Medical Center Research Articles

Phenotypic and genotypic analysis of antimicrobial resistance and population structure of gastroenteritis-related Aeromonas isolates

BackgroundThe population structure and the correlation between antimicrobial resistance (AMR) phenotypes and genotypes in Aeromonas species isolated from patients with gastroenteritis are not well understood. The aims of the study were to: (1) investigate the antimicrobial susceptibility profiles of Aeromonas species isolated from patients with gastroenteritis; (2) explore the relationship between AMR genes and resistance phenotypes; and (3) describe the population structure of these isolates and provide evidence of transmission events among them.MethodsThis microbiological survey was performed at the Microbiology Laboratory of the Emek Medical Center in Afula, Israel. Cultivation of Aeromonas was attempted from stool samples that tested positive by PCR. Antimicrobial susceptibility testing (AST) was performed using the Sensititre GN3F microdilution panel. Whole genome sequencing (WGS) was done using the Illumina NextSeq500/550 system. Phylogenetic studies involved multi-locus sequence typing (MLST) and core genome (cg) MLST. Resistance mechanisms were identified using the Comprehensive Antibiotic Resistance Database and compared with the AST results.ResultsThe study included 67 patient-unique isolates. The species that were identified included A. caviae (n = 58), A. dhakensis (n = 3), A. media (n = 2), A. veronii (n = 2) and A. hydrophila (n = 2). Isolates were almost uniformly susceptible to amikacin, gentamicin, aztreonam, cefepime, ceftazidime, ciprofloxacin and meropenem. All isolates with the exception of 1–2 isolates were resistant to ampicillin, cefazolin and ampicillin-sulbactam which was compatible with the presence of the blaOXA genes. Variable resistance rates were observed to cefuroxime, cefoxitin, ceftriaxone, piperacillin-tazobactam that were not correlated with the presence of other β-lactamase genes. Resistance to tetracycline and trimethoprim-sulfamethoxazole correlated with the presence of tetA and sul1, respectively. The population structure of A. caviae was highly diverse with the minority of the isolates (16/57) clustering into six defined sequence types. A cgMLST-based distance of four genes was found in one pair of isolates, suggesting common source transmission.ConclusionsA. caviae is the dominant species related to gastroenteritis and is characterized by a diverse population structure, with almost no evidence for common-source transmission. Resistance rates to most antimicrobial agents were low and partially matched with the presence of resistance genes.

Incorporating low haemoglobin into a risk prediction model for conversion in minimally invasive gynaecologic oncology surgeries

Background A well-known complication of laparoscopic management of gynaecologic masses and cancers is the need to perform an intraoperative conversion to laparotomy. The purpose of this study was to identify novel patient risk factors for conversion from minimally invasive to open surgeries for gynaecologic oncology operations. Methods This was a retrospective cohort study of 1356 patients ≥18 years of age who underwent surgeries for gynaecologic masses or malignancies between February 2015 and May 2020 at a single academic medical centre. Multivariable logistic regression was used to study the effects of older age, higher body mass index (BMI), higher American Society of Anaesthesiologist (ASA) physical status, and lower preoperative haemoglobin (Hb) on odds of converting from minimally invasive to open surgery. Receiver operating characteristic (ROC) curve analysis assessed the discriminatory ability of a risk prediction model for conversion. Results A total of 704 planned minimally invasive surgeries were included with an overall conversion rate of 6.1% (43/704). Preoperative Hb was lowest for conversion cases, compared to minimally invasive and open cases (11.6 ± 1.9 vs 12.8 ± 1.5 vs 11.8 ± 1.9 g/dL, p<.001). Patients with preoperative Hb <10 g/dL had an adjusted odds ratio (OR) of 3.94 (CI: 1.65–9.41, p=.002) for conversion while patients with BMI ≥30 kg/m2 had an adjusted OR of 2.86 (CI: 1.50–5.46, p=.001) for conversion. ROC curve analysis using predictive variables of age >50 years, BMI ≥30 kg/m2, ASA physical status >2, and preoperative haemoglobin <10 g/dL resulted in an area under the ROC curve of 0.71. Patients with 2 or more risk factors were at highest risk of requiring an intraoperative conversion (12.0%). Conclusions Lower preoperative haemoglobin is a novel risk factor for conversion from minimally invasive to open gynaecologic oncology surgeries and stratifying patients based on conversion risk may be helpful for preoperative planning.

