Breathing motion compensation in chest tomosynthesis: evaluation of the effect on image quality and presence of artifacts.

Purpose: Chest tomosynthesis (CTS) has a relatively longer acquisition time compared with chest X-ray, which may increase the risk of motion artifacts in the reconstructed images. Motion artifacts induced by breathing motion adversely impact the image quality. This study aims to reduce these artifacts by excluding projection images identified with breathing motion prior to the reconstruction of section images and to assess if motion compensation improves overall image quality. Approach: In this study, 2969 CTS examinations were analyzed to identify examinations where breathing motion has occurred using a method based on localizing the diaphragm border in each of the projection images. A trajectory over diaphragm positions was estimated from a second-order polynomial curve fit, and projection images where the diaphragm border deviated from the trajectory were removed before reconstruction. The image quality between motion-compensated and uncompensated examinations was evaluated using the image quality criteria for anatomical structures and image artifacts in a visual grading characteristic (VGC) study. The resulting rating data were statistically analyzed using the software VGC analyzer. Results: A total of 58 examinations were included in this study with breathing motion occurring either at the beginning or end ( n = 17 ) or throughout the entire acquisition ( n = 41 ). In general, no significant difference in image quality or presence of motion artifacts was shown between the motion-compensated and uncompensated examinations. However, motion compensation significantly improved the image quality and reduced the motion artifacts in cases where motion occurred at the beginning or end. In examinations where motion occurred throughout the acquisition, motion compensation led to a significant increase in ripple artifacts and noise. Conclusions: Compensation for respiratory motion in CTS by excluding projection images may improve the image quality if the motion occurs mainly at the beginning or end of the examination. However, the disadvantages of excluding projections may outweigh the benefits of motion compensation.

Use of continuous positive airway pressure in drainage of pleural effusion: Educational intervention for evidence-based practice.

OBJECTIVE: To create an educational intervention for health professionals and test its effectiveness in implementing the use of CPAP in hospitalized patients with pleural effusion undergoing thoracic drainage. METHODS: This implementation study was developed in 5 hospitals in Brazil and one in Belgium within four phases: (I) Situational diagnosis (professionals and patients' knowledge about CPAP usage for drained pleural effusion and checking medical records for the last 6 months); (II) Education and training of professionals; (III) New situational diagnosis (equal to phase I); (IV) Follow-up for two years. RESULTS: 65 professionals, 117 patients' medical records, and 64 patients were enrolled in this study. Initially, only 72% of medical records presented a description of interventions. CPAP usage was mentioned in only one patient with a chest tube. After phase III, the number of professionals who used CPAP for their patients with drained pleural effusion increased from 28.8% to 66.7%, p < 0.001. Similarly, the acceptability of this therapy for this clinical situation also increased among professionals from 6.4 ± 1.3 to 7.8 ± 1.4, p < 0.001. However, before the implementation, only one medical record described the use of CPAP in one patient with drained pleural effusion. After two years, the use of CPAP therapy by healthcare professionals for patients with drained thoracic drainage was sustained in 3 hospitals. CONCLUSIONS: The educational intervention for the use of CPAP in patients with drained pleural effusion was effective for health professionals. Results were sustained after two years in three of the six hospitals.

Spontaneous Chest Wall Hernias: Intercostal Lung Hernia and Inverted Intercostal Hernia.

Intercostal lung hernia and inverted intercostal hernia are rare chest wall hernias usually asymptomatic and detected incidentally on chest radiograph. In this case report, we discussed here on the chest radiograph and computed tomography imaging findings of two cases of these rare hernias with an emphasis being in differential diagnosis of chest tumors.

Explainable artificial intelligence in deep learning-based detection of aortic elongation on chest X-ray images.

