Individual Patient Care Research Articles

Mechanical ventilation in special populations

Optimal respiratory support can only be achieved if the ventilator strategy utilized for each individual patient at any given point in the evolution of their disease process is tailored to the underlying pathophysiology. The critically ill newborn infant requires individualized patient care when it comes to mechanical ventilation. This can only occur if the clinician has a good understanding of the different pathophysiologies of a variety of conditions that can lead to respiratory failure. In this chapter we describe the key pathophysiological features of bronchopulmonary dysplasia, meconium aspiration syndrome and lung hypoplasia syndromes with emphasis on congenital diaphragmatic hernia. We review available evidence to guide management an provide specific recommendations for pathophysiologically-based mechanical ventilation support.

First Phase Development of a Patient-reported Outcome Measure for Midface Oncology

Background: Facial cancer surgery involving the midface (comprising the lower eyelids, nose, cheeks, and upper lip) can have debilitating life-changing functional, social, and psychological impacts on the patient. Midface symptoms are inadequately captured by existing patient-reported outcome measures (PROMs). PROMs are increasingly used for individual patient care, quality improvement, and standardized reporting of treatment outcomes. This study aimed to present our findings from the first phase of the development of a midface, specifically periocular and nasal, PROM. Methods: After international guidance for PROM development, the first phase comprised identification of salient issues and item generation. Fifteen patients who had midface surgery and 10 clinicians from various specialties with more than 5 years’ experience treating these patients were recruited. Semi-structured interviews explored aesthetic, functional, social, and psychological outcomes, with specific attention to deficiencies in current PROMs. Thematic analysis was used to develop an item pool, and group interviews with clinicians were carried out to create and refine PROM scales. Results: Qualitative data from patient interviews were grouped into aesthetic, functional, and psychosocial domains for the eyelids and nose. Ninety-nine draft items were generated across these domains. Following focus group discussions, the final version of the midface-specific PROM contained 31 items (13 eye-specific, 10-nose-specific, eight general midface items). Conclusions: This midface-specific PROM is valuable in assessing and comparing patient-reported outcomes in those who have undergone complex resection and reconstruction of the midface. This PROM is currently undergoing field testing.

The Role of the Dietitian within Family Therapy for Anorexia Nervosa (FT-AN): A Reflexive Thematic Analysis of Child and Adolescent Eating Disorder Clinician Perspectives.

Despite dietitians being important members of the multidisciplinary team delivering family therapy for anorexia nervosa (FT-AN), their specific responsibilities and roles are unclear and their involvement in the treatment can be a contentious issue. Clinicians (n = 20) experienced in the delivery of FT-AN who were working at a specialist child and adolescent eating disorder service responded to an online survey about their experience of including a dietitian in FT-AN and how they understand the role. Both categorical and open-ended questions were used. Reflexive thematic analysis was used to analyse the qualitative free-text responses of clinician perspectives on the role of the dietitian in FT-AN. All clinicians agreed that dietetics had a role within FT-AN and most frequently sought dietetic involvement in the early phases of FT-AN. Reflexive thematic analysis of responses identified three main themes. These were (1) collaboration is key, (2) confidence as a core consideration and (3) case-by-case approach. These themes evidenced the role of the dietitian within FT-AN and highlighted both the benefits and concerns of this involvement. This study demonstrated that dietitians can take a core role as collaborators within therapy-led teams that facilitate joint working and sharing of expertise. However, dietetic input should be considered on a case-by-case basis, given its potential for creating an over-focus on nutrition and potentially diminishing parental confidence in feeding. When indicated for selected cases, nutritional counselling should be offered in joint sessions with the therapist rather than separately. The findings of the study were limited by the small sample size of participants recruited from a single centre and heterogeneity in the professional background of respondents. Although the integration of dietetics within the multidisciplinary team and the ability of dietitians to individualise patient care can enhance FT-AN treatment, potential benefits and disbenefits should be considered for each case.

Pseudoscience: A skeleton in osteopathy's closet?

Pseudoscience has harmful effects on individual patient care, professions and society more broadly. The propagation of pseudoscience and spread of misinformation by a healthcare discipline raises questions as to their legitimacy and ethical standing as a profession. Osteopaths and osteopathic physicians are regulated by law as healthcare professionals in many parts of the world with an expectation that relevant aspects of practice are suitably aligned with the scientific paradigm in the form of a commitment to the values of evidence-based practice. This article discusses the system of pseudoscience and considers its historic, present and potential negative impacts on osteopathy and professional progress. We identify possible incentives for some aspects of osteopathy and osteopaths to engage in pseudoscientific thinking and in doing so we discuss osteopathy's susceptibility to pseudoscience and how practitioners may become more aware of and recognise pseudoscientific information and pseudoexpertise.