Mandibular Advancement vs Combined Airway and Positional Therapy for Snoring

Approximately 150 million individuals in the US snore in the absence of obstructive sleep apnea (primary snoring), but few studies have examined the efficacy of treatments for snoring or evaluated the effect of snoring in sleeping partners. To evaluate the efficacy of 2 treatments for primary snoring. This pilot randomized clinical trial that included a convenience sample of people who snore without sleep apnea and their sleeping partner who underwent 4 weeks of snoring treatment was conducted at an academic medical center between October 3, 2022, and July 3, 2023. Fifty couples were randomized to either use a mandibular advancement device (MAD) or receive combined airway and positional therapy (CAPT; external nasal dilator, nasal saline lavage with mometasone, mouth taping, and lateral positional therapy). Percentage of sleeping partners who reported that their partner's snoring was either very much improved or much improved (responder) on the Clinical Global Impression of Improvement scale. A total of 42 dyads completed the study; 23 (55%) were randomized to MAD and 19 (45%) to CAPT. Among people who snore, 26 (62%) were female, and the mean (SD) age was 48 (14) years. Of 23 dyads randomized to MAD, 21 people who snore (91%) were rated by the sleeping partner as a responder, while 11 of the 19 dyads (58%) randomized to CAPT were rated by the sleeping partner as responder, resulting in a difference of 33 percentage points (95% CI, 8-58) and a number needed to treat of 3. Of the 10 participants who were withdrawn, 4 were withdrawn due to adverse effects of the treatment that were evenly distributed between the MAD (n = 2) and CAPT (n = 2) groups. The results of this randomized clinical trial showed that the MAD may be more effective than CAPT for treating primary snoring, while both treatment options were found to reduce primary snoring. Physicians should have a patient-centered discussion to determine which treatment is best for individual patients with primary snoring, weighing convenience, adverse effects, and cost as factors. ClinicalTrials.gov Identifier: NCT05756647.

#2996 Diffuse alveolar haemorrhage in antiphospholipid syndrome—a rare case

Abstract Background and Aims Diffuse alveolar haemorrhage (DAH) is a serious manifestation of diseases such as systemic lupus erythematosus (SLE) and, apparently in a paradoxical manner, antiphospholipid syndrome (APS). Inflammation resulting from the deposition of immune complexes in alveolar capillaries appears to contribute to the pathophysiology of DAH, SLE and APS. Symptoms include cough, dyspnoea, haemoptysis or fever. It is associated with a drop in haemoglobin, respiratory failure and diffuse infiltrates on imaging exams. Bronchoscopy is diagnostic. It is important to exclude infection as treatment includes high-dose corticosteroid therapy and other immunosuppressive drugs. We present a challenging case regarding the diagnostic and therapeutic approach to this pathology. Case report This is the case of a 52-year-old Caucasian female, with a history of SLE, APS, splenectomy due to thrombocytopenia, IgM Kappa monoclonal gammopathy and indolent non-Hodgkin lymphoma. She was medicated with prednisolone 5 mg and warfarin (target INR between 2 and 3). The patient was observed due to a 1-day history of fever, nasal obstruction and odynophagia, associated with progressively worsening fatigue. On examination, she was pale, eupnoeic, tachycardic, with bibasal rales and a hyperaemic oropharynx. Lab workup results were the following: haemoglobin 7 g/dL (11.7 g/dL 3 months before), VGM 71 fL, presence of schistocytes, leukocytes 13.7 G/L, neutrophils 11.1 G/L, PCR 4.6 mg/dL, platelets 170 G/L, INR 3.6, aPTT 45 sec, negative D-Dimers, urea 54 mg/dL, creatinine 1.4 mg/dL, LDH 431 IU/L, normal haptoglobin, negative Coombs test. In arterial blood gas analysis, pO2 was 61 mmHg and lactate was 5 mmol/L. Chest X-ray showed bilateral basal cotton-wool infiltrates and chest CT showed bilateral ground-glass pattern. The rest of the investigation included no complement consumption, negative anti-ds-DNA antibody, positive lupus anticoagulant, anticardiolipin and anti-beta2-glycoprotein antibodies, negative cryoglobulins and no evidence of progression of the lymphoproliferative disease. She was admitted to the intensive care unit due to suspicion of atypical/viral pneumonia vs. DAH. Oxygen therapy, empirical antibiotic therapy with ceftriaxone and clarithromycin and oral methylprednisolone 1 mg/Kg/day were started. She needed blood transfusion, although without visible blood loss. Bronchofibroscopy was performed, with bronchoalveolar lavage suggestive of DAH, so it was decided to start intravenous pulses of methylprednisolone, plasmapheresis, and intravenous immunoglobulin (IVIG). Warfarin was changed to unfractionated heparin. The patient had clinical, analytical and radiological improvement. Due to the lack of evidence of infection, antibiotics were stopped after 7 days. The patient was discharged under weaning corticosteroid therapy and monthly IVIG (during 5 months), without recurrence in the following year. Conclusion This is a rare case of oligosymptomatic DAH in a patient with SLE and APS. The literature currently available on DAH in the context of SLE or APS is scarce and its treatment is mainly dependent on the experience of each medical centre. Corticosteroid therapy is consensual, with greater variability in other corticosteroid-sparing therapies. In the case of patients with APS, anticoagulation is a challenge, and it is important to resume it as soon as the bleeding is controlled due to the risk of thrombotic events.

