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.

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.

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.

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.

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.