|Year : 2018 | Volume
| Issue : 1 | Page : 9-12
Bedside clinical tests as a screening tool for predicting difficult laryngoscopy and intubation: An observational study
Hemlata V Kamat1, Manoj Raju Prabandhankam2, Bhumika Pathak1, Ajay Phatak3
1 Department of Anaesthesiology, Pramukhswami Medical College, Karamsad, Gujarat, India
2 Department of Anaesthesiology, Narayana Medical College and Hospital, Nellore, Andhra Pradesh, India
3 Central Research Services, Charutar Arogya Mandal, Anand, Gujarat, India
|Date of Web Publication||11-Jan-2019|
Dr. Manoj Raju Prabandhankam
S/O Dr. P.S. Raju, Plot No. 16, SVU Non-teaching Colony, Opposite Vidyanagar Colony, Tirupati, Chittoor - 517 502, Andhra Pradesh
Source of Support: None, Conflict of Interest: None
Context: Morphological characteristics of the airway in a population have regional variations making airway assessment and management a crucial aspect of anaesthesia practice. Aims: (1) To determine the incidence of difficult laryngoscopy and intubation using Cormack–Lehane grading and Intubation Difficulty Scale (IDS). (2) To assess the accuracy of bedside clinical tests in predicting difficult laryngoscopy and intubation. Settings and Design: Prospective observational study was carried out on 200 patients aged 18–70 years, undergoing planned surgical procedures under general anaesthesia requiring endotracheal intubation. Pregnant women, patients with head-and-neck pathology, and patients with trauma were excluded from the study. Patients and Methods: All patients underwent preoperative airway assessment and standard induction procedure. Cormack–Lehane grading was noted during first laryngoscopy and process of intubation evaluated by IDS. Statistical Analysis Used: Descriptive statistics used to depict baseline profile. Chi-square, Student t-test and logistic regression used to determine adjusted effects. Analysis was performed using STATA (14.2). Results: The incidence of difficult laryngoscopy was 15.5% and difficult intubation was 12.5%. Univariate analysis showed body mass index (BMI) >25 kg/m2, neck circumference (NC) >36 cm and modified Mallampati score 3/4 as significant predictors. Logistic regression showed interincisor gap (IIG) (P < 0.001) and NC (P < 0.001) as significant predictors. Conclusions: NC and IIG are rapid, simple bedside tests to predict difficult intubation. Bedside clinical tests have poor discriminative power but still have a role in choosing alternative methods for airway management, making judicious use of time and resources while causing minimum discomfort to the patient.
Keywords: Difficult intubation, interincisor gap, neck circumference, preoperative bedside airway assessment
|How to cite this article:|
Kamat HV, Prabandhankam MR, Pathak B, Phatak A. Bedside clinical tests as a screening tool for predicting difficult laryngoscopy and intubation: An observational study. Airway 2018;1:9-12
|How to cite this URL:|
Kamat HV, Prabandhankam MR, Pathak B, Phatak A. Bedside clinical tests as a screening tool for predicting difficult laryngoscopy and intubation: An observational study. Airway [serial online] 2018 [cited 2019 Aug 18];1:9-12. Available from: http://www.arwy.org/text.asp?2018/1/1/9/250030
| Introduction|| |
An anaesthesiologist must assess the patient preoperatively and devise an appropriate plan of anaesthesia to have a safe outcome. Preoperative assessment of airway can reduce the incidence of difficult laryngoscopy and intubation., The diagnostic accuracy of bedside screening tests has varied from study to study probably because of differences in the incidence of difficult laryngoscopy, inadequate statistical power, different test thresholds and the difference in patient characteristics.
Obesity is a growing problem globally and anaesthesiologists frequently encounter such patients whose airway management is their main responsibility. In the Asian population, obesity-related diseases are associated with much lower body mass index (BMI) than their Caucasian counterparts. Hence, the Health Ministry of India redefined overweight and obesity as BMI ≥23 kg/m2 and ≥25 kg/m2, respectively. The majority of studies of difficult laryngoscopy and intubation have been performed in the Western population. Anthropometrically, Indians are different compared to the Americans or Europeans.
| Patients and Methods|| |
After obtaining the Institutional Ethics Committee approval with waiver of consent, 200 patients belonging to the age group of 18–70 years scheduled for planned surgery under general anaesthesia and requiring endotracheal intubation were considered in this prospective study. Patients with upper airway pathology, neck mass, cervical spine injury and pregnant women were excluded from the study.