Aims: Aortic elongation can result from age-related changes, congenital factors, aneurysms, or conditions affecting blood vessel elasticity. It is associated with cardiovascular diseases and severe complications like aortic aneurysms and dissection. We assess qualitatively and quantitatively explainable methods to understand the decisions of a deep learning model for detecting aortic elongation using chest X-ray (CXR) images. Methods and results: In this study, we evaluated the performance of deep learning models (DenseNet and EfficientNet) for detecting aortic elongation using transfer learning and fine-tuning techniques with CXR images as input. EfficientNet achieved higher accuracy (86.7% ± 2.1), precision (82.7% ± 2.7), specificity (89.4% ± 1.7), F1 score (82.5% ± 2.9), and area under the receiver operating characteristic (92.7% ± 0.6) but lower sensitivity (82.3% ± 3.2) compared with DenseNet. To gain insights into the decision-making process of these models, we employed gradient-weighted class activation mapping and local interpretable model-agnostic explanations explainability methods, which enabled us to identify the expected location of aortic elongation in CXR images. Additionally, we used the pixel-flipping method to quantitatively assess the model interpretations, providing valuable insights into model behaviour. Conclusion: Our study presents a comprehensive strategy for analysing CXR images by integrating aortic elongation detection models with explainable artificial intelligence techniques. By enhancing the interpretability and understanding of the models' decisions, this approach holds promise for aiding clinicians in timely and accurate diagnosis, potentially improving patient outcomes in clinical practice.

Performance of Machine Learning Algorithms in Predicting Prolonged Mechanical Ventilation in Patients with Blunt Chest Trauma.

Purpose: Mechanical ventilation (MV) is one of the most common treatments for patients with blunt chest trauma (BCT) admitted to the intensive care unit (ICU). Our study aimed to investigate the performance of machine learning algorithms in predicting the prolonged duration of mechanical ventilation (PDMV) in patients with BCT. Methods: In this single-center observational study, patients with BCT who were treated with MV through nasal or oral intubation were selected. PDMV was defined as the duration of mechanical ventilation ≥7 days after endotracheal intubation (normal vs prolonged MV; dichotomous outcomes). K-means was used to cluster data from the original cohort by an unsupervised learning method. Multiple machine learning algorithms were used to predict DMV categories. The most significant predictors were identified by feature importance analysis. Finally, a decision tree based on the chi-square automatic interaction detection (CHAID) algorithm was developed to study the cutoff points of predictors in clinical decision-making. Results: A total of 426 patients and 35 characteristics were included. K-means clustering divided the cohort into two clusters (high risk and low risk). The area under the curve (AUC) of the DMV classification algorithms ranged from 0.753 to 0.923. The importance analysis showed that the volume of pulmonary contusion (VPC) was the most important feature to predict DMV. The prediction accuracy of the decision tree based on CHAID reached 86.4%. Conclusion: Machine learning algorithms can predict PDMV in patients with BCT. Therefore, limited medical resources can be more appropriately allocated to BCT patients at risk for PDMV.

Re-expansion pulmonary edema and atelectasis due to mucus plug following chest tube placement for pneumothorax.

Re-expansion pulmonary edema (REPE) and mucus plug-induced atelectasis are potential complications that clinicians should be aware of following chest tube placement for pneumothorax.

Evaluating Lung Changes in Long COVID: Ultra-Low-Dose vs. Standard-Dose CT Chest.

