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1Department of Critical Care Medicine, College of Medicine, King Saud University, 11451 Riyadh, Saudi Arabia
2Department of Critical Care Medicine and Respiratory Care Services, King Khaled University Hospital, 12372 6864 Riyadh, Saudi Arabia
*Corresponding Author(s):arakan@ksu.edu.sa (Rakan M. AlQahtani)
| History | Submitted: 23 March 2021 | Accepted: 25 April 2021 | Published: 08 November 2021 |
| Copyright: | ©2021 The Author(s). Published by MRE Press. |

Objectives: A successful weaning prediction score could be a useful tool to predict non-airway extubation failure. However, it may carry some challenges without considering the effect of the physiological reserve on the sustainability of extubation. This study investigated the possible correlation between the physiological reserve surrogate characteristics including acute, baseline, and biochemical patients’ factors and non-airway extubation failure in patients with pneumonia.
Methods: A retrospective cohort study at two academic teaching hospitals was conducted between January 2019 and January 2020 with patients with pneumonia requiring invasive mechanical ventilation and with Burns Wean Assessment Program (BWAP) scores equal to or exceeding 50. Acute clinical, biochemical, and baseline characteristics were collected for both successful and failed non-airway extubation patients.
Results: Among 313 patients, the mean age was 63.63 10.44 years and most of the patients were males (60.7%). The median invasive mechanical duration was 7 days [Interquartile range (IQR): 5–12], the median length of ICU stay was 12 [IQR: 6–23] and the in-hospital mortality was 16.9%. Among this cohort of patients with pneumonia, 37.7% had non-airway extubation failure. Multivariate logistic regression analyses showed that higher CURB-65 score, longer duration of invasive mechanical ventilation, hemodynamic instability, healthcare-associated pneumonia, older men, history of diabetes mellitus, history of cardiac disease, hypophosphatemia, hypocalcemia, and higher admission serum sodium were associated with increased risk of non-airway extubation failure in patients with pneumonia with high BWAP score.
Conclusion: A distinct successful weaning score for patients with pneumonia that considers patients’ acute clinical, biochemical, and baseline characteristics may be effective, and these factors could be reflective of the underlying physiological reserve. Sustainability score from IMV rather than weaning score is needed and may be more predictive for the extubation outcome.
Cite this article
Rakan M. AlQahtani, Yasmeen Khalaf Altaymani, Saud Ali Aljasir, Bader Abdulaziz Zawawi, Hisham Khaled Algossy, Khalid Waleed Alhusainan, Mohammed Yousef Alyousef, Mohammed Ibrahim Alarifi, Abdalrhman Al saadon. The effect of the physiological reserve surrogate characteristics on non-airway extubation failure in patients with pneumonia with high Burns Wean Assessment Program scores. Signa Vitae. 2021; 17(6): 90-102. doi: 10.22514/sv.2021.094
Pneumonia is one of the top six causes of death, and 10% of hospitalized patients with pneumonia require invasive mechanical ventilation (IMV), mainly owing to respiratory failure [1]. The incidence of extubation failure is reported to range 6% to 47%, while the mortality rate varies between 30% and 40% [2, 3, 4]. Extubation failure results in increased length of stay in hospitals and intensive care units (ICUs), increased mortality rates in hospitals and ICUs, and increased total hospital costs by an average of 34,000 US dollars [5]. These grave issues demand the identification of predictors and risk factors associated with extubation failure.
Reasons behind reintubation include primary respiratory failure leading to an episode of respiratory distress, congestive heart failure, ineffective cough, aspiration, upper airway obstruction, or airway secretion build-up; in addition to new sepsis, acute coronary syndrome surgical complications, and neurological impairment [6]. The plethora of causative factors highlight the uncertainty in the management of clinical difficulties of extubation and ambiguities in the pathophysiological attributes of extubation failure. Extubation failure is defined as reintubation requirement within days or hours after planned extubation [1, 7]. The time interval varies between 48 hours to 72 hours or seven days [8]. Extubation failure could be airway-related, which is the inability to breath without endotracheal tube. Airway extubation failure could be either upper airway obstruction such as post-extubation laryngeal edema or lower airway obstruction such as uncontrollable secretions leading to long collapse or severe bronchospasm in asthma patients. On the other hand, non-airway-related extubation failure, or the inability to breath without respiratory support from IMV, is usually due to pulmonary edema or neuromuscular weakness leading to hypoventilation [9].
Airway extubation failure is usually obvious and can be predicted from a successful weaning prediction tool. However, non-airway extubation failure has so many factors, either related to the disease itself or other preexisting chronic health problems, that are associated with limited physiological reserve [10]. These factors are often overlooked in the assessment of extubation success [11].
