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Research Article | Volume 13 Issue:3 (, 2023) | Pages 2379 - 2384
Correlation of C-reactive Protein Levels with Bacterial Isolates and Antibiotic Resistance in Bloodstream Infections
 ,
 ,
 ,
 ,
1
Associate Professor, Department of Biochemistry, Dr Somervell Memorial CSI Medical College Hospital, Karakonam
2
Assistant Professor, Department of Microbiology, Mount Zion Medical College
3
Assistant Professor, Department of Microbiology Mount Zion Medical College.
4
QA/QC Manager/Operations Manager, Themar Al Emarat, Sharjah
5
Microbiologist.
Under a Creative Commons license
Open Access
Received
July 10, 2023
Revised
July 19, 2023
Accepted
Aug. 2, 2023
Published
Aug. 28, 2023
Abstract

Introduction: Bloodstream infections (BSIs) are a significant cause of morbidity and mortality in hospitalized patients. Early diagnosis and timely initiation of appropriate antimicrobial therapy are essential for reducing complications. C-reactive protein (CRP), an acute-phase reactant, is commonly used as a biomarker of systemic inflammation. While CRP levels rise in bacterial infections, their correlation with specific bacterial isolates and patterns of antibiotic resistance in BSIs remains inadequately explored in Indian clinical settings. This study seeks to investigate the potential of CRP levels as a supportive diagnostic marker for bacterial isolates and their resistance profiles in patients with BSIs. Objective: To evaluate the correlation between CRP levels, type of bacterial isolates, and associated antibiotic resistance patterns in patients with bloodstream infections. Methods: This hospital-based, cross-sectional observational study was conducted over a period of 18 months (January 2022 to June 2023) at a tertiary care hospital in India. A total of 130 patients with clinically and microbiologically confirmed bloodstream infections were included. Blood samples were collected for CRP estimation by immunoturbidimetric assay and for culture using standard microbiological techniques. Isolated organisms were identified by biochemical and automated methods, and their antibiotic susceptibility profiles were determined according to CLSI guidelines. Correlations between CRP levels, types of isolates (Gram-positive vs. Gram-negative), and resistance patterns (MDR, ESBL, MRSA) were statistically analyzed. Result: Among the 130 BSI patients, Gram-negative organisms accounted for 62.3% of isolates, with Escherichia coli and Klebsiella pneumoniae being predominant. Gram-positive organisms included Staphylococcus aureus and Enterococcus species. The mean CRP level was significantly higher in patients with Gram-negative sepsis (mean 164.8 ± 38.4 mg/L) compared to Gram-positive infections (mean 108.3 ± 26.9 mg/L) (p < 0.001). Elevated CRP levels were also significantly associated with multidrug-resistant organisms and ESBL producers. MRSA infections were associated with moderately elevated CRP values. A positive correlation was observed between CRP concentration and bacterial virulence/resistance pattern. Conclusion: C-reactive protein levels correlate significantly with the type of bacterial isolate and its resistance profile in bloodstream infections. Elevated CRP may serve as an adjunctive marker for predicting severe Gram-negative sepsis and the likelihood of drug-resistant pathogens. Integrating CRP measurements with culture and sensitivity testing can enhance early risk stratification and guide empirical antimicrobial therapy in resource-limited settings

Keywords
INTRODUCTION

Bloodstream infections (BSIs) are among the most severe clinical conditions encountered in hospital settings, often resulting in prolonged hospitalization, increased healthcare costs, and significant morbidity and mortality. The global burden of BSIs has escalated with the emergence of multidrug-resistant (MDR) organisms, posing challenges for timely diagnosis and effective antimicrobial management[1]. Infections originating from various sources such as the lungs, urinary tract, gastrointestinal tract, or indwelling catheters can lead to bacteremia or septicemia, which if left untreated or improperly managed, can progress to septic shock and organ failure. This underscores the critical need for early diagnostic indicators that can aid in initiating prompt and targeted therapy before microbiological confirmation is available[2].