Viral load in hospitalized infants with respiratory syncytial virus bronchiolitis: a three-way comparative analysis.

Viral load measurement ofRespiratory syncytial virus (RSV) in acute bronchiolitis depends on specimen collection, viral load quantification, and transport media.The aim of this study wasto investigate viral load in three-way-comparative analyses; nasal swab versus nasal wash, quantitative real-time polymerase chain reaction (RT-PCR) versus cell tissue culture, and various transport media.A prospective cohort study of infants aged < 12 months, admitted to the Soroka Medical Center, due to acute bronchiolitis, was conducted. Two nasal swabs and two nasal wash samples (in UTM and VCM) were collected from each infant upon admission and after 48h. Samples were immediately stored at -80 °C and tested at Viroclinics DDL (Rotterdam, Netherlands). Quantitative RT-PCR and quantitative virus culture were performed using tissue culture infective dose (TCID50). Spearman's correlation coefficient test assessed the correlation between the different methods, viral load, and clinical severity score. One hundred samples were collected from 13 infants (mean age 5.7 ± 3.8 months, 46% males). Twelve patients were RSV-A positive, and one was RSV-B positive. A high correlation was found between transport media- UTM and VCM (0.92, P < 0.001) and between nasal swabs and nasal wash samples (0.62, P = 0.02). RSV signals were higher in nasal wash than in swabs. PCR signals were lower in the second collection compared to the first. No correlation was found between viral load and clinical severity. Conclusion: RSV viral load is comparable across nasal wash, nasal swabs, and various transport media. However, it did not correlate with clinical severity, probably due to the limited sample size. Broader analyses are warranted. What is Known: • Viral load measurement in Respiratory Syncytial Virus (RSV) bronchiolitis depends on specimen collection, viral load quantification, and transport media. • The COVID-19 pandemic underscored the paramount significance of proper specimen collection, notably through nasal swabs. What is New: • RSV viral load was investigated in three-way-comparative analyses. • RSV viral load correlated well across PCR and tissue culture, nasal wash and swabs, and various transport media.RSV viral load did not correlate with clinical severity.

Reducing postoperative hypothermia in infants: Quality improvement in China.

Unintended postoperative hypothermia in infants is associated with increased mortality and morbidity. We noted consistent hypothermia postoperatively in more than 60% of our neonatal intensive care (NICU) babies. Therefore, we set out to determine whether a targeted quality improvement (QI) project could decrease postoperative hypothermia rates in infants. Our SMART aim was to reduce postoperative hypothermia (<36.5°C) in infants from 60% to 40% within 6 months. This project was approved by IRB at Guangzhou Women and Children's Medical Center, China. The QI team included multidisciplinary healthcare providers in China and QI experts from Children's Hospital of Philadelphia, USA. The plan-do-study-act (PDSA) cycles included establishing a perioperative-thermoregulation protocol, optimizing the transfer process, and staff education. The primary outcome and balancing measures were, respectively, postoperative hypothermia and hyperthermia (axillary temperature < 36.5°C, >37.5°C). Data collected was analyzed using control charts. The factors associated with a reduction in hypothermia were explored using regression analysis. There were 295 infants in the project. The percentage of postoperative hypothermia decreased from 60% to 37% over 26 weeks, a special cause variation below the mean on the statistical process control chart. Reduction in hypothermia was associated with an odds of 0.17 (95% CI: 0.06-0.46; p <.001) for compliance with the transport incubator and 0.24 (95% CI: 0.1-0.58; p =.002) for prewarming the OR ambient temperature to 26°C. Two infants had hyperthermia. Our QI project reduced postoperative hypothermia without incurring hyperthermia through multidisciplinary team collaboration with the guidance of QI experts fromthe USA.

Biochemical and molecular analysis of pediatric patients with metachromatic leukodystrophy in South China: functional characterization of five novel ARSA variants.

