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Assessment of Time to Analgesia and Sedation Post-Intubation in the Emergency Department Across a Large Community Hospital
https://scholarlycommons.baptisthealth.net/bhsf-academic-week-2025/1009/thumbnail.jp
Examining the associations of social vulnerability with hospital outcomes and readmission in individuals with chronic obstructive pulmonary disease (COPD).
https://scholarlycommons.baptisthealth.net/bhsf-academic-week-2025/1025/thumbnail.jp
Workplace Violence: Clinical Nurse Impacts Feeling Safe through Evidence-Based Practice
https://scholarlycommons.baptisthealth.net/bhsf-academic-week-2025/1106/thumbnail.jp
Integrating Machine Learning into Healthcare: Enhancing Predictive Analytics for Patient Outcomes
https://scholarlycommons.baptisthealth.net/bhsf-academic-week-2025/1221/thumbnail.jp
Mycobacterium immunogenum-Induced Thrombocytopenia
Mycobacterium immunogenum is a fast-growing non-tuberculous mycobacterium often found in soil, water, and aerosols. It primarily affects immunocompromised individuals. One common area of infection is the pulmonary system, but lymph nodes, bones, and joints are also commonly involved. We report a case of a young female with a two-year history of lymphadenopathy who developed thrombocytopenia with petechiae, bruising, and mucosal bleeding. Initially, she had a positron emission tomography/computed tomography (PET/CT) scan showing elevated standardized uptake value concerning for malignancy, but a biopsy shortly after revealed more of a reactive follicular hyperplastic etiology. Her platelet count was severely low (3 K/uL) and a diagnosis of immune (idiopathic) thrombocytopenic purpura (ITP) was made. After numerous negative tests, a Karius test was performed for possible infectious etiology, which revealed Mycobacterium immunogenum. The patient responded well to intravenous immunoglobulin and was managed outpatient without complications. This case highlights the rare association of Mycobacterium immunogenum with ITP. There are studies that relate the occurrence of ITP in patients with Mycobacterium tuberculosis, another bacterium of similar taxonomy to Mycobacterium immunogenum. This case report is significant because there is limited research on the complications of Mycobacterium immunogenum, particularly its relationship to ITP. Given the lack of information regarding this association, this report serves as a catalyst for further research into identifying potential rare causes of ITP
Actigraphy-based sleep disruption and diurnal biomarkers of autonomic function in paroxysmal atrial fibrillation
Introduction Sleep architectural disruption is associated with atrial fibrillation (AF); however, associated autonomic influences remain unclear and it is unknown if this detriment persists during wakefulness. We hypothesize sleep disruption and autonomic dysfunction have diurnal patterning in patients with paroxysmal AF. Methods We analyzed data from the Sleep Apnea and Atrial Fibrillation Biomarkers and Electrophysiologic Atrial Triggers (SAFEBEAT) study designed to examine paroxysmal AF and sleep apnea, including simultaneous collection of continuous electrocardiogram monitoring (Heartrak Telemetry®) and actigraphy (Actiwatch GTX) for 7–21 days. Heart rate variability (HRV) measures in time-domain (standard deviation of normal-to-normal (NN) intervals (SDNN), coefficient of variation (CV)) and frequency-domain (low frequency power (LFP), high frequency power (HFP)) were used as surrogates of autonomic function and averaged per sleep/wake per day. A linear mixed-effects model assuming compound symmetry correlation structure was used to assess the relationship of HRV with actigraphy-derived sleep data. Results The analytic sample (age 60.1 ± 12.0 years, body mass index 32.6 ± 6.7 kg/m2, 36% female, 75% White) included 100 participants with paroxysmal AF. Longer sleep latency was associated with lower HFP during wakefulness (coefficient − 0.0501, p = 0.031). Higher sleep efficiency was associated with increased SDNN (coefficient 0.0007, p = 0.014) and CV (coefficient 0.0167, p = 0.047). Higher arousal index was associated with increased CV (coefficient 0.0166, p = 0.007) and LFP (coefficient 0.0232, p = 0.003). During sleep, longer average awakenings duration was associated with increased LFP/ HFP ratio (coefficient 0.1977, p \u3c 0.001) and reduced HFP (coefficient − 0.1338, p \u3c 0.001). Significant sleep-wake interactions were observed for sleep latency with HFP (p = 0.024), sleep efficiency with SDNN and CV (both p \u3c 0.01), WASO with SDNN, CV, and LFP (all p \u3c 0.05), and frequency of awakenings with CV and LFP (both p \u3c 0.05). Conclusions Actigraphy-based measures of sleep disruption were associated with autonomic function alterations exhibiting diurnal variability in paroxysmal AF. Greater overall HRV and parasympathetic modulation were related to better sleep quality. Increased sympathetic activation was associated with sleep fragmentation. Results provide insights into differential autonomic dysfunction related to sleep disruption that may contribute to atrial arrhythmogenesis
Development and validation of a new formula to predict standard pancreas volume in Chinese adults using body surface area
Background: Changes in pancreas volume have been reported in many disorders. In clinical practice, pre-disease total pancreas volume (TPV) is often unavailable for patients with pancreatic pathologies (e.g., tumors, cysts, or pancreatitis), as prior imaging may not exist or may reflect abnormal volumes. While three-dimensional (3D) computed tomography (CT) reconstruction provides accurate TPV measurements, its utility is limited in these scenarios, necessitating a predictive formula. However, no widely clinically accepted standard pancreas volume (SPV) formula currently exists. This study aims to develop an SPV prediction formula based on 3D CT reconstruction and the characteristics of Chinese adults.
Methods: The TPV of 377 Chinese adults were obtained via CT 3D reconstruction estimation, 287 of whom were used to construct the formula and 90 of whom were used to validate the formula. The associations of age, gender, weight, height, body mass index (BMI), and body surface area (BSA) with TPV were assessed using Pearson correlation analysis. Stepwise multiple linear regression analysis was used to identify the independent correlation factors that could predict TPV.
Results: Age, gender, weight, height, BMI, and BSA significantly correlated with TPV. In addition, stepwise multiple linear regression showed that BSA was the only independent correlation factor for TPV. Therefore, BSA was used as the factor in the following formula for calculating SPV: SPV (cm3) = 52.40 × BSA (m2) - 21.33 (R2=0.384).
Conclusions: We created a BSA-based formula to predict SPV in Chinese adults. It can be used to evaluate pancreas volume changes in patients with diabetes or other pancreatic diseases
Consortium for Intracranial Metastasis Academic Research (CIMARa): Global interdisciplinary collaborations to improve outcomes of patient with brain metastases
Brain metastases (BrM) arising from solid tumors is an ever-increasing and often devastating clinical challenge impacting hundreds of thousands of patients annually worldwide. As systemic anticancer therapies, and thus survival, improve, the risk for central nervous system (CNS) recurrence has increased. Historically, patients with BrM were excluded from clinical trials; however, there has been a shift toward increasing inclusion over the past decade. To most effectively design the next generation of clinical trials for patients with BrM, a multidisciplinary team spanning local and systemic therapies is imperative. CIMARa (Consortium for Intracranial Metastasis Academic Research), formalized in June 2021, is an inclusive group of multidisciplinary clinical investigators, research scientists, and advocates who share the collective goal of improving outcomes for patients with BrM. CIMARa aims to improve outcomes through the development, coordination, and awareness of multi-institutional clinical trials testing novel therapeutic agents for this unique patient population alongside the translation of preclinical research to the clinical setting