Capturing Preoperative Patient Data for Outcomes Analysis
At the preoperative clinics, nurses document histories using a structured electronic questionnaire (Clinical Anesthesia Information System PreOp Clinic, Adjuvant Informatics, Flamborough, Ontario, Canada) that captures age, sex, comorbidities, and medications in a linkable data set.24 (link) Each record includes an ASA-PS score assigned by the anaesthesiologist in the clinic (Table 1). Case records from the clinic database were linked to the Enterprise Electronic Data Warehouse (EDW), which captures all information recorded by the hospital electronic charting system (MISYS EPR; Quadramed Corporation, Reston, VA, USA). The EDW includes information on surgeries, laboratory tests, in-hospital medications, hospital length-of-stay, in-hospital mortality, and International Classification of Diseases 10th Revision (ICD-10) diagnostic codes. Documented surgical information includes an ASA-PS score assigned by the anaesthesiologist in the operating theatre.
Description of ASA-PS classes
ASA-PS class
Description
Class I
A normal healthy patient
Class II
A patient with mild systemic disease
Class III
A patient with severe systemic disease
Class IV
A patient with severe systemic disease that is a constant threat to life
Class V
A moribund patient who is not expected to survive without operation
Class VI
A declared brain-dead patient whose organs are being removed for donation
The primary variables of interest were ASA-PS scores assigned in the preoperative clinics and operating theatres. Patients' age, sex, surgery, preoperative creatinine concentration, hospital length of stay, in-hospital 30 day mortality, and postoperative myocardial injury (troponin I concentration exceeding 0.30 μg litre−1) were captured from the EDW. We ascertained specific comorbidities using the clinic data set (hypertension, coronary artery disease, heart failure, diabetes, cerebrovascular disease, asthma, chronic obstructive pulmonary disease) and EDW (Charlson comorbidity index).23 (link)25 (link) We calculated the RCRI score using information from the EDW (surgical procedure and preoperative creatinine concentration) and clinic data set (other comorbidities).11 (link)
Partial Protocol Preview
This section provides a glimpse into the protocol. The remaining content is hidden due to licensing restrictions, but the full text is available at the following link:
Access Free Full Text.
Sankar A., Johnson S.R., Beattie W.S., Tait G, & Wijeysundera D.N. (2014). Reliability of the American Society of Anesthesiologists physical status scale in clinical practice. BJA: British Journal of Anaesthesia, 113(3), 424-432.
Etiam vel ipsum. Morbi facilisis vestibulum nisl. Praesent cursus laoreet felis. Integer adipiscing pretium orci. Nulla facilisi. Quisque posuere bibendum purus. Nulla quam mauris, cursus eget, convallis ac, molestie non, enim. Aliquam congue. Quisque sagittis nonummy sapien. Proin molestie sem vitae urna. Maecenas lorem.
As authors may omit details in methods from publication, our AI will look for missing critical information across the 5 most similar protocols.
About PubCompare
Our mission is to provide scientists with the largest repository of trustworthy protocols and intelligent analytical tools, thereby offering them extensive information to design robust protocols aimed at minimizing the risk of failures.
We believe that the most crucial aspect is to grant scientists access to a wide range of reliable sources and new useful tools that surpass human capabilities.
However, we trust in allowing scientists to determine how to construct their own protocols based on this information, as they are the experts in their field.
Ready to
get started?
Sign up for free.
Registration takes 20 seconds.
Available from any computer
No download required