-
BMJ Open May 2024Fluorine-fluorodeoxyglucose (F-FDG) positron emission tomography (PET) CT imaging has been used in many inflammatory and infectious conditions to differentiate areas of...
Can FDG-PET/CT imaging be used to predict decline in quality of life in interstitial lung disease? A prospective study of the relationship between FDG uptake and quality of life in a UK outpatient setting.
BACKGROUND
Fluorine-fluorodeoxyglucose (F-FDG) positron emission tomography (PET) CT imaging has been used in many inflammatory and infectious conditions to differentiate areas of increased metabolic activity. FDG uptake differs between areas of normal lung parenchyma and interstitial lung disease (ILD).
OBJECTIVES
In this study, we investigated whether FDG-PET/CT parameters were associated with a change in the quality of life (QoL) in patients with ILD over 4 years of follow-up.
METHODS
Patients underwent PET-CT imaging at diagnosis and were followed up with annual QoL assessment using the St George's Respiratory Questionnaire (SGRQ) until death or 4 years of follow-up. Maximum standard uptake value (SUVmax) and Tissue-to-Background Ratio (TBR) were assessed against SGRQ overall and subscale scores.
RESULTS
193 patients (94 patients in the idiopathic pulmonary fibrosis (IPF) subgroup and 99 patients in the non-IPF subgroup) underwent baseline FDG-PET/CT imaging and QoL assessment. Weak-to-moderate correlation was observed between baseline SUVmax and SGRQ scores in both ILD subgroups. No relationship was observed between baseline SUVmax or TBR and change in SGRQ scores over 4 years of follow-up. In the IPF subgroup, surviving patients reported a decline in QoL at 4 years post diagnosis whereas an improvement in QoL was seen in surviving patients with non-IPF ILD.
CONCLUSIONS
Weak-to-moderate positive correlation between baseline SUVmax and SGRQ scores was observed in both ILD subgroups (IPF:r=0.187, p=0.047, non-IPF: r=0.320, p=0.001). However, baseline SUVmax and TBR were not associated with change in QoL in patients with IPF and non-IPF ILD over 4 years of follow-up. At 4 years post diagnosis, surviving patients with IPF reported declining QoL whereas improvement was seen in patients with ILD who did not have IPF.
Topics: Humans; Fluorodeoxyglucose F18; Positron Emission Tomography Computed Tomography; Quality of Life; Male; Female; Lung Diseases, Interstitial; Prospective Studies; Aged; Middle Aged; United Kingdom; Radiopharmaceuticals; Surveys and Questionnaires; Idiopathic Pulmonary Fibrosis
PubMed: 38816048
DOI: 10.1136/bmjopen-2023-081103 -
BMJ Open May 2024This study aimed to describe the clinical characteristics of adults with suspected acute community-acquired pneumonia (CAP) on hospitalisation, evaluate their prediction...
Community-acquired pneumonia: use of clinical characteristics of acutely admitted patients for the development of a diagnostic model - a cross-sectional multicentre study.
OBJECTIVES
This study aimed to describe the clinical characteristics of adults with suspected acute community-acquired pneumonia (CAP) on hospitalisation, evaluate their prediction performance for CAP and compare the performance of the model to the initial assessment of the physician.
DESIGN
Cross-sectional, multicentre study.
SETTING
The data originated from the INfectious DisEases in Emergency Departments study and were collected prospectively from patient interviews and medical records. The study included four Danish medical emergency departments (EDs) and was conducted between 1 March 2021 and 28 February 2022.
PARTICIPANTS
A total of 954 patients admitted with suspected infection were included in the study.
PRIMARY AND SECONDARY OUTCOME
The primary outcome was CAP diagnosis assessed by an expert panel.