Metachromatic leukodystrophy (MLD) is a rare hereditary neurodegenerative disease caused by deficiency of the lysosomal enzyme arylsulfatase A (ARSA). This study described the clinical and molecular characteristics of 24 Chinese children with MLD and investigated functional characterization of five novel ARSA variants. A retrospective analysis was performed in 24 patients diagnosed with MLD at Guangzhou Women and Children's Medical Center in South China. Five novel mutations were further characterized by transient expression studies. We recruited 17 late-infantile, 3 early-juvenile, 4 late-juvenile MLD patients. In late-infantile patients, motor developmental delay and gait disturbance were the most frequent symptoms at onset. In juvenile patients, cognitive regression and gait disturbance were the most frequent chief complaints. Overall, 25 different ARSA mutations were identified with 5 novel mutations.The most frequent alleles were p.W320* and p.G449Rfs. The mutation p.W320*, p.Q155=, p.P91L, p.G156D, p.H208Mfs*46 and p.G449Rfs may link to late-infantile type. The novel missense mutations were predicted damaging in silico. The bioinformatic structural analysis of the novel missense mutations showed that these amino acid replacements would cause severe impairment of protein structure and function. In vitro functional analysis of the six mutants, showing a low ARSA enzyme activity, clearly demonstrated their pathogenic nature. The mutation p.D413N linked to R alleles. In western blotting analysis of the ARSA protein, the examined mutations retained reduced amounts of ARSA protein compared to the wild type. This study expands the spectrum of genotype of MLD. It helps to the future studies of genotype-phenotype correlations to estimate prognosis and develop new therapeutic approach.

Predictors of syrinx presentation and outcomes in pediatric Chiari malformation type I: a single institution experience of 218 consecutive syrinx patients.

Chiari I malformation (CM-I) in pediatric patients can impose substantial neurologic and functional impairment. Additionally, the presence of syrinx is often a harbinger of clinical compromise, but little attention has been devoted to identifying features associated with syrinx development and the clinical impact of syrinx resolution. Therefore, this study aims to identify clinical and radiographic variables associated with preoperative syrinx presence and postoperative syrinx reduction in pediatric patients with CM-I and determine the relationship between postoperative syrinx reduction and clinical symptom improvement. The authors performed a retrospective analysis of 435 consecutive pediatric patients who underwent surgical treatment of CM-I from 2001 to 2021 at a single tertiary pediatric medical center. All patients underwent pre- and postoperative MRI, and clinical and radiographic variables were recorded and subject to inferential analysis. Syrinx at presentation was independently associated with symptoms of spinal cord dysfunction at presentation (OR 2.17 (95% CI 1.05-4.48); p = 0.036), scoliosis (OR 5.33 (2.34-10.86); p = 0.001), and greater pB-C2 (posterior basion to C2 distance) measurement length (OR 1.14 (95% CI 1.01-1.30); p = 0.040). Syrinx at presentation was inversely associated with tussive headaches at presentation (OR 0.27 (95% CI 0.16-0.47); p = 0.001) and cranial nerve deficits at presentation (OR 0.49 (95% CI 0.26-0.92); p = 0.025). Postoperatively, patients with radiographic evidence of syrinx improvement had greater rates of symptom improvement (93.1% vs 82.1%; p = 0.049), better CCOS scores (15.4 vs 14.2; p = 0.001), and decreased rates of readmission (6.0% vs 25.0%, p = 0.002) and reoperation (0.5% vs 35.7%; p = 0.001). The difference in syrinx resolution was similar but not statistically significant (10.3% vs 16.7%; p = 0.251). AO joint anomaly (OR 0.20, 95% CI 0.04-0.95; p = 0.026) and foramen magnum diameter (OR 1.12, 95% CI 1.00-1.25; p = 0.049) were the only independent predictors of syrinx improvement, and surgical technique was the only predictor for syrinx resolution (OR 2.44, 95% CI 1.08-5.50; p = 0.031). Patients that underwent tonsil reduction surgery whose syrinx improved had a wider foramen magnum diameter than those whose did not improve (34.3 vs 31.7; p = 0.028). Radiographic syrinx improvement is associated with greater rates of symptom improvement and less readmissions and reoperations for CM-I. AO joint anomalies and narrower foramen magnums were independent risk factors for the lack of syrinx improvement. These novel insights will help guide preoperative patient counseling, pre- and intraoperative surgical decision-making, and postoperative clinical prognostication in the treatment of pediatric CM-I.

Frontline perspectives on barriers to care for patients with California Medicaid: a qualitative study.

While insurance is integral for accessing healthcare in the US, coverage alone may not ensure access, especially for those publicly insured. Access barriers for Medicaid-insured patients are rooted in social drivers of health, insurance complexities in the setting of managed care plans, and federal- and state-level policies. Elucidating barriers at the health system level may reveal opportunities for sustainable solutions. To understand barriers to ambulatory care access for patients with Medi-Cal (California's Medicaid program) and identify improvement opportunities, we performed a qualitative study using semi-structured interviews of a referred sample of clinicians and administrative staff members experienced with clinical patient encounters and/or completion of referral processes for patients with Medi-Cal (n = 19) at a large academic medical center. The interview guide covered the four process steps to accessing care within the health system: (1) scheduling, (2) referral and authorization, (3) contracting, and (4) the clinical encounter. We transcribed and inductively coded the interviews, then organized themes across the four steps to identify perceptions of barriers to access and improvement opportunities for ambulatory care for patients with Medi-Cal. Clinicians and administrative staff members at a large academic medical center revealed barriers to ambulatory care access for Medi-Cal insured patients, including lack of awareness of system-level policy, complexities surrounding insurance contracting, limited resources for social support, and poor dissemination of information to patients. Particularly, interviews revealed how managed Medi-Cal impacts academic health systems through additional time and effort by frontline staff to facilitate patient access compared to fee-for-service Medi-Cal. Interviewees reported that this resulted in patient care delays, suboptimal care coordination, and care fragmentation. Our findings highlight gaps in system-level policy, inconsistencies in pursuing insurance authorizations, limited resources for scheduling and social work support, and poor dissemination of information to and between providers and patients, which limit access to care at an academic medical center for Medi-Cal insured patients. Many interviewees additionally shared the moral injury that they experienced as they witnessed patient care delays in the absence of system-level structures to address these barriers. Reform at the state, insurance organization, and institutional levels is necessary to form solutions within Medi-Cal innovation efforts.

