Lack of recognition and documentation of stress hyperglycemia is a disruptor of optimal continuity of care.

Stress hyperglycemia (SH) is a manifestation of altered glucose metabolism in acutely ill patients which worsens outcomes and may represent a risk factor for diabetes. Continuity of care can assess this risk, which depends on quality of hospital clinical documentation. We aimed to determine the incidence of SH and documentation tendencies in hospital discharge summaries and continuity notes. We retrospectively examined diagnoses during a 12-months period. A 3-months representative sample of discharge summaries and continuity clinic notes underwent manual abstraction. Over 12-months, 495 admissions had ≥ 2 blood glucose measurements ≥ 10 mmol/L (180 mg/dL), which provided a SH incidence of 3.3%. Considering other glucose states suggestive of SH, records showing ≥ 4 blood glucose measurements ≥ 7.8 mmol/L (140 mg/dL) totaled 521 admissions. The entire 3-months subset of 124 records lacked the diagnosis SH documentation in discharge summaries. Only two (1.6%) records documented SH in the narrative of hospital summaries. Documentation or assessment of SH was absent in all ambulatory continuity notes. Lack of documentation of SH contributes to lack of follow-up after discharge, representing a disruptor of optimal care. Activities focused on improving quality of hospital documentation need to be integral to the education and competency of providers within accountable health systems.

Clinical decision support to improve management of diabetes and dysglycemia in the hospital: a path to optimizing practice and outcomes.

INTRODUCTION: Innovative approaches are needed to design robust clinical decision support (CDS) to optimize hospital glycemic management. We piloted an electronic medical record (EMR), evidence-based algorithmic CDS tool in an academic center to alert clinicians in real time about gaps in care related to inpatient glucose control and insulin utilization, and to provide management recommendations. RESEARCH DESIGN AND METHODS: The tool was designed to identify clinical situations in need for action: (1) severe or recurrent hyperglycemia in patients with diabetes: blood glucose (BG) ≥13.88 mmol/L (250 mg/dL) at least once or BG ≥10.0 mmol/L (180 mg/dL) at least twice, respectively; (2) recurrent hyperglycemia in patients with stress hyperglycemia: BG ≥10.0 mmol/L (180 mg/dL) at least twice; (3) impending or established hypoglycemia: BG 3.9-4.4 mmol/L (70-80 mg/dL) or ≤3.9 mmol/L (70 mg/dL); and (4) inappropriate sliding scale insulin (SSI) monotherapy in recurrent hyperglycemia, or anytime in patients with type 1 diabetes. The EMR CDS was active (ON) for 6 months for all adult hospital patients and inactive (OFF) for 6 months. We prospectively identified and compared gaps in care between ON and OFF periods. RESULTS: When active, the hospital CDS tool significantly reduced events of recurrent hyperglycemia in patients with type 1 and type 2 diabetes (3342 vs 3701, OR=0.88, p=0.050) and in patients with stress hyperglycemia (288 vs 506, OR=0.60, p<0.001). Hypoglycemia or impending hypoglycemia (1548 vs 1349, OR=1.15, p=0.050) were unrelated to the CDS tool on subsequent analysis. Inappropriate use of SSI monotherapy in type 1 diabetes (10 vs 22, OR=0.36, p=0.073), inappropriate use of SSI monotherapy in type 2 diabetes (2519 vs 2748, OR=0.97, p=0.632), and in stress hyperglycemia subjects (1617 vs 1488, OR=1.30, p<0.001) were recognized. CONCLUSION: EMR CDS was successful in reducing hyperglycemic events among hospitalized patients with dysglycemia and diabetes, and inappropriate insulin use in patients with type 1 diabetes.

Effects of Inhaled Corticosteroids and Particle Size on Risk of Obstructive Sleep Apnea: A Large Retrospective Cohort Study.

Background: Inhaled corticosteroids (ICS) produce local effects on upper airway dilators that could increase the risk of developing obstructive sleep apnea (OSA). Given that the particle size of ICS changes their distribution, the particle size of ICS may impact the risk of developing OSA. Objectives: In this large retrospective study, we explore the relationship of ICS use and OSA in patients with asthma. In addition, we seek to determine if this relationship is affected by the particle size of ICS. Methods: Using electronic health records, we established a cohort of 29,816 asthmatics aged 12 and older with a diagnosis of asthma documented by ICD-9 or ICD-10 codes between January 2011 and August 2016. We performed analyses of variance and multivariate logistic regression analysis to determine the effects ICS on the diagnosis of OSA with sub-analysis by particle size of ICS. Results: Uncontrolled asthmatics showed increased odds of receiving a diagnosis of OSA whether when looking at ACT scores (adjusted odds ratio (aOR) 1.60, 95% CI 1.32-1.94) or PFT results (aOR 1.45, 95% CI 1.19-1.77). Users of ICS also had increased odds of OSA independent of asthma control (aOR 1.58, 95% CI 1.47-1.70). Notably, users of extra-fine particle ICS did not have significantly increased odds of having OSA compared to non-users of ICS (aOR 1.11, 95% CI 0.78-1.58). Conclusions: Use of ICS appears to be an independent risk factor for OSA. Notably, extra-fine particle size ICS do not appear to be associated with an increased risk of OSA.