Abstract
Background
Skin and soft tissue infections (SSTIs) disproportionately impact patients with human immunodeficiency virus (HIV). Recent declines in the incidence of SSTIs have been noted in the non-HIV population. We sought to study the epidemiology and microbiology of SSTIs in a population of 8597 patients followed for HIV primary care in a large, urban county system from January 2009 to December 2014.
Methods
SSTIs were identified from the electronic medical record by use of International Classification of Diseases-9 billing codes. Charts were reviewed to confirm each patient’s diagnosis of acute SSTI and abstract culture and susceptibility data. We calculated the yearly SSTI incidences using Poisson regression with clustering by patient.
Results
There were 2202 SSTIs identified. Of 503 (22.8%) cultured SSTIs, 332 (66.0%) recovered Staphylococcus aureus as a pathogen, of which 287/332 (86.4%) featured S. aureus as the sole isolated organism. Among the S. aureus isolates that exhibited antibiotic susceptibilities, 231/331 (69.8%) were methicillin resistant, and the proportion did not change by year. The observed incidence of SSTI was 78.0 per 1000 person-years (95% confidence interval 72.9–83.4) and declined from 96.0 infections per 1000 person-years in 2009 to 56.5 infections per 1000 person-years in 2014 (P < .001). Other significant predictors of SSTI incidences in both univariate as well as multivariate analyses included a low CD4 count, high viral load, and not being a Spanish-speaking Hispanic.
Conclusions
SSTIs remain a significant problem in the outpatients living with HIV, although rates of SSTIs appear to have declined by approximately 40% between 2009 and 2014.
Keywords: HIV, skin and soft tissue infection, MRSA, epidemiology
The incidence of skin and soft tissue infections (SSTIs) in people living with human immunodeficiency virus in a large, publicly funded health system declined 40% between 2009–2014, with Spanish-speaking Hispanics demonstrating a lower incidence of SSTIs throughout that period.
The emergence of community-associated methicillin-resistant Staphylococcus aureus (CA-MRSA) in the United States in the late 1990s and early 2000s [1], primarily caused by the emergence of a novel USA300 strain of MRSA [2], significantly changed the epidemiology of skin and soft tissue infections (SSTIs) [2]. The incidence of SSTIs in the United States doubled between 1997 and 2005 [3], with even larger increases in certain subpopulations, such as prisoners [4], men who have sex with men (MSM) [5], and African-Americans [6].
In the late 2000s, numerous studies demonstrated the disproportionate impact of CA-MRSA on patients with human immunodeficiency virus (HIV), even for those with normal CD4+ lymphocyte counts [7, 8]. Studies have suggested varying explanations for the increased CA-MRSA risk in patients with HIV. The epidemiologic factors proposed include sexual practices and sexual networks [9], incarceration [10], drug use [11], poverty, and housing. Key to epidemiologic theories is the idea that HIV and MRSA represent “intersecting epidemics” [7]. The biologic reasons proposed for the high rate of CA-MRSA SSTIs in patients with HIV include innate immune factors [12], as well as traditional markers of immunocompromise, such as CD4+ lymphocyte counts and HIV viral loads [13].
However, recent studies in non-HIV populations suggest a decline in the SSTI incidence [14], and the impact of CA-MRSA in the broader population may be waning, for reasons that currently remain unclear. At least 1 study in patients with HIV insured by an health maintenance organization showed a similar pattern [15]. However, the extent of the decline in SSTI incidences in patients with HIV in public health settings, and whether the epidemiology of SSTIs in this population has changed, remains unknown.
MRSA strains belonging to the USA300 MRSA lineages are traditionally identified by pulsed field gel electrophoresis. However, retrospective studies have frequently used sensitivity data, such as clindamycin susceptibility or fluoroquinolone susceptibility [16], as a marker for CA-MRSA. Nonetheless, increased use of clindamycin for SSTI [17] may, over time, lead to increased resistance in population strains. Accordingly, ongoing monitoring for resistance is warranted.
Hispanic ethnicity has been noted in other settings to convey a decreased risk of CA-MRSA in populations with HIV [18]. However, the term “Hispanic,” as used in the United States, describes immigrants from multiple countries in the Americas and the Caribbean and their descendants, as well as the inhabitants of or migrants from Puerto Rico, a territory of the United States. Migration patterns may vary greatly from city to city within the United States [19]. Furthermore, in Texas and the Southwestern United States, the term Hispanic may be applied to people whose families have lived in the United States for many generations [20] and who demonstrate a high degree of acculturation, defined as “the degree to which an individual from 1 culture adopts the behaviors or characteristics of a different ‘host’ culture” [21]. In addition, longitudinal data on trends in the SSTI incidence in Hispanic populations are lacking.
