A Scoring System Predicting the Risk for Intensive Care Unit Admission for Complications After Major Lung Resection: A Multicenter Analysis

Brunelli, Alessandro; Ferguson, Mark K.; Rocco, Gaetano; Pieretti, P.; Vigneswaran, Wickii T.; Morgan‐Hughes, Nicholas J.; Zanello, Marco; Salati, Michele

doi:10.1016/j.athoracsur.2008.03.063

Cited by 45 publications

(39 citation statements)

References 13 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Both patient factors and surgical factors are known to influence the need for ICU admission following lung resection. Patient factors include increasing age > 65 years old and poor respiratory function, including forced expiratory volume in 1s (FEV1) < 45% predicted, diffusion limitation of carbon monoxide (DLCO) < 50% predicted and medical co‐morbidities . Consistent with previous work, patients admitted to ICU for support in our study were older and had worse lung function when compared with the patients not requiring ICU admission.…”

Section: Discussionsupporting

confidence: 85%

“…Many of these complications will require management and interventions that can only be provided in an intensive care unit (ICU). Such treatments include invasive ventilation, inotropic support and renal replacement therapy (RRT) . Prolonged ICU admission may also require tracheostomy to aid weaning of patients from mechanical ventilation .…”

Section: Introductionmentioning

confidence: 99%

“…Existing studies indicate that 6.3–18.0% of patients undergoing lung resection require unplanned intensive care postoperatively, with a high in‐hospital mortality of between 16.6% and 46% . Extrapolation of these figures to UK resection rates suggests that every year, between 535 and 1530 patients may require unplanned ICU admission following surgery.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Critical care after lung resection: CALoR 1, a single‐centre pilot study

et al. 2015

View full text Add to dashboard Cite

Summary Lung resection is associated with significant perioperative morbidity, and a proportion of patients will require intensive care following surgery. We set out to characterise this population, assess their burden of disease and investigate the influence of anaesthetic and surgical techniques on their admission rate. Over a two‐year period, 1169 patients underwent surgery, with 30 patients (2.6%) requiring unplanned intensive care. Patients requiring support had a higher mortality (0.2% vs 26.7%, p < 0.001). Logistic regression (following adjustment for Thoracoscore) revealed that an open surgical approach was associated with higher likelihood of admission (p = 0.025, odds ratio = 5.25). There was also a trend towards increased likelihood of admission in patients who received volatile anaesthesia (p = 0.061, odds ratio = 2.08). This topic has been selected for further investigation as part of the 2015 Association of Cardiothoracic Anaesthetists (ACTA) second national collaborative audit, with this study providing pilot data before a multi‐centre study.

show abstract

Section: Discussionsupporting

confidence: 85%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Critical care after lung resection: CALoR 1, a single‐centre pilot study

et al. 2015

View full text Add to dashboard Cite

show abstract

“…There are many others studies like the previous ones [23][24][25][26] using statistical analysis. From the studies found there is only one that allows predictions of readmissions in the ICU using Data mining techniques.…”

Section: Related Workmentioning

confidence: 99%

Patients’ Admissions in Intensive Care Units: A Clustering Overview

et al. 2017

View full text Add to dashboard Cite

Abstract:Intensive care is a critical area of medicine having a multidisciplinary nature requiring all types of healthcare professionals. Given the critical environment of intensive care units (ICUs), the need to use information technologies, like decision support systems, to improve healthcare services and ICU management is evident. It is proven that unplanned and prolonged admission to the ICU is not only prejudicial to a patient's health, but also such a situation implies a readjustment of ICU resources, including beds, doctors, nurses, financial resources, among others. By discovering the common characteristics of the admitted patients, it is possible to improve these outcomes. In this study clustering techniques were applied to data collected from admitted patients in an intensive care unit. The best results presented a silhouette of 1, with a distance to centroids of 6.2 × 10 −17 and a Davies-Bouldin index of −0.652.

show abstract

“…Brunelli et al [3], in a multicenter investigation looking at validating a risk score capable of predicting the need for ICU admission after major lung resection, demonstrated that the highest predictive variables were: pneumonectomy, age older than 65, predicted postoperative forced expiratory volume in 1 second below 65%, predicted postoperative carbon monoxide lung diffusion capacity below 50%, and cardiac comorbidity. ICU admission is mostly required to continue postoperative ventilatory assistance in a patient who is not suitable for early weaning from mechanical ventilation, or to implement a more invasive monitoring in case of hemodynamic or metabolic disturbances.…”

Section: Intensive Care Unit (Icu) Admission After Thoracic Surgerymentioning

confidence: 99%