Mechanical ventilation owing to pneumonia with unresolved infection is a predictor of extubation failure. However, in general, the requirement of IMV provides life support and decreased respiratory workload, increased arterial oxygenation, and rebalanced ventilation-perfusion ratio, thus contributing to reduced mortality [12]. After partial recovery, patients are liberated from IMV. This discontinuation process comprises two phases: weaning (ventilatory support discontinuation) and extubation (airway discontinuation) [13]. Even in patients who meet weaning criteria with a successful weaning readiness test, extubation failure occurs 10% to 20% of the time [11]. Several studies have suggested that the identification of patients capable of spontaneous breathing could reduce the complication rates in extubation. However, even in cases of successful spontaneous breathing trials, extubation failure occurs 15% of the time, indicating that these tests are an incompetent predictor among high-risk patients, such as patients with pneumonia [14]. Conclusively, the predictors that forecast weaning outcomes cannot accurately envisage extubation failure. Moreover, the predictors of extubation failure—age, comorbidity burden, mental status, cardiac function, serum albumin, fluid balance, hypercapnia, blood urea nitrogen (BUN), and maximal inspiratory pressure—have been studied in a cluster of disorders and may not predict extubation failure in pneumonia, which itself is an independent risk factor for extubation failure [4].
On the other hand, the physiological reserve is an issue that has been usually overlooked in the context of the readiness for extubation that may not necessarily reflect the sustainability after extubation [15]. The physiological reserve is defined as the capability of the body to handle the activity under stress in the context of the pathophysiology of the disease and through the recovery phase of the disease [16]. This is often expressed as a subjective assessment by the treating physician, and hence the clinical judgement is very crucial in estimating the physiological reserve. There is no single validated assessment tool to measure the physiological reserve that could be reflective through the comorbid conditions and the severity of the disease associated acute factors can be utilized as surrogate markers in certain diseases [17]. This fact will be more evident in pneumonia because it is a common cause of IMV requirement in ICU and the severity of the disease also plays an important factor in the difficulty of liberation from IMV [18].
Therefore, there is a definite need to identify the independent predictors of extubation failure in patients with pneumonia, as planned interventions based upon predicted risk are a cornerstone of clinical decisions that impact patients’ outcomes [15]. Furthermore, these predictors can be useful markers for determining the physiological reserve which can predict the extent to sustain the liberation from IMV in the recovery phase [19].
We evaluated the parameters that are closely related to the physiological reserve as independent predictors of non-airway extubation failure in patients with pneumonia as opposed to the traditional objective weaning parameters that will predict the success of weaning at the time of extubation without taking into consideration the time factor after extubation and the functional capacity to withstand the need for IMV.
The hypothesis of this study is that early findings and characteristics of the patients with pneumonia upon presentation could be more important predictive tools and more accurate in determining the physiological reserve and more related to the readiness to IMV liberation than using the extubation success assessment checklist alone as predictive value for extubation failure.
A retrospective observational cohort study was conducted between January 2019 and January 2020 at King Saud University affiliated teaching hospitals to identify any physiological or biochemical parameters as independent predictors of early extubation failure in patients with pneumonia. The study design was approved by the Institutional Review Board of the health science colleges at King Saud University (E-19-4221). Records were collected for statistical analysis through an electronic health records system. Samples size (n), considering population size (N) and a margin of error (e), was calculated with Solvin’s formula: n = N/(1 + Ne).
We included all adult (aged 19 years) patients with pneumonia requiring IMV who scored 50 on the Burns Wean Assessment Program (BWAP) which is considered the cutoff limit of successful weaning [16]. BWAP, which was used and well validated in long-term mechanically ventilated patients that was defined as patients requiring IMV more than 3 days, was also used in this study for the patients with pneumonia who required intubation more than 72 hours before screening the patients to help using this validated score. BWAP was validated as good predictive tool if the score is more than 50. Therefore, we excluded all patients scoring 50 on the BWAP or those with acute events not related to the original pneumonia diagnosis or the complications associated with it that led to reintubation (e.g., Myocardial infarction (MI), new sepsis, hospital acquired pneumonia, ventilator associated pneumonia, upper gastrointestinal bleeding, and others). We also excluded those requiring non-invasive ventilation (NIV) after extubation more than 24 hours since it could potentially delay the need for intubation beyond the 72-hour period, those with unplanned self-extubation, those who underwent tracheostomy from the first intubation, or those who underwent palliative one-way extubation.
Due to the variability of definition of the extubation failure in the literature and to minimize selection bias and to help enrollment of target patients centered around the physiologic reserve that is necessary to sustain the liberation from IMV for 72 hours and beyond, the data collectors adapted a stepwise approach to help identifying patients with non-airway extubation failure due the inadequate physiologic reserve resulting from the original pneumonia diagnosis [20]. First, the airway extubation failure due to post-extubation laryngeal edema, which is usually happened minutes to hours after the extubation trial, have been excluded. Second, the non-airway extubation failure due to an acute events post extubation not related to the initial pneumonia and the associated complications have been excluded on the chart review. Third, we include the distinct group of patients who had to be reintubated because of the general weakness which was assessed subjectively on the patients charts indicating frailty, which is reflective of inadequate physiologic reserve which contribute to the lack of sustainability from IMV. Successful extubation was defined as the removal of an endotracheal tube for more than 72 hours [8].
A spontaneous breathing trial was conducted in case the causes of mechanical ventilation were relieved or alleviated, PaO/FiO 150–200 at FiO 0.4–0.5 and PEEP 5–8 cm HO, stable hemodynamic, capability of spontaneous breathing patients were extubated in absence of (1) diaphoresis, anxiety, agitation, depressed mental status; (2) increase in accessory muscle activity; (3) PaO 50–60 mmHg at FiO 0.5 or SaO 90%; (4) PaCO 50 mmHg or increase in PaCO 8 mmHg; (5) pH 7.32 or decrease in pH of 0.07; (6) a respiratory rate 35 beats per minute or increased by 50%; (7) rapid shallow breathing index score 105 beats per minute; (8) heart rate 140 beats per minute or increased by 20%; (9) systolic blood pressure 90 mmHg or 180 mmHg or increased by 20%; and (10) cardiac arrhythmias [21, 22].