Normality Analysis of Numeric Rating Scale Scores in Patients with Chronic Axial Spine Pain Before and After Medial Branch Blocks: a Multicenter Study.

The statistical analysis typically employed to compare pain both before and after interventions assumes scores are normally distributed. The present study evaluates whether Numeric Rating Scale (NRS), specifically the NRS-11, scores are indeed normally distributed in a clinically-relevant cohort of adults with chronic axial spine pain pre- and post-analgesic intervention. Retrospective review from four academic medical centers of prospectively collected data from a uniform pain diary administered to consecutive patients after undergoing medial branch blocks. The pain diary assessed NRS-11 scores immediately pre-injection and at 12 different time points post-injection up to 48 hours. D'Agostino-Pearson tests were used to test normality at all time points. One hundred fifty pain diaries were reviewed and despite normally distributed pre-injection NRS-11 scores (K2 = 0.655, p = 0.72), all post-injection NRS-11 data was not normally distributed (K2 = 9.70- 17.62, p = 0.0001-0.008). Although the results of parametric analyses of NRS-11 scores are commonly reported in pain research, some properties of NRS-11 do not satisfy the assumptions required for these analyses. The data demonstrate non-normal distributions in post-intervention NRS-11 scores, thereby violating a key requisite for parametric analysis. We urge pain researchers to consider appropriate statistical analysis and reporting for non-normally distributed NRS-11 scores to ensure accurate interpretation and communication of these data. Practicing pain physicians should similarly recognize that parametric post-intervention pain score statistics may not accurately describe the data and should expect manuscripts to utilize measures of normality to justify the selected statistical methods.

A Two-Stage Training Framework Using Multicontrast MRI Radiomics for IDH Mutation Status Prediction in Glioma.

"Just Accepted" papers have undergone full peer review and have been accepted for publication in Radiology: Artificial Intelligence. This article will undergo copyediting, layout, and proof review before it is published in its final version. Please note that during production of the final copyedited article, errors may be discovered which could affect the content. Purpose To develop a radiomics framework for preoperative MRI-based prediction of IDH mutation status, a crucial glioma prognostic indicator. Materials and Methods Radiomics features (shape, first-order statistics, and texture) were extracted from the whole tumor or the combination of nonenhancing, necrosis, and edema regions. Segmentation masks were obtained via the federated tumor segmentation tool or the original data source. Boruta, a wrapper-based feature selection algorithm, identified relevant features. Addressing the imbalance between mutated and wild-type cases, multiple prediction models were trained on balanced data subsets using Random Forest or XGBoost and assembled to build the final classifier. The framework was evaluated using retrospective MRI scans from three public datasets (The Cancer Imaging Archive (TCIA, 227 patients), the University of California San Francisco Preoperative Diffuse Glioma MRI dataset (UCSF, 495 patients), and the Erasmus Glioma Database (EGD, 456 patients)) and internal datasets collected from UT Southwestern Medical Center (UTSW, 356 patients), New York University (NYU, 136 patients), and University of Wisconsin-Madison (UWM, 174 patients). TCIA and UTSW served as separate training sets, while the remaining data constituted the test set (1617 or 1488 testing cases, respectively). Results The best-performing models trained on the TCIA dataset achieved area under the receiver operating characteristic curve (AUC) values of 0.89 for UTSW, 0.86 for NYU, 0.93 for UWM, 0.94 for UCSF, and 0.88 for EGD test sets. The best-performing models trained on the UTSW dataset achieved slightly higher AUCs: 0.92 for TCIA, 0.88 for NYU, 0.96 for UWM, 0.93 for UCSF, and 0.90 for EGD. Conclusion This MRI radiomics-based framework shows promise for accurate preoperative prediction of IDH mutation status in patients with glioma. Published under a CC BY 4.0 license.

Assessing the impact of early progressive mobilization on moderate-to-severe traumatic brain injury: a randomized controlled trial.

