Bacterial incidence and drug resistance from pathogens recovered from blood, cerebrospinal and pleural fluids in 2019–2020. Results of the Invifar network

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Microbiology

Introduction

Bacterial species are developing resistance to many antibiotics (Prestinaci, Pezzotti & Pantosti, 2015; Paphitou, 2013; Karam & Heffner, 2000; Laxminarayan et al., 2013; Pogue et al., 2015). To control the dissemination of these organisms, it is necessary to monitor the antimicrobial susceptibility of the microorganisms most frequently detected in hospitals (Roca et al., 2015). The analysis of sterile fluids is essential because potential pathogens are considered significant in most cases (Opota et al., 2015). Blood, cerebrospinal fluid (CSF), and pleural fluid are sterile fluids frequently received in the microbiology laboratory for culture in suspected infections. These infections are associated with considerable morbidity and mortality (Proulx et al., 2005).

Regarding blood cultures, mortality associated with bloodstream infections is directly related to the delay in administering the first adequate antimicrobial agent (Ferrer et al., 2014). Empirical antimicrobial infectious treatments are chosen based on clinical and epidemiological data (Paul et al., 2010).

Bacterial meningitis occurs primarily in childhood and is associated with a high mortality rate and potentially severe morbidity. Antibiotic resistance may limit the effectiveness of treatment (Kim, 2010; Briand et al., 2016). Thus, early diagnosis and appropriate antibiotic therapy are needed to avoid further complications.

Pleural infections are a significant cause of morbidity or death, and their incidence continues to rise (Farjah et al., 2007). Current guidelines recommend pleural fluid microbiological studies to direct antibiotic treatment (Light, 1999). Mortality has been found to increase as much as 40% when gram-negative bacteria, Staphylococcus aureus, or a mixed aerobic infection are detected (Maskell et al., 2006). Thus, reliable identification of these groups would allow the targeting of early aggressive therapy, and calculations of resistance percentages may help in the use of adequate empirical treatments.

It is necessary to define local and national resistance rates for various pathogens in the blood and other sterile body fluids to provide baseline data that can serve as an essential reference for monitoring resistance and empirical therapy changes. Thus, the present study investigated the cumulative incidence and antimicrobial susceptibility patterns from pathogens recovered from sterile fluids.

Material and Methods

Ethics statement

This study was performed in compliance with the requirements of the Research and Biosafety Ethics Committee of the Antiguo Hospital Civil de Guadalajara “Fray Antonio Alcalde,” Jalisco, Mexico, which approved this study with reference number 129/17. The ethics committee waived informed consent because no intervention was involved, and no patient-identifying information was included. All institutions agreed to participate.

Participating centers, data collection, and analysis

The centers from the Network for the Research and Surveillance of Drug Resistance (Red Temática de Investigación y Vigilancia de la Farmacorresistencia, INVIFAR in Spanish) were invited to participate in the study. The INVIFAR network was created in March 2018 to contribute to improving the surveillance and control of drug resistance in Mexico and the performance of the network’s laboratories, comprised of laboratories, hospitals, research centers, and universities in Mexico. Participating centers provided retrospective aggregated laboratory data of blood, CSF, and pleural liquid collected from January 1, 2019, to December 31, 2020.

Each laboratory identified the strains and tested their susceptibilities using routine, conventional methods, including commercial microdilution systems (VITEK 2, Biomérieux; Phoenix Automated Microbiology System, Becton, Dickinson; MicroScan WalkAway, Siemens Healthcare Diagnostics; and Sensititre, TREK Diagnostic Systems Inc.) or the disk diffusion susceptibility method.

All databases were deposited into the WHONET 5.6 platform and converted to the WHONET format using the BacLink 2 tool. Only one strain per patient was included. The distribution of antimicrobial resistance was included for clinical isolates recovered from blood, CSF, and pleural liquid. Clinical and Laboratory Standards Institute (CLSI) criteria were used to score the results (CLSI, 2020). Databases included type of body fluid, isolated bacterial species, antibiotic tested, and susceptibility test results.

Susceptibility testing for Streptococcus pneumoniae

For S. pneumoniae, a comparative analysis was conducted between results observed for routine, conventional methods with data from the broth microdilution (BMD) method. Only blood isolates were included in this study. This work was performed with the collaboration of the SIREVA/GIVEBPVac (Grupo Interinstitutional para la Vigilancia de Enfermedades Bacterianas Prevenibles por Vacunación, in Spanish) network. Susceptibility testing was performed by BMD following the guidelines of the CLSI (2020). S. pneumoniae ATCC 49619 was used as a control strain. Cation-adjusted Mueller Hinton broth (Becton, Dickinson, MD, USA), which had lysed horse blood added to a final concentration of 5%, was used as a medium.

Results

Participating centers and included clinical isolates

Forty-five centers participated in the study, contributing 35,450 clinical isolates recovered from sterile fluids, which included 30,746 from blood, 2,429 from pleural fluid, and 2,275 from CSF.

The most frequently detected bacterial species in blood and CSF was Staphylococcus epidermidis. After S. epidermidis in blood samples, gram-negative isolates were frequently detected: Escherichia coli was the most frequent species, followed by Klebsiella pneumoniae and Enterobacter cloacae. Other frequently detected species were Serratia marcescens, Klebsiella aerogenes, Proteus mirabilis, Morganella morganii, and Salmonella spp. Among non-fermenters, the most frequent species were Pseudomonas aeruginosa, followed by Acinetobacter baumannii, Stenotrophomonas maltophilia, and Burkholderia cepacia. Among gram-positive isolates, S. epidermidis was the most frequent species detected, followed by S. aureus.