We collected baseline characteristics including age, sex, body mass index (BMI), history of diabetes mellitus, hypertension, history of chronic lung disease, and history of cardiac disease. Acute factors included admission APACHE II score, type of pneumonia, CURB-65, type of respiratory failure preceding the intubation, concomitant viral illness, and use of steroids. We also included biochemical laboratory measurements at admission including serum sodium (Na), chloride (Cl), bicarbonate (HCO) albumin, BUN, phosphorus (PO), and corrected calcium (Ca). We also included biochemical lab abnormalities upon admission including hypoalbuminemia, hypophosphatemia, and corrected hypocalcemia.
Means (M) and standard deviations (SDs) were used to describe the continuous measured variables and the frequency and percentages for categorical variables. The Kolmogorov-Smirnov test of normality and histograms were used to assess continuous measured variables, and Levene’s test was used to assess the homogeneity of variance statistical assumption for continuous variables. Independent samples t-tests were conducted to assess the significant mean differences between continuous variables across the levels of binary dichotomous variables, and the Mann-Whitney U non-parametric test was used to assess the mean differences of length of stay and mechanical ventilation durations across the levels of reintubation. Chi-squared tests were used to assess the correlations between categorically measured variables. Multivariate binary logistic regression analyses were conducted to explore the association between patients’ sociodemographic and clinical characteristics at admission as well as their past medical history against their odds of failing the extubation process in the ICU. The dependent variable of interest was extubation failure, and the association between these risk factors and reintubation characteristics was expressed with odds ratios (ORs) with 95% confidence intervals. SPSS version 20 (SPSS Inc., Chicago, IL, USA) was utilized for data analyses, and EXCEL spreadsheets were employed to create figures and depictions. Significance was set at p 0.05.
A total of 422 adult patients aged 19 years were admitted with both clinical and radiologic features of pneumonia along with respiratory failure requiring IMV. Thirty-four excluded patients were tracheostomized without extubation. Fifty-four patients were excluded because they had a BWAP score below 50. Sixteen had an acute event not related to the initial diagnosis of pneumonia including ventilator-associated pneumonia, MI, new sepsis, and others or they required NIV more than 24 hours within 72 hours. Three underwent palliative one-way extubation. The final analysis included 313 patients (Fig. 1). A total of 118 patients after the final analysis had non-airway extubation failure, and no patients had airway extubation failure. All enrolled patients with pneumonia diagnosis who have required IMV have been intubated for 4 days and more.

Fig. 1.Enrollment of patients with pneumonia to assess extubation success.IMV, invasive mechanical ventilation; BWAP, the Burns Wean Assessment Program; VAP, ventilator-associated pneumonia; MI, Myocardial infarction; NIV, non-invasive ventilation; UGIB, Upper Gastrointestinal Bleeding; Post extubation new events (events not related to the initial pneumonia or the pneumonia associated complications).
Table 1 displays patients’ sociodemographic and medical characteristics. Most of the final cohorts were males (60.7%), aged between 44 and 64 years old (55.2%). Patients with history of DM, HTN, chronic lung disease, and cardiac disease were 59.1%, 47.3%, 21.7%, and 25.6%, respectively. Patients’ BMI was also computed and classified, and obese patients were 38.3% of the enrolled patients.
| n (%) | Mean (SD) | ||
| Sex | |||
| Female | 123 (39.3) | ||
| Male | 190 (60.7) | ||
| Age, years | 63.63 (10.44) | ||
| Age group | |||
| 21–43 years | 10 (3.2) | ||
| 44–64 years | 173 (55.3) | ||
| 65 years | 130 (41.5) | ||
| Body mass index | |||
| 18 | 22 (7) | ||
| 18–24.99 | 85 (27.2) | ||
| 25–29.99 | 86 (27.5) | ||
| 30–34.99 | 62 (19.8) | ||
| 35 | 58 (18.5) | ||
| History of diabetes | |||
| No | 128 (40.9) | ||
| Yes | 185 (59.1) | ||
| History of hypertension | |||
| No | 165 (52.7) | ||
| Yes | 148 (47.3) | ||
| History of chronic lung disease | |||
| No | 245 (78.3) | ||
| Yes | 68 (21.7) | ||
| History of cardiac disease | |||
| No | 233 (74.4) | ||
| Yes | 80 (25.6) | ||
| SD, Standard deviation. |
The mean APACHE II score on admission was 19.28 8.35, and in-hospital mortality was 16.9% (Table 2). The results also indicated that 14.1% of the patients had presented with aspiration pneumonia, while 55% presented with community-acquired pneumonia and 31% had hospital-acquired pneumonia. The mean CURB-65 was 4.1 out of 5 (SD = 0.67). More than half (55.6%) of the admitted patients had a CURB65 of 4. Further, 60.7% of the patients were intubated owing to hypoxemic respiratory failure, while 39.3% had developed hypercapnic respiratory failure. Moreover, 31.3% had escalating vasopressor requirements beyond the 24-hour period. However, considering all patients scored 50 points on the BWAP tool, which indicated a high likelihood of successful weaning from the mechanical ventilator and extubation, the analysis revealed that 37.7% of the patients had failed extubation within 72 hours and the median (IQR) mechanical ventilation duration was 7 (5–12) days. Nonetheless, the median (IQR) length of ICU and hospital stay were 12 (6–23), and 26 (17–37) days, repectively. In addition, 16.9% of the sample had received steroid therapy upon admission.