Background: Frequent chest CTs within a short period during follow-up of long COVID patients may increase the risk of radiation-related health effects in the exposed individuals. We aimed to assess the image quality and diagnostic accuracy of ultra-low-dose CT (ULDCT) chest compared to standard-dose CT (SDCT) in detecting lung abnormalities associated with long COVID. Methods: In this prospective study, 100 long COVID patients with respiratory dysfunction underwent SDCT and ULDCT chest that were compared in terms of objective (signal-to-noise ratio, SNR) and subjective image quality (image graininess, sharpness, artifacts, and diagnostic accuracy along with the European guidelines on image quality criteria for CT chest), detection of imaging patterns of long COVID, CT severity score, and effective radiation dose. Additionally, the diagnostic performance of ULDCT was compared among obese (BMI≥30 kg/m2) and non-obese (BMI<30 kg/m2) subjects. Results: The mean age of study participants was 53 ± 12.9 years, and 68% were male. The mean SNR was 31.4 ± 5.5 and 11.3 ± 4.6 for SDCT and ULDCT respectively (p< 0.0001). Common findings seen on SDCT included ground-glass opacities (GGOs, 77%), septal thickening/reticulations (67%), atelectatic/parenchymal bands (63%) and nodules (26%). ULDCT provided sharp images, with no/minimal graininess, and high diagnostic confidence in 81%, 82% and 80% of the cases respectively. The sensitivity of ULDCT for various patterns of long COVID was 72.7% (GGOs), 71.6% (interlobular septal thickening/reticulations), 100% (consolidation), 81% (atelectatic/parenchymal bands) and 76.9% (nodules). ULDCT scans in non-obese subjects exhibited a significantly higher sensitivity (88% vs. 60.3%, p < 0.0001) and diagnostic accuracy (97.7% vs. 84.9%, p < 0.0001) compared to obese subjects. ULDCT showed very strong correlation with SDCT in terms of CT severity score (r = 0.996, p < 0.0001). The mean effective radiation dose with ULDCT was 0.25 ± 0.02 mSv with net radiation dose reduction of 94.8% ± 1.7% (p < 0.0001) when compared to SDCT (5.5 ± 1.96 mSv). Conclusion: ULDCT scans achieved comparable diagnostic accuracy to SDCT for detecting long COVID lung abnormalities in non-obese patients, while significantly reducing radiation exposure.

Chest X-Ray Comparison Between Drug-Resistant and Drug-Sensitive Pulmonary Tuberculosis in Children.

INTRODUCTION: Chest X-ray (CXR) remains one of the tools used in diagnosing tuberculosis (TB). However, few studies about such tools exist, specifically in children in Indonesia. We aim to investigate and compare the CXR findings of children with pulmonary drug-resistant TB (DR-TB) and drug-sensitive TB (DS-TB) that could help in the evaluation and management of TB cases in children. METHODS: Retrospective analysis with cross-sectional approach was conducted in children (<18 years old) diagnosed with pulmonary DR-TB and DS-TB from January 2018 to December 2021. Documented data were collected from the Paediatric Respirology Registry and Tuberculosis Information System at Dr. Hasan Sadikin General Hospital Bandung. Characteristics of children, CXR findings, and TB severity were assessed and compared using the chi-square and Fisher's exact tests with significance levels set at p value <0.05. RESULTS: Sixty-nine children (DR-TB 31 children vs. DS-TB 38 children) were assessed. Of the 31 children with DR-TB, 65% were classified as multidrug-resistant TB (MDR-TB), followed by rifampicin-resistant TB (RR-TB), pre-extensively drug-resistant TB (pre-XDR-TB), and extensively drug-resistant TB (XDR-TB). The most common CXR findings in DR-TB are consolidation (68%), fibrosis (42%), and cavity (29%), whereas in DS-TB, it is pleura effusion (37%). Severe TB accounts for 50% of DR-TB (p = 0.008). CONCLUSIONS: Consolidation, fibrosis, cavities, and findings of severe TB are most common in DR-TB. Pleural effusion is the most common in DS-TB. These findings have the potential to be considered in further examination of children with pulmonary DR-TB and DS-TB; hence, more extensive studies are needed to confirm these results.

Impact of Long-Term Non-Communicable Diseases on SARS-COV-2 Hospitalized Patients Supported by Radiological Imaging in Southern Pakistan.

COVID-19 patients with already existing chronic medical conditions are more likely to develop severe complications and, ultimately, a higher risk of mortality. This study analyzes the impacts of pre-existing chronic illnesses such as diabetes (DM), hypertension, and cardiovascular diseases (CVDs) on COVID-19 cases by using radiological chest imaging. The data of laboratory-confirmed COVID-19-infected hospitalized patients were analyzed from March 2020 to December 2020. Chest X-ray images were included to further identify the differences in X-ray patterns of patients with co-morbid conditions and without any co-morbidity. The Pearson chi-square test checks the significance of the association between co-morbidities and mortality. The magnitude and dimension of the association were calibrated by the odds ratio (OR) at a 95% confidence interval (95% CI) over the patients' status (mortality and discharged cases). A univariate binary logistic regression model was applied to examine the impact of co-morbidities on death cases independently. A multivariate binary logistic regression model was applied for the adjusted effects of possible confounders. For the sensitivity analysis of the model, receiver operating characteristic (ROC) was applied. Patients with different comorbidities, including diabetes (OR = 33.4, 95% CI: 20.31-54.78, p < 0.001), cardiovascular conditions (OR = 24.14, 95% CI: 10.18-57.73, p < 0.001), and hypertension (OR = 16.9, 95% CI: 10.20-27.33, p < 0.001), showed strong and significant associations. The opacities present in various zones of the lungs clearly show that COVID-19 patients with chronic illnesses such as diabetes, hypertension, cardiovascular disease, and obesity experience significantly worse outcomes, as evidenced by chest X-rays showing increased pneumonia and deterioration. Therefore, stringent precautions and a global public health campaign are crucial to reducing mortality in these high-risk groups.