In clinical isolates from CSF, gram-negative bacteria were frequently detected, with E. coli being the most prevalent, followed by K. pneumoniae and non-fermenters P. aeruginosa and A. baumannii. Again, S. epidermidis was the most frequent species detected among gram-positive bacteria, followed by S. aureus.

In clinical isolates from pleural fluid, the most frequent species detected among gram-negative bacteria was E. coli, followed by P. aeruginosa. Other species detected were K. pneumoniae, E. cloacae, P. mirabilis, and A. baumannii. In gram-positive isolates, S. aureus was the most frequently detected species.

Drug resistance of pathogens from blood

For pathogens recovered from blood, among Enterobacterales (except Salmonella species), carbapenem resistance ranged from 0% in K. aerogenes to 9.8% in K. pneumoniae. Quinolone resistance ranged from 0% to 35.8%, with higher percentages detected for ciprofloxacin than for levofloxacin, except in C. freundii and S. marcescens (Table 1A). The highest resistance was observed in E. coli (64% for ciprofloxacin and 57.8% for levofloxacin). In general, high resistance percentages were observed for cephalosporins, with lower values observed in E. cloacae.

Table 1:
Distribution of resistant (R), intermediate (I), and susceptible (S) gram-negative isolates from blood samples of patients in Mexico.
E. coli K. pneumoniae K. aerogenes E. cloacae C. freundii S. marcescens P. mirabilis M. morganii
Antibiotic n %R %I %S n %R %I %S n %R %I %S n %R %I %S n %R %I %S n %R %I %S n %R %I %S n %R %I %S
AMP 1602 87.2 0.2 12.6 ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND 52 44.2 0.0 55.8 ND ND ND ND
FOX 660 40.3 1.1 58.6 403 50.9 1 48.1 ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND 16 0.0 0.0 100 ND ND ND ND
CXM 884 68.3 0.7 31 641 69.1 0.5 30.4 ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND
CTX 655 74.2 0.2 25.6 557 71.1 0.0 28.9 ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND 32 43.8 0.0 56.2 ND ND ND ND
CAZ 1266 62.6 1.6 35.8 907 67.4 0.7 31.9 ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND 48 27.1 2.1 70.8 ND ND ND ND
FEP 2263 56 2.4 41.6 1380 58.5 2.8 38.7 80 6.2 0.0 93.8 509 5.7 3.7 90.6 55 13 0.0 87 217 2.8 3.7 93.5 79 25.3 1.3 73.4 22 0.0 0.0 100
ATM 389 58.4 0.0 41.6 225 58.2 0.0 41.8 15 0.0 0.0 100 84 23.8 0.0 76.2 ND ND ND ND 27 3.7 0 96.3 ND ND ND ND ND ND ND ND
MEM 2320 3.5 0.2 96.3 1382 9.8 0.4 89.8 80 0.0 0.0 100 501 3.4 0.2 96.4 54 3.7 0.0 96 210 5.7 0.5 93.8 81 1.2 0 98.8 ND ND ND ND
IPM 1587 3 0.7 96.3 816 12 0.1 87.9 52 0.0 7.7 92.3 293 4.1 4.1 91.8 35 2.9 11 86 46 8.7 8.7 82.6 23 56.5 34.8 8.7 10 10 0 90
SAM 1636 49.9 23.2 26.9 1092 62 4.2 33.8 ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND 58 19 0 81 ND ND ND ND
AMC 395 27.1 13.4 59.5 203 34 14.8 51.2 ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND
TZP 1722 12.4 5.7 81.9 906 20.1 11.4 68.5 63 30.2 6.3 63.5 329 14.6 3.3 82.1 39 5.1 5.1 90 44 6.8 6.8 86.4 47 0.0 2.1 97.9 19 0.0 0.0 100
AMK 1187 3.5 0.3 96.2 965 8.1 1.1 90.8 53 1.9 0.0 98.1 367 4.1 0.3 95.6 39 5.1 0.0 95 151 9.9 0.7 89.4 46 2.2 4.3 93.5 ND ND ND ND
GEN 2346 39.9 1.2 58.9 1406 45.5 2.3 52.2 80 5 0.0 95 512 7.8 0.2 92 56 14 0.0 86 217 1.4 0.0 98.6 82 13.4 19.5 67.1 23 21.7 13 65.2
TOB 198 39.4 15.7 44.9 199 54.8 8 37.2 14 0.0 0.0 100 58 12.1 1.7 86.2 ND ND ND ND 20 0.0 0.0 100 ND ND ND ND ND ND ND ND
CIP 2358 64 2.2 33.8 1395 25.3 17.1 57.6 80 3.8 2.5 93.7 510 5.1 2 92.9 55 9.1 3.6 87 217 1.4 0.9 97.7 81 35.8 3.7 60.5 23 30.4 13 56.5
LVX 735 57.8 0.8 41.4 347 11.2 2.3 86.5 19 0.0 0.0 100 134 3.7 1.5 94.8 20 15 0.0 85 41 2.4 4.9 92.7 12 16.7 16.7 66.6 ND ND ND ND
SXT 1596 62.3 0.1 37.6 979 59.8 0.0 40.2 47 4.3 0.0 95.7 361 15.5 0.0 84.5 41 27 0.0 73 169 8.9 0.0 91.1 54 40.7 0.0 59.3 14 57.1 0.0 42.9
Salmonella spp. S. Typhi A. baumannii P. aeruginosa S. maltophilia B. cepacia
Antibiotic n %R %I %S n %R %I %S n %R %I %S n %R %I %S n %R %I %S n %R %I %S
AMP 70 32.9 0.0 67.1 65 0 0 100 ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND
FOX ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND
CXM ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND
CTX 23 4.3 0.0 95.7 63 0.0 0.0 100 ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND
CAZ 69 1.4 0.0 98.6 69 0.0 0.0 100 557 74.7 3.9 21.4 ND ND ND ND ND ND ND ND 42 0.0 11.9 88.1
FEP 64 0.0 4.7 95.3 66 0.0 0.0 100 642 71.8 0.9 27.3 906 21.3 5.7 73 ND ND ND ND ND ND ND ND
ATM ND ND ND ND ND ND ND ND ND ND ND ND 109 21.1 2.8 76.1 ND ND ND ND ND ND ND ND
MEM ND ND ND ND ND ND ND ND 729 72.6 0.4 27 893 30 5.4 64.6 ND ND ND ND 60 5.0 1.7 93.3
IPM ND ND ND ND ND ND ND ND 386 79.5 0.3 20.2 590 36.1 1.7 62.2 ND ND ND ND ND ND ND ND
SAM ND ND ND ND ND ND ND ND 663 59.9 13.6 26.5 ND ND ND ND ND ND ND ND ND ND ND ND
TZP ND ND ND ND ND ND ND ND 455 84.8 0.4 14.8 642 22.6 9 68.4 ND ND ND ND ND ND ND ND
AMK ND ND ND ND ND ND ND ND 125 58.4 9.6 32 576 13.7 3.5 82.8 ND ND ND ND ND ND ND ND
GEN ND ND ND ND ND ND ND ND 736 55.8 11.3 32.9 900 15.1 5 79.9 ND ND ND ND ND ND ND ND
TOB ND ND ND ND ND ND ND ND 118 69.5 11 19.5 80 25 0.0 75 ND ND ND ND ND ND ND ND
CIP 88 11.4 9.1 31.8 65 11 0 91 730 73.4 0.1 26.5 ND ND ND ND ND ND ND ND ND ND ND ND
LVX ND ND ND ND ND ND ND ND 146 62.3 1.4 36.3 ND ND ND ND 110 3.6 6.4 90 ND ND ND ND
SXT 70 25.7 0.0 74.3 65 0.0 0.0 100 441 63.3 0.0 36.7 ND ND ND ND 313 9.3 0.3 90.4 39 20.5 0.0 79.5
DOI: 10.7717/peerj.14411/table-1

