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ESBL and Multidrug-Resistance Profile of Gram-Negative Urinary Isolates in a Tertiary-Care Microbiology Lab

  • 12 slides
  • 16 viva questions
  • 4 modules
  • No code needed

@esbl-mdr-profile-urinary-isolatesUpdated Oct 2026

One hundred urine isolates, CLSI M100 breakpoints and a combined-disc test that settles the ESBL question

BMLT, Microbiology · Year 3–4 · Intermediate · 14 weeks · Team of 2

More info
Level
Intermediate · 14 weeks · Team of 2
Relevant for
All India
Common at
RGUHS / KUHS (B.Sc MLT), RGUHS, KUHS
Syllabus
RGUHS / KUHS B.Sc MLT · Final-year project / internship report (lab-based study) · Year 3–4
Tech stack
  • CLED and MacConkey agar (semi-quantitative culture)
  • Conventional biochemical identification
  • Kirby–Bauer disc diffusion (CLSI M100)
  • Combined-disc ESBL confirmatory test
  • ATCC quality-control strains
  • WHONET
  • Excel / SPSS
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  1. Pinned

    1 min

    Overview

    This project is a laboratory-based cross-sectional study of the antibiotic-resistance profile of Gram-negative bacilli isolated from urine samples received in the microbiology laboratory of a tertiary-care teaching hospital. Urinary tract infection is the commonest bacterial infection seen in Indian OPDs, and Escherichia coli and Klebsiella pneumoniae producing extended-spectrum β-lactamases (ESBLs) now make empirical treatment with third-generation cephalosporins unreliable. The Indian Council of Medical Research's antimicrobial-resistance surveillance network has repeatedly reported high cephalosporin and fluoroquinolone resistance in these organisms.

    The two-member team collects 100 consecutive, non-duplicate significant isolates, identifies them by colony morphology, Gram stain and a standard biochemical panel, and tests susceptibility by Kirby–Bauer disc diffusion interpreted with the current CLSI M100 breakpoints. Isolates resistant on screening are confirmed as ESBL producers by the combined-disc test (ceftazidime vs ceftazidime–clavulanate). Each isolate is classified as MDR, XDR or PDR using the international expert definitions (Magiorakos et al., 2012). Data are entered in WHONET and summarised in Excel/SPSS as frequencies, cumulative antibiogram and chi-square comparisons (OPD vs IPD, E. coli vs Klebsiella).

    The output is a local antibiogram that a hospital infection-control committee can actually use, and a hands-on demonstration of the QC discipline — ATCC control strains, McFarland standards, zone reading — that separates a reliable AST report from a guess.

    Syllabus alignment

    RGUHS / KUHS · B.Sc MLT

    Final-year project / internship report (lab-based study) · Year 3–4

    Subjects this project applies
    • Systematic Bacteriology
    • Antimicrobial Susceptibility Testing and Diagnostic Microbiology
    • Laboratory Quality Control (QC charts)
    • Biostatistics and Research Methodology (Excel / SPSS)
    • Laboratory Information System basics
    How it is evaluated

    See your department's project guidelines.

    1 min read · 16 viva questions

  2. 2 min

    Synopsis

    Abstract

    A cross-sectional laboratory study of 100 consecutive, non-duplicate Gram-negative urinary isolates will be carried out over eight weeks of sample collection. Isolates will be identified by conventional methods, tested by Kirby–Bauer disc diffusion as per CLSI M100, screened and confirmed for ESBL production by the combined-disc method, and classified as MDR/XDR/PDR by standard definitions. Results will be presented as a cumulative antibiogram with 95% confidence intervals and compared across patient settings by the chi-square test.

    Introduction

    Urine is the single largest specimen category in most hospital microbiology labs. Clinicians frequently start empirical antibiotics before culture reports arrive, so the choice depends on local resistance data. ESBLs hydrolyse penicillins, third-generation cephalosporins and aztreonam, but are inhibited by clavulanic acid — the basis of phenotypic confirmation. Because ESBL genes travel on plasmids that often carry resistance to aminoglycosides, fluoroquinolones and co-trimoxazole, ESBL producers are frequently multidrug-resistant.

