JCDR - Register at Journal of Clinical and Diagnostic Research
Journal of Clinical and Diagnostic Research, ISSN - 0973 - 709X
Internal Medicine Section DOI : 10.7860/JCDR/2021/47883.14975
Year : 2021 | Month : Jun | Volume : 15 | Issue : 06 Full Version Page : OC12 - OC15

Factors Predicting the Outcome of Non invasive Ventilation in Acute Respiratory Failure Secondary to Chronic Obstructive Pulmonary Disease Exacerbation

Pugazhendhi Selvam1, Subramani Suriyan2, Rowhit Yanamadala3, Rathish Manimohan4, Vandhana Pagadal5, Anuthara Hareendran6

1 Postgraduate Student, Department of Pulmonary Medicine, SRM Medical College Hospital and Research Centre, Chennai, Tamil Nadu, India.
2 Professor, Department of Pulmonary Medicine, SRM Medical College Hospital and Research Centre, Chennai, Tamil Nadu, India.
3 Postgraduate Student, Department of Pulmonary Medicine, SRM Medical College Hospital and Research Centre, Chennai, Tamil Nadu, India.
4 Postgraduate Student, Department of Pulmonary Medicine, SRM Medical College Hospital and Research Centre, Chennai, Tamil Nadu, India.
5 Senior Resident, Department of Pulmonary Medicine, SRM Medical College Hospital and Research Centre, Chennai, Tamil Nadu, India.
6 Postgraduate Student, Department of Pulmonary Medicine, SRM Medical College Hospital and Research Centre, Chennai, Tamil Nadu, India.


NAME, ADDRESS, E-MAIL ID OF THE CORRESPONDING AUTHOR: Pugazhendhi Selvam, 33/Officers Colony, Anna Nagar, Chennai, Tamil Nadu, India.
E-mail: pugazhtamizh7@gmail.com
Abstract

Introduction

Non invasive Mechanical Ventilation (NIV) is a better alternative for treating respiratory failures of any cause compared to invasive ventilation. Various factors influence the outcomes of patients treated with NIV in acute respiratory failure divondary to Chronic Obstructive Pulmonary Disease (COPD).

Aim

To determine the possible early predictors and associated factors influencing the outcome of NIV in acute respiratory failure due to COPD patients.

Materials and Methods

This was hospital-based observational study undertaken at SRM Medical Hospital and Research Centre in the Respiratory Medicine Department, after obtaining ethical clearance and informed patient consent. All patients with COPD exacerbation were admitted to the respiratory medicine ward. An Arterial Blood Gas (ABG) analysis was carried out, and those patients with type 2 respiratory failure were included in the study. This study included 42 patients with acute respiratory failure divondary to COPD requiring NIV. Data of patient’s ABG parameter, heart rate, blood pressure, and respiratory rate baseline values at an interval of one hour, six hours, and every 24 hours were recorded. The outcome was divided into two categories depending upon whether patients improved or required invasive ventilation. Data were entered in Microsoft Excel datasheet and was analysed using Statistical Package for Social Sciences (SPSS) 22.0 version software.

Results

Of 42 patients, 30 (71.42%) were treated successfully with NIV, while 12 (28.57%) required invasive ventilation and were declared NIV failure (requiring invasive ventilation). Among the patients, it was observed that patients with mean age >60 years, BMI >26.5, baseline pH <7.2, PaCO2 >78, heart rate >120, respiratory rate >40, co-morbidities and infective exacerbation were requiring invasive ventilation. It was also observed that among the failure category patients treated with conventional Spontaneous and Timed (S/T) mode showed more failure rates than Average Volume Assured Pressure Support (AVAPS) S/T mode.

Conclusion

Patients with acute respiratory failure divondary to COPD responds well to NIV. The baseline pH, PaCO2, HR and Respiratory Rate (RR) before initiation of NIV predicts outcome. Also, age, BMI, associated comorbidities and mode of NIV predicts the outcome.