Utility of bone suppression imaging for the detection of pneumonia on chest radiographs.

INTRODUCTION: Chest X-rays (CXR) are routinely used to diagnose lung and heart conditions. AI based Bone suppression imaging (BSI) aims to enhance accuracy in identifying chest anomalies by eliminating bony structures such as the ribs, clavicles, and scapula from CXRs. The aim of this retrospective study was to assess the clinical value of BSI in detecting pneumonia. METHODS: Ninety-nine emergency patients with suspected pneumonia underwent erect postero-anterior CXRs. The BSI processing system was used to generate corresponding bone-suppressed images for the 99 radiographs. Each patient had undergone a computed tomography (CT) examination within 48 h, considered the standard of reference. Two blinded readers separately analyzed images, indicating confidence levels regarding signs of pneumonia for each lung separated in three fields, first with standard images, then with BSI. Sensitivity, specificity, predictive values, and readers' certitude were calculated, and inter-reader agreement was evaluated with the kappa statistic. RESULTS: Out of the 99 included cases, 39 cases of pneumonia were diagnosed (39.4%). Of the remaining 60 patients, 14 presented only pleural effusions (14.1%). BSI images led to a significant increase in false positives (+251%) and significantly affected one reader's diagnosis and certitude, decreasing accuracy (up to 17%) and specificity (up to 14%). Sensitivity increased by 66% with BSI. Inter-reader agreement ranged from weak to moderate (0.113-0.53) and did not improve with BSI. For both readers, BSI images were read with significantly lesser certitude than standard images. CONCLUSION: BSI did not add clinical value in pneumonia detection on CXR due to a significant increase in false positive results and a decrease one readers' certitude. IMPLICATION FOR PRACTICE: The study emphasizes the importance of proper clinical training before implementing new post-processing and artificial intelligence (AI) tools in clinical practice.

Chest wall muscle area, ventilatory efficiency and exercise capacity in systemic sclerosis.

To investigate the potential contribution of chest wall muscle area (CWMA) to the ventilatory efficiency and exercise capacity in patients with Systemic Sclerosis (SSc) without interstitial lung disease (ILD). Forty-four consecutive SSc patients [F = 37, median age 53.5 years (IQR 43.5-58)] were examined using chest high-resolution computed tomography (HRCT), pulmonary function tests and cardiopulmonary exercise testing (CPET). The CWMA was evaluated at the level of the ninth thoracic vertebra on CT images by two independent evaluators blinded to the patient information. CPET parameters analyzed were maximum oxygen uptake (VO2 max) and VO2 at anaerobic threshold (VO2@AT); minute ventilation (VE); maximum tidal volume (VT). A statistically significant positive correlation was found between CWMA and maximum workload (r = 0.470, p < 0.01), VO2 max ml/min (r = 0.380, p < 0.01), VO2@AT (r = 0.343, p < 0.05), VE (r = 0.308, p < 0.05), VT (r = 0.410, p < 0.01) and VO2/heart rate (r = 0.399, p < 0.01). In multiple regression analysis, VO2 max (ml/min) was significantly associated with CWMA [ß coefficient = 5.226 (95% CI 2.824, 7.628); p < 0.001], diffusing capacity for carbon monoxide (DLco) [ß coefficient = 6.749 (95% CI 1.460, 12.039); p < 0.05] and body mass index (BMI) [ß coefficient = 41.481 (95% CI 8.802, 74.161); p < 0.05]. In multiple regression analysis, maximum workload was significantly associated with CWMA [ß coefficient = 0.490 (95% CI 0.289, 0.691); p < 0.001], DLco [ß coefficient = 0.645 (95% CI 0.202, 1.088); p < 0.01] and BMI [ß coefficient = 3.747 (95% CI 1.013, 6.842); p < 0.01]. In SSc-patients without ILD, CWMA represents an important variable in exercise capacity and can be evaluated by the mediastinal window available in the HRCT images required for lung disease staging.