    Literature gap

    Published Indian studies report ESBL prevalence among urinary E. coli ranging roughly from one-third to over two-thirds depending on region and setting. Resistance changes with local prescribing, so a hospital's own antibiogram, updated regularly, is recommended by CLSI M39 and by the national AMR action plan. The study hospital has no published cumulative antibiogram for urinary Gram-negatives in the last three years.

    Proposed work

    • Semi-quantitative culture on CLED agar with a calibrated 1 µL loop; significant bacteriuria as ≥ 10⁵ CFU/mL.
    • Identification by Gram stain, oxidase, catalase, indole, methyl red, Voges–Proskauer, citrate, urease, TSI and motility.
    • AST on Mueller–Hinton agar with a panel selected from CLSI M100 for Enterobacterales.
    • ESBL screening and combined-disc confirmation; MDR/XDR/PDR classification.

    Feasibility

    • Technical: all methods are routine in a NABL-style hospital lab; discs and media are standard stock.
    • Economic: extra consumables (clavulanate combination discs, ATCC strain maintenance) cost under ₹6,000.
    • Time: eight weeks of collection yields well over 100 isolates in a 500-bed hospital.
    • Ethical: anonymised residual laboratory isolates; the Institutional Ethics Committee is requested to grant a waiver of consent.
  3. 1 min

    Problem statement

    Empirical treatment of urinary tract infection in Indian hospitals is increasingly failing because Gram-negative uropathogens — mainly E. coli and Klebsiella — produce extended-spectrum β-lactamases and carry co-resistance to fluoroquinolones, aminoglycosides and co-trimoxazole. Clinicians choose first-line drugs based on general guidelines or habit, while the laboratory's own susceptibility data sit in individual reports and are never summarised.

    The study hospital lacks a current, CLSI-compliant cumulative antibiogram for urinary Gram-negative isolates that states ESBL prevalence and the proportion of multidrug-resistant strains. Without it, the antimicrobial-stewardship and infection-control teams cannot recommend evidence-based empirical choices for OPD and ward patients. This project generates that data set with documented quality control, so that its percentages can be trusted and repeated.

  4. 1 min

    Objectives & scope

    1. 01Isolate and identify Gram-negative bacilli from significant bacteriuria (≥ 10⁵ CFU/mL) in 100 consecutive non-duplicate urine cultures.
    2. 02Determine antimicrobial susceptibility by Kirby–Bauer disc diffusion interpreted with current CLSI M100 breakpoints.
    3. 03Screen all isolates for ESBL production and confirm by the ceftazidime / ceftazidime–clavulanate combined-disc test.
    4. 04Classify isolates as MDR, XDR or PDR using the Magiorakos et al. (2012) definitions.
    5. 05Compare resistance and ESBL prevalence between OPD and IPD isolates and between E. coli and Klebsiella by chi-square test.
    6. 06Prepare a cumulative antibiogram in WHONET for the hospital's infection-control committee.

    Scope

    In scope

    • Urine samples (midstream clean-catch and catheter) received in the hospital microbiology lab during the eight-week collection period.
    • Gram-negative bacilli only; first isolate per patient.
    • Phenotypic identification, disc-diffusion AST, ESBL screening and confirmation, MDR classification.
    • Descriptive and comparative statistics, WHONET antibiogram.

    Out of scope

    • Gram-positive uropathogens and Candida.
    • MIC determination by broth microdilution (except where the lab's routine automated system already reports it).
    • Molecular detection of blaCTX-M, blaTEM, blaSHV or carbapenemase genes.
    • Clinical outcome of patients.
  5. 2 min

    Methodology

    Study design: laboratory-based, descriptive cross-sectional study.

