Quantitative biofilm for bacterial pathogens of ventilator-associated pneumonia


Fitri Hapsari Dewi 1,2 , Suradi 3 , Bambang Purwanto 4 , Brian Wasita 5  
Authors’ affiliations:
  1. Doctoral Program, Faculty of Medicine, Universitas Sebelas Maret, Surakarta, Indonesia.
  2. Department of Anesthesiology and Intensive Therapy, Moewardi General Hospital, Surakarta, Indonesia.
  3. Department of Pulmonology and Respiratory Medicine, Dr. Moewardi General Hospital, Faculty of Medicine, Universitas Sebelas Maret, Surakarta, Indonesia.
  4. Department of Internal Medicine, Dr. Moewardi General Hospital, Faculty of Medicine, Universitas Sebelas Maret, Surakarta, Indonesia.
  5. Department of Anatomical Pathology. Dr. Moewardi General Hospital, Faculty of Medicine, Universitas Sebelas Maret, Surakarta, Indonesia.
Correspondence: Fitri Hapsari Dewi, Department of Anesthesiology and Intensive Therapy, Dr. Moewardi General Hospital, Jalan Ir. Sutami 36 Kentingan, Jebres, Surakarta, Jawa Tengah. Indonesia 57126; E-mail: rieffid14@gmail.com .

Abstract
Background & Objective: Ventilator–associated pneumonia (VAP) is one of the most common nosocomial infections in clinical care settings. Several bacteria with biofilm–producing ability offer serious challenge in their eradication. Prompt and accurate diagnosis is needed to provide the best care for the patients. This study aimed to analyze whether biofilm examination using quantitative method can be used as a diagnostic tool for bacterial pathogens associated with VAP.
Methodology: This observational analytical study was conducted in Intensive Care Units of three teaching hospitals in Surakarta, Central Java, Indonesia, from November 2019 to April 2020. The subjects were between 19 and 65 y old, with a newly introduced endotracheal tube (ETT) connected to mechanical ventilators, and without pneumonia. Biofilm quantitative measurement used a microtiter plate method from bacterial culture found on ETT at the 48th hour after being mechanically ventilated. The Clinical Pulmonary Infection Score (CPIS) assessment was done at the 48th hour and CPIS of less than 6 was defined as VAP. The analysis used Spearman’s rank and Kendall tau–b correlation. The samples were taken using a consecutive sampling technique.
Results:  A significant correlation between biofilm and VAP was found (ρ = 0.039, p < 0.05). Biofilm was also sufficiently correlated with an increase in CPIS (τb = 0.341, p < 0.05)
Conclusions: Quantitative biofilm can be used as a diagnostic tool for establishing the diagnosis of VAP so that appropriate therapy can be administered immediately.
Key words: Bacterial pathogen; Biofilm; Ventilator–associated pneumonia
Abbreviations: CPIS: Clinical Pulmonary Infection Score; VAP: Ventilator–associated pneumonia; ETT: Endotracheal tube; PCR: Polymerase chain reaction; OD: Optical density
Citation: Dewi FH, Suradi, Purwanto B, Wasita B. Quantitative biofilm for bacterial pathogens of ventilator-associated pneumonia. Anaesth. pain intensive care 2021;25(2):132-137.
DOI: 10.35975/apic.v25i2.1468
Received: 24 September 2020, Reviewed: 27, 30 October 2020, Accepted: 3 March 2021