Here, we set out to study the incidence, epidemiology, and microbiology of SSTIs in a population of people living with HIV who were followed at a large, publicly funded health system in Houston, Texas, which is a setting with low rates of intravenous drug use [22]. Furthermore, we specifically sought to determine whether the epidemiology of SSTIs was different in English-speaking Hispanics and Spanish-speaking Hispanics, compared to non-Hispanic populations, with the hypothesis that English-speaking Hispanics would demonstrate an SSTI incidence similar to that of non-Hispanic populations.
METHODS
This study was a retrospective cohort study of patients with HIV who were treated in the Harris Health System—the public health system for Harris County, Texas—from 1 January 2009 to 31 December 2014. Harris County includes Houston, Texas, the fourth-largest municipality in the United States. Included in this health system are 2 affiliated urban teaching hospitals, as well as Thomas Street Health Center, a large outpatient HIV clinic.
Patients with HIV were identified via the electronic medical record (EMR) and were eligible for inclusion in this study if they were over age 18 and completed at least 2 visits to Thomas Street Health Center within a 12-month period during the period of the study.
Patient demographics (date of birth, sex, race/ethnicity), dates of clinic visits, and laboratory results (CD4+ lymphocyte count, HIV viral load) completed from 1 January 2008 to 31 December 2014 were electronically abstracted from the EMR. The patient’s language preference was abstracted from their EMR. SSTIs were identified by appropriate International Classification of Disease-9 codes in the EMR (Table 1). The diagnosis of acute SSTI was confirmed by an EMR review of clinician notes and prescription data. Postoperative infections and infections of prostheses or medical devices were excluded.
Table 1.
Diagnosis Codes Used to Identify Potential Skin and Soft Tissue Infections in This Study
| ICD-9/CPT Code | Description |
|---|---|
| 035 | Erysipelas |
| 373.13 | Abscess of eyelid |
| 607.2 | Other inflammatory disorders of penis |
| 608.4 | Other inflammatory disorders of male genital organs |
| 611.0 | Inflammatory disease of breast |
| 616.4 | Other abscess of vulva |
| 675.0 | Infections of nipple associated with childbirth |
| 675.1 | Abscess of breast associated with childbirth |
| 675.2 | Nonpurulent mastitis associated with childbirth |
| 680 | Carbuncle and furuncle |
| 681 | Cellulitis and abscess of finger and toe |
| 682 | Other cellulitis and abscess |
| 683 | Acute lymphadenitis |
| 684 | Impetigo |
| 685.0 | Pilonidal cyst with abscess |
| 686 | Other local infections of skin and subcutaneous tissue |
| 704.8 | Other specified diseases of hair and hair follicles |
| 707 | Chronic ulcer of skin |
| 705.83 | Hidradenitis |
| 728.0 | Infective myositis |
| 771.5 | Neonatal infective mastitis |
| 10060 | Incision and drainage of abscess: simple or single |
| 10061 | Incision and drainage of abscess: complicated or multiple |
| 10080 | Incision and drainage of pilonidal cyst: simple |
| 10081 | Incision and drainage of pilonidal cyst: complicated |
| 10140 | Incision and drainage of hematoma, seroma, or fluid collection |
| 10160 | Puncture aspiration of abscess, hematoma, bulla, or cyst |
Abbreviation: CPT, Current Procedural Terminology; ICD-9, International Classification of Diseases-9.
Standard statistics (counts, proportions, averages) were calculated. Incidences and incidence rate ratios (IRRs) were calculated using Poisson regression models with clustering by patient [23]. This is equivalent to the use of a generalized estimating equation approach with log link function, independent correlation structure, and robust variance. CD4+ lymphocyte count, HIV viral load, and age were treated as time-varying variables. CD4+ lymphocyte count and HIV viral load were interpolated using a “carry forward” approach between measured values. Patients were deemed to be out of care and to not contribute follow-up time if over 12 months elapsed between visits, consistent with other work in populations that intermittently access care [24]. Stata 12.0 IC (Statacorp, College Station, TX) was used for all analyses.
The institutional review boards of Baylor College of Medicine and the University of Texas Health McGovern School of Medicine approved the study. The requirement for informed consent was waived for this retrospective study.
RESULTS
In total, 8597 patients met the criteria for study inclusion and contributed follow-up time to the study. Their demographics are presented in Table 2. Of note, the population was predominantly male (68.2%), with approximately equal proportions being heterosexual and MSM. Over 85% of patients were racial or ethnic minorities. The median age at initiation of follow-up was 42.7 years (range 18–84). The number of unique patients visiting the clinic per year increased from 4426 to 5512 from 2009 to 2014, while the number of patient visits with HIV care providers decreased from 16 107 to 14 528 (Table 3), a 28% decrease in visits per patient per year.
