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Timing of Tracheostomy for Prolonged Respiratory Wean in Critically Ill Coronavirus Disease 2019 Patients: A Machine Learning Approach.
Takhar, Arunjit; Surda, Pavol; Ahmad, Imran; Amin, Nikul; Arora, Asit; Camporota, Luigi; Denniston, Poppy; El-Boghdadly, Kariem; Kvassay, Miroslav; Macekova, Denisa; Munk, Michal; Ranford, David; Rabcan, Jan; Tornari, Chysostomos; Wyncoll, Duncan; Zaitseva, Elena; Hart, Nicholas; Tricklebank, Stephen.
  • Takhar A; Department of Otolaryngology and Head and Neck Surgery, Guy's & St Thomas' NHS Foundation Trust, London, United Kingdom.
  • Surda P; Department of Otolaryngology and Head and Neck Surgery, Guy's & St Thomas' NHS Foundation Trust, London, United Kingdom.
  • Ahmad I; Department of Anaesthesia, Guy's & St Thomas' NHS Foundation Trust, London, United Kingdom.
  • Amin N; Kings College London, United Kingdom.
  • Arora A; Department of Otolaryngology and Head and Neck Surgery, Guy's & St Thomas' NHS Foundation Trust, London, United Kingdom.
  • Camporota L; Department of Otolaryngology and Head and Neck Surgery, Guy's & St Thomas' NHS Foundation Trust, London, United Kingdom.
  • Denniston P; Department of Critical Care, Guy's & St Thomas' NHS Foundation Trust, London, United Kingdom.
  • El-Boghdadly K; Department of Respiratory Medicine, Guy's & St Thomas' NHS Foundation Trust, London, United Kingdom.
  • Kvassay M; Department of Anaesthesia, Guy's & St Thomas' NHS Foundation Trust, London, United Kingdom.
  • Macekova D; Kings College London, United Kingdom.
  • Munk M; Department of Informatics, Faculty of Management Science and Informatics, University of Zilina, Zilina, Slovakia.
  • Ranford D; Department of Informatics, Faculty of Management Science and Informatics, University of Zilina, Zilina, Slovakia.
  • Rabcan J; Department of Informatics, Constantine the Philosopher University, Nitra, Slovakia.
  • Tornari C; Department of Critical Care, Guy's & St Thomas' NHS Foundation Trust, London, United Kingdom.
  • Wyncoll D; Department of Informatics, Faculty of Management Science and Informatics, University of Zilina, Zilina, Slovakia.
  • Zaitseva E; Department of Otolaryngology and Head and Neck Surgery, Guy's & St Thomas' NHS Foundation Trust, London, United Kingdom.
  • Hart N; Department of Critical Care, Guy's & St Thomas' NHS Foundation Trust, London, United Kingdom.
  • Tricklebank S; Department of Informatics, Constantine the Philosopher University, Nitra, Slovakia.
Crit Care Explor ; 2(11): e0279, 2020 Nov.
Article in English | MEDLINE | ID: covidwho-939582
ABSTRACT

OBJECTIVES:

To propose the optimal timing to consider tracheostomy insertion for weaning of mechanically ventilated patients recovering from coronavirus disease 2019 pneumonia. We investigated the relationship between duration of mechanical ventilation prior to tracheostomy insertion and in-hospital mortality. In addition, we present a machine learning approach to facilitate decision-making.

DESIGN:

Prospective cohort study.

SETTING:

Guy's & St Thomas' Hospital, London, United Kingdom. PATIENTS Consecutive patients admitted with acute respiratory failure secondary to coronavirus disease 2019 requiring mechanical ventilation between March 3, 2020, and May 5, 2020.

INTERVENTIONS:

Baseline characteristics and temporal trends in markers of disease severity were prospectively recorded. Tracheostomy was performed for anticipated prolonged ventilatory wean when levels of respiratory support were favorable. Decision tree was constructed using C4.5 algorithm, and its classification performance has been evaluated by a leave-one-out cross-validation technique. MEASUREMENTS AND MAIN

RESULTS:

One-hundred seventy-six patients required mechanical ventilation for acute respiratory failure, of which 87 patients (49.4%) underwent tracheostomy. We identified that optimal timing for tracheostomy insertion is between day 13 and day 17. Presence of fibrosis on CT scan (odds ratio, 13.26; 95% CI [3.61-48.91]; p ≤ 0.0001) and Pao2Fio2 ratio (odds ratio, 0.98; 95% CI [0.95-0.99]; p = 0.008) were independently associated with tracheostomy insertion. Cox multiple regression analysis showed that chronic obstructive pulmonary disease (hazard ratio, 6.56; 95% CI [1.04-41.59]; p = 0.046), ischemic heart disease (hazard ratio, 4.62; 95% CI [1.19-17.87]; p = 0.027), positive end-expiratory pressure (hazard ratio, 1.26; 95% CI [1.02-1.57]; p = 0.034), Pao2Fio2 ratio (hazard ratio, 0.98; 95% CI [0.97-0.99]; p = 0.003), and C-reactive protein (hazard ratio, 1.01; 95% CI [1-1.01]; p = 0.005) were independent late predictors of in-hospital mortality.

CONCLUSIONS:

We propose that the optimal window for consideration of tracheostomy for ventilatory weaning is between day 13 and 17. Late predictors of mortality may serve as adverse factors when considering tracheostomy, and our decision tree provides a degree of decision support for clinicians.
Keywords

Full text: Available Collection: International databases Database: MEDLINE Type of study: Cohort study / Experimental Studies / Observational study / Prognostic study / Randomized controlled trials Language: English Journal: Crit Care Explor Year: 2020 Document Type: Article Affiliation country: CCE.0000000000000279

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Cohort study / Experimental Studies / Observational study / Prognostic study / Randomized controlled trials Language: English Journal: Crit Care Explor Year: 2020 Document Type: Article Affiliation country: CCE.0000000000000279