    Setting: Department of Microbiology of a 500-bed teaching hospital (fictional: Sri Venkateshwara Institute of Medical Sciences), eight weeks of sample collection within a 14-week project.

    Sample size: using n = Z²·p·(1−p)/d² with an expected ESBL prevalence of 40% among urinary Gram-negatives (Indian literature), Z = 1.96 and absolute precision d = 10%, n = 92; rounded up to 100 isolates to allow for exclusions.

    Inclusion criteria: significant growth (≥ 10⁵ CFU/mL) of a single Gram-negative bacillus, or two organisms each ≥ 10⁵ in catheter samples; first isolate per patient.

    Exclusion criteria: mixed growth of three or more organisms (contamination), repeat isolates from the same patient, Gram-positive and yeast isolates, samples delayed > 2 h without refrigeration.

    Procedure

    1. Inoculate 1 µL urine on CLED agar and MacConkey agar; incubate at 37 °C for 18–24 h; count colonies.
    2. Identify by Gram stain and the biochemical panel; record in a coded case sheet (lab number only — no patient identifiers).
    3. Prepare a 0.5 McFarland suspension, lawn on Mueller–Hinton agar, apply discs (ampicillin, amoxicillin–clavulanate, cefazolin, ceftriaxone, ceftazidime, cefepime, piperacillin–tazobactam, imipenem/meropenem, gentamicin, amikacin, ciprofloxacin, co-trimoxazole, nitrofurantoin, fosfomycin for E. coli), incubate 16–18 h at 35 ± 2 °C.
    4. Measure zones with a vernier caliper and interpret with CLSI M100 (edition in force).
    5. ESBL screen: reduced zones to ceftazidime, cefotaxime/ceftriaxone, cefpodoxime or aztreonam. Confirm: an increase of ≥ 5 mm with ceftazidime–clavulanate (30/10 µg) over ceftazidime (30 µg).
    6. QC daily: E. coli ATCC 25922 (negative control) and K. pneumoniae ATCC 700603 (ESBL-positive control); results outside CLSI QC ranges invalidate that day's run.

    Statistical analysis: WHONET for antibiogram; Excel/SPSS for frequencies, percentages with 95% CI, and chi-square (or Fisher's exact) tests; p < 0.05 significant.

    Ethics: proposal approved by the guide and HOD; Institutional Ethics Committee approval with waiver of informed consent because only anonymised residual lab isolates are used, consistent with the ICMR National Ethical Guidelines (2017). Biomedical waste handled as per the BMW Management Rules, 2016.

    WeeksWork
    1–2Literature review, protocol, IEC submission
    3–4QC set-up, pilot on 10 isolates
    5–12Collection, identification, AST, ESBL tests
    13–14WHONET analysis, report, presentation
  6. 1 min

    Architecture & tech stack

    • CLED and MacConkey agar (semi-quantitative culture)
    • Conventional biochemical identification
    • Kirby–Bauer disc diffusion (CLSI M100)
    • Combined-disc ESBL confirmatory test
    • ATCC quality-control strains
    • WHONET
    • Excel / SPSS

    The workflow is a bench pipeline with a daily QC gate: no patient isolate result is accepted unless the ATCC control strains read within CLSI ranges that day. Classification happens in two layers — first the CLSI interpretation per drug, then the MDR/XDR/PDR category across antimicrobial categories.

    flowchart TD
      A[Urine sample received in lab] --> B[Semi-quantitative culture on CLED and MacConkey]
      B --> C{Significant growth of Gram-negative bacillus?}
      C -->|No or mixed growth| X[Exclude and log reason]
      C -->|Yes, first isolate per patient| D[Gram stain and biochemical identification]
      D --> E[0.5 McFarland suspension]
      E --> F[Kirby-Bauer disc diffusion on Mueller-Hinton agar]
      Q[Daily QC: ATCC 25922 and ATCC 700603] --> G{QC within CLSI range?}
      F --> G
      G -->|No| R[Repeat run after corrective action]
      G -->|Yes| H[Interpret zones with CLSI M100]
      H --> I[ESBL screen]
      I -->|Screen positive| J[Combined-disc confirmation CAZ vs CAZ-CLA]
      I -->|Screen negative| K[Non-ESBL]
      J --> L[MDR / XDR / PDR classification]
      K --> L
      L --> M[WHONET antibiogram and chi-square analysis]