RESULTS
According to expert evaluation, CAP had a 28% prevalence. 13 diagnostic predictors were identified using least absolute shrinkage and selection operator regression to build the prediction model: dyspnoea, expectoration, cough, common cold, malaise, chest pain, respiratory rate (>20 breaths/min), oxygen saturation (<96%), abnormal chest auscultation, leucocytes (<3.5×10/L or >8.8×10/L) and neutrophils (>7.5×10/L). C reactive protein (<20 mg/L) and having no previous event of CAP contributed negatively to the final model. The predictors yielded good prediction performance for CAP with an area under the receiver-operator characteristic curve (AUC) of 0.85 (CI 0.77 to 0.92). However, the initial diagnosis made by the ED physician performed better, with an AUC of 0.86 (CI 84% to 89%).
CONCLUSION
Typical respiratory symptoms combined with abnormal vital signs and elevated infection biomarkers were predictors for CAP on admission to an ED. The clinical value of the prediction model is questionable in our setting as it does not outperform the clinician's assessment. Further studies that add novel diagnostic tools and use imaging or serological markers are needed to improve a model that would help diagnose CAP in an ED setting more accurately.
TRIAL REGISTRATION NUMBER
NCT04681963.
Topics: Humans; Community-Acquired Infections; Cross-Sectional Studies; Male; Female; Middle Aged; Aged; Pneumonia; Emergency Service, Hospital; Hospitalization; Denmark; Adult; ROC Curve; Prospective Studies; C-Reactive Protein
PubMed: 38816044
DOI: 10.1136/bmjopen-2023-079123 -
BMJ Open Quality May 2024This service evaluation describes the rapid implementation of self-monitoring of blood pressure (SMBP) into maternity care at a tertiary referral centre during the...
BACKGROUND
This service evaluation describes the rapid implementation of self-monitoring of blood pressure (SMBP) into maternity care at a tertiary referral centre during the COVID-19 pandemic. It summarises findings, identifies knowledge gaps and provides recommendations for further research and practice.
INTERVENTION
Pregnant and postpartum women monitored their blood pressure (BP) at home, with instructions on actions to take if their BP exceeded pre-determined thresholds. Some also conducted proteinuria self-testing.
DATA COLLECTION AND ANALYSIS
Maternity records, app data and staff feedback were used in interim evaluations to assess process effectiveness and guide adjustments, employing a Plan-Do-Study-Act and root cause analysis approach.
RESULTS
Between March 2020 and August 2021, a total of 605 women agreed to self-monitor their BP, including 10 women with limited English. 491 registered for telemonitoring (81.2%). 21 (3.5%) took part in urine self-testing. Engagement was high and increased over time with no safety issues. Biggest concerns related to monitor supply and postnatal monitoring. In December 2020, SMBP was integrated into the standard maternity care pathway.
CONCLUSIONS
This project demonstrated successful integration of SMBP into maternity care. Early stakeholder engagement and clear guidance were crucial and community midwifery support essential. Supplying BP monitors throughout pregnancy and post partum could improve the service and fully digitised maternity records would aid data collection. More research is needed on SMBP in the postnatal period and among non-English speakers. These findings support efforts to implement app-supported self-monitoring and guide future research.
Topics: Humans; Female; Pregnancy; COVID-19; Quality Improvement; Adult; United Kingdom; SARS-CoV-2; State Medicine; Blood Pressure Monitoring, Ambulatory; Pandemics; Self Care; Telemedicine
PubMed: 38816006
DOI: 10.1136/bmjoq-2023-002383 -
PloS One 2024After its emergence in China, the coronavirus SARS-CoV-2 has swept the world, leading to global health crises with millions of deaths. COVID-19 clinical manifestations...
BACKGROUND
After its emergence in China, the coronavirus SARS-CoV-2 has swept the world, leading to global health crises with millions of deaths. COVID-19 clinical manifestations differ in severity, ranging from mild symptoms to severe disease. Although perturbation of metabolism has been reported as a part of the host response to COVID-19 infection, scarce data exist that describe stage-specific changes in host metabolites during the infection and how this could stratify patients based on severity.
