| Literature DB >> 35650193 |
Kalisvar Marimuthu1,2,3, Indumathi Venkatachalam4, Vanessa Koh5,6, Stephan Harbarth7, Eli Perencevich8,9, Benjamin Pei Zhi Cherng10,4,11, Raymond Kok Choon Fong12, Surinder Kaur Pada13, Say Tat Ooi14, Nares Smitasin10,15, Koh Cheng Thoon16, Paul Anantharajah Tambyah15, Li Yang Hsu10,17,18, Tse Hsien Koh4,11, Partha Pratim De6, Thean Yen Tan12, Douglas Chan13, Rama Narayana Deepak14, Nancy Wen Sim Tee15, Andrea Kwa4,19,20, Yiying Cai4,18, Yik-Ying Teo17,18, Natascha May Thevasagayam5,6, Sai Rama Sridatta Prakki5,6, Weizhen Xu5,6, Wei Xin Khong6, David Henderson21, Nicole Stoesser22, David W Eyre23, Derrick Crook22, Michelle Ang5, Raymond Tzer Pin Lin5,15, Angela Chow6,17,24, Alex R Cook17, Jeanette Teo15, Oon Tek Ng25,26,27.
Abstract
Carbapenemase-producing Enterobacterales (CPE) infection control practices are based on the paradigm that detected carriers in the hospital transmit to other patients who stay in the same ward. The role of plasmid-mediated transmission at population level remains largely unknown. In this retrospective cohort study over 4.7 years involving all multi-disciplinary public hospitals in Singapore, we analysed 779 patients who acquired CPE (1215 CPE isolates) detected by clinical or surveillance cultures. 42.0% met putative clonal transmission criteria, 44.8% met putative plasmid-mediated transmission criteria and 13.2% were unlinked. Only putative clonal transmissions associated with direct ward contact decreased in the second half of the study. Both putative clonal and plasmid-mediated transmission associated with indirect (no temporal overlap in patients' admission period) ward and hospital contact did not decrease during the study period. Indirect ward and hospital contact were identified as independent risk factors associated with clonal transmission. In conclusion, undetected CPE reservoirs continue to evade hospital infection prevention measures. New measures are needed to address plasmid-mediated transmission, which accounted for 50% of CPE dissemination.Entities:
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Year: 2022 PMID: 35650193 PMCID: PMC9160272 DOI: 10.1038/s41467-022-30637-5
Source DB: PubMed Journal: Nat Commun ISSN: 2041-1723 Impact factor: 17.694
Fig. 1Disposition of isolates analysed in the study.
From September 2010 to April 2015, 1312 carbapenemase-producing Enterobacterales isolates were obtained from the National Public Health Laboratory, of which 1215 isolates had species and carbapenemase gene(s) concordant between genomic and laboratory phenotypic methods as well as metadata available. Isolates from patients who had more than one isolate carrying the same carbapenemase gene were removed (N = 314). A total of 901 index isolates formed the dataset for establishing putative clonal or plasmid-mediated transmission in terms of source-acquisition case pairs, from which 779 acquisition patients were defined.
Fig. 2Incidence of carbapenemase-producing Enterobacterales patients from 2010 to 2015.
The data is presented as (a) total incidence of patients resulting from putative clonal or plasmid-mediated transmission, or neither, b Incidence of patients among surveillance cultures only, c Incidence of patients among clinical cultures only, d Incidence of patients resulting from putative clonal transmission stratified by hospital or ward contact, e Incidence of patients resulting from putative plasmid-mediated transmission stratified by hospital or ward contact. Incidence is defined as the number of new patient pairs per 10,000 patient-days. Surveillance culture rate is defined as the number of surveillance cultures per 10,000 patient-days. Ward contact was further classified as direct or indirect, and in the absence of any form of ward contact, direct or indirect hospital contact. Time trends are presented as six-period (month) moving averages. Lines represent the incidence point estimate and the shaded areas represent the 95% CI of the estimate.
Factors associated with putative clonal transmission of CPE.
| Variable | Clonal-transmission pairs ( | Control pairs ( | Clonal-transmission pairsa (weighted %) | Control pairsa (weighted %) | Univariable analysisb | Multivariable analysisb | ||
|---|---|---|---|---|---|---|---|---|
| OR (95%CI) | aOR (95%CI) | |||||||
| No hospital nor ward contact | 288 (19.9) | 763 (52.6) | 18.5% | 44.9% | ref | – | ref | – |
| Direct ward contact | 134 (9.2) | 5 (0.3) | 14.5% | 0.5% | 7.55 (5.01–11.4) | <0.0001 | 6.22 (3.89–9.95) | <0.0001 |
| Indirect ward contact | 255 (17.6) | 172 (11.9) | 18.1% | 12.6% | 3.11 (2.08–4.66) | <0.0001 | 2.90 (1.89–4.45) | <0.0001 |
| Direct hospital contact (No ward contact) | 385 (26.5) | 100 (6.9) | 29.0% | 9.1% | 4.99 (3.42–7.29) | <0.0001 | 4.66 (3.20–6.79) | <0.0001 |
| Indirect hospital contact (No ward contact) | 389 (26.8) | 411 (28.3) | 19.9% | 32.9% | 1.65 (1.07–2.53) | 0.022 | 1.62 (1.07–2.47) | 0.023 |
| No contact | 1115 (76.8) | 1261 (86.9) | 74.9% | 84.9% | ref | – | ref | – |
| Direct contact | 127 (8.8) | 20 (1.4) | 12.4% | 2.0% | 2.72 (1.91–3.87) | <0.0001 | 1.19 (0.80–1.77) | 0.38 |
| Indirect contact | 209 (14.4) | 170 (11.7) | 12.7% | 13.2% | 1.10 (0.76–1.60) | 0.61 | 0.97 (0.64–1.45) | 0.87 |
| No contact | 1438 (99.1) | 1442 (99.4) | 99.6% | 99.0% | ref | – | ref | – |
| Direct contact | 0 | 0 | 0.0% | 0.0% | – | – | – | – |
| Indirect contact | 13 (0.9) | 9 (0.6) | 0.4% | 1.0% | 0.49 (0.06–3.93) | 0.50 | – | – |
| | 283 (19.5) | 593 (40.9) | 18.1% | 39.4% | ref | – | ref | – |
| | 819 (56.4) | 395 (27.2) | 57.5% | 30.4% | 3.05 (2.04–4.55) | <0.0001 | 3.13 (2.14–4.58) | <0.0001 |
| | 308 (21.2) | 318 (21.9) | 17.9% | 19.6% | 1.75 (1.14–2.71) | 0.011 | 2.29 (1.46–3.61) | 0.0003 |
| Others | 41 (2.8) | 145 (10.0) | 6.5% | 10.5% | 1.31 (0.65–2.65) | 0.45 | 1.25 (0.59–2.64) | 0.56 |
| | 443 (30.5) | 591 (40.7) | 33.3% | 42.0% | ref | – | ref | – |
| | 664 (45.8) | 599 (41.3) | 48.0% | 39.7% | 1.39 (1.01–1.90) | 0.042 | 1.52 (1.04–2.22) | 0.031 |
| | 321 (22.1) | 153 (10.5) | 14.7% | 10.5% | 1.55 (1.01–2.38) | 0.043 | 1.81 (1.13–2.91) | 0.014 |
| Others | 23 (1.6) | 108 (7.4) | 4.0% | 7.8% | 0.69 (0.31–1.56) | 0.38 | 0.77 (0.34–1.78) | 0.55 |
| No contact | 1450 (100.0) | 1451 (100.0) | – | – | – | – | – | – |
| Same household | 0 | 0 | – | – | – | – | – | – |
| Same zipcode | 1 (0.0) | 0 | – | – | – | – | – | – |
OR Odds-ratio, aOR Adjusted odds-ratio, Ref Reference, – Not applicable
aTo correct for potential bias from clustering, the prevalence of epidemiologic risk factors were inversely-weighted by a factor of one over the number of case-control pairs with identical source patient and by reducing the sample size to derive standard errors concomitantly.
bUnivariable and multivariable analyses were conducted based on the weighted percentages using conditional logistic regression on matched case-control pairs. The Wald chi-square test was performed for all the risk factors with an α level of 0.05 (two-sided). No adjustment was made for multiple comparisons.
cCommunity contact was excluded from univariable and multivariable analyses as the frequency of exposure was too low.
