Clinical Biomarkers of Acute Vaso-Occlusive Sickle Cell Crisis.

It is known that an inherited blood condition called sickle cell disease (SCD) is a result of one gene. A number of blood and urine biomarkers have been determined in association with lab and clinical history for SCD patients. SCD has numerous interacting pathways associated with it, which have been identified by biomarkers. These mechanisms consist of some examples, such as endothelial vasodilation response, hypercoagulability, hemolysis, inflammation, oxidative stress, vascular dysfunction, and reperfusion injury among others. To effectively manage SCD, a comprehensive panel of validated blood and urine biomarkers must be established. Despite its monogenic inheritance, the complex nature of the SCD phenotype has impeded progress in its treatment. However, significant strides have been made in clinical biotechnology, paving the way for potential breakthroughs. In SCD, a panel of verified blood and urine biomarkers must be established, however. Despite monogenic inheritance, the great complexity of the SCD phenotype has hindered progress in its management. With few exceptions, clinical biomarkers of illness severity have been found through epidemiological investigations; nevertheless, systematic integration of these biomarkers into clinical treatment algorithms has not occurred. Furthermore, sickle cell crisis, the primary acute consequence of SCD, has been difficult to diagnose with the biomarkers now in use. Inadequate care and a lack of appropriate outcome measures for clinical research are the consequences of these diagnostic constraints. A new chapter in SCD customized treatment has begun with recent advancements in molecular and imaging diagnostics. Strategies in precision medicine are especially relevant now that molecular therapies are within reach. The significance of biochemical indicators linked to clinical manifestation and sub-phenotype identification in SCD is reviewed in this research.

Navigating the Frontier: Emerging Techniques for Detecting Microvascular Complications in Type 2 Diabetes Mellitus: A Comprehensive Review.

This review comprehensively explores emerging techniques for detecting microvascular complications in Type 2 Diabetes Mellitus (T2DM), addressing the critical need for advancements in early detection and management. As T2DM continues to rise globally, microvascular complications, including retinopathy, nephropathy, and neuropathy, contribute significantly to the morbidity and mortality associated with the condition. The review synthesizes key findings, revealing various emerging technologies, from advanced imaging modalities to genomic and proteomic approaches. It underscores the potential for personalized medicine, emphasizing the importance of tailoring diagnostic strategies to individual patient profiles. Challenges, including the lack of standardized criteria and issues related to patient adherence, highlight the necessity for collaborative efforts. The conclusion issues a call to action, advocating for enhanced collaboration, increased research investment, patient empowerment through education, and seamless integration of emerging diagnostic techniques into routine clinical care. The review envisions a transformative shift in detecting and managing microvascular complications in T2DM, ultimately improving patient outcomes and contributing to a healthier future for individuals affected by this prevalent metabolic disorder.

The influence of heart failure high-fidelity simulation education based on NLN Jeffries simulation framework in the prelicensure nursing program: A quasi-experimental study.

Objectives: To examine the influence of heart failure high-fidelity simulation education based on the National League for Nursing (NLN) Jeffries Simulation Framework in prelicensure nursing education. Methods: A heart failure high-fidelity simulation (HFHFS) education pilot project was carried out at Carrington College Sacramento. Twenty-three students participated in the study. This study used a quasi-experimental design. Students' Self-Efficacy, Satisfaction, and Knowledge in Heart Failure Clinical Knowledge were measured pre- and post-HFHFS education. Results: The results of the high-fidelity simulation education for heart failure showed that students achieved a mean score of 45.39 (SD = 7.88) in self-efficacy, 18.70 (SD = 3.38) in satisfaction, and 64.09 (SD = 10.86) in knowledge after the intervention. The paired-sample t-test significantly improved between the pre- and post-intervention scores (P < 0.001). The students highly rated self-efficacy, student satisfaction, and knowledge because of the positive impact on the teaching effectiveness of simulation design (i.e., objectives, problem-solving, student support, fidelity, debriefing) activity that included the application of quality safety education for nurses (QSEN) three competencies safety, patient-centered care, and teamwork and collaboration during nursing care for patients with acute heart failure. The teaching effectiveness of the heart failure high-fidelity simulation education is closely correlated with student satisfaction, self-efficacy, and improvement of participant knowledge in clinical nursing skills performance and critical thinking. Conclusion: A heart failure high-fidelity simulation education established upon the National League for Nursing (NLN) Jeffries framework enhanced student knowledge, satisfaction, self-efficacy, application of safety, patient-centered care, and teamwork and collaboration. Nurse educators should consider simulation planning to include the five simulation design characteristics, i.e., objectives, problem-solving, student support, fidelity, and debriefing, while integrating safety, patient-centered care, and teamwork and collaboration to bring about education effectiveness.

