Get Permission Saher, Afzal, and Ansari: Comparative study of manual conventional blood cultures versus automated blood culture system in cases of septicemia


Introduction

Septicemia or sepsis results when circulating bacteria in blood multiply at a rate that surpasses their elimination by phagocytes.1 Blood infections are a substantial reason for morbidity and mortality of patients, particularly in developing countries.2 If left untreated, bloodstream infections may lead to more dangerous infections, involving all organs and ultimately death.3 Among the various types of nosocomial infections, bloodstream infections are a very serious health problem in hospital wards globally.4

Laboratory blood cultures are a proven standard tool for the identification of causative agents of bloodstream infections.5 Blood cultures provide us information on the causative organism and their antibiotic susceptibility.6

This leads to a need for the most effective use of all the accessible procedures for the initial identification of microorganisms causing blood stream infections, which comprises conventional and automated blood culture systems. Technological developments resulted in the accessibility of diverse systems, each appealing to be greater in different facets.7 Drawbacks of the conventional method require a better diagnostic tool with higher yield and speed.

An automated Blood Culture System is a new ray of hope in the diagnosis of bloodstream infection as it monitors continuously with higher sensitivity, specificity, and faster turnaround time.8 With this background, the study was undertaken to compare the bacteriological outline and antibiotic susceptibility pattern by both conventional blood culture systems and automated BACTEC FX40 blood culture systems in cases of septicaemia.

Materials and Methods

A prospective study of six months period was conducted among 100 subjects attending the Microbiology department of Shadan Institute of Medical Sciences. Subjects with symptoms and signs of septicemia were included in the study.

Inclusion criteria

All the cases with the signs of septicemia like fever, chills, malaise, tachycardia, hyperventilation, and toxiciity or prostration were included.

Exclusion criteria

Cases without symptoms and signs of septicemia were not taken into account.

Blood culture by conventional blood culture system

As per standard procedures described in Bailey & Scott 12th edition,9 5ml of blood was drawn aseptically into a 50ml bottle of Brain Heart Infusion bottle with 0.05% Sodium polyanethol Sulfonate and were incubated at 37º C under aerobic conditions. After overnight incubation, (12-18hrs) Gram’s stain was done from the broth.

Blind subculture onto Blood agar, Chocolate agar, and MacConkey agar was done with help of a loop. Blood agar and MacConkey agar plates were incubated at 37º C under aerobic conditions overnight. Chocolate agar plate was incubated in a candle jar with 5-10% CO2 at 37º C overnight. All the plates were examined for growth and colony characteristics.

Subcultures were done into appropriate liquid media. Preliminary tests like Gram’s stain, hanging drop, catalase, oxidase test were done and appropriate biochemical reactions like Slide Coagulase, Tube Coagulase, Bile Aesculin Agar, Optochin Sensitivity, Bacitracin Sensitivity, DNAse test were put for Gram Positive Cocci and Indole Test, Methyl Red Reaction, Voges –Proskaeur test, Citrate and Urease Reaction, Triple Sugar Iron Agar, Nitrate Reduction Test and Decarboxylases Test for Gram Negative Bacilli. Culture negative bottles were subcultured again after 48hrs, 72hrs, and finally after 7 days of incubation. Bottles were inspected daily for any macroscopic evidence of growth and subcultured if turbidity, gas formation, lysis of blood was appreciated.

Blood culture by automated blood culture system

For the automated blood culture system, 10ml each of blood was inoculated into Aerobic and Anaerobic BACTEC PLUS bottles and were loaded into the machine. As soon as an audible or visible alert was given by the BACTEC FX40, it was treated as a positive blood culture and processed in a manner similar to conventional blood culture system by subculturing. If there was no alert, audible or visible, the bottles were incubated for 7 days before undergoing a terminal subculture, to report as negative.

Antibiotic susceptibility testing

Antibiotic susceptibility testing was carried out on Mueller Hinton agar using Kirby Bauer Disc Diffusion method10 as per NCCLS guidelines by using the Hi Media Antibiotic Discs.

Statistical analysis of data

It was performed utilizing the SPSS software. Data analysis was done by, descriptive analysis, student t test and chi-square test, p value <0.05 was considered as significant.