Table 2.
Demographics of the Study Population
| Factor | Number of Patients (N = 8597) |
|---|---|
| Gender | |
| Female | 2730 (31.8%) |
| Male | 5867 (68.2%) |
| Race/ethnicity | |
| Non-Hispanic White/Asian/other | 1197 (13.9%) |
| Non-Hispanic African American | 5229 (60.8%) |
| English-speaking Hispanic | 989 (11.5%) |
| Spanish-speaking Hispanic | 1178 (13.7%) |
| MSM status | |
| Yes | 2858 (33.2%) |
| No | 5739 (66.8%) |
| Initial Age | |
| <25 | 639 (7.4%) |
| 25–34 | 1852 (21.5%) |
| 35–44 | 2480 (28.8%) |
| 45–54 | 2604 (30.3%) |
| 55–64 | 877 (10.2%) |
| 65+ | 145 (1.7%) |
Abbreviation: MSM, men who have sex with men.
Table 3.
Number of Unique Patients and Patient Visits and Community Viral Load per Year of the Study
| Year | Unique Patients | Total Visits | Proportion of Patient-days With Viral Load Under 1000 Copies/mL |
|---|---|---|---|
| 2009 | 4426 | 16 107 | 74.8% |
| 2010 | 4924 | 16 129 | 80.3% |
| 2011 | 5140 | 15 587 | 83.5% |
| 2012 | 5248 | 14 931 | 84.9% |
| 2013 | 5426 | 14 357 | 86.1% |
| 2014 | 5512 | 14 528 | 87.0% |
We observed that 1136 of 8597 subjects had at least 1 SSTI in follow-up (13.2%). The observed incidence of SSTI was 78.0 per 1000 person-years (95% confidence interval [CI] 72.9–83.4), with a decline from 96.0 per 1000 person-years in 2009 to 56.5 per 1000 person years in 2014 (P < .001; Figure 2).
Figure 2.
Yearly SSTI (top line) and MRSA incidence (bottom line) with 95% confidence intervals, 2009–2014, total population. Abbreviations: MRSA, methicillin-resistant Staphylococcus aureus; SSTI, skin and soft tissue infection.
Of the 2202 SSTIs identified, 503 (22.8%) were associated with culture data (Figure 1). Of cultured SSTIs, 332 (66.0 %) included S. aureus as at least 1 of the pathogens, of which 287 out of the 332 (86.4%) featured S. aureus as the sole organism recovered. Of S. aureus isolates with susceptibilities, 231/331 (69.8%) were methicillin resistant, and the proportion did not vary by year (Table 4). The observed incidence of MRSA-positive SSTIs was 7.1 per 1000 person-years (95% CI 5.9–8.5), with a decline from 11.0 per 1000 person-years in 2009 to 4.7 per 1000 person-years in 2014 (P < .01; Figure 1).
Figure 1.
Breakdown of culture availability and results for 2202 SSTIs in this paper. Abbreviations: MRSA, methicillin-resistant Staphylococcus aureus; MSSA, methicillin-sensitive Staphylococcus aureus; S. aureus, Staphylococcus aureus; SSTI, skin and soft tissue infection. a287 (86.5%) S. aureus monomicrobial infections.
Table 4.
Number of Methicillin-resistant and -Susceptible Staphylococcus aureus Infections in Each Year of the Study
| Year | MRSA | MSSA |
|---|---|---|
| 2009 | 40 (76.9%) | 12 (23.1%) |
| 2010 | 55 (66.3%) | 28 (33.7%) |
| 2011 | 37 (66.1%) | 19 (33.9%) |
| 2012 | 36 (73.5%) | 13 (26.5%) |
| 2013 | 33 (76.7%) | 10 (23.3%) |
| 2014 | 30 (62.5%) | 18 (37.5%) |
Abbreviations: MRSA, methicillin-resistant Staphylococcus aureus; MSSA, methicillin-susceptible Staphylococcus aureus.
Clindamycin susceptibilities (including the D test, when indicated) [25] were available for 256 of 332 S. aureus isolates (77.1%), and were available for 174 of 231 MRSA isolates (75.3%). A total of 145 out of 256 (56.6%) of all S. aureus isolates were susceptible to clindamycin. Among MRSA isolates, 93 out of 174 (54%) exhibited susceptibility to clindamycin. Of the remaining 81 MRSA isolates, 80 showed clindamycin resistance. Fluoroquinolone susceptibilities were available for 70 of these MRSA isolates, with 12/70 (17.1%) susceptible and 23/70 (32.9%) reported as intermediate.