Nebulized inhalation of plasma-activated water in the treatment of progressive moderate COVID-19 patients with antiviral treatment failure: a randomized controlled pilot trial.

BACKGROUND: Antiviral drugs show significant efficacy in non-severe COVID-19 cases, yet there remains a subset of moderate COVID-19 patients whose pneumonia continues to progress post a complete course of treatment. Plasma-activated water (PAW) possesses anti-SARS-CoV-2 properties. To explore the potential of PAW in improving pneumonia in COVID-19 patients following antiviral treatment failure, we conducted this study. METHODS: This was a randomized, controlled trial. Moderate COVID-19 patients with antiviral treatment failure were randomly assigned to the experimental group or the control group. They inhaled nebulized PAW or saline respectively. This was done twice daily for four consecutive days. We assessed improvement in chest CT on day 5, the rate of symptom resolution within 10 days, and safety. RESULTS: A total of 23 participants were included, with 11 receiving PAW and 12 receiving saline. The baseline characteristics of both groups were comparable. The experimental group showed a higher improvement rate in chest CT on day 5 (81.8% vs. 33.3%, p = 0.036). The cumulative disappearance rate of cough within 10 days was higher in the experimental group. Within 28 days, 4 patients in each group progressed to severe illness, and no patients died. No adverse reactions were reported from inhaling nebulized PAW. CONCLUSION: This pilot trial preliminarily confirmed that nebulized inhalation of PAW can alleviate pneumonia in moderate COVID-19 patients with antiviral treatment failure, with no adverse reactions observed. This still needs to be verified by large-scale studies. TRIAL REGISTRATION: Chinese Clinical Trial Registry; No.: ChiCTR2300078706 (retrospectively registered, 12/15/2023); URL: www.chictr.org.cn .

Chest tube size selection for pleural effusion: from the perspective of thoracic surgeons and pulmonologists.

BACKGROUND: The current discourse within the thoracic surgical and pulmonological communities pertains to a contentious debate over the optimal selection criteria for thoracostomy tube diameters utilized in the management of pleural effusions. A comprehensive examination of the variables that inform the clinical decision-making paradigm for the determination of appropriate chest tube calibers is imperative to enhance patient management and elevate the prognostic results. OBJECTIVES: The objective of this inquiry is to elucidate the determinants that influence thoracic surgeons and pulmonologists in their selection of chest tube size for the management of pleural effusions. METHODS: This cross-sectional study was based on an electronic questionnaire that was sent to the targeted populations through e-mail or a professional WhatsApp. The survey assessed the considerations of chest tube size selection as well as the respective advantages, disadvantages, and potential complications related to each size. RESULTS: The conducted study encompassed participants, with a nearly even distribution between thoracic surgeons (49.1%) and pulmonologists (50.9%). Most of these practitioners are within tertiary-level medical institutions (82.1%). A preference for small-bore chest tubes (SBCT), defined as < 14 French (Fr), was indicated by 54.8% of participants. The drawbacks associated with SBCT, such as kinking (60%) and blockage (70%), influenced the decision-making process negatively, while pain was a significant factor in the selection against LBCT (64%). Ultrasound guidance was a positive influence for the selection of SBCT (55%). Complications associated with LBCT included visceral and vascular injuries (55.7%), wound infection (45.3%), re-expansion pulmonary edema (43.3%), and subcutaneous emphysema (57.5%). In contrast, malposition was a complication more commonly associated with SBCT (49.1%). CONCLUSION: The decision regarding chest tube size was influenced by several critical factors which included the nature of pleural effusion, the volume of pleural fluid, and potential complications specific to the size of the chest tube used.

