and a medium or a high Charlson Comorbidity Index score. CONCLUSION: Compared with discharges from a Virtual model, the risk of death within 7 days of discharge was lower if the ED had an Independent or a Hybrid+Virtual model.

Evaluation of different methods for extraction of nanocellulose from yerba mate residues.

In this work, we evaluate the production of nanocellulose from yerba mate sticks (YMS) using soft chemical and steam explosion treatments. The nanocellulose is characterized by chemical characterization, Fourier transform infrared spectroscopy (FTIR), X-ray diffraction (XRD), dynamic light scattering (DLS), transmission electron microscopy (TEM) and atomic force microscopy (AFM). The main results showed that after the chemical treatment and steam explosion, the YMS fiber reached diameters of 11-15 nm and aspect ratios (L/D) of 12-24. The XRD results showed that there is an increase in the index of crystallinity of up to 35% when compared to raw YMS. We discover that it is possible to obtain cellulose nanofibers (CNF) from the YMS without the use of alkaline treatment, which reduces the generation of liquid waste. Thus, the production of CNF by means of acid hydrolysis, bleaching and steam explosion represents an alternative route.

Linking the severity of illness and the weekend effect: a cohort study examining emergency department visits.

BACKGROUND: Despite extensive research on the "weekend effect" i.e., the increased mortality associated with hospital admission during weekend, knowledge about disease severity in previous studies is limited. The aim of this study is to examine patient characteristics, including disease severity, 30-day mortality, and length of stay (LOS), according to time of admission to an emergency department. METHODS: Our study encompassed all patients admitted to a Danish emergency department in 2014-2015. Using data from electronic patient records, this study examines patient characteristics including age, gender, Charlson Comorbidity Index score, triage score, and primary diagnosis. Triage score and transfer to intensive care unit (ICU) were used as indicators of disease severity. LOS within the department and within the hospital was examined. Age- and sex-standardized 30-day mortality rates comparing patients with the same triage score admitted at daytime, evening, and nighttime on weekdays and on weekends were computed. To test differences, a Cox regression analysis was added. RESULTS: We included 35,459 patient visits, of which 10,435 (32%) started on a weekend. There were no large differences in baseline characteristics between patients admitted on weekdays and those admitted on weekends. The relative risk (RR) for being triaged orange or red was 1.16 (95% confidence interval (CI) 1.06-1.28, P = 0.0017) for weekend admissions as compared with weekday admissions. Weekend admissions were twice as likely as weekday admissions to be transferred to the ICU (RR, 1.96; 95% CI 1.53-2.52, P = 0.0000). No significant changes were found in LOS. The 30-day mortality rate increased with disease severity regardless of time of admission. When comparing the 30-day mortality rate for patients with the same triage score, the trend was toward a higher mortality when admission occurred during the weekend. Increasing mortality rate was significant for patients admitted at evening on weekends with a hazard ratio of 1.32 (95% CI 1.03-1.70, P = 0.027) when compared with patients admitted on daytime on weekdays. CONCLUSIONS: When comparing weekday and weekend admissions, the 30-day mortality rate increased for patients admitted at evening on weekends after adjusting for comorbidity and triage score, indicating that the weekend effect was independent of changes in illness severity.

Readmission and mortality in patients discharged with a diagnosis of medical observation and evaluation (Z03*-codes) from an acute admission unit in Denmark: a prospective cohort study.

BACKGROUND: We assessed the 30-day risk of readmission and mortality among patients receiving an International Classification of Diseases 10th edition diagnosis of medical observation and evaluation (Z03*) following admission to an acute medical admission unit (AMAU), stratified on any further specification of diagnosis during hospital stay. METHODS: We used Central Denmark's (Midt)-Electronic Patient Journal to identify patients with a Z03*-diagnosis among patients admitted to the AMAU, Aarhus University Hospital Nørrebrogade from April 2012 to March 2013, and noted any specification of diagnosis. Patients were followed from hospital discharge until death, emigration, or completion of 30 days follow-up. RESULTS: Of 409 patients with an initial Z03* diagnosis at the AMAU, 55% (n = 226) received a more specific discharge diagnosis after transferral to other departments. Among patients discharged to home with a Z03*-diagnosis, 30% were readmitted within 30 days, while the corresponding figure was 23% for patients receiving a specific diagnosis (p = 0.06). In contrast, corresponding figures for 30-day mortality were 3% for Z03*-diagnosed patients and 10% for those who obtained a specific diagnosis (p = 0.003). CONCLUSIONS: Patients diagnosed with Z03* at hospital discharge have a substantially lower 30-day mortality, but a higher readmission-rate, compared to patients who obtain a specific diagnosis during the entire hospital stay.

Out-of-hours and weekend admissions to Danish medical departments: admission rates and 30-day mortality for 20 common medical conditions.

