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Cureus May 2024Introduction The coronavirus disease 2019 (COVID-19) pandemic has impacted the lives of thousands of patients worldwide with many patients having residual symptoms...
Introduction The coronavirus disease 2019 (COVID-19) pandemic has impacted the lives of thousands of patients worldwide with many patients having residual symptoms months after the acute infection. The severity of lung involvement ranges from mild asymptomatic to severe acute respiratory distress syndrome (ARDS), which may lead to pulmonary fibrosis. Pulmonary fibrosis increases the long-term morbidity of post-COVID-19 patients in the form of restrictive lung disease. The six-minute walk test (6MWT), Borg scale, and spirometry are simple and low-cost tests used to evaluate a patient's exercise capacity and functional status. This study was conducted to assess the residual symptoms and functional status using spirometry and 6MWT in COVID-19 patients of moderate to severe category after three months of discharge. Methods This was an observational, prospective, and cross-sectional study conducted at a tertiary care center in North India, aiming to enroll a minimum of 50 patients who recovered from COVID-19 pneumonia. These patients were previously hospitalized with moderate to severe disease severity as defined by the Indian Council of Medical Research (ICMR) criteria, and the assessment occurred at least three months after their discharge. Individuals who were under 18 years of age or pregnant or had any respiratory or cardiac illness in the past were excluded from the study. Results A total of 50 patients were included in the study for final analysis. After a three-month follow-up, 40 (80%) patients were still symptomatic. The most commonly reported symptom was exertional dyspnea in 21 (42%), dyspnea at rest in 16 (32%), and fatigue in three (6%) patients. Of the total patients, 37 (74%) covered a distance less than expected in the six-minute walk test. The mean distance covered by patients was 426.1 ± 115.01 m, in contrast to the expected mean distance of 537.22 ± 37.61 m according to standard equations for Indian males and females. A fall in oxygen saturation by more than or equal to 3% was observed in approximately 24 (48%) patients after the six-minute walk test. The mean value of fatigue and dyspnea score was 3.2 ± 1.7 (moderate score). Among patients with moderate disease during their hospital stay, a higher proportion exhibited a normal pattern on pulmonary function tests (PFT) compared to those severely affected, 23 (69.70%) versus two (11.76%), respectively. Conclusion The persistence of symptoms and functional limitation of activities should be anticipated in patients with COVID-19. Spirometry and 6MWT can be a valuable tool in determining the prevalence of functional limitation in recovered patients of COVID-19. It can potentially help in determining and further planning the rehabilitative measures in the management of COVID-19 survivors. It can also be concluded that it is important to have a long-term follow-up in patients with moderate to severe COVID-19.
PubMed: 38939290
DOI: 10.7759/cureus.61221 -
Cureus May 2024Pleural effusion, characterized by the accumulation of fluid between the parietal and visceral pleura, presents significant challenges in patient management,... (Review)
Review
Pleural effusion, characterized by the accumulation of fluid between the parietal and visceral pleura, presents significant challenges in patient management, particularly in cases of malignant pleural effusion. Despite various therapeutic options, there is a need to evaluate the effectiveness of physiotherapy interventions specifically for pleural effusion patients, as current literature predominantly focuses on medical and surgical treatments. This comprehensive review aims to address this research gap by systematically analyzing the impact of physiotherapy on pleural effusion management, with a focus on symptom relief and improvement in quality of life. The objective is to determine the role of physiotherapy in reducing hospital stay and enhancing patient outcomes. Methodologically, this review synthesizes data from clinical studies and case reports that document physiotherapy interventions, such as breathing exercises, postural drainage, and mobilization techniques, in the treatment of pleural effusion. Our findings suggest that physiotherapy interventions can significantly alleviate dyspnoea and improve respiratory function, contributing to better overall patient outcomes. These results underscore the importance of incorporating physiotherapy into the standard care protocol for patients presenting with pleural effusion to optimize recovery and quality of life.
PubMed: 38939282
DOI: 10.7759/cureus.61195 -
Cureus May 2024Palmar fasciitis and polyarthritis syndrome (PFPAS) is an exceedingly rare rheumatologic condition characterized by fibrotic changes in the palmar fascia with joint...
