Prognostic factors and outcomes of unplanned extubation.
Ontology highlight
ABSTRACT:
SUBMITTER: Chao CM
PROVIDER: S-EPMC5561237 | biostudies-literature | 2017 Aug
REPOSITORIES: biostudies-literature
Publications
Prognostic factors and outcomes of unplanned extubation.
Chao Chien-Ming CM Sung Mei-I MI Cheng Kuo-Chen KC Lai Chih-Cheng CC Chan Khee-Siang KS Cheng Ai-Chin AC Hsing Shu-Chen SC Chen Chin-Ming CM
Scientific reports 20170817 1
This study investigated the prognostic factors and outcomes of unplanned extubation (UE) in patients in a medical center's 6 intensive care units (ICUs) and calculated their mortality risk. We retrospectively reviewed the medical records of all adult patients in Chi Mei Medical Center who underwent UE between 2009 and 2015. During the study period, there were 305 episodes of UE in 295 ICU patients (men: 199 [67.5%]; mean age: 65.7 years; age range: 18-94 years). The mean Acute Physiology and Chr ...[more]
Similar Datasets
Project description:BackgroundUnplanned extubation is the removal of an endotracheal tube accidently during procedural activities or by the action of the patient. It is one of the commonly reported complications among mechanically ventilated patients in the intensive care unit. This study aimed to assess the magnitude and associated factors of unplanned extubation in intensive care units at referral hospitals in Addis Ababa, Ethiopia, 2021.MethodsInstitutional based prospective observational study was conducted on 317 intubated patients in the intensive care unit at referral hospitals of Addis Ababa, Ethiopia, from January 8, 2021-May 9, 2021. Data were collected using a structured questionnaire. Descriptive statics were expressed in percentages and presented with tables and figures. Both Bivariable and multivariable logistic analysis was done to identify factors associated with unplanned extubation in intensive care unit. P < 0.05 with 95% CI was set as Statistical significance.ResultThe prevalence of unplanned extubation in this study was 19.74%. Being male (AOR = 3.132, 95%CI: 1.276-7.69), duration of intubation <5days (AOR = 2.475, 95% CI: 1.039-5.894), managed by junior resident (AOR = 5.25, 95% CI: 2.125-12.969), being physically restrained (AOR = 4.356, 95%CI: 1.786-10.624), night shift (AOR = 3.282, 95%CI:1.451-7.424)and agitation (AOR = 4.934,95%CI:1.934-12.586) were significantly contribute to the occurrence of unplanned extubation.Conclusionand recommendation: This study showed that the prevalence of unplanned extubation was high in the intensive care unit. We suggest to intensive care unit staff to give special attention to early intubated patients, especially male individuals and the stakeholders of hospitals should rearrange the time of shift and physician schedules in the intensive care unit.
| S-EPMC9289303 | biostudies-literature
Project description:ImportanceUnplanned extubations (UEs) in children contribute to significant morbidity and mortality, with an arbitrary benchmark target of less than 1 UE per 100 ventilator days. However, there have been no multicenter initiatives to reduce these events.ObjectiveTo determine if a multicenter quality improvement initiative targeting all intubated neonatal and pediatric patients is associated with a reduction in UEs and morbidity associated with UE events.Design, setting, and participantsThis multicenter quality improvement initiative enrolled patients from pediatric, neonatal, and cardiac intensive care units (ICUs) in 43 participating children's hospitals from March 2016 to December 2018. All patients with an endotracheal tube requiring mechanical ventilation were included in the study.InterventionsParticipating hospitals implemented a quality improvement bundle to reduce UEs, which included standardized anatomic reference points and securement methods, protocol for high-risk situations, and multidisciplinary apparent cause analyses.Main outcomes and measuresThe main outcome measures for this study included bundle compliance with each factor tested and UE rates on the center level and on the cohort level.ResultsAmong the 43 children's hospitals, the quality improvement initiative was associated with an aggregate 24.1% reduction in UE events, from a baseline rate of 1.135 UEs per 100 ventilator days to 0.862 UEs per 100 ventilator days. Across ICU settings studied, the pediatric ICU and neonatal ICU demonstrated centerline shifts, with an absolute reduction in events of 20.6% (from a baseline rate of 0.729 UEs per 100 ventilator days to 0.579 UEs per 100 ventilator days) and 17.6% (from a baseline rate of 1.555 UEs per 100 ventilator days to 1.282 UEs per 100 ventilator days), respectively. Most UEs required reintubation within 1 hour (mean of 120 of 206 events per month [58.3%]), followed by UEs that did not require reintubation (mean of 78 of 206 events per month [37.9%]) and UEs that resulted in cardiovascular collapse (mean of 8 of 206 events per month [3.9%]). Cardiovascular collapse events represented the most significant consequence of UE studied, and the collaborative reduced these UE events by 36.6%, from a study baseline rate of 0.041 UEs per 100 ventilator days to 0.026 UEs per 100 ventilator days.Conclusions and relevanceThis multicenter quality improvement initiative was associated with a reduction in UEs across different pediatric populations in diverse settings. A significant reduction in event rate and rate of harm (cardiovascular collapse) was observed, which was sustained over the time course of the intervention. This quality improvement process and UE bundle may be considered standard of care for pediatric hospitals in the future.