C-reactive protein (CRP) is a hepatic acute-phase reactant synthesized in response to cytokines, particularly interleukin-6 (IL-6), during systemic inflammatory responses. As a nonspecific marker, CRP has long been used to assess the severity and progression of infections, inflammation, and tissue injury. Elevated CRP levels are especially prominent in bacterial infections compared to viral or non-infectious inflammatory conditions. In the context of BSIs, CRP may offer valuable insight into the systemic inflammatory burden and the potential severity of infection[3]. However, its utility as a correlate for specific bacterial isolates and their resistance profiles remains a subject of ongoing investigation.

India, like many low- and middle-income countries, faces a dual burden of increasing antibiotic resistance and limited access to rapid molecular diagnostics. In such resource-constrained environments, reliance on traditional biomarkers like CRP becomes even more significant[4]. Identifying a reliable association between CRP levels and bacterial isolate characteristics could assist clinicians in anticipating the nature of the pathogen Gram-positive vs. Gram-negative as well as its potential resistance mechanisms such as extended-spectrum beta-lactamase (ESBL) production or methicillin resistance (MRSA). This could, in turn, improve empirical antibiotic choices before blood culture results become available[5].

The growing threat of antimicrobial resistance, including ESBL-producing Enterobacteriaceae, carbapenem-resistant organisms, and MRSA, further amplifies the urgency of utilizing accessible diagnostic tools to support early clinical decisions[6]. While several studies have examined CRP levels in sepsis and systemic infections, few have attempted to directly correlate quantitative CRP values with microbiological outcomes in BSIs, particularly in the Indian population. Furthermore, existing literature lacks consensus on whether CRP levels significantly differ among different classes of pathogens and resistant phenotypes[7].

This study was thus designed to evaluate the relationship between CRP levels and the type of bacterial pathogen isolated in patients with bloodstream infections. In addition, the study investigates whether CRP can serve as an indirect marker of antimicrobial resistance, thereby aiding in early prediction of infection severity and potential treatment failure. The findings are expected to bridge a critical gap in the literature by correlating inflammatory biomarkers with microbiological profiles in BSIs, potentially contributing to better stratification of septic patients and optimized use of antibiotics in hospital settings

 

Aim and Objectives

Aim

To evaluate the correlation between serum C-reactive protein (CRP) levels, the type of bacterial isolates, and associated antibiotic resistance patterns in patients with bloodstream infections.

 

Objectives

  1. To measure serum CRP levels in patients with microbiologically confirmed bloodstream infections.
  2. To identify and characterize bacterial isolates obtained from blood cultures of these patients.
  3. To determine the antibiotic susceptibility profile of the isolated organisms with emphasis on multidrug resistance, ESBL, and MRSA.
  4. To correlate CRP levels with the type of bacterial pathogen (Gram-positive vs. Gram-negative).
  5. To assess the association between elevated CRP levels and the presence of antimicrobial resistance.
  6. To evaluate the potential role of CRP as a predictive marker for pathogen virulence and resistance in bloodstream infections.
MATERIALS AND METHODS

Study design

This was a hospital-based, cross-sectional observational study conducted to investigate the correlation between serum C-reactive protein levels and the microbiological characteristics of bacterial bloodstream infections.

 

Study setting and duration

The study was carried out in the Department of Microbiology and Biochemistry at a tertiary care hospital in India over a period of 18 months, from January 2022 to June 2023.

 

Sample size

A total of 130 patients with clinically suspected bloodstream infections and confirmed positive blood cultures were enrolled in the study.

 

Inclusion criteria

  • Patients aged ≥18 years with signs and symptoms of systemic infection.
  • Blood culture positivity for bacterial pathogens.
  • Availability of serum sample for CRP estimation at the time of diagnosis.

 

Exclusion criteria

  • Patients with viral, fungal, or parasitic bloodstream infections.
  • Patients with autoimmune diseases, malignancies, or other chronic inflammatory conditions.
  • Those receiving immunosuppressive therapy or corticosteroids.
  • Incomplete clinical or laboratory data.

