The review of our report, “Accurate preoperative prediction of unplanned 30-day postoperative
readmission using 8 predictor variables,”
1
by Karimi, Pourmehdi, and Nader
2
makes three methodologic points:
- •We should have developed and validated the models using two different groups.
- •Interactions, particularly qualitative interactions, between important variables should have been evaluated.
- •The pattern of the missing data should have been taken into account.
To read this article in full you will need to make a payment
Purchase one-time access:
Academic & Personal: 24 hour online accessCorporate R&D Professionals: 24 hour online accessOne-time access price info
- For academic or personal research use, select 'Academic and Personal'
- For corporate R&D use, select 'Corporate R&D Professionals'
Subscribe:
Subscribe to SurgeryAlready a print subscriber? Claim online access
Already an online subscriber? Sign in
Register: Create an account
Institutional Access: Sign in to ScienceDirect
References
- Accurate preoperative prediction of unplanned 30-day postoperative readmission using 8 predictor variables.Surgery. 2019; 166: 812-819
- Accurate preoperative prediction of unplanned, 30-day postoperative readmission using 8 predictor variables: Methodological issues.Surgery. 2020; 167: 675
- Surgical risk preoperative assessment system (SURPAS). II. Parsimonious risk models for postoperative adverse outcomes addressing need for laboratory variables and surgeon specialty-specific models.Ann Surg. 2016; 264: 10-22
- Surgical risk preoperative assessment system (SURPAS). III. Accurate preoperative prediction of 8 adverse outcomes using 8 predictor variables.Ann Surg. 2016; 264: 23-31
Article info
Publication history
Published online: October 31, 2019
Accepted:
August 17,
2019
Identification
Copyright
© 2019 Elsevier Inc. All rights reserved.
ScienceDirect
Access this article on ScienceDirectLinked Article
- Accurate preoperative prediction of unplanned, 30-day postoperative readmission using 8 predictor variables: Methodological issuesSurgeryVol. 167Issue 3
- PreviewWe would like to thank Gibula et al for their study developing the accurate preoperative prediction of unplanned, 30-day postoperative readmission using 8 predictor variables.1 They were pursuing this goal in their study that developed and implemented the Surgical Risk Preoperative Assessment System (SURPAS), which uses just 8 preoperative predictor variables to estimate the risk of 11 adverse outcomes across a broad spectrum of surgical specialties. Preliminary analyses were performed using 28 preoperative variables to determine which factors showed a bivariable association with unplanned, related 30-day hospital readmission.
- Full-Text
- Preview