Palmar fasciitis and polyarthritis syndrome (PFPAS) is an exceedingly rare rheumatologic condition characterized by fibrotic changes in the palmar fascia with joint pains. It is known to be associated with gynecological malignancy, especially ovarian adenocarcinoma, gastric cancer, pancreatic, prostate, breast, and lung cancer. We present a unique case of a 75-year-old Caucasian female with PFPAS preceding the diagnosis of ovarian cancer by eight months. Our case highlights the importance of considering PFPAS as a potential paraneoplastic syndrome. It underscores the need for increased awareness and further studies to enhance the early detection of underlying malignancies in patients presenting with similar nonspecific hand symptoms.
PubMed: 38939277
DOI: 10.7759/cureus.61248 -
Cureus May 2024Vasopressin infusion is commonly used in intensive care settings during states of advanced vasodilatory shock for its vasoconstrictive properties. Vasopressin also acts...
Vasopressin infusion is commonly used in intensive care settings during states of advanced vasodilatory shock for its vasoconstrictive properties. Vasopressin also acts on renal tubular cell receptors in the collecting ducts of kidneys to allow for water reabsorption. The sudden discontinuation of vasopressin infusion can lead to the development of transient diabetes insipidus (DI) with classic findings of polyuria, dilute urine, and hypernatremia. We report the case of a 59-year-old male who underwent an emergent bedside cricothyrotomy procedure secondary to papillary carcinoma of the thyroid and subsequently developed septic shock requiring initiation of vasopressin infusion for hemodynamic support. He remained on vasopressin for five days before the infusion was discontinued after clinical improvement. Within 12 hours of vasopressin discontinuation, the patient developed polyuria (> 3 L/day urine output) with volumes as high as 1 L per hour. His serum sodium levels increased more than 10 mmol/L from 137 to 149 mmol/L. This case is unique from prior reports, as our patient was without any neurological or neurosurgical comorbidities that would predispose him to an organic central cause of DI. Furthermore, the patient's large-volume diuresis and serum abnormalities spontaneously self-improved within 24 hours without significant medical intervention. In conclusion, this case adds to a growing number of reports of transient DI following vasopressin withdrawal, demonstrating the need to formally recognize this occurrence as a potential consequence of vasopressin use in intensive care settings.
PubMed: 38939271
DOI: 10.7759/cureus.61253 -
Cureus May 2024Non-small cell lung carcinoma (NSCLC) is a prevalent and aggressive form of lung cancer, with a poor prognosis for metastatic disease. Immunotherapy, particularly immune... (Review)
Review
Non-small cell lung carcinoma (NSCLC) is a prevalent and aggressive form of lung cancer, with a poor prognosis for metastatic disease. Immunotherapy, particularly immune checkpoint inhibitors (ICIs), has revolutionized the management of NSCLC, but response rates are highly variable. Identifying reliable predictive biomarkers is crucial to optimize patient selection and treatment outcomes. This systematic review aimed to evaluate the current state of artificial intelligence (AI) and machine learning (ML) applications in predicting the response to immunotherapy in NSCLC. A comprehensive literature search identified 19 studies that met the inclusion criteria. The studies employed diverse AI/ML techniques, including deep learning, artificial neural networks, support vector machines, and gradient boosting methods, applied to various data modalities such as medical imaging, genomic data, clinical variables, and immunohistochemical markers. Several studies demonstrated the ability of AI/ML models to accurately predict immunotherapy response, progression-free survival, and overall survival in NSCLC patients. However, challenges remain in data availability, quality, and interpretability of these models. Efforts have been made to develop interpretable AI/ML techniques, but further research is needed to improve transparency and explainability. Additionally, translating AI/ML models from research settings to clinical practice poses challenges related to regulatory approval, data privacy, and integration into existing healthcare systems. Nonetheless, the successful implementation of AI/ML models could enable personalized treatment strategies, improve treatment outcomes, and reduce unnecessary toxicities and healthcare costs associated with ineffective treatments.
PubMed: 38939246
DOI: 10.7759/cureus.61220 -
Cureus May 2024Pulmonary embolism (PE) is a life-threatening condition resulting from the obstruction of pulmonary arteries by blood clots, usually originating from deep veins....