The results of univariate and multivariate Poisson regressions are presented in Table 5. The multivariate model excluded gender and MSM status, as they were not significant in a univariate analysis (P > .10). Even in the multivariate model, the incidence of SSTI was significantly lower in 2014, compared to 2009 (adjusted IRR [aIRR] 0.66, 95% CI 0.55–0.80; P < .001).
Table 5.
Predictors of Skin and Soft Tissue Infections in Univariate and Multivariate Poisson Regression Models With Clustering by Patient
| Factor | Univariate IRR (95% CI) | Multivariate IRR (95% CI) |
|---|---|---|
| Race/ethnicity | ||
| Non-Hispanic White/Asian/Other | Ref | Ref |
| Non-Hispanic African American | 0.92 (.76–1.11) | 0.84 (.69–1.01) |
| English-speaking Hispanic | 0.88 (.69–1.12) | 0.83 (.65–1.06) |
| Spanish-speaking Hispanic | 0.46a (.36–.60) | 0.44a (.34–.57) |
| CD4+ count (cells/mm3) | ||
| 100+ | Ref | Ref |
| 50–100 | 1.56b (1.19–2.04) | 1.21 (.92–1.60) |
| <50 | 2.28a (1.80–2.90) | 1.45b (1.13–1.87) |
| Viral load (copies/mL) | ||
| <1000 | Ref | Ref |
| 1000+ | 2.17a (1.91–2.46) | 1.79a (1.56–2.06) |
| Male gender | 1.06 (.92–1.22) | … |
| Men who have sex with men | 1.09 (.95–1.25) | … |
| Year | ||
| 2009 | Ref | Ref |
| 2010 | 0.89 (.75–1.06) | 0.92 (.78–1.10) |
| 2011 | 0.90 (.75–1.07) | 0.97 (.81–1.15) |
| 2012 | 0.91 (.76–1.09) | 1.00 (.84–1.20) |
| 2013 | 0.71a (.58–.85) | 0.78c (.65–.95) |
| 2014 | 0.59a (.49–.71) | 0.66a (.55–.80) |
| Age | ||
| <25 | Ref | Ref |
| 25–34 | 0.88 (.64–1.22) | 0.99 (.71–1.37) |
| 35–44 | 0.85 (.61–1.17) | 0.98 (.71–1.36) |
| 45–54 | 0.69c (.50–.95) | 0.80 (.58–1.10) |
| 55–64 | 0.55b (.40–.78) | 0.67c (.48–.95) |
| 65+ | 0.25a (.15–.43) | 0.33a (.19–.55) |
Abbreviations: CI, confidence interval; IRR, incidence rate ratio; Ref, reference category.
a P < .001.
b P < .01.
c P < .05.
Compared with the reference group of non-Hispanic White/Asian/other patients, African-Americans and English-speaking Hispanics exhibited similar incidences of SSTIs in both unadjusted and adjusted analyses. However, the incidence of SSTI in Spanish-speaking Hispanics was less than half that of the reference population (unadjusted IRR 0.46, 95% CI 0.36–0.60; P < .001), a finding that remained significant in the adjusted model (aIRR 0.44, 95% CI 0.34–0.57; P < .001). A CD4+ lymphocyte count under 50 cells/mm3 and an HIV viral load over 1000 copies/mL were, as expected, factors that were highly associated with each other; both were independent predictors of an increased SSTI risk in the multivariate model. An increased age was associated with a decreased risk of SSTI, with those aged 65 and older demonstrating a risk that was a fraction of that seen in patients under age 25 (IRR 0.25, 95% CI 0.15–0.43; P < .001), a finding which remained significant in the multivariate analysis (aIRR 0.33, 95% CI 0.19–0.55; P < .001).
In a further exploratory analysis, we did not see evidence that the decline in the incidence in SSTI was more or less pronounced in specific subgroups—defined by gender, age, race/ethnicity/language status, CD4+ lymphocyte count, or HIV viral load—either statistically, via an interaction analysis (data not shown), or graphically (Figure 3).
Figure 3.
Yearly SSTI incidence with 95% confidence intervals, 2009–2014, subpopulations. A, Sex. B, Race/ethnicity/language. C, Age. D, CD4+ lymphocyte count. E, Human immunodeficiency virus RNA. Abbreviations: MSM, men who have sex with men; SSTI, skin and soft tissue infection.
DISCUSSION
In this study of a large cohort of patients living with HIV in a publicly funded health system, the incidence of medically attended SSTI markedly declined from 2009 to 2014, even after adjusting for improvements in CD4 counts and HIV viral loads. Nevertheless, the incidence of SSTIs in this population remains markedly elevated compared with HIV-negative populations, despite some suggestions—based on data in other cities—that the MRSA epidemic in persons living with HIV might have waned by the end point of this study [8].