METHODS
Given this knowledge gap, we performed targeted metabolomics profiling and then used machine learning models and biostatistics to characterize the alteration patterns of 50 metabolites and 17 blood parameters measured in a cohort of 295 human subjects. They were categorized into healthy controls, non-severe, severe and critical groups with their outcomes. Subject's demographic and clinical data were also used in the analyses to provide more robust predictive models.
RESULTS
The non-severe and severe COVID-19 patients experienced the strongest changes in metabolite repertoire, whereas less intense changes occur during the critical phase. Panels of 15, 14, 2 and 2 key metabolites were identified as predictors for non-severe, severe, critical and dead patients, respectively. Specifically, arginine and malonyl methylmalonyl succinylcarnitine were significant biomarkers for the onset of COVID-19 infection and tauroursodeoxycholic acid were potential biomarkers for disease progression. Measuring blood parameters enhanced the predictive power of metabolic signatures during critical illness.
CONCLUSIONS
Metabolomic signatures are distinctive for each stage of COVID-19 infection. This has great translation potential as it opens new therapeutic and diagnostic prospective based on key metabolites.
Topics: Humans; COVID-19; Machine Learning; Male; Female; Biomarkers; Middle Aged; Metabolomics; Adult; Severity of Illness Index; SARS-CoV-2; Aged; Metabolome
PubMed: 38814977
DOI: 10.1371/journal.pone.0302977 -
PloS One 2024Non-small cell lung cancer (NSCLC) is one of the most common malignancies worldwide, and oxidative stress plays a crucial role in its development. Juglone, a naturally...
Non-small cell lung cancer (NSCLC) is one of the most common malignancies worldwide, and oxidative stress plays a crucial role in its development. Juglone, a naturally occurring naphthoquinone in J. mandshurica, exhibits significant cytotoxic activity against various cancer cell lines. However, whether the anticancer activity of juglone is associated with oxidative stress remains unexplored. In this study, mouse Lewis lung cancer (LLC) and human non-small cell lung cancer A549 cells were used to explore the anticancer mechanisms of juglone. Juglone inhibited LLC and A549 cells viability, with IC50 values of 10.78 μM and 9.47 μM, respectively, for 24 h, and substantially suppressed the migration and invasion of these two lung cancer cells. Additionally, juglone arrested the cell cycle, induced apoptosis, increased the cleavage of caspase 3 and the protein expression of Bax and Cyt c, and decreased the protein expression of Bcl-2 and caspase-3. Furthermore, juglone treatment considerably increased intracellular reactive oxygen species (ROS) and malondialdehyde (MDA) levels, but suppressed glutathione peroxidase 4 (GPX4) and superoxide dismutase (SOD) activities. It also inhibited the phosphatidylinositol 3-kinase (PI3K)/Akt signaling pathway, which was attenuated by 1,3-diCQA (an activator of PI3K/Akt). Moreover, N-acetylcysteine (a ROS scavenger) partially reversed the positive effects of juglone in terms of migration, invasion, ROS production, apoptosis, and PI3K/Akt pathway-associated protein expression. Finally, in tumor-bearing nude mouse models, juglone inhibited tumor growth without any apparent toxicity and significantly induced apoptosis in NSCLC cells. Collectively, our findings suggest that juglone triggers apoptosis via the ROS-mediated PI3K/Akt pathway. Therefore, juglone may serve as a potential therapeutic agent for the treatment of NSCLC.
Topics: Naphthoquinones; Carcinoma, Non-Small-Cell Lung; Reactive Oxygen Species; Humans; Animals; Apoptosis; Proto-Oncogene Proteins c-akt; Phosphatidylinositol 3-Kinases; Lung Neoplasms; Mice; Signal Transduction; A549 Cells; Cell Movement; Carcinoma, Lewis Lung; Cell Line, Tumor
PubMed: 38814975
DOI: 10.1371/journal.pone.0299921 -
PloS One 2024This research investigates the glass cliff effect and the positions held by women in leadership roles, focusing on their impact on operational liquidity. The study...
