Features, risk factors, and outcomes of older internal medicine patients triggering a medical emergency team call.

BACKGROUND: Information about the epidemiology of older Internal Medicine patients receiving medical emergency team (MET) calls is limited. We assessed the prevalence, characteristics, risk factors, and outcomes of this vulnerable group. METHODS: Internal Medicine patients aged >75 years who were admitted via the Emergency Department to a tertiary hospital between January 2015 to December 2018 and who activated a MET call were compared to patients without MET call activation during the same time period. Outcome measures included management post-MET call, Intensive Care Unit (ICU) admission rates, discharge disposition, length of hospital stays (LOS), and in-patient mortality. RESULTS: There were 10,803 Internal Medical admissions involving 10,423 patients; median age 85 (IQR 81-89) years. Of these, 995 (10%) patients received at least one MET call. MET call patients had greater physiological instability in the Emergency Department and higher median Charlson comorbidity index values (2, IQR 1-3 vs. 1, IQR 0-2; p < .0001) than non-MET call patients. Overall, 10% of MET call patients were admitted to ICU. MET patients had a longer median length of stay (9 [IQR 5-14] vs. 4 days [IQR 2-7]; p < .001) and higher in-hospital mortality (29% vs. 7%; p < .001). However, mortality of MET call patients without treatment limitations was 48/357 (13%). CONCLUSION: One in ten Internal Medicine patients aged >75 years and admitted via ED had a MET call. Physiological instability in ED and comorbidities were key risk factors. Mortality in MET patients approached 30%. These data can help predict at-risk patients for improving goals of care and pre-MET interventions.

Risk factors for major adverse kidney events in the first year after acute kidney injury.

BACKGROUND: Acute kidney injury (AKI) survivors are at increased risk of major adverse kidney events (MAKEs), including chronic kidney disease (CKD), end-stage kidney disease (ESKD) and death. High-risk AKI patients may benefit from specialist follow-up, but factors associated with increased risk have not been reported. METHODS: We conducted a retrospective study of AKI patients admitted to a single centre between 2012 and 2016 who had a baseline estimated glomerular filtration rate (eGFR) >30 mL/min/1.73 m2 and were alive and independent of renal replacement therapy (RRT) at 30 days following discharge. AKI was identified using International Classification of Diseases, Tenth Revision codes and staged according to the Kidney Disease: Improving Global Outcomes criteria. Patients were excluded if they were kidney transplant recipients or if AKI was attributed to intrinsic kidney disease. We performed Cox regression models to examine MAKEs in the first year, defined as the composite of CKD (sustained 25% drop in eGFR), ESKD (requirement for chronic RRT or sustained eGFR <15 mL/min/1.73 m2) or death. We examined secondary outcomes (CKD, ESKD and death) using Cox and competing risk regression analyses. RESULTS: We studied 2101 patients (mean ± SD age 69 ± 15 years, baseline eGFR 72 ± 23 mL/min/1.73 m2). Of these, 767 patients (37%) developed at least one MAKE (429 patients developed CKD, 21 patients developed ESKD, 375 patients died). MAKEs occurred more frequently with older age [hazard ratio (HR) 1.16 per decade, 95% confidence interval (CI) 1.10-1.24], greater severity of AKI (Stage 2 HR 1.38, 95% CI 1.16-1.64; Stage 3 HR 1.62, 95% CI 1.31-2.01), higher serum creatinine at discharge (HR 1.04 per 10 µmol/L, 95% CI 1.03-1.06), chronic heart failure (HR 1.41, 95% CI 1.19-1.67), liver disease (HR 1.68, 95% CI 1.39-2.03) and malignancy (non-metastatic HR 1.44, 95% CI 1.14-1.82; metastatic HR 2.26, 95% CI 1.80-2.83). Traditional risk factors (e.g. diabetes and cardiovascular disease) had limited predictive value. CONCLUSIONS: More than a third of AKI patients develop MAKEs within the first year. Clinical variables available at the time of discharge can help identify patients at increased risk of such events.

Serum potassium abnormalities in chronic kidney disease: prevalence, patient characteristics and clinical outcomes.