Notes:

AMP

ampicillin

FOX

cefoxitin

CXM

cefuroxime

CTX

cefotaxime

CAZ

ceftazidime

FEP

cefepime

ATM

aztreonam

MEM

meropenem

IPM

imipenem

SAM

ampicillin/sulbactam

TZP

piperacillin/tazobactam

AMK

amikacin

GEN

gentamicin

TOB

tobramycin

CIP

ciprofloxacin

LVX

levofloxacin

SXT

trimethoprim-sulfamethoxazole

ND

not determined

A high susceptibility was observed for Salmonella enterica serovar Typhi (S. Typhi) strains, with resistance detected for ciprofloxacin (11%). Concerning non-fermenters, more than 60% of A. baumannii were resistant to most antibiotics tested; the highest resistance observed in P. aeruginosa was for imipenem (36.1%). In B. cepacia, the lowest resistance rate was detected for ceftazidime (0%) (Table 1B).

Among gram-positive isolates, almost 30% of S. aureus strains were methicillin-resistant, and 19% of E. faecium were vancomycin-resistant. Results from more than 50 strains were obtained for S. pneumoniae, with the highest percentage of resistance detected for trimethoprim-sulfamethoxazole (42.1%; Table 2). Compared with the BMD method, similar resistance percentages were observed for levofloxacin, erythromycin, and vancomycin. However, values observed for chloramphenicol and trimethoprim/sulfamethoxazole were higher using the BMD method than routine, conventional methods. There was a discrepancy in resistance to penicillin and cefotaxime that could not be explained; perhaps it is associated with a limited number of strains with conventional routine methods.