Three-dimensional printing of the human lung pleural cavity model for PDT malignant mesothelioma

ObjectiveThe primary aim was to investigate emerging 3D printing and optical acquisition technologies to refine and enhance photodynamic therapy (PDT) dosimetry in the management of malignant pleural mesothelioma (MPM). Materials and methodsA rigorous digital reconstruction of the pleural lung cavity was conducted utilizing 3D printing and optical scanning methodologies. These reconstructions were systematically assessed against CT-derived data to ascertain their accuracy in representing critical anatomic features and post-resection topographical variations. ResultsThe resulting reconstructions excelled in their anatomical precision, proving instrumental translation for precise dosimetry calculations for PDT. Validation against CT data confirmed the utility of these models not only for enhancing therapeutic planning but also as critical tools for educational and calibration purposes. ConclusionThe research outlined a successful protocol for the precise calculation of light distribution within the complex environment of the pleural cavity, marking a substantive advance in the application of PDT for MPM. This work holds significant promise for individualizing patient care, minimizing collateral radiation exposure, and improving the overall efficiency of MPM treatments.

Incidence and outcomes of kidney replacement therapy for end-stage kidney disease due to primary glomerular disease in Europe: findings from the ERA Registry.

Primary glomerular disease (PGD) is a major cause of end-stage kidney disease (ESKD) leading to kidney replacement therapy (KRT). We aimed to describe incidence (trends) in individuals starting KRT for ESKD due to PGD and to examine their survival and causes of death. We used data from the European Renal Association (ERA) Registry on 69854 patients who started KRT for ESKD due to PGD between 2000 and 2019. ERA primary renal disease codes were used to define six PGD subgroups. We examined age and sex standardized incidence, trend of the incidence and survival. The standardized incidence of KRT for ESKD due to PGD was 16.6 per million population (pmp), ranging from 8.6 pmp in Serbia to 20.0 pmp in France. Immunoglobulin A nephropathy (IgAN) and focal segmental glomerulosclerosis (FSGS) had the highest incidences, of 4.6 pmp and 2.6 pmp, respectively. Histologically non-examined PGDs represented over 50% of cases in Serbia, Bosnia and Herzegovina, and Romania and were also common in Greece, Estonia, Belgium and Sweden. The incidence declined from 18.6 pmp in 2000 to 14.5 pmp in 2013, after which it stabilized. All PGD subgroups had 5-year survival probabilities above 50%, with crescentic glomerulonephritis having the highest risk of death [adjusted hazard ratio 1.8 (95% confidence interval 1.6-1.9)] compared with IgAN. Cardiovascular disease was the most common cause of death (33.9%). The incidence of KRT for ESKD due to PGD showed large differences between countries and was highest and increasing for IgAN and FSGS. Lack of kidney biopsy facilities in some countries may have affected accurate assignment of the cause of ESKD. The recognition of the incidence and outcomes of KRT among different PGD subgroups may contribute to a more individualized patient care approach.