    Variables

    TypeVariable
    OutcomeSusceptible / Intermediate / Resistant per drug; ESBL status; MDR/XDR/PDR category
    GroupingOrganism, patient setting (OPD / IPD / ICU), sex, age group, sample type
    QualityDaily QC zone diameters, McFarland density, incubation time
  7. 4 modules

    Modules

    • Member 1 — Culture, colony count and identification

      Processes urine samples on CLED and MacConkey agar, applies the significant-bacteriuria criteria, performs the Gram stain and biochemical panel, and maintains the coded isolate register with inclusion and exclusion reasons.

    • Member 1 — Quality control log

      Maintains ATCC 25922 and ATCC 700603 stock cultures, runs daily QC discs, records zone diameters on a QC chart and documents every out-of-range result with its corrective action.

    • Member 2 — AST and ESBL confirmation

      Prepares standardised inocula, performs disc diffusion, reads zones, interprets with CLSI M100, screens every isolate for ESBL and performs the combined-disc confirmatory test, photographing representative plates for the report.

    • Member 2 — Data analysis and antibiogram

      Enters results into WHONET, generates the cumulative antibiogram, applies MDR/XDR/PDR definitions, and runs chi-square or Fisher's exact tests in SPSS or Excel for OPD versus IPD and organism-wise comparisons.

  8. Locked

    Presentation

    12 slides with speaker notes. The outline below is free; the bullets, notes and the generated .pptx unlock with the project.

    1. ESBL and MDR Profile of Gram-Negative Urinary Isolates
    2. Introduction
    3. Review of Literature
    4. Aim and Objectives
    5. Materials and Methods
    6. Laboratory Workflow
    7. ESBL Confirmation
    8. Results — Organism Distribution
    9. Results — Antibiogram
    10. Results — Comparisons
    11. Discussion and Conclusion
    12. Future Scope and References

    Bullets, speaker notes and the .pptx download unlock with the project.

    Presentation is locked: 12 slides, Speaker notes, .pptx download.

  9. Locked

    How to run

    A research, analysis or design project, so there's no code bundle: 9 steps to carry it out with CLED and MacConkey agar (semi-quantitative culture), Conventional biochemical identification and Kirby–Bauer disc diffusion (CLSI M100).

    The good part is behind this lock. Like every good viva answer.

    How to run is locked: 9 steps.

  10. 1 min

    Future scope

    • Molecular characterisation of ESBL genes (blaCTX-M-15, blaTEM, blaSHV) by PCR.
    • Carbapenemase detection with the modified carbapenem inactivation method (mCIM/eCIM).
    • MIC-based surveillance using broth microdilution or an automated ID/AST system.
    • Longitudinal antibiogram updated every six months to track trends.
    • Correlation with prescribing data to support the hospital's antimicrobial-stewardship programme.
  11. 8 sources

    References

    1. Clinical and Laboratory Standards Institute. M100 — Performance Standards for Antimicrobial Susceptibility Testing (current edition).
    2. Clinical and Laboratory Standards Institute. M39 — Analysis and Presentation of Cumulative Antimicrobial Susceptibility Test Data.
    3. Magiorakos AP, et al. Multidrug-resistant, extensively drug-resistant and pandrug-resistant bacteria: an international expert proposal for interim standard definitions for acquired resistance. Clinical Microbiology and Infection. 2012;18(3):268–281.
    4. WHONET — microbiology laboratory database software, WHO Collaborating Centre for Surveillance of Antimicrobial Resistance
    5. Indian Council of Medical Research. Antimicrobial Resistance Research & Surveillance Network — annual reports.
    6. Tille PM. Bailey & Scott's Diagnostic Microbiology. Elsevier.
    7. Mackie & McCartney Practical Medical Microbiology. Collee JG, Fraser AG, Marmion BP, Simmons A (eds). Churchill Livingstone.
    8. Indian Council of Medical Research. National Ethical Guidelines for Biomedical and Health Research Involving Human Participants. 2017.