Beware of the Iceberg Phenomenon: A Case Report of Chest Wall Fibrous Dysplasia.

Thoracic fibrous dysplasia (FD) is a benign, osseous chest wall tumor. It originates from bone marrow and accounts for 30-50% of all benign osseous neoplasms in the chest wall. In FD, normal bone marrow is replaced by fibrous stroma and immature bone. We present a rare case in which massive intrathoracic polyostotic FD originating from the rib was diagnosed and treated. The extrathoracic part of the tumor appeared stable and unalarming for decades; however, in hindsight, the intrathoracic part significantly progressed, eventually leading to symptoms. The tumor was removed through a hemi-clamshell approach, which allowed adequate visualization and control of mediastinal structures. After establishing the diagnosis of FD, regular follow-up imaging is crucial for timing of a surgical intervention to prevent symptoms, impairment of quality of life, and unnecessarily complex resections.

Takotsubo Cardiomyopathy in the Absence of an Identifiable Emotional Stressor.

This is a case presentation of a 61-year-old female with a history of long-term asymptomatic left bundle branch block and recurrent nephrolithiasis who presented to the emergency department with chest pain that radiated to the left shoulder and jaw, nausea, vomiting, and generalized weakness. On admission, the electrocardiogram showed prolonged QRS complex, significant T-wave inversions in leads V2-V4, and left bundle branch block. Troponin I serum levels were found to be markedly elevated. The echocardiogram demonstrated left ventricular hypokinesis. The patient was admitted for treatment of non-ST-elevation myocardial infarction and was placed on a heparin drip with daily aspirin and high-intensity statin. Cardiac catheterization showed angiographically normal coronary arteries with no signs of obstruction or stenosis. Upon questioning, the patient did not endorse any recent emotionally or physically triggering incidents. Despite the lack of an identifiable emotional stressor, the patient met the diagnostic criteria for takotsubo cardiomyopathy (TTC) and was subsequently placed on evidence-based medical therapy. While most individuals with TTC will fully recover their cardiac function with proper treatment, a subset of patients may continue to have symptoms of persistent heart failure following their initial diagnosis. The pathophysiology of TTC is still not well understood. While the leading theory describes a catecholamine surge secondary to an emotionally or physically triggering event causing myocardial injury and subsequent temporary cardiac dysfunction, further research must be done to understand the underlying pathophysiology of this condition fully.

Unilateral Unusual Post-traumatic Breast Pain and Swelling in a Young Adult: A Case of Tuberculous Empyema Necessitans.

Empyema necessitans is a very rare and morbid complication of pleural empyema. It is defined as the extension of pleural infection to the chest wall and surrounding soft tissues. Our case highlights an unusual presentation of empyema necessitans in a 29-year-old man. The patient had no prior comorbidities and presented to the emergency department with a 15-day history of growing left unilateral chest pain and swelling. This was initially clinically misdiagnosed as a post-traumatic hematoma. Contrast-enhanced chest CT scan allowed a diagnosis and the ruling out of the main differentials, such as skeletal lesions extending to adjacent structures but also benign and malignant soft tissue masses. The treatment involved surgical drainage of the abscess. Microbiological analysis of the abscess content identified Mycobacterium tuberculosis as the causative pathogen. The patient was subsequently treated with antituberculous drugs, leading to a favorable clinical outcome. This case outlines the importance of an enhanced chest CT scan in making an early diagnosis, defining the extent of the disease, and discussing differentials, all of which are paramount to better results with fewer complications. Moreover, it highlights the fact that blunt trauma may facilitate the formation of a fistula when an underlying infection is present.

The Macklin Effect: An Underestimated Cause of Pneumomediastinum.