CLINICIAN-LEADERS IN CARDIAC REHABILITATION: CLINICAL EXERCISE PHYSIOLOGISTS

https://youtu.be/5aocJv-Xyk0 BACKGROUND Clinical exercise physiologists (CEP) are members of the multidisciplinary team in cardiac rehabilitation (CR). CEPs undertake multiple roles, including individualizing patient care to help restore or improve daily functioning in patients with heart disease. CEPs are equipped with a wide range of knowledge and skills for successful patient care and also have the skillset to propel career development to serve in leadership roles. The Million Hearts Cardiac Rehabilitation Collaborative (CRC) is working to achieve the goal of increasing enrollment to 70% CR participation in eligible patients. However, given the critical healthcare staffing shortage, the workforce poses a unique challenge to adequately staff clinics to improve access to CR, especially in historically marginalized rural and urban communities. PURPOSE: Describe the prevalence of CR programs that are solely staffed by CEPs and the job tasks they perform in the United States. METHODS CR program managers in the United States were sent an email invitation to participate in an electronic survey from the American Association of Cardiovascular and Pulmonary Rehabilitation. Depending on the participant’s responses, the final survey could be as few as 11 and up to 44 required multiple choice questions. RESULTS Among 297 CR programs that responded to the survey, 86% (n= 256) stated they staff a CEP and 12% (n= 30) stated their program is run entirely by CEPs. Among the programs run entirely by CEPs, the minimum degree for CEP staff was a bachelor’s in 93% (n= 28) and a master’s in 7% (n= 2). The ACSM clinical exercise physiology credential was preferred or required in 73% (n= 22) of programs. Job tasks performed by CEPs in these CR programs were provided patient education (100%), monitored ECG during exercise (100%), assessed patient symptoms (100%), screened patients entering CR (100%), measured blood pressure via auscultation (97%), measured blood glucose (97%), and administered supplemental oxygen (93%). CEPs can hold a leadership position in 83% (n= 25) of these institutions. CONCLUSIONS Leveraging the CEP practice patterns to serve as CR clinical leaders permits other health care professionals, such as nurses, to be used in other areas of health care. Although no formal framework exists on the educational preparation for a CEP career ladder, findings suggest that CEPs are competent to run and oversee CR programs. Innovative strategies to improve referral, enrollment, and retention of patients with heart disease into CR will require increases in CR capacity which can be filled by CEPs.

RECENT ADVANCES AND APPLICATIONS OF APRIORI ALGORITHM IN EXPLORING INSIGHTS FROM HEALTHCARE DATA PATTERNS

The growing accessibility of extensive healthcare datasets has highlighted the need for solid methods for discovering significant connections and trends that can guide clinical decision-making and management of healthcare practices. The Apriori algorithm, recognized for effectively detecting common item groups and connection rules, presents a hopeful method to tackle these issues. This paper explores the latest progress and real-world uses of the Apriori algorithm in analysing patterns in healthcare data. By thoroughly examining the literature and case studies, this paper proposes the Healthcare Analytics and Insight Framework (HAIF), in which the Apriori algorithm can find meaningful connections and trends in healthcare data. The information obtained by Apriori-based analysis can help improve individualized patient care, resource management, and predictive analytics, leading to better healthcare delivery and patient outcomes. Moreover, the research investigates several challenges and opportunities associated with utilizing the Apriori algorithm for medical data analysis. It highlights the need of interpretability, adaptability, and ethical concerns in examining healthcare data, underlining the importance of conscientious data handling and security protocols. This research offers essential information about how the Apriori algorithm can reveal valuable insights from patterns in healthcare data that can help improve data-driven medical decision-making and patient-focused care delivery strategies.

Chylothorax: pathophysiology, diagnosis, and management-a comprehensive review.

Chylothorax is a rare condition characterized by the accumulation of chyle in the pleural space. While it accounts for a small percentage of pleural effusions, chylothorax can lead to significant morbidity and mortality. This article provides a comprehensive overview of chylothorax, covering its relevant anatomy, aetiology, pathophysiology, clinical features, diagnosis, and management. Injury or disruption to the thoracic duct (which is responsible for chyle transport) leads to the development of chylothorax. This may result from trauma, such as iatrogenic injury during surgery, or non-traumatic causes, including malignancy, lymphatic disorders, and heart failure. Recognition of the underlying cause is essential to tailor management. Clinical presentation varies, with symptoms linked to rate of chyle accumulation and the causative condition. Diagnosis relies on pleural fluid analysis, with demonstration of elevated triglyceride levels (>110 mg/dL) and reduced cholesterol levels (<200 mg/dL) being the key diagnostic criteria employed in clinical practice. Various imaging modalities, including computed tomography (CT) scans and lymphatic-specific investigations, may be utilised to aid identification of the site of chyle leak, as well as determine the likely underlying cause. Chylothorax management is multifaceted, with conservative approaches such as dietary modification and pharmacological interventions often initiated as first-line treatment. Drainage of chylous effusion may be necessary for symptom relief. When conservative methods fail, interventional procedures like thoracic duct ligation or embolization can be considered. Due to the diverse aetiological factors and patient characteristics associated with chylothorax, individualized management strategies are recommended. Nonetheless, management of chylothorax is an evolving field with a paucity of high-quality evidence or standardized guidelines, highlighting the importance of ongoing research and a multidisciplinary approach to optimize individual patient care.

Retrospective Cohort Study on Determinants of Mechanical Ventilation Duration of COVID-19 ICU Patients.