| n (%) | Mean (SD), median (IQR) | ||
| Pneumonia type | |||
| Aspiration | 44 (14.1) | ||
| Community-acquired | 172 (55) | ||
| Hospital-acquired | 97 (31) | ||
| CURB-65 score at admission, mean (SD) | 4.10 (0.67) | ||
| CURB-65 on admission | |||
| 3 | 60 (19.2) | ||
| 4 | 174 (55.6) | ||
| 5 | 79 (25.2) | ||
| Acute respiratory failure type | |||
| Hypoxemic | 190 (60.7) | ||
| Hypercapnic | 123 (39.3) | ||
| Hemodynamic instability 24 hours | 98 (31.3) | ||
| Viral concomitant infections | |||
| No | 268 (85.6) | ||
| Yes | 45 (14.4) | ||
| Non-airway extubation | |||
| No | 195 (62.3) | ||
| Yes | 118 (37.7) | ||
| Mechanical ventilation duration, days, (median, IQR) | 7 (5–12) | ||
| ICU LOS in days (median, IQR) | 12 (6–23) | ||
| Hospital LOS in days (median, IQR) | 26 (17–37) | ||
| APACHE II score, mean (SD) | 19.28 (8.35) | ||
| In-hospital mortality | |||
| No | 260 (83.1) | ||
| Yes | 53 (16.9) | ||
| Admission time lab work | |||
| Serum Na, mmol/L, mean (SD) | 138.92 (6.19) | ||
| Serum Cl, mmol/L, mean (SD) | 25.67 (4.82) | ||
| Serum HCO, mmol/L, mean (SD) | 102.97 (7.30) | ||
| High BUN (≥19 mg/dL) | |||
| No | 126 (40.3) | ||
| Yes | 187 (59.7) | ||
| Persistent hyperlactatemia (lactate 2 beyond 24 hours) | 27 (8.62) | ||
| Admission platelet, 10/L, mean (SD) | 274.1 (141.04) | ||
| Serum albumin, g/L, mean (SD) | 27.37 (7.10) | ||
| Hypoalbuminemia (25 g/L) | |||
| No | 64 (20.4) | ||
| Yes | 249 (79.6) | ||
| Serum PO, mmol/L, mean (SD) | 1.05 (0.432) | ||
| Hypophosphatemia (0.8 mmol/L) | |||
| No | 203 (64.9) | ||
| Yes | 110 (35.1) | ||
| Corrected serum Ca level, mmol/L, mean (SD) | 2.11 (0.20) | ||
| Hypocalcemia corrected Ca (2 mmol/L) | |||
| No | 256 (81.8) | ||
| Yes | 57 (18.2) | ||
| Use of steroids upon admission | |||
| No | 260 (83.1) | ||
| Yes | 53 (16.9) | ||
| CURB-65, confusion, urea 7 mmol⋅L-1, respiratory rate
30⋅min-1, low blood pressure, and age 65 years; Na,
sodium; Cl, chloride; HCO, Bicarbonate; BUN, blood urea
nitrogen; PO, phosphorus; Ca, calcium; LOS, length of stay;
*SD, standard deviation; **IQR, interquartile range. |
The mean serum Na among patients upon arrival was 138.92 6.2 mmol/L, and the mean serum Cl was 102.97 7.3 mmol/L. The mean serum HCO was 25.67 4.82 mmol/L, and 59.7% of the patients presented with a BUN that was higher than 19 mg/dL. Moreover, the mean serum albumin was 27.37 7.1 g/L, and 79.6% had hypoalbuminemia (albumin level 25 g/L) upon arrival at the ICU. The mean serum PO was 1.05 0.43 mmol/L, and 35% of the patients presented with hypophosphatemia (PO 0.8 mmol/L) at admission. The mean corrected Ca was 2.11 0.2 mmol/L, and 18.2% were hypercalcemic (Ca 2 mmol/L). The hematological lab revealed that platelet count in this cohort was 274 140.04 10/L and persistent hyperlactatemia (2 mmol/L) beyond 24 hours in 8.62%.
