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Background: Although the number of point-of-care ultrasound devices available in Hungarian primary care practices are increasing due to government funding, their use in day-to-day patient care is limited and unregulated. Our study aimed to evaluate the attitudes and needs of general practitioners (GPs) and patients in Hungary regarding the introduction of bedside ultrasonography in primary care practices. Methods: As a part of a cross-sectional study, an anonymous, self-administered questionnaire was distributed to GPs and patients on a social media platform. Data collection was carried out from August 2023 to October 2023. Chi-square test was used to determine the associations between categorical variables. Results: The survey was completed by 415 GPs (mean age 53.8 ± 11.1 years, 54.9% female, mean 19.5 ± 11.9 years of practice) and 693 patients (mean age 45.5 ± 12.3 years, 95.2% female). There was a statistically significant increase in interest in PoCUS among young and middle-aged GPs (age 28–59; p = 0.02). In addition, this population of GPs was also more likely to undertake training in PoCUS than their older colleagues (p < 0.0001). An inverse relationship was found between the duration of practice and training willingness (p = 0.0011). Even with the government's financial support, only 8.2% of GPs currently use PoCUS in a daily basis, and 59.5% of GPs are unfamiliar with the indications and the ways of using it. Patients would even pay to have the examination done in a primary care setting, even though only 45.9% of patients would pay a GP who is not certified in PoCUS, but the willingness to pay increased to 99.4% for those with formal training (p = 0.024). Conclusion: Our findings indicate a significant interest in adapting PoCUS in primary care from both GPs and patients. Based on the fact that a significant proportion of Hungarian GPs are unaware of PoCUS and its indications, it is particularly important to develop educational frameworks, and practical guidelines for the effective incorporation of PoCUS in Hungary. [ABSTRACT FROM AUTHOR]

Background: Postoperative pulmonary complications (PPCs) are important contributors to mortality and morbidity after surgery. The available predicting models are useful in preoperative risk assessment, but there is a need for validated tools for the early postoperative period as well. Lung ultrasound is becoming popular in intensive and perioperative care and there is a growing interest to evaluate its role in the detection of postoperative pulmonary pathologies. Objectives: We aimed to identify characteristics with the potential of recognizing patients at risk by comparing the lung ultrasound scores (LUS) of patients with/without PPC in a 24-h postoperative timeframe. Methods: Observational study at a university clinic. We recruited ASA 2–3 patients undergoing elective major abdominal surgery under general anaesthesia. LUS was assessed preoperatively, and also 1 and 24 h after surgery. Baseline and operative characteristics were also collected. A one-week follow up identified PPC+ and PPC- patients. Significantly differing LUS values underwent ROC analysis. A multi-variate logistic regression analysis with forward stepwise model building was performed to find independent predictors of PPCs. Results: Out of the 77 recruited patients, 67 were included in the study. We evaluated 18 patients in the PPC+ and 49 in the PPC- group. Mean ages were 68.4 ± 10.2 and 66.4 ± 9.6 years, respectively (p = 0.4829). Patients conforming to ASA 3 class were significantly more represented in the PPC+ group (66.7 and 26.5%; p = 0.0026). LUS at baseline and in the postoperative hour were similar in both populations. The median LUS at 0 h was 1.5 (IQR 1–2) and 1 (IQR 0–2; p = 0.4625) in the PPC+ and PPC- groups, respectively. In the first postoperative hour, both groups had a marked increase, resulting in scores of 6.5 (IQR 3–9) and 5 (IQR 3–7; p = 0.1925). However, in the 24th hour, median LUS were significantly higher in the PPC+ group (6; IQR 6–10 vs 3; IQR 2–4; p < 0.0001) and it was an independent risk factor (OR = 2.6448 CI95% 1.5555–4.4971; p = 0.0003). ROC analysis identified the optimal cut-off at 5 points with high sensitivity (0.9444) and good specificity (0.7755). Conclusion: Postoperative LUS at 24 h can identify patients at risk of or in an early phase of PPCs. [ABSTRACT FROM AUTHOR]