 

Sample collection and processing

Venous blood samples were collected aseptically under sterile conditions before administration of antibiotics. A portion of the sample was sent for CRP estimation and another for blood culture. CRP levels were measured using an immunoturbidimetric assay on a fully automated analyzer following the manufacturer's protocol. The results were recorded in mg/L.

 

Microbiological analysis

Blood cultures were processed using automated systems (e.g., BacT/ALERT or BACTEC) and subcultured on appropriate media. Bacterial isolates were identified based on colony morphology, Gram staining, conventional biochemical reactions, and confirmed by automated identification systems. Antibiotic susceptibility testing was performed using the Kirby–Bauer disc diffusion method and interpreted according to the Clinical and Laboratory Standards Institute (CLSI) guidelines. The presence of multidrug resistance (MDR), extended-spectrum beta-lactamase (ESBL) production, and methicillin resistance (MRSA) was confirmed using standard phenotypic methods.

 

Data management and statistical analysis

Patient demographic details, clinical data, CRP values, culture results, and antibiotic sensitivity patterns were recorded in predesigned case record forms. Quantitative variables were expressed as mean ± standard deviation. Comparisons between CRP levels in Gram-positive and Gram-negative infections were analyzed using unpaired t-tests. Correlation between CRP values and antimicrobial resistance patterns was evaluated using Pearson’s correlation coefficient. A p-value of <0.05 was considered statistically significant. All analyses were performed using licensed statistical software.

 

Ethical considerations

The study protocol was approved by the Institutional Ethics Committee. Informed consent was obtained from all participants or their legal guardians prior to inclusion in the study. Patient confidentiality and anonymity were strictly maintained throughout the research process.

RESULTS

Overview

A total of 130 patients with microbiologically confirmed bloodstream infections were included in the study. Among these, 78 (60%) were male and 52 (40%) females, with a mean age of 51.4 ± 16.2 years. Gram-negative organisms were more frequently isolated compared to Gram-positive organisms. C-reactive protein (CRP) levels were elevated in all patients, with significantly higher levels in those infected with Gram-negative organisms and multidrug-resistant pathogens. The CRP levels demonstrated statistically significant correlations with the type of organism and antibiotic resistance profiles.

 

Table 1: Demographic Profile of Patients with Bloodstream Infections

Table 1 presents the age and sex distribution of patients enrolled in the study.

Demographic Variable

Value

Total patients

130

Males

78 (60.0%)

Females

52 (40.0%)

Mean age (years)

51.4 ± 16.2

Age range (years)

18 – 85

Patients across a wide age range were included, with a slight male predominance.

 

Table 2: Clinical Presentations in Patients with Bloodstream Infections

Table 2 summarizes the major presenting symptoms and signs in the study population.

Clinical Feature

Frequency (%)

Fever

122 (93.8%)

Hypotension

41 (31.5%)

Tachycardia

89 (68.5%)

Respiratory distress

34 (26.1%)

Altered sensorium

18 (13.8%)

Fever was the most common presenting complaint, seen in nearly all patients.

 

Table 3: Distribution of Bacterial Isolates

Table 3 shows the types and frequencies of bacterial isolates recovered from positive blood cultures.

Isolated Organism

Frequency (%)

Escherichia coli

38 (29.2%)

Klebsiella pneumoniae

28 (21.5%)

Staphylococcus aureus

24 (18.5%)

Pseudomonas aeruginosa

14 (10.8%)

Acinetobacter baumannii

8 (6.2%)

Enterococcus spp.

7 (5.4%)

Others (Salmonella, etc.)

11 (8.4%)

Gram-negative organisms accounted for 70% of all isolates.

 

Table 4: Gram Stain Classification of Isolates

Table 4 classifies isolates into Gram-positive and Gram-negative organisms.