Background In the face of the ongoing global health crisis posed by COVID-19, it becomes imperative to understand the disease's dynamics, particularly in specific regions. This study provides a detailed examination of the factors influencing mechanical ventilation (MV) duration among COVID-19 patients in an intensive care setting, focusing on a diverse patient cohort from the Al Hassa region of Saudi Arabia. The primary aim of this study was to identify key demographic factors, clinical outcomes, and comorbidities that affect the duration of MV among ICU patients with COVID-19. This understanding is crucial for enhancing patient care and informing healthcare strategies in the context of the pandemic. Methods A retrospective cohort study was conducted involving patients diagnosed with COVID-19 and admitted to the ICU in the Al Hassa region.The total number of participants was 1,259. Using a systematic sampling method, these participants were chosen to create a representative sample that reflects the prevailing treatment protocols in ICUs across these hospitals. Data encompassed patient demographics, comorbidities, clinical outcomes, and MV duration. Statistical analyses were employed to explore the associations between these variables. Results Our findings reveal a totalof 1,259 participants significant associations between MV duration and various factors, including nationality, legal status, travel history, and comorbidities like heart failure and immunocompromised status. These insights are instrumental in understanding the nuances of COVID-19 management in critical care. Conclusion The study provides valuable insights into the determinants of MV duration in severe COVID-19 cases, emphasizing the need for individualized patient care approaches. It highlights the complexity of managing COVID-19 in ICU settings and underscores the importance of tailored healthcare responses to this global health challenge, particularly in the Al Hassa region.

PATIENT DECISION MAKING ABOUT UTILIZATION OF TREATMENT AND MANAGEMENT METHODS: TOWARD ENHANCED PROMOTION OF PREVENTIVE SELF-MANAGEMENT FOR ULCERATIVE COLITIS

Abstract BACKGROUND Living with Ulcerative Colitis (UC) is accompanied by physical and psychosocial burdens that significantly detract from quality of life. To accommodate, individuals employ multiple treatment and management methods to mitigate gastrointestinal (GI) disease symptoms, reduce pharmaceutical dependence, and respond to the daily challenges of living with UC. This study examines why and how patients choose to utilize treatment and management methods, with emphasis on patient perspectives and experiences. METHODS Adults living with UC for at least 5 years, who had experienced at least one disease flare, were recruited to participate in individual, semi-structured qualitative interviews (N=21). Verbatim transcripts were thematically analyzed using emergent coding with Nvivo12®. RESULTS Decision making about the use of treatment and management methods was shaped by participants’ sources of information, attitudes toward self-management, and personal motivations. Participants rarely expressed feelings of personal responsibility for the unpredictable course of illness. However, some believed that they could, to varying degrees, take charge of their UC experience. A few individuals described an active approach to managing their illness through self-adjusting treatment methods, health behavior change, and self-advocacy towards satisfaction with treatment options and enhanced patient-provider communication. The poor quality of life associated with the daily burden of living with UC emerged as a primary motive for exploration and utilization of treatment and management methods. Participants drew conclusions about diet’s impact on disease activity by observation of immediate GI symptoms. While most patients aimed to mitigate UC symptoms by taking medications, reducing stress, and avoiding perceived ‘trigger’ foods, participants reported primarily utilizing treatment and management methods as reactive responses to flares instead of as preventive measures against disease activity and disease progression. DISCUSSION Results provide insight into patient decision making and may inform individualized patient care, improve patient-provider communication, and guide interdisciplinary efforts to support self-management among patients with UC. Findings highlight a need for greater focus on promoting preventive self-management lifestyle behaviors to protect against disease activity and progressive impairment. This research supports the promotion of disease prevention and self-management both inside and outside of the clinical setting.

An assessment of the relationship between body mass index and minor complications in percutaneous gastrostomy tubes.

