scholarly journals Prediction of prolonged mechanical ventilation for intensive care unit patients: A cohort study

2013 ◽  
pp. 184-188 ◽  
Author(s):  
Alvaro Sanabria ◽  
Ximena Gomez ◽  
Valentin Vega ◽  
Luis Carlos Dominguez ◽  
Camilo Osorio

Introduction: There are no established guidelines for selecting patients for early tracheostomy. The aim was to determine the factors that could predict the possibility of intubation longer than 7 days in critically ill adult patients. Methods: This is cohort study made at a general intensive care unit. Patients who required at least 48 hours of mechanical ventilation were included. Data on the clinical and physiologic features were collected for every intubated patient on the third day. Uni- and multivariate statistical analyses were conducted to determine the variables associated with extubation. Results: 163 (62%) were male, and the median age was 59±17 years. Almost one-third (36%) of patients required mechanical ventilation longer than 7 days. The variables strongly associated with prolonged mechanical ventilation were: age (HR 0.97 (95% CI 0.96-0.99); diagnosis of surgical emergency in a patient with a medical condition (HR 3.68 (95% CI 1.62-8.35), diagnosis of surgical condition-non emergency (HR 8.17 (95% CI 2.12-31.3); diagnosis of non-surgical-medical condition (HR 5.26 (95% CI 1.85-14.9); APACHE II (HR 0.91 (95% CI 0.85-0.97) and SAPS II score (HR 1.04 (95% CI 1.00-1.09) The area under ROC curve used for prediction was 0.52. 16% of patients were extubated after day 8 of intubation. Conclusions: It was not possible to predict early extubation in critically ill adult patients with invasive mechanical ventilation with common clinical scales used at the ICU. However, the probability of successfully weaning patients from mechanical ventilation without a tracheostomy is low after the eighth day of intubation.

Medicina ◽  
2021 ◽  
Vol 57 (7) ◽  
pp. 674
Author(s):  
Sjaak Pouwels ◽  
Dharmanand Ramnarain ◽  
Emily Aupers ◽  
Laura Rutjes-Weurding ◽  
Jos van Oers

Background and Objectives: The aim of this study was to investigate the association between obesity and 28-day mortality, duration of invasive mechanical ventilation and length of stay at the Intensive Care Unit (ICU) and hospital in patients admitted to the ICU for SARS-CoV-2 pneumonia. Materials and Methods: This was a retrospective observational cohort study in patients admitted to the ICU for SARS-CoV-2 pneumonia, in a single Dutch center. The association between obesity (body mass index > 30 kg/m2) and 28-day mortality, duration of invasive mechanical ventilation and length of ICU and hospital stay was investigated. Results: In 121 critically ill patients, pneumonia due to SARS-CoV-2 was confirmed by RT-PCR. Forty-eight patients had obesity (33.5%). The 28-day all-cause mortality was 28.1%. Patients with obesity had no significant difference in 28-day survival in Kaplan–Meier curves (log rank p 0.545) compared with patients without obesity. Obesity made no significant contribution in a multivariate Cox regression model for prediction of 28-day mortality (p = 0.124), but age and the Sequential Organ Failure Assessment (SOFA) score were significant independent factors (p < 0.001 and 0.002, respectively). No statistically significant correlation was observed between obesity and duration of invasive mechanical ventilation and length of ICU and hospital stay. Conclusion: One-third of the patients admitted to the ICU for SARS-CoV-2 pneumonia had obesity. The present study showed no relationship between obesity and 28-day mortality, duration of invasive mechanical ventilation, ICU and hospital length of stay. Further studies are needed to substantiate these findings.


2021 ◽  
Author(s):  
Albert Prats-Uribe ◽  
Marc Tobed ◽  
José Miguel Villacampa ◽  
Adriana Agüero ◽  
Clara García-Bastida ◽  
...  