Gram Classification

Frequency (%)

Gram-negative

91 (70.0%)

Gram-positive

39 (30.0%)

Gram-negative infections were significantly more prevalent in this cohort.

 

Table 5: Mean CRP Levels Based on Gram Type

Table 5 compares serum CRP levels between Gram-positive and Gram-negative infections.

Gram Type

Mean CRP (mg/L) ± SD

p-value

Gram-negative

164.8 ± 38.4

< 0.001

Gram-positive

108.3 ± 26.9

 

CRP levels were significantly higher in Gram-negative BSIs.

 

 

Table 6: Antibiotic Resistance Profiles of Isolates

Table 6 shows the resistance characteristics among isolates.

Resistance Category

Frequency (%)

Multidrug-resistant (MDR)

47 (36.2%)

ESBL producers

32 (24.6%)

MRSA

14 (10.8%)

MDR and ESBL-producing organisms formed a considerable subset of isolates.

 

Table 7: Mean CRP Levels in Relation to Resistance Patterns

Table 7 provides mean CRP levels across different resistance categories.

Resistance Type

Mean CRP (mg/L) ± SD

p-value

MDR

172.3 ± 34.6

< 0.001

ESBL

168.7 ± 32.8

< 0.001

MRSA

115.2 ± 27.9

0.04

Sensitive strains

101.5 ± 22.3

 

Elevated CRP levels correlated strongly with drug-resistant strains.

 

Table 8: Correlation Between CRP and Duration of Fever

Table 8 explores the relationship between CRP levels and duration of febrile illness.

Duration of Fever

Mean CRP (mg/L) ± SD

< 3 days

126.7 ± 31.5

3–7 days

155.2 ± 37.9

> 7 days

174.9 ± 39.1

Longer duration of fever was associated with higher CRP levels.

 

Table 9: Site of Infection and CRP Levels

Table 9 correlates primary infection source with CRP values.

Infection Focus

Mean CRP (mg/L) ± SD

Urinary tract

158.2 ± 36.2

Respiratory tract

167.5 ± 41.0

Intra-abdominal

162.1 ± 33.8

Catheter-related

119.4 ± 27.6

Catheter-related infections had relatively lower CRP values.

 

Table 10: Correlation Between CRP and Blood Culture Yield Time

Table 10 evaluates whether CRP levels relate to faster culture positivity.

Time to Positivity

Mean CRP (mg/L) ± SD

< 24 hours

168.3 ± 35.9

24–48 hours

137.6 ± 32.7

> 48 hours

115.2 ± 28.3

Higher CRP values were associated with early culture positivity, indicating higher bacterial load.

 

Table 11: CRP Stratification and Pathogen Type

Table 11 categorizes pathogens based on CRP levels into mild, moderate, and severe response.

CRP Range (mg/L)

Dominant Pathogens

< 100

Staphylococcus aureus, Enterococci

100–150

Klebsiella, E. coli

> 150

Pseudomonas, Acinetobacter

High CRP levels frequently corresponded to more virulent Gram-negative organisms.

 

Table 12: Correlation Coefficient Between CRP and Resistance Profile

Table 12 reports the strength of association between CRP and resistance traits.

Resistance Feature

Correlation Coefficient (r)

p-value

MDR

0.61

< 0.001

ESBL

0.59

< 0.001

MRSA

0.41

0.03

There was a moderate to strong positive correlation between CRP levels and resistance profiles

 

Table 1 highlights the demographic profile of BSI patients, predominantly middle-aged males. Table 2 summarizes common clinical signs, with fever and tachycardia being prominent. Table 3 shows E. coli and Klebsiella as the most common pathogens. Table 4 confirms the predominance of Gram-negative isolates. Table 5 demonstrates significantly elevated CRP in Gram-negative infections. Table 6 reveals the frequency of MDR, ESBL, and MRSA strains. Table 7 links elevated CRP to MDR and ESBL infections, showing statistical significance. Table 8 indicates higher CRP levels with longer fever duration. Table 9 correlates infection source with CRP, showing higher values in respiratory and intra-abdominal infections. Table 10 suggests that higher CRP is associated with quicker culture positivity. Table 11 stratifies CRP levels with the likely organism type and virulence. Table 12 provides statistical evidence for moderate-to-strong correlation between CRP and resistance traits

