Internal and emergency medicine
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Observational Study
Musculoskeletal injury quality outcome indicators for the emergency department.
High standards of care for musculoskeletal injuries presenting to emergency departments (ED) must be maintained despite financial constraints, the model of care in place, or the pressure to reach time-based performance measures. Outcome quality indicators (QIs) provide a tangible way of assessing and improving the outcomes of health-care delivery. This study aimed to develop a set of outcome QIs for musculoskeletal injuries in the ED that are meaningful, valid, feasible to collect, simple to use for clinical quality improvement and chosen by experts in the field. ⋯ Using the field study results, the expert panel voted 11 outcome QIs into the final set. These covered effectiveness of pain management, timeliness to discharge, re-presentations to the ED and unplanned visits to health professionals in the community, missed injuries, opioids side effects and the patient experience. An evidence-based set of outcome quality indicators is now available to support clinical quality improvement of musculoskeletal injury care in the ED setting.
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Once diagnostic work-up and first therapy are completed in patients visiting the emergency department (ED), boarding them within the ED until an in-hospital bed became available is a common practice in busy hospitals. Whether this practice may harm the patients remains a debate. We sought to determine whether an ED boarding time longer than 4 h places the patients at increased risk of in-hospital death. ⋯ Sensitivity analyses showed that these findings might be robust to unmeasured confounding. Hospital LOS was significantly longer in patients exposed to ED boarding time longer than 4 h: median difference 2 days (95% CI 1-2) (P < 0.001) in matched analysis and mean difference 1.15 days (95% CI 1.02-1.28) (P < 0.001) in multivariable unmatched analysis. In this single-center propensity score-based cohort analysis, patients experiencing an ED boarding time longer than 4 h before being transferred to an in-patient bed were at increased risk of hospital death.
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Observational Study
Lacunar stroke syndromes as predictors of lacunar and non-lacunar infarcts on neuroimaging: a hospital-based study.
Lacunar syndromes are usually caused by small ischemic lesions called lacunar infarcts. However, non-lacunar infarcts account for about 20% of lacunar syndromes. The aim of this study was to identify clinical predictors of lacunar syndromes led by non-lacunar infarcts. ⋯ On multivariate analysis, atrial fibrillation (OR 1.67, 95% CI 1.09-2.31; p = 0.002) and higher NIHSS (OR 1.12 for each point increase, 95% CI 1.09-1.15; p < 0.001) were predictors of non-lacunar infarcts in all stroke cases, while lacunar syndromes were inversely associated with non-lacunar infarcts (OR 0.15, 95% CI 0.11-0.20; p < 0.001). Atrial fibrillation was the only predictor of non-lacunar infarcts in patients with lacunar syndromes (OR 2.62, 95% CI 1.33-5.18; p = 0.005). 21% of patients with lacunar syndromes had non-lacunar infarctions. Atrial fibrillation turned out to be a predictor of lacunar syndrome due to non-lacunar infarct.
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Observational Study
Electrocardiographic T wave alterations and prediction of hyperkalemia in patients with acute kidney injury.
Electrocardiographic (ECG) alterations are common in hyperkalemic patients. While the presence of peaked T waves is the most frequent ECG alteration, reported findings on ECG sensitivity in detecting hyperkalemia are conflicting. Moreover, no studies have been conducted specifically in patients with acute kidney injury (AKI). ⋯ Nonetheless, the model accuracy was poor in both full and test sample [root mean square error (RMSE) = 0.96 mEq/L and adjR2 = 0.08 and RMSE = 0.97 mEq/L, adjR2 = 0.06, respectively]. T wave amplitude and the use of loop diuretics had also poor accuracy in predicting hyperkalemia in both full and test sample [area-under-curve (AUC) at receiver-operator curve (ROC) analysis 0.74 and AUC 0.72, respectively]. Our findings show that, in patients with AKI, electrocardiographic changes in T waves are poor predictors of serum potassium levels and of the presence of hyperkalemia.
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Acute kidney injury (AKI) is a common complication in patients hospitalized with heart failure (HF). There is a paucity of research on the incidence and consequences of AKI among patients hospitalized with HF who do not have evidence of chronic kidney disease (CKD). The National Inpatient Sample database was used to identify index hospitalizations for acute HF from January 2012 through September 2015. ⋯ Similarly, length of stay and cost of care for the HFwAKI group were significantly higher as well. New-onset AKI among hospitalizations for HF poses a significant health problem, especially considering the increasing prevalence of HF. Further research into the causes of AKI among HF hospitalizations is, therefore, important as it will enable the development of treatment strategies to prevent AKI in HF hospitalizations and, consequently, benefit both the patients and health care system of the United States.