Introduction
Intubation using endotracheal tube (ETT) increases the risk of lung infection by 6–10 times compared to non–intubation.1 Intubation opens epiglottis, disrupting cough reflex, mucociliary clearance disorder, and enables bacteria to bind with tracheal and bronchial cells.2 Application of mechanical ventilator connected to ETT can lead to lung infection, known as ventilator associated pneumonia (VAP) with Clinical Pulmonary Infection Score (CPIS) of > 6. Secretion originating from the oropharynx or gastrointestinal tract is common to cover ETT balloon, which facilitates microaspiration. This condition provides an ideal environment for bacterial biofilm.3 Biofilm formation in this area is one of the main causes of VAP.4
Biofilm is a form of bacterial survival mechanism to avoid host defense system; and it is one of the virulence factors in bacterial infection cases.5,6 Biofilm can be found in implants or other devices fitted to patients. Endocarditis, septic arthritis, and VAP are some of the consequences of the biofilm. Detecting biofilm and identifying appropriate biofilm eradication agents are important for establishing correct diagnosis and management of sepsis.1,5,7,8
Biofilm can be examined by various methods, including roll plate, tube method, polymerase chain reaction (PCR), and microtiter plate.9 Microtiter plate is the most common method for examining biofilm. It is done by measuring the amount of biofilm on the plate quantitatively using a microELISA method. This method requires bacterial growth in the plate, which is then stained with a non–specific stain. After staining, the plate is then washed using ethanol 90%–95%, pure ethanol, or mixed with acetone or acetate acid. The stained bacteria are then measured using UV spectrometer with a wavelength of 530–600 nm. Biofilm examination using a microtiter plate method is cheap, easy, and efficient as we can examine some samples at once.10,11 We used the microtiter plate method to examine the biofilm in which result can be used as an alternative diagnostic tool for VAP, leading to proper therapy.

Methodology
It was an observational analytical study using prospective cohort design conducted from November 2019 to April 2020, in three teaching hospitals in Surakarta, Central Java, Indonesia. The samples were taken by the consecutive sampling technique. Patients aged between 19 and 65 y, with newly inserted ETT connected to mechanical ventilators and without pneumonia, were included in the study. We excluded pregnant patients, those with bronchiectasis and fibrosis.
We used sputum samples at 48th h post–mechanical ventilation initiation. The samples were determined whether they were adequate or poor in quality, and only adequate sputum samples were analyzed for bacterial culture and quantitative biofilm measurement using a microtiter plate method. Biofilm examination result was then interpreted as strong biofilm if the optical density (OD) of the stained bacteria was more than 4x ODc value, moderate biofilm if bacterial OD was > 2x and < 4x ODc, weak biofilm if bacterial OD was > ODc and < 2x ODc, and negative biofilm if bacterial OD was < ODc value.
VAP was defined as CPIS of > 6 at 48th h post–mechanical ventilation. The data recorded for CPIS were; body temperature, leukocyte count, tracheal secretion characteristic, oxygenation, culture of tracheal aspirate specimen, and chest X–ray (Table 1).

A4-T1.

Statistical Analysis: We used Spearman’s rank correlation coefficient to determine the correlation between biofilm and VAP diagnosis. Subsequently, we used Kendall’s tau–b correlation to find the direction of the correlation between increasing biofilm production and VAP diagnosis. We used IBM Statistical Product and Service Solutions (SPSS) version 25 to analyze the data.

Results
During the 6–month study period, 49 mechanically ventilated patients met our inclusion criteria. Of these, 12 subjects were dropped out due to being extubated and death before the 48th hour of ventilation. Most of our study subjects were patients undergoing intensive care after elective or emergency operative procedures. Our study subjects were predominantly males, e.g., 56.75% vs. 43.25% being the females. Most of study subjects were between 19 and 60 y old (81.08%) (Table 2).

A4-T2.

Of the 37 samples we obtained negative biofilm in 23 samples and positive biofilm in 14 samples comprising 10 with weak biofilm concentration and 4 with moderate biofilm concentration (Figure 1).

A4-Fig1

Of these positive biofilms, 9 samples were identified as to be with VAP, as they had CPIS of ≥ 6 (Figure 2).

