Daily routine versus on-demand chest radiograph policy and practice in adult ICU patients- clinicians' perspective

Predictive Factors for Physiotherapy Session Length at an Adult Intensive Care Unit: A Longitudinal Panel Study

OBJECTIVE

To identify predictive factors for the length of physiotherapy sessions for adult intensive care unit (ICU) patients.

DESIGN

Longitudinal panel study.

SETTING

ICU of a secondary-care public teaching hospital, the University Hospital at the University of Sao Paulo, Brazil.

PARTICIPANTS

Medical and surgical patients who received physiotherapy (N=181) assessed in 339 physiotherapy sessions.

INTERVENTIONS

Not applicable.

MAIN OUTCOME MEASURES

The study investigator followed physiotherapists during their work shift and timed the physiotherapy session's length with a stopwatch. The association between session length and patient, physiotherapist, and service-related factors was evaluated by a mixed model.

RESULTS

Assessed in this study were 339 physiotherapy sessions during 79 periods of observation that involved 181 patients and 19 physiotherapists. Median session length was 29 (interquartile range: 22.6-38.9) minutes; median number of patients assisted per physiotherapist per 6-hour shift was 5 (4-5). Physiotherapist's median age was 35 (26-39) years old, and median ICU experience was 13.0 (0.4-16.0) years. Patients were mostly older adults who were post surgery and had been at the ICU for 5 (2-9) days. Factors associated with physiotherapy session length (min) were the following: performing both motor- and respiratory-related physiotherapy procedures during the session (β=6.5; 95% confidence interval [CI], 3.8-9.2), altered chest x-ray (β=2.8; 95% CI, 0.3-5.3), ICU mobility scale (IMS) (β=1.2; 95% CI, 0.4-2.0), contraindication to any level of out-of-bed mobilization (β=-6.9; 95% CI, -10.5 to -3.3), afternoon shift (β=-4.0; 95% CI, -6.7 to -1.4), and Barthel index (β=-0.2; 95% CI, -0.3 to -0.1).

CONCLUSIONS

The factors associated with longer session lengths were performing both motor- and respiratory-related physiotherapy procedures during the session, altered chest x-ray, and the IMS. Contraindication to any level of out-of-bed mobilization and sessions performed during the afternoon shift (vs the morning shift) were associated with shorter session lengths.

Point-of-Care Lung Ultrasound in the Intensive Care Unit-The Dark Side of Radiology: Where Do We Stand?

Patients in intensive care units (ICUs) are critically ill and require constant monitoring of clinical conditions. Due to the severity of the underlying disease and the need to monitor devices, imaging plays a crucial role in critically ill patients' care. Given the clinical complexity of these patients, who typically need respiratory assistance as well as continuous monitoring of vital functions and equipment, computed tomography (CT) can be regarded as the diagnostic gold standard, although it is not a bedside diagnostic technique. Despite its limitations, portable chest X-ray (CXR) is still today an essential diagnostic tool used in the ICU. Being a widely accessible imaging technique, which can be performed at the patient's bedside and at a low healthcare cost, it provides additional diagnostic support to the patient's clinical management. In recent years, the use of point-of-care lung ultrasound (LUS) in ICUs for procedure guidance, diagnosis, and screening has proliferated, and it is usually performed at the patient's bedside. This review illustrates the role of point-of-care LUS in ICUs from a purely radiological point of view as an advanced method in ICU CXR reports to improve the interpretation and monitoring of lung CXR findings.

Utility of the serial portable chest x-ray for the diagnosis and quantification of COVID-19 patients

Objective

To determine the role of the serial portable chest X-ray in the diagnosis and quantification of patients with confirmed COVID-19 admitted to a tertiary care hospital.

Methods

A retrospective study was conducted at Dow Institute of Radiology, Dow University of Health Sciences. Confirmed positive cases of COVID-19 from November 2020 to January 2021 were retrospectively studied. Patients' demographics and clinical characteristics, chest X-ray findings, and outcomes were retrieved through electronic medical records. Baseline and final follow-up chest X-rays findings were compared by using chest X-ray severity score. Multivariable logistic regression was used to evaluate the relationship between patients' characteristics and patient outcomes.

Results

The study included 329 patients with a mean age of 56.43 ± 13.10 years (range 16-85 years). Peripheral consolidation and ground glass opacities (89.4%) were the most common X-ray findings followed by bilateral lung involvement (79.0%) and perihilar consolidation/ground glass opacities (69.9%). Among the patients who were admitted, 61.4% were discharged, 49.5% had prolonged length of stay ≥10 days, and 37.7% died. After adjustment of all patients' characteristics, the multivariate model showed no significant difference in chest X-ray severity score in relation to the patient's outcome. Patients who were admitted to the intensive care unit, and received oxygen support, bilevel positive airway pressure, and a ventilator were significantly associated with the outcome of being discharged, prolonged hospital stay, and death.

