Factors Associated With Reintubation in Patients With Chronic Obstructive Pulmonary Disease

Analysis of pre-admission risk factors for unplanned reintubation in geriatric trauma patients

INTRODUCTION

Reintubation in unplanned scenarios, carries inherent risks and potential complications particularly in vulnerable populations such as geriatric trauma patients. We sought to identify preadmission risk factors for unplanned re-intubation (URI) in geriatric trauma patients and its effects on outcomes.

METHODS

Analysis of TQIP (2017-2019) of intubated geriatric trauma patients, classified into two groups, those who were successfully extubated and those who required URI. We used logistic regression to assess for preadmission risk factors of URI.

RESULTS

Among 23,572 patients, 20.2 ​% underwent URI. URI had higher mortality (13.7%vs.8.1 ​%, p ​< ​0.001), in-hospital complications (p ​< ​0.05), longer hospital and ICU LOS (p ​< ​0.001 for both). Higher age (OR ​= ​1.017), smoking (OR ​= ​1.418), CRF(OR ​= ​1.414), COPD (OR ​= ​1.410), alcohol use (OR ​= ​1.365), functionally dependent health status (OR ​= ​1.339), and anticoagulant use (OR ​= ​1.148), increased the risks of URI (p ​< ​0.05 for all).

CONCLUSION

Geriatric patients with comorbidities including age, smoking, CRF, COPD, alcohol use, dependent status, and anticoagulant use are at higher risks of URI that could in turn, be associated with increased rates of mortality, complications, and longer hospital and ICU length of stay.

LEVEL OF EVIDENCE

Level III retrospective study.

The risk factors of reintubation in intensive care unit patients on mechanical ventilation: A systematic review and meta-analysis

OBJECTIVE

To assess risk factors of reintubation in intensive care unit patients on mechanical ventilation.

METHODOLOGY

We conducted a systematic review of literature (inception to May 2022) and a meta-analysis. Data are reported as pooled odds ratios for categorical variables and mean differences for continuous variables.

RESULTS

A total of 2459 studies were retrieved of which 38 studies were included in a meta-analysis involving 22,304 patients. Risk factors identified were: older age, higher APACHE II scores, COPD, pneumonia, shock, low SaO₂, low PaO₂, low PaO₂/FiO₂, low hemoglobin, low albumin, high brain natriuretic peptide, low pH, high respiratory rate, low tidal volume, a higher rapid shallow breathing index, a lower vital capacity, a higher number of spontaneous breathing trials, prolonged length of mechanical ventilation, weak cough, a reduced patient's cough peak flow and positive cuff leak test. Subgroup analysis showed that risk factors substantially overlap when reintubation was considered within 48 hours or within 72 hours after extubation.

CONCLUSIONS

We identified 21 factors associated with increased risk for reintubation. These allow to recognize the patient at high risk for reintubation at an early stage. Future studies may combine these factors to develop comprehensive predictive algorithms allowing appropriate vigilance.

Prediction of extubation outcome in critically ill patients: a systematic review and meta-analysis

BACKGROUND

Extubation failure is an important issue in ventilated patients and its risk factors remain a matter of research. We conducted a systematic review and meta-analysis to explore factors associated with extubation failure in ventilated patients who passed a spontaneous breathing trial and underwent planned extubation. This systematic review was registered in PROPERO with the Registration ID CRD42019137003.

METHODS

We searched the PubMed, Web of Science and Cochrane Controlled Register of Trials for studies published from January 1998 to December 2018. We included observational studies involving risk factors associated with extubation failure in adult intensive care unit patients who underwent invasive mechanical ventilation. Two authors independently extracted data and assessed the validity of included studies.

RESULTS

Sixty-seven studies (involving 26,847 participants) met the inclusion criteria and were included in our meta-analysis. We analyzed 49 variables and, among them, we identified 26 factors significantly associated with extubation failure. Risk factors were distributed into three domains (comorbidities, acute disease severity and characteristics at time of extubation) involving mainly three functions (circulatory, respiratory and neurological). Among these, the physiological respiratory characteristics at time of extubation were the most represented. The individual topic of secretion management was the one with the largest number of variables. By Bayesian multivariable meta-analysis, twelve factors were significantly associated with extubation failure: age, history of cardiac disease, history of respiratory disease, Simplified Acute Physiologic Score II score, pneumonia, duration of mechanical ventilation, heart rate, Rapid Shallow Breathing Index, negative inspiratory force, lower PaO2/FiO2 ratio, lower hemoglobin level and lower Glasgow Coma Scale before extubation, with the latest factor having the strongest association with extubation outcome.