Results

A total of 100 subjects diagnosed with septicemia participated, ranging from age 20 to 100 years, the majority of the subjects belonged to the 61-80 years age group (31%). (Figure 1). Male predominance (52%) was observed, and the females were 49% in our study. (Figure 2).

Blood was collected (5ml) and was inoculated into 50ml of Brain Heart Infusion bottle by using conventional blood culture system and 10ml each into Aerobic and Anaerobic BACTEC PLUS bottle by using automated blood culture system, for the identification of the microorganism and antibiotic sensitivity.

Out of 100 cases of clinically suspected septicemia, culture positive cases were 48. The isolation percentage being 48%. The various isolates were

  1. Gram Positive cocci- 25 (52.08%)

  2. Gram Negative bacilli – 23(47.91%)

The predominant organism was Coagulase Negative Staphylococcus followed by Escherichia coli. (Table 1)

Out of 100 cases of clinically diagnosed septicemia, 60 cases were culture positive isolated by BACTEC FX40. The percentage of isolation being 60%. The various organisms isolated were

  1. Gram positive cocci- 27(45%)

  2. Gram negative bacilli – 33(55%)

The predominant organism found was – Coagulase Negative Staphylococcus. No anaerobic organisms were isolated. (Table 2).

  1. Sensitivity patterns of Gram positive and Gram Negative isolates:

When sensitivity pattern of Gram positive isolates was studied, Coagulase Negative staphylococci showed 100% sensitivity to Vancomycin, Linezolid and Tetracycline followed by Trimethoprim-Sulfamethoxazole (83.3%), Clindamycin (58.3%), Oxacillin (50%), and Erythromycin (25%).

Staphylococcus aureus showed 88.9% sensitivity to Linezolid, 77.8% sensitivity to Vancomycin and Tetracycline, followed by Clindamycin (66.7%), Erythromycin (44.5%), and 33.4% to Oxacillin and Trimethoprim- Sulfamethoxazole.

Enterococcus showed 100% sensitivity to Vancomycin, Linezolid and Ampicillin.

Streptococcus showed 100% sensitivity to Vancomycin, followed by 75% sensitivity to Ampicillin, Ciprofloxacin and Erythromycin. 50% sensitivity to Penicillin, Tetracycline and Trimethoprim- Sulfamethoxazole. (Table 3)

Amongst Gram Negative Bacilli, Enterobacter showed 100% sensitivity to Amikacin, Meropenem, and Ciprofloxacin.

Escherichia coli showed 100% sensitivity to Amikacin followed by Meropenem and Imipenem, Piperacillin- Tazobactam (90.9%) followed by Gentamycin (81.8%), then Ciprofloxacin and Trimethoprim- Sulfamethoxazole (36.4%).

Klebsiella showed 75% sensitivity to Amikacin, Ciprofloxacin, Gentamicin, Trimethoprim-Sulfamethoxazole, 62.5% sensitivity to Amoxyclav, 50% sensitivity to Levofloxacin and Piperacillin-Tazobactam, and 25% sensitivity to Cefepime, Imipenem, and Meropenem.

Proteus showed 100% sensitivity to Amikacin, Cefepime, Ciprofloxacin, Gentamicin, Levofloxacin, Meropenem, Amoxyclav, Piperacillin- Tazobactam and Trimethoprim-Sulfamethoxazole.

Acinetobacter showed 100% sensitivity to Amikacin, Cefepime, and Piperacillin - Tazobactam.

Alcaligenes fecalis showed 100% sensitivity to Amikacin, Ciprofloxacin, Levofloxacin, Trimethoprim- Sulfamethoxazole. Burkholderia- its strains showed 100% sensitivity to Levofloxacin and Trimethoprim-Sulfamethoxazole.

Pseudomonas showed 100% sensitivity to Amikacin, Gentamycin and Meropenem. 66.7% sensitivity to Amoxyclav. 50% sensitivity to Piperacillin- Tazobactam and Trimethoprim- Sulfamethoxazole. 33.4% sensitivity to Ciprofloxacin, Levofloxacin, Cefepime, Aztreonam. (Table 4)

Table 1

Organisms isolated by Conventional blood culture system (CBCS)

