Machine learning algorithms distinguish discrete digital emotional fingerprints for web pages related to back pain.

Back pain is the leading cause of disability worldwide. Its emergence relates not only to the musculoskeletal degeneration biological substrate but also to psychosocial factors; emotional components play a pivotal role. In modern society, people are significantly informed by the Internet; in turn, they contribute social validation to a "successful" digital information subset in a dynamic interplay. The Affective component of medical pages has not been previously investigated, a significant gap in knowledge since they represent a critical biopsychosocial feature. We tested the hypothesis that successful pages related to spine pathology embed a consistent emotional pattern, allowing discrimination from a control group. The pool of web pages related to spine or hip/knee pathology was automatically selected by relevance and popularity and submitted to automated sentiment analysis to generate emotional patterns. Machine Learning (ML) algorithms were trained to predict page original topics from patterns with binary classification. ML showed high discrimination accuracy; disgust emerged as a discriminating emotion. The findings suggest that the digital affective "successful content" (collective consciousness) integrates patients' biopsychosocial ecosystem, with potential implications for the emergence of chronic pain, and the endorsement of health-relevant specific behaviors. Awareness of such effects raises practical and ethical issues for health information providers.

[Case of sialadenitis by iodinated contrast medium in a dialysis patient].

BACKGROUND: Sialadenitis by iodinated contrast medium (i.c.m) oriodine mumps (IM) is a rare and late benign manifestation that occurs independently of intravenous or endoarterial administration modality. If renal function is normal, i.c.m. does not reach salivary glands concentrations able to induce sialadenitis. However, a critical glomerular filtration reduction may lead to salivary ducts edema and glandular swelling after i.c.m. injection. We report a rare case report of IM in a patient on chronic hemodialysis. METHODS: A 72-year-old woman affected by chronic kidney disease on chronic hemodialysis, underwent to endoscopic removal of a rectal cancer. For disease staging, a total body TC with i.c.m. was performed. The following morning, patient showed a soft and aching bilateral paroditidis swelling. Salivary glands ultrasound was diagnostic for sialadenitis. The patient was rapidly treated with betamethasone following by a 240 minutes post-dilution online hemodiafiltration session. RESULTS: Within the next 24h, a complete remission of IM was obtained. CONCLUSION: In our patient, a compensatory hyperactivity of the sodium / iodine symporter (NIS) on salivary gland cells may have played a crucial role in IM induction. An high efficiency hemodialysis session within the few following hours after i.c.m injection is a fundamental tool in patients on renal replacement treatment to prevent IM that is an epiphenomenon of i.c.m. accumulation.