AbstractBackgroundThe COVID-19 pandemic has strained intensive care unit (ICU) resources. Tracheotomy is the most frequent surgery performed on ICU patients and can affect the duration of ICU care. We studied the association between when tracheotomy occurs and weaning from mechanical ventilation, mortality, and intraoperative and postoperative complications.MethodsMulticentre prospective cohort including all COVID-19 patients admitted to ICUs in 36 hospitals in Spain who received invasive mechanical ventilation and tracheotomy between 11 March and 20 July 2020. We used a target emulation trial framework to study the causal effects of early (7 to 10 days post-intubation) versus late (>10 days) tracheotomy on time from tracheotomy to weaning, postoperative mortality, and tracheotomy complications. Cause-specific Cox models were used for the first two outcomes and Poisson regression for the third, all adjusted for potential confounders.FindingsWe included 696 patients, of whom 142 (20·4%) received early tracheotomy. Using late tracheotomy as the reference group, multivariable cause-specific analysis showed that early tracheotomy was associated with faster post-tracheotomy weaning (fully adjusted hazard ratio (HR) [95% confidence interval (CI)]: 1·31 [1·02 to 1·81]) without differences in mortality (fully adjusted HR [95% CI]: 0·91 [0·56 to 1·47]) or intraoperative or postoperative complications (adjusted rate ratio [95% CI]: 0·21 [0·03 to 1·57] and 1·49 [0·99 to 2·24], respectively).InterpretationEarly tracheotomy reduced post-tracheotomy weaning time, resulting in fewer mechanical ventilation days and shorter ICU stays, without changing complication or mortality rates. These results support early tracheotomy for COVID-19 patients when clinically indicated.FundingSupported by the NIHR, FAME, and MRC.Research in contextEvidence before this studyThe optimal timing of tracheotomy for critically ill COVID-19 patients remains controversial. Existing guidelines and recommendations are based on limited experiences with SARS-CoV-1 and expert opinions derived from situations that differ from a pandemic outbreak. Most of the available guidance recommends late tracheotomy (>14 days), mainly due to the potential risk of infection for the surgical team and the high patient mortality rate observed early in the first wave of the COVID-19 pandemic.Recent publications have shown that surgical teams can safely perform tracheotomies for COVID-19 patients if they use adequate personal protective equipment. Early tracheotomy seems to reduce the length of invasive mechanical ventilation without increasing complications, which may release crucial intensive care unit (ICU) beds sooner.The current recommendations do not suggest an optimal time for tracheotomy for COVID-19 patients, and no study has provided conclusions based on objective clinical parameters.Added value of this studyThis is the first study aiming to establish the optimal timing for tracheotomy for critically ill COVID-19 patients requiring invasive mechanical ventilation (IMV). The study prospectively recruited a large multicentre cohort of 696 patients under IMV due to COVID-19 and collected data about the severity of respiratory failure, clinical and ventilatory parameters, and whether patients need to be laid flat during their ICU stay (proned). The analysis focused on the duration of IMV, mortality, and complication rates. We used a prospective cohort study design to compare the ‘exposures’ of early (performed at day 7 to 10 after starting IMV) versus late (performed after day 10) tracheotomy and set the treatment decision time on the 7th day after orotracheal intubation.Implications of all the available evidenceThe evidence suggests that tracheotomy within 10 days of starting COVID-19 patients on mechanical ventilation allows these patients to be removed from ventilation and discharged from ICU quicker than later tracheotomy, without added complications or increased mortality. This evidence may help to release ventilators and ICU beds more quickly during the pandemic.


Author(s):  
Matthew F. Mart ◽  
Shawniqua Williams Roberson ◽  
Barbara Salas ◽  
Pratik P. Pandharipande ◽  
E. Wesley Ely

AbstractDelirium is a debilitating form of brain dysfunction frequently encountered in the intensive care unit (ICU). It is associated with increased morbidity and mortality, longer lengths of stay, higher hospital costs, and cognitive impairment that persists long after hospital discharge. Predisposing factors include smoking, hypertension, cardiac disease, sepsis, and premorbid dementia. Precipitating factors include respiratory failure and shock, metabolic disturbances, prolonged mechanical ventilation, pain, immobility, and sedatives and adverse environmental conditions impairing vision, hearing, and sleep. Historically, antipsychotic medications were the mainstay of delirium treatment in the critically ill. Based on more recent literature, the current Society of Critical Care Medicine (SCCM) guidelines suggest against routine use of antipsychotics for delirium in critically ill adults. Other pharmacologic interventions (e.g., dexmedetomidine) are under investigation and their impact is not yet clear. Nonpharmacologic interventions thus remain the cornerstone of delirium management. This approach is summarized in the ABCDEF bundle (Assess, prevent, and manage pain; Both SAT and SBT; Choice of analgesia and sedation; Delirium: assess, prevent, and manage; Early mobility and exercise; Family engagement and empowerment). The implementation of this bundle reduces the odds of developing delirium and the chances of needing mechanical ventilation, yet there are challenges to its implementation. There is an urgent need for ongoing studies to more effectively mitigate risk factors and to better understand the pathobiology underlying ICU delirium so as to identify additional potential treatments. Further refinements of therapeutic options, from drugs to rehabilitation, are current areas ripe for study to improve the short- and long-term outcomes of critically ill patients with delirium.


Author(s):  
Laurence Orchard ◽  
Matthew Baldry ◽  
Myra Nasim-Mohi ◽  
Chantelle Monck ◽  
Kordo Saeed ◽  
...  

