Literature DB >> 32274124

Could the loss of diaphragm thickness measured by computer tomography predict the rate of reintubation?

Yue-Nan Ni1, Hui Xu2, Wei-Jing Li1, Ji-Kui Sun3, Bin-Miao Liang1, Zong-An Liang1.   

Abstract

BACKGROUND: Diaphragm function loss is very common in the intensive care unit (ICU) and can predict the success of weaning. However, whether diaphragm thickness loss during mechanical ventilation (MV) as measured by computed tomography (CT) can predict the rate of reintubation remains unclear. Therefore, we hypothesized that a loss of diaphragm thickness would impact the outcome of weaning.
METHODS: A retrospective study was performed on patients who received MV in the ICU of West China Hospital, Sichuan University. The diaphragm thickness of each patient on the CT scans within 48 hours after MV and 24 hours before weaning were measured by at least two independent investigators. The primary outcome was the rate of reintubation, and the second outcomes included hospital mortality and the length of ICU stay (ICU LOS) after extubation.
RESULTS: A total of 145 patients were included in the analysis. According to the receiver operating characteristic curve, all patients were divided into two groups (less or more than 1.55 mm diaphragm thickness loss in reintubation). As a result, less loss of diaphragm thickness was a protective factor for the rate of reintubation [33% vs. 12%; adjusted odds ratio (aOR) 0.001; 95% confidence interval (CI), 0.001-0.271; P=0.018] and hospital mortality (18% vs. 4%; aOR 0.001; 95% CI, 0.001-0.035; P=0.007). However, no significant difference was found in the ICU LOS after extubation between the two groups.
CONCLUSIONS: Less diaphragm thickness loss was related to a lower rate of reintubation and hospital mortality. 2020 Journal of Thoracic Disease. All rights reserved.

Entities:  

Keywords:  Diaphragm thickness; hospital mortality; rate of reintubation; weaning

Year:  2020        PMID: 32274124      PMCID: PMC7138965          DOI: 10.21037/jtd.2019.12.125

Source DB:  PubMed          Journal:  J Thorac Dis        ISSN: 2072-1439            Impact factor:   2.895


Introduction

Investigations showed that approximately 2–3 million patients in the intensive care unit (ICU) receive invasive mechanical ventilation (MV) in the United States each year (1,2). Prolonged MV existed in approximately 14% of the patients who received MV (3), which would lead to many potential complications, including pulmonary barotrauma, ventilator-associated lung injury, ventilator-associated pneumonia, airway injury, venous thromboembolism, and gastrointestinal bleeding (4-8). Thus, mortality is associated with both prolonged weaning and the duration of MV (3,9). Weaning is the process of decreasing ventilator support and allowing patients to use a greater proportion of their own ventilation. The purpose of weaning is to assess the probability that MV can be successfully discontinued. Weaning may involve either an immediate shift from full ventilatory support to a period of breathing without assistance from the ventilator or a gradual reduction in the amount of ventilator support (10). However, when patients are unable to maintain spontaneous breathing, weaning could lead to reintubation and increase mortality. Thus, some variable predictors that help clinicians to estimate the capacity of patients to breathe independent of the ventilator are very important. Unfortunately, the optimal predictors that could predict the best time for weaning with high sensitivity and specificity have still not been found. Studies have shown that the current predictors, including vital capacity, tidal volume (VT), airway occlusion pressure (P0.1), minute ventilation, respiratory rate, maximal inspiratory pressure (MIP), respiratory frequency to tidal volume (f/VT), P0.1/MIP and P0.1 x f/VT are not sufficient for the prediction of weaning outcomes in a general ICU population (11,12). Thus, we still need to find some new predictors to help us explore the optimal time point of weaning. MV could lead to a loss of diaphragm thickness because of several mechanisms, including diaphragm inactivity during MV, systematic inflammation, prolonged sedation, etc. (13-15). As is well known, the diaphragm is the major inspiration muscle, and it contributes largely to respiratory ability (16). Studies have shown that diaphragm function is an important determinant of successful liberation from ventilation and recovery from critical illness (17-20). Although many devices are used to measure diaphragm function, such as the electromyographic signals gathered by a nasogastric catheter, when patients receive neurally adjusted ventilatory assist ventilation, their responses are often limited because of the invasive nature of the operation and the measurements of function do not reflect the structure of the diaphragm. Recently, several studies showed that the diaphragm thickness measured by ultrasound was a new method for helping decide when and how weaning should be performed (21,22). However, the low precision was a major disadvantage. Computed tomography (CT) is a common imaging technique that is often used to evaluate the diaphragm in a static state. However, we did not find any study that assessed whether CT scans were an effective way to measure the diaphragm thickness and help clinicians predict the success of weaning. Thus, we hypothesize that CT scans could be used for measuring the thickness of the diaphragm and that a loss of diaphragm thickness was a new predictor of successful extubation from MV.