This research investigates the glass cliff effect and the positions held by women in leadership roles, focusing on their impact on operational liquidity. The study delves into the relationship between corporate governance attributes and operational liquidity in 60 non-financial companies listed on the Pakistan Stock Exchange during Covid-19. Utilizing Quine-McCluskey technique and fuzzy set Qualitative Comparative Analysis (fsQCA), it examines the combined effect of Women on the Board, Board Size, Ownership by Blockholders, Board Qualifications and Busy Directors on Operational Liquidity. The necessary condition analysis (NCA) emphasises that firms can operate without reliance on any particular variable taken in the study. The sufficiency analysis provided an expanded understanding of the three conditions leading to the same outcome both before and during the pandemic. This research highlights the significance of the glass cliff effect and emphasizes the pivotal role of women in effectively managing liquidity during times of crisis. Additionally, it provides valuable insights for policymakers regarding the impact of Covid-19 on the interplay between corporate governance characteristics and operational liquidity.
Topics: Leadership; Humans; Female; COVID-19; Pakistan; SARS-CoV-2; Pandemics
PubMed: 38814963
DOI: 10.1371/journal.pone.0302210 -
PloS One 2024To investigate the correlation between oxygen saturation index (OSI) and oxygenation index (OI) for evaluating the blood oxygenation status in neonates with respiratory... (Comparative Study)
Comparative Study
OBJECTIVE
To investigate the correlation between oxygen saturation index (OSI) and oxygenation index (OI) for evaluating the blood oxygenation status in neonates with respiratory failure requiring mechanical ventilation support and to assess the predictive capability of OSI in determining clinically relevant OI cutoffs.
METHODS
A prospective study was conducted on neonates who received invasive mechanical ventilation at the neonatal intensive care unit of tertiary hospital in Vietnam. Bland-Altman analysis was utilized to evaluate the agreement between OSI and OI.
RESULTS
A total of 123 neonates, including both term and preterm infants, were included in the study. A high agreement rate of 94.3% within the 95% limits of agreement (between OI and OSI), with a narrow similarity value of 3.3 (95% CI: -5.1 to 11.8) and high correlation coefficient (r = 0.791, p<0.001) was observed. The OSI cut-off value for predicting an OI of >15 was determined to be 7.45, with a sensitivity of 100% and a specificity of 87.4% (AUC 0.955; 95% CI: 0.922-0.989, p < 0.05). Similarly, an OSI cutoff value of 9.9 corresponded to an OI of 25, displaying a sensitivity of 100% and specificity of 87.4% (AUC 0.92). The receiver operating characteristic (ROC) curves for OSI exhibited statistically significant results (p < 0.05).
CONCLUSION
The findings demonstrate a strong correlation between OSI and OI in neonates with respiratory failure. Furthermore, OSI, as a non-invasive method, can serve as a substitute for OI to evaluate the severity of hypoxic respiratory failure and lung injury in neonates.
Topics: Humans; Infant, Newborn; Respiration, Artificial; Respiratory Insufficiency; Male; Female; Prospective Studies; Oxygen Saturation; Hypoxia; Oxygen; Intensive Care Units, Neonatal; Infant, Premature; ROC Curve
PubMed: 38814919
DOI: 10.1371/journal.pone.0304278 -
PloS One 2024The objective was to investigate the effectiveness of a person-centred active rehabilitation programme on symptoms associated with suspected Chronic Traumatic...
OBJECTIVE
The objective was to investigate the effectiveness of a person-centred active rehabilitation programme on symptoms associated with suspected Chronic Traumatic Encephalopathy (CTE). This was accomplished by (1) assessing the effect that a person-centred active rehabilitation programme had on participant symptoms, and (2) exploring how temporal contextual factors affected the participants' experience with, and perceived effectiveness of, the active rehabilitation programme.
METHODS
A twelve-month mixed-methods single case experimental research design was used with six cases (participants). Individual cases were involved in a 51-week study period including an initial interview and three-week baseline phase. Cases were then randomly allocated to one of two n-of-1 study designs (i.e., A-B, B-A, B-A, A-B or B-A, A-B, A-B, B-A) where A and B represent a non-intervention and intervention phase, respectively. Interviews were conducted regularly throughout the study whilst outcome measures were assessed at each follow-up. Analysis of the data included visual, statistical, and qualitative analysis.
