Improve Patient Outcomes Research Articles

Pulse oximetry in pediatric care: Balancing advantages and limitations

BACKGROUND Pulse oximetry has become a cornerstone technology in healthcare, providing non-invasive monitoring of oxygen saturation levels and pulse rate. Despite its widespread use, the technology has inherent limitations and challenges that must be addressed to ensure accurate and reliable patient care. AIM To comprehensively evaluate the advantages, limitations, and challenges of pulse oximetry in clinical practice, as well as to propose recommendations for optimizing its use. METHODS A systematic literature review was conducted to identify studies related to pulse oximetry and its applications in various clinical settings. Relevant articles were selected based on predefined inclusion and exclusion criteria, and data were synthesized to provide a comprehensive overview of the topic. RESULTS Pulse oximetry offers numerous advantages, including non-invasiveness, real-time feedback, portability, and cost-effectiveness. However, several limitations and challenges were identified, including motion artifacts, poor peripheral perfusion, ambient light interference, and patient-specific factors such as skin pigmentation and hemoglobin variants. Recommendations for optimizing pulse oximetry use include technological advancements, education and training initiatives, quality assurance protocols, and interdisciplinary collaboration. CONCLUSION Pulse oximetry is crucial in modern healthcare, offering invaluable insights into patients’ oxygenation status. Despite its limitations, pulse oximetry remains an indispensable tool for monitoring patients in diverse clinical settings. By implementing the recommendations outlined in this review, healthcare providers can enhance the effectiveness, accessibility, and safety of pulse oximetry monitoring, ultimately improving patient outcomes and quality of care.

Exploring machine learning approaches for early diabetes risk prediction: A comprehensive examination of health indicators and models

Background: The increased prevalence of morbidity and mortality associated with Type 2 diabetes is due to changing lifestyles, demanding improved disease management measures. To tackle this, scientists are increasingly looking to technological advances, notably machine learning, for illness prevention and management, particularly in non-communicable diseases. The emphasis is on establishing an early detection system to identify Type 2 diabetes risk factors, enabling prompt treatments and preventative steps to reduce the disease’s rising prevalence. Materials and methods: The research aimed to assess the association of diabetes class with health indicators. Five machine learning models were employed with cross-validation techniques to predict early diabetes risk. The performance matrices of the models were evaluated and compared with the existing work. Results: In multivariate analysis, we found polyuria (β=3.492; Aor=32.872; 95% CI=11.09,97.35; p<0.001), polydipsia (β=-4.100; Aor=60.378; 95%CI=18.28,199.37; p<0.001), polyphagia (β=1.181; Aor=3.25; 95%CI=1.23,8.57; p=0.017), genital thrush (β=1.08; Aor=2.96; 95%CI=1.26,7.53; p=0.023), irritability (β=2.28; Aor=9.82; 95%CI=3.41,28.26; p<0.001), and partial paresis (β=1.2406; Aor=3.45; 95% CI=1.35,8.79; p=0.009) are the potential health risk indicators for positive diabetes class. Conclusion: Using an interpretable feature learning approach for early diabetes prediction improves the use of global health data. This method forecasts hazards correctly and gives insights into influential aspects. As a result, a more proactive healthcare strategy is implemented, allowing for more prompt treatments and encouraging a more hopeful future by improving patient outcomes and lowering the total burden of diabetes on individuals and healthcare systems.

Circulating tumor cells: from new biological insights to clinical practice.