Table 2:
Distribution of resistant (R), intermediate (I), and susceptible (S) gram-positive isolates from blood samples of patients in Mexico.
S. aureus S. epidermidis E. faecalis E. faecium S. pneumoniaea S. pneumoniaeb Streptococcus spp. viridans group
Antibiotic n %R %I %S n %R %I %S n %R %I %S n %R %I %S n %R %I %S n %R %I %S n %R %I %S
PEN 353 90.4 0.0 9.6 576 94.8 0.0 5.2 127 15.7 0.0 84.3 55 78.2 0.0 21.8 13 23.1 30.8 46.2 49 12.2 14.3 73.5 26 3.8 7.7 88.5
AMP ND ND ND ND ND ND ND ND 589 1.5 0.0 98.5 247 64 0.0 36 ND ND ND ND ND ND ND ND 25 8 0.0 92
OXA 1250 27.1 0.0 72.9 2899 82.7 0.0 17.3 ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND
FOX 656 29.9 0.0 70.1 1980 85.5 0.0 14.5 ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND
CTX ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND 27 14.8 3.7 81.5 49 16.3 20.4 63.3 ND ND ND ND
FEP ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND 26 3.8 0 96.2
CIP 1222 26.8 1.1 72.1 2910 61.8 4.4 33.8 526 31.9 4 64.1 220 47.7 20.5 31.8 ND ND ND ND ND ND ND ND ND ND ND ND
LVX 903 25.9 0.7 73.4 2399 67.5 0.5 32 461 28.9 0.4 70.7 187 44.4 11.2 44.4 58 1.7 1.7 96.6 49 2.0 2.0 96.0 ND ND ND ND
ERY 1260 32.1 0.7 67.2 2852 80.8 0.6 18.7 539 59 28.4 12.6 220 76.8 19.5 3.6 55 34.5 0 65.5 49 44.9 0.0 55.1 ND ND ND ND
CLI 1230 31.3 0.2 68.5 2790 72.1 0.7 27.2 ND ND ND ND ND ND ND ND 56 23.2 10.7 66.1 ND ND ND ND ND ND ND ND
TET 977 3.2 0.1 96.7 2393 11.9 0.3 87.8 438 75.3 0 24.7 170 61.8 0 38.2 51 23.5 9.8 66.7 ND ND ND ND ND ND ND ND
GEN 1224 8.9 3 88.1 2932 41.4 11.6 47 ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND
SXT 1286 4.1 0.0 95.9 2926 57.2 0.0 42.8 ND ND ND ND ND ND ND ND 57 42.1 8.8 49.1 49 57.1 14.3 28.6 ND ND ND ND
LZD 1255 0.2 0.0 99.8 2815 4.6 0.0 95.4 584 3.4 4.3 92.3 242 2.9 1.2 95.9 36 0.0 0.0 100 ND ND ND ND ND ND ND ND
RIF 809 3.2 0.1 96.7 2211 10.8 0.0 1.4 ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND
CHL ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND 29 6.9 0.0 93.1 49 36.7 0.0 63.3 ND ND ND ND
VAN 1285 0.0 0.0 100 3002 0.0 0.0 100 588 2 0.0 98 247 19 0.0 81 58 0.0 0.0 100 49 0.0 0.0 100.0 26 0.0 0.0 100
DOI: 10.7717/peerj.14411/table-2

Notes:

PEN

penicillin

AMP

ampicillin

OXA

oxacillin

FOX

cefoxitin

CTX

cefotaxime

FEP

cefepime

CIP

ciprofloxacin

LVX

levofloxacin

ERY

erythromycin

CLI

clindamycin

TET

tetracycline

GEN

gentamicin

SXT

trimethoprim-sulfamethoxazole

LZD

linezolid

RIF

rifampicin

CHL

chloramphenicol

VAN

vancomycin

ND

not determined

Data from isolates analyzed using the conventional routine methods.
Data from isolates analyzed using the broth microdilution method.

Drug resistance of pathogens from cerebrospinal fluid

For pathogens recovered from CSF, carbapenem resistance was as high as 71.4% in A. baumannii. Resistance rates higher than 44% for gentamicin and 61% for cephalosporins were detected in E. coli and K. pneumoniae. E. coli exhibited more than 60% resistance to quinolones. In A. baumannii, the resistance rates of most evaluated antibiotics were higher than 60% (Table 3). Among E. coli (n = 91), 86.9% showed to be extended-spectrum beta-lactamase producers; among K. pneumoniae (n = 39), 71.8%. Among gram-positive isolates, 44.4% of S. aureus showed resistance to methicillin, and 36.4% of E. faecium were resistant to vancomycin (Table 4).