Methods

Study design

The retrospective study was conducted at the respiratory ICUs in West China Hospital, which is one of the subcenters of the National Clinical Research Center of Respiratory Disease, from December 2014 through January 2017. All study participants were included in the registration program of the National Clinical Research Center of Respiratory Disease. All patients admitted to respiratory ICUs who received MV were eligible if they met the inclusion criteria and no exclusion criteria. Patients were included if they had CT scans within 48 hours of starting MV and 24 hours before weaning (Appendix 1). Patients were excluded if they were diagnosed with a neuromuscular disorder, pregnancy or were younger than 18 years of age. The study was approved by the Institutional Ethical Committee for Clinical and Biomedical Research of the First Affiliated Hospital of Guangzhou Medical University (Guangzhou, China). Informed consent was waived because this was a retrospective study.

CT scan analysis

All CT imaging of the chest was acquired using multislice CT equipment (Siemens 128 slice and Philips 128 slice) at the end of inspiration in the supine position according to the protocol of lung CT scans of the radiology department of West China Hospital, which was described in previous studies (23). All CT scans were imported from the Picture Archiving and Communication System of the radiology system and stored on a secure computer system. Scans were analyzed by syngo MultiModality Workplace Version VE40A (Siemens Software Packages) by two trained and certified investigators. They measured the dome of the right diaphragm thickness in the coronary position, which was reconstructed by a 1 mm thickness image between the ninth and tenth intercostal space. Each diaphragm was measured 3 times by each investigator, and the average value of the three measurements was provided by each investigator. When the difference in the diaphragm thickness of the same CT scan given by the two independent investigators was more than 10% of the average value of the two measurements, the CT scan was transferred to a third investigator. The third investigator’s measurement was the final measurement.

Data extraction

For each patient, we collected information on age, gender, illness severity as indicated by the Acute Physiology and Chronic Health Evaluation (APACHEII) score, arterial blood gases at ICU admission, the history of smoking and alcohol abuse, diagnosis and underlying disease, the initial mode of MV and basic vital signs. Monitoring was continued until the patients were discharged from the hospital or dead. We obtained data on the rate of reintubation, hospital mortality, and the length of ICU stay (ICU LOS) after extubation. Our primary purpose was to assess the independent effect of diaphragm thickness loss regardless of other factors on reintubation.

Outcomes

The primary outcome was the rate of reintubation, and the second outcomes included hospital mortality and ICU LOS after extubation.

Statistical analysis

The study population was divided into two groups based on the overall loss of diaphragm thickness from the baseline measurement after MV to the last measurement obtained before weaning using a cutoff value that was calculated by receiver operating characteristic (ROC) analysis. Consecutive variables were reported as the mean ± standard deviation or median [interquartile range (IQR)], while categorical variables were reported as frequency and proportion. Student’s t test, the Mann-Whitney U-test and the Kruskal-Wallis test were used for comparisons between continuous variables, and the chi-squared test or Fisher’s exact test were used for comparisons between categorical variables. To assess the relationship between the loss of diaphragm thickness and the rate of reintubation as well as hospital mortality, we performed a logistic regression model and adjusted for variables independently associated with the rate of reintubation or hospital mortality that had a P value less than 0.10. Kaplan-Meier curves were plotted to assess the time from extubation to death, and the median time from extubation to death was compared by means of the log-rank test. All analyses were performed with SPSS 19.0 (SPSS Inc), and a 2-sided P value less than 0.05 was considered statistically significant.

