Genomic Epidemiology of Methicillin-Resistant ...

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Background Congregate settings such as urban jails may facilitate spread of MRSA 1,2 Jails may be a location where individuals already colonized with MRSA (from preceding exposures) intermingle with other individuals, potentially augmenting spread of MRSA Methods Study Setting: Cook County Jail in Chicago, IL which is one of the largest single-site jails in the US Males were enrolled within 72 hours of jail intake Surveillance cultures of the anterior nares, throat, and inguinal area were collected at entrance to the jail to determine the prevalence of MRSA colonization Surveillance cultures were repeated at Day 30 for those who remained incarcerated to determine the rate of MRSA acquisition during incarceration A survey was administered and chart review performed to identify predictors of MRSA acquisition Whole genome sequencing was performed with integration of epidemiologic data Genomic Epidemiology of Methicillin-Resistant Staphylococcus aureus (MRSA) DURING Incarceration at a Large Inner-City Jail Kyle J. Popovich, MD MS, FIDSA 1,2 , Evan S Snitkin, PhD 3 , Stefan J Green, PhD 4 , Alla Aroutcheva, MD PhD 1,2 , Michael Schoeny 1 , PhD, Darjai Payne, BS MPH 1 , Stephanie N Thiede, BS 3 , Chad Zawitz, MD 5 , Bala Hota MD MPH 1 , Mary K Hayden, MD 1 , Robert A Weinstein MD 1,2 1 Rush University Medical Center, Chicago, IL, 2 Cook County Health and Hospitals System, Chicago, IL, 3 University of Michigan Medical Center, Ann Arbor, MI, 4 University of Illinois at Chicago, Chicago, IL, 5 Cermak Health Services, Chicago, IL Contact Information: Kyle Popovich, MD, MS, FIDSA Rush University Medical Center 600 S. Paulina St. Suite 143 Chicago, IL 60612 T: 312-942-4451 [email protected] Conclusions There is a high burden of MRSA entering the jail (19% colonized at intake) Genomic analysis of acquisition, intake, and clinical isolates suggests spread of incoming strains and possible networks of spread of prevalent MRSA strains during incarceration Sharing of personal items during incarceration is associated with MRSA acquisition and could be a focus of an intervention Future study of epidemiologic and location data may inform targeting of infection control interventions within the jail Results 800 males enrolled (19% colonized with MRSA at intake) 12 MRSA acquisitions detected at Day 30 (Table) USA300 clinical isolates (mostly skin infections) may originate from transmission within the jail or perhaps be due to more virulent strains (Figure 1) Sequenced clinical USA300 isolates were more likely to be genetically similar to each other in comparison to intake USA300 MRSA strains (p<0.001) (Figure 2) 7/12 (58%) acquisition isolates were within 40 SNVs from another isolate that was sequenced (5 were similar to intake isolates and 2 were similar to clinical isolates) Acquisition strains from those sharing personal items (versus not) tended to have closer genetic relatedness (19 SNVs versus 56 SNVs, p=0.22) References 1. MRSA skin or soft tissue infections in a state prison--Mississippi, 2000. MMWR. 2001;50(42):919-22. 2. Miller LG, Diep BA. Clinical practice: colonization, fomites, and virulence: rethinking the pathogenesis of community-associated MRSA infection. Clin Infect Dis. 2008;46(5):752-60. ***See poster 1229 and oral presentation number 159 for additional abstracts from this project Objective To examine the rate of MRSA acquisition during incarceration To characterize the genomic epidemiology of MRSA strains entering the jail, MRSA acquisition isolates, and archived clinical MRSA isolates from male detainees 1247 Table. Epidemiologic Predictors of MRSA Acquisition During Incarceration Epidemiologic