BACKGROUND: Abnormalities in serum potassium are a well known complication of chronic kidney disease (CKD), but little is known about their impact on inpatient outcomes. AIMS: To better understand the role of dyskalaemia in hospital in-patients, we assessed the epidemiology of potassium disorders among CKD patients, and the association between admission potassium and inpatient mortality or intensive care unit (ICU) requirement. METHODS: This retrospective hospital-based cohort study (n = 11 156) included patients with an estimated glomerular filtration rate (eGFR) <60 mL/min/1.73 m2 admitted to Austin Health between 2014 and 2018 and who had an admission potassium value. Dialysis patients or those with a renal transplant were excluded. Multivariate logistic analysis was conducted to identify factors associated with hyperkalaemia (≥5.5 mmol/L) and hypokalaemia (<3.5 mmol/L). Odds ratios for inpatient mortality and ICU admission between potassium categories were obtained by multivariate regression with adjustments for demographics, renal function and comorbidities. RESULTS: Hyperkalaemia and hypokalaemia were present in 6.86% and 2.94% of hospital admissions respectively. In multivariate regression male sex, lower eGFR, diabetes and cardiac failure were associated with higher odds of hyperkalaemia. Thiazide diuretics, loop diuretics, infectious disease and endocrine pathology were associated with higher odds of hypokalaemia. A U-shaped association was noted between potassium and inpatient mortality. Potassium <4.0 mmol/L and ≥5.0 mmol/L was associated with increased mortality. Only patients with potassium ≥5.5 mmol/L had increased ICU admission risk. CONCLUSION: Derangements in potassium frequently occur in CKD inpatients and are independently associated with higher mortality and ICU requirement. Further studies are required to determine whether interventions to maintain normokalaemia improve outcomes in this population.

Natural language processing to assess the epidemiology of delirium-suggestive behavioural disturbances in critically ill patients.

Background: There is no gold standard approach for delirium diagnosis, making the assessment of its epidemiology difficult. Delirium can only be inferred though observation of behavioural disturbance and described with relevant nouns or adjectives. Objective: We aimed to use natural language processing (NLP) and its identification of words descriptive of behavioural disturbance to study the epidemiology of delirium in critically ill patients. Study design: Retrospective study using data collected from the electronic health records of a university-affiliated intensive care unit (ICU) in Melbourne, Australia. Participants: 12 375 patients Intervention: Analysis of electronic progress notes. Identification using NLP of at least one of a list of words describing behavioural disturbance within such notes. Results: We analysed 199 648 progress notes in 12 375 patients. Of these, 5108 patients (41.3%) had NLP-diagnosed behavioural disturbance (NLP-Dx-BD). Compared with those who did not have NLP-Dx-DB, these patients were older, more severely ill, and likely to have medical or unplanned admissions, neurological diagnosis, chronic kidney or liver disease and to receive mechanical ventilation and renal replacement therapy (P < 0.001). The unadjusted hospital mortality for NLP-Dx-BD patients was 14.1% versus 9.6% for patients without NLP-Dx-BD. After adjustment for baseline characteristics and illness severity, NLP-Dx-BD was not associated with increased risk of death (odds ratio [OR], 0.94; 95% CI, 0.80-1.10); a finding robust to multiple sensitivity, subgroups and time of observation subcohort analyses. In mechanically ventilated patients, NLP-Dx-BD was associated with decreased hospital mortality (OR, 0.80; 95% CI, 0.65-0.99) after adjustment for baseline severity of illness and year of admission. Conclusions: NLP enabled rapid assessment of large amounts of data identifying a population of ICU patients with typical high risk characteristics for delirium. Moreover, this technique enabled identification of previously poorly understood associations. Further investigations of this technique appear justified.

Nature and impact of in-hospital complications associated with persistent critical illness.