Pulmonary embolism (PE) is a life-threatening condition resulting from the obstruction of pulmonary arteries by blood clots, usually originating from deep veins. Symptoms of PE might vary from nothing to sudden death. Clinically, individuals may present very differently. When a diagnosis of PE is suspected, any possible life-saving intervention must be implemented because survival from cardiac arrest following PE is often quite low. Although there are not many randomized controlled trials that provide guidelines for treating suspected PE in cardiac arrest victims, the few published case reports and other minor studies suggest that thrombolysis and other therapies are associated with good outcomes. We report a patient with PE who presented in cardiac arrest with its clinical, electrographic, and radiologic findings, along with the appropriate therapy chosen based on hemodynamic stability. It is important to intervene early to prevent severe complications and improve the patient's outcomes.
PubMed: 38939235
DOI: 10.7759/cureus.61213 -
Cureus Jun 2024Aim This preliminary pilot study aimed to explore a correlation between COVID-19 presentation with e-cigarette vapers in the Western Sydney region of Australia.
UNLABELLED
Aim This preliminary pilot study aimed to explore a correlation between COVID-19 presentation with e-cigarette vapers in the Western Sydney region of Australia.
METHOD
Extracted data from questionnaires completed by 100 Australians residing in the Western Sydney region who were infected with COVID-19 during the pandemic from March 2020 to March 2022 were analyzed. Data collected included patient age, biological gender, years of vaping, if vaping began prior to COVID-19, weekly vaping frequency, the year that COVID-19 was contracted, and the category of COVID-19 symptoms. The symptoms are scaled into four categories for this study, from lowest severity to high severity based on the World Health Organization's classifications.
RESULTS
Vapers in Western Sydney Australia experienced higher severity COVID-19 presentations compared to non-vapers. Biological males were found to be more susceptible than biological females for experiencing the highest severity. Vapers with higher years of vaping had severe COVID-19 presentations compared to lesser years of vaping.
CONCLUSION
Among adults in Western Sydney Australia aged 18 years and above, the collected data showed a correlation between e-cigarette vapers reporting higher severity of COVID-19 presentations compared to non-vapers of the same demographic when they contracted COVID-19.
PubMed: 38938908
DOI: 10.7759/cureus.63190 -
Occupational and Environmental Medicine Jun 2024Previous radiologic and histopathologic studies suggest respirable crystalline silica (RCS) overexposure has been driving the resurgence of pneumoconiosis among...
OBJECTIVES
Previous radiologic and histopathologic studies suggest respirable crystalline silica (RCS) overexposure has been driving the resurgence of pneumoconiosis among contemporary US coal miners, with a higher prevalence of severe disease in Central Appalachia. We sought to better understand RCS exposure among US underground coal miners.
METHODS
We analysed RCS levels, as measured by respirable quartz, from coal mine dust compliance data from 1982 to 2021.
RESULTS
We analysed 322 919 respirable quartz samples from 5064 US underground coal mines. Mean mine-level respirable quartz percentage and mass concentrations were consistently higher for Central Appalachian mines than the rest of the USA. Mean mine-level respirable quartz mass concentrations decreased significantly over time, from 0.116 mg/m in 1982 to as low as 0.017 mg/m for Central Appalachian mines, and from 0.089 mg/m in 1983 to 0.015 mg/m in 2020 for the rest of the USA. Smaller mine size, location in Central Appalachia, lack of mine safety committee and thinner coal seams were predictive of higher respirable quartz mass concentrations.
CONCLUSIONS
These data substantially support the association between RCS overexposure and the resurgence of coal workers' pneumoconiosis in the USA, particularly in smaller mines in Central Appalachia.
PubMed: 38937079
DOI: 10.1136/oemed-2023-109347 -
Assessment of Global and Regional Lung Compliance in Pulmonary Fibrosis With Hyperpolarized Gas MRI.Journal of Magnetic Resonance Imaging :... Jun 2024Lung compliance, a biomarker of pulmonary fibrosis, is generally measured globally. Hyperpolarized Xe gas MRI offers the potential to evaluate lung compliance...
