2017
DOI: 10.1089/sur.2016.264
|View full text |Cite
|
Sign up to set email alerts
|

A Prognostic Scoring Tool for Cesarean Organ/Space Surgical Site Infections: Derivation and Internal Validation

Abstract: This scoring tool showed a high predictive ability regarding cesarean organ/space SSIs on the derivation data and reproducibility was demonstrated on internal validation. It could assist practitioners prioritize patient care and management depending on risk category and decrease SSI rates in cesarean deliveries.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1

Citation Types

0
3
0

Year Published

2022
2022
2022
2022

Publication Types

Select...
1

Relationship

0
1

Authors

Journals

citations
Cited by 1 publication
(3 citation statements)
references
References 23 publications
0
3
0
Order By: Relevance
“…Our study also included several different surgical types which not only increased the generalizability of our findings, but also confirmed what has been found in previous studies evaluating OSIs amongst more specific and individual surgical operations. [7][8][9][10][11][12][13][14][15][16][17][18] However, a limitation to our study was the large percentage of patients that presented for elective surgery which could have biased our results. Additionally, other limitations include its retrospective nature as well as the potential bias introduced given the number of included predictor variables in our statistical model.…”
Section: Discussionmentioning
confidence: 96%
See 2 more Smart Citations
“…Our study also included several different surgical types which not only increased the generalizability of our findings, but also confirmed what has been found in previous studies evaluating OSIs amongst more specific and individual surgical operations. [7][8][9][10][11][12][13][14][15][16][17][18] However, a limitation to our study was the large percentage of patients that presented for elective surgery which could have biased our results. Additionally, other limitations include its retrospective nature as well as the potential bias introduced given the number of included predictor variables in our statistical model.…”
Section: Discussionmentioning
confidence: 96%
“…Here, we build on the current literature to identify risk factors that demonstrate distinct associations with superficial, deep, and organ site infections. [7][8][9][10][11][12][13][14][15][16][17][18] Our multivariable model cindex of .846 can be compared to the current NSQIP model c-index of .807, in which all SSIs are grouped together in one measure. By stratifying and specifying OSIs separate from superficial and deep infections, we have increased the predictive power of identifying which patients may develop an OSI.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation