Hostname: page-component-745bb68f8f-grxwn Total loading time: 0 Render date: 2025-02-04T14:41:35.208Z Has data issue: false hasContentIssue false

Carbapenem resistance in the Dominican Republic: clinical characteristics, genotypic profiles, and risk factors

Published online by Cambridge University Press:  27 January 2025

Ricardo Ernesto Hernández-Landa
Affiliation:
Hospital General Plaza de la Salud, Santo Domingo, Dominican Republic
Rita Rojas-Fermín
Affiliation:
Hospital General Plaza de la Salud, Santo Domingo, Dominican Republic
Anel Guzman-Marte
Affiliation:
Hospital General Plaza de la Salud, Santo Domingo, Dominican Republic
Katherine Peralta Agramonte
Affiliation:
Hospital General Plaza de la Salud, Santo Domingo, Dominican Republic
Missel María Jiménez Cedano
Affiliation:
Hospital General Plaza de la Salud, Santo Domingo, Dominican Republic
Surelly Alexandra Mora-Peralta
Affiliation:
Hospital General Plaza de la Salud, Santo Domingo, Dominican Republic
Patricia Sanrregré-Oven
Affiliation:
Hospital General Plaza de la Salud, Santo Domingo, Dominican Republic
Alfredo J. Mena Lora*
Affiliation:
University of Illinois at Chicago, Chicago, IL, USA
*
Corresponding author: Alfredo J. Mena Lora; Email: amenalora@sahchicago.org

Abstract

Objective:

To characterize the clinical and microbiological features of carbapenem-resistant Enterobacterales (CRE) compared to carbapenem-susceptible Enterobacterales (CSE) in the Dominican Republic (DR), and to assess risk factors associated with CRE.

Design:

Retrospective case-control study.

Setting:

Hospital General Plaza de la Salud, a tertiary teaching hospital in Santo Domingo, DR, from January 2015 to June 2024.

Patients:

Patients with CRE infections were identified from microbiology records. For each year, a matched group of CSE cases was selected at a 2.5:1 ratio. A total of 101 CRE cases and 280 CSE cases were included.

Methods:

Data were collected on demographics, comorbidities, infection sources, hospital stay duration, antibiotic use, and microbiology results. Statistical analysis included univariate and multivariate logistic regression to identify independent risk factors for CRE.

Results:

CRE cases showed higher prevalence of Enterobacter (36.5%) and Klebsiella (38.5%), while Escherichia predominated in CSE (65.5%). CRE patients had longer hospital stays (mean 18.7 vs 4.6 days, P < 0.001), higher ICU admission rates (34.7% vs 3.6%, P < 0.001), and increased invasive procedure use (eg central venous catheters, 36.6% vs 5.4%, P < 0.001). Key risk factors included antibiotic use (OR 3.09, P < 0.001) and ICU stay (OR 3.60, P= 0.012). The peak CRE resistance rate was 3.47% in 2022, a 64% increase from pre-pandemic levels.

Conclusions:

CRE infections in the DR increased during the COVID-19 pandemic, associated with prolonged hospitalizations and critical care. Enhanced antimicrobial stewardship is essential to curb resistance.

Type
Original Article
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2025. Published by Cambridge University Press on behalf of The Society for Healthcare Epidemiology of America

Background

Antimicrobial resistance (AMR) is a major global public health challenge. 1 Unique factors present in low- and middle-income countries (LMICs) may contribute to AMR. 2 Antimicrobials are inexpensive and easily accessible in many LMICs, often without prescriptions. Reference Esimone, Nworu and Udeogaranya3Reference Shet, Sundaresan and Forsberg5 This ease of access may have contributed to a rise in antimicrobial usage and AMR in LMICs in the past decade. Reference Semret and Haraoui6 Further increases in the use of antibiotics due to the COVID-19 pandemic threatens to worsen AMR. 7

In the Dominican Republic (DR), studies have shown high levels of extended-spectrum beta-lactamase (ESBL) producing organisms in ambulatory patients. In this study, carbapenem resistance was not commonly seen in ambulatory patients. Reference Mena Lora, Sorondo, Billini, Gonzalez and Bleasdale8 However, an increase in carbapenem resistance occurred in ambulatory settings between 2020 and 2021. Reference Mena Lora, Sorondo, Billini, Gonzalez and Bleasdale8 There is a paucity of data on inpatient susceptibility patterns in the DR and the impact of the COVID-19 pandemic on antimicrobial resistance (AMR). Understanding local susceptibility patterns is key to help guide empiric therapy. We seek to describe resistance in the DR and the impact of the COVID-19 pandemic.

Methods

Study design

This is a retrospective case-control study assessing clinical and epidemiological characteristics of patients with carbapenem-resistant Enterobacterales (CRE) and carbapenem-susceptible Enterobacterales (CSE) infections from January 3, 2015 to June 27, 2024. The study was conducted at Hospital General Plaza de la Salud, a 289-bed tertiary teaching hospital located in Santo Domingo, DR. Patients with CRE infections were identified retrospectively from clinical microbiology records. For each year of the study period, a matched group of patients with CSE infections was randomly selected. The number of CSE cases chosen each year was matched at a ratio of 2.5 CSE for every CRE case identified that year, ensuring a comparable sample size between the two groups.

Data collection

Data was extracted from electronic medical records, including demographics, comorbidities, source of infection, length of hospital stay, and antibiotic utilization patterns. Additionally, we reviewed microbiology results from clinical cultures to identify causal pathogens, assess antibiotic susceptibility profiles, confirm the presence of carbapenemase production, and performed genotype testing of CRE isolates.

Microbiology

Bacterial identification and susceptibility testing were done in a Vitek 2 compact system (bioMérieux, France). Strains that were non-susceptible to at least one carbapenem (ertapenem, meropenem, imipenem) according to the Clinical and Laboratory Standards Institute (CLSI) breakpoints available for each year, were tested for carbapenemase production with the modified carbapenem inactivation method (mCIM, CLSI M100). Strains that tested positive were then confirmed and with a phenotype-based disc method (D73C MASTDiscs Combi Carba Plus, Mast Group LTD, Merseyside, UK), following the manufacturer indications. In 2023, the institution implemented a qualitative lateral flow immunoassay to detect and differentiate the five most prevalent carbapenemases families (NDM, IMP, VIM, OXA-48, and KPC; NG-test CARBA 5, Hardy Diagnostics, USA).

Statistical analysis

Frequencies and means with standard deviations were calculated for qualitative and quantitative variables respectively to perform an univariable analysis. Odds ratios (ORs) were calculated to compare clinical and epidemiological characteristics between CRE and CSE cases and to identify variables associated with CRE infection. Variables demonstrating statistically significant associations (P < 0.05 and a valid CI interval) in the bivariable analysis were subsequently incorporated into a multivariable logistic regression model. This analysis was conducted to identify independent risk factors for CRE infection while controlling for potential confounding variables. Statistical analyses were performed using JASP statistical analysis software.

Ethics

The institutional review board at the Hospital General Plaza de la Salud reviewed and approved this study.

Results

A total of 5165 enterobacterales isolates grew during the study period, of which 104 (%) isolates from 101 patients were found to have carbapenem resistance. A total of 284 CSE isolates from 280 patients were used as comparators. Of the 104 CRE isolates, 9 were isolated in 2015, followed by 14 in 2016, 8 in 2017, 3 in 2018, 4 in 2019, 8 in 2020, 21 in 2021, 15 in 2022, 14 in 2023, and 8 in 2024 (Figure 1). The CRE resistance rate peaked at 3.47 in 2022, a 64% increase from the peak resistance rate before COVID-19 (Figure 2).

Figure 1. Carbapenem resistance by year.

Figure 2. Carbapenem resistance rates by year.

Microbiology and genetic basis of resistance

CRE cases were more frequently associated with Enterobacter (36.5% vs. 5.6%) and Klebsiella (38.5% vs. 19.4%), while Escherichia was predominantly found in CSE cases (65.5% vs. 10.6% for CRE) (Figure 3, Supplement 1). CRE samples were more frequently obtained from blood cultures, both peripheral (26.7% vs. 7.5%) and central (12.9% vs. 0.4%), compared to CSE. Urine samples were significantly more common in CSE cases (66.1% vs. 31.7% for CRE) (Figure 3, Supplement 1). Of the 104 isolates with carbapenem resistance, 64 (61.5%) had carbapenemase genes identified, 13 (12.5%) indeterminate, and 27 (26%) isolates without carbapenemase detected. Identified genotypes included KPC with 40 cases (38.4%), 21 isolates (20%) with Metallo betalactamase (MBL) and 3 (3%) with OXA production (Figure 1).

Figure 3. Microbiology and sample source.

Clinical characteristics and risk factors

Male sex was more common among CRE patients (61.4% vs. 37.1%, P < 0.001). CRE patients had a longer length of stay (mean 16.15 ± 17.82 days vs. 2.87 ± 7.74 days for CSE, P < 0.001), and were more likely to experience prolonged hospitalization of over 10 days (55.5% vs. 10%, OR 2.42, P < 0.001) (Table 1). CRE patients were more often in the ICU (34.7% vs. 3.6%, OR 2.65 [95% CI: 1.9–3.4], P < 0.001), while CSE patients were more frequently in walk-in or clinical wards (P < 0.001 for both) (Table 1). Among comorbidities, nephropathy (28.7% vs. 13.2%, P < 0.001), diabetes mellitus (34.7% vs. 24.3%, P = 0.006), and COVID-19 (7.9% vs. 1.4%, P = 0.004) were significantly more prevalent in CRE cases (Table 1).

Table 1. Risk factors correlated with carbapenem resistance among patients with an Enterobacteria isolate

Note: All P-values are Chi-square except for “age” (t-test).

Antibiotic use was strongly associated with CRE, showing an odds ratio of 0.288 (95% CI: 0.148–0.56, P < 0.001) (Tables 1-2, Supplement 2-3). Antimicrobial use was more common with CRE (81% vs 36%). Higher rates of glycopeptide (35.6% vs. 7.5%, P < 0.001), cephalosporin (54.5% vs. 22.9%, P < 0.001), and carbapenem (40.6% vs. 4.3%, P < 0.001) use was found in CRE patients (Tables 1-2, Supplement 2). CRE cases involved more frequent use of invasive procedures, such as central venous catheters (36.6% vs. 5.4%, OR 2.32, P < 0.001) and mechanical ventilation (28.7% vs. 4.3%, OR 2.2, P < 0.001) (Table 1, Supplement 2-3). CRE were also more commonly post-surgical cases (32.7% vs. 20.7%, P = 0.016).

Table 2. Logistic regression model for potential carbapenem-resistant Enterobacterales risk factors

Note. Carbapenem-resistance level “Yes” coded as class 1.

Discussion

Our study provides insight into the shifting dynamics of carbapenem resistance in the DR over the course of nine years, including years before and after the COVID-19 pandemic. During the pandemic, a marked increase in CRE infections was observed at our facility, with the CRE resistance rate peaking at 3.47% in 2021—a 64% increase compared to pre-pandemic levels in 2015. This rise mirrors trends reported in other parts of Latin America and the United States. One analysis of antimicrobial susceptibility patterns in outpatients across the DR from 2018 to 2021 also revealed an increase in carbapenem resistance for E. coli and Pseudomonas immediately after the pandemic. Reference Mena Lora, Sorondo, Billini, Gonzalez and Bleasdale8 Similarly, reports from the United States (US) also show a rise in AMR during the COVID-19 pandemic. 9

The widespread overuse of antibiotics in LMICs, such as the DR, is a long-standing challenge that may have been worsened by the pandemic. In the DR, antibiotics are readily accessible without prescriptions in pharmacies and retail stores, and this easy access could contribute to the high prevalence of ESBL-producing organisms. Reference Mena Lora, Rojas-Fermin, Bisono, Almonte and Bleasdale10 Aminopenicillins are frequently purchased over the counter, potentially contributing to the high prevalence of ESBL-producing organisms. Previous studies have demonstrated high rates of ceftriaxone resistance, with over 25% of E. coli strains resistant in outpatient settings and over 46% of hospitalized adults affected. Reference Mena Lora, Sorondo, Billini, Gonzalez and Bleasdale8,Reference Luna11,Reference Mena Lora12 High rates of ESBL-producing bacteria make carbapenems a crucial part of antimicrobial therapy for moderately or severely ill hospitalized patients. The increase in carbapenem resistance observed in our study may reflect the antimicrobial pressure exerted during the pandemic, rising in 2021 and subsequently declining in 2022. COVID-19 infection, prolonged hospital stays, and bloodstream infections were significantly associated with carbapenem-resistant Enterobacteriaceae (CRE) during this period, indicating that critically ill patients are at heightened risk. Therefore, scaling up antimicrobial stewardship programs in the DR and other LMICs is essential to mitigate the spread of CRE.

The predominant carbapenemase genes in our cohort were KPC (57.1%), MBL (37.14%), and OXA (5.7%), underscoring genetic diversity of resistance mechanisms in CRE in the DR.

Some carbapenem-resistant isolates had no detectable carbapenemase genes, potentially due to mechanisms like porin loss or efflux pump overexpression. KPC, first identified in the US in 1996 and in Latin America in 2005, remains the most common carbapenemase in the US. Reference Logan and Weinstein13 In contrast, NDM is predominant in the Indian subcontinent and some Balkan nations, while OXA-48 and its variants are prevalent in Europe, the Mediterranean, and North Africa, with sporadic US cases linked to travel. Reference Reyes14 Understanding the distribution of these genes is essential for selecting optimal antimicrobials to treat carbapenem-resistant infections and guiding hospital formulary decisions.

Our study has several limitations. As a retrospective case-control study, it is subject to selection and information biases due to reliance on existing medical records. Conducted in a single hospital, the findings may not be generalizable or reflect the epidemiology across the DR. The small sample size may affect statistical power and our genotype testing method may vary in sensitivity and specificity. However, it provides a useful clinical and microbiological snapshot of carbapenem resistance over a three-year period, highlighting the impact of the COVID-19 pandemic on AMR patterns. Our study underscores the critical need for ongoing monitoring of AMR, particularly in the context of global health crises such as the COVID-19 pandemic.