Table 3:
Distribution of resistant (R), intermediate (I), and susceptible (S) gram-negative isolates from the cerebrospinal fluid of patients in Mexico.
E. coli K. pneumoniae S. marcescens E. cloacae P. aeruginosa A. baumannii
Antibiotic n %R %I %S n %R %I %S n %R %I %S n %R %I %S n %R %I %S n %R %I %S
AMP 112 94.6 0.0 5.4 ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND
FOX 24 66.7 0.0 33.3 14 21.4 7.1 71.5 ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND
CXM 63 81 0.0 19 50 80 0.0 20 ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND
CTX 60 78.3 0.0 21.7 37 75.7 0.0 24.3 ND ND ND ND ND ND ND ND ND ND ND ND 17 88.2 0.0 11.8
CAZ 76 75 0.0 25 48 75 0.0 25 ND ND ND ND ND ND ND ND 49 6.1 6.1 87.8 34 85.3 0.0 14.7
FEP 131 74 6.1 19.9 68 61.8 14.7 23.5 35 0.0 0.0 100 16 0 6.2 93.8 73 6.8 16.4 76.8 54 72.2 9.3 18.5
ATM 42 95.2 0.0 4.8 17 88.2 0.0 11.8 21 66.7 0.0 33.3 ND ND ND ND 10 30 0 70 ND ND ND ND
MEM 124 1.6 0.0 98.4 61 4.9 1.6 93.5 25 0.0 4 96 16 0 0 100 67 31.3 16.4 52.3 49 71.4 2 26.6
IPM 49 2 0.0 98 33 6.1 0.0 93.9 25 8 16 76 ND ND ND ND 43 55.8 9.3 34.9 30 56.7 6.7 36.6
SAM 116 63.8 19.8 16.4 52 73.1 1.9 25 ND ND ND ND ND ND ND ND ND ND ND ND 50 50 16 34
AMC 17 52.9 17.6 29.5 17 58.8 5.9 35.3 ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND
TZP 78 3.8 6.4 89.8 34 8.8 29.4 61.8 25 56 0.0 44 ND ND ND ND 53 9.4 7.5 83.1 37 62.2 2.7 35.1
AMK 105 1.9 0.0 98.1 49 14.3 0.0 85.7 13 0.0 0.0 100 11 0.0 0.0 100 55 7.3 5.5 87.2 ND ND ND ND
GEN 131 49.6 1.5 48.9 69 44.9 0.0 55.1 35 5.7 5.7 88.6 16 6.2 0.0 93.8 72 5.6 22.2 72.2 54 68.5 9.3 22.2
TOB 38 34.2 52.6 13.2 ND ND ND ND ND ND ND ND ND ND ND ND 10 0.0 0.0 100 ND ND ND ND
CIP 119 71.4 0.0 28.6 55 29.1 5.5 65.4 15 0.0 0.0 100 15 0.0 0.0 100 61 3.3 8.2 88.5 43 83.7 0 16.3
LVX 23 60.9 0.0 39.1 14 7.1 0.0 92.9 ND ND ND ND ND ND ND ND 10 0 40 60 ND ND ND ND
SXT 116 58.6 0.0 41.4 64 59.4 0.0 40.6 30 6.7 0.0 93.3 12 8.3 0.0 91.7 ND ND ND ND 36 61.1 0.0 38.9
DOI: 10.7717/peerj.14411/table-3

Notes:

AMP

ampicillin

FOX

cefoxitin

CXM

cefuroxime

CTX

cefotaxime

CAZ

ceftazidime

FEP

cefepime

ATM

aztreonam

MEM

meropenem

IPM

imipenem

SAM

ampicillin/sulbactam

AMC

amoxicillin/clavulanate

TZP

piperacillin/tazobactam

AMK

amikacin

GEN

gentamicin

TOB

tobramycin

CIP

ciprofloxacin

LVX

levofloxacin

SXT

trimethoprim-sulfamethoxazole

ND

not determined

Table 4:
Distribution of resistant (R), intermediate (I), and susceptible (S) gram-positive isolates from the cerebrospinal fluid of patients in Mexico.
S. aureus S. epidermidis E. faecium E. faecalis
Antibiotic n %R %I %S n %R %I %S n %R %I %S n %R %I %S
PEN 19 73.7 0.0 26.3 ND ND ND ND ND ND ND ND ND ND ND ND
AMP 16 81.2 0.0 18.8 ND ND ND ND 11 63.6 0.0 36.4 22 0.0 0.0 100
OXA 68 35.3 0.0 64.7 224 75 0.0 25 ND ND ND ND ND ND ND ND
FOX 45 44.4 0.0 55.6 139 77.7 0.0 22.3 ND ND ND ND ND ND ND ND
CIP 59 32.2 3.4 64.4 219 43.8 8.2 48 10 60 10 30 15 26.7 6.7 66.6
LVX 49 34.7 0.0 65.3 187 50.3 0.0 49.7 ND ND ND ND 15 26.7 0 73.3
ERY 60 43.3 0.0 56.7 208 70.2 1 28.8 10 90 0.0 10 15 33.3 46.7 20
CLI 59 47.5 0.0 52.5 208 53.4 1 45.6 ND ND ND ND ND ND ND ND
TET 49 2 0.0 98 187 9.1 0.5 90.4 ND ND ND ND 15 73.3 0.0 26.7
GEN 63 11.1 3.2 85.7 232 33.6 11.6 54.8 ND ND ND ND ND ND ND ND
SXT 65 0 0.0 100 233 42.9 0.0 57.1 ND ND ND ND ND ND ND ND
RIF 56 7.1 0.0 92.9 168 10.7 0.6 88.7 ND ND ND ND ND ND ND ND
LZD 66 0.0 0.0 100 214 3.7 0.0 96.3 11 0.0 0.0 100 28 3.6 3.6 92.8
VAN 70 0.0 0.0 100 224 0.4 0.4 99.2 11 36.4 0.0 63.6 29 3.4 13.8 82.8
DOI: 10.7717/peerj.14411/table-4

Notes:

PEN

penicillin

AMP

ampicillin

OXA

oxacillin

FOX

cefoxitin

CIP

ciprofloxacin

LVX

levofloxacin

ERY

erythromycin

CLI

clindamycin

TET

tetracycline

GEN

gentamicin

SXT

trimethoprim-sulfamethoxazole

RIF

rifampicin

LZD

linezolid

VAN

vancomycin

ND

not determined

Drug resistance of pathogens from pleural fluid

For pathogens recovered from pleural fluid, among gram-negative isolates, carbapenem resistance was as high as 96.3% in A. baumannii. Levofloxacin resistance was as high as 100% in A. baumannii and 87% in E. coli (Table 5). Resistance to third-generation cephalosporins was more than 68% in E. coli and K. pneumoniae. Moreover, 54% of E. coli (n = 85) and 60% of K. pneumoniae (n = 45) were shown to be extended-spectrum beta-lactamase producers. Among gram-positive isolates, methicillin resistance for S. aureus was almost 35%, and vancomycin resistance for E. faecium was 27.6% (Table 6).