Keywords

Introduction

“Chronic Obstructive Pulmonary Disease (COPD) is a common, preventable and treatable disease that is characterised by persistent respiratory symptoms and airflow limitation that is due to airway and/or alveolar abnormality usually caused by significant exposure to noxious particles or gases and influenced by host factors including abnormal lung development” [1] as per The Global Initiative of Chronic Obstructive Lung Disease (GOLD) 2020. COPD is a progressive, chronic disease, and eventually, many patients develop respiratory failure. Patients with COPD exacerbations are treated with oxygenation, bronchodilators, antibiotics, and corticosteroids. Patients who fail to respond to the traditional treatment are managed with mechanical ventilation which can be invasive or Non invasive [2,3].

NIV is considered superior and safer than invasive ventilation because of its significant advantage in the ventilatory management of acute type 2 respiratory failure secondary to COPD [1]. The NIV use is associated with a significant reduction in the need for endotracheal intubation and its complication. Although the success rate is higher with NIV treatment, failure also has been observed to a small extent [4-6]. Therefore, patients on NIV must be observed closely for signs of treatment failure and should be intubated promptly before a catastrophe occurs. So, identifying the early predictors in managing those patients for a better outcome is mandatory.

The study aimed to determine the possible early predictors and associated factors influencing the outcome of NIV in acute respiratory failure due to COPD.

Materials and Methods

This was a hospital-based observational and analytical study that was undertaken in the Respiratory Medicine Department at SRM Medical Hospital and Research Centre, Jaipur, Rajasthan, India. The study duration was one and a half years (February 2019- August 2020) from the date of obtaining ethical clearance (1636A/IEC/2019). A total of 42 patients with respiratory acidosis secondary to COPD (pH <7.35 and PaCO2 >45 mmHg) attending respiratory medicine Outpatient Department (OPD).

Sample size: Mean PaCO2 after treatment in two groups was 53.2±9, 45.4±7.9 based on a previous study [7] with 95% confidence and 80% power. The sample size was 42; 21 members in each group.

Inclusion and Exclusion criteria: COPD patients with respiratory acidosis (pH <7.35 mm Hg) and type 2 respiratory failure (PaCO2 >45 mmHg) were included. Low Glasgow Coma Scale (GCS), Haemodynamic instability, facial deformity, obstruction of the upper airway from recent trauma/surgery, pneumothorax, cardiogenic pulmonary oedema, cardiopulmonary arrest, patients with Arterial Blood Gas (ABG) showing pH <7.10, haemoptysis or haematemesis, other causes of type 2 respiratory failure except for COPD were excluded.

Demographic data, history including co-morbidities, relevant investigations, modes of NIV setting AVAPS or S/T, sputum organism growth and clinical outcomes of all the patients were recorded in a structured pro forma. Data of patient’s ABG parameter, heart rate, blood pressure, and respiratory rate baseline values were noted and at an interval of one hour, six hours, and every 24 hours. The baseline parameters between two modes of NIV ventilation (AVAPS and S/T mode) among the NIV failure category were also compared. The duration and severity of COPD illness were not considered. There were two study endpoints:

Success [7,8]: Decrease of at least 20% in respiratory rate compared with spontaneous breathing, refinement in ABGs with pH >7.35, decrease in PaCO2 of the atleast 15% compared with spontaneous breathing while maintaining Saturation of Peripheral Oxygen (SPO2) (with or without oxygen) 88-92% or when the subjective criteria showed improvement in the patient dyspnea and a significant decrease in PaCO2 of >15% (compared with the initial PaCO2 value under spontaneous breathing) after one hour of therapy and successful clinical and ABG improvement at the time of discharge.