Conclusion

Peripheral consolidation and ground glass opacities were the most common chest X-ray findings in admitted COVID-19 patients. No significant difference in chest X-ray severity score was noted in the primary outcome of being discharged, prolonged hospital stay, and death. There is no requirement for daily chest X-rays in hospitalized patients until required in the condition of worsening symptoms or significant intervention such as endotracheal intubation.

Artificial Intelligence for Clinical Interpretation of Bedside Chest Radiographs

Background Supine chest radiography for bedridden patients in intensive care units (ICUs) is one of the most frequently ordered imaging studies worldwide. Purpose To evaluate the diagnostic performance of a neural network-based model that is trained on structured semiquantitative radiologic reports of bedside chest radiographs. Materials and Methods For this retrospective single-center study, children and adults in the ICU of a university hospital who had been imaged using bedside chest radiography from January 2009 to December 2020 were reported by using a structured and itemized template. Ninety-eight radiologists rated the radiographs semiquantitatively for the severity of disease patterns. These data were used to train a neural network to identify cardiomegaly, pulmonary congestion, pleural effusion, pulmonary opacities, and atelectasis. A held-out internal test set (100 radiographs from 100 patients) that was assessed independently by an expert panel of six radiologists provided the ground truth. Individual assessments by each of these six radiologists, by two nonradiologist physicians in the ICU, and by the neural network were compared with the ground truth. Separately, the nonradiologist physicians assessed the images without and with preliminary readings provided by the neural network. The weighted Cohen κ coefficient was used to measure agreement between the readers and the ground truth. Results A total of 193 566 radiographs in 45 016 patients (mean age, 66 years ± 16 [SD]; 61% men) were included and divided into training (n = 122 294; 64%), validation (n = 31 243; 16%), and test (n = 40 029; 20%) sets. The neural network exhibited higher agreement with a majority vote of the expert panel (κ = 0.86) than each individual radiologist compared with the majority vote of the expert panel (κ = 0.81 to ≤0.84). When the neural network provided preliminary readings, the reports of the nonradiologist physicians improved considerably (aided vs unaided, κ = 0.87 vs 0.79, respectively; P < .001). Conclusion A neural network trained with structured semiquantitative bedside chest radiography reports allowed nonradiologist physicians improved interpretations compared with the consensus reading of expert radiologists. © RSNA, 2022 Supplemental material is available for this article. See also the editorial by Wielpütz in this issue.

Evaluation of the Daily Change in PaO2/FiO2 Ratio as a Predictor of Abnormal Chest X-rays in Intensive Care Unit Patients Post Mechanical Ventilation Weaning: A Retrospective Cohort Study

Background and Objectives: The routine daily chest X-ray (CXR) strategy is no longer recommended in intensive care unit (ICU) patients. However, it is difficult for intensivists to collectively accept the on-demand CXR strategy because of the ambiguous clinical criteria for conducting CXRs. This study evaluated the predictive value of the change in PaO₂/FiO₂ (PF ratio) for abnormal CXR findings in ICU patients after mechanical ventilation (MV). Materials and Methods: A retrospective cohort study was conducted between January 2016 and March 2021 on ICU patients with MV who had at least 48 h of MV, and stayed at least 72 h in the ICU post-MV. Routine daily CXRs and daily changes in the PF ratios were investigated during the three days post-MV. Results: The 186 patients included in the study had a median age of 77 years (interquartile range: 65–82), and 116 (62.4%) were men. One hundred and eight (58.1%) patients had abnormal CXR findings, defined as one or more abnormal CXRs among the daily CXRs during the three days post-extubation. The reintubation rate was higher in the abnormal CXR group (p = 0.01). Of the 558 CXRs (normal = 418, abnormal = 140) and PF ratios, the daily change in PF ratio had a significant predictive accuracy for abnormal CXR findings (AUROC = 0.741, p < 0.01). Conclusions: The change in PF ratio (the Youden index point: ≤−23) had a sensitivity of 65.7%, and a specificity of 79.9%. Based on these results, the daily change in the PF ratio could be utilized as a predictive indicator of abnormal CXRs in ICU patients after MV treatment.