The primary reason for high mortality rates among cancer patients is metastasis, where tumor cells migrate through the bloodstream from the original site to other parts of the body. Recent advancements in technology have significantly enhanced our comprehension of the mechanisms behind the bloodborne spread of circulating tumor cells (CTCs). One critical process, DNA methylation, regulates gene expression and chromosome stability, thus maintaining dynamic equilibrium in the body. Global hypomethylation and locus-specific hypermethylation are examples of changes in DNA methylation patterns that are pivotal to carcinogenesis. This comprehensive review first provides an overview of the various processes that contribute to the formation of CTCs, including epithelial-mesenchymal transition (EMT), immune surveillance, and colonization. We then conduct an in-depth analysis of how modifications in DNA methylation within CTCs impact each of these critical stages during CTC dissemination. Furthermore, we explored potential clinical implications of changes in DNA methylation in CTCs for patients with cancer. By understanding these epigenetic modifications, we can gain insights into the metastatic process and identify new biomarkers for early detection, prognosis, and targeted therapies. This review aims to bridge the gap between basic research and clinical application, highlighting the significance of DNA methylation in the context of cancer metastasis and offering new avenues for improving patient outcomes.

A Study on the Effectiveness of Musculoskeletal Corticosteroid Injections for Reducing Patient Symptom Scores in Primary Care Practice.

To present data on the effectiveness of corticosteroid injections (CSI) in reducing symptom scores for musculoskeletal conditions in patients treated in an NHS primary care CSI service. The data will also examine whether adding local anaesthetic to the corticosteroid preparation affects the overall patient outcomes in symptom scores. A Patient-reported outcomes (PRO) questionnaire was used to collect data. Patients were asked to complete the questionnaire post-CSI. Patients were asked to rate their symptoms on a score of 0-6 before and after their injection. Data were calculated using standard deviation and paired t-test to assess the effectiveness of CSI in reducing symptom scores. Overall, 172 patients (79.6%) reported an improvement in symptomatology post CSI. Improvements were seen across all injection sites. Of those taking medication for their symptoms, 73 patients (55.7%) reported that they were able to reduce their medication. Data did not suggest that adding local anaesthetic to the injectate resulted in better patient outcomes. Post-injection symptom scores were statistically similar across all clinicians. 83.7% of patients experienced a reduction in symptom scores post injection. Adding lidocaine to the injectate preparation did not result in any statistically significant improvement in patient outcome. Over half of the participants were able to reduce their medication post injection, which demonstrates this is a highly effective primary care service for treatment/management of some MSK conditions.

Big data in sarcoidosis.

This review provides an overview of recent advancements in sarcoidosis research, focusing on collaborative networks, phenotype characterization, and molecular studies. It highlights the importance of collaborative efforts, phenotype characterization, and the integration of multilevel molecular data for advancing sarcoidosis research and paving the way toward personalized medicine. Sarcoidosis exhibits heterogeneous clinical manifestations influenced by various factors. Efforts to define sarcoidosis endophenotypes show promise, while technological advancements enable extensive molecular data generation. Collaborative networks and biobanks facilitate large-scale studies, enhancing biomarker discovery and therapeutic protocols. Sarcoidosis presents a complex challenge due to its unknown cause and heterogeneous clinical manifestations. Collaborative networks, comprehensive phenotype delineation, and the utilization of cutting-edge technologies are essential for advancing our understanding of sarcoidosis biology and developing personalized medicine approaches. Leveraging large-scale epidemiological resources and biobanks and integrating multilevel molecular data offer promising avenues for unraveling the disease's heterogeneity and improving patient outcomes.

Unlocking the Potential of Drug Delivery Systems: A Comprehensive Review of Formulation Strategies and Technologies in the Field of Pharmaceutics

: The creation of innovative drug delivery systems to enhance therapeutic effectiveness, safety, and patient compliance has resulted in considerable developments in pharmaceutics in recent years. The most recent formulation techniques and technologies are reviewed in this article to improve medication distribution and accomplish specific therapeutic goals. : This article thoroughly summarizes the most recent formulation techniques and technologies used to enhance medication delivery and provide specific therapeutic effects. It discusses the variety of medication delivery methods, including nanoparticles, liposomes, micelles, and dendrimers, and explores the application of nanotechnology and biotechnology in drug delivery. Additionally, the paper emphasizes the significance of targeted drug delivery systems and their capacity to cross biological barriers including the blood-brain barrier and tumor microenvironment. : The review also addresses the challenges faced in developing and commercializing drug delivery systems and suggests potential solutions to overcome them. Furthermore, the article emphasizes the role of computational modeling and simulation in designing and optimizing drug delivery systems. : Overall, this review paper offers insightful information for pharmaceutics researchers, scientists, and practitioners that will help in the creation of novel drug delivery systems that improve patient outcomes and quality of life.