S. No

Organism

No. isolated

Percentage of isolation

1

Coagulase Negative Staphylococcus

12

25%

2

Enterococcus

01

2.08%

3

Staphylococcus aureus

09

18.75%

4

Streptococcus pneumoniae

03

6.25%

5

Klebsiella spp

06

12.5%

6

Escherichia coli

10

20.84%

7

Pseudomonas aeruginosa

04

8.33%

8

Proteus

03

6.25%

Total

48

100%

Table 2

Organisms isolated by Automated blood culture system (ABCS)

S. No

Organism

No. isolated

Percentage of isolation

1

Coagulase Negative Staphylococcus

12

20%

2

Staphylococcus aureus

10

16.67%

3

Enterococcus

01

1.67%

4

Streptococcus

04

6.67%

5

Enterobacter

01

1.67%

6

Escherichia coli

11

18.33%

7

Klebsiella

08

13.33%

8

Morganella

01

1.67%

9

Proteus

03

5%

10

Acinetobacter

01

1.67%

11

Alcaligenes fecalis

01

1.67%

12

Burkholderia

01

1.67%

13

Pseudomonas aeruginosa

06

10%

Total

60

100%

Table 3

Sensitivity patterns of Gram positive (+ve) isolates

Organisms

AMP

CD

CP

E

LZ

OX

P

TE

COT

VA

CONS

-

58.3%

-

25%

100%

50%

-

100%

83.3%

100%

Staphylococcus aureus

-

66.7%

-

44.5%

88.9%

33.4%

-

77.9%

-

77.9%

Enterococcus

100%

-

-

-

100%

-

-

-

-

100%

Streptococcus pneumoniae

75%

-

75%

75%

-

-

50%

50%

50%

100%

[i] CONS- Coagulase Negative Staphylococcus, AMP- Ampicillin, CD- Clindamycin, CP- Ciprofloxacin, E- Erythromycin, LZ- Linezolid, OX- Oxacillin, P- Penicillin G, TE- Tetracycline, COT- Trimethoprim – Sulfamethoxazole, VA- Vancomycin.

Table 4

Sensitivity patterns of Gram negative (-ve) isolates

Organisms

AMK

AMP

AO

CPM

CP

G

I

LE

MRP

AU

PT

COT

Enterobacter

100%

-

-

-

100%

-

-

-

100%

-

-

-

Escherichia coli

100%

-

-

-

36.4%

81.8%

100%

-

100%

-

90.9%

36.4%

Klebsiella

75%

-

-

25%

75%

75%

-

50%

62.5%

50%

75%

Proteus spp

100%

-

-

-

100%

100%

100%

-

100%

-

100%

100%

Acinetobacter spp

100%

-

-

-

100%

-

-

-

-

-

100%

-

Alcaligenes spp

100%

-

-

-

100%

-

-

100%

-

-

-

100%

Burkholderia spp

-

-

-

-

-

-

-

100%

-

-

-

100%

Pseudomonas aeruginosa

100%

-

33.4%

33.4%

33.4%

100%

-

33.4%

100%

66.7%

50%

50%

[i] AMK- Amikacin, AMP- Ampicillin, AO- Aztreonam, CPM- Cefepime, CP- Ciprofloxacin, G- Gentamicin, I-Imipenem, LE- Levofloxacin, MRP- Meropenem, AU- Amoxyclav, PT- Piperacillin + Tazobactam, COT- Trimethoprim – Sulfamethoxazole

Figure 1

Age wise analysis of study group

https://s3-us-west-2.amazonaws.com/typeset-prod-media-server/530f313e-1b0c-44fb-addb-17d8f55ca43aimage1.png

Figure 2

Gender wise analysis of study group

https://s3-us-west-2.amazonaws.com/typeset-prod-media-server/530f313e-1b0c-44fb-addb-17d8f55ca43aimage2.png

Discussion

Detection of septicemia in the initial stages plays a crucial role in helping the diagnosis and management of suspected cases. Morbidity and mortality are closely associated with septicemia. On-time recognition of microorganisms can have a positive effect on the ultimate outcome as the microbial isolation from blood has a great diagnostic and prognostic implication and purpose and its antibiogram can clearly guide the clinician about an accurate regimen for the treatment.

Our study aimed at identifying isolates causing bloodstream infections in critical care units and wards and their antibiotic susceptibility. A comparative study was carried out between conventional and automated blood culture systems.