Our findings regarding the association between age and SSTI risk reflect findings in other studies of patients with HIV [15], and may be explained by younger people being at a higher risk for person-to-person transmission, whether through contact sports, sexual contact, or incarceration. Similarly, our finding regarding the importance of the HIV viral load in determining the SSTI risk replicates observations from other cohorts [26]. Our observed association between a low CD4+ count and the SSTI risk has been previously described in some [27], but not all [26], studies that have examined this relationship, though adjustment, or lack thereof, for trimethoprim-sulfamethoxazole prophylaxis may explain some of the study-to-study variation [28]. The association between immunologic parameters and SSTI risk may reflect a direct relationship between immunocompromise and SSTI risk, lack of adherence to antibiotic prophylaxis [28], or an association between advanced HIV and dermatologic conditions associated with SSTI risk, such as psoriasis [18].
Spanish-speaking Hispanics demonstrated a lower incidence of SSTIs than other populations in both unadjusted and adjusted analyses, while English-speaking Hispanics showed an incidence of SSTIs comparable to other populations. We believe our study is the first to specifically look at the interaction between language preferences and SSTI risks in patients living with HIV. A potential explanation of this difference could include social network effects. The structure of social networks has been associated with the transmission dynamics of pathogenic strains of S. aureus [29]. Some data may suggest that Hispanic immigrants have social networks that differ in structure from the rest of the population [30], with differences found in Chicago between Hispanic immigrants and US-born Hispanics [31]. Cultural differences and the language barrier itself may both serve to limit connections between the social network of those Hispanic immigrants who predominantly speak Spanish and the broader population, reducing opportunities for CA-MRSA to be transmitted in this population.
Our findings may also be explained by Spanish-speaking Hispanics using less health care or outside health care for SSTIs. Although patients in our study had a clinic at which they could access care, a study in another Southern United States city found that geographic and transportation barriers were a significant contributor to decreased healthcare use among Hispanic immigrants [32]. Further, studies within Thomas Street itself have found that transportation is a significant barrier to accessing care [33]. Hispanics in general are lower users of emergency services in Harris County [34]. National data suggest that more-acculturated Hispanics have been described as more likely to use emergency services [21] than less-acculturated Hispanics. Moreover, studies in multiple settings have found that Hispanic immigrants in the United States frequently obtain antibiotics without a prescription or without seeing a physician [35], either from leftover antibiotics from previous prescriptions, from friends, or from local ethnic stores (tiendas). Accordingly, the decreased incidence of SSTIs observed in Hispanics in other studies, and of Spanish-speaking Hispanics in this study, may be artefactual and reflect self-treatment of SSTIs outside of healthcare settings. That said, a study in Houston (conducted, in part, in the same healthcare system as our study) found that the use of unprescribed antibiotics was common in all populations described [36]. The observed nonprescription use within the prior year was 7.7% in Hispanics, 3.8% in African-Americans, and 2.6% in other populations. No specific analysis of English-speaking Hispanics and Spanish-speaking Hispanics was performed.
The reasons for the decline in the SSTI risk in this population over the course of the study are unclear, though these patients are part of a nationwide pattern that has been observed in patients with HIV, as well as in the general population [14]. The reasons for this nationwide trend are themselves unknown. The marked increase in the SSTI incidence seen in the early 2000s may have reflected the emergence of a novel S. aureus strain, USA300, in an immunologically naive population, and the subsequent decreases in the SSTI incidence that have been observed may relate to changes in the host-pathogen relationship over time [37]. The role of individual- and population-level immunities in determining the emergence and decline of new S. aureus strains in the general population, as well as in specific subpopulations, remains to be elucidated.
The high level of clindamycin resistance in this study is notable. That most of these strains were either fluoroquinolone-intermediate or -resistant suggests that many of the patients in our study may have been developing SSTIs with strains other than USA300, either from other hospital strains or other community strains, although the emergence of clindamycin resistance in USA300 cannot be ruled out. We do not have detailed data on hospitalizations in this study. However, other studies have found hospitalization to be a common event in patients in HIV at risk for SSTIs [26].