From Stiffness to Strength: The Role of Physical Activity in Managing Rheumatoid Arthritis

Rheumatoid arthritis (RA) is a chronic autoimmune disease characterized by joint inflammation, pain, and potential disability. While pharmacological treatments are central to managing RA, physical activity plays a crucial role in improving patient outcomes. This article explores the influence of physical activity on RA, detailing its benefits, challenges, and best practices. Physical activity offers numerous benefits for RA patients, including reduced pain, improved joint function, enhanced physical mobility, and better mental health. Regular exercise also mitigates the risk of cardiovascular disease, improves bone density, and contributes to overall quality of life. Suitable forms of physical activity for RA patients include low-impact aerobic exercises, strength training, flexibility exercises, balance training, and mind-body practices like yoga and Tai Chi. Despite these benefits, RA patients face challenges in engaging in physical activity, such as pain, fatigue, and psychological barriers. Properly tailored exercise programs, guided by healthcare professionals, can help overcome these challenges, ensuring that patients can safely incorporate physical activity into their management plans. This article highlights the importance of a multidisciplinary approach, integrating physical activity with conventional RA treatments, to optimize patient outcomes and enhance their quality of life.

From cortisol-producing adrenal adenoma to atrial myxoma, through nivolumab-induced hypophysitis: a complicated case report of Carney Complex.

Carney complex (CNC) is a rare, autosomal dominant syndrome, most commonly caused by PRKAR1A gene mutations and characterized by pigmented skin and mucosal changes with multiple endocrine and non-endocrine tumours. This case report highlights the diagnostic challenges associated with CNC in a patient with multiple neoplasms and a complex medical history, including cortisol-producing adrenal adenoma, breast cancer, melanoma, and atrial myxoma. We report the case of a 41-year-old woman with a medical history of left adrenalectomy for cortisol producing adenoma (2005) with no sign of adrenal insufficiency at follow-up, right mastectomy for BRCA1/2 negative carcinoma (2013) and left parotid BRAF-V600E wild-type melanoma (2019), treated with nivolumab adjuvant therapy. In August 2019, following the fifth nivolumab administration, the patient developed central hypocortisolism due to iatrogenic hypophysitis, confirmed by brain MRI and properly treated with oral hydrocortisone. Nivolumab was discontinued due to the patient's decision. In October 2020 and April 2021, the patient had ischaemic strokes, requiring systemic thrombolysis. Echocardiographic examination then revealed a left atrial mass, with histological finding of myxoma. Given the rarity of this neoplasm and the suspicion of a syndromic disorder, a genetic evaluation was conducted, which confirmed a PRKAR1A gene mutation and the diagnosis of Carney complex. This case illustrates the diagnostic challenges in CNC, especially in patients with multiple tumourous manifestations and a wide spectrum of life-threatening clinical presentations. It underscores the importance of a multidisciplinary approach to diagnose and manage rare diseases, improving patient outcomes through timely genetic testing and coordinated care.

Biomedical image classification using seagull optimization with deep learning for colon and lung cancer diagnosis

<p>Traditional health care relies on biomedical image categorization to identify and treat various medical conditions. In machine learning and medical imaging, biomedical image classification for colon and lung cancer diagnosis is significant. The work focuses on building novel models and algorithms to accurately detect and categorize tumorous lesions using computer tomography (CT) scans and histopathology slides. These systems use image processing, deep learning (DL), and convolutional neural networks (CNN) to assist medical professionals diagnose cancer sooner and improve patient outcomes. Biomedical image classification using seagull optimization with deep learning (BIC-SGODL) addresses colon and lung cancer diagnosis. The BIC-SGODL method improves cancer diagnosis using hyperparameter optimized DL model. BIC-SGODL utilizes DenseNet to learn complicated features. The convolutional long short-term memory (CLSTM) standard captures spatiotemporal information in sequential picture data. Finally, the SGO method adjusts hyperparameters to improve model performance and generalization. BIC-SGODL performs well with biomedical image dataset simulations. Thus, medical picture cancer diagnosis may be automated using BIC-SGODL.</p>

E Is for Early Mobility and Improved Patient Outcomes.