Background: Persistent critical illness (PerCI) is defined as an intensive care unit (ICU) admission lasting ≥ 10 days. The in-hospital complications associated with its development are poorly understood. Aims: To test whether PerCI is associated with a greater prevalence, rate and specific types of in-hospital complications. Methods: Single-centre, retrospective, observational case-control study. Results: We studied 1200 patients admitted to a tertiary ICU from 2010 to 2015. Median ICU length of stay was 16 days (interquartile range [IQR], 12-23) for PerCI patients v 2.3 days (IQR, 1.1-3.7) for controls, and median hospital length of stay was 41 days (IQR, 22-75) v 8 days (IQR, 4-17) respectively. A greater proportion of PerCI patients received acute renal replacement therapy (37% v 6.8%) or underwent reintubation (17% v 1%) and/or tracheostomy (36% v 0.6%); P < 0.0001. Despite these complications, PerCI patients had similar hospital mortality (29% v 27%; P = 0.53). PerCI patients experienced a greater absolute number of complications (12.1 v 4.0 complications per patient; P < 0.0001) but had fewer exposure-adjusted complications (202 v 272 complications per 1000 hospital bed-days; P < 0.001) and a particularly high overall prevalence of specific complications. Conclusions: PerCI patients experience a higher prevalence, but not a higher rate, of exposure-adjusted complications. Some of these complications appear amenable to prevention, helping to define intervention targets in patients at risk of PerCI. Funding: Austin Hospital Intensive Care Trust Fund.

Patient characteristics, ICU-specific supports, complications, and outcomes of persistent critical illness.

OBJECTIVES: The primary objective was to identify the proportion of patients on mechanical ventilation (MV) beyond day 10, the recently defined time of onset of Persistent Critical Illness (PerCI). The secondary objective was to identify underlying diagnoses, intensive care unit (ICU) based therapies, relevant complications, and outcomes of patients with PerCI. SUBJECTS: 100 PerCI patients and 100 age, sex, mechanical ventilation for >24 h, acute physiology and chronic health score (APACHE III) and co-morbidity score-matched controls. MAIN RESULTS: The maximum proportion of PerCI patients requiring invasive MV beyond day 10 was 66%. PerCI patients were more likely to have respiratory, septic, or neurosurgical admission diagnoses (p = .01). In the first 10 ICU days, they received multiple types of ICU-based treatments for longer duration and had a higher incidence rate of ventilator-associated pneumonia (VAP) (p = .008). Hospital discharge destination differed significantly (p≤.001), with greater mortality (34% vs. 22%) and discharge to chronic care facility (11% vs. 0%). CONCLUSIONS: Mechanical ventilation beyond day 10 affected only two thirds of PerCI patients. However, VAP was a key complication in such patients. Discharge to chronic care facilities and hospital mortality were more common in PerCI patients.

Prevalence of pre-existing dysglycaemia among inpatients with acute coronary syndrome and associations with outcomes.

AIMS: We aimed to confirm the hypothesis that dysglycaemia including in the pre-diabetes range affects a majority of patients admitted with acute coronary syndrome (ACS) and is associated with worse outcomes. METHODS: In this prospective observational cohort study, consecutive inpatients aged ≥ 54 years with ACS were uniformly tested and categorised into diabetes (prior diagnosis/ HbA1c ≥ 6.5%, ≥48 mmol/mol), pre-diabetes (HbA1c 5.7-6.4%, 39-47 mmol/mol) and no diabetes (HbA1c ≤ 5.6%, ≤38 mmol/mol) groups. RESULTS: Over two years, 847 consecutive inpatients presented with ACS. 313 (37%) inpatients had diabetes, 312 (37%) had pre-diabetes and 222 (25%) had no diabetes. Diabetes, compared with no diabetes, was associated with higher odds of acute pulmonary oedema (APO, odds ratio, OR 2.60, p < 0.01), longer length of stay (LOS, incidence rate ratio, IRR 1.18, p = 0.02) and, 12-month ACS recurrence (OR 1.86, p = 0.046) after adjustment, while no significant associations were identified for pre-diabetes. Analysed as a continuous variable, every 1% (11 mmol/mol) increase in HbA1c was associated with increased odds of APO (OR 1.28, P = 0.002) and a longer LOS (IRR 1.05, P = 0.03). CONCLUSIONS: The high prevalence of dysglycaemia and association with poorer clinical outcomes justifies routine HbA1c testing to identify individuals who may benefit from cardioprotective anti-hyperglycaemic agents and, lifestyle modification to prevent progression of pre-diabetes.

Routine HbA1c among hematology and oncology inpatients: Diabetes-status and hospital-outcomes.