Traumatic brain injury (TBI) is a major cause of neurodisability worldwide, with notably high disability rates among moderately severe TBI cases. Extensive previous research emphasizes the critical need for early initiation of rehabilitation interventions for these cases. However, the optimal timing and methodology of early mobilization in TBI remain to be conclusively determined. Therefore, we explored the impact of early progressive mobilization (EPM) protocols on the functional outcomes of ICU-admitted patients with moderate to severe TBI. This randomized controlled trial was conducted at a trauma ICU of a medical center; 65 patients were randomly assigned to either the EPM group or the early progressive upright positioning (EPUP) group. The EPM group received early out-of-bed mobilization therapy within seven days after injury, while the EPUP group underwent early in-bed upright position rehabilitation. The primary outcome was the Perme ICU Mobility Score and secondary outcomes included Functional Independence Measure motor domain (FIM-motor) score, phase angle (PhA), skeletal muscle index (SMI), the length of stay in the intensive care unit (ICU), and duration of ventilation. Among 65 randomized patients, 33 were assigned to EPM and 32 to EPUP group. The EPM group significantly outperformed the EPUP group in the Perme ICU Mobility and FIM-motor scores, with a notably shorter ICU stay by 5.9days (p < 0.001) and ventilation duration by 6.7days (p = 0.001). However, no significant differences were observed in PhAs. The early progressive out-of-bed mobilization protocol can enhance mobility and functional outcomes and shorten ICU stay and ventilation duration of patients with moderate-to-severe TBI. Our study's results support further investigation of EPM through larger, randomized clinical trials. Clinical trial registration ClinicalTrials.gov NCT04810273 . Registered 13 March 2021.

Nursing intervention analysis: Understanding the characteristics of trauma patients in a regional emergency medical center

Introduction: This study aims to analyze nursing interventions for trauma patients at regional emergency medical centers based on injury types, mechanisms, and sites, providing foundational data for nursing education programs. Specific goals include understanding trauma patient characteristics, determining the frequency of nursing interventions by injury types, mechanisms, and sites and identifying variations in nursing interventions based on injury characteristics.Methods: Conducted retrospectively, this study contributes basic data for creating nursing education materials. It includes 661 eligible trauma patients out of 19,920 visits to the S city regional emergency medical center between March 1, 2019, and February 29, 2020.Results: This research is pivotal in gathering contexts for nursing interventions among trauma patients, providing essential information for the development of nursing education resources. It emphasizes the importance of a comprehensive analysis of interventions tailored to the type, location, and mechanism of injuries to ensure effective patient care. The development and ongoing use of educational materials for nurses remain vital.Conclusions: This investigation highlights the importance of documenting and analyzing nursing intervention strategies in trauma care, establishing a solid foundation for educational content in this field. Continuous examination of varied interventions according to injury characteristics is crucial for delivering precise and effective nursing care. The sustained development and application of educational resources in nursing are essential for improving patient outcomes.

Conventional clinical signs and symptoms are poor predictors of postoperative cerebrospinal fluid leak: A single-centre cohort perspective.

Postoperative cerebrospinal fluid (CSF) leak remains a concerning complication of the endoscopic endonasal approach (EEA) for skull base pathology. Signs and symptoms suggesting CSF leak often trigger additional workup during the postoperative course. We systematically evaluate associations between subjectively reported clinical signs/symptoms noted during the immediate postoperative period and incidence of postoperative CSF leaks. Retrospective chart review was conducted at a tertiary academic medical centre including 137 consecutive patients with intraoperative CSF leak during EEA with primary repair between July 2018 and August 2022. Postoperative CSF leak associations with clinical signs and symptoms were evaluated using positive (PPV) and negative predictive values (NPV), sensitivity, specificity and odds ratio (OR) via univariate logistic regression. Seventy-nine patients (57.7%) had high-flow leaks repaired and 5 (3.6%) developed CSF leaks postoperatively. Of reported symptoms, rhinorrhea was most common (n = 52, 38.0%; PPV [95% CI] = 7.6% [4.8%, 11.9%]), followed by severe headache (n = 47, 34.3%; 6.3% [3.1%, 12.5%]), dizziness (n = 43, 31.4%; 2.3% [0.4%, 12.1%]), salty or metallic taste (n = 20, 14.6%; 9.9% [3.3%, 25.8%]), and throat drainage (n = 10, 7.3%; 9.9% [1.7%, 41.4%]). Nausea or vomiting constituted the most reported sign concerning for CSF leak (n = 73, 53.3%; PPV [95% CI] = 4.1% [2.0%, 8.1%]). On univariate regression, no sign or symptom, including rhinorrhea (OR [95% CI] = 7.00 [0.76-64.44]), throat drainage (3.42 [0.35-33.86]), salty/metallic taste (4.22 [0.66-27.04]), severe headache (3.00 [0.48-18.62]), dizziness (0.54 [0.06-4.94]), fever (3.16 [0.50-19.99]), and nausea/vomiting (1.33 [0.22-8.21]), associated with postoperative CSF leak. A range of subjectively reported symptoms and signs failed to predict postoperative CSF leak. Further investigation is warranted to inform appropriate attention and response.

