Using Data to Assess High Use of an Individual SAAR Category

Example Scenario: Your hospital has just begun submitting data into NHSN and you are eager to begin using the data to inform stewardship work at your facility.   

Background: The NHSN AU Option has several reports as part of the Targeted Assessment for Antimicrobial Stewardship (TAS) Strategy that aid facilities in doing initial assessments of antimicrobial use data.  This is an excellent place to help identify initial areas for further assessment.  Once a target is identified, such as high use of a particular SAAR category, stewards can navigate the NHSN data to better identify targets for a stewardship intervention.  Often high use of an SAAR category can be pinpointed to a specific hospital location.  Knowing this allows stewards to design specific stewardship interventions that can rapidly address the problem at the specific source.


Manipulations of NHSN Extracts

Data Visualizations using NHSN AU Option TAS Report- Facility Level

What you will need for creating this data visualization:

  1. Access to NHSN AU data in the Analysis tab in NHSN

 

For this table,  you will use data extracted using the “TAS Report-Facility Level” from the Analysis Tab in NHSN.  This report can be modified to just export data on the time period of interest.  More detailed instructions on how to manipulate this report within NHSN can be found in the CDC quick reference guide TAS Report-Facility-Level.

Table 1. TAS Report for Adult Units

Facility
Name
SAAR
TypeCat
AU-CAD
Rank
Facility
AU-CAD
(Rounded)
Three highest
use drugs within
SAAR Type (Percentage)
Antimicrobial
Days
Predicted
Antimicrobial
Days
Days
Present
Location
SAAR
95%
Confidence
Interval
CDA
TEST
FACILITY- DUKE
ANTIFGL 1 132 FLUCO(84);
ANID(9);
MICA(7);
319 188.800 8456 1.696 1.286, 2.131
  BSCA 2 149 CEFTRX(67);
LEVO(15);
CIPRO(11);
1313 1164.188 8456 1.128 1.068, 1.190
  CDI 3 116 CEFTRX(47);
CEFEP(27);
LEVO(11);
1861 1744.715 8456 1.067 1.019, 1.116
  ALL 4 86 CEFTRX(17);
VANC(15);
PIPERWT(11);
5293 5206.901 8456 1.017 0.989, 1.044
  GRAMPOS 5 -36 VANC(88);
LNZ(7);
DAPTO(5);
795 830.894 8456 0.957 0.892, 1.025
  BSHO 6 -40 PIPERWT(45);
CEFEP(39);
MERO(13);
1285 1325.167 8456 0.970 0.918, 1.024
  NSBL   -40 CEFAZ(60);
AMOXWC(13);
AMPIWS(12);
709 748.756 8456 0.947 0.879, 1.019

[Data Obtained From: NHSN-Analysis-Reports-Antimicrobial Use and Resistance Module- Targeted Assessment for Stewardship (TAS) Reports- TAS Report-Adult SAAR Types-Facility (modified to export as PDF and desired SAAR set at 1 for all drug categories).]

Considerations for Interpretation: The TAS report at the facility level provides insight into the antimicrobial categories that have the highest SAARs and also the individual agents within each SAAR category that is contributing to that SAAR.  From what you see above, the antifungal drug category has the highest SAAR for adult locations at this facility.  This makes antifungal agents an ideal target for a stewardship intervention.

Data Visualizations using NHSN AU Option TAS Report- By Location

Using a similar process, data can be exported that shows which unit has the highest SAAR for each SAAR category.  Instructions on how to modify this report can be found in the CDC Quick Reference Guide: TAS Report- Location-level.

What you will need for data visualization for Table 2:

  1. Access to NHSN AU data in the Analysis tab in NHSN

 