AIMS: Using routine HbA1c measurement to determine the prevalence of diabetes mellitus (known and previously unrecognized) and their hospital outcomes among hematology and oncology inpatients. METHODS: This was a prospective, observational study. Routine automated HbA1c testing was performed in all hematology and oncology inpatients aged ≥54 years at a tertiary hospital, July 2013-January 2015. The outcome measures were: (i) prevalence of known and previously unrecognized diabetes, and (ii) hospital outcomes: length-of-stay (LOS), intensive-care-unit (ICU) admission, 30-day/18-month readmission, and 18-month mortality. RESULTS: Over the 18-month study period, 1076 inpatients aged ≥54 years were admitted to hematology (n = 298) and oncology (n = 778) units: 21% had known diabetes and 7% had previously unrecognized diabetes. Patients with known diabetes had a longer LOS (IRR: 1.18, 95%CI: 1.02-1.37, p = 0.03), compared to those without diabetes, adjusting for age, hemoglobin level, estimated-glomerular-filtration-rate, admission specialty unit, Charlson's comorbidity index score, and glucocorticoid exposure. No significant differences were observed in ICU admission, 30-day/18-month readmission, and 18-month mortality among patients with known, previously unrecognized and no diabetes (p ≥ 0.05). CONCLUSIONS: Approximately one in five hematology or oncology inpatients aged ≥54 years had known diabetes, and one in fourteen had previously unrecognized diabetes. Those with known diabetes had a longer hospital stay. Routine HbA1c measurement is can be useful for identifying previously unrecognized diabetes, particularly among patients with high glucocorticoid exposure. Further study is required to determine cost-effectiveness in screening for unrecognized diabetes and optimal management of these patients.

Differential clinical characteristics, management and outcome of delirium among ward compared with intensive care unit patients.

BACKGROUND: Delirium is common in hospitalised patients but its epidemiology remains poorly characterised. AIMS: To test the hypothesis that patient demographics, clinical phenotype, management and outcomes of patient with delirium in hospital ward patients differ from intensive care unit (ICU) patients. METHODS: Retrospective cohort of patients admitted to an Australian university-affiliated hospital between March 2013 and April 2017 and coded for delirium at discharge using the International Classification of Diseases System, 10th revision, criteria. RESULTS: Among 61 032 hospitalised patients, 2864 (4.7%) were coded for delirium. From these, we studied a random sample of 100 ward patients and 100 ICU patients. Ward patients were older (median age: 84 vs 65 years; P < 0.0001), more likely to have dementia (38% vs 2% for ICU patients; P < 0.0001) and less likely to have had surgery (24% vs 62%; P < 0.0001). Of ward patients, 74% had hypoactive delirium, while 64% of ICU patients had agitated delirium (P < 0.0001). Persistent delirium at hospital discharge was more common among ward patients (66% vs 17%, P < 0.0001). On multivariable analysis, age and dementia predicted persistent delirium, while surgery predicted recovery. CONCLUSIONS: Delirium in ward patients is profoundly different from delirium in ICU patients. It has a dominant hypoactive clinical phenotype, is preceded by dementia and is less likely to recover at hospital discharge. Therefore, delirium prevention, detection and goals of care should be adapted to the environment in which it occurs.

Predictors and Outcomes of Cardiac Surgery-Associated Delirium. A Single Centre Retrospective Cohort Study.

BACKGROUND: The predictors and independent outcome association of delirium after cardiac surgery are important and yet poorly characterised. METHODS: We performed a retrospective observational study of cardiac surgery patients between January 2009 and March 2016. We defined delirium using ICD-10 diagnostic codes. Multivariable analysis was conducted to find independent associations between baseline variables, delirium, and key clinical outcomes. RESULTS: We studied 2,447 study patients (28.7% female, median age was 66 [IQR 57-74] years). Delirium was coded for in 12.9% of patients overall, and in 22.9% of those aged >75years. Increasing age, Charlson co-morbidity index, admission not from home, peripheral vascular disease, respiratory disease, preoperative atrial fibrillation, duration of cardiopulmonary bypass and nature of surgery were all independent predictors of delirium. Delirium was independently and strongly associated with increased risk of reintubation (OR 8.18 [95% CI 5.24-12.78]), tracheostomy (OR 10.44 [95% CI 5.91-18.45]), and increased length of stay by 113.7 [95% CI 99.7-127.7] ICU hours and 6.95 [95% CI 5.94-7.95] hospital days, but not 30-day mortality (OR 0.78 [95% CI 0.38-1.59]; p=0.5). CONCLUSIONS: Delirium is common in cardiac surgery patients and increases with age. Delirium was the strongest predictor of reintubation, need for tracheostomy, and prolongation of intensive care unit (ICU) and hospital length of stay. Delirium prevention and attenuation are a priority in cardiac surgery patients.