Table 5:
Distribution of resistant (R), intermediate (I), and susceptible (S) gram-negative isolates from pleural fluid of patients in Mexico.
E. coli K. pneumoniae E. cloacae P. mirabilis A. baumannii P. aeruginosa
Antibiotic n %R %I %S n %R %I %S n %R %I %S n %R %I %S n %R %I %S n %R %I %S
AMP 94 86 1.1 12.8 ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND
FOX 35 40 2.9 57.1 10 20 0.0 80 ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND
CXM 67 76 0.0 23.9 34 82 0.0 72 ND ND ND ND 10 60 0.0 40 ND ND ND ND ND ND ND ND
CTX 66 76 0.0 24.2 33 82 0.0 41 ND ND ND ND 10 60 0.0 40 27 33.3 18.5 48.2 ND ND ND ND
CAZ 95 76 1.1 23.2 45 69 0.0 31 ND ND ND ND 11 54.5 0.0 45.5 52 59.6 7.7 32.7 81 18.5 7.4 74.1
FEP 125 66 0.8 32.8 58 62 0.0 38 44 20.5 6.8 72.7 13 46.2 0.0 53.8 58 63.8 1.7 34.5 98 21.4 6.1 72.5
MEM 125 4 0.0 96 59 12 0.0 49 44 11.4 0.0 88.6 13 0.0 0.0 100 58 56.9 5.2 37.9 97 39.2 11.3 49.5
IPM 57 7 1.8 91.2 20 5 0.0 46 12 0 0.0 100 ND ND ND ND 27 96.3 3.7 0.0 41 68.3 2.4 29.3
SAM 113 62 16 22.2 53 72 0.0 28 ND ND ND ND 13 15.4 7.7 76.9 56 55.4 8.9 35.7 ND ND ND ND
TZP 62 18 4.8 77.5 25 8 20 20 13 23.1 15.4 61.5 ND ND ND ND 31 100 0.0 0.0 40 20 12.5 67.5
AMK 100 0 0 100 50 10 2 88 37 18.9 2.7 78.4 12 8.3 25 66.7 11 90.9 0.0 9.1 83 16.9 2.4 80.7
GEN 126 40 0.8 59.5 59 54 0.0 88 44 11.4 4.5 84.1 13 7.7 53.8 38.5 59 57.6 8.5 33.9 97 20.6 3.1 76.3
CIP 125 66 2.4 31.2 59 37 22 40.7 42 23.8 0.0 76.2 13 38.5 15.4 46.2 58 67.2 0.0 32.8 97 24.7 6.2 69.1
LVX 23 87 0.0 13 ND ND ND ND ND ND ND ND ND ND ND ND 11 100 0.0 0.0 13 30.8 7.7 61.5
TGC 16 0.0 0.0 100 ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND ND
SXT 95 60 0.0 40 45 78 0 18 36 27.8 0.0 72.2 11 72.7 0 27.3 40 52.5 0.0 47.5 ND ND ND ND
DOI: 10.7717/peerj.14411/table-5

Notes:

AMP

ampicillin

FOX

cefoxitin

CXM

cefuroxime

CTX

cefotaxime

CAZ

ceftazidime

FEP

cefepime

MEM

meropenem

IPM

imipenem

SAM

ampicillin/sulbactam

TZP

piperacillin/tazobactam

AMK

amikacin

GEN

gentamicin

CIP

ciprofloxacin

LVX

levofloxacin

TGC

tigecycline

SXT

trimethoprim-sulfamethoxazole

ND

not determined

Table 6:
Distribution of resistant (R), intermediate (I), and susceptible (S) gram-positive isolates from pleural fluid of patients in Mexico.
S. aureus E. faecalis E. faecium
Antibiotic n %R %I %S n %R %I %S n %R %I %S
PEN 18 94.4 0.0 5.6 17 5.9 0.0 94.1 ND ND ND ND
AMP 14 92.9 0.0 7.1 60 0 0.0 100 29 86.2 0 13.8
OXA 105 31.4 0.0 68.6 ND ND ND ND ND ND ND ND
FOX 75 34.7 0.0 65.3 13 100 0.0 0.0 ND ND ND ND
CIP 105 30.5 1 68.6 59 37.3 6.8 55.9 29 51.7 27.6 20.7
LVX 88 31.8 0 68.2 44 34.1 0.0 65.9 24 45.8 4.2 50
ERY 105 37.1 1.9 61 59 57.6 32.2 10.2 29 96.6 3.4 0.0
CLI 105 34.3 0.0 65.7 15 100 0.0 0 ND ND ND ND
TET 90 8.9 0.0 91.1 45 73.3 0.0 26.7 23 52.2 0.0 47.8
GEN 105 12.4 5.7 81.9 13 100 0.0 0.0 ND ND ND ND
SXT 106 2.8 0.0 97.2 14 92.9 0.0 7.1 ND ND ND ND
RIF 83 2.4 0.0 97.6 ND ND ND ND ND ND ND ND
LZD 107 1.9 0.0 98.1 60 0.0 3.3 96.7 28 0.0 0.0 100
TGC 12 0 0.0 100 11 0.0 0.0 100 9 0.0 0.0 100
VAN 105 1.9 0.0 98.1 59 3.4 0.0 96.6 29 27.6 0.0 72.4
CHL ND ND ND ND 13 15.4 0.0 84.6 ND ND ND ND
DOI: 10.7717/peerj.14411/table-6