| S-EPMC7154960 | biostudies-literature
Project description:Most reports regarding unplanned extubation (UE) are case-control studies with matching age and disease severity. To avoid diminishing differences in matched factors, this study with only matching duration of mechanical ventilation aimed to re-examine the risk factors and the factors governing outcomes of UE in intensive care units (ICUs). This case-control study was conducted on 1,775 subjects intubated for mechanical ventilation. Thirty-seven (2.1%) subjects with UE were identified, and 156 non-UE subjects were randomly selected as the control group. Demographic data, acute Physiological and Chronic Health Evaluation II (APACHE II) scores, and outcomes of UE were compared between the two groups. Logistic regression analysis was used to identify the risk factors of UE. Milder disease, younger age, and higher Glasgow Coma Scale (GCS) scores with more frequently being physically restrained (all p<0.05) were related to UE. Logistic regression revealed that APACHE II score (odds ratio (OR) 0.91, p<0.01), respiratory infection (OR 0.24, p<0.01), physical restraint (OR 5.36, p<0.001), and certain specific diseases (OR 3.79-5.62, p<0.05) were related to UE. The UE patients had a lower ICU mortality rate (p<0.01) and a trend of lower in-hospital mortality rate (p = 0.08). Cox regression analysis revealed that in-hospital mortality was associated with APACHE II score, age, shock, and oxygen used, all of which were co-linear, but not UE. The results showed that milder disease with higher GCS scores thereby requiring a higher use of physical restraints were related to UE. Disease severity but not UE was associated with in-hospital mortality.
| S-EPMC4617893 | biostudies-literature
Project description:To determine the rate of unplanned PICU readmissions, examine the characteristics of index admissions associated with readmission, and compare outcomes of readmissions versus index admissions.Retrospective cohort analysis.Ninety North American PICUs that participated in the Virtual Pediatric Intensive Care Unit Systems.One hundred five thousand four hundred thirty-seven admissions between July 2009 and March 2011.None.Unplanned PICU readmission within 48 hours of index discharge was the primary outcome. Summary statistics, bivariate analyses, and mixed-effects logistic regression model with random effects for each hospital were performed.There were 1,161 readmissions (1.2%). The readmission rate varied among PICUs (0-3.3%), and acute respiratory (56%), infectious (35%), neurological (28%), and cardiovascular (20%) diagnoses were often present on readmission. Readmission risk increased in patients with two or more complex chronic conditions (adjusted odds ratio, 1.72; p < 0.001), unscheduled index admission (adjusted odds ratio, 1.37; p < 0.001), and transfer to an intermediate unit (adjusted odds ratio, 1.29; p = 0.004, compared with ward). Trauma patients had a decreased risk of readmission (adjusted odds ratio, 0.67; p = 0.003). Gender, race, insurance, age more than 6 months, perioperative status, and nighttime transfer were not associated with readmission. Compared with index admissions, readmissions had longer median PICU length of stay (3.1 vs 1.7 d, p < 0.001) and higher mortality (4% vs 2.5%, p = 0.002).Unplanned PICU readmissions were relatively uncommon, but were associated with worse outcomes. Several patient and admission characteristics were associated with readmission. These data help identify high-risk patient groups and inform risk-adjustment for standardized readmission rates.
| S-EPMC4327890 | biostudies-literature
Project description:The unplanned extubation (UE), a common adverse event in the neonatal intensive care unit (NICU), may result in airway trauma, cardiopulmonary resuscitation, and, in extreme cases, death. As part of the Nationwide Children's Hospital NICU's effort to optimize NICU graduates' neurodevelopmental outcomes, skin-to-skin care of intubated infants is encouraged, while sedation and restraints to prevent UE are strongly discouraged. This project aimed to decrease the UE rate from 1.85 to 1.5 per 100 endotracheal tube (ETT) days.MethodsThe project occurred in a 114-bed, level-IV NICU with approximately 850 admissions per year and 100% outborn infants. A multidisciplinary team began biweekly meetings to review all UE events, later separating these into preventable and nonpreventable. Important ongoing tests of change included assigning a single process owner for UE reporting, ensuring proper ETT securement, and using 2 clinical staff during patient and/or ETT manipulation.ResultsEarly in the project, enhanced detection led to an increased rate from 1.85 to 3.26 per 100 ETT days. However, identifying preventable events empowered staff to decrease the frequency to 2.03 per 100 ETT days. In August 2017, an ETT taping method change produced an increase in special causes due to decreased compliance. However, when securement methods were enhanced, noncompliance reversed and is now trending favorably.ConclusionsDecreasing UE in a neurodevelopmentally friendly unit, which avoids sedation and restraints, is challenging. Using a multidisciplinary quality improvement approach and after appropriately capturing events, we reduced UE, with the highest impact of intervention being ETT securement standardization.