Failure [8]: During NIV if patient develops respiratory arrest, bradycardia (50/minute) with loss of consciousness, hypotension (Systolic BP <70 mmhg), and refractory hypoxemia inability to maintain a SPO2 more than 90% (despite high Fraction of Inspired Oxygen (FiO2) more than 60%), increased respiratory rate compared with its initial value at admission (assessed at regular interval) these are the criteria for terminating NIV (NIV failure) and switching to invasive ventilation. If the patient develops these signs/symptoms during NIV, then those patients will be considered as failure as early as within one hour of initiation of NIV.

Statistical Analysis

Parameters were tabulated and analysed by SPSS software version 22.0. The quantitative variables were analysed using Student’s t-test and qualitative variables were analysed using the Chi-square test. A p-value of less than 0.05 was considered statistically significant.

Results

Of 42 patients, there were 27 male and 15 female with a mean age of 56.83 years. Among them, 30 (71.42%) patients improved with NIV and 12 (28.58%) patients were considered NIV failure as per the criteria specified in the methodology [Table/Fig-1].

Comparison of baseline parameters between NIV success and failure category.

ParametersNIV Success (n=30)NIV Failure (n=12)p-valueCI 95%
Age55.13±5.82361.08±5.4520.0041-9.90101 to -1.99899
Sex
Male1980.8386-
Female114
BMI (kg/m2)19.62±3.2226.65±5.6490.0001-9.81645 to -4.24355
pH (Baseline)7.26±0.0347.2±0.0490.00010.03328 to 0.08672
PaCO2 (Baseline)69.98±7.10278±5.4610.0011-12.63896 to -3.40104
Heart rate (Baseline) (beats/min)115.33±5.033120.92±8.3930.0111-9.83070 to -1.34930
Respiratory rate (Baseline) (breath/min)34.33±3.08940.33±3.3670.0001-8.18688 to -3.81312
Sputum organism growth
Yes460.0117-
No266
Co-morbidities
Yes990.0077-
No213

*Co-morbidities- diabetes; hypertension; chronic kidney disease and ischemic heart disease


Among 42 patients, the mean age of patients in the success category was 55.13±5.823, while in the failure category, it was 61.08±5.452. It was observed that patients with age >60 years had a poor outcome in NIV management of acute respiratory failure secondary to COPD. On comparing the mean BMI between success (19.62±3.22) and failure category (26.65±5.649), it was noted that patients who were overweight (BMI >25) were predominantly present in failure category than in success category.

In the success category, the mean baseline pH was 7.26±0.034 while in failure category it was 7.2±0.049 which was statistically significant. It is evident that patients who present with initial pH >7.25 have a better outcome without any need for invasive ventilation. Out of 42 patients, 35 patients (83.33%) showed improvement in pH after one hour of initiating NIV treatment. At the same time, 7 (16.66%) had deterioration within one hour itself. Within the 35 patients who showed an initial improvement, five patients had decline in pH when ABG was repeated after six hours interval and clinically these patients deteriorated. So, these patients were also considered failure and were intubated.

Overall, 30 patients had successful outcome with respect to PaCO2. The mean baseline PaCO2 in success category was 69.98±7.102 while in failure category it was 78±5.461 [Table/Fig-1]. Out of 42 patients, 34 patients (80.95%) showed improvement in PaCO2 after one hour of initiating NIV treatment. In contrast, 8 (19.04%) had deterioration within one hour itself. Within the 34 patients who showed an initial improvement, four patients had a decline in PaCO2 when ABG was repeated after six hours interval. So, these patients were also declared as NIV failure and were intubated. Therefore, a patient who presents with initial PaCO2 <70 and patients who show improvement within one hour of initiating NIV appears to a good predictor was successful NIV outcome.

At the time of admission, all patients presented with tachycardia and tachypnoea. The mean baseline HR was 116.92 while the RR was 36.04. The success category patients had significantly lesser HR (115.33±5.033) and RR (34.33±3.089) than the failure category (HR=120.92±8.393, RR=40.33±3.367), which was statistically significant with p-value <0.01 [Table/Fig-1]. So patients who present with tachycardia and tachypnoea on the lower limit (HR <120 and RR <35) have a better outcome.