Strengths of this study include the large, diverse, urban cohort that was studied, the validation of SSTI diagnoses by EMR reviews, the longitudinal nature of the data itself and the statistical analysis, and the merger of billing data with microbiologic data. Limitations include its retrospective nature in a single health system. We did not capture SSTIs for which patients did not seek care or sought care at other institutions. The number of visits per patient decreased over the course of the study, suggesting that the number of incidentally detected SSTIs may have decreased as well. We depended on clinician diagnoses and billing for the study and may have missed SSTIs if they were not billed for. However, as the EMR requires a diagnosis for an antibiotic prescription and for procedures, we do believe we captured most of the SSTIs associated with either antibiotic prescriptions or with incisions and drainage. Although the positive predictive value of International Classification of Disease–based ascertainment methods for SSTIs has been studied [38], the sensitivity remains unknown. However, our methods are consistent with prior studies on the topic [14]. We do not have genotype data for S. aureus isolates. We lack data on trimethoprim-sulfamethoxazole (TMP-SMX) adherence and usage, but previous internal audit data have shown that over 95% of patients who qualify for a TMP-SMX prophylaxis at our center are, in fact, prescribed the drug. Our patient population has a high rate of loss to follow-up and intermittent use of care, but this is common in studies of many HIV populations using public health systems [39]. The transgender status of patients was not documented, and there was inconsistent documentation of gender for transgender patients at the time of the study, though the overall number of transgender patients followed at Thomas Street Health Center at the time of the study was low. We were dependent on EMR reporting for data on race, ethnicity, and language status. The use of the EMR for language status, in particular, is problematic, as these data are collected by front-line clinic staff as part of “meaningful use” requirements. Only 1 language can be selected, ignoring the complex spectrum of multilingualism. However, given that the use of the “Language” tab in the EMR was to identify patients in need of Spanish-speaking providers or translational assistance, we believe that patients who preferred Spanish but were bilingual were mostly identified as having an “English” language preference. An earlier study conducted in a different health system showed that 1 of 3 patients recorded as “Spanish-speaking” in the EMR opted to complete an offered survey in English even though a Spanish version was readily available; similarly, a substantial proportion of patients who opted to complete the survey in Spanish were listed in the EMR as “English-speaking” [40]. However, misclassifications would have biased our findings towards the null hypothesis. The degree of acculturation was not assessed in this retrospective study. Our EMR was newly phased-in for inpatient and emergency room settings at the beginning of the study. While we believe our findings are real, we cannot exclude the EMR implementation affecting some of our results. Finally, the data are from an area with a low and stable prevalence of injection drug use in people with HIV, so may not be generalizable to areas with increasing rates.
CONCLUSION
Although SSTI rates in a large, urban cohort of outpatients living with HIV declined by approximately 40% between 2009 and 2014, SSTIs remained a significant problem even at the end of the study period. A CD4+ count under 50 cells/mm3 and an elevated HIV viral load were associated with an increased SSTI risk, while older age and Spanish-speaking Hispanic ethnicity were protective. The majority of S. aureus SSTIs throughout the study period were methicillin-resistant, and there were no signs of methicillin-susceptible Staphylococcus aureusreplacing MRSA in this population. Although MRSA is a less salient issue in patients with HIV than it was in the past, SSTIs remain a significant problem in patients with HIV, for reasons which merit further study.
Notes
Acknowledgments. The authors thank Harris Health System, especially the Information Technology team of Sara Ruppelt, PharmD, and Jack Rubin, MHA. They thank Michael David, MD, PhD, MHS, and Sheldon Kaplan, MD, for valuable comments on the study design. They thank Daniel Smith, MD, for aid with the protocol.
Financial support. C. A. A. is funded by the National Institutes of Health (NIH)/National Institute of Allergy and Infectious Diseases (grant numbers K24-AI121296, R01AI134637, and R21AI143229) and the University of Texas Science and Technology Acquisition and Retention Award.
Potential conflicts of interest. C. A. A. has received grant support from Merck & Co. Inc., MeMed Diagnostics, and Entasis Therapeutics; received funding from the University of Texas Health Science Center, during the study; and has received payments from UptoDate, Harrison Principles of Internal Medicine, Mandell Principles and Practice of Infectious Diseases, NIH/National Institute of Allergy and Infectious Diseases, the Infectious Diseases Society of America, and the American Society for Microbiology, outside the submitted work. S. P. reports partial salary support from the Gilead Human Immunodeficiency Virus Focus Program, Texas Department of State Health Services, and the Centers for Disease Control and Prevention, during the conduct of the study. All other authors report no potential conflicts. All authors have submitted the ICMJE Form for Disclosure of Potential Conflicts of Interest. Conflicts that the editors consider relevant to the content of the manuscript have been disclosed.
Presented in part: IDweek, San Francisco, 3–7 October 2018. Abstract number 934.
