Predicting medical emergency team calls, cardiac arrest calls and re-admission after intensive care discharge: creation of a tool to identify at-risk patients.

We aimed to develop a predictive model for intensive care unit (ICU)-discharged patients at risk of post-ICU deterioration. We performed a retrospective, single-centre cohort observational study by linking the hospital admission, patient pathology, ICU, and medical emergency team (MET) databases. All patients discharged from the Alfred Hospital ICU to wards between July 2012 and June 2014 were included. The primary outcome was a composite endpoint of any MET call, cardiac arrest call or ICU re-admission. Multivariable logistic regression analysis was used to identify predictors of outcome and develop a risk-stratification model. Four thousand, six hundred and thirty-two patients were included in the study. Of these, 878 (19%) patients had a MET call, 51 (1.1%) patients had cardiac arrest calls, 304 (6.5%) were re-admitted to ICU during the same hospital stay, and 964 (21%) had MET calls, cardiac arrest calls or ICU re-admission. A discriminatory predictive model was developed (area under the receiver operating characteristic curve 0.72 [95% confidence intervals {CI} 0.70 to 0.73]) which identified the following factors: increasing age (odds ratio [OR] 1.012 [95% CI 1.007 to 1.017] P <0.001), ICU admission with subarachnoid haemorrhage (OR 2.26 [95% CI 1.22 to 4.16] P=0.009), admission to ICU from a ward (OR 1.67 [95% CI 1.31 to 2.13] P <0.001), Acute Physiology and Chronic Health Evaluation (APACHE) III score without the age component (OR 1.005 [95% CI 1.001 to 1.010] P=0.025), tracheostomy on ICU discharge (OR 4.32 [95% CI 2.9 to 6.42] P <0.001) and discharge to cardiothoracic (OR 2.43 [95%CI 1.49 to 3.96] P <0.001) or oncology wards (OR 2.27 [95% CI 1.05 to 4.89] P=0.036). Over the two-year period, 361 patients were identified as having a greater than 50% chance of having post-ICU deterioration. Factors are identifiable to predict patients at risk of post-ICU deterioration. This knowledge could be used to guide patient follow-up after ICU discharge, optimise healthcare resources, and improve patient outcomes and service delivery.

Tonometry in adult yellow-footed tortoises (Geochelone denticulata).

OBJECTIVE: To determine intraocular pressure (IOP) in adult yellow-footed tortoises using applanation tonometry. ANIMALS: Fifteen healthy adult captive yellow-footed tortoises (eight males and seven females). PROCEDURES: Intraocular pressures were estimated for tortoises by using an applanation tonometer after topical anesthesia. Body length, measured from nuchal to anal scutes, ranged from 27.5 to 57.2 cm. Five measurements from each eye were obtained by a single observer in an ambient temperature of approximately 30 degrees C. RESULTS: Mean +/- SEM IOP of 30 eyes of 15 yellow-footed tortoises was 14.2 +/- 1.2 mmHg. Range of IOP was 6-30 mmHg for tortoises. Significant differences were detected neither between right and left eyes (P = 0.357) of individual tortoises, nor between males and females (P = 0.524). Observer's readability was good (intraclass coefficient = 0.65), and IOP did not change over the ordered five measurements. CONCLUSIONS: There was no significant difference in IOP between males and females in this specie. Tonometry values for normal eyes may represent a useful diagnostic methodology for recognition and treatment of ocular diseases in reptiles.

AUTRES--the Johns Hopkins Hospital automated resume.

The Johns Hopkins Hospital has developed AUTRES, an electronic discharge summary. This computer generated report was designed to provide improved continuity in the care of patients by offering a legible, standardized summary of the events of hospitalization. It can be sent by mail, FAX, or electronically (computer-to-computer) to the next care giver who will see the patient. It is available from any network attached terminal at the hospital and School of Medicine to support re-admission to the hospital, treatment in the emergency room, or outpatient visits. AUTRES first ran in fully supported production serving the Department of Medicine in 1988. Re-engineered to take advantage of cooperative processing, it has been implemented in Neurology, Internal Medicine, Obstetrics and Gynecology and Pediatrics, with plans for phased installation in the remaining clinical departments of The Johns Hopkins Hospital.