We used an algorithm that combined billing codes to identify comorbidities, procedure codes to identify surgeries associated with blood loss, and NLP to identify relevant medications, while retaining a sufficiently large sample size (Figure 1).
The protocol included T1 sequences with and without contrast enhancement, T2 FLAIR, and diffusion-weighted imaging (DWI) to identify surgery-related ischemic events.
Prior studies have identified surgery or invasive medical procedures as main risk factors associated with transmission of HCV infection in developed countries [ 20, 22].
In a prospective observational study of 367 patients, Zuckerman identified surgery after the second day following admission to hospital as a risk for patients.
The objective of this study was to determine the quality of different administrative data sources in identifying surgery for colorectal cancer with respect to completeness and accuracy.
The following analyses excluded women who completed the baseline questionnaire prior to surgery (n = 21), more than 90 days after surgery (n = 11), and those with no identified surgery date (n = 21).
The purpose of this study, therefore, was to evaluate the completeness of different administrative data sources in identifying surgery for colorectal cancer compared to a cancer registry that collects the date of surgery conducted for removal of the primary tumor.
Patients were tracked for previous prolapse repair procedures (since 1995) before their identified surgery date within the study period, and those who had any type of prolapse repair surgery before the index date were excluded from the analyses.
[ 24] Kenzora on the other hand identifies surgery within the first 24 hours as a risk factor for patients: he found that if surgery was performed within 24 hours, one-year mortality was 34%, whereas if it was delayed to between the second and fifth day, it ranged from 6 to 11%.
We identified surgeries or procedures that were done concurrently with insertion of tympanostomy tubes from hospital administrative data.
The Physician Billing data alone or combined with Hospital Inpatient data demonstrated equally high sensitivity (97% for both) and observed agreement with the Cancer Registry data (93% for both) for identifying surgeries.