OBJECTIVES: Knowledge on timing of admissions and mortality for acute medical patients is limited. The aim of the study was to examine hospital admission rates and mortality rates for patients with common medical conditions according to time of admission. DESIGN: Nationwide population-based cohort study. SETTING: Population of Denmark. PARTICIPANTS: Using the Danish National Registry of Patients covering all Danish hospitals, we identified all adults with the first acute admission to a medical department in Denmark during 2010. PRIMARY AND SECONDARY OUTCOME MEASURES: Hourly admission rates and age-standardised and sex-standardised 30-day mortality rates comparing weekday office hours, weekday out of hours, weekend daytime hours and weekend night-time hours. RESULTS: In total, 174,192 acute medical patients were included in the study. The admission rates (patients per hour) were 38.7 (95% CI 38.4 to 38.9) during weekday office hours, 13.3 (95% CI 13.2 to 13.5) during weekday out of hours, 19.8 (95% CI 19.6 to 20.1) during weekend daytime hours and 7.9 (95% CI 7.8 to 8.0) during weekend night-time hours. Admission rates varied between medical conditions. The proportion of patients admitted to an intensive care unit (ICU) increased outside of office hours. The age-standardised and sex-standardised 30-day mortality rate was 5.1% (95% CI 5.0% to 5.3%) after admission during weekday office hours, 5.7% (95% CI 5.5% to 6.0%) after admission during weekday out of hours, 6.4% (95% CI 6.1% to 6.7%) after admission during weekend daytime hours and 6.3% (95% CI 5.9% to 6.8%) after admission during weekend night-time hours. For the majority of the medical conditions examined, weekend admission was associated with highest mortality. CONCLUSIONS: While admission rates decreased from office hours to weekend hours there was an observed increase in mortality. This may reflect differences in severity of illness as the proportion admitted to an ICU increased during the weekend.

Acute admissions to medical departments in Denmark: diagnoses and patient characteristics.

BACKGROUND: Despite extensive research on individual diseases, population-based knowledge about reasons for acute medical admissions remains limited. Our aim was to examine primary diagnoses, Charlson Comorbidity Index (CCI) score, age, and gender among patients admitted acutely to medical departments in Denmark. METHODS: In this population-based observational study, 264,265 acute medical patients admitted during 2010 were identified in the Danish National Registry of Patients (DNRP), covering all hospitals in Denmark. Reasons for acute admissions were assessed by primary diagnoses, grouped according to the International Classification of Diseases 10th edition. Additionally, the CCI score, age and gender were presented according to each diagnostic group. RESULTS: Two-thirds of the patients had one of the four following reasons for admission: cardiovascular diseases (19.3%), non-specific Z-diagnoses ("Factors influencing health status and contact with health services") (16.9%), infectious diseases (15.5%), and non-specific R-diagnoses ("Symptoms and abnormal findings, not elsewhere classified") (11.8%). In total, 45% of the patients had a CCI score of one or more and there was a considerable overlap between the patients' chronic diseases and the reason for admission. The median age of the study population was 64 years (IQR 47-77 years), ranging from 46 years (IQR 27-66) for injury and poisoning to 74 years (IQR 60-83) for hematological diseases. Gender representation varied considerably within the diagnostic groups, for example with male predominance in mental disorders (59.0%) and female predominance in diseases of the musculoskeletal system (57.8%). CONCLUSION: Our study identifies that acute medical patients often present with non-specific symptoms or complications related to their chronic diseases.

Registration of acute medical hospital admissions in the Danish National Patient Registry: a validation study.

BACKGROUND: In recent years, the number of acute hospital admissions has increased and this has imposed both organizational and financial strains on the health care system. Consequently, it is of crucial importance that we have valid data on admission types in the administrative databases in order to provide data for health care planning and research. OBJECTIVE: To examine the validity of registration of acute admissions among medical patients in the Danish National Patient Registry (DNPR) using medical record reviews as the reference standard. METHODS: We used the nationwide DNPR to identify a sample of 160 medical patients admitted to a hospital in the North Denmark Region during 2009. Data on admission type was obtained from the DNPR and confirmed by a medical record review. We computed positive predictive values, sensitivity, and specificity including 95% confidence intervals (CI) using the medical record review as the reference standard. RESULTS: Among the 160 medical inpatients identified in the DNPR, 128 were registered with an acute admission, and 32 were registered with a nonacute admission. Two medical records could not be located. Thus, the analyses included 158 medical patients. Among the 127 patients registered with acute admission, 124 were confirmed to be correctly classified. Correspondingly, 28 of the 31 patients with a registered nonacute admission were confirmed to be correctly classified. The overall positive predictive value of the acute admissions among medical patients was 97.6% (95% CI, 93.8%-99.3%). Sensitivity was 97.6% (95% CI, 93.8%-99.3%) and specificity was 90.3% (95% CI, 76.4%-97.2%). CONCLUSION: The registration of acute admission among medical patients in the DNPR has high validity.

Mortality following acute medical admission in Denmark: a feasibility study.