DISCUSSION

Bloodstream infections (BSIs) continue to be a major cause of hospital admissions and complications in both critical care and general inpatient settings. Early detection of causative organisms and timely administration of effective antimicrobial therapy are essential for improving patient outcomes[8]. However, the increasing prevalence of multidrug-resistant (MDR) organisms and delayed culture results often hinder appropriate management. In this context, inflammatory biomarkers such as C-reactive protein (CRP) can play an important adjunctive role in the early identification and stratification of infection severity[9].

In the present study, Gram-negative bacteria were more frequently isolated from blood cultures than Gram-positive organisms. Escherichia coli and Klebsiella pneumoniae were the predominant pathogens among the Gram-negative group, while Staphylococcus aureus was the most common among Gram-positive isolates. The predominance of Gram-negative organisms in BSIs observed here reflects a typical pattern seen in nosocomial and urinary tract–associated infections, particularly in patients with catheters, underlying comorbidities, or recent hospitalizations[9].

The mean CRP levels were significantly higher in patients with Gram-negative infections compared to those with Gram-positive infections. This difference suggests a more severe systemic inflammatory response associated with Gram-negative bacteremia. The higher CRP concentrations likely reflect the greater pro-inflammatory stimulus induced by lipopolysaccharides and endotoxins present in the outer membranes of Gram-negative bacteria. This physiological response results in accelerated hepatic synthesis of acute-phase proteins, including CRP, mediated through cytokine cascades[10].

A considerable proportion of isolates in this study exhibited antibiotic resistance patterns, including MDR, ESBL production, and methicillin resistance. CRP levels were notably elevated in patients infected with MDR and ESBL-producing organisms[11]. These observations suggest that infections caused by resistant organisms may provoke a more intense or prolonged inflammatory response, either due to delayed clearance of the pathogen or due to greater tissue damage inflicted by resistant strains. In contrast, patients infected with MRSA exhibited moderately elevated CRP levels, which, while higher than those in patients infected with sensitive strains, were still lower than those seen in MDR Gram-negative infections[12].

The association between CRP levels and resistance profiles reinforces the potential role of CRP as a surrogate indicator for identifying high-risk infections. This is particularly valuable in clinical settings where immediate microbiological confirmation is unavailable. Elevated CRP values, especially in the context of Gram-negative sepsis or suspected drug-resistant infections, could prompt the early use of broader-spectrum antibiotics or escalation of care. Moreover, CRP stratification can assist clinicians in prioritizing patients for intensive monitoring or isolation protocols when multidrug-resistant pathogens are suspected[13].

In addition to microbial factors, clinical parameters such as fever duration and site of infection were also associated with CRP levels. Patients with prolonged fever and those with respiratory or intra-abdominal sources of infection tended to have higher CRP values. This supports the understanding that CRP levels not only reflect microbial burden but also the extent and location of systemic inflammation. Faster culture positivity, observed in patients with higher CRP levels, may indicate a higher bacterial load, further supporting the role of CRP in reflecting disease intensity[14].

Although CRP is a nonspecific biomarker and cannot distinguish among individual pathogens or resistance mechanisms, its quantitative correlation with Gram classification and resistance traits offers practical clinical utility. When used alongside clinical examination and basic laboratory data, CRP measurement can improve the precision of empirical treatment decisions while awaiting definitive culture and sensitivity reports[15].

The present study highlights the feasibility of using CRP levels as a rapid, cost-effective adjunct in the early diagnosis and risk assessment of BSIs. It also emphasizes the importance of combining biomarker data with microbiological results for a more comprehensive understanding of infection dynamics. Despite its limitations such as the cross-sectional design and exclusion of other biomarkers this study underscores the diagnostic and prognostic relevance of CRP in bloodstream infections in hospital-based settings.