Factor MRSA Acquisition (n=12) No MRSA Acquisition (n=131) OR 95% CI P value Exposures prior to incarceration History of Benzodiazepine use 5 (42%) 27 (21%) 2.75 0.81, 9.35 0.11 Heroin use in the past year 5 (42%) 21 (16%) 3.67 1.06, 12.68 0.04 Methamphetamine use 3 (25%) 23 (18%) 1.57 0.39, 6.23 0.53 Injection drug use in past year 2 (17%) 13 (10%) 1.82 0.36, 9.2 0.47 Homeless or unstable housing 7 (58%) 62 (47%) 1.67 0.51, 5.48 0.4 HIV infection 9 (75%) 91 (69%) 1.32 0.34, 5.13 0.69 Taking antiretrovirals a 3 (33%) 59 (66%) 0.26 0.06, 1.12 0.07 Exposures during incarceration Participating in drug treatment classes 4 (33%) 22 (17%) 2.48 0.69, 8.95 0.17 Sharing of personal items b 7 (58%) 29 (22%) 4.92 1.45, 16.67 0.01 Any skin infections during incarceration 1 (8%) 4 (3%) 2.89 0.3, 28.11 0.36 Visit to infirmary 4 (33%) 20 (15%) 2.77 0.76, 10.09 0.12 Number of times showered in the past week, mean (SD) 4.8 (1.8) 6 (2.7) 0.81 0.62, 1.07 0.13 a 143 reached the Day 30 study visit. There were 100 HIV-infected patients that reached Day 30 Study Visit; 9 HIV-infected patients acquired MRSA and 91 did not b Personal items shared by individuals who acquired MRSA included towel, toothpaste, uniform, and deodorant Frequency 0 100 200 300 400 500 0 10 20 30 40 Clinical Intake Genomic Distance Between Pairs Frequency Kolmogorov-Smirnov Test Comparing Distributions p < 0.001 Funding: NIAID R01 (Popovich-PI) Maximum likelihood tree generated by RAxML. Clusters with 90% bootstrap support are indicated by the grey circle. Highlighted labels indicate a 90% bootstrap-supported cluster with all intake or all clinical isolates (can also include acquisition isolates). Figure 2. Genomic Distance Between Pairs of USA300 MRSA Clinical Infection and Intake Colonization Isolates Distribution of SNV distances between closest-pairs within intake and clinical isolates. One-sided Kolmogorov-Smirnov test on the distribution of clinical vs. intake closest-pair SNV distances indicate that clinical isolates tend to have closer pairs than intake isolates. 126KP 22KP 621N 8256KP 463T 194N 76KP 8291KP 72KP 91KP 403N 50KP 79KP 113KP 165KP 133KP 181KP 545N 54KP 633N 44KP 21G 32KP 8177KP 412T 149KP 150KP 171KP 567G 151KP 7797KP 161KP 62KP 263N 114KP 166KP 179KP 112KP 797G 9KP 452N 31KP 7647KP 318T 123KP 182KP 131N 13-30N 7751KP 20KP 170KP 615-30N 424N 213-30N 130KP 168KP 326T 7696KP 8057KP 103G 19KP 37T 7453KP 731T 37KP 5KP 60KP 609-30G 36KP 670N 7643KP 179T 222-30T 69KP 87KP 17KP 7676KP 513N 339N 61KP 523N 13KP 7406KP 229N 669T 110KP 7693KP 35KP 582G 302T 7679KP 163KP 30KP 281N 205T 10KP 16KP 141KP 576N 127KP 443N 67KP 169KP 78KP 143KP 105KP 53KP 128KP 7580KP 187KP 21KP 82KP 176KP 7177KP 610N 58KP 7779KP 14KP 221N 57KP 7792KP 121KP 733N 264N 6KP 662T 122KP 116KP 678N 723N 74KP 276G 15KP 542G 292N 664G 7420KP 8157KP 139KP 106-30N 173KP 598N 25KP 106KP 8271KP 344N 56KP 38T 186KP 787N 96KP 4T 8205KP 45KP 8117KP 80G 563N 606N 189KP 118KP 239N 561N 165N 325N 705N 199-30N 137KP 108G 7725KP 66N 663T 20N 154KP 398N 498T 140KP 644-30G 99KP 377N 125KP 528G 607T 94KP 188KP 28KP 119KP 131KP 86KP 714-30N 55KP 7677KP 638N 77KP 7752KP 29KP 519N 178KP 580N 266G 192KP 127N 156KP 204N 91N 219T 336T 175N 134N 242T 39N 146KP 220N 117KP 138KP 185KP 3KP 34KP 7485KP 7489KP 307T 190T 27KP 153KP 70KP 177KP 160KP 85KP 81KP 115KP 299T 48N 651N 790G 384N 7577KP 100KP 52KP 657N 277T 667G 594T 779N 120KP 18N 104KP 159KP 7184KP 59KP 148KP 7644KP 109KP 134KP 135KP 18KP 172KP 97KP 526T 7418KP 178N 223T 8289KP 65N 33KP 49KP 66KP 320T 124KP 361N 472N 98KP Legend Acquisition Clinical Intake Pure Clinical Cluster* Pure Intake Cluster* Bootstrap > 90% scale: 0.001 Tree scale: 0.001 Figure 1. Genomic Epidemiology of USA300 MRSA Intake, Clinical, and Acquisition Isolates