RESULTS
Visual and statistical analysis of cognitive and executive function, and mindful attention, demonstrated trivial-to-large effects with the summary reflecting positive or unclear results. A mixed picture was observed for mood and behaviour with effects considered trivial-to-large, and the summary demonstrating positive, unclear and negative effects. Qualitative analysis indicated a perceived improvement in outcome measures such as memory, attention, anxiety, and emotional control despite mixed quantitative findings whilst a clear impact of contextual factors, such as COVID-19, the political atmosphere, exercise tolerance, programme progression, and motivation were evident during the intervention.
CONCLUSIONS
This study has provided primary-level evidence to suggest active rehabilitation as a potential intervention for the management of suspected CTE symptoms. This study has also demonstrated the benefit of a person-centred approach to both clinical research and practice, particularly by considering contextual factors for a better understanding of an intervention effect.
Topics: Humans; Male; Female; Adult; Middle Aged; Chronic Traumatic Encephalopathy; Patient-Centered Care; Cognition; Executive Function; COVID-19; Single-Case Studies as Topic
PubMed: 38814891
DOI: 10.1371/journal.pone.0302260 -
PloS One 2024Amid the ongoing global repercussions of SARS-CoV-2, it is crucial to comprehend its potential long-term psychiatric effects. Several recent studies have suggested a...
SARS-CoV-2 infection is associated with an increase in new diagnoses of schizophrenia spectrum and psychotic disorder: A study using the US national COVID cohort collaborative (N3C).
Amid the ongoing global repercussions of SARS-CoV-2, it is crucial to comprehend its potential long-term psychiatric effects. Several recent studies have suggested a link between COVID-19 and subsequent mental health disorders. Our investigation joins this exploration, concentrating on Schizophrenia Spectrum and Psychotic Disorders (SSPD). Different from other studies, we took acute respiratory distress syndrome (ARDS) and COVID-19 lab-negative cohorts as control groups to accurately gauge the impact of COVID-19 on SSPD. Data from 19,344,698 patients, sourced from the N3C Data Enclave platform, were methodically filtered to create propensity matched cohorts: ARDS (n = 222,337), COVID-19 positive (n = 219,264), and COVID-19 negative (n = 213,183). We systematically analyzed the hazard rate of new-onset SSPD across three distinct time intervals: 0-21 days, 22-90 days, and beyond 90 days post-infection. COVID-19 positive patients consistently exhibited a heightened hazard ratio (HR) across all intervals [0-21 days (HR: 4.6; CI: 3.7-5.7), 22-90 days (HR: 2.9; CI: 2.3 -3.8), beyond 90 days (HR: 1.7; CI: 1.5-1.)]. These are notably higher than both ARDS and COVID-19 lab-negative patients. Validations using various tests, including the Cochran Mantel Haenszel Test, Wald Test, and Log-rank Test confirmed these associations. Intriguingly, our data indicated that younger individuals face a heightened risk of SSPD after contracting COVID-19, a trend not observed in the ARDS and COVID-19 negative groups. These results, aligned with the known neurotropism of SARS-CoV-2 and earlier studies, accentuate the need for vigilant psychiatric assessment and support in the era of Long-COVID, especially among younger populations.
Topics: Humans; COVID-19; Schizophrenia; Male; Psychotic Disorders; Female; Adult; Middle Aged; Cohort Studies; SARS-CoV-2; United States; Respiratory Distress Syndrome; Aged; Young Adult
PubMed: 38814888
DOI: 10.1371/journal.pone.0295891 -
MMWR. Morbidity and Mortality Weekly... May 2024
Topics: Humans; Animals; United States; Influenza, Human; Cattle; Disease Outbreaks; Influenza A Virus, H5N1 Subtype; Cattle Diseases; Female; Male
PubMed: 38814843
DOI: 10.15585/mmwr.mm7321e1