Abstract Objectives The pattern of global COVID-19 has caused many to propose a possible link between susceptibility, severity and vitamin-D levels. Vitamin-D has known immune modulatory effects and deficiency has been linked to increased severity of viral infections. Methods We evaluated patients admitted with confirmed SARS-COV-2 to our hospital between March-June 2020. Demographics and outcomes were assessed for those admitted to the intensive care unit (ICU) with normal (>50 nmol/L) and low (<50 nmol/L) vitamin-D. Results There were 646 SARS-COV-2 PCR positive hospitalisations and 165 (25.5%) had plasma vitamin-D levels. Fifty patients were admitted to ICU. There was no difference in vitamin-D levels of those hospitalised (34, IQR 18.5–66 nmol/L) and those admitted to the ICU (31.5, IQR 21–42 nmol/L). Higher proportion of vitamin-D deficiency (<50 nmol/L) noted in the ICU group (82.0 vs. 65.2%). Among the ICU patients, low vitamin D level (<50 nmol/L) was associated with younger age (57 vs. 67 years, p=0.04) and lower Cycle Threshold (CT) real time polymerase chain reaction values (RT-PCR) (26.96 vs. 33.6, p=0.02) analogous to higher viral loads. However, there were no significant differences in ICU clinical outcomes (invasive and non-invasive mechanical ventilation, acute kidney injury and mechanical ventilation and hospital days) between patients with low and normal vitamin-D levels. Conclusions Despite the association of low vitamin-D levels with low CT values, there is no difference in clinical outcomes in this small cohort of critically ill COVID-19 patients. The complex relationship between vitamin-D levels and COVID-19 infection needs further exploration with large scale randomized controlled trials.


Author(s):  
Reetu Verma ◽  
Rajeev Kumar Nishad ◽  
Rohit Patawa ◽  
Alok Kumar

Introduction: World Health Organisation (WHO) declared the Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) outbreak a pandemic on 11 March 2020, due to the constantly increasing number of cases outside China. Previously, India had global record of highest single day spike of Corona Virus Disease-19 (COVID-19) cases, with 97,894 cases on 17thSeptember 2020. Aim: To find out the demographic and clinical characteristics of critically ill patients of SARS-CoV-2 and comparing the outcomes of patients admitted in COVID dedicated Intensive Care Unit (ICU) with and without co-morbidities and also in different age groups and sex. Material and Methods: This retrospective study from July 2020 to December 2020 was a single centre observational experience of management of COVID-19 patients at COVID dedicated ICU in Firozabad, India. The following data were recorded: age, sex, comorbidities and mode of oxygen delivery (invasive mechanical ventilation, non-invasive mechanical ventilation, high flow nasal canula). Chi-square test was used to compare the outcomes of patients admitted in COVID dedicated ICU with and without co-morbidities and also in different age groups and sex. Results: In this study, the data of 120 severely ill COVID-19 patients were reviewed. The mean age of patients were (58±15.29) years and male to female ratio was 3:1. At least one comorbid condition was reported in 53.3% of patients-most common being Hypertension (36.6%) followed by Diabetes mellitus 2 (20%), COPD (15%). Then Cardiovascular Diseases, Renal, Liver diseases and ailments followed. All patients admitted to COVID ICU had moderate to severe Acute Respiratory Distress Syndrome (ARDS). Older age (61 years and above, mortality 17%), male sex (16.7% deaths among 90 critically ill male COVID patients) and presence of comorbid conditions appear to have higher mortality in this study. However apart from comorbid conditions (p=0.001) none was statistically significant. The overall mortality in this study of 120 critically ill COVID patients was 14.16%. Conclusion: From this study, it can be suggested that survival of critically ill COVID patients can further be improved by better management of their comorbid conditions and avoiding complications of invasive ventilation. However, further multicentric studies with large sample size are needed to confirm these findings.


Author(s):  
David J. Douin ◽  
Martin Krause ◽  
Cynthia Williams ◽  
Kenji Tanabe ◽  
Ana Fernandez-Bustamante ◽  
...  