Results

Patients

From December 2014 through January 2017, a total of 491 patients were admitted to the respiratory ICUs, and 9 patients were diagnosed with neuromuscular disease. One hundred seventy-six patients had CTs within 48 hours of MV and 24 hours before weaning for diagnostic purposes, and 31 scans were excluded because of low quality, windowing and artifacts () We performed ROC curve analysis for diaphragm thickness in reintubation and, according to the Youden index, all patients were divided into two groups: a group with a loss of diaphragm thickness less than 1.55 mm (n=85) and a group with a loss of diaphragm thickness more than 1.55 mm (n=60). The area under the ROC curve for reintubation was 0.666 and for hospital mortality was 0.752.
Figure 1

Flowchart of the study. CT, computed tomography; ICU, intensive care unit; MV, mechanical ventilation.

Flowchart of the study. CT, computed tomography; ICU, intensive care unit; MV, mechanical ventilation.

Characteristics at inclusion

The characteristics of the patients at enrollment are shown in . The mean age and proportion of male patients with more than 1.55 mm in diaphragm thickness loss and less than 1.55 mm in diaphragm thickness loss were 66.53 vs. 64.71 (P=0.497) and 67% vs. 60% (P=0.413), respectively. There was no significant difference in the APACHE II score at ICU admission (19.87±6.90 vs. 19.51±7.07, P=0.760) between the groups. We did not find significant differences in baseline diaphragm thickness, MV length, body temperature, respiratory rate, heart rate, blood pressure or pH, PaCO2 or oxygenation index (OI) at ICU admission.
Table 1

Characteristics of patients at baseline

IndexesMore diaphragm thickness loss (>1.55 mm) (n=60)Lower diaphragm thickness loss (<1.55 mm) (n=85)P
Age, years66.53±14.0164.71±18.290.497
Male40 [67]51 [60]0.413
APACHE II score19.87±6.9019.51±7.070.760
Smoking32 [53]34 [40]0.112
Alcohol abuse18 [30]18 [21]0.226
Diagnosis
   Pneumonia23 [38]41 [48]0.237
   COPD32 [53]37 [44]0.206
   Other5 [8]7 [8]0.606
Initial mode of mechanical ventilation
   Control52 [87]73 [86]0.893
   PSV8 [13]12 [14]
PEEP, cmH2O5.37±1.636.35±5.300.110
Underlying disease
   Diabetes7 [12]5 [6]0.174
   Hypertension10 [17]16 [19]0.739
   Arrhythmia4 [7]6 [7]0.601
Arterial blood gas at ICU admission
   PH7.41±0.067.42±0.060.785
   PaCO2, cmH2O49.50±13.9346.82±14.860.275
   OI192.79±69.77215.86±81.530.077
T, °C36.71±0.6936.91±0.560.059
RR, times/hour20.1±8.8821.6±8.130.289
HR, times/hour96.30±25.8998.56±25.960.605
SBP, mmHg134.02±26.18130.39±18.950.334
DBP, mmHg76.10±16.6374.46±13.220.526
Length of ICU stay after extubation, days9.52±1.579.47±1.300.982
Hospital mortality11 [18]3 [4]0.003
Rate of reintubation20 [33]10 [12]0.002
MV time, days12.18±8.9213.33±12.530.517

Data are shown as mean ± SD or number [%]. APACHE, The Acute Physiologic and Chronic Health Evaluation; COPD, chronic obstructive pulmonary disease; DBP, diastole blood pressure; HR, heart rate; ICU, intensive care unit; OI, oxygenation index; PaCO2, partial pressure of carbon dioxide in arterial blood; PEEP, positive end expiration pressure; PSV, pressure support ventilation; RR, respiratory rate; SBP, systolic blood pressure; T, temperature.

