RESUMEN
Objective: To evaluate the effects of an interdisciplinary care team (ICT) model delivered by telemedicine on patients with low back pain (LBP). Design: Retrospective analysis of deidentified pre-existing data. Setting: Retrospective observational study of patients presenting with LBP to a nationwide telemedicine practice using an ICT model. Participants: Over a 9-month period all patients with a diagnosis related to LBP and who had an ICT evaluation (medical doctor, advanced practice provider, health coach, and physical therapist) were included in the study (n=36). A minimum of 2 follow-up physical therapy visits were required for inclusion. Interventions: Patients were evaluated for LBP, received a diagnosis, and were offered a multidisciplinary treatment plan. Additional real-time audio visual medical, health coaching, registered dietician, and physical therapy services were received as deemed clinically appropriate. Main Outcome Measures: Baseline, 30 day, and final pain (mean 81 day) measurements via numerical pain rating scale (NPRS). Baseline and final Patient-Reported Outcomes Measurement Information System (PROMIS)-10 Global Mental/Physical domains. Secondary Outcome Measures: Use of prescription medication, referral for imaging, need for injections, or surgery. Results: 36 patients met criteria. Pain levels included mild (n=6, 16.7%), moderate (n=19, 52.8%), and severe (n=11, 30.6%). Clinically significant pain improvements were noted in 83.3% (n=25) of those with moderate or severe pain. PROMIS Mental and Physical Health categorization from Fair/Poor to Good/Excellent significantly improved over time. The initial 20% (n=7) in Fair/Poor Mental Health improved to 6.3% (n=2) at finish, while the 80% (n=28) in Good/Excellent Mental Health at start improved to 93.8% (n=30) at finish. Regarding Physical Health, 51.4% (n=18) rated Fair/Poor at start and 31.3% (n=10) at finish, while the 48.6% (n=17) rated Good/Excellent at start improved to 68.8% (n=22) at finish. The need for prescription medication was low (n=6, 16.7%) and spinal imaging orders were negligible (n=1, 2.8%). Injections were warranted in 11.4% (n=4) of patients and surgical referral with operative treatment in 2.8% (n=1). Conclusion: Interdisciplinary care delivered through telemedicine can significantly improve pain and support improved health-related quality of life in patients with LBP, with low rates of imaging, prescription, and interventional use.
RESUMEN
Spatially resolved ambient mass spectrometry imaging methods have gained popularity to characterize cancer sites and their borders using molecular changes in the lipidome. This utility, however, is predicated on metabolic homogeneity at the border, which would create a sharp molecular transition at the morphometric borders. We subjected murine models of human medulloblastoma brain cancer to mass spectrometry imaging, a technique that provides a direct readout of tissue molecular content in a spatially resolved manner. We discovered a distance-dependent gradient of cancer-like lipid molecule profiles in the brain tissue within 1.2 mm of the cancer border, suggesting that a cancer-like state progresses beyond the histologic border, into the healthy tissue. The results were further corroborated using orthogonal liquid chromatography and mass spectrometry (LC-MS) analysis of selected tissue regions subjected to laser capture microdissection. LC-MS/MS analysis for robust identification of the affected molecules implied changes in a number of different lipid classes, some of which are metabolized from the essential docosahexaenoic fatty acid (DHA) present in the interstitial fluid. Metabolic molecular borders are thus not as sharp as morphometric borders, and mass spectrometry imaging can reveal molecular nuances not observed with microscopy. Caution must be exercised in interpreting multimodal imaging results stipulated on a coincidental relationship between metabolic and morphometric borders of cancer, at least within animal models used in preclinical research.