Using routine HbA1c measurements in stroke and the associations of dysglycaemia with stroke outcomes.

AIMS: Diabetes is a major risk factor for stroke. We aimed to investigate the prevalence of diabetes and pre-diabetes within a stroke cohort and examine the association of glycaemia status with mortality and morbidity. METHODS: Inpatients aged ≥54 who presented with a diagnosis of stroke had a routine HbA1c measurement as part of the Austin Health Diabetes Discovery Initiative. Additional data were attained from hospital databases and Australian Stroke Clinical Registry. Outcomes included diabetes and pre-diabetes prevalence, length of stay, 6-month and in-hospital mortality, 28-day readmission rates, and 3-month modified Rankin scale score. RESULTS: Between July 2013 and December 2015, 610 patients were studied. Of these, 31% had diabetes while 40% had pre-diabetes. Using multivariable regression analyses, the presence of diabetes was associated with higher odds of 6-month mortality (OR = 1.90, p = 0.022) and higher expected length of stay (IRR = 1.29, p = 0.004). Similarly, a higher HbA1c was associated with higher odds of 6-month mortality (OR = 1.27, p = 0.005) and higher expected length of stay (IRR = 1.08, p = 0.010). CONCLUSIONS: 71% of this cohort had diabetes or pre-diabetes. Presence of diabetes and higher HbA1c were associated with higher 6-month mortality and length of stay. Further research is necessary to determine if improved glycaemic control may improve stroke outcomes.

Impact of unit-wide chlorhexidine bathing in intensive care on bloodstream infection and drug-resistant organism acquisition.

BACKGROUND: Chlorhexidine gluconate (CHG) bathing has been reported to decrease bloodstream infections and colonisation of multidrug-resistant organisms (MROs) in intensive care units (ICUs). However, its effectiveness in an Australian setting has not been assessed. OBJECTIVE: To test whether the introduction of ICU-wide CHG bathing in place of triclosan would affect rates of the primary outcome of central line-associated bloodstream infections (CLABSI), or the secondary outcomes of ICU-acquired positive blood cultures or other clinical specimens, and MRO colonisation including methicillin-resistant Staphylococcus aureus (MRSA) and vancomycin-resistant enterococci (VRE). METHODS: We conducted a single-centre, sequential, before-and-after observational study. Patient microbiological and clinical data were compared in the 12 months before and after the introduction of CHG bathing in the ICU. RESULTS: A total of 4262 ICU admissions were studied, 2117 before and 2145 during the CHG-bathing period. There were no significant changes in the rates of CLABSI (from 1.69/1000 central venous catheter-days [95% CI, 0.68-3.48] to 1.33 [95% CI, 0.49-2.90]; P = 0.68), or ICU-acquired positive blood cultures (from 5.14/1000 patientdays [95% CI, 3.45-7.39] to 4.45 [95% CI, 3.00-6.36]; P = 0.58). However, we observed a lower incidence of MRSA acquisition during the CHG-bathing period (mean difference, -2.13 [95% CI, -3.65 to -0.60] per 1000 patient-days; P = 0.007). There was no difference in the rate of isolates involving other pathogens including VRE. CONCLUSIONS: In a tertiary Australian ICU, routine CHG bathing compared with triclosan did not affect the rates of ICU-acquired CLABSI or positive blood cultures. However, it significantly decreased the incidence of MRSA acquisition.

The Presence of Diabetes and Higher HbA1c Are Independently Associated With Adverse Outcomes After Surgery.