To clarify why the patients with pneumonia failed the extubation process, we explored patients’ extubation success/failure and any significant associations with their measured sociodemographic or medical characteristics (Table 3). There was no significant difference in the mean APACHE II score (SD) between who failed extubation compared to those who had successful extubation [20.3 (8.45) vs. 18.6 (7.27); p = 0.064]. There was also no significant difference in in-hospital mortality between both groups [14.4% vs. 18.5% (p = 0.353)]. However, there was a significant association between patients’ sex and reintubation, as men were significantly more likely to have extubation failure than women (p = 0.001). Furthermore, the patients who failed the extubation were significantly older with the mean age of 65.9 8.85 years vs. 62.26 11.1 years for those who had a successful extubation; p = 0.003. However, patients’ age group was not significantly correlated with their reintubation outcome (p = 0.403). BMI and patients’ medical history of DM, and HTN were not correlated with extubation failure risk.
| Failed the extubation process, n (%) | |||||
| No = 195 (62.3%) | Yes = 118 (37.7%) | Test | p | ||
| Sex | |||||
| Female | 90 (46.2) | 33 (28) | (1) = 10.20 | 0.001 | |
| Male | 105 (43.8) | 85 (72) | |||
| Age, mean (SD) | 62.26 (11.10) | 65.90 (8.85) | t(311) = 3.026 | 0.003 | |
| 21–43 years | 8 (4.1) | 2 (1.7) | (2) = 1.82 | 0.403 | |
| 44–64 years | 104 (43.3) | 69 (58.5) | |||
| 65 years | 83 (42.6) | 47 (39.8) | |||
| Body mass index | |||||
| 18 | 14 (7.2) | 8 (6.8) | (4) = 4.64 | 0.326 | |
| 18–24.99 | 47 (24.1) | 38 (32.2) | |||
| 25–29.99 | 51 (26.2) | 35 (29.7) | |||
| 30–34.99 | 42 (21.5) | 20 (16.9) | |||
| 35 | 41 (21) | 17 (14.4) | |||
| History of diabetes | |||||
| No | 79 (40.5) | 49 (41.5) | (1) = 0.031 | 0.86 | |
| Yes | 116 (59.5) | 69 (58.5) | |||
| History of hypertension | |||||
| No | 104 (53.3) | 61 (51.7) | (1) = 0.10 | 0.778 | |
| Yes | 91 (46.7) | 57 (48.3) | |||
| History of chronic lung disease | |||||
| No | 160 (82.1) | 85 (72) | (1) = 4.34 | 0.037 | |
| Yes | 35 (17.9) | 33 (28.0) | |||
| History of cardiac disease | |||||
| No | 164 (84.1) | 69 (58.5) | (1) = 25.40 | 0.001 | |
| Yes | 31 (15.9) | 49 (41.5) | |||
| IMV duration in days, (median, IQR) | 6 (4–9) | 12 (6–13) | U (313) = 17183*** | 0.001 | |
| ICU LOS in days, (median, IQR) | 11 (5–16) | 19 (11–37) | U (313) = 16269 | 0.001 | |
| Hospital LOS in days, (median, IQR) | 18 (16–26) | 50 (28–122) | U (313) = 11505 | 0.001 | |
| In-hospital mortality | |||||
| No | 159 (81.5) | 101 (85.6) | (1) = 0.859 | 0.353 | |
| Yes | 36 (18.5) | 17 (14.4) | |||
| Hemodynamic instability 24 hours | |||||
| No | 149 (76.4) | 66 (55.9) | (1) = 14.33 | 0.0002 | |
| Yes | 46 (23.6) | 52 (44.1) | |||
| APACHE II score, mean (SD) | 18.6 (7.27) | 20.3 (8.45) | t(311) =1.88 | 0.064 | |
| Admission time lab work | |||||
| Serum Na, mmol/L mean (SD) | 137.83 (6.70) | 140.73 (4.80) | t(303.12) = 4.47 | 0.001 | |
| Serum Cl, mmol/L, mean (SD) | 102.22 (7.54) | 104.21 (6.73) | t(311) = 2.36 | 0.019 | |
| Serum HCO, mmol/L, mean (SD) | 25.38 (4.66) | 26.14 (5.10) | t(311) = 1.34 | 0.181 | |
| BUN 19 mg/dL | |||||
| No | 106 (54.4) | 20 (16.9) | (1) = 42.80 | 0.001 | |
| Yes | 89 (45.6) | 98 (83.1) | |||
| Serum albumin, g/L, mean (SD) | 27.27 (7.10) | 27.55 (7.10) | t(311) = 0.35 | 0.731 | |
| Hypoalbuminemia (25 g/L) | |||||
| No | 40 (20.5) | 24 (20.3) | (1) = 0.001 | 0.971 | |
| Yes | 155 (79.5) | 94 (79.7) | |||
| Serum PO, mmol/L, mean (SD) | 1.06 (0.40) | 1.04 (0.50) | t(311) = 0.37 | 0.709 | |
| Hypophosphatemia (0.8 mmol/L) | |||||
| No | 153 (78.5) | 50 (42.4) | (1) = 42.01 | 0.001 | |
| Yes | 42 (21.5) | 68 (57.6) | |||
| Corrected Ca, mmol/L, mean (SD) | 2.13 (0.21) | 2.08(0.18) | t(273.60) = 2.20 | 0.028 | |
| Hypocalcemia (corrected Ca2) | |||||
| No | 167 (85.6) | 89 (75.4) | (1) = 5.15 | 0.023 | |
| Yes | 28 (14.4) | 29 (24.6) | |||
| Persistent hyperlactatemia (lactate 2 beyond 24 hours) | 180 (92.3) | 106 (89.8) | (1) = 0.60 | 0.449 | |
| No | |||||
| Yes | 15 (7.7) | 12 (10.2) | |||
