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. 2021 Dec 23;4(12):e2140798. doi: 10.1001/jamanetworkopen.2021.40798

Variation by Race in Antibiotics Prescribed for Hospitalized Patients With Skin and Soft Tissue Infections

Alysse G Wurcel 1,2,, Utibe R Essien 3, Christina Ortiz 2, Xiaoqing Fu 4, Christian Mancini 4, Yuqing Zhang 4,5, Kimberly G Blumenthal 4,5
PMCID: PMC8703249  PMID: 34940871

Abstract

This cohort study examines antibiotics prescribed and variations by race among hospitalized patients with skin and soft tissue infections (SSTIs).

Introduction

Antibiotic prescriptions for skin and soft tissue infection (SSTI) are increasing.1 SSTI treatment guidelines consider a β-lactam, such as cefazolin, as first-line therapy to target Staphylococcus aureus and Streptococcus species; alternative SSTI treatments, such as clindamycin, are inferior.2 Racial differences in treatment exist for several medical conditions. However, little is known about disparities in SSTI treatment.3 We hypothesized that racial differences in the management of SSTI exist.

Methods

This cohort study conducted a subanalysis of multisite, cross-sectional data collected through a national survey of Acute Care Hospital Groups within Vizient Inc (October 16, 2018, to January 13, 2019) (eMethods in the Supplement), considering adult inpatients treated for SSTI. The indicator of interest was race determined from electronic health record and categorized as Asian, Black, American Indian or Alaska Native, White, or other (which also included those who declined). The outcome was antibiotic use. Mass General Brigham and Tufts institutional review boards reviewed the study and determined it exempt from review and the requirement for informed consent because it was not human participant research. This study followed the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) reporting guideline. Because the number of individuals identified as Asian (n = 13), American Indian or Alaska Native (n = 5), and other races (n = 146) was small, we only compared the antibiotic use between Black (the referent group) and White individuals. To account for clustering by hospital, we used generalized estimating equations to obtain unadjusted and adjusted odds ratios (aOR) with 95% CI. All P values were 2-sided, and P ≤ .05 was considered statistically significant. Statistical analysis was performed with SAS software version 9.4 (SAS Institute) in September 2021.

Results

Of 1242 adult inpatients treated for SSTI from 91 US hospitals, 494 (45%) were female, 224 (18%) were Black, and 854 (69%) were White; the mean (SD) age was 58 (17) years (Table 1). History of penicillin allergy (23% [n = 48] with hives, 19% [n = 38] with rash, 18% [n = 36] with unknown) was more frequent in Black inpatients (23% [n = 52]) vs White inpatients (18% [n = 153]). Piperacillin-tazobactam and vancomycin were most prescribed and did not differ by race. Cefazolin was more commonly used in White inpatients than in Black inpatients (13% [n = 114] vs 5% [n = 11]); clindamycin was more frequently used in Black inpatients than in White inpatients (12% [n = 27] vs 7% [n = 62]) (Table 2). Adjusting for multiple factors, White inpatients were at an increased risk of cefazolin use (aOR, 2.82 [95% CI, 1.41-5.63]) and decreased risk of clindamycin use (aOR, 0.54 [95% CI, 0.30-0.96]) compared with Black inpatients.

Table 1. Characteristics of White and Black Adult Inpatients With SSTI at Acute Care Hospitals.

Characteristic Inpatients, No. (%)
White (n = 854) Black (n = 224)
Age, mean (SD), y 60 (17) 56 (17)
Sex
Female 390 (46) 104 (46)
Male 464 (54) 120 (54)
Inpatient location
General medical floor 406 (48) 127 (57)
General surgery floor 179 (21) 47 (21)
Adult intensive care unit 57 (7) 9 (4)
Cardiology/telemetry 48 (6) 16 (7)
Oncology 31 (4) 4 (2)
Other 133 (16) 21 (9)
Kidney disease 156 (18) 54 (24)
Diabetes 311 (36) 100 (45)
MRSA colonization/infection 141 (17) 35 (16)
VRE colonization/infection 29 (3) 5 (2)
Allergy to penicillins 153 (18) 52 (23)
Allergy to cephalosporins 62 (7) 7 (3)
Hospital day, median (IQR) 5 (2-8) 5 (2-9)

Abbreviations: MRSA, methicillin-resistant Staphylococcus aureus; SSTI, skin and soft tissue infection; VRE, vancomycin-resistant Enterococcus.