| S-EPMC8487773 | biostudies-literature
Project description:BackgroundUnplanned reoperation is a potential risk factor for worse prognoses and reflects the quality of surgical treatment. This study compared the short-term outcomes between patients with and without reoperation and identified clinical factors predicting reoperation within 90 days following pulmonary surgery.MethodsConsecutive patients undergoing pulmonary resection from January 2012 to August 2021 at our institution were retrospectively reviewed. Clinical and operation-related data were collected and analyzed. Kaplan‒Meier, Cox hazard proportional regression, and propensity score matching were adopted for prognostic evaluation.ResultsA total of 90263 patients were included: 247 (0.27%) patients required reoperation within 90 days. Patients undergoing unplanned reoperation had higher mortality and more postoperative complications than the nonreoperation group. Reoperation within 24 h was associated with reduced odds of mortality relative to reoperation beyond 24 h. Independent risk factors for unplanned reoperation were male sex, benign lung disease, specific surgical locations, lobectomy, and pneumonectomy. A history of smoking, pulmonary tuberculosis, intraoperative pleural adhesion, and postoperative complications were also identified as predisposing factors. The most common complication was hemorrhage in 75.7% (187 of 247).ConclusionOur study found that unplanned reoperation was a rare but serious event that increased the risk of postoperative complications and mortality. We identified several risk factors that could be used to stratify patients according to their reoperation risk and suggest that high-risk patients should receive more intensive monitoring and preventive measures. Moreover, our study indicated that reoperating within 24 h could improve the outcomes for patients who needed reoperation.
| S-EPMC10560774 | biostudies-literature
Project description:PurposeAdrenocortical carcinoma (ACC) is an aggressive tumor characterized by a high recurrence rate and poor response to treatment. This study analyzes a consecutive series of ACC patients to evaluate the prognostic value of various clinical and pathological characteristics.MethodsWe retrospectively evaluated 32 ACC patients followed at our Medical Center from 1997 to 2015 and evaluated the prognostic value of age at diagnosis, gender, tumor functional status, stage, and type of treatment with respect to overall survival (OS) and disease-free survival (DFS), as determined by Kaplan-Meier curves.ResultsACC was associated with hormonal overproduction in 50% of cases, and patients with isolated hyperandrogenism had a better prognosis. Recurrence was observed in 12/26 (46.2%) patients with no evidence of disease after surgery. Tumor size [hazard ratio (HR) 1.32, 95% confidential intervals (CI) 1.12-1.64; p = 0.007], ki-67 (HR 1.06, 95% CI 1.02-1.11; p = 0.009) and advanced stage at diagnosis (III-IV) (HR 6.51, 95% CI 1.65-24.68; p = 0.006) were associated with recurrence in the 26 R0 patients in the univariate analysis. Advanced stage was an independent risk factor for recurrence in the multivariate analysis (HR 8.10, 95% CI 1.55-41.35; p = 0.01). Five-year survival was 40.0%. Positive resection margins (HR 10.61, 95% CI 3.02-38.31; p = < 0.001), ki-67 (HR 1.04, 95% CI 1.01-1.07; p = 0.01) and advanced stage (HR 11.31, 95% CI 1.45-87.76; p = 0.02) were associated with poor survival in all 32 patients, but only positive resection margins were an independent predictor of mortality in the multivariate analysis (HR 6.22, 95% CI 1.44-26.05; p = 0.01).ConclusionACC has a poor prognosis with a high recurrence rate. Tumor stage at diagnosis and the completeness of surgical excision are the most relevant prognostic factors.