The Macklin effect is a rare but potentially serious complication of pneumomediastinum, caused by the dissemination of air from the lungs into the subcutaneous tissue and mediastinum after severe chest trauma or invasive manipulation. Early recognition is crucial for proper management of the patient. A 33-year-old male skidded while riding a motorcycle, lost control of the vehicle, and crashed into a utility pole with a thoracic contusion. He was admitted to the hospital; a computed tomography (CT) of the chest and abdomen was requested, which ruled out the presence of fractures and showed air in the mediastinum and subcutaneous cellular tissue, with features suggestive of the Macklin phenomenon. After 72 hours of inpatient monitoring, the patient was discharged to the general surgery outpatient clinic. The Macklin phenomenon occurs as a result of airway rupture due to negative pressure caused by trauma or invasive mechanical ventilation. Risk factors include a higher prevalence in young males, a slender stature and above-average height, and an age range of 12 to 35 years. Early detection of the Macklin phenomenon is crucial to recognize and prevent further complications. This case demonstrated the importance of considering the Macklin effect as a cause of pneumomediastinum in patients with severe chest trauma. Diagnostic imaging plays a key role in confirming the diagnosis and planning treatment.

Sex differences in the association between chest computed tomography-defined sarcopenia and cardiovascular risk factors among inpatients.

Background: While sarcopenia has been found to be associated with increased risks of cardiovascular diseases (CVDs), evidence exploring sex-related differences remains insufficient. This study aimed to investigate the differences in how often sarcopenia occurs in each sex, as determined by skeletal muscle area (SMA) in chest CT images, and its association with CVD common risk factors. Methods: This cross-sectional study involved 1,340 inpatients from the Department of Geriatrics of Renji Hospital, affiliated to Shanghai Jiaotong University School of Medicine. Data on age, sex, body mass index (BMI), smoking status, disease history, and clinical parameters were collected. Sarcopenia was defined using chest CT images with a cut-off value of T12-SMA/height2 <25.75 cm2/m2 in male patients and <20.16 cm2/m2 in female patients. Cardiovascular risk was assessed using the Framingham risk score (FRS). The association between T12-SMA/height2-defined sarcopenia and CVD risk factors by sex was evaluated using a multivariate logistic regression analysis. Results: The overall prevalence of T12-SMA/height2-defined sarcopenia (<25.75 cm2/m2 for male patients, <20.16 cm2/m2 for female patients) was 54.03%, with 48.09% in male patients and 63.19% in female patients. The proportion of male patients with high CVD risk was greater than that of female patients. The multivariate analysis revealed that T12-SMA/height2-defined sarcopenia was independently associated with age (in male patients only), systolic blood pressure (SBP), cholesterol, and high-density lipoprotein cholesterol (HDL-C) among the six FRS cardiovascular risk indices. Conclusion: Our results suggest that T12-SMA/height2-defined sarcopenia was more prevalent in male patients than in female patients. Sarcopenia was associated with higher levels of SBP and HDL-C and lower levels of cholesterol. Increasing age had a more significant effect on CVD risk in male patients.

Alternative techniques for cardiopulmonary resuscitation in extreme environments - A scoping review.

Background: Cardiopulmonary resuscitation (CPR) is essential for saving lives during cardiac arrest, but performing CPR in extreme environments poses unique challenges. In scenarios ranging from hypogravity or microgravity to confined spaces like aeroplanes and underwater scenarios, traditional CPR techniques may be inadequate. This scoping review aims to identify alternative chest compression techniques, synthesise current knowledge, and pinpoint research gaps in resuscitation for cardiac arrest in extreme conditions. Methods: PubMed and the Cochrane Register of Controlled Trials as well as the website of ResearchGate was searched to identify relevant literature. Studies were eligible for inclusion if they evaluated alternative chest compression techniques, including manual or mixed CPR approaches, whilst assessing feasibility and effectiveness based on compression depth, rate, and/or impact on rescuer effort. Results: The database search yielded 9499 references. After screening 26 studies covering 6 different extreme environments were included (hypogravity: 2; microgravity: 9, helicopter: 1, aeroplane: 1, confined space: 11; avalanche: 2). 13 alternative chest compression techniques were identified, all of which tested using manikins to simulate cardiac arrest scenarios. Conclusion: To address the unique challenges in extreme environments, novel CPR techniques are emerging. However, evidence supporting their effectiveness remains limited.