BACKGROUND: As the population ages, an increasing number of acute medical patients will be older and have comorbidities that may interact with their primary admission condition and worsen their prognosis. OBJECTIVES: To examine whether 6-month mortality following acute medical admission was associated with gender, age, or comorbidity. METHODS: We used the Danish National Patient Registry, covering all Danish hospitals, to identify all acute medical admissions to Aarhus University Hospital during 2008 and comorbidities. We obtained mortality data from the Danish Civil Registration System. We computed mortality risks and hazard ratios with 95% confidence intervals (CIs) for gender, age, and comorbidity groups. RESULTS: We identified 3,727 patients (53.6% women) with a median age of 63 years for women and 60 years for men. The overall 6-month mortality rate was 12.8%. The adjusted hazard ratio was 2.77 (95% CI, 2.11-3.64) for patients aged 65-80 years and 5.25 (95% CI, 4.06-6.80) for patients older than 80 years, compared with patients younger than 65 years. The adjusted hazard ratio was 2.43 (95% CI, 1.82-3.24) and 3.87 (95% CI, 2.91-5.15) for patients with moderate and high comorbidity, respectively, compared with low comorbidity. CONCLUSION: Age and comorbidity were important predictors of mortality after acute medical admission.

Gene expression of the GH receptor in subcutaneous and intraabdominal fat in healthy females: relationship to GH-binding protein.

OBJECTIVE: Circulating GH-binding protein (GHBP) is produced by proteolytical cleavage of the extracellular part of the GH receptor (GHR) and is positively correlated to the amount of body fat. To test the hypothesis that adipose tissue may contribute to the production of circulating GHBP, we compared gene expression of two GHR isoforms in adipose tissue with serum GHBP concentrations in healthy females. DESIGN: Twenty-two healthy females undergoing surgery for benign gynecological conditions were included in the study. METHODS: During surgery, s.c. and intraabdominal fat biopsy samples were taken. Gene expression of the full-length GHR and a truncated GHR (GHRtr) was assessed by RT-PCR relative to the expression of beta-actin. RESULTS: The full-length GHR was expressed to a much higher level than GHRtr in both tissues. The levels of both GHR and GHRtr mRNA were similar in intraabdominal and s.c. adipose tissues. Surprisingly, concentrations of circulating GHBP were negatively correlated to the levels of mRNA transcripts of both the full-length GHR and GHRtr in intraabdominal fat. Whole body resistance (as a measure of lean body mass) was positively correlated to mRNA levels for both GHRs in intraabdominal fat. CONCLUSIONS: (i) The full-length GHR is expressed to a much higher level than GHRtr in s.c. as well as visceral abdominal fat; (ii) the observation of a significant correlation between GHR expression and GHBP levels further emphasizes the link between adipose tissue and GHBP; (iii) it remains, however, to be demonstrated whether circulating GHBP is produced to a significant degree by adipose tissue.

Impact of GHBP interference on estimates of GH and GH pharmacokinetics.

OBJECTIVE: Circulating GH-binding protein (GHBP) may interfere with GH measurements in immunoassays by competing with the antibodies for ligands. The concentrations of circulating GHBP in humans are closely related to the amount of body fat, and subject to large interindividual differences. SUBJECTS AND METHODS: To assess the influence of GHBP in a widely used commercial immunometric GH kit (DELFIA, Wallac, Finland) we systematically tested the effects of varying GHBP concentrations and assay incubation times on GH estimates over a broad range of GH concentrations. We subsequently investigated the impact of 24-h vs. 2-h incubation on estimates of GH pharmacokinetics obtained from two-step primed-constant infusions of GH in a group of 26 healthy nonobese men [mean age 37.3 years (range 22-55); body mass index (BMI) = 24.6 +/- 0.4 kg/m2]. RESULTS: GHBP at physiological concentrations of 0.2, 0.5, 1.0, 2.0 nm reduced the GH estimates by as much as 40% at low GH concentrations. By increasing the incubation time from the recommended 2 h to 24 h the interference from GHBP was almost completely eliminated. The increase in measured GH using 24-h vs. 2-h incubation showed a strong positive correlation to the subjects' GHBP levels (r = 0.66, P < 0.001). Consequently, the estimates of metabolic clearance rate (MCR) of GH at constant infusion rates of 1.5 micro g/kg/h and 3.0 micro g/kg/h were significantly reduced when using 24 h as opposed to 2 h incubation, and the changes were negatively correlated to the GHBP levels (r = -0.62, P < 0.001 and r =-0.54, P < 0.01, respectively). Furthermore, by reducing the interference of GHBP through 24-h incubation, the previously observed positive correlations between MCR and not only the subjects' GHBP levels but also with total body fat were reduced, while the positive correlation between baseline insulin concentrations and GH clearance was strengthened. CONCLUSIONS: We conclude that differences in GHBP concentrations significantly influence GH measurements in this commercial immunoassay, and that interindividual differences in GHBP concentrations may interfere with the results in studies involving between-subject comparisons of GH concentrations and pharmacokinetics. We believe the extended incubation time allows for better 'extraction' of GH bound to serum GHBP, and that this effect should be investigated, and if relevant, be exploited in other GH immunoassays.