Transcript of Genomic Epidemiology of Methicillin-Resistant ...

Page 1: Genomic Epidemiology of Methicillin-Resistant ...

Background

• Congregate settings such as urban jails may facilitate spread of MRSA1,2

• Jails may be a location where individuals already colonized with MRSA (from preceding exposures) intermingle with other individuals, potentially augmenting spread of MRSA

Methods

• Study Setting: Cook County Jail in Chicago, IL which is one of the largest single-site jails in the US

• Males were enrolled within 72 hours of jail intake• Surveillance cultures of the anterior nares, throat, and

inguinal area were collected at entrance to the jail to determine the prevalence of MRSA colonization

• Surveillance cultures were repeated at Day 30 for those who remained incarcerated to determine the rate of MRSA acquisition during incarceration

• A survey was administered and chart review performed to identify predictors of MRSA acquisition

• Whole genome sequencing was performed with integration of epidemiologic data

Genomic Epidemiology of Methicillin-Resistant Staphylococcus aureus (MRSA) DURING Incarceration at a Large Inner-City Jail

Kyle J. Popovich, MD MS, FIDSA1,2, Evan S Snitkin, PhD3, Stefan J Green, PhD4, Alla Aroutcheva, MD PhD1,2, Michael Schoeny1, PhD, Darjai Payne, BS MPH1, Stephanie N Thiede, BS3, Chad Zawitz, MD5, Bala Hota MD MPH1, Mary K Hayden, MD1, Robert A Weinstein MD1,2

1Rush University Medical Center, Chicago, IL, 2Cook County Health and Hospitals System, Chicago, IL, 3University of Michigan Medical Center, Ann Arbor, MI, 4University of Illinois at Chicago, Chicago, IL, 5Cermak Health Services, Chicago, IL

Contact Information:Kyle Popovich, MD, MS, FIDSARush University Medical Center

600 S. Paulina St. Suite 143Chicago, IL 60612T: 312-942-4451

[email protected]

Conclusions

• There is a high burden of MRSA entering the jail (19% colonized at intake)

• Genomic analysis of acquisition, intake, and clinical isolates suggests spread of incoming strains and possible networks of spread of prevalent MRSA strains during incarceration

• Sharing of personal items during incarceration is associated with MRSA acquisition and could be a focus of an intervention

• Future study of epidemiologic and location data may inform targeting of infection control interventions within the jail

Results

• 800 males enrolled (19% colonized with MRSA at intake)• 12 MRSA acquisitions detected at Day 30 (Table)• USA300 clinical isolates (mostly skin infections) may

originate from transmission within the jail or perhaps be due to more virulent strains (Figure 1)

• Sequenced clinical USA300 isolates were more likely to be genetically similar to each other in comparison to intake USA300 MRSA strains (p<0.001) (Figure 2)

• 7/12 (58%) acquisition isolates were within 40 SNVs from another isolate that was sequenced (5 were similar to intake isolates and 2 were similar to clinical isolates)

• Acquisition strains from those sharing personal items (versus not) tended to have closer genetic relatedness (19 SNVs versus 56 SNVs, p=0.22)

References1. MRSA skin or soft tissue infections in a state prison--Mississippi, 2000. MMWR. 2001;50(42):919-22.2. Miller LG, Diep BA. Clinical practice: colonization, fomites, and virulence: rethinking the pathogenesis of

community-associated MRSA infection. Clin Infect Dis. 2008;46(5):752-60.