The aim of our study was to determine if patients with obesity have different postoperative outcomes than their peers. A single-center retrospective review of all fluoroscopically-guided percutaneous gastrostomy tube, with 183 patients and 90 patients in the BAG and dilator groups, respectively. Patients were stratified, based on body mass index (BMI) percentile and for age. Demographic information and data on medical comorbidities and post-operative complications were collected. All analyses were conducted using Chi-square or Kruskal-Wallis testing. The median BMI was 26.6 kg/m2 with a standard deviation of 7.7. 106 (38.8%) patients were classified in the normal BMI category, 57 (20.9%) were overweight, and 50 (28.3%) were classified as obese. No major complications were reported in either group. 106 patients (38.8%) reported minor complications. The most common complication observed across both groups was procedural pain, with a higher incidence in the balloon group compared to the dilator group (17.5% vs. 12.2%). Dislodgement emerged as the second most common complication, occurring more frequently in the balloon group (12%) compared to the dilator group (6.7%). When considering weight categories, the overall rate of minor complications was highest among underweight patients (57.6%, P = 0.124). Both underweight and normal BMI patients showed a significantly higher incidence of tube dislodgement compared to other BMI categories (27.2% and 9.4%, respectively, P = 0.015). In a multivariable logistic regression, age was associated with an increased risk of minor complications (odds ratio [OR] 1.03, F [1.01, 1.05], P = 0.002). BAG had a greater OR for minor complication rate compared to dilator-assisted gastrostomy, although the difference was not statistically significant (OR 1.19, 95% confidence interval [0.69, 2.06]). Few studies have identified the relationship between BMI and complications related to gastrostomy tube placement. Our study highlights the importance of individualized care for patients across different BMI classes to minimize complications and improve patient outcomes.

Clinical Applications of Next-Generation Sequencing for Cancer Diagnostics and Targeted Cancer Therapy

Next-generation sequencing (NGS) is a revolutionary technology that has effectively sequence massive quantities of genomic DNA or RNA at a shorter time and a lower cost. The NGS is routinely used in oncology to tailor care for individual patient. In this review, we discuss the role of NGS how it can provide a more personalized approach to targeted cancer therapy. A literature review was conducted via PubMed and articles were screened for publication dates within the past 10 years. Primary literature consisting of clinical trials and review articles were utilized. Search terms included “(next-generation sequencing) AND (cancer)”, “(next-generation sequencing) AND (cancer diagnostics)”, and “(next-generation sequencing) AND “(cancer therapy)”.&#x0D; From the literature review, we found that NGS is indicated for daily practice as a diagnostic tool for advanced NSCLC, colon cancer, prostate cancer, cholangiocarcinoma, and some advanced rare cancers. We also found evidence suggesting that NGS is helpful in identifying actionable mutations that will, in turn, allow the patient to be matched to a more individualized cancer treatment.&#x0D; As oncology care continues to move in the direction of more personalized care, the potential applications of NGS in the field of oncology will continue to evolve. Our review will help further the understanding of NGS and provide context for its value in patient care and its ability to provide an avenue for targeted therapy.

Portable Nanopore sequencing solution for next-generation HIV drug resistance testing

BackgroundTackling HIV drug resistance is one of major challenges for ending AIDS epidemic, but the elevated expense of cutting-edge genomics hampers the advancement of HIV genotype testing for clinical care. MethodsWe developed a HIV genotype testing pipeline that centers on a cost-efficient portable Nanopore sequencer. Accuracy verification was conducted through comparison with parallel data obtained via fixed-site Pacbio sequencing. Our complete pol-gene sequencing strategy coupled with portable high-throughput sequencing was applied to identify drug resistance mutations across 58 samples sourced from the ART-treated Los Angeles General Medical Center Rand Schrader Clinic (LARSC) cohort (7 samples from 7 individuals) and the ART-naïve Center for HIV/AIDS Vaccine Immunology (CHAVI) cohort (51 samples from 38 individuals). ResultsA total of 472 HIV consensus sequences, each tagged with a unique molecular identifier, were produced from over 1.4 million bases acquired through portable Nanopore sequencing, which matched those obtained independently via Pacbio sequencing. With this desirable accuracy, we first documented the linkage of multidrug cross-resistance mutations across Integrase Strand Transfer inhibitors (INSTIs) and Non-Nucleoside Reverse Transcriptase Inhibitors (NNRTIs) from an individual failing a second-generation INSTI regimen. By producing more than 500 full-length HIV pol gene sequences in a single portable sequencing run, we detected Protease Inhibitor (PI), Nucleoside Reverse Transcriptase Inhibitor (NRTI), NNRTI and INSTI resistance mutations. All drug resistance mutations identified through portable sequencing were cross-validated using fixed-site Pacbio sequencing. ConclusionsOur accurate and affordable HIV drug resistance testing solution is adaptable for both individual patient care and large-scale surveillance initiatives.

Nomogram to predict 6-month mortality in acute ischemic stroke patients treated with endovascular treatment.