OBJECTIVE: Limited studies have examined the association between diabetes and HbA1c with postoperative outcomes. We investigated the association of diabetes, defined categorically, and the association of HbA1c as a continuous measure, with postoperative outcomes. RESEARCH DESIGN AND METHODS: In this prospective, observational study, we measured the HbA1c of surgical inpatients age ≥54 years at a tertiary hospital between May 2013 and January 2016. Patients were diagnosed with diabetes if they had preexisting diabetes or an HbA1c ≥6.5% (48 mmol/mol) or with prediabetes if they had an HbA1c between 5.7 and 6.4% (39 and 48 mmol/mol). Patients with an HbA1c <5.7% (39 mmol/mol) were categorized as having normoglycemia. Baseline demographic and clinical data were obtained from hospital records, and patients were followed for 6 months. Random-effects logistic and negative binomial regression models were used for analysis, treating surgical units as random effects. We undertook classification and regression tree (CART) analysis to design a 6-month mortality risk model. RESULTS: Of 7,565 inpatients, 30% had diabetes, and 37% had prediabetes. After adjusting for age, Charlson comorbidity index (excluding diabetes and age), estimated glomerular filtration rate, and length of surgery, diabetes was associated with increased 6-month mortality (adjusted odds ratio [aOR] 1.29 [95% CI 1.05-1.58]; P = 0.014), major complications (1.32 [1.14-1.52]; P < 0.001), intensive care unit (ICU) admission (1.50 [1.28-1.75]; P < 0.001), mechanical ventilation (1.67 [1.32-2.10]; P < 0.001), and hospital length of stay (LOS) (adjusted incidence rate ratio [aIRR] 1.08 [95% CI 1.04-1.12]; P < 0.001). Each percentage increase in HbA1c was associated with increased major complications (aOR 1.07 [1.01-1.14]; P = 0.030), ICU admission (aOR 1.14 [1.07-1.21]; P < 0.001), and hospital LOS (aIRR 1.05 [1.03-1.06]; P < 0.001). CART analysis confirmed a higher risk of 6-month mortality with diabetes in conjunction with other risk factors. CONCLUSIONS: Almost one-third of surgical inpatients age ≥54 years had diabetes. Diabetes and higher HbA1c were independently associated with a higher risk of adverse outcomes after surgery.

Using Routine Hemoglobin A1c Testing to Determine the Glycemic Status in Psychiatric Inpatients.

AIM: Using routine hemoglobin A1c (HbA1c) testing to describe the prevalence, characteristics, and length of stay (LOS) of psychiatry inpatients with type 2 diabetes compared to those with pre-diabetes and those without diabetes. METHODS: In this prospective observational study, all inpatients aged greater than 30 years admitted to the Austin Health Psychiatry Unit, a major tertiary hospital, affiliated with the University of Melbourne, between February 2014 and April 2015 had routine HbA1c testing as part of the Diabetes Discovery Initiative. Patients were divided into three groups: diabetes (HbA1c ≥ 6.5%, 48 mmol/mol), pre-diabetes (HbA1c 5.7-6.4%, 39-46 mmol/mol), or no diabetes (HbA1c ≤ 5.6%, 38 mmol/mol). Baseline characteristics, co-morbidities, psychiatric illnesses, and treatment were recorded. RESULTS: There were a total of 335 psychiatry inpatients (median age 41 years). The most prevalent diagnoses were schizophrenia, depression, and substance abuse. Of the 335 psychiatric inpatients, 14% (n = 46) had diabetes and 19% (n = 63) had pre-diabetes, a prevalence threefold greater than in the aged matched general population. Compared to inpatients with pre-diabetes and no diabetes, those with diabetes were older and were at least twice as likely to have hypertension, obesity, and hyperlipidemia (all p ≤ 0.002). In multivariable analyses, diabetes was associated with increasing age (p = 0.02), substance abuse (p = 0.04), dyslipidaemia (p = 0.03), and aripiprazole use (p = 0.01). Patients with diabetes also had a 70% longer expected LOS (95% CI: 20-130%; p = 0.001), compared to those with pre-diabetes and no diabetes. CONCLUSION: Despite relative youth, one-third of all psychiatric inpatients above the age of 30 have diabetes or pre-diabetes. Presence of diabetes in psychiatric inpatients is associated with older age, substance abuse, and longer LOS. Routine inpatient HbA1c testing provides an opportunity for early detection and optimization of diabetes care.

Epidemiology of long-stay patients in a university teaching hospital.