E Is for Early Mobility and Improved Patient Outcomes.

A Systematic Review of Herbal Interventions for the Management of Cardiovascular Diseases.

Cardiovascular diseases represent a significant global health burden, necessitating diverse approaches for effective management. Herbal interventions have gained attention as potential adjuncts or alternatives to conventional therapies due to their perceived safety and therapeutic potential. This structured abstract provides a comprehensive review of herbal interventions for the management of CVDs, summarising key findings, mechanisms of action, and clinical implications. This systematic review aims to evaluate the impact of various herbal interventions employed for managing cardiovascular diseases. We conducted an extensive literature search across electronic databases, including PubMed, Scopus, and Web of Science, from inception to 2022. Studies were included if they investigated the use of herbal remedies for preventing or treating CVDs. Data extraction and synthesis focused on botanical sources, active compounds, mechanisms of action, and clinical outcomes. Numerous herbal interventions have demonstrated promising cardiovascular benefits. A number of medicinal herbs well identified to treat CVD are Moringaoleifera, Ginseng, Ginkgo biloba, Celosia argentea, Gongronematrifolium, Gynostemmapentaphyllum, Bombaxceiba, Gentianalutea, Allium sativum, Crataegusspp, Curcuma longa, Camellia sinensis, and Zingiberofficinale. Mechanistic insights reveal that herbal interventions often target multiple pathways involved in CVD pathogenesis. These mechanisms encompass anti-inflammatory, antioxidant, anti-thrombotic, anti-hypertensive, and lipid-lowering effects. Additionally, some herbs enhance endothelial function, promote nitric oxide production, and exert vasodilatory effects, contributing to improved cardiovascular health. Clinical studies have provided evidence of the efficacy of certain herbal interventions in reducing CVD risk factors and improving patient outcomes. However, more rigorous, large-scale clinical trials are needed to establish their long-term safety and effectiveness. It is crucial to consider potential herb-drug interactions and standardise dosages for reliable therapeutic outcomes. This comprehensive review highlights the potential of herbal interventions as valuable adjuncts or alternatives for managing cardiovascular diseases. Herbal remedies offer diverse mechanisms of action, targeting key CVD risk factors and pathways. While promising, their clinical utility warrants further investigation through well-designed trials to establish their safety and efficacy, paving the way for integrated approaches to cardiovascular disease management. Healthcare providers and patients should engage in informed discussions about the use of herbal interventions alongside conventional therapies in the context of CVD prevention and treatment.

Indocyanine green uptake by human tumor and non‑tumor cell lines and tissue.

Indocyanine green (ICG) is a potential promising dye for a better intraoperative tumor border definition and an improved patient outcome by potentially improving tumor border visualization compared with traditional white light guided surgery. Here, the cellular uptake of ICG in human squamous cell carcinoma (SCC026) and immortalized non-cancer skin (HaCaT) cell lines was evaluated to study the tumor-specific cellular uptake of ICG. The spatial distribution of ICG inside tumor tissue was investigated in tissue sections of head and neck squamous cell carcinoma at a microscopic level. ICG uptake and internalization was observed in living cells after 2.5 h and in the nucleus after 24 h. In dead cells, higher and faster uptake was observed. In the tissue sections, higher ICG signal intensity could be detected in connective tissue and surrounding clusters and blood vessels. In conclusion, no distinct ICG uptake by tumor cells was detected in cancer cell lines and tumor tissue. ICG localization in certain regions of tumor tissue appears to be a result of enhanced tissue permeability and retention, but not specific to tumor cells.

An Overview of Current Progress and Challenges in Brain Cancer Therapy Using Advanced Nanoparticles.