Data are shown as mean ± SD or number [%]. APACHE, The Acute Physiologic and Chronic Health Evaluation; COPD, chronic obstructive pulmonary disease; DBP, diastole blood pressure; HR, heart rate; ICU, intensive care unit; OI, oxygenation index; PaCO2, partial pressure of carbon dioxide in arterial blood; PEEP, positive end expiration pressure; PSV, pressure support ventilation; RR, respiratory rate; SBP, systolic blood pressure; T, temperature.

Rate of reintubation

Overall, 30 of 145 patients (21%) underwent reintubation after extubation. The characteristics of patients with reintubation are presented in . No difference was found between the two groups. In the unadjusted analysis, the rate of reintubation was higher in the group with more diaphragm thickness loss (33% vs. 12%, P<0.01). In the log-rank test, significant differences also existed in the median time from extubation to reintubation (P=0.002) (). After adjusting for pH and PaCO2 at ICU admission before extubation (), we found that a greater loss of diaphragm thickness was associated with a higher rate of reintubation (aOR 0.001; 95% CI, 0.001–0.271; P=0.018).
Table 2

Comparison between patients with reintubation and not

IndexesNon-reintubation (n=115)Reintubation (n=30)P
Age, year64.87±17.4067.73±13.240.329
Male74 [64]18 [60]0.660
APACHE II score20.43±6.9419.45±7.000.495
Baseline diaphragm thickness, mm0.41±0.050.41±0.070.920
Diaphragm thickness change before extubation, mm0.28±0.070.24±0.050.004
Change in diaphragm thickness, mm0.13±0.080.17±0.060.018
Smoking54 [47]12 [40]0.496
Acohol abuse27 [23]9 [30]0.462
Diagnosis
   Pneumonia49 [43]15 [50]0.468
   COPD56 [49]13 [43]0.600
   Other10 [9]2 [7]0.531
Initial mode of mechanical ventilation
   Control108 [94]27 [90]0.342
   PSV7 [6]3 [10]
PEEP, cmH2O6.02±4.655.67±1.710.686
Underlying disease
   Diabetes9 [8]3 [10]0.469
   Hypertension23 [20]3 [10]0.204
   Arrhythmia8 [7]2 [7]0.658
Arterial blood gas
   PH7.41±0.067.43±0.060.075
   PaCO2, cmH2O49.1±15.2143.44±10.360.056
   OI202.51±74.21220.89±88.760.249
T, °C36.81±0.6436.87±0.670.678
RR, times/hour21.29±8.9219.77±6.360.382
HR, times/hour95.95±23.93104.07±31.880.126
SBP, mmHg133.11±20.64127.2±27.340.195
DBP mmHg75.2±14.0674.9±17.170.921
MV time, days17.97±13.2711.27±9.380.013

Data are shown as mean ± SD or number [%]. APACHE, The Acute Physiologic and Chronic Health Evaluation; COPD, chronic obstructive pulmonary disease; DBP, diastole blood pressure; HR, heart rate; OI, oxygenation index; PaCO2, partial pressure of carbon dioxide in arterial blood; PEEP, positive end expiration pressure; PSV, pressure support ventilation; RR, respiratory rate; SBP, systolic blood pressure; T, temperature.

Figure 2

Kaplan-Meier curve of patients without reintubation.

Data are shown as mean ± SD or number [%]. APACHE, The Acute Physiologic and Chronic Health Evaluation; COPD, chronic obstructive pulmonary disease; DBP, diastole blood pressure; HR, heart rate; OI, oxygenation index; PaCO2, partial pressure of carbon dioxide in arterial blood; PEEP, positive end expiration pressure; PSV, pressure support ventilation; RR, respiratory rate; SBP, systolic blood pressure; T, temperature. Kaplan-Meier curve of patients without reintubation.