All patients underwent preanaesthetic assessment by one investigator to avoid interobserver variation. During preanaesthetic check-up, modified Mallampati score (in the sitting position), neck movements, upper lip bite test, thyromental distance, sternomental distance, interincisor gap (IIG), neck circumference and the ratio of height-to-thyromental distance was obtained. Patient's height in standing position (cm) and weight (kg) were measured and BMI was calculated. Difficult airway cart was kept ready for all cases before induction. All patients were given tablet alprazolam 0.25 mg (for <50 kg) and 0.5 mg (for >50 kg) on the night before surgery. All patients received injection ondansetron 0.15 mg/kg on the day of surgery (45 min prior). In the operation theatre, standard monitors (5-electrode electrocardiogram monitoring Lead II, noninvasive blood pressure, pulse oximeter, capnography and peripheral nerve stimulator) were established. The patient was preoxygenated for 3 min with 100% oxygen through bag and mask, following which anaesthesia was induced with midazolam 0.02 mg/kg, fentanyl 2 μg/kg and propofol 2 mg/kg. Succinylcholine 2 mg/kg or vecuronium 0.1 mg/kg was administered once the ability to ventilate was confirmed using bag and mask.
Patient was positioned in sniffing position; laryngoscopy and intubation were performed after complete muscle relaxation (no twitches on the ulnar nerve stimulation confirmed using the train-of-four mode on a peripheral nerve stimulator). Endotracheal intubation was carried out by an anaesthesia provider who had performed a minimum of 100 successful intubations and who was unaware of the airway measurements of the patients. Macintosh blade #3 for females and #4 for males was used to perform laryngoscopy. The Cormack–Lehane grading was noted by the anaesthesia personnel who performed the intubation. View obtained at first laryngoscopy was noted for Cormack–Lehane grading. The whole intubation process was scored by using seven measurable variables as outlined by the Intubation Difficulty Scale (IDS) [Table 1]. The IDS is a scoring system for evaluating intubation difficulty which takes into account both subjective and objective criteria.
On the basis of a previous study that reported an 8% incidence of difficult laryngoscopy in the Indian population, calculation of power of study showed that 184 patients will be required to demonstrate significant difference between patients with easy and difficult intubation with use of α = 0.05 and β = 0.20. We included 200 patients to account for any dropouts.
Descriptive statistics in the form of mean, standard deviation for interval variables and frequency, and percentage for categorical variables have been performed to depict baseline data. Student t-test and Chi-square tests were used accordingly. All significant and important variables for difficult laryngoscopy and intubation were selected for multivariate logistic regression. Stepwise forward multivariate logistic regression analysis was performed to see important risk factors for difficult laryngoscopy and intubation. A P < 0.05 was considered to be statistically significant. STATA(14), College Station, TX: StataCorp LP software was used for the statistical analysis.
| Results|| |
The data obtained from 200 patients was analysed. Demographic data of the population is presented in [Table 2]. Univariate analysis was done both with Cormack–Lehane grading and IDS score with variables [Table 3]. Multivariate regression analysis was performed for the following parameters-modified Mallampati score, IIG, neck circumference, upper lip bite test, and ratio of height-to-thyromental distance. Only IIG and neck circumference (NC) were identified as significant predictors of difficult intubation (P < 0.05) [Table 4].
The incidence of difficult laryngoscopy was 15.5% and difficult intubation was 12.5% in our study. Out of all the clinical bedside tests used to predict difficult intubation, NC (ROC cutoff value >36 cm) and IIG –3.93 (±0.73) cm are the two tests with highest specificity (97%) which were able to predict difficulty in the study population. However, the sensitivity (16%) of these tests was very poor.
| Discussion|| |
Difficult intubation is a common problem that anaesthesiologists can face every day in the operating room. The definition of difficult intubation is not uniform as it involves a complex interaction between patient factors, clinical settings and the skill of anaesthesiologists. Identification of risk factors for difficult intubation is important to distinguish between anticipated and unanticipated difficult airway to take precautions. There are many studies and meta-analysis attempting to determine the best single method or combination of methods for predicting difficult intubation; there is a significant difference between the studies. This variation could be because of the difference in the patient characteristics as most of these studies were conducted in the Western population. There is a significant difference in the anthropometry of Indian versus the Western population that is also translated into the anatomical indices used to predict difficult laryngoscopy. Thus, it is important to analyse whether the same parameters and cutoff values can be applied to the Indian population to predict difficult airway. The traditional conventional laryngoscopy cannot be replaced by recent advances in supraglottic devices, fibreoptic scopes, and videolaryngoscopes.