Enhancing voxel-based dosimetry accuracy with an unsupervised deep learning approach for hybrid medical image registration.

Deformable registration is required to generate a time-integrated activity (TIA) map which is essential for voxel-based dosimetry. The conventional iterative registration algorithm using anatomical images (e.g., computed tomography (CT)) could result in registration errors in functional images (e.g., single photon emission computed tomography (SPECT) or positron emission tomography (PET)). Various deep learning-based registration tools have been proposed, but studies specifically focused on the registration of serial hybrid images were not found. In this study, we introduce CoRX-NET, a novel unsupervised deep learning network designed for deformable registration of hybrid medical images. The CoRX-NET structure is based on the Swin-transformer (ST), allowing for the representation of complex spatial connections in images. Its self-attention mechanism aids in the effective exchange and integration of information across diverse image regions. To augment the amalgamation of SPECT and CT features, cross-stitch layers have been integrated into the network. Two different 177 Lu DOTATATE SPECT/CT datasets were acquired at different medical centers. 22 sets from Seoul National University and 14 sets from Sunway Medical Centre are used for training/internal validation and external validation respectively. The CoRX-NET architecture builds upon the ST, enabling the modeling of intricate spatial relationships within images. To further enhance the fusion of SPECT and CT features, cross-stitch layers have been incorporated within the network. The network takes a pair of SPECT/CT images (e.g., fixed and moving images) and generates a deformed SPECT/CT image. The performance of the network was compared with Elastix and TransMorph using L1 loss and structural similarity index measure (SSIM) of CT, SSIM of normalized SPECT, and local normalized cross correlation (LNCC) of SPECT as metrics. The voxel-wise root mean square errors (RMSE) of TIA were compared among the different methods. The ablation study revealed that cross-stitch layers improved SPECT/CT registration performance. The cross-stitch layers notably enhance SSIM (internal validation: 0.9614vs. 0.9653, external validation: 0.9159vs. 0.9189) and LNCC of normalized SPECT images (internal validation: 0.7512vs. 0.7670, external validation: 0.8027vs. 0.8027). CoRX-NET with the cross-stitch layer achieved superior performance metrics compared to Elastix and TransMorph, except for CT SSIM in the external dataset. When qualitatively analyzed for both internal and external validation cases, CoRX-NET consistently demonstrated superior SPECT registration results. In addition, CoRX-NET accomplished SPECT/CT image registration in less than 6s, whereas Elastix required approximately 50s using the same PC's CPU. When employing CoRX-NET, it was observed that the voxel-wise RMSE values for TIA were approximately 27% lower for the kidney and 33% lower for the tumor, compared to when Elastix was used. This study represents a major advancement in achieving precise SPECT/CT registration using an unsupervised deep learning network. It outperforms conventional methods like Elastix and TransMorph, reducing uncertainties in TIA maps for more accurate dose assessments.

Assessment of Macrovascular Invasion in Advanced Hepatocellular Carcinoma: Clinical Implications and Treatment Outcomes with Systemic Therapy

Introduction: Macrovascular invasion (MVI) is a strong prognostic factor for advanced hepatocellular carcinoma (HCC). The current criteria for radiological assessment are unclear in evaluating the impact of MVI on systemic therapy. In this study, we standardized the assessment of MVI and validated its clinical relevance. Methods: Clinical data were collected from patients with advanced HCC and MVI who received first-line systemic therapy at four medical centers in Japan. First, we used macrovascular invasion progression disease (MVI-PD) to track MVI progression, and Response Evaluation Criteria in Solid Tumours version 1.1 progression disease (RECIST v1.1-PD) to evaluate tumor enlargement other than MVI and the appearance of new lesions. Next, we assessed the prognostic value of MVI-PD and RECIST v1.1-PD. Results: Of the 207 advanced HCC patients with MVI, 189 received appropriate imaging evaluation. 40 (21.2%) patients had MVI-PD and RECIST v1.1-PD, 51 (27.0%) had prior MVI-PD, and 61 (32.3%) had prior RECIST v1.1-PD. In a landmark analysis, the prognosis of 163 patients who survived more than three months was analyzed based on the assessment of imaging response during the first three months. The median overall survival (OS) was 5.4 months in those who had MVI-PD and RECIST v1.1-PD, 7.4 months in those who had RECIST v1.1-PD only, 7.2 months in those who had MVI-PD only, and 19.7 months in patients who had neither (p&amp;lt;0.001). The correlation coefficients between progression-free survival and OS in patients with appropriate imaging assessments were similar for MVI-PD (0.515) and RECIST v1.1-PD (0.498). Conclusion: Our findings demonstrate the link between MVI progression and poor OS in systemic therapy for advanced HCC, emphasizing the importance of an accurate method for assessing MVI progression.