Notes:

PEN

penicillin

AMP

ampicillin

OXA

oxacillin

FOX

cefoxitin

CIP

ciprofloxacin

LVX

levofloxacin

ERY

erythromycin

CLI

clindamycin

TET

tetracycline

GEN

gentamicin

SXT

trimethoprim-sulfamethoxazole

RIF

rifampicin

LZD

linezolid

TGC

tigecycline

VAN

vancomycin

CHL

chloramphenicol

ND

not determined

Discussion

In the present study, most bacterial species detected were gram-negative (when no S. epidermidis was included), with E. coli being the most frequent bacterial species detected in blood, CSF, and pleural fluid.

Regarding blood cultures, our results are similar to those reported in an Austrian study from 2006 to 2015 in which E. coli was the most common isolated pathogen (n = 2,869), followed by S. aureus (n = 1,439), Enterococcus spp. (n = 953), and Klebsiella spp. (n = 816) (Kreidl et al., 2019). Furthermore, a study in a seven-year North American study in which 24,179 cases of bloodstream infections were included, the most common organisms were coagulase-negative staphylococci (31% of isolates), followed by S. aureus (20%) and Enterococci (9%) (Wisplinghoff et al., 2004).

In our study, the most frequent species was E. coli (when no S. epidermidis was considered). It has been reported that this bacterial species is responsible for 48 per 100,000 person-years cases of bacteremia, increasing to 100 per 100,000 person-years in the 55–75 age group and over 300 per 100,000 person-years in the 75–85 age group (Bonten et al., 2021). These data underline the relevance of this bacterial species.

Commercial products dominate antimicrobial susceptibility testing methods in hospital laboratories, with relatively high accuracy. These methods have become better suited to fastidious species like S. pneumoniae, for which the need for red blood cells complicates the use of BMD. Compared with the BMD method, the proportion of penicillin-resistant S. pneumoniae was reported more frequently when routine, conventional methods were used. This was not observed for levofloxacin, erythromycin, trimethoprim-sulfamethoxazole, and vancomycin. A slight decrease in penicillin and cefotaxime resistance was observed in this study period compared to the previous decade, 2009–2018 (Garza-González et al., 2020), which might explain the continued use of pneumococcal conjugate vaccines since 2008. An increase in erythromycin resistance was observed, and a further increase is likely to be expected shortly, considering the use of azithromycin as an inflammatory aid in COVID-19 patients.

In blood cultures, the possibility of contamination must always be considered in interpreting positive results because microbes that are not in the bloodstream may be introduced into the bottle during blood collection (Gonsalves et al., 2009). Contamination is often due to organisms that can be part of the skin microbiota, such as S. epidermidis. In our study, the most frequent species detected was S. epidermidis, and according to our results, contamination seems excessive and points to the need for improving blood intake procedures. However, other pathogens detected in this study are not frequently observed in the skin (e.g., E. coli, K. pneumoniae. E. cloacae, S. marcescens, K. aerogenes, and P. mirabilis). Thus, they are most probably from the clinical specimen. A small sample volume is associated with difficulties in maintaining sterile conditions due to poor venous access (Gonsalves et al., 2009; Bekeris et al., 2005); thus, the contamination rate inversely correlates with blood volume (Gonsalves et al., 2009; Bekeris et al., 2005). Additionally, venipuncture, arterial access, or central venous access are associated with different contamination rates: 36%, 10%, and 7%, respectively (Gonsalves et al., 2009). Our study has no such data to verify these values, but laboratories followed the manufacturer’s recommendations regarding volume in general.

In this study, the drug resistance of pathogens from blood was similar to our previous reports (Garza-González et al., 2021; Garza-González et al., 2020; Garza-González et al., 2019). This study added data on drug susceptibility for Citrobacter freundii, Serratia marcescens, Proteus mirabilis, Morganella morganii, and Burkholderia cepacia, for which limited information is available in Mexico.

Regarding S. Typhi, the widespread use of fluoroquinolones has led to the emergence of decreased ciprofloxacin susceptibility. Our previous report, with only 10 clinical isolates included, showed 20% resistance (Garza-González et al., 2019). This work detected an 11% resistance (with 88 clinical isolates included).

Regarding the B. cepacia, trimethoprim-sulfamethoxazole remains a recommended first-line therapy (Avgeri et al., 2009). Our report detected 20.5% resistance for this drug; another first-line therapy, meropenem, showed a resistance of 5%. The primary alternative therapeutic agents beyond trimethoprim-sulfamethoxazole include ceftazidime and meropenem (Avgeri et al., 2009). This study showed that the high susceptibility to ceftazidime (0% resistance, at least in vitro) renders this antibiotic a good alternative in the studied populations.