Brain tumors pose significant challenges in terms of complete cure and early-stage prognosis. The complexity of brain tumors, including their location, infiltrative nature, and intricate tumor microenvironment (TME), contributes to the difficulties in achieving a complete cure. The primary objective of brain cancer therapy is to effectively treat brain tumors and improve the patient's quality of life. Nanoparticles (NPs) have emerged as promising tools in this regard. They can be designed to deliver therapeutic drugs to the brain tumor site while also incorporating imaging agents. The NPs with the 10-200 nm range can cross the blood-brain barrier (BBB) and blood-brain tumor barrier (BBTB) and facilitate drug bioavailability. NPs can be designed by several methods to improve the pharmaceutical and pharmacological aspects of encapsulated therapeutic agents. NPs can be developed in various dosage forms to suit different administration routes in brain cancer therapy. The unique properties and versatility of NPs make them essential tools in the fight against brain tumors, offering new opportunities to improve patient outcomes and care. Having the ability to target brain tumors directly, overcome the BBB, and minimize systemic side effects makes NPs valuable tools in improving patient outcomes and care. The review highlights the challenges associated with brain tumor treatment and emphasizes the importance of early detection and diagnosis. The use of NPs for drug delivery and imaging in brain tumors is a promising approach to improving patient outcomes and quality of life. The versatility and unique properties of NPs make them valuable tools in the fight against brain tumors, and NPs have the potential to revolutionize healthcare.

Maternal Sepsis.

Sepsis is the second leading cause of pregnancy-related mortality in the United States. Early recognition, treatment, and escalation of care for the obstetric patient affected by sepsis mitigate the risk of mortality and improve patient outcomes. In this article, we provide an overview of maternal sepsis and address topics of maternal pathophysiology, early warning signs, diagnostic criteria, early goal-directed therapy, and contemporary critical care practices. We also present an overview of common etiologies of maternal sepsis and suggested treatment approaches.

EPOS-OHCA: Early Predictors of Outcome and Survival after non-traumatic Out-of-Hospital Cardiac Arrest

BackgroundPost-cardiac arrest syndrome (PCAS) after out-of-hospital cardiac arrest (OHCA) poses significant challenges due to its complex pathomechanisms involving inflammation, ischemia, and reperfusion injury. The identification of early available prognostic indicators is essential for optimizing therapeutic decisions and improving patient outcomes. MethodsIn this retrospective single-center study, we analyzed real-world data from 463 OHCA patients with either prehospital or in-hospital return of spontaneous circulation (ROSC), treated at the Cardiac Arrest Center of the University Hospital of Marburg (MCAC) from January 2018 to December 2022. We evaluated demographic, prehospital, and clinical variables, including initial rhythms, resuscitation details, and early laboratory results. Statistical analyses included logistic regression to identify predictors of survival and neurological outcomes. ResultsOverall, 46.9% (n = 217) of patients survived to discharge, with 70.1% (n = 152) achieving favorable neurological status (CPC 1 or 2). Age, initial shockable rhythm, resuscitation time to return of spontaneous circulation (ROSC), and early laboratory parameters like lactate, C-reactive protein, and glomerular filtration rate were identified as independent and combined Early Predictors of Outcome and Survival (EPOS), with high significant predictive value for survival (AUC 0.86 [95% CI 0.82–0.89]) and favorable neurological outcome (AUC 0.84 [95% CI 0.80–0.88]). ConclusionIntegration of EPOS into clinical procedures may significantly improve clinical decision making and thus patient prognosis in the early time-crucial period after OHCA. However, further validation in other patient cohorts is needed.

Myxoid pleomorphic liposarcoma.