CONCLUSIONS

Numerous factors are associated with extubation failure in critically ill patients who have passed a spontaneous breathing trial. Robust multiparametric clinical scores and/or artificial intelligence algorithms should be tested based on the selected independent variables in order to improve the prediction of extubation outcome in the clinical scenario.

The Effect of Sedation Protocol on Sedation Level and Pharmacological and Non-Pharmacological Interventions on Mechanically Ventilated Patients

Background:

The use of analgesics and sedatives to provide sedation for Patients in Intensive Care Unit (ICU) is inevitable. The present study aimed to determine the effect of sedation protocol using the Richmond Agitation- Sedation Scale on sedation level and amount of pharmacological and non-pharmacological interventions on patients under mechanical ventilation.

Materials and Methods:

This randomized clinical trial was conducted on 79 patients under mechanical ventilation in Zanjan. The patients were recruited using the blocking randomized sampling method. In the experiment group, the sedation was provided hourly, using the Richmond sedation Protocol, during the mechanical ventilation period. The level of sedation and pharmacological and nonpharmacological interventions were compared in the two groups using Fisher exact test.

Results:

Totally, 40 patients in the experiment and 39 patients in the control groups were evaluated. No significant difference was found between the two groups in terms of confounding variables (age, sex, level of consciousness, Acute Physiologic and Chronic Health Evaluation (APACHE) II criterion, underlying disease, and cause of hospitalization). The level of sedation in the experiment group was significantly closer to the ideal score of the Richmond Scale compared to the control group (p < 0.001). The experimental group received significantly more non-pharmacological interventions and fewer pharmacological interventions compared to the control group (P < 0.001).

Conclusions:

Using a sedation protocol could provide better sedation levels in patients under mechanical ventilation, and reduce the use of sedative medications, and consequently, the cost of hospitalization. Further research is suggested.

Comparison of "cough peak expiratory flow measurement" and "cough strength measurement using the white card test" in extubation success: A randomized controlled trial

Background:

Failed extubation and subsequent re-intubation in ventilated patients can lead to many adverse consequences, including organizational and personal expenditures. Extubation decisions based on subjective methods are a major contributor to extubation failure. This study compared the effect of cough peak expiratory flow (PEF) measurement and cough strength measurement using the white card test (WCT) on extubation success.

Materials and Methods:

This randomized clinical trial was conducted in two groups in 2018 on 88 ventilated patients in intensive care units of Imam Reza Hospital in Mashhad, Iran. Ninety patients were divided into two groups of 45, but two were excluded from the white card group. The criteria established for extubation included PEF ≥60 L/min during coughing in the cough PEF group and noticing card humidity in the WCT group. In both groups, extubation success was determined as the sole outcome and was compared with the standard PEF and cough strength. The researcher who assessed the outcome and statistician were blinded about group allocation.

Results:

Extubation success was measured as 97.8% in the cough PEF group and 76.7% in the WCT group (P = 0.003) during the first 24 h. In the second 24 h, however, successful extubation was reported as 90.9% in the cough PEF group and 60.6% in the WCT group (P = 0.002).

Conclusion:

Using the cough PEF rate increases the likelihood of extubation success and reduces adverse effects, and is recommended to be used for extubation decision-making.

Chronic Obstructive Pulmonary Disease Is an Independent Predictor for 30-Day Complications and Readmissions Following 1- to 2-Level Anterior Cervical Discectomy and Fusion

STUDY DESIGN

Retrospective cohort.

OBJECTIVES

To study evidence to assess the impact of chronic obstructive pulmonary disease (COPD) on 30-day outcomes following 1- to 2-level anterior cervical discectomy and fusion (ACDF).

METHODS

The 2015-2016 American College of Surgeons-National Surgical Quality Improvement Program (ACS-NSQIP) database was queried using Current Procedural Terminology (CPT) codes 22 551 (single-level) and 22 552 (additional level). Patients undergoing disc arthroplasty, multilevel (>2) fusion, posterior cervical spine surgery, and patients with fracture, tumor, and/or infection were excluded.