Erythema Multiforme: Unveiling the Unusual Effect of an Ayurvedic Medication 'Jambavasa' Used in the Treatment of Type 2 Diabetes Mellitus.

Erythema multiforme (EM) is a rare immune-mediated condition that can manifest as cutaneous, mucosal, or both types of lesions. The target lesion, with concentric zones of color change, is a cutaneous feature that is typical of this illness. Despite the fact that a number of factors can lead to EM, the most common being Herpes simplex virus (HSV) infection, drug-induced EM is a rare entity. As disease severity and mucosal involvement vary across individuals, treatment should be optimized for each patient, considering the risk versus benefit ratio. To distinguish EM from other clinical imitators and to confirm the diagnosis, histopathologic tests and other laboratory procedures may be utilized. Our patient presented with symptoms suggestive of a viral infection, such as fever and rash, but the RTPCR report for various viral infections came out to be negative, hence indicative of the diagnosis of drug-induced erythema multiforme.

Serum Lactate-Albumin Ratio: Soothsayer for Outcome in Sepsis.

AIM: The aim of this study is to assess the efficacy of the serum lactate/albumin (L/A) ratio as a prognostic marker of sepsis syndrome. MATERIALS AND METHODS: This study was conducted in the Internal Medicine Department at Acharya Vinoba Bhave Rural Hospital with a sample size of 160 cases of sepsis. The serum L/A ratio was calculated on admission and correlated with deaths and morbidity. Statistical analysis was significant if the P-value was less than 0.05. RESULTS: The mean age of patients was 52.83 ± 16.80 years with a male predominance (64.4% vs. 35.6%). The mean L/A ratio was 0.95 ± 0.46. The proportion of discharged subjects and mortality were 58.8% and 41.2%, respectively. The study found that a higher mean L/A ratio (1.1-1.44) was significantly linked to the various variables in the study. Furthermore, a significantly higher median L/A ratio of 1.23 was found in subjects with vasopressor use. The median L/A ratio in the Discharge group and Death group was 0.64 and 1.27, respectively. The area under the receiver operating characteristic (AUROC) curve indicated that accurate diagnostic performance was 0.976 in predicting Death versus Discharge for the L/A ratio. CONCLUSION: This study found that, compared to lactate and albumin alone, the predictor value of the L/A ratio was outstanding in predicting death and hospital stay (discharge) among sepsis participants, with a sensitivity of 100% and a specificity of 88%.

Augmented Reality Demonstration Survey Results From a Veteran Affairs Medical Center.