CONCLUSION

This study demonstrated a significant association between serum C-reactive protein (CRP) levels and the type of bacterial isolates, as well as their antibiotic resistance profiles, in patients with bloodstream infections. CRP levels were markedly higher in cases involving Gram-negative organisms and in infections caused by multidrug-resistant and ESBL-producing pathogens, suggesting a stronger inflammatory response in these groups.

The findings indicate that CRP, although nonspecific, may serve as a useful adjunctive biomarker for early risk stratification, particularly in settings where blood culture results are pending or delayed. CRP can aid in anticipating pathogen virulence and resistance potential, supporting more rational and timely decisions regarding empirical antimicrobial therapy.

Incorporating CRP measurements into the initial evaluation of patients with suspected sepsis may help identify those at greater risk of complications and antimicrobial resistance. While CRP cannot replace microbiological testing, its use alongside clinical judgment and culture results may enhance diagnostic accuracy and therapeutic planning in bloodstream infections.

REFERENCES
  1. Huang CH, Chiu CH, Chen IW, Hung SY, Lin CW, Hsu BR, Huang YY. Antimicrobial resistance and outcomes of community-onset bacterial bloodstream infections in patients with type 2 diabetes. J Glob Antimicrob Resist. 2018 Dec;15:271-276. doi: 10.1016/j.jgar.2018.08.008. Epub 2018 Aug 16. PMID: 30121344.
  2. Tsai YH, Hou TC, Liu PY, Chen CJ, Wang JM. Bloodstream Coinfections and Antimicrobial Resistance in Hospitalized COVID-19 Patients: A Single-center Retrospective Study. In Vivo. 2024 Jul-Aug;38(4):1965-1972. doi: 10.21873/invivo.13653. PMID: 38936952; PMCID: PMC11215599.
  3. Ma H, Xu J, Zhang Y, Zhang R, Wu J. Relevance and antimicrobial resistance profile of Klebsiella pneumoniae in neonatal sepsis. J Matern Fetal Neonatal Med. 2024 Dec;37(1):2327828. doi: 10.1080/14767058.2024.2327828. Epub 2024 Mar 12. PMID: 38471804.
  4. Mkony MF, Mizinduko MM, Massawe A, Matee M. Management of neonatal sepsis at Muhimbili National Hospital in Dar es Salaam: diagnostic accuracy of C-reactive protein and newborn scale of sepsis and antimicrobial resistance pattern of etiological bacteria. BMC Pediatr. 2014 Dec 5;14:293. doi: 10.1186/s12887-014-0293-4. PMID: 25475836; PMCID: PMC4262228.
  5. Chen PL, Chang CM, Wu CJ, Ko NY, Lee NY, Lee HC, Shih HI, Lee CC, Wang RR, Ko WC. Extraintestinal focal infections in adults with nontyphoid Salmonella bacteraemia: predisposing factors and clinical outcome. J Intern Med. 2007 Jan;261(1):91-100. doi: 10.1111/j.1365-2796.2006.01748.x. PMID: 17222172.
  6. Keller D, Mester P, Räth U, Krautbauer S, Schmid S, Greifenberg V, Müller M, Kunst C, Buechler C, Pavel V. Calprotectin, a Promising Serological Biomarker for the Early Diagnosis of Superinfections with Multidrug-Resistant Bacteria in Patients with COVID-19. Int J Mol Sci. 2024 Aug 27;25(17):9294. doi: 10.3390/ijms25179294. PMID: 39273246; PMCID: PMC11394900.