A4-Fig2

We found that only 14.8% (23/27) of the biofilm–negative group had CPIS of 6 or higher, which raises the possibility of VAP. In the weak biofilm–producing group, 30% (3/10) had CPIS of 6 or higher. We found that 50% (2/4) of the moderate biofilm–producing group had high CPIS indicating VAP.
We obtained 48 specimens and found that Gram–negative bacteria were more common cause of VAP than Gram–positive bacteria (81% vs 17%). There was one unidentified microorganism (2%).
We used Spearman’s rank correlation to find a correlation between biofilm production and VAP diagnosis through CPIS. Spearman’s correlation test revealed adequate significant correlation between biofilm and CPIS > 6 (ρ = 0.341, p = 0.039). To see the direction between these two variables, we used Kendall’s tau–b test. Kendall’s tau–b test showed that biofilm production had adequate significantly correlated with the increase in CPIS (τb = 0.341, p = 0.041) (Table 3).

A4-T3

Discussion
Antibiotics play an important role in VAP therapy.12 Inappropriate antibiotics increase the risk of microbial antibiotic resistance. We provide an alternative method of identification of the etiological bacteria of VAP by using a quantitative biofilm method based on culture of bacteria. The most common method to achieve this is through biofilm quantitative assay using microtiter plate.11 Thus, appropriate antibiotic for responsible pathogen bacteria can be administered to reduce the incidence of multidrug resistance.13,14
Previous studies by Danin in 2015 found that biofilm was present in subjects with ETT regardless of the duration of being on mechanical ventilation.7 This is not in line with our findings in which only 14 samples out of 37 samples had biofilm. This discrepancy may be due to the different method in examining biofilm. In this study, we examined the quantitative biofilm using sputum from ETT analyzed using a microtiter plate method while Danin et al. used samples from ETT lumen analyzed using electron microscopy for the quantitative assay.
This study used endotracheal aspirates (ETA) as the sputum sample. Based on the guidelines, ETA is a noninvasive sputum extraction method.15,16,17 This study also points out that adequate sputum samples are important for analysis.18,19 Based on the study by Perotin et al., in 2012, biofilm is supposed to be identified if the sample collection is not from sputum but directly from the tube lumen. This study also revealed that Gram–negative bacteria were the primary cause of VAP,4 a similar finding to that of our study.
We used CPIS because it has been widely used as a reliable diagnostic tool for diagnosing AP. The sensitivity of CPIS system is higher than relying on clinical criteria alone, the current gold standard for diagnosing VAP.20–22 CPIS analysis has 89% sensitivity and 47% specificity for diagnosing VAP.23 Our study revealed that after being mechanical ventilation for 48 h, 9 patients had CPIS ≥ 6 and were diagnosed with VAP. A study by Azmy M stated that the duration of being on ETT influenced the diagnosis of VAP. The incidence of VAP increased significantly in patients with ETT for more than 5 days.24
Antibiotic resistance has become a major concern today. Therefore, using a faster and more precise diagnosis can support more appropriate therapy and reduce multidrug resistance related to VAP. Based on our results it is suggested that biofilm quantitative with microtiter plate method should be routinely conducted on patients who are mechanically ventilated.

Limitations
Our study is limited by several factors. First of all, the sputum samples were obtained from ETA. This method is unknown as the best method for sputum extraction. However, this procedure is also used in other studies because it is noninvasive and the result is similar to that of invasive sputum extraction. This sputum extraction method does not require special tools and skills in the process. Secondly, we only used adequate sputum samples. Lastly, we diagnosed VAP only at 48th hours after the patient was mechanically ventilated. Although this is a gold standard, several studies do find that longer duration of ET correlates with VAP.

Conclusion
Quantitative biofilm measurement can be an alternative diagnostic tool for diagnosing VAP to give appropriate therapy.

Conflict of interest
No conflicts of interest/competing interest was declared by the authors.

Authors’ contribution
Suradi and Bambang Purwanto: Supervised the research and assessment of research report process
Brian Wasita: Conceived and designed the analysis
Fitri Hapsari Dewi: Literature search, collected and analyzed data, and wrote the manuscript.

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