Hospital mortality

presents the characteristics of the patients who survived and died. Except for the OI at ICU admission (201.74 vs. 249.12, P=0.029), we did not find any difference between the patients that survived and died. Hospital mortality was lower in patients who had less diaphragm thickness loss (18% vs. 4%, P<0.01). After adjustment for alcohol abuse, OI and HR at ICU admission, the difference remained significant (): aOR 0.001; 95% CI, 0.001–0.035 (P=0.007). In the log-rank test, significant differences also existed in the median time from extubation to death (P=0.004) ().
Table 3

Comparison between patients survival and death

IndexesSurvival (n=131)Death (n=14)P
Age, year65.17±16.7568.21±15.670.516
Male82 [63]10 [71]0.452
APACHE II score19.37±6.9222.29±7.300.139
Baseline diaphragm thickness, mm0.41±0.060.42±0.050.691
Diaphragm thickness before extubation, mm0.28±0.060.22±0.050.002
Change in diaphragm thickness, mm0.13±0.070.19±0.060.003
Smoking62 [47]7 [50]0.790
Acohol abuse30 [23]6 [43]0.089
Diagnosis
   Pneumonia59 [45]5 [36]0.550
   COPD61 [47]8 [57]0.407
   Other11 [8]1 [7]0.683
Initial mode of mechanical ventilation
   Control113 [86]12 [86]0.626
   PSV21 [16]2 [14]
PEEP, cmH2O5.99±4.415.5±1.340.679
Underlying disease
   Diabetes10 [8]2 [14]0.317
   Hypertension25 [19]1 [7]0.252
   Arrhythmia9 [7]1 [7]0.642
Arterial blood gas
   PH7.41±0.067.44±0.060.185
   PaCO2, cmH2O48.54±14.7742.14±10.290.116
   OI201.74±76.91249.12±71.790.029
T, °C36.84±0.6436.68±0.670.370
RR, times/hour20.47±7.2325.71±15.540.233
HR, times/hour96.43±24.53108.86±35.260.087
SBP, mmHg132.44±20.72126.79±33.800.368
DBP, mmHg75.27±13.9773.93±20.960.819
MV time, days11.70±9.4921.57±15.310.013

Data are shown as mean ± SD or number [%]. APACHE, The Acute Physiologic and Chronic Health Evaluation; COPD, chronic obstructive pulmonary disease; DBP, diastole blood pressure; HR, heart rate; OI, oxygenation index; PaCO2, partial pressure of carbon dioxide in arterial blood; PEEP, positive end expiration pressure; PSV, pressure support ventilation; RR, respiratory rate; SBP, systolic blood pressure; T, temperature.

Table 4

Effect of diaphragm thickness change on clinical outcomes of patients

IndexesUnadjusted ORAdjusted OR
Odds ratio (95%CI)P valueOdds ratio (95% CI)P value
Reintubation0.267 (0.114–0.624)0.0020.001 (0.001–0.271)0.018
Hospital mortality0.163 (0.043–0.613)0.0070.001 (0.001–0.035)0.007

CI, confidence interval; OR, odds ratio.

Figure 3

Kaplan-Meier curve of patients who survived.

Data are shown as mean ± SD or number [%]. APACHE, The Acute Physiologic and Chronic Health Evaluation; COPD, chronic obstructive pulmonary disease; DBP, diastole blood pressure; HR, heart rate; OI, oxygenation index; PaCO2, partial pressure of carbon dioxide in arterial blood; PEEP, positive end expiration pressure; PSV, pressure support ventilation; RR, respiratory rate; SBP, systolic blood pressure; T, temperature. CI, confidence interval; OR, odds ratio. Kaplan-Meier curve of patients who survived.

ICU LOS after extubation

We did not find any significant difference between the patients with more than and those with less than 1.55 mm diaphragm thickness loss in terms of ICU LOS (9.52 vs. 9.47 days, P=0.98).