Facilitators and barriers for high-reliability training in medical centers

Facilitators and barriers for high-reliability training in medical centers

HCA-DAN: hierarchical class-aware domain adaptive network for gastric tumor segmentation in 3D CT images

BackgroundAccurate segmentation of gastric tumors from CT scans provides useful image information for guiding the diagnosis and treatment of gastric cancer. However, automated gastric tumor segmentation from 3D CT images faces several challenges. The large variation of anisotropic spatial resolution limits the ability of 3D convolutional neural networks (CNNs) to learn features from different views. The background texture of gastric tumor is complex, and its size, shape and intensity distribution are highly variable, which makes it more difficult for deep learning methods to capture the boundary. In particular, while multi-center datasets increase sample size and representation ability, they suffer from inter-center heterogeneity.MethodsIn this study, we propose a new cross-center 3D tumor segmentation method named Hierarchical Class-Aware Domain Adaptive Network (HCA-DAN), which includes a new 3D neural network that efficiently bridges an Anisotropic neural network and a Transformer (AsTr) for extracting multi-scale context features from the CT images with anisotropic resolution, and a hierarchical class-aware domain alignment (HCADA) module for adaptively aligning multi-scale context features across two domains by integrating a class attention map with class-specific information. We evaluate the proposed method on an in-house CT image dataset collected from four medical centers and validate its segmentation performance in both in-center and cross-center test scenarios.ResultsOur baseline segmentation network (i.e., AsTr) achieves best results compared to other 3D segmentation models, with a mean dice similarity coefficient (DSC) of 59.26%, 55.97%, 48.83% and 67.28% in four in-center test tasks, and with a DSC of 56.42%, 55.94%, 46.54% and 60.62% in four cross-center test tasks. In addition, the proposed cross-center segmentation network (i.e., HCA-DAN) obtains excellent results compared to other unsupervised domain adaptation methods, with a DSC of 58.36%, 56.72%, 49.25%, and 62.20% in four cross-center test tasks.ConclusionsComprehensive experimental results demonstrate that the proposed method outperforms compared methods on this multi-center database and is promising for routine clinical workflows.

When do medical operators choose to use, or not use, video in emergency calls? A case study

BackgroundAn evaluation report for a pilot project on the use of video in medical emergency calls between the caller and medical operator indicates that video is only used in 4%...

Antiseizure adverse drug reaction and associated factors among epileptic patients at Jimma Medical Center: a prospective observational study

A growing body of evidence suggests that adverse drug reactions (ADRs) are a major cause of morbidity and mortality in the healthcare system. Fifteen to twenty-five percent of patients with epilepsy discontinued antiseizure drugs (ASDs) within 6 months of therapy owing to intolerable adverse drug reactions. In Ethiopia, the prevalence of antiseizure adverse drug reactions and associated factors was not extensively conducted in advanced settings like Jimma Medical Centers. Hence, the objective of this study is to assess patterns of adverse drug reactions and associated factors among ambulatory epileptic patients at tertiary hospitals in Ethiopia. A hospital-based prospective observational study was spanned for 1 year. Two hundred ninety patients were consecutively recruited into the study from all epileptic patients attending the ambulatory clinic. Relevant data were collected through patient interviews and medical chart reviews. The causality assessment was done by using the Naranjo Probability Scale. Epi-Data manager version 4.6.0.4 was used for data entry and statistical analysis was performed by Statistical Package for Social Science version 25.0 (SPSS). Stepwise backward logistic regression analysis was done to identify factors that increase the risk of antiseizure adverse drug reactions. The mean (± SD) age of the participants were 29.91(± 11.26) years. The overall prevalence of ADR was 33.8% (95% CI 29.2–39.9%). A total of 110 adverse drug reactions were identified among 98 patients with an average of 1.12 per patient. ADRs were frequently reported with phenobarbital (52.04%) and phenytoin (34.70%). The commonly identified adverse drug reactions were epigastric pain (27.55%) and central nervous system drowsiness (23.46%). Comorbidity (AOR = 5.91, 95% CI (2.14–16.32), seizure-free period of fewer than 2 years (AOR = 1.94, 95% CI (1.18–3.19), and polytherapy (AOR = 1.35, 95% CI (1.80–2.26) were significantly associated with adverse drug reactions. This trial had a comparatively high percentage of adverse medication reactions. Adverse medication reactions were more common in patients with polytherapy, comorbidities, and seizure-free durations less than two years. Therefore, medical practitioners should advise patients who exhibit these traits on how to reduce or avoid bad drug responses or provide comfort in the event of small incidents.