Co-existing co-morbidities and infective exacerbation (in sputum) also play a significant role in predicting the outcome of NIV success. Out of 42 patients, 18 (42.85%) had co-morbidities, among which 9 (21.42%) were in failure category. With respect to sputum examination, 10 patients (23.8%) had growth, among them 6 (14.2%) were in failure category [Table/Fig-1].

Overall, 23 (54.76%) patients received AVAPS-S/T mode, and 19 (45.23%) patients received S/T mode of NIV treatment. Among the failure category with 12 patients, it was observed that only 4 (33.33%) were on AVAPS mode and 8 (66.67%) were in S/T mode [Table/Fig-2].

Comparison of baseline parameters between AVAPS and S/T mode among NIV failure category.

ParametersAVAPS (n=4)S/T (n=8)p-valueCI 95%
Age60.75±4.11361.25±6.2740.8892-8.29401 to 7.29401
Sex
Male350.665-
Female13
BMI (kg/m2)26±6.68326.98±5.5350.7918-9.03420 to 7.07420
pH (Baseline)7.205±0.0677.19±0.0420.6401-0.05433 to 0.08433
PaCO2 (Baseline)76.75±4.99278.63±5.9020.5984-9.58154 to 5.82154
Heart rate (Baseline) (beats/min)120.25±11.615121.25±7.2460.8563-12.99054 to 10.99054
Respiratory rate (Baseline) (breath/min)40.25±3.09640.38±3.7010.9532-4.94706 to 4.68706
Sputum organism growth
Yes240.4652-
No24
Co-morbidities
Yes361-
No12

*Co-morbidities- diabetes, hypertension, chronic kidney disease and ischemic heart disease


Also, in failure group in was observed that the mean baseline of pH, PaCO2, HR and RR was comparable between AVAPS and S/T group. This implies that the AVAPS and S/T group has the same baseline value, but still, the incidence of failure in S/T group was higher.

In this study, 23 patients received AVAPS mode of ventilation in which 4 (9.52%) patients belonged to NIV failure category while remaining 19 patients received S/T mode in which 8 (19.04%) patients were NIV failure [Table/Fig-2]. Although the baseline values in the AVAPS group and S/T group were comparable and statistically insignificant, the incidence of NIV failure was significantly higher in the S/T mode when compared to AVAPS mode. Hence, it can be concluded that the selection of mode ventilation also plays an essential role in the outcome of NIV success rate among COPD patients.

Discussion

In this study, the possible early predictors and associated factors influencing the outcome of NIV in acute respiratory failure due to COPD were assessed. Previous studies have provided some predictors for successful outcome of NIV which includes lower age group, lower APACHE II score, patient-ventilator synchrony, better GCS, hypercarbia (45<PaCO2>92 mmHg), acidosis (7.35<pH>7.10), oxygenation and heart and respiratory rates within the first 1-2 hour after the initiation of NIV [7,8].

From the present study, it can be concluded that patients with age >60 years had a poor outcome in NIV management of acute respiratory failure secondary to COPD. This was similar to a study conducted by Van Gemert A et al., the authors stated that older age and low GCS are an essential factor for conversion of NIV to IMV in AHRF secondary COPD [9,10]. In another study by Kida Y et al., NIV failure rate was higher in elderly patients with acute hypercapnic respiratory failure [11].

In the success category, the mean baseline pH was 7.26±0.034, so it can be concluded that patients who present with initial pH >7.25 have a better outcome without any need for invasive ventilation. Fewer studies have shown that the improvement in pH within a short period after initiation of NIV predicts the outcome. A study conducted by Claude KH et al., proved that improvement in pH and reduction in PaCO2 observed within 2 hours of initiation of NIV in COPD patients [12]. Lightowler JV et al., did a similar study showed that patients with baseline pH <7.22 went for NIV failure in COPD patients [13]. Another study was done by Liu J et al., also concluded that severe acidosis is a significant predictor for NIV failure in COPD patients [10]. Cavalleri M et al., in his study, has shown that patients with initial pH <7.23 are more prone to NIV failure [14].