BACKGROUND: Patients admitted to acute care hospitals may have multiple comorbidities, and a small proportion may stay for a protracted period. AIMS: To assess the proportion of hospital patients who are long stay (≥14 days) and evaluate associations with baseline variables and subsequent inpatient morbidity and mortality. METHODS: This is a retrospective observational study of patients aged ≥18 years staying in hospital for at least 24 h between 1 July 2013 and 30 June 2014. RESULTS: There were 22 094 admissions in 15 623 patients. The median (interquartile range (IQR)) length of stay (LOS) was 4 (2-8) days, and 10% had a LOS >16 days. Long-stay admissions comprised 13.1% of admissions but used 49.1% of bed days. Long-stay admissions were more likely to be associated with intensive care unit admission (21.2 vs 6.0%), medical emergency team review (20.5 vs 4.3%) and a longer duration of mechanical ventilation (P < 0.0001 all comparisons). Long-stay patients were more likely to develop in-hospital complications, were more likely to die in hospital (8.2 vs 3.1%) and were less likely to be discharged home (P < 0.001 all comparisons). Multiple variable analysis revealed several associations with prolonged stay, including multiple admissions in the study period, the nature of the admitting unit, the Charlson comorbidity index at admission, admission from another hospital and any history of smoking. CONCLUSIONS: Patients staying at least 14 days comprised one seventh of hospital admissions but used half of bed days and suffered increased in-hospital morbidity and mortality. Several pre-admission associations with prolonged stay were identified.

Correction: Using Automated HbA1c Testing to Detect Diabetes Mellitus in Orthopedic Inpatients and Its Effect on Outcomes.

[This corrects the article DOI: 10.1371/journal.pone.0168471.].

Using Automated HbA1c Testing to Detect Diabetes Mellitus in Orthopedic Inpatients and Its Effect on Outcomes.

AIMS: The prevalence of diabetes is rising, and people with diabetes have higher rates of musculoskeletal-related comorbidities. HbA1c testing is a superior option for diabetes diagnosis in the inpatient setting. This study aimed to (i) demonstrate the feasibility of routine HbA1c testing to detect the presence of diabetes mellitus, (ii) to determine the prevalence of diabetes in orthopedic inpatients and (iii) to assess the association between diabetes and hospital outcomes and post-operative complications in orthopedic inpatients. METHODS: All patients aged ≥54 years admitted to Austin Health between July 2013 and January 2014 had routine automated HbA1c measurements using automated clinical information systems (CERNER). Patients with HbA1c ≥6.5% were diagnosed with diabetes. Baseline demographic and clinical data were obtained from hospital records. RESULTS: Of the 416 orthopedic inpatients included in this study, 22% (n = 93) were known to have diabetes, 4% (n = 15) had previously unrecognized diabetes and 74% (n = 308) did not have diabetes. Patients with diabetes had significantly higher Charlson comorbidity scores compared to patients without diabetes (median, IQR; 1 [0,2] vs 0 [0,0], p<0.001). After adjusting for age, gender, comorbidity score and estimated glomerular filtration rate, no significant differences in the length of stay (IRR = 0.92; 95%CI: 0.79-1.07; p = 0.280), rates of intensive care unit admission (OR = 1.04; 95%CI: 0.42-2.60, p = 0.934), 6-month mortality (OR = 0.52; 95%CI: 0.17-1.60, p = 0.252), 6-month hospital readmission (OR = 0.93; 95%CI: 0.46-1.87; p = 0.828) or any post-operative complications (OR = 0.98; 95%CI: 0.53-1.80; p = 0.944) were observed between patients with and without diabetes. CONCLUSIONS: Routine HbA1c measurement using CERNER allows for rapid identification of inpatients admitted with diabetes. More than one in four patients admitted to a tertiary hospital orthopedic ward have diabetes. No statistically significant differences in the rates of hospital outcomes and post-operative complications were identified between patients with and without diabetes.

Epidemiology of early Rapid Response Team activation after Emergency Department admission.