Discussion

In this study, all patients who received MV had diaphragm thickness loss. In addition, less loss of diaphragm thickness between the baseline measurement after MV and the last measurement obtained before weaning was related to a lower rate of reintubation and hospital mortality. Our study showed that the higher the diaphragm thickness loss, the higher the rate of reintubation. According to previous findings, the decrease in diaphragm thickness during MV could be explained by the following. First, MV itself could lead to diaphragm function loss. It has been shown that MV might cause diaphragmatic dysfunction in animal models (24). The main mechanism was that MV could cause a significant decrease in diaphragm force and fiber dimensions and an increase in lipid accumulation (25,26). Recently, some other studies showed that decreases in diaphragm thickness are common during MV in humans, which suggests impaired diaphragmatic function (27). A study performed by Grosus showed that the overall rate of decrease in the diaphragm thickness of patients over time was an average of 6% per day of MV (28). Second, inflammation was very common in critical patients and was another factor that contributed to diaphragm dysfunction and thickness loss. Apart from atrophy resulting from systematic inflammation, increased pro-inflammatory cytokine production and autophagy, a worsening of oxidative stress and increasing nitric oxide levels may be the major factors that lead to diaphragm thickness loss (29,30). Third, prolonged sedation also had an impact on diaphragm thickness. Research has shown that sedation inhibits respiratory drive and causes diaphragm immobilization (31). A study of 36 patients found that diaphragmatic strength decreased during sedation, which was measured by ultrasound (32). Fourth, systemic muscular weakness and neuromuscular weakness are common among patients who undergo MV because of immobilization, the use of neuromuscular blocking agents, and critical illness (33). Fifth, malnutrition also contributes to the loss of thickness of the diaphragm (34) and is very common in critically ill patients (35). Moreover, studies showed that in patients with chronic hyperinflation states, diaphragm muscle length shortened by 30% to 40% from residual volume to total lung capacity (36). Autopositive end expiratory pressure (auto-PEEP) can influence both respiratory and cardiac function by causing alveolar overdistension and can lead to hypoxemia if V/Q mismatch increases due to compression of the adjacent pulmonary blood vessels. Auto-PEEP and hyperinflation also increase intrathoracic pressure, which can decrease venous return, reduce cardiac output, and potentially cause hypotension (37,38). Thus, the thickness of the diaphragm, which is related to the extent of auto-PEEP and dynamic hyperinflation, affects the weaning results. The diaphragm is the major inspiration muscle and contributes to the majority of volume change during inspiration (16). Additionally, a sufficient contractile diaphragm should be a prerequisite for successful extubation. Thus, a large loss of diaphragm thickness means that the patients cannot receive enough ventilation and will eventually require reintubation. We also found higher mortality in patients with higher diaphragm thickness loss. This may be mainly due to the higher rate of reintubation. Studies have shown that many adverse events caused by reintubation are related to invasive MV, such as ventilator-associated lung injury, ventilator-associated pneumonia and barotrauma, which multiply the rate of mortality (9,39). However, we did not find any significant difference in ICU LOS between the two groups. It is undeniable that medical resources as well as expenditures are tightly related to disease outcomes, such as bed availability in general wards and insurance status. More studies that focus on this issue are necessary to draw a definite conclusion. A study showed that in patients receiving mechanical ventilation for more than 7 days, systematic corticosteroids lead to neuromyopathy (32). Animal studies have indicated that systematic methylprednisolone progressively decreases the diaphragm force, and high doses play a more significant role than low doses (40). In our study, we found that the patients who has ever used the corticosteroids did have more diaphragm thickness loss (0.15 vs. 0.13, P=0.038, ), although we did not control the dose nor length of corticosteroids usage. Further studies need to be done to find out the exact role of corticosteroids in diaphragm thickness change of patients received mechanical ventilation.
Table S1

The effect of corticosteroids on diaphragm thickness loss

Non-corticosteroids (n=80)Corticosteroids (n=65)P
Diaphragm thickness loss0.13±0.080.15±0.070.038
Our study has several limitations. First, it is unknown whether diaphragm thickness measured by CT scan at a single point time is representative of the changes that occur over the course of progressive disease. Second, a loss of diaphragm thickness does not imply a loss of diaphragm function, limiting the application of this measurement. Third, the thickness of the diaphragm is influenced by many factors, such as the interaction of diaphragm contour thickness, force generation, and coupling to the abdominal and thoracic musculature.

Conclusions

The patients with higher diaphragm thickness loss had a higher rate of reintubation and hospital mortality, but a significant difference in ICU LOS after extubation was not found.
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