The mean baseline PaCO2 in success category was 69.98±7.102 while in failure category it was 78±5.461. Therefore, a patient who presents with initial PaCO2 <70 appears to a good predictor of successful NIV outcome. Liu J et al., did a similar study showed that patients with baseline PaCO2>88 went for NIV failure in COPD patients [10]. Cavalleri M et al., showed that patients with initial PaCO2 >85 mmHg were liable for NIV failure [14].

The mean baseline HR was 116.92 while the RR was 36.04. The success category patients had significantly lesser HR and RR than the failure category, which was statistically significant. So, patients who present with tachycardia and tachypnoea (HR <120 and RR <35) have a better outcome. Liu J et al., also showed that patients with initial mean HR >121 and RR >30 have a poor outcome and went for NIV failure [10].

In this study, the percentage of co-morbidities was higher in NIV failure group. Moretti M et al., showed that incidence of comorbidities were more in NIV failure category than in success category [15]. But Talwar D and Dogra V concluded that the incidence of comorbidities was equal both in success and failure group [16]. Also, while weaning the COPD patients from mechanical ventilation both groups had equal outcomes.

It can be concluded that the selection of mode ventilation also plays an important role in the management of COPD patients in terms of reducing the incidence of NIV failure. Similar studies were done by Claudett KH et al., and Shaaban L et al., they concluded that Bilevel Positive Airway Pressure (BiPAP)-AVAPS mode is an effective and safer mode compared to BiPAP-S/T mode in non invasive ventilatory management of acute respiratory failure in COPD patients [12,17].

Limitation(s)

The fact that it was an observational study in which patients were not randomised. A randomised control trial can be conducted in future to assess the other outcomes. Also, in future the technology and modes of ventilation used in NIV may change and these predictors cannot be used to assess the outcome in COPD patients.

Conclusion(s)

In this study, it was observed that patients with acute respiratory failure secondary to COPD who were treated with NIV had a better outcome with reduced incidence of NIV failure. Among the failure group, elder age (>60 years), obese patients, severe acidosis (pH <7.2), hypercarbia (PaCO2 >78), HR >120/min and RR >35/min at the time of presentation predicts the NIV failure. And also we observed that NIV failure was higher in patients who received S/T mode than AVAPS-S/T mode of NIV.

*Co-morbidities- diabetes; hypertension; chronic kidney disease and ischemic heart disease*Co-morbidities- diabetes, hypertension, chronic kidney disease and ischemic heart disease

References

[1]Wissing DR, The Global Initiative for Chronic Obstructive Lung Disease (GOLD) AARC TIMES 2020 29(7):4  [Google Scholar]

[2]Vogelmeier CF, Criner GJ, Martinez FJ, Anzueto A, Barnes PJ, Bourbeau J, Global strategy for the diagnosis, management, and prevention of chronic obstructive lung disease 2017 report. GOLD executive summary American Journal of Respiratory and Critical Care Medicine 2017 195(5):557-82.10.1164/rccm.201701-0218PP28128970  [Google Scholar]  [CrossRef]  [PubMed]

[3]Grippi MA, Elias JA, Fishman J, Kotloff RM, Pack AI, Senior RM, Fishman’s pulmonary diseases and disorders McGraw-Hill Education 2015 :613-14.  [Google Scholar]

[4]Kasper D, Fauci A, Hauser S, Longo D, Jameson J, Loscalzo J, Harrison’s principles of internal medicine, 19e. Mcgraw-hill 2015 Mechanical ventilatory support; pp. 1740-4  [Google Scholar]