Table 2. TAS Report by SAAR Type and Hospital Location

FACILITY LOCATION GROUP
Facility
Name
SAAR
TypeCat
Facility
AU-CAD
(Rounded)
Location CDC Location Location
Rank
Location
AU-CAD
(Rounded)
Three highest use
drugs within
SAAR Type (Percentage)
Antimicrobial
Days
Predicted
Antimicrobial
Days
Days
Present
Location
SAAR
95%
Confidence
Interval
      ICU IN:ACUTE:CC:MS 5 -21 CEFAZ(65);
AMPIWS(30);
AMOX(5);
37 57.765 668 0.641 0.458, 0.874
      MED/SURG1 IN:ACUTE:WARD:MS 6 -34 AMOXWC(39);
CEFAZ(28);
AMPIWS(15);
74 108.007 1249 0.685 0.542, 0.855
      HEM/ONC IN:ACUTE:WARD:
ONC_HONC
7 -35 AMPIWS(47);
CEFAZ(35);
AMOX(18);
17 51.590 984 0.330 0.198, 0.517
  ANTIFGL 132 ICU IN:ACUTE:CC:MS 1 52 FLUCO(97);
MICA(3);
78 25.844 668 3.018 2.766, 3.591
      MED/SURG2 IN:ACUTE:WARD:MS 2 26 ANID(50);
FLUCO(50);
45 18.893 1219 2.381 1.501, 3.254
      SURG IN:ACUTE:WARD:S   26 FLUCO(79);
ANID(21);
48 21.946 1416 2.187 1.537, 2.327
      MED IN:ACUTE:WARD:M 3 20 FLUCO(100); 43 23.310 1504 1.845 1.439, 2.144
      MED/SURG1 IN:ACUTE:WARD:MS 4 4 FLUCO(100); 23 19.358 1249 1.188 0.927, 1.453
      STEPDOWN IN:ACUTE:STEP 5 2 FLUCO(64);
MICA(36);
27 25.447 1416 1.061 0.927, 1.251
      HEM/ONC IN:ACUTE:WARD:
ONC_HONC
6 2 FLUCO(88);
MICA(12);
56 54.002 984 1.0369 0.828, 1.248

[Data Obtained From: NHSN-Analysis-Reports-Antimicrobial Use and Resistance Module- Targeted Assessment for Stewardship (TAS) Reports- TAS Report-Adult SAAR Types-Locations]

Considerations for Interpretation: The TAS report at the location level allows you to easily see which unit in the hospital is contributing to the overall facility-wide SAAR.  In this example above, the ICU has the highest SAAR.  In this case, the ICU also contributes the largest number of antifungal days for the facility, but please note that because the SAAR is a ratio, this is not always the case.  In other words, a unit may have higher antifungal days, but a lower SAAR if they have a higher number of predicted antimicrobial days.

Potential Stewardship Interventions:

To address the high rate of antifungal drug use, there are some proven antifungal stewardship strategies that may be implemented. 

  • Does your facility have adequate diagnostics to guide antifungal therapy:
    • Are non-culture based diagnostic tests (i.e. galactomannan)?
  • Are there protocols in place that drive unnecessary antifungal agent use?  If so, consider modifying or eliminating these protocols.
    • Some examples of these include routine prophylaxis and empiric sepsis treatment protocols that include antifungal agents for all patients
  • Is there a role for diagnostic stewardship?  Unnecessary antifungal drug use has been noted in several scenarios common in the ICU including:
    • Treatment of Candida colonization in the urine
    • Treatment of Candida isolated in the sputum, which is often not true infection
  • Review cases of antifungal use to see if treatment is appropriate per national or institutional guidelines

 

Resources:

Core Recommendations for Antifungal Stewardship:  https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7403757/

IDSA Antifungal Treatment Guidelines: https://www.idsociety.org/practice-guideline/practice-guidelines/#/+/0/date_na_dt/desc/

Suggestions for Ongoing Monitoring:

For ongoing monitoring of this scenario, it makes sense to track the SAAR data specific for the ICU.  A quarterly interval should be adequate because particularly at the individual unit level, month to month variations may be difficult to interpret.  There are two easy ways to do this right within NHSN.

What you will need for data visualization for Table 3 and Figure 1:

  1. Access to NHSN AU data in the Analysis tab in NHSN

 

Table 3:  Antifungal SAARs for the Adult ICUs Displayed Quarterly

Table 3:  Antifungal SAARs for the Adult ICUs Displayed Quarterly

[Data Obtained From: NHSN-Analysis-Reports-Antimicrobial Use and Resistance Module- Antimicrobial Use Data-SAAR Report- All Adult and Ped SAARS by Location- modified under Display Options to select ‘summaryYQ’ and under Filters to add SAARType-2017 equal to Antifungal agents predominantly used for invasive candidiasis used in adult SAAR ICUs.].

Figure 1.  SAAR Plot for Antifungal SAARs in the Adult ICUs Displayed Quarterly

Figure 1.  SAAR Plot for Antifungal SAARs in the Adult ICUs Displayed Quarterly

[Data Obtained From: NHSN-Analysis-Reports-Antimicrobial Use and Resistance Module- Antimicrobial Use Data-SAAR Plot- All Adult and Pediatric SAARS (2017 Baseline)- modified under Display Options to select ‘summaryYQ’ in the Group By drop down and under Filters to add SAARType-2017 equal to Antifungal agents predominantly used for invasive candidiasis used in adult SAAR ICUs.].