Background: Augmented reality (AR) has a wide range of potential applications to enhance health care. Understanding how the introduction of a new technology may impact employees is essential for overall health care system success. Methods: Survey responses were obtained before and after a health care-focused interactive AR demonstration at a US Department of Veterans Affairs (VA) medical center. Data were assessed with descriptive statistics, Wilcoxon signed rank matched pairs test, pooled t test, and analysis of variance. Results: A total of 166 individuals participated in the demonstration and survey. Statistically significant improvements were seen after the use of the new AR technology in each of the categories assessed using a 5-point Likert scale. Scores for perceptions of institutional innovativeness increased from 3.4 to 4.5 (a 22% increase; P < .001); employee excitement about the VA increased from 3.7 to 4.3 (a 12% increase; P < .001); and employee likelihood to continue working at VA increased from 4.2 to 4.5 (a 6% increase; P < .001). Subgroup analysis demonstrated statistically significant differences by employee veteran status, VA tenure, and sex. Respondents felt strongly that this type of work will positively impact health care and that the VA should continue these efforts. Conclusions: An AR demonstration significantly increased employee excitement and intention to continue employment at the VA and provided valuable insights about the most impactful uses of AR in health care.

Superior Mesenteric Artery Stenosis Presenting as Chest Pain: Danger in Disguise.

Chronic mesenteric ischemia (CMI), often known as abdominal angina, is a syndrome caused by a severe reduction in arterial flow to the digestive loops. It is an uncommon and underdiagnosed entity with potential severe adversities, such as acute mesenteric ischemia (AMI). Patients with coronary artery disease (CAD) are shown to also have mesenteric artery stenosis (MAS). By identifying risk variables, it may be possible to screen for mesenteric artery involvement in patients with CAD who exhibit an elevated risk. Here, we present a unique case of a person with severe retrosternal chest pain with postprandial angina, which turned out to be superior mesenteric artery (SMA) ostial stenosis.

A Case of Gastric Diverticulum Presenting As Upper Gastrointestinal Bleeding in Rural Central India.

Gastric diverticula (GD) are the least prevalent type of gastrointestinal diverticula and are extremely uncommon anatomical anomalies in general. Although the majority of GD cases are asymptomatic and are identified by chance during normal diagnostic testing, they can manifest with a variety of symptoms. In some instances they can lead to life-threatening problems, necessitating surgical intervention. The majority of gastric diverticula go unnoticed. Upper abdomen pain, nausea, emesis, and dyspepsia are the most prevalent symptoms. Patients with GD can present with dramatic symptoms such as major bleeding or perforation on rare occasions. We report a rare case of a 60-year-old male, who presented with a complaint of haematemesis, and upon doing endoscopy and contrast-enhanced computed tomography of the abdomen was diagnosed with GD. The patient was managed successfully with proton pump inhibitor infusion and somatostatin analogs and was discharged in stable condition. Here, we highlight a rare but potentially life-threatening cause of hematemesis which is often missed by treating clinicians, especially in rural and remote areas, and therefore, requires more awareness and clinical vigilance.

Lightning Strike-Induced Myocarditis.

Lightning strikes are frequently encountered and are a major cause of morbidity and mortality. It could impair several organs, but the effects of electric current on the cardiovascular system contribute to the primary cause of cardiorespiratory arrest. These effects can be either transient or persistent, ranging from benign or life-threatening arrhythmias, ischemic injury, myocardial contusion, aortic injury, cardiomyopathy, and ventricular failure. Myocarditis has been an important but not very well-understood cause of cardiac dysfunction. Fulminant myocarditis is defined as patients presenting with severe heart failure, having a duration of <2 weeks of symptoms, and requiring inotropic or mechanical circulatory support. This condition can rapidly lead to hemodynamic instability and death. Resuscitation for a longer time increases the probability of favorable outcomes in young and previously healthy patients. This case report accounts for a case of a healthy young male who was struck by lightning while working on the farm and developed electrocardiographic changes along with positive cardiac biomarkers.

Data acquisition process for VA and non-VA emergency department and hospital utilization by veterans with spinal cord injury and disorders in California using VA and state data.