Acute Ischemic Stroke (AIS) presents significant challenges in evaluating the effectiveness of Endovascular Treatment (EVT). This study develops a novel prognostic model to predict 6-month mortality post-EVT, aiding in identifying patients likely to benefit less from this intervention, thus enhancing therapeutic decision-making. We employed a cohort of AIS patients from Shenyang First People's Hospital, serving as the Validation set, to develop our model. LASSO regression was used for feature selection, followed by logistic regression to create a prognostic nomogram for predicting 6-month mortality post-EVT. The model's performance was validated using a dataset from PLA Northern Theater Command General Hospital, assessing discriminative ability (C-index), calibration (calibration plot), and clinical utility (decision curve analysis). Statistical significance was set at p < 0.05. The development cohort consisted of 219 patients. Six key predictors of 6-month mortality were identified: "Lack of Exercise" (OR, 4.792; 95% CI, 1.731-13.269), "Initial TICI Score 1" (OR, 1.334; 95% CI, 0.628-2.836), "MRS Score 5" (OR, 1.688; 95% CI, 0.754-3.78), "Neutrophil Percentage" (OR, 1.08; 95% CI, 1.042-1.121), "Onset Blood Sugar" (OR, 1.119; 95% CI, 1.007-1.245), and "Onset NIHSS Score" (OR, 1.074; 95% CI, 1.029-1.121). The nomogram demonstrated a high predictive capability with a C-index of 0.872 (95% CI, 0.830-0.911) in the development set and 0.830 (95% CI, 0.726-0.920) in the validation set. Our nomogram, incorporating factors such as Lack of Exercise, Initial TICI Score 1, MRS Score 5, Neutrophil Percentage, Onset Blood Sugar, and Onset NIHSS Score, provides a valuable tool for predicting 6-month mortality in AIS patients post-EVT. It offers potential to refine early clinical decision-making and optimize patient outcomes, reflecting a shift toward more individualized patient care.

Machine learning-based prediction of abdominal aortic aneurysms for individualized patient care

ObjectiveThe United States Preventative Services Task Force guidelines for screening for abdominal aortic aneurysms (AAA) are broad and exclude many at risk groups. We analyzed a large AAA screening database to examine the utility of a novel machine learning (ML) model for predicting individual risk of AAA. MethodsWe created a ML model to predict the presence of AAAs (>3 cm) from the database of a national nonprofit screening organization (AAAneurysm Outreach). Participants self-reported demographics and comorbidities. The model is a two-layered feed-forward shallow network. The ML model then generated AAA probability based on patient characteristics. We evaluated graphs to determine significant factors, and then compared those graphs with a traditional logistic regression model. ResultsWe analyzed a cohort of 10,033 patients with an AAA prevalence of 2.74%. Consistent with logistic regression analysis, the ML model identified the following predictors of AAA: Caucasian race, male gender, advancing age, and recent or past smoker with recent smoker having a more profound affect (P < .05). Interestingly, the ML model showed body mass index (BMI) was associated with likelihood of AAAs, especially for younger females. The ML model also identified a higher than predicted risk of AAA in several groups, including female nonsmokers with cardiac disease, female diabetics, those with a family history of AAA, and those with hypertension or hyperlipidemia at older ages. An elevated BMI conveyed a higher than expected risk in male smokers and all females. The ML model also identified a complex relationship of both diabetes mellitus and hyperlipidemia with gender. Family history of AAA was a more important risk factor in the ML model for both men and women too. ConclusionsWe successfully developed an ML model based on an AAA screening database that unveils a complex relationship between AAA prevalence and many risk factors, including BMI. The model also highlights the need to expand AAA screening efforts in women. Using ML models in the clinical setting has the potential to deliver precise, individualized screening recommendations.

Prefrontal Cortex Oxygenation During Walking in an Acute Ischaemic Stroke Patient with Severe Internal Carotid Artery Stenosis: A Case Report.