Myxoid pleomorphic liposarcoma (MPL) is an extremely rare adipocytic tumor, recently recognized as a distinct entity in the 5th edition of the World Health Organization (WHO) Classification of Soft Tissue and Bone Tumors. Predominantly found in the mediastinum of young women, MPLs exhibit a combination of histological features characteristic of myxoid liposarcoma and pleomorphic (lipo)sarcoma. Their unique molecular features distinguish MPLs from other liposarcomas. Unlike myxoid liposarcomas and well-differentiated/dedifferentiated liposarcomas, MPLs lack specific FUS/EWSR1::DDIT3 gene fusions and MDM2/CDK4 gene amplifications, respectively. MPLs are associated with complex karyotypes, further highlighting their distinct genetic profile. They demonstrate aggressive growth patterns, high recurrence rates, and a high tendency to metastasize. These factors contribute to a poor prognosis, with a median survival of approximately 22.6 months. The aim of this review article is to provide a comprehensive summary of previously documented case reports and studies related to MPLs. By shedding light on the intricate details of MPLs, researchers and clinicians can gain valuable insights that may pave the way for improvements in diagnosis, treatment, and patient outcomes in the future.

Evidence-based Approach for Prevention of Surgical Site Infection.

Periprosthetic joint infection (PJI) is regarded as a critical factor contributing to the failure of primary and revision total joint arthroplasty (TJA). With the increasing prevalence of TJA, a significant increase in the incidence of PJI is expected. The escalating number of cases, along with the significant economic strain imposed on healthcare systems, place emphasis on the pressing need for development of effective strategies for prevention. PJI not only affects patient outcomes but also increases mortality rates, thus its prevention is a matter of vital importance. The longer-term survival rates for PJI after total hip and knee arthroplasty correspond with or are lower than those for prevalent cancers in older adults while exceeding those for other types of cancers. Because of the multifaceted nature of infection risk, a collaborative effort among healthcare professionals is essential to implementing diverse strategies for prevention. Rigorous validation of the efficacy of emerging novel preventive techniques will be required. The combined application of these strategies can minimize the risk of infection, thus their comprehensive adoption is important. Collectively, the risk of PJI could be substantially minimized by application of a multifaceted approach implementing these strategies, leading to improvement of patient outcomes and a reduced economic burden.

Nephrology rapid response team in the intensive care unit

Acute kidney injury (AKI) is a frequent complication in patients admitted to the intensive care unit (ICU), and it is known as an independent factor for adverse outcomes like increased length of hospital stay, the development of chronic kidney disease (CKD), and increased mortality with the associated high cost to healthcare systems. The use of AKI biomarkers and new tools such as point-of-care ultrasonography (POCUS) to perform a hemodynamic and volume status assessment has made it more feasible to detect or predict kidney damage in a very accurate way, thereby avoiding the progression of AKI. The design and implementation of a nephrology rapid response team (NRRT) should be considered to improve patient outcomes and healthcare costs. In this paper, we provide an overview of the implementation of an NRRT.

From organs to algorithms: Redefining cancer classification in the age of artificial intelligence.

Traditional cancer classification based on organ of origin and histology is increasingly at odds with precision oncology. Tumors in different organs can share molecular features, while those in the same organ can be heterogeneous. This disconnect impacts clinical trials, drug development, and patient care. Recent advances in artificial intelligence (AI), particularly machine learning and deep learning, offer promising avenues for reclassifying cancers through comprehensive integration of molecular, histopathological, imaging, and clinical characteristics. AI-driven approaches have the potential to reveal novel cancer subtypes, identify new prognostic variables, and guide more precise treatment strategies for improving patient outcomes.

Opportunities and Challenges of Interprofessional Education: Postgraduate Nurse Practitioner and Physician Residency

Interprofessional teams improve patient outcomes and job satisfaction, yet placing health care professionals together does not produce effective collaboration. A qualitative study was conducted to evaluate the success and challenges of an interprofessional nurse practitioner (NP) residency. Key stakeholders were interviewed to determine the perceived success and challenges of an interprofessional-based NP residency. Qualitative thematic content analysis revealed 6 themes, including a high level of satisfaction among key stakeholders. Results suggested formal interprofessional training/interprofessional team-based care is effective and leads to improved relationships; however, because of perceptions of hierarchy and role confusion, interprofessional education may have to span longer than the current 1-year postgraduate NP residency.