RESULTS

Out of 14 835 patients undergoing an elective 1- to 2-level ACDF, 649 (4.4%) had a diagnosis of COPD at the time of the surgery. Following adjusted logistic regression analysis, prior history of COPD was significantly associated with a longer length of stay (odds ratio [OR] 1.25 [95% confidence interval (CI0 1.04-1.52]; P = .019), superficial surgical site infection (OR 2.68 [95% CI 1.06-6.80]; P = .038), discharge destination other than home (OR 1.49 [95% CI 1.05-2.12]; P = .026), pneumonia (OR 4.37 [95% CI 2.42-7.88]; P < .001), ventilator use >48 hours (OR 5.34 [95% CI 1.88-15.15]; P = .002), unplanned reintubation (OR 3.36 [1.48-7.62]; P = .004), and 30-day readmissions (OR 1.69 [95% CI 1.20-2.38]; P = .003).

CONCLUSIONS

The findings of this study show that COPD patients are more likely to have postoperative complications and 30-day readmissions, despite elective ACDF itself being a low-risk surgery in general. Results show that majority of the complications were pulmonary in nature, further stressing the need for accurate medical optimization following surgery in these patients.

Outcomes in Patients With Acute Stroke Requiring Mechanical Ventilation: Predictors of Mortality and Successful Extubation

BACKGROUND

The majority of patients with acute stroke requiring mechanical ventilation have a poor prognosis and often present difficult decisions regarding extubation. The best criteria for planned extubation in these patients are uncertain.

METHODS

We reviewed the electronic medical records of patients hospitalized between 1/1/2010 and 12/15/2015 with acute stroke requiring mechanical ventilation to determine the mortality rate, the respiratory parameters recorded before planned extubation, and the reintubation rate.

RESULTS

This study included 226 patients. The mean age was 60.3 ± 14.3 years. The mean duration of mechanical ventilation was 6.5 ± 5.9 days. The overall in-hospital mortality rate was 56.6%. The best predictors of mortality were age and stroke volume calculated from radiographic images. One hundred and one patients had planned extubations; 9 patients (8.9%) required reintubation. There was no difference in respiratory parameters or Glasgow coma scale scores between those patients with successful extubation and those patients with failed extubation.

CONCLUSIONS

The in-hospital mortality rate of patients with acute stroke who require mechanical ventilation is quite high. The success rate with planned extubation is relatively good and comparable to rates in previous studies which largely involved patients with respiratory failure. There is no single weaning parameter or Glasgow coma scale score which identifies patients with high success rates.

Case-control Study on Risk Factors of Unplanned Extubation Based on Patient Safety Model in Critically Ill Patients with Mechanical Ventilation

PURPOSE

This study aimed to identify risk factors of unplanned extubation in intensive care unit (ICU) patients with mechanical ventilation using a patient safety model.

METHODS

This study was designed to be a case-control study. Data collection sheets, including 29 risk factors of unplanned extubation in mechanically ventilation patients were retrospectively collected based on a patient safety model over 3 years. From 41,207 mechanically ventilated patients, 230 patients were identified to have unplanned extubation during their ICU stay. Based on the characteristics of the cohort of 230 patients who had unplanned extubation, 460 case control comparison groups with planned extubation were selected by matching age, gender and diagnosis.

RESULTS

Risk factors of unplanned extubation were categorized as people, technologies, tasks, environmental factors and organizational factors, by five components of the patient safety model. The results showed the risk factors of unplanned extubation as admission route [odds ratio (OR) = 1.8], Glasgow Coma Scale-motor (OR = 1.3), Acute Physiology and Chronic Health Evaluation score (OR = 1.06), agitation (OR = 9.0), delirium (OR = 11.6), mode of mechanical ventilation (OR = 3.0-4.1) and night shifts (OR = 6.0). The significant differences were found between the unplanned and the planned extubation groups on the number of reintubation (4.3% vs. 79.6%, p < .001), ICU outcome at the time of discharge (χ² = 50.7, p < .001), and length of stay in the ICU (27.0 ± 33.0 vs. 43.8 ± 43.5) after unplanned extubation.

CONCLUSION

ICU nurses should be able to recognize the risk factors of unplanned extubation related with the components of the safety model so as to improve patient safety by minimizing the risk for unplanned extubation.