Factors associated with putative plasmid-mediated transmission of CPE.
| Variable | Plasmid-mediated transmission pairs ( | Control pairs ( | Plasmid-mediated transmission pairsa (weighted %) | Control pairsa (weighted %) | Univariable analysisb | Multivariable analysisb | ||
|---|---|---|---|---|---|---|---|---|
| OR (95%CI) | aOR (95%CI) | |||||||
| No hospital nor ward contact | 8586 (28.6) | 13690 (45.5) | 39.3% | 52.9% | ref | – | ref | – |
| Direct ward contact | 636 (2.1) | 221 (0.7) | 2.5% | 0.6% | 2.16 (0.81–5.76) | 0.12 | 2.14 (0.63–7.27) | 0.22 |
| Indirect ward contact | 5958 (19.8) | 4070 (13.5) | 16.1% | 11.7% | 1.49 (0.78–2.83) | 0.23 | 1.46 (0.69–3.09) | 0.32 |
| Direct hospital contact (No ward contact) | 4883 (16.2) | 2193 (7.3) | 14.9% | 5.9% | 1.87 (1.06–3.32) | 0.032 | 1.79 (0.98–3.27) | 0.058 |
| Indirect hospital contact (No ward contact) | 9996 (33.3) | 9885 (32.8) | 27.3% | 28.9% | 1.21 (0.66–2.22) | 0.53 | 1.20 (0.62–2.30) | 0.59 |
| No contact | 24166 (80.4) | 26137 (87.0) | 83.2% | 87.8% | ref | – | ref | – |
| Direct contact | 1343 (4.5) | 556 (1.8) | 3.9% | 1.6% | 1.50 (0.85–2.64) | 0.16 | 1.01 (0.53–1.92) | 0.98 |
| Indirect contact | 4550 (15.1) | 3366 (11.2) | 12.9% | 10.6% | 1.14 (0.65–2.00) | 0.64 | 0.96 (0.50–1.84) | 0.90 |
| No contact | 29791 (99.1) | 29811 (99.2) | 99.4% | 99.4% | ref | – | ref | – |
| Direct contact | 5 (0.0) | 2 (0.0) | <0.1% | <0.1% | – | – | – | – |
| Indirect contact | 263 (0.9) | 246 (0.8) | 0.6% | 0.6% | 0.98 (0.31–3.12) | 0.97 | – | – |
| | 16863 (56.1) | 7556 (25.1) | 40.7% | 30.3% | ref | – | ref | – |
| | 12222 (40.7) | 15391 (51.2) | 49.9% | 48.3% | 0.88 (0.55–1.39) | 0.58 | 0.92 (0.58–1.47) | 0.73 |
| | 308 (1.0) | 4888 (15.3) | 6.6% | 14.3% | 0.49 (0.12–1.91) | 0.30 | 0.52 (0.14–1.89) | 0.32 |
| Others | 666 (2.2) | 2224 (7.4) | 2.9% | 7.1% | 0.44 (0.07–2.67) | 0.38 | 0.46 (0.08–2.70) | 0.39 |
| No contact | 30048 (100.0) | 30057 (100.0) | – | – | – | – | – | – |
| Same household | 1 (0.0) | 0 | – | – | – | – | – | – |
| Same zipcode | 10 (0.0) | 2 (0.0) | – | – | – | – | – | – |
OR Odds-ratio, aOR Adjusted odds-ratio, Ref Reference, – Not applicable
aTo correct for potential bias from clustering, the prevalence of epidemiologic risk factors were inversely-weighted by a factor of one over the number of case-control pairs with identical source patient and by reducing the sample size to derive standard errors concomitantly.
bUnivariable and multivariable analyses were conducted based on the weighted percentages using conditional logistic regression on matched case-control pairs. The Wald chi-square test was performed for all the risk factors with an α level of 0.05 (two-sided). No adjustment was made for multiple comparisons.
cCommunity contact was excluded from univariable and multivariable analyses as the frequency of exposure was too low.
Fig. 3Staggered adoption of infection-prevention measures at participating study sites over study period (September 2010 to April 2015).
The coloured-bars represent the time period of adoption of the various measures with calendar years denoted on the x-axis. Specific measures are listed on the y-axis. The bars are colour-coded to differentiate the various participating hospitals.