References
- 1. Herold BC, Immergluck LC, Maranan MC, et al. Community-acquired methicillin-resistant Staphylococcus aureus in children with no identified predisposing risk. JAMA 1998; 279:593–8. [DOI] [PubMed] [Google Scholar]
- 2. David MZ, Daum RS. Community-associated methicillin-resistant Staphylococcus aureus: epidemiology and clinical consequences of an emerging epidemic. Clin Microbiol Rev 2010; 23:616–87. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3. Hersh AL, Chambers HF, Maselli JH, Gonzales R. National trends in ambulatory visits and antibiotic prescribing for skin and soft-tissue infections. Arch Intern Med 2008; 168:1585–91. [DOI] [PubMed] [Google Scholar]
- 4. Malcolm B. The rise of methicillin-resistant Staphylococcus aureus in U.S. correctional populations. J Correct Health Care 2011; 17:254–65. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5. Diep BA, Chambers HF, Graber CJ, et al. Emergence of multidrug-resistant, community-associated, methicillin-resistant Staphylococcus aureus clone USA300 in men who have sex with men. Ann Intern Med 2008; 148:249–57. [DOI] [PubMed] [Google Scholar]
- 6. Hota B, Ellenbogen C, Hayden MK, Aroutcheva A, Rice TW, Weinstein RA. Community-associated methicillin-resistant Staphylococcus aureus skin and soft tissue infections at a public hospital: do public housing and incarceration amplify transmission? Arch Intern Med 2007; 167:1026–33. [DOI] [PubMed] [Google Scholar]
- 7. Popovich KJ, Weinstein RA, Aroutcheva A, Rice T, Hota B. Community-associated methicillin-resistant Staphylococcus aureus and HIV: intersecting epidemics. Clin Infect Dis 2010; 50:979–87. [DOI] [PubMed] [Google Scholar]
- 8. Hidron AI, Moanna A, Rimland D. The rise and fall of methicillin-resistant Staphylococcus aureus infections in HIV patients. AIDS 2011; 25:1001–3. [DOI] [PubMed] [Google Scholar]
- 9. Crum-Cianflone NF, Shadyab AH, Weintrob A, et al. ; Infectious Disease Clinical Research Program Human Immunodeficiency Virus Working Group Association of methicillin-resistant Staphylococcus aureus (MRSA) colonization with high-risk sexual behaviors in persons infected with human immunodeficiency virus (HIV). Medicine (Baltimore) 2011; 90:379–89. [DOI] [PubMed] [Google Scholar]
- 10. Popovich KJ, Zawitz C, Weinstein RA, Grasso AE, Hotton AL, Hota B. The intersecting epidemics of human immunodeficiency virus, community-associated methicillin-resistant Staphylococcus aureus, and incarceration. Open Forum Infect Dis 2015; 2:ofv148. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11. Crum-Cianflone NF, Wang X, Weintrob A, et al. Specific behaviors predict Staphylococcus aureus colonization and skin and soft tissue infections among human immunodeficiency virus-infected persons. Open Forum Infect Dis 2015; 2:ofv034. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12. Utay NS, Roque A, Timmer JK, et al. MRSA infections in HIV-infected people are associated with decreased MRSA-specific Th1 immunity. PLOS Pathog 2016; 12:e1005580. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13. Crum-Cianflone NF, Grandits G, Weintrob A, Ganesan A, Agan B, Landrum M. Skin and soft tissue infections among HIV-infected persons in the late combination antiretroviral therapy era. Int J STD AIDS 2012; 23:507–11. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14. Morgan E, Hohmann S, Ridgeway J, Daum R, David MZ. Decreasing incidence of skin and soft tissue infections at 86 U.S. emergency departments, 2009–2014. Clin Infect Dis 2019; 68:453–9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15. Delorenze GN, Horberg MA, Silverberg MJ, Tsai A, Quesenberry CP, Baxter R. Trends in annual incidence of methicillin-resistant Staphylococcus aureus (MRSA) infection in HIV-infected and HIV-uninfected patients. Epidemiol Infect 2013; 141:2392–402. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16. Popovich K, Hota B, Rice T, Aroutcheva A, Weinstein RA. Phenotypic prediction rule for community-associated methicillin-resistant Staphylococcus aureus. J Clin Microbiol 2007; 45:2293–5. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17. Miller LG, Daum RS, Creech CB, et al. ; Division of Microbiology and Infectious Diseases 07-0051 Team Clindamycin versus trimethoprim-sulfamethoxazole for uncomplicated skin infections. N Engl J Med 2015; 372:1093–103. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18. Popovich KJ, Hota B, Aroutcheva A, et al. Community-associated methicillin-resistant Staphylococcus aureus colonization burden in HIV-infected patients. Clin Infect Dis 2013; 56:1067–74. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19. Alarcón RD, Parekh A, Wainberg ML, Duarte CS, Araya R, Oquendo MA. Hispanic immigrants in the USA: social and mental health perspectives. Lancet Psychiatry 2016; 3:860–70. [DOI] [PubMed] [Google Scholar]