Objective Recent clinical trials confirmed the corticosteroid dexamethasone as an effective treatment for patients with COVID-19 requiring mechanical ventilation. However, limited attention has been given to potential adverse effects of corticosteroid therapy. The objective of this study was to determine the association between corticosteroid administration and impaired glycemic control among COVID-19 patients requiring mechanical ventilation and/or veno-venous extracorporeal membrane oxygenation. Design Multicenter retrospective cohort study between March 9 and May 17, 2020. The primary outcome was days spent with at least 1 episode of blood glucose either >180 mg/dL or <80 mg/dL within the first 28 days of admission. Setting Twelve hospitals in a United States health system. Patients Adults diagnosed with COVID-19 requiring invasive mechanical ventilation and/or veno-venous extracorporeal membrane oxygenation. Interventions None. Measurements and Main Results We included 292 mechanically ventilated patients. We fitted a quantile regression model to assess the association between steroid administration ≥320 mg methylprednisolone (equivalent to 60 mg dexamethasone) and impaired glycemic control. Sixty-six patients (22.6%) died within 28 days of intensive care unit admission. Seventy-one patients (24.3%) received a cumulative dose of least 320 mg methylprednisolone equivalents. After adjustment for gender, history of diabetes mellitus, chronic liver disease, sequential organ failure assessment score on intensive care unit day 1, and length of stay, administration of ≥320 mg methylprednisolone equivalent was associated with 4 additional days spent with glucose either <80 mg/dL or >180 mg/dL (B = 4.00, 95% CI = 2.15-5.85, P < .001). Conclusions In this cohort study of 292 mechanically ventilated COVID-19 patients, we found an association between corticosteroid administration and higher incidence of both hyperglycemia and hypoglycemia.


2019 ◽  
Vol 32 (Supplement_1) ◽  
Author(s):  
S Ishaque ◽  
F Karim ◽  
S H Qazi ◽  
Q Abbas

Abstract Background Tracheostomy is one of the oldest and most commonly performed procedures among critically ill patients. The advantages of an elective tracheostomy in pediatric intensive care unit are improved patient comfort, lesser need for sedative drugs, early weaning from mechanical ventilation support eventually leading to reduced cost of care. Objective This study describes the frequency, indications, complications, and outcome of elective pediatric tracheostomies in critically ill children from a single pediatric intensive care unit of a tertiary care center. Design This is a retrospective cohort study of patients undergoing tracheostomy. Setting This is a pediatric intensive care unit (PICU) of a tertiary-care hospital. Patients All patients underwent tracheostomy in our PICU over the ten-year period. Main Results A total of 48 children underwent a tracheostomy, corresponding to a 1.5% of the total PICU admissions during the study period. 34/48 (71%) patients were male. A 25% of our patients undergoing a tracheostomy had an underlying CNS condition, followed closely by a respiratory problem (11/48 patients).The main indication for tracheostomy in children was prolonged mechanical ventilation secondary to respiratory 35/48 (73%), that included upper airway obstruction, foreign body aspiration or pneumonia and neurological or neuromuscular illness (6.3%) including traumatic brain injury, meningitis/encephalitis, Gullain Barre’ syndrome, and neurodegenerative disorders. Two patients died from tracheostomy-related complications, making it an overall mortality rate of 4%. Conclusion Tracheostomy in children is a relatively frequent procedure at our hospital. The commonest indication was prolonged mechanical ventilation. Early tracheostomy is associated with better patient outcomes in terms of morbidity and length of stay.


PLoS ONE ◽  
2021 ◽  
Vol 16 (6) ◽  
pp. e0253443
Author(s):  
Naomi George ◽  
Edward Moseley ◽  
Rene Eber ◽  
Jennifer Siu ◽  
Mathew Samuel ◽  
...  

Background Among patients with acute respiratory failure requiring prolonged mechanical ventilation, tracheostomies are typically placed after approximately 7 to 10 days. Yet half of patients admitted to the intensive care unit receiving tracheostomy will die within a year, often within three months. Existing mortality prediction models for prolonged mechanical ventilation, such as the ProVent Score, have poor sensitivity and are not applied until after 14 days of mechanical ventilation. We developed a model to predict 3-month mortality in patients requiring more than 7 days of mechanical ventilation using deep learning techniques and compared this to existing mortality models. Methods Retrospective cohort study. Setting: The Medical Information Mart for Intensive Care III Database. Patients: All adults requiring ≥ 7 days of mechanical ventilation. Measurements: A neural network model for 3-month mortality was created using process-of-care variables, including demographic, physiologic and clinical data. The area under the receiver operator curve (AUROC) was compared to the ProVent model at predicting 3 and 12-month mortality. Shapley values were used to identify the variables with the greatest contributions to the model. Results There were 4,334 encounters divided into a development cohort (n = 3467) and a testing cohort (n = 867). The final deep learning model included 250 variables and had an AUROC of 0.74 for predicting 3-month mortality at day 7 of mechanical ventilation versus 0.59 for the ProVent model. Older age and elevated Simplified Acute Physiology Score II (SAPS II) Score on intensive care unit admission had the largest contribution to predicting mortality. Discussion We developed a deep learning prediction model for 3-month mortality among patients requiring ≥ 7 days of mechanical ventilation using a neural network approach utilizing readily available clinical variables. The model outperforms the ProVent model for predicting mortality among patients requiring ≥ 7 days of mechanical ventilation. This model requires external validation.


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