Validation of data from electronic data warehouse in diabetic ketoacidosis: Caution is needed.

Aims: This study validated enterprise data warehouse (EDW) data for a cohort of hospitalized patients with a primary diagnosis of diabetic ketoacidosis (DKA).

Methods: 247 patients with 319 admissions for DKA (ICD-9 code 250.12, 250.

Risk assessment of the hospital discharge process of high-risk patients with diabetes.

Objectives: Describe the application of a risk assessment to identify failures in the hospital discharge process of a high-risk patient group, liver transplant (LT) recipients with diabetes mellitus (DM) and/or hyperglycaemia who require high-risk medications.

Design: A Failure Modes, Effects and Criticality Analysis (FMECA) of the hospital discharge process of LT recipients with DM and/or hyperglycaemia who required DM education and training before discharge was conducted using information from clinicians, patients and data extraction from the electronic health records (EHR). Failures and their causes were identified and the frequency and characteristics (harm, detectability) of each failure were assigned using a score of low/best (1) to high/worst (10); a Criticality Index (CI=Harm×Frequency) and a Risk Priority Number (RPN=Harm×Frequency×Detection) were also calculated.

Diabetes Care After Transplant: Definitions, Risk Factors, and Clinical Management.

Patients who undergo solid organ transplantation may have preexisting diabetes mellitus (DM), develop new-onset DM after transplantation (NODAT), or have postoperative hyperglycemia that resolves shortly after surgery. Although insulin is usually used to control hyperglycemia in the hospital, following discharge most of the usual diabetes oral and parenteral medications can be used in treatment. However, when there are comorbidities such as impaired kidney or hepatic function, or heart disease, special precautions may be necessary.