ACR Appropriateness Criteria® Intensive Care Unit Patients

Chest radiography is the most frequent and primary imaging modality in the intensive care unit (ICU), given its portability, rapid image acquisition, and availability of immediate information on the bedside preview. Due to the severity of underlying disease and frequent need of placement of monitoring devices, ICU patients are very likely to develop complications related to underlying disease process and interventions. Portable chest radiography in the ICU is an essential tool to monitor the disease process and the complications from interventions; however, it is subject to overuse especially in stable patients. Restricting the use of chest radiographs in the ICU to only when indicated has not been shown to cause harm. The emerging role of bedside point-of-care lung ultrasound performed by the clinicians is noted in the recent literature. The bedside lung ultrasound appears promising but needs cautious evaluation in the future to determine its role in ICU patients. The American College of Radiology Appropriateness Criteria are evidence-based guidelines for specific clinical conditions that are reviewed annually by a multidisciplinary expert panel. The guideline development and revision include an extensive analysis of current medical literature from peer reviewed journals and the application of well-established methodologies (RAND/UCLA Appropriateness Method and Grading of Recommendations Assessment, Development, and Evaluation or GRADE) to rate the appropriateness of imaging and treatment procedures for specific clinical scenarios. In those instances where evidence is lacking or equivocal, expert opinion may supplement the available evidence to recommend imaging or treatment.

Prescription practice and clinical utility of chest radiographs in a pediatric intensive care unit: a prospective observational study

Background

Chest radiograph (CXR) prescribing pattern and practice vary widely among pediatric intensive care units (PICU). ‘On demand’ approach is increasingly recommended as against daily ‘routine’ CXRs; however, the real-world practice is largely unknown.

Methods

This was a prospective observational study performed in children younger than 12 years admitted to PICU of a tertiary care teaching hospital in India. Data were collected on all consecutive CXRs performed between December 2016 and April 2017. The primary outcome was to assess the factors that were associated with higher chest radiograph prescriptions in PICU. Secondary outcomes were to study the indications, association with mechanical ventilation, image quality and avoidable radiation exposure.

Results

Of 303 children admitted during the study period, 159 underwent a total of 524 CXRs in PICU. Median (IQR) age of the study cohort was 2 (0.6–5) years. More than two thirds [n = 115, 72.3%] were mechanically ventilated. Most CXRs (n = 449, 85.7%) were performed on mechanically ventilated patients, amounting to a median (IQR) of 3 (2–5) radiographs per ventilated patient. With increasing duration of ventilation, the number of CXRs proportionately increased in the first two weeks of mechanical ventilation. In non-ventilated children, about two thirds (68%) underwent only one CXR. Majority of the prescriptions were on demand (n = 461, 88%). Most common indications were peri-procedure prescriptions (37%) followed by evaluation for respiratory disease status (24%). About 40% CXRs resulted in interventions; adjustment in ventilator settings (13.5%) was the most frequent intervention. In 26% (n = 138) of radiographs, image quality required improvement. One or more additional body part exposure other than chest and upper abdomen were noted 336 (64%) images. Children with > 3 CXR had higher PRISM III score, more often mechanically ventilated, had higher number of indwelling devices [mean (SD) 2.6 (1.2) vs. 1.7 (1.0)] and stayed longer in PICU [median (IQR) 11(7.5–18.5) vs. 6 (3–9)].

Conclusion

On demand prescription was the prevalent practice in our PICU. Most non-ventilated children underwent only one CXR while duration of PICU stay and the number of devices determined the number of CXRs in mechanically ventilated children. Quality improvement strategies should concentrate on the process of acquisition of images and limiting the radiation exposure to unwanted body parts.

Impact of industry 4.0 to create advancements in orthopaedics

Scientists and health professional are focusing on improving the medical sciences for the betterment of patients. The fourth industrial revolution, which is commonly known as Industry 4.0, is a significant advancement in the field of engineering. Industry 4.0 is opening a new opportunity for digital manufacturing with greater flexibility and operational performance. This development is also going to have a positive impact in the field of orthopaedics. The purpose of this paper is to present various advancements in orthopaedics by the implementation of Industry 4.0. To undertake this study, we have studied the available literature extensively on Industry 4.0, technologies of Industry 4.0 and their role in orthopaedics. Paper briefly explains about Industry 4.0, identifies and discusses the major technologies of Industry 4.0, which will support development in orthopaedics. Finally, from the available literature, the paper identifies twelve significant advancements of Industry 4.0 in orthopaedics. Industry 4.0 uses various types of digital manufacturing and information technologies to create orthopaedics implants, patient-specific tools, devices and innovative way of treatment. This revolution is to be useful to perform better spinal surgery, knee and hip replacement, and invasive surgeries.