Table 2. Antibiotic Use Among Patients With Cellulitis/Skin or Soft Tissue Infection at Acute Care Hospitals by Racea.

White (n = 854) Black (n = 224) P value, univariable Unadjusted, OR (95% CI)b Adjusted OR (95% CI)b P valuec
β-lactams
Piperacillin-tazobactam 132 (15) 32 (14) .66 1.10 (0.67-1.79) 1.10 (0.65-1.87) .72
Cefazolind 114 (13) 11 (5) <.001 2.98 (1.49-5.97) 2.82 (1.41-5.63) .003
Cefepime 104 (12) 29 (13) .76 0.93 (0.60-1.44) 0.98 (0.61-1.58) .94
Penicillinse 89 (10) 21 (9) .65 1.12 (0.68-1.87) 0.98 (0.58-1.66) .93
Ceftriaxone 76 (9) 20 (9) .99 1.00 (0.59-1.70) 0.95 (0.56-1.61) .84
Cephalexin 45 (5) 9 (4) .44 1.33 (0.73-2.43) 1.29 (0.68-2.44) .44
Carbapenemsf 45 (5) 17 (8) .18 0.68 (0.37-1.24) 0.73 (0.40-1.33) .30
β-lactam alternatives
Vancomycin 305 (36) 66 (29) .080 1.33 (0.97-1.82) 1.26 (0.90-1.77) .18
Clindamycing 62 (7) 27 (12) .020 0.57 (0.34-0.97) 0.54 (0.30-0.96) .04
Tetracyclinesh 55 (6) 12 (5) .55 1.22 (0.57-2.61) 1.20 (0.55-2.59) .65
Fluoroquinolonesi 49 (6) 19 (8) .13 0.66 (0.40-1.08) 0.74 (0.44-1.24) .25

Abbreviation: OR, odds ratio.

a

Antibiotics used in less than 5% of the population are not shown. Patients could have been treated with more than 1 antibiotic.

b

OR (95% CI) compares antibiotic use in White inpatients with Black inpatients.

c

Adjusted for hospital day, penicillin allergy history, intensive care unit location, methicillin-resistant Staphylococcus aureus colonization/infection, kidney disease, and diabetes.

d

Cefazolin monotherapy was received by 91 White inpatients (11%) compared with 7 Black inpatients (3%) (unadjusted OR, 8.67 [95% CI, 2.70-27.8], P < .001).

e

Other than piperacillin-tazobactam.

f

Includes meropenem (n = 39), ertapenem (n = 19), and imipenem-cilastin (n = 4).

g

Clindamycin monotherapy was received by 35 White inpatients (4%) and 13 Black inpatients (6%) (unadjusted OR, 1.79 [95% CI, 0.63-5.10], P = .27).

h

Includes doxycycline (n = 61) and minocycline (n = 6).

i

Includes ciprofloxacin (n = 36), levofloxacin (n = 29), and moxifloxacin (n = 3).

Discussion

This study found that race was associated with differential management of SSTI. Black inpatients were less likely to receive cefazolin and more likely to receive clindamycin compared with White inpatients. Cefazolin is one of the first-line SSTI treatments. Clindamycin is not recommended given frequent dosing and high potential for adverse effects including Clostridioides difficile infection (CDI). Although prior studies of antibiotic choice for infections have revealed practice inconsistent with guidelines,4,5 racial differences have not been investigated.

Black race was associated with increased clindamycin use, even after controlling for methicillin-resistant Staphylococcus aureus (MRSA) colonization, infection and penicillin allergy. Although penicillin allergy is described as more prevalent in White patients,6 we observed an increased prevalence of penicillin allergy in Black inpatients compared with White inpatients treated for SSTI. Given that historical penicillin allergies are associated with increased clindamycin use and risk of CDI, but are often disproved with formal testing,6 racial disparities in penicillin allergy documentation and assessment requires additional study.

Although our data came from a large sample of hospitals, these data may not be nationally representative. Race was extracted from the medical record and may have been incorrectly assigned. Other race was not specified, and Hispanic ethnicity was not captured. Data on structural vulnerability such as income, employment, and education level, were not collected, limiting our evaluation of the impact of structural racism. Cross-sectional data did not permit determination of cumulative antibiotic utilization metrics.

We detected a potential racial disparity in antibiotic choice in this study. Future work should evaluate the determinants of this observed difference and devise interventions to achieve pharmacoequity.

Supplement.

eMethods

References

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Associated Data

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Supplementary Materials

Supplement.

eMethods


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