This study investigated the oxygenation in the prefrontal cortex (PFC) during walking in a 75-year-old male patient in the acute phase of a left frontal lobe cerebral infarction complicated by severe left internal carotid artery stenosis. The patient regained independent ambulation on the fifth day after the onset of symptoms, and the study was conducted on the eighth day after the onset of symptoms. The patient rested for 10s before walking for 70s. Then he rested for 60s. The levels of oxyhaemoglobin (O2Hb), deoxyhaemoglobin (HHb), and total haemoglobin (THb) in the PFC were quantified during the rest and walking phases using a wearable near-infrared spectroscopy device. Comparative analysis with baseline values during rest revealed decreases in the O2Hb, HHb, and THb in both hemispheres of the PFC during walking (O2Hb: -19.76/ -14.88μmol/L, HHb: -1.18/ -2.00μmol/L, THb: -20.96/ -16.88μmol/L, right/left, respectively). The recovery of the O2Hb was delayed by 15.8seconds in the affected hemisphere. These findings support the effectiveness of wearable NIRS for the evaluation of cerebral oxygenation during rehabilitation in patients with acute stroke to facilitate evaluations and individualise patient care.

Neurooncology: 2024 update.

As in previous years, including 2023, a major focus in the neurooncological area of neuropathology was put on more precise and constantly faster diagnostic procedures, even reaching the level of ultra-fast intraoperative diagnostics based on methylation profiling. Neuropathological diagnostic precision and clinical follow-up treatment has been further increased by combining DNA methylation profiling with targeted panel sequencing. A few new, molecularly defined tumor subtypes have been proposed, among others, a glioneuronal tumor with ATRX alteration, kinase fusion and anaplastic features (in its abbreviated form named GTAKA) and the de novo replication repair deficient glioblastoma, IDH-wildtype both having either distinct prognostic or therapeutic implications. Regarding the understanding of brain tumor development and progression, several novel mechanisms have been presented which might also be considered as treatment targets in the future, such as a) autonomous rhythmical Ca2+ oscillations in interconnected glioma cell networks driving tumor growth; b) transfer of mitochondria from normal astrocytes to glioma cells enhancing proliferation and self-renewal; c) brain endothelial cell remodeling upon matrix-metalloprotease 9 secretion by tumor cells metastasizing into the CNS and d) anti-tumor activity of microglia in CNS metastasis of breast cancer. Finally, in contrast to previous years, several very promising neurooncological treatment studies have been conducted, focusing on specific targets such as H3K27M or IDH1/2 mutations for which a proper neuropathological assessment is key. The continuous translation of potential new treatment targets using faster and precise diagnostic procedures will further pave the way for better individualized clinical care of neurooncological patients.

Neurooncology: 2024 update.

As in previous years, including 2023, a major focus in the neurooncological area of neuropathology was put on more precise and constantly faster diagnostic procedures, even reaching the level of ultra-fast intraoperative diagnostics based on methylation profiling. Neuropathological diagnostic precision and clinical follow-up treatment has been further increased by combining DNA methylation profiling with targeted panel sequencing. A few new, molecularly defined tumor subtypes have been proposed, among others, a glioneuronal tumor with ATRX alteration, kinase fusion and anaplastic features (in its abbreviated form named GTAKA) and the de novo replication repair deficient glioblastoma, IDH-wildtype both having either distinct prognostic or therapeutic implications. Regarding the understanding of brain tumor development and progression, several novel mechanisms have been presented which might also be considered as treatment targets in the future, such as a) autonomous rhythmical Ca2+ oscillations in interconnected glioma cell networks driving tumor growth; b) transfer of mitochondria from normal astrocytes to glioma cells enhancing proliferation and self-renewal; c) brain endothelial cell remodeling upon matrix-metalloprotease 9 secretion by tumor cells metastasizing into the CNS and d) anti-tumor activity of microglia in CNS metastasis of breast cancer. Finally, in contrast to previous years, several very promising neurooncological treatment studies have been conducted, focusing on specific targets such as H3K27M or IDH1/2 mutations for which a proper neuropathological assessment is key. The continuous translation of potential new treatment targets using faster and precise diagnostic procedures will further pave the way for better individualized clinical care of neurooncological patients.

Physician Burnout: Evidence-Based Roadmaps to Prioritizing and Supporting Personal Wellbeing.

Current literature validates the magnitude of physician burnout as a complex challenge affecting physicians, patients, and healthcare delivery that mandates science-informed intervention. Physician burnout affects both individual practitioners and patient care delivery. Interventions, defined as roadmaps, to prioritizing and supporting personal wellbeing encompass organizational, individual, and moral injury, with virtually no consensus on optimal approaches. The purpose of this conceptual review is to present evidence-based innovative insights on contributing factors, mitigation, and designing adaptive systems to combat and prevent burnout. Science-informed policy initiatives that support long-term organizational changes endorsed by both leadership and institutional stakeholders are keys to sustaining personal wellbeing and ending burnout.