BACKGROUND: Rapid Response Team (RRT) calls can often occur within 24h of hospital admission to a general ward. We seek to determine whether it is possible to identify these patients before there is a significant clinical deterioration. METHODS: Retrospective case-controlled study comparing patient characteristics, vital signs, and hospital outcomes in patients triggering RRT activation within 24h of ED admission (cases) with matched ED admissions not receiving a RRT call (controls). RESULTS: Over 12 months, there were 154 early RRT calls. Compared with controls, cases had a higher heart rate (HR) at triage (92 vs. 84 beats/min; p=0.008); after 3h in the ED (91 vs. 80 beats/min; p=0.0007); and at ED discharge (91 vs. 81 beats/min; p=0.0005). Respiratory rate (RR) was also higher at triage (21.2 vs. 19.2 breaths/min; p=0.001). On multiple variable analysis, RR at triage and HR before ward transfer predicted early RRT activation: OR 1.07 [95% CI 1.02-1.12] for each 1 breath/min increase in RR; and 1.02 [95% CI 1.002-1.030] for each beat/minute increase in HR, respectively. Study patients required transfer to the intensive care in approximately 20% of cases and also had a greater mortality: (21% vs. 6%; OR 4.65 [95% CI 1.86-11.65]; p=0.0003) compared with controls. CONCLUSIONS: Patients that trigger RRT calls within 24h of admission have a fourfold increase in risk of in-hospital mortality. Such patients may be identified by greater tachycardia and tachypnoea in the ED.

Inpatient HbA1c testing: a prospective observational study.

OBJECTIVE: To use admission inpatient glycated hemoglobin (HbA1c) testing to help investigate the prevalence of unrecognized diabetes, the cumulative prevalence of unrecognized and known diabetes, and the prevalence of poor glycemic control in both. Moreover, we aimed to determine the 6-month outcomes for these patients. Finally, we aimed to assess the independent association of diabetes with these outcomes. RESEARCH DESIGN AND METHODS: Prospective observational cohort study conducted in a tertiary hospital in Melbourne, Australia. PATIENTS: A cohort of 5082 inpatients ≥54 years admitted between July 2013 and January 2014 underwent HbA1c measurement. A previous diagnosis of diabetes was obtained from the hospital medical record. Patient follow-up was extended to 6 months. RESULTS: The prevalence of diabetes (known and unrecognized) was 34%. In particular, we identified that unrecognized but HbA1c-confirmed diabetes in 271 (5%, 95% CI 4.7% to 6.0%) patients, previously known diabetes in 1452 (29%, 95% CI 27.3% to 29.8%) patients; no diabetes in 3359 (66%, 95% CI 64.8-67.4%) patients. Overall 17% (95% CI 15.3% to 18.9%) of patients with an HbA1c of >6.5% had an HbA1c ≥8.5%. After adjusting for age, gender, Charlson Index score, estimated glomerular filtration rate, and hemoglobin levels, with admission unit treated as a random effect, patients with previously known diabetes had lower 6-month mortality (OR 0.69, 95% CI 0.56 to 0.87, p=0.001). However, there were no significant differences in proportions of intensive care unit admission, mechanical ventilation or readmission within 6 months between the 3 groups. CONCLUSIONS: Approximately one-third of all inpatients ≥54 years of age admitted to hospital have diabetes of which about 1 in 6 was previously unrecognized. Moreover, poor glycemic control was common. Proportions of intensive care unit admission, mechanical ventilation, or readmission were similar between the groups. Finally, diabetes was independently associated with lower 6-month mortality.

Clinically manifest thromboembolic complications of femoral vein catheterization for continuous renal replacement therapy.

PURPOSE: The safety of femoral vein (FV) catheterization for continuous renal replacement therapy is uncertain. We sought to determine the incidence of clinically manifest venous thromboembolism (VTE) in such patients. METHODS: We retrospectively studied patients with femoral high flow catheters (≥ 13F) (December 2005 to February 2011). Discharge diagnostic codes were independently screened for VTE. The incidence of VTE was also independently similarly assessed in a control cohort of patients ventilated for more than 2 days (January 2011 to December 2011) in the same intensive care unit (ICU). RESULTS: We studied 380 patients. Their mean age was 61 years, and 59% were male. The mean Acute Physiology and Chronic Health Evaluation III score was 84; average duration of continuous renal replacement therapy was 74 hours, and 232 patients (61%) survived to hospital discharge with an average length of hospital stay of 22 days. Only 5 patients (1.3%) had clinically manifest VTE after FV catheterization. In the control cohort of 514 ICU patients, the incidence of VTE was 4.4% (P < .05 compared with FV group). CONCLUSION: The incidence of clinically manifest VTE after FV catheterization with high flow catheters is low and lower to that seen in general ICU patients.