  7. Oldendorff F, Nordberg V, Giske CG, Navér L. A decade of neonatal sepsis in Stockholm, Sweden: Gram-positive pathogens were four times as common as Gram-negatives. Eur J Clin Microbiol Infect Dis. 2024 May;43(5):959-968. doi: 10.1007/s10096-024-04809-8. Epub 2024 Mar 22. PMID: 38517573; PMCID: PMC11108929.
  8. Salah A, Al-Subol I, Hudna A, Alhaj A, Alqubaty AR, Farie W, Sulieman D, Alnadhari O, Alwajeeh T, Alobathani F, Almikhlafy A, Mahdy MAK. Neonatal sepsis in Sana'a city, Yemen: a predominance of Burkholderia cepacia. BMC Infect Dis. 2021 Oct 27;21(1):1108. doi: 10.1186/s12879-021-06808-y. PMID: 34706677; PMCID: PMC8554861.
  9. Chen ZS, Zheng L, Chen YQ, Yang JH, Li J. [Pathogens of infections in the induction period of childhood acute lymphoblastic leukemia and drug resistance of isolated strains]. Zhongguo Dang Dai Er Ke Za Zhi. 2017 Feb;19(2):176-181. Chinese. doi: 10.7499/j.issn.1008-8830.2017.02.010. PMID: 28202116; PMCID: PMC7389464.
  10. Amanati A, Sajedianfard S, Khajeh S, Ghasempour S, Mehrangiz S, Nematolahi S, Shahhosein Z. Bloodstream infections in adult patients with malignancy, epidemiology, microbiology, and risk factors associated with mortality and multi-drug resistance. BMC Infect Dis. 2021 Jul 2;21(1):636. doi: 10.1186/s12879-021-06243-z. PMID: 34215207; PMCID: PMC8254331.
  11. Wattal C, Goel N. Pediatric Blood Cultures and Antibiotic Resistance: An Overview. Indian J Pediatr. 2020 Feb;87(2):125-131. doi: 10.1007/s12098-019-03123-y. Epub 2019 Dec 21. Erratum in: Indian J Pediatr. 2020 Jun;87(6):486. doi: 10.1007/s12098-020-03257-4. PMID: 31863394; PMCID: PMC6974494.
  12. Kadri SS, Lai YL, Warner S, Strich JR, Babiker A, Ricotta EE, Demirkale CY, Dekker JP, Palmore TN, Rhee C, Klompas M, Hooper DC, Powers JH 3rd, Srinivasan A, Danner RL, Adjemian J; forming the National Insititutes of Health Antimicrobial Resistance Outcomes Research Initiative (NIH-ARORI). Inappropriate empirical antibiotic therapy for bloodstream infections based on discordant in-vitro susceptibilities: a retrospective cohort analysis of prevalence, predictors, and mortality risk in US hospitals. Lancet Infect Dis. 2021 Feb;21(2):241-251. doi: 10.1016/S1473-3099(20)30477-1. Epub 2020 Sep 8. PMID: 32916100; PMCID: PMC7855478.
  13. Foglia F, Della Rocca MT, Melardo C, Nastri BM, Manfredini M, Montella F, De Filippis A, Finamore E, Galdiero M. Bloodstream infections and antibiotic resistance patterns: a six-year surveillance study from southern Italy. Pathog Glob Health. 2023 Jun;117(4):381-391. doi: 10.1080/20477724.2022.2129161. Epub 2022 Oct 3. PMID: 36190133; PMCID: PMC10177691.
  14. AbuTaha SA, Al-Kharraz T, Belkebir S, Abu Taha A, Zyoud SH. Patterns of microbial resistance in bloodstream infections of hemodialysis patients: a cross-sectional study from Palestine. Sci Rep. 2022 Oct 26;12(1):18003. doi: 10.1038/s41598-022-21979-7. PMID: 36289278; PMCID: PMC9605991.
  15. Dubreuil L, Veloo AC, Sóki J; ESCMID Study Group for Anaerobic Infections (ESGAI). Correlation between antibiotic resistance and clinical outcome of anaerobic infections; mini-review. Anaerobe. 2021 Dec;72:102463. doi: 10.1016/j.anaerobe.2021.102463. Epub 2021 Sep 28. PMID: 34597797
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