In the automated blood culture, out of 100 clinical cases of septicemia, 60 isolates were isolated i.e., the rate of positive blood culture was 60% whereas in the conventional blood culture system only 48 isolates were isolated. In the study conducted by Azra S Hasan et al, the rate of positive blood culture was 45.5% with Automated Blood Culture System11 which correlates with the culture positivity rate which is 60% in our case.

In the BACTEC system, out of 100 cases, the percentage of isolation was 60%, Gram positive cocci accounted for 27 (45%). The most common pathogen being Coagulase negative Staphylococcus, followed by Escherichia coli. This study correlated with the study conducted by Sarangi et al in 201612 and with the study conducted by Qursheed Sultana, Humera Ansari et al in 2016 where a predominance of Gram positive isolates like Staphylococcus aureus & Coagulase negative Staphylococci was observed.13

Amongst Gram positive Cocci, Coagulase Negative staphylococci showed 100% sensitivity to Vancomycin followed by Linezolid and Tetracycline. This is correlated with the study conducted by Shahsanam Gheibi et al, where extreme sensitivity was discovered to Vancomycin.14 Staphylococcus aureus showed major (88.9%) sensitivity to Linezolid, followed by Vancomycin and Tetracycline. It is associated with the study done by Jones RN et al in 2006.15 Enterococcus showed 100% sensitivity to Vancomycin, Linezolid, and Ampicillin. It was relatable to the study done by Yadav G et al,16 where sensitivity was observed with Vancomycin and Linezolid. Streptococcus showed 100% sensitivity to Vancomycin, followed by sensitivity to Ampicillin, Ciprofloxacin, and Erythromycin.17

Amongst Gram Negative Bacilli, Enterobacter showed 100% sensitivity to Amikacin, Meropenem, and Ciprofloxacin. Garcinuño P et al, in their study, showed a higher microbiological success rate with Amikacin and Meropenem.18 Escherichia coli showed 100% sensitivity to Amikacin followed by Meropenem and Imipenem. A study done by Kidwai S et al showed Escherichia coli with highest sensitivity to Imipenem followed by Amikacin.19 Klebsiella,20 Proteus,21 Acinetobacter22 and Pseudomonas23 showed maximum sensitivity to Amikacin. Burkholderia strains showed 100% sensitivity to Levofloxacin24 and Trimethoprim-Sulfamethoxazole.25

The automated system showed 60% positivity as compared to 48% by conventional blood culture system of bacterial pathogens. Automated blood culture provides improved therapeutic results by enhancing the speed of the blood culture report within 12-16 hrs and the percentage of positivity. The conventional system is cost effective but, the automated blood culture system is more sensitive and rapid in detecting septicemia in patients.

Automated blood culture systems are a trustworthy substitute to conventional blood culture systems. The automated blood culture systems being more sensitive and rapid in detecting septicemia in subjects acts as an appropriate means for the initial identification and detection of blood pathogens.

Source of Funding

None.

Conflict of Interest

None.

References

1 

E Koneman S Allen Koneman. Diagnostico Microbiologico/ Microbiological diagnosis: Texto Y Atlas En Color/ Text and Color AtlasEd. Médica Panamericana2008

2 

JG Deku MP Dakorah SY Lokpo VN Orish FA Ussher GE Kpene The Epidemiology of Bloodstream Infections and Antimicrobial Susceptibility Patterns: A Nine-Year Retrospective Study at St. Dominic HospitalJ Trop Med201911010.1155/2019/6750864

3 

AM Alizadeh RK Movahed M Mohammadnia Comparative evaluation of conventional and bactec methods for detection of bacterial infectionTanaffos20161521126

4 

HA Khan FK Baig R Mehboob Nosocomial infections: Epidemiology, prevention, control and surveillanceAsian Pac J Trop Biomed20177547882

5 

B Lamy S Dargère MC Arendrup JJ Parienti P Tattevin How to optimize the use of blood cultures for the diagnosis of bloodstream infections? A state-of-the artFront Microbiol2016769710.3389/fmicb.2016.00697

6 

KP Prakash V Arora PP Geethanjali Bloodstream bacterial pathogens and their antibiotic resistance pattern in Dhahira region OmanOman Med J201126424079

7 

LL Rajan B Jayalekha PK Sreekumary S Harikumar A comparative study on conventional and automated blood culture in the early detection of bacterial pathogensJ Evol Med Dent Sci20176312502