| Admission platelet, 10/L, mean (SD) | 278 (139.7) | 268 (143.03) | t(311) = 0.604 | 0.546 | |
| Admission CURB-65, mean (SD) | 3.88 (0.63) | 4.36 (0.61) | t(311) = 6.72 | 0.001 | |
| Admission CURB-65 level at admission | |||||
| 3 | 52 (26.7) | 8 (6.8) | (1) = 40.50 | 0.001 | |
| 4 | 115 (59) | 59 (50) | |||
| 5 | 28 (14.4) | 51 (43.2) | |||
| Pneumonia type | |||||
| Aspiration pneumonia | 32 (16.4) | 12 (10.2) | (2) = 17.36 | 0.001 | |
| Community-acquired pneumonia | 119 (61) | 53 (44.9) | |||
| Hospital-acquired pneumonia | 44 (22.6) | 53 (44.9) | |||
| Type of respiratory failure | |||||
| Hypoxemic respiratory failure | 125 (64.1) | 65 (55.1) | (1) = 2.51 | 0.113 | |
| Hypercapnic respiratory failure | 70 (35.9) | 53 (44.9) | |||
| Viral concomitant illness | |||||
| No | 166 (85.1) | 102 (85.4) | (2) = 3.13 | 0.209 | |
| Yes | 29 (14.9) | 16 (13.6) | |||
| Use of steroids upon admission | |||||
| No | 159 (81.5) | 101 (85.6) | (1) = 0.90 | 0.354 | |
| Yes | 36 (18.5) | 17 (14.4) | |||
| CURB-65, confusion, urea 7 mmol⋅L-1, respiratory rate
30⋅min-1, low blood pressure, and age 65 years; Na,
sodium; Cl, chloride; HCO3, Bicarbonate; BUN, blood urea nitrogen;
PO4, phosphorus; Ca, calcium; IMV, invasive mechanical ventilation;
LOS, length of stay; SD, standard deviation; IQR, interquartile range.
* Chi-squared statistic. ** Student’s t-test. *** Mann-whitney U test. |
Patients with a history of chronic lung disease or cardiac disease were significantly more likely to have failed the extubation process compared to their counterparts (p = 0.037 and p 0.001, respectively). Unsurprisingly, patients who underwent reintubation had significantly longer median (IQR) duration on mechanical ventilation before the attempt of extubation compared to those who did not have extubation failure [12 (6–13) days vs. 6 (4–9) days; p 0.001)]. Moreover, patients who failed to be extubated stayed significantly longer median duration (IQR) in the ICU than those whose endotracheal tube was successfully removed [19 (11–37) days vs. 11 (5–16) days; p 0.001] and longer median hospital stay [50 (28–122) days vs.18 (16–26) days; p 0.001] (Table 3).
Patients who failed the extubation process had significantly higher mean serum Na (140.73 4.80) and Cl (104.21 6.73) at admission than those who were successfully extubated (137.83 6.7, p 0.001; 102.22 7.54, p = 0.019, respectively). Patients who presented with a high BUN (19 g/dL) at admission were also significantly more likely to have extubation failure compared to those with a normal BUN (p 0.001). No differences were found concerning serum albumin, hypoalbuminemia, persistent hyperlactatemia, platelet count, and serum PO (p = 0.731, p = 0.971, p = 0.449, p = 0.546, and p = 0.709, respectively); however, patients who presented with hypophosphatemia were significantly more likely to have failed the extubation process than those patients whose serum PO was 0.8 mmol/L (p 0.001). Patients failed the extubation had also significantly lower mean serum Ca levels (2.08 0.18) than patients who had successful extubation (2.13 0.21, p = 0.028); however, hypocalcemic patients at admission (with serum Ca 2 mmol/L) were significantly more likely to have failed the extubation process compared to those with a serum Ca 2 mmol/L at admission (p = 0.028; Table 3).
Unsurprisingly, patients who failed the extubation presented with higher mean CURB65 scores (4.36 0.61) compared to their counterparts (3.88 0.63; p 0.001). Further, patients who scored 5 on the CURB65 were significantly more likely to have failed the extubation process compared to those who scored 3 or 4 (p 0.001). Furthermore, those who failed the extubation tend to have escalating vasopressor requirements beyond 24 hours (44.1% vs. 23.6%; p = 0.0002). Patients who presented with hospital-acquired pneumonia were also significantly more likely to have failed extubation compared to those who presented with community- or aspiration-acquired pneumonia (p 0.001; Table 3). Furthermore, the type of respiratory failure and the concomitant viral illness as well as the use of steroids did not correlate significantly with the risk of extubation failure.