| S-EPMC4958635 | biostudies-literature
Project description:ImportanceExtubation failure (EF) after pediatric cardiac surgery is associated with increased morbidity and mortality.ObjectivesWe sought to describe the risk factors associated with early (< 48 hr) and late (48 hr ≤ 168 hr) EF after pediatric cardiac surgery and the clinical implications of these two types of EF.Design setting and participantsRetrospective cohort study using prospectively collected clinical data for the Pediatric Cardiac Critical Care Consortium (PC4) Registry. Pediatric patients undergoing Society of Thoracic Surgeons benchmark operation or heart transplant between 2013 and 2018 available in the PC4 Registry were included.Main outcomes and measuresWe analyzed demographics and risk factors associated with EFs (primary outcome) including by type of surgery. We identified potentially modifiable risk factors. Clinical outcomes of mortality and length of stay (LOS) were reported.ResultsOverall 18,278 extubations were analyzed. Unplanned extubations were excluded from the analysis. The rate of early EF was 5.2% (948) and late EF was 2.5% (461). Cardiopulmonary bypass time, ventilator duration, airway anomaly, genetic abnormalities, pleural effusion, and diaphragm paralysis contributed to both early and late EF. Extubation during day remote from shift change and nasotracheal route of initial intubation was associated with decreased risk of early EF. Extubation in the operating room was associated with an increased risk of early EF but with decreased risk of late EF. Across all operations except arterial switch, EF portrayed an increased burden of LOS and mortality.Conclusion and relevanceBoth early and late EF are associated with significant increase in LOS and mortality. Study provides potential benchmarking data by type of surgery. Modifiable risk factors such as route of intubation, time of extubation as well as treatment of potential contributors such as diaphragm paralysis or pleural effusion can serve as focus areas for reducing EFs.
| S-EPMC10519555 | biostudies-literature
Project description:Objective Myasthenic crisis (MC) is considered the most severe adverse event in patients with myasthenia gravis. The present retrospective study was performed to evaluate the predictors of clinical outcomes in patients with MC. Methods The medical charts of 33 patients (19 women, 14 men) with 76 MC attacks from 2002 to 2014 were retrospectively reviewed. Early extubation (?7 days) and prolonged ventilation (>15 days) during the MC were used to assess patient outcomes. Results Among the 33 patients, 24 (72.7%) had positive acetylcholine receptor antibody test results and 20 (60.6%) experienced recurrent MC attacks (?2 episodes) during follow-up (median 83.6 months, range 1.5-177 months). Plasma exchange during an MC was significantly associated with early extubation. Male sex, older age (>50 years), atelectasis, and ventilator-associated pneumonia significantly contributed to prolonged ventilation. In 22 patients who underwent thymectomy, both the duration between MC attacks and the mean number of MC attacks were significantly reduced after surgery. Conclusions Plasma exchange during MC attacks was found to be important for early extubation; older patients and those with atelectasis or ventilator-associated pneumonia were more vulnerable to prolonged ventilation. Thymectomy may be useful to prevent recurrence of MC.
| S-EPMC5536745 | biostudies-literature
Project description:BackgroundPatient safety in the intensive care unit (ICU) is one of the most critical issues, and unplanned extubation (UE) is considered the most adverse event for patient safety. Prevention and early detection of such an event is an essential but difficult component of quality care.ObjectiveThis study aimed to develop and validate prediction models for UE in ICU patients using machine learning.MethodsThis study was conducted in an academic tertiary hospital in Seoul, Republic of Korea. The hospital had approximately 2000 inpatient beds and 120 ICU beds. As of January 2019, the hospital had approximately 9000 outpatients on a daily basis. The number of annual ICU admissions was approximately 10,000. We conducted a retrospective study between January 1, 2010, and December 31, 2018. A total of 6914 extubation cases were included. We developed a UE prediction model using machine learning algorithms, which included random forest (RF), logistic regression (LR), artificial neural network (ANN), and support vector machine (SVM). For evaluating the model's performance, we used the area under the receiver operating characteristic curve (AUROC). The sensitivity, specificity, positive predictive value, negative predictive value, and F1 score were also determined for each model. For performance evaluation, we also used a calibration curve, the Brier score, and the integrated calibration index (ICI) to compare different models. The potential clinical usefulness of the best model at the best threshold was assessed through a net benefit approach using a decision curve.ResultsAmong the 6914 extubation cases, 248 underwent UE. In the UE group, there were more males than females, higher use of physical restraints, and fewer surgeries. The incidence of UE was higher during the night shift as compared to the planned extubation group. The rate of reintubation within 24 hours and hospital mortality were higher in the UE group. The UE prediction algorithm was developed, and the AUROC for RF was 0.787, for LR was 0.762, for ANN was 0.763, and for SVM was 0.740.ConclusionsWe successfully developed and validated machine learning-based prediction models to predict UE in ICU patients using electronic health record data. The best AUROC was 0.787 and the sensitivity was 0.949, which was obtained using the RF algorithm. The RF model was well-calibrated, and the Brier score and ICI were 0.129 and 0.048, respectively. The proposed prediction model uses widely available variables to limit the additional workload on the clinician. Further, this evaluation suggests that the model holds potential for clinical usefulness.
| S-EPMC8387891 | biostudies-literature