***See poster 1229 and oral presentation number 159 for additional abstracts from this project

Objective

• To examine the rate of MRSA acquisition during incarceration

• To characterize the genomic epidemiology of MRSA strains entering the jail, MRSA acquisition isolates, and archived clinical MRSA isolates from male detainees

1247

Table. Epidemiologic Predictors of MRSA Acquisition During IncarcerationEpidemiologicFactor MRSAAcquisition

(n=12)NoMRSAAcquisition(n=131) OR 95%CI Pvalue

ExposurespriortoincarcerationHistoryofBenzodiazepineuse 5(42%) 27(21%) 2.75 0.81,9.35 0.11Heroinuseinthepastyear 5(42%) 21(16%) 3.67 1.06,12.68 0.04Methamphetamineuse 3(25%) 23(18%) 1.57 0.39,6.23 0.53Injectiondruguseinpastyear 2(17%) 13(10%) 1.82 0.36,9.2 0.47Homelessorunstablehousing 7(58%) 62(47%) 1.67 0.51,5.48 0.4HIVinfection 9(75%) 91(69%) 1.32 0.34,5.13 0.69Takingantiretroviralsa 3(33%) 59(66%) 0.26 0.06,1.12 0.07

ExposuresduringincarcerationParticipatingindrugtreatmentclasses 4(33%) 22(17%) 2.48 0.69,8.95 0.17Sharingofpersonalitemsb 7(58%) 29(22%) 4.92 1.45,16.67 0.01Anyskininfectionsduringincarceration 1(8%) 4(3%) 2.89 0.3,28.11 0.36Visittoinfirmary 4(33%) 20(15%) 2.77 0.76,10.09 0.12Numberoftimesshoweredinthepastweek,mean(SD) 4.8(1.8) 6(2.7) 0.81 0.62,1.07 0.13

a143 reached the Day 30 study visit. There were 100 HIV-infected patients that reached Day 30 Study Visit; 9 HIV-infected patients acquired MRSA and 91 did notbPersonal items shared by individuals who acquired MRSA included towel, toothpaste, uniform, and deodorant

Closest Pair Clinical < Closest Pair Intake ? USA300 p_val= 7.67611578145617e−09

distance between closest pair

Freq

uenc

y

0 100 200 300 400 500

010

2030

40 ClinicalIntake

Genomic Distance Between Pairs

Freq

uenc

y

Kolmogorov-Smirnov TestComparing Distributions

p < 0.001

Funding: NIAID R01 (Popovich-PI)

Maximum likelihood tree generated by RAxML. Clusters with 90% bootstrap support are indicated by the grey circle. Highlighted labels indicate a 90% bootstrap-supported cluster with all intake or all clinical isolates (can also include acquisition isolates).

Figure 2. Genomic Distance Between Pairs of USA300 MRSA

Clinical Infection and Intake Colonization Isolates

Distribution of SNV distances between closest-pairs within intake and clinical isolates. One-sided Kolmogorov-Smirnov test on the distribution of clinical vs. intake closest-pair SNV distances indicate that clinical isolates tend to have closer pairs than intake isolates.

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163KP

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176K

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121KP

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307T

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Legend

Acquisition

Clinical

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Pure Clinical Cluster*

Pure Intake Cluster*

Bootstrap > 90%

Tree scale: 0.001

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115K

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P

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472N

98K

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Legend

Acquisition

Clinical

Intake

Pure Clinical Cluster*

Pure Intake Cluster*

Bootstrap > 90%

Tree scale: 0.001

Figure 1. Genomic Epidemiology of USA300 MRSA Intake, Clinical, and Acquisition Isolates