The multivariate logistic binary regression analysis was significant overall, denoting that one or more of the tested predictors had a significant association with the extubation failure (Table 4). Patients’ sex correlated significantly with their odds of failing the extubation process (p = 0.033); although, men were significantly less likely to be re-intubated than women and patients’ age did not converge significantly with their odds of failing the extubation. Further, the analysis model indicated that the interaction between patients age and sex suggested that older men compared to younger women were significantly more likely to fail extubation (OR = 1.21; 95% CI, 1.03–1.22; p = 0.006). Fig. 2 reveals that after the age of 44 years, men were significantly more likely than women to have required reintubation; conversely, younger women aged 44 years were significantly more likely to require an endotracheal reintubation than young men aged 44 years. The analysis model also indicated that patients with DM were significantly more likely to have extubation failure (OR = 3.05; 95% CI, 1.22–7.62; p = 0.017).
| 95% confidence interval | |||||
| Beta coefficient | Adjusted odds ratio | Lower | Upper | p | |
| Sex = male | –5.643 | 0.004 | 0.000 | 0.638 | 0.033 |
| Age (years) | –0.036 | 0.965 | 0.909 | 1.024 | 0.242 |
| Sex Age interaction | 0.114 | 1.121 | 1.034 | 1.216 | 0.006 |
| Diabetes | 1.115 | 3.050 | 1.221 | 7.619 | 0.017 |
| History of cardiac disease | 0.972 | 2.643 | 1.109 | 6.298 | 0.028 |
| Hemodynamic instability 24 hours | 1.225 | 3.507 | 1.494 | 8.232 | 0.004 |
| IMV duration (days) | 0.299 | 1.349 | 1.219 | 1.493 | 0.001 |
| Serum Na level at admission | 0.363 | 1.437 | 1.250 | 1.653 | 0.001 |
| Serum Cl level at admission | -0.207 | 0.813 | 0.733 | 0.903 | 0.13 |
| BUN 19 mg/dL at admission | 0.961 | 2.616 | 1.081 | 6.327 | 0.033 |
| Hypophosphatemia | 0.870 | 2.387 | 1.121 | 5.082 | 0.024 |
| Hypocalcemia | 1.169 | 3.219 | 1.301 | 7.966 | 0.011 |
| CURB-65 score | 1.117 | 3.054 | 1.431 | 6.521 | 0.004 |
| Hypercapnic respiratory failure | 0.687 | 1.988 | 0.897 | 4.405 | 0.090 |
| Pneumonia type = hospital-acquired | 1.774 | 5.894 | 2.486 | 13.976 | 0.001 |
| Constant | –43.084 | 0.000 | 0.001 | ||
| Dependent
variable = failed extubation (0 = no, 1 = yes). Model’s overall significance =
(16) = 187.3, p 0.001; Model H-L chi-squared
goodness-of-fit test = (8) = 26.91, p = 0.079; Model area
under the receiver operating characteristic curve = 91%.
IMV, invasive mechanical ventilation; Na, sodium; Cl, chloride; BUN, blood urea nitrogen; CURB-65, confusion, urea 7 mmol⋅L-1, respiratory rate 30⋅min-1, low blood pressure, and age 65 years. *Significant p-value 0.05. |

Fig. 2.The association between age-sex interaction and the probability of extubation failure among patients with pneumonia.
In addition, patients with a history of cardiac disease were significantly more likely to have extubation failure (OR = 2.64; 95% CI, 1.11–6.3; p = 0.028). The duration of mechanical ventilation also converged significantly on their odds of requiring reintubation. For each additional day on mechanical ventilation, the odds of patients failing the extubation process increased by 1.35 times (i.e., was 35% times higher; p 0.001). Moreover, Na level at admission converged significantly and positively with the odds of extubation failure (p 0.001). Nonetheless, chloride level at admission did not correlate significantly with patients’ odds of failing the extubation process (p = 0.13).
Patients with high BUN scores (19 mg/dL) were significantly more likely to fail the extubation (OR = 2.62; 95% CI, 1.08–6.33; p = 0.033), and hypophosphatemia at admission significantly predicted higher odds of failing extubation (OR = 2.39; 95% CI, 1.12–5.08; p = 0.024). Nonetheless, patients’ CURB-65 score correlated significantly and positively with their odds of failing the extubation process: for every increase on the CURB-65, the odds of failing the extubation trial increased by 3.1 times (OR = 3.05; 95% CI, 1.43–6.52; p = 0.0040) (Fig. 3). Patients with hypercapnic respiratory failure were more likely (OR = 1.99) to be re-intubated in the ICU compared to those who had hypoxemic respiratory failure; however, the difference was not significant (p = 0.090). Lastly, patients who had hospital-acquired pneumonia were significantly more likely to have extubation failure (OR = 5.90; 95% CI, 2.49–13.98; Fig. 4) compared to the patients who presented with community- and aspiration-acquired pneumonia (p 0.001).

Fig. 3.The association between the severity of pneumonia using CURB-65 and the probability of extubation failure. CURB-65, confusion, urea 7 mmol⋅L-1, respiratory rate 30⋅min-1, low blood pressure, and age 65 years.

Fig. 4.The association between the type of pneumonia and the model predicted probability of extubation failure. *Hospital-acquired pneumonia carries a higher risk of non-airway extubation failure higher than community-acquired pneumonia and aspiration pneumonia.
Extubation failure is linked to increased mortality and longer hospital and ICU stay. Owing to the alarming incidence of extubation failure and associated mortality, we explored potential physiological and biochemical factors to identify predictors of extubation failure with an aim to improve patients’ outcomes. The current study identified that these pre-determined factors could have potential role in reducing the physiological reserve in these patients considering the disease course in ICU and explored the independent risk factors in which the intrinsic capacity to sustain the liberation from IMV is markedly impacted and have led to extubation failure [23].