The bacterial pathogens detected in CSF are various according to age. Between 16 and 50 years, Neisseria meningitidis and S. pneumoniae are frequently reported. In those over 50 years, Listeria monocytogenes and aerobic gram-negative bacilli are encountered (van deBeek et al., 2016). Furthermore, in immunocompromised individuals over 50 years of age, aerobic gram-negative bacilli and Salmonella spp. are frequently found (van deBeek et al., 2016). Other gram-negative bacteria and P. aeruginosa are pathogens found after neurosurgery or head trauma (Tunkel et al., 2017). Regardless of age, the most frequent causative agents isolated from CSF have been reported to be gram-negative bacteria, with A. baumannii, K. pneumoniae, and E. coli as the most frequently recovered species (Hu et al., 2019). In our study, similar results were observed, with E. coli being the most prevalent, if we omitted S. epidermidis.

S. epidermidis may have relevance in patients with hydrocephalus controlled by diverting or shunting the fluid around the obstruction and into a suitable body cavity. Shunts may be colonized primarily by skin organisms, with S. epidermidis being the most common cause of shunt colonization (Yakut et al., 2018; Bayston, 1989). In our population, S. epidermidis was the most frequent bacterial species detected. Whether this organism was associated with shunt infections needs further exploration.

In China, 244,843 strains from 44 teaching hospitals were analyzed in 2018 (14.8% from blood and 1.3% from CSF). In CSF only, 64.1% of K. pneumoniae and 60% of P. aeruginosa were resistant to carbapenem (29). Fortunately, we detected much lower percentages of resistance (4.9% and 31.3%). These data support the need to monitor drug resistance in specific populations.

Aerobic organisms are most implicated in pleural infection. When all populations are considered, streptococcal species are the primary cause at approximately 60%, followed by staphylococcal species and Enterococcus (Davies et al., 2010). The gram-negative aerobes cause about 15% and anaerobes nearly 14% of identified pathogens (Davies et al., 2010).

When causative agents are stratified, causative agents vary considerably by the site of acquisition, age, or comorbidities. For example, 50% of cases of community-acquired empyema are due to streptococci, and the remainder is due to staphylococci, anaerobes, and gram-negative bacilli (Maskell et al., 2005). However, in hospital-acquired empyema (associated with hospital-acquired pneumonia) or iatrogenic causes, staphylococci, gram-negative bacilli, Enterococcus species, and cefoxitin-resistant S. aureus are the most frequently implicated organisms. In pediatric patients, the most frequent isolate in pleural fluids reported is S. pneumoniae (up to 48%), followed by group A Streptococcus, S. aureus. In patients with comorbidities, especially diabetes or alcoholism, gram-negative bacteria are the most frequent (Maskell et al., 2005). In our study, E. coli and S. aureus were most frequently detected, with a significant role of P. aeruginosa as the causative agent. Unfortunately, we have no data on the comorbidities associated with these infections.

The selection of appropriate empiric therapy results in better outcomes in severe infections occurring in sterile fluids, i.e., blood, cerebrospinal and pleural fluids. The prevalent, most frequently isolated antibiotic-resistant pathogens in every hospital should guide the initial therapy selection. Also helpful is the knowledge of previous experiences of discordant therapy in bacteremia caused by frequent resistant pathogens like S. aureus or Enterobacteriaceae. Adjustments should be made according to the report on cultures and susceptibility (Kadri et al., 2018; Kadri et al., 2021). The results from this and other studies from the INVIFAR network will help in selecting the appropriate empiric therapy.

Part of the isolates was reported in a previous manuscript of the network, specifically, those collected from the second semester of 2019 and the second semester of 2020 (López-Jácome et al., 2021), exclusively from the centers that participated in both studies and from blood isolates.

In this study, each laboratory identified the strains and tested their susceptibilities using routine, conventional methods, including commercial microdilution systems. Each system has advantages and limitations, and the results vary widely by antimicrobial drugs, software versions, and cards used (Gajic et al., 2022).

Some studies have evaluated the performance of these instruments. For example, a multicenter evaluation showed that categorical agreement between the Phoenix system and the broth microdilution method for 2013 streptococcal isolates, including S. pneumoniae, ranged from 92% to 100% (Richter et al., 2007). Furthermore, the performance of the Phoenix, Vitek 2, and the MicroScan have been compared with the microdilution broth reference method for 311 clinical isolates of S. pneumoniae, and the overall essential agreement between each test was >95% (Mittman et al., 2009). Additionally, 109 S. maltophilia bloodstream isolates were analyzed, and very major errors were >.3% for trimethoprim-sulfamethoxazole (MicroScan, Phoenix), levofloxacin (MicroScan), and ceftazidime (all systems).

Limitations of this retrospective study are worth noting. First, we were unable to collect complete data on the age of the patients. Second, no clinical data were available to support the indication of the study or the relevance of the clinical isolate. Third, our results represent the combined data of general, mother and child, specialty hospitals, and other centers; thus, each hospital needs to address its results. Fourth, not all antibiotics were available from all centers; thus, some antibiotics are not included, such as levofloxacin for P. aeruginosa. Fifth, different methodologies were used for the detection of antibiotic susceptibility.

Conclusions

The results presented in this article represent the consolidated analysis of isolates from 45 centers. S. epidermidis was the most frequently recovered bacterial species from blood and CSF. Whether these isolates represent contamination or are associated with infection remains unclear. Gram-negative bacteria, with E. coli most prevalent, are frequently recovered from CSF, blood, and pleural fluid. In S. pneumoniae, the routine, conventional methods can help detect resistance percentages for levofloxacin, cefotaxime, and vancomycin.

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