[5]National Institute for Health and Care Excellence. Chronic obstructive pulmonary disease in over 16s: Diagnosis and management. NICE guideline (NG115)  [Google Scholar]

[6]Guideline BT, Noninvasive ventilation in acute respiratory failure Thorax 2002 57(3):192-211.10.1136/thorax.57.3.19211867822  [Google Scholar]  [CrossRef]  [PubMed]

[7]Plant PK, Owen JL, Elliott MW, One year period prevalence study of respiratory acidosis in acute exacerbations of COPD: Implications for the provision of Noninvasive ventilation and oxygen administration Thorax 2000 55(7):550-54.10.1136/thorax.55.7.55010856313  [Google Scholar]  [CrossRef]  [PubMed]

[8]Wysocki M, Tric L, Wolff MA, Millet H, Herman B, Noninvasive pressure support ventilation in patients with acute respiratory failure: A randomized comparison with conventional therapy Chest 1995 107(3):761-68.10.1378/chest.107.3.7617874950  [Google Scholar]  [CrossRef]  [PubMed]

[9]Van Gemert A, Brijker F, Witten M, Leenen L, Intubation after Noninvasive ventilation failure in COPD: Associated factors at emergency department presentation European Respiratory Journal 2014 44(Suppl 58):2966  [Google Scholar]

[10]Liu J, Duan J, Bai L, Zhou L, Noninvasive ventilation intolerance: Characteristics, predictors, and outcomes Respiratory Care 2016 61(3):277-84.10.4187/respcare.0422026715769  [Google Scholar]  [CrossRef]  [PubMed]

[11]Kida Y, Minakata Y, Yamada Y, Ichinose M, Efficacy of noninvasive positive pressure ventilation in elderly patients with acute hypercapnic respiratory failure Respiration 2012 83(5):377-82.10.1159/00032839921734354  [Google Scholar]  [CrossRef]  [PubMed]

[12]Claudett KH, Claudett MB, Wong MC, Martinez AN, Espinoza RS, Montalvo M, Noninvasive mechanical ventilation with average volume assured pressure support (AVAPS) in patients with chronic obstructive pulmonary disease and hypercapnic encephalopathy BMC Pulmonary Medicine 2013 13(1):1210.1186/1471-2466-13-1223497021  [Google Scholar]  [CrossRef]  [PubMed]

[13]Lightowler JV, Wedzicha JA, Elliott MW, Ram FS, Noninvasive positive pressure ventilation to treat respiratory failure resulting from exacerbations of chronic obstructive pulmonary disease: Cochrane systematic review and meta-analysis BMJ 2003 326:18510.1136/bmj.326.7382.18512543832  [Google Scholar]  [CrossRef]  [PubMed]

[14]Cavalleri M, Barbagelata E, Diaz DT, Ferraioli G, Esquinas A, Nicolini A, Noninvasive and invasive ventilation in severe pneumonia: Insights for the noninvasive ventilatory approach Journal of Critical Care 2018 48:47910.1016/j.jcrc.2018.07.03030126747  [Google Scholar]  [CrossRef]  [PubMed]

[15]Moretti M, Cilione C, Tampieri A, Fracchia C, Marchioni A, Nava S, Incidence and causes of Noninvasive mechanical ventilation failure after initial success Thorax 2000 55(10):819-25.10.1136/thorax.55.10.81910992532  [Google Scholar]  [CrossRef]  [PubMed]

[16]Talwar D, Dogra V, Weaning from mechanical ventilation in chronic obstructive pulmonary disease: Keys to success The Journal of Association of Chest Physicians 2016 4(2):4310.4103/2320-8775.183839  [Google Scholar]  [CrossRef]

[17]Shaaban L, Zin A, Farghaly S, Average volume assured pressure support ventilation (AVAPS) mode in management of acute hypercapnic respiratory failure European Respiratory Journal 2017 50:PA188110.1183/1393003.congress-2017.PA1881  [Google Scholar]  [CrossRef]