The current study used a BWAP assessment checklist as exclusion/inclusion criteria (i.e., we excluded all patients scoring 50 on the BWAP). The BWAP was designed to facilitate clinicians in evaluation of 26 clinical factors associated with weaning [24]. BWAP—a comprehensive, efficient, and systematic checklist and scoring tool—assists in the management of patients who require long-term mechanical ventilation. Its sensitivity and specificity were 82% and 55%, respectively; although, sensitivity and specificity levels vary with cut off values [24, 25, 26].
Cardiac patients are prone to weaning failure; the first stage of extubation, owing to burden upon cardiovascular system as transition from positive-pressure ventilation to spontaneous breathing occurs [27]. Cardiac function has been previously associated with extubation failure but not in patients with pneumonia. It was reported that, nor the cardiac function or myocardial inflammatory markers are associated with extubation failure in severe patients with pneumonia [28]. However, Thille and colleagues and Vallverdu and colleagues identified chronic cardiorespiratory disease and acute respiratory failure of respiratory origin as risk factors for extubation failure [29, 30]. In accordance many prior studies, we reported that an underlying cardiac disease in patients with pneumonia is an independent predictor of extubation failure [7, 31, 32, 33].
Furthermore, while identifying the association between demographic factors and extubation failure, Rady and colleagues reported age as an independent predictor for extubation failure, while Thille and colleagues and Vallverdu and colleagues reported age as a risk factor for extubation failure [29, 30, 33]. However, Jaber and colleagues and Suraseranivong and colleagues reported no association between age and extubation failure [9, 34].
Severe hypophosphatemia was associated with respiratory failure; however, the association between phosphate concentration and extubation failure in patients with pneumonia has not been previously studied. Alsumrain and colleagues reported the association between hypophosphatemia and weaning failure; however, predictors of weaning differ from those of extubation failure [35]. The importance of hypophosphatemia in extubation failure and weaning failure lies in the fact that it can lead to respiratory failure owing to impaired diaphragmatic contractility [36]. Respiratory insufficiency can be due to insufficient 2,3-diphosphoglycerate production, leading to a significant change in hemoglobin dissociation curve and weakness in respiratory muscles, which is a common manifestation of hypophosphatemia [37]. Higher sodium is also a poor predictor for extubation failure, especially among elderly patients, which may reflect the illness severity in this group [34, 38]. Our study showed that patients who failed extubation had higher sodium levels compared to those who were successfully extubated, regardless of their age.
CURB-65 score was used to assess the disposition among patients with pneumonia. CURB-65 is a mortality prediction scoring system for community-acquired pneumonia (confusion, urea 7 mmol⋅L-1, respiratory rate 30⋅min-1, low blood pressure, and age 65 years) [39]. Since the CURB-65 score reflects the severity of pneumonia, it could be a good tool to reflect on the impact that the disease may have on the physiological reserve. In this study, CURB65 was an independent risk factor for extubation failure. We also found that increased time for intubation and increased length of stay in the ICU may also serve as predictors of extubation failure in patients with pneumonia, which are also associated with illness severity and hence CURB-65 score.
The limitations of this study need to be acknowledged. Although the study has a relatively large sample size, the study is retrospective in nature. The acute factors and baseline characteristics could be more explored that could be potential confounders for this study. Functional status of the patients was not determined. Objective functional assessment of physiological reserve and incorporating frailty scores would add to the values of the study although some comorbidities might have indicated otherwise. Other indicators on this admission such as the course of the disease during the ICU and potential complications were not considered. Furthermore, body measurements such as waist circumference and hip-waist ratios and their interaction with the mechanical ventilator in the context of the functional status as opposed to the BMI would have added more values on this study. Other important consideration to the weaning success was not considered such as fluid balance and the availability of such information would have validated the results more. Future randomized controlled trials emphasizing the effect of the physiological reserve and sustainability from IMV on the extubation failure rather than the successful weaning score are needed.
Admission-acute factors including the duration of IMV, type of pneumonia, severity of pneumonia, the hemodynamic instability, and patterns of electrolytes; along with baseline factors including the age—sex interaction, history of diabetes mellitus, and history of cardiac disease can strongly predict non-airway extubation failure in patients with pneumonia with high successful weaning scores. Such factors are useful surrogate characteristics that reflect the physiological reserve and the ability to sustain the liberation from IMV. Sustainability from IMV scores for prolonged intubation based on the physiological reserve is imperative and more reflective on extubation failure than simple successful weaning score.
High successful weaning score could be misleading for extubation success in patients with pneumonia.
Including factors reflecting the physiological reserve in patients with pneumonia with a high weaning successful weaning score could be useful to determine successful extubation.
“Sustainability from IMV” scores could be more predictive of extubation failure than weaning scores.
RMQ: Conceptualization, methodology, writing and editing, and supervision. YKA, SAA: Data curation, investigation, and validation. BAZ, HKA, KWA, MYA: Data curation, and original draft preparation. MIA, AA: Formal analysis, review and editing.
The study design was approved by the Institutional Review Board of the health science colleges at King Saud University (E-19-4221).
We would like to thank the department of Critical Care Medicine and the department of Medicine at King Saud University for their valuable help and support. We would like to thank the peer reviewers for their opinions and suggestions.
This research received no external funding.
The authors declare no conflict of interest.