Supplementary material

The supplementary material for this article can be found at https://doi.org/10.1017/ash.2024.503

Acknowledgments

The authors want to acknowledge all collaborators at Hospital General Plaza de la Salud.

Financial support

No financial support was provided relevant to this article.

Competing interests

All authors report no conflicts of interest relevant to this article.

References

Organization, W. H. Antimicorbial Resistance Fact Sheet. Antimicorbial Resistance http://www.who.int/en/news-room/fact-sheets/detail/antimicrobial-resistance.Google Scholar
US Department of Health and Human Services & CDC. Antibiotic Resistance Threats in the United States, 2019. Centers for Disease Control and Prevention https://www.cdc.gov/drugresistance/biggest_threats.html (2019) doi: 10.15620/cdc:82532.CrossRefGoogle Scholar
Esimone, CO, Nworu, CS & Udeogaranya, OP Utilization of antimicrobial agents with and without prescription by out-patients in selected pharmacies in South-eastern Nigeria. Pharm World Sci 2007;29, 655660.CrossRefGoogle ScholarPubMed
Muri-Gama, AS, Figueras, A & Secoli, SR Inappropriately prescribed and over-the-counter antimicrobials in the Brazilian Amazon basin: we need to promote more rational use even in remote places. PLoS One 2018;13:18.CrossRefGoogle ScholarPubMed
Shet, A, Sundaresan, S & Forsberg, BC Pharmacy-based dispensing of antimicrobial agents without prescription in India: appropriateness and cost burden in the private sector. Antimicrob Resist Infect Control 2015;4:17.CrossRefGoogle ScholarPubMed
Semret, M & Haraoui, LP Antimicrobial Resistance in the Tropics. doi: 10.1016/j.idc.2018.10.009.CrossRefGoogle Scholar
Centers for Disease Control and Prevention. 2022 SPECIAL REPORT: COVID-19 U.S. Impact on Antimicrobial Resistance. doi: 10.15620/cdc:117915.CrossRefGoogle Scholar
Mena Lora, AJ, Sorondo, C, Billini, B, Gonzalez, P & Bleasdale, SC Antimicrobial resistance in Escherichia coli and Pseudomonas aeruginosa before and after the coronavirus disease 2019 (COVID-19) pandemic in the Dominican Republic. Antimicrobial Stewardship & Healthcare Epidemiology : ASHE 2022;2:e191.CrossRefGoogle ScholarPubMed
Centers for Disease Control and Prevention. COVID-19: U.S. Impact on Antimicrobial Resistance, Special Report 2022. https://stacks.cdc.gov/view/cdc/117915 (2022) doi: 10.15620/cdc:117915.CrossRefGoogle Scholar
Mena Lora, AJ, Rojas-Fermin, R, Bisono, B, Almonte, M & Bleasdale, SC A nationwide survey of antimicrobial dispensation practices in pharmacies and bodegas in the Dominican Republic. Antimicrobial Stewardship & Healthcare Epidemiology 2022;2:e173.CrossRefGoogle ScholarPubMed
Luna, D De et al. 586. Multidrug-resistant organisms from three pedaitric inpatient units in the Domincan Republic. Open Forum Infect Dis 2019;6:S277.CrossRefGoogle Scholar
Mena Lora, AJ et al. 408. Impact of the COVID-19 pandemic on antimicrobial use and resistance in the United States and the dominican republic. Open Forum Infect Dis 2021;8:S305S306.CrossRefGoogle Scholar
Logan, LK & Weinstein, RA The epidemiology of carbapenem-resistant enterobacteriaceae: the impact and evolution of a global menace. J Infect Dis 2017;215:S28S36.CrossRefGoogle ScholarPubMed
Reyes, J et al. Global epidemiology and clinical outcomes of carbapenem-resistant Pseudomonas aeruginosa and associated carbapenemases (POP): a prospective cohort study. Lancet Microbe 2023;4:e159e170.CrossRefGoogle ScholarPubMed
Figure 0

Figure 1. Carbapenem resistance by year.

Figure 1

Figure 2. Carbapenem resistance rates by year.

Figure 2

Figure 3. Microbiology and sample source.

Figure 3

Table 1. Risk factors correlated with carbapenem resistance among patients with an Enterobacteria isolate

Figure 4

Table 2. Logistic regression model for potential carbapenem-resistant Enterobacterales risk factors

Supplementary material: File

Hernández-Landa et al. supplementary material

Hernández-Landa et al. supplementary material
Download Hernández-Landa et al. supplementary material(File)
File 18.9 KB