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Scanning the aged to minimize missed injury: An Eastern Association for the Surgery of Trauma multicenter study.
No full textBACKGROUND: Despite the high incidence of blunt trauma in older adults, there is a lack of evidence-based guidance for computed tomography (CT) imaging in this population. We aimed to identify an algorithm to guide use of a pan-scan (head/cervical spine [C-spine]/torso) or a selective scan (head/C-spine ± torso). We hypothesized that a patient\u27s initial history and examination could be used to guide imaging.
METHODS: We prospectively studied blunt trauma patients 65 years or older at 18 Level I/II trauma centers. Patients presenting \u3e24 hours after injury or who died upon arrival were excluded. We collected history and physical elements and final injury diagnoses. Injury diagnoses were categorized into CT body regions of head/C-spine or Torso (chest, abdomen/pelvis, and thoracolumbar spine). Using machine learning and regression modeling as well as a priori clinical algorithms based, we tested various decision rules against our data set. Our priority was to identify a simple rule, which could be applied at the bedside, maximizing sensitivity and negative predictive value (NPV) to minimize missed injuries.
RESULTS: We enrolled 5,498 patients with 3,082 injuries. Nearly half (n = 2,587 [47.1%]) had an injury within the defined CT body regions. No rule to guide a pan-scan could be identified with suitable sensitivity/NPV for clinical use. A clinical algorithm to identify patients for pan-scan, using a combination of physical examination findings and specific high-risk criteria, was identified and had a sensitivity of 0.94 and NPV of 0.86. This rule would have identified injuries in all but 90 patients (1.6%) and would theoretically spare 11.9% (655) of blunt trauma patients a torso CT.
CONCLUSION: Our findings advocate for head/C-spine CT in all geriatric patients with the addition of torso CT in the setting of positive clinical findings and high-risk criteria. Prospective validation of this rule could lead to streamlined diagnostic care of this growing trauma population.
LEVEL OF EVIDENCE: Diagnostic Tests or Criteria; Level II
Pediatric Cardiovascular Multiscale Modeling using a Functional Mock-up Interface.
No full textPURPOSE: Computational models of the cardiovascular system continue to increase in complexity. As more elements of the physiology are captured in multiscale models, there is a need to efficiently integrate subsystems. The objective of this study is to demonstrate the effectiveness of a coupling methodology, called functional mock-up interface (FMI), as applied to multiscale cardiovascular modeling.
METHODS: The multiscale model is composed of two subsystems: a computational fluid dynamics (CFD) model coupled to a lumped parameter model (LPM). The LPM is packaged using the FMI standard and imported into the CFD subsystem using an FMI co-simulation architecture. The functionality of an FMI coupling was demonstrated in a univentricular parallel circulation by means of compatible tools, including ANSYS CFX and Python. Predicted pressures and flows were evaluated in comparison with clinical data and a previously developed computational model.
RESULTS: The two models exchanged pressure and flow data between their boundaries at each timestep, demonstrating sufficient inter-subsystem communication. The models recreated pressures and flows from clinical measurements and a patient-specific model previously published.
CONCLUSION: FMI integrated with ANSYS CFX is an effective approach for interfacing cardiovascular multiscale models as demonstrated by the presented univentricular circulatory model. FMI offers a modular approach towards tool integration and is an advantageous strategy for modeling complex systems
Incidence and Predictors of Growth Modulation and Overcorrection after Anterior Vertebral Body Tethering.
No full textSTUDY DESIGN: Retrospective review of a prospectively collected single-center adolescent idiopathic scoliosis (AIS) database.
OBJECTIVE: To evaluate the incidence and predictors of growth modulation and overcorrection after vertebral body tethering (VBT) in AIS.
BACKGROUND: Little data exists regarding which AIS patients will exhibit growth modulation and/or overcorrection after VBT compared to those whose curve correction will remain unchanged (no modulation).
MATERIALS AND METHODS: A total of 279 patients with AIS with a minimum 2-year follow-up (range 2-10 years) were included. There were 262 thoracic and 65 thoracolumbar VBT surgeries performed. Univariate and multivariate regression analyses were performed to identify the potential clinical/radiographic predictive factors for growth modulation and overcorrection.
RESULTS: Patients with growth modulation and those with no modulation after thoracic VBT were significantly more immature (younger, premenarchal, lower Sanders score/Risser grade, open triradiate cartilage [TRC]) and physically smaller (lower height, weight, and body mass index [BMI]; P
CONCLUSION: AIS patients with open-TRC and lower BMI had a statistically higher rate of thoracic growth modulation and overcorrection after VBT in multivariate analysis. Preoperative and first-erect curve magnitudes did not affect the incidence of growth modulation
The impact of inpatient nipple stimulation on labor duration: a systematic review and meta-analysis.
No full textWorking Toward Defining Frailty in Breast Surgery: A Multi-institution Cohort Study Identifying Risk Factors of Free Flap Failure Following Autologous Breast Reconstruction.
No full textBACKGROUND: The integration of frailty assessments into preoperative evaluation protocols is essential for enhancing surgical procedure safety. As autologous breast reconstruction (ABR) increases in popularity, it is critical to stratify risk in patients with significant comorbidities with an ABR-specific frailty model. The aim of this study was to identify comorbidities associated with patients for unilateral or bilateral ABR flap failure, to develop a frailty index with a multi-institutional database.
METHODS: The TriNetX database was queried for patients who underwent free flap breast reconstruction (CPT code 19364) between 2016 and 2024 across 89 healthcare institutions. Patients who experienced unilateral or bilateral flap failure (ICD-10 T86.821) were identified; preoperative comorbidities that occurred at a significantly different frequency were detected. Subsequently, univariate and multivariable logistic regression analyses were used to identify independent risk factors of free flap failure. Odds ratios were converted into relative risk ratios and probabilities using the baseline frequency of flap failure without any comorbidity.
RESULTS: A total of 10,291 patients who underwent either unilateral or bilateral primary free flap ABR were identified. A total of 120 (1.17%) patients experienced partial or total flap failure. Comorbidities of interest were seen among infectious, oncologic, hematologic, cardiovascular, gastrointestinal, and dermatologic systems. Significant risk factors on multivariable logistic regression included history of anemia (OR, 2.87), breast abscess (OR, 2.98), chronic obstructive pulmonary disease (OR, 3.08), hypertension (OR, 1.69), and body mass index ≥30 (OR, 2.37) (P \u3c 0.05 for all). The baseline frequency of flap failure without any comorbidity was 0.73%. The presence of one or more risk factors increased the probability of 1-week flap failure anywhere from 1.23% (hypertension alone) to 43.69% (all five comorbidities).
CONCLUSIONS: Select preoperative comorbidities were identified as patient-specific risk factors for postoperative flap failure. A future direction may also include identifying complications specific to certain flap techniques and within partial and total flap failures, as well as prospectively tracking data per flap, rather than per patient through the TriNetX database
Clinical Implications of a Psychosocial Needs Assessment in an Urban Pediatric Oncology Clinic
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