BACKGROUND
Lung compliance, a biomarker of pulmonary fibrosis, is generally measured globally. Hyperpolarized Xe gas MRI offers the potential to evaluate lung compliance regionally, allowing for visualization of changes in lung compliance associated with fibrosis.
PURPOSE
To assess global and regional lung compliance in a rat model of pulmonary fibrosis using hyperpolarized Xe gas MRI.
STUDY TYPE
Prospective.
ANIMAL MODEL
Twenty Sprague-Dawley male rats with bleomycin-induced fibrosis model (N = 10) and saline-treated controls (N = 10).
FIELD STRENGTH/SEQUENCE
7-T, fast low-angle shot (FLASH) sequence.
ASSESSMENT
Lung compliance was determined by fitting lung volumes derived from segmented Xe MRI with an iterative selection method, to corresponding airway pressures. Similarly, lung compliance was obtained with computed tomography for cross-validation. Direction-dependencies of lung compliance were characterized by regional lung compliance ratios (R) in different directions. Pulmonary function tests (PFTs) and histological analysis were used to validate the pulmonary fibrosis model and assess its correlation with Xe lung compliance.
STATISTICAL TESTS
Shapiro-Wilk tests, unpaired and paired t-tests, Mann-Whitney U and Wilcoxon signed-rank tests, and Pearson correlation coefficients. P < 0.05 was considered statistically significant.
RESULTS
For the entire lung, the global and regional lung compliance measured with Xe gas MRI showed significant differences between the groups, and correlated with the global lung compliance measured using PFTs (global: r = 0.891; regional: r = 0.873). Additionally, for the control group, significant difference was found in mean regional compliance between areas, eg, 0.37 (0.32, 0.39) × 10 mL/cm HO and 0.47 (0.41, 0.56) × 10 mL/cm HO for apical and basal lung, respectively. The apical-basal direction R was 1.12 ± 0.09 and 1.35 ± 0.13 for fibrosis and control groups, respectively, indicating a significant difference.
DATA CONCLUSION
Our findings demonstrate the feasibility of using hyperpolarized gas MRI to assess regional lung compliance.
EVIDENCE LEVEL
2 TECHNICAL EFFICACY: Stage 1.
PubMed: 38935670
DOI: 10.1002/jmri.29497 -
Kidney Research and Clinical Practice Jun 2024Sepsis-associated acute kidney injury (SA-AKI) is a serious complication in critically ill patients, resulting in higher mortality, morbidity, and cost. The intricate...
Sepsis-associated acute kidney injury (SA-AKI) is a serious complication in critically ill patients, resulting in higher mortality, morbidity, and cost. The intricate pathophysiology of SA-AKI requires vigilant clinical monitoring and appropriate, prompt intervention. While traditional statistical analyses have identified severe risk factors for SA-AKI, the results have been inconsistent across studies. This has led to growing interest in leveraging artificial intelligence (AI) and machine learning (ML) to predict SA-AKI better. ML can uncover complex patterns beyond human discernment by analyzing vast datasets. Supervised learning models like XGBoost and RNN-LSTM have proven remarkably accurate at predicting SA-AKI onset and subsequent mortality, often surpassing traditional risk scores. Meanwhile, unsupervised learning reveals clinically relevant sub-phenotypes among diverse SA-AKI patients, enabling more tailored care. In addition, it potentially optimizes sepsis treatment to prevent SA-AKI through continual refinement based on patient outcomes. However, utilizing AI/ML presents ethical and practical challenges regarding data privacy, algorithmic biases, and regulatory compliance. AI/ML allows early risk detection, personalized management, optimal treatment strategies, and collaborative learning for SA-AKI management. Future directions include real-time patient monitoring, simulated data generation, and predictive algorithms for timely interventions. However, a smooth transition to clinical practice demands continuous model enhancements and rigorous regulatory oversight. In this article, we outlined the conventional methods used to address SA-AKI and explore how AI and ML can be applied to diagnose and manage SA-AKI, highlighting their potential to revolutionize SA-AKI care.
PubMed: 38934028
DOI: 10.23876/j.krcp.23.298