The association between obesity and difficult intubation is a matter of debate. Obesity is a recognised risk for obstructive sleep apnoea, diabetes mellitus and hypertension. Obese patients have fatty tissue around neck and peripharyngeal tissue which varies according to race.
The incidence of difficult laryngoscopy differs in various studies, the higher incidence being seen with less experienced anaesthesiologists.,, In our study, the incidence of difficult laryngoscopy was 15.5% without external laryngeal manipulation. After going through the various studies, experience of anaesthesiologist performing the laryngoscopy and intubation was found to be a common factor.,
When difficulty during intubation was encountered, most of the anaesthesiologists in our study initially applied simple manoeuvres such as laryngeal pressure, additional lifting force or use of the stilette. This strategy follows the guidelines published by the Difficult Airway Society for unanticipated difficult intubation in a nonobstetric adult patient. Univariate analysis in the present study showed age, body mass index, modified Mallampati scale, IIG, NC and upper lip bite test as significant predictors. However, logistic regression identified IIG and NC as important predictors of difficult intubation in our study.
NC at the thyroid cartilage is a valuable predictor of difficult laryngoscopy and intubation in both obese and lean patients. There are studies in the Western population stating increased NC (>40 cm) being associated with difficult laryngoscopy and intubation in obese patients and some studies compared ease of intubation between obese and lean patients.,, However, the cutoff value of BMI for obesity in Indians is different from Western population. In Indian study with lean patients (BMI <25 kg/m2) and obese patients (BMI ≥25 kg/m2), NC of >35 cm is associated with IDS ≥5, indicating that the Indian population has a fat distribution which is different from the western population.
We studied 200 patients belonging to the general population whose mean BMI was 23.28 (±4.70) kg/m2. Our study showed NC >36 cm as a predictor of difficult intubation; on univariate and multivariate analysis (P value on logistic regression <0.0001) [Table 4].
IIG is the distance between the upper and lower incisors, and a distance >3.5 cm is generally not associated with difficult laryngoscopy and difficult intubation. Prakash et al. included 330 adult patients in their study. They stated IIG ≤3.5 cm as a predictor of difficult laryngoscopy. Our study showed IIG as a predictor for difficult intubation (mean value of 3.34 [±0.55] cm, P < 0.0001) on logistic regression.
As this was an observational study where many consultants were involved in the conduct of anaesthesia, the choice of muscle relaxant was not standardised. To ensure complete muscle relaxation when vecuronium was used, a peripheral nerve stimulator over the ulnar nerve was used and endotracheal intubation performed after complete abolition of twitches to train-of-four stimulation. In the case of succinylcholine, complete paralysis was assumed after muscle fasciculations faded from toes and fingers. Though complete muscle relaxation was ensured before endotracheal intubation, the fact that the muscle relaxant was not standardised could be considered a weakness of our study.
| Conclusions|| |
The incidence of difficult laryngoscopy was 15.5% and difficult intubation was 12.5% in our study.
Out of all the clinical bedside tests used to predict difficult intubation, NC (ROC cut-off value >36 cm) and IIG 3.93 (±0.73) cm are the two tests with the highest specificity (97%) which can predict difficulty in the study population. The sensitivity (16%) of these tests was very poor.
Although there are many clinical bedside tests to predict difficult laryngoscopy and intubation either singly or in combinations with moderate-to-poor sensitivity and specificity, these tests give a brief idea to plan and think for alternative methods of securing the airway optimally using the available resources, causing minimal discomfort to the patients. Knowing the parameters or tests which have comparatively high degree of sensitivity and specificity, which can be rapidly applied in the particular population helps in planning airway management, especially in emergency situations. As an anaesthesiologist, we should “never fail to prepare for failure”!
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Conflicts of interest
There are no conflicts of interest.
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[Table 1], [Table 2], [Table 3], [Table 4]