Parental knowledge and attitudes to infant immunization in the context of RSV: All about confidence?

BACKGROUND: Recently, the first RSV vaccines have been approved, but vaccine hesitancy still poses great challenges to immunization programs. OBJECTIVE: To investigate this phenomenon in the context of the new RSV vaccines and an increased virus activity in 2022/23, we assessed parental knowledge and attitudes towards general childhood and RSV vaccines. METHODS: Parents of infants from 0-36 months completed an online questionnaire on demographics, socio-economic status, mental well-being, knowledge on RSV and perceptions of disease, attitudes to general childhood and RSV vaccines. The survey was conducted from February-June 2023 in the region of Regensburg, Germany. We compared continuous or categorical data with two-sided t-tests or Chi-square tests, respectively. Linear and logistic regression models were used to adjust for confounders. RESULTS: From 191 survey participants, 84 % had never refused any recommended vaccination and 91 % trusted their paediatrician's information. 11 % felt that children should have fewer vaccinations or rather get over the illness. Parents who were supportive or undecided about RSV vaccination were less likely to be vaccine hesitant in general (OR 0.03, p < 0.001; OR 0.13, p = 0.003). 58 % reported to have basic or good knowledge on RSV, correlating with a higher socioeconomic index (p = 0.049). 24 % were undecided about RSV immunization, while all parents rated its benefit high in the child's first year of life. Parents who refused RSV vaccination were less concerned about the infection compared to vaccine supporters (OR 0.44, p < 0.001). Parents with previously hospitalized (OR 3.88, p = 0.017) or preterm born children (OR 5.12, p = 0.026) were generally more concerned. CONCLUSION: Many factors influence parental decision-making leading to three main groups of attitudes: vaccine acceptors, refusers and hesitant but accessible parents. They (24%) represent the "target group" to increase vaccine uptake. Information on the vaccine-preventable disease reduces vaccine hesitancy, underlining the importance of healthcare professionals who remain an important source of trust.

Arthrosis diagnosis and treatment recommendations in clinical practice: an exploratory investigation with the generative AI model GPT-4.

BACKGROUND: The spread of artificial intelligence (AI) has led to transformative advancements in diverse sectors, including healthcare. Specifically, generative writing systems have shown potential in various applications, but their effectiveness in clinical settings has been barely investigated. In this context, we evaluated the proficiency of ChatGPT-4 in diagnosing gonarthrosis and coxarthrosis and recommending appropriate treatments compared with orthopaedic specialists. METHODS: A retrospective review was conducted using anonymized medical records of 100 patients previously diagnosed with either knee or hip arthrosis. ChatGPT-4 was employed to analyse these historical records, formulating both a diagnosis and potential treatment suggestions. Subsequently, a comparative analysis was conducted to assess the concordance between the AI's conclusions and the original clinical decisions made by the physicians. RESULTS: In diagnostic evaluations, ChatGPT-4 consistently aligned with the conclusions previously drawn by physicians. In terms of treatment recommendations, there was an 83% agreement between the AI and orthopaedic specialists. The therapeutic concordance was verified by the calculation of a Cohen's Kappa coefficient of 0.580 (p < 0.001). This indicates a moderate-to-good level of agreement. In recommendations pertaining to surgical treatment, the AI demonstrated a sensitivity and specificity of 78% and 80%, respectively. Multivariable logistic regression demonstrated that the variables reduced quality of life (OR 49.97, p < 0.001) and start-up pain (OR 12.54, p = 0.028) have an influence on ChatGPT-4's recommendation for a surgery. CONCLUSION: This study emphasises ChatGPT-4's notable potential in diagnosing conditions such as gonarthrosis and coxarthrosis and in aligning its treatment recommendations with those of orthopaedic specialists. However, it is crucial to acknowledge that AI tools such as ChatGPT-4 are not meant to replace the nuanced expertise and clinical judgment of seasoned orthopaedic surgeons, particularly in complex decision-making scenarios regarding treatment indications. Due to the exploratory nature of the study, further research with larger patient populations and more complex diagnoses is necessary to validate the findings and explore the broader potential of AI in healthcare. LEVEL OF EVIDENCE: Level III evidence.

[Outcome of joint replacement in patients with underlying rheumatoid disease]. / Outcome nach Gelenkersatz bei Patienten mit rheumatoider Grunderkrankung.

BACKGROUND: Artificial joint replacement is a meaningful treatment option for patients with advanced rheumatic degenerative joint diseases. The aim of this study was to investigate the influence of the underlying rheumatic diseases on postoperative complications and patient-reported outcome (PRO) after elective total joint replacement (TJR). MATERIAL AND METHODS: In a retrospective analysis of 9149 patients with elective total knee or total hip arthroplasty (TKR and THR), complication rates and PRO of patients with and without rheumatic diseases (RD) were compared. Multivariate logistic regression models were used to determine whether the underlying rheumatic disease was an independent risk factor for various complications. RESULTS: In the univariate analyses the RD patients had an increased risk of medical complications (7.1% vs. 5.2%; p = 0.028) and Clavien-Dindo grade IV complications (2.8% vs. 1.8%; p = 0.048) after TJR. This was confirmed in multivariate statistical analyses (p < 0.034). The rates for operative revisions and surgical complications were comparable (2.5% vs. 2.4%; p = 0.485). Analysis of the PRO showed a higher responder rate in patients with RD after TKR (91.9% vs. 84.5%, p = 0.039). In contrast, the responder rate in patients with RD after THR was comparable (93.4% vs. 93.2%, p = 0.584). CONCLUSION: Despite increased postoperative complication rates, patients with underlying rheumatic diseases showed a comparable outcome 1 year after TJR. After TKR the RD patients showed even higher responder rates. Although RD patients are a vulnerable patient group, they can still benefit from joint replacement.

Caloric vestibular stimulation as a treatment for conversion disorder: a case report and medical hypothesis.

Conversion disorder is a medical condition in which a person has paralysis, blindness, or other neurological symptoms that cannot be clearly explained physiologically. To date, there is neither specific nor conclusive treatment. In this paper, we draw together a number of disparate pieces of knowledge to propose a novel intervention to provide transient alleviation for this condition. As caloric vestibular stimulation has been demonstrated to modulate a variety of cognitive functions associated with brain activations, especially in the temporal-parietal cortex, anterior cingulate cortex, and insular cortex, there is evidence to assume an effect in specific mental disorders. Therefore, we go on to hypothesize that lateralized cold vestibular caloric stimulation will be effective in treating conversion disorder and we present provisional evidence from one patient that supports this conclusion. If our hypothesis is correct, this will be the first time in psychiatry and neurology that a clinically well-known mental disorder, long considered difficult to understand and to treat, is relieved by a simple or common, non-invasive medical procedure.