Context: To identify VA and non-VA Emergency Department (ED) and hospital utilization by veterans with spinal cord injury and disorders (SCI/D) in California.Design: Retrospective cohort study.Setting: VA and Office of Statewide Health Planning and Development (OSHPD) in California.Participants: Total 300 veterans admitted to the study VA SCI/D Center for initial rehabilitations from 01/01/1999 through 08/17/2014.Interventions: N/A.Outcome Measures: Individual-level ED visits and hospitalizations during the first-year post-rehabilitation.Results: Among 145 veterans for whom ED visit data available, 168 ED visits were identified: 94 (55.2%) at non-VA EDs and 74 (44.8%) at the VA ED, with a mean of 1.16 (±2.21) ED visit/person. Seventy-seven (53.1%) veterans did not visit any ED. Of 68 (46.9%) veterans with ≥ one ED visit, 20 (29.4%) visited the VA ED only, 34 (50.0%) visited non-VA EDs only, and 14 (20.6%) visited both VA and non-VA EDs. Among 212 Veterans for whom hospitalization data were available, 247 hospitalizations were identified: 82 (33.2%) non-VA hospitalizations and 165 (66.8%) VA hospitalization with a mean of 1.17 (±1.62) hospitalizations/person. One hundred-seven (50.5%) veterans had no hospitalizations. Of 105 veterans with ≥ one hospitalization, 58 (55.2%) were hospitalized at the study VA hospital, 15 (14.3%) at a non-VA hospital, and 32 (30.5%) at both VA and non-VA hospitals.Conclusion: Non-VA ED and hospital usage among veterans with SCI/D occurred frequently. The acquisition of non-VA healthcare data managed by state agencies is vital to accurately and comprehensively evaluate needs and utilization rates among veteran populations.

Atlantooccipital Assimilation and Basilar Invagination Treated Successfully in a Young Male With Marfanoid Features: A Stitch in Time.

Marfan syndrome is a spectrum of disorders caused by a genetic defect involving connective tissue and is heritable by the autosomal dominant mode of inheritance. Atlantooccipital assimilation is a partial or complete fusion of the atlas and the occiput base congenitally. Although primarily asymptomatic, some patients with atlantooccipital assimilation may present with neurological issues, including myelopathy. Here, we are discussing a case of an 18-year-old male who presented with bilateral paraesthesia, tingling and neck pain which, upon investigations, turned out to be a case of atlantooccipital assimilation along with basilar invagination with spinal cord compression. The patient also had marfanoid features like tall stature, reduced upper to lower segment ratio, and increased arm span to height with positive wrist and thumb signs. As myelopathy had already developed, the patient was treated surgically rather than with medical management with a favorable outcome.

Acute Pancreatitis Complicating a Case of Dengue Fever: Double Trouble.

Dengue has emerged as an alarming concern exhausting the already tired healthcare professionals during the ongoing pandemic of COVID-19. There has been an epidemic of dengue fever with massive underreporting; this might be a result of limited resources as well as the inability to reach healthcare facilities as a consequence of reluctance seen in patients due to the scare of COVID-19. Acute pain in the abdomen has been an alarming sign of dengue; however, its association with acute pancreatitis is rare. We report a case of a 21-year-old young male with fever, vomiting, and pain in the abdomen who was diagnosed with acute pancreatitis as a complication of dengue infection. We highlight the importance of screening for acute pancreatitis in patients with dengue presenting with pain in the abdomen as it may be a rare but important complication of dengue fever.

Snake Bite and Dengue: A Twin Tragedy.

Dengue is a viral infection caused by the arboviridae family of viruses and is transmitted by the vector, a mosquito with the scientific name Aedes egyptii. The fever caused by the Dengue virus is best labelled as Break Bone fever because of the severe myalgia that accompanies the infection. Snakebite is also a global health problem. Mostly seen in tropical countries and countries with agriculture as the backbone of the economy, it has a varied presentation in such extremes that it can go from a very mild course of disease not requiring antidote administration to life-threatening complications of respiratory muscles paralysis, coagulopathy, and rhabdomyolysis leading to acute kidney injury based on the nature of the venom of the snake. Here, we report a case of snakebite who was also battling a concurrent Dengue infection thus complicating the management of the patient.