- 20. Hwang S-S, Murdock SH. Ethnic enclosure or ethnic competition: ethnic identification among Hispanics in Texas. Sociol Q 1991; 32:469–76. [Google Scholar]
- 21. Allen L, Cummings J. Emergency department use among Hispanic adults: the role of acculturation. Med Care 2016; 54:449–56. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22. Hemmige V, Flash CA, Carter J, Giordano TP, Zerai T. Single tablet HIV regimens facilitate virologic suppression and retention in care among treatment naïve patients. AIDS Care 2018; 30:1017–24. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23. Yelland LN, Salter AB, Ryan P. Performance of the modified Poisson regression approach for estimating relative risks from clustered prospective data. Am J Epidemiol 2011; 174:984–92. [DOI] [PubMed] [Google Scholar]
- 24. Anderson JP, Tchetgen Tchetgen EJ, Lo Re V 3rd, et al. Antiretroviral therapy reduces the rate of hepatic decompensation among HIV- and hepatitis C virus-coinfected veterans. Clin Infect Dis 2014; 58:719–27. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25. Steward CD, Raney PM, Morrell AK, et al. Testing for induction of clindamycin resistance in erythromycin-resistant isolates of Staphylococcus aureus. J Clin Microbiol 2005; 43:1716–21. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26. Hemmige V, McNulty M, Silverman E, David MZ. Predictors of skin and soft tissue infections in HIV-infected outpatients in the community-associated methicillin-resistant Staphylococcus aureus era. Eur J Clin Microbiol Infect Dis 2015; 34:339–47. [DOI] [PubMed] [Google Scholar]
- 27. Mathews WC, Caperna JC, Barber RE, et al. Incidence of and risk factors for clinically significant methicillin-resistant Staphylococcus aureus infection in a cohort of HIV-infected adults. J Acquir Immune Defic Syndr (1999) 2005; 40:155–60. [DOI] [PubMed] [Google Scholar]
- 28. Hemmige V, Lauderdale DS, David MZ. The complex relationship between CD4 count, HIV viral load, trimethoprim-sulfamethoxazole prophylaxis, and skin-and-soft-tissue infection risk in patients with HIV: insights from a causal diagram and simulation study. Epidemiol Infect 2016; 144:2889–98. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29. Quagliarello B, Cespedes C, Miller M, et al. Strains of Staphylococcus aureus obtained from drug-use networks are closely linked. Clin Infect Dis 2002; 35:671–7. [DOI] [PubMed] [Google Scholar]
- 30. Hurtado-de-Mendoza A, Gonzales FA, Serrano A, Kaltman S. Social isolation and perceived barriers to establishing social networks among Latina immigrants. Am J Community Psychol 2014; 53:73–82. [DOI] [PubMed] [Google Scholar]
- 31. Viruell-Fuentes EA, Morenoff JD, Williams DR, House JS. Contextualizing nativity status, Latino social ties, and ethnic enclaves: an examination of the ‘immigrant social ties hypothesis.’ Ethn Health 2013; 18:586–609. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32. Edward J, Biddle DJ. Using geographic information systems (GIS) to examine barriers to healthcare access for Hispanic and Latino immigrants in the U.S. south. J Racial Ethn Health Disparities 2017; 4:297–307. [DOI] [PubMed] [Google Scholar]
- 33. Fletcher FE, Buchberg M, Schover LR, et al. Perceptions of barriers and facilitators to cervical cancer screening among low-income, HIV-infected women from an integrated HIV clinic. AIDS Care 2014; 26:1229–35. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34. Begley CE, Behan P, Seo M. Who uses hospital emergency rooms?: Evidence from Houston/Harris County Texas. J Health Care Poor Underserved 2010; 21:606–16. [DOI] [PubMed] [Google Scholar]
- 35. Mainous AG 3rd, Diaz VA, Carnemolla M. Factors affecting Latino adults’ use of antibiotics for self-medication. J Am Board Fam Med 2008; 21:128–34. [DOI] [PubMed] [Google Scholar]
- 36. Zoorob R, Grigoryan L, Nash S, Trautner BW. Nonprescription antimicrobial use in a primary care population in the United States. Antimicrob Agents Chemother 2016; 60:5527–32. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37. Planet PJ. Life after USA300: the rise and fall of a superbug. J Infect Dis 2017; 215:71–7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38. Levine PJ, Elman MR, Kullar R, et al. Use of electronic health record data to identify skin and soft tissue infections in primary care settings: a validation study. BMC Infect Dis 2013; 13:171. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39. Giordano TP, Gifford AL, White AC Jr, et al. Retention in care: a challenge to survival with HIV infection. Clin Infect Dis 2007; 44:1493–9. [DOI] [PubMed] [Google Scholar]
- 40. Klinger EV, Carlini SV, Gonzalez I, et al. Accuracy of race, ethnicity, and language preference in an electronic health record. J Gen Intern Med 2015; 30:719–23. [DOI] [PMC free article] [PubMed] [Google Scholar]