    Cite this bundle

    OnlyProjects. (2026). ESBL and Multidrug-Resistance Profile of Gram-Negative Urinary Isolates in a Tertiary-Care Microbiology Lab: BMLT Microbiology project bundle [Educational resource]. https://onlyprojects.online/projects/bmlt-micro-esbl-mdr-profile-urinary-isolates

Slides, diagrams & files

12 slides. Titles are free; bullets, speaker notes and the .pptx unlock with the project.

  1. SLIDE 1

    ESBL and MDR Profile of Gram-Negative Urinary Isolates

  2. SLIDE 2

    Introduction

  3. SLIDE 3

    Review of Literature

  4. SLIDE 4

    Aim and Objectives

  5. SLIDE 5

    Materials and Methods

  6. SLIDE 6

    Laboratory Workflow

  7. SLIDE 7

    ESBL Confirmation

  8. SLIDE 8

    Results — Organism Distribution

  9. SLIDE 9

    Results — Antibiogram

  10. SLIDE 10

    Results — Comparisons

  11. SLIDE 11

    Discussion and Conclusion

  12. SLIDE 12

    Future Scope and References

Architecture diagram

1
flowchart TD
  A[Urine sample received in lab] --> B[Semi-quantitative culture on CLED and MacConkey]
  B --> C{Significant growth of Gram-negative bacillus?}
  C -->|No or mixed growth| X[Exclude and log reason]
  C -->|Yes, first isolate per patient| D[Gram stain and biochemical identification]
  D --> E[0.5 McFarland suspension]
  E --> F[Kirby-Bauer disc diffusion on Mueller-Hinton agar]
  Q[Daily QC: ATCC 25922 and ATCC 700603] --> G{QC within CLSI range?}
  F --> G
  G -->|No| R[Repeat run after corrective action]
  G -->|Yes| H[Interpret zones with CLSI M100]
  H --> I[ESBL screen]
  I -->|Screen positive| J[Combined-disc confirmation CAZ vs CAZ-CLA]
  I -->|Screen negative| K[Non-ESBL]
  J --> L[MDR / XDR / PDR classification]
  K --> L
  L --> M[WHONET antibiogram and chi-square analysis]

Files

Viva questions & answers

3 of 16 questions free. Explain each answer in your own words before you move on.

  1. Concept

    What is an extended-spectrum β-lactamase?

    An ESBL is a plasmid-mediated β-lactamase, commonly of the CTX-M, TEM or SHV families, that hydrolyses penicillins, first- to third-generation cephalosporins and aztreonam but not cephamycins or carbapenems, and is inhibited by β-lactamase inhibitors such as clavulanic acid.

  2. Concept

    What is significant bacteriuria?

    Kass's criterion defines significant bacteriuria as 10⁵ or more colony-forming units per millilitre of a single organism in a clean-catch midstream urine. Lower counts can be significant in symptomatic patients or catheter samples, which is why our inclusion criteria specify sample type.

  3. Concept

    Define MDR, XDR and PDR.

    Using Magiorakos et al. 2012: MDR is non-susceptibility to at least one agent in three or more antimicrobial categories; XDR is non-susceptibility to at least one agent in all but two or fewer categories; PDR is non-susceptibility to all agents in all categories.

+13 more questions

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For educational purposes only. Use this bundle to understand how the project works, then build and write your own. Submitting it verbatim is between you, your conscience and your external examiner.