Risk Factors for Readmissions After Total Joint Replacement: A Meta-Analysis.

¼: We performed a systematic review and meta-analysis of predictive modeling studies examining the risk of readmission after total hip arthroplasty (THA) and total knee arthroplasty (TKA) in order to synthesize key risk factors and evaluate their pooled effects. Our analysis entailed 15 compliant studies for qualitative review and 17 compliant studies for quantitative meta-analysis. ¼: A qualitative review of 15 predictive modeling studies highlighted 5 key risk factors for risk of readmission after THA and/or TKA: age, length of stay, readmission reduction policy, use of peripheral nerve block, and type of joint replacement procedure. ¼: A meta-analysis of 17 studies unveiled 3 significant risk factors: discharge to a skilled nursing facility rather than to home (approximately 61% higher risk), surgery at a low- or medium-procedure-volume hospital (approximately 26% higher risk), and the presence of patient obesity (approximately 34% higher risk). We demonstrated clinically meaningful relationships between these factors and moderator variables of procedure type, source of data used for model-building, and the proportion of male patients in the cohort. ¼: We found that many studies did not adhere to gold-standard criteria for reporting and study construction based on the PRISMA (Preferred Reporting Items for Systematic reviews and Meta-Analyses) and NOS (Newcastle-Ottawa Scale) methodologies. ¼: We recommend that these risk factors be considered in clinical practice and future work alike as they relate to surgical, discharge, and care decision-making. Future work should also prioritize greater observance of gold-standard reporting criteria for predictive models.

A Pilot Randomized Controlled Trial of Interval Training and Sleep Hygiene for Improving Sleep in Older Adults.

The primary objective of this pilot randomized controlled trial was to study the feasibility (recruitment and retention rates) for interval training and sleep hygiene (SH) in adults aged above 60 years. Thirteen out of 46 screened individuals from a home for older adults in Shirdi (Maharashtra, India) were randomly assigned by permuted block randomization to either an interval training with SH group (n = 6) or an SH alone group (n = 7). The authors measured sleep with the S+ sleep monitor manufactured by ResMed (USA) Pittsburgh Sleep Quality Index and quality of life with Short Form-12 health survey version 2. Interval training consisted of 8 weeks of stationary cycling, whereas SH consisted of lecture and handouts. Recruitment was 38.2%, retention was >80% for both the interventions, and there was one loss to follow-up in SH. Interval training and SH were feasible for older adults and supported a full-scale randomized controlled trial.

Association of mortality and aspirin prescription for COVID-19 patients at the Veterans Health Administration.

There is growing evidence that thrombotic and inflammatory pathways contribute to the severity of COVID-19. Common medications such as aspirin, that mitigate these pathways, may decrease COVID-19 mortality. This retrospective assessment was designed to quantify the correlation between pre-diagnosis aspirin and mortality for COVID-19 positive patients in our care. Data from the Veterans Health Administration national electronic health record database was utilized for the evaluation. Veterans from across the country with a first positive COVID-19 polymerase chain reaction lab result were included in the evaluation which comprised 35,370 patients from March 2, 2020 to September 13, 2020 for the 14-day mortality cohort and 32,836 patients from March 2, 2020 to August 28, 2020 for the 30-day mortality cohort. Patients were matched via propensity scores and the odds of mortality were then compared. Among COVID-19 positive Veterans, preexisting aspirin prescription was associated with a statistically and clinically significant decrease in overall mortality at 14-days (OR 0.38, 95% CI 0.32-0.46) and at 30-days (OR 0.38, 95% CI 0.33-0.45), cutting the odds of mortality by more than half. Findings demonstrated that pre-diagnosis aspirin prescription was strongly associated with decreased mortality rates for Veterans diagnosed with COVID-19. Prospective evaluation is required to more completely assess this correlation and its implications for patient care.

Risk Factors for Readmission After Knee Arthroplasty Based on Predictive Models: A Systematic Review.