8 

AM Minassian R Newnham E Kalimeris P Bejon BL Atkins ICJW Bowler Use of an automated blood culture system (BD BACTECTM) for diagnosis of prosthetic joint infections: Easy and fastBMC Infect Dis2014141233

9 

BA Forbes DD Sahm AS Weissfeld Bailey and scott s diagnostic microbiology5312th editionElsevier MosbySt. Louis, Mo2007

10 

J Hudzicki Kirby-Bauer Disk Diffusion Susceptibility Test Protocol Author Information. American Society For Microbiology2009123https://asm.org/getattachment/2594ce26-bd44-47f6-8287-0657aa9185ad/Kirby-Bauer-Disk-Diffusion-Susceptibility-Test-Protocol-pdf.pdf

11 

AS Hasan P Uppal S Arya MR Capoor D Nair H Chellani Comparison of BacT/Alert microbial detection system with conventional blood culture method in neonatal sepsisJ Pediatr Infect Dis200831215

12 

K Sarangi D Pattnaik S Mishra M Nayak J Jena Bacteriological profile and antibiogram of blood culture isolates done by automated culture and sensitivity method in a neonatal intensive care unit in a tertiary care hospital in Odisha, IndiaInt J Adv Med2015243879210.18203/2349-3933.ijam20151015

13 

Q Sultana H Ansari MAW Ansari Bacteriological profile and antimicrobial susceptibility patterns of organisms responsible for blood stream infectionsIndian J Microbiol Res2016321137

14 

S Gheibi Z Fakoor M Karamyyar J Khashabi B Ilkhanizadeh F Asghari-Sana Coagulase negative staphylococcus; the most common cause of neonatal septicemia in Urmia, Iran Iran J Pediatr200818323743

15 

RN Jones JE Ross TR Fritsche HS Sader Oxazolidinone susceptibility patterns in 2004: Report from the Zyvox® Annual Appraisal of Potency and Spectrum (ZAAPS) Program assessing isolates from 16 nationsJ Antimicrob Chemother200657227987

16 

G Yadav B Thakuria M Madan V Agwan A Pandey Linezolid and vancomycin resistant enterococci: A therapeutic problemJ Clin Diagn Res2017118711

17 

M Tuohy JA Washington Antimicrobial susceptibility of viridans group streptococciDiagn Microbiol Infect Dis19972941405

18 

P Garcinuño M Santibañez L Gimeno A Sánchez-Bautista J Coy J Sánchez-Paya Empirical monotherapy with meropenem or combination therapy: the microbiological point of viewEur J Clin Microbiol Infect Dis20163511185155

19 

SS Kidwai A Nageen S Ghaznavi F Bashir J Ara Antibiotic susceptibility in commonly isolated pathogens from urinary tract infection in a cohort of subjects from low socioeconomic strataPak J Med Sci20173322549

20 

P Patilaya DI Husori L Marhafanny Susceptibility of klebsiella pneumoniae isolated from pus specimens of post-surgery patients in Medan, Indonesia to selected antibioticsOpen Access Maced J Med Sci20197223861410.3889/oamjms.2019.520

21 

G Lazarević D Petreska S Pavlović Antibiotic sensitivity of bacteria isolated from the urine of children with urinary tract infections from 1986 to 1995Srp Arh Celok Lek199812611-124239

22 

S Jung JK Yu SH Shin KG Park DW Jekarl K Han Brief communication: False susceptibility to amikacin by VITEK 2 in acinetobacter baumannii harboring armAAnn Clin Lab Sci201040216771

23 

V Javiya S Ghatak K Patel J Patel Antibiotic susceptibility patterns of Pseudomonas aeruginosa at a tertiary care hospital in Gujarat, IndiaIndian J Pharmacol20084052304

24 

S Sethi M Sharma S Kumar L Singhal V Gautam P Ray Antimicrobial susceptibility pattern of Burkholderia cepacia complex & Stenotrophomonas maltophilia from North India: Trend over a decadeIndian J Med Res2007152665661

25 

DAB Dance V Davong S Soeng R Phetsouvanh PN Newton P Turner Trimethoprim/sulfamethoxazole resistance in Burkholderia pseudomalleiInt J Antimicrob Agents20144443689



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Article History

Received : 18-11-2021

Accepted : 08-12-2021


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https://doi.org/ 10.18231/j.ijmr.2021.065


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