BACKGROUND: An increase in the aging yet active US population will continue to make total knee arthroplasty (TKA) procedures routine in the coming decades. For such joint procedures, the Centers for Medicare and Medicaid Services introduced programs such as the Comprehensive Care for Joint Replacement to emphasize accountable and efficient transitions of care. Accordingly, many studies have proposed models using risk factors for predicting readmissions after the procedure. We performed a systematic review of TKA literature to identify such models and risk factors therein using a reliable appraisal tool for their quality assessment. METHODS: Five databases were searched to identify studies that examined correlations between post-TKA readmission and risk factors using multivariate models. We followed the Preferred Reporting Items for Systematic Reviews and Meta-Analysis methodology and Transparent Reporting of a multivariate prediction model for Individual Prognosis Or Diagnosis criteria established for quality assessment of prognostic studies. RESULTS: Of 29 models in the final selection, 6 models reported performance using a C-statistic, ranging from 0.51 to 0.76, and 2 studies used a validation cohort for assessment. The average 30-day and 90-day readmission rates across the studies were 5.33% and 7.12%, respectively. Three new significant risk factors were discovered. CONCLUSIONS: Current models for TKA readmissions lack in performance measurement and reporting when assessed with established criteria. In addition to using new techniques for better performance, work is needed to build models that follow the systematic process of calibration, external validation, and reporting for pursuing their deployment in clinical settings.

Predictive models for identifying risk of readmission after index hospitalization for hip arthroplasty: A systematic review.

BACKGROUND: An aging United States population profoundly impacts healthcare from both a medical and financial standpoint, especially with an increase in related procedures such as Total Hip Arthroplasty (THA). The Hospital Readmission Reduction Program and Comprehensive Care for Joint Replacement Program incentivize hospitals to decrease post-operative readmissions by correlating reimbursements with smoother care transitions, thereby decreasing hospital burden and improving quantifiable patient outcomes. Many studies have proposed predictive models built upon risk factors for predicting 30-day THA readmissions. QUESTIONS: (1) Are there validated statistical models that predict 30-day readmissions for THA patients when appraised with a standards-based, reliable assessment tool?. (2) Which evidence-based factors are significant and have support across models for predicting risk of 30-day readmissions post-THA? METHODS: Five major electronic databases were searched to identify studies that examined correlations between post-THA readmission and risk factors using multivariate models. We rigorously applied the PRISMA methodology and TRIPOD criteria for assessment of the prognostic studies. RESULTS: We found 26 studies that offered predictive models, of which two presented models tested with validation cohorts. In addition to the many factors grouped into demographic, administrative, and clinical categories, bleeding disorder, higher ASA status, discharge disposition, and functional status appeared to have broad and significant support across the studies. CONCLUSIONS: Reporting of recent predictive models establishing risk factors for 30-day THA readmissions against the current standard could be improved. Aside from building better performing models, more work is needed to follow the thorough process of undergoing calibration, external validation, and integration with existing EHR systems for pursuing their use in clinical settings. There are several risk factors that are significant in multiple models; these factors should be closely examined clinically and leveraged in future risk modeling efforts.

Combining Structured and Unstructured Data for Predicting Risk of Readmission for Heart Failure Patients.

Researchers have studied many models for predicting the risk of readmission for heart failure over the last decade. Most models have used a parametric statistical approach while a few have ventured into using machine learning methods such as statistical natural language processing. We created three predictive models by combining these two techniques for the cohort of 1,629 patients from six hosptials using structured data along with their 136,963 clinical notes till their index admission, stored in the EMR system over five years. The AUCs for structured and combined models were very close (0.6494 and 0.6447) and that for the unstructured model was 0.5219. The clinical impact of the models using decision curve analysis showed that, at a threshold predicted probability of 0.20, the combined model offered 15%, 30%, and 